Biology subjects

Tandon, R.

Publications and source records attributed to Tandon, R..

17 recordsLinked to original sources

bioRxiv2026

Gut microbiota-derived indole-3 acetic acid mitigates key hallmarks of metabolic dysfunction-associated steatotic liver disease (MASLD) in an NLRP3-dependent manner in in vitro and diet-induced mouse models

BackgroundMetabolic-dysfunction associated steatotic liver disease(MASLD) is a global epidemic affecting >30 % global population with no approved therapies till date. Recent reports suggest that activation of NLRP3 inflammasome may be involved in the pathogenesis of MASLD. We, therefore, aimed to identify small molecule inhibitor(s) of NLRP3 inflammasome as a potential therapeutic strategy to manage MASLD and validate their efficacy using in vitro and in vivo models of MASLD. MethodologyWe screened an in-house library of natural products using an in vitro phenotypic assay and identified a gut microbiota derived metabolite of dietary Tryptophan; indole-3 acetic acid (I3A) for its ability to inhibit the levels of IL-1{beta} and IL-18, which are elevated as a result of activation of NLRP3 inflammasome in differentiated THP1 cells. Subsequently, we carried out several in vitro and in vivo studies to confirm the mechanism of action of I3A and its ability to mitigate the key hallmarks of MASLD ResultsOur in vitro data suggest that I3A is an inhibitor of NLRP3 inflammasome. I3A was also found to improve the blood glucose level, plasma lipid profile, hepatic fat, and liver function in high-fat-high-fructose diet induced model of MASLD using C57BL/6 mice. ConclusionOur results show that I3A, which has been previously reported to be a gut microbiota-derived metabolite of dietary tryptophan, mitigates the key hallmarks of MASLD in an NLRP3 dependent manner. A dedicated structure-activity-relationship (SAR) study around the I3A chemotype may be carried out in future to identify novel NLRP3 inhibitors with desirable pharmacological profile.

pharmacology and toxicology↗

bioRxiv2025

The developing leaf of the wild grass Brachypodium distachyon at single-cell resolution

Leaves are the plants main photosynthetic organs and drive Earths primary production. Grasses form longitudinal leaves with parallel venation and graminoid stomata. Yet, how distinct leaf tissues coordinatively develop to build functional grass leaf anatomy is not well understood. Here, we decoded the developing grass leaf from vegetative meristems to mature tissues using single-cell RNA-sequencing in the wild grass Brachypodium distachyon. In-depth analysis of epidermal clusters and multiplexed whole-mount RNA-fluorescence in situ hybridization resolved most epidermal lineages and confirmed them in planta. Gene regulatory network analysis distinguished the targetome of the two co-expressed, yet functionally divergent stomatal transcription factors BdMUTE and BdFAMA. Finally, we used our dataset to identify and functionally describe BdGRAS32s role in cell division inhibition and a stomata-specific function for a cell wall modifying enzyme. Together, our single-cell grass leaf atlas enables the dissection of developmental processes that shape the leaf sustaining global food production.

plant biology↗

bioRxiv2025

Development and Implementation of a Minority Health International Infectious Diseases Research Training Program

From 2014-2019, the University of Hawai`i (UH) at Manoa offered a National Institutes of Health funded Minority Health International Research Training (MHIRT) Program for undergraduate research experiences in infectious diseases. The goal of the program was to immerse undergraduate students in conducting global infectious diseases research to train a new generation of scientists to combat future global pandemics. The MHIRT program trained educationally underrepresented groups unique in Hawai`i: Native Hawai`ians and other Pacific Islanders, and underrepresented Asian Americans, e.g., Filipinos and Vietnamese. A 12-member Advisory Committee guided the program development, implementation, recruitment strategies, recruitment, retention, and program evaluation. The program provided an eight-month classroom and field based international research training. Students learned about "8 steps of research" and cultural competency, experienced a hands-on research project abroad, and presented their results to the research community in the host country and at UH. Students research topics focused on ongoing projects of UH faculty including those with international collaborations in infectious disease and tropical medicine. Students spent two months on an international research mentors project at an international site under the mentorship of a Hawai`i based research faculty. After eight months, students graduated from the program by presenting their research to family, friends, mentors, and UH faculty and administrators. Trainees in this program pursued academic graduate or professional health degrees. The majority of students pursued further studies related to infectious diseases contributing to workforce development in infectious disease health research. The UH-MHIRT program provides an example of student immersion in international infectious disease research to foster future interest in global health research providing potential benefits for the student and faculty and their research efforts.

scientific communication and education↗

bioRxiv2023

Conserved Cardiovascular Network: Bioinformatics Insights into Genes and Pathways for Establishing Caenorhabditis elegans as an Animal Model for Cardiovascular Diseases.

Cardiovascular disease (CVD) is a collective term for disorders of the heart and blood vessels. The molecular events and biochemical pathways associated with CVD are difficult to study in clinical settings on patients and in vitro conditions. Animal models play a pivotal and indispensable role in cardiovascular disease (CVD) research. Caenorhabditis elegans, a nematode species, has emerged as a prominent experimental organism widely utilised in various biomedical research fields. However, the specific number of CVD-related genes and pathways within the C. elegans genome remains undisclosed to date, limiting its in-depth utilisation for investigations. In the present study, we conducted a comprehensive analysis of genes and pathways related to CVD within the genomes of humans and C. elegans through a systematic bioinformatic approach. A total of 1113 genes in C. elegans orthologous to the most significant CVD-related genes in humans were identified, and the GO terms and pathways were compared to study the pathways that are conserved between the two species. In order to infer the functions of CVD-related orthologous genes in C. elegans, a PPI network was constructed. Orthologous gene PPI network analysis results reveal the hubs and important KRs: pmk-1, daf-21, gpb-1, crh-1, enpl-1, eef-1G, acdh-8, hif-1, pmk-2, andaha-1 in C. elegans. Modules were identified for determining the role of the orthologous genes at various levels in the created network. We also identified 9 commonly enriched pathways between humans and C. elegans linked with CVDs that include autophagy (animal), the ErbB signalling pathway, the FoxO signalling pathway, the MAPK signalling pathway, ABC transporters, the biosynthesis of unsaturated fatty acids, fatty acid metabolism, glutathione metabolism, and metabolic pathways. This study provides the first systematic genomic approach to explore the CVD-associated genes and pathways that are present in C. elegans, supporting the use of C. elegans as a prominent animal model organism for cardiovascular diseases.

bioinformatics↗

bioRxiv2023

EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery

Machine learning (ML)-derived embeddings are a compressed representation of high content data modalities. Embeddings can capture detailed information about disease states and have been qualitatively shown to be useful in genetic discovery. Despite their promise, embeddings have a major limitation: it is unclear if genetic variants associated with embeddings are relevant to the disease or trait of interest. In this work we describe EmbedGEM (Embedding Genetic Evaluation Methods), a framework to systematically evaluate the utility of embeddings in genetic discovery. EmbedGEM focuses on comparing embeddings along two axes: heritability and disease relevance. As measures of heritability, we consider the number of genome-wide significant associations and the mean{chi} 2 statistic at significant loci. For disease relevance, we compute polygenic risk scores for each embedding principal component, then evaluate their association with high-confidence disease or trait labels in a held-out evaluation patient set. While our development of EmbedGEM is motivated by embeddings, the approach is generally applicable to multivariate traits, and can readily be extended to accommodate additional metrics along the evaluation axes. We demonstrate EmbedGEMs utility by evaluating embeddings and multivariate traits in two separate datasets: i) a synthetic dataset simulated to demonstrate the ability of the framework to correctly rank traits based on their heritability and disease relevance, and ii) a real data from the UK Biobank including metabolic and liver-related traits. Importantly, we show that greater disease relevance does not automatically follow from greater heritability.

bioinformatics↗

bioRxiv2023

Distinct composition of plasma virome in HIV-infected subjects on antiretroviral therapy compared to controls

Microbiome study during HIV infection is widely documented with major emphasis on bacteriome, while virome studies are few. The alteration of plasma virome is reported in HIV patients who are either treatment naive or have a weak immune system. Less is known about the plasma virome in HIV-infected patients on ART with preserved CD4 counts. In our pilot study, viral DNA isolated from plasma was sequenced on Illumina Nextseq500 platform. With the help of VIROMATCH pipeline, we observed that the plasma virome of HIV patients were significantly distinct from controls on the basis of Bray-Curtis dissimilarity index. The species, Human gammaherpesvirus 4 and families, Herpesviridae and Siphoviridae were found to be significantly enriched and differentially abundant in HIV patients. Hence, plasma virome is an important component for future study that might influence disease progression among HIV patients during therapy.

microbiology↗

bioRxiv2022

Targeting MAPAKAP2(MK2) to combat inflammation by avoiding the differential regulation of anti-inflammatory genes by p38 MAPK inhibitors

p38 mitogen-activated protein kinase (p38 MAPK) plays an important role in the key cellular processes related to inflammation. Several small molecule inhibitors of p38 MAPK therefore have been evaluated for their anti-inflammatory potential and progressed from early discovery to late phase clinical trials. Most of these efforts however have failed due to severe toxicity concerns. Since p38 MAPK has several downstream substrates, inhibition of p38 MAPK, therefore, leads to the modulation of all its substrates, resulting into a dis-balance of pro- and anti-inflammatory response and multiple toxicity concerns. Targeting p38MAPK MAPKAPK2 (MK2), one of the downstream substrates of p38 MAPK directly, is expected to be a better anti-inflammatory approach without having any toxicity concerns. In this manuscript, we are reporting biological data of representative MK2 inhibitor to validate its anti-inflammatory potential and a comparison of p38 MAPK and MK2 inhibitors in cell based assays to understand their relative toxicities.

pharmacology and toxicology↗

bioRxiv2021

A deep learning framework for inference of single-trial neural population activity from calcium imaging with sub-frame temporal resolution

In many brain areas, neural populations act as a coordinated network whose state is tied to behavior on a moment-by-moment basis and millisecond timescale. Two-photon (2p) calcium imaging is a powerful tool to probe network-scale computation, as it can measure the activity of many individual neurons, monitor multiple cortical layers simultaneously, and sample from identified cell types. However, estimating network state and dynamics from 2p measurements has proven challenging because of noise, inherent nonlinearities, and limitations on temporal resolution. Here we describe RADICaL, a deep learning method to overcome these limitations at the population level. RADICaL extends methods that exploit dynamics in spiking activity for application to deconvolved calcium signals, whose statistics and temporal dynamics are quite distinct from electrophysiologically-recorded spikes. It incorporates a novel network training strategy that capitalizes on the timing of 2p sampling to recover network dynamics with high temporal precision. In synthetic tests, RADICaL infers network state more accurately than previous methods, particularly for high-frequency components. In real 2p recordings from sensorimotor areas in mice performing a "water grab" task, RADICaL infers network state with close correspondence to single-trial variations in behavior, and maintains high-quality inference even when neuronal populations are substantially reduced.

neuroscience↗

bioRxiv2021

Developing selective FPR2 agonists can be a potential approach to treat moderate to severe asthma.

Formyl peptide receptor (FPR) family members have been reported to play important role in the resolution of inflammation. A few FPR2/FPR1 dual agonists are reported in the public domain for their anti-inflammatory properties. None of these molecules, however, have been successful as a therapy yet. Recent reports bring forward the ambiguous role of FPR1 in inflammation. These include both positive and negative outcomes. We, therefore, aimed to develop selective FPR2 agonists and evaluated their potential in mitigating the non-resolving inflammation in mouse models of moderate to severe asthma. Extensive structure-activity-relationship (SAR) studies were conducted on the imidazole and benzimidazole chemotype series to identify potent and selective FPR2 agonists. A few molecules were shortlisted based on their in vitro profile and absorption, distribution, metabolism and excretion (ADME) properties and were further evaluated in mouse models of asthma. We report herewith identification of 3 RCI compounds with low nanomolar potency for FPR2 agonism and >10,000 fold selectivity over FPR1 in Ca2+ release assay. These molecules also showed potency in other in vitro assays and potent efficacy in three distinct animal models of asthma. Our data suggest that FPR2 agonism can be a potential therapeutic approach to treat asthma. Our findings also propose that FPR1 can be spared to achieve the desired pharmacological activity.

pharmacology and toxicology↗

bioRxiv2021

Comparative evaluation of plasma protein purification and 2-D gel electrophoresis protocols for analysis of HIV-1 infected human plasma proteins

Purification of proteins from human plasma is a herculean task to perform 2-D gel electrophoresis. Human plasma contains nearly 70% albumin and globulin. The removal of such high abundance high molecular weight proteins is very difficult before performing 2-D gel electrophoresis. It becomes more difficult when we intent to investigate in infectious diseases like HIV/AIDS. We tried to the best of our efforts adopting various organic and non-organic based protocols based on various published papers. After failure of these protocols in results of 2-D gel-electrophoresis Aurum serum mini kit (Bio-Rad, USA) was adopted for plasma protein purification for performing 2-D gel electrophoresis. The low-abundance proteins were better resolved by 10% SDS-PAGE in 2-D gel-electrophoresis. Then,we extended the MALDI-TOF/TOF analysis of low-abundance proteins in human plasma by adopting the Aurum serum mini kit (Bio-Rad, USA) for 2-D gel electrophoresis. Thus, we concluded that, depletion of high abundant proteins like albumin and globulin, the use of the Aurum serum mini kit (Bio-Rad, USA) is the protocol of choice to perform the 2-D gel electrophoresis of HIV-1 infected human plasma.

biochemistry↗

bioRxiv2021

Identification and characterization of novel plasma proteins in drug resistant HIV/AIDS patients by SWATH-MS

Background and ObjectivesAcquired immunodeficiency syndrome is one of the most important diseases caused by human immunodeficiency virus. Understanding its molecular pathogenesis is essential to manage the disease at the population level. In this study, a quantitative analysis of plasma proteins was carried out in drug resistant and drug respondent patients using the SWATH-MS. MethodsSequential window acquisition of all theoretical mass spectra (SWATH-MS) is a prime technique to seek the key plasma proteins involved in virus replication and drug metabolism during therapy. ResultsIn total, 204 proteins were identified and quantified, 57 proteins were differentially expressed, 25 proteins were down regulated and 32 proteins were upregulated in drug resistant patients. Six proteins such as complement C4-A, immunoglobulin heavy variable 1-2, carboxylic ester hydrolase, fibulin-1, immunoglobulin lambda constant 7, secreted phosphoprotein 24 were statistically expressed in drug resistant patients compared to the drug respondent patients. Gene ontology study and protein-protein interaction networks were established in six statistically significant differentially expressed proteins of the drug resistant patients. Interpretation and ConclusionOur findings high lights the novel proteins that were differentially expressed in drug resistant patients. A label-free quantitative proteomics method for depleted human plasma samples by SWATH-MS that can be useful in plasma proteomics research in any biological system.

biochemistry↗

bioRxiv2021

A large-scale neural network training framework for generalized estimation of single-trial population dynamics

Recent technical advances have enabled recording of increasingly large populations of neural activity, even during natural, unstructured behavior. Deep sequential autoencoders are the current state-of-the-art for uncovering dynamics from these datasets. However, these highly complex models include many non-trainable hyperparameters (HPs) that are typically hand tuned with reference to supervisory information (e.g., behavioral data). This process is cumbersome and time consuming and biases model selection toward models with good representations of individual supervisory variables. Additionally, it cannot be applied to cognitive areas or unstructured tasks for which supervisory information is unavailable. Here we demonstrate AutoLFADS, an automated model-tuning framework that can characterize dynamics using only neural data, without the need for supervisory information. This enables inference of dynamics out-of-the-box in diverse brain areas and behaviors, which we demonstrate on several datasets: motor cortex during free-paced reaching, somatosensory cortex during reaching with perturbations, and dorsomedial frontal cortex during cognitive timing tasks. We also provide a cloud software package and comprehensive tutorials that enable new users to apply the method without dedicated computing resources.

neuroscience↗

bioRxiv2020

Preferential recognition and antagonism of SARS-CoV-2 spike glycoprotein binding to 3-O-sulfated heparan sulfate

The COVID-19 pandemic caused by SARS-CoV-2 is in immediate need of an effective antidote. Although the Spike glycoprotein (SgP) of SARS-CoV-2 has been shown to bind to heparins, the structural features of this interaction, the role of a plausible heparan sulfate proteoglycan (HSPG) receptor, and the antagonism of this pathway through small molecules remain unaddressed. Using an in vitro cellular assay, we demonstrate HSPGs modified by the 3-O-sulfotransferase isoform-3, but not isoform-5, preferentially increased SgP-mediated cell-to-cell fusion in comparison to control, unmodified, wild-type HSPGs. Computational studies support preferential recognition of the receptor-binding domain of SgP by 3-O-sulfated HS sequences. Competition with either fondaparinux, a 3-O-sulfated HS-binding oligopeptide, or a synthetic, non-sugar small molecule, blocked SgP-mediated cell-to-cell fusion. Finally, the synthetic, sulfated molecule inhibited fusion of GFP-tagged pseudo SARS-CoV-2 with human 293T cells with sub-micromolar potency. Overall, overexpression of 3-O-sulfated HSPGs contribute to fusion of SARS-CoV-2, which could be effectively antagonized by a synthetic, small molecule.

biochemistry↗

bioRxiv2020

Effective Inhibition of SARS-CoV-2 Entry by Heparin and Enoxaparin Derivatives

Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) has caused a pandemic of historic proportions and continues to spread globally, with enormous consequences to human health. Currently there is no vaccine, effective therapeutic or prophylactic. Like other betacoronaviruses, attachment and entry of SARS-CoV-2 is mediated by the spike glycoprotein (SGP). In addition to its well-documented interaction with its receptor, human angiotensin converting enzyme 2 (hACE2), SGP has been found to bind to glycosaminoglycans like heparan sulfate, which is found on the surface of virtually all mammalian cells. Here, we pseudotyped SARS-CoV-2 SGP on a third generation lentiviral (pLV) vector and tested the impact of various sulfated polysaccharides on transduction efficiency in mammalian cells. The pLV vector pseudotyped SGP efficiently and produced high titers on HEK293T cells. Various sulfated polysaccharides potently neutralized pLV-S pseudotyped virus with clear structure-based differences in anti-viral activity and affinity to SGP. Concentration-response curves showed that pLV-S particles were efficiently neutralized by a range of concentrations of unfractionated heparin (UFH), enoxaparin, 6-O-desulfated UFH and 6-O-desulfated enoxaparin with an IC50 of 5.99 {micro}g/L, 1.08 mg/L, 1.77 {micro}g/L, and 5.86 mg/L respectively. The low serum bioavailability of intranasally administered UFH, along with data suggesting that the nasal epithelium is a portal for initial infection and transmission, suggest that intranasal administration of UFH may be an effective and safe prophylactic treatment.

microbiology↗

bioRxiv2019

The degree of polymerization and sulfation patterns in heparan sulfate are critical determinants of cytomegalovirus infectivity

Several enveloped viruses, including herpesviruses attach to host cells by initially interacting with cell surface heparan sulfate (HS) proteoglycans followed by specific coreceptor engagement which culminates in virus-host membrane fusion and virus entry. Interfering with HS-herpesvirus interactions has long been known to result in significant reduction in virus infectivity indicating that HS play important roles in initiating virus entry. In this study, we provide a series of evidence to prove that specific sulfations as well as the degree of polymerization (dp) of HS govern human cytomegalovirus (CMV) binding and infection. First, purified CMV extracellular virions preferentially bind to sulfated longer chain HS on a glycoarray compared to a variety of unsulfated glycosaminoglycans including unsulfated shorter chain HS. Second, the fraction of glycosaminoglycans (GAG) displaying higher dp and sulfation has a larger impact on CMV titers compared to other fractions. Third, cell lines deficient in specific glucosaminyl sulfotransferases produce significantly reduced CMV titers compared to wild-type cells and virus entry is compromised in these mutant cells. Finally, cells pretreated with a peptide that specifically binds sulfated-HS produce significantly reduced virus titers compared to the control peptide treated cells. Taken together, these results highlight the significance of HS chain length and sulfation patterns in CMV attachment and infectivity. IMPORTANCEHeparan sulfate (HS) is a linear polysaccharide found in all animal tissues. It binds to a variety of protein ligands, including cytokines, chemokines, growth factors and morphogens and regulates a wide range of biological activities, including developmental processes, angiogenesis, blood coagulation, and tumor metastasis. The molecular diversity in HS chains generates unique binding sites for specific ligands and can offer preferential binding for a specific virus over other viruses or cellular ligands. In the current study human cytomegalovirus (CMV) was found to bind preferentially to uniquely sulfated and polymerized HS. The HS mimics designed with these properties inhibited CMV infection. The results were corroborated by parallel studies in mutant mouse cells as well as using peptide inhibition. Combined together, the data suggests that CMV preferentially attaches to uniquely modified HS and thus this virus-host interaction is amenable to targeting by specifically designed HS mimics or peptides.

microbiology↗

bioRxiv2018

Repeat expansion and methylation state analysis with nanopore sequencing

Expansions of short tandem repeats are genetic variants that have been implicated in neuropsychiatric and other disorders but their assessment remains challenging with current molecular methods. Here, we developed a Cas12a-based enrichment strategy for nanopore sequencing that, combined with a new algorithm for raw signal analysis, enables us to efficiently target, sequence and precisely quantify repeat numbers as well as their DNA methylation status. Taking advantage of these single molecule nanopore signals provides therefore unprecedented opportunities to study pathological repeat expansions.

genetics↗

bioRxiv2018

Dynamin is required for efficient cytomegalovirus maturation and envelopment

Cytomegalovirus secondary envelopment occurs in a virus-induced cytoplasmic assembly compartment (vAC) generated via a drastic reorganization of the membranes of the secretory and endocytic systems. Dynamin is a eukaryotic GTPase that is implicated in membrane remodeling and endocytic membrane fission events; however, the role of dynamin in cellular trafficking of viruses beyond virus entry is only partially understood. Mouse embryonic fibroblasts (MEF) engineered to excise all three isoforms of dynamin were infected with mouse cytomegalovirus (MCMV-K181). Immediate early (IE1; m123) viral protein was detected in these triple dynamin knockout (TKO) cells as well as in mock-induced parental MEF at early times post infection although levels were reduced in TKO cells, indicating that virus entry was affected but not eliminated. Levels of IE1 protein and another viral early protein (m04) were normalized by 48 hours post infection; however, late protein (m55; gB) expression was significantly reduced in infected TKO cells compared to parental MEF. Ultrastructural analysis revealed intact stages of nuclear virus maturation in both cases with equivalent numbers of nucleocapsids containing packaged viral DNA (C-capsids) indicating successful viral DNA replication, capsid assembly and genome packaging. Most importantly, severe defects in virus envelopment were visualized in TKO cells but not in parental cells. Dynamin inhibitor (dynasore) treated MEF showed a phenotype similar to TKO cells upon MCMV infection confirming the role of dynamin in late maturation processes. In summary, dynamin-mediated endocytic pathways are critical for the completion of cytoplasmic stages of cytomegalovirus maturation.\n\nImportanceViruses are known to exploit specific cellular functions at different stages of their life cycle in order to replicate, avoid immune recognition by the host and to establish a successful infection. Cytomegalovirus (CMV) infected cells are characterized by a prominent cytoplasmic inclusion (virus assembly compartment; vAC) that is the site of virus maturation and envelopment. While endocytic membranes are known to be the functional components of vAC, knowledge of specific endocytic pathways implicated in CMV maturation and envelopment is lacking. Here we show that dynamin, which is an integral part of host endocytic machinery, is largely dispensable for early stages of CMV infection but is required at a late stage of CMV maturation. Studies on dynamin function in CMV infection will help us understand the host-virus interaction pathways amenable to targeting by conventional small molecules as well as by newer generation nucleotide-based therapeutics (e.g. siRNA, CRISPR/CAS gRNA, etc.).

microbiology↗