Evidence map›Paper›PMID 39829939›Full record

ArticlebioRxiv : the preprint server for biology2025

Insulin resistance, cognition, and functional brain network topology in older adults with obesity.

Clayton C McIntyre, Robert G Lyday, Yixin Su, Barbara Nicklas, Sean L Simpson, Gagan Deep, Shannon L Macauley, Christina E Hugenschmidt

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

8 authors.

Clayton C McIntyreNeuroscience Graduate Program, Wake Forest Graduate School of Arts and Sciences, Winston-Salem, NC, USA.
Robert G LydayDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Yixin SuDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Barbara NicklasDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Sean L SimpsonDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Gagan DeepDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Shannon L MacauleyDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Christina E HugenschmidtDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEON LENCHIK · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Effect of fat loss on functional and cardiovascular benefits of aerobic exerciseR01HL093713 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI NICKLAS, BARBARA J · 2009 to 2013
$3.4M
Vitamin D status, related gene polymorphisms, and physical function in eldersK01AG030506 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HOUSTON, DENISE KATHRYN · 2008 to 2011
$468k
NCATS NIH HHS UL1 TR001420NHLBI NIH HHS R01 HL093713NIA NIH HHS K01 AG030506NIA NIH HHS P30 AG021332
6 · The paper itself

Abstract

Objective: Cross-sectional data from a sample of older adults with obesity was used to determine how peripheral and neuronal insulin resistance (IR) relate to executive function and functional brain network topology. Methods: Older adults (n=71) with obesity but without type 2 diabetes were included. Peripheral IR was quantified by HOMA2-IR. Neuronal IR was quantified according to a proposed neuron-derived exosome-based method (NDE-IR). An executive function composite score, summed scores to the Auditory Verbal Learning Test (AVLT) trials 1-5, and functional brain networks generated from resting-state functional magnetic resonance imaging were outcomes in analyses. We used general linear models and a novel regression framework for brain network analysis to identify relationships between IR measures and brain-related outcomes. Results: HOMA2-IR, but not NDE-IR, was negatively associated with executive function. Neither IR measure was associated with AVLT score. Peripheral IR was also related to hippocampal network topology in participants who had undergone functional neuroimaging. Neither peripheral nor neuronal IR were significantly related to network topology of the central executive network. Conclusions: Cognitive and functional imaging effects were observed from HOMA2-IR, but not NDE-IR. The hippocampus may be particularly vulnerable to effects of peripheral IR.

Identifiers

PMID39829939
PMCPMC11741235

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.