Evidence map›Paper›PMID 38715055›Full record

ArticleCardiovascular diabetology2024

Cross-sectional and longitudinal associations of Iron biomarkers and cardiovascular risk factors in pre- and postmenopausal women: leveraging repeated measurements to address natural variability.

Noushin Sadat Ahanchi, Amira Salomé Fischer, Hugo G Quezada-Pinedo, Farnaz Khatami, Michele F Eisenga, Taulant Muka, Pedro-Marques Vidal

Abstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Noushin Sadat AhanchiInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland. Noushinsadat.Ahanchi@chuv.ch.
Amira Salomé FischerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Hugo G Quezada-PinedoDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Farnaz KhatamiInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Michele F EisengaDivision of Nephrology, Department of Internal Medicine, University of Groningen, Groningen, Netherlands.
Taulant MukaInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Pedro-Marques VidalDepartment of Internal Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland. pedro-manuel.marques-vidal@chuv.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between iron biomarkers and cardiovascular disease risk factors (CVD-RFs) remains unclear. We aimed to (1) evaluate the cross-sectional and longitudinal associations between iron biomarkers (serum ferritin, transferrin saturation (TSAT), transferrin) and CVD-RFs among women, and (2) explore if these associations were modified by menopausal status.

methodCross-sectional and longitudinal analyses including 2542 and 1482 women from CoLaus cohort, respectively. Multiple linear regression and multilevel mixed models were used to analyse the associations between Iron biomarkers and CVD-RFs. Variability of outcomes and iron markers between surveys was accessed using intraclass correlation (ICC).

resultsAfter multivariable adjustment, elevated serum ferritin levels were associated with increased insulin and glucose levels, while higher transferrin levels were linked to elevated glucose, insulin and total cholesterol, and systolic and diastolic blood pressure (p < 0.05). No association was observed between CVD-RFs and TSAT (p > 0.05). Iron biomarkers demonstrated low reliability across reproductive stages but exhibited stronger associations in the perimenopausal group. In longitudinal analysis, we found association only for transferrin with lower glucose levels [β = - 0.59, 95% CI (- 1.10, - 0.08), p = 0.02] and lower diastolic blood pressure [β = - 7.81, 95% CI (- 15.9, - 0.56), p = 0.04].

conclusionIn cross-sectional analysis, transferrin was associated with several CVD-RFs, and the associations did not change according to menopausal status. Conversely, in the longitudinal analyses, changes in transferrin were associated only with lower glucose and diastolic blood pressure levels. These differences might stem from the substantial longitudinal variation of iron biomarkers, underscoring the need for multiple iron measurements in longitudinal analyses.

Indexed as

BiomarkersCardiovascular DiseasesFerritinsHeart Disease Risk FactorsPostmenopauseTransferrinAdultAgedAge FactorsBlood GlucoseBrazilCross-Sectional StudiesFemaleHumansIronLongitudinal StudiesBiomarkersBlood GlucoseFerritinsIronTransferrinCardio-metabolic risk factorsCohortIron biomarkersMenopause

Identifiers

PMID38715055
PMCPMC11077797

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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.