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Protein and Glutathione Kinetics in Protein Deficient Piglets with Colitis in Response to Nutritional Interventions: Protein Repletion or N‐Acetylcysteine Supplementation

2016· article· en· W4389026466 on OpenAlexafffund
Mengyin Hong, Jing Y Xiao, Evan Nitschmann, Linda Wykes

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGlutathioneEnteral administrationColitisAcetylcysteineChemistryInternal medicineOxidative stressParenteral nutritionMedicineAnabolismEndocrinologyAntioxidantBiochemistry

Abstract

fetched live from OpenAlex

Compromised nutritional status such as protein deficiency during colitis leads to impaired growth and development, and may aggravate disease severity. Enteral nutrition has shown promise in fostering intestinal mucosal healing and inducing remission. Few studies, however, have focused on protein and glutathione (GSH) metabolism in early recovery from colitis. In cases where the anabolic strategy of protein repletion is not possible, an anti‐inflammatory nutrition intervention may improve GSH status without increasing growth or protein synthesis. Our objective was to determine, in protein‐deficient piglets with colitis, if protein repletion or N‐acetylcysteine (NAC, a GSH precursor) supplementation would improve protein and GSH kinetics and reduce oxidative stress. All piglets (n=16) received a protein‐deficient (PD) diet with adequate energy continuously by gastrostomy and dextran sulfate sodium (DSS) (0.5g/(kg·d) i.g.) to induce colitis. After 10 days, DSS was discontinued and piglets were randomized to a control group (CTL, n=5) that continued on the PD diet, one of two intervention groups to receive either the PD diet plus NAC (NAC, n=5) or an isoenergetic diet with adequate protein (AP, n=6). On day 15, L‐[ring‐ 2 H 5 ]phenylalanine and [ 15 N, 1, 2‐ 13 C 2 ]glycine tracers were administered to determine protein and GSH synthesis, respectively. GSH and related sulfhydryls were derivatized immediately with N‐ethylmaleimide for analysis by LC‐MS/MS. Ferric reducing ability of plasma (FRAP) was used as an indicator of systemic antioxidant capacity. Growth was restricted (17±2 g/(kg.d)) during protein restriction. Protein repletion but not NAC supplementation increased weight gain to 53±5 g/(kg·d) (p<0.05). Albumin fractional (FSR) and absolute synthesis rate (ASR) were 4‐fold higher in AP piglets than CTL (FSR: 21 vs. 5%/d; ASR: 285 vs. 57 mg/(kg·d)); however albumin concentration remained low (21 g/L) and not different from other groups. Similar patterns were found in AP piglets for FSR and ASR of plasma and constitutive liver proteins. In contrast, NAC did not influence plasma or liver protein kinetics. AP piglets had higher plasma branched chain, urea cycle, and total essential amino acid concentrations (p<0.05), whereas NAC piglets were intermediate between AP and CTL. Notably neither glycine nor glutamine/glutamate was different between NAC and CTL. In erythrocytes, protein repletion resulted in higher concentrations in GSH and its intermediate γ‐glutamylcysteine, higher GSH FSR and ASR (p<0.02) with correspondingly higher FRAP (p<0.02). In contrast, even though NAC supplementation led to a 5‐fold higher cysteine concentration in jejunum, and moderately higher in erythrocytes, cecum, spiral colon, and lung (p<0.05), it had no effect on GSH concentration or synthesis in erythrocytes, and no effect on FRAP. These data suggest that cysteine may not be the only rate‐limiting intermediate in GSH synthesis during protein deficiency, and that protein repletion is a more effective strategy to improve protein and GSH kinetics and systemic antioxidant status in piglets with colitis. Support or Funding Information Supported by NSERC

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.318
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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