immunomodulatory properties of noni (morinda citrifolia)

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Clemson University TigerPrints All eses eses 5-2010 IMMUNOMODULATORY PROPERTIES OF NONI (Morinda citrifolia) Madhukar Lohani Clemson University, [email protected] Follow this and additional works at: hps://tigerprints.clemson.edu/all_theses Part of the Medical Immunology Commons is esis is brought to you for free and open access by the eses at TigerPrints. It has been accepted for inclusion in All eses by an authorized administrator of TigerPrints. For more information, please contact [email protected]. Recommended Citation Lohani, Madhukar, "IMMUNOMODULATORY PROPERTIES OF NONI (Morinda citrifolia)" (2010). All eses. 806. hps://tigerprints.clemson.edu/all_theses/806

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Page 1: IMMUNOMODULATORY PROPERTIES OF NONI (Morinda citrifolia)

Clemson UniversityTigerPrints

All Theses Theses

5-2010

IMMUNOMODULATORY PROPERTIES OFNONI (Morinda citrifolia)Madhukar LohaniClemson University, [email protected]

Follow this and additional works at: https://tigerprints.clemson.edu/all_theses

Part of the Medical Immunology Commons

This Thesis is brought to you for free and open access by the Theses at TigerPrints. It has been accepted for inclusion in All Theses by an authorizedadministrator of TigerPrints. For more information, please contact [email protected].

Recommended CitationLohani, Madhukar, "IMMUNOMODULATORY PROPERTIES OF NONI (Morinda citrifolia)" (2010). All Theses. 806.https://tigerprints.clemson.edu/all_theses/806

Page 2: IMMUNOMODULATORY PROPERTIES OF NONI (Morinda citrifolia)

IMMUNOMODULATORY PROPERTIES OF NONI (Morinda citrifolia)

A Thesis Presented to

the Graduate School of Clemson University

In Partial Fulfillment of the Requirements for the Degree

Master of Science Animal and Veterinary Science

by Madhukar Lohani

May, 2010

Accepted by: Denzil V Maurice, Committee Chair

Brandon D Moore Thomas R Scott

Joe E Toler

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ABSTRACT

Noni (Morinda citrifolia) is a popular medicinal plant of family Rubiaceae. Its

fruit is rich in various phytochemicals and polysaccharides. Anecdotal evidence indicates

that it was used to stimulate the immune system and, thus, to fight various infections.

Limited in vitro studies also support the immunomodulatory role of Noni, however only

one study utilized an animal model. The purpose of this study was to examine the

immunomodulatory properties of Noni fruit the broiler chicken.

Different concentrations of dietary Noni were added to diets and fed to day-old

broiler chickens for 3 to 6 weeks. Gut tissue and blood were sampled to determine the

expression of selected genes, concentration of immunoglobulins and α1-acid

glycoprotein. The results showed that Noni at 6% concentration increased the expression

of Toll like receptor -4 (TLR-4) and TLR-5, chemokine (IL-8), interleukin-12 (IL-12),

and decreased the expression of IL-6 and TLR-7. At 4% concentration, Noni stimulated

the expression of TLR-3. Increased expression of TLR-3, TLR-4 and TLR-5 indicate

antiviral and antibacterial properties of Noni fruits in chickens that are further

strengthened by increased expression of IL-12 and IL-8. Decreased expression of IL-6

indicates anti-inflammatory properties of Noni. However, Noni did not have effects on

serum and gut immunoglobulins or α1-acid glycoprotein concentration. Further

investigations will be necessary to explore the active immunomodulatory ingredients of

Noni and their effects on immunity during viral and bacterial infections.

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DEDICATION

I dedicated this work to my parents and the almighty God who provides me the

eternal source of energy to pursue my goals in life.

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ACKNOWLEDGEMENTS

I would like to thank my advisor, Dr. Denzil Maurice, for his excellent mentoring

and his assistance during the course of my graduate program. His encouragement and

inspiration provided the source of enthusiasm for completing the task. I highly appreciate

his guidance during research that enhanced my thinking. I also appreciate his wife Ms.

Diana for providing encouragement during my initial failures in research.

I am highly grateful to Dr. Brandon Moore for providing molecular facilities.

Inspite of his busy schedule he taught me the concepts of molecular research. I am

thankful to his graduate student Dr. Rucha Karve who provided valuable assistance

during the early phase of laboratory work. I appreciate Dr. Joe Toler for discussing

statistical concepts of research design and helping me to calculate the statistics not only

by software but also manually. I would like to thank Dr. Thomas Scott for serving on my

advisory committee, guidance in the early phase of the study, and critical assessment and

assistance in the final stages.

I am thankful to my colleagues and/or friends Ms. Rucha, Mr. Tassema, Ms. Erin

Curry, Ms. Ashley, Ms. Crystal, Ms. Rachel, Ms. Katie, Ms. Emily, Mr. Jason, Mr. Dale,

Ms. Marcia, Ms. Linda, Ms. Heidi, Mr. Bill, Mr. Randheer, Mr. Biswa, Mr. Manoj, Mr.

Sahu, Ms. Wooten and Ms. Fiona for encouragement.

Finally, I wish to express my sincere regards to my parents and relatives for providing

continuous support, love and encouragement during my study.

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TABLE OF CONTENTS

Page

TITLE PAGE ....................................................................................................................i ABSTRACT.....................................................................................................................ii DEDICATION ................................................................................................................iii

ACKNOWLEDGEMENTS ............................................................................................iv

LIST OF TABLES .........................................................................................................vii

LIST OF FIGURES ......................................................................................................viii CHAPTER

1. INTRODUCTION .......................................................................................................1

II. LITERATURE REVIEW............................................................................................3

Introduction..........................................................................................................3 Immunomodulatory Properties of Noni Fruit .....................................................3 Immunomodulatory Polysaccharides in the Noni Fruit .......................................8 Immunomodulatory Properties of the Phytochemicals......................................10 Iridoids ...........................................................................................................11 Flavonoids .....................................................................................................12 Lignans ..........................................................................................................13 Anthraquinones .............................................................................................14 Fatty Acid Esters ...........................................................................................15 Miscellaneous Phytochemicals .....................................................................16 III. EFFECTS OF DIETARY NONI SUPPLEMENTATION ON IMMUNE RESPONSES AFTER LPS CHALLENGE IN BROILERS .................................20 Materials and Methods .......................................................................................20 Animals and Husbandry .................................................................................20 Experimental Design and Dietary Treatment ................................................20

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Table of Contents (Continued)

Page Sample Collection ....................................................................................................21 Serological and Gut Tissue Analysis .......................................................................21 Statistical Analysis ...................................................................................................23 Results............................................................................................................................24 Discussion .....................................................................................................................28 IV. EFFECTS OF DIETARY NONI SUPPLEMENTATION ON GENE EXPRESSION AND IMMUNOGLOBULINS IN BROILERS ...........31

Materials and Methods ..................................................................................................31 Experimental Design and Dietary Treatments ..........................................................31 Sample Collection ....................................................................................................31 Serum and Gut Immunoglobulins Analysis ..............................................................32 RNA Isolation, Quantification, and Real-Time PCR ...............................................32 Semi-Quantitative RT-PCR and Gel Electrophoresis ..............................................33 Real-Time Data Analysis ..........................................................................................34 Statistical Analysis ...................................................................................................35 Results ...........................................................................................................................37 Discussion ......................................................................................................................42 APPENDICES ..............................................................................................................47

A. Extraction of IgA Antibody from Chicken Gut Tissue......................................48 B. Collection of Tissue for RNA Extraction ..........................................................49 C. Extraction of Total RNA ...................................................................................51 D. Conversion of mRNA to cDNA and Amplification of cDNA ..........................54 E. Conversion of mRNA to cDNA and Amplification of cDNA for Gel Electrophoresis ..................................................................................................56 F. Primer Sequences...............................................................................................59

REFERENCES .............................................................................................................60

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LIST OF TABLES

Table Page 2.1 Noni fruit phytochemicals and their biological activities .......................................18 3.1 Performance and relative organ weights of broiler chicks fed dietary Noni from day-old to 3 weeks of age ...................................................25

3.2 Immune responses of broiler chickens fed dietary Noni from day-old to 3 weeks of age 6 h post LPS challenge .........................................26 3.3 Immune responses of broiler chickens fed dietary Noni from day-old to 3 weeks of age 24 h post LPS challenge .......................................27

4.1 Description of standard curves used in data analysis ..............................................35 4.2 Immune responses of broiler chickens fed dietary Noni from day-old to 6 weeks of age................................................................................38

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viii

LIST OF FIGURES

Figure Page 2.1 Chemical structure of iridoids..................................................................................11 2.2 Chemical structure of flavonoids .............................................................................12 2.3 Chemical structure of lignans ..................................................................................14 2.4 Chemical structure of anthraquinones .....................................................................15 2.5 Chemical structure of 6-O-(β-D-glucopyranosyl)-1-O- -octanoyl-β- glucopyranose......................................................................................16 4.1 Effect of 6% dietary Noni supplement on genes expression in caecal

tonsil of broilers fed to 6 weeks of age starting from day-old chicks using semi quantitative RT-PCR ..................................................................39

4.2 Effect of 4% dietary Noni supplement on gene expression in caecal

tonsil of broilers fed to 6 weeks of age using Real-Time PCR .............................................................................................40

4.3 Effect of 6% dietary Noni supplement on gene expression in caecal

tonsil of broilers fed to 6 weeks of age using Real-Time PCR .............................................................................................41

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CHAPTER I

INTRODUCTION

Herbal and natural products of folk medicine have been used for centuries in

every culture throughout the world. Due to the prohibition of sub-therapeutic use of

antibiotics in food animal industry by some countries, the possibility of a ban in other

countries, and increasing demand for natural products with health benefits, the

importance of medicinal plants have increased in recent years.

Noni (Morinda citrifolia), also known as Indian Mulberry, Ba Ji Tian, Cheese

Fruit and various other names in different countries, is a popular medicinal plant. Its fruit

is rich in a variety of phytochemicals and polysaccharides. Results from limited studies

demonstrated immunomodulatory effects of these constituents in in vitro experiments

(Hirazumi et al., 1996, 1999, Furusawa et al., 2003, Pawlus et al., 2005 Akihisa et al.

(2007). Considering the health benefits of Noni juice, the European Commission of

Health and Consumer Protection accepted it as a novel food (Opinion of the Scientific

Committee on Food on Tahitian Noni® Juice, 2002).

Health is directly related to the immune status of an animal. Gut mucosal

immunity is important in this regards as the gut represents the largest surface area of the

body that contacts with external milieu and thus interacts with diverse chemicals and

infectious or non-infectious agents. Gut mucosa have some unique features to cope with

these antigens. For example, the presence of the microfold cell (M cell) on mucosa

facilitates the uptake of antigen from gut lumen to immune cells, which contain

secondary lymphoid organs (e.g., Peyer’s patches) and thus stimulates the mucosal

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immunity. Also, the total number of lymphocytes present in mucosal surface is greater

than in primary lymphoid organs like spleen and lymph node. Macrophages and dendritic

cells, present in these secondary lymphoid organs, are the first cells that interact with

antigens, primarily via Toll-like receptors, and produce proinflammatory cytokines that

further potentiate the immune response. Other cells, like B-1, of the innate immune

system reside in secondary lymphoid tissue and are responsible for the secretion of

natural antibodies. These antibodies neutralize a broad range of antigens including

polysaccharides. Interestingly, in contrast to adaptive immunoglobulins, the production of

natural antibody does not require T cells or prior exposure to the pathogen.

The purpose of this study was to examine the immunomodulatory properties of

Noni. The study was conducted in two phases. The first experiment determined whether

dietary Noni supplementation enhanced antibody titers, which includes natural

antibodies, during induced inflammation. The second experiment examined the effects of

dietary Noni supplementation on gene expression of Toll-like receptors, proinflammatory

cytokines, and chemokines in gut associated lymphoid tissue as well as systemic and gut

associated antibody production. Supplementation of different concentrations of dietary

Noni fruit puree to broilers, enhanced gene expression of Toll-like receptors, interleukins

and chemokine, however did not effect immunoglobulin concentration. These results

indicate immunomodulatory properties of Noni.

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CHAPTER II

LITERATURE REVIEW

Introduction

The Noni plant is one of approximately 11,000 species of the family Rubiaceae, some

of which are used to treat various diseases. Also known as Indian Mulberry, Ba Ji Tian,

Cheese fruit and various other names in different countries, it is the second most popular

plant used for curative and preventive purposes in Polynesia (Krauss, 1993) as almost all

of its parts in various combinations including root, stem, bark, fruits and leaves have been

used to treat various known acute and chronic diseases in this region for 2000 years

(Whistler, 1985; Bruggnecate, 1992). However, there are no written scientific documents

discussing the ancient use of this fruit as an immunomodulator, even though anecdotal

evidence indicates that it was used to fight various infections and therefore likely

stimulated the immune system (Earle, 2001). The current research focuses on the effect

of the polysaccharides and phytochemicals of Noni on the immue system.

Immunomodulatory Properties of Noni Fruit

The results of recent studies support this role of Noni fruit (Sunder et al., 2007; Li et

al., 2008; Zhang et al., 2009). The nutrient composition and chemical analyses of Noni

fruit suggest that its polysaccharides and phytochemicals have immunomodulatory

effects as evidenced by the results of in vitro experiments (Hirazumi et al., 1996, 1999;

Furusawa et al., 2003; Pawlus et al., 2005; Desai et al., 2009).

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Immunoglobulins and cytotoxic T-cells are the important components of humoral and

cell-mediated immune system, which effectively eliminate the pathogen during infection.

Sunder et al. (2007) first reported the effects of Noni fruit juice on humoral and cellular

immunity. They found that supplementation to broiler chickens of 5% Noni crude fruit

juice in drinking water to 6 weeks of age significantly increased the total antibody titers

against goat red blood cells at 3 weeks of age. However, increment of total antibody titers

does not necessarily reflect the enhancement of immune status as population of certain

types of antibodies are required to neutralize or stimulate complement activation. Cell-

mediated immunity was measured by response to T-cell mitogen in terms of skin index to

phytohaemagglutinin-P (PHA-P) injection measured 24-h post injection. The response to

PHA-P was to be not found significant. To examine whether Noni-stimulated humoral

immunity provided sufficient protection against infectious diseases, 3-week old broilers

were challenged with infectious bursal disease virus (IBDV), and Noni treatment reduced

approximately 75% mortality. However, it is thought that immunity against IBDV

correlates with antibody titer, but enhancement of cell-mediated immunity is necessary

for protection against the virus which was not affected by Noni in this experiment

(Rautenschlein et al., 2002). Sensitivity of the technique to measure cell-mediated

immunity and provision of Noni juice in drinking water, as only water soluble

compounds were taken by broilers, might be factors that contributed to the lack of

response to Noni treatment. The results of this study provide limited information about

the immunomodulatory effects of Noni on immunity.

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Schafer et al. (2008) utilized dairy calves as an animal model and reported that Noni

fruits have antibacterial properties. Feeding 30 ml of Noni fruit puree twice a day per calf

to newborn calves for up to 2 weeks enhanced bactericidal activities of blood against E.

coli in an in vitro assay. Their findings need to be further investigated as the conclusion

was based on the median differences not the true mean of the data. Based on the results,

these authors hypothesized that the bactericidal activity of Noni may be due to the

modulation of the neonatal immune system. To examine this hypothesis, Brook et al.

(2009) measured the expression of alpha chain (CD25+) of IL-2 receptor on CD8+ and

CD4+ T cells and found increased gene expression of CD25+ on these cells at 3 days of

age. Activated IL-2 receptor transduces cell proliferation signal thus enhance immune

cells population. To check whether the higher expression of this receptor correlated with

the protection against bacterial infection, they supplemented 30 ml of Noni puree every

12 h in Salmonella Dublin and Salmonella Newport infected calves and found a 54%

reduction in total medical treatments per calf as compared to control. This study indicated

the positive correlation of CD25+ with protection against infection, even though enhanced

expression of β and γ subunits are necessary for signal transduction, and these were not

examined. Based on these findings, Darien et al. (2009) determined whether Noni puree

stimulates cell-mediated immunity or humoral immunity. They found that incubation of

0.1 to 10 mg/ml concentration of Noni puree with isolated peripheral blood mononuclear

cells for 4 or 24 h increased the secretion of IL-2, INF-γ, IL-4 and IL-5 in a dose

dependent manner. Interestingly, incubation with Noni puree for 4 h induced a greater

concentration of these cytokines as compared to 24 h incubation. This in vitro study

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indicates that Noni puree potentiated cell-mediated, as well as humoral immunity.

However, for providing the protection against infections it is necessary to examine the

overall outcome of these cytokines in terms of immunoglobulins and different subsets of

effector immue cell populations. Also, IL-4 and INF-γ have antagonizing effects on the

immune response and thus affects the net outcome of immunity.

To examine the possibility of Noni influencing neonatal immunity, the diet of dams

was supplemented with puree, and gene expression was measured in umbilical cord

blood. Noni supplementation during gestation increased gene expressions of Toll-like

receptors (TLRs-1,-2,-4,-5, and 10), interleukins (IL-4, IL-17) and their receptors (IL-4R,

IL-17RA, IL17RB), chemokine (CXCL11), co-stimulator CD27, TNF-α, and Foxp3. It is

interesting that both IL-17 and Foxp3 expression are increased simultaneously, as IL-17

stimulates the innate immune response while Treg cells, which are regulated by Foxp3,

have a suppressive effect on immunity.

Preventive as well as prophylactic treatments of mice with fermented Noni exudate or

its supernatant showed antitumor activity against S180 tumor cells. Fermented Noni

Exudate (fNE) or its supernatant at a dose of 500 µl/day/mouse for 3 days via i.p.

injections increased the percentage of granulocytes and Natural Killer (NK) cells, and

decreased the CD19+ B cells in spleen, peritoneum and peripheral blood of C57BL/7J

mice (Li et al., 2008). These changes in immue responses were positively correlated with

the survival of C57BL/7J mice challenged with S180 tumor cells. However they did not

determine the expression of CD21 on B cells or dendritic cells to examine the

complement modulatory activity of Noni as CD21 binds with the C3d component of

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complement system. Interestingly, similar doses of Noni did not reduce the mortality in

functional NK deficient beige mice. The results indicated that Noni shows anti-tumor

activity via stimulating NK cells. Li et al. (2008) also observed that Noni treatment

increased the duration of survival of thymus (T-cell producing organ) deficient nude mice

but did not influence survivalibility. The suggestion that Noni may also modulate T cells

which may help to eliminate the tumor with NK cells in C57BL/7J mice is supported by

the fact that CD8+ cells are increased in C57BL/7J mice peritoneum. However, they also

showed that Noni enhanced the memory of tumor immunity but they did not compare the

treated data with survived tumor challenged mice from control group. According to the

authors, Noni treatment provided long-term protection; i.e., anti-tumor memory

development. It is not clear whether this was the result of either tumor challenge or Noni

treatment due to insufficient information in control group.

Incubation of pretreated LPS-matured dendritic cells with 1-10% fermented Noni

Exudate (fNE) increased proliferation of syngeneic splenocytes that contain a variety of

immune cells (Zhang et al., 2009). They further examined a subpopulation of splenocytes

and found that B cells and CD4+ T cells increased significantly but that the population of

NK cells and CD8+ cells was unaffected. These in vitro findings are contradicted by the

in vivo findings of Li et al. (2008) that NK cells are increased in number due to fNE

treatment. Proliferation of B cell was not directly stimulated by fNE, but the addition of

immature or LPS matured dendritic cells enhanced B-cell proliferation. The highest

proliferation was found at the fourth day of incubation. However it is conceivable that the

responses to fNE are due to endotoxins such as lipopolysaccharides. The fNE used in the

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study was analyzed and found to contain endotoxins and fNE positive for endotoxins

stimulated proliferation. The proliferative activity was independent of CD-40 of B cells

and required the direct contact between B cells and dendritic cells, and further allowed

these cells to grow up to 3 weeks, resulting in increased IgG and IgM immunoglobulin

concentrations. These findings suggest that fermentated Noni Exudate stimulates the

humoral immune response via stimulating LPS matured dendritic cells or endotoxins in

fNE induce the response.

Immunomodulatory Polysaccharides in the Noni Fruit

Analysis of alcohol precipitated fraction of Noni fruit showed that it contained 80%

pectins and 5% protein-bound arabinogalactans (Bui et al., 2006). Similar purified

polysaccharide fractions isolated from other plant sources exhibited immunological

activities (Luettig et al. 1989; Chintalwar et al. 1999; Lim et al. 2003).

Hirazumi et al. (1996, 1999) studied the effects of polysaccharide rich alcoholic

precipitates of Noni on nitrite production by cultured mice peritoneal macrophage cells

which contribute to bactericidal activity of macrophage. Fractions precipitated by

repeated treatment with ethanol and solubilized in medium enhanced nitrite production.

The same dose of solubilized Noni precipitates when combined with 25 U/ml of INF-γ

exhibited a synergistic effect on nitrite production, which increased fourfold compared to

solubilized precipitates, only. Incubation of different concentrations of precipitates with

isolated human peripheral mononuclear cells for 24 hours increased the IL-1β and TNF-α

production up to 30-250 pg/ml in a dose dependent manner and the relationship was

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linear within the range of 100 to 1000 μg/ml of precipitates. Noni precipitates at 1.25

µg/ml concentration also increased the IL-1β and IL-12 production from mice

macrophage when incubated for 16 and 24 h, respectively. Incubation of similar

concentration of Noni precipitates with splenocytes in the presence of mitogen inhibited

IL-4, enhanced IL-10 production, but had no effect on IL-2 secretion. Similar incubation

experiment with thymocytes increased INF-γ secreation. Polysaccharides of Noni also

exhibited antitumor activity via modulating immune system (Hirazumi et al., 1999).

Prophylactic and therapeutic treatments of Noni precipitates against LLC1 or S180 tumor

cells challenged mice increased survivability and life span. Antitumor activity of Noni

precipitates was abolished with simultaneous treatment of macrophage, NK cells or T cell

inhibitors. Combined with interferon, the antitumor response of precipitates increased

synergistically in both prophylactic and therapeutic treatments (Hirazumi et al., 1999;

Furusawa et al., 2003). These results suggest that Noni polysaccharides stimulate cell-

mediated immunity, but the researchers did not examine the endotoxin contamination of

Noni precipitates. The procedure did not eliminate the possibility of bacterial growth

during exposure of ripe fruit to sunlight for 1-3 days prior to juice collection and

preparation of precipitate

Peritoneal exudate cells, from mice provided Noni juice at a dose of 100 ml for 15

days, cultured with 3-12 µg/ml concentrations of concanavalin A in the presence of LPS

decreased secretion of IL-4 (Palu et al., 2008). In the same study, incubation of

polysaccharide-rich Noni precipitates with similar cells suppressed INF-γ production.

This observation was contradictory to the finding of Hirazumi et al. (1996, 1999). Palu et

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al. (2008) correlated the immune suppression with increased binding of cannabinoid

receptor-2 (CB-2) to its ligand by Noni fruit juice concentrate but they did not examine

the effect of polysaccharide-rich precipitates on the receptor.

Polysaccharides, hydroalcoholic and aqueous extracts, and alkaloids, and

anthraquinone compounds extracted from the dried Noni fruit powder enhanced the

phagocytic activity of neutrophils in in vitro assay. Oral dosing of these fractions also

increased serum IL-6 in vaccine challenged mice (Nayak et al. 2009).

Immunomodulatory Properties of the Phytochemicals

Phytochemicals refer to the chemicals present in plants, which may or may not be

nutrients, that affect health (Linus Pauling Institute of Micronutrient Research for

Optimum Health). However, limited studies have been examined the effect of Noni fruit

phytochemicals, but similar phytochemicals from the different sources have been

reported to exhibit immunological properties (Table 2.1). The phytochemicals isolated

from the Noni fruit belong to five major classes - iridoids, flavonoids, lignans,

anthraquinones and fatty acid esters. (Wang et al., 1999, 2000; Su et al., 2005; Kamiya et

al., 2004, 2005; Pawlus et al., 2005; Pawlus et al., 2005; Schripsema et al., 2006;

Dalsgaard et al., 2006; Deng et al., 2007; Lin et al., 2007; Zin et al., 2007; Akihisa et al.,

2007 and Nayak et al. 2009).

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Iridoids

Iridoids are terpenes synthesized from two isoprene (2-methyl-1, 3-butadiene)

units and are intermediates in alkaloid biosynthesis. Chemically, iridoids consist of a

cyclopentane ring fused with an oxygen heterocycle (Figure 2.1).

Figure 2.1 Chemical structure of iridoids

Although the iridoids in the Noni fruit have not received much research attention,

studying similar iridoids extracted from different plant sources have shown regulatory

effects on immune cells in an in vitro model. For example, Cimanga et al. (2003)

reported that gaertneroside, which structurally resembles the citrifolinoside of Noni fruit,

inhibited the classical pathway of the complement system. Complement system is a

biochemical pathway that either helps antibodies to eliminate antigen from the body or

directly kill the pathogen. However, this study did not explore the affected component of

complement pathway by the gaertneroside and thus provides limited information of anti-

complementary activity of iridoid. It seems that iridoids also check the adverse reactions

of immune cells in the body, since deacetyl asperulosidic acid from Oldenlandia diffusa

inhibited by 64% the oxidation of low density lipoproteins. This is one mechanism by

which these phytochemicals can reduce atherosclerosis due to the oxidation of lipids by

macrophages (Kim et al., 2005). Similarly, Li et al. (2006) reported that asperuloside and

deacetylasperulosidic acid extracted from Lasianthus acuminatissimus, inhibit the

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secretion of TNF-α by cultured mouse peritoneal macrophage cells, with IC50 values of

0.52 and 1 µg/ml, respectively.

Flavonoids

Flavonoids are a group of pigments present in plants. Chemically, flavonoids

consist of two benzene rings linked with either a heterocycle pyran or pyrone ring

(Middleton et al., 2000; Figure 2.2).

Figure 2.2 Chemical structure of flavonoids

Quercetin, kaempferol and catechin isolated from different plants or in a

chemically pure form have been investigated concerning their possible immunological

properties in an in vitro model. The results indicate that quercetin inhibits antigen-

stimulated histamine release by human basophils and mast cells, over a range of 5 to 50

µM in a dose dependent manner (Middleton et al., 1981; Grossman et al., 1988).

Quercetin also inhibites leukocyte migration, and leukotriene-B4 (LTB-4) and

prostaglandin-E2 (PGE2) concentrations in carrageenan-induced pleural exudates

(Mascolo et al., 1988). In further investigation, these authors found that similar

compounds inhibited the synthesis of ionophore-stimulated leukotriene B4 (LTB-4) in

leukocytes. The phytochemicals, quercetin and kaempferol triglycosides extracted from

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the leaves of Morinda morindoides (of the Noni genus) have been found to exhibit their

anti-complementary activity on the classical and alternative pathways in an in vitro assay

(Cimanga et al., 1995). However, this study did not examine the mechanism by which

quercetin and kaempferol inhibited complement pathways and thus provides limited

information of anti-complementary effects of these phytochemicals.

Flavonoids have also been found to affect cytokine production. Data obtained by

Matsunaga et al. (2001) showed that epigallocatechin gallate reduced production of IL-

10, while at the same time stimulating production of IL-12 and TNF-α, and stimulating

gene expression of INF-γ by bacterial induced cultured macrophages. Preincubation or

coincubation of the polymeric or dimeric form of catechin or epicatechin reduced nitrous

oxide secretion by stimulated macrophages in a concentration dependent manner, with an

IC50 value of 50 μg/ml (Terra et al., 2007). Similarly, Shim et al. (2008) reported that

epigallocatechin decreased T-cell proliferation and IL-2 secretion by inhibiting the

MAPK and phospholipase-C pathways, via high affinity binding to ZAP-70 kinase (Kd

of 0.6 µM).

Lignans

Lignans are important class of phytoestrogen found in plants. These are

polyphenolic chemicals derived from phenylalanine and monolignols (Figure 2.3,

Checker et al., 2007).

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Figure 2.3 Chemical structure of lignans

Epidemiological studies have suggested that lignans might be helpful in reducing

the risk of breast, ovarian and prostate cancers in humans (Linus Pauling Institute of

Micronutrient Research for Optimum Health). This potential anticancerous property may

be due to their anti-proliferative effect on cancer cells. It appears that lignans may also

suppress proliferation of immune cells. No lignans of Noni fruit have been studied for

their immunomodulatory activities. However, a study conducted by Gredel et al. (2008)

suggested that lignans can suppress the immune system. These researchers found that the

coincubation of 10 µM of matairesinol inhibited the proliferation of peripheral

mononuclear cells. They also reported that matairesinol and secoisolariciresinol had an

inhibitory effect on IL-4, INF-γ and TNF-α secretion by the same cells at 50 µM (Gredel

et al., 2008).

Anthraquinones

Anthraquinones contain two fused benzene rings with an oxygen heterocycle

(Figure 2.4) and are abundantly found in the roots of a variety of plants. Based on mice

and rat studies, conducted by the National Toxicological Program, anthraquinones are

considered to be carcinogens (http://ntp.niehs.nih.gov/files). However, these are

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considered non toxic in Noni fruits, since they are present in a trace amount (Pawlus et

al., 2005).

Figure 2.4 Chemical structure of anthraquinones

For example, under in vitro conditions 0.9 pM concentration of 2-methoxy-1,3,6

trihydroxyanthraquinone extracted from Noni fruit was required to double the activity of

the phase II antioxidative enzyme, quinone reductase, as compared to 0.34 µM of the

positive control L-sulforaphane. Based on these results, the concentration of Noni

anthraquinone required to inhibit 50% of cell growth (ID50) for this compound was 7

times higher than L-sulforaphane. These results indicate that the anthraquinones found in

Noni fruit have extremely low toxic potential and may even have a beneficial effect on

health (Pawlus et al., 2005).

Fatty Acid Esters

The fatty acid esters found in Noni fruit are primarily short chain fatty acids with a

glucopyranose ring (Figure 2.5).

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O

OCO(CH2)4CH3

CH2

OH

OH

OH

OH

O O CH2OH

OH

OH

Figure 2.5 Chemical structure of 6-O-(β-D-glucopyranosyl)-1-O-octanoyl-β- glucopyranose

Akihisa et al. (2007) determined the anti-inflammatory effect of fatty acid esters

isolated from Noni fruits by examining of the anti-inflammatory activity of the esters

utilized mouse an animal model. They found that topical application of these esters [2-O-

(-D-glucopyranosyl)-1-O-octanoyl--D-glucopyranose, 2-O-(-D-glucopyranosyl)-1-O-

hexanoyl--D-glucopyranose, 6-O-(-D-glucopyranosyl)-1-O-octanoyl--D-

glucopyranose and 2,6 –di-O(-D-glucopyronosyl)-1-O-octanoyl--D-glucopyronose]

inhibited 12-O-tetradecanoylphorbol-13-acetate (TPA) induced ear inflammation in mice

with ID50 values, of 0.46-0.79 mg per ear.

Miscellaneous Phytochemicals

In addition to these 5 classes of phytochemicals, Noni fruits contain various other

phytochemicals which also have immunomodulatory activities. For example, Su et al.

(2005) found that the glycosidic form of -sitosterol palmitate showed strong anti-

complementary activity against the classical pathway in an in vitro assay with IC50 of

1µM. This concentration was approximately 77 times lower than the control (Yoon et al.,

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17

2005). In further research, Desai et al. (2009) studied the effect of this phytochemical on

immune cells, reporting that a 4 µM concentration of β sitosterol inhibited the release of

IL-10 secretions from peripheral blood mononuclear cells isolated from multiple sclerosis

patients compared to healthy individuals. However, it enhanced IL-10 secretion and

reduced the proliferation of peripheral blood mononuclear cells isolated from healthy

individuals at the same concentration compared to control.

In addition, vanillin  (4-hydroxy-3-methoxybenzaldehyde) detected in the alcoholic

extracts of Noni fruit inhibited carrageenan-induced paw edema of rats in a dose

dependent manner, ranging from 12.5 mg/kg to 50 mg/kg per os. This inhibitory effect

was correlated with the antioxidative activity of the compound in an in vitro assay (Lee et

al., 2006). Similarly, Murakami et al. (2007) demonstrated that 100-500 μM

concentrations of vanillin were potent inhibitors of LPS-stimulated cyclooxygenase-2

(COX-2) expression in macrophages.

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Immunomodulatory Properties of Noni Fruit Compounds Immune

response Anti-complementary

Anti-inflammatory

Anti-oxidation

References

Iridoids Asperuloside - + Li et al. (2006) Deacetylasperulosidic acid

- + Kim et al. (2005) Li et al. (2006)

Flavonoids

Quercetin - + + +

Middleton et al. (1981) Cumella et al.(1987) Grossman et al. (1988) Mascolo et al. (1988) Aviram et al. (1998) Cimanga et al. (1995)

Kaempferol triglycosides

+ Cimanga et al. (1995)

Catechin - Terra et al. (2007)

Epigallocatechin Matsunaga et al. (2002) Shim et al. (2008)

Lignans 3,3’ bisdemethylpinoresinol

+ Kamiya et al. (2004)

Americanol A + + Kamiya et al. (2004) Americanin A + Kamiya et al. (2004) Americanoic acid A + Kamiya et al. (2004) Anthraquinones

2-methoxy-trihydroxyanthraquin

+ Pawlus et. al. (2005)

Table 2.1 Noni fruit phytochemicals and their biological activities

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19

one Fatty Acid Ester - + Akihisa et al. (2007) Miscellaneous

Β sitosterol -/+ + Yoon et al. (2005) Desai et al. (2009)

Vanillin + + Lee et al. (2006) Murakami et al. (2007)

Note: + and – sign and indicates the stimulatory and inhibitory effects on the response or activity. +/-

sign indicates both effects.

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CHAPTER III

EFFECTS OF DIETARY NONI SUPPLEMENTATION ON IMMUNE RESPONSES AFTER LPS CHALLENGE IN BROILERS

Materials and Methods

Animals and Husbandry

Day-old broiler chicks were obtained from a commercial hatchery. Chicks were

provided with free access to water and practical corn-soy diet during the experiment. All

procedures with chickens were approved by Clemson University Institutional Animal

Care and Use committee.

Experimental Design and Dietary Treatments

The study was conducted using 108 day-old commercial broiler chickens

distributed at random to 18 wire-floor pens (six birds per pen). A practical corn-soy diet

was supplemented with either 0, 1 or 2% (w/w) concentrations of Noni crude fruit

preparation to determine the minimum dose requirement of Noni that modulates

immunity (Whole Noni fruit puree, 047-058-01, Morinda Agriculture Products Inc.,

Utah), and the three dietary treatments were assigned at random to the 18 pens to provide

replications per treatment (n=6). The diets were fed from day-old to the 21 days of age.

At 21 days of age, two pairs of birds were randomly selected from each pen, and each

pair treated with either 2% lipopolysacchride (LPS) (L 7261, Sigma-Aldrich, St. Louis,

MO) dissolved in normal saline or normal saline at 2mg/kg via intraperitoneal (i.p.) route.

Blood and tissue samples were collected at 6 h and 24 h post LPS challenge.

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Sample Collection

To assess the systemic immunoglobulin concentration and serum α1-acid

glycoprotein, blood samples were collected via cardiac puncture of birds at 6 and 24

hours after LPS challenge. Serum was separated by centrifugation at 500 X g for 30

minutes and stored at -4 0C until further analysis. For detection of gut tissue

immunoglobulins, approximately 1 centimeter length of the gut tissue, along with its

content, was cut from right side of Meckel‘s diverticulum (towards the ceca) after

opening the abdominal cavity of the birds aseptically, and was stored at -800 C until

further analysis. Feed consumption, body weight, liver, spleen, and bursa weights were

also recorded.

Serological and Gut Tissue Analysis

Serum IgA, IgM and IgG, and intestinal IgA antibodies were estimated by a

sandwich enzyme-linked immunosorbent assay (ELISA) using kit (E30-102,-103,-104,

Bethyl Laboratories, Montgomery, TX). Briefly, 96-well flat bottomed microtiter plates

(01-010-3855, Dynatech, Chantilly, VA) were coated with 100 µl of a 1:100 dilution of

goat antichicken IgG in coating buffer (0.05 M carbonate-bicarbonate buffer, pH 9.6) and

incubated for 1 h. Plates were then washed five times with wash solution (50 mM Tris,

0.14 M NaCl, 1% BSA, 0.05% Tween 20, pH 8.0) and blocked for 30 minutes using 200

µl of blocking buffer (50 mM Tris, 0.14 M NaCl, 1% BSA, pH 8.0) to avoid non-specific

binding on well surface. After washing, 100 µl of diluted serum (1: 20000, 1: 10000 and

1: 5000 times for IgG, IgM, and IgA, respectively) in sample diluent (50 mM Tris, 0.14

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M NaCl, 0.05%Tween-20, 1% BSA, pH 8.0) and gut tissue supernatant in phosphate

buffer saline (1:200) were then added and plates were incubated for 1 h. All samples were

added in duplicate. Blanks (no test sample) and serial dilutions of chicken IgG, IgM or

IgA standards were also included on each plate. Samples, those absorbance values were

above than upper limit of standards’ absorbances or that had more than 10% variations in

absorbance between duplicates were run again. Standards were run in each plate.

Following incubation, plates were washed 5 times with wash solution and subsequently,

100 µl horseradish peroxidase conjugated chicken IgG, IgM or IgA detection (diluted 1:

10000 in sample diluents) antibodies were added and incubated for 1 h. After incubation,

plates were washed five times with wash solution and 100 µl of substrate, ABTS [2, 2’ –

azino-bis (3- ethylbenzthiazoline-6-sulfonic acid)], was then added and plates were

incubated for 15 minutes. The absorbance was measured at 405 nm using a microplate

reader (Thermomax model 1989) and calculated concentration using standard curve. All

procedures were done at room temperature. The minimum detection limit of ELISA essay

for IgA, IgG and IgM immunoglobulins were 15.625, 3.12, and 3.9 ng/ml, respectively.

Intestinal IgA was extracted as described by Haghighi et al (2005), (Appendix 1), and

results were expressed in terms of total soluble protein measured by the bicinchoninic

acid (BCA) method (232-23,-24, Thermo Scientific, Rockford, IL). Serum α1- acid

glycoprotein (AGP) was measured by chicken α1- acid glycoprotein measurement kit

(P0801-1, The Institute for Metabolic Ecosystem, Miyagi, Japan). Briefly, plates with

chicken anti-AGP antibody in agarose were used to measure AGP concentration by radial

immunodiffusion assay. Five microliter test sample was applied to individual wells in

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plate. Chicken AGP standards were also applied to each plate and the plate placed in a

humidified chamber at 370 C to incubate for 48 h. After incubation, outer diameter of

each precipitin ring was measured and AGP concentration was calculated using the

standard curve.

Statistical Analysis

Data collected were subjected to analysis of variance (ANOVA) using the general

linear model procedure (GLM) of SAS (Version 9.1, SAS, Cary, NC). Response

variables were analyzed using the CRD linear model, Yij = μ + αi + eij, where Y ij =

variable measured; μ= overall mean; αi = the effect of ith level of dietary treatment; eij =

random error for Jth pen receiving ith level of dietary treatment. Hartley's Fmax test was

used to examine homogeneity of variance assumption. The difference between LPS

challenge and control for each pen constituted the response variable in the case of organ

weights, serum and gut immunoglobulins, and α1-acid glycoprotein.

Orthogonal polynomial contrasts were used to examine relationships between

response variables and dietary levels of Noni. Hypothesis tests for linear and quadratic

responses were examined using α = 0.05.

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24

Results

Results showed that performance in terms of body weight, feed conversion ratio

and livability, and organ weights were not affected by Noni (P>0.05; all contrasts) (Table

3.1). Dietary Noni did not affect serum IgG, IgM and IgA, and gut IgA concentrations

after 6 h or 24 h post LPS challenge (P>0.05; all contrasts) (Table 3.2 and 3.3). A

statistically significant departure from linearity was detected in serum IgM 24 hours post

LPS challenge (P< 0.05) (Table 3.3). Serum IgA 24 h post LPS challenge exhibited a

trend in deviation from linearity (P = 0.07) (Table 3.3). Linear or non-linear (quadratic)

relationship was insignificant between other response variables and levels of Noni at 6 h

or 24 h (P>0.05) (Table 3.1, 3.2 and 3.3)

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Table 3.1 Performance and relative organ weights of broiler chicks fed dietary Noni from day-old to 3 weeks of age

Liver2

(g/g) Spleen2

(mg/g) Bursa2 (mg/g) Diet1

(%Noni)

Body weight

(g)

Feed conversion

(g/g) 6 h 24 h 6 h 24 h 6 h 24 h 0 8053 1.28 0.11 0.26 0.026 0.020 -0.068 0.010 1 811 1.26 0.19 0.27 0.002 0.032 -0.049 -0.045 2 794 1.29 0.01 0.23 0.182 0.002 -0.022 -0.014

± SEM 9.1 0.010 0.10 0.24 0.009 0.015 0.043 0.033 Linear 0.52 0.94 0.60 0.89 0.75 0.35 0.33 0.46

Quadratic 0.36 0.38 0.96 0.35 0.06 0.89 0.90 0.64

25

1 Noni animal feed supplement (Morinda®) added to the diet (w/w). Survival was 100% for all diets 2 The relative organ weights are expressed as the mean difference between birds challenged with lipopolysaccharide (2 mg/ kg body weight, i.p.) and controls that received saline measured at 6 and 24 hours post challenge.

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Table 3.2 Immune responses of broiler chickens fed dietary Noni from day-old to 3 weeks of age 6 h post LPS challenge.

Serum Immunoglobulin2 (mg/ml)

Diet1

(%Noni) Serum α- acid Glycoprotein2

(µg/ml) IgM IgG IgA

Intestinal IgA2 (ng/mg protein)

0 793 0.14 0.45 0.03 -510 1 66 0.16 0.60 -0.28 -636 2 20 -0.01 0.62 -0.11 262

± SEM 31.8 0.24 0.26 0.15 546 P value

Linear 0.15 0.28 0.40 0.49 0.57 Quadratic 0.23 0.12 0.26 0.73 0.33

1 Noni animal feed supplement (Morinda®) added to the diet (w/w). 2 The response variables are expressed as the mean difference between birds challenged with lipopolysaccharide (LPS, 2 mg/ kg body weight, i.p.) and controls that received saline measured at 6 hours post challenge.

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Table 3.3 Immune responses of broiler chickens fed dietary Noni from day-old to 3 weeks of age 24 h post LPS challenge.

Serum Immunoglobulin2 (mg/ml)

Diet1

(%Noni) Serum α- acid Glycoprotein2

(µg/ml) IgM IgG IgA

Intestinal IgA2 (ng/mg protein)

0 2183 0.30 -1.88 0.01 -379 1 311 0.13 -0.19 -0.18 147 2 347 0.40 0.58 -0.22 31

± SEM 126 0.18 1.17 0.12 189 P value

Linear 0.44 0.28 0.19 0.12 0.60 Quadratic 0.82 0.05 0.97 0.07 0.94

1 Noni animal feed supplement (Morinda®) added to the diet (w/w). 2 The response variables are expressed as the mean difference between birds challenged with lipopolysaccharide (LPS, 2 mg/ kg body weight, i.p.) and controls that received saline measured at 24 hours post challenge.

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Discussion

In the present study, concentration of dietary Noni at 1% and 2% did not

influence performance and immune responses in broiler chickens. The only significant

response was a departure from linearity in serum IgM 24 hours post LPS challenge and a

trend in deviation from linearity for serum IgA 24 hours post LPS challenge. The former

is due to the lack of response to LPS challenge in birds fed 1% Noni and the latter due to

non-responsiveness to LPS challenge in birds fed 1 or 2% Noni.

Many factors can influence the determination of humoral immune response

against LPS in chickens fed dietary Noni. Genetic differences in breeds (Van der Zijpp et

al., 1983; Kundu et al., 1999) and lines (Kundu et al., 1999; Hangalapura et al., 2003;

Parmentier et. al., 2004) of meat and layer chickens are associated with differences in

natural or specific antibody (NAb) response. This finding is strengthened by the fact that

at the molecular level, the distribution of Toll-like receptor-4 (TLR-4) is dependent on

the genetic make-up of the birds (Dil et al., 2002). However, it is assumed that broilers

are genetically similar due to selective line breeding, though, the production of NAb

against different or same antigens is affected by linkage between the genes or by genetic-

environmental interaction, for example, different quantitative trait loci are associated with

natural antibody responses against LPS in chicken (Siwek et al., 2006). Along with

genetics, significant individual variation within treatment groups for gut IgA immune

response may be ascribed to variability in the location of IgA producing B-cell rich

Peyer’s patches within the chicken intestine. The sampling procedure may result in

samples with little or no Peyer’s patches.

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The present experiment was designed to examine the effect of dietary Noni at 3

weeks of age in chickens as GALT (Gut Associated Lymphoid Tissue) is fully functional

two weeks post-hatching in broilers (Shira-Bar et al., 2003). Further, Lactobacillus

species in broiler chickens are present predominantly in the small intestines at two weeks

of age while some obligatory anaerobes become prominent in the ceca at 25 days of age

(Romach et al., 2004). However, the number of CD3+ T cells continue to increase to 4-6

weeks of age (Lillehoj et al., 1992) and the level of NAb in serum increases from 5 to 18

weeks of age in layers (Siwek et al., 2006). These factors may contribute to both

individual variation and response of variables measured.

Levels of maternal antibodies transferred to the chicks are directly related to the

dam’s circulating concentration of antibodies (Hamal et al., 1996), which may differ

among dams due to differences in genetic make-up; also, carry-over antibodies may

persist up to 25-27 days in chicks and contribute to individual variation in antibody titer

(Mahmud et al., 2007). Hence, serum IgG response in the study may have been affected

by maternal antibodies. In addition to these factors, the limits of detection of the ELISA

assay may also be a factor that contributes to failure to detect the effect of Noni on NAb

as the detection limit of ELISA essay for IgA, IgG and IgM immunoglobulins were

15.625, 3.12, and 3.9 ng/ml, respectively.

To date, the exact function of non-specific NAb in not clear, and it seems that it is

less important in domesticated species of birds. Natural immunity was found to be lower

in commercial layers as compared to their wild ancestor, Red Jungle Fowl (Mekchey et

al., 1999). Hence, in addition to a follow-up study to examine gene expression, the effect

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of dietary Noni on vaccine-induced specific immunity against a commercially important

specific viral or bacterial disease is warranted.

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CHAPTER IV

EFFECTS OF DIETARY NONI SUPPLEMENTATION ON GENE EXPRESSION AND IMMUNOGLOBULINS IN BROILERS

Materials and Methods

Experimental Design and Dietary Treatments

Day-old commercial broiler chicks were distributed at random in wire-floor pens.

A pen of six birds was the experimental unit. A practical diet was supplemented with 0, 4

and 6% (w/w) concentrations of Noni crude fruit preparation (whole Noni fruit puree, Lot

# 051-011-16, Morinda Agriculture Products Inc., Utah) and fed for 42 days. Treatments

were assigned at random to 3 pens to provide 6 replications per treatment (n=6). At day

42, birds from each pen were sampled for blood and tissue collection. To avoid the loss

of phytochemicals, the Noni puree was stored at -4 0C and mixed in the diet on alternate

days during the experiment.

Sample Collection

To assess gene expression of cytokines, chemokine and Toll-like receptors, cecal

tonsils were collected from both sides of the ileocecal junction (Appendix B). Blood

samples were collected from cutanea ulnaris of the birds. Serum was separated from

sampled blood by centrifugation at 500 X g for 30 minutes and stored at -4 0C till further

analysis. For determination of gut IgA, a 6-cm portion of intact distal ileum (with

contents) (approximately 5 cm cranial from the iliocecal junction) was sampled, placed in

liquid nitrogen during collection and then stored at -800 C until further analysis. The

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mucosal scraping along with gut content of the intestine was used to determine the

concentration of immunoglobulins.

Serum and Gut Immunoglobulins Analysis

Serum IgM and IgG, and gut (mucosal and luminal) IgA antibodies were

estimated by using ELISA assay kit (L30-102,-103,-104, Bethyl Laboratory,

Montgomery, TX). Intestinal IgA was extracted from gut content and mucosal scrapping

as described by Haghighi et al. (2005) (Appendix A). The absorbance results were

expressed in terms of total soluble protein measured by bicinchoninic acid (BCA) method

(232-23,-24, Thermo Scientific, Rockford, IL).

RNA Isolation, Quantification and Real-Time PCR

Total RNA was isolated from the right cecal tonsil of each sample using RNeasy

protect mini kit (74124, Qiagen Inc., Valencia, CA) as described in Appendix C. RNA

was quantified at 260 nm wavelength (Eppendorf, Hamburg, Germany) and samples with

mRNA purity of about 1.8 (ratio E260/E280) or above 1.8 (ratio E260/E280) were used.

Contaminating DNA was digested using the RNase free DNase set (79245, Qiagen Inc.,

Valencia, CA) during RNA extraction and resulting RNA eluted in 50 µl RNase-free

water per 30 mg tissue and stored at -80 O C. Real-Time PCR (QPCR) was done using the

QuantiTechTM SYBR Green one step RT-PCR Kit (204243, Qiagen Inc., Valencia, CA)

and a BIO-RAD thermocycler (Model IQ5), as described in Appendix D. QuantiTect

SYBR Green RT-PCR master mix containing reverse transcriptase together with the

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QuantiTect RT Mix containing DNA polymerase allow both reverse transcription and

amplification of transcript in a single tube. No-RNA template control and melting curve

of gene specific PCR product were analyzed to cross check the primer dimer formation.

No-RT control reaction was used to ensure the amplification of gene specific PCR

product. The gene specific primers used for PCR are listed in appendix F.

Semi-Quantitative RT-PCR and Gel Electrophoresis

RT-PCR was done using ProtoScript M-MuLV Taq RT-PCR kit (E6400S, New

England Biolab, Ipswich, MA) and BIO-RAD thermocycler (Model MJ mini, according

to Appendix E). Two and one half microgram of total RNA was used for reverse

transcription reaction, using 10 units of Moloney murine leukemia virus reverse

transcriptase (RT), 2 µl of RT buffer, 2 µl of 50 µM oligo dT primer, 20 units of murine

RNase inhibitor, 500 µM of dNTP in a reaction mix of 20 μl RNase free water. Reverse

transcription was performed to convert mRNA to cDNA at 42 oC for 60 minutes and 80

oC for 5 minutes.

PCR reaction were performed in a volume of 50 µl containing 2.5-5 µl of cDNA

from the reverse transcriptase reaction, 200 nanomoles of each primer, 10 mM Tris-HCl

(pH 8.6), 50 mM KCl, 1.5 mM MgCl2 , 200 µM dNTP, 0.05 % Tween-20, 5% glycerol

and 1.25 units of Taq DNA polymerase. Before the start of the first cycle, all PCR were

preceded by a denaturation step of 1 minute at 94 oC and the last cycle step was followed

by a final elongation step of 10 minutes at 68 oC. Thirty five cycles were used for IL-8

and TLR-7 assays and 40 cycles were applied for IL-12 assay. The number of cycles was

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optimized to prevent the amount of PCR product from exceeding the upward slope of a

typical cycle number-PCR product. The gene specific primers used for PCR reactions

were similar to Real-Time PCR primers. Each PCR cycle contained denaturation at 94 oC

for 30 seconds, annealing at 57 oC for 30 seconds and elongation at 68 oC for 60 seconds.

Gene specific PCR products was separated in 1.5% agarose gels (32803, USB, Cleveland,

OH) using 0.02% ethidium bromide for visualization. Band intensity was examined in

ultraviolet light using an illuminometer and quantified using Image J software

(www.rsb.info.nih.gov).

Real-Time Data Analysis

The data obtained from the QPCR, was analyzed using cycle number (Ct values).

The cycle number at which the fluorescence crosses an arbitrary line called the threshold

(i.e. when the fluorescence signal becomes detectable) is known as Ct value. Following

treatment with 4% or 6% dietary Noni supplement, relative fold change of mRNA for the

gene of interest was determined as described by Pfaffl (2001), using equation 1. The

initial RNA concentration was same for all samples and adjusted by diluting in RNase

free water before performing Real-Time PCR.

(1 + E Target) ΔC

t, Target

Fold expression = (1)

(1 + E GAPDH, Control) ΔC

t, GAPDH

where,

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Δ Ct, Target = (Ct, Target, Control - Ct, Target, Noni treatment)

and Δ Ct, GAPDH = ( Ct,GAPDH, Control - Ct, GAPDH, Noni treatment)

PCR efficiency of the target and reference gene was calculated by plotting the log of the

RNA template dilution versus Ct value using the following equation:

E =10- (1/s) – 1 (2)

where s represents the slope of the line plotted for log of the template dilution versus log

of Ct value. Standard curves were generated using 5 fold serial dilution of total cellular

RNA from broiler chickens. Total cellular RNA used ranged from 200 ng to 12.5 ng. The

efficiency of standard curves were listed in Table 4.1

Table 4.1: Description of standard curves used in data analysis.

Gene of Interest Efficiency R2 GAPDH 0.93 0.99

IL-1β 1.10 0.99 IL-6 1.08 0.99 IL-8 0.90 0.98 IL-12 1.23 0.94 TLR-3 0.94 0.98 TLR-4 1.24 0.99 TLR-5 1.69 0.90 TLR-7 1.12 0.93

Statistical Analysis

ANOVA was performed using the general linear model (GLM) procedure of JMP

statistical software (SAS Institute Inc., Cary, NC, USA), and hypothesis testing was

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conducted using α = 0.05. Response variables were analyzed using the following linear

model:

Yij = μ + αi + eij, where Y ij = variable measured; μ= overall mean; αi = the effect of ith

level of dietary treatment; eij= random error associated with experimental unit.

Normalized values of response variables were taken for statistical analysis.

Normalization was done by dividing the Ct value of gene of interest to that of Ct value of

internal control (GAPDH) of the sample.

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Results

The objective of this experiment was to investigate the effects of dietary Noni

crude fruit extract on target gene expression in broiler chickens. Genes included

cytokines, chemokine, and Toll-like receptors in cecal tonsil, and immunoglobulin

concentrations. Gel electrophoresis of PCR product showed the modulatory effects of

Noni on IL-8, IL-12 and TLR-7 gene expression (Figures 4.1). Further analysis by Real -

time PCR reveled that 4% Noni treatment increased (1.9 fold) TLR-3 gene expression.

However did not show any effect on the expression of other genes (Figure 4.2). Noni at

6% inclusion increased the expression of IL-8 (3 fold), IL-12 (4 fold) and TLR-4 (2.6

fold), and decreased gene expression of IL-6 (0.6 fold) and TLR-7 (0.3 fold) (Figure 4.3).

TLR-5 gene expression was increased 1.7 and 2.3 fold by 4% and 6% Noni, respectively

(Figures 4.2 and 4.3). Neither concentrations of Noni affected IL-1 gene expression

(Figures 4.2 and 4.3). The values of coefficient of determination (R2) of standard curve

for TLR-7, TLR-5 and IL-12 genes were 0.93, 0.90 and 0.94, respectively (Table 4.1)

which were less as than R2 values obtained for other measured genes (0.98-0.99) (Table

4.1). Dietary Noni supplementation did not have significant effects on the concentration

of serum IgM and IgG or intestinal IgA (Table 4.2)

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Table 4.2 Immune responses of broiler chickens fed dietary Noni from day-old to 6 weeks of age

Serum Immunoglobulin2 (mg/ml)

Gut Immunoglobulin2 (% Total protein)

Diet1

(%Noni) IgM IgG IgA

0 0.30 1.32 ± 0.25 2.89 4 0.25 1.47 1.91 6 0.36 1.42 2.52

± SEM 0.05 0.22 0.60

1 Noni animal feed supplement provided by Morinda®, was supplemented to the diet as w/w basis and fed from day-old to 6 weeks of age. 2 Each pooled mean based on 5 samples except serum IgG in control group where pooled mean is based on 6 samples.

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6% Noni Control

(A)

0

20

40

60

80

100

120

140

160

180

IL-12 IL-8 TLR-7

Gen

e ex

pre

ssio

n (%

of G

APDH)

Control

6% Noni

(B) Figure 4.1 Effect of 6% dietary Noni supplement on gene expression in caecal tonsil of

broilers fed to 6 weeks of age starting from day-old chicks using semi quantitative RT-

PCR. Gel electrophoresis was performed (Panel A). The band densities of gene specific

PCR products were quantified using Image J software (http://rsb.info.nih.gov/ij/) and

expressed as a percentage of their respective internal control GAPDH (Panel B).

39

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0

50

100

150

200

Control IL-1 IL-6 IL-8 IL-12 TLR-3 TLR-4 TLR-5 TLR-7

Rel

ativ

e fo

ld c

han

ge

0.25 0.67

0.060.41

0.32

0.1 0.35

0.51

Figure 4.2 Effect of 4% dietary Noni supplement on gene expression in caecal tonsil of

broilers fed to 6 weeks of age using Real-Time PCR.

P values are presented above the bar and P< 0.05 indicates the significant difference

from the control group. Data are presented as mean of 5 samples (n=5)

Gene expression of treatment group is expressed relative to control group according to

Pfaffl (2001) method.

40

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0

50

100

150

200

250

300

350

400

450

Control IL-1 IL-6 IL-8 IL-12 TLR-3 TLR-4 TLR-5 TLR-7

Rel

ativ

e fo

ld c

han

ge

0.008

0.02 0.23 0.74

0.01

0.84

0.01 0.003

Figure 4.3 Effect of 6% dietary Noni supplement on gene expression in caecal tonsil of

broilers fed to 6 weeks of age using Real-Time PCR.

P values are presented above the bar and P< 0.05 indicates the significant difference

from the control group. Data are presented as mean of 5 samples (n=5)

Gene expression of treatment group is expressed relative to control group according to

Pfaffl (2001) method.

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Discussion

The observed increased TLR-3, TLR-4, IL-8 and IL-12 gene expression and

decreased IL-6 and TLR-7 gene expression in gut associated caecal tonsil in chickens fed

dietary Noni indicated that Noni crude fruit extracts have immunomodulatory properties.

The immunomodulatory property of Noni fruit is supported by some in vitro studies

(Hirazumi et al., 1996, 1999; Furusawa et al., 2003; Li et al., 2008; Zhang et al., 2009;

Brooks et al., 2009). For example, Noni fruit polysaccharides increased IL-1 and TNF-α

secretion from human peripheral mononuclear cells in a dose dependent manner

and fermented Noni juice pretreated dendritic cells increased immunoglobulin secretion

from B cells ((Hirazumi et al., 1996, Zhang et al., 2009)

Noni fruit is rich in phytochemicals and polysaccharides (Cimanga et al., 1995,

Sang et al., 2003; Kamiya et al., 2004; Pawlus et al., 2005; Lin et al., 2007; Akisha et al.,

2007). Polysaccharides from Noni fruit have been reported to have immunomodulatory

properties in vitro (Hirazumi et al., 1996, 1999; Furusawa et al., 2003). Also, some

phytochemicals present in Noni fruit were shown to have immunomodulatory activity by

modulating NF-kB signal transduction pathway in a dose dependent manner (Desai et al.,

2009; Murakami et al., 2007).

In the present study, 4% dietary Noni supplement only increased the expression of

TLR-3. This response may be due to the effects of phytochemicals on the TLR-3 signal

transduction pathway, which uses interferon regulatory factor-3 (IRF-3) transcription

factor to express antiviral products, in contrast to other TLRs that signal via the NF-kB

transcription factor (Akira et al., 2004). This is supported by the fact that some

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phytochemicals like quercetin which is present in the Noni fruit, stimulate the production

of interferon-γ (IFN-γ) an antiviral product (Park et al., 2009). IFN-γ then acts in an

autocrine manner and provides positive feedback for expression of TLR-3 via the JAK

STAT pathway (Tanabe et al., 2003; Tohyama et al., 2005). However, at higher

concentrations of phytochemicals, these might inhibit the expression of TLR-3 due to

excessive production of IFN-γ which provides a negative feedback for TLR-3 gene

expression (Dai et al., 2006). IFN-γ inhibition is due to production of SOCS (suppressors

of cytokine signaling) which inhibits the signaling of IFN-γ via the JAK STAT pathway.

The flavonoid, luteolin, also present in Noni fruit, suppresses the expression of interferon

regulatory factor-3 at least at higher concentrations (50 µM). This might be another

mechanism by which Noni suppresses gene expression of TLR-3 (Lee et al., 2009). In

the present study, the increased TLR-3 gene expression did not show any effect on

measured cytokines and chemokine gene expression. This lack of response may be

explained by the fact that neither TLR-4 nor TLR-5 were increased, and the increased

then TLRs modulate the expression of cytokines (Schaefer et al., 2004)

Noni at 6% increased 2.6 and 2.3 fold gene expression of Toll-like receptor-4 and

-5, respectively but decreased the TLR-7 gene expression (Figure 4.4). These TLRs all

share the common NF-kB pathways for gene expression. The increased expression of IL-

8 and IL-12 suggest that Noni polysaccharides bind to the TLR-4 at cell surface, since

plant polysaccharides cannot enter cells. Also, Han et al. (2002, 2003) shown that

polysaccharides bind with TLR-2 and -4 on the surface of immune cells and stimulate

production of various cytokines and chemokines by the NF-kB pathway. This is further

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supported by the findings that several polysaccharides isolated from plants have been

shown to have immunostimulatory activities (Kim et al., 1996; Han et al., 1998). The

activation of TLR-4 leads to its increased expression by both transcriptional and

posttranslational mechanisms (Muzio et al., 2000; Yan et al., 2006). Stimulation of TLR-

4 gene expression enhances expression of various proinflammatory cytokines and

chemokine, including IL-12 and IL-8 in human mast cells and in broilers heterophils

(Ferdous et al., 2008; Kirshenbaum et al., 2008). The results of this study agree with

those findings. Our observed increased TLR-5 gene expression might be possibly due to

the enhanced levels of cytokines.

Reduced IL-6 gene expression might be one contributing factor for reduced TLR-

7 gene expression, since previous research has shown that IL-6 cytokine selectively

increased the TLR-7 gene expression in humans (Zarember et al., 2002). Decreased IL-6

expression might be associated with unaltered IL-1 gene expression, as IL-6 gene

expression is mainly induced by IL-1 and TNF-α (Benveniste et al., 1990; Miyazawa et

al., 1998). Interestingly, both IL-1 and TNF-α were decreased in a graded manner when

dietary Noni treatment increased from 4 to 6%. Also, the location of TLR-7 on internal

cellular endosomes might limit its stimulation by Noni polysaccharides, as they can not

enter through the cell. In contrast, a number of phytochemicals that are present in Noni

can easily enter the cell. These might inhibit the basal expression level of TLR-7 and IL-

6. At the molecular level, the basal expression of TLR-7 and IL-6 is negatively regulated

by SOCS, phosphatases, and some other inhibitory enzymes, any of which might be

stimulated by Noni phytochemicals. Interestingly, in contrast to mammals, TLR-7 in

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chicken is not able to induce type I interferon in chicken and seems less important in viral

infection (Philbin et al., 2005).

In conclusion, the selectively increased TLR-3, TLR-4 and TLR-5 indicate that

Noni fruit induces antiviral and antibacterial responses in chickens which is further

strengthened by increased expression of IL-12 and IL-8 (Philbin et al., 2005). At the

same time, decreased expression of TLR-7 and IL-6 indicated anti-inflammatory

properties of Noni. Further investigations will be necessary to explore the active

immunomodulatory ingredients of Noni and its effects during viral and bacterial

infections.

Noni at 4% and 6% could increase the concentration of serum IgG and IgM

immunoglobulins. However, our lack of observing a significant effect might be due to the

contribution of natural antibodies (NAb) on the total measured IgG or IgM. The NAb

level against different or same antigens is affected by the linkage between the gene-

environment interactions, and different genetic origins of breeds, strains, and lines of

chickens (Van der Zijpp et. al., 1983; Kundu et al., 1999; Parmentier et al., 2004,

Hangalapura et al., 2003, Siwek et al., 2006). However it is assumed that broilers are

genetically similar due to selective line breeding but polygenic inheritance may be

associated to natural antibody response against antigen in chicken (Siwek et al., 2006)

and thus the interaction between more than two genes lead to the differences in natural

antibody concentration among broilers.

Further investigation is necessary to examine the effect of Noni using genetically

uniform lines, or strains with reduced genetic variation with increased number of sample

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size in order to extend the observation of apparent antiviral/antibacterial properties by

Noni after vaccination.

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APPENDICES  

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Appendix A

Extraction of IgA Antibody from Chicken Gut Tissue Materials required:

1. Phosphate buffer saline tablet (Sigma-Aldrich, P4417) 0.01 M phosphate buffer, pH 7.4. 2. Trypsin inhibitor (Sigma-Aldrich, T-9003) @100 µg/ml in PBS. 3. Glass beads of 1 mm diameter (Biospec Product Inc. 11079110). 4. Centrifuge (Beckman- Coulter Microcentifuge 22R).

Procedure:

1. Dissolve one tablet of phosphate buffered saline in 200 ml of distilled water to obtain 0.01 M phosphate buffer saline. Trypsin inhibitor is added to PBS @ 100 µg/ml.

2. Weigh whole frozen intestinal tissue and its content as quick as possible to avoid

thawing.

3. Put Intestine tissue along with its content into 1.5 ml plastic vial. Add 1 ml of trypsin inhibited phosphate buffer saline into the vial and bring to final volume with glass beads. Tightly cap the vial and make sure there are no bubbles present.

4. Homogenize the tissues in bead beater at 4800 rpm for 3 minutes. The

homogenate gets warm after 3 minutes. To minimize heating during the extraction treatment prechill beads and buffer and stop for 60 seconds after each 60 seconds blending. Immediately place homogenates on ice.

5. Decant homogenate or remove by pipetting after the beads settle to the bottom

and transfer into the 1.5 ml high “g”micro centrifuge tubes. 6. Centrifuge homogenate at 14000 X g for 10 minutes at 4 0C.

7. Remove the supernatant from the pellet and discard the pellet. 8. Store the supernatant at -80 0C until further analysis.

Source: Haghighi, H. R., Gong, J., Gyles, C.L., Hayes, M.A., Sanei, B., Parvizi, P., Haris, G., J.R. Chamber and S. Sharif (2005). Modulation of antibody- mediated immune response by probiotics in chickens. Clinical and Diagnostic Laboratory Immunology 12: 1387-1392   

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Appendix B

Collection of Tissue for RNA Extraction

Introduction: RNases are present in cells and even the surrounding environment. They do not require a cofactor to cleave the RNA in a non-specific or specific manner. However, tissue RNA can be degraded by other non-specific mechanism, if samples are not stored properly. To prevent degradation of RNA, samples must be preserved either by storage at very low temperature (-800 C), in stabilizing reagents (RNAlater, Qiagen Inc.), or using a combination of both. Materials required

1. Sterilized 5 ml RNA free collection vials 2. Sterilized scissors 3. Sterilized forceps 4. Concentrated EtOH (95%) 5. Test tube stand 6. Permanent markers 7. RNAlater RNA stabilization reagent 8. Insulator box with ice 9. Gloves 10. Sterilized syringe/droppers 11. Sterilized normal saline solution 12. Beaker 500 ml capacity (autoclaved and treated with 0.1% diethylpyrocarbonate

water) 13. Analytical balance

Things to be considered before collection of tissue

RNAlater RNA stabilization reagent may form a precipitate during storage below room temperature (15-250 C). Before using the RNAlater RNA stabilization reagent, redissolve the precipitate by heating to 370 C with agitation.

Only fresh unfrozen tissue can be stabilized using RNAlater RNA stabilization reagent.

Amount of reagent needed per sample: Around 180-250 mg samples need approximately 2.5 ml of RNAlater RNA stabilization reagent.

Storage container should be wide enough so that the reagent covers the entire tissue.

The procedures for tissue harvesting and RNA stabilization should be carried out as quickly as possible.

Sample must be cut into slices less than 0.5 cm thick and immediately put in to the stabilization reagent (If the slices are thicker than 0.5 cm the reagent will

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diffuse too slowly into the interior of the sample and RNA degradation will occur).

Protocol for collection of tissue:

1. Sterilize work area and instruments with 70% EtOH. 2. Treat glass vials with 0.1% DEPC to eliminate RNAase. Pipette 10 x (estimated

tissue mass) RNAlater RNA stabilization reagent into each vial and cap the vials. 3. Collect tissue, take a suitable mass of sample, chop and place in vial with

stabilization reagent. Make sure the level of stabilization reagent is well above the tissue.

4. Place vials overnight at 2-80 C, then store at -200 C. Precaution:

1. Preparation of normal saline (0.89% W/V) in sterile water (water must be autoclaved and 0.1% diethylpyrocarbonate treated).

2. Collection vials should be RNase free. Use glass vials and make them RNase free by 0.1% diethylpyrocarbonate treatment.

3. If transporting tissue samples in RNAlater reagent, ensure that the tissue always remains submerged in the reagent. Either keep the tubes upright during transport or fill the tubes completely with RNAlater reagent.

4. Stored tissue can be thawed at room temperature and frozen again for up to 20 freeze-thaw cycles without affecting RNA quality or yield.

Source: QIAGEN RNeasy® Mini Handbook, 4th edition (2006).

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Appendix C

Extraction of Total RNA Introduction: Biological samples are first lysed and homogenized in the presence of a highly denaturing guanidine-thiocyanate-containing buffer, which immediately inactivates RNases to ensure purification of intact RNA. Ethanol is added to provide appropriate binding conditions, and the sample is then applied to an RNeasy mini spin column. The total RNA binds to the membrane and contaminants are efficiently washed away. High- quality RNA is then eluted in 50 μl water. Materials required: Qiagen RNeasy® protect mini kit with required buffers (RLT, RPE, RW1 and RDD) 2 ml RNase free polypropylene tubes Disposable blades Pestle and mortar Micropipettes / RNase free tips Liquid nitrogen Ethanol (96-100% and 70%) Centrifuge QIAshredder columns RNase-free DNase set Glass vials Thermocol box with ice (for maintain the temperature during the DNase preparation) Things to do before starting experiment:

Buffer RLT is prepared by adding 10 microliters of mercaptoethanol per 1 ml of RLT. It can be stored at room temperature for up to 1 month.

Before using for the first time, add 4 volumes of ethanol (96-100%) in concentrated buffer RPE as indicated to obtain a working solution.

70% ethanol is prepared using RNase free water. DNase digest buffer is prepared by adding lyophilized DNase in buffer RDD.

Protocol:

1. Remove RNAlater stabilized tissue from the reagent using forceps and remove any crystals that may have formed.

2. Weigh the piece to be used (20 mg) directly into microcentrifuge tube. If

necessary, cut tissue on a clean sterile surface with a sterile scalpel.

3. Immediately place the weighed tissue in liquid nitrogen and grind thoroughly with a mortar and pestle. Decant tissue powder and liquid nitrogen into an RNase-free,

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liquid nitrogen-cooled, 2 ml microcentrifuge tube. Allow the liquid nitrogen to evaporate, but do not allow the tissue to thaw.

4. Add 600 µl buffer RLT, vortex it and pipette the lysate directly into a

QIAshredder spin column placed in a 2 ml collection tube, and centrifuge for 2 minutes at full speed at room temperature.

5. Discard the QIA shredder column. 6. Centrifuge the lysate for 3 minutes at full speed. Carefully remove the supernatant

by pipetting and transfer it to a new microcentrifuge tube. Use only this supernatant (lysate) in subsequent steps.

7. Add 1 volume of 70% ethanol to the cleared lysate and mix immediately by

pipetting. Do not centrifuge. Immediately proceed to step 8 (precipitate may be visible after addition of ethanol. This does not affect the procedure)

8. Transfer up to 700 μl of the sample, including any precipitate that may have

formed, to an RNeasy spin column placed in a 2 ml collection tube (supplied by Qiagen). Centrifuge for 15 s at 10,000 rpm. Discard the flow through. If the sample volume exceeds 700 μl, centrifuge successive aliquots in the same RNeasy spin column. Discard the flow-through after each centrifugation.

9. Add 350 μl of buffer RW1 to the RNeasy spin column and centrifuge for 15 s at

10,000 rpm to wash the spin column membrane. Discard the flow through. Retain the collection tube for reuse in step 11.

10. Add 80 μl DNase I directly to the RNeasy spin column membrane, and place on

the bench top (for 15 minutes). Be sure to add the DNase I incubation mix directly to the RNeasy spin column membrane. DNase digestion will be incomplete if part of the mix sticks to the wall or the O-ring of the spin column.

11. Add 350 μl Buffer RW1 to the RNeasy spin column and centrifuge for 15 s at

more than or equal to 10,000 rpm. Discard the flow-through. Transfer RNeasy column to a new 2 ml collection tube.

12. Add 500 µl of buffer RPE to the RNeasy spin column and centrifuge for 15 s at

10,000 rpm to wash the spin column membrane. Discard the flow through.

13. Add another 500 μl of buffer RPE to the RNeasy spin column and centrifuge for 2 minutes at 10,000 rpm to wash the spin column membrane.

14. Place column in a new 2 ml collection tube and discard the flow through after

centrifugation for 1 minute.

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15. Transfer column to a new 1.5 ml collection tube (supplied in kit). Add 50 μl of

RNase free water directly onto the column and keep it for 1 minute at room temperature. Close tube and centrifuge at 10,000 rpm for 1 minute to elute.

Source: QIAGEN RNeasy® Mini Handbook, 4th edition (2006).

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Appendix D

Conversion of mRNA to cDNA and Amplification of cDNA Introduction: Use of the QuantiTect SYBR Green RT-PCR master mix containing reverse transcriptase together with the QuantiTect RT Mix containing DNA polymerase allow both reverse transcription and amplification of transcript in a single tube. Material required: QuantiTect SYBR Green RT-PCR Kit Primers 96 well plates for the reactions Plate covers Ice box with ice RNase free water Pipettes: 2 µl, 20 μl, 200 µl and 1000 μl RNase free tips for measurements Real time cycler Extracted RNA RNase free water Gloves Sterile 1.5 ml of centrifuge tubes Things to do before starting:

Adjust the RNA concentration in RNase free water in such a manner that all RNA concentration must be equal to 10 ng per 10 µl of volume.

Calculate the amount of master mix needed for the reactions according to Table 1. Multiply the individual volumes with number of samples.

Make the PCR plate template and set temperature and time program in the computer software attached with thermocycler day before planning to run samples. Check the direction of putting PCR plate in the Real time cycler.

Thawing should be performed at ice temperature. Dilute the final concentration of primer to 0.5 μM in RNase free water.

Protocol: 1. Thaw 2x QuantiTect SYBR Green RT-PCR Master Mix (if stored at -200 C), template RNA, primers, and RNase- free water at ice. Mix the individual solutions, and place them on ice. The QuantiTect RT Mix should be taken from -200 C immediately before use, always kept on ice, and returned to storage at -200 C immediately after use.

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Table 1: Different volumes of 25 μl reaction mixture. Component Volume/reaction Concentration 2x QuantiTect SYBR Green RT-PCR Master Mix

12.5 μl

Primer forward 0.5 μl 0.5 μM Primer backward 0.5 μl 0.5 μM QuantiTect RT Mix 0.25 μl 0.25 μl / reaction RNase- free water 1.25 Template RNA ( added at step 5)

10 μl 1ng/ μl

Total volume 25 μl 2. Vortex the Primers and master mix, and mix the RT solution by gentle tapping. Do not centrifuge any of them. 3. Each mixed component is then dispensed in 96 well PCR plate as following order and final volume adjusted to 25 µl with RNase free water: A. RNase free water B. master mix C. RT (reverse transcriptase) 4. Add template RNA to the individual PCR wells containing reaction mixture . This may be done prior to step 3. 5. Seal the plate with sealer 6. Program the Real time cycler according to the program outlined : One cycle of

50 0C for 30 minutes (Reverse transcription) 950 C for 15 minutes (DNA polymerase is activated, reverse transcriptases are

deactivated and template cDNA is denatured) Followed by 40 cycles of

940 C for 15 seconds (Denaturation) 570 C for 20 seconds (anneling) 720 C for 20 seconds (extension)

7. Data acquisition should be performed during the extension step. 8. Keep samples on ice until the Real time cycler is programmed. Place the PCR tubes or plates in the thermal cycler and start the cycling program.

Source: Qiagen kit manual for quantitative, real time, one step RT-PCR, November, 2000

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Appendix E

Conversion of mRNA to cDNA and Amplification of cDNA for Gel Electrophoresis

Introduction: Reverse transcriptase is used to convert the mRNA to cDNA using oligo dT primers. The resulting cDNA are amplified using specific primers for the specific gene expression in separate tube. Material required: Protoscript ® II RT-PCR Kit Primers Polyacrylamide gel 1.5% Camera Illuminometer PCR tubes 100 bp Ladder Aluminium foil Ice box RNase free water (DEPC treated water) Dye (Ethidium bromide) 6X loading dye Thermocycler First Strand cDNA Synthesis: Proper precautions should be used to avoid ribonuclease contamination. This includes the use of autoclaved tubes, baked glassware, ultra-pure solutions, sterile pipette tips and latex gloves during manipulations 1. Thaw system components and place on ice. The 10X RT Buffer can be warmed briefly at 42°C and vortexed to dissolve any precipitate. (Note: It is important to set up a -RT control reaction (no reverse transcriptase) to insure there is no DNA contamination). 2. Make the RNA/primer/dNTP mix by combining the following components in a PCR tube: Total RNA : 1–10 μl (2 μg) Primer dT23VN : 2 μl dNTP Mix : 4 μl Nuclease-free water : variable Total volume : 16 μl 3. Heat for 5 minutes at 70°C. Spin briefly and promptly chill on ice. 4. Add the following components to the 16 μl RNA/primer/dNTP solution and mix well

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by pipetting up and down: - RT control 10X RT Buffer 2 μl 2 μl RNase Inhibitor 0.5 µl 0.5 µl Reverse Transcriptase 1 µl – Nuclease-free water 0.5 µl 1.5 µl Final volume 20 μl 20 µl 4. Incubate the 20 μl cDNA synthesis reaction mixture at 42°C for one hour. 5. Inactivate the enzyme at 80°C for 5 minutes. 6. Bring the reaction volume to 50 μl with water. The cDNA product should be stored at –20°C. PCR Amplification: 1. Mix the following in a PCR tube on ice: Taq 2X Master Mix 25 μl (mix well by inverting before use) Forward Primer (10 μM) 1 μl (final concentration 200 nm) Reverse Primer (10 μM) 1 μl (final concentration 200 nm) Diluted cDNA 2.5 or variables H20 variable 20.5 or variables Total volume 50 µl 2. Mix gently and allowed the reaction to proceed under the following condition: Initial denaturation 95°C 1 minute 35-40 Cycles 94°C

57°C 68°C

30 seconds 30 seconds 1 minute per kb

Final Extension 68°C 10 minutes 3. Optimize cycle numbers to prevent the amount of PCR product from exceeding the upward slope of a typical cycle number-PCR product. Apply 35 cycles for IL-8 and TLR-7 assays and 40 cycles for IL-12 assay. Quantification: 1. Separate gene specific PCR products in 1.5% agarose gels using 0.02% ethidium bromide for visualization. 2. Quantify band intensity in ultraviolet light using illuminometer and Image J software (www.rsb.info.nih.gov). Target gene is expressed relative to the internal control (GAPDH).

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58

Source: Protoscript® M-MuLV Taq RT-PCR kit instructional manual, New England Biolabs Inc., MA

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Appendix F

Primer Sequences

Genes Direction *Primer sequences (5’-3’) Accession no. Product size (bp) Forward GCTCTACATGTCGTGTGTGATGAG

IL-1β Backward TGTCGATGTCCCGCATGA

Y15006 75

Forward ATGTGCAAGAAGTTCACCGTGTGC IL-6

Backward TTCCAGGTAGGTCTGAAAGGCGAA AJ309540

171

Forward TTTCAGCTGCTCTGTCGCAAGGTA IL-8 Backward CTTGGCGTCAGCTTCACATCTTGA

DQ393272

127

Forward TGTCTCACCTGCTATTTGCCTTAC IL-12

Backward CATACACATTCTCTCTAAGTTTCCACTGT NM_213571

87

Forward ACCCGGATTGCAGTCTCAGTACAT TLR-3

Backward TGTCCTTGCAGGCTGAGGTATCAA NM_001011691

92

Forward GTTGCTTGCTGCAGGAGTGTTTCT TLR-4

Backward AGGGTTCCACCAGCTCTTTCATCA AY064697

179

Forward TGAACTCCAGCAGACACTCAGGTT TLR-5

Backward TGCAGGTGGATGGCTTCCTATCAA NM_001024586

160

Forward ATCTGACGGTGTTGGATCTTGGGA TLR-7

Backward ACGTGCCTGCTGTATTGCTCTACT FJ915600

187

Forward ATGCCATCACAGCCACACAGAAGA GAPDH

Backward GCACACGGAAAGCCATTCCAGTAA NM_204305

171

* Primers were designed using PrimerQuest software (www.idtdna.com, integrated DNA Technology, Iowa)

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