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Record W4417011385 · doi:10.1182/blood-2025-2908

Ferroportin Q248H mutation is associated with the less weight loss in persons with HIV-1

2025· article· en· W4417011385 on OpenAlexaff
Sergei Nekhai, Papa Hoyeck, Asrar Ahmad, Songping Wang, K. Anastos, Jason Lazar, Audrey L. French, Stephen J. Gange, Chloe L. Thio, Steven M. Wolinsky, Shehnaz K. Hussain, Michelle Floris-Moore, Jeremy Martinson, Bradley E. Aouizerat, M. Neale Weitzmann, Margaret A. Fischl, Mirjam-Colette Kempf, James G. Taylor, Marina Jerebtsova, Seble Kassaye

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsYork University
Fundersnot available
KeywordsFerroportinHepcidinMutationPeripheral blood mononuclear cellAnemiaMutantGenotypeCohort

Abstract

fetched live from OpenAlex

Abstract Ferroportin (FPN) disease is a genetically predisposed iron overload driven by over 30 mutations in the FPN gene that increase FPN resistance to degradation by hepcidin. Most of the reported mutations have negligible frequencies, except for the FPN Q248H mutation, which is highly prevalent in Africans (frequency up to 13.4%). A high frequency of the FPN Q248H mutation may be due to a survival advantage and positive selection. Data from combined cohorts comprising over 18,000 African children demonstrated that the FPN Q248H mutation is associated with modest protection against anemia, hemolysis, and iron deficiency, but does not protect against malaria or bacteremia. We hypothesize that the FPN Q248H mutation might protect from HIV-1 infection and possibly other chronic viral infections which have a high burden in Africa, and, thus, be positively selected. Our previous studies showed that the FPN Q248H mutant has reduced sensitivity to hepcidin and facilitated more active iron export in the presence of hepcidin (Nekhai et al., Haematologica, 2013), and that FPN expression inhibits HIV-1 replication (Xu et al., Retrovirology, 2010). We hypothesize that the FPN Q248H mutation might reduce the comorbidities of chronic HIV infection. We genotyped the FPN Q248H mutation in 927 African American male participants from the Multicenter AIDS Cohort Study (MACS, age 26-48 years), including 479 persons with HIV (PWH) and 448 control persons without HIV-1 (PWOH). The FPN Q248H mutation was genotyped by single-nucleotide polymorphism (SNP) assay from Thermo Fisher (rs11568350 SNP ID) using DNA extracted from peripheral blood mononuclear cells. Longitudinal analysis of viral load (VL), CD4+ and CD8+ levels were assessed alongside body weight trends and stratified by the FPN Q248H mutation status. The baseline characteristics between FPN mutants(A/A or A/C) and wild type FPN (C/C) were compared using the Student's t-test. We used mixed-effect models to test the effect of FPN Q248H mutation on the change of CD4, CD8, and weight during the follow-up period in PWH. Models were adjusted for the confounding effect of antiretroviral therapy, the number of male sex partners, and illicit drug use. The frequency of the FPN Q248H mutation was 9.6% in PWH and 9.2% in PWOH. The baseline VL was higher in participants with FPN Q248H (A/A or A/C) mutations (β=0.14, p=0.74), whereas CD4 (β=-1.48, p=0.11), CD8 (β=-1.50, p=0.11), or CD4/CD8 (β=-0.02, p=0.63), levels were lower. The proportion with undetectable VL at the initial visit was higher among PWH with the FPN Q248H (A/A or A/C) mutation (14.3%) compared to WT FPN (C/C) (10.5%). In the 20-year follow-up, there was a statistically significant increase in CD4 (β=0.19, p<0.001), and CD8 (β=0.12, p<0.001), levels in PWH with FPN Q248H mutation compared to those with WT FPN, suggesting better control of HIV-1 infection. Analysis of the longitudinal changes in the body weight of PWH showed a significant increase in participants with the FPN Q248H mutation. PWH with WT FPN gained less than 2% of body weight, whereas PWH who had FPN Q248H mutation gained about 8% of body weight (P for interaction of time and mutation <0.001).PWOH gained about 10% of body weight during the 20-year follow-up period. The findings of this study indicate that PWH with FPN Q248H mutation maintain similar weight trajectories to PWOH as compared to the PWH with WT FPN. Weight loss is a serious complication of HIV infection that increases mortality risks. A substantial proportion of PWH in Sub-Saharan Africa is undernourished, and undernutrition contributes to an increased risk of mortality and other comorbidities. Protection from weight loss (cachexia) in people with chronic infections may contribute to the positive selection of the FPN Q428H mutation in Africa. Future studies will elucidate the mechanism of weight preservation and evaluate the role of iron metabolism modifying treatments in the management of chronic HIV-1 infection. ACKNOWLEDGMENTS: We acknowledge the Genomics Core Facility at the University of Utah for sample processing and genotyping and thank Michael Klein for his assistance. This work was supported by 1R01HL125005, U54MD007597, 2P30AI117970, U01-HL146241, U01-HL146201, U01-HL146204, U01-HL146202, U01-HL146193, U01-HL146245, U01-HL146242, U01-HL146205, U01-HL146203, U01-HL146192, U01-HL146194, UL1-TR000004, P30-AI-050409, P30-AI-050410 and P30-AI-027767.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.238
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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