Salwa Naushin, Ph.D.

Postdoctoral Fellow

Functional Immunogenomics Section

Summary

Salwa Naushin, Ph.D.,  earned her bachelor's degree in microbiology and her master's in genetics from the University of Delhi. She then completed a Ph.D. in biological sciences at the CSIR-Institute of Genomics and Integrative Biology. The Ph.D. focused on identifying potential biomarkers for coronary artery disease in an Indian cohort using a comprehensive multiomics approach.

Dr. Naushin has actively contributed to cross-disciplinary projects, including leading a large-scale sero-epidemiological survey with over 10,000 participants during the COVID-19 pandemic. She has also collaborated on studies examining the Delta variant and the impact of vaccination. Dr. Naushin's past research involved exploring how a specific gene related to nerve cells is controlled, which she conducted at the National Institute of Immunology. She also studied anthocyanidin-induced DNA protection in mouse models at Jawaharlal Nehru University. Dr. Naushin joined the NIH as a postdoctoral fellow at NIAMS in 2024.

Research Statement

Dr. Naushin's research focuses on the molecular effects of glucocorticoids on cells in patients with systemic lupus erythematosus (SLE), a systemic autoimmune disease. Glucocorticoids play a crucial role in anti-inflammatory and immunosuppressive therapies. They are often used to treat patients with SLE, but the molecular mechanisms behind their therapeutic effects remain unclear.

Glucocorticoids are effective but have extensive and serious side effects affecting every organ system. Dr. Naushin's work towards a better understanding of the therapeutic effects of glucocorticoids in patients with SLE aims to help develop more effective and safer treatment regimens.

Scientific Publications

Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2.

Naushin S, Sardana V, Ujjainiya R, Bhatheja N, Kutum R, Bhaskar AK, Pradhan S, Prakash S, Khan R, Rawat BS, Tallapaka KB, Anumalla M, Chandak GR, Lahiri A, Kar S, Mulay SR, Mugale MN, Srivastava M, Khan S, Srivastava A, Tomar B, Veerapandian M, Venkatachalam G, Vijayakumar SR, Agarwal A, Gupta D, Halami PM, Peddha MS, Sundaram GM, Veeranna RP, Pal A, Agarwal VK, Maurya AK, Singh RK, Raman AK, Anandasadagopan SK, Karuppanan P, Venkatesan S, Sardana HK, Kothari A, Jain R, Thakur A, Parihar DS, Saifi A, Kaur J, Kumar V, Mishra A, Gogeri I, Rayasam G, Singh P, Chakraborty R, Chaturvedi G, Karunakar P, Yadav R, Singhmar S, Singh D, Sarkar S, Bhattacharya P, Acharya S, Singh V, Verma S, Soni D, Seth S, Vashisht S, Thakran S, Fatima F, Singh AP, Sharma A, Sharma B, Subramanian M, Padwad YS, Hallan V, Patial V, Singh D, Tripude NV, Chakrabarti P, Maity SK, Ganguly D, Sarkar J, Ramakrishna S, Kumar BN, Kumar KA, Gandhi SG, Jamwal PS, Chouhan R, Jamwal VL, Kapoor N, Ghosh D, Thakkar G, Subudhi U, Sen P, Chaudhury SR, Kumar R, Gupta P, Tuli A, Sharma D, Ringe RP, D A, Kulkarni M, Shanmugam D, Dharne MS, Dastager SG, Joshi R, Patil AP, Mahajan SN, Khan AH, Wagh V, Yadav RK, Khilari A, Bhadange M, Chaurasiya AH, Kulsange SE, Khairnar K, Paranjape S, Kalita J, Sastry NG, Phukan T, Manna P, Romi W, Bharali P, Ozah D, Sahu RK, Babu EV, Sukumaran R, Nair AR, Valappil PK, Puthiyamadam A, Velayudhanpillai A, Chodankar K, Damare S, Madhavi Y, Aggarwal VV, Dahiya S, Agrawal A, Dash D, Sengupta S
Elife.
2021 Apr 20;
10().
doi: 10.7554/eLife.66537
PMID: 33876727

Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India.

Dhar MS, Marwal R, Vs R, Ponnusamy K, Jolly B, Bhoyar RC, Sardana V, Naushin S, Rophina M, Mellan TA, Mishra S, Whittaker C, Fatihi S, Datta M, Singh P, Sharma U, Ujjainiya R, Bhatheja N, Divakar MK, Singh MK, Imran M, Senthivel V, Maurya R, Jha N, Mehta P, A V, Sharma P, Vr A, Chaudhary U, Soni N, Thukral L, Flaxman S, Bhatt S, Pandey R, Dash D, Faruq M, Lall H, Gogia H, Madan P, Kulkarni S, Chauhan H, Sengupta S, Kabra S, Indian SARS-CoV-2 Genomics Consortium (INSACOG)‡, Gupta RK, Singh SK, Agrawal A, Rakshit P, Nandicoori V, Tallapaka KB, Sowpati DT, Thangaraj K, Bashyam MD, Dalal A, Sivasubbu S, Scaria V, Parida A, Raghav SK, Prasad P, Sarin A, Mayor S, Ramakrishnan U, Palakodeti D, Seshasayee ASN, Bhat M, Shouche Y, Pillai A, Dikid T, Das S, Maitra A, Chinnaswamy S, Biswas NK, Desai AS, Pattabiraman C, Manjunatha MV, Mani RS, Arunachal Udupi G, Abraham P, Atul PV, Cherian SS
Science.
2021 Nov 19;
374(6570).
doi: 10.1126/science.abj9932
PMID: 34648303

High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge.

Ujjainiya R, Tyagi A, Sardana V, Naushin S, Bhatheja N, Kumar K, Barman J, Prakash S, Kutum R, Bhaskar AK, Singh P, Chaudhary K, Loomba M, Khanna Y, Walecha C, Ahmed R, Yadav A, Bajaj A, Malik G, Qureshi S, Waghdhare S, Siddiqui S, Trehan KK, Mani M, Dang R, Das P, Dougall P, Mahajan M, Sonar S, Jakhar K, Kumar R, Tiwari M, Mani S, Bhattacharyya S, Budhiraja S, Agrawal A, Dash D, Jha S, Sengupta S
Nat Commun.
2022 Apr 1;
13(1).
doi: 10.1038/s41467-022-29404-3
PMID: 35365648

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys.

Singh P, Ujjainiya R, Prakash S, Naushin S, Sardana V, Bhatheja N, Singh AP, Barman J, Kumar K, Gayali S, Khan R, Rawat BS, Tallapaka KB, Anumalla M, Lahiri A, Kar S, Bhosale V, Srivastava M, Mugale MN, Pandey CP, Khan S, Katiyar S, Raj D, Ishteyaque S, Khanka S, Rani A, Promila, Sharma J, Seth A, Dutta M, Saurabh N, Veerapandian M, Venkatachalam G, Bansal D, Gupta D, Halami PM, Peddha MS, Veeranna RP, Pal A, Singh RK, Anandasadagopan SK, Karuppanan P, Rahman SN, Selvakumar G, Venkatesan S, Karmakar MK, Sardana HK, Kothari A, Parihar DS, Thakur A, Saifi A, Gupta N, Singh Y, Reddu R, Gautam R, Mishra A, Mishra A, Gogeri I, Rayasam G, Padwad Y, Patial V, Hallan V, Singh D, Tirpude N, Chakrabarti P, Maity SK, Ganguly D, Sistla R, Balthu NK, A KK, Ranjith S, Kumar BV, Jamwal PS, Wali A, Ahmed S, Chouhan R, Gandhi SG, Sharma N, Rai G, Irshad F, Jamwal VL, Paddar MA, Khan SU, Malik F, Ghosh D, Thakkar G, Barik SK, Tripathi P, Satija YK, Mohanty S, Khan MT, Subudhi U, Sen P, Kumar R, Bhardwaj A, Gupta P, Sharma D, Tuli A, Ray Chaudhuri S, Krishnamurthi S, Prakash L, Rao CV, Singh BN, Chaurasiya A, Chaurasiyar M, Bhadange M, Likhitkar B, Mohite S, Patil Y, Kulkarni M, Joshi R, Pandya V, Mahajan S, Patil A, Samson R, Vare T, Dharne M, Giri A, Mahajan S, Paranjape S, Sastry GN, Kalita J, Phukan T, Manna P, Romi W, Bharali P, Ozah D, Sahu RK, Dutta P, Singh MG, Gogoi G, Tapadar YB, Babu EV, Sukumaran RK, Nair AR, Puthiyamadam A, Valappil PK, Pillai Prasannakumari AV, Chodankar K, Damare S, Agrawal VV, Chaudhary K, Agrawal A, Sengupta S, Dash D
Comput Biol Med.
2022 Jul;
146().
doi: 10.1016/j.compbiomed.2022.105419
PMID: 35483225

A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring.

Bhaskar AK, Naushin S, Ray A, Singh P, Raj A, Pradhan S, Adlakha K, Siddiqua TJ, Malakar D, Dash D, Sengupta S
Biomolecules.
2022 May 16;
12(5).
doi: 10.3390/biom12050709
PMID: 35625636

Frequency spectrum of rare and clinically relevant markers in multiethnic Indian populations (ClinIndb): A resource for genomic medicine in India.

Narang A, Uppilli B, Vivekanand A, Naushin S, Yadav A, Singhal K, Shamim U, Sharma P, Zahra S, Mathur A, Seth M, Parveen S, Vats A, Hillman S, Dolma P, Varma B, Jain V, TRISUTRA Ayurgenomics Consortium, Prasher B, Sengupta S, Mukerji M, Faruq M
Hum Mutat.
2020 Nov;
41(11).
doi: 10.1002/humu.24102
PMID: 32906206

Education

CSIR-Institute of Genomics and Integrative biology,New Delhi,India 
Ph.D., Biological Sciences (2016-2023)

University of Delhi 
M.Sc., Genetics (2013-2015) 

University of Delhi 
B.Sc., Microbiology (2010-2013)

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