Page 37 - Annual report 2021-22
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Annual Report 2021-22 |






               Anurag Agrawal

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               Anurag Agrawal’s lab works at the intersection of lung physiology and big data analytics.

               Anurag has had a long-standing interest in lung health. Vital Capacity (VC), i.e. capacity for life, for the
               amount of air we can exhale after a maximal inspiration (FVC for forceful exhalation). More than a
               hundred years later, Hutchinson's original premise was finally vindicated in the Framingham Study,
               where  low  FVC  was  one  of  the  best  predictors  of  cardiopulmonary  disease,  cardiac  failure  and
               premature death; better than blood cholesterol. Apparently healthy Indians have the lowest FVC
               amongst all major ethnic groups, about a third lower than white Americans or Europeans; putting us
               in the danger category based on western studies but treated as a statistical normal for our ethnic
               group.  In  a  project  aiming  to  decipher  the  physiological  underpinnings  of  low  lung-function  in
               apparently healthy Indians, his group undertook a study to measure parameters of lung function and
               inflammation across a cross-sectional sample of 3500 subjects. From about 3500 spirometric studies
               across India (9-50 years subjects, adjusted for age, gender, height, and weight and expressed as a z
               score against global reference values), this study confirmed that FVC was significantly lower in Indians,
               at  every  site  except  at  higher  altitudes,  and  deteriorated  further  with  advancing  age.  Poor  lung
               function in Indians was also associated with other markers of health. Though ethnicity-based lung
               function differences were observed in Indian geo-ethnic groups, these associations of vital capacity
               with health parameters remained significant even after adjusting for ethnicity. These results support
               the primary hypothesis of low lung function in apparently healthy Indians being in an abnormal state,
               which would challenge the current method of defining population norms from a statistical cut-off. In
               these adolescent children low lung function was associated with elevated levels of pro-inflammatory
               cytokines (i.e., TNF-alpha, IL-8, IFN-gamma, IL-17). Using Latent profile analysis, a cluster of very thin
               children with higher inflammation, comprising about 35% of the population, had the poorest lung
               function.  Poor  growth  during  childhood,  associated  with  chronic  systemic  inflammation,  and
               subsequent  early  decline  lead  to  widely  prevalent  pathophysiological  low  lung  function  with
               characteristics of small airway dysfunction.

               Through his interests in lung physiology and data analytics  Anurag has provided leadership in the
               understanding of various aspects associated with the COVID19 pandemic. Partnering with Intel, IIT
               Hyderabad and several research teams across CSIR, Anurag provided leadership in faster testing and
               sequencing of SARS-CoV2. RT-PCR based testing of individuals suspected of SARS-CoV-2 infection,
               asymptomatic  or  symptomatic,  was  done  across  length  and  breadth  of  India.  This  included
               collaborators from CSIR-IIP, CSIR-CLRI and CSIR-IMTECH. Early use of the portable, cheaper, and faster
               RT-PCR  based  system  from  MolBio  (https://www.molbiodiagnostics.com/)  complemented  the
               traditional RT-PCR systems. The data ingestion pathway was set up to transfer the data from the
               gateway to the central Data exchange at IGIB. RT-PCR tests for more than 20,000 individuals. The RT-
               PCR positive RNA sample from the CSIR labs as well as other clinical partners was sourced to CSIR-IGIB
               for Integrative genomics of the SARS-CoV-2. The integrative genomics approach towards SARS-CoV-2
               required development of orthogonal sequencing methods inclusive of amplicon-based, probe-based
               enrichment  and  de  novo  shotgun  sequencing.  It  was  also  incumbent  to  optimise  the  choice  of
               sequencing  platforms  based  on  dual  objective  of  data  output  and  research  question.  The  team
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