Evidence map›Paper›PMID 39452573›Full record

ArticleJournal of personalized medicine2024

Associations of Amino Acids with the Risk of Prediabetes: A Case-Control Study from Kazakhstan.

Alma Nurtazina, Ivan Voitsekhovskiy, Bakyt Kanapiyanov, Maxat Toishimanov, Daulet Dautov, Kairat Karibayev, Yerbol Smail, Dana Kozhakhmetova, Altay Dyussupov

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Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alma NurtazinaDepartment of Epidemiology and Biostatistics, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0009-0001-2904-6083
Ivan VoitsekhovskiyFaculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty 050038, Kazakhstan.
Bakyt KanapiyanovDepartment of Propaedeutics of Internal Diseases, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0002-5457-8583
Maxat ToishimanovFood and Environment Safety Laboratory, Kazakstan-Japan Innovative Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.ORCID 0000-0002-6070-4574
Daulet DautovDepartment of Propaedeutics of Internal Diseases, Asfendiyarov Kazakh National Medical University, Almaty 050012, Kazakhstan.
Kairat KaribayevCentral Clinical Hospital, Almaty 050040, Kazakhstan.ORCID 0000-0001-7577-4017
Yerbol SmailDepartment of Infectious Diseases, Dermatology and Immunology, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0003-3881-3747
Dana KozhakhmetovaDepartment of Internal Diseases, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0002-8367-1461
Altay DyussupovRector Office, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0003-0875-1020

Funding

Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan AP14871855
6 · The paper itself

Abstract

backgroundThe high global prevalence of prediabetes requires its early identification. Amino acids (AAs) have emerged as potential predictors of prediabetes. This study investigates the association between amino acids and prediabetes in the Kazakh population. MATERIALS AND

methodsIn this case-control study, serum AAs levels were measured using the Trace GC 1310 gas chromatography system coupled with the TSQ 8000 triple quadrupole mass spectrometer (Thermo Scientific, Austin, TX, USA) followed by silylation with the BSTFA + 1% TMCS derivatization method. Biochemical parameters, including total cholesterol, HDL-C, LDL-C, triglycerides, fasting glucose, HbA1c, and Creatinine, were assessed for each participant. Trained professionals conducted anthropometric and physical examinations (which included taking blood pressure and heart rate measurements) and family history collection.

resultsA total of 112 Kazakh individuals with prediabetes and 55 without prediabetes, aged 36-65 years, were included in the study. Only Alanine and valine showed a significant association with prediabetes risk among the 13 AAs analyzed. Our findings revealed an inverse relationship between Alanine and Valine and prediabetes in individuals of Kazakh ethnicity.

conclusionA lower serum level of Alanine and Valine may serve as a predictive biomarker for prediabetes in the Kazakh population.

Indexed as

alanineamino acidsKazakh populationprediabetespredictionvaline

Identifiers

PMID39452573
PMCPMC11509736

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