7 results on '"Hirawati Deval"'
Search Results
2. SARS-CoV-2 antibody seroprevalence in India, August–September, 2020: findings from the second nationwide household serosurvey
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Shanta Dutta, Harpreet Singh Pawar, Giridhara R Babu, V. Saravanakumar, Kanwar Narain, Ezhilarasan Ilayaperumal, Sanjay Zodpey, Babu Jagjeevan, Swarup Sarkar, Srikanta Kanungo, Tekumalla Ramarao, Vijay K. Shukla, Jaya Singh Kshatri, Ashrafjit S. Chahal, Aparup Das, Balram Bhargava, Hari Bhan Singh, R Anusha, Chethana Rangaraju, Dinesh Kumar Baradwaj, Smita Asthana, Ravindra Mohan Pandey, Prashant Singh, T Sivakumar, Krithikaa Sekar, Dasarathi Das, Arlappa Nimmathota, Sampada Dipak Bangar, Kamran Zaman, M. Sunil Kumar, Sujeet Kumar Singh, R. Sabarinathan, Naman Shah, Hirawati Deval, Arshad Kalliath, K Kalaiyarasi, Kamalesh Sarkar, Muthusamy Santhosh Kumar, Seema Sahay, Rajiv Yadav, Sanket Kulkarni, Alok Kumar, Vishal Chopra, Rajeev Gupta, C. P. Girish Kumar, Rajeev K. Singh, Kiran Rade, Kangjam Rekha Devi, Shripad A. Patil, Alka Turuk, T Karunakaran, Jyothi Bhat, Annamma Jose, J P Muliyil, Kushal Singh Rathore, Shalini Singh, Tanzin Dikid, Nivethitha N Krishnan, A.R. Nirmala, Hemalatha Rajkumar, G G J Naga Lakshmi, Shashi Kant, Avula Laxmaiah, Major Madhukar, Pradeep Das, Amarendra Mahapatra, Manoj V Murhekar, Gaurav Raj Dwivedi, Pushpendra Singh, Jeromie Wesley Vivian Thangaraj, Sarang Dhatrak, Tanu Anand, K Kiran, Gurudayal S Toteja, Ankit Viramgami, Rakesh Balachandar, Ganta Venkata Prasad, Sauvik Dasgupta, Samiran Panda, Ashok Kumar Pandey, Sanghamitra Pati, Suman Sundar Mohanty, Dantuluri Sheethal Varma, S. Muhammad Salim Khan, Vimith Cheruvathoor Wilson, Mariya Amin Qurieshi, Anshuman Chaudhury, Sriram Selvaraju, Alok Kumar Deb, Avi Kumar Bansal, Tarun Bhatnagar, D C S Reddy, Himanshu Chauhan, Rushikesh Andhalkar, Ashwini Yadav, Inaamul Haq, Falguni Debnath, Rajni Kant, Josephine Pradhan, Anindya Mitra, Somashekar Narasimhaiah, Ramesh Kumar Sangwan, Raman R. Gangakhedkar, Aakash Shrivastava, VG Vinoth Kumar, Ramesh Chandra Jha, Aby Robinson, and K. Nagbhushanam
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Adult ,Male ,Adolescent ,Coronavirus disease 2019 (COVID-19) ,Cross-sectional study ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,030231 tropical medicine ,Population ,India ,Antibodies, Viral ,03 medical and health sciences ,0302 clinical medicine ,Seroepidemiologic Studies ,Prevalence ,Humans ,Medicine ,Seroprevalence ,030212 general & internal medicine ,Occupations ,Child ,education ,education.field_of_study ,biology ,SARS-CoV-2 ,business.industry ,COVID-19 ,Articles ,General Medicine ,Middle Aged ,Serum samples ,Cross-Sectional Studies ,Immunoglobulin G ,biology.protein ,Female ,Antibody ,Rural area ,business ,Demography - Abstract
BACKGROUND: The first national severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serosurvey in India, done in May-June, 2020, among adults aged 18 years or older from 21 states, found a SARS-CoV-2 IgG antibody seroprevalence of 0·73% (95% CI 0·34-1·13). We aimed to assess the more recent nationwide seroprevalence in the general population in India. METHODS: We did a second household serosurvey among individuals aged 10 years or older in the same 700 villages or wards within 70 districts in India that were included in the first serosurvey. Individuals aged younger than 10 years and households that did not respond at the time of survey were excluded. Participants were interviewed to collect information on sociodemographics, symptoms suggestive of COVID-19, exposure history to laboratory-confirmed COVID-19 cases, and history of COVID-19 illness. 3-5 mL of venous blood was collected from each participant and blood samples were tested using the Abbott SARS-CoV-2 IgG assay. Seroprevalence was estimated after applying the sampling weights and adjusting for clustering and assay characteristics. We randomly selected one adult serum sample from each household to compare the seroprevalence among adults between the two serosurveys. FINDINGS: Between Aug 18 and Sept 20, 2020, we enrolled and collected serum samples from 29â082 individuals from 15â613 households. The weighted and adjusted seroprevalence of SARS-CoV-2 IgG antibodies in individuals aged 10 years or older was 6·6% (95% CI 5·8-7·4). Among 15â084 randomly selected adults (one per household), the weighted and adjusted seroprevalence was 7·1% (6·2-8·2). Seroprevalence was similar across age groups, sexes, and occupations. Seroprevalence was highest in urban slum areas followed by urban non-slum and rural areas. We estimated a cumulative 74·3 million infections in the country by Aug 18, 2020, with 26-32 infections for every reported COVID-19 case. INTERPRETATION: Approximately one in 15 individuals aged 10 years or older in India had SARS-CoV-2 infection by Aug 18, 2020. The adult seroprevalence increased approximately tenfold between May and August, 2020. Lower infection-to-case ratio in August than in May reflects a substantial increase in testing across the country. FUNDING: Indian Council of Medical Research.
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- 2021
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3. An Epidemiological Analysis of SARS-CoV-2 Genomic Sequences from Different Regions of India
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Sudha Rani, Yash Joshi, Subhash Chand Jaryal, Balram Bhargava, Triparna Majumdar, Anjani Gopal, Tara Sharma, Sharmila Raut, Bharti Malhotra, Bashir Ahmad Fomda, Anudita Bhargava, Neetu Vijay, Rupinder Bakshi, Biswajyoti Borkakoty, Tapan Majumdar, Usha Kalawat, Anita M. Shete, Manoj Kumar, Shanta Dutta, Nivedita Gupta, Sulochna Devi, Dimpal A Nyayanit, Mini P Singh, Harmanmeet Kaur, Rima R Sahay, Disha Patel, Pragya D Yadav, Attayur P. Sugunan, Kaveri Krishnasamy, Abhinendra Kumar, Vinita Rawat, Priya Abraham, Hirawati Deval, Sarita Yadav, Jayanti Shastri, Debasis Biswas, Jitendra Narayan, Amita Jain, Ashok Munivenkatappa, Vijaylakshmi Nag, Priyanka Pandit, Jyotirmayee Turuk, Sarah S. Cherian, Samiran Panda, Varsha Potdar, Savita Patil, Neeraj Aggarwal, and Santwana Verma
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0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,030106 microbiology ,Zoology ,India ,Genome, Viral ,Biology ,Microbiology ,Virus ,Article ,03 medical and health sciences ,Phylogenetics ,Virology ,Epidemiology ,medicine ,Humans ,Clade ,Phylogeny ,SARS-CoV-2 ,clades ,COVID-19 ,High-Throughput Nucleotide Sequencing ,Genomics ,Middle Aged ,QR1-502 ,Phylogeography ,030104 developmental biology ,Infectious Diseases ,Viral evolution ,NGS ,Mutation ,Female ,epidemiology ,Host adaptation ,Early phase - Abstract
The number of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) cases is increasing in India. This study looks upon the geographic distribution of the virus clades and variants circulating in different parts of India between January and August 2020. The NPS/OPS from representative positive cases from different states and union territories in India were collected every month through the VRDLs in the country and analyzed using next-generation sequencing. Epidemiological analysis of the 689 SARS-CoV-2 clinical samples revealed GH and GR to be the predominant clades circulating in different states in India. The northern part of India largely reported the ‘GH’ clade, whereas the southern part reported the ‘GR’, with a few exceptions. These sequences also revealed the presence of single independent mutations—E484Q and N440K—from Maharashtra (first observed in March 2020) and Southern Indian States (first observed in May 2020), respectively. Furthermore, this study indicates that the SARS-CoV-2 variant (VOC, VUI, variant of high consequence and double mutant) was not observed during the early phase of virus transmission (January–August). This increased number of variations observed within a short timeframe across the globe suggests virus evolution, which can be a step towards enhanced host adaptation.
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- 2021
4. Genetic characterization of dengue virus serotype 2 isolated from dengue fever outbreaks in eastern Uttar Pradesh and western Bihar, India
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Gajanan Patil, Rajeev Singh, Hirawati Deval, Vanka Janardhan, Vijay P. Bondre, Kamlesh Kumar Sah, S. Behera, Niraj Kumar, Brijranjan Misra, Awdhesh Agrawal, and Ravishankar Singh
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Serotype ,Genotype ,India ,Dengue virus ,Biology ,medicine.disease_cause ,Serogroup ,Genetic analysis ,law.invention ,Dengue fever ,Disease Outbreaks ,Dengue ,03 medical and health sciences ,0302 clinical medicine ,law ,Virology ,Genetic variation ,medicine ,Humans ,030212 general & internal medicine ,Severe Dengue ,Polymerase chain reaction ,Phylogeny ,Outbreak ,Dengue Virus ,medicine.disease ,Infectious Diseases ,RNA, Viral ,030211 gastroenterology & hepatology - Abstract
Dengue (DEN) is the most common cause of mosquito-borne endemic viral diseases in the tropical and subtropical countries. DEN outbreaks associated with multiple dengue virus (DV) serotypes have been regularly reported in different parts of India. This study was done during DEN outbreaks in 2015 to 2016 in UP and Bihar where DEN-2 was found as the only prevalent serotype. DV-2 was the only serotype amplified in serotype-specific reverse-transcription polymerase chain reaction from sera of 210 (65.21%) out of 322 DV NS1 antigen-positive patients. Further genetic analysis based on full-length envelope (E) protein sequence derived from patient's sera as well as DV isolate showed the circulation of lineages I and III of DV-2 cosmopolitan genotype during 2015 and lineage II during 2016. Finally, the phylogenetic analysis using the E gene sequence revealed that these DV-2 strains have a close genetic relationship with the recently reported DV-2 genotypes from DEN outbreaks reported from different parts of north India. These results showed the circulation of cosmopolitan genotype of DV-2 in eastern Uttar Pradesh and western Bihar, India. The genetic database generated on circulating DV strains in this study will be useful as reference for disease surveillance and strengthening laboratory diagnosis protocols.
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- 2020
5. Acute Encephalitis Syndrome in Gorakhpur, Uttar Pradesh, 2016
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John Antony Jude Prakash, Nivedita Gupta, Mahima Mittal, Mahim Mittal, Winsley Rose, Jeromie Wesley Vivian Thangaraj, Hirawati Deval, Gajanan Patil, Valsan Philip Verghese, Manish M Gupte, Manoj V Murhekar, Mohan D Gupte, Ramsamy Sabarinathan, Vijay P. Bondre, and K Kanagasabai
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Male ,0301 basic medicine ,Microbiology (medical) ,Pediatrics ,medicine.medical_specialty ,030106 microbiology ,India ,Polymerase Chain Reaction ,Disease Outbreaks ,Dengue ,03 medical and health sciences ,parasitic diseases ,Acute Febrile Encephalopathy ,Humans ,Medicine ,Child ,Encephalitis, Japanese ,business.industry ,Infant ,Outbreak ,Rickettsia Infections ,medicine.disease ,Hospitalization ,Infectious Diseases ,Immunoglobulin M ,Scrub Typhus ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Acute encephalitis ,Female ,Seasons ,business ,Uttar pradesh ,Encephalitis - Abstract
Seasonal outbreaks of acute encephalitis syndrome (AES) with high fatality have been occurring in Gorakhpur, Uttar Pradesh, India, for several years. We conducted investigations during the 2016 outbreak to identify the etiology.We included 407 hospitalized AES patients with cerebrospinal fluid pleocytosis (5 cells/mm) in our study. These patients were clinically examined; their blood and cerebrospinal fluid samples were collected and investigated for scrub typhus (ST), Japanese encephalitis virus (JEV), dengue virus and spotted fever group of Rickettsia by serology and/or polymerase chain reaction.Of the 407 AES patients, 266 (65.4%), 42 (10.3%) and 29 (7.1%) were diagnosed to have ST, JEV and dengue infection, respectively. Four patients were diagnosed to have spotted fever group of Rickettsia infection. A significantly higher proportion of ST patients with AES had hepatomegaly, splenomegaly and facial edema. The common hematologic and biochemical abnormalities among ST-positive patients include thrombocytopenia, raised liver enzymes and bilirubin levels. The case fatality ratio was significantly higher among ST-negative AES patients (36.2% vs. 15.2%; P0.05).ST accounted for approximately two third of the AES case-patients. Efforts are required to identify the etiology of AES case-patients who are negative for ST, JEV and dengue fever.
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- 2018
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6. Association of single nucleotide polymorphisms in TNFA and CCR5 genes with Japanese Encephalitis: A study from an endemic region of North India
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Aniket Gondhalekar, Deepika Chowdhary, Mahima Mittal, Kalichamy Alagarasu, R.V. Bachal, Urmila Chaudhary, Neha Srivastava, Hirawati Deval, and Vijay P. Bondre
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0301 basic medicine ,Male ,Endemic Diseases ,Receptors, CCR5 ,Immunology ,India ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,Genotype ,medicine ,Immunology and Allergy ,Humans ,Interleukin 8 ,Allele ,Child ,Encephalitis, Japanese ,Gene ,Genetics ,Tumor Necrosis Factor-alpha ,Haplotype ,Japanese encephalitis ,medicine.disease ,Interleukin 10 ,030104 developmental biology ,Neurology ,Child, Preschool ,Female ,Neurology (clinical) ,030217 neurology & neurosurgery - Abstract
TNFA, IL1B, HMGB1, IL10, CXCL8, CCL2 and CCR5 gene polymorphisms were investigated in 183 Japanese Encephalitis (JE) cases and 361 healthy controls from North India. Higher frequency of TNFA rs1800629 G/A, CCR5 rs1799987 genotypes with A allele and lower frequency of combination lacking TNFA rs1800629 A, CCR5 rs333 Δ32, andCCR5 rs1799987 A alleles and CCL2 rs1024611 G/G genotype was observed in JE cases. TNFA rs1800629 A and CCR5 rs1799987 A alleles were associated with susceptibility while combination lacking TNFA rs1800629 A, CCR5 rs333 Δ32, and rs1799987 A alleles and CCL2 rs1024611 G/G genotype was associated with protection to JE.
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- 2019
7. TlyA protein of Mycobacterium leprae: a probable bio-marker of active infection
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Tahziba Hussain, Devendra Singh Chauhan, Rakesh Gupta, Avnish Kumar, Kiran Katoch, Raj Kamal, Anil K. Tyagi, Vishwa Mohan Katoch, Virendra Singh Yadav, and Hirawati Deval
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0301 basic medicine ,Virulence ,Enzyme-Linked Immunosorbent Assay ,Phagolysosome ,Microbiology ,03 medical and health sciences ,Hemolysin Proteins ,Bacterial Proteins ,Leprosy ,Medicine ,Humans ,Gene ,Mycobacterium leprae ,General Environmental Science ,Expression vector ,biology ,business.industry ,biology.organism_classification ,Open reading frame ,030104 developmental biology ,Real-time polymerase chain reaction ,General Earth and Planetary Sciences ,business ,Intracellular ,Biomarkers - Abstract
The extent of pathogenicity of the mycobacterial infections depends on virulence factors that mediate survival inside macrophages. Virulence factors are generally believed to be specific for pathogenic species and mutated/non-functional in nonpathogenic strains. Mycobacterial TlyA can modulate the phagolysosome maturation pathway, immediately after entry into macrophages. Over-expression of open reading frame (ORF) ML1358 (tlyA) in tissues of leprosy patients by partial DNA chip and real time PCR analysis during active infection attracted our interest to explore the properties of this gene at molecular and serological levels, to understand its role in the host. Molecular properties were studied by cloning and expression of the corresponding gene in pASK-iba 43(þ) expression vector in E. coli and bioinformatics tools while sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and ELISA were applied to investigate the serological significance of rTlyA protein in different clinical states of leprosy. We observed that TlyA has a close relation among mycobacteria with specific protein domains in slow growing intracellular adapted pathogenic species. The presence of trans-membrane domains indicates its association to the cell membrane. The study revealed its highly significant sero-reactivity (P value , 0·001) in borderline lepromatous (BL) patients, and those with reversal reaction (RR) and erythema nodosum leprosum (ENL). Its role in active infection, association with the cell membrane, presence in pathogenic species and high sero-reactivity, suggested the tlyA gene as a strong disease progression marker.
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- 2018
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