Biomedical subjects

Mohsen Ghanbari

Publications and source records attributed to Mohsen Ghanbari.

4 recordsLinked to original sources

PubMed2026

Determinants of pro- and anti-inflammatory cytokine profiles across populations.

BACKGROUND: Cytokine dysregulation contributes to chronic inflammation and immune-mediated diseases, yet population-level determinants of pro- and anti-inflammatory cytokines remain poorly characterized. We aimed to identify demographic and lifestyle determinants of plasma cytokine levels and evaluate reproducibility of inflammatory patterns across European populations. METHODS: In the population-based Rotterdam Study cohort (n = 3,456; mean age 57 years; 56% female), we examined associations between plasma levels of nine cytokines (Olink Inflammation Panel) and age, sex, smoking, body mass index (BMI), and alcohol consumption. Linear and non-linear regression models were applied, with stratified analyses where appropriate. Cytokine clustering was assessed using principal component analysis (PCA). Findings were replicated in two independent European cohorts using identical protocols. Additionally, associations between raw IL-6 levels and determinants were meta-analyzed across the two replication cohorts (total n > 4,000). RESULTS: Plasma IL-10, IL-6, IL-17 A, TNF, IFN-γ, IL-18, and IL-17 C increased with age; IL-18 and IL-17 C followed non-linear trends (P < 0.01). Females had lower IL-18 and IL-17 C levels (β: - 0.41 and - 0.32, respectively) but higher IFN-γ (β: 0.17). Smoking was associated with higher IL-10, IL-6, IL-18, and IL-17 C (β range: 0.10-0.54) and lower IFN-γ (β: -0.15) and IL-13 (β: - 0.10). BMI was positively associated with IL-6, IL-18, TNF, and IL-17 A levels (P < 0.05), and inversely with IL-10 (P < 0.001). Sex-specific associations were observed for alcohol use. PCA revealed stable pro-inflammatory cytokine clustering, consistent across cohorts. Replication in analyses confirmed a robust, shared pro-inflammatory signature, and meta-analysis supported consistent associations with older age, higher BMI, and current smoking. CONCLUSIONS: Older age, higher BMI, male sex, and current smoking are consistent and reproducible determinants of inflammatory cytokine profiles across European populations. These findings support the use of cytokine profiling in enhancing risk stratification for inflammation-related diseases.

Humans↗

PubMed2025

Genome-wide gene-sleep interaction study identifies novel lipid loci in 732,564 participants.

BACKGROUND AND AIMS: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. METHODS: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87 % European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20 % of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for one-degree of freedom tests of interaction and two-degree of freedom joint tests of the SNP-main and -interaction effect on lipid levels. RESULTS: The one-degree of freedom variant-sleep interaction test identified 10 novel loci (Pint<5.0e-9), and we additionally identify 7 loci within the two-degree of freedom analyses (Pjoint<5.0e-9 in combination with Pint<6.6e-6). Multiple loci, including those mapped to APSH (target for aspartic and succinic acid) and SLC8A1 showed biological plausibility and druggability potential based on literature. CONCLUSIONS: Collectively, the 17 (9 with short and 8 with long sleep) loci provided evidence into the biomolecular mechanisms underlying sleep-associated lipid changes, including potential involvement of the vitamin D receptor pathway. Collectively, these findings may contribute developing novel interventions for treating dyslipidemia in people with sleep disturbances.

Humans↗

PubMed2025

Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.

Heart failure (HF) is a major contributor to global morbidity and mortality. While distinct clinical subtypes, defined by etiology and left ventricular ejection fraction, are well recognized, their genetic determinants remain inadequately understood. In this study, we report a genome-wide association study of HF and its subtypes in a sample of 1.9 million individuals. A total of 153,174 individuals had HF, of whom 44,012 had a nonischemic etiology (ni-HF). A subset of patients with ni-HF were stratified based on left ventricular systolic function, where data were available, identifying 5,406 individuals with reduced ejection fraction and 3,841 with preserved ejection fraction. We identify 66 genetic loci associated with HF and its subtypes, 37 of which have not previously been reported. Using functionally informed gene prioritization methods, we predict effector genes for each identified locus, and map these to etiologic disease clusters through phenome-wide association analysis, network analysis and colocalization. Through heritability enrichment analysis, we highlight the role of extracardiac tissues in disease etiology. We then examine the differential associations of upstream risk factors with HF subtypes using Mendelian randomization. These findings extend our understanding of the mechanisms underlying HF etiology and may inform future approaches to prevention and treatment.

Humans↗

PubMed2024

Association analysis between an epigenetic alcohol risk score and blood pressure.

BACKGROUND: Epigenome-wide association studies have identified multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. This study aimed to test the hypothesis that an alcohol consumption epigenetic risk score (ERS) is associated with blood pressure (BP) traits. RESULTS: We implemented an ERS based on a previously reported epigenetic signature of 144 alcohol-associated CpGs in meta-analysis of participants of European ancestry. We found a one-unit increment of ERS was associated with eleven drinks of alcohol consumed per day, on average, across several cohorts (p < 0.0001). We examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with BP levels, i.e., a one-unit increase in ERS was associated with 0.74 mm Hg (p = 0.002) higher SBP and 0.50 mm Hg (p = 0.0006) higher DBP, but not with HTN. Longitudinal analyses in FHS (n = 3260) and five independent external cohorts (n = 4021) showed that the baseline ERS was not associated with a change in BP over time or with incident HTN. CONCLUSIONS: Our findings demonstrate that the ERS has potential clinical utility in assessing lifestyle factors related to cardiovascular risk, especially when self-reported behavioral data (e.g., alcohol consumption) are unreliable or unavailable.

Humans↗