Unveiling the Pathophysiological Landscape of COVID-19: Insights for Novel Therapeutic Strategies

Authors

  • Laiba Iqbal Student
  • Dr. Naila Iqbal

DOI:

https://doi.org/10.57041/ijeet.v2i2.1059

Abstract

The ongoing COVID-19 epidemic has emphasised
the critical need for a thorough understanding of the disease’s
pathophysiology environment. This article explores the complex
relationship between SARS-CoV-2, the virus responsible for
COVID-19, and the human body, offering light on the underlying
mechanisms that determine illness susceptibility, development,
and severity. The genetic, immunological, and physiological
aspects that contribute to the different clinical presentations
of COVID-19 using a multidisciplinary approach have been
discussed. This article aims to provide significant insights that
pave the way for potential therapeutic options addressing the
core pathophysiological processes by deciphering these complex
pathways. As the global community attempts to combat the epidemic, a fuller knowledge of COVID-19’s molecular complexities
holds the prospect of new interventions that can effectively lessen
its effects. In addition, a case study featuring Quantitative Polymerase Chain Reaction (QPCR) amplification curves and Cycle
Threshold (CT) values is shown to demonstrate the significance
of making an accurate diagnosis. This diagnostic approach lets
physicians to distinguish between positive and negative cases,
assess viral load, and offer informed treatment recommendations.
By combining QPCR results with clinical data, we can acquire a
greater understanding of COVID-19’s progression and influence
the development of novel therapy methods. This research aims
to aid the global effort to eradicate COVID-19 by elucidating
its pathophysiological intricacies and employing sophisticated
diagnostic techniques such as (QPCR)

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Published

2024-04-24

How to Cite

Iqbal, L., & Iqbal, D. N. . (2024). Unveiling the Pathophysiological Landscape of COVID-19: Insights for Novel Therapeutic Strategies. International Journal of Emerging Engineering and Technology, 2(2). https://doi.org/10.57041/ijeet.v2i2.1059