Publications by authors named "P G Agnihotri"

Objective: Rheumatoid arthritis (RA) is a chronic inflammatory condition that, despite available approaches to manage the disease, lacks an efficient treatment and timely diagnosis. Using the most advanced omics technique, metabolomics and proteomics approach, we explored varied metabolites and proteins to identify unique metabolite-protein signatures involved in the disease pathogenesis of RA.

Methods: Untargeted metabolomics (n = 20) and proteomics (n = 60) of RA patients' plasma were carried out by HPLC/LC-MS/MS and SWATH, respectively and analyzed by Metaboanalyst.

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Article Synopsis
  • Rheumatoid Arthritis (RA) is a chronic autoimmune disease, and previous research highlighted α-Taxilin as a key protein elevated in RA, necessitating further exploration of its role in the disease.
  • In a study involving 106 RA patients, α-Taxilin levels were significantly higher compared to those with osteoarthritis, systemic lupus erythematosus, and healthy individuals, and it correlated with RA severity markers.
  • The study identified 17 proteins interacting with α-Taxilin, suggesting its involvement in key metabolic pathways, and experiments showed that reducing α-Taxilin levels lowered inflammation and improved symptoms in both cell cultures and a rat model of arthritis.
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Rheumatoid arthritis (RA) is an autoimmune disease characterized by joint inflammation driven by complex signaling pathways. Recent therapeutic approaches focus on small molecules targeting intracellular signaling to address specific physiological aspects of the disease. Previously we identified a small molecule, 2-hydroxyestradiol (2-OHE2), an inhibitor of TNF-α by an in-silico study.

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Centers for Medicare & Medicaid Services provides reimbursement through Hierarchical Condition Category (HCC) coding. Medical systems strive toward risk adjustment optimization, often implementing costly chart review processes. Previously, our organization implementing countermeasures through workflows was complex and performed in silos.

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Multifunctional colloidal microgels that exhibit stimuli-responsive behaviour and excellent biocompatibility have attracted particular attention for developing functional compartmentalized networks. Herein, a series of stimuli-responsive microgels (M0, M1, and M2) were designed through the copolymerization of di(ethylene glycol) methyl ether methacrylate (DEGMA) and methacrylic acid (MAA) monomers using hydroxy ethyl methacrylate-coupled azobenzene (HEMA-Az) and ethylene glycol dimetharylate (EGDMA) as crosslinkers. The behaviour of the microgels in response to temperature, pH, and light was thoroughly investigated using spectroscopic, microscopic, and light-scattering techniques.

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