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Collaborations and top research areas from the last five years
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Nanozyme aptasensor array for predictive sensing of virulent and antibiotic-resistant Staphylococcus aureus strains
Weerathunge, P., Yazdani, M., Sharma, T. K., Wong, W. K. M., Joglekar, M. V., Hardikar, A. A., Rotello, V. M., Ramanathan, R. & Bansal, V., 2026, In: Small. 22, 15, 9 p., e12266.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Novel molecular signatures of peripheral regulatory t cells in kidney disease associated with Type 1 Diabetes
Bansal, A., Wong, S. W., Wong, W. K. M., Best, G., James, S., Glastras, S., Pena, A., Qin, C. X., Tan, S. M., Deliyanti, D., Rojas-Canales, D. M., Joglekar, M. V. & Ekinci, E. I., Mar 2026, In: Kidney 360. 7, 3, p. 501-514 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)5 Downloads (Pure) -
Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: a FIELD sub-study
Francis, H., Januszewski, A. S., O'Rourke, M. B., Huang, M. L. H., Ema, F. K., Hardikar, A. A., Joglekar, M. V., Sullivan, D. R., Ma, R. C. W., Galande, S., Gebski, V., Simes, R. J., Jenkins, A. J., Molloy, M. P. & Keech, A. C., Jun 2026, In: Journal of Diabetes and Its Complications. 40, 6, 13 p., 109330.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
A microRNA-based dynamic risk score for type 1 diabetes
Joglekar, M. V., Wong, W. K. M., Kunte, P. S., Hardikar, H. P., Kulkarni, R. A., Farr, R. J., Pham, H. T. N., Coles, M., Maynard, C. L., Hayward, R., Piya, M. K., Hardikar, A. A., Chimoriya, R., Taylor, C. J., Pereira E Cotta, M. V., Sachithanandan, N., Dong, C. X., Ema, F. K., Perera, S. & Satoor, S. N. & 2 others, , Aug 2025, In: Nature Medicine. 31, 8, p. 2622-2631 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)2 Downloads (Pure) -
Plasma multi-omics and machine learning reveal predictive biomarkers for type 2 diabetes and retinopathy in Qatar biobank cohort
Ahmed, I., Bhat, A. A., Jeya, S. P., Wong, W. K. M., Sadida, H. Q., Polkamp, M., Hardikar, H. P., Lakshmi, J., Hussain, S. A., Chin-Smith, E., Ranjan, A. K., Joglekar, M. V., Hardikar, A. A., Fakhro, K. & Akil, A. A. S., Oct 2025, In: Journal of Translational Medicine. 23, 1, 15 p., 1159.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)9 Downloads (Pure)
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Treatment Of early gestational diabetes Mellitus: THe follow-Up of Mothers and Babies future cardio-metabolic risk and neurodevelopment (TOMTHUMB)
Simmons, D. (PI), MacMillan, F. (Investigator), Joglekar, M. (Investigator) & Tannous, K. (Investigator)
16/12/24 → 16/12/29
Project: Research
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Multi-omics analysis to identify early markers of B-cell loss Via Telethon Kids Institute
Joglekar, M. (PI), Hardikar, A. (Investigator), Wong, W. (Investigator) & Pham, H. T. N. (Investigator)
Rio Tinto Children's Diabetes Centre
1/05/24 → 1/11/25
Project: Research
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Identifying early biomarkers of future health
Joglekar, M. (PI), Hardikar, A. (Investigator), Yajnik, C. (Research Fellow) & Wagh, R. (Research Fellow)
Department of Foreign Affairs and Trade
10/07/23 → 29/12/23
Project: Research
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Regulatory T Cells and Kidney Disease Progression in Type 1 Diabetes [Via UMelb]
Joglekar, M. (PI)
2/01/21 → 5/09/22
Project: Research
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PREDICT-T1D: Plasma RNA Evaluation and Diagnosis In Children progressing To Type 1 Diabetes
Joglekar, M. (PI)
1/10/20 → 30/09/21
Project: Research
Datasets
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The link between glycemic control measures and eye microvascular complications in a clinical cohort of type 2 diabetes with microRNA-223-3p signature
Da’as, S. I., Ahmed, I., Hasan, W. H., Abdelrahman, D. A., Aliyev, E., Nisar, S., Bhat, A. A., Joglekar, M. V., Hardikar, A. A., Fakhro, K. A. & Akil, A. S.A.-S., figshare, 2024
DOI: 10.6084/m9.figshare.c.6593336, https://springernature.figshare.com/collections/The_link_between_glycemic_control_measures_and_eye_microvascular_complications_in_a_clinical_cohort_of_type_2_diabetes_with_microRNA-223-3p_signature/6593336
Dataset
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Short-chain fatty acid concentrations in the incidence and risk-stratification of colorectal cancer: a systematic review and meta-analysis
Alvandi, E., Wong, W. K. M., Joglekar, M. V., Spring, K. J. & Hardikar, A. A., figshare, 2022
DOI: 10.6084/m9.figshare.c.6228398.v1, https://springernature.figshare.com/collections/Short-chain_fatty_acid_concentrations_in_the_incidence_and_risk-stratification_of_colorectal_cancer_a_systematic_review_and_meta-analysis/6228398/1 and one more link, https://springernature.figshare.com/collections/Short-chain_fatty_acid_concentrations_in_the_incidence_and_risk-stratification_of_colorectal_cancer_a_systematic_review_and_meta-analysis/6228398 (show fewer)
Dataset
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Applicability of a microRNA-based Dynamic Risk Score (DRS) for type 1 diabetes
Hardikar, H., Thorat, V., Kunte, P., Kulkarni, R., Pant, A., Wong, W., Joglekar, M. & Hardikar, A., Code Ocean, 11 Jun 2025
DOI: 10.24433/CO.4476520.v1, https://doi.org/10.24433/CO.4476520.v1
Dataset