Evidence map›Paper›PMID 34608709›Full record

ArticleEuropean journal of pain (London, England)2022

Metabolomic and proteomic characterization of sng and pain phenotypes in fibromyalgia.

Wei-Hsiang Hsu, Der-Sheng Han, Wei-Chi Ku, Yen-Ming Chao, Chih-Cheng Chen, Yun-Lian Lin

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in European journal of pain (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06161038 (Precision Medicine for Nociception, Sngception and Proprioception.), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% of its field
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.

NCT06161038 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Precision Medicine for Nociception, Sngception and Proprioception.

TypeinterventionalSponsorNational Taiwan University HospitalRan2023 to 2028Enrolled160ConditionsRehabilitation, Pain, Shoulder, Pain, Chronic, Idiopathic ScoliosisArmsLASER, Ultrasound, Prolotherapy
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Wei-Hsiang HsuDepartment of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan.ORCID 0000-0001-5468-5859
Der-Sheng HanDepartment of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.
Wei-Chi KuSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan.
Yen-Ming ChaoDepartment of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan.
Chih-Cheng ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Yun-Lian LinDepartment of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung, Taiwan.
China Medical University · TWFu Jen Catholic University · TWInstitute of Biomedical Sciences, Academia Sinica · TWNational Taiwan University · TWNational Taiwan University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibromyalgia (FM) is characterized by chronic widespread pain. Its pathophysiological mechanisms remain poorly understood, and effective diagnosis and treatments are lacking. This study aimed to identify significantly changed biosignatures in FM and propose a novel classification for FM based on pain and soreness (sng) symptoms.

methodsUrine and serum samples from 30 FM patients and 25 controls underwent metabolomic and proteomic profiling.

resultsCompared with controls, FM patients showed significant differential expression of three metabolites in urine and five metabolites and eight proteins in serum. Of them, DETP, 4-guanidinobutanoic acid, SM(d18:1/18:0), PC(20:1(11Z)/18:0), S100A7, SERPINB3, galectin-7 and LYVE1 were first reported as potential biomarkers for FM. Furthermore, lactate, 2-methylmaleate and cotinine in urine and lactate, SM(d18:1/25:1), SM(d18:1/26:1) and prostaglandin D2 (PGD2) and PCYOX1, ITIH4, PFN1, LRG1, C8G, C8A, CP, CDH5 and DBH in serum could differentiate pain- (PG) and sng-dominant groups (SG). Lactate, 2-methylmaleate, cotinine, PCYOX1, ITIH4, PFN1 and DBH have a higher level in SG. SM(d18:1/25:1), SM(d18:1/26:1), PGD2, LRG1, C8G, C8A, CP and CDH5 in SG are lower than PG. The omics results indicated disordered free radical scavenging, and lipid and amino acid metabolism networks and resulting NF-κB-dependent cytokine generation in FM. Lactate level was altered simultaneously in urine and serum and significantly higher in sng-dominant patients than others.

conclusionsIn this study, we identified potential biomarkers from FM patients. The selected biomarkers could discriminate sng and pain phenotypes in FM patients. These results could help elucidate the underlying pathological mechanisms for more effective diagnosis and therapy for FM.

Indexed as

Chronic PainFibromyalgiaBiomarkersHumansPhenotypeProfilinsProteomicsBiomarkersPFN1 protein, humanProfilins

Identifiers

PMID34608709
PMCPMC9298249
OpenAlexW3204154606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.