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Background: A growing body of evidence supports the comorbidity between depression (DEP) and obesity, yet the genetic mechanisms underlying this association remain unclear. Our study explored the shared genetic architecture and causal associations of DEP with BMI.
Methods: We investigated the multigene overlap and genetic correlation between DEP (N > 1.3 million) and BMI (N = 806,834) based on genome-wide association studies (GWAS) and using the bivariate causal mixture model and linkage disequilibrium score regression (LDSC). The causal association was explored by bi-directional Mendelian randomization (MR). Common risk loci were identified through cross-trait meta-analyses. Stratified LDSC and multi-marker gene annotation analyses were applied to investigate single-nucleotide polymorphisms enrichment across tissue types, cell types, and functional categories. Finally, we explored shared functional genes by Summary Data-Based Mendelian Randomization (SMR) and further detected differential expression genes (DEG) in brain tissues of individuals with depression and obesity.
Results: We found a positive genetic correlation between DEP and BMI (r 0.19, P = 4.07 × 10), which was more evident in local genomic regions. Cross-trait meta-analyses identified 16 shared genetic loci, 5 of which were newly identified, and they had influence on both diseases in the same direction. MR analysis showed a bidirectional causal association between DEP and BMI, with comparable effect sizes estimated in both directions. Combined with gene expression information, we found that genetic correlations between DEP and BMI were enriched in 6 brain regions, predominantly in the nucleus accumbens and anterior cingulate cortex. Moreover, 6 specific cell types and 23 functional genes were found to have an impact on both DEP and BMI across the brain regions. Of which, NEGR1 was identified as the most significant functional gene and associated with DEP and BMI at the genome-wide significance level (P < 5 × 10). Compared with healthy controls, the expression levels of NEGR1 gene were significant lower in brain tissues of individuals with depression and obesity.
Conclusions: Our study reveals shared genetic basis underpinnings between DEP and BMI, including genetic correlations and common genes. These insights offer novel opportunities and avenues for future research into their comorbidities.
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http://dx.doi.org/10.1186/s12916-024-03681-9 | DOI Listing |
J Clin Endocrinol Metab
April 2025
Molecular Endocrinology Laboratory, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Objective: Muscle mass and function are impaired in T1D, however, the relevance to bone health is unknown. This study aimed to examine the relationship between muscle mass, muscle strength, and bone in adults with childhood onset of T1D.
Methods: This cross-sectional study population includes 111 Danish men and women with T1D onset before 18 years of age and 37 sex- and age-matched controls.
Acta Physiol (Oxf)
April 2025
Institute for Biogenesis, University of Hawaii, John A Burns School of Medicine, Honolulu, Hawaii, USA.
Aim: Silencing of DEP-domain containing mTOR-interacting protein (DEPTOR), an endogenous inhibitor of the mammalian target of rapamycin (mTOR) pathway, increases mTOR signaling and System A/L amino acid transport activity in cultured primary human trophoblast cells. However, there is no evidence supporting the regulatory role of DEPTOR signaling in placental function in vivo. We hypothesized that trophoblast-specific Deptor knockdown in mice increases trophoblast mTOR signaling, amino acid transport, and enhances fetal growth.
View Article and Find Full Text PDFAIDS
March 2025
Therapeutic and Vaccine Research Program, The Kirby Institute, University of New South Wales Sydney, NSW, Australia.
Objective: Data on the impact of coronavirus disease 2019 (COVID-19) in people with HIV (PWH) are lacking in resource-constrained settings. We utilized existing randomized clinical trials (RCTs) on antiretroviral therapies (ART) in HIV-1 infection to conduct a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serosurvey, between January and March 2021, while characterizing participants' features.
Design: Cross-sectional serosurvey.
EBioMedicine
November 2024
Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands; Department of Medical Genetics, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Background: Insights into the mechanisms driving metabolic dysfunction-associated steatotic liver disease (MASLD) in people living with HIV (PLHIV) remain limited. Plasma proteomics holds promise for biomarker discovery and the elucidation of biological mechanisms.
Methods: We performed cross-sectional analyses on data from 1036 virally suppressed PLHIV using antiretroviral treatment (ART) from the Dutch multi-centre 2000HIV cohort.
BMC Med
October 2024
Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong, China.