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Special Issues
Personalized Pain Medicine: Biomarkers and New Therapeutic Frontiers
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Personalized Pain Medicine: Biomarkers and New Therapeutic Frontiers

A Special Issue of Journal of Personalized Medicine (ISSN 2075-4426) belonging to the section "Personalized Therapy and Drug Delivery".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1151

Editor

Dr. Gustavo Fabregat-Cid

E-Mail Website
Guest Editor
1. Multidisciplinary Pain Management Department, General University Hospital Consortium of Valencia, 46014 Valencia, Spain
2. Pain Management Department, Ascires Hospital, 46004 Valencia, Spain
3. Clinical Anesthesiology, University of Valencia, 46010 Valencia, Spain
Interests: pain medicine; biomarkers; neuromodulation; ultrasound; interventional pain management; spinal cord stimulation

Special Issue Information

Dear Colleagues,

Chronic pain remains one of the most complex and debilitating conditions in medicine, affecting millions worldwide. Despite advances in pharmacological and interventional therapies, the heterogeneity of pain disorders poses a significant challenge for effective treatment. In recent years, the emergence of personalized pain medicine—driven by biomarkers, omics technologies, and artificial intelligence—has opened new avenues for precision diagnosis and tailored interventions.

This Special Issue aims at exploring the role of biomarkers in pain medicine and their potential to transform patient management. By integrating molecular, neurophysiological, and imaging biomarkers, clinicians and researchers can move beyond the traditional trial-and-error approach, improving both efficacy and safety in pain treatment.

We welcome contributions on cutting-edge research covering topics such as novel biomarkers for pain phenotyping, genetic and epigenetic insights, neuroimaging advances, and AI-driven predictive models. Additionally, studies on the clinical application of biomarkers in personalized interventions, pharmacogenomics, and non-invasive monitoring are of particular interest.

We invite original research articles, systematic reviews, and translational studies that bridge the gap between basic science and clinical practice, helping to shape the future of precision pain medicine.

Dr. Gustavo Fabregat-Cid
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • pain medicine
  • biomarkers
  • omics
  • neuroimaging
  • pain phenotyping

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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15 pages, 273 KB  
Perspective
From Association to Prediction: Translational Barriers in Pain Biomarker Research
by Gustavo Fabregat-Cid, Natalia Escrivá-Matoses and José De Andrés
J. Pers. Med. 2026, 16(7), 374; https://doi.org/10.3390/jpm16070374 - 13 Jul 2026
Viewed by 549
Abstract
Pain biomarkers have been proposed as potential tools to improve patient stratification, treatment selection, and individualized therapeutic strategies in chronic pain. However, despite an increasing volume of research across neuroimaging, electrophysiological, and molecular domains, their translation into clinical practice remains limited. A central [...] Read more.
Pain biomarkers have been proposed as potential tools to improve patient stratification, treatment selection, and individualized therapeutic strategies in chronic pain. However, despite an increasing volume of research across neuroimaging, electrophysiological, and molecular domains, their translation into clinical practice remains limited. A central challenge lies in the conceptual and methodological misalignment between biomarker discovery and clinical applicability. Many studies labelled as “predictive” rely on measurements obtained during or after intervention, small sample sizes, or lack of external validation, limiting their ability to inform real-world decision-making. In addition, the distinction between predictive, monitoring, and mechanistic biomarkers is often blurred, further complicating interpretation and implementation. This Perspective examines why many candidate pain biomarkers, although biologically informative, have not yet become clinically actionable tools for treatment selection. We distinguish between associative, mechanistic, monitoring, preventive, and truly predictive biomarkers using clinically relevant examples from pain research, and we outline the methodological requirements needed to translate biomarker discovery into precision pain medicine. We argue that the field requires a more rigorous framework for defining and validating predictive biomarkers, encompassing appropriate timing of measurement, robust study design, external validation, and patient-relevant endpoints. Without this framework, pain biomarker research risks continuing to generate biologically informative but clinically non-actionable findings that do not advance individualized therapeutic decision-making. Full article
(This article belongs to the Special Issue Personalized Pain Medicine: Biomarkers and New Therapeutic Frontiers)
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