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Jurynec MJ, Nosyreva E, Thompson D, Munoz C, Novak KA, Matheson DJ, Kazmers NH, Syeda R. PIEZO1 variants that reduce open channel probability are associated with familial osteoarthritis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.03.24312969. [PMID: 39281748 PMCID: PMC11398433 DOI: 10.1101/2024.09.03.24312969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
The synovial joints senses and responds to a multitude of physical forces to maintain joint homeostasis. Disruption of joint homeostasis results in development of osteoarthritis (OA), a disease characterized by loss of joint space, degeneration of articular cartilage, remodeling of bone and other joint tissues, low-grade inflammation, and pain. How changes in mechanosensing in the joint contribute to OA susceptibility remains elusive. PIEZO1 is a major mechanosensitive cation channel in the joint directly regulated by mechanical stimulus. To test whether altered PIEZO1 channel activity causes increased OA susceptibility, we determined whether variants affecting PIEZO1 are associated with dominant inheritance of age-associated familial OA. We identified four rare coding variants affecting PIEZO1 that are associated with familial hand OA. Single channel analyses demonstrated that all four PIEZO1 mutant channels act in a dominant-negative manner to reduce the open probability of the channel in response to pressure. Furthermore, we show that a GWAS mutation in PIEZO1 associated with reduced joint replacement results in increased channel activity when compared with WT and the mutants. Our data support the hypothesis that reduced PIEZO1 activity confers susceptibility to age-associated OA whereas increased PIEZO1 activity may be associated with reduced OA susceptibility.
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Affiliation(s)
- Michael J Jurynec
- Department of Orthopaedics, University of Utah, Salt Lake City, UT, 84108
- Department of Human Genetics, University of Utah, Salt Lake City, UT, 84112
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, 84112
| | - Elena Nosyreva
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390
| | - David Thompson
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390
| | - Crystal Munoz
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390
| | - Kendra A Novak
- Department of Orthopaedics, University of Utah, Salt Lake City, UT, 84108
| | - Derek J Matheson
- Department of Orthopaedics, University of Utah, Salt Lake City, UT, 84108
| | - Nikolas H Kazmers
- Department of Orthopaedics, University of Utah, Salt Lake City, UT, 84108
| | - Ruhma Syeda
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390
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Deveza LA, Zankl A, Hunter DJ. Investigation of a family affected by early-onset osteoarthritis - proposal of a clinical pathway and bioinformatics pipeline for the investigation of cases of familial OA. BMC Musculoskelet Disord 2023; 24:570. [PMID: 37443051 DOI: 10.1186/s12891-023-06691-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Familial cases of early-onset osteoarthritis (OA) are rare although the exact prevalence is unknown. Early recognition of underlying OA-associated disorders is vital for targeted treatment, when available, and genetic counselling, in case of skeletal dysplasias. Currently, there is no clear guidance on how best to investigate families affected by early-onset OA. METHODS We investigated a family with multiple members affected by early-onset OA (age at onset ≤ 40 years). Clinical and demographic characteristics were collected, followed by laboratory investigations screening for a range of potential OA-associated disorders, and whole genome sequencing in selected individuals. RESULTS Seventeen members of the family were included (7 affected and 10 non-affected). There was an even split between the two sexes and two participants were under 18 years old. No pattern of abnormality was seen in the laboratory investigation that could explain the OA phenotype in the family. Whole-genome sequencing was perfomed in one participant and analysed for likely pathogenic variants in genes known to be associated with skeletal dysplasias. A heterozygous variant in the COL2A1 gene was identified (p.Arg519Cys). Confirmatory tests were performed in five additional participants (four affected and one unaffected). CONCLUSION The methodology used in this study, including the clinical pathway and bioinformatics pipeline, could be applied to other families affected by early-onset OA.
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Affiliation(s)
- Leticia A Deveza
- Sydney Musculoskeletal Health, Kolling Institute, Faculty of Medicine, University of Sydney, Camperdown, Australia.
- Rheumatology Department, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, 2065, Australia.
| | - Andreas Zankl
- Sydney Musculoskeletal Health, Kolling Institute, Faculty of Medicine, University of Sydney, Camperdown, Australia
- Department of Clinical Genetics, The Children's Hospital at Westmead, Hawkesbury Road, Westmead, NSW, Australia
- Sydney Medical School, The University of Sydney, Camperdown, NSW, Australia
- Bone Biology Division and Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - David J Hunter
- Sydney Musculoskeletal Health, Kolling Institute, Faculty of Medicine, University of Sydney, Camperdown, Australia
- Rheumatology Department, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, 2065, Australia
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Davies M, Jurynec MJ, Gomez-Alvarado F, Hu D, Feeley SE, Allen-Brady K, Tashjian RZ, Feeley BT. Current cellular and molecular biology techniques for the orthopedic surgeon-scientist. J Shoulder Elbow Surg 2023; 32:e11-e22. [PMID: 35988889 DOI: 10.1016/j.jse.2022.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 06/27/2022] [Accepted: 07/07/2022] [Indexed: 02/01/2023]
Affiliation(s)
- Michael Davies
- Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Michael J Jurynec
- Department of Orthopaedics, University of Utah, Salt Lake City, UT, USA
| | - Francisco Gomez-Alvarado
- Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel Hu
- Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Sonali E Feeley
- Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Kristina Allen-Brady
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Robert Z Tashjian
- Department of Orthopaedics, University of Utah, Salt Lake City, UT, USA.
| | - Brian T Feeley
- Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, CA, USA
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Gavile CM, Kazmers NH, Novak KA, Meeks HD, Yu Z, Thomas JL, Hansen C, Barker T, Jurynec MJ. Familial Clustering and Genetic Analysis of Severe Thumb Carpometacarpal Joint Osteoarthritis in a Large Statewide Cohort. J Hand Surg Am 2022; 47:923-933. [PMID: 36184273 PMCID: PMC9547951 DOI: 10.1016/j.jhsa.2022.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/29/2022] [Accepted: 08/04/2022] [Indexed: 02/02/2023]
Abstract
PURPOSE Our goals were to identify individuals who required surgery for thumb carpometacarpal (CMC) joint osteoarthritis (OA), determine if CMC joint OA clusters in families, define the magnitude of familial risk of CMC joint OA, identify risk factors associated with CMC joint OA, and identify rare genetic variants that segregate with familial CMC joint OA. METHODS We searched the Utah Population Database to identify a cohort of CMC joint OA patients who required surgery. Affected individuals were mapped to pedigrees to identify high-risk families with excess clustering of CMC joint OA. Cox regression models were used to calculate familial risk of CMC joint OA in related individuals. Risk factors were evaluated using logistic regression models. Whole exome sequencing was used to identify rare coding variants associated with familial CMC joint OA. RESULTS We identified 550 pedigrees with excess clustering of severe CMC joint OA. The relative risk of CMC joint OA requiring surgical treatment was elevated significantly in first- and third-degree relatives of affected individuals, and significant associations with advanced age, female sex, obesity, and tobacco use were observed. We discovered candidate genes that dominantly segregate with severe CMC joint OA in 4 independent families, including a rare variant in Chondroitin Sulfate Synthase 3 (CHSY3). CONCLUSIONS Familial clustering of severe CMC joint OA was observed in a statewide population. Our data indicate that genetic and environmental factors contribute to the disease process, further highlighting the multifactorial nature of the disease. Genomic analyses suggest distinct biological processes are involved in CMC joint OA pathogenesis. CLINICAL RELEVANCE Awareness of associated comorbidities may guide the diagnosis of CMC joint OA in at-risk populations and help identify individuals who may not do well with nonoperative treatment. Further pursuit of the genes associated with severe CMC joint OA may lead to assays for detection of early stages of disease and have therapeutic potential.
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Affiliation(s)
| | | | - Kendra A Novak
- Department of Orthopaedics, University of Utah, Salt Lake City, UT
| | - Huong D Meeks
- Huntsman Cancer Institute, Utah Population Database, University of Utah, Salt Lake City, UT
| | - Zhe Yu
- Huntsman Cancer Institute, Utah Population Database, University of Utah, Salt Lake City, UT
| | - Joy L Thomas
- Intermountain Healthcare, Precision Genomics, St. George, UT
| | - Channing Hansen
- Intermountain Healthcare, Biorepository, South Salt Lake City, UT
| | - Tyler Barker
- Department of Orthopaedics, University of Utah, Salt Lake City, UT; Intermountain Healthcare, Precision Genomics, Murray, UT; Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT
| | - Michael J Jurynec
- Department of Orthopaedics, University of Utah, Salt Lake City, UT; Department of Human Genetics, University of Utah, Salt Lake City, UT.
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Jurynec MJ, Gavile CM, Honeggar M, Ma Y, Veerabhadraiah SR, Novak KA, Hoshijima K, Kazmers NH, Grunwald DJ. NOD/RIPK2 signalling pathway contributes to osteoarthritis susceptibility. Ann Rheum Dis 2022; 81:1465-1473. [PMID: 35732460 PMCID: PMC9474725 DOI: 10.1136/annrheumdis-2022-222497] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 06/07/2022] [Indexed: 12/21/2022]
Abstract
OBJECTIVES How inflammatory signalling contributes to osteoarthritis (OA) susceptibility is undetermined. An allele encoding a hyperactive form of the Receptor Interacting Protein Kinase 2 (RIPK2) proinflammatory signalling intermediate has been associated with familial OA. To test whether altered nucleotide-binding oligomerisation domain (NOD)/RIPK2 pathway activity causes heightened OA susceptibility, we investigated whether variants affecting additional pathway components are associated with familial OA. To determine whether the Ripk2104Asp disease allele is sufficient to account for the familial phenotype, we determined the effect of the allele on mice. METHODS Genomic analysis of 150 independent families with dominant inheritance of OA affecting diverse joints was used to identify coding variants that segregated strictly with occurrence of OA. Genome editing was used to introduce the OA-associated RIPK2 (p.Asn104Asp) allele into the genome of inbred mice. The consequences of the Ripk2104Asp disease allele on physiology and OA susceptibility in mice were measured by histology, immunohistochemistry, serum cytokine levels and gene expression. RESULTS We identified six novel variants affecting components of the NOD/RIPK2 inflammatory signalling pathway that are associated with familial OA affecting the hand, shoulder or foot. The Ripk2104Asp allele acts dominantly to alter basal physiology and response to trauma in the mouse knee. Whereas the knees of uninjured Ripk2Asp104 mice appear normal histologically, the joints exhibit a set of marked gene expression changes reminiscent of overt OA. Although the Ripk2104Asp mice lack evidence of chronically elevated systemic inflammation, they do exhibit significantly increased susceptibility to post-traumatic OA (PTOA). CONCLUSIONS Two types of data support the hypothesis that altered NOD/RIPK2 signalling confers susceptibility to OA.
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Affiliation(s)
- Michael J Jurynec
- Department of Orthopaedics, University of Utah Health, Salt Lake City, Utah, USA
- Department of Human Genetics, University of Utah Health, Salt Lake City, Utah, USA
| | - Catherine M Gavile
- Department of Orthopaedics, University of Utah Health, Salt Lake City, Utah, USA
| | - Matthew Honeggar
- Department of Orthopaedics, University of Utah Health, Salt Lake City, Utah, USA
| | - Ying Ma
- Department of Orthopaedics, University of Utah Health, Salt Lake City, Utah, USA
| | | | - Kendra A Novak
- Department of Orthopaedics, University of Utah Health, Salt Lake City, Utah, USA
| | - Kazuyuki Hoshijima
- Department of Human Genetics, University of Utah Health, Salt Lake City, Utah, USA
| | - Nikolas H Kazmers
- Department of Orthopaedics, University of Utah Health, Salt Lake City, Utah, USA
| | - David J Grunwald
- Department of Human Genetics, University of Utah Health, Salt Lake City, Utah, USA
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Expanding the clinical spectrum of COL2A1 related disorders by a mass like phenotype. Sci Rep 2022; 12:4489. [PMID: 35296718 PMCID: PMC8927422 DOI: 10.1038/s41598-022-08476-7] [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: 12/17/2021] [Accepted: 03/04/2022] [Indexed: 11/16/2022] Open
Abstract
MASS phenotype is a connective tissue disorder clinically overlapping with Marfan syndrome and caused by pathogenic variants in FBN1. We report four patients from three families presenting with a MASS-like phenotype consisting of tall stature, arachnodactyly, spinal deformations, dural ectasia, pectus and/or feet deformations, osteoarthritis, and/or high arched palate. Gene panel sequencing was negative for FBN1 variants. However, it revealed likely pathogenic missense variants in three individuals [c.3936G > T p.(Lys1312Asn), c.193G > A p.(Asp65Asn)] and a missense variant of unknown significance in the fourth patient [c.4013G > A p.(Ser1338Asn)] in propeptide coding regions of COL2A1. Pathogenic COL2A1 variants are associated with type II collagenopathies comprising a remarkable clinical variablility. Main features include skeletal dysplasia, ocular anomalies, and auditory defects. A MASS-like phenotype has not been associated with COL2A1 variants before. Thus, the identification of likely pathogenic COL2A1 variants in our patients expands the phenotypic spectrum of type II collagenopathies and suggests that a MASS-like phenotype can be assigned to various hereditary disorders of connective tissue. We compare the phenotypes of our patients with related disorders of connective tissue and discuss possible pathomechanisms and genotype–phenotype correlations for the identified COL2A1 variants. Our data recommend COL2A1 sequencing in FBN1-negative patients suggestive for MASS/Marfan-like phenotype (without aortopathy).
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Li P, Wang A, Li J, Li X, Sun W, Liu Q. COL2A1 Mutation (c.611G>C) Leads to Early-Onset Osteoarthritis in a Chinese Family. Int J Gen Med 2021; 14:2569-2574. [PMID: 34168485 PMCID: PMC8217077 DOI: 10.2147/ijgm.s310050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 05/12/2021] [Indexed: 11/23/2022] Open
Abstract
Mutations in the gene coding collagen type II α1 chain (COL2A1) are associated with a series of human disorders mainly involving the skeletal system. Here, we describe the second family with COL2A1 mutation, c.611G>C, Gly204Ala, leading to a replacement of glycine in the core triple helical (Gly-X-Y) domain of COL2A1 gene. The replacements of glycine in every third position of the triple with other amino acids will cause failure in the structure of type II collagen. The affected family members manifested early-onset osteoarthritis involving multiple joints. We propose that the COL2A1 gene should be taken into consideration for genetic counseling for patients with hereditary premature osteoarthritis and individuals carrying this mutation should receive early interventions for osteoarthritis.
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Affiliation(s)
- Pengyu Li
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, People's Republic of China.,Department of Medical Genetics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Anran Wang
- Department of Medical Genetics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Jiangxia Li
- Department of Medical Genetics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Xi Li
- Department of Medical Genetics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Wenjie Sun
- Department of Medical Genetics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Qiji Liu
- Department of Medical Genetics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
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