Evidence map›Paper›PMID 40455934›Full record

ArticleDiabetes2025

Differences in White Matter Microstructure in Children With Type 1 Diabetes Persist During Longitudinal Follow-up: Relation to Dysglycemia.

Nelly Mauras, Qianheng Ma, Stuart A Weinzimer, Neil H White, Eva Tsalikian, Bruce Buckingham, Larry A Fox, William Tamborlane, Ana Maria Arbelaez, Michael Tansey and 8 more

Abstract read
In one paragraph

Article in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

18 authors.

Nelly MaurasDivision of Endocrinology, Diabetes & Metabolism, Nemours Children's Health, Jacksonville, FL.ORCID 0000-0003-1175-3852
Qianheng MaCenter for Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Stuart A WeinzimerDivision of Pediatric Endocrinology, Yale University, New Haven, CT.
Neil H WhiteDivision of Pediatric Endocrinology, Washington University in St. Louis, St. Louis, MO.
Eva TsalikianDivision of Pediatric Endocrinology, University of Iowa, Iowa City, IA.
Bruce BuckinghamDivision of Pediatric Endocrinology, Stanford University, Stanford, CA.
Larry A FoxDivision of Endocrinology, Diabetes & Metabolism, Nemours Children's Health, Jacksonville, FL.
William TamborlaneDivision of Pediatric Endocrinology, Yale University, New Haven, CT.
Ana Maria ArbelaezDivision of Pediatric Endocrinology, Washington University in St. Louis, St. Louis, MO.
Michael TanseyDivision of Pediatric Endocrinology, University of Iowa, Iowa City, IA.
Tandy AyeCenter for Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Allison CatoDivision of Pediatric Neurology, Nemours Children's Health, Jacksonville, FL.
Tamara HersheyDivision of Psychology, Washington University in St. Louis, St. Louis, MO.
Kim EnglertDivision of Endocrinology, Diabetes & Metabolism, Nemours Children's Health, Jacksonville, FL.
Matthew MarzelliCenter for Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Booil JoCenter for Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Allan ReissCenter for Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA.
Diabetes Research in Children Network (DirecNet)

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
MedtronicNational Institute of Child Health and Human Development MH123443National Institute of Child Health and Human Development R01-HD-078463National Institute of Child Health and Human Development U01-HD-41906National Institute of Child Health and Human Development U01-HD-41908National Institute of Child Health and Human Development U01-HD-41915National Institute of Child Health and Human Development U01-HD-56526National Institute of Child Health and Human Development U54-HD-087011National Institute of Child Health and Human Development UL1-TR-001085NIDDK NIH HHS P30 DK056341Washington University in St. Louis U01-HD-41906Washington University in St. Louis U01-HD-56526Washington University in St. Louis UL1-TR-001085
6 · The paper itself

Abstract

Type 1 diabetes has detrimental effects in white matter microstructure. In a longitudinal study, we investigated whether these reported findings change as children grow and enter puberty. At study entry, there were 143 children with type 1 diabetes and 71 control participants without diabetes, 4-9 years old. Brain MRI using diffusion tensor imaging, neurocognitive, and glycemic assessments were performed four times across 6-8 years of follow-up. Longitudinal mixed-effects modeling was used to examine changes in fractional anisotropy (FA), axial diffusivity (AD) (measures of myelination and fiber integrity), radial diffusivity (RD) (axonal leakage), and mean diffusivity (MD) (average diffusion). Associations with glycemic and cognitive measures were assessed. We observed in 182 children (121 type 1 diabetes vs. 61 control participants) who had testing at time 4 that FA increased, and RD, AD, and MD decreased significantly in both groups, with no differences between groups for FA, RD and MD over time. However, children with diabetes had lower AD than control participants at 6-10 years. Differences were not detected at 12 years (age imputed from data), when in puberty. Higher blood glucose levels are associated with lower FA and higher RD and MD. Higher glucose percentage time-in-range was associated with higher FA, reflecting better fiber integrity and myelination and higher cognitive metrics. Within the diabetes group, AD and MD showed no association with neurocognitive outcomes. In summary, white matter AD was decreased in children with diabetes, less so during puberty, and FA was reciprocally related to hyperglycemia. These data suggest continued negative impact of chronic hyperglycemia in the developing brain. ARTICLE HIGHLIGHTS: Type 1 diabetes has detrimental effects in white matter in young children. We performed a longitudinal study using brain MRI (diffusion tensor imaging) and cognitive assessments in 4- to 9-year-old children, control participants without diabetes (n = 71) and with type 1 diabetes (n = 143), plus continuous glucose monitoring, to assess changes at four time points as children grow over 6-8 years. White matter myelination and fiber integrity were assessed using axial diffusivity, which was decreased in the diabetes versus control group, less so during puberty, and fractional anisotropy was reciprocally related to hyperglycemia. Data suggest continued negative impact of chronic hyperglycemia in the developing brain.

Indexed as

Diabetes Mellitus, Type 1White MatterBlood GlucoseBrainChildChild, PreschoolDiffusion Tensor ImagingFemaleFollow-Up StudiesHumansLongitudinal StudiesMagnetic Resonance ImagingMaleBlood Glucose

Identifiers

PMID40455934
PMCPMC12278787

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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 OpenQuestion graph.