Evidence map›Paper›PMID 29402284›Full record

ArticleBMC medicine2018

Metabolic characterization of menopause: cross-sectional and longitudinal evidence.

Qin Wang, Diana L Santos Ferreira, Scott M Nelson, Naveed Sattar, Mika Ala-Korpela, Debbie A Lawlor

Abstract read
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 pooled it
–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.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Cardiovascular Changes in Menopause.Current cardiology reviews · 2021
    Pooled it
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  5. Efficacy ofNutrients · 2024
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qin WangComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Diana L Santos FerreiraMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Scott M NelsonSchool of Medicine, University of Glasgow, Glasgow, UK.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Debbie A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. d.a.lawlor@bristol.ac.uk.

Funding

British Heart Foundation SP/07/008/24066Medical Research Council 102215/2/13/2Medical Research Council G1001357Medical Research Council G9815508Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/5UK Medical Research Council G1001357Wellcome WT092830MWellcome TrustWellcome Trust MC_UU_12013/1Wellcome Trust MC_UU_12013/5
6 · The paper itself

Abstract

backgroundWomen who experience menopause are at higher cardiometabolic risk and often display adverse changes in metabolic biomarkers compared with pre-menopausal women. It remains elusive whether the changes in cardiometabolic biomarkers during the menopausal transition are due to ovarian aging or chronological aging. Well-conducted longitudinal studies are required to determine this. The aim of this study was to explore the cross-sectional and longitudinal associations of reproductive status, defined according to the 2012 Stages of Reproductive Aging Workshop criteria, with 74 metabolic biomarkers, and establish whether any associations are independent of age-related changes.

methodsWe determined cross-sectional associations of reproductive status with metabolic profiling in 3,312 UK midlife women. In a subgroup of 1,492 women who had repeat assessments after 2.5 years, we assessed how the change in reproductive status was associated with the changes in metabolic biomarkers. Metabolic profiles were measured by high-throughput quantitative nuclear magnetic resonance metabolomics. In longitudinal analyses, we compared the change in metabolic biomarkers for each reproductive-status category change to that of the reference of being pre-menopausal at both time points. As all women aged by a similar amount during follow-up, these analyses contribute to distinguishing age-related changes from those related to change in reproductive status.

resultsConsistent cross-sectional and longitudinal associations of menopause with a wide range of metabolic biomarkers were observed, suggesting the transition to menopause induces multiple metabolic changes independent of chronological aging. The metabolic changes included increased concentrations of very small very low-density lipoproteins, intermediate-density lipoproteins, low-density lipoproteins (LDLs), remnant, and LDL cholesterol, and reduced LDL particle size, all toward an atherogenic lipoprotein profile. Increased inflammation was suggested via an inflammatory biomarker, glycoprotein acetyls, but not via C-reactive protein. Also, levels of glutamine and albumin increased during the transition. Most of these metabolic changes seen at the time of becoming post-menopausal remained or became slightly stronger during the post-menopausal years.

conclusionsThe transition to post-menopause has effects on multiple circulating metabolic biomarkers, over and above the underlying age trajectory. The adverse changes in multiple apolipoprotein-B-containing lipoprotein subclasses and increased inflammation may underlie women's increased cardiometabolic risk in their post-menopausal years.

Indexed as

AdultAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMenopauseMiddle AgedChronological ageCirculating biomarkersCross-sectionalLongitudinalMenopauseMetabolic profileMetabolomicsPost-menopausalReproductive status

Identifiers

PMID29402284
PMCPMC5800033

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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.