{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:08:48Z","timestamp":1776179328242,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T00:00:00Z","timestamp":1760313600000},"content-version":"vor","delay-in-days":12,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2025GXNSFBA069245"],"award-info":[{"award-number":["2025GXNSFBA069245"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2020GXNSFAA159020"],"award-info":[{"award-number":["2020GXNSFAA159020"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012543","name":"Youth Science Foundation of Guangxi Medical University","doi-asserted-by":"publisher","award":["GXMUYSF202504"],"award-info":[{"award-number":["GXMUYSF202504"]}],"id":[{"id":"10.13039\/501100012543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical &amp; Translational Med"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>A subset of people living with HIV (PLWH) exhibit poor immune recovery despite effective antiretroviral therapy (ART), remaining at risk of disease progression. The immunometabolic mechanisms underlying this immunological non\u2010response remain unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We integrated transcriptomic and immunophenotypic approaches to characterise immune differences between immunological responders (IRs) and non\u2010responders (INRs). Public datasets were analysed to identify differentially expressed genes (DEGs), followed by enrichment analysis, predictive modelling, immune infiltration assessment, and regulatory network construction. In parallel, flow cytometry was performed to assess T and B cell subsets in an independent cohort including IRs, INRs, treatment\u2010na\u00efve patients (TNPs), and healthy controls (HCs).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      DEGs between IRs and INRs were enriched in mitochondrial and ribosomal pathways. INRs showed reduced Th1, Th17, and Tfh cells, alongside increased markers of immune activation and exhaustion. Predictive modelling identified five hub genes (\n                      <jats:italic>ATP5O, PIGY, UQCRQ, COX7C<\/jats:italic>\n                      , and\n                      <jats:italic>BLVRB<\/jats:italic>\n                      ) associated with immune recovery, and clustering based on their expression defined two transcriptionally distinct subtypes. Flow cytometry further confirmed that INRs exhibited diminished CD4\u207a T cell counts, increased PD\u20101\u207a and HLA\u2010DR\u207a expression, and reduced resting memory B cells, reflecting persistent immune dysfunction.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study underscores the pivotal role of immunometabolic dysregulation in shaping heterogeneous immune responses to ART. By integrating computational and experimental data, we identified key biomarkers and regulatory pathways associated with immune recovery. Our findings highlight the central influence of metabolic processes on immune restoration outcomes and propose personalised metabolic interventions as a promising strategy to enhance therapeutic efficacy in HIV\u2010infected individuals.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ctm2.70498","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T06:18:49Z","timestamp":1760422729000},"source":"Crossref","is-referenced-by-count":1,"title":["Immune cell subset profiling and metabolic dysregulation define the divergent immune microenvironments in HIV immunological non\u2010responders"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4107-4336","authenticated-orcid":false,"given":"Qingfei","family":"Chu","sequence":"first","affiliation":[{"name":"Department of Microbiology School of Basic Medicine Guangxi Medical University  Nanning China"},{"name":"Guangxi Key Laboratory of AIDS Prevention and Treatment 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