Shridhar Narayanan

Shridhar Narayanan


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in BioMed Research International
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AMAarti Mohan
Aarti Mohan
SNShridhar Narayanan
Shridhar Narayanan
SSSwaminathan Sethuraman
Swaminathan Sethuraman
UKUma Maheswari Krishnan
Uma Maheswari Krishnan
Increasing consumption of tobacco and alcohol has led to a steady increase in the incidence of head and neck cancers in Asia. The drawbacks associated with the existing chemotherapeutic and surgical interventions have necessitated the development of a safer alternative for therapy of head and neck cancers. In this study we have explored the synergistic therapeutic potential of a phytochemical and chemotherapeutic agent using PEGylated liposomes as a delivery vehicle. Resveratrol and 5-fluorouracil were successfully coencapsulated in a single PEGylated nanoliposome. The thermal analysis and the nuclear magnetic resonance results revealed that resveratrol localized near the glycerol backbone of the liposomal membrane while 5-fluorouracil localized closer to the phosphate moiety, which influenced the release kinetics of both drugs. The nanoformulation was testedin vitroon a head and neck cancer cell line NT8e and was found to exhibit a GI50similar to that of free 5-fluorouracil. Further, gene expression studies showed that the combination of resveratrol and 5-fluorouracil exhibited different effects on different genes that may influence the net antagonistic effect. The coencapsulation of resveratrol and 5-fluorouracil in a liposomal nanocarrier improved the cytotoxicity in comparison with the free drug combination when testedin vitro.

5 March 2024 in Nature Communications
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LJLukas Junk
Lukas Junk
VSVolker M. Schmiedel
Volker M. Schmiedel
SGSomraj Guha
Somraj Guha
KFKatharina Fischel
Katharina Fischel
PGPeter Greb
Peter Greb
GBGuido Boehmelt
Guido Boehmelt
Antimicrobial resistance is a global health threat that requires the development of new treatment concepts. These should not only overcome existing resistance but be designed to slow down the emergence of new resistance mechanisms. Targeted protein degradation, whereby a drug redirects cellular proteolytic machinery towards degrading a specific target, is an emerging concept in drug discovery. We are extending this concept by developing proteolysis targeting chimeras active in bacteria (BacPROTACs) that bind to ClpC1, a component of the mycobacterial protein degradation machinery. The anti-Mycobacterium tuberculosis (Mtb) BacPROTACs are derived from cyclomarins which, when dimerized, generate compounds that recruit and degrade ClpC1. The resulting Homo-BacPROTACs reduce levels of endogenous ClpC1 in Mycobacterium smegmatis and display minimum inhibitory concentrations in the low micro- to nanomolar range in mycobacterial strains, including multiple drug-resistant Mtb isolates. The compounds also kill Mtb residing in macrophages. Thus, Homo-BacPROTACs that degrade ClpC1 represent a different strategy for targeting Mtb and overcoming drug resistance.

23 September 2019 in ACS Medicinal Chemistry Letters
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MRManjunatha M. R
Manjunatha M. R
RSRadha K. Shandil
Radha K. Shandil
MPManoranjan Panda
Manoranjan Panda
CSClaire Sadler
Claire Sadler
AAAnisha Ambady
Anisha Ambady
PSPravin S. Shirude
Pravin S. Shirude

21 May 2021 in Drug Delivery and Translational Research
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PPPratiksha Prabhu
Pratiksha Prabhu
TFTrinette Fernandes
Trinette Fernandes
PCPramila Chaubey
Pramila Chaubey
PKParvinder Kaur
Parvinder Kaur
SNShridhar Narayanan
Shridhar Narayanan
SSSujata P. Sawarkar
Sujata P. Sawarkar

1 July 2021 in Tuberculosis
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PKParvinder Kaur
Parvinder Kaur
VPVijay Potluri
Vijay Potluri
VAVijay Kamal Ahuja
Vijay Kamal Ahuja
CNC.N. Naveenkumar
C.N. Naveenkumar
RKRamya Vadageri Krishnamurthy
Ramya Vadageri Krishnamurthy
SNShridhar Narayanan
Shridhar Narayanan

28 July 2022 in Stem Cells International
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Radha Krishan ShandilRadha Krishan Shandil
Radha Krishan Shandil
SDSaumya Dhup
Saumya Dhup
SNShridhar Narayanan
Shridhar Narayanan
Autoimmune diseases, chronic in nature, are generally hard to alleviate. Present long-term treatments with available drugs such as steroids, immune-suppressive drugs, or antibodies have several debilitating side effects. Therefore, new treatment options are urgently needed. Stem cells, in general, have the potential to reduce immune-mediated damage through immunomodulation and T cell regulation (T regs) by inhibiting the proliferation of dendritic cells and T and B cells and reducing inflammation through the generation of immunosuppressive biomolecules like interleukin 10 (IL-10), transforming growth factor-β (TGF-β), nitric oxide (NO), indoleamine 2,3-dioxygenase (IDO), and prostaglandin E2 (PGE2). Many stem cell-based therapeutics have been evaluated in the clinic, but the overall clinical outcomes in terms of efficacy and the longevity of therapeutic benefits seem to be variable and inconsistent with the postulated benefits. This emphasizes a greater need for building robust preclinical models and models that can better predict the clinical translation of stem cell-based therapeutics. Stem cell therapy based on MSCs having the definitive potential to regulate the immune system and control inflammation is emerging as a promising tool for the treatment of autoimmune disorders while promoting tissue regeneration. MSCs, derived from bone marrow, umbilical cord, and adipose tissue, have been shown to be highly immunomodulatory and anti-inflammatory and shown to enhance tissue repair and regeneration in preclinical models as well as in clinical settings. In this article, a review on the status of MSC-based preclinical disease models with emphasis on understanding disease mechanisms in chronic inflammatory disorders caused by exaggerated host immune response in rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) was carried out. We also emphasized various factors that better predict the translation of stem cell therapeutic outcomes from preclinical disease models to human patients.