Evidence map›Paper›PMID 39924667›Full record

ArticleNeurocase2025

Reduced levels of angiogenesis biomarkers predict increased symptom severity in Chinese Americans with Alzheimer's disease with demographic-specific effect.

Taylor P Johnson, Elena Tsoy, Jeffrey Shen, Will Rivera, Kevin Lieu, Cande Salazar, Marian Tse, Yi Li, Lauren Goldberger, Brendan M Soo and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurocase, 2025. 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

17 authors.

Taylor P JohnsonMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-5959-5182
Elena TsoyMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8786-1791
Jeffrey ShenMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Will RiveraMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Kevin LieuMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Cande SalazarMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Marian TseMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Yi LiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
Lauren GoldbergerMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Brendan M SooMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Joel KramerMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Howard J RosenMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Bruce L MillerMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0875-2103
Daniel W SirkisMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Luke W BonhamMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2533-1266
Jennifer S YokoyamaMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7274-2634
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Project 2: Biomarker Analysis, Non-Genetic Risk Factors, and Their Genetic InteractionsU19AG079774 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Boon Lead Tee · 2023 to 2026
$39.4M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
Tau Metabolism in FTD: From Gene Mutations to Molecular Chaperones and Lysosomal ProteasesU54NS123985 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARCH, CELESTE MARIE · 2021 to 2025
$9.0M
Augmenting Nurse Support and EHR Integration for the Pragmatic Trial of the UCSF-BHAU01NS128913 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Katherine Laurel Possin · 2022 to 2026
$8.2M
US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative ResearchR01AG057234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Claudia Duran-Aniotz, Agustin M. Ibanez · 2019 to 2026
$6.1M
Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
Reimagining Precision Medicine Approaches to AD DiagnosisR35AG072362 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL, RABINOVICI, GIL DAN · 2021 to 2025
$4.8M
Elucidating clinical heterogeneity in early-onset AD via genomics, transcriptomics, and neuroimagingR01AG062588 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YOKOYAMA, JENNIFER S · 2019 to 2023
$4.0M
Social determinants of racial and ethnic disparities in ADRD diagnostic pathwaysR21AG080410 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSOY, ELENA · 2023 to 2024
$444k
NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG057234NIA NIH HHS R01 AG062588NIA NIH HHS R21 AG080410NIA NIH HHS R35 AG072362NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG079774NIBIB NIH HHS T32 EB001631NIDA NIH HHS 75N95022C00031NINDS NIH HHS U01 NS128913NINDS NIH HHS U54 NS123985
6 · The paper itself

Abstract

Alzheimer's disease (AD) symptomatology, while classically studied through the lens of amyloid-β and tau burden, is likely also influenced by multiple-interacting co-pathologies like vascular disease and dysmetabolism. These co-pathologies, especially vascular disease, occur disparately in the Chinese-American population and are often treatable via therapeutics and lifestyle modifications. Given this, we explored whether plasma biomarkers, including an array of vascular-related proteins, associate with cognition in a cohort of 34 Chinese Americans clinically diagnosed as cognitively normal, with mild cognitive impairment, or with AD. We found that a composite score of plasma angiogenesis biomarkers (MMP-1, bFGF, VEGF, and VEGF-C) were positively associated with total Mini Mental State Examination scores (

Indexed as

Alzheimer DiseaseAngiogenesisAsianCognitive DysfunctionAgedAged, 80 and overBiomarkersChinaFemaleHumansMaleMiddle AgedSeverity of Illness IndexWhiteBiomarkersAlzheimer’s diseaseangiogenesisChinese Americanplasma biomarkersvascular disease

Identifiers

PMID39924667
PMCPMC11919552

What OpenQuestion holds

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Registered trials

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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.