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Variation in <i>ALDH4A1</i> , Proline Intake and Plasma Proteins in a Population of Young Adults

2016· article· en· W2510218025 on OpenAlexafffundabout
Joseph Jamnik, Mun Heui Kim, Christoph H. Borchers, Ahmed El‐Sohemy

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsGenome British ColumbiaUniversity of VictoriaUniversity of Toronto
FundersAdvanced Foods and Materials Network
KeywordsProlineSingle-nucleotide polymorphismBiologyPopulationEndocrinologyGeneticsInternal medicineMedicinePhysiologyGeneGenotypeAmino acid

Abstract

fetched live from OpenAlex

Background The effects of dietary proline content on the lifespan of Caenorhabditis elegans have recently been shown to differ between wild‐type strains and those with a mutation in alh‐6 , a gene involved in proline metabolism. However, this association has not been examined in humans. Objective The objective was to determine whether there is an interaction between dietary proline intake and common genetic variations in the ALDH4A1 gene, the human ortholog of alh‐6 , on proteomic biomarkers in humans. Methods Subjects were Caucasian participants of the Toronto Nutrigenomics and Health Study (n=488), a cross sectional examination of young adults aged 20–29 years. Dietary proline intake was estimated using a 196‐item semi‐quantitative food frequency questionnaire. A panel of 54 plasma proteins that become dys regulated during the progression of many chronic conditions were measured using a multiple reaction monitoring HPLC‐MS/MS assay. Two single nucleotide polymorphisms (SNPs) in the ALDH4A1 gene (rs9117 and rs4912075) were genotyped and the association between these SNPs and the plasma proteome was examined using general linear models (GLMs) adjusted for age, sex, BMI and hormonal contraceptive use among women. GLMs were then used to determine whether stratification by the median value of energy‐adjusted proline intake modified any observed associations. Results There was a significant interaction (p<0.05) between ALDH4A1 variant rs4917025 and proline intake on circulating levels of apolipoprotein I and histidine‐rich glycoprotein, as well as an interaction between rs9117 and proline intake on concentrations of apolipoprotein D, zinc‐α 2 ‐glycoprotein and serum amyloid P‐component (p<0.05). Conclusion These results indicate that genetic variation in ALDH4A1 may interact with dietary proline intake in humans to influence concentrations of various proteomics biomarkers of health. Support or Funding Information Research support from the Advanced Foods and Materials Network.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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
Published2016
Admission routes3
Has abstractyes

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