Evidence map›Paper›PMID 41501910›Full record

ArticleJournal of translational medicine2026

PET imaging utility of a novel Aβ-tracking PET radiotracer, [

Bhuvanachandra Bhoopal, Brett M Frye, Mack Miller, Avinash Bansode, Krishna K Gollapelli, Richard A Barcus, Samuel N Lockhart, Naresh Damuka, Courtney L Sutphen, Ryan W Fitzgerald and 8 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Bhuvanachandra BhoopalDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Brett M FryeDepartment of Pathology, Section on Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Mack MillerDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Avinash BansodeDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Krishna K GollapelliDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Richard A BarcusDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Samuel N LockhartDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Naresh DamukaDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Courtney L SutphenDepartment of Pathology, Section on Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Ryan W FitzgeraldDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Jeongchul KimDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Mark G BaxterDepartment of Pathology, Section on Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Matthew J JorgensenDepartment of Pathology, Section on Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Suzanne CraftDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Thomas C RegisterDepartment of Pathology, Section on Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Christopher T WhitlowDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
Carol A ShivelyDepartment of Pathology, Section on Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Kiran K Solingapuram SaiDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA. Kiran.solingapuramsai@wfusm.edu.ORCID 0000-0002-6442-5169

Funding

Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Vervet Research Colony as a Biomedical ResourceP40OD010965 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Matthew Jorgensen · 2012 to 2026
$14.6M
Wake Forest Alzheimer's Disease Core CenterP30AG049638 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WILLIAMSON, JEFF DOUGLAS · 2016 to 2020
$12.2M
CTSA UM1 Program at Wake ForestUM1TR004929 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamy D Ard, KRISTIE L FOLEY · 2024 to 2026
$11.9M
Development of an Innovative Vervet (Chlorocebus aethiops sabaeus) Model of Early Alzheimer's-like Neuropathology and SymptomatologyR24AG073199 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CRAFT, SUZANNE, SHIVELY, CAROL A. · 2021 to 2024
$5.6M
NCATS NIH HHS UM1 TR004929NIA NIH HHS P30 AG049638NIA NIH HHS P30-AG049638NIA NIH HHS P30 AG072947NIA NIH HHS P40-OD010965NIA NIH HHS R24 AG073199NIA NIH HHS R24-AG073199NIH HHS P40 OD010965
6 · The paper itself

Abstract

backgroundAlzheimer’s disease is characterized by the deposition of amyloid-beta (Aβ) plaques, necessitating early detection and reliable biomarkers for effective intervention. Non-human primates, particularly aged vervet monkeys, offer valuable models for studying age-related Aβ pathology due to their close phylogenetic relationship to humans and similar neuropathological features.

methodsThis study assessed the utility of [18F]FC119S, a novel Aβ-targeting PET radiotracer, in aged vervet monkeys. The radiochemistry of [18F]FC119S was optimized and automated to ensure high radiochemical purity and molar activity. PET/MRI imaging was performed to evaluate tracer uptake, distribution, and washout kinetics. Correlations between [18F]FC119S uptake and cerebrospinal fluid (CSF) and plasma biomarkers—including Aβ42/40 ratio, pTau181, neurofilament light chain (NfL), and pTau181/Aβ42 ratio—were analyzed. Autoradiography was conducted to validate regional tracer binding in brain tissues.

results[18F]FC119S demonstrated high brain uptake, rapid washout, and widespread cortical distribution in vervet monkeys, mirroring patterns observed in human studies. Tracer uptake showed negative associations with CSF Aβ42/40 ratio in Aβ-affected regions, and significant positive correlations with CSF pTau181 and CSF pTau181/Aβ42 ratio in the temporal lobe. Additionally, significant positive correlations were observed between [18F]FC119S uptake and CSF NfL in the anterior cingulate gyrus, parietal, and occipital lobes. Autoradiography confirmed elevated tracer binding in specific brain regions of older vervets with low CSF Aβ42 compared to younger counterparts.

conclusionsThese findings validate [18F]FC119S as a promising PET radiotracer for tracking Aβ deposition in aged vervet monkeys. Its imaging characteristics and biomarker correlations support its translational potential for Alzheimer’s disease research and early diagnostic applications.

Indexed as

AgingAmyloid beta-PeptidesFluorine RadioisotopesPositron-Emission TomographyAnimalsBiomarkersBrainChlorocebus aethiopsFemaleMagnetic Resonance ImagingMaleRadioactive TracersAmyloid beta-PeptidesBiomarkersFluorine RadioisotopesRadioactive TracersAged vervetsBiomarkersNonhuman primatesPET imagingRadiotracer

Identifiers

PMID41501910
PMCPMC12784507

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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.