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Amino Acid Transport Kinetics and Protein Turnover in Hemodialysis

2003· article· en· W4205456492 on OpenAlexvenueno aff
Raj Dominic, Blandon Pedro, Ferrando Arny, Adeniyi Oladipo, Vallabh Shah, S. Milton Chris, Wolfe Robert, Zager Philip

Bibliographic record

VenueHemodialysis International · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsProtein turnoverUremiaHemodialysisAmino acidPhenylalanineCatabolismProtein catabolismInternal medicineProtein metabolismMetabolismEndocrinologyMetabolic acidosisProtein degradationChemistryMedicineValineBiochemistryProtein biosynthesis

Abstract

fetched live from OpenAlex

Background: Protein metabolism is abnormal in patients with end-stage renal disease. However, the etiology of abnormal protein turnover is unclear. Also the role of hemodialysis on protein turnover remains controversial. Abnormal protein metabolism could be due to malnutrition or due to abnormal amino acid transport kinetics Hypothesis: 1) Amino acid transport is abnormal in uremia, 2) Hemodialysis increases fractional protein synthesis rate and c) Net protein accretion is negative during hemodialysis because of increased catabolism. Aim: 1) To study the impact of uremia and hemodialysis on intracellular amino acid transport kinetics and 2) Quantify the fractional protein synthesis rate and degradation in a uremic state and during hemodialysis Methods: Protein turnover and amino acid transport kinetics using stable isotopes of phenylalanine in 2 patients and 2 controls. The patients were placed on a standard diet (1.2 gm/Kg protein and 35 Kcal/Kg) for 2 weeks prior to the study. Acidosis as corrected by NaHCO3 supplementation. Amino acid transport and protein turnover were estimated by compartmental model and precursor product approach respectively. Results: Mean protein intake and HCO3 were 1.4 ± 1 gm/day and 26.8 ± 4.1 meq/L respectively. Inward transport (11.2 ± 2.6 vs. 9.8 ± 2.1 nmol/min−1/100 ml leg−1) and outward transport (10.2 ± 1.2 vs.11.0 ± 1.6 l nmol/min−1/100 ml leg−1) were not different before and during HD. Inward and outward transport in controls were 12.6 ± 3.7 and 16.2 ± 3.5 nmol/min−1/100 ml leg−1 respectively. Protein synthesis was higher than catabolism in the pre-dialysis phase (156.8 ± 66.1 vs. 144.3 ± 53.7 nmol/min/ml leg-1, p = NS), but catabolism was higher than synthesis during HD (172.3 ± 20.5 vs. 186.8 ± 25.8 nmol/min/ml leg-1, p = NS). Protein synthesis and catabolism in controls were 110.8 ± 13.5 and 127.4 ± 12.7 nmol/min/ml leg-1. Conclusion: 1. Inward and outward transport of amino acids are not altered by renal failure or hemodialysis. 2. Protein turnover is increased during hemodialysis, with net balance favoring catabolism

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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 designObservational
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
Published2003
Admission routes1
Has abstractyes

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