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2. Prevalence and factors associated with tuberculosis infection in India

Author

Selvaraju, Sriram, Velayutham, Banurekha, Rao, Raghuram, Rade, Kiran, Thiruvengadam, Kannan, Asthana, Smita, Balachandar, Rakesh, Bangar, Sampada Dipak, Bansal, Avi Kumar, Bhat, Jyothi, Chopra, Vishal, Das, Dasarathi, Dutta, Shantha, Devi, Kangjam Rekha, Dwivedi, Gaurav Raj, Kalliath, Arshad, Laxmaiah, Avula, Madhukar, Major, Mahapatra, Amarendra, Mohanty, Suman Sundar, Rangaraju, Chethana, Turuk, Jyotirmayee, Menon, Pradeep Aravindan, Krishnan, Rajendran, Singh, Manjula, Sekar, Krithikaa, Robinson, Aby, Turuk, Alka, Krishnan, Nivethitha N., Srinivasan, Nivetha, Rexy, Catherine, Suresh, M., Hanna, Luke Elizabeth, Choudhury, Avijit H, Parmar, Malik, Ramachandran, Ranjani, Kumar, Nishant, Joshi, Rajendra Panduranga, Narasimhaiah, Somashekar, Chandrasekaran, Padmapriyadarsini, Khan, A.M., Panda, Samiran, and Bhargava, Balram

Published
2023
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4. Development, Characterization and Qualification of first GEM foils produced in India

Author

Shah, Aashaq, Ahmed, Asar, Gola, Mohit, Sharma, Ram krishna, Malhotra, Shivali, Kumar, Ashok, Naimuddin, Md., Menon, Pradeep, and Srinivasan, K.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The increasing demand for Gas Electron Multiplier (GEM) foils has been driven by their application in many current and proposed high-energy physics experiments. Micropack, a Bengaluru-based company, has established and commercialized GEM foils for the first time in India. Micropack used the double-mask etching technique to successfully produce 10 cm $\times$ 10 cm GEM foil. In this paper, we report on the development as well as the geometrical and electrical properties of these foils, including the size uniformity of the holes and leakage current measurements. Our characterization studies show that the foils are of good quality and satisfy all the necessary quality control criteria.

Published
2018
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7. Relative contribution of biomedical, demographic, and socioeconomic factors to COVID-19 vaccine receipt in rural India.

Author

Ferris, Bethany F., Balasubramanian, Suganthi, Rajamanickam, Anuradha, Munisankar, Saravanan, Dasan, Bindu, Menon, Pradeep A., Loke, P'ng, Babu, Subash, and Chami, Goylette F.

Subjects
SARS-CoV-2, RURAL poor, COVID-19 vaccines, SOCIOECONOMIC factors, COVID-19, VACCINATION
Abstract

Background: In the first year of roll-out, vaccination for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prevented almost 20 million deaths from coronavirus disease 2019 (COVID-19). Yet, little is known about the factors influencing access to vaccination at the individual level within rural poor settings of low-income countries. The aim of this study was to examine determinants of vaccine receipt in rural India. Methods: A census of a rural village in Tamil Nadu was undertaken from June 2021 to September 2022. We surveyed 775 participants from 262 households. Household-level data on socioeconomic status (SES), water, sanitation, and hygiene practices, and individual-level demographic information, travel history, and biomedical data, including anthropometry, vital signs, and comorbidities, were collected. Logistic regression models with 5-fold cross-validation were used to identify the biomedical, demographic, and socioeconomic determinants of vaccine receipt and the timing of receipt within the first 30 days of eligibility. Vaccine ineligible participants were excluded leaving 659 eligible participants. There were 650 eligible participants with complete biomedical, demographic, and socioeconomic data. Results: There were 68.0% and 34.0% of individuals (N = 650) who had received one and two vaccine doses, respectively. Participants with household ownership of a permanent account number (PAN) or ration card were 2.15 (95% CI:1.32–3.52) or 3.02 (95% CI:1.72–5.29) times more likely to receive at least one vaccine dose compared to households with no ownership of such cards. Participants employed as housewives or self-employed non-agricultural workers were 65% (95% CI:0.19–0.67) or 59% (95% CI:0.22–0.76) less likely to receive at least one vaccine dose compared to salaried workers. Household PAN card ownership, occupation and age were linked to the timing of vaccine receipt. Participants aged ≤18 and 45–60 years were 17.74 (95% CI:5.07–62.03) and 5.51 (95% CI:2.74–11.10) times more likely to receive a vaccine within 30 days of eligibility compared to 19-44-year-olds. Biomedical factors including BMI, vital signs, comorbidities, and COVID-19 specific symptoms were not consistently associated with vaccine receipt or timing of receipt. No support was found that travel history, contact with COVID-19 cases, and hospital admissions influenced vaccine receipt or timing of receipt. Conclusion: Factors linked to SES were linked to vaccine receipt, more so than biomedical factors which were targeted by vaccine policies. Future research should explore if government interventions including vaccine mandates, barriers to vaccine access, or peer influence linked to workplace or targeted vaccine promotion campaigns underpin these findings. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Characteristics of paradoxical tuberculosis-associated immune reconstitution inflammatory syndrome and its influence on tuberculosis treatment outcomes in persons living with HIV

Author

Narendran, Gopalan, Jyotheeswaran, Keerthana, Senguttuvan, Thirumaran, Vinhaes, Caian L., Santhanakrishnan, Ramesh K., Manoharan, Tamizhselvan, Selvaraj, Anbhalagan, Chandrasekaran, Padmapriyadarsini, Menon, Pradeep A., Bhavani, Kannabiran P., Reddy, Devarajulu, Narayanan, Ravichandran, Subramanyam, Balaji, Sathyavelu, Sekhar, Krishnaraja, Raja, Kalirajan, Pownraj, Angamuthu, Dhanalakshmi, Susaimuthu, Stella Mary, Ganesan, Ranjit R.K., Tripathy, Srikanth P., Swaminathan, Soumya, and Andrade, Bruno B.

Published
2020
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10. Prevalence of Tuberculosis Infection and Disease Among Homeless Persons Staying in NGO Shelters in Chennai

Author

Dolla, Chandrakumar, primary, Dhanaraj, Bhaskar, additional, Padmapriyadarsini, Chandrasekaran, additional, Malaisamy, Muniyandi, additional, Kannan, Thiruvengadam, additional, Menon, Pradeep Aravindan, additional, Krishnan, Rajendran, additional, P, Kumaravel, additional, R, Vijayalakshmi, additional, K, Devika, additional, and Tripathy, Srikanth Prasad, additional

Published
2023
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11. Low body mass index is associated with diminished plasma cytokines and chemokines in both active and latent tuberculosis

Author

Kumar, Nathella Pavan, Nancy, Arul P., Moideen, Kadar, Menon, Pradeep A., Banurekha, Vaithilingam V., Nair, Dina, Nott, Sujatha, and Babu, Subash

Subjects
Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Food Science
Abstract

IntroductionLow body mass index (BMI) is a major risk factor for tuberculosis (PTB). Low BMI can impair the immune system and thus might affect TB incidence.MethodsWe examined the plasma levels of Type 1, Type 17, pro-inflammatory, Type 2 and regulatory cytokines and CC and CXC chemokines in PTB and latent TB (LTB) individuals with low BMI (LBMI) or normal BMI (NBMI).ResultsOur data show that PTB is associated with significantly lower levels of IFNγ, TNFα, IL-2, IL-17A, IL-6, IL-12, IL-4 and IL-5 cytokines but significantly higher levels of IL-10, TGFβ and GM-CSF in LBMI compared to NBMI. Similarly, PTB is also associated with significantly lower levels of CCL2, CCL3, CCL11, CXCL1, CXCL9 and CXCL10 chemokines in LBMI compared to NBMI. Our data reveals that LTB is associated with significantly lower levels of IFNγ, TNFα, IL-2, IL1β, IL-12, IL-13 cytokines but significantly higher levels of IL-10, TGFβ, IL-4 and IL-22 in LBMI compared to NBMI. Similarly, LTB is also associated with significantly lower levels of CCL2, CXCL1, CXCL9 and CXCL10 and significantly higher levels of CCL1, CCL3, and CCL4 in LBMI compared to NBMI.ConclusionThus, LBMI has a major impact on the cytokine and chemokine milieu of both PTB and LTB and might predispose to the increased risk of tuberculosis by this immunomodulatory effect.

Published
2023

13. Data Lakehouse in Action

Author

Menon, Pradeep, Menon, Pradeep, Menon, Pradeep, and Menon, Pradeep

Abstract

Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an organization's needs and maturity levelBook DescriptionThe Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success.The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application.By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner.What you will learnUnderstand the evolution of the Data Architecture patterns for analyticsBecome well versed in the Data Lakehouse pattern and how it enables data analyticsFocus on methods to ingest

Published
2022

14. Prevalence of proximate risk factors of active tuberculosis in latent tuberculosis infection: A cross-sectional study from South India

Author

Munisankar, Saravanan, Rajamanickam, Anuradha, Balasubramanian, Suganthi, Muthusamy, Satishwaran, Menon, Pradeep Aravindan, Ahamed, Shaik Fayaz, Whalen, Christopher, Gumne, Paschaline, Kaur, Inderdeep, Nadimpalli, Varma, Deverakonda, Akshay, Chen, Zhenhao, Otto, John David, Habitegiyorgis, Tesfalidet, Kandaswamy, Harish, and Babu, Subash

Subjects
Adult, Male, Glycated Hemoglobin, Malnutrition, Public Health, Environmental and Occupational Health, India, Prediabetic State, Cross-Sectional Studies, Latent Tuberculosis, Risk Factors, Hypertension, Prevalence, Diabetes Mellitus, Humans, Tuberculosis, Female, Obesity
Abstract

The prevalence of proximate risk factors for active tuberculosis (TB) in areas of high prevalence of latent tuberculosis infection (LTBI) is not clearly understood. We aimed at assessing the prevalence of non-communicable multi-morbidity focusing on diabetes mellitus (DM), malnutrition, and hypertension (HTN) as common risk factors of LTBI progressing to active TB. In a cross-sectional study, 2,351 adults (45% male and 55% female) from villages in the Kancheepuram district of South India were enrolled between 2013 and 2020. DM was defined as HbA1c >6.4%, undernutrition was defined as low body mass index (LBMI) 2, obesity was classified as BMI ≥25 kg/m2, HTN was reported as systolic pressure >130 mmHg, and LTBI was defined as positive (≥ 0.35 international units/ml) by QuantiFERON Gold In-Tube assay. A total of 1,226 individuals (52%) were positive for LTBI out of 2351 tested individuals. The prevalence of DM and pre-diabetes mellitus (PDM) was 21 and 35%, respectively, HTN was 15% in latent tuberculosis (LTB)-infected individuals. The association of DM [odds ratio (OR)]; adjusted odds ratio (aOR) (OR = 1.26, 95% CI: 1.13–1.65; aOR = 1.19, 95% CI: 1.10–1.58), PDM (OR = 1.11, 95% CI: 1.0–1.35), and HTN (OR = 1.28, 95% CI: 1.11–1.62; aOR = 1.18, 95% CI: 1.0–1.56) poses as risk factors of LTBI progression to active TB. The prevalence of LBMI 9% (OR = 1.07, 95% CI: 0.78–1.48) and obesity 42% (OR = 0.85, 95% CI: 0.70–1.03) did not show any statistically significant association with LTB-infected individuals. The present evidence of a high burden of multi-morbidity suggests that proximate risk factors of active TB in LTBI can be managed by nutrition and lifestyle modification.

Published
2022

17. Seroprevalence of Strongyloides stercoralis infection in a South Indian adult population

Author

Munisankar, Saravanan, primary, Rajamanickam, Anuradha, additional, Balasubramanian, Suganthi, additional, Muthusamy, Satishwaran, additional, Dolla, Chandra Kumar, additional, Menon, Pradeep Aravindan, additional, Chinnayan, Ponnuraja, additional, Whalen, Christopher, additional, Gumne, Paschaline, additional, Kaur, Inderdeep, additional, Nadimpalli, Varma, additional, Deverakonda, Akshay, additional, Chen, Zhenhao, additional, David Otto, John, additional, Habitegiyorgis, Tesfalidet, additional, Kandaswamy, Harish, additional, Nutman, Thomas B., additional, and Babu, Subash, additional

Published
2022
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20. Baseline IL-6 is a biomarker for unfavourable tuberculosis treatment outcomes: a multisite discovery and validation study

Author

Gupte, Akshay N., primary, Kumar, Pavan, additional, Araújo-Pereira, Mariana, additional, Kulkarni, Vandana, additional, Paradkar, Mandar, additional, Pradhan, Neeta, additional, Menon, Pradeep, additional, Padmapriyadarsini, Chandrasekaran, additional, Hanna, Luke-Elizabeth, additional, Yogendra Shivakumar, Shri Vijay Bala, additional, Rockwood, Neesha, additional, Du Bruyn, Elsa, additional, Karyakarte, Rajesh, additional, Gaikwad, Sanjay, additional, Bollinger, Robert, additional, Golub, Jonathan, additional, Gupte, Nikhil, additional, Viswanathan, Vijay, additional, Wilkinson, Robert J., additional, Mave, Vidya, additional, Babu, Subash, additional, Kornfeld, Hardy, additional, Andrade, Bruno B., additional, and Gupta, Amita, additional

Published
2021
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22. Prevalence of bacteriologically confirmed pulmonary tuberculosis and associated risk factors: A community survey in Thirvallur District, south India

Author

Dolla, Chandra Kumar, primary, Dhanaraj, Bhaskaran, additional, Chandrasekaran, Padmapriyadarsini, additional, Selvaraj, Sriram, additional, Menon, Pradeep Aravindan, additional, Thiruvengadam, Kannan, additional, Krishnan, Rajendran, additional, Mondal, Rajesh, additional, Malaisamy, Muniyandi, additional, Marinaik, Srinivasa B., additional, Murali, Lakshmi, additional, and Tripathy, Srikanth Prasad, additional

Published
2021
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25. Localized Pulmonary Mycobacterium avium Disease in HIV-Infected Patients Without Access to HAART

Author

Swaminathan, Soumya, Padmapriyadarsini, C., Ramachandran, Ranjani, Menon, Pradeep A., Mohan, Nalini S., Kubendiran, G., and Paramasivan, C.N.

Subjects
Mycobacterium avium complex -- Health aspects -- Research, Mycobacterial infections -- Causes of -- Drug therapy -- Research, HIV patients -- Health aspects -- Drug therapy, Health, Drug therapy, Research, Health aspects, Causes of
Abstract

264 Localized Pulmonary Mycobacterium avium Disease in HIV-Infected Patients Without Access to HAART SAGE Publications, Inc.200710.1177/1545109707303940 SoumyaSwaminathan MD, DNB Tuberculosis Research Centre (ICMR), Chetput, Chennai, doctorsoumya@yahoo.com C.Padmapriyadarsini MBBS, MNAMS DNB [...]

Published
2007
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26. Prevalence of Igg Antibodies Against SARS-CoV-2 Among the General Population and Healthcare Workers in India, June–July 2021

Author

Murhekar, Manoj V., primary, Bhatnagar, Tarun, additional, Thangaraj, Jeromie Wesley Vivian, additional, Saravanakumar, V., additional, Kumar, Muthusamy Santhosh, additional, Selvaraju, Sriram, additional, Rade, Kirankumar, additional, Kumar, C.P. Girish, additional, Sabarinathan, R., additional, Turuk, Alka, additional, Krishnan, Nivethitha N., additional, Robinson, Aby, additional, Srinivasan, Nivetha, additional, Asthana, Smita, additional, Balachandar, Rakesh, additional, Bangar, Sampada Dipak, additional, Bansal, Avi Kumar, additional, Bhat, Jyothi, additional, Chopra, Vishal, additional, Das, Dasarathi, additional, Deb, Alok Kumar, additional, Devi, Kangjam Rekha, additional, Dwivedi, Gaurav Raj, additional, Khan, S. Muhammad Salim, additional, Kumar, M. Sunil, additional, Laxmaiah, Avula, additional, Madhukar, Major, additional, Mahapatra, Amarendra, additional, Rangaraju, Chethana, additional, Turuk, Jyotirmayee, additional, Yadav, Suresh, additional, Anand, P. K., additional, Andhalkar, Rushikesh, additional, Arlappa, Nimmathota, additional, Bashir, Khalid, additional, Baradwaj, Dinesh Kumar, additional, Bharti, Pravin, additional, Bhattacharya, Debdutta, additional, Behera, Sthita Pragnya, additional, Chahal, Ashrafjit S., additional, Chakraborty, Debjit, additional, Chaudhury, Anshuman, additional, Deval, Hirawati, additional, Dhatrak, Sarang, additional, Dhikav, Vikas, additional, Dayal, Rakesh, additional, Giridharan, Prathiksha, additional, Haq, Inaamul, additional, Jagjeevan, Babu, additional, Jain, Agam, additional, Kalliath, Arshad, additional, Kanungo, Srikanta, additional, Karunakaran, T., additional, Kshatri, Jaya Singh, additional, Kumar, Niraj, additional, Kumar, Vijay, additional, Kumar, V.G. Vinod, additional, Naga Lakshmi, Gangeti Gandhi Jayanthi, additional, Mehta, Ganesh, additional, Mitra, Anindya, additional, Nagbhushanam, K., additional, Nirmala, A.R., additional, Palo, Subrat Kumar, additional, Pandey, Ashok Kumar, additional, Prasad, Ganta Venkata, additional, Pucha, Uday Kumar, additional, Qurieshi, Mariya Amin, additional, Sabaharwal, Vikas, additional, Sahay, Seema, additional, Sangwan, Ramesh Kumar, additional, Saxena, Rochak, additional, Sekar, Krithikaa, additional, Shukla, Vijay Kumar, additional, Singh, Hari Bhan, additional, Singh, Prashant Kumar, additional, Singh, Pushpendra, additional, Singh, Rajeev, additional, Thakor, Mahendra, additional, Varma, Dantuluri Sheethal, additional, Viramgami, Ankit, additional, Menon, Pradeep A., additional, Yadav, Rajiv, additional, Yadav, Surabhi, additional, Singh, Manjula, additional, Chakrabarti, Amit, additional, Das, Aparup, additional, Dutta, Shanta, additional, Kant, Rajni, additional, Khan, A.M., additional, Narain, Kanwar, additional, Narasimhaiah, Somashekar, additional, Padmapriyadarshini, Chandrasekaran, additional, Pandey, Krishna, additional, Pati, Sanghamitra, additional, Rajkumar, Hemalatha, additional, Ramesh, T., additional, Sharma, Arun Kumar, additional, Sharma, Y.K., additional, Singh, Shalini, additional, Panda, Samiran, additional, Reddy, D.C.S., additional, and Bhargava, Balram, additional

Published
2021
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29. Spoligotype Diversity of Mycobacterium tuberculosis over Two Decades from Tiruvallur, South India

Author

Siva Kumar, S., primary, Ashok Kumar, S., additional, Sekar, Gomathi, additional, Devika, K., additional, Bhasker, M., additional, Sriram, S., additional, Dolla, C. K., additional, Menon, Pradeep Aravindan, additional, Tripathy, Srikanth Prasad, additional, Narayanan, P. R., additional, Ranganathan, Uma Devi, additional, Narayanan, Sujatha, additional, and Mondal, Rajesh, additional

Published
2020
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41. Additional file 5: of Elevated levels of matrix metalloproteinases reflect severity and extent of disease in tuberculosis-diabetes co-morbidity and are predominantly reversed following standard anti-tuberculosis or metformin treatment

Author

Nathella Kumar, Kadar Moideen, Viswanathan, Vijay, Basavaradhya Shruthi, Sivakumar, Shanmugam, Menon, Pradeep, Kornfeld, Hardy, and Subash Babu

Subjects
endocrine system, endocrine system diseases, digestive, oral, and skin physiology, nutritional and metabolic diseases
Abstract

Table S5. MMPs were measured in KDM individuals on metformin treatment versus no metformin treatment at baseline and 6Â months of ATT. (DOCX 13 kb)

Published
2018
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42. Additional file 3: of Elevated levels of matrix metalloproteinases reflect severity and extent of disease in tuberculosis-diabetes co-morbidity and are predominantly reversed following standard anti-tuberculosis or metformin treatment

Author

Nathella Kumar, Kadar Moideen, Viswanathan, Vijay, Basavaradhya Shruthi, Sivakumar, Shanmugam, Menon, Pradeep, Kornfeld, Hardy, and Subash Babu

Abstract

Table S3. The plasma levels of MMPs were measured in TB-DM individuals cavitary versus non-cavitary disease and bilateral versus unilateral disease. (DOCX 13 kb)

Published
2018
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43. Additional file 1: of Elevated levels of matrix metalloproteinases reflect severity and extent of disease in tuberculosis-diabetes co-morbidity and are predominantly reversed following standard anti-tuberculosis or metformin treatment

Author

Nathella Kumar, Kadar Moideen, Viswanathan, Vijay, Basavaradhya Shruthi, Sivakumar, Shanmugam, Menon, Pradeep, Kornfeld, Hardy, and Subash Babu

Abstract

Table S1. The plasma levels of MMPs were measured in TB-DM (n = 64), TB (n = 24) and HC (n = 24). (DOCX 14 kb)

Published
2018
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44. Additional file 2: of Elevated levels of matrix metalloproteinases reflect severity and extent of disease in tuberculosis-diabetes co-morbidity and are predominantly reversed following standard anti-tuberculosis or metformin treatment

Author

Nathella Kumar, Kadar Moideen, Viswanathan, Vijay, Basavaradhya Shruthi, Sivakumar, Shanmugam, Menon, Pradeep, Kornfeld, Hardy, and Subash Babu

Subjects
endocrine system
Abstract

Table S2. The plasma levels of MMPs were measured in TB-DM individuals at baseline (pre-T) and at 6Â months of ATT (post-T). (DOCX 13 kb)

Published
2018
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45. Additional file 4: of Elevated levels of matrix metalloproteinases reflect severity and extent of disease in tuberculosis-diabetes co-morbidity and are predominantly reversed following standard anti-tuberculosis or metformin treatment

Author

Nathella Kumar, Kadar Moideen, Viswanathan, Vijay, Basavaradhya Shruthi, Sivakumar, Shanmugam, Menon, Pradeep, Kornfeld, Hardy, and Subash Babu

Abstract

Table S4. The plasma levels of MMPs were measured in TB-DM individuals with known diabetes (KDM) versus newly diagnosed diabetes (NDM) at baseline and 6Â months of ATT. (DOCX 13 kb)

Published
2018
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46. Targeting the Permo-Triassic Tight Gas in the Khuff: Lessons Learned in the Journey towards Development, Offshore Abu Dhabi, UAE

Author

Steiner, Stefan, additional, Dasgupta, Suvodip, additional, Basioni, Mahmoud, additional, Al Aryani, Fatima, additional, Noufal, Abdelwahab, additional, Mills, Carey, additional, Mandl, Johannes, additional, Menon, Pradeep, additional, Raina, Ishan, additional, Mosse, Laurent, additional, Shasmal, Sudipan, additional, Hollaender, Florian, additional, Ali, Humair, additional, Al Afeefi, Baraka, additional, and Sookram, Neil, additional

Published
2018
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