Evidence map›Paper›PMID 36376486›Full record

ArticleCommunications medicine2022

Adiposity and NMR-measured lipid and metabolic biomarkers among 30,000 Mexican adults.

Diego Aguilar-Ramirez, William G Herrington, Jesus Alegre-Díaz, Natalie Staplin, Raúl Ramírez-Reyes, Louisa Friedrichs Gnatiuc, Michael Hill, Frederik Romer, Eirini Trichia, Fiona Bragg and 6 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Obesity and cardiovascular risk: a primer for the clinician.Archivos de cardiologia de Mexico · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Article
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

16 authors at 2 institutions in 2 countries.

Diego Aguilar-Ramirez *Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-2298-3768
William G Herrington *Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jesus Alegre-Díaz *Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.ORCID http://orcid.org/0000-0001-9390-3871
Natalie StaplinClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Raúl Ramírez-ReyesFaculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Louisa Friedrichs GnatiucClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0641-2220
Michael HillClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Frederik RomerClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-8621-5488
Eirini TrichiaClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-7655-5905
Fiona BraggClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9181-6886
Rachel WadeClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-9826-6322
Sarah LewingtonClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Rory CollinsClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jonathan R EmbersonClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. jonathan.emberson@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0001-7792-9422
Pablo Kuri-MoralesFaculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Roberto Tapia-ConyerFaculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico. tapiaconyer@gmail.com.
University of Oxford · GBUniversidad Nacional Autónoma de México · MX

Funding

British Heart Foundation CH/1996001/9454British Heart Foundation RE/13/1/30181British Heart Foundation (BHF) RE/13/1/30181Medical Research Council G0300622Medical Research Council MC_EX_G0801669Medical Research Council MC_PC_12027Medical Research Council MC_PC_12028Medical Research Council MC_PC_12029Medical Research Council MC_U137686854Medical Research Council MC_U137686857Medical Research Council MC_UU_00017/3Medical Research Council MC_UU_12026/3RCUK | Medical Research Council (MRC) MC_UU_00017/2Wellcome TrustWellcome Trust (Wellcome) 058299/Z/99
6 · The paper itself

Abstract

backgroundAdiposity is a major cause of morbidity and mortality in part due to effects on blood lipids. Nuclear magnetic resonance (NMR) spectroscopy provides direct information on >130 biomarkers mostly related to blood lipid particles.

methodsAmong 28,934 Mexican adults without chronic disease and not taking lipid-lowering therapy, we examine the cross-sectional relevance of body-mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and hip circumference (HC) to NMR-measured metabolic biomarkers. Confounder-adjusted associations between each adiposity measure and NMR biomarkers are estimated before and after mutual adjustment for other adiposity measures.

resultsMarkers of general (ie, BMI), abdominal (ie, WC and WHR) and gluteo-femoral (ie, HC) adiposity all display similar and strong associations across the NMR-platform of biomarkers, particularly for biomarkers that increase cardiometabolic risk. Higher adiposity associates with higher levels of Apolipoprotein-B (about 0.35, 0.30, 0.35, and 0.25 SD higher Apolipoprotein-B per 2-SD higher BMI, WHR, WC, and HC, respectively), higher levels of very low-density lipoprotein particles (and the cholesterol, triglycerides, and phospholipids within these lipoproteins), higher levels of all fatty acids (particularly mono-unsaturated fatty acids) and multiple changes in other metabolic biomarkers including higher levels of branched-chain amino acids and the inflammation biomarker glycoprotein acetyls. Associations for general and abdominal adiposity are fairly independent of each other but, given general and abdominal adiposity, higher gluteo-femoral adiposity is associated with a strongly favourable cardiometabolic lipid profile.

conclusionsOur results provide insight to the lipidic and metabolomic signatures of different adiposity markers in a previously understudied population where adiposity is common but lipid-lowering therapy is not.

Identifiers

PMID36376486
PMCPMC9663185
OpenAlexW4308945922

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.