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Chaudhry, A.

Publications and source records attributed to Chaudhry, A..

6 recordsLinked to original sources

Na/K-ATPase Signaling in Adipocytes Promotes Atherosclerosis

BACKGROUNDAdipocyte dysfunction is closely associated with oxidative stress and chronic inflammation, which contribute to systemic metabolic disturbances and atherosclerosis. We previously identified Na/K-ATPase (NKA) 1 as a signal transducer that activates Src family kinases and promotes oxidative stress and inflammation in various cell types, including adipocytes and macrophages. NaKtide, a peptide inhibitor of NKA signaling, has been shown to reduce systemic oxidative stress and inflammation in vivo. Here, we investigated the role of adipocyte-specific NKA signaling in atherosclerosis. METHODSAdipocyte-specific NaKtide (Adipo-NaKtide) was delivered to Apoe-/- mice using a lentiviral vector under the adiponectin promoter. The mice were then fed a Western Diet (WD) for 12 weeks to induce atherosclerosis and then assessed for atherosclerotic plaque burden the aortic arch and at the level of the aortic sinus. Inflammatory and oxidative stress markers were analyzed in adipose tissue and plasma. RESULTSAdipo-NaKtide reduced atherosclerotic plaque area by 67% in the aortic arch and 47% in the aortic sinus. CD68+ macrophage and -SMA+ smooth muscle cell content in the aortic sinus were decreased by 45% and 53%, respectively. These vascular improvements were accompanied by dampened adipose tissue inflammation and oxidative stress, improved glucose tolerance, and lowered systemic inflammation. CONCLUSIONSThese findings highlight a critical contributing role for adipocyte NKA signaling in atherosclerosis, suggesting an important endocrine and/or paracrine influence of adipose tissue on large artery atherogenesis, and supporting the therapeutic potential of targeting NKA in cardiometabolic disease.

molecular biology↗

Basic-Leucine-Zipper Transcription Factors Regulate Selective Molecular Phenotypes in Regulatory T Cells During IL-2-Induced Activation

Regulatory T (Treg) cells have long been recognized as modulators of immunological tolerance and homeostasis. Previously, we used scRNA-seq to reveal significant Treg heterogeneity in response to IL-2-induced activation. Herein, we leveraged enrichment analyses, as well as bulk and single-nucleus multi-omics in splenic and lung Tregs, to uncover and confirm the importance of transcription factors (TFs) and chromatin remodeling in Treg activation. Multiple bZIP TF motifs showed increased chromatin accessibility post IL-2 treatment, with correlated transcriptional changes resembling Th1 and Th2 molecular phenotypes, further confirmed by spatial ATAC-seq. By combining gene perturbation and CUT&RUN assays before and after Treg stimulation, we show that bZIP TFs, such as BATF and BACH1, are critical to IL-2-induced Treg activation, coordinating epigenetic and transcriptional changes that selectively drive T-helper phenotypes and metabolic pathways.

genomics↗

The structural influence of the oncogenic driver mutation N642H in the STAT5B SH2 domain

The point mutation N642H of the signal transducer and activator of transcription 5B (STAT5B) protein is associated with aggressive and drug-resistant forms of leukemia. This mutation is thought to promote cancer due to hyperactivation of STAT5B caused by increased stability of the active, parallel dimer state. However, the molecular mechanism leading to this stabilization is not well understood as there is currently no structure of the parallel dimer. To investigate the mutations mechanism of action, we conducted extensive all-atom molecular dynamics simula-tions of multiple oligomeric forms of both STAT5B and STAT5BN642H, including a model for the parallel dimer. The N642H mutation directly affects the hydrogen bonding network within the phosphotyrosine (pY)-binding pocket of the parallel dimer, enhancing the pY-binding in-teraction. The simulations indicate that apo STAT5B is highly flexible, exploring a diverse conformational space. In contrast, apo STAT5BN642H accesses two distinct conformational states, one of which resembles the conformation of the parallel dimer. The simulation predic-tions of the effects of the mutation on structure and dynamics are supported by the results of hydrogen-deuterium exchange (HDX) mass spectrometry measurements carried out on STAT5B and STAT5BN642H in which a phosphopeptide was used to mimic the effects of parallel dimer-ization on the SH2 domain. The molecular-level information uncovered in this work contributes to our understanding of STAT5B hyperactivation by the N642H mutation and could help pave the way for novel therapeutic strategies targeting this mutation.

biophysics↗

Transcription factor binding site divergence across maize inbred lines drives transcriptional and phenotypic variation

Regulatory elements are important constituents of plant genomes that have shaped ancient and modern crops. Their identification, function, and diversity in crop genomes however are poorly characterized, thus limiting our ability to harness their power for further agricultural advances using induced or natural variation. Here, we use DNA affinity purification-sequencing (DAP-seq) to map transcription factor (TF) binding events for 200 maize TFs belonging to 30 distinct families and heterodimer pairs in two distinct inbred lines historically used for maize hybrid plant production, providing empirical binding site annotation for 5.3% of the maize genome. TF binding site comparison in B73 and Mo17 inbreds reveals widespread differences, driven largely by structural variation, that correlate with gene expression changes. TF binding site presence-absence variation helps clarify complex QTL such as vgt1, an important determinant of maize flowering time, and DICE, a distal enhancer involved in herbivore resistance. Modification of TF binding regions via CRISPR-Cas9 mediated editing alters target gene expression and phenotype. Our functional catalog of maize TF binding events enables collective and comparative TF binding analysis, and highlights its value for agricultural improvement.

plant biology↗

Bcl-xL restricts transcriptional, morphological and functional decompensation of β-cell mitochondria under chronic glucose excess

In the progression of diabetes, pancreatic islet {beta}-cells respond to increased metabolic demand with functional compensation, followed by pathogenic decompensation of mitochondria-dependent insulin secretion. It is not clear what mechanisms drive, or control, mitochondrial decompensation. Here, we report that anti-apoptotic Bcl-xL maintains mitochondrial integrity in {beta}-cells under non-apoptotic levels of glucose stress. Prolonged glucose excess causes transcriptional reprogramming of glycolysis and {beta}-cell identity genes, while sensitizing glucose-stimulated Ca2+ signaling and insulin secretion. Deletion of Bcl-xL amplifies this insulin hypersecretion and increases mitochondrial fusion, mitochondrial volume, and oxygen consumption, whereas ATP-coupled respiration and mitochondrial hyperpolarization become impaired. Of note, Bcl-xL-deficient {beta}-cells have impaired Pgc-1 expression, and develop specific defects in the expression of Tfam, mitochondrial ribosomal genes, and OXPHOS components under glucose stress. Bcl-xL limits high glucose-induced mitochondrial ROS (mitoROS) levels and pharmacological normalization of mitoROS in Bcl-xL KO cells rescues glucose-induced defects in mitochondrial gene expression and changes to {beta}-cell identity. Our data identify mitoROS as a primary retrograde driver of transcriptional re-wiring in {beta}-cells exposed to excess glucose, and reveal Bcl-xL as an important safeguard against transcriptional and functional decompensation of {beta}-cell mitochondria. Bcl-xL and mitoROS may thus be viable targets to prevent early {beta}-cell dysfunction and the progression of diabetes.

cell biology↗

A pipeline for multidimensional confocal analysis of mitochondrial morphology, function and dynamics in pancreatic β-cells

Live-cell imaging of mitochondrial function and dynamics can provide vital insights into both physiology and pathophysiology, including of metabolic diseases like type 2 diabetes. However, without super-resolution microscopy and commercial analysis software it is challenging to accurately extract features from dense multi-layered mitochondrial networks, such as those in insulin-secreting pancreatic {beta}-cells. Motivated by this, we developed a comprehensive pipeline, and associated ImageJ plugin, that enables 2D/3D quantification of mitochondrial network morphology and dynamics in mouse {beta}-cells, and by extension other similarly challenging cell-types. The approach is based on standard confocal microscopy and shareware, making it widely accessible. The pipeline was validated using mitochondrial photo-labelling and unsupervised cluster analysis, and is capable of morphological and functional analyses on a per-organelle basis, including in 4D (xyzt). Overall, this tool offers a powerful framework for multiplexed analysis of mitochondrial state/function, and provides a valuable resource to accelerate mitochondrial research in health and disease.

cell biology↗