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1.
Anup Agarwal; Aparna Mukherjee; Gunjan Kumar; Pranab Chatterjee; Tarun Bhatnagar; Pankaj Malhotra; B Latha; Sunita Bundas; Vivek Kumar; Ravi Dosi; Janak Kumar Khambholja; Rosemarie de Souza; Raja Rao Mesipogu; Saurabh Srivastava; Simmi Dube; Kiran Chaudhary; Subash S; S. Anbuselvi Mattuvar K; V Rajendran; A Sundararajaperumal; P Balamanikandan; R S Uma Maheswari; R Jayanthi; S Ragunanthanan; Sudhir Bhandari; Ajeet Singh; Ashok Pal; Anjali Handa; Govind Rankawat; Ketan Kargirwar; Joyce Regi; Darshana Rathod; Edwin Pathrose; Nirankar Bhutaka; Mayur H Patel; Rahul J Verma; Kamal Malukani; Shivani Patel; Apurv Thakur; Satish Joshi; Rashmi Kulkarni; Nilay N Suthar; Nehal M Shah; Hemang M Purohit; Cherry K Shah; Monila N Patel; Saket Shah; Smit H Shah; Tehsim Memon; Vishal R Beriwala; Kusum Jashnani; Fatema Ezzy; Simran Agrawal; Rakesh Bhadade; Atish M N; Tushar Madke; Vikash Kavishwar; Ramesh Waghmare; Nitin Valvi; B Thrilok Chander; A Vinaya Sekhar; Akhilesh Kumar Maurya; K Hemanth; K Nagamani; K Sudha; T Ravi Chandra; K Tushara Rao; J Vyshnavi; Rashmi Upadhyay; Shalini Bahadur; Rambha Pathak; Shikha Seth; Rakesh Gupta; Rita Saxena; Preksha Dwivedi; Reeni Malik; Deepti Chourasia; Jaya Lalwani; UM Sharma; JL Marko; Amit Suri; Vijay Kumar; Rajnish Kaushik; Parul Kodan; Bhabani Prasad Acharya; Kuldeep Kumar Gaur; Anubhav Gupta; Prerna Sachdeva; Shruti Dogra; Aikaj Jindal; M Joseph John; Avtar Singh Dhanju; Ranjana Khetrepal; Neeraj Sharma; Neetu Kukar; Divya Kavita; Rajesh Kumar; Rajesh Mahajan; Gurpreet Singh; Jaspreet Kaur; Raminder Pal Singh; Rajni Bassi; Swapneil Parikh; Om Shrivastav; Jayanthi Shastri; Maherra Desai; Shreevatsa Udupa; Varun A Bafna; Vijay Barge; Rajendra Madane; Sheetal Yadav; Sanjeev Mishra; Archana Bajpayee; M K Garg; G K Bohra; Vijaylakshmi Nag; Puneeth Babu Anne; Mohd Nadeem; Pallavi Singh; Ram Niwas; Niranjan Shiwaji Khaire; Rattiram Sharma; Mini p Singh; Naresh Sachdeva; Suchet Sachdev; Rekha Hans; Vikas Suri; L N Yaddanapudi; PVM Lakshmi; Neha Singh; Divendu Bhushan; Neeraj Kumar; Muralidhar Tambe; Sonali Salvi; Nalini Kadgi; Shashikala Sangle; Leena Nakate; Samir Joshi; Rajesh Karyakarte; Suraj Goyanka; Nimisha Sharma; Nikhil Verma; Asim Das; Monika Bahl; Nitya Wadhwa; Shreepad Bhat; Shweta Deshmukh; Vrushali Wagh; Atul Kulkarni; Tanvi Yardi; Ram S Kalgud; Purushottam Reddy; Kavitha Yevoor; Prashanth Gajula; Vivek Maleyur; Medini S; Mohith HN; Anil Gurtoo; Ritika Sud; Sangeeta Pahuja; Anupam Prakash; Parijat Gogoi; Shailja Shukla; D Himanshu Reddy; Tulika Chandra; Saurabh Pandey; Pradeep Maurya; Ali Wahid; Vivek Kumar; Kamlesh Upadhyay; Nidhi Bhatnagar; Nilima Shah; Mamta Shah; Tarak Patel; Ram Mohan Jaiswal; Ashish Jain; Shweta Sharma; Puneet Rijhwani; Naveen Gupta; Tinkal C Patel; Mahesh G Solu; Jitendra Patel; Yash R Shah; Mayur Jarag; Varsha Godbole; Meenakshi Shah; Rikin Raj; Irfan Nagori; Pramod R Jha; Arti D Shah; Gowtham Yeeli; Archit Jain; Rooppreet Kaur Gill; KV Sreedhar Babu; B Suresh Babu; Alladi Mohan; B Vengamma; K Chandra Sekhar; Srinivasulu Damam; K Narsimhulu; C Aparna; G Baleswari; Ravindranath Reddy K; P Chandrasekhar; Sunil Jodharam Panjwani; Pankaj J Akholkar; Kairavi Parthesh Joshi; Pragnesh H Shah; Manish Barvaliya; Milind Baldi; Ashok Yadav; Manoj Gupta; Nitin Rawat; Dilip Chawda; M Natarajan; M Sintha; David Pradeep Kumar; Fathhur Rabbani; Vrushali Khirid Khadke; Dattatray Patki; Sonali Marathe; Clyde D Souza; Vipul Tadha; Satyam Arora; Devendra Kumar Gupta; Seema Dua; Nitu Chauhan; Ajeet Singh Chahar; Joy John Mammen; Snehil Kumar; Dolly Daniel; Ravindraa Singh; Venkatesh Dhat; Yogesh Agarwal; Sohini Arora; Ashish Pathak; Manju Purohit; Ashish Sharma; Jayashree Sharma; Manisha Madkaikar; Kavita Joshi; Reetika Malik Yadav; Swarupa Bhagwat; Niteen D Karnik; Yojana A Gokhale; Leena Naik; Sangita Margam; Santasabuj Das; Alka Turuk; V Saravana Kumar; K Kanagasabai; R Sabarinathan; Gururaj Deshpande; Sharda Sharma; Rashmi Gunjikar; Anita Shete; Darpan Phagiwala; Chetan Patil; Snehal Shingade; Kajal Jarande; Himanshu Kaushal; Pragya Yadav; Gajanan Sapkal; Priya Abraham.
Preprint en Inglés | medRxiv | ID: ppmedrxiv-20187252

RESUMEN

ObjectivesConvalescent plasma (CP) as a passive source of neutralizing antibodies and immunomodulators is a century-old therapeutic option used for the management of viral diseases. We investigated its effectiveness for the treatment of COVID-19. DesignOpen-label, parallel-arm, phase II, multicentre, randomized controlled trial. SettingThirty-nine public and private hospitals across India. ParticipantsHospitalized, moderately ill confirmed COVID-19 patients (PaO2/FiO2: 200-300 or respiratory rate > 24/min and SpO2 [≤] 93% on room air). InterventionParticipants were randomized to either control (best standard of care (BSC)) or intervention (CP + BSC) arm. Two doses of 200 mL CP was transfused 24 hours apart in the intervention arm. Main Outcome MeasureComposite of progression to severe disease (PaO2/FiO2< 100) or all-cause mortality at 28 days post-enrolment. ResultsBetween 22nd April to 14th July 2020, 464 participants were enrolled; 235 and 229 in intervention and control arm, respectively. Composite primary outcome was achieved in 44 (18.7%) participants in the intervention arm and 41 (17.9%) in the control arm [aOR: 1.09; 95% CI: 0.67, 1.77]. Mortality was documented in 34 (13.6%) and 31 (14.6%) participants in intervention and control arm, respectively [aOR) 1.06 95% CI: -0.61 to 1.83]. InterpretationCP was not associated with reduction in mortality or progression to severe COVID-19. This trial has high generalizability and approximates real-life setting of CP therapy in settings with limited laboratory capacity. A priori measurement of neutralizing antibody titres in donors and participants may further clarify the role of CP in management of COVID-19. Trial registrationThe trial was registered with Clinical Trial Registry of India (CTRI); CTRI/2020/04/024775.

2.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-228460

RESUMEN

India has become the third worst-hit nation by the COVID-19 pandemic caused by the SARS-CoV-2 virus. Here, we investigated the molecular, phylogenomic, and evolutionary dynamics of SARS-CoV-2 in western India, the most affected region of the country. A total of 90 genomes were sequenced. Four nucleotide variants, namely C241T, C3037T, C14408T (Pro4715Leu), and A23403G (Asp614Gly), located at 5UTR, Orf1a, Orf1b, and Spike protein regions of the genome, respectively, were predominant and ubiquitous (90%). Phylogenetic analysis of the genomes revealed four distinct clusters, formed owing to different variants. The major cluster (cluster 4) is distinguished by mutations C313T, C5700A, G28881A are unique patterns and observed in 45% of samples. We thus report a newly emerging pattern of linked mutations. The predominance of these linked mutations suggests that they are likely a part of the viral fitness landscape. A novel and distinct pattern of mutations in the viral strains of each of the districts was observed. The Satara district viral strains showed mutations primarily at the 3' end of the genome, while Nashik district viral strains displayed mutations at the 5' end of the genome. Characterization of Pune strains showed that a novel variant has overtaken the other strains. Examination of the frequency of three mutations i.e., C313T, C5700A, G28881A in symptomatic versus asymptomatic patients indicated an increased occurrence in symptomatic cases, which is more prominent in females. The age-wise specific pattern of mutation is observed. Mutations C18877T, G20326A, G24794T, G25563T, G26152T, and C26735T are found in more than 30% study samples in the age group of 10-25. Intriguingly, these mutations are not detected in the higher age range 61-80. These findings portray the prevalence of unique linked mutations in SARS-CoV-2 in western India and their prevalence in symptomatic patients. ImportanceElucidation of the SARS-CoV-2 mutational landscape within a specific geographical location, and its relationship with age and symptoms, is essential to understand its local transmission dynamics and control. Here we present the first comprehensive study on genome and mutation pattern analysis of SARS-CoV-2 from the western part of India, the worst affected region by the pandemic. Our analysis revealed three unique linked mutations, which are prevalent in most of the sequences studied. These may serve as a molecular marker to track the spread of this viral variant to different places.

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