{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T17:18:41Z","timestamp":1778260721477,"version":"3.51.4"},"update-to":[{"DOI":"10.1371\/journal.pntd.0011263","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T00:00:00Z","timestamp":1681689600000}}],"reference-count":65,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T00:00:00Z","timestamp":1680652800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004255","name":"Rajiv Gandhi University of Health Sciences","doi-asserted-by":"publisher","award":["vide: RGU\/Adv,Res\/CR\/02\/2017-18 dt 02\/05\/2017Project code 17C005B"],"award-info":[{"award-number":["vide: RGU\/Adv,Res\/CR\/02\/2017-18 dt 02\/05\/2017Project code 17C005B"]}],"id":[{"id":"10.13039\/501100004255","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Department of Biotechnology Bioinformatics Centre"},{"name":"Prime Minister\u2019s Research Fellowship (PMRF), Ministry of Education, Government of India"},{"DOI":"10.13039\/501100001412","name":"Council of Scientific & Industrial Research","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001412","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:p>Rheumatic heart disease (RHD) continues to affect developing countries with low income due to the lack of resources and effective diagnostic techniques. Understanding the genetic basis common to both the diseases and that of progression from its prequel disease state, Acute Rheumatic Fever (ARF), would aid in developing predictive biomarkers and improving patient care. To gain system-wide molecular insights into possible causes for progression, in this pilot study, we collected blood transcriptomes from ARF (5) and RHD (5) patients. Using an integrated transcriptome and network analysis approach, we identified a subnetwork comprising the most significantly differentially expressed genes and most perturbed pathways in RHD compared to ARF. For example, the chemokine signaling pathway was seen to be upregulated, while tryptophan metabolism was found to be downregulated in RHD. The subnetworks of variation between the two conditions provide unbiased molecular-level insights into the host processes that may be linked with the progression of ARF to RHD, which has the potential to inform future diagnostics and therapeutic strategies. We also found a significantly raised neutrophil\/lymphocyte ratio in both ARF and RHD cohorts. Activated neutrophils and inhibited Natural Killer cell gene signatures reflected the drivers of the inflammatory process typical to both disease conditions.<\/jats:p>","DOI":"10.1371\/journal.pntd.0011263","type":"journal-article","created":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T18:12:00Z","timestamp":1680718320000},"page":"e0011263","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":5,"title":["Profiling system-wide variations and similarities between Rheumatic Heart Disease and Acute Rheumatic Fever\u2013A pilot 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