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Biology subjects

Song, W.-L.

Publications and source records attributed to Song, W.-L..

2 recordsLinked to original sources

Exosomal MFGE8 from high glucose induced endothelial cells is involved in calcification/senescence of vascular smooth muscle cells

Vascular calcification/aging is a crucial feature of diabetic macro vasculopathy, resulting in serious cardiovascular diseases. The calcification/senescence of vascular smooth muscle cells (VSMCs) induced by hyperglycemia can cause diabetic vascular calcification/aging. However, the mechanism of VSMCs calcification/senescence involved in diabetic vascular calcification/aging remains unknown. The purpose of this study was to determine how the high glucose (HG) information in circulating blood is transmitted from vascular endothelial cells (ECs) to VSMCs, which are not contacted with blood directly. Exosomes have attracted much attention for their vital roles in regulating cell-to-cell communication. In this study, we found that milk fat globule epidermal growth factor 8 (MFGE8) was enriched in high glucose induced human umbilical vein endothelial cell exosomes (HG-HUVEC-Exo) and regulate VSMCs calcification/senescence, characterized by up-regulated expressions of alkaline phosphatase (ALP) and Runt-related transcription factor 2 (Runx2), as well as the increased mineralized nodules and senescence-associated {beta}-galactosidase (SA-{beta}-gal) positive cells. Upstream mechanism studies showed that sirtuin1 (SIRT1) was involved in VSMCs calcification/senescence by affecting the expression of MFGE8. We also found that inflammatory response mediated by IL-1{beta}, IL-6, and IL-8 was closely associated with MFGE8 and played a key role in regulating HG-HUVEC-Exo-induced VSMCs calcification/senescence. These findings provide a new insight into the mechanism of exosomal MFGE8 as a potential preventive and therapeutic target for the intervention of diabetic vascular calcification/aging.

molecular biology↗

Genetic risk for major depressive disorder and loneliness in gender-specific associations with coronary artery disease

ImportanceEpidemiological evidence indicates that major depressive disorder (MDD) and loneliness both reduce life expectancies, but mechanisms underlying the excess morbidity are unclear. Electronic health records (EHRs) linked to genetic data offer new opportunities to address this knowledge gap.\n\nObjectiveTo determine the medical morbidity pattern associated with genetic risk factors for MDD and loneliness, two common psychological traits with adverse health outcomes.\n\nDesignPhenome-wide association study using EHRs spanning 1990 to 2017 from the Vanderbilt University Medical Center biobank, BioVU. Top associations with coronary artery disease (CAD) were replicated in the Atherosclerosis Risk in Communities (ARIC) cohort.\n\nSettingHospital-based EHR study, with replication in a population-based cohort study.\n\nParticipants18,385 genotyped adult patients in BioVU. Replication in ARIC included 7,197 genotyped participants. All participants were of European ancestry.\n\nExposuresPolygenic scores for MDD and loneliness were developed for each individual using previously published meta-GWAS summary statistics.\n\nMain Outcomes and MeasuresThe phenome-wide association study included 882 clinical diagnoses ascertained via billing codes in the EHR. ARIC included 1598 incident CAD cases.\n\nResultsBioVU patients had a median EHR length of 9.91 years. In the phenome-wide association study, polygenic scores for MDD and loneliness were significantly associated with psychiatric and cardiac phenotypes. Targeted analyses of CAD in 3,893 cases and 4,197 controls in BioVU found odds ratios of 1.11 (95% CI, 1.04-1.18; P=8.43x10-4) and 1.13 (95% CI, 1.07-1.20; P=4.51x10-6) per 1-SD increase in the polygenic scores for MDD and loneliness, respectively. Comparable hazard ratios in ARIC were 1.07 (95% CI, 0.99-1.14; P=0.07) and 1.07 (1.01-1.15; P=0.03). Across both studies, the increased risk persisted in women after adjusting for multiple conventional risk factors, a polygenic score for CAD, and psychiatric symptoms (available in BioVU). Controlling for genetic risk factors shared between MDD and loneliness, the polygenic score for loneliness conditioned on MDD remained associated with CAD risk, but the polygenic score for MDD conditioned on loneliness did not.\n\nConclusions and RelevanceGenetic risk factors for MDD and loneliness act pleiotropically to increase CAD risk in women. Continued research into the biological and clinical connections between the heart and mind is warranted.

genetics↗