Biology subjects

Yadav, Y.

Publications and source records attributed to Yadav, Y..

7 recordsLinked to original sources

bioRxiv2025

Node persistence from topological data analysis reveals changes in brain functional connectivity

Large-scale analyses of brain functional connectivity can uncover disruptions in regional activity and connectivity that are commonly associated with neurological disorders or cognitive decline associated with healthy aging. In our study, we employ persistent homology (PH), a prominent tool in topological data analysis (TDA), to investigate changes in resting-state functional connectivity in healthy aging and autism spectrum disorder (ASD). We analyze functional connectivity changes across three distinct scales: (a) global scale (brain-wide changes), (b) mesoscopic scale (resting-state network-level changes), and (c) local scale (region-level changes). At the local scale, we introduce node persistence, a novel and scalable PH-based measure that detects brain regions with significant differences in healthy aging or ASD. Notably, these regions overlap with regions whose non-invasive stimulation improves motor function in the elderly or alleviates ASD symptoms, suggesting the utility of node persistence in identifying clinically relevant brain regions affected by aging and ASD.

neuroscience↗

bioRxiv2022

Discrete Ricci curvatures capture age-related changes in human brain functional connectivity networks

Geometry-inspired notions of discrete Ricci curvature have been successfully used as markers of disrupted brain connectivity in neuropsychiatric disorders, but their ability to characterize age-related changes in functional connectivity is unexplored. Here, we apply Forman-Ricci curvature and Ollivier-Ricci curvature to compare functional connectivity networks of healthy young and older subjects from the Max Planck Institute Leipzig Study for Mind-Body-Emotion Interactions (MPI-LEMON) dataset (N = 225). We found that both Forman-Ricci curvature and Ollivier-Ricci curvature can capture whole-brain and region-level age-related differences in functional connectivity. Meta-analysis decoding demonstrated that those brain regions with age-related curvature differences were associated with cognitive domains known to manifest age-related changes - movement, affective processing and somatosensory processing. Moreover, the curvature values of some brain regions showing age-related differences exhibited correlations with behavioral scores of affective processing. Finally, we found an overlap between brain regions showing age-related curvature differences and those brain regions whose non-invasive stimulation resulted in improved movement performance in older adults. These results suggest that both Forman-Ricci curvature and Ollivier-Ricci curvature correctly identify brain regions that are known to be functionally or clinically relevant. Our results add to a growing body of evidence demonstrating the sensitivity of discrete Ricci curvature measures to changes in the organisation of functional connectivity networks, both in health and disease.

neuroscience↗

bioRxiv2022

Composition structures and biologically meaningful logics: plausibility and relevance in bipartite models of gene regulation

Boolean network models have widely been used to study the dynamics of gene regulatory networks. However, such models are coarse-grained to an extent that they abstract away molecular specificities of gene regulation. In contrast, bipartite Boolean network models of gene regulation explicitly distinguish genes from transcription factors (TFs). In such models, multiple TFs may simultaneously contribute to the regulation of a gene by forming heteromeric complexes. The formation of heteromeric complexes gives rise to composition structures in the corresponding bipartite network. Remarkably, composition structures can severely restrict the number of Boolean functions (BFs) that can be assigned to a gene. The introduction of bipartite Boolean network models is relatively recent, and so far an empirical investigation of their biological plausibility is lacking. Here, we estimate the prevalence of composition structures arising through heteromeric complexes in Homo sapiens. Moreover, we present an additional mechanism by which composition structures arise as a result of multiple TFs binding to the cis-regulatory regions of a gene and we provide empirical support for this mechanism. Next, we compare the restriction in BFs imposed by composition structures and by biologically meaningful properties. We find that two types of minimally complex BFs, namely nested canalyzing functions (NCFs) and read-once functions (RoFs), are more restrictive than composition structures. Finally, using a compiled dataset of 2687 BFs from published models, we find that composition structures are highly enriched in real biological networks, but that this enrichment is most likely driven by NCFs and RoFs.

systems biology↗

bioRxiv2021

Graph Ricci Curvatures Reveal Disease-related Changes in Autism Spectrum Disorder

While standard graph-theoretic measures have been widely used to characterize atypical resting-state functional connectivity in autism spectrum disorder (ASD), geometry-inspired network measures have not been applied. In this study, we apply Forman-Ricci and Ollivier-Ricci curvatures to compare networks of ASD and typically developing individuals (N = 1112) from the Autism Brain Imaging Data Exchange I (ABIDE-I) dataset. We find brain-wide and region-specific ASD-related differences for both Forman-Ricci and Ollivier-Ricci curvatures, with region-specific differences concentrated in Default Mode, Somatomotor and Ventral Attention networks for Forman-Ricci curvature. We use meta-analysis decoding to demonstrate that brain regions with curvature differences are associated to those cognitive domains known to be impaired in ASD. Further, we show that brain regions with curvature differences overlap with those brain regions whose non-invasive stimulation improves ASD-related symptoms. These results suggest the utility of graph Ricci curvatures in characterizing atypical connectivity of clinically relevant regions in ASD and other neurodevelopmental disorders.

neuroscience↗

bioRxiv2021

Fibrinogen and Complement Factor H are promising CSF protein biomarker(s) for Parkinson's disease with cognitive impairment- A Proteomics and ELISA based study

Cognitive impairment is a debilitating non-motor symptom of Parkinsons disease (PD). The diagnosis of PD with cognitive impairment (PDCI) is essentially through clinical and neuropsychological examinations. There is an emerging need to identify biomarker(s) to foresee cognitive decline in PD patients, at an early stage. We performed label-free unbiased nontargeted proteomics (Q-TOF LC/MS-MS) in CSF of non-neurological control (NNC); PDCI; PD and normal pressure hydrocephalus (NPH), followed by targeted ELISA for validation. The diagnosis was confirmed by neuropsychological and MRI assessments prior to CSF collection. Of the 282 proteins identified by mass spectrometry, 42 were differentially altered in PD, PDCI and NPH. Further, 28 proteins were altered in PDCI and 25 in NPH. An interesting overlap of certain proteins was noted both in PDCI and NPH. Five significantly upregulated proteins in PDCI were fibrinogen, gelsolin, complement factor-H, apolipoprotein A-IV and apolipoprotein A-I. Whereas carnosine dipeptidase 1, carboxypeptidase E, dickkpof 3 and secretogranin 3 precursor proteins were down-regulated. NPH also had few uniquely altered proteins viz. insulin-like growth factor-binding protein, ceruloplasmin, -1 antitrypsin, VGF nerve growth factor, neural cell adhesion molecule L1 like protein. Interestingly, the ELISA-derived protein concentrations correlated well with the neuropsychological scores of certain cognitive domains. Executive function was affected both in PDCI and NPH. In PD, Wisconsin card sorting test (WCST) percentile correlated positively with ApoA-IV and negatively with the ratio of ApoAI: ApoA-IV. Thus assessment of a battery of proteins like fibrinogen--chain, CFAH and ApoAI: ApoA-IV ratio alongside neuropsychological could be reliable biomarkers to distinguish PDCI and NPH.

neuroscience↗

bioRxiv2019

Expanding AHL Acylases Horizon - Insights From Structural Analysis of Choloylglycine Hydrolases From Shewanella lohica PV-4

Acyl homoserine lactone acylases are quorum quenching enzymes that degrade the Gram negative bacterial autoinducer N-acyl homoserine lactone (AHL) and belong to the Ntn-hydrolases superfamily of enzymes. Recent findings reported AHL acylase activity of pencillin V acylases (PVA) which, alongside bile salt hydrolases, are members of the cholyolglycine hydrolase (CGH) family of the Ntn-hydrolases superfamily. The present study reports the unique activity profile of two CGHs from a marine bacterium Shewanella loihica-PV4, designated here as SlCGH1 and SlCGH2, including the structural analysis of SlCGH1. Both the enzymes exhibit AHL acylase activity while unexpectedly being inactive on standard CGH substrates PenV and bile salts. SlCGH1 differs from known homotetrameric CGHs in being a homodimer displaying a reduced active site volume attributed to loop orientation, which subsequently directs the substrate specificity. Moreover a ligand bound complex structure revealed an unusual bent conformation of the saturated acyl chain bound to the active site and also predicts a single oxyanion hole forming residue during catalysis instead of the usual two residues. Phylogenetic analysis reveals SlCGH1 homologs cluster separate from reported CGHs and AHL acylases. On the whole, SlCGH1 could represent a functionally distinct new sub-class of CGH as an adaptation to the marine environment and its structure could provide the structural framework for understanding such a novel subclass. We also make a modest proposal of a probable evolutionary link between AHL acylases and {beta} lactam acylases based on the overlap in activity and structural features.\n\nSignificanceCross-reactivity between AHL acylases and b lactam acylases has been recently identified giving us a vivid glimpse of a possible evolutionary relationship between the phenomena of quorum sensing and antibiotic resistance. We report here the first AHL acylase of the CGH structural framework. SlCGH1 from Shewanella loihica PV-4 is also the first report of a marine CGH with a unique activity and a new structural subclass of CGH family with AHL acylase activity. This finding highlights the vast diversity of AHL acylases and by extension quorum quenching enzymes as adaptation to different habitats. The results from this study also bolster the link between signal molecules and antibiotics, extending our understanding of the inadequately understood physiological roles of b-lactam acylases.

biochemistry↗

bioRxiv2019

Dissection of Catalytic Site in Crucial Gut Microbiome Enzyme: Bile Salt Hydrolase

Bile Salt Hydrolases (BSHs) are enzymes from enteric bacteria that catalyze the hydrolysis of Bile Acids and consequently promote the reduction of cholesterol level in the mammalian body. Out of several reported BSHs, the Enterococcus faecalis BSH (EfBSH) has been reported to have the highest enzymatic activity. Herein, we have investigated the mechanistic details of the EfBSH activity. The study was carried out employing two mutants of EfBSH: E269A and R207A, which shows differential catalytic activity. The mutant E269A exhibits significant loss in the BSH activity with an increased affinity towards the substrate as compared to R207A mutant. Further, R207A was found to be involved in allostery with an increased EfBSH activity towards tauro-conjugated bile acids. The structural and electrostatic force analyses of the active sites of the E269A mutant and the wild type EfBSH (wt EfBSH) revealed that the interaction between Glu21 and Arg207 is the determining factor in maintaining the dynamic allostery and high activity of EfBSH.

biochemistry↗