Chikungunya Fever Among Patients with Acute Febrile Illness Attending a Tertiary Care Hospital in Mumbai

Background: Chikungunya fever (CHIK) is an arboviral disease. Dengue fever (DENG) and CHIK are indistinguishable clinically and need to be differentiated by laboratory investigations. Purpose: This study aimed at estimating the seroprevalence of CHIK mono-infection and CHIK and DENG dual infection in suspected patients. We also analyzed the age, sex distribution, joint involvement, and relation of joint movement restriction with visual analog scale (VAS). Materials and Methods: Two hundred patients clinically suspected with DENG and CHIK were enrolled from a Tertiary Care Hospital in Mumbai from April 2012 to October 2013. The detailed history and examination findings were recorded. Serum samples were subjected to DENG and CHIK immunoglobulin G (IgM) enzyme-linked immunosorbent assay (ELISA). Results: The seroprevalence of CHIK was 12.5%. Mono-infection of CHIK was 3%, and CHIK and DENG dual infection was 9.5%. Most affected age group in CHIK cases was 46–60 years wherein female preponderance was seen. All 6 patients with CHIK mono-infection had fever and joint involvement; knee and elbow were the most commonly affected joints. All CHIK patients had VAS score of 6–10 with restricted joint movement. Of the patients with dual infection, the majorities were from 31 to 45 years with male preponderance; all had fever and joint pain mainly affecting knee and elbow. Of patients who had VAS score 6–10 in patients with dual infection, only 5.26% had restricted joint movement. Conclusion: IgM ELISA for Chikungunya infection should be included in the routine laboratory tests for acute febrile illness

Humoral Immune Response Profile of COVID-19 Reveals Severity and Variant-Specific Epitopes: Lessons from SARS-CoV-2 Peptide Microarray

The amaranthine scale of the COVID-19 pandemic and unpredictable disease severity is of grave concern. Serological diagnostic aids are an excellent choice for clinicians for rapid and easy prognosis of the disease. To this end, we studied the humoral immune response to SARS-CoV-2 infection to map immunogenic regions in the SARS-CoV-2 proteome at amino acid resolution using a high-density SARS-CoV-2 proteome peptide microarray. The microarray has 4932 overlapping peptides printed in duplicates spanning the entire SARS-CoV-2 proteome. We found 204 and 676 immunogenic peptides against IgA and IgG, corresponding to 137 and 412 IgA and IgG epitopes, respectively. Of these, 6 and 307 epitopes could discriminate between disease severity. The emergence of variants has added to the complexity of the disease. Using the mutation panel available, we could detect 5 and 10 immunogenic peptides against IgA and IgG with mutations belonging to SAR-CoV-2 variants. The study revealed severity-based epitopes that could be presented as potential prognostic serological markers. Further, the mutant epitope immunogenicity could indicate the putative use of these markers for diagnosing variants responsible for the infection