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Biology subjects

Sandhu, J. K.

Publications and source records attributed to Sandhu, J. K..

5 recordsLinked to original sources

ASC specks and α-synuclein amplify microglial NLRP3 inflammasome activation and co-localize with Lewy body pathology

Neuroinflammation is a hallmark of several chronic neurodegenerative disorders, including Parkinson's disease (PD) and other synucleinopathies, and is closely associated with microglial activation. The inflammasome adaptor protein apoptosis-associated speck-like protein containing a caspase activation and recruitment domain (ASC) undergoes oligomerization upon inflammasome activation, resulting in the formation of ASC specks. These structures are recognized by microglia as damage-associated molecular patterns (DAMPs), thereby promoting inflammatory signaling. Recent studies have demonstrated that extracellular ASC specks associate with amyloid-{beta} (A{beta}), and that uptake of ASC-A{beta} composites by microglia amplifies pro-inflammatory responses. Although ASC specks have also been shown to potentiate -synuclein (Syn) preformed fibril-induced pathology, their interaction with monomeric Syn and their effects on inflammasome activation remain poorly understood. Here, we co-stimulated murine SIM-A9 microglia with ASC-Syn assemblies and evaluated their effects on NLRP3 inflammasome activation. Electron microscopy revealed a close association between ASC fibrils and Syn monomers. Exposure of microglia to ASC-Syn enhanced NLRP3 inflammasome activation, as evidenced by increased ASC speck formation, caspase-1 activation, and secretion of IL-1{beta} and IL-18, when compared to ASC or Syn alone. In addition, immunohistochemical analyses of post mortem brain tissue from patients with dementia with Lewy bodies demonstrated ASC expression in regions exhibiting Syn pathology and showed ASC co-localization with Syn within Lewy bodies. Collectively, these findings identify ASC-Syn assemblies as potent amplifiers of NLRP3 inflammasome signaling and suggest a mechanism through which they may contribute to sustained neuroinflammation in synucleinopathies.

neuroscience↗

Extracellular vesicles derived from cells overexpressing HGSNAT rescue defects in Mucopolysaccharidosis IIIC neurons

Mucopolysaccharidosis III type C (MPS IIIC) is a rare neurological lysosomal storage disorder caused by genetic deficiency of the lysosomal membrane enzyme, heparan--glucosaminide N-acetyltransferase (HGSNAT). To assess the feasibility of therapeutic strategies based on cross-correction of neurons by HGSNAT secreted from transplanted cells overexpressing the enzyme, we generated induced cortical neurons (iCN) from induced pluripotent stem cells (iPSCs) derived from MPS IIIC patients. The neurons were treated with extracellular vesicles (EV) purified from the culture medium conditioned by human endothelial cells transduced with a lentiviral vector encoding EGFP-tagged HGSNAT (LV-HGSNAT-EGFP). The isolated EV showed supraphysiologic HGSNAT activity levels and efficiently delivered the enzyme to the lysosomes of MPS IIIC iCN reducing lysosomal size and restoring normal synaptic protein levels. EV-mediated delivery of HGSNAT to neurons was further confirmed by the analysis of MPS IIIC iCN either co-cultured with iPSC-derived MPS IIIC microglia (iMGL) transduced with LV-HGSNAT-EGFP or treated with the iMGL conditioned medium. MPS IIIC iCN co-cultured with iMGL overexpressing HGSNAT achieved a complete phenotypic rescue, including normalization of lysosomal size, and the levels of heparan sulfate, GM2-ganglioside, synaptic proteins and brain-derived neurotropic factor. Treatment of MPS IIIC iCNs with conditioned medium led to a partial defects correction. Our findings reveal the translational potential of EV-mediated enzyme delivery in MPS IIIC patients treated with LV-mediated haematopoietic progenitor stem cell gene therapy.

biochemistry↗

Proteomic analysis of extracellular vesicles released from endothelial cells in vitro reveals increased levels of E-selectin and dual specificity phosphatase 7 as a potential marker of TNFα-mediated apoptosis

Proteins can be actively packaged into extracellular vesicles (EVs) through mechanisms dependent on the stimulus that activated the cells. Identifying proteins released in endothelial EVs in response to stimuli relevant to cardiovascular disease (CVD) may therefore reveal potential biomarkers that provide information about the vascular endothelium. This study aimed to identify differentially expressed proteins in EVs released from human umbilical vein endothelial cells (HUVEC) in response to stimuli relevant to vascular endothelium activation. HUVEC were stimulated with TNF (10 ng/mL) or oxLDL (10 {micro}g/mL). Apoptosis was assessed using a flow cytometric DNA fragmentation protocol and caspase-3/7 activity assay. Size distributions of EVs were examined by nanoparticle tracking analysis. Isolated EVs were examined using tandem liquid-chromatography-mass spectrometry (LC-MS/MS). While treatment of HUVECs with TNF or oxLDL resulted in non-significant elevations in levels of EVs, only TNF increased apoptosis. Mass spectrometry quantified 1355 proteins and revealed significant differences in the proteome of EVs from TNF-treated HUVEC compared to EVs from oxLDL-treated or untreated cells. Several candidate biomarkers were significantly and differentially expressed in response to TNF, including E-selectin and dual specificity phosphatase 7. This study further associated E-selectin on endothelial-derived EVs with endothelial apoptosis and may offer a biomarker of endothelial damage in patients with CVD.

cell biology↗

Mapping relationships between glutathione and SLC25 transporters in cancers using hybrid machine learning models

BackgroundAlterations of metabolism, including changes in mitochondrial and glutathione (GSH) metabolism, are a well appreciated hallmark of many cancers. Mitochondrial GSH (mGSH) transport is a poorly characterized aspect of GSH metabolism, which we investigate in the context of cancer. Existing functional annotation approaches from machine (ML) or deep learning (DL) models based only on protein sequences are unable to annotate functions in biological contexts, meaning new approaches must be developed for this task. ResultsWe develop a flexible ML framework for functional annotation from diverse feature data. This hybrid approach leverages cancer cell line multi-omics data and other biological knowledge data as features, to uncover potential genes involved in mGSH metabolism and membrane transport in cancers. This framework achieves an average AUROC across functional annotation tasks of 0.900 and can be effectively applied to annotate a range of biological functions. For our application, classification models predict the known mGSH transporter SLC25A39 but not SLC25A40 as being highly probably related to GSH metabolism in cancers. SLC25A24 and the orphan SLC25A43 are also predicted to be associated with mGSH metabolism by this approach and structural analysis of these proteins reveal similarities in potential substrate binding regions to the binding residues of SLC25A39. ConclusionThese findings have implications for a better understanding of cancer cell metabolism and novel therapeutic targets with respect to GSH metabolism through potential novel functional annotations of genes. The hybrid ML framework proposed here can be applied to other biological function classifications or multi-omics datasets to generate hypotheses in various biological contexts. Code and a tutorial for generating models and predictions in this framework are available at: https://github.com/lkenn012/mGSH_cancerClassifiers.

bioinformatics↗

Factors Driving Unique Urination Phenotypes of Male and Female 9-week-old C57BL/6J Mice

Laboratory mice are used to identify causes of urinary dysfunction including prostate-related mechanisms of Lower Urinary Tract Symptoms (LUTS). Effective use of mice for this purpose requires a clear understanding of molecular, cellular, anatomical, and endocrine contributions to voiding function. Whether the prostate influences baseline voiding function has not been specifically evaluated, in part because most methods that alter prostate mass also change circulating testosterone concentrations. We performed void spot assay and cystometry to establish a multi-parameter \"baseline\" of voiding function in intact male and female 9-week-old (adult) C57BL/6J mice. We then compared voiding function in intact male mice to that of castrate males, males (and females) treated with the steroid five alpha reductase inhibitor finasteride, or males harboring alleles (Pbsn4cre/+;R26RDta/+) that significantly reduce prostate lobe mass by depleting prostatic luminal epithelial cells. We evaluated aging-related changes in male urinary voiding. We also treated intact male, castrate male, and female mice with exogenous testosterone to determine the influence of androgen on voiding function. The three methods used to reduce prostate mass (castration, finasteride, Pbsn4cre/+; R26RDta/+) changed voiding function from baseline but in a nonuniform manner. Castration feminized some aspects of male urinary physiology (making them more like intact female) while exogenous testosterone masculinized some aspects of female urinary physiology (making them more like intact male). Our results provide evidence that circulating testosterone is responsible in part for baseline sex differences in C57BL/6J mouse voiding function while prostate lobe mass in young, healthy adult mice has a lesser influence.

physiology↗