Gaurav Tripathi

ORCID: 0000-0003-1127-6291
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About
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Research Areas
  • Liver Disease Diagnosis and Treatment
  • Metabolomics and Mass Spectrometry Studies
  • Liver Disease and Transplantation
  • Alcohol Consumption and Health Effects
  • Drug-Induced Hepatotoxicity and Protection
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Metabolism and Genetic Disorders
  • Gut microbiota and health
  • Diet, Metabolism, and Disease
  • SARS-CoV-2 detection and testing
  • Hepatitis C virus research
  • Drug Transport and Resistance Mechanisms
  • Diet and metabolism studies
  • Microbial Metabolic Engineering and Bioproduction
  • Respiratory viral infections research
  • Obstructive Sleep Apnea Research
  • COVID-19 diagnosis using AI
  • Gallbladder and Bile Duct Disorders
  • Electrolyte and hormonal disorders
  • Clinical Nutrition and Gastroenterology
  • Biochemical effects in animals
  • Advanced Proteomics Techniques and Applications
  • Urinary Tract Infections Management
  • Global Maternal and Child Health
  • Pharmacogenetics and Drug Metabolism

Institute of Liver and Biliary Sciences
2021-2024

Abstract Background and Aims Histopathological examination is the gold standard for detection of gallstone (GS) or gallbladder carcinoma (CAGB). Bile concentrated in (GB) expected to recapitulate metagenomics molecular changes associated with development CAGB. Approach Results samples were screened lipidomics metaproteome (metagenomics) signatures capable early cancer GB anomalies. Analysis training cohort ( n = 87) showed that metastability bile was reduced CAGB p < 0.05). significant...

10.1002/hep.32496 article EN Hepatology 2022-03-31

Bacterial vaginosis (BV) is a common clinical manifestation of perturbed vaginal ecology associated with adverse sexual and reproductive health outcomes if left untreated. The existing diagnostic modalities are either cumbersome or require skilled expertise, warranting alternate tests. Application machine-learning tools to heterogeneous high-dimensional multi-omics datasets finds promising potential in data integration may aid biomarker discovery.

10.1111/jdv.19805 article EN Journal of the European Academy of Dermatology and Venereology 2024-01-29

Background: Patients with pediatric cirrhosis-sepsis (PC-S) attain early mortality. Plasma bacterial composition, the cognate metabolites, and their contribution to deterioration of patients PC-S mortality are unknown. We aimed delineate plasma metaproteome-metabolome landscape identify molecular indicators capable segregating predisposed in plasma, we further validated selected metabolite panel paired 1-drop blood samples using untargeted metaproteomics-metabolomics by UHPLC-HRMS followed...

10.1097/hc9.0000000000000440 article EN cc-by-nc-nd Hepatology Communications 2024-06-01

Here we describe a protocol for identifying metabolites in respiratory specimens of patients that are SARS-CoV-2 positive, negative, or H1N1 positive. This provides step-by-step instructions on sample collection from patients, followed by metabolite extraction. We use ultra-high-pressure liquid chromatography (UHPLC) coupled with high-resolution mass spectrometry (HRMS) data acquisition and the steps analysis. The was standardized specific customization SARS-CoV-2-containing specimens. For...

10.1016/j.xpro.2021.101051 article EN cc-by-nc-nd STAR Protocols 2021-12-03

In this protocol, we describe global proteome profiling for the respiratory specimen of COVID-19 patients, patients suspected with COVID-19, and H1N1 patients. details identifying host, viral, or bacterial (Meta-proteome) are provided. Major steps protocol include virus inactivation, protein quantification digestion, desalting peptides, high-resolution mass spectrometry (HRMS)-based analysis, downstream bioinformatics analysis. For complete on use execution profile, please refer to Maras et...

10.1016/j.xpro.2021.101045 article EN cc-by-nc-nd STAR Protocols 2021-11-27

Abstract Introduction: Paediatric Cirrhosis-Sepsis (PC-S) patients attain early mortality. Plasma bacterial composition, the cognate metabolites and their contribution in deterioration of PC-S to mortality unknown. We aimed delineate plasma metaproteome-metabolome landscape identify molecular indicators capable segregating predisposed using untargeted metaproteomics-metabolomics by UHPLC-HRMS followed validation Machine learning (ML) algorithms. Methods: enrolled 160 with liver diseases...

10.21203/rs.3.rs-2696210/v1 preprint EN cc-by Research Square (Research Square) 2023-03-20

ABSTRACT Background and Aims Severe alcoholic hepatitis (SAH) has a high mortality corticosteroid therapy is effective in 60% patients. Reliable indicators of response to SAH are needed. A total 223 patients, 70 derivative [50 responders (R) 20 non-responders (NR)] 153 validation cohort [136R, 17NR] were subjected plasma metabolic/meta-proteomic analysis using UHPLC-HRMS validated Machine-Learning (ML). Temporal metabolic changes assessed Weighted Metabolome Correlation Network Analysis...

10.1101/2023.03.06.23286831 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2023-03-06

Background: To address high infant and neonatal mortality rate (NMR) in the state, government of Madhya Pradesh UNICEF adopted continuum care from community to health facility as core theme. This approach was first piloted with support Guna year 2007 is now being scaled up state wide under National Rural Health Mission (NRHM). Special new born units (SCNU) are set at district levels. First two such were by Government M.P Shivpuri districts. After successful Janani Suraksha Yojana (JSY)...

10.18203/2349-3291.ijcp20163654 article EN International Journal of Contemporary Pediatrics 2016-01-01

Abstract Background and Aims: Acute liver failure (ALF) has high mortality, probably due to accumulation of microbial metabolic factors in the circulation. Classification such plasma (non-invasive) could help stratification ALF patients predisposed early mortality Method: Baseline metabolomics meta-proteomics were performed 40 5 healthy controls (training-cohort). The results validated on test cohort; paired one drop blood; 160 using HRMS machine learning (ML). Circulating indicator panel...

10.21203/rs.3.rs-2769956/v1 preprint EN cc-by Research Square (Research Square) 2023-05-05

Introduction: With the advent of direct-acting antiviral (DAA) therapy for HCV, cure is achieved at similar rates among HIV-HCV coinfected patients as in HCV mono-infected patients. The present study evaluates host plasma metabolites putative indicators predicting treatment response baseline Methods: Non-cirrhotic (N = 43) were treated with sofosbuvir and daclatasvir 12 weeks. Plasma metabolite profiling pre- post-therapy was analyzed 20/43 Of 20 selected, 10 (50%) attained sustained viral...

10.3389/fmolb.2021.748014 article EN cc-by Frontiers in Molecular Biosciences 2022-01-10
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