Evidence map›Paper›PMID 27476881›Full record

ReviewJournal of biomedical research2016

Autoantibodies in Alzheimer's disease: potential biomarkers, pathogenic roles, and therapeutic implications.

Jianming Wu, Ling Li

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biomedical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The role of autoantibodies in Alzheimer's disease: Pathogenetic connections or epiphenomena?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. A Novel Serum-Based Diagnosis of Alzheimer's Disease Using an Advanced Phage-Based Biochip.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  18. Review
  19. Review
  20. Review
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

2 authors at 1 institution in 1 country.

Jianming WuDepartment of Veterinary and Biomedical Sciences, University of Minnesota, Saint Paul, MN 55108, USA; jmwu@umn.edu.
Ling LiDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN 55455, USA; lil@umn.edu.
University of Minnesota · US

Funding

Human immunoglobulin Fc receptor functions in sarcoidosisR21HL117652 · NHLBI · UNIVERSITY OF MINNESOTA · PI WU, JIANMING · 2013 to 2014
$226k
NHLBI NIH HHS R21 HL117652
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a prevalent and debilitating neurodegenerative disorder in the elderly. The etiology of AD has not been fully defined and currently there is no cure for this devastating disease. Compelling evidence suggests that the immune system plays a critical role in the pathophysiology of AD. Autoantibodies against a variety of molecules have been associated with AD. The roles of these autoantibodies in AD, however, are not well understood. This review attempts to summarize recent findings on these autoantibodies and explore their potential as diagnostic/prognostic biomarkers for AD, their roles in the pathogenesis of AD, and their implications in the development of effective immunotherapies for AD.

Indexed as

Alzheimer's diseaseautoantibodyautoimmunebiomarkerimmunotherapypathogenesis

Identifiers

PMID27476881
PMCPMC5044708
OpenAlexW2501502116

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.