The contribution of age and obesity to the number of painful joint sites in individuals reporting osteoarthritis: a population-based study

Badley, Elizabeth M.; Wilfong, Jessica M; Yip, Calvin; Millstone, Dov B.; Perruccio, Anthony V.

doi:10.1093/rheumatology/keaa138

Cited by 21 publications

(26 citation statements)

References 46 publications

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“…Obesity and OA are two common health problems in the world. The latest research has indicated that obesity affects the occurrence and development of OA [4][5][6][7]. Moreover, it has been revealed that obesity is a risk element for OA, especially in weight-bearing joints [8].…”

Section: Introductionmentioning

confidence: 99%

Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA)

Zhou

Sun

Jia

et al. 2022

Computational and Mathematical Methods in Medicine

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Background. Increasing evidence has suggested that obesity affects the occurrence and progression of osteoarthritis (OA). However, the underlying molecular mechanism that obesity affects the course of OA is not fully understood and remains to be studied. Methods. The gene expression profiles of the GSE117999 and GSE98460 datasets were derived from the Gene Expression Omnibus (GEO) database. Firstly, we explored the correlation between obesity and OA using chi-square test. Next, weighted gene coexpression network analysis (WGCNA) was executed to identify obesity patients with OA- (obesity OA-) related genes in the GSE117999 dataset by “WGCNA” package. Moreover, differential expression analysis was performed to select the hub genes by “limma” package. Furthermore, ingenuity pathway analysis (IPA) and functional enrichment analysis (“clusterProfiler” package) were conducted to investigate the functions of genes. Finally, the regulatory networks of hub genes and protein-protein interaction (PPI) network were created by the Cytoscape 3.5.1 software and STRING. Results. A total of 15 differentially expressed obesity OA-related genes, including 9 lncRNAs and 6 protein coding genes, were detected by overlapping 66 differentially expressed genes (DEGs) between normal BMI samples and obesity OA samples and 451 obesity OA-related genes. Moreover, CCR10, LENG8, QRFPR, UHRF1BP1, and HLA-DRB4 were identified as hub genes. IPA results indicated that the hub genes were noticeably enriched in antimicrobial response, inflammatory response, and humoral immune response. PPI network showed that CCR10 interacted more with other proteins. Gene set enrichment analysis (GSEA) indicated that the hub genes were related to protein translation, cancer, chromatin modification, antigen processing, and presentation. Conclusion. Our results further demonstrated the role of obesity in OA and might provide new targets for the treatment of obesity OA.

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Section: Introductionmentioning

confidence: 99%

Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA)

Zhou

Sun

Jia

et al. 2022

Computational and Mathematical Methods in Medicine

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“…Age and whether individuals suffered from LDH related to the severity of SIJ degeneration. It is well established that age is one of the most critical contributors to the degenerative change in the musculoskeletal system, while it is intriguing that LDH is as important as age in the model (28). Limited studies point out that SIJ degradation is relevant to BMI and gender, but this research did not detect any clue among these issues (12,29).…”

Section: Discussionmentioning

confidence: 55%

Lumbar Disc Herniation is a Nonnegligible Factor for the Degeneration of Sacroiliac Joints

et al. 2021

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Background: Sacroiliac joint (SIJ) abnormality is a potential source of low back pain (LBP), therefore numerous patients receive various treatments because of the degenerative changes of SIJ. However, the outcome is unfavorable for patients because these morphologic alterations are common but not the origins of LBP. Previous studies revealed lumbar fusion and transitional vertebra increased the prevalence of degeneration of SIJ. Lumbar disc herniation (LDH) is one of the most common lumbar diseases, but there is no study regarding the relationship between LDH and SIJ degradation. Objectives: The aim of this study was to investigate the severity of SIJ degeneration in patients with LBP with LDH. The relationship between degenerative changes of SIJ and LDH was also assessed. Study Design: Retrospective observational study. Setting: This study was conducted in 2 medical centers located in southeast and midwest China, respectively. Methods: Lumbar and pelvic computed tomography (CT) scans of patients with LDH (LDH group) from January 2016 to May 2020 were reviewed using a picture archiving and communication system. The control group was age, gender, and body mass index–matched patients with LBP without LDH. Patients underwent whole abdomen and pelvic CT examinations due to non-musculoskeletal disorders. Scores of SIJ degeneration were compared between patients with LDH and the control group. Differences in SIJ degeneration among patients with LDH with diverse characteristics, symptoms, and complications were also evaluated. Univariate and multivariate linear mixed model (LMM) was chosen to identify the factors associated with SIJ degeneration. Results: CT examinations of 782 patients with LDH were assessed, whereas 223 patients were in the control group. The SIJ degeneration score of the LDH group and control group were 6.00 (5.00) and 3.00 (4.00) (P < 0.05). Age and whether patients suffered from LDH were included in the LMM, which involved all reviewed patients (P < 0.05). Regarding the characteristics of LDH, the patients with more herniated discs had more severe SIJ degeneration. The score of SIJ degradation in patients with upper LDH was significantly higher than the other patients with LDH (12.00 [4.00] vs. 6.00 [4.00]; P < 0.05). Similarly, more significant SIJ degeneration was observed in patients with LDH who had secondary lumbar spinal stenosis (10.00 [4.00] vs. 5.00 [4.00]; P < 0.05). The scores of SIJ degradation were significantly greater in patients with LDH with sciatica, numbness, weakness, and/or cauda equina syndrome. Age and LDH were identified as associated factors for more serious degeneration of SIJ among patients with LDH. Limitations: The main limitation of this study was the retrospective observational nature. Hence our study described that SIJ degeneration was relevant to LDH, but the causal relationship was uncertain. Magnetic resonance imaging was not chosen in this study. Conclusions: The SIJ degeneration in patients with LDH was more serious than in individuals without LDH. SIJ degeneration was more significant in patients with LDH with more pathological alterations, symptoms, and complications. Age and LDH relate to SIJ degeneration. Therefore the diagnosis and selection of treatment for SIJ changes should comprehensively consider the coexistence of LDH. Key words: Lumbar disc herniation, low back pain, sacroiliac joint, degeneration, sciatica, numbness, weakness, cauda equina syndrome, computed tomography, linear mix model

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“…To investigate the possible impact of OA in other affected joints, we accessed data from the 2009 Survey on Living With Chronic Diseases in Canada, arthritis component (SLCDC‐A), a representative sample of Canadians reporting arthritis. Briefly, the sample for the SLCDC‐A (n = 4,565) was drawn from respondents age ≥20 years in the 2008 Canadian Community Health Survey (CCHS) who reported being told by a health professional that they had arthritis as a long‐term chronic condition (3,34). The SLCDC‐A included questions about pain, aching, or stiffness on most days in the last month due to arthritis at 11 joint sites (shoulder, elbow, wrist, hand/fingers/thumb, hip, knee, ankle, foot/toes, neck, back, and other joint sites) and about the type of their arthritis (3,34).…”

Section: Methodsmentioning

confidence: 99%

“…It is increasingly being recognized that osteoarthritis (OA) is a multi-joint disease. Population-based studies suggest that ≥70% of those affected have symptoms at >1 joint site (1)(2)(3), and clinical studies confirm the frequent co-occurrence of OA at different joint sites (4)(5)(6). However, most epidemiologic and clinical studies are predominantly concerned with OA of the knee, hip, or hand and refer to them as separate conditions, with little or no consideration of OA in other joints (7)(8)(9).…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Body Mass Index and Osteoarthritis for Single and Multisite Osteoarthritis of the Hand, Hip, or Knee: Findings From a Canadian Longitudinal Study on Aging

Badley

Zahid

Wilfong

et al. 2022

Arthritis Care & Research

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Objective To determine whether an apparent association between hand osteoarthritis (OA) and adiposity is explained by the presence of OA at other joint sites. Methods Data from the Canadian Longitudinal Study on Aging, first cycle, comprehensive cohort, were used. Respondents age 45–85 years (n = 18,279) were asked separate questions about doctor‐diagnosed OA in the hand, hip, or knee. Multinomial logistic regression was used to investigate the relationship between all combinations of hand, hip, and knee OA and body mass index (BMI) and waist‐to‐height ratio (WHtR). Results OA was reported by 34.6% of respondents, 28.0% with OA at >1 joint site. Hand OA was not significantly associated with BMI after accounting for OA at other joint sites, with similar findings for WHtR. All joint site combinations containing the knee were strongly associated with BMI, with odds ratios (ORs) ranging from OR 2.92 (95% confidence interval [95% CI] 2.53–3.37) for knee OA only with obesity class I to OR 9.98 (95% CI 7.12–13.88) for multi‐joint knee, hip, hand OA with obesity class II/III. BMI distributions including knee OA were broader and shifted to higher BMI levels than those for hand or hip OA. Conclusion Apparent associations between hand OA and BMI may be explained by concurrent OA at other joint sites. Recognizing that OA is a multi‐joint disease is crucial for studies of the associations of adiposity with OA in a particular joint, especially the hand. The association between knee OA and BMI appears to be distinct from those for OA at other joint sites.

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The contribution of age and obesity to the number of painful joint sites in individuals reporting osteoarthritis: a population-based study

Cited by 21 publications

References 46 publications

Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA)

Identification of Key Genes Related to the Obesity Patients with Osteoarthritis Based on Weighted Gene Coexpression Network Analysis (WGCNA)

Lumbar Disc Herniation is a Nonnegligible Factor for the Degeneration of Sacroiliac Joints

Relationship Between Body Mass Index and Osteoarthritis for Single and Multisite Osteoarthritis of the Hand, Hip, or Knee: Findings From a Canadian Longitudinal Study on Aging

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