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TRANSCRIPT
Transcerebral exchange kinetics of large neutral amino acids during acute inspiratory
hypoxia in humans
Rasmus H. Dahl,1 MD; Ronan M. G. Berg,2,3,4 MD, PhD; Sarah Taudorf,5 MD, PhD; Damian M.
Bailey,4 PhD; Carsten Lundby,6 PhD; Mette Christensen,7 MSc; Fin S. Larsen,8 MD, DMSc; Kirsten
Møller,1 MD, PhD, DMSc
1Department of Neuroanaesthesiology, Rigshospitalet, Copenhagen, Denmark; 2Department of Clinical Physiology, Nuclear Medicine & PET,
Rigshospitalet, Copenhagen, Denmark; 3Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen,
Copenhagen, Denmark; 4Neurovascular Research Laboratory, Faculty of Life Sciences and Education, University of South Wales, UK; 5Department
of Neurology 2082, University Hospital Rigshospitalet, Copenhagen, Denmark; 6Centre for Physical Activity Research, Rigshospitalet, Copenhagen,
Denmark; 7Department of Clinical Genetics, Rigshospitalet, Copenhagen, Denmark; 8Department of Hepatology, Rigshospitalet, Copenhagen,
Denmark
Word count: ~2000; Figures: 0; Tables: 2; References: 30
Target journal: Scandinavian Journal of Clinical and Laboratory Investigation (original article)
Running title: BBB transport of LNAAs during hypoxia
Contact information:
Dr. Ronan M. G. Berg, MD, PhD
Department of Clinical Physiology, Nuclear Medicine & PET
Rigshospitalet
Blegdamsvej 9
DK-2100 Copenhagen
Denmark
Phone: (+45) 35 45 18 25
E-mails:
Rasmus H. Dahl: [email protected]
Ronan M. G. Berg: [email protected]
Sarah Taudorf: [email protected]
Damian M. Bailey: [email protected]
Carsten [email protected]
Mette Christensen: [email protected]
Fin S. Larsen: [email protected]
Kirsten Møller: [email protected]
Abstract
Hypoxaemia is present in many critically ill patients, and may contribute to encephalopathy.
Changes in the passage of large neutral amino acids (LNAAs) across the blood-brain barrier (BBB)
with an increased cerebral influx of aromatic amino acids into the brain may concurrently be
present and also contribute to encephalopathy, but it has not been established whether hypoxaemia
per se may trigger such changes.
We measured cerebral blood flow (CBF) in 11 healthy men using the Kety-Schmidt technique and
obtained paired arterial and jugular-venous blood samples for the determination of LNAA by high
performance liquid chromatography at baseline and after 9 hours of poikilocapnic normobaric
hypoxia (12% O2). Transcerebral net exchange was determined by the Fick principle, and transport
of LNAAs across the BBB was determined mathematically.
Hypoxia increased both the systemic and corresponding cerebral delivery of the aromatic amino
acid phenylalanine, and the branched-chain amino acids leucine and isoleucine. Despite this, the
transcerebral net exchange values and mathematically derived brain extracellular concentrations for
all LNAAs were unaffected.
In conclusion, the observed changes in circulating LNAAs triggered by hypoxaemia do not affect
the transcerebral exchange kinetics of LNAAs to such an extent that their brain extracellular
concentrations are affected.
Keywords (MeSH ID)
Aromatic amino acids (D024322), blood-brain barrier (D001812), branched-chain amino acids
(D000597), metabolism (D008660), hypoxia (D000860)
Introduction
Fulminant hepatic failure and sepsis are associated with encephalopathy ranging from impaired
attention to coma [1,2]. While the underlying mechanisms remain to be established, changes in the
passage of large neutral amino acids (LNAAs) across the blood-brain barrier (BBB) may be a
potential contributory factor [3–7]. The pathophysiology of encephalopathy is complex and may
involve disturbances in cerebral metabolism, neurotransmission and microcirculation possibly due
to altered plasma metabolites or damage to the BBB [1,2]. In both hepatic failure and sepsis, plasma
concentrations of aromatic amino acids (AAA) increase disproportionately relative to branched-
chain amino acids (BCAA), traditionally attributed to increased protein turnover in skeletal muscle
combined with increased utilisation of BCAAs for the synthesis of acute phase reactants in the liver
[8,9]. Given that AAAs and BCAAs are transported across the BBB through the same carrier in a
competitive manner [10], this may lead to AAA accumulation within the brain extracellular fluid to
such an extent that central noradrenergic circuits involved in wakefulness and arousal are attenuated
[11].
The primary goal of this study was to assess the BBB transport of LNAAs during acute inspiratory
hypoxia in healthy humans. Our secondary goal was to evaluate the effect of changes in the
transcerebral exchange kinetic on estimated brain extracellular fluid concentrations of LNAAs.
Hypoxaemia is a characteristic feature of most critically ill patients with either fulminant hepatic
failure or severe sepsis [12–15] and may contribute to the development of brain dysfunction.
However, before studying these effects in patients, it should be known, to what extent hypoxaemia
per se affects the passage of LNAAs into the brain in healthy humans, which has not previously
been examined. Thus, in the present study, we measured for the first time, changes in the systemic
concentrations of LNAAs and corresponding transcerebral net exchange and competitive transport
across the BBB during acute hypoxia. We hypothesised that hypoxaemia would increase the
cerebral delivery and influx of phenylalanine, similar to that observed during lipopolysaccharide-
induced systemic inflammation [16], in a group of healthy volunteers.
Materials and methods
Ethics
The study was approved by the Scientific-Ethics Committee of Copenhagen and Frederiksberg
Municipalities, Denmark (file number KF01-290/011). All participants were informed of the
purpose/risks of the experiment and signed an informed consent form, with all procedures adhering
to guidelines set forth in the Declaration of Helsinki.
Experimental design
The experimental design has been described previously [17] though the current study describes
entirely separate measurements to address an independent working hypothesis. We recruited 11
healthy males aged 27 (mean) ± (SD) 4 years. While plasma levels of LNAAs may vary
considerably with fitness level and dietary pattern [23,24], this was not taken into account in the
recruitment process. Global CBF was measured using the Kety-Schmidt technique [18] and paired
arterial and jugular-venous blood samples were obtained for arterial blood gas analysis (ABL 605
OSM, Radiometer, Brønshøj, Denmark) and LNAA quantitation.
Subjects attended the laboratory at 7 pm after a 12-hour overnight fast. Ultrasound-guided
catherization of the radial artery and right internal jugular vein was performed under local
anesthesia. Measurements of CBF were performed and paired arterial and jugular venous blood
samples were obtained after 30 min of supine rest in normoxia (21% O2) and again after 9-h hours
exposure to poikilocapnic normobaric hypoxia (12% O2, balanced nitrogen). The inspirates were
delivered through a tight-fitting mask connected to a non-rebreathing valve and a 500-liter
meteorological balloon that was supplied through compressed gas cylinders. Data on arterial blood
gases, global CBF, and cerebral oxidative metabolism have been published previously [17,19–22].
Amino acids
We measured all LNAAs with the exception of tryptophan (AAAs: phenylalanine and tyrosine;
BCAAs: valine, leucine, and isoleucine; others: histidine and methionine). Plasma was isolated
immediately after sampling of EDTA-blood, by centrifugation at 3000g for 10 min. at 4oC, and
stored at -20 °C until analysis. On the day of amino acid analysis, isolated EDTA-plasma was
thawed and deproteinised using sulfosalicylic acid (containing norleucine as internal standard).
Amino acid analysis was performed by high performance liquid chromatography (HPLC) with
fluorometric detection, utilizing post-column derivatization of free amino acids with o-
phthalaldehyde (OPA). Chromatographic separation was performed by ion-exchange
chromatography, using a lithium amino acid analysis HPLC-column (4.0 x 100 mm, 5 µm,
Pickering Laboratories). The HPLC system consisted of a Waters 510 dual piston pump system
controller, a Waters 420 fluorescence detector and a Waters 717 plus autosampler all controlled by
a Waters Empower software system (Milford, MA) for chromatographic analysis.
Calculations
The BCAA/AAA ratio was calculated as the ratio between the total arterial concentrations of the
BCAAs (valine, leucine and isoleucine) and the AAAs (phenylalanine and tyrosine):
BCAA / AAA=CVal+CLeu+C Ile
CPhe+CTyr
The transcerebral net exchange J of a given LNAA was calculated according to the Fick principle:
J=a jvD ⋅CBF
where a jvD is the arterial-to-jugular venous concentration difference. As in our previous study
[16], we took into account that only the plasma compartment of the cerebral capillaries is involved
in the transport of LNAAs [25], and that LNAAs equilibrate over the red blood cell membrane [26],
and adjusted the jugular-venous concentrations accordingly. Thereafter we calculated the cerebral
delivery of LNAAs by:
CD=Cp ⋅CPF
where C p is the plasma concentration, and CPF is the cerebral plasma flow (CBF ⋅[1−Hct ]¿.
BBB transport of LNAAs were based on a single membrane model of the BBB, where the transport
was considered entirely saturable in accordance with Michaelis-Menten kinetics, while assuming
steady-state conditions [27]. J depends on the balance of fluxes between the cerebral capillaries and
the brain extracellular fluid and can be determined as the difference between the unidirectional
influx and efflux (v1 and v2, respectively) across the BBB:
J=υ1−υ2
where υ1 and υ2 may be estimated from the permeability surface area for the given LNAA from
blood to brain and brain to blood (PS1and PS2, respectively), and the plasma and brain extracellular
concentration (Cb) of the LNAA:
υ1=P S1⋅C p υ2=P S2⋅Cb
P S1 for a given LNAA was calculated from its V max and its absolute Km-value using established
kinetic constants [10,28], which has previously yielded reliable estimates of the brain LNAA
transport.
P S1=V max
Km⋅ 1
Sp+1
The saturation of the LNAA transport system in plasma was evaluated by the substrate activity in
the plasma compartment, Sp, which is the sum of all LNAAs competing for the transporter weighted
by their individual absolute Km-values [29]:
Sp= ∑LNAAs
Cp
Km
In order to examine the unidirectional efflux and the brain extracellular fluid concentration we have
previously established a capillary model of LNAA transport based on the Renkin-Crone equation
[30,31]. Below C jv is the concentration of LNAAs in jugular-venous blood:
υ2=P S1⋅C jv−Cp ⋅α
1−α, α=exp(−P S1
CPF )In order to find the brain extracellular fluid concentration of LNAAs, we calculated the
permeability surface area product from brain extracellular fluid to plasma, P S2 defined as:
P S2=V max
Km⋅ 1
Sb+1
The saturation of the transport system measured by the brain substrate activity, Sb, is of great
importance for the permeability from brain to blood [16]. We calculated the saturable transport
parameter, ζ , as the sum of unidirectional effluxes of all LNAAs competing for the transport system
weighted by their individual V max-values [27].
ζ = ∑LNAAs
υ2
V max
Hereafter Sb was calculated using the expression:
Sb=1
ζ−1−1
Finally, Cb was calculated using the definition of the unidirectional efflux from the brain:
C b=υ2
P S2
This approach was specifically used to estimate the changes in Cb between normoxia and hypoxia
[27].
Statistics
A prospective power calculation with 80% power at the P < 0.05 level was performed based on a
pilot study measuring CBF and oxidative metabolites [17]. Measurement of LNAAs were not
included in the pilot study. We considered a hypoxia-mediated change of ±10% of the normoxic
mean arterial/venous values as “physiologically significant”. Our calculations indicated that 9
subjects were sufficient to detect a difference between conditions (normoxia vs. hypoxia) or sample
site (arterial vs. venous). A final sample size of 11 was chosen taking account for a potential “drop-
out” rate of 20%.
The majority of the data did not show normal distribution according to visual inspection of
normality plots and Shapiro–Wilk W test. Nonparametric analyses were performed with R statistical
software version 3.4.1 (R Foundation for Statistical Computing, Vienna, Austria). The Wilcoxon
matched pairs-signed-ranks test was used to compare differences between normoxia and hypoxia.
Data are presented as median (interquartile range) or median (95% Wilcoxon confidence interval),
and p < 0.05 was considered statistically significant.
Results
Arterial blood gas values and CBF
As reported elsewhere [17], inspiratory hypoxia induced a reduction in PaO2 with hyperventilation,
resulting in a mild respiratory alkalosis, while CBF was unaffected.
Systemic and cerebral metabolism of LNAAs
Hypoxia increased arterial concentrations of phenylalanine, leucine, and isoleucine, whereas
methionine decreased and all other LNAAs remained unchanged (Table 1). Consequently, the
cerebral delivery of phenylalanine and isoleucine increased from normoxia to hypoxia, whereas the
change in the cerebral delivery of leucine did not reach statistical significance (p = 0.06). Hypoxia
did not alter the transcerebral net exchange of LNAAs (Table 1) or the BCAA/AAA-ratio [4.4 (4.1-
5.0) vs 4.8 (4.4-5.0), p = 0.63].
BBB transport of LNAAs
Hypoxia increased the substrate activity in plasma (Sp) from 12.2 (11.4-13.0) to 14.0 (13.1-14.5) (p
< 0.01), and the P S1-values for all LNAAs were subsequently reduced (p < 0.05) (Table 2).
Hypoxia increased the unidirectional cerebral influx of phenylalanine, while the unidirectional
influxes of leucine and isoleucine were unaffected. The unidirectional influxes of tyrosine, valine,
histidine and methionine were reduced during hypoxia. No significant changes in Cb were observed
for any of the LNAAs.
Discussion
The present study has identified two novel observations. Firstly, hypoxaemia induced by 9 hours of
inspiratory hypoxia at an FIO2 of 12% increased the systemic concentration and corresponding
cerebral delivery of the AAA phenylalanine and the BCAAs leucine and isoleucine. Secondly, this
was associated with increased competition between the LNAAs for transport across the BBB
evident from the increase in substrate activity (Sp). Although hypoxia changed the cerebral delivery
and unidirectional efflux of some LNAAs, it did not alter the transcerebral net exchange or brain
extracellular fluid concentration of LNAAs.
The present study demonstrates that in contrast to fulminant hepatic failure and sepsis [4–6,32,33],
where plasma AAA levels, notably phenylalanine, increase while BCAAs decrease, hypoxaemia
per se does not change BCAA/AAA-ratio, given that both AAAs and BCAAs increase
proportionately in plasma. This implies that factors other than hypoxaemia, such as the acute phase
response, may be responsible for the disproportionate elevation in AAA levels observed in these
conditions. Indeed, we have previously identified that as little as an hour-lasting systemic
inflammatory response triggered by intravenous lipopolysaccharide infusion leads to a reduction in
the BCAA/AAA-ratio [34]. In this previous study, plasma phenylalanine increased, while most
other LNAAs decreased following the lipopolysaccharide infusion. The opposing changes in the
LNAA concentrations did not change the competition between the LNAAs as the saturation of the
BBB transport from blood to brain was unaltered (Spwas unaffected; unpublished data) after
lipopolysaccharide infusion. Hence, due to the increase in plasma phenylalanine, an increase in its
cerebral influx was evident, which subsequently appeared to be converted to tyrosine within the
brain [16]. In contrast, the BCAA/AAA-ratio was maintained in the present study, and the
competition between the LNAAs for transport into the brain increased as both phenylalanine,
leucine and isoleucine increased in plasma. We therefore speculate that the parallel increase in
plasma BCAAs and AAAs may prevent pathological accumulation of a single amino acid due to a
more even competition for the saturable transport system.
Our mathematical model shows that insignificant changes in the brain extracellular fluid
concentrations of LNAAs from normoxia to hypoxia were enough to obtain unidirectional effluxes
(under the assumption of constant absolute Km-values) explaining the difference between the
unidirectional influx and transcerebral net exchange. This may indicate that hypoxia only induces
minor changes to the LNAA transport system in healthy humans. The changes in unidirectional
influxes were matched by concomitant changes in the unidirectional effluxes without affecting the
transcerebral net exchange.
Studies of the abluminal membrane of the cerebral capillaries suggest that energy- and sodium-
dependent transport systems are responsible for LNAA transport [35–39], but these system are not
readily available for mathematical modelling. Abluminal transport may avoid AAA accumulation
when increased plasma levels of AAAs compete for the saturable transport system by increasing the
unidirectional efflux of LNAAs. Some studies suggests that dysfunction of the abluminal transport
system with decreased unidirectional efflux may account for the AAA accumulation in fulminant
hepatic failure [5,6]. In healthy humans, the hypoxia-induced plasma LNAA changes are within the
capacity of the abluminal transport system.
In critically ill patients LNAAs with sepsis or fulminant hepatic failure [4,5,32] changes in plasma
LNAAs are much greater than observed herein. We therefore believe that hypoxaemia does not
contribute to AAA accumulation in critically ill patients, unless hypoxaemia has an additive effect
on the plasma phenylalanine increase without having such effect on the BCAAs. The possible effect
of hypoxaemia on the energy-dependent abluminal transport systems should be assessed in future
ex vivo studies. Furthermore, recent advances in 1H-magnetic resonance spectroscopy of cerebral
phenylalanine content [39] may be combined with mathematical modelling of the LNAA transport
system in future studies to elucidate this, both in healthy humans and in critically ill patients.
Any mathematical model such as that employed in the present study for the assessment of BBB
transport of LNAAs is associated with unavoidable limitations. However, it provides an important
albeit derived estimation of the physiological changes that occur in compartments not immediately
accessible for sampling in humans. Most of these have been discussed in detail elsewhere [16,27]
and only the most critical limitations will be mentioned here. First, the estimated parameters
represent average whole-brain values, and due to the heterogeneity of both perfusion and metabolite
concentrations between various subcompartments within the brain (grey and white matter) [16], it
cannot be ruled out on the basis of our findings that hypoxaemia induces specific changes in the
LNAA transport and turnover in specific brain areas. Although acute inspiratory hypoxia notably
increases blood flow in the posterior cerebral circulation, we believe it is unlikely to affect the
global LNAA transport [40]. Second, our approach focuses exclusively on carrier-mediated
saturable LNAA transport across the BBB [27], and it must therefore be considered that the
cerebrovasculature contains areas without a BBB that are not accounted for. Third, we applied
established kinetic constants obtained from studies on anesthetised rats for our calculations in this
study, as these appear to provide the best estimates of LNAA transport in humans in vivo
[10,27,28]. However, it remains a possibility that hypoxaemia per se as well as other physiological
interventions could influence these kinetic constants. Finally, we did not include the LNAA
tryptophan in our calculations in the present study, as we were unable to measure it at the time
when the analyses were performed. As tryptophan competes for transport across the BBB through
the same carrier as the other LNAAs [10] this may alter the interpretation of our findings though
our calculations suggest that its contribution to the overall competition across the BBB amounts to
only ~10% (unpublished observations).
Only one other study has examined the effect of hypoxia on plasma LNAAs in human. In healthy
volunteers aged 66 (mean) ± (SD) 8 years a 2 hr exposure of 10% oxygen significantly decreased
plasma tyrosine levels, while other measured LNAAs remained unchanged [41]. Interestingly, the
baseline plasma concentrations of tyrosine, phenylalanine and methionine differ markedly from
those obtained in our study, possibly due to the age of the subjects. Future studies should assess the
reponse to longer exopsure of hypoxia in elderly healthy human.
In conclusion, we found that although hypoxaemia induced by acute inspiratory hypoxia causes
changes in several circulating LNAAs, these changes do not affect the transcerebral exchange
kinetics or BBB transport of LNAA to such an extent that the concentration of phenylaline
increases in brain extracellular fluid.
Author contributions
RHD defined the model, performed the calculations, interpreted the data, prepared tables and
figures, performed statistical analyses, and drafted the manuscript. RMGB conducted and conceived
of the study, handled supervision, interpreted the data, and drafted the manuscript. ST, DMB, and
CL conducted the study and acquired and interpreted the data. MC conducted the amino acid
analyses. FSL interpreted the data. KM conceived of and designed the research, conducted the
study, acquired, analyzed, and interpreted the data, drafted the manuscript, and handled funding and
supervision. All authors made critical revisions and read and approved the final manuscript.
Acknowledgements
None.
Conflict of interest
None.
Tables
Normoxia HypoxiaC p
μMCD
nmol /min/gJ
nmol /min/gC p
μMCD
nmol /min/gJ
nmol /min/gPheAAA 45.2 (41.2−48.4) 22.6 (18.5−25.5) 0.55 (-0.42−1.26) 52.4 (47.8−59.3) ** 29.2 (25.0−31.0) * 0.75 (-
0.03−1.71)TyrAAA 43.8 (17.6−20.9) 21.0 (18.1−26.0) -0.19 (-0.89−0.38) 42.4 (37.1−50.3) 22.7 (20.4−23.4) 0.56 (-
0.43−1.45)ValBCAA 229.3
(213.6−251.1)109.8 (95.3−139.7) 2.64 (-0.07−7.62) 240.6 (227.6−251.2) 130.8 (99.9−142.6) 3.15 (2.45−4.30)
LeuBCAA 114.6 (108.8−127.9)
56.2 (50.3−69.9) 3.20 (2.70−6.04) 137.9 (129.1−140.3) *
72.4 (58.8−80.0) 5.15 (3.14−6.34)
IleBCAA 57.9 (54.6−65.5) 30.3 (23.4−34.2) 1.12 (0.91−2.77) 67.6 (64.8−70.5) * 35.0 (32.4−39.1) * 1.85 (1.33−2.53)His 82.3 (80.6−85.3) 41.7 (34.2−44.5) 0.45 (-0.93−1.88) 84.1 (75.4−87.0) 44.5 (37.9−46.8) 0.71 (-
0.28−1.08)Met 18.5 (17.6−20.9) 9.4 (8.2−10.6) 0.28 (0.01−0.78) 18.3 (15.0−19.4) * 9.1 (8.1−10.3) 0.51 (0.12−0.73)
Table 1. Arterial concentration, cerebral delivery and transcerebral net exchange of large neutral amino acids
during normoxia and hypoxia. Results are presented as median (interquartile range). AAA: Aromatic amino acids;
BCAA: branched chain amino acids; CD: Cerebral delivery; C p: Plasma concentration; J : Transcerebral net exchange.
* p < 0.05 for normoxia vs. hypoxia. ** p < 0.01 for normoxia vs. hypoxia.
Δ P S1
mL /min/ gΔυ1
nmol /min/gΔCb
μMPheAAA -0.022 (-0.045−[-0.004]) * 1.06 (0.30−1.62) * 2.8 (-15.8−18.9)TyrAAA -0.010 (-0.018−[-0.001]) * -0.82 (-1.13−[-0.24]) * -2.1 (-18.0−23.4)ValBCAA -0.002 (-0.003−[-0.000]) * -0.36 (-0.53−[-0.08]) * 19.5 (-129.8−69.0)LeuBCAA -0.012 (-0.024−[-0.003]) * -0.20 (-0.76−1.42) 2.3 (-33.2−37.1)IleBCAA -0.006 (-0.13−[-0.001]) * 0.13 (-0.15−0.47) 1.2 (-20.5−16.7)His -0.004 (-0.008−[-0.001]) * -0.29 (-0.80−[-0.22]) ** 6.4 (-39.9−33.8)Met -0.004 (-0.008−[-0.002]) * -0.14 (-0.38−[-0.11]) ** 1.1 (-16.4−6.8)
Table 2. Differences in blood-brain barrier transport parameters between normoxia and hypoxia.
Results are presented as the median of differences (95% Wilcoxon confidence interval). All differences are
presented as normoxia minus hypoxia. AAA: Aromatic amino acids; BCAA: branched chain amino acids;
ΔCb: Difference in brain extracellular fluid concentration; Δ P S1: Difference in permeability surface area
product from blood to brain; Δυ1: Difference in unidirectional influx from blood to brain. * p < 0.05 for
normoxia vs. hypoxia. ** p < 0.01 for normoxia vs. hypoxia.
References
1. Gofton TE, Young GB. Sepsis-associated encephalopathy. Nat. Rev. Neurol. Nature
Publishing Group; 2012;8:557–66.
2. Larsen FS, Bjerring PN. Acute liver failure. Curr. Opin. Crit. Care 2011;17:160–4.
3. Basler T, Meier-Hellmann A, Bredle D, Reinhart K. Amino acid imbalance early in septic
encephalopathy. Intensive Care Med. 2002;28:293–8.
4. Mizock BA, Sabelli HC, Dubin A, Javaid JI, Poulos A, Rackow EC. Septic encephalopathy.
Evidence for altered phenylalanine metabolism and comparison with hepatic encephalopathy.
Arch. Intern. Med. 1990;150:443–9.
5. Strauss GI, Knudsen GM, Kondrup J, Møller K, Larsen FS. Cerebral metabolism of
ammonia and amino acids in patients with fulminant hepatic failure. Gastroenterology
2001;121:1109–19.
6. Knudsen GM, Schmidt J, Almdal T, Paulson OB, Vilstrup H. Passage of amino acids and
glucose across the blood-brain barrier in patients with hepatic encephalopathy. Hepatology
1993;17:987–92.
7. Dejong CHC, van de Poll MCG, Soeters PB, Jalan R, Olde Damink SWM. Aromatic amino
acid metabolism during liver failure. J. Nutr. 2007;137:1579S-1585S; discussion 1597S-
1598S.
8. Druml W, Heinzel G, Kleinberger G. Amino acid kinetics in patients with sepsis. Am. J.
Clin. Nutr. 2001;73:908–13.
9. Hasselgren PO, Pedersen P, Sax HC, Warner BW, Fischer JE. Current concepts of protein
turnover and amino acid transport in liver and skeletal muscle during sepsis. Arch. Surg.
1988;123:992–9.
10. Smith Q, Stoll J. Blood-brain barrier amino acid transport. In: Pardridge WM, editor. Introd.
to Blood-Brain Barrier Methodol. Biol. Pathol. Cambridge: Cambridge University Press;
1998. p. 188–97.
11. Fischer JE. The Development of the False Neurotransmitter Concept of Hepatic
Encephalopathy. In: Capocaccia L, Fischer JE, Rossi-Fanelli F, editors. Hepatic Enceph.
Chronic Liver Fail. Boston: Springer, Boston, MA; 1984. p. 53–60.
12. Berg RMG, Plovsing RR, Ronit A, Bailey DM, Holstein-Rathlou N-H, Møller K.
Disassociation of static and dynamic cerebral autoregulatory performance in healthy
volunteers after lipopolysaccharide infusion and in patients with sepsis. Am. J. Physiol.
Regul. Integr. Comp. Physiol. 2012;303:R1127-35.
13. Bihari D, Gimson AE, Waterson M, Williams R. Tissue hypoxia during fulminant hepatic
failure. Crit. Care Med. 1985;13:1034–9.
14. Saugel B, Klein M, Hapfelmeier A, Phillip V, Schultheiss C, Meidert AS, Messer M, Schmid
RM, Huber W. Effects of red blood cell transfusion on hemodynamic parameters: a
prospective study in intensive care unit patients. Scand. J. Trauma. Resusc. Emerg. Med.
2013;21:21.
15. Colle I, Langlet P, Barrière E, Heller J, Rassiat E, Condat B, Carayon A, Valla D, Moreau R,
Lebrec D. Evolution of hypoxemia in patients with severe cirrhosis. J. Gastroenterol.
Hepatol. 2002;17:1106–9.
16. Dahl RH, Berg RMG, Taudorf S, Bailey DM, Lundby C, Larsen FS, Møller K. A
reassessment of the blood-brain barrier transport of large neutral amino acids during acute
systemic inflammation in humans. Clin. Physiol. Funct. Imaging 2018;38:656–62.
17. Bailey DM, Taudorf S, Berg RMG, Lundby C, McEneny J, Young IS, Evans KA, James PE,
Shore A, Hullin DA, McCord JM, Pedersen BK, Möller K. Increased cerebral output of free
radicals during hypoxia: implications for acute mountain sickness? Am. J. Physiol. Regul.
Integr. Comp. Physiol. 2009;297:R1283-92.
18. Taudorf S, Berg RMG, Bailey DM, Møller K. Cerebral blood flow and oxygen metabolism
measured with the Kety-Schmidt method using nitrous oxide. Acta Anaesthesiol. Scand.
2009;53:159–67.
19. Bailey DM, Taudorf S, Berg RMG, Jensen LT, Lundby C, Evans KA, James PE, Pedersen
BK, Moller K. Transcerebral exchange kinetics of nitrite and calcitonin gene-related peptide
in acute mountain sickness: evidence against trigeminovascular activation? Stroke
2009;40:2205–8.
20. Bailey DM, Taudorf S, Berg RMG, Lundby C, Pedersen BK, Rasmussen P, Møller K.
Cerebral formation of free radicals during hypoxia does not cause structural damage and is
associated with a reduction in mitochondrial PO2; evidence of O2-sensing in humans? J.
Cereb. Blood Flow Metab. 2011;31:1020–6.
21. Bailey DM, Lundby C, Berg RMG, Taudorf S, Rahmouni H, Gutowski M, Mulholland CW,
Sullivan JL, Swenson ER, McEneny J, Young IS, Pedersen BK, Møller K, Pietri S, Culcasi
M. On the antioxidant properties of erythropoietin and its association with the oxidative-
nitrosative stress response to hypoxia in humans. Acta Physiol. (Oxf). 2014;212:175–87.
22. Rasmussen P, Nordsborg N, Taudorf S, Sørensen H, Berg RMG, Jacobs RA, Bailey DM,
Olsen N V, Secher NH, Møller K, Lundby C. Brain and skin do not contribute to the
systemic rise in erythropoietin during acute hypoxia in humans. FASEB J. 2012;26:1831–4.
23. Schmidt JA, Rinaldi S, Scalbert A, Ferrari P, Achaintre D, Gunter MJ, Appleby PN, Key TJ,
Travis RC. Plasma concentrations and intakes of amino acids in male meat-eaters, fish-
eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort. Eur. J.
Clin. Nutr. 2016;70:306–12.
24. Wuensch T, Quint J, Mueller V, Mueller A, Wizenty J, Kaffarnik M, Kern B, Stockmann M,
Biebl M, Pratschke J, Aigner F. Identification of serological markers for pre- and
postoperative fasting periods. Clin. Nutr. ESPEN 2019;30:131–7.
25. Ellison S, Pardridge WM. Red cell phenylalanine is not available for transport through the
blood-brain barrier. Neurochem. Res. 1990;15:769–72.
26. Hagenfeldt L, Arvidsson A. The distribution of amino acids between plasma and
erythrocytes. Clin. Chim. Acta. 1980;100:133–41.
27. Dahl RH, Berg RMG. A mathematical approach for assessing the transport of large neutral
amino acids across the blood-brain barrier in man. Acta Neurobiol. Exp. (Wars).
2015;75:446–56.
28. Smith QR, Momma S, Aoyagi M, Rapoport SI. Kinetics of neutral amino acid transport
across the blood-brain barrier. J. Neurochem. 1987;49:1651–8.
29. Meier C, Ristic Z, Klauser S, Verrey F. Activation of system L heterodimeric amino acid
exchangers by intracellular substrates. EMBO J. 2002;21:580–9.
30. Crone C. The Permeabolity of Capillaries in Various Organs as Determined by Use of the
“Indicator Diffusion” Method. Acta Physiol. Scand. 1963;58:292–305.
31. Renkin EM. Transport of potassium-42 from blood to tissue in isolated mammalian skeletal
muscles. Am. J. Physiol. 1959;197:1205–10.
32. Takezawa J, Taenaka N, Nishijima MK, Hirata T, Okada T, Shimada Y, Yoshiya I. Amino
acids and thiobarbituric acid reactive substances in cerebrospinal fluid and plasma of patients
with septic encephalopathy. Crit. Care Med. 1983;11:876–9.
33. Freund HR, Ryan JA, Fischer JE. Amino acid derangements in patients with sepsis: treatment
with branched chain amino acid rich infusions. Ann. Surg. 1978;188:423–30.
34. Berg RMG, Taudorf S, Bailey DM, Lundby C, Larsen FS, Pedersen BK, Møller K. Cerebral
net exchange of large neutral amino acids after lipopolysaccharide infusion in healthy
humans. Crit. Care 2010;14:R16.
35. Verrey F. System L: heteromeric exchangers of large, neutral amino acids involved in
directional transport. Pflugers Arch. 2003;445:529–33.
36. Sánchez del Pino MM, Peterson DR, Hawkins RA. Neutral amino acid transport
characterization of isolated luminal and abluminal membranes of the blood-brain barrier. J.
Biol. Chem. 1995;270:14913–8.
37. O’Kane RL, Hawkins R a. Na+-dependent transport of large neutral amino acids occurs at
the abluminal membrane of the blood-brain barrier. Am. J. Physiol. Endocrinol. Metab.
2003;285:E1167-73.
38. O’Kane RL, Viña JR, Simpson I, Hawkins R a. Na+ -dependent neutral amino acid
transporters A, ASC, and N of the blood-brain barrier: mechanisms for neutral amino acid
removal. Am. J. Physiol. Endocrinol. Metab. 2004;287:E622-9.
39. Kreis R. 1H-Magnetic Resonance Spectroscopy of Cerebral Phenylalanine Content and its
Transport at the Blood-Brain Barrier. In: Choi I, Gruetter R, editors. Neural Metab. Vivo.
Boston: Springer; 2012. p. 1117–34.
40. Ogoh S, Sato K, Nakahara H, Okazaki K, Subudhi AW, Miyamoto T. Effect of acute
hypoxia on blood flow in vertebral and internal carotid arteries. Exp. Physiol. 2013;98:692–
8.
41. Vohra R, Dalgaard LM, Vibaek J, Langbøl MA, Bergersen LH, Olsen NV, Hassel B,
Chaudhry FA, Kolko M. Potential metabolic markers in glaucoma and their regulation in
response to hypoxia. Acta Ophthalmol. 2019;97:567–76.