Evidence map›Paper›PMID 42473483›Full record

ArticleCureus2026

Differential Proteomic Response to Smoking Exposure Underlies Reduced Parkinson's Disease Risk in Women.

Steven Lehrer, Peter Rheinstein

Abstract read
In one paragraph

Article in Cureus, 2026. 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

2 authors.

Steven LehrerRadiation Oncology, Icahn School of Medicine at Mount Sinai, New York, USA.
Peter RheinsteinFamily Medicine, Severn Health Solutions, Severna Park, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The inverse association between cigarette smoking and Parkinson's disease (PD) risk, often termed the "smoker's paradox," remains one of the most reproducible observations in neuroepidemiology. Although multiple biological mechanisms have been proposed, the molecular correlates of smoking exposure in large human populations remain incompletely characterized. Methods We analyzed proteomic data from the UK Biobank Olink Explore 3072 platform to evaluate associations between cumulative smoking exposure and circulating proteins implicated in proteostasis, cellular stress responses, and neuronal biology. Sex-stratified linear regression models were performed with adjustment for age at recruitment. Results Among female participants, cumulative smoking exposure was associated with significantly higher circulating HSPA1A (HSP70) levels (p = 1.82 × 10⁻⁶), while BAG3 demonstrated a nominal positive association (p = 0.02). Independent analyses demonstrated that both smoking exposure (p = 0.0125) and circulating estradiol concentrations (p < 2 × 10⁻¹⁶) were associated with HSPA1A expression. No statistically significant smoking-by-estradiol interaction was observed (p = 0.3465). Additional associations involving BAG3 and CASP3 did not survive strict multiple-testing correction and should be considered exploratory. No significant associations were observed between smoking exposure and circulating dopa decarboxylase (DDC) levels. Conclusions Smoking exposure was associated with sex-specific differences in circulating proteomic biomarkers related to cellular stress-response and proteostasis pathways. These findings identify population-level proteomic signatures associated with cumulative smoking exposure and generate hypotheses for future mechanistic and longitudinal investigations. Because the study is observational and relies on peripheral blood biomarkers, the results should not be interpreted as evidence of causal neuroprotective mechanisms.

Indexed as

bag3estrogen-dependent neuroprotectionhspa1anicotinic acetylcholine receptorsparkinson's disease

Identifiers

PMID42473483
PMCPMC13380932

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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.