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Mei L, Zhang Z, Chen R, Li Z. Phenome-wide causal associations between osteoarthritis and other complex traits through the latent causal variable analysis. BMC Musculoskelet Disord 2024; 25:238. [PMID: 38532343 DOI: 10.1186/s12891-024-07360-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 03/15/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Individuals with osteoarthritis present with comorbidities, and the potential causal associations remain incompletely elucidated. The present study undertook a large-scale investigation about the causality between osteoarthritis and variable traits, using the summary-level data of genome-wide association studies (GWAS). METHODS The present study included the summary-level GWS data of knee osteoarthritis, hip osteoarthritis, hip or knee osteoarthritis, hand osteoarthritis, and other 1355 traits. Genetic correlation analysis was conducted between osteoarthritis and other traits through cross-trait bivariate linkage disequilibrium score regression. Subsequently, latent causal variable analysis was performed to explore the causal association when there was a significant genetic correlation. Genetic correlation and latent causal variable analysis were conducted on the Complex Traits Genomics Virtual Lab platform ( https://vl.genoma.io/ ). RESULTS We found 133 unique phenotypes showing causal relationships with osteoarthritis. Our results confirmed several well-established risk factors of osteoarthritis, such as obesity, weight, BMI, and meniscus derangement. Additionally, our findings suggested putative causal links between osteoarthritis and multiple factors. Socioeconomic determinants such as occupational exposure to dust and diesel exhaust, extended work hours exceeding 40 per week, and unemployment status were implicated. Furthermore, our analysis revealed causal associations with cardiovascular and metabolic disorders, including heart failure, deep venous thrombosis, type 2 diabetes mellitus, and elevated cholesterol levels. Soft tissue and musculoskeletal disorders, such as hallux valgus, internal derangement of the knee, and spondylitis, were also identified to be causally related to osteoarthritis. The study also identified the putative causal associations of osteoarthritis with digestive and respiratory diseases, such as Barrett's esophagus, esophagitis, and asthma, as well as psychiatric conditions including panic attacks and manic or hyperactive episodes. Additionally, we observed osteoarthritis causally related to pharmacological treatments, such as the use of antihypertensive medications, anti-asthmatic drugs, and antidepressants. CONCLUSION Our study uncovered a wide range of traits causally associated with osteoarthritis. Further studies are needed to validate and illustrate the detailed mechanism of those causal associations.
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Affiliation(s)
- Lin Mei
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Zhiming Zhang
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Ruiqi Chen
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Zhihong Li
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China.
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Lemmetyinen RE, Toppila-Salmi SK, But A, Renkonen R, Pekkanen J, Haukka J, Karjalainen J. Comorbidities associated with adult asthma: a population-based matched cohort study in Finland. BMJ Open Respir Res 2024; 11:e001959. [PMID: 38485249 PMCID: PMC10941122 DOI: 10.1136/bmjresp-2023-001959] [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: 07/17/2023] [Accepted: 02/29/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Asthma is a common chronic disease characterised by variable respiratory symptoms and airflow limitation, affecting roughly 4%-10% of the adult population. Adult asthma is associated with higher all-cause mortality compared to individuals without asthma. In this study, we investigate the comorbidities that may affect the management of asthma. METHODS Total of 1648 adults with asthma and 3310 individuals without asthma aged 30-93 were matched with age, gender and area of residency, and followed from 1 January 1997 to 31 December 2013. Baseline information was collected with questionnaires 1997 and follow-up register data from the national discharge registry Finnish Institute for Health and Welfare. Data included diagnoses from outpatient care and day surgery of specialised health care, and data from inpatient care of specialised and primary health care. We included all main diagnoses that had at minimum 200 events and number of diagnoses based on their common appearance with adult asthma. RESULTS The mean follow-up time varied between 14.2 and 15.1 years, and age at the time of enrolment was 53.9 years for subjects without asthma and 54.4 years for patients with asthma. Chronic obstructive pulmonary disease was 10 times more common among asthmatics. Risk of acute rhinosinusitis, chronic rhinosinusitis with nasal polyps, atopic dermatitis and vocal cord dysfunction was fourfold and risk of pneumonia, and chronic rhinosinusitis was 2.5 times more common among asthmatics. Sleep apnoea, gastro-oesophageal reflux disease, diabetes, allergic rhinitis and dysfunctional breathing were twofold and cataract nearly twofold higher in the asthmatic group. Adult asthma was also significantly associated with musculoskeletal diseases, incontinence and bronchiectasis. CONCLUSIONS The most common and most severe comorbidity of adult asthma in this study was chronic obstructive pulmonary disease. Other common comorbidities of adult asthma include acute rhinosinusitis, chronic rhinosinusitis with nasal polyps, atopic dermatitis, allergic rhinitis, dysfunctional breathing, diabetes, pneumonia, sleep apnoea and gastro-oesophageal reflux disease.
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Affiliation(s)
- Riikka Emilia Lemmetyinen
- Department of Public Health and Inflammation Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sanna Katriina Toppila-Salmi
- Department of Otorhinolaryngology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
- Department of Allergy, Helsinki University Hospital, Helsinki, Uusimaa, Finland
| | - Anna But
- Department of Public Health, University of Helsinki, Helsinki, Uusimaa, Finland
| | - Risto Renkonen
- Haartman Institute, University of Helsinki, Helsinki, Finland
- HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Uusimaa, Finland
| | - Juha Pekkanen
- Department of Public Health and Inflammation Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Finnish Institute for Health and Welfare, Helsinki, Uusimaa, Finland
| | - Jari Haukka
- Public Health, University of Helsinki, Helsinki, Uusimaa, Finland
| | - Jussi Karjalainen
- Allergy Centre, University of Tampere, Tampere, Pirkanmaa, Finland
- Faculty of Medicine and Health Technology, University of Tampere, Tampere, Pirkanmaa, Finland
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Baker MC, Robinson WH, Ostrom Q. Genetic association between atopic disease and osteoarthritis. Osteoarthritis Cartilage 2024; 32:220-225. [PMID: 37951457 PMCID: PMC10843789 DOI: 10.1016/j.joca.2023.11.003] [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] [Received: 06/13/2023] [Revised: 10/12/2023] [Accepted: 11/06/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVES To evaluate the association between genetically determined risk for atopic disease and osteoarthritis (OA). METHODS We performed linkage disequilibrium (LD) score regression using 1000 Genomes Project European samples as a reference for patterns of genome-wide LD. Summary statistics for atopic disease traits were obtained from the UK Biobank. We generated a pairwise genetic correlation between OA and traits for atopic disease to estimate the genetic correlation between traits (rg) and heritability for each trait. The association between atopy-related traits and OA was examined using Mendelian randomization (MR) on summary statistics; we reported inverse-variance weighted (IVW), MR-Egger, maximum likelihood estimation, weighted median, and weighted mode. RESULTS There was a significant positive correlation between the genome-wide genetic architecture of asthma and all OA traits. Using the IVW (random effects), there was a significant association between asthma and knee OA ((odds ratio) OR = 1.04, 95% (confidence interval) CI 1.01-1.08, p = 0.0169). Using IVW (fixed effects), significant associations were identified between knee OA and allergic disease (OR = 1.07, 95% CI 1.01-1.14, p = 0.0342), allergic rhinitis (OR = 1.07, 95% CI 1.00-1.13, p = 0.0368), and asthma (OR = 1.04, 95% CI 1.01-1.07, p = 0.0139), as well as for OA at any site and asthma (OR = 1.02, 95% CI 1.00-1.04, p = 0.0166). CONCLUSIONS We found a significant correlation between the overall genetic architecture of asthma and OA, as well as an increased risk of developing OA in patients with genetic variants associated with asthma and allergic rhinitis; predominately, this risk was for the development of knee OA. These results support a causal relationship between asthma and/or allergic rhinitis and knee OA.
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Affiliation(s)
- Matthew C Baker
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA.
| | - William H Robinson
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA.
| | - Quinn Ostrom
- Department of Neurosurgery, The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, NC, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
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Mocci E, Ward K, Perry JA, Starkweather A, Stone LS, Schabrun SM, Renn C, Dorsey SG, Ament SA. Genome wide association joint analysis reveals 99 risk loci for pain susceptibility and pleiotropic relationships with psychiatric, metabolic, and immunological traits. PLoS Genet 2023; 19:e1010977. [PMID: 37844115 PMCID: PMC10602383 DOI: 10.1371/journal.pgen.1010977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 10/26/2023] [Accepted: 09/14/2023] [Indexed: 10/18/2023] Open
Abstract
Chronic pain is at epidemic proportions in the United States, represents a significant burden on our public health system, and is coincident with a growing opioid crisis. While numerous genome-wide association studies have been reported for specific pain-related traits, many of these studies were underpowered, and the genetic relationship among these traits remains poorly understood. Here, we conducted a joint analysis of genome-wide association study summary statistics from seventeen pain susceptibility traits in the UK Biobank. This analysis revealed 99 genome-wide significant risk loci, 65 of which overlap loci identified in earlier studies. The remaining 34 loci are novel. We applied leave-one-trait-out meta-analyses to evaluate the influence of each trait on the joint analysis, which suggested that loci fall into four categories: loci associated with nearly all pain-related traits; loci primarily associated with a single trait; loci associated with multiple forms of skeletomuscular pain; and loci associated with headache-related pain. Overall, 664 genes were mapped to the 99 loci by genomic proximity, eQTLs, and chromatin interaction and ~15% of these genes showed differential expression in individuals with acute or chronic pain compared to healthy controls. Risk loci were enriched for genes involved in neurological and inflammatory pathways. Genetic correlation and two-sample Mendelian randomization indicated that psychiatric, metabolic, and immunological traits mediate some of these effects.
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Affiliation(s)
- Evelina Mocci
- Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America
- Center to Advance Chronic Pain Research (CACPR), University of Maryland Baltimore, Baltimore, Maryland, United States of America
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Kathryn Ward
- Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America
| | - James A. Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Angela Starkweather
- Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainesville, Florida, United States of America
| | - Laura S. Stone
- Department of Anesthesiology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
| | - Siobhan M. Schabrun
- School of Physical Therapy, University of Western Ontario, London, Ontario, Canada
| | - Cynthia Renn
- Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America
- Center to Advance Chronic Pain Research (CACPR), University of Maryland Baltimore, Baltimore, Maryland, United States of America
| | - Susan G. Dorsey
- Department of Pain & Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, United States of America
- Center to Advance Chronic Pain Research (CACPR), University of Maryland Baltimore, Baltimore, Maryland, United States of America
| | - Seth A. Ament
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
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Yan J, Zhang Y, Zhang X, Chen G, Wei D, Duan K, Li Z, Peng L, Liu J, Li Z, Liu Y. Increased Risk of Rheumatoid Arthritis in Patients With Asthma: A Genetic Association Study Using Two-Sample Mendelian Randomization Analysis. Arthritis Care Res (Hoboken) 2023. [PMID: 37465942 DOI: 10.1002/acr.25193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/23/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVE Observational studies have explored the association between asthma and some types of arthritis, including rheumatoid arthritis and osteoarthritis, but the results are largely contradictory. We aimed to investigate the causal effects of asthma on arthritis, including osteoarthritis, rheumatoid arthritis, gout, and ankylosing spondylitis. METHODS Two-sample Mendelian randomization (MR) analysis was used to investigate the causal effects of asthma on each arthritis. The genetic instruments for asthma were obtained from a large genome-wide association study of asthma. The inverse-variance weighted (IVW) method was used as the main analysis of MR. Bonferroni-adjusted P value threshold was used to account for multiple comparisons. RESULTS MR-IVW analysis suggested that adult-onset asthma (AOA) was associated with increased risk of rheumatoid arthritis. The odds ratio for rheumatoid arthritis associated with AOA and childhood-onset asthma (COA) were 1.018 (95% confidence interval [95% CI], 1.011-1.025; P < 0.001) and 1.006 (95% CI 1.001-1.012; P = 0.046), respectively. For osteoarthritis, gout, or ankylosing spondylitis, all the MR analyses showed no significant causal effects of AOA or COA on them. We also performed a reverse MR analysis to explore the causal effects of rheumatoid on all asthma, allergic asthma, or nonallergic asthma and found no significant causal effects on them. CONCLUSION Genetically predicted AOA predisposes patients to an increased risk of rheumatoid arthritis but has no causal effects on osteoarthritis, gout, and ankylosing spondylitis. The result of COA on rheumatoid arthritis is suggestive of potential causal relationship but needs to be confirmed in further studies.
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Affiliation(s)
- Jiyuan Yan
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yi Zhang
- Southwest Medical University, Luzhou, Sichuan, China
| | - Xiaofei Zhang
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Ge Chen
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Daiqing Wei
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Ke Duan
- Sichuan Provincial Laboratory of Orthopaedic Engineering, Luzhou, Sichuan, China
| | - Zheng Li
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Lin Peng
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Jialin Liu
- The Affiliated Stomatology Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Zhong Li
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yanshi Liu
- The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
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Kamps A, Runhaar J, de Ridder MAJ, de Wilde M, van der Lei J, Zhang W, Prieto-Alhambra D, Englund M, de Schepper EIT, Bierma-Zeinstra SMA. Comorbidity in incident osteoarthritis cases and matched controls using electronic health record data. Arthritis Res Ther 2023; 25:114. [PMID: 37403135 PMCID: PMC10318652 DOI: 10.1186/s13075-023-03086-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 06/04/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Comorbidities are common in patients with osteoarthritis (OA). This study aimed to determine the association of a wide range of previously diagnosed comorbidities in adults with newly diagnosed OA compared with matched controls without OA. METHODS A case-control study was conducted. The data were derived from an electronic health record database that contains the medical records of patients from general practices throughout the Netherlands. Incident OA cases were defined as patients with one or more diagnostic codes recorded in their medical records that correspond to knee, hip, or other/peripheral OA. Additionally, the first OA code had to be recorded between January 1, 2006, and December 31, 2019. The date of cases' first OA diagnosis was defined as the index date. Cases were matched (by age, sex, and general practice) to up to 4 controls without a recorded OA diagnosis. Odds ratios were derived for each 58 comorbidities separately by dividing the comorbidity prevalence of cases by that of their matched controls at the index date. RESULTS 80,099 incident OA patients were identified of whom 79,937 (99.8%) were successfully matched with 318,206 controls. OA cases had higher odds for 42 of the 58 studied comorbidities compared with matched controls. Musculoskeletal diseases and obesity showed large associations with incident OA. CONCLUSIONS Most of the comorbidities under study had higher odds in patients with incident OA at the index date. While previously known associations were confirmed in this study, some associations were not described earlier.
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Affiliation(s)
- Anne Kamps
- Department of General Practice, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands.
| | - Jos Runhaar
- Department of General Practice, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
| | - Maria A J de Ridder
- Department of Medical Informatics, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
| | - Marcel de Wilde
- Department of Medical Informatics, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
| | - Johan van der Lei
- Department of Medical Informatics, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
| | - Weiya Zhang
- School of Medicine, Faculty of Medicine & Health Sciences, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2HA, UK
| | - Daniel Prieto-Alhambra
- Department of Medical Informatics, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Windmill Road, Headington, OX3 7HE, Oxford, UK
| | - Martin Englund
- Clinical Epidemiology Unit, Orthopaedics, Department of Clinical Sciences, Lund University, Wigerthuset, Remissgatan 4, 22185, Lund, Sweden
| | - Evelien I T de Schepper
- Department of General Practice, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
- Department of Orthopaedics and Sports Medicine, Erasmus MC, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands
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Romo-Nava F, Blom T, Cuellar-Barboza AB, Barrera FJ, Miola A, Mori NN, Prieto ML, Veldic M, Singh B, Gardea-Resendez M, Nunez NA, Ozerdem A, Biernacka JM, Frye MA, McElroy SL. Clinical characterization of patients with bipolar disorder and a history of asthma: An exploratory study. J Psychiatr Res 2023; 164:8-14. [PMID: 37290273 DOI: 10.1016/j.jpsychires.2023.05.061] [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: 12/09/2022] [Revised: 04/07/2023] [Accepted: 05/16/2023] [Indexed: 06/10/2023]
Abstract
INTRODUCTION Bipolar disorder (BD) and asthma are leading causes of morbidity in the US and frequently co-occur. OBJECTIVES We evaluated the clinical features and comorbidities of patients with BD and a history of asthma. METHODS In a cross-sectional analysis from the Mayo Clinic Bipolar Biobank, we explored the clinical characteristics of the BD and an asthma phenotype and fitted a multivariable regression model to identify risk factors for asthma. RESULTS A total of 721 individuals with BD were included. From these, 140 (19%) had a history of asthma. In a multivariable model only sex and evening chronotype were significant predictors of asthma with the odds ratios and 95% confidence intervals being 1.65 (1.00, 2.72; p=0.05) and 1.99 (1.25, 3.17; p < 0.01), respectively. Individuals with asthma had higher odds of having other medical comorbidities after adjusting for age, sex, and site including hypertension (OR = 2.29 (95% CI 1.42, 3.71); p < 0.01), fibromyalgia (2.29 (1.16, 4.51); p=0.02), obstructive sleep apnea (2.03 (1.18, 3.50); p=0.01), migraine (1.98 (1.31, 3.00); p < 0.01), osteoarthritis (2.08 (1.20, 3.61); p < 0.01), and COPD (2.80 (1.14, 6.84); p=0.02). Finally, individuals currently on lithium were less likely to have a history of asthma (0.48 (0.32, 0.71); p < 0.01). CONCLUSION A history of asthma is common among patients with BD and is associated with being female and having an evening chronotype, as well as with increased odds of having other medical comorbidities. A lower likelihood of a history of asthma among those currently on lithium is an intriguing finding with potential clinical implications that warrants further study.
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Affiliation(s)
- Francisco Romo-Nava
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Thomas Blom
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Alfredo B Cuellar-Barboza
- Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico; Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Francisco J Barrera
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alessandro Miola
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Nicole N Mori
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Miguel L Prieto
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Center for Biomedical Research and Innovation, Universidad de los Andes, Santiago, Chile; Department of Psychiatry, Faculty of Medicine, Universidad de los Andes, Santiago, Chile; Mental Health Service, Clínica Universidad de los Andes, Santiago, Chile
| | - Marin Veldic
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Balwinder Singh
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Manuel Gardea-Resendez
- Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico; Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Nicolas A Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Joanna M Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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8
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Baker MC, Sheth K, Lu R, Lu D, von Kaeppler EP, Bhat A, Felson DT, Robinson WH. Increased risk of osteoarthritis in patients with atopic disease. Ann Rheum Dis 2023; 82:866-872. [PMID: 36987654 PMCID: PMC10314085 DOI: 10.1136/ard-2022-223640] [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: 11/17/2022] [Accepted: 02/16/2023] [Indexed: 03/29/2023]
Abstract
OBJECTIVES To determine the incidence of osteoarthrits (OA) in patients with atopic disease compared with matched non-exposed patients. METHODS We conducted a retrospective cohort study with propensity score matching using claims data from Optum's de-identified Clinformatics Data Mart (CDM) (January 2003 to June 2019) and electronic health record data from the Stanford Research Repository (STARR) (January 2010 to December 2020). We included adult patients without pre-existing OA or inflammatory arthritis who were exposed to atopic disease or who were non-exposed. The primary outcome was the development of incident OA. RESULTS In Optum CDM, we identified 117 346 exposed patients with asthma or atopic dermatitis (mean age 52 years; 60% female) and 1 247 196 non-exposed patients (mean age 50 years; 48% female). After propensity score matching (n=1 09 899 per group), OA incidence was higher in patients with asthma or atopic dermatitis (26.9 per 1000 person-years) compared with non-exposed patients (19.1 per 1000 person-years), with an adjusted odds ratio (aOR) of 1.58 (95% CI 1.55 to 1.62) for developing OA. This effect was even more pronounced in patients with both asthma and atopic dermatitis compared with non-exposed patients (aOR=2.15; 95% CI 1.93 to 2.39) and in patients with asthma compared with patients with chronic obstructive pulmonary disease (aOR=1.83; 95% CI 1.73 to 1.95). We replicated our results in an independent dataset (STARR), which provided the added richness of body mass index data. The aOR of developing OA in patients with asthma or atopic dermatitis versus non-exposed patients in STARR was 1.42 (95% CI 1.36 to 1.48). CONCLUSIONS This study demonstrates an increased incidence of OA in patients with atopic disease. Future interventional studies may consider targeting allergic pathways for the prevention or treatment of OA.
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Affiliation(s)
- Matthew C Baker
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, California, USA
| | - Khushboo Sheth
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, California, USA
- Chinook Therapeutics Inc, Berkeley, California, USA
| | - Rong Lu
- Quantitative Sciences Unit, Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
| | - Di Lu
- Quantitative Sciences Unit, Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
| | - Ericka P von Kaeppler
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA
| | - Archana Bhat
- Research Informatics Center, Stanford University, Stanford, California, USA
| | - David T Felson
- Section of Rheumatology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - William H Robinson
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, California, USA
- Division of Rheumatology, Palo Alto VA Medical Center, Palo Alto, California, USA
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9
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Kamps A, Runhaar J, de Ridder MAJ, de Wilde M, van der Lei J, Zhang W, Prieto-Alhambra D, Englund M, de Schepper EIT, Bierma-Zeinstra SMA. Occurrence of comorbidity following osteoarthritis diagnosis: a cohort study in the Netherlands. Osteoarthritis Cartilage 2023; 31:519-528. [PMID: 36528309 DOI: 10.1016/j.joca.2022.12.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/18/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To determine the risk of comorbidity following diagnosis of knee or hip osteoarthritis (OA). DESIGN A cohort study was conducted using the Integrated Primary Care Information database, containing electronic health records of 2.5 million patients from the Netherlands. Adults at risk for OA were included. Diagnosis of knee or hip OA (=exposure) and 58 long-term comorbidities (=outcome) were defined by diagnostic codes following the International Classification of Primary Care coding system. Time between the start of follow-up and incident diagnosis of OA was defined as unexposed, and between diagnosis of OA and the end of follow-up as exposed. Age and sex adjusted hazard ratios (HRs) comparing comorbidity rates in exposed and unexposed patient time were estimated with 99.9% confidence intervals (CI). RESULTS The study population consisted of 1,890,712 patients. For 30 of the 58 studied comorbidities, exposure to knee OA showed a HR larger than 1. Largest positive associations (HR with (99.9% CIs)) were found for obesity 2.55 (2.29-2.84) and fibromyalgia 2.06 (1.53-2.77). For two conditions a HR < 1 was found, other comorbidities showed no association with exposure to knee OA. For 26 comorbidities, exposure to hip OA showed a HR larger than 1. The largest were found for polymyalgia rheumatica 1.81 (1.41-2.32) and fibromyalgia 1.70 (1.10-2.63). All other comorbidities showed no associations with hip OA. CONCLUSION This study showed that many comorbidities were diagnosed more often in patients with knee or hip OA. This suggests that the management of OA should consider the risk of other long-term-conditions.
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Affiliation(s)
- A Kamps
- Department of General Practice, Erasmus MC, Rotterdam, the Netherlands.
| | - J Runhaar
- Department of General Practice, Erasmus MC, Rotterdam, the Netherlands.
| | - M A J de Ridder
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands.
| | - M de Wilde
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands.
| | - J van der Lei
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands.
| | - W Zhang
- School of Medicine, Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom.
| | - D Prieto-Alhambra
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands; Nuffield Department of Orthopedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom.
| | - M Englund
- Clinical Epidemiology Unit, Orthopedics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
| | - E I T de Schepper
- Department of General Practice, Erasmus MC, Rotterdam, the Netherlands.
| | - S M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC, Rotterdam, the Netherlands; Department of Orthopedics and Sports Medicine, Erasmus MC, Rotterdam, the Netherlands.
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Ni J, Huang JX, Wang P, Huang YX, Yin KJ, Tian T, Cen H, Sui C, Pan HF. Arthritis and incident pulmonary diseases in middle-aged and elderly Chinese: a longitudinal population-based study. Clin Rheumatol 2023; 42:687-693. [PMID: 36198932 DOI: 10.1007/s10067-022-06396-5] [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: 06/05/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND The coexistence of arthritis and pulmonary abnormalities has long been observed, but the causal inter-relationships among them are still uncertain especially in elderly adults. METHODS We extracted data from The China Health and Retirement Longitudinal Study (CHARLS). A total of 7534 participants without chronic lung diseases or/and asthma at the baseline and have complete follow-up information were included. Multivariate Cox proportional hazards models were used to estimate the adjusted hazard ratios (HRs) for developing chronic lung diseases or asthma. We also utilized generalized linear models to examine the association between arthritis and baseline peak expiratory flow (PEF). RESULTS During 50,615 and 51,975 person-years of follow-up, 629 and 188 participants incident chronic lung diseases and asthma, respectively. Compared to those without arthritis, participants with arthritis had a higher risk of chronic lung diseases (HR = 1.54, 95%CI = 1.31-1.81, P = 1.23 × 10-7) and asthma (HR = 1.70, 95%CI = 1.27-2.28, P = 3.78 × 10-4). Arthritis subjects demonstrated significantly lower PEF than those without arthritis [β = - 11.85 (95%CI = - 17.56, - 6.14), P = 4.81 × 10-5]. The results were stable after excluding these participates who incident chronic lung diseases or asthma in the first 1 year of follow-up. CONCLUSION Arthritis increased the risk of pulmonary diseases among middle-aged and elderly Chinese. Early detection and treatment of pulmonary abnormalities among arthritis patients could help decrease the mortality and reduce the global burden of arthritis. Key Points • The coexistence of arthritis and pulmonary abnormalities has long been observed, but whether arthritis status can trigger pulmonary disorders is still uncertain. • Arthritis status are associated with increased risk of pulmonary diseases (chronic lung diseases/asthma) among middle-aged and elderly Chinese. • Early detection and treatment of pulmonary abnormalities among arthritis patients could help decrease the mortality and reduce the global burden of arthritis.
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Affiliation(s)
- Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Ji-Xiang Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Peng Wang
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yi-Xuan Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Kang-Jia Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Tian Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Han Cen
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Cong Sui
- Department of Orthopedics Trauma, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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11
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Nie Y, Liu H, Wang J, Yang Y, Zhao W, Chen D, Li Y. Systemic evaluation of the relationship between asthma and osteoarthritis: Evidence from a meta-analysis and Mendelian randomization study. Digit Health 2023; 9:20552076231203648. [PMID: 37744746 PMCID: PMC10515552 DOI: 10.1177/20552076231203648] [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] [Accepted: 09/11/2023] [Indexed: 09/26/2023] Open
Abstract
Objective Osteoarthritis (OA) and asthma are two common chronic diseases with increasing incidence and prevalence, whereas there has been rare evidence to suggest the relationship between OA and asthma. This study aimed to analyze the causal relationship between OA and asthma. Methods Existing studies of the relationship between asthma and OA published till July 18, 2023, were identified from PubMed and Web of Science databases for meta-analysis. Subsequently, the causal relationship of all and site-specific OA with asthma was explored through a bidirectional two-sample Mendelian randomization (MR) analysis. Results A total of four eligible studies were included in the meta-analysis. In these studies, 80,550 participants were recruited, of whom 13,781 patients had OA. The asthma group had a significantly higher prevalence of OA than the control group (odds ratio (OR) = 2.08; 95% confidence intervals (CI): 1.42-3.03). However, MR analysis did not support a causal relationship between asthma and all OA and site-specific OA: knee and hip OA (OR = 1.03; 95% CI: 0.98-1.09), knee OA (OR = 1.02; 95% CI:0.96-1.08), and hip OA (OR = 1.04; 95% CI: 0.97-1.12). No causal relationship between OA and asthma was found through reverse MR analysis. Conclusions This meta-analysis suggests that patients with asthma are likely to have a greater prevalence of OA. However, the result of MR analysis reveals that asthma does not have a causal relationship to all OA or site-specific OA.
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Affiliation(s)
- Yaoyao Nie
- Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Houpu Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Jing Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Ye Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Wenxia Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Dingwan Chen
- Zhejiang Provincial Health Research Center, Hangzhou Medical College, Hangzhou, China
| | - Yingjun Li
- Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, China
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12
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Kim SK, Kwak SG, Choe JY. Decline of Lung Function in Knee and Spine Osteoarthritis in the Korean Population: Cross-Sectional Analysis of Data from the Korea National Health and Nutrition Examination Survey. Healthcare (Basel) 2022; 10:healthcare10040736. [PMID: 35455913 PMCID: PMC9027391 DOI: 10.3390/healthcare10040736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 04/01/2022] [Accepted: 04/13/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Evidence on the close association between osteoarthritis (OA) and lung diseases is supported by the shared pathogenesis of the two diseases. We assessed the association between knee and spine OA and chronic obstructive pulmonary disease (COPD) in the Korean population. Methods: Using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2012, a total of 2006 subjects who underwent both plain radiography for assessment of knee and lumbar spine and spirometry analysis for lung function were analyzed. Radiographic severity grade for OA was assessed using the Kellgren−Lawrence (K-L) grading scale. COPD was defined as a ratio of forced expiratory volume in one second (FEV1) to forced vital capacity (FVC) less than 0.7. Results: Subjects with spine OA had higher prevalence of COPD than controls (p < 0.001), but not knee OA (p = 0.990). FVC (L), FEV1 (L), and FVC/FEV1 (%) were significantly decreased in spine OA compared to in controls (p = 0.003, p < 0.001, and p < 0.001, respectively). FVC (L), FVC (%), FEV1 (L), and FEV1 (%) were significantly different between knee OA and controls. Univariate regression analysis showed that spine OA was significantly associated with COPD (OR 1.581, 95% CI 1.204−2.076, p = 0.001), but not knee OA. Multivariate analysis revealed that spine OA lost statistical significance for COPD. Conclusion: This study found that subjects with knee OA and spine OA had a decline of lung function compared to subjects without OA, although OA was not associated with COPD.
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Affiliation(s)
- Seong-Kyu Kim
- Division of Rheumatology, Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu 42472, Korea;
- Correspondence: ; Tel.: +82-53-6503465; Fax: +82-53-6298248
| | - Sang Gyu Kwak
- Department of Medical Statistics, Catholic University of Daegu School of Medicine, Daegu 42472, Korea;
| | - Jung-Yoon Choe
- Division of Rheumatology, Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu 42472, Korea;
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Dietert RR. Microbiome First Medicine in Health and Safety. Biomedicines 2021; 9:biomedicines9091099. [PMID: 34572284 PMCID: PMC8468398 DOI: 10.3390/biomedicines9091099] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/16/2021] [Accepted: 08/23/2021] [Indexed: 02/06/2023] Open
Abstract
Microbiome First Medicine is a suggested 21st century healthcare paradigm that prioritizes the entire human, the human superorganism, beginning with the microbiome. To date, much of medicine has protected and treated patients as if they were a single species. This has resulted in unintended damage to the microbiome and an epidemic of chronic disorders [e.g., noncommunicable diseases and conditions (NCDs)]. Along with NCDs came loss of colonization resistance, increased susceptibility to infectious diseases, and increasing multimorbidity and polypharmacy over the life course. To move toward sustainable healthcare, the human microbiome needs to be front and center. This paper presents microbiome-human physiology from the view of systems biology regulation. It also details the ongoing NCD epidemic including the role of existing drugs and other factors that damage the human microbiome. Examples are provided for two entryway NCDs, asthma and obesity, regarding their extensive network of comorbid NCDs. Finally, the challenges of ensuring safety for the microbiome are detailed. Under Microbiome-First Medicine and considering the importance of keystone bacteria and critical windows of development, changes in even a few microbiota-prioritized medical decisions could make a significant difference in health across the life course.
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Affiliation(s)
- Rodney R Dietert
- Department of Microbiology and Immunology, Cornell University, Ithaca, NY 14853, USA
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