William G Branton, Na Zhang, Eric A Cohen, Bruce J Brew, M John Gill, Benjamin B Gelman, Linglong Kong, Christopher Power
{"title":"脑RNA分析强调HAND患者的多种疾病途径:揭示生物型多样性的决定因素。","authors":"William G Branton, Na Zhang, Eric A Cohen, Bruce J Brew, M John Gill, Benjamin B Gelman, Linglong Kong, Christopher Power","doi":"10.1097/QAD.0000000000004116","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To discover microRNA (miRNA)-RNA transcript interactions dysregulated in brains from persons with HIV-associated neurocognitive disorder (HAND), we investigated RNA expression using machine learning tools.</p><p><strong>Design: </strong>Brain-derived host RNA transcript and miRNA expression was examined from persons with or without HAND using bioinformatics platforms.</p><p><strong>Methods: </strong>By combining next generation sequencing, droplet digital (dd)PCR quantitation of HIV-1 genomes, with bioinformatics and statistical tools, we investigated differential RNA expression in frontal cortex from persons without HIV (HIV[-]), with HIV without brain disease (HIV[+]), with HIV-associated neurocognitive disorder (HAND), or HAND with encephalitis (HIVE).</p><p><strong>Results: </strong>Expression levels for 147 transcripts and 43 miRNAs showed a minimum 4-fold difference between clinical groups with a predominance of antiviral (Type I interferon) signaling-, neural cell maintenance-, and neurodevelopmental disorder-related genes that was validated by gene ontology and molecular pathway inferences. Scale of signal-to-noise ratio (SSNR) and biweight midcorrelation (bicor) analyses identified 14 miRNAs and 45 RNA transcripts, which were highly correlated and differentially expressed (p ≤ 0.05). Machine learning applications compared regression models predicated on HIV-1 DNA, or RNA viral quantities that disclosed miR-4683 and miR-154-5p were dominant variables associated with differential expression of host RNAs. These miRNAs were also associated with antiviral-, cell maintenance-, and neurodevelopmental disorder-related genes.</p><p><strong>Conclusions: </strong>Antiviral as well as neurodevelopmental disorder-related pathways in brain were associated with HAND, based on correlated RNA transcripts and miRNAs. Integrated molecular methods with machine learning offer insights into disease mechanisms, underpinning brain-related biotypes among persons with HIV that could direct clinical care.</p>","PeriodicalId":7502,"journal":{"name":"AIDS","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Brain RNA profiling highlights multiple disease pathways in persons with HAND: uncovering determinants of biotype diversity.\",\"authors\":\"William G Branton, Na Zhang, Eric A Cohen, Bruce J Brew, M John Gill, Benjamin B Gelman, Linglong Kong, Christopher Power\",\"doi\":\"10.1097/QAD.0000000000004116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To discover microRNA (miRNA)-RNA transcript interactions dysregulated in brains from persons with HIV-associated neurocognitive disorder (HAND), we investigated RNA expression using machine learning tools.</p><p><strong>Design: </strong>Brain-derived host RNA transcript and miRNA expression was examined from persons with or without HAND using bioinformatics platforms.</p><p><strong>Methods: </strong>By combining next generation sequencing, droplet digital (dd)PCR quantitation of HIV-1 genomes, with bioinformatics and statistical tools, we investigated differential RNA expression in frontal cortex from persons without HIV (HIV[-]), with HIV without brain disease (HIV[+]), with HIV-associated neurocognitive disorder (HAND), or HAND with encephalitis (HIVE).</p><p><strong>Results: </strong>Expression levels for 147 transcripts and 43 miRNAs showed a minimum 4-fold difference between clinical groups with a predominance of antiviral (Type I interferon) signaling-, neural cell maintenance-, and neurodevelopmental disorder-related genes that was validated by gene ontology and molecular pathway inferences. Scale of signal-to-noise ratio (SSNR) and biweight midcorrelation (bicor) analyses identified 14 miRNAs and 45 RNA transcripts, which were highly correlated and differentially expressed (p ≤ 0.05). Machine learning applications compared regression models predicated on HIV-1 DNA, or RNA viral quantities that disclosed miR-4683 and miR-154-5p were dominant variables associated with differential expression of host RNAs. These miRNAs were also associated with antiviral-, cell maintenance-, and neurodevelopmental disorder-related genes.</p><p><strong>Conclusions: </strong>Antiviral as well as neurodevelopmental disorder-related pathways in brain were associated with HAND, based on correlated RNA transcripts and miRNAs. Integrated molecular methods with machine learning offer insights into disease mechanisms, underpinning brain-related biotypes among persons with HIV that could direct clinical care.</p>\",\"PeriodicalId\":7502,\"journal\":{\"name\":\"AIDS\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AIDS\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/QAD.0000000000004116\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIDS","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/QAD.0000000000004116","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Brain RNA profiling highlights multiple disease pathways in persons with HAND: uncovering determinants of biotype diversity.
Objective: To discover microRNA (miRNA)-RNA transcript interactions dysregulated in brains from persons with HIV-associated neurocognitive disorder (HAND), we investigated RNA expression using machine learning tools.
Design: Brain-derived host RNA transcript and miRNA expression was examined from persons with or without HAND using bioinformatics platforms.
Methods: By combining next generation sequencing, droplet digital (dd)PCR quantitation of HIV-1 genomes, with bioinformatics and statistical tools, we investigated differential RNA expression in frontal cortex from persons without HIV (HIV[-]), with HIV without brain disease (HIV[+]), with HIV-associated neurocognitive disorder (HAND), or HAND with encephalitis (HIVE).
Results: Expression levels for 147 transcripts and 43 miRNAs showed a minimum 4-fold difference between clinical groups with a predominance of antiviral (Type I interferon) signaling-, neural cell maintenance-, and neurodevelopmental disorder-related genes that was validated by gene ontology and molecular pathway inferences. Scale of signal-to-noise ratio (SSNR) and biweight midcorrelation (bicor) analyses identified 14 miRNAs and 45 RNA transcripts, which were highly correlated and differentially expressed (p ≤ 0.05). Machine learning applications compared regression models predicated on HIV-1 DNA, or RNA viral quantities that disclosed miR-4683 and miR-154-5p were dominant variables associated with differential expression of host RNAs. These miRNAs were also associated with antiviral-, cell maintenance-, and neurodevelopmental disorder-related genes.
Conclusions: Antiviral as well as neurodevelopmental disorder-related pathways in brain were associated with HAND, based on correlated RNA transcripts and miRNAs. Integrated molecular methods with machine learning offer insights into disease mechanisms, underpinning brain-related biotypes among persons with HIV that could direct clinical care.
期刊介绍:
Publishing the very latest ground breaking research on HIV and AIDS. Read by all the top clinicians and researchers, AIDS has the highest impact of all AIDS-related journals. With 18 issues per year, AIDS guarantees the authoritative presentation of significant advances. The Editors, themselves noted international experts who know the demands of your work, are committed to making AIDS the most distinguished and innovative journal in the field. Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.