Evidence map›Paper›PMID 41998114›Full record

ReviewInflammation research : official journal of the European Histamine Research Society ... [et al.]2026

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

Cole Myers, Cheyenna M Espinoza, Aaron Clarke, Elizabeth R Lusczek, Feng Xie, Brian T Steffen, Zeribe C Nwosu, Guru Trikudanathan, Geetha Saarunya, Melena Bellin and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Review in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 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

11 authors.

Cole MyersDepartment of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Cheyenna M EspinozaDepartment of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Aaron ClarkeDepartment of Biomedical Sciences, University of Minnesota, Duluth, MN, USA.
Elizabeth R LusczekDepartment of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Feng XieDepartment of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Brian T SteffenDepartment of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.
Zeribe C NwosuDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.
Guru TrikudanathanDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Geetha Saarunya *Department of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA. clar2817@umn.edu.
Melena Bellin *Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
Gregory Beilman *Department of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
CTSA Postdoctoral T32 at University of MinnesotaT32TR004376 · NCATS · UNIVERSITY OF MINNESOTA · PI Jayne Allyn Fulkerson · 2024 to 2026
$1.1M
NCATS NIH HHS T32 TR004376NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

backgroundChronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare burden. Pain mechanisms in CP are heterogeneous and incompletely integrated into clinical decision-making. This narrative review synthesizes data from human CP cohorts and complementary experimental models to summarize inflammatory, neuropathic, and metabolic drivers of pancreatitis-associated pain and to evaluate how integrated multi-omics approaches may enable mechanism-based precision management. Current treatment relies on lifestyle modification, anatomy-guided interventions, stepwise pharmacologic escalation, and surgery for refractory cases. Emerging ion-channel-targeted therapies show promise, but inconsistent patient selection and limited biomarker guidance constrain therapeutic precision.

findingsCP-associated pain arises from convergent inflammatory, neuroimmune, neuropathic, and metabolic pathways that promote peripheral and central sensitization with sustained neuroplastic remodeling. Advances in clinical phenotyping have improved characterization of pain subtypes; however, integration of biologic data remains limited. Genetic association studies increasingly implicate pathways linked to severe or persistent pain phenotypes. Omics investigations have identified candidate genomic, proteomic, and metabolomic signals that may support biologically informed stratification and treatment prediction. Nevertheless, most studies are cross-sectional, modality-specific, and derived from heterogeneous cohorts with inconsistent endpoints and limited external validation.

conclusionsIntegration of rigorous clinical phenotyping with longitudinal, multi-omics modeling provides a framework for developing testable, mechanism-based biomarkers to guide personalized analgesic and procedural strategies while supporting opioid-sparing care. Priorities include harmonization of multicenter datasets, standardized and longitudinal pain outcome measurement, expanded paired biospecimen collection, and external validation of predictive models. Such efforts may enable biologically grounded pain stratification and facilitate translation of biomarker-guided decision tools into routine clinical practice.

Indexed as

Chronic PainPancreatitis, ChronicPrecision MedicineAnimalsHumansMetabolomicsMultiomicsProteomicsBiomarkersCPMachine learningMetabolomicsMulti-omicsPain phenotypesPrecision analgesiaProteomics

Identifiers

PMID41998114
PMCPMC13090293

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.