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  1. Article: L-Ascorbic Acid Restricts

    Sen, Himanshu / Kaur, Manpreet / Ray Chaudhuri, Saumya

    Microorganisms

    2024  Volume 12, Issue 3

    Abstract: Cholera, a deadly diarrheal disease, continues to ravage various parts of the world. It is caused ... ...

    Abstract Cholera, a deadly diarrheal disease, continues to ravage various parts of the world. It is caused by
    Language English
    Publishing date 2024-02-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms12030492
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Cancer-Associated Microbiota: From Mechanisms of Disease Causation to Microbiota-Centric Anti-Cancer Approaches.

    Dey, Priyankar / Ray Chaudhuri, Saumya

    Biology

    2022  Volume 11, Issue 5

    Abstract: Helicobacter ... ...

    Abstract Helicobacter pylori
    Language English
    Publishing date 2022-05-16
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology11050757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The opportunistic nature of gut commensal microbiota.

    Dey, Priyankar / Ray Chaudhuri, Saumya

    Critical reviews in microbiology

    2022  Volume 49, Issue 6, Page(s) 739–763

    Abstract: The abundance of gut commensals has historically been associated with health-promoting effects despite the fact that the definition of good or bad microbiota remains condition-specific. The beneficial or pathogenic nature of microbiota is generally ... ...

    Abstract The abundance of gut commensals has historically been associated with health-promoting effects despite the fact that the definition of good or bad microbiota remains condition-specific. The beneficial or pathogenic nature of microbiota is generally dictated by the dimensions of host-microbiota and microbe-microbe interactions. With the increasing popularity of gut microbiota in human health and disease, emerging evidence suggests opportunistic infections promoted by those gut bacteria that are generally considered beneficial. Therefore, the current review deals with the opportunistic nature of the gut commensals and aims to summarise the concepts behind the occasional commensal-to-pathogenic transformation of the gut microbes. Specifically, relevant clinical and experimental studies have been discussed on the overgrowth and bacteraemia caused by commensals. Three key processes and their underlying mechanisms have been summarised to be responsible for the opportunistic nature of commensals,
    MeSH term(s) Humans ; Gastrointestinal Microbiome ; Microbiota ; Symbiosis ; Bacteria/genetics ; Microbial Interactions
    Language English
    Publishing date 2022-10-18
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 1053620-6
    ISSN 1549-7828 ; 1040-841X
    ISSN (online) 1549-7828
    ISSN 1040-841X
    DOI 10.1080/1040841X.2022.2133987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Chemically Defined Lactobacillus plantarum Cell-Free Metabolites Demonstrate Cytoprotection in HepG2 Cells through Nrf2-Dependent Mechanism

    Rezgui, Raja / Walia, Ruhi / Sharma, Jyoti / Sidhu, Dwinder / Alshagadali, Khalid / Ray Chaudhuri, Saumya / Saeed, Amir / Dey, Priyankar

    Antioxidants. 2023 Apr. 14, v. 12, no. 4

    2023  

    Abstract: Centering around the concept that metabolites from the gut commensals can exert metabolic health benefits along the gut–liver axis, we tested whether the cell-free global metabolome of probiotic bacteria can exert hepatoprotective benefits against H₂O₂- ... ...

    Abstract Centering around the concept that metabolites from the gut commensals can exert metabolic health benefits along the gut–liver axis, we tested whether the cell-free global metabolome of probiotic bacteria can exert hepatoprotective benefits against H₂O₂-induced oxidative stress. Cell-free global metabolites of Lactobacillus plantarum (LPM) were isolated and untargeted metabolomics was performed. The free radical scavenging potentials of LPM were measured. The cytoprotective effects of LPM were tested on HepG2 cells. A total of 66 diverse metabolites were identified in LPM, among which saturated fatty acids, amino acids and dicarboxylic acids were highly enriched. LPM attenuated cell damage, lipid peroxidation and the levels of intracellular cytoprotective enzymes in H₂O₂-treated cells. LPM also attenuated H₂O₂-induced increased expressions of TNF-α and IL-6. However, the cytoprotective effects of LPM were diminished in cells that were pretreated with a pharmacological inhibitor of Nrf2. Our data collectively indicate that LPM can significantly attenuate oxidative damage to HepG2 cells. However, the cytoprotective effects of LPM likely depend on an Nrf2-dependent mechanism.
    Keywords Lactobacillus plantarum ; digestive system ; free radicals ; interleukin-6 ; lipid peroxidation ; metabolites ; metabolome ; metabolomics ; oxidative stress ; probiotics
    Language English
    Dates of publication 2023-0414
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2704216-9
    ISSN 2076-3921
    ISSN 2076-3921
    DOI 10.3390/antiox12040930
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Chemically Defined

    Rezgui, Raja / Walia, Ruhi / Sharma, Jyoti / Sidhu, Dwinder / Alshagadali, Khalid / Ray Chaudhuri, Saumya / Saeed, Amir / Dey, Priyankar

    Antioxidants (Basel, Switzerland)

    2023  Volume 12, Issue 4

    Abstract: Centering around the concept that metabolites from the gut commensals can exert metabolic health benefits along the gut-liver axis, we tested whether the cell-free global metabolome of probiotic bacteria can exert hepatoprotective benefits against ... ...

    Abstract Centering around the concept that metabolites from the gut commensals can exert metabolic health benefits along the gut-liver axis, we tested whether the cell-free global metabolome of probiotic bacteria can exert hepatoprotective benefits against H
    Language English
    Publishing date 2023-04-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704216-9
    ISSN 2076-3921
    ISSN 2076-3921
    DOI 10.3390/antiox12040930
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys.

    Singh, Prateek / Ujjainiya, Rajat / Prakash, Satyartha / Naushin, Salwa / Sardana, Viren / Bhatheja, Nitin / Singh, Ajay Pratap / Barman, Joydeb / Kumar, Kartik / Gayali, Saurabh / Khan, Raju / Rawat, Birendra Singh / Tallapaka, Karthik Bharadwaj / Anumalla, Mahesh / Lahiri, Amit / Kar, Susanta / Bhosale, Vivek / Srivastava, Mrigank / Mugale, Madhav Nilakanth /
    Pandey, C P / Khan, Shaziya / Katiyar, Shivani / Raj, Desh / Ishteyaque, Sharmeen / Khanka, Sonu / Rani, Ankita / Promila / Sharma, Jyotsna / Seth, Anuradha / Dutta, Mukul / Saurabh, Nishant / Veerapandian, Murugan / Venkatachalam, Ganesh / Bansal, Deepak / Gupta, Dinesh / Halami, Prakash M / Peddha, Muthukumar Serva / Veeranna, Ravindra P / Pal, Anirban / Singh, Ranvijay Kumar / Anandasadagopan, Suresh Kumar / Karuppanan, Parimala / Rahman, Syed Nasar / Selvakumar, Gopika / Venkatesan, Subramanian / Karmakar, Malay Kumar / Sardana, Harish Kumar / Kothari, Anamika / Parihar, Devendra Singh / Thakur, Anupma / Saifi, Anas / Gupta, Naman / Singh, Yogita / Reddu, Ritu / Gautam, Rizul / Mishra, Anuj / Mishra, Avinash / Gogeri, Iranna / Rayasam, Geethavani / Padwad, Yogendra / Patial, Vikram / Hallan, Vipin / Singh, Damanpreet / Tirpude, Narendra / Chakrabarti, Partha / Maity, Sujay Krishna / Ganguly, Dipyaman / Sistla, Ramakrishna / Balthu, Narender Kumar / A, Kiran Kumar / Ranjith, Siva / Kumar, B Vijay / Jamwal, Piyush Singh / Wali, Anshu / Ahmed, Sajad / Chouhan, Rekha / Gandhi, Sumit G / Sharma, Nancy / Rai, Garima / Irshad, Faisal / Jamwal, Vijay Lakshmi / Paddar, Masroor Ahmad / Khan, Sameer Ullah / Malik, Fayaz / Ghosh, Debashish / Thakkar, Ghanshyam / Barik, S K / Tripathi, Prabhanshu / Satija, Yatendra Kumar / Mohanty, Sneha / Khan, Md Tauseef / Subudhi, Umakanta / Sen, Pradip / Kumar, Rashmi / Bhardwaj, Anshu / Gupta, Pawan / Sharma, Deepak / Tuli, Amit / Ray Chaudhuri, Saumya / Krishnamurthi, Srinivasan / Prakash, L / Rao, Ch V / Singh, B N / Chaurasiya, Arvindkumar / Chaurasiyar, Meera / Bhadange, Mayuri / Likhitkar, Bhagyashree / Mohite, Sharada / Patil, Yogita / Kulkarni, Mahesh / Joshi, Rakesh / Pandya, Vaibhav / Mahajan, Sachin / Patil, Amita / Samson, Rachel / Vare, Tejas / Dharne, Mahesh / Giri, Ashok / Paranjape, Shilpa / Sastry, G Narahari / Kalita, Jatin / Phukan, Tridip / Manna, Prasenjit / Romi, Wahengbam / Bharali, Pankaj / Ozah, Dibyajyoti / Sahu, Ravi Kumar / Dutta, Prachurjya / Singh, Moirangthem Goutam / Gogoi, Gayatri / Tapadar, Yasmin Begam / Babu, Elapavalooru Vssk / Sukumaran, Rajeev K / Nair, Aishwarya R / Puthiyamadam, Anoop / Valappil, Prajeesh Kooloth / Pillai Prasannakumari, Adrash Velayudhan / Chodankar, Kalpana / Damare, Samir / Agrawal, Ved Varun / Chaudhary, Kumardeep / Agrawal, Anurag / Sengupta, Shantanu / Dash, Debasis

    Computers in biology and medicine

    2022  Volume 146, Page(s) 105419

    Abstract: Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. Asymptomatic breakthrough infections have been a major problem in ... ...

    Abstract Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. Asymptomatic breakthrough infections have been a major problem in assessing vaccine effectiveness in populations globally. Serological discrimination of vaccine response from infection has so far been limited to Spike protein vaccines since whole virion vaccines generate antibodies against all the viral proteins. Here, we show how a statistical and machine learning (ML) based approach can be used to discriminate between SARS-CoV-2 infection and immune response to an inactivated whole virion vaccine (BBV152, Covaxin). For this, we assessed serial data on antibodies against Spike and Nucleocapsid antigens, along with age, sex, number of doses taken, and days since last dose, for 1823 Covaxin recipients. An ensemble ML model, incorporating a consensus clustering approach alongside the support vector machine model, was built on 1063 samples where reliable qualifying data existed, and then applied to the entire dataset. Of 1448 self-reported negative subjects, our ensemble ML model classified 724 to be infected. For method validation, we determined the relative ability of a random subset of samples to neutralize Delta versus wild-type strain using a surrogate neutralization assay. We worked on the premise that antibodies generated by a whole virion vaccine would neutralize wild type more efficiently than delta strain. In 100 of 156 samples, where ML prediction differed from self-reported uninfected status, neutralization against Delta strain was more effective, indicating infection. We found 71.8% subjects predicted to be infected during the surge, which is concordant with the percentage of sequences classified as Delta (75.6%-80.2%) over the same period. Our approach will help in real-world vaccine effectiveness assessments where whole virion vaccines are commonly used.
    MeSH term(s) COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Vaccines/therapeutic use ; Humans ; Machine Learning ; Pandemics ; SARS-CoV-2 ; Vaccines, Inactivated ; Viral Vaccines ; Virion
    Chemical Substances COVID-19 Vaccines ; Vaccines, Inactivated ; Viral Vaccines
    Language English
    Publishing date 2022-04-25
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2022.105419
    Database MEDical Literature Analysis and Retrieval System OnLINE

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