Diptaraj S. Chaudhari

Dr. Diptaraj S. Chaudhari

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Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 September 2023 in Journal of Geophysical Research: Biogeosciences
Verified
Journal Article
Closed access
HSHimanshu Saxena
Himanshu Saxena
DSDeepika Sahoo
Deepika Sahoo
SNSipai Nazirahmed
Sipai Nazirahmed
DCDiptaraj S. Chaudhari
Diptaraj S. Chaudhari
PRPraveen Rahi
Praveen Rahi
ASArvind Singh
Arvind Singh

25 June 2025 in Biomolecules
Verified
Journal Article
Open access
PDF file
MTMartin Tobi
Martin Tobi
DCDiptaraj S. Chaudhari
Diptaraj S. Chaudhari
Elizabeth P RyanElizabeth P Ryan
Elizabeth P Ryan
NRNoreen F. Rossi
Noreen F. Rossi
OKOrena Koka
Orena Koka
MAMariana Angoa-Perez
Mariana Angoa-Perez
While there are many postulates for the etiology of post-viral chronic fatigue and other symptomatology, little is known. We draw on our past experience of these syndromes to devise means which can expose the primary players of this malady in terms of a panoply participating biomolecules and the state of the stool microbiome. Using databases established from a large dataset of patients at risk of colorectal cancer who were followed longitudinally over 3 decades, and a smaller database dedicated to building a Long PASC cohort (Post-Acute Sequelae of COVID-19), we were able to ascertain factors that predisposed patients to (and resulted in) significant changes in various biomarkers, i.e., the stool microbiome and serum cytokine levels, which we verified by collecting stool and serum samples. There were significant changes in the stool microbiome with an inversion from the usual Bacillota and Bacteroidota species. Serum cytokines showed significant differences in MIP-1β versus TARC (CC chemokine ligand 17) in patients with either PASC or COVID-19 (p < 0.02); IL10 versus IL-12p70a (p < 0.02); IL-1b versus IL-6 (p < 0.01); MCP1 versus TARC (p < 0.03); IL-8 versus TARC (p < 0.002); and Eotaxin3 versus TARC (p < 0.004) in PASC. Some changes were seen solely in COVID-19, including MDC versus MIP-1α (p < 0.01); TNF-α versus IL-1-β (p < 0.06); MCP4 versus TARC (p < 0.0001). We also show correlates with chronic fatigue where an etiology was not identified. These findings in patients with positive criteria for PASC show profound changes in the microbiome and serum cytokine expression. Patients with chronic fatigue without clear viral etiologies also have common associations, including a history of tonsillectomy, which evokes a likely immune etiology.

Verified
Journal Article
Open access
PDF file
SHSherri Huang
Sherri Huang
DCDiptaraj S. Chaudhari
Diptaraj S. Chaudhari
RSRohit Shukla
Rohit Shukla
PKPushti Kanani
Pushti Kanani
Rola S ZeidanRola S Zeidan
Rola S Zeidan
HYHariom Yadav
Hariom Yadav
Earlier analyses evaluating patterns of gut microbiota in individuals from different geographies and age groups are heterogeneous in methodology, precluding broader conclusions about the relationship between the gut microbiome and geographic region, age, and clinical health. Here, we systematically conducted a meta-analysis of 16s rRNA gut microbiome sequencing data representing 10,878 samples across North America, Europe, Africa, Asia and Oceania. Our analysis included 27 countries and three age groups (neonate to age 17, or AG01; ages 18 to 64, or AG02; 65 and above, or AG03). We identified that Firmicutes, Bacteriodetes, and Proteobacteria constitute core phyla across geographic regions. A differing predominance of top families alongside core family Lachnospiracaeae across regions comprised unique microbiome signatures. Countries also differed in their relative abundances of Bifidobacterium, Faecalibacterium, Lactobacillus and Bacteroides. We found in our age analyses that Proteobacteria and Actinobacteria were the most abundant phyla in AG01, and Actinobacteria abundance declined across all continents with increasing age. The relative abundance of Bacteriodetes increased between AG01 and AG02. Enrichment of asthma-associated Enterobacterieaceae in AG01 was highest for North America, followed by Europe and then in Asia. We discuss the correlation of these gut microbial patterns in the context of dietary patterns, populations health, clinical health trends, and healthy aging.

3 January 2025 in Microorganisms
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Journal Article
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AWAndrew Winters
Andrew Winters
DFDina Francescutti
Dina Francescutti
DKDavid J. Kracht
David J. Kracht
DCDiptaraj S. Chaudhari
Diptaraj S. Chaudhari
BZBranislava Zagorac
Branislava Zagorac
MAMariana Angoa-Perez
Mariana Angoa-Perez
Cocaine use disorder remains a major global health concern, with growing evidence that the gut microbiome modulates drug-related behaviors. This study examines the microbiome’s role in cocaine-induced psychomotor activation and context-dependent reward responses using germ-free (GF) and antibiotic-treated (ABX) models. In GF mice, the absence of a microbiome blunted cocaine-induced psychomotor activation (p = 0.013), which was restored after conventionalization. GF mice also showed reduced cocaine-conditioned place preference (CPP) (p = 0.002), which normalized after conventionalization. Dopaminergic function, critical for psychomotor responses and reward, was microbiome-dependent, with increased dopamine levels (p = 0.009) and normalized turnover ratios after conventionalization. In the ABX model, microbiome depletion reduced both cocaine-induced locomotion and CPP responses (p ≤ 0.009), further supporting the role of gut microbes in modulating psychomotor and reward behaviors. ABX-treated mice also showed significant declines in microbial diversity, shifts in bacterial structure, and dysregulation in metabolic, immune, and neurotransmitter pathways (p ≤ 0.0001), including alterations in short-chain fatty acids and gamma-aminobutyric acid metabolism. These findings highlight the gut microbiome’s critical role in regulating cocaine’s psychomotor and rewarding effects, offering insights into potential therapeutic strategies for cocaine use disorder.