Evidence map›Paper›PMID 42211895›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2026

Peripheral immune cells and glycation indices as potential diagnostic biomarkers in amyotrophic lateral sclerosis.

Xue Yang, Jing Yang, Rui Li, Hui Dong, Yaling Liu

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xue YangDepartment of Neurology, Hebei Medical University, Shijiazhuang, Hebei, China.
Jing YangDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Rui LiDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Hui DongDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yaling LiuDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of amyotrophic lateral sclerosis (ALS) mainly relies on clinical symptoms and the exclusion of other diseases, with a lack of specific biomarkers, leading to delayed diagnosis and a high rate of misdiagnosis. This study aims to explore the utility of peripheral immune cells and glycosylation indices as potential diagnostic biomarkers for ALS to enhance the accuracy and efficiency of early ALS diagnosis. This retrospective study included 54 ALS patients diagnosed in our hospital from June 2023 to October 2024, along with 54 healthy controls. Blood samples and laboratory data, including levels of peripheral immune cells and glycosylation indices, were collected from both groups. Through logistic regression, random forest models, receiver operating characteristic (ROC) curve analysis, and SHAP interpretability analysis, the predictive abilities and clinical significance of each candidate indicator were screened and evaluated. Notable disparities were detected in age, leukocyte count, monocyte levels, glycated haemoglobin A1c (HbA1c), and haemoglobin glycation index (HGI) between the control and ALS groups (all

Indexed as

Amyotrophic Lateral SclerosisBiomarkersAgedFemaleGlycated HemoglobinGlycosylationHumansLeukocytesMaleMiddle AgedMonocytesRetrospective StudiesROC CurveBiomarkersGlycated Hemoglobinamyotrophic lateral sclerosisbiomarkersglycated haemoglobin A1cglycosylation indexleukocyte

Identifiers

PMID42211895
PMCPMC13212250

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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.