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Haque MM, Kuppusamy P, Melemedjian OK. Disruption of mitochondrial pyruvate oxidation in dorsal root ganglia drives persistent nociceptive sensitization and causes pervasive transcriptomic alterations. Pain 2024; 165:1531-1549. [PMID: 38285538 PMCID: PMC11189764 DOI: 10.1097/j.pain.0000000000003158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/04/2023] [Accepted: 10/18/2023] [Indexed: 01/31/2024]
Abstract
ABSTRACT Metabolism is inextricably linked to every aspect of cellular function. In addition to energy production and biosynthesis, metabolism plays a crucial role in regulating signal transduction and gene expression. Altered metabolic states have been shown to maintain aberrant signaling and transcription, contributing to diseases like cancer, cardiovascular disease, and neurodegeneration. Metabolic gene polymorphisms and defects are also associated with chronic pain conditions, as are increased levels of nerve growth factor (NGF). However, the mechanisms by which NGF may modulate sensory neuron metabolism remain unclear. This study demonstrated that intraplantar NGF injection reprograms sensory neuron metabolism. Nerve growth factor suppressed mitochondrial pyruvate oxidation and enhanced lactate extrusion, requiring 24 hours to increase lactate dehydrogenase A and pyruvate dehydrogenase kinase 1 (PDHK1) expression. Inhibiting these metabolic enzymes reversed NGF-mediated effects. Remarkably, directly disrupting mitochondrial pyruvate oxidation induced severe, persistent allodynia, implicating this metabolic dysfunction in chronic pain. Nanopore long-read sequencing of poly(A) mRNA uncovered extensive transcriptomic changes upon metabolic disruption, including altered gene expression, splicing, and poly(A) tail lengths. By linking metabolic disturbance of dorsal root ganglia to transcriptome reprogramming, this study enhances our understanding of the mechanisms underlying persistent nociceptive sensitization. These findings imply that impaired mitochondrial pyruvate oxidation may drive chronic pain, possibly by impacting transcriptomic regulation. Exploring these metabolite-driven mechanisms further might reveal novel therapeutic targets for intractable pain.
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Affiliation(s)
- Md Mamunul Haque
- Deptartmen of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD, United States
| | - Panjamurthy Kuppusamy
- Deptartmen of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD, United States
| | - Ohannes K. Melemedjian
- Deptartmen of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD, United States
- UM Center to Advance Chronic Pain Research, Baltimore, MD, United States
- UM Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD, United States
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2
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Miclescu A, Rönngren C, Bengtsson M, Gordh T, Hedin A. Increased risk of persistent neuropathic pain after traumatic nerve injury and surgery for carriers of a human leukocyte antigen haplotype. Pain 2024; 165:1404-1412. [PMID: 38147413 PMCID: PMC11090029 DOI: 10.1097/j.pain.0000000000003143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 12/28/2023]
Abstract
ABSTRACT It is not known why some patients develop persistent pain after nerve trauma while others do not. Among multiple risk factors for the development of persistent posttrauma and postsurgical pain, a neuropathic mechanism due to iatrogenic nerve lesion has been proposed as the major cause of these conditions. Because there is some evidence that the human leukocyte antigen (HLA) system plays a role in persistent postsurgical pain, this study aimed to identify the genetic risk factors, specifically among HLA loci, associated with chronic neuropathic pain after traumatic nerve injuries and surgery in the upper extremities. Blood samples were taken to investigate the contribution of HLA alleles (ie, HLA-A, HLA-B, HLA-DRB1, HLA-DQB1, and HLA-DPB1) in a group of patients with persistent neuropathic pain (n = 70) and a group of patients with neuropathy without pain (n = 61). All subjects had intraoperatively verified nerve damage in the upper extremity. They underwent bedside clinical neurological examination to identify the neuropathic pain component according to the present grading system of neuropathic pain. Statistical analyses on the allele and haplotype were conducted using the BIGDAWG package. We found that the HLA haplotype A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02 was associated with an increased risk of developing persistent neuropathic pain in the upper extremity (OR = 9.31 [95% CI 1.28-406.45], P < 0.05). No significant associations were found on an allele level when correcting for multiple testing. Further studies are needed to investigate whether this association is on a haplotypic level or if certain alleles may be causing the association.
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Affiliation(s)
| | | | - Mats Bengtsson
- Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | | | - Anders Hedin
- Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
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3
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Sommer C, Baron R, Sachau J, Papagianni A, Özgül ÖS, Enax-Krumova E. [The EAN-NeuPSIG guideline on the diagnosis of neuropathic pain-a summary]. Schmerz 2024:10.1007/s00482-024-00806-0. [PMID: 38602515 DOI: 10.1007/s00482-024-00806-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2024] [Indexed: 04/12/2024]
Abstract
In this joint guideline of the scientific societies and working groups mentioned in the title, evidence-based recommendations for the use of screening questionnaires and diagnostic tests in patients with neuropathic pain were developed. The systematic literature search and meta-analysis yielded the following results: Of the screening questionnaires, Douleur Neuropathique en 4 Questions (DN4), I‑DN4 (self-administered DN4), and Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) received a strong recommendation, while S‑LANSS (self-administered LANSS) and PainDETECT received weak recommendations for their use in the diagnostic workup of patients with possible neuropathic pain. There was a strong recommendation for the use of skin biopsy and a weak recommendation for quantitative sensory testing and nociceptive evoked potentials. The role of confocal corneal microscopy is still unclear. Functional imaging and peripheral nerve blocks are helpful in elucidating the pathophysiology, but current literature does not support their use in diagnosing neuropathic pain. In selected cases, genetic testing in specialized centers may be considered.
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Affiliation(s)
- Claudia Sommer
- Neurologische Klinik, Universitätsklinikum Würzburg, 97080, Würzburg, Deutschland.
| | - Ralf Baron
- Sektion Neurologische Schmerzforschung und -therapie, Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland
| | - Juliane Sachau
- Sektion Neurologische Schmerzforschung und -therapie, Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland
| | | | - Özüm S Özgül
- Neurologische Klinik und Poliklinik, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil gGmbH, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Elena Enax-Krumova
- Neurologische Klinik und Poliklinik, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil gGmbH, Ruhr-Universität Bochum, Bochum, Deutschland
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4
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Wojick JA, Paranjapye A, Chiu JK, Mahmood M, Oswell C, Kimmey BA, Wooldridge LM, McCall NM, Han A, Ejoh LL, Chehimi SN, Crist RC, Reiner BC, Korb E, Corder G. A nociceptive amygdala-striatal pathway for chronic pain aversion. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579947. [PMID: 38405972 PMCID: PMC10888915 DOI: 10.1101/2024.02.12.579947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
The basolateral amygdala (BLA) is essential for assigning positive or negative valence to sensory stimuli. Noxious stimuli that cause pain are encoded by an ensemble of nociceptive BLA projection neurons (BLAnoci ensemble). However, the role of the BLAnoci ensemble in mediating behavior changes and the molecular signatures and downstream targets distinguishing this ensemble remain poorly understood. Here, we show that the same BLAnoci ensemble neurons are required for both acute and chronic neuropathic pain behavior. Using single nucleus RNA-sequencing, we characterized the effect of acute and chronic pain on the BLA and identified enrichment for genes with known functions in axonal and synaptic organization and pain perception. We thus examined the brain-wide targets of the BLAnoci ensemble and uncovered a previously undescribed nociceptive hotspot of the nucleus accumbens shell (NAcSh) that mirrors the stability and specificity of the BLAnoci ensemble and is recruited in chronic pain. Notably, BLAnoci ensemble axons transmit acute and neuropathic nociceptive information to the NAcSh, highlighting this nociceptive amygdala-striatal circuit as a unique pathway for affective-motivational responses across pain states.
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Affiliation(s)
- Jessica A Wojick
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Alekh Paranjapye
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Juliann K Chiu
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Malaika Mahmood
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Corinna Oswell
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Blake A Kimmey
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa M Wooldridge
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nora M McCall
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alan Han
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lindsay L Ejoh
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Samar Nasser Chehimi
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard C Crist
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin C Reiner
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erica Korb
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory Corder
- Dept. of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Dept. of Neuroscience, Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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5
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Hasan A, Pearl A, Daher M, Saleh KJ. Patient genetic heterogeneities acting as indicators of post-operative pain and opioid requirement in orthopedic surgery: A systematic review. J Opioid Manag 2024; 20:77-85. [PMID: 38533718 DOI: 10.5055/jom.0809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
INTRODUCTION Orthopedic surgical procedures are expected to increase annually, making it imperative to understand the correlations between patient genetic makeup and post-operative pain levels. METHODS We performed a systematic literature review using PubMed and Cochrane databases in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 299 articles were initially selected, 20 articles remained after title and abstract review, and nine articles were selected for inclusion upon full text review. RESULTS Genetic risk factors identified included the A allele of the 5HT2A gene single nucleotide polymorphism, the AA genotype of the ADRB2 gene, the CG genotype of the IL6 gene, the genotypes CT and TT of the NTRK1 gene, genotypes AA and GA of the OPRM gene, and the AA and GA genotypes of the COMT gene. Additional studies in the review discuss statistical significance of other variants of the COMT gene. CONCLUSION There have been genetic association studies performed on the patient heterogeneity and its relationship on patient pain levels, but more data need to be collected to understand the clinical utility of stratifying patients based on genomic sequence.
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Affiliation(s)
- Ahmad Hasan
- Department of Orthopaedic Surgery, Detroit Medical Center, Detroit; Department of Research, Fajr Scientific, Ann Arbor, Michigan
| | - Adam Pearl
- Department of Emergency Medicine, HCA Aventura Hospital, Aventura, Florida
| | - Mohammad Daher
- Orthopedics Department, Brown University, Providence, Rhode Island. ORCID: https://orcid.org/0000-0002-9256-9952
| | - Khaled J Saleh
- Department of Research, Fajr Scientific, Ann Arbor; Department of Research, John D Dingell VAMC, Detroit, Michigan
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Frangakis SG, MacEachern M, Akbar TA, Bolton C, Lin V, Smith AV, Brummett CM, Bicket MC. Association of Genetic Variants with Postsurgical Pain: A Systematic Review and Meta-analyses. Anesthesiology 2023; 139:827-839. [PMID: 37774411 PMCID: PMC10859728 DOI: 10.1097/aln.0000000000004677] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2023]
Abstract
BACKGROUND Postsurgical pain is a key component of surgical recovery. However, the genetic drivers of postsurgical pain remain unclear. A broad review and meta-analyses of variants of interest will help investigators understand the potential effects of genetic variation. METHODS This article is a systematic review of genetic variants associated with postsurgical pain in humans, assessing association with postsurgical pain scores and opioid use in both acute (0 to 48 h postoperatively) and chronic (at least 3 months postoperatively) settings. PubMed, Embase, and the Cochrane Central Register of Controlled Trials were searched from 2000 to 2022 for studies using search terms related to genetic variants and postsurgical pain in humans. English-language studies in adult patients examining associations of one or more genetic variants with postsurgical pain were included. The primary outcome was association of genetic variants with either acute or chronic postsurgical pain. Pain was measured by patient-reported pain score or analgesic or opioid consumption. RESULTS A total of 163 studies were included, evaluating 129 unique genes and 594 unique genetic variants. Many of the reported significant associations fail to be replicated in other studies. Meta-analyses were performed for seven variants for which there was sufficient data (OPRM1 rs1799971; COMT rs4680, rs4818, rs4633, and rs6269; and ABCB1 rs1045642 and rs2032582). Only two variants were associated with small differences in postsurgical pain: OPRM1 rs1799971 (for acute postsurgical opioid use standard mean difference = 0.25; 95% CI, 0.16 to 0.35; cohort size, 8,227; acute postsurgical pain score standard mean difference = 0.20; 95% CI, 0.09 to 0.31; cohort size, 4,619) and COMT rs4680 (chronic postsurgical pain score standard mean difference = 0.26; 95% CI, 0.08 to 0.44; cohort size, 1,726). CONCLUSIONS Despite much published data, only two alleles have a small association with postsurgical pain. Small sample sizes, potential confounding variables, and inconsistent findings underscore the need to examine larger cohorts with consistent outcome measures. EDITOR’S PERSPECTIVE
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Affiliation(s)
- Stephan G Frangakis
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Mark MacEachern
- Taubman Health Sciences Library, University of Michigan, Ann Arbor, Michigan
| | - T Adam Akbar
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan. Current Position: Department of Anesthesiology, Northwestern Medicine, Chicago, Illinois
| | - Christian Bolton
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Victor Lin
- Victor Lin, D.O., Ph.D.; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Chad M Brummett
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan; Opioid Prescribing and Engagement Network, Institute for Healthcare Innovation and Policy, University of Michigan, Ann Arbor, Michigan
| | - Mark C Bicket
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan; Opioid Prescribing and Engagement Network, Institute for Healthcare Innovation and Policy, University of Michigan, Ann Arbor, Michigan
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Li S, Brimmers A, van Boekel RL, Vissers KC, Coenen MJ. A systematic review of genome-wide association studies for pain, nociception, neuropathy, and pain treatment responses. Pain 2023; 164:1891-1911. [PMID: 37144689 PMCID: PMC10436363 DOI: 10.1097/j.pain.0000000000002910] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/07/2023] [Accepted: 02/10/2023] [Indexed: 05/06/2023]
Abstract
ABSTRACT Pain is the leading cause of disability worldwide, imposing an enormous burden on personal health and society. Pain is a multifactorial and multidimensional problem. Currently, there is (some) evidence that genetic factors could partially explain individual susceptibility to pain and interpersonal differences in pain treatment response. To better understand the underlying genetic mechanisms of pain, we systematically reviewed and summarized genome-wide association studies (GWASes) investigating the associations between genetic variants and pain/pain-related phenotypes in humans. We reviewed 57 full-text articles and identified 30 loci reported in more than 1 study. To check whether genes described in this review are associated with (other) pain phenotypes, we searched 2 pain genetic databases, Human Pain Genetics Database and Mouse Pain Genetics Database. Six GWAS-identified genes/loci were also reported in those databases, mainly involved in neurological functions and inflammation. These findings demonstrate an important contribution of genetic factors to the risk of pain and pain-related phenotypes. However, replication studies with consistent phenotype definitions and sufficient statistical power are required to validate these pain-associated genes further. Our review also highlights the need for bioinformatic tools to elucidate the function of identified genes/loci. We believe that a better understanding of the genetic background of pain will shed light on the underlying biological mechanisms of pain and benefit patients by improving the clinical management of pain.
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Affiliation(s)
- Song Li
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands. Coenen is now with the Department of Clinical Chemistry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Annika Brimmers
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands. Coenen is now with the Department of Clinical Chemistry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Regina L.M. van Boekel
- Department of Anesthesiology, Pain and Palliative Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kris C.P. Vissers
- Department of Anesthesiology, Pain and Palliative Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marieke J.H. Coenen
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands. Coenen is now with the Department of Clinical Chemistry, Erasmus Medical Center, Rotterdam, the Netherlands
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Kumar S, Kesavan R, Sistla SC, Penumadu P, Natarajan H, Nair S, Chakradhara Rao US, Venkatesan V, Kundra P. Impact of Genetic Variants on Postoperative Pain and Fentanyl Dose Requirement in Patients Undergoing Major Breast Surgery: A Candidate Gene Association Study. Anesth Analg 2023; 137:409-417. [PMID: 36538471 DOI: 10.1213/ane.0000000000006330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Postoperative analgesia is crucial for the early and effective recovery of patients undergoing surgery. Although postoperative multimodal analgesia is widely practiced, opioids such as fentanyl are still one of the best analgesics. The analgesic response of fentanyl varies widely among individuals, probably due to genetic and nongenetic factors. Among genetic factors, single nucleotide polymorphisms (SNPs) may influence its analgesic response by altering the structure or function of genes involved in nociceptive, fentanyl pharmacodynamic, and pharmacokinetic pathways. Thus, it is necessary to comprehensively ascertain if the SNPs present in the aforementioned pathways are associated with interindividual differences in fentanyl requirement. In this study, we evaluated the association between 10 candidate SNPs in 9 genes and 24-hour postoperative fentanyl dose (primary outcome) and also with postoperative pain scores and time for first analgesia (secondary outcomes). METHODS A total of 257 South Indian women, aged 18-70 years, with American Society of Anesthesiologists (ASA) physical status I-III, undergoing major breast surgery under general anesthesia, were included in the study. Patients were genotyped for candidate SNPs using real-time polymerase chain reaction. All patients received a standardized intravenous fentanyl infusion through a patient-controlled analgesic (PCA) pump, and the 24-hour postoperative fentanyl dose requirement was measured using PCA. RESULTS The median 24-hour postoperative fentanyl requirement was higher in rs1799971 carriers (G/G versus A/A + A/G-620 μg [500-700] vs 460 μg [400-580]) with a geometric mean (GM) ratio of 1.91 (95% confidence interval [CI], 1.071-1.327). The median 24-hour pain scores were higher in rs4680 carriers (A/G + A/A versus G/G-34 [30-38] vs 31 [30-38]) with a GM ratio of 1.059 (95% CI, 1.018-1.101) and were lower in rs1045642 carriers (A/A + A/G versus G/G-34 [30-38] vs 30 [30-34]) with a GM ratio of 0.936 (95% CI, 0.889-0.987). The median time for first analgesic was lower in rs734784 carriers [C/C versus T/T + C/T-240 minutes (180-270) vs 240 minutes (210-270)] with a GM ratio of 0.902 (95% CI, 0.837-0.972). Five of 9 clinical factors, namely, history of diabetes, hypertension, hypothyroidism, anesthesia duration, and intraoperative fentanyl requirement were associated with different outcomes individually ( P < .05) and were used to adjust the respective associations. CONCLUSIONS The SNP opioid receptor mu-1 ( OPRM1 ) (rs1799971) was associated with higher postoperative fentanyl requirement in South Indian patients undergoing major breast surgery. Twenty-four hour postoperative pain scores were higher in catechol-O-methyl transferase ( COMT ) (rs4680) carriers and lower in ATP binding cassette subfamily B member 1 ( ABCB1 ) (rs1045642) carriers, whereas time for first analgesic was lower in potassium channel subunit 1 ( KCNS1 ) (rs734784) carriers. However, these exploratory findings must be confirmed in a larger study.
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Affiliation(s)
- Shathish Kumar
- From the Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Ramasamy Kesavan
- From the Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sarath Chandra Sistla
- Department of General Surgery, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India; Departments of
| | | | - Harivenkatesh Natarajan
- From the Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | | | - Uppugunduri S Chakradhara Rao
- Faculty of Medicine, CANSEARCH Research Platform in Pediatric Oncology and Hematology, Department of Pediatrics, Gynecology and Obstetrics, University of Geneva, Geneva, Switzerland
| | - Vasuki Venkatesan
- Indian Council of Medical Research-Vector Control Research Centre, Department of Health Research, Ministry of Health & Family Welfare, GOI, Puducherry, India
| | - Pankaj Kundra
- Department of Anaesthesiology, JIPMER, Puducherry, India
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9
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Rs11726196 Single-Nucleotide Polymorphism of the Transient Receptor Potential Canonical 3 ( TRPC3) Gene Is Associated with Chronic Pain. Int J Mol Sci 2023; 24:ijms24021028. [PMID: 36674543 PMCID: PMC9867099 DOI: 10.3390/ijms24021028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/15/2022] [Accepted: 12/30/2022] [Indexed: 01/06/2023] Open
Abstract
Chronic pain is reportedly associated with the transient receptor potential canonical 3 (TRPC3) gene. The present study examined the genetic associations between the single-nucleotide polymorphisms (SNPs) of the TRPC3 gene and chronic pain. The genomic samples from 194 patients underwent linkage disequilibrium (LD) analyses of 29 SNPs within and around the vicinity of the TRPC3 gene. We examined the associations between the SNPs and the susceptibility to chronic pain by comparing the genotype distribution of 194 patients with 282 control subjects. All SNP genotype data were extracted from our previous whole-genome genotyping results. Twenty-nine SNPs were extracted, and a total of four LD blocks with 15 tag SNPs were observed within and around the TRPC3 gene. We further analyzed the associations between these tag SNPs and chronic pain. The rs11726196 SNP genotype distribution of patients was significantly different from the control subjects even after multiple-testing correction with the number of SNPs. The TT + TG genotype of rs11726196 is often carried by chronic pain patients, suggesting a causal role for the T allele. These results contribute to our understanding of the genetic risk factors for chronic pain.
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10
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Li S, van Boekel RLM, van den Heuvel SAS, Coenen MJH, Vissers KCP. Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain. BMJ Open 2022; 12:e066134. [PMID: 36446453 PMCID: PMC9710368 DOI: 10.1136/bmjopen-2022-066134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Postoperative pain remains a challenging medical condition impacting the quality of life of every patient. Although several predictive factors for postoperative pain have been identified, an adequate prediction of postoperative pain in patients at risk has not been achieved yet.The primary objective of this study is to identify specific genetic risk factors for the development of acute and chronic postoperative pain to construct a prediction model facilitating a more personalised postoperative pain management for each individual. The secondary objectives are to build a databank enabling researchers to identify other risk factors for postoperative pain, for instance, demographic and clinical outcome indicators; provide insight into (genetic) factors that predict pharmacological pain relief; investigate the relationship between acute and chronic postoperative pain. METHODS AND ANALYSIS In this prospective, observational study, patients who undergo elective surgery will be recruited to a sample size of approximately 10 000 patients. Postoperative acute and chronic pain outcomes will be collected through questionnaires at different time points after surgery in the follow-up of 6 months. Potential genetic, demographic and clinical risk factors for prediction model construction will be collected through blood, questionnaires and electronic health records, respectively.Genetic factors associated with acute and/or chronic postoperative pain will be identified using a genome-wide association analysis. Clinical risk factors as stated in the secondary objectives will be assessed by multivariable regression. A clinical easy-to-use prediction model will be created for postoperative pain to allow clinical use for the stratification of patients. ETHICS AND DISSEMINATION The Institutional Review Board of the Radboud university medical centre approved the study (authorisation number: 2012/117). The results of this study will be made available through peer-reviewed scientific journals and presentations at relevant conferences, which will finally contribute to personalised postoperative pain management. TRIAL REGISTRATION NUMBER NCT02383342.
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Affiliation(s)
- Song Li
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | - Regina L M van Boekel
- Department of Anesthesiology, Pain and Palliative Medicine, Radboud university medical center, Nijmegen, The Netherlands
| | - Sandra A S van den Heuvel
- Department of Anesthesiology, Pain and Palliative Medicine, Radboud university medical center, Nijmegen, The Netherlands
| | - Marieke J H Coenen
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | - Kris C P Vissers
- Department of Anesthesiology, Pain and Palliative Medicine, Radboud university medical center, Nijmegen, The Netherlands
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11
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Loos NL, Hoogendam L, Souer JS, Slijper HP, Andrinopoulou ER, Coppieters MW, Selles RW. Machine Learning Can be Used to Predict Function but Not Pain After Surgery for Thumb Carpometacarpal Osteoarthritis. Clin Orthop Relat Res 2022; 480:1271-1284. [PMID: 35042837 PMCID: PMC9191288 DOI: 10.1097/corr.0000000000002105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 12/13/2021] [Indexed: 01/31/2023]
Abstract
BACKGROUND Surgery for thumb carpometacarpal osteoarthritis is offered to patients who do not benefit from nonoperative treatment. Although surgery is generally successful in reducing symptoms, not all patients benefit. Predicting clinical improvement after surgery could provide decision support and enhance preoperative patient selection. QUESTIONS/PURPOSES This study aimed to develop and validate prediction models for clinically important improvement in (1) pain and (2) hand function 12 months after surgery for thumb carpometacarpal osteoarthritis. METHODS Between November 2011 and June 2020, 2653 patients were surgically treated for thumb carpometacarpal osteoarthritis. Patient-reported outcome measures were used to preoperatively assess pain, hand function, and satisfaction with hand function, as well as the general mental health of patients and mindset toward their condition. Patient characteristics, medical history, patient-reported symptom severity, and patient-reported mindset were considered as possible predictors. Patients who had incomplete Michigan Hand outcomes Questionnaires at baseline or 12 months postsurgery were excluded, as these scores were used to determine clinical improvement. The Michigan Hand outcomes Questionnaire provides subscores for pain and hand function. Scores range from 0 to 100, with higher scores indicating less pain and better hand function. An improvement of at least the minimum clinically important difference (MCID) of 14.4 for the pain score and 11.7 for the function score were considered "clinically relevant." These values were derived from previous reports that provided triangulated estimates of two anchor-based and one distribution-based MCID. Data collection resulted in a dataset of 1489 patients for the pain model and 1469 patients for the hand function model. The data were split into training (60%), validation (20%), and test (20%) dataset. The training dataset was used to select the predictive variables and to train our models. The performance of all models was evaluated in the validation dataset, after which one model was selected for further evaluation. Performance of this final model was evaluated on the test dataset. We trained the models using logistic regression, random forest, and gradient boosting machines and compared their performance. We chose these algorithms because of their relative simplicity, which makes them easier to implement and interpret. Model performance was assessed using discriminative ability and qualitative visual inspection of calibration curves. Discrimination was measured using area under the curve (AUC) and is a measure of how well the model can differentiate between the outcomes (improvement or no improvement), with an AUC of 0.5 being equal to chance. Calibration is a measure of the agreement between the predicted probabilities and the observed frequencies and was assessed by visual inspection of calibration curves. We selected the model with the most promising performance for clinical implementation (that is, good model performance and a low number of predictors) for further evaluation in the test dataset. RESULTS For pain, the random forest model showed the most promising results based on discrimination, calibration, and number of predictors in the validation dataset. In the test dataset, this pain model had a poor AUC (0.59) and poor calibration. For function, the gradient boosting machine showed the most promising results in the validation dataset. This model had a good AUC (0.74) and good calibration in the test dataset. The baseline Michigan Hand outcomes Questionnaire hand function score was the only predictor in the model. For the hand function model, we made a web application that can be accessed via https://analyse.equipezorgbedrijven.nl/shiny/cmc1-prediction-model-Eng/. CONCLUSION We developed a promising model that may allow clinicians to predict the chance of functional improvement in an individual patient undergoing surgery for thumb carpometacarpal osteoarthritis, which would thereby help in the decision-making process. However, caution is warranted because our model has not been externally validated. Unfortunately, the performance of the prediction model for pain is insufficient for application in clinical practice. LEVEL OF EVIDENCE Level III, therapeutic study.
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Affiliation(s)
- Nina L. Loos
- Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, Rotterdam, the Netherlands
- Department of Rehabilitation Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Lisa Hoogendam
- Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, Rotterdam, the Netherlands
- Department of Rehabilitation Medicine, Erasmus MC, Rotterdam, the Netherlands
- Hand and Wrist Center, Xpert Clinics, the Netherlands
| | | | - Harm P. Slijper
- Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, Rotterdam, the Netherlands
- Hand and Wrist Center, Xpert Clinics, the Netherlands
| | - Eleni-Rosalina Andrinopoulou
- Department of Biostatistics, Erasmus MC, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Michel W. Coppieters
- Menzies Health Institute Queensland, Griffith University, Brisbane and Gold Coast, Australia
- Amsterdam Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruud W. Selles
- Department of Plastic, Reconstructive and Hand Surgery, Erasmus MC, Rotterdam, the Netherlands
- Department of Rehabilitation Medicine, Erasmus MC, Rotterdam, the Netherlands
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12
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Steen Pettersen P, Neogi T, Magnusson K, Mathiessen A, Hammer HB, Uhlig T, Kvien TK, Haugen IK. Associations between joint pathologies and central sensitization in persons with hand osteoarthritis: results from the Nor-Hand study. Rheumatology (Oxford) 2022; 61:2316-2324. [PMID: 34559196 PMCID: PMC9157061 DOI: 10.1093/rheumatology/keab708] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 09/10/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Pain sensitization is associated with pain severity in persons with hand OA. What contributes to pain sensitization is unclear. This study explores whether hand OA pathologies and symptom duration are related to central sensitization. METHOD Participants with hand OA in the Nor-Hand study underwent bilateral hand radiography and US examination. Central sensitization was assessed with pressure pain thresholds (PPT) at remote sites (wrist, trapezius and tibialis anterior muscles) and temporal summation. We examined whether hand OA pathologies, independent of each other, including structural severity (Kellgren-Lawrence sum score, presence of erosive hand OA), inflammatory severity (greyscale synovitis and power Doppler activity sum scores) and symptom duration, were related to central sensitization, adjusting for age, sex, BMI, comorbidities and OA-severity of knee/hip. RESULTS In 291 participants (88% women, median age 61 years, interquartile range 57-66 years) Kellgren-Lawrence, greyscale synovitis and power Doppler activity sum scores were not associated with lower PPTs at remote sites. Persons with erosive hand OA had lower PPTs at the wrist (adjusted beta -0.75, 95% CI -1.32, -0.19) and tibialis anterior (adjusted beta -0.82, 95% CI -1.54, -0.09) and had greater temporal summation (adjusted beta 0.56, 95% CI 0.12, 1.01) compared with persons with non-erosive disease. No associations were found for symptom duration. CONCLUSIONS A person's overall amount of structural or inflammatory hand OA pathologies was not associated with central sensitization. Although persons with erosive hand OA showed greater signs of central sensitization, the small differences suggest that central sensitization is mainly explained by factors other than joint pathologies.
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Affiliation(s)
- Pernille Steen Pettersen
- Division of Rheumatology and Research, Diakonhjemmet Hospital
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Tuhina Neogi
- Section of Rheumatology, Boston University School of Medicine, Boston, MA, USA
| | - Karin Magnusson
- Orthopaedics, Clinical Epidemiology Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- Norwegian Institute of Public Health, Cluster for Health Services Research
| | | | - Hilde Berner Hammer
- Division of Rheumatology and Research, Diakonhjemmet Hospital
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Till Uhlig
- Faculty of Medicine, University of Oslo, Oslo, Norway
- National Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - Tore K Kvien
- Division of Rheumatology and Research, Diakonhjemmet Hospital
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ida K Haugen
- Division of Rheumatology and Research, Diakonhjemmet Hospital
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13
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Dourson AJ, Willits A, Raut NG, Kader L, Young E, Jankowski MP, Chidambaran V. Genetic and epigenetic mechanisms influencing acute to chronic postsurgical pain transitions in pediatrics: Preclinical to clinical evidence. Can J Pain 2022; 6:85-107. [PMID: 35572362 PMCID: PMC9103644 DOI: 10.1080/24740527.2021.2021799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 11/30/2021] [Accepted: 12/20/2021] [Indexed: 12/02/2022]
Abstract
Background Chronic postsurgical pain (CPSP) in children remains an important problem with no effective preventive or therapeutic strategies. Recently, genomic underpinnings explaining additional interindividual risk beyond psychological factors have been proposed. Aims We present a comprehensive review of current preclinical and clinical evidence for genetic and epigenetic mechanisms relevant to pediatric CPSP. Methods Narrative review. Results Animal models are relevant to translational research for unraveling genomic mechanisms. For example, Cacng2, p2rx7, and bdnf mutant mice show altered mechanical hypersensitivity to injury, and variants of the same genes have been associated with CPSP susceptibility in humans; similarly, differential DNA methylation (H1SP) and miRNAs (miR-96/7a) have shown translational implications. Animal studies also suggest that crosstalk between neurons and immune cells may be involved in nociceptive priming observed in neonates. In children, differential DNA methylation in regulatory genomic regions enriching GABAergic, dopaminergic, and immune pathways, as well as polygenic risk scores for enhanced prediction of CPSP, have been described. Genome-wide studies in pediatric CPSP are scarce, but pathways identified by adult gene association studies point to potential common mechanisms. Conclusions Bench-to-bedside genomics research in pediatric CPSP is currently limited. Reverse translational approaches, use of other -omics, and inclusion of pediatric/CPSP endophenotypes in large-scale biobanks may be potential solutions. Time of developmental vulnerability and longitudinal genomic changes after surgery warrant further investigation. Emergence of promising precision pain management strategies based on gene editing and epigenetic programing emphasize need for further research in pediatric CPSP-related genomics.
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Affiliation(s)
- Adam J. Dourson
- Department of Anesthesia, Division of Pain Management, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,USA
| | - Adam Willits
- Neuroscience Graduate Program, University of Kansas Medical Center, Kansas City, Kansas, USA
- Department of Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Namrata G.R. Raut
- Department of Anesthesia, Division of Pain Management, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,USA
| | - Leena Kader
- Neuroscience Graduate Program, University of Kansas Medical Center, Kansas City, Kansas, USA
- Department of Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Erin Young
- Neuroscience Graduate Program, University of Kansas Medical Center, Kansas City, Kansas, USA
- Department of Anesthesiology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Michael P. Jankowski
- Department of Anesthesia, Division of Pain Management, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,USA
- Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio, USA
| | - Vidya Chidambaran
- Department of Anesthesia, Division of Pain Management, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,USA
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14
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Kouraki A, Doherty M, Fernandes GS, Zhang W, Walsh DA, Kelly A, Valdes AM. Different genes may be involved in distal and local sensitisation: a genome-wide gene-based association study and meta-analysis. Eur J Pain 2021; 26:740-753. [PMID: 34958702 PMCID: PMC9303629 DOI: 10.1002/ejp.1902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/11/2021] [Accepted: 12/25/2021] [Indexed: 11/22/2022]
Abstract
Background Neuropathic pain symptoms and signs of increased pain sensitization in osteoarthritis (OA) patients may explain persistent pain after total joint replacement (TJR). Therefore, identifying genetic markers associated with pain sensitization and neuropathic‐like pain phenotypes could be clinically important in identifying targets for early intervention. Methods We performed a genome‐wide gene‐based association study (GWGAS) using pressure pain detection thresholds (PPTs) from distal pain‐free sites (anterior tibia), a measure of distal sensitization, and from proximal pain‐affected sites (lateral joint line), a measure of local sensitization, in 320 knee OA participants from the Knee Pain and related health in the Community (KPIC) cohort. We next performed gene‐based fixed‐effects meta‐analysis of PPTs and a neuropathic‐like pain phenotype using genome‐wide association study (GWAS) data from KPIC and from an independent cohort of 613 post‐TJR participants, respectively. Results The most significant genes associated with distal and local sensitization were OR5B3 and BRDT, respectively. We also found previously identified neuropathic pain‐associated genes—KCNA1, MTOR, ADORA1 and SCN3B—associated with PPT at the anterior tibia and an inflammatory pain gene—PTAFR—associated with PPT at the lateral joint line. Meta‐analysis results of anterior tibia and neuropathic‐like pain phenotypes revealed genes associated with bone morphogenesis, neuro‐inflammation, obesity, type 2 diabetes, cardiovascular disease and cognitive function. Conclusions Overall, our results suggest that different biological processes might be involved in distal and local sensitization, and common genetic mechanisms might be implicated in distal sensitization and neuropathic‐like pain. Future studies are needed to replicate these findings. Significance To the best of our knowledge, this is the first GWAS for pain sensitization and the first gene‐based meta‐analysis of pain sensitization and neuropathic‐like pain. Higher pain sensitization and neuropathic pain symptoms are associated with persistent pain after surgery hence, identifying genetic biomarkers and molecular pathways associated with these traits is clinically relevant.
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Affiliation(s)
- A Kouraki
- Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, NG5 1PB, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, NG5 1PB, United Kingdom
| | - M Doherty
- Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, NG5 1PB, United Kingdom.,Pain Centre Versus Arthritis, University of Nottingham, Nottingham, NG5 1PB, United Kingdom.,Versus Arthritis Centre for Sports, Exercise and Osteoarthritis, University of Nottingham, Nottingham, NG7 2UH, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, NG5 1PB, United Kingdom
| | - G S Fernandes
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS1 6EH, United Kingdom
| | - W Zhang
- Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, NG5 1PB, United Kingdom.,Pain Centre Versus Arthritis, University of Nottingham, Nottingham, NG5 1PB, United Kingdom.,Versus Arthritis Centre for Sports, Exercise and Osteoarthritis, University of Nottingham, Nottingham, NG7 2UH, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, NG5 1PB, United Kingdom
| | - D A Walsh
- Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, NG5 1PB, United Kingdom.,Pain Centre Versus Arthritis, University of Nottingham, Nottingham, NG5 1PB, United Kingdom.,Versus Arthritis Centre for Sports, Exercise and Osteoarthritis, University of Nottingham, Nottingham, NG7 2UH, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, NG5 1PB, United Kingdom
| | - A Kelly
- Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, NG5 1PB, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, NG5 1PB, United Kingdom
| | - A M Valdes
- Academic Rheumatology, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, NG5 1PB, United Kingdom.,Pain Centre Versus Arthritis, University of Nottingham, Nottingham, NG5 1PB, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, NG5 1PB, United Kingdom
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15
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Veluchamy A, Hébert HL, van Zuydam NR, Pearson ER, Campbell A, Hayward C, Meng W, McCarthy MI, Bennett DLH, Palmer CNA, Smith BH. Association of Genetic Variant at Chromosome 12q23.1 With Neuropathic Pain Susceptibility. JAMA Netw Open 2021; 4:e2136560. [PMID: 34854908 PMCID: PMC8640893 DOI: 10.1001/jamanetworkopen.2021.36560] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
IMPORTANCE Neuropathic pain (NP) has important clinical and socioeconomic consequences for individuals and society. Increasing evidence indicates that genetic factors make a significant contribution to NP, but genome-wide association studies (GWASs) are scant in this field and could help to elucidate susceptibility to NP. OBJECTIVE To identify genetic variants associated with NP susceptibility. DESIGN, SETTING, AND PARTICIPANTS This genetic association study included a meta-analysis of GWASs of NP using 3 independent cohorts: ie, Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS); Generation Scotland: Scottish Family Health Study (GS:SFHS); and the United Kingdom Biobank (UKBB). Data analysis was conducted from April 2018 to December 2019. EXPOSURES Individuals with NP (ie, case participants; those with pain of ≥3 months' duration and a Douleur Neuropathique en 4 Questions score ≥3) and individuals with no pain (ie, control participants) with or without diabetes from GoDARTS and GS:SFHS were identified using validated self-completed questionnaires. In the UKBB, self-reported prescribed medication and hospital records were used as a proxy to identify case participants (patients recorded as receiving specific anti-NP medicines) and control participants. MAIN OUTCOMES AND MEASURES GWAS was performed using linear mixed modeling. GWAS summary statistics were combined using fixed-effect meta-analysis. A total of 51 variants previously shown to be associated with NP were tested for replication. RESULTS This study included a total of 4512 case participants (2662 [58.9%] women; mean [SD] age, 61.7 [10.8] years) and 428 489 control participants (227 817 [53.2%] women; mean [SD] age, 62.3 [11.5] years) in the meta-analysis of 3 cohorts with European descent. The study found a genome-wide significant locus at chromosome 12q23.1, which mapped to SLC25A3 (rs369920026; odds ratio [OR] for having NP, 1.68; 95% CI, 1.40-2.02; P = 1.30 × 10-8), and a suggestive variant at 13q14.2 near CAB39L (rs7992766; OR, 1.09; 95% CI, 1.05-1.14; P = 1.22 × 10-7). These mitochondrial phosphate carriers and calcium binding genes are expressed in brain and dorsal root ganglia. Colocalization analyses using expression quantitative loci data found that the suggestive variant was associated with expression of CAB39L in the brain cerebellum (P = 1.01 × 10-14). None of the previously reported variants were replicated. CONCLUSIONS AND RELEVANCE To our knowledge, this was the largest meta-analyses of GWAS to date. It found novel genetic variants associated with NP susceptibility. These findings provide new insights into the genetic architecture of NP and important information for further studies.
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Affiliation(s)
- Abirami Veluchamy
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Harry L. Hébert
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | | | - Ewan R. Pearson
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Archie Campbell
- Generation Scotland, Centre for Genomics and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Caroline Hayward
- Generation Scotland, Centre for Genomics and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
- Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Weihua Meng
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Mark I. McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | - David L. H. Bennett
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Colin N. A. Palmer
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Blair H. Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
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16
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Oh KK, Adnan M, Cho DH. Network Pharmacology Study on Morus alba L. Leaves: Pivotal Functions of Bioactives on RAS Signaling Pathway and Its Associated Target Proteins against Gout. Int J Mol Sci 2021; 22:9372. [PMID: 34502281 PMCID: PMC8431517 DOI: 10.3390/ijms22179372] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 12/27/2022] Open
Abstract
M. alba L. is a valuable nutraceutical plant rich in potential bioactive compounds with promising anti-gouty arthritis. Here, we have explored bioactives, signaling pathways, and key proteins underlying the anti-gout activity of M. alba L. leaves for the first-time utilizing network pharmacology. Bioactives in M. alba L. leaves were detected through GC-MS (Gas Chromatography-Mass Spectrum) analysis and filtered by Lipinski's rule. Target proteins connected to the filtered compounds and gout were selected from public databases. The overlapping target proteins between bioactives-interacted target proteins and gout-targeted proteins were identified using a Venn diagram. Bioactives-Proteins interactive networking for gout was analyzed to identify potential ligand-target and visualized the rich factor on the R package via the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway on STRING. Finally, a molecular docking test (MDT) between bioactives and target proteins was analyzed via AutoDock Vina. Gene Set Enrichment Analysis (GSEA) demonstrated that mechanisms of M. alba L. leaves against gout were connected to 17 signaling pathways on 26 compounds. AKT1 (AKT Serine/Threonine Kinase 1), γ-Tocopherol, and RAS signaling pathway were selected as a hub target, a key bioactive, and a hub signaling pathway, respectively. Furthermore, three main compounds (γ-Tocopherol, 4-Dehydroxy-N-(4,5-methylenedioxy-2-nitrobenzylidene) tyramine, and Lanosterol acetate) and three key target proteins-AKT1, PRKCA, and PLA2G2A associated with the RAS signaling pathway were noted for their highest affinity on MDT. The identified three key bioactives in M. alba L. leaves might contribute to recovering gouty condition by inactivating the RAS signaling pathway.
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Affiliation(s)
| | | | - Dong Ha Cho
- Department of Bio-Health Convergence, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Korea; (K.K.O.); (M.A.)
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17
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Fang J, Wang S, Zhou J, Shao X, Sun H, Liang Y, He X, Jiang Y, Liu B, Jin X, Fang J, Du J. Electroacupuncture Regulates Pain Transition Through Inhibiting PKCε and TRPV1 Expression in Dorsal Root Ganglion. Front Neurosci 2021; 15:685715. [PMID: 34354561 PMCID: PMC8329384 DOI: 10.3389/fnins.2021.685715] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/28/2021] [Indexed: 11/16/2022] Open
Abstract
Many cases of acute pain can be resolved with few side effects. However, some cases of acute pain may persist beyond the time required for tissue injury recovery and transit to chronic pain, which is hard to treat. The mechanisms underlying pain transition are not entirely understood, and treatment strategies are lacking. In this study, the hyperalgesic priming model was established on rats to study pain transition by injection of carrageenan (Car) and prostaglandin E2 (PGE2). The expression levels of protein kinase C epsilon (PKCε) and transient receptor potential vanilloid 1 (TRPV1) in the L4–L6 dorsal root ganglion (DRG) were investigated. Electroacupuncture (EA) is a form of acupuncture in which a small electric current is passed between a pair of acupuncture needles. EA was administrated, and its effect on hyperalgesia and PKCε and TRPV1 expression was investigated. The PKCε–TRPV1 signaling pathway in DRG was implicated in the pain transition. EA increased the pain threshold of model animals and regulated the high expression of PKCε and TRPV1. Moreover, EA also regulated hyperalgesia and high TRPV1 expression induced by selective PKCε activation. We also found that EA partly increased chronic pain threshold, even though it was only administered between the Car and PGE2 injections. These findings suggested that EA could prevent the transition from acute to chronic pain by inhibiting the PKCε and TRPV1 expression in the peripheral nervous system.
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Affiliation(s)
- Junfan Fang
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Sisi Wang
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Jie Zhou
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Xiaomei Shao
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Haiju Sun
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Yi Liang
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Xiaofen He
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Yongliang Jiang
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Boyi Liu
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Xiaoming Jin
- Department of Anatomy, Cell Biology and Physiology, Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Jianqiao Fang
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
| | - Junying Du
- Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Zhejiang Chinese Medical University, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Hangzhou, China
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18
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Abstract
Pain is an immense clinical and societal challenge, and the key to understanding and treating it is variability. Robust interindividual differences are consistently observed in pain sensitivity, susceptibility to developing painful disorders, and response to analgesic manipulations. This review examines the causes of this variability, including both organismic and environmental sources. Chronic pain development is a textbook example of a gene-environment interaction, requiring both chance initiating events (e.g., trauma, infection) and more immutable risk factors. The focus is on genetic factors, since twin studies have determined that a plurality of the variance likely derives from inherited genetic variants, but sex, age, ethnicity, personality variables, and environmental factors are also considered.
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Affiliation(s)
- Jeffrey S Mogil
- Departments of Psychology and Anesthesia, Alan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec H3A 1B1, Canada;
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19
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Chidambaran V, Zhang X, Pilipenko V, Chen X, Wronowski B, Geisler K, Martin LJ, Barski A, Weirauch MT, Ji H. Methylation quantitative trait locus analysis of chronic postsurgical pain uncovers epigenetic mediators of genetic risk. Epigenomics 2021; 13:613-630. [PMID: 33820434 DOI: 10.2217/epi-2020-0424] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background: Overlap of pathways enriched by single nucleotide polymorphisms and DNA-methylation underlying chronic postsurgical pain (CPSP), prompted pilot study of CPSP-associated methylation quantitative trait loci (meQTL). Materials & methods: Children undergoing spine-fusion were recruited prospectively. Logistic-regression for genome- and epigenome-wide CPSP association and DNA-methylation-single nucleotide polymorphism association/mediation analyses to identify meQTLs were followed by functional genomics analyses. Results: CPSP (n = 20/58) and non-CPSP groups differed in pain-measures. Of 2753 meQTLs, DNA-methylation at 127 cytosine-guanine dinucleotides mediated association of 470 meQTLs with CPSP (p < 0.05). At PARK16 locus, CPSP risk meQTLs were associated with decreased DNA-methylation at RAB7L1 and increased DNA-methylation at PM20D1. Corresponding RAB7L1/PM20D1 blood eQTLs (GTEx) and cytosine-guanine dinucleotide-loci enrichment for histone marks, transcription factor binding sites and ATAC-seq peaks suggest altered transcription factor-binding. Conclusion: CPSP-associated meQTLs indicate epigenetic mechanisms mediate genetic risk. Clinical trial registration: NCT01839461, NCT01731873 (ClinicalTrials.gov).
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Affiliation(s)
- Vidya Chidambaran
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Xue Zhang
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Valentina Pilipenko
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Xiaoting Chen
- Division of Allergy & Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Benjamin Wronowski
- Division of Allergy & Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Kristie Geisler
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Lisa J Martin
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH 45229, USA
| | - Artem Barski
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Division of Allergy & Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH 45229, USA
| | - Matthew T Weirauch
- Division of Allergy & Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.,Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH 45229, USA
| | - Hong Ji
- Department of Anatomy, Physiology & Cell biology, California National Primate Research Center, University of California, Davis, CA 95616, USA
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Chidambaran V, Pilipenko V, Jegga AG, Geisler K, Martin LJ. Systems Biology Guided Gene Enrichment Approaches Improve Prediction of Chronic Post-surgical Pain After Spine Fusion. Front Genet 2021; 12:594250. [PMID: 33868360 PMCID: PMC8044807 DOI: 10.3389/fgene.2021.594250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 03/02/2021] [Indexed: 12/11/2022] Open
Abstract
Objectives Incorporation of genetic factors in psychosocial/perioperative models for predicting chronic postsurgical pain (CPSP) is key for personalization of analgesia. However, single variant associations with CPSP have small effect sizes, making polygenic risk assessment important. Unfortunately, pediatric CPSP studies are not sufficiently powered for unbiased genome wide association (GWAS). We previously leveraged systems biology to identify candidate genes associated with CPSP. The goal of this study was to use systems biology prioritized gene enrichment to generate polygenic risk scores (PRS) for improved prediction of CPSP in a prospectively enrolled clinical cohort. Methods In a prospectively recruited cohort of 171 adolescents (14.5 ± 1.8 years, 75.4% female) undergoing spine fusion, we collected data about anesthesia/surgical factors, childhood anxiety sensitivity (CASI), acute pain/opioid use, pain outcomes 6-12 months post-surgery and blood (for DNA extraction/genotyping). We previously prioritized candidate genes using computational approaches based on similarity for functional annotations with a literature-derived "training set." In this study, we tested ranked deciles of 1336 prioritized genes for increased representation of variants associated with CPSP, compared to 10,000 randomly selected control sets. Penalized regression (LASSO) was used to select final variants from enriched variant sets for calculation of PRS. PRS incorporated regression models were compared with previously published non-genetic models for predictive accuracy. Results Incidence of CPSP in the prospective cohort was 40.4%. 33,104 case and 252,590 control variants were included for association analyses. The smallest gene set enriched for CPSP had 80/1010 variants associated with CPSP (p < 0.05), significantly higher than in 10,000 randomly selected control sets (p = 0.0004). LASSO selected 20 variants for calculating weighted PRS. Model adjusted for covariates including PRS had AUROC of 0.96 (95% CI: 0.92-0.99) for CPSP prediction, compared to 0.70 (95% CI: 0.59-0.82) for non-genetic model (p < 0.001). Odds ratios and positive regression coefficients for the final model were internally validated using bootstrapping: PRS [OR 1.98 (95% CI: 1.21-3.22); β 0.68 (95% CI: 0.19-0.74)] and CASI [OR 1.33 (95% CI: 1.03-1.72); β 0.29 (0.03-0.38)]. Discussion Systems biology guided PRS improved predictive accuracy of CPSP risk in a pediatric cohort. They have potential to serve as biomarkers to guide risk stratification and tailored prevention. Findings highlight systems biology approaches for deriving PRS for phenotypes in cohorts less amenable to large scale GWAS.
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Affiliation(s)
- Vidya Chidambaran
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Valentina Pilipenko
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Anil G Jegga
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.,Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Kristie Geisler
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Lisa J Martin
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
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21
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Kringel D, Malkusch S, Kalso E, Lötsch J. Computational Functional Genomics-Based AmpliSeq™ Panel for Next-Generation Sequencing of Key Genes of Pain. Int J Mol Sci 2021; 22:ijms22020878. [PMID: 33467215 PMCID: PMC7830224 DOI: 10.3390/ijms22020878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/27/2020] [Accepted: 01/12/2021] [Indexed: 11/16/2022] Open
Abstract
The genetic background of pain is becoming increasingly well understood, which opens up possibilities for predicting the individual risk of persistent pain and the use of tailored therapies adapted to the variant pattern of the patient's pain-relevant genes. The individual variant pattern of pain-relevant genes is accessible via next-generation sequencing, although the analysis of all "pain genes" would be expensive. Here, we report on the development of a cost-effective next generation sequencing-based pain-genotyping assay comprising the development of a customized AmpliSeq™ panel and bioinformatics approaches that condensate the genetic information of pain by identifying the most representative genes. The panel includes 29 key genes that have been shown to cover 70% of the biological functions exerted by a list of 540 so-called "pain genes" derived from transgenic mice experiments. These were supplemented by 43 additional genes that had been independently proposed as relevant for persistent pain. The functional genomics covered by the resulting 72 genes is particularly represented by mitogen-activated protein kinase of extracellular signal-regulated kinase and cytokine production and secretion. The present genotyping assay was established in 61 subjects of Caucasian ethnicity and investigates the functional role of the selected genes in the context of the known genetic architecture of pain without seeking functional associations for pain. The assay identified a total of 691 genetic variants, of which many have reports for a clinical relevance for pain or in another context. The assay is applicable for small to large-scale experimental setups at contemporary genotyping costs.
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Affiliation(s)
- Dario Kringel
- Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (D.K.); (S.M.)
| | - Sebastian Malkusch
- Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (D.K.); (S.M.)
| | - Eija Kalso
- Department of Anaesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, P.O. Box 440, 00029 HUS Helsinki, Finland;
| | - Jörn Lötsch
- Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (D.K.); (S.M.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany
- Correspondence: ; Tel.: +49-69-6301-4589; Fax: +49-69-6301-4354
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22
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Naureen Z, Lorusso L, Manganotti P, Caruso P, Mazzon G, Cecchin S, Marceddu G, Bertelli M. Genetics of pain: From rare Mendelian disorders to genetic predisposition to pain. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:e2020010. [PMID: 33170156 PMCID: PMC8023138 DOI: 10.23750/abm.v91i13-s.10682] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 10/23/2020] [Indexed: 02/01/2023]
Abstract
Background and aim of the work: Pain is defined by the International Association for the Study of Pain as “an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage”. In this mini-review, we focused on the Mendelian disorders with chronic pain as the main characteristic or where pain perception is disrupted, and on the polymorphisms that can impart susceptibility to chronic pain. Methods: We searched PubMed and Online Mendelian Inheritance in Man (OMIM) databases and selected only syndromes in which pain or insensitivity to pain were among the main characteristics. Polymorphisms were selected from the database GWAS catalog (https://www.ebi.ac.uk/gwas/home). Results: We retrieved a total of 28 genes associated with Mendelian inheritance in which pain or insensitivity to pain were the main characteristics and 70 polymorphisms associated with modulation of pain perception. Conclusions: This mini-review highlights the importance of genetics in phenotypes characterized by chronic pain or pain insensitivity. We think that an effective genetic test should analyze all genes associated with Mendelian pain disorders and all SNPs that can increase the risk of pain. (www.actabiomedica.it)
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Affiliation(s)
- Zakira Naureen
- Department of Biological Sciences and Chemistry, College of Arts and Sciences, University of Nizwa, Nizwa, Oman.
| | - Lorenzo Lorusso
- ASST Lecco, UOC Neurology and Stroke Unit, Merate (LC), Italy.
| | - Paolo Manganotti
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy.
| | - Paola Caruso
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy.
| | - Giulia Mazzon
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, Trieste, Italy.
| | | | | | - Matteo Bertelli
- MAGI'S LAB, Rovereto (TN), Italy; MAGI EUREGIO, Bolzano, Italy; EBTNA-LAB, Rovereto (TN), Italy.
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23
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TRPV1 and spinal astrocyte activation contribute to remifentanil-induced hyperalgesia in rats. Neuroreport 2020; 30:1095-1101. [PMID: 31568203 DOI: 10.1097/wnr.0000000000001329] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Remifentanil is an ultra-short-acting µ-opioid receptor agonist, which is widely used in general anesthesia. However, comparing with other opioids, remifentanil often induces hyperalgesia. Accumulating evidence suggests that the transient receptor potential (TRP) channels and glial cells activation were involved in the development of neuropathic pain and hyperalgesia. However, whether the TRP channels and glial cells contribute to remifentanil-induced hyperalgesia is still unknown. In this study, we used the hot-plate and Von Frey tests to evaluate the thermal and mechanical hyperalgesia. Protein expressions of TRPV1 and protein kinase C (PKC) in dorsal root ganglion were assayed by western blotting and mRNA level of Trpv1, Trpa1, Trpv4, and Trpm8 were assayed by real-time PCR. TNF-α, IL-1β, and IL-6 levels in spinal cord were measured by ELISA. Immunofluorescence assay was applied to analyze the activation of astrocyte in spinal cord. Continuing infusion of remifentanil induced thermal hyperalgesia and mechanical allodynia, which were accompanied by upregulation of TRPV1 and PKC protein in dorsal root ganglion. Moreover, remifentanil also increased the TNF-α, IL-1β, and IL-6 levels and activates the astrocyte in spinal cord. Our findings suggested that TRPV1 is involved in the TRPV1-PKC signaling pathway, which contributes to the persistence of remifentanil-induced postoperative hyperalgesia. In addition, the spinal astrocyte activation and inflammatory reaction are involved in the remifentanil-induced postoperative hyperalgesia.
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24
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Chidambaran V, Ashton M, Martin LJ, Jegga AG. Systems biology-based approaches to summarize and identify novel genes and pathways associated with acute and chronic postsurgical pain. J Clin Anesth 2020; 62:109738. [PMID: 32058259 DOI: 10.1016/j.jclinane.2020.109738] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/26/2019] [Accepted: 01/25/2020] [Indexed: 12/15/2022]
Abstract
STUDY OBJECTIVE To employ systems biology-based machine learning to identify biologic processes over-represented with genetic variants (gene enrichment) implicated in post-surgical pain. DESIGN Informed systems biology based integrative computational analyses. SETTING Pediatric research and teaching institution. INTERVENTIONS Pubmed search (01/01/2001-10/31/2017) was performed to identify "training" genes associated with postoperative pain in humans. Candidate genes were identified and prioritized using Toppgene suite, based on functional enrichment using several gene ontology annotations, and curated gene sets associated with mouse phenotype-knockout studies. MEASUREMENTS Computationally top-ranked candidate genes and literature-curated genes were included in pathway enrichment analyses. Hierarchical clustering was used to visualize select functional enrichment results between the two phenotypes. MAIN RESULTS Literature review identified 38 training genes associated with postoperative pain and 31 with CPSP. We identified 2610 prioritized novel candidate genes likely associated with acute and chronic postsurgical pain, the top 10th percentile jointly enriched (p 0.05; Benjamini-Hochberg correction) several pathways, topmost being cAMP response element-binding protein and ion channel pathways. Heat maps demonstrated enrichment of inflammatory/drug metabolism processes in acute postoperative pain and immune mechanisms in CPSP. CONCLUSION High interindividual variability in pain responses immediately after surgery and risk for CPSP suggests genetic susceptibility. Lack of large homogenous sample sizes have led to underpowered genetic association studies. Systems biology can be leveraged to integrate genetic-level data with biologic processes to generate prioritized candidate gene lists and understand novel biological pathways involved in acute postoperative pain and CPSP. Such data would be key to informing future polygenic studies with targeted genome wide profiling. This study demonstrates the utility of functional annotation - based prioritization and enrichment approaches and identifies novel genes and unique/shared biological processes involved in acute and chronic postoperative pain. Results provide framework for future targeted genetic profiling of CPSP risk, to enable preventive and therapeutic approaches.
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Affiliation(s)
- Vidya Chidambaran
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Maria Ashton
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lisa J Martin
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Anil G Jegga
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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25
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Zhang P, Southey BR, Rodriguez-Zas SL. Co-expression networks uncover regulation of splicing and transcription markers of disease. PROCEEDINGS OF THE ... ANNUAL INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 2020; 70:119-128. [PMID: 35047432 DOI: 10.29007/rl4h] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Gene co-expression networks based on gene expression data are usually used to capture biologically significant patterns, enabling the discovery of biomarkers and interpretation of regulatory relationships. However, the coordination of numerous splicing changes within and across genes can exert a substantial impact on the function of these genes. This is particularly impactful in studies of the properties of the nervous system, which can be masked in the networks that only assess the correlation between gene expression levels. A bioinformatics approach was developed to uncover the role of alternative splicing and associated transcriptional networks using RNA-seq profiles. Data from 40 samples, including control and two treatments associated with sensitivity to stimuli across two central nervous system regions that can present differential splicing, were explored. The gene expression and relative isoform levels were integrated into a transcriptome-wide matrix, and then Graphical Lasso was applied to capture the interactions between genes and isoforms. Next, functional enrichment analysis enabled the discovery of pathways dysregulated at the isoform or gene levels and the interpretation of these interactions within a central nervous region. In addition, a Bayesian biclustering strategy was used to reconstruct treatment-specific networks from gene expression profile, allowing the identification of hub molecules and visualization of highly connected modules of isoforms and genes in specific conditions. Our bioinformatics approach can offer comparable insights into the discovery of biomarkers and therapeutic targets for a wide range of diseases and conditions.
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Affiliation(s)
- Pan Zhang
- Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL, the U.S.,Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, the U.S
| | - Bruce R Southey
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, the U.S
| | - Sandra L Rodriguez-Zas
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, the U.S.,Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, the U.S.,Carle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, the U.S
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26
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Calvo M, Davies AJ, Hébert HL, Weir GA, Chesler EJ, Finnerup NB, Levitt RC, Smith BH, Neely GG, Costigan M, Bennett DL. The Genetics of Neuropathic Pain from Model Organisms to Clinical Application. Neuron 2019; 104:637-653. [PMID: 31751545 PMCID: PMC6868508 DOI: 10.1016/j.neuron.2019.09.018] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 09/05/2019] [Accepted: 09/12/2019] [Indexed: 12/14/2022]
Abstract
Neuropathic pain (NeuP) arises due to injury of the somatosensory nervous system and is both common and disabling, rendering an urgent need for non-addictive, effective new therapies. Given the high evolutionary conservation of pain, investigative approaches from Drosophila mutagenesis to human Mendelian genetics have aided our understanding of the maladaptive plasticity underlying NeuP. Successes include the identification of ion channel variants causing hyper-excitability and the importance of neuro-immune signaling. Recent developments encompass improved sensory phenotyping in animal models and patients, brain imaging, and electrophysiology-based pain biomarkers, the collection of large well-phenotyped population cohorts, neurons derived from patient stem cells, and high-precision CRISPR generated genetic editing. We will discuss how to harness these resources to understand the pathophysiological drivers of NeuP, define its relationship with comorbidities such as anxiety, depression, and sleep disorders, and explore how to apply these findings to the prediction, diagnosis, and treatment of NeuP in the clinic.
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Affiliation(s)
- Margarita Calvo
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alexander J Davies
- Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Harry L Hébert
- Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK
| | - Greg A Weir
- Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | | | - Nanna B Finnerup
- Department of Clinical Medicine, Danish Pain Research Center, Aarhus University, Aarhus 8000, Denmark
| | - Roy C Levitt
- Department of Anesthesiology, Perioperative Medicine and Pain Management, and John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Blair H Smith
- Chronic Pain Research Group, Division of Population Health and Genomics, Mackenzie Building, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK
| | - G Gregory Neely
- Dr. John and Anne Chong Lab for Functional Genomics, Camperdown, University of Sydney, Sydney, NSW, Australia
| | - Michael Costigan
- Departments of Anesthesia and Neurobiology, Children's Hospital Boston and Harvard Medical School, Boston, MA, USA.
| | - David L Bennett
- Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, UK.
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27
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Lee E, Takita C, Wright JL, Slifer SH, Martin ER, Urbanic JJ, Langefeld CD, Lesser GJ, Shaw EG, Hu JJ. Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study. Hum Genomics 2019; 13:28. [PMID: 31196165 PMCID: PMC6567461 DOI: 10.1186/s40246-019-0212-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 05/23/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Adjuvant radiotherapy (RT) can increase the risk of developing pain; however, the molecular mechanisms of RT-related pain remain unclear. The current study aimed to identify susceptibility loci and enriched pathways for clinically relevant acute post-RT pain, defined as having moderate to severe pain (pain score ≥ 4) at the completion of RT. METHODS We conducted a genome-wide association study (GWAS) with 1,344,832 single-nucleotide polymorphisms (SNPs), a gene-based analysis using PLINK set-based tests of 19,621 genes, and a functional enrichment analysis of a gene list of 875 genes with p < 0.05 using NIH DAVID functional annotation module with KEGG pathways and GO terms (n = 380) among 1112 breast cancer patients. RESULTS About 29% of patients reported acute post-RT pain. None of SNPs nor genes reached genome-wide significant level. Four SNPs showed suggestive associations with post-RT pain; rs16970540 in RFFL or near the LIG3 gene (p = 1.7 × 10-6), rs4584690, and rs7335912 in ABCC4/MPR4 gene (p = 5.5 × 10-6 and p = 7.8 × 10-6, respectively), and rs73633565 in EGFL6 gene (p = 8.1 × 10-6). Gene-based analysis suggested the potential involvement of neurotransmitters, olfactory receptors, and cytochrome P450 in post-RT pain, whereas functional analysis showed glucuronidation (FDR-adjusted p value = 9.46 × 10-7) and olfactory receptor activities (FDR-adjusted p value = 0.032) as the most significantly enriched biological features. CONCLUSIONS This is the first GWAS suggesting that post-RT pain is a complex polygenic trait influenced by many biological processes and functions such as glucuronidation and olfactory receptor activities. If validated in larger populations, the results can provide biological targets for pain management to improve cancer patients' quality of life. Additionally, these genes can be further tested as predictive biomarkers for personalized pain management.
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Affiliation(s)
- Eunkyung Lee
- Department of Health Sciences, University of Central Florida College of Health Professions and Sciences, Orlando, FL, 32816, USA.
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
| | - Cristiane Takita
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Jean L Wright
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, 21231, USA
| | - Susan H Slifer
- The Center for Genetic Epidemiology and Statistical Genetics, Joph P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Eden R Martin
- The Center for Genetic Epidemiology and Statistical Genetics, Joph P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - James J Urbanic
- Wake Forest NCORP Research Base, Winston-Salem, NC, 27157, USA
| | | | - Glenn J Lesser
- Wake Forest NCORP Research Base, Winston-Salem, NC, 27157, USA
| | - Edward G Shaw
- Wake Forest NCORP Research Base, Winston-Salem, NC, 27157, USA
| | - Jennifer J Hu
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
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28
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Chidambaran V, Gang Y, Pilipenko V, Ashton M, Ding L. Systematic Review and Meta-Analysis of Genetic Risk of Developing Chronic Postsurgical Pain. THE JOURNAL OF PAIN 2019; 21:2-24. [PMID: 31129315 DOI: 10.1016/j.jpain.2019.05.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 04/06/2019] [Accepted: 05/20/2019] [Indexed: 02/08/2023]
Abstract
Chronic postsurgical pain (CPSP) is a significant detriment to postsurgical recovery and a risk factor for prolonged opioid use. Emerging evidence suggests the estimated heritability for chronic pain is 45% and that genetic factors partially explain individual susceptibility to CPSP. The aim of this study was to systematically review, assess quality, and summarize the studies in humans that have investigated genetic factors associated with CPSP. We also conducted a meta-analysis to derive a single effect size for evaluable genetic associations with CPSP. Our comprehensive literature search included review of 21 full-text articles evaluating variants of 69 genes for association with CPSP. We found significant gene variant associations reported for variants/haplotypes of 26 genes involved in neurotransmission, pain signaling, immune responses and neuroactive ligand-receptor interaction, with CPSP. Six variants of 5 genes (COMT: rs4680 and rs6269, OPRM1: rs1799971, GCH1: rs3783641, KCNS1: rs734784 and TNFA: rs1800629), were evaluated by more than one study and were included in the meta-analysis. At rs734784 (A>G) of KCNS1, presence of G allele marginally increased risk of CPSP (Additive genetic model; Odds ratio: 1.511; 95% CI 1-2.284; P value: .050), while the other variants did not withstand meta-analyses criteria. Our findings demonstrate the role of genetic factors with different functions in CPSP, and also emphasize that single genetic factors have small effect sizes in explaining complex conditions like CPSP. Heterogeneity in surgical cohorts, population structure, and outcome definitions, as well as small number of available studies evaluating same variants, limit the meta-analysis. There is a need for large-scale, homogenous, replication studies to validate candidate genes, and understand the underlying biological networks underpinning CPSP. PERSPECTIVE: Our systematic review comprehensively describes 21 studies evaluating genetic association with CPSP, and limitations thereof. A meta-analysis of 6 variants (5 genes) found marginally increased risk for CPSP associated with rs734784 A>G of the potassium voltage-gated channel gene (KCNS1). Understanding genetic predisposition for CPSP will enable prediction and personalized management.
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Affiliation(s)
- Vidya Chidambaran
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio.
| | - Yang Gang
- Division of Biostatistics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Mathematical Sciences, University of Cincinnati, Cincinnati, Ohio
| | - Valentina Pilipenko
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Maria Ashton
- Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Lili Ding
- Division of Biostatistics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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Jeffries MA. Osteoarthritis year in review 2018: genetics and epigenetics. Osteoarthritis Cartilage 2019; 27:371-377. [PMID: 30808485 DOI: 10.1016/j.joca.2018.10.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 09/03/2018] [Accepted: 10/08/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE This review was designed to identify highlights of the osteoarthritis (OA) genetics and epigenetics literature published between April 2017 and January 2018. DESIGN A Pubmed literature search was conducted using the keywords 'osteoarthritis' and each of the following: 'genomic', 'genetic', 'epigenomic', 'epigenetic', 'histone', 'noncoding RNA', 'miRNA', 'lncRNA', 'DNA methylation', 'DNA hydroxymethylation', 'DNMT', and 'TET'. The dates of publication were restricted to 4/1/2017-1/15/2018. Results were compared to the same search terms limited to 4/1/2016-1/15/2017. RESULTS Virtually all search term combinations demonstrated a decrease in papers published this year compared to last, with epigenetic and miRNA/lncRNA research being stable. Despite this, numerous advances were made this year, including the second large genome-wide association study (GWAS) study of hand OA, a new twin study of hip and knee OA concordance, an extensive study of GDF5 evolution, analyses of the contribution of Dnmt3a to OA, a description of DNA methylation in a nonhuman primate model of OA, and an integrated, multi-omics analysis of DNA methylation, mRNA, and protein expression in human OA samples, among others. A variety of micro- and a few circular-RNA studies were also published, highlighting the importance of noncoding RNA in both the pathogenesis and potential treatment of OA. CONCLUSION Although publications have decreased slightly in the last year, genetics and epigenetics continue to be a topic of substantial research in OA, and considerable progress continues to be made in the field.
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Affiliation(s)
- M A Jeffries
- University of Oklahoma Health Sciences Center, Department of Internal Medicine, Division of Rheumatology, Immunology, and Allergy, Oklahoma City, OK, USA; Oklahoma Medical Research Foundation, Arthritis & Clinical Immunology Program, Oklahoma City, OK, USA.
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Abstract
PURPOSE OF REVIEW The current review will discuss the current literature on genetics of pain and analgesia, with special emphasis on perioperative setting. We will also discuss pharmacogenetics-based management guidelines, current clinical status and future perspectives. RECENT FINDINGS Recent literature suggests that the interindividual variability in pain and postoperative analgesic response is at least in part because of one's genetic make-up. Some of the well characterized polymorphisms that are associated with surgical pain and opioid-related postoperative adverse outcomes are described in catechol-O-methyl transferase, CYP2D6 and μ-opioid receptor (OPRM1), ATP-binding cassette subfamily B member 1, ABCC3, organic cation transporter 1 genes. Clinical Pharmacogenetics Implementation Consortium has put forth recommendations on CYP2D6 genotype-based opioid selection and dosing. The list of drug-gene pairs studied continue to expand. SUMMARY Pharmacogenetic approach marks the dawn of personalized pain medicine both in perioperative and chronic pain settings.
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McClain L, Farrell L, LaSorda K, Pan LA, Peters D, Lim G. Genetic associations of perinatal pain and depression. Mol Pain 2019; 15:1744806919882139. [PMID: 31552780 PMCID: PMC6796201 DOI: 10.1177/1744806919882139] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/16/2019] [Accepted: 09/17/2019] [Indexed: 01/09/2023] Open
Abstract
Underlying genetic influences may affect perinatal pain, depression, or both. We investigated the role of 59 single-nucleotide polymorphisms on 20 quantitative traits measured in perinatal women. Moreover, 183 pregnant women (28–37 weeks’ gestation) were prospectively genotyped for single-nucleotide polymorphisms with known prior associations with either pain or depression in nonpregnant populations. Prenatal saliva samples were collected. Phenotypic data were gathered during prenatal, labor and delivery, and postpartum (six weeks and three months) periods, capturing labor pain, Edinburgh Postnatal Depression Score, and Brief Pain Inventories. Following quality control, genotypes were used as predictors and phenotypes as dependent variables in multiple linear regression analyses to detect associations. Three statistical models were tested: additive allele effects, deviation from dominant allele effects, and the joint test of both. rs4633 (a synonymous single-nucleotide polymorphism in COMT ) associated with “pain right now” scores at six weeks postpartum. Single-nucleotide polymorphisms rs1135349 (a single-nucleotide polymorphism within a small noncoding RNA that has many prior associations for depression) and rs7548151 (intronic in ASTN1 ) were associated with the maximum pain unpleasantness score experienced during labor (a measure of the emotional valence of labor pain), controlling for the Holm–Bonferroni family-wise error rate. Sensory dimensions of labor pain (i.e., pain intensity) and postpartum depression scores were not associated with genotyped single-nucleotide polymorphisms. Identifying genomic components of these perinatal complex disorders may produce insights into relevant pathways or novel treatment options.
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Affiliation(s)
- Lora McClain
- Department of Psychiatry, Western Psychiatric Institute and
Clinic of UPMC, Pittsburgh, PA, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA,
USA
| | - Lia Farrell
- Department of Anesthesiology and Perioperative Medicine, School
of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelsea LaSorda
- Department of Anesthesiology and Perioperative Medicine, School
of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa A. Pan
- Department of Psychiatry, Western Psychiatric Institute and
Clinic of UPMC, Pittsburgh, PA, USA
- University of Pittsburgh School of Medicine, Pittsburgh, PA,
USA
- Department of Obstetrics, Gynecology and Reproductive Sciences,
University of Pittsburgh, Pittsburgh, PA, USA
| | - David Peters
- Department of Obstetrics, Gynecology and Reproductive Sciences,
University of Pittsburgh, Pittsburgh, PA, USA
- Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Grace Lim
- Department of Anesthesiology and Perioperative Medicine, School
of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences,
University of Pittsburgh, Pittsburgh, PA, USA
- Magee-Womens Research Institute, Pittsburgh, PA, USA
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Peffers MJ, Balaskas P, Smagul A. Osteoarthritis year in review 2017: genetics and epigenetics. Osteoarthritis Cartilage 2018; 26:304-311. [PMID: 28989115 PMCID: PMC6292677 DOI: 10.1016/j.joca.2017.09.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 09/06/2017] [Accepted: 09/08/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The purpose of this review is to describe highlights from original research publications related to osteoarthritis (OA), epigenetics and genomics with the intention of recognising significant advances. DESIGN To identify relevant papers a Pubmed literature search was conducted for articles published between April 2016 and April 2017 using the search terms 'osteoarthritis' together with 'genetics', 'genomics', 'epigenetics', 'microRNA', 'lncRNA', 'DNA methylation' and 'histone modification'. RESULTS The search term OA generated almost 4000 references. Publications using the combination of descriptors OA and genetics provided the most references (82 references). However this was reduced compared to the same period in the previous year; 8.1-2.1% (expressed as a percentage of the total publications combining the terms OA and genetics). Publications combining the terms OA with genomics (29 references), epigenetics (16 references), long non-coding RNA (lncRNA) (11 references; including the identification of novel lncRNAs in OA), DNA methylation (21 references), histone modification (3 references) and microRNA (miR) (79 references) were reviewed. Potential OA therapeutics such as histone deacetylase (HDAC) inhibitors have been identified. A number of non-coding RNAs may also provide targets for future treatments. CONCLUSION There continues to be a year on year increase in publications researching miRs in OA (expressed as a percentage of the total publications), with a doubling over the last 4 years. An overview on the last year's progress within the fields of epigenetics and genomics with respect to OA will be given.
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Affiliation(s)
- M J Peffers
- Institute of Ageing and Chronic Disease, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
| | - P Balaskas
- Institute of Ageing and Chronic Disease, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
| | - A Smagul
- Institute of Ageing and Chronic Disease, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
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Zorina-Lichtenwalter K, Parisien M, Diatchenko L. Genetic studies of human neuropathic pain conditions: a review. Pain 2018; 159:583-594. [PMID: 29240606 PMCID: PMC5828382 DOI: 10.1097/j.pain.0000000000001099] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 10/20/2017] [Accepted: 10/26/2017] [Indexed: 12/12/2022]
Abstract
Numerous studies have shown associations between genetic variants and neuropathic pain disorders. Rare monogenic disorders are caused by mutations of substantial effect size in a single gene, whereas common disorders are likely to have a contribution from multiple genetic variants of mild effect size, representing different biological pathways. In this review, we survey the reported genetic contributors to neuropathic pain and submit them for validation in a 150,000-participant sample of the U.K. Biobank cohort. Successfully replicated association with a neuropathic pain construct for 2 variants in IL10 underscores the importance of neuroimmune interactions, whereas genome-wide significant association with low back pain (P = 1.3e-8) and false discovery rate 5% significant associations with hip, knee, and neck pain for variant rs7734804 upstream of the MAT2B gene provide evidence of shared contributing mechanisms to overlapping pain conditions at the molecular genetic level.
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Affiliation(s)
| | - Marc Parisien
- Alan Edwards Pain Centre, McGill University, Montreal, QC, Canada
| | - Luda Diatchenko
- Alan Edwards Pain Centre, McGill University, Montreal, QC, Canada
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Li N, Duan G, Sun J, Guo S, Wang Q, Zheng H, Wang C, Zhu C, Liu Y, Zhang X. Associations between single-nucleotide polymorphisms in the NTRK1 gene and basal pain sensitivity in young Han Chinese women. Neurosci Lett 2018; 662:312-317. [DOI: 10.1016/j.neulet.2017.10.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 10/13/2017] [Accepted: 10/16/2017] [Indexed: 02/06/2023]
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Ikram MA, Brusselle GGO, Murad SD, van Duijn CM, Franco OH, Goedegebure A, Klaver CCW, Nijsten TEC, Peeters RP, Stricker BH, Tiemeier H, Uitterlinden AG, Vernooij MW, Hofman A. The Rotterdam Study: 2018 update on objectives, design and main results. Eur J Epidemiol 2017; 32:807-850. [PMID: 29064009 PMCID: PMC5662692 DOI: 10.1007/s10654-017-0321-4] [Citation(s) in RCA: 337] [Impact Index Per Article: 48.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 10/06/2017] [Indexed: 02/07/2023]
Abstract
The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.
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Affiliation(s)
- M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Guy G O Brusselle
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Sarwa Darwish Murad
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Gastro-Enterology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André Goedegebure
- Department of Otolaryngology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Caroline C W Klaver
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tamar E C Nijsten
- Department of Dermatology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Robin P Peeters
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Abstract
Persistent or chronic postsurgical pain (CPSP) has been defined as 'pain persisting beyond 2 months'. The cut-off limit of 2 months has been controversial, and some researchers argue for a 3-month period for the definition of CPSP. Multiple mechanisms, including both patient and surgical, have been shown to influence this transition. Patient factors include age, gender, anxiety, depression, somatisation, catastrophising, pre-existing pain anywhere and pain at the site of surgery. The various surgical factors include site and nature of surgery, infection, inflammation and repeat surgery. There is evidence that pre- or post-op chemotherapy and radiotherapy can also contribute towards the chronification of pain after surgery. The question of why pain following surgery or trauma persists long after the normal healing time is not yet fully explained by current evidence. This is frustrating to healthcare providers and intensely disappointing to the patients, many of whom suffer in silence for years. Genetics is now being shown to influence both the onset and the perpetuation of chronic pain in the susceptible patient. The main mechanisms are believed to be 'single nucleotide polymorphisms' (SNPs) and 'epigenetics', both of which will be discussed, with current and ongoing research and evidence, in this review. The influence of SNPs has not been replicated in recent studies and researchers advise caution in interpreting past studies. More research is needed to demonstrate the involvement of epigenetics as well as linking SNPs to the susceptible patient's journey.
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