Evidence map›Paper›PMID 41517809›Full record

ReviewJournal of clinical neurology (Seoul, Korea)2026

Preclinical Catecholaminergic Biomarkers of Central Lewy Body Diseases.

David S Goldstein

Abstract readReview
In one paragraph

Review in Journal of clinical neurology (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Body-First Trajectory: Mapping the Hidden Prologue of Lewy Body Diseases.Journal of clinical neurology (Seoul, Korea) · 2026
    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

1 author.

David S GoldsteinThe Autonomic and Catecholamine Healthspan Institute, LLC., Potomac, MD, USA. goldsteind@ninds.nih.gov.ORCID https://orcid.org/0000-0002-5709-9940

Funding

NIH HHS
6 · The paper itself

Abstract

In the central Lewy body diseases (LBDs) Parkinson's disease and dementia with Lewy bodies (DLB), by the time parkinsonism or cognitive dysfunction manifests, substantial central neurodegeneration has already occurred. Biomarkers of preclinical disease are needed to test strategies that might delay the onset of symptomatic central LBDs and extend healthspan. The prospective, longitudinal PDRisk study asked whether cardiac sympathetic neuroimaging, cerebrospinal fluid catecholamine metabolites, cardiovascular physiological biomarkers, and alpha-synuclein seeding activity predict central LBDs in at-risk individuals. This review highlights and builds on several findings from this unique study. Some concepts induced from the present and previous data are: 1) Central LBDs can begin outside the brain ("body-first"), with early involvement of cardiac sympathetic nerves as evidenced by ¹⁸F-dopamine positron emission tomography (PET) and normal initial putamen dopaminergic innervation by ¹⁸F-DOPA PET. 2) DLB can follow a similar body-first progression pattern. 3) Body-first LBDs entail tri-phasic temporal sequences, corresponding conceptually to homeostasis, dyshomeostasis, and symptomatic disease, noted in the heart years before the striatum. 4) LBDs feature a vesicular storage defect in extant catecholaminergic terminals, exemplifying the "sick-but-not-dead" phenomenon. 5) There are multiple other functional abnormalities in residual catecholaminergic terminals in LBDs. 6) Based on computational modeling, disease-modifying treatments begun in the dyshomeostatic phase might delay the onset of symptomatic LBDs, compressing morbidity.

Indexed as

biomarkercatecholaminehealthspanLewysympathetic

Identifiers

PMID41517809
PMCPMC12802056

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.