Evidence map›Paper›PMID 42249678›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Abdominal adiposity and Alzheimer's disease imaging markers across sex and race at midlife.

Mahsa Dolatshahi, Paul K Commean, Mahshid Naghashzadeh, Sara Hosseinzadeh Kassani, Farzaneh Rahmani, Yifei Xu, Jingxia Liu, Soheil Mohammadi, Lakisha Lloyd, Caitlyn Nguyen and 14 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Mahsa DolatshahiMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0002-4524-9462
Paul K CommeanMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Mahshid NaghashzadehMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Sara Hosseinzadeh KassaniMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Farzaneh RahmaniMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Yifei XuDivision of Public Health Sciences, Department of Surgery, Washington University in St Louis School of Medicine, St Louis, MO, USA.
Jingxia LiuDivision of Public Health Sciences, Department of Surgery, Washington University in St Louis School of Medicine, St Louis, MO, USA.ORCID 0000-0002-9434-7907
Soheil MohammadiMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0003-0616-1780
Lakisha LloydMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Caitlyn NguyenMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Abby Mcbee KemperMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Nancy HantlerMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Shaney FloresMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Jake WeeksDepartment of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA, USA.
Lael K CerianiDepartment of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA, USA.
Claude B SirlinDepartment of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA, USA.
Joseph E IppolitoMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Weiying DaiDepartment of Computer Science, State University of New York at Binghamton, State University of New York at Binghamton, Binghamton, NY, USA.
Bettina MittendorferDepartments of Medicine and Nutrition & Exercise Physiology, University of Missouri School of Medicine, University of Missouri School of Medicine, Columbia, MO, USA.
Suzanne E SchindlerKnight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA.
Matthew R BrierMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
John C MorrisKnight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA.
Tammie L S BenzingerMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.
Cyrus A RajiMallinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0002-9086-0105

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS, Suzanne Elizabeth Schindler · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
The Neighborhoods Study: Contextual Disadvantage and Alzheimer’s Disease and Related Dementias (ADRD)R01AG070883 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2021 to 2026
$42.1M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Longitudinal validation of retinal biomarkers against cerebral imaging in preclinical Alzheimer's diseaseR01AG079241 · NIA · UNIVERSITY OF RHODE ISLAND · PI Jessica Alber · 2022 to 2026
$10.4M
Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Neuroinflammation and Alzheimer's Disease Imaging Biomarkers in Midlife ObesityRF1AG072637 · NIA · WASHINGTON UNIVERSITY · PI RAJI, CYRUS A · 2021 to 2021
$2.3M
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2021 to 2026
$2.3M
Fatty liver disease and its determinants in an American Indian Population: the Strong Heart StudyR01DK110096 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2016 to 2018
$2.3M
Neuroinflammation and Alzheimer's Disease Imaging Biomarkers in Midlife ObesityR01AG072637 · NIA · WASHINGTON UNIVERSITY · PI RAJI, CYRUS A · 2024 to 2025
$1.4M
FDA HHS U01 FD007773NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG070883NIA NIH HHS R01 AG072637NIA NIH HHS R01 AG079241NIA NIH HHS RF1 AG072637NIBIB NIH HHS R43 EB034626NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01 DK110096NIDDK NIH HHS R43 DK135225NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK130190
6 · The paper itself

Abstract

BackgroundMidlife obesity is considered one of the top modifiable risk factors for dementia and Alzheimer's disease (AD). However, body mass index (BMI) on its own does not fully represent obesity-associated risks and it is crucial to disentangle the role of body adiposity and its localization.ObjectiveTo investigate the relationship of MRI-derived body adiposity metrics with AD-related pathology at midlife.MethodsNinety-seven cognitively normal midlife individuals underwent brain amyloid and tau PET, body MRI, and metabolic and cognitive assessments. Key measures included hepatic fat fraction, visceral (VAT) and subcutaneous adipose tissue (SAT) volumes, and thigh muscle and adiposity. The correlation between adiposity/metabolic measurements and amyloid/tau pathologies was investigated.ResultsThe average age of participants was 49.8 years, 65.3% were female and 53.6% had obesity. Amyloid PET burden in Centiloids correlated with VAT (rho = 0.36, p = 0.002), BMI (rho = 0.33, p = 0.002), SAT (rho = 0.33, p = 0.002), and insulin resistance (IR) (rho = 0.34, p = 0.003) in females and Whites, lower high-density lipoprotein (HDL) cholesterol (rho = -0.36, p = 0.002) irrespective of sex and race, and lower MMSE scores (rho = -0.57, p = 0.043) in only in African-Americans, after correction for age, sex, and education. There was no evidence that HDL nor IR mediated VAT-related amyloid. VAT/SAT ratio was significantly associated with mean cortical tau SUVR (β = 0.138, p = 0.030) after adjustment for age, sex, education, and amyloid.ConclusionsAmong fat depots in our study, visceral fat was more strongly correlated to amyloid pathology, and this association is present even independent from BMI. Also, higher visceral compared to subcutaneous fat is related to higher tau pathology.

Indexed as

AdiposityAlzheimer DiseaseObesity, AbdominalAmyloid beta-PeptidesBody Mass IndexBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedObesityPositron-Emission TomographyAmyloid beta-PeptidesAlzheimer's diseaseamyloid-βmidlifeobesityvisceral fat

Identifiers

PMID42249678
PMCPMC13353902

What Socratic 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 Socratic graph.