Article in The Journal of infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Michael L FreemanRustbelt Center for AIDS Research, Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0000-0002-7690-5258
Wendy FitzgeraldSection on Intercellular Interactions, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-5752-8250
Brian M ClagettRustbelt Center for AIDS Research, Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0009-0006-4046-125X
Katelyn A O'HareRustbelt Center for AIDS Research, Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0009-0007-3380-2527
Vikhyath JonnalagaddaRustbelt Center for AIDS Research, Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0009-0007-3999-1023
Brigid M WilsonGeriatric Research, Education, and Clinical Center, Veterans Affairs Northeast Ohio Healthcare System, Cleveland, Ohio, USA.
Leonid MargolisFaculty of Natural Sciences and Medicine, Ilia State University, Tbilisi, Georgia.
Kunling WuCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Katherine TassiopoulosDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-4773-2535
Carey L ShiveGeriatric Research, Education, and Clinical Center, Veterans Affairs Northeast Ohio Healthcare System, Cleveland, Ohio, USA.
Kristine M ErlandsonDivision of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0003-0808-6729
Funding
Leadership and Operations Center (LOC), AIDS Clinical Trials Group (ACTG); LOC 1/UM1AI068636 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph J Eron, RAJESH T GANDHI · 2011 to 2026
$1073.1M
Statistical and Data Management Center (SDMC), AIDS Clinical Trials Group (ACTG)UM1AI068634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marlene Ann Cooper, Michael David Hughes · 2011 to 2026
$246.6M
Validation, CLIA and Qualification (VQC): Enhancing the RS ratio as a tool for AIDS Clinical Trial Group (ACTG) tuberculosis trialsUM1AI106701 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Grace M Aldrovandi · 2014 to 2026
$116.8M
Mentoring Across Disciplines: Aging and Infectious Diseases with a Focus on MobilityK24AG082527 · NIA · UNIVERSITY OF COLORADO DENVER · PI Kristine Mace Erlandson · 2023 to 2026
$768k
New Works Concept Sheet (NWCS) 526 from the Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections (ACTG) network AI068636NIAID NIH HHS UM1 AI068634NIAID NIH HHS UM1 AI068636NIAID NIH HHS UM1 AI106701NIA NIH HHS K24 AG082527Veterans Affairs Merit Award BX006011
6 · The paper itself
Abstract
backgroundLittle is known about the specific inflammatory networks and immune parameters that drive frailty outcomes in people with HIV (PWH).
methodsPlasma analytes and T-cell phenotypes from PWH without frailty (0 Fried score, n = 60) and with frailty (≥3 Fried score, n = 60) were measured by Luminex assay or flow cytometry. Multiple least-squares linear regression analysis was used to determine the association of each marker with frailty in unadjusted and adjusted models. Spearman correlations were used to determine the association of plasma analytes with T-cell phenotypes.
resultsWe found that 19 of 75 markers measured in plasma were significantly associated with frailty, most of which are downstream of NF-κB signaling and are senescence-associated secretory phenotype (SASP) components. In frail individuals, the proportions of CD4 and CD8 T cells with a naïve phenotype were significantly reduced, and the proportions of CD4 T cells expressing TIGIT and PD-1 were significantly elevated. Of the frailty-associated analytes, we found that only osteoprotegerin and TNF levels were significantly correlated with percent naïve, TIGIT+, and PD-1+ CD4 T cells among PWH with frailty. Osteoprotegerin levels were negatively correlated with CD4/CD8 T-cell ratio.
conclusionsWe found a strong association of the SASP and NF-κB-related inflammation with frailty in PWH. Osteoprotegerin can inhibit osteoclast formation and prevent bone resorption. Low proportion of naïve CD4 T cells and increased TIGIT and PD-1 expression were associated with both osteoprotegerin levels and frailty, suggesting a link between inflammation, T-cell activation, bone health, and frailty in PWH.
Indexed as
Bone and BonesFrailtyHIV InfectionsInflammationAdultBiomarkersCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleHumansMaleMiddle AgedNF-kappa BSenescence-Associated Secretory PhenotypeT-Cell ExhaustionBiomarkersNF-kappa BfrailtyHIV/AIDSinflammationsenescence-associated secretory phenotypeT cells
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.