Biology subjects

Lenin, R.

Publications and source records attributed to Lenin, R..

2 recordsLinked to original sources

bioRxiv2024

Mitochondria-Associated Membranes Are Not Altered In Immune Cells In T2D

Metabolism research is increasingly recognizing the contributions of organelle crosstalk to metabolic regulation. Mitochondria-associated membranes (MAMs), which are structures connecting the mitochondria and endoplasmic reticulum (ER), are critical in a myriad of cellular functions linked to cellular metabolism. MAMs control calcium signaling, mitochondrial transport, redox balance, protein folding/degradation, and in some studies, metabolic health. The possibility that MAMs drive changes in cellular function in individuals with Type 2 Diabetes (T2D) is controversial. Although disruptions in MAMs that change the distance between the mitochondria and ER, MAM protein composition, or disrupt downstream signaling, can perpetuate inflammation, one key trait of T2D. However, the full scope of this structures role in immune cell health and thus T2D-associated inflammation remains unknown. We show that human immune cell MAM proteins and their associated functions are not altered by T2D and thus unlikely to contribute to metaflammation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=92 SRC="FIGDIR/small/586170v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1a281f1org.highwire.dtl.DTLVardef@1025corg.highwire.dtl.DTLVardef@42259eorg.highwire.dtl.DTLVardef@b3bbb1_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2022

Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains

With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrained independent component analysis (ICA) that is used to link brain network abnormalities among different datasets, studies, and disorders while leveraging subject-specific networks. In this study, we implement the neuromark pipeline in COINSTAC, an open-source neuroimaging framework for collaborative/decentralized analysis. Decentralized analysis of nearly 2000 resting-state functional magnetic resonance imaging datasets collected at different sites across two cohorts and co-located in different countries was performed to study the resting brain functional network connectivity changes in adolescents who smoke and consume alcohol. Results showed hypoconnectivity across the majority of networks including sensory, default mode, and subcortical domains, more for alcohol than smoking, and decreased low frequency power. These findings suggest that global reduced synchronization is associated with both tobacco and alcohol use. This work demonstrates the utility and incentives associated with large-scale decentralized collaborations spanning multiple sites.

bioinformatics↗