Evidence map›Paper›PMID 35050683›Full record

SynthesisCirculation2022

Circulating Metabolome and White Matter Hyperintensities in Women and Men.

Eeva Sliz, Jean Shin, Shahzad Ahmad, Dylan M Williams, Stefan Frenzel, Friederike Gauß, Sarah E Harris, Ann-Kristin Henning, Maria Valdes Hernandez, Yi-Han Hu and 30 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. A spatially resolved genomic-molecular atlas of human white-matter microstructure.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. White matter hyperintensities are associated with locus coeruleus atrophy and astrocytic βAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Large-Scale Population-Based Studies of Blood Metabolome and Brain Health.Current topics in behavioral neurosciences · 2024
    Review
  16. Article
  17. Blood-brain barrier leakage hotspots collocating with brain lesions due to sporadic and monogenic small vessel disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

40 authors at 16 institutions in 8 countries.

Eeva SlizThe Hospital for Sick Children (E.S., J.S., Z.P.), University of Toronto, Canada.ORCID 0000-0002-2316-058X
Jean ShinThe Hospital for Sick Children (E.S., J.S., Z.P.), University of Toronto, Canada.ORCID 0000-0001-7353-5178
Shahzad AhmadDepartments of Epidemiology (S.A., M.W.V., M.G., M.A.I.), Erasmus Medical Centre, Rotterdam, the Netherlands.ORCID 0000-0002-8658-3790
Dylan M WilliamsMRC Unit for Lifelong Health and Ageing at UCL (D.M.W., C.S., M.R., N.C.), University College London, United Kingdom.
Stefan FrenzelDepartment of Psychiatry and Psychotherapy (S.F., K.W., H.J.G.), University Medicine Greifswald, Germany.ORCID 0000-0001-5087-5970
Sarah E HarrisLothian Birth Cohorts Group, Department of Psychology, University of Edinburgh, United Kingdom (S.E.H., I.J.D., S.R.C.).ORCID 0000-0002-4941-5106
Ann-Kristin HenningInstitute of Clinical Chemistry and Laboratory Medicine (F.G., A.-K.H., M.N.), University Medicine Greifswald, Germany.
Maria Valdes HernandezCentre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh (M.V.H., J.M.W.), United Kingdom.ORCID 0000-0003-2771-6546
Yi-Han HuLaboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD (Y.-H.H., L.L.).ORCID 0000-0003-0882-6563
Beatriz JiménezNational Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, United Kingdom (B.J., M.R.L.).ORCID 0000-0003-4593-6075
Muralidharan SargurupremrajInserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, University of Bordeaux, France (M.S., S.D.).ORCID 0000-0003-1684-3750
Carole SudreMRC Unit for Lifelong Health and Ageing at UCL (D.M.W., C.S., M.R., N.C.), University College London, United Kingdom.ORCID 0000-0001-5753-428X
Ruiqi WangDepartment of Biostatistics, Boston University, MA (R.W., Q.Y.).ORCID 0000-0002-6894-1320
Katharina WittfeldDepartment of Psychiatry and Psychotherapy (S.F., K.W., H.J.G.), University Medicine Greifswald, Germany.ORCID 0000-0003-4383-5043
Qiong YangDepartment of Biostatistics, Boston University, MA (R.W., Q.Y.).ORCID 0000-0002-3658-1375
Joanna M WardlawCentre for Clinical Brain Sciences, UK Dementia Research Institute at the University of Edinburgh (M.V.H., J.M.W.), United Kingdom.ORCID 0000-0002-9812-6642
Henry VölzkeInstitute for Community Medicine (H.V.), University Medicine Greifswald, Germany.
Meike W VernooijDepartments of Epidemiology (S.A., M.W.V., M.G., M.A.I.), Erasmus Medical Centre, Rotterdam, the Netherlands.ORCID 0000-0003-4658-2176
Jonathan M SchottDementia Research Centre, UCL Queen Square Institute of Neurology (J.M.S., J.B.), University College London, United Kingdom.
Marcus RichardsMRC Unit for Lifelong Health and Ageing at UCL (D.M.W., C.S., M.R., N.C.), University College London, United Kingdom.
Petroula ProitsiInstitute of Psychiatry, Psychology and Neuroscience (P.P.), King's College London, United Kingdom.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine (F.G., A.-K.H., M.N.), University Medicine Greifswald, Germany.
Matthew R LewisNational Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, United Kingdom (B.J., M.R.L.).
Lenore LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD (Y.-H.H., L.L.).ORCID 0000-0002-3238-7612
Norbert HostenInstitute of Diagnostic Radiology and Neuroradiology (N.H.), University Medicine Greifswald, Germany.ORCID 0000-0002-4149-5666
Hans J GrabeGermany Center for Neurodegenerative Diseases (DZNE), partner site Rostock/Greifswald, Greifswald, Germany (K.W., H.J.G.).
Mohsen GhanbariDepartments of Epidemiology (S.A., M.W.V., M.G., M.A.I.), Erasmus Medical Centre, Rotterdam, the Netherlands.ORCID 0000-0002-9476-7143
Ian J DearyLothian Birth Cohorts Group, Department of Psychology, University of Edinburgh, United Kingdom (S.E.H., I.J.D., S.R.C.).
Simon R CoxLothian Birth Cohorts Group, Department of Psychology, University of Edinburgh, United Kingdom (S.E.H., I.J.D., S.R.C.).
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL (D.M.W., C.S., M.R., N.C.), University College London, United Kingdom.ORCID 0000-0002-6211-2775
Josephine BarnesDementia Research Centre, UCL Queen Square Institute of Neurology (J.M.S., J.B.), University College London, United Kingdom.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R.).ORCID 0000-0001-7191-1723
Stephanie DebetteInserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, University of Bordeaux, France (M.S., S.D.).ORCID 0000-0001-8675-7968
M Arfan IkramDepartments of Epidemiology (S.A., M.W.V., M.G., M.A.I.), Erasmus Medical Centre, Rotterdam, the Netherlands.ORCID 0000-0003-0372-8585
Myriam FornageUniversity of Texas Health Science Center at Houston McGovern Medical School (M.F.).ORCID 0000-0003-0677-8158
Tomas PausPsychology and Psychiatry (T.P.), University of Toronto, Canada.
Sudha SeshadriThe Framingham Heart Study, MA (S.S.).
Zdenka PausovaThe Hospital for Sick Children (E.S., J.S., Z.P.), University of Toronto, Canada.ORCID 0000-0002-7784-1380
NeuroCHARGE Working Group
Universitätsmedizin Greifswald · DEUK Dementia Research Institute · GBBoston University · USErasmus MC · NLNHS Lothian · GBUniversity of Toronto · CAImperial College London · GBKing's College London · GBMRC Unit for Lifelong Health and Ageing · GBNational Institute on Aging · USUniversité de Bordeaux · FRKarolinska Institutet · SELeiden University · NLThe University of Texas Health Science Center · USUCLA Medical Center · USUniversité du Québec à Chicoutimi · CA

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
CLINICAL PROJECT: Age, Gene/Environment Susceptibility Study on the Multi-omics of Aging: A clinical epidemiologic prospective studyZIAAG007380 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2025
$6.1M
Brain aging and cardiovascular risk factors and diseaseZIAAG007480 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2011 to 2025
$2.7M
Visceral fat, systemic inflammation and brain-tissue health: towards early detection and prevention of Alzheimer’s disease.R01AG056726 · NIA · HOSPITAL FOR SICK CHLDRN (TORONTO) · PI PAUSOVA, ZDENKA · 2018 to 2022
$2.6M
British Heart FoundationMedical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MC_PC_12025Medical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/3Medical Research Council MR/L023784/2Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1NCATS NIH HHS UL1 TR001881NIA NIH HHS R01 AG056726NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

backgroundWhite matter hyperintensities (WMH), identified on T2-weighted magnetic resonance images of the human brain as areas of enhanced brightness, are a major risk factor of stroke, dementia, and death. There are no large-scale studies testing associations between WMH and circulating metabolites.

methodsWe studied up to 9290 individuals (50.7% female, average age 61 years) from 15 populations of 8 community-based cohorts. WMH volume was quantified from T2-weighted or fluid-attenuated inversion recovery images or as hypointensities on T1-weighted images. Circulating metabolomic measures were assessed with mass spectrometry and nuclear magnetic resonance spectroscopy. Associations between WMH and metabolomic measures were tested by fitting linear regression models in the pooled sample and in sex-stratified and statin treatment-stratified subsamples. Our basic models were adjusted for age, sex, age×sex, and technical covariates, and our fully adjusted models were also adjusted for statin treatment, hypertension, type 2 diabetes, smoking, body mass index, and estimated glomerular filtration rate. Population-specific results were meta-analyzed using the fixed-effect inverse variance-weighted method. Associations with false discovery rate (FDR)-adjusted

resultsIn the meta-analysis of results from the basic models, we identified 30 metabolomic measures associated with WMH (

conclusionsCirculating metabolomic measures, including multiple lipid measures (eg, lysophosphatidylcholines, hydroxysphingomyelins, low-density lipoprotein size and composition) and nonlipid metabolites (eg, hydroxyphenylpyruvate, glucuronate), associate with WMH in a general population of middle-aged and older adults. Some metabolomic measures show marked sex specificities and explain a sizable proportion of WMH variance.

Indexed as

Diabetes Mellitus, Type 2White MatterAgedBrainFemaleHumansMagnetic Resonance ImagingMaleMetabolomeMiddle Agedbrainglucuronic acidhydroxyphenylpyruvatelipidomicslipid ratioslipidslysophosphatidylcholinesmetabolomicssphingomyelinswhite matter

Identifiers

PMID35050683
PMCPMC9645366
OpenAlexW4205510598

What OpenQuestion holds

Textmetadata
LicenceTDM
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.