INDRANIL CHATTOPADHYAY

Dr. INDRANIL CHATTOPADHYAY


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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1 January 2019 in Technology in Cancer Research & Treatment
Verified
Journal Article
Open access
ICINDRANIL CHATTOPADHYAY
INDRANIL CHATTOPADHYAY
MVMukesh Verma
Mukesh Verma
MPMadhusmita Panda
Madhusmita Panda
Despite advancement in cancer treatment, oral cancer has a poor prognosis and is often detected at late stage. To overcome these challenges, investigators should search for early diagnostic and prognostic biomarkers. More than 700 bacterial species reside in the oral cavity. The oral microbiome population varies by saliva and different habitats of oral cavity. Tobacco, alcohol, and betel nut, which are causative factors of oral cancer, may alter the oral microbiome composition. Both pathogenic and commensal strains of bacteria have significantly contributed to oral cancer. Numerous bacterial species in the oral cavity are involved in chronic inflammation that lead to development of oral carcinogenesis. Bacterial products and its metabolic by-products may induce permanent genetic alterations in epithelial cells of the host that drive proliferation and/or survival of epithelial cells. Porphyromonas gingivalis and Fusobacterium nucleatum induce production of inflammatory cytokines, cell proliferation, and inhibition of apoptosis, cellular invasion, and migration thorough host cell genomic alterations. Recent advancement in metagenomic technologies may be useful in identifying oral cancer–related microbiome, their genomes, virulence properties, and their interaction with host immunity. It is very important to address which bacterial species is responsible for driving oral carcinogenesis. Alteration in the oral commensal microbial communities have potential application as a diagnostic tool to predict oral squamous cell carcinoma. Clinicians should be aware that the protective properties of the resident microflora are beneficial to define treatment strategies. To develop highly precise and effective therapeutic approaches, identification of specific oral microbiomes may be required. In this review, we narrate the role of microbiome in the progression of oral cancer and its role as an early diagnostic and prognostic biomarker for oral cancer.

11 August 2020 in Archives of Microbiology
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Journal Article
Closed access
PDF file
ARAvdhesh Kumar Rai
Avdhesh Kumar Rai
MPMadhusmita Panda
Madhusmita Panda
ADAshok Kumar Das
Ashok Kumar Das
TRTashnin Rahman
Tashnin Rahman
RDRajjyoti Das
Rajjyoti Das
ICINDRANIL CHATTOPADHYAY
INDRANIL CHATTOPADHYAY

25 January 2021 in Applied Biochemistry and Biotechnology
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Journal Article
Closed access
PDF file
ICINDRANIL CHATTOPADHYAY
INDRANIL CHATTOPADHYAY
RDRuby Dhar
Ruby Dhar
KPKarthikeyan Pethusamy
Karthikeyan Pethusamy
ASAshikh Seethy
Ashikh Seethy
TSTryambak Srivastava
Tryambak Srivastava
Subhradip KarmakarSubhradip Karmakar
Subhradip Karmakar

1 January 2022 in Biocatalysis and Agricultural Biotechnology
Verified
Journal Article
Closed access
ICINDRANIL CHATTOPADHYAY
INDRANIL CHATTOPADHYAY

8 February 2022 in Disease Markers
Verified
Journal Article
Open access
PDF file
ICINDRANIL CHATTOPADHYAY
INDRANIL CHATTOPADHYAY
Rohit GundamarajuRohit Gundamaraju
Rohit Gundamaraju
Niraj Kumar JhaNiraj Kumar Jha
Niraj Kumar Jha
Piyush Kumar GuptaPiyush Kumar Gupta
Piyush Kumar Gupta
ADAbhijit Dey
Abhijit Dey
BFBridget M. Ford
Bridget M. Ford
The gut bacterial community is involved in the metabolism of bile acids and short-chain fatty acids (SCFAs). Bile acids are involved in the absorption of fat and the regulation of lipid homeostasis through emulsification and are transformed into unconjugated bile acids by the gut microbiota. The gut microbiota is actively involved in the production of bile acid metabolites, such as deoxycholic acid, lithocholic acid, choline, and SCFAs such as acetate, butyrate, and propionate. Metabolites derived from the gut microbiota or modified gut microbiota metabolites contribute significantly to host pathophysiology. Gut bacterial metabolites, such as deoxycholic acid, contribute to the development of hepatocellular carcinoma and colon cancer by factors such as inflammation and oxidative DNA damage. Butyrate, which is derived from gut bacteria such as Megasphaera, Roseburia, Faecalibacterium, and Clostridium, is associated with the activation of Treg cell differentiation in the intestine through histone acetylation. Butyrate averts the action of class I histone deacetylases (HDAC), such as HDAC1 and HDAC3, which are responsible for the transcription of genes such as p21/Cip1, and cyclin D3 through hyperacetylation of histones, which orchestrates G1 cell cycle arrest. It is essential to identify the interaction between the gut microbiota and bile acid and SCFA metabolism to understand their role in gastrointestinal carcinogenesis including colon, gastric, and liver cancer. Metagenomic approaches with bioinformatic analyses are used to identify the bacterial species in the metabolism of bile acids and SCFAs. This review provides an overview of the current knowledge of gut microbiota-derived bile acid metabolism in tumor development and whether it can stand as a marker for carcinogenesis. Additionally, this review assesses the evidence of gut microbiota-derived short-chain fatty acids including butyric acid in antitumor activity. Future research is required to identify the beneficial commensal gut bacteria and their metabolites which will be considered to be therapeutic targets in inflammation-mediated gastrointestinal cancers.

6 February 2021 in BMC Research Notes
Verified
Journal Article
Open access
PDF file
PKPrasanna Kulkarni
Prasanna Kulkarni
PDPoornima Devkumar
Poornima Devkumar
ICINDRANIL CHATTOPADHYAY
INDRANIL CHATTOPADHYAY
Objective: Differential alterations in gut microbiota and chronic low-grade inflammation play a critical role in the development of Type 2 diabetes (T2D). Here we aimed to investigate if dysbiosis of inflammation and anti-inflammation-associated gut bacterial communities in fecal samples of individuals had any influence on T2D using a 16S rRNA gene of V3 region sequencing at Illumina MiSeq platform. Results: Our findings showed that a higher abundance of inflammatory bacteria such as Lactobacillus ruminis, Ruminococcus gnavus, Bacteroides caccae, Butyricimonas, and Collinsella aerofaciens, and lower abundance of anti-inflammatory bacteria such as Faecalibacterium prausnitzii, and Butyrivibrio that likely play a role in the development of T2D. Our findings hint the potential of indigenous microbiota in developing diagnostic markers and therapeutic targets in T2D.