Browsing by Author "Shivam Sharma"

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Correlation of the Disease Activity and Pro-inflammatory Cytokine Expression Between Young and Elderly Onset Rheumatoid Arthritis
(SAGE Publications Ltd, 2025) Shivam Sharma; Sourabh Pathania; Diparani Takhelmayum; Kailash Kumar; Anup P. Singh
Background and Aims: Rheumatoid arthritis (RA) is a complex autoimmune inflammatory disease-causing disability. The immunopathogenic difference between elderly onset RA (EORA) and younger-onset RA (YORA) and the factors responsible for their clinical characteristics are yet to be explored completely. The study was done to correlate inflammatory biomarkers in EORA patients and compare with YORA patients. Methods: A cross-sectional study comprising 30 patients each for YORA and EORA was done. Serum levels of interleukin IL-1β, IL-6, IL-8, tumour necrosis factor-alpha (TNF-α), interferon-gamma (IFN-γ) and anticyclic citrullinated peptide were determined by Enzyme-Linked Immunosorbent Assay (ELISA). These were correlated with disease activity using the DAS28, and the modified Larson score was used to assess bone erosion. Results: Significantly higher levels of serum IL-6 (25.1 vs. 12.8 pg/mL) and IL-8 (83.5 vs. 65.15 pg/mL) were found in EORA patients, while significantly higher levels of serum TNF-α (360.8 vs. 86.3 pg/mL) were found in patients with YORA. IL-1β, IL-8 and TNF-α have a significantly positive correlation with DAS28 in YORA, while IL-1β, TNF-α and IFN-γ are significantly associated with disease activity in EORA. Increased bone erosion was linked to EORA. Conclusion: Apart from clinical symptoms, serological profile, EORA, and YORA have a distinct cytokines profile. This provides a valuable insight for selecting targeted therapies, especially in managing naive and refractory RA cases of EORA. Given the higher risk of joint damage in EORA, early and aggressive management may result in early remission and improve patient’s quality of life. © 2025 The Author(s). This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Sensitivity Analysis of DSSAT CERESWheat Model for Uttar Pradesh for Variations
(Apple Academic Press, 2024) Yogesh Kumar; Shivam Sharma; Sushan Rungta; Anil Kumar Singh; Ganesh B. Gohain; Mahfooz Alam
Plant growth is impacted by variation in atmospheric conditions. The impacts of changes in the climate on the growth and maturation of the plant body may be estimated and assessed using crop simulation models (CSMs). In order to assess the model’s sensitivity to alterations in a variety of climatic parameters, including rainfall, minimum and maximum temperature, DSSAT CSM integrated with a wheat model – CERES (crop environment resource synthesis) was used over four growing seasons (2015-2016 to 2018-2019) for Meerut district of Uttar Pradesh state on three different dates of sowing (DOS) 15th Nov (D1), 22nd Nov (D2) and 29th Nov (D3) with a variety HD2967 (V1). The Sensitivity analysis study showed yield variation due to changes in meteorological parameters. The actual maximum temperature increased by 1.0 °C, 2.0 °C, and 3.0 °C, and decreased by 1.0 °C, 2.0 °C, and 3.0 °C for the whole crop season using the environmental modification field to check the impact on crop yield. The observed yield and crop simulation yield results have less percent deviation on 22nd Nov (D2) as compare the results with 15th Nov (D1) and 29th Nov (D3) for study area and the simulated yield increases with successive increase of maximum temperature and decreases by successive decrease of maximum temperature of wheat crop for Meerut district. © 2025 by Apple Academic Press, Inc.