Evidence map›Paper›PMID 39883521›Full record

ArticleJCI insight2025

Characterization of cognitive decline in long-duration type 1 diabetes by cognitive, neuroimaging, and pathological examinations.

Hetal S Shah, Matthew N DeSalvo, Anastasia Haidar, Surya Vishva Teja Jangolla, Marc Gregory Yu, Rebecca S Roque, Amanda Hayes, John Gauthier, Nolan Ziemniak, Elizabeth Viebranz and 12 more

Abstract read
In one paragraph

Article in JCI insight, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

22 authors.

Hetal S ShahDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Matthew N DeSalvoDepartment of Radiology, and.
Anastasia HaidarPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Surya Vishva Teja JangollaDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Marc Gregory YuDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Rebecca S RoqueDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Amanda HayesDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
John GauthierDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Nolan ZiemniakDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Elizabeth ViebranzDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
I-Hsien WuDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Kyoungmin ParkDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Ward FickweilerDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Tanvi J ChokshiDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Tashrif BillahPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Lipeng NingPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Atif AdamDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Jennifer K SunDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Lloyd Paul AielloDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.
Yogesh RathiDepartment of Radiology, and.
Mel B FeanyDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
George L KingDianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, Massachusetts, USA.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Genetic Analysis of NeurodegenerationR35NS132225 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI MEL B FEANY · 2023 to 2026
$3.7M
NIDDK NIH HHS P30 DK036836NINDS NIH HHS R35 NS132225
6 · The paper itself

Abstract

BACKGROUNDWe aimed to characterize factors associated with the under-studied complication of cognitive decline in aging people with long-duration type 1 diabetes (T1D).METHODSJoslin "Medalists" (n = 222; T1D ≥ 50 years) underwent cognitive testing. Medalists (n = 52) and age-matched nondiabetic controls (n = 20) underwent neuro- and retinal imaging. Brain pathology (n = 26) was examined. Relationships among clinical, cognitive, and neuroimaging parameters were evaluated.RESULTSCompared with controls, Medalists had worse psychomotor function and recall, which associated with female sex, lower visual acuity, reduced physical activity, longer diabetes duration, and higher inflammatory cytokines. On neuroimaging, compared with controls, Medalists had significantly lower total and regional brain volumes, equivalent to 9 years of accelerated aging, but small vessel disease markers did not differ. Reduced brain volumes associated with female sex, reduced psychomotor function, worse visual acuity, longer diabetes duration, and higher inflammation, but not with glycemic control. Worse cognitive function, lower brain volumes, and diabetic retinopathy correlated with thinning of the outer retinal nuclear layer. Worse baseline visual acuity associated with declining psychomotor function in longitudinal analysis. Brain volume mediated the association between visual acuity and psychomotor function by 57%. Brain pathologies showed decreased volumes, but predominantly mild vascular or Alzheimer's-related pathology.CONCLUSION To our knowledge, this is the first comprehensive study of cognitive function, neuroimaging, and pathology in aging T1D individuals demonstrated that cognitive decline was related to parenchymal rather than neurovascular abnormalities, unlike type 2 diabetes, suggestive of accelerated aging in T1D. Improving visual acuity could perhaps be an important preventive measure against cognitive decline in people with T1D.FUNDINGThe Beatson Foundation, NIH/NIDDK grants 3P30DK036836-34S1 and P30DK036836-37, and Mary Iacocca fellowships.

Indexed as

BrainCognitive DysfunctionDiabetes Mellitus, Type 1AgedCase-Control StudiesCognitionDiabetic RetinopathyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingVisual AcuityAgingDementiaDiabetesEndocrinology

Identifiers

PMID39883521
PMCPMC11949075

What Socratic holds

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Registered trials

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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.