Get help now — free helplines

You can call any of these for free. You do not need a diagnosis, an appointment, or a crisis to call — questions and plain exhaustion are reasons enough.

  • Alzheimer's Association 24/7 Helpline 800-272-3900 24 hours a day, 365 days a year Free, confidential support and information for people with dementia, caregivers, families and the public. Master's-level clinicians. Also Spanish.
  • 988 Suicide & Crisis Lifeline 988 24/7 Call or text 988, or chat at 988lifeline.org. For anyone in emotional distress or a mental-health crisis, including caregivers.
  • Alzheimer's Foundation of America (AFA) Helpline 866-232-8484 9:00 am - 9:00 pm ET, seven days a week Licensed social workers providing support, info and referrals. Also text message and web chat. Text: 646-586-5283

In a medical emergency, call 911. More numbers, and what each line does, on the help page.

This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 45 out of 100. Digital health tools

Topic: Amyloid, tau and blood-test diagnosis

Introduction CSF levels of established Alzheimer's disease (AD) biomarkers remain stable despite disease progression, and non-amyloid non-tau biomarkers have the potential of informing disease stage and progression. We previously identified complement 3 (C3) to be decreased in AD dementia, but this change was not found by others in earlier AD stages. We hypothesized that levels of C3 and associated factor H (FH) can potentially distinguish between mild cognitive impairment (MCI) and dementia stages of AD, but we also found their levels to be influenced by age and disease status. Results We developed a biochemical/bioinformatics pipeline to optimize the handling of complex interactions between variables in validating biochemical markers of disease. We used data from the Alzheimer's Disease Neuro-imaging Initiative (ADNI, n = 230) to build parallel machine learning models, and objectively tested the models in a test cohort (n = 73) of MCI and mild AD patients independently recruited from Emory University. Whereas models incorporating age, gender, APOE ε4 status, and CSF amyloid and tau levels failed to reliably distinguish between MCI and mild AD in ADNI, introduction of CSF C3 and FH levels reproducibly improved the distinction between the two AD stages in ADNI (p Conclusions We propose that CSF C3 and FH alterations may reflect stage-associated biomarker changes in AD, and can complement clinician diagnosis in diagnosing and staging AD using the publically available ADNI database as reference.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Hu, W. T., Watts, K. D., Tailor, P., Nguyen, T. P., Howell, J. C., Lee, R. C., et al. (2016). CSF complement 3 and factor H are staging biomarkers in Alzheimer's disease. Acta neuropathologica communications. https://doi.org/10.1186/s40478-016-0277-8

Vancouver

Hu WT, Watts KD, Tailor P, Nguyen TP, Howell JC, Lee RC, et al. CSF complement 3 and factor H are staging biomarkers in Alzheimer's disease. Acta neuropathologica communications. 2016. doi:10.1186/s40478-016-0277-8. PMID: 26887322.

BibTeX

@article{hu2016-26887322,
  author  = {Hu, W. T. and Watts, K. D. and Tailor, P. and Nguyen, T. P. and Howell, J. C. and Lee, R. C. and Seyfried, N. T. and Gearing, M. and others},
  title   = {{CSF complement 3 and factor H are staging biomarkers in Alzheimer's disease}},
  journal = {Acta neuropathologica communications},
  year    = {2016},
  doi     = {10.1186/s40478-016-0277-8},
  pmid    = {26887322},
  url     = {https://doi.org/10.1186/s40478-016-0277-8}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

Key findings

Why it matters

This study used data from the Alzheimer's Disease Neuroimaging Initiative and an independent test cohort to build machine learning models incorporating CSF complement 3 and factor H levels. Introduction of these levels reproducibly improved the distinction between mild cognitive impairment and mild Alzheimer's disease stages, suggesting they may reflect stage-associated biomarker changes.

Study details

How this study scored 45/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 1 of 4; Study design 0 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 4 of 7; Citations per year 2 of 5; Impact for its field and year 2 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 45 of 100.45 of 100 points earned55 not earned

Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Acta neuropathologica communications)
Journal's citation record 1 / 4 Acta Neuropathologica Communications: journal h-index 129 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2016 — within 20 year(s) of the newest study here
Sample size 2 / 4 230 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 4 / 7 Cited 45 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 3.8 citations a year over 12 year(s) since 2016
Impact for its field and year 2 / 6 Cited 2.9× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 1 / 4 Cited 13 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Eva K. Lee: h-index 36 (OpenAlex, whole career)
Institution's track record 1 / 3 Emory University: institution h-index 1,360 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 26887322)
Free to read 2 / 2 Free to read
Total 45 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Studies this one cites

Referenced by this study and also in the alzhub library, so you can read them here. Showing 12 of 13.

Later studies that cite this one

1 study in the alzhub library lists this one in its references.

Related studies in Digital health tools

Also tagged “cerebrospinal”

821 studies in the library carry the topic tag “cerebrospinal”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 821 tagged studies.

Similar studies

More on Digital health tools

See all studies in Digital health tools →