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Record W3159855561 · doi:10.1210/jendso/bvab048.1008

The Effects of Naphthenic Acids on Tryptophan Metabolism and Peripheral Serotonin Signalling

2021· article· en· W3159855561 on OpenAlexaff
Laiba Jamshed, Genevieve A. Perono, Shanza Jamshed, Kim Ann Cheung, Philippe J. Thomas, Alison C. Holloway

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typearticle
Languageen
FieldChemistry
TopicChromatography in Natural Products
Canadian institutionsEnvironment and Climate Change CanadaMcMaster University
Fundersnot available
KeywordsKynurenineTryptophanSerotoninToxicantMetabolismBiochemistryChemistryKynurenine pathwayEnzymeMetabolic pathwayXenobioticTryptophan hydroxylaseCarbohydrate metabolismBiologyToxicityAmino acidReceptorSerotonergic

Abstract

fetched live from OpenAlex

Abstract Introduction: Serotonin produced in the periphery has been shown to affect glucose and lipid homeostasis. The availability of the amino acid tryptophan, the precursor of serotonin, affects serotonin availability. In addition, the metabolism of tryptophan via the kynurenine pathway produces physiologically active metabolites which have been shown to be altered under conditions of increased adiposity and dysglycemia. There is now evidence demonstrating some environmental xenobiotics, known to affect glucose and lipid homeostasis, can also alter serotonin production and key components of the kynurenine pathway. Recent evidence suggests that exposure to compounds present in petroleum and wastewaters from oil and gas extraction sites can impact endocrine signaling and result in aberrant lipid accumulation and altered glycemic control. However, whether any of these changes can be causally ascribed to altered serotonin synthesis/signaling or tryptophan metabolism remains unknown. The goal of this study was to determine the effects of exposure to naphthenic acid (NA), a key toxicant found in wastewater from bitumen (thick crude oil present in oil sands deposits) extraction on the enzymes involved in tryptophan metabolism and serotonin production. Methods: McA-RH7777 rat hepatoma cells, were exposed to a technical NA mixture for 48 hours at concentrations within the reported range of NA found in wastewaters from oil extraction. We assessed mRNA expression for key rate-limiting enzymes involved in tryptophan metabolism that lead to either serotonin [Tph1] and/or kynurenine [Ido2 and Tdo2] production, as well as downstream enzymes in the kynurenine pathway [Afmid, Kyat1, Aadat, Kyat3, Kmo, Haao, Acmsd, Qprt]. We also examined the effects of NA on prostaglandin synthesis [Ptgs1, Ptgs2, Ptges] and signalling [Ptger2, Ptger4] as prostaglandins have been shown to be induced by serotonin and are linked to hepatic fat accumulation. Results: NA treatment significantly increased Tph1 and Ido2 expression; this occurred in association with a significant increase in the expression of the inducible prostaglandin synthase Ptgs2 (COX-2), prostaglandin E synthase Ptges, and prostaglandin receptors Ptger2 and Ptger4. Acmsd was the only downstream enzyme in the kynurenine pathway that was significantly altered by NA treatment. Conclusion: These results provide proof-of-concept that compounds associated with oil sands extraction have the potential to perturb key components of serotonin synthesis (Tph1) and tryptophan metabolism (Ido2, Acmsd). Furthermore, we found that the increase in Tph1 expression paralleled expression of Ptgs2. As increased prostaglandin production has been reported in association with nonalcoholic steatohepatitis, these data provide a potential mechanism by which exposure to NA and other petroleum-based compounds may increase the risk of metabolic disease.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.005
GPT teacher head0.226
Teacher spread0.222 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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