Evidence map›Paper›PMID 41622474›Full record

ArticleNeural regeneration research2026

Blood-based biomarkers and early diagnosis of Alzheimer's disease.

Zhikang Cui, Guixia Li, Shuyong Wei, Qian Cheng, Qian Yu, Shuai Zong, Pengfei Zhang, Hang Chen, Shuyi Yu, Shuang Wu and 2 more

Abstract read
In one paragraph

Article in Neural regeneration research, 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

12 authors.

Zhikang CuiDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Guixia LiDepartment of Laboratory Medicine, Heze Municipal Hospital, Heze, Shandong Province, China.
Shuyong WeiXiajin County People's Hospital, Dezhou, Shandong Province, China.
Qian ChengDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Qian YuDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Shuai ZongDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Pengfei ZhangDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Hang ChenDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Shuyi YuDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Shuang WuDepartment of Laboratory Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.
Ming LiDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.ORCID 0009-0002-9307-7009
Zhiming LuDepartment of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.ORCID 0000-0003-1228-5739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is a common neurodegenerative disease characterized by progressive memory loss, cognitive decline, and behavioral changes. Blood-based biomarkers have recently gained significant attention due to their accessibility and cost-effectiveness. This review highlights the latest progress in multiple key areas of blood-based biomarkers for Alzheimer's disease. For early diagnosis, blood-based biomarkers such as amyloid-β and phosphorylated tau can identify Alzheimer's disease even before clinical symptoms emerge. Dynamic changes in blood-based biomarkers, including p-tau217 and neurofilament light chain, reflect disease progression and correlate with cognitive decline, enabling continuous monitoring of Alzheimer's disease progression. Additionally, blood-based biomarkers such as p-tau181 and glial fibrillary acidic protein aid in differential diagnosis by distinguishing Alzheimer's disease from other dementias such as frontotemporal dementia. Blood-based biomarkers related to nerve repair have opened up new avenues for tracking nerve regeneration and therapeutic response, especially brain-derived neurotrophic factor. Furthermore, advanced detection technologies such as single-molecule array and immunoprecipitation-mass spectrometry have significantly improved the sensitivity and specificity of blood-based biomarkers, facilitating their clinical translation. In summary, blood-based biomarkers hold strong potential to improve early diagnosis, monitor progression, differential diagnosis, and evaluate therapies in Alzheimer's disease. This review provides a comprehensive and updated evaluation of the translational potential of blood-based biomarkers, emphasizing their practical utility in clinical settings and offering insights into future directions for large-scale application. This review emphasizes the need to prioritize the allocation of scientific resources, expedite the transition of blood-based biomarkers to clinical implementation, and ultimately achieve precise treatment of Alzheimer's disease using these biomarkers.

Indexed as

Alzheimer’s diseaseamyloid plaquesbiomarkersdementiaearly diagnosisnerve regenerationneurodegenerative diseasesneurofibrillary tanglesneuroinflammationneuropathology

Identifiers

PMID41622474
PMCPMC13568666

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.