Evidence map›Paper›PMID 40222813›Full record

Observational studyEuropean journal of pain (London, England)2025

Role of Serum Brain-Derived Neurotrophic Factor as a Biomarker of Chronic Pain in Older Adults.

R Ortolá, M Sotos-Prieto, A Carballo-Casla, S Cabello-Plan, Aida Koni, V Mustieles, L M García-Segura, A R Artalejo, F Rodríguez-Artalejo, E García-Esquinas

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in European journal of pain (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

R OrtoláDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
M Sotos-PrietoDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
A Carballo-CaslaCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
S Cabello-PlanUniversidad Nacional de Educación a Distancia (UNED), Madrid, Spain.
Aida KoniDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
V MustielesCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
L M García-SeguraInstituto Cajal, CSIC, Madrid, Spain.
A R ArtalejoDepartment of Pharmacology and Toxicology, Veterinary Faculty, Universidad Complutense de Madrid, Spain.
F Rodríguez-ArtalejoDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
E García-EsquinasCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0002-8688-5174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum brain-derived neurotrophic factor (BDNF) has emerged as a promising biomarker for chronic pain (CP) research and treatment. Yet, most human studies have been limited by small sample sizes, inadequate control of confounders and a lack of focus on sex and mental health differences.

methodsThis study included data from 1932 community-dwelling individuals aged ≥ 65 years, randomly sampled from the Spanish general population. Serum BDNF was quantified by ELISA. CP characteristics were assessed using the European Chronic Pain Survey and classified according to electronic medical records (ICPC-2 codes). Linear regression models-adjusted for sociodemographic, lifestyle and clinical factors-and stratified analyses by sex and depression status (defined by Geriatric Depression Scale score, recent physician diagnosis or antidepressant use) were performed.

resultsAmong 962 men and 970 women, mean BDNF concentrations were 18.55 (5.66) ng/mL and 19.39 (5.77) ng/mL, respectively. Most participants reported pain in multiple locations (median 3 sites, interquartile range: 2-4). In 511 participants with CP, probable musculoskeletal pain was predominant (n = 446), followed by nociplastic (n = 71), neuropathic (n = 54), visceral (n = 51) and vascular pain (n = 22). Notably, in non-depressed participants (n = 1639), women with severe or interfering pain showed lower BDNF concentrations [β coefficient (95% confidence interval) = -2.62 ng/mL (-5.03, -0.22) and -3.09 ng/mL (-4.71, -1.47), respectively] compared to those without CP-a pattern not seen in men. Conversely, among men with depression (n = 293), both severe [-5.12 g/mL (-9.26, -0.99)] and interfering [-4.95 g/mL (-8.29, -1.61)] pain were linked to lower BDNF, a trend absent in depressed women. Similar associations were observed in analyses of musculoskeletal and nociplastic pain subtypes.

conclusionsWhile serum BDNF is a promising biomarker for CP, its reliability for gauging pain severity depends on patient sex and depression status. These factors must be considered to enhance the accuracy and clinical relevance of BDNF in CP evaluation. SIGNIFICANCE: Our study is the first to reveal that the relationship between serum BDNF and chronic pain is distinctly modulated by sex and depression. This novel insight challenges one-size-fits-all biomarker approaches and paves the way for more personalised, precision-based strategies in chronic pain diagnosis and management.

Indexed as

Brain-Derived Neurotrophic FactorChronic PainAgedAged, 80 and overAging in PlaceBiomarkersCohort StudiesComorbidityDepressionFemaleHumansMalePain MeasurementRisk FactorsSeverity of Illness IndexSpainBDNF protein, humanBiomarkersBrain-Derived Neurotrophic Factor

Identifiers

PMID40222813
PMCPMC11994381

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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.