Evidence map›Paper›PMID 36112176›Full record

ArticleClinical neuroradiology2023

White Matter Characteristics of Damage Along Fiber Tracts in Patients with Type 2 Diabetes Mellitus.

Haoming Huang, Xiaomeng Ma, Xiaomei Yue, Shangyu Kang, Yifan Li, Yawen Rao, Yue Feng, Jinjian Wu, Wenjie Long, Yuna Chen and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diabetes, brain health, and treatment gains in post-stroke aphasia.Cerebral cortex (New York, N.Y. : 1991) · 2023
    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

13 authors at 2 institutions in 1 country.

Haoming HuangThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0003-2809-972X
Xiaomeng MaThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Xiaomei YueThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Shangyu KangThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Yifan LiThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Yawen RaoThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Yue FengThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Jinjian WuThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Wenjie LongDepartment of Geriatrics, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Yuna ChenThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Wenjiao LyuThe First Clinical Medical College, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China.
Xin TanDepartment of Radiology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China. banzi00@126.com.
Shijun QiuDepartment of Radiology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, 510405, Guangzhou, Guangdong, China. qiu-sj@163.com.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

Second Batch of National Traditional Chinese Medicine (TCM) Clinical Research Base Project 201813The Key International Cooperation Project of National Natural Science Foundation of China 81920108019The Medical Scientific Research Foundation of Guangdong Province A2021182The Medical Scientific Research Foundation of Guangdong Province B2022108
6 · The paper itself

Abstract

purposeThe white matter (WM) of the brain of type 2 diabetes mellitus (T2DM) patients is susceptible to neurodegenerative processes, but the specific types and positions of microstructural lesions along the fiber tracts remain unclear.

methodsIn this study 61 T2DM patients and 61 healthy controls were recruited and underwent diffusion spectrum imaging (DSI). The results were reconstructed with diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). WM microstructural abnormalities were identified using tract-based spatial statistics (TBSS). Pointwise WM tract differences were detected through automatic fiber quantification (AFQ). The relationships between WM tract abnormalities and clinical characteristics were explored with partial correlation analysis.

resultsTBSS revealed widespread WM lesions in T2DM patients with decreased fractional anisotropy and axial diffusivity and an increased orientation dispersion index (ODI). The AFQ results showed microstructural abnormalities in T2DM patients in specific portions of the right superior longitudinal fasciculus (SLF), right arcuate fasciculus (ARC), left anterior thalamic radiation (ATR), and forceps major (FMA). In the right ARC of T2DM patients, an aberrant ODI was positively correlated with fasting insulin and insulin resistance, and an abnormal intracellular volume fraction was negatively correlated with fasting blood glucose. Additionally, negative associations were found between blood pressure and microstructural abnormalities in the right ARC, left ATR, and FMA in T2DM patients.

conclusionUsing AFQ, together with DTI and NODDI, various kinds of microstructural alterations in the right SLF, right ARC, left ATR, and FMA can be accurately identified and may be associated with insulin and glucose status and blood pressure in T2DM patients.

Indexed as

Diabetes Mellitus, Type 2InsulinsWhite MatterAnisotropyBrainDiffusion Tensor ImagingHumansInsulinsAutomatic fiber quantificationDiffusion tensor imagingNeurite orientation dispersion and density imagingTract-based spatial statisticsType 2 diabetes mellitus

Identifiers

PMID36112176
PMCPMC10220145
OpenAlexW4296027611

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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.