Establishing a Diagnostic Model Based on Plasma CDR1as and Alpha-Synuclein for Mild Cognitive Impairment in Type 2 Diabetes.

Wencan Ji, Canjun Wang, Xinhui Wang, Yan Liang, Shanhu Qiu, Shaohua Wang

Abstract read

In one paragraph

Article in Molecular neurobiology, 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

6 authors.

Wencan JiDepartment of General Practice, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.

Canjun WangCenter of Clinical Laboratory Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.

Xinhui WangDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Yan LiangDepartment of General Practice, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.

Shanhu QiuDepartment of General Practice, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.

Shaohua WangDepartment of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu, China. gyjwsh@126.com.

Funding

Key Research Base Foundation of Philosophy and Social Sciences of Jiangsu Education Department 2021B05Open Project Programme of the Key Base for Standardized Training for General Physicans, Zhongda Hospital, Southeast University ZDZYJD-QK-2022-5

6 · The paper itself

Abstract

Emerging evidence implicates cerebellar degeneration-related protein 1 antisense transcript (CDR1as) and alpha-synuclein (α-Syn) in diabetes and cognitive decline, suggesting their potential to serve as biomarkers. This study aimed to evaluate their diagnostic efficacy for type 2 diabetes mellitus-associated mild cognitive impairment (T2DM-MCI) and establish a corresponding diagnostic model using machine learning. T2DM-MCI-associated differentially expressed genes were identified from the hippocampus using the Gene Expression Omnibus and predictive databases. The study involved 529 T2DM patients in two phases (training set = 408, test set = 121). Levels of plasma CDR1as, α-Syn, Aβ

Indexed as

alpha-SynucleinCognitive DysfunctionDiabetes Mellitus, Type 2Nerve Tissue ProteinsAgedBiomarkersFemaleHumansMachine LearningMaleMiddle AgedRNA, Long Noncodingalpha-SynucleinBiomarkerslong non-coding RNA CDR1AS, humanNerve Tissue ProteinsRNA, Long NoncodingBiomarkersCDR1asMild cognitive impairmentType 2 diabetes mellitusα-Syn

Identifiers

PMID42036521

DOI10.1007/s12035-026-05883-z

What OpenQuestion holds

Textmetadata

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 OpenQuestion graph.