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Respiratory Co-Infections: Modulators of SARS-Cov-2 Patients’ Clinical Sub-Phenotype

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Respiratory Co-Infections: Modulators of SARS-Cov-2 Patients’ Clinical Sub-Phenotype fmicb-12-653399 May 25, 2021 Time: 17:2 # 1 ORIGINAL RESEARCH published: 28 May 2021 doi: 10.3389/fmicb.2021.653399 Respiratory Co-Infections: Modulators of SARS-CoV-2 Patients’ Clinical Sub-Phenotype Priyanka Mehta1†, Shweta Sahni1†, Samreen Siddiqui2†, Neha Mishra1†, Pooja Sharma1,3, Sachin Sharma1, Akansha Tyagi2, Partha Chattopadhyay1,3, Vivekanand A1,3, Priti Devi1,3, Azka Khan1, Swati Waghdhare2, Sandeep Budhiraja2, Bharathram Uppili1,3, 1,3 2 1 2 Edited by: Ranjeet Maurya , Vivek Nangia , Uzma Shamim , Pranjal P. Hazarika , Karl Kuchler, Saruchi Wadhwa1,3, Nishu Tyagi1,3, Arun Dewan2, Bansidhar Tarai2, Poonam Das2, Medical University of Vienna, Austria Mohammed Faruq1, Anurag Agrawal1, Sujeet Jha2 and Rajesh Pandey1* Reviewed by: 1 Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India, 2 Max Super Lubna Pinky, Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, New Delhi, India, 3 Academy of Scientific University of Tennessee Health and Innovative Research, Ghaziabad, India Science Center (UTHSC), United States Martha Ann Delaney, Co-infection with ancillary pathogens is a significant modulator of morbidity and mortality University of Illinois at Urbana-Champaign, United States in infectious diseases. There have been limited reports of co-infections accompanying *Correspondence: SARS-CoV-2 infections, albeit lacking India specific study. The present study has made Rajesh Pandey an effort toward elucidating the prevalence, diversity and characterization of co-infecting [email protected]; respiratory pathogens in the nasopharyngeal tract of SARS-CoV-2 positive patients. [email protected] Two complementary metagenomics based sequencing approaches, Respiratory Virus †These authors have contributed equally to this work Oligo Panel (RVOP) and Holo-seq, were utilized for unbiased detection of co-infecting viruses and bacteria. The limited SARS-CoV-2 clade diversity along with differential Specialty section: clinical phenotype seems to be partially explained by the observed spectrum of co- This article was submitted to Infectious Diseases, infections. We found a total of 43 bacteria and 29 viruses amongst the patients, a section of the journal with 18 viruses commonly captured by both the approaches. In addition to SARS- Frontiers in Microbiology CoV-2, Human Mastadenovirus, known to cause respiratory distress, was present in Received: 26 March 2021 Accepted: 27 April 2021 a majority of the samples. We also found significant differences of bacterial reads Published: 28 May 2021 based on clinical phenotype. Of all the bacterial species identified, ∼60% have been Citation: known to be involved in respiratory distress. Among the co-pathogens present in our Mehta P, Sahni S, Siddiqui S, sample cohort, anaerobic bacteria accounted for a preponderance of bacterial diversity Mishra N, Sharma P, Sharma S, Tyagi A, Chattopadhyay P, with possible role in respiratory distress. Clostridium botulinum, Bacillus cereus and Vivekanand A, Devi P, Khan A, Halomonas sp. are anaerobes found abundantly across the samples. Our findings Waghdhare S, Budhiraja S, Uppili B, Maurya R, Nangia V, Shamim U, highlight the significance of metagenomics based diagnosis and detection of SARS- Hazarika PP, Wadhwa S, Tyagi N, CoV-2 and other respiratory co-infections in the current pandemic to enable efficient Dewan A, Tarai B, Das P, Faruq M, treatment administration and better clinical management. To our knowledge this is the Agrawal A, Jha S and Pandey R (2021) Respiratory Co-Infections: first study from India with a focus on the role of co-infections in SARS-CoV-2 clinical Modulators of SARS-CoV-2 Patients’ sub-phenotype. Clinical Sub-Phenotype. Front. Microbiol. 12:653399. Keywords: co-infection, COVID-19, RVOP, holotranscriptome, metagenomics, respiratory viruses, anaerobic doi: 10.3389/fmicb.2021.653399 bacteria Frontiers in Microbiology | www.frontiersin.org 1 May 2021 | Volume 12 | Article 653399 fmicb-12-653399 May 25, 2021 Time: 17:2 # 2 Mehta et al. Co-Infections Modulate COVID-19 Outcome INTRODUCTION Peddu et al., 2020). The current magnitude of the problem requires multi-modal efficient management of the COVID-19 The COVID-19 disease that emerged in Wuhan, China has disease. Early detection of the co-infection with possible role in spread across the globe in the past 1 year and assumed disease severity and outcome would be helpful in prioritising pandemic proportions. The infection is caused by Severe Acute medical care. Identification of co-infections in SARS-CoV-2 Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) which is a positive individuals, especially of the bacterial species, may be betacoronavirus of the Coronaviridae family (Zhu et al., 2020). crucial for better risk stratification of patients, disease prognosis Symptomatic patients present with a wide range of symptoms and effective treatment, especially in context of the usage of including fever, cough, runny nose, headache, nasal congestion suitable antibiotics. and shortness of breath (Huang et al., 2020). While the majority of patients with SARS-CoV-2 infection have mild to moderate symptoms, some progress to a severe disease category despite MATERIALS AND METHODS standard treatment regime (World Health Organization, 2020). Patients with severe manifestation of the disease require Intensive Sample Collection and Processing Care Unit (ICU) admission, necessitated by the development Sample Collection of pulmonary pathology including ground glass opacification of The study was conducted by the CSIR-Institute of Genomics the lungs and the Acute Respiratory Distress Syndrome (ARDS), and Integrative Biology (CSIR-IGIB) in collaboration with the often culminating in multiple organ failure and death (Fan et al., MAX Hospital, Delhi, India. Ethical clearance for the study was 2020; Wang et al., 2020). obtained from the Institutional Ethics Committee at the IGIB Due to the diversity in clinical manifestations of the and the Max Hospital, respectively. A total of 100 patients with disease, more than one factor is assumed to possibly affect confirmed COVID-19 positive status, based on RT-PCR results, the clinical course of SARS-CoV-2 infection. Studies so far hospitalised in MAX Hospital were enrolled in the study. The have indicated the role of older age, male gender and presence nasopharyngeal and/or throat swabs along with a sputum sample of comorbidities such as diabetes and hypertension as well were collected by the paramedical staff at the MAX Hospital on as demographic and clinical factors in increasing the risk of the day of reporting to the hospital. The tip of the swab was developing a severe form of COVID-19 (Richardson et al., 2020; put into a vial containing 3 ml of Viral Transport Media (VTM) Wu and McGoogan, 2020; Zhou et al., 2020). Simultaneously, (HiViral Transport Kit, HiMedia, Cat. No: MS2760A-50NO), a limited number of reports have indicated the presence of by breaking the applicator’s stick and sealing the tube tightly. co-infections with viral and bacterial respiratory pathogens in The tube was then vortexed for 2 min to allow the dissolution SARS-CoV-2 infected individuals. Studies have indicated the of sample into the VTM solution followed by centrifugation co-occurrence of respiratory viruses including Influenza virus, and allowed to settle for some time before processing. For Human metapneumovirus, Rhinovirus and Respiratory syncytial sputum samples, 200 ml of sputum was added to 200 ml of virus in COVID-19 patients (Ding et al., 2020; Kim et al., 2020; Sputum Liquefaction reagent, thoroughly mixed and incubated Lin et al., 2020). Bacterial co-infections also affect the morbidity at 37◦C for 10 min. and mortality in viral respiratory infections. In this context, it is important to differentiate between hospital-acquired co- RNA Isolation and qRT-PCR Detection infection/secondary bacterial infection which develops during Viral RNA from VTM solution or liquified sputum samples the course of hospitalization, versus an existing bacterial co- was extracted using commercially available RNA extraction kit infection which is present when a patient reports to the hospital. (QIAmp viral mini kit, Qiagen, Cat. No. 52906). 200 ml of VTM A meta-review by Langford et al. studied the rate of bacterial co- solution or liquified sputum was processed for lysing and viral infection in COVID-19 patients. Among the bacterial pathogens, enrichment, in accordance with the kit protocol (QIAamp Viral the ones reported in SARS-CoV-2 positive patients include RNA Mini Handbook). After washing with the wash buffers, viral Haemophilus influenzae, Pseudomonas aeruginosa, Klebsiella RNA was eluted in RNase-free water. qRT-PCR for SARS-CoV-2 spp. and Mycoplasma spp. (Langford et al., 2020). Most of detection was performed using the TRUPCR SARS-CoV-2 kit (3B these findings are, however, associative in nature and do not BlackBio Biotech India Ltd., Cat. No. 3B304). In brief, 10 ml of clearly indicate whether co-infection is a driver of poor clinical RNA was added to 15 ml of reaction mix in accordance with the outcomes, or simply more common in severe categories of kit protocol. The qRT-PCR was run on Rotor-Gene Q (Qiagen) patients (e.g., intubation associated pneumonia in patients on using the recommended cycling conditions. The cycle threshold ventilatory support). (Ct) value of 35 was considered for interpretation of the results. To be able to better understand the COVID-19 pathogenesis and prognosis, it is important to elucidate the role of co- Sequencing infections and concomitant interactions between co-infecting Respiratory Virus Oligo Panel (RVOP) pathogens. Next generation sequencing (NGS) has aided the Double-stranded cDNA (ds cDNA) was synthesised from characterization and analysis of the genomic profile of not 100 ng of total RNA for all SARS-CoV-2 positive samples. just the primary pathogen, i.e., SARS-CoV-2, but also of The first strand of cDNA was synthesised using Superscript the associated microbiome, using the nucleic acids extracted IV First strand synthesis system (Thermo Fisher Scientific, from the respiratory specimens of patients (Chen et al., 2020; Cat.
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