Amino acids and hepatic encephalopathy

Fanelli, Filippo Rossi; Cascino, A.; Strom, Roberto; Cardelli-Cangiano, P.; Ceci, Fabrizio; Muscaritoli, Maurizio; Cangiano, C.

doi:10.1016/0301-0082(87)90012-8

Cited by 19 publications

(5 citation statements)

References 90 publications

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“…The diversion of portal blood into the systemic circulation in␣PCA rats produces a profound alteration in cerebral neurotransmitter metabolism and function (Rossi‐Fanelli et al . 1987; Fogel et al .…”

Section: Discussionmentioning

confidence: 99%

Neuronal storage of histamine in the brain and tele‐methylimidazoleacetic acid excretion in portocaval shunted rats

Fogel

Michelsen

Granérus

et al. 2002

Journal of Neurochemistry

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Rats with portocaval anastomosis (PCA), an animal model of hepatic encephalopathy (HE), have very high brain histamine concentrations. Our previous studies based on a biochemical approach indicated histamine accumulation in the neuronal compartment. In this study, immunohistochemical evidence is presented which further supports the amine localization in histaminergic neurons. These neurons become pathological in appearance with cisternae frequently seen along histaminergic fibres in many brain areas, including the hypothalamus, amygdala, substantia nigra and cerebral cortex. Such formations were not observed in sham-operated animals. The neuronal deposition is predominant, and unique for histamine. It serves as a mechanism to counterbalance excessive brain neurotransmitter formation evoked by PCA. However, there are other mechanisms. The data provided here show that there is also a significant increase in histamine catabolism in the shunted rats, as reflected by both the higher brain N-telemethylhistamine (t-MeHA) concentration and urinary excretion of N-tele-methylimidazoleacetic acid (t-MeImAA), a major brain histamine end product. The stomach, in addition to the brain, is a site of enhanced histamine synthesis in portocavally shunted subjects. After gastrectomy or food deprivation to eliminate the contribution of the stomach, shunted rats excrete significantly more t-MeImAA, implying the role of the CNS. This last finding suggests that under strictly defined conditions, namely in parenterally fed HE patients with abnormal plasma L-histidine, the measurement of urinary t-MeImAA might provide valuable information concerning putative brain histaminergic activity.

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Section: Discussionmentioning

confidence: 99%

Neuronal storage of histamine in the brain and tele‐methylimidazoleacetic acid excretion in portocaval shunted rats

Fogel

Michelsen

Granérus

et al. 2002

Journal of Neurochemistry

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“…For the analysis of the specific metabolites and pathways, we found that the continuous administration of methamphetamine dramatically affects the energy metabolism including enhanced amino acid metabolism and increased fatty acid consumption in serum and disturbed TCA cycle, increased organic acid excretion, and abnormal purine metabolism in urine. Amino acid metabolism disorders may be due to dysfunction of liver metabolic enzymes [26]. Amino acids are catabolized to produce large amounts of ammonia.…”

Section: Discussionmentioning

confidence: 99%

Identification of Biomarkers for Methamphetamine Exposure Time Prediction in Mice Using Metabolomics and Machine Learning Approaches

et al. 2022

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Methamphetamine (METH) abuse has become a global public health and safety problem. More information is needed to identify the time of drug abuse. In this study, methamphetamine was administered to male C57BL/6J mice with increasing doses from 5 to 30 mg kg−1 (once a day, i.p.) for 20 days. Serum and urine samples were collected for metabolomics studies using gas chromatography–mass spectrometry (GC-MS). Six machine learning models were used to infer the time of drug abuse and the best model was selected to predict administration time preliminarily. The metabolic changes caused by methamphetamine were explored. As results, the metabolic patterns of methamphetamine exposure mice were quite different from the control group and changed over time. Specifically, serum metabolomics showed enhanced amino acid metabolism and increased fatty acid consumption, while urine metabolomics showed slowed metabolism of the tricarboxylic acid (TCA) cycle, increased organic acid excretion, and abnormal purine metabolism. Phenylalanine in serum and glutamine in urine increased, while palmitic acid, 5-HT, and monopalmitin in serum and gamma-aminobutyric acid in urine decreased significantly. Among the six machine learning models, the random forest model was the best to predict the exposure time (serum: MAE = 1.482, RMSE = 1.69, R squared = 0.981; urine: MAE = 2.369, RMSE = 1.926, R squared = 0.946). The potential biomarker set containing four metabolites in the serum (palmitic acid, 5-hydroxytryptamine, monopalmitin, and phenylalanine) facilitated the identification of methamphetamine exposure. The random forest model helped predict the methamphetamine exposure time based on these potential biomarkers.

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“…Il existe de plus chez l'animal immature un système de transport A qui disparaît totalement chez l'adulte (Nagashima et al, 1987 (James et al, 1978). Ceci confirmé par de nombreux auteurs (pour une revue, voir Rossi-Fanelli et al, 1987).…”

Section: Transport Des Ionsunclassified

Processus de transport à travers la barrière hémato-encéphalique

Lefauconnier¹

1989

Reprod. Nutr. Dévelop.

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Amino acids and hepatic encephalopathy

Cited by 19 publications

References 90 publications

Neuronal storage of histamine in the brain and tele‐methylimidazoleacetic acid excretion in portocaval shunted rats

Neuronal storage of histamine in the brain and tele‐methylimidazoleacetic acid excretion in portocaval shunted rats

Identification of Biomarkers for Methamphetamine Exposure Time Prediction in Mice Using Metabolomics and Machine Learning Approaches

Processus de transport à travers la barrière hémato-encéphalique

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