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Indrani Lodh

Explore the profile of Indrani Lodh including associated specialties, affiliations and a list of published articles. Areas
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Articles 6
Citations 79
Followers 0
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Recent Articles
1.
Chaudhuri P, Das M, Lodh I, Goswami R
Public Health Genomics . 2021 Mar; 24(3-4):131-138. PMID: 33784687
Introduction: Women with family history of diabetes (FHD) are at significantly increased risk of developing gestational diabetes mellitus which may eventually lead to type 2 diabetes mellitus (T2DM) in later...
2.
Subramani E, Rameshbabu A, Jothiramajayam M, Subramanian B, Chakravorty D, Bose G, et al.
Sci Rep . 2017 Jun; 7(1):3942. PMID: 28638075
Successful implantation is dependent on the appropriate decidualization of endometrial stromal cells for the establishment of pregnancy in women. Mycobacterial heat shock protein 65 (HSP65) is involved in pathogenesis of...
3.
RoyChoudhury S, Mishra B, Khan T, Chattopadhayay R, Lodh I, Ray C, et al.
Mol Biosyst . 2016 Oct; 12(11):3407-3416. PMID: 27714060
Polycystic ovary syndrome (PCOS) is one of the most commonly occurring metabolic and endocrinological disorders affecting women of reproductive age. Metabolomics is an emerging field that holds promise in understanding...
4.
Dutta M, Subramani E, Taunk K, Gajbhiye A, Seal S, Pendharkar N, et al.
Data Brief . 2015 Jul; 2:21-5. PMID: 26217699
2DE and 2D-DIGE based proteomics analysis of serum from women with endometriosis revealed several proteins to be dysregulated. A complete list of these proteins along with their mass spectrometry data...
5.
Dutta M, Subramani E, Taunk K, Gajbhiye A, Seal S, Pendharkar N, et al.
J Proteomics . 2014 Dec; 114:182-96. PMID: 25449831
Biological Significance: Globally, about 12 in 100 women of reproductive age are diagnosed with endometriosis. The pathogenesis of the disease still remains unclear, leading to non-specific therapeutic approaches for disease...
6.
Dutta M, Joshi M, Srivastava S, Lodh I, Chakravarty B, Chaudhury K
Mol Biosyst . 2012 Oct; 8(12):3281-7. PMID: 23079773
Our present study focuses on the identification of predictive biomarkers in serum for the early diagnosis of endometriosis in a minimally invasive manner using (1)H-NMR based metabonomics. PLS-DA modeling of...