JOURNAL ARTICLE

Viral infection and host immune response in diabetes.

  • Published In: IUBMB Life, 2024, v. 76, n. 5. P. 242 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Joshi, Garima; Das, Anushka; Verma, Garima; Guchhait, Prasenjit 3 of 3

Abstract

Diabetes, a chronic metabolic disorder disrupting blood sugar regulation, has emerged as a prominent silent pandemic. Uncontrolled diabetes predisposes an individual to develop fatal complications like cardiovascular disorders, kidney damage, and neuropathies and aggravates the severity of treatable infections. Escalating cases of Type 1 and Type 2 diabetes correlate with a global upswing in diabetes‐linked mortality. As a growing global concern with limited preventive interventions, diabetes necessitates extensive research to mitigate its healthcare burden and assist ailing patients. An altered immune system exacerbated by chronic hyperinflammation heightens the susceptibility of diabetic individuals to microbial infections, including notable viruses like SARS‐CoV‐2, dengue, and influenza. Given such a scenario, we scrutinized the literature and compiled molecular pathways and signaling cascades related to immune compartments in diabetics that escalate the severity associated with the above‐mentioned viral infections in them as compared to healthy individuals. The pathogenesis of these viral infections that trigger diabetes compromises both innate and adaptive immune functions and pre‐existing diabetes also leads to heightened disease severity. Lastly, this review succinctly outlines available treatments for diabetics, which may hold promise as preventive or supportive measures to effectively combat these viral infections in the former. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:IUBMB Life. 2024/05, Vol. 76, Issue 5, p242
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2024
  • ISSN:1521-6543
  • DOI:10.1002/iub.2794
  • Accession Number:176781237
  • Copyright Statement:Copyright of IUBMB Life is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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