Evidence map›Paper›PMID 35969495›Full record

ArticleMenopause (New York, N.Y.)2022

Long-term changes in plasma proteomic profiles in premenopausal and postmenopausal Black and White women: the Atherosclerosis Risk in Communities study.

Duke Appiah, Pamela J Schreiner, James S Pankow, Guy Brock, Weihong Tang, Faye L Norby, Erin D Michos, Christie M Ballantyne, Aaron R Folsom

Open access · greenAbstract read
In one paragraph

Article in Menopause (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

9 authors at 5 institutions in 1 country.

Duke AppiahFrom the Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX.
Pamela J SchreinerDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
James S PankowDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
Guy BrockDepartment of Biostatistics, The Ohio State University, Columbus OH.
Weihong TangDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
Faye L NorbyDepartment of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA.
Erin D MichosDivision of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MA.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine. Houston, TX.
Aaron R FolsomDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
University of Minnesota · USCedars-Sinai Smidt Heart Institute · USJohns Hopkins Medicine · USTexas Tech University Health Sciences Center · USThe Ohio State University · US

Funding

Profiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1M
NHLBI NIH HHS HHSN268201700003INHLBI NIH HHS R01 HL134320
6 · The paper itself

Abstract

objectiveThe activity, localization, and turnover of proteins within cells and plasma may contribute to physiologic changes during menopause and may influence disease occurrence. We examined cross-sectional differences and long-term changes in plasma proteins between premenopausal and naturally postmenopausal women.

methodsWe used data from 4,508 (19% Black) women enrolled in the Atherosclerosis Risk in Communities study. SOMAscan multiplexed aptamer technology was used to measure 4,697 plasma proteins. Linear regression models were used to compare differences in proteins at baseline (1993-1995) and 18-year change in proteins from baseline to 2011-2013.

resultsAt baseline, 472 women reported being premenopausal and 4,036 women reported being postmenopausal, with average ages of 52.3 and 61.4 years, respectively. A greater proportion of postmenopausal women had diabetes (15 vs 9%), used hypertension (38 vs 27%) and lipid-lowering medications (10 vs 3%), and had elevated total cholesterol and waist girth. In multivariable adjusted models, 38 proteins differed significantly between premenopausal and postmenopausal women at baseline, with 29 of the proteins also showing significantly different changes between groups over the 18-year follow-up as the premenopausal women also reached menopause. These proteins were associated with various molecular/cellular functions (cellular development, growth, proliferation and maintenance), physiological system development (skeletal and muscular system development, and cardiovascular system development and function), and diseases/disorders (hematological and metabolic diseases and developmental disorders).

conclusionsWe observed significantly different changes between premenopausal and postmenopausal women in several plasma proteins that reflect many biological processes. These processes may help to understand disease development during the postmenopausal period.

Indexed as

AtherosclerosisPostmenopauseCholesterolCross-Sectional StudiesFemaleHumansLipidsMenopauseMiddle AgedPremenopauseProteomicsCholesterolLipids

Identifiers

PMID35969495
PMCPMC9509415
OpenAlexW4291608410

What OpenQuestion holds

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Registered trials

None linked

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.