Evidence map›Paper›PMID 39636755›Full record

ArticleBiomolecules & biomedicine2025

The association between plasma levels of Sestrin2 and risk factors of cardiovascular diseases in healthy and diabetic adults: A study of Qatar Biobank data.

Shahenda Abdelsalam, Muhammad Ammar Zahid, Hicham Raïq, Hanan Abunada, Ahad Elsayed, Aijaz Parray, Abdelali Agouni

Abstract read
In one paragraph

Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shahenda AbdelsalamDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
Muhammad Ammar ZahidDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
Hicham RaïqDepartment of Social Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar.
Hanan AbunadaOffice of Vice President for Medical & Health Sciences, QU Health, Qatar University, Doha, Qatar.
Ahad ElsayedDepartment of Social Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar.
Aijaz ParrayThe Neuroscience Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Abdelali AgouniDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the association between serum Sestrin2 (SESN2) levels and cardiovascular disease (CVD) risk factors in healthy and diabetic adults, using data from the Qatar Biobank (QBB). A total of 844 participants were included, with 518 in the diabetic cohort and 326 in the healthy cohort. Clinical characteristics, cardiometabolic markers, and SESN2 levels were measured, and binomial logistic regression analyses were conducted to assess the associations between SESN2 and various health indices. Diabetic patients had significantly lower SESN2 levels compared to healthy controls (5.49 ± 5.94 vs 8.25 ± 7.57 ng/mL, P < 0.001). A significant negative correlation was observed between SESN2 and HbA1c (-0.19, P = 0.0006), insulin (-0.19, P = 0.0006), HOMA-IR (-0.17, P = 0.0024), C-peptide (-0.18, P = 0.0012), triglycerides (TG)/HDL ratio (-0.12, P = 0.0283), and the pulsatility index (PI) (-0.15, P = 0.006). In healthy individuals, higher SESN2 levels were associated with lower odds of elevated HbA1c (adjusted odds ratio [AOR] = 0.33, P = 0.00), insulin (AOR = 0.23, P = 0.00), HOMA-IR (AOR = 0.58, P = 0.06), C-peptide (AOR = 0.56, P = 0.04), and TG (AOR = 0.37, P = 0.03). In contrast, diabetic patients showed a positive correlation between SESN2 and insulin (0.15, P = 0.0005), HOMA-IR (0.11, P = 0.0106), and C-peptide (0.12, P = 0.0048). Participants in the highest SESN2 tertile had increased risks for high BMI (AOR = 1.96, P = 0.05), high TG (AOR = 1.57, P = 0.04), high NT-proBNP (AOR = 7.27, P = 0.01), and high fibrinogen (AOR = 1.92, P = 0.03). These findings suggest that while high SESN2 levels are cardioprotective in healthy individuals, they may indicate higher cellular stress in diabetics. Determining optimal SESN2 levels could help assess CVD risk, particularly in diabetic patients.

Indexed as

Cardiovascular DiseasesDiabetes MellitusNuclear ProteinsAdultBiological Specimen BanksBiomarkersCase-Control StudiesFemaleGlycated HemoglobinHumansInsulinInsulin ResistanceMaleMiddle AgedQatarRisk FactorsBiomarkersGlycated HemoglobinInsulinNuclear ProteinsSESN2 protein, humanSestrins

Identifiers

PMID39636755
PMCPMC12097390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.