Updated Projected Prevalence of Self-Reported Doctor-Diagnosed Arthritis and Arthritis-Attributable Activity Limitation Among US Adults, 2015-2040

Multi-microdialysis analytical system to monitor acetaminophen and its pharmacokinetic interaction with A. bidentata in rat blood, forelimb extensor muscle, brain striatum, and the knee joint cavity

Acetaminophen (APAP), or paracetamol, is one of the most widespread and commonly used non-prescription pain medication in the world, and is effective at managing wide range of pain, including headache, muscle ache, and minor arthritic pain. While the pharmacokinetics of APAP is generally understood, there is a lack of data for its transfer ratio especially into the knee. A novel multi-microdialysis model was developed to simultaneously sample from blood, forelimb extensor muscle, brain striatum, and the knee joint cavity in the same experimental subject to investigate the potential interaction between APAP and Achyranthes bidentata Blume (A. bidentata), another widely used traditional Chinese medicininal herb especially for pain in the lower extremity. Rats were pre-treated with A. bidentata extract (ABex), APAP was then administered (60 mg/kg, i.v.), dialysates then subsequently analyzed using HPLC-PDA. Our analysis demonstrated that APAP concentrations, achieved after its administration either alone or in combination with ABex (1 and 3 g/kg, q.d. gavage), could be modelled effectively with a one-compartment model. The distribution ratio (AUCorgan/AUCblood) of blood-to-muscle, blood-to-brain and blood-to-knee was 0.372 ± 0.053, 0.277 ± 0.095 and 0.191 ± 0.042, respectively after administration of APAP (60 mg/kg, i.v.). No significant difference was observed between the pharmacokinetics of APAP administered alone and in combination with ABex; and APAP concentration exceed the half maximal effective concentration (EC50) in all sampled organs for close to 3 hours with one single dose of drug administration, providing evidence for its broad-range analgesic effect.

Pain Medication Frequency and Fall Risk Among Community-Dwelling Older Adults With Arthritis

Pain medication is commonly used among older adults with arthritis, elevating the risk of falling. We examined fall risks related to the frequency of taking pain medication among community-dwelling older adults with arthritis by analyzing a nationally representative sample of community-dwelling Medicare beneficiaries aged >65 with self-reported arthritis (n = 4,225) in the 2015 National Health and Aging Trends Study. The survey-weighted logistic regression revealed that after controlling for confounding factors, recent falls were associated with taking pain medication daily compared to never (OR = 1.45, 95% CI: 1.06, 1.96). The other categories of medication frequency, compared to never, were not associated with fall risk. Findings suggest that more prudent use of pain medication should be stressed by health care providers for older adults with arthritis to help reduce the risk of falls and fall injuries. Nonpharmacological pain management is encouraged to support active living among older adults with arthritis.

Arthritis increases the risk of erectile dysfunction: Results from the NHANES 2001-2004

Objective

This study assessed the association between erectile dysfunction (ED) and arthritis.

Methods

Weighted logistic regression and subgroup analyses were used to investigate the association between arthritis incidence and ED among participants in the 2001-2004 National Health and Nutrition Examination Survey database.

Results

Among the participants, 27.8% and 18.5% had a self-reported history of ED and arthritis, respectively. ED was associated with arthritis (odds ratio [OR]=4.00; 95% confidence interval [CI]: 3.20-4.99; p<0.001], which remained significant after adjustment (OR=1.42, 95% CI: 1.00-1.96; p<0.001). Stratified by type of arthritis, after full adjustment, osteoarthritis remained significant (OR=1.11; 95% CI: 1.03-1.20; p=0.017), and rheumatoid arthritis (OR=1.03, 95% CI: 0.93-1.13; p= 0.5) and other arthritis (OR=1.04, 95% CI: 0.98-1.11; p=0.2) were not significantly correlated with ED. Multiple inference analyses confirmed the robustness of the results.

Conclusion

Our study showed that arthritis was strongly associated with ED. There is an urgent need to raise awareness and conduct additional research on the reasons behind this association in order to implement more scientific and rational treatment programs for patients with ED and arthritis.

Clinical use and applications of a citrate-based antiseptic lavage for the prevention and treatment of PJI

Total joint arthroplasties (TJA) are some of the most commonly performed surgeries in the United States with the number of TJA expected to rise significantly over the next decade as the population ages and arthritic burden worsens. However, the rise in TJA volume correlates with a heightened risk of complications, notably prosthetic joint infections (PJI), despite their low occurrence rate of less than 2%. PJI imposes a significant burden on surgery success, patient well-being, and healthcare costs, with an estimated annual expense of 1.85 billion dollars for hip and knee PJI by 2030. This manuscript delves into the pathophysiology of PJI, exploring our current understanding of the role of bacterial biofilm formation on implanted foreign hardware, providing protection against the host immune system and antibiotics. The article reviews current agents and their efficacy in treating PJI, as well as their cytotoxicity toward native cells involved in wound healing, prompting the exploration of a novel citrate-based solution. The paper highlights the superior properties and efficacy of a novel citrate-based irrigation solution on the treatment and prevention of PJI via increased antimicrobial properties, greater biofilm disruption, increased exposure time, and reduced cytotoxicity compared to conventional solutions, positioning it as a promising alternative. It also provides a perspective on its clinical use in the operating theater, with a step-by-step approach in TJA, whether primary or revisionary.

The Effect of Crosslinking Density on Nasal Chondrocytes' Redifferentiation

Hydrogels appear to be an attractive class of biomaterial for cartilage tissue engineering due to their high water content, excellent biocompatibility, tunable stiffness, etc. The crosslinking density of the hydrogel can affect their viscoelastic property, and therefore potentially impact the chondrogenic phenotype of re-differentiated chondrocytes in a 3D microenvironment through physical cues. To understand the effect of crosslinking densities on chondrocytes phenotype and cellular interaction with the hydrogel, this study utilized a clinical grade thiolate hyaluronic acid and thiolate gelatin (HA-Gel) hydrogel, crosslinked with poly(ethylene glycol) diacrylate to create various crosslinking densities. The HA-Gel hydrogels were then mixed with human nasal chondrocytes to generate neocartilage in vitro. The influence of the hydrogel crosslinking density and the viscoelastic property on the cell behaviours on the gene and matrix levels were evaluated using biochemistry assays, histology, quantitative polymerase chain reaction (qPCR) and next-generation sequencing (RNA seq). In general, the differences in the storage modulus of the HA-Gel hydrogel are not enough to alter the cartilaginous gene expression of chondrocytes. However, a positively correlated trend of PPAR-γ gene expression to the crosslinking density was measured by qPCR. The RNA-seq results have shown that 178 genes are significantly negatively correlated and 225 genes are positively correlated to the crosslinking density, which is worth investigating in the future studies.

Enhancing student understanding of rheumatic disease pathologies through augmented reality: findings from a multicentre trial

OBJECTIVE

The possibility of combining real and virtual environments is driving the increased use of augmented reality (AR) in education, including medical training. The aim of this multicentre study was to evaluate the students' perspective on the AR-based Rheumality GO!® app as a new teaching concept, presenting six real anonymized patient cases with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA).

METHODS

The study encompassed 347 undergraduate medical students (232 women and 115 men) from four medical universities in Germany (Jena, Bad Nauheim/Gießen, Nuremberg, Erlangen). The course was divided into a theoretical refresher lecture followed by six AR-based cases in each of the three indications presented in the Rheumality GO! app. All participants evaluated the course after completion, assessing the benefit of the app from a student's perspective using a questionnaire with 16 questions covering six subject areas.

RESULTS

The use of the AR-based app Rheumality GO! improved the understanding of pathologies in RA, PsA and axSpA for 99% of the participants. For 98% of respondents, the concept of AR with real patient data has made a positive impact on the teaching environment. On the other hand, 82% were in favour of the use of virtual tools (e.g. AR) in addition to this conventional approach.

CONCLUSION

The results of our survey showed that from the medical students' perspective, an AR-based concept like the Rheumality GO! app can complement rheumatology teaching in medical school as an effective and attractive tool though not replace bedside teaching.

Racial and Ethnic Differences in the Prevalence of Patients With Arthritis and Severe Joint Pain and Who Received Provider Counseling About Physical Activity for Arthritis Among Adults Aged 18 Years or Older-United States, 2019

OBJECTIVE

This study examined the racial and ethnic differences in individuals with self-reported and doctor-diagnosed arthritis, severe joint pain, and provider counseling for physical activity among US adults with arthritis.

METHODS

We estimated prevalence by race and ethnicity among 31,997 adults aged ≥18 years in the 2019 National Health Interview Survey. We used multiple logistic regression models to investigate associations between outcomes and race and ethnicity.

RESULTS

Compared with non-Hispanic White adults (22.9%), we found a significantly higher age-adjusted prevalence of arthritis among American Indian/Alaska Native adults (30.3%). Among adults with arthritis, higher age-adjusted prevalence of severe joint pain among American Indian/Alaska Native (39.1%), non-Hispanic Black (36.4%), and Hispanic adults (35.7% vs 22.5% [White]) and higher provider counseling for physical activity among non-Hispanic Black adults (58.9% vs 52.1% [White]) were observed and could not be fully explained by differences in socioeconomic factors, body mass index, depression history, and comorbid conditions. Additional models also containing inability to pay medical bills and food insecurity did not explain racial and ethnic differences.

CONCLUSION

Our findings highlight a need for multilevel interventions to mitigate social and environmental barriers to physical activity and eliminate disparities in individuals with arthritis and severe joint pain.

Advances in viscosupplementation and tribosupplementation for early-stage osteoarthritis therapy

Joint kinematic instability, arising from congenital or acquired musculoskeletal pathoanatomy or from imbalances in anabolism and catabolism induced by pathophysiological factors, leads to deterioration of the composition, structure and function of cartilage and, ultimately, progression to osteoarthritis (OA). Alongside articular cartilage degeneration, synovial fluid lubricity decreases in OA owing to a reduction in the concentration and molecular weight of hyaluronic acid and surface-active mucinous glycoproteins that form a lubricating film over the articulating joint surfaces. Minimizing friction between articulating joint surfaces by lubrication is fundamental for decreasing hyaline cartilage wear and for maintaining the function of synovial joints. Augmentation with highly viscous supplements (that is, viscosupplementation) offers one approach to re-establishing the rheological and tribological properties of synovial fluid in OA. However, this approach has varied clinical outcomes owing to limited intra-articular residence time and ineffective mechanisms of chondroprotection. This Review discusses normal hyaline cartilage function and lubrication and examines the advantages and disadvantages of various strategies for restoring normal joint lubrication. These strategies include contemporary viscosupplements that contain antioxidants, anti-inflammatory drugs or platelet-rich plasma and new synthetic synovial fluid additives and cartilage matrix enhancers. Advanced biomimetic tribosupplements offer promise for mitigating cartilage wear, restoring joint function and, ultimately, improving patient care.

The geography of arthritis-attributable pain outcomes: a county-level spatial analysis

ABSTRACT

Research on the geographic distribution of pain and arthritis outcomes, especially at the county level, is limited. This is a high-priority topic, however, given the heterogeneity of subnational and substate regions and the importance of county-level governments in shaping population health. Our study provides the most fine-grained picture to date of the geography of pain in the United States. Combining 2011 Behavioral Risk Factor Surveillance System data with county-level data from the Census and other sources, we examined arthritis and arthritis-attributable joint pain, severe joint pain, and activity limitations in US counties. We used small area estimation to estimate county-level prevalences and spatial analyses to visualize and model these outcomes. Models considering spatial structures show superiority over nonspatial models. Counties with higher prevalences of arthritis and arthritis-related outcomes are mostly clustered in the Deep South and Appalachia, while severe consequences of arthritis are particularly common in counties in the Southwest, Pacific Northwest, Georgia, Florida, and Maine. Net of arthritis, county-level percentages of racial/ethnic minority groups are negatively associated with joint pain prevalence, but positively associated with severe joint pain prevalence. Severe joint pain is also more common in counties with more female individuals, separated or divorced residents, more high school noncompleters, fewer chiropractors, and higher opioid prescribing rates. Activity limitations are more common in counties with higher percentages of uninsured people. Our findings show that different spatial processes shape the distribution of different arthritis-related pain outcomes, which may inform local policies and programs to reduce the risk of arthritis and its consequences.

Effects of T1p Characteristics of Load-Bearing Hip Cartilage on Bilateral Knee Patellar Cartilage Subregions: Subjects With None to Moderate Radiographic Hip Osteoarthritis

BACKGROUND

The polyarticular nature of Osteoarthritis (OA) tends to manifest in multi-joints. Associations between cartilage health in connected joints can help identify early degeneration and offer the potential for biomechanical intervention. Such associations between hip and knee cartilages remain understudied.

PURPOSE

To investigate T1p associations between hip-femoral and acetabular-cartilage subregions with Intra-limb and Inter-limb patellar cartilage; whole and deep-medial (DM), deep-lateral (DL), superficial-medial (SM), superficial-lateral (SL) subregions.

STUDY TYPE

Prospective.

SUBJECTS

Twenty-eight subjects (age 55.1 ± 12.8 years, 15 females) with none-to-moderate hip-OA while no radiographic knee-OA.

FIELD STRENGTH/SEQUENCE

3-T, bilateral hip, and knee: 3D-proton-density-fat-saturated (PDFS) Cube and Magnetization-Prepared-Angle-Modulated-Partitioned-k-Space-Spoiled-Gradient-Echo-Snapshots (MAPSS).

ASSESSMENT

Ages of subjects were categorized into Group-1 (≤40), Group-2 (41-50), Group-3 (51-60), Group-4 (61-70), Group-5 (71-80), and Group-6 (≥81). Hip T1p maps, co-registered to Cube, underwent an atlas-based algorithm to quantify femoral and acetabular subregional (R2-R7) cartilage T1p. For knee Cube, a combination of V-Net architectures was used to segment the patellar cartilage and subregions (DM, DL, SM, SL). T1p values were computed from co-registered MAPSS.

STATISTICAL TESTS

For Intra-and-Inter-limb, 5 optimum predictors out of 13 (Hip subregional T1p, age group, gender) were selected by univariate linear-regression, to predict outcome (patellar T1p). The top five predictors were stepwise added to six linear mixed-effect (LME) models. In all LME models, we assume the data come from the same subject sharing the same random effect. The best-performing models (LME-modelbest) selected via ANOVA, were tested with DM, SM, SL, and DL subregional-mean T1p. LME assumptions were verified (normality of residuals, random-effects, and posterior-predictive-checks).

RESULTS

LME-modelbest (Intra-limb) had significant negative and positive fixed-effects of femoral-R5 and acetabular-R2 T1p, respectively (conditional-R2 = 0.581). LME-modelbest (Inter-limb) had significant positive fixed-effects of femoral-R3 T1p (conditional-R2 = 0.26).

DATA CONCLUSION

Significant positive and negative T1p associations were identified between load-bearing hip cartilage-subregions vs. ipsilateral and contralateral patellar cartilages respectively. The effects were localized on medial subregions of Inter-limb, in particular.

EVIDENCE LEVEL

1 TECHNICAL EFFICACY: Stage 1.

Demographic and clinical correlates of depression among older adults with arthritis in Nigeria

Background

Older adults have a high prevalence of chronic conditions like arthritis with morbidities, especially depression ranging up to 40% - 70%. Therefore, it is important to explore depression in older adults with arthritis.

Aim

This study aimed to determine if any demographic and clinical factors are associated with depression in older adults aged ≥ 60 years with arthritis attending a rheumatology clinic.

Setting

This is a cross-sectional study conducted over 6 months among 127 older adults on follow-up care in a university teaching hospital in the North-Eastern region of Nigeria.

Methods

A clinical proforma with information about the type of arthritis, duration of illness, hospitalisation, use of medications, co-morbidity was utilised for the data collection. The Geriatric Depression Scale (GDS-30), sociodemographic questionnaire and clinical proforma were administered. Data were analysed using Statistical Product and Service Solutions (SPSS) version 26.0 with the level of significance set as 0.05.

Results

The mean age (± standard deviation [s.d.]) was 66.6 (± 5.5) years, with males constituting 57.5%. The prevalence of depression was 57.8%. Osteoarthritis 30.2%, while 69.8% had rheumatoid arthritis. Sociodemographic factors associated with depression include age (p = 0.049), marital status (p = 0.001), and level of education (p = 0.001). Duration of illness (p = 0.02), hospitalisation (p = 0.03), and number of medications (p = 0.01) were clinical factors associated with depression score.

Conclusion

The prevalence of depression in older people with arthritis is high and was associated with females, the widowed, no formal education; and those with long duration of illness, those using multiple medications, and those with repeated hospitalisation.

Contribution

This finding can enhance the suspicion index for depression to establish standard operating procedures, which will help to improve therapeutic practice for caring for the older adult age group.

Revisiting the reaction pathways for phospholipid hydrolysis catalyzed by phospholipase A2 with QM/MM methods

Secreted phospholipase A2 (sPLA2) is a Ca2+-dependent, widely distributed enzyme superfamily in almost all mammalian tissues and bacteria. It is also a critical component of the venom of nearly all snakes, as well as many invertebrate species. In non-venomous contexts, sPLA2 assumes significance in cellular signaling pathways by binding cell membranes and catalyzing ester bond hydrolysis at the sn-2 position of phospholipids. Elevated levels of GIIA sPLA2 have been detected in the synovial fluid of arthritis patients, where it exhibits a pro-inflammatory function. Consequently, identifying sPLA2 inhibitors holds promise for creating highly effective pharmaceutical treatments. Beyond arthritis, the similarities among GIIA sPLA2s offer an opportunity for developing treatments against snakebite envenoming, the deadliest neglected tropical disease. Despite decades of study, the details of PLA2 membrane-binding, substrate-binding, and reaction mechanism remain elusive, demanding a comprehensive understanding of the sPLA2 catalytic mechanism. This study explores two reaction mechanism hypotheses, involving one or two water molecules, and distinct roles for the Ca2+ cofactor. Our research focuses on the human synovial sPLA2 enzyme bound to lipid bilayers of varying phospholipid compositions, and employing adiabatic QM/MM and QM/MM MD umbrella sampling methods to energetically and geometrically characterize the structures found along both reaction pathways. Our studies demonstrate the higher frequency of productive conformations within the single-water pathway, also revealing a lower free energy barrier for hydrolyzing POPC. Furthermore, we observe that the TS of this concerted one-step reaction closely resembles transition state geometries observed in X-ray crystallography complexes featuring high-affinity transition state analogue inhibitors.

A smart hypochlorous acid fluorescent probe enabling Ibuprofen-release for osteoarthritis theranostics

Background: Osteoarthritis (OA) standing as the most prevalent form of arthritis, closely associates with heightened levels of reactive oxygen species, particularly hypochlorous acid (HOCl). Although there are numerous probes available for detecting HOCl in the OA region, probes with dual functions of diagnostic and therapeutic capabilities are still significantly lacking. While this type of probe can reduce the time gap between diagnosis and treatment, which is clinically needed. Methods: We developed a fluorescent probe (DHU-CBA1) toward HOCl with theranostics functions through the release of methylene blue (MB) and ibuprofen (IBP) in this work. DHU-CBA1 can detect HOCl with high specificity and sensitivity, releasing MB and IBP with an impressive efficiency of ≥ 95% in vitro. Results: DHU-CBA1 exhibits good biosafety, enabling in vivo imaging of endogenous HOCl, along with reducing arthritis scores, improving synovitis and cartilage damage, and maintaining catabolic balance while alleviating senescence in cartilage. Conclusions: This study proposes a novel approach to enhance osteoarthritis therapy by releasing IBP via a smart HOCl-enabled fluorescent probe.

Trends in prevalence of arthritis by race among adults in the United States, 2011-2018

BACKGROUND

There is currently a lack of comprehensive prevalence information on arthritis and its various classifications among adults in the U.S., particularly given the notable absence of detailed data regarding the Asian population. We examined the trends in the prevalence of arthritis, including osteoarthritis (OA), rheumatoid arthritis (RA), psoriatic arthritis (PsA), and other types of arthritis, among U.S. adults by race between 2011 and 2018.

METHODS

We analyzed data from the National Health and Nutrition Examination Survey (NHANES), spanning from 2011 to 2018. Our study focused on a nationally representative sample of U.S. adults aged 20 and older. Participants who answered "y es" to the research question "Doctors ever said you had arthritis?" were classified as having arthritis. Further classification into specific diseases was based on responses to the question "Which type of arthritis was it?" with options including "OA or degenerative arthritis, " "RA, " "PsA, " or "Other. " RESULTS: We analyzed 22,566 participants from NHANES (2011-2018), averaging 44.8 years, including 10,927 males. The overall arthritis prevalence rose significantly from 22.98% (95% CI: 21.47-24.55%) in 2011-12 to 27.95% (95% CI: 26.20-29.76%) in 2017-18 (P for trend < 0.001). OA increased from 12.02% (95% CI: 10.82-13.35%) in 2011 to 14.93% (95% CI: 13.47-16.51%) in 2018 (P for trend < 0.001). RA and PsA remained stable (P for trend = 0.220 and 0.849, respectively), while other arthritis rose from 2.03% (95% CI: 1.54-2.67%) in 2011-12 to 3.14% (95% CI: 2.56-3.86%) in 2017-18 (P for trend = 0.001). In Whites, Asians, and other races , arthritis and RA prevalence increased significantly (P for trend < 0.05). OA and other arthritis rose in Whites and other races (P for trend < 0.05), but no significant change occurred in the black population. The prevalence of PsA remained stable across all racial groups, with no statistically significant changes.

CONCLUSIONS

In this nationally representative U.S. adult survey spanning 2011 to 2018, we identified a rising prevalence trend in arthritis, OA, and other arthritis, with notable variations among different racial groups.

Is erectile dysfunction associated with osteoarthritis and rheumatoid arthritis? Insights from a population-based study

Background

The correlation between osteoarthritis (OA) and rheumatoid arthritis (RA), both significant components of arthritis, and erectile dysfunction (ED) has yet to be thoroughly investigated.

Aim

In this study we aimed to assess the association of OA and RA with ED.

Methods

In this observational study we used data from the National Health and Nutrition Examination Survey, which was conducted between 2001 and 2004. Various statistical analyses were employed to investigate the associations of OA and RA with ED, including multivariable logistic regression analysis and subgroup analysis.

Outcomes

The primary outcome for this investigation was arthritis as assessed through self-reporting.

Results

In this comprehensive nationally representative survey spanning 4 years, our findings revealed a notably elevated incidence of ED within both OA and RA populations in comparison to the general population. Additional research is imperative to provide a deeper understanding of these correlations and their potential implications for both pathogenesis and treatment strategies.

Clinical Implications

The research outcomes reported here may serve as a valuable guide for clinicians to assist OA and RA patientsin staying vigilant in addressing their sexual health concerns.

Strengths and Limitations

We explored the association of OA and RA with ED. However, this is only a cross-sectional study.

Conclusion

In this comprehensive nationally representative survey spanning 4 years, our findings revealed a notably elevated incidence of ED within both OA and RA patient populations in comparison to the general population. Ongoing research is imperative to provide a deeper understanding of these correlations.

Association between glyphosate exposure and osteoarthritis in US adults: Especially in people who are obese and inactive in leisure time physical activity

OBJECTIVE

Little has been known on the effect of chronic glyphosate exposure on osteoarthritis (OA). The aim of this study was to investigate the association between glyphosate exposure and OA and to further investigate the different moderating effects of leisure time physical activity (LTPA) and body mass index (BMI) types on the association between glyphosate exposure and OA.

METHODS

Cross-sectional data from 2540 participants in the 2015-2018 National Health and Nutrition Examination Survey (NHANES) were used to explore the association between glyphosate exposure and OA. Multivariate logistic regression models and restricted cubic spline models were used to investigate the association between glyphosate exposure and OA, and further analyses were conducted to determine the association between glyphosate exposure and OA under different LTPA and BMI types.

RESULTS

Of the 2540 participants, 346 had OA. Participants with the highest glyphosate concentration (Q4) had a higher incidence of OA compared to participants with the lowest glyphosate concentration (Q1) (OR, 1.88; 95 % confidence interval [CI]: 1.13, 3.13), there was no nonlinear association between glyphosate and OA (non-linear P = 0.343). In the no LTPA group, glyphosate concentration in the Q4 group was correlated with OA (OR, 2.65; 95%CI: 1.27, 5.51). In the obese group, glyphosate concentration in the Q4 group was correlated with OA (OR, 2.74; 95 % CI: 1.48, 5.07). Among people with high BMI and inactive in LTPA, glyphosate concentrations in Q4 were associated with OA (OR, 2.19; 95 % CI: 1.07, 4.48).

CONCLUSIONS

Glyphosate is associated with OA odd, and physical activity and moderate weight loss can mitigate this association to some degree. This study provides a scientific basis for rational prevention of OA by regulation of LTPA and BMI under glyphosate exposure.

Clearing-enabled light sheet microscopy as a novel method for three-dimensional mapping of the sensory innervation of the mouse knee

A major barrier that hampers our understanding of the precise anatomic distribution of pain sensing nerves in and around the joint is the limited view obtained from traditional two dimensional (D) histological approaches. Therefore, our objective was to develop a workflow that allows examination of the innervation of the intact mouse knee joint in 3D by employing clearing-enabled light sheet microscopy. We first surveyed existing clearing protocols (SUMIC, PEGASOS, and DISCO) to determine their ability to clear the whole mouse knee joint, and discovered that a DISCO protocol provided the most optimal transparency for light sheet microscopy imaging. We then modified the DISCO protocol to enhance binding and penetration of antibodies used for labeling nerves. Using the pan-neuronal PGP9.5 antibody, our protocol allowed 3D visualization of innervation in and around the mouse knee joint. We then implemented the workflow in mice intra-articularly injected with nerve growth factor (NGF) to determine whether changes in the nerve density can be observed. Both 3D and 2D analytical approaches of the light sheet microscopy images demonstrated quantifiable changes in midjoint nerve density following 4 weeks of NGF injection in the medial but not in the lateral joint compartment. We provide, for the first time, a comprehensive workflow that allows detailed and quantifiable examination of mouse knee joint innervation in 3D.

Network Analysis of Osteoarthritis Progression Using a Steiner Minimal Tree Algorithm

Purpose

To provide a comprehensive analysis of associated genes with osteoarthritis (OA). Here, we reported a network analysis of OA progression by using a Steiner minimal tree algorithm.

Methods

We collected the OA-related genes through screening the publications in MEDLINE. We performed functional analysis to analyze the associated biochemical pathways of the OA-related genes. Pathway crosstalk analysis was constructed to explore interactions of the enriched pathways. Steiner minimal tree algorithm was used to analyze molecular pathway networks. The average clustering coefficient was compared with the corresponding values of the Osteoarthritis-specific network. The new finding RNA was compared with former single-cell RNA-seq analysis results.

Results

A gene set with 177 members reported to be significantly associated with Osteoarthritis was collected from 187 studies. Functional enrichment analysis revealed a specific related-OA gene including skeletal system development, cytokine-mediated signaling pathway, inflammatory response, cartilage development, and extracellular matrix organization. We performed a pathway crosstalk analysis among the 72 significantly enriched pathways. A total of 151 of the 177 genes in the Osteoarthritis gene set were included in the human interactome network. There were 31 genes in the former single-cell RNA-seq analysis results. The CLU, ENO1, SRRM1, UBC, HMGB1, NR3C1, NOTCH2NL, and CBX5 have significantly increased expression in seven molecularly defined populations of OA cartilage.

Conclusion

The Steiner tree-based approach finds new biological molecules associated with OA genes.

Depressive symptoms and associated factors among older patients with arthritis: evidence from a community-based study in eastern China

Introduction

Depressive symptoms are often experienced by patients with arthritis and are correlated with poor health outcomes. However, the association between depressive symptoms and multidimensional factors (sociodemographic characteristics, health conditions, health behaviors, and social support) among older patients with arthritis in China remains poorly understood. This study aimed to explore the prevalence of depressive symptoms in older patients with arthritis in eastern China and identify the associated factors.

Methods

We analyzed data of 1,081 older patients with arthritis using secondary data from 2014 to 2020 from a community-based ongoing study initiated in 2014 in eastern China. The prevalence of depressive symptoms was calculated, and univariate and multilevel logistic regression analyses were used to identify the associated factors.

Results

The mean age of older patients with arthritis was 69.16 ± 7.13 years; 42.92% were men and 57.08% were women. The prevalence of depressive symptoms in older patients with arthritis was 14.99% (95% confidence interval: 12.91-17.26%), about 1.8 times higher than that in older adults without arthritis (8.49%, p < 0.001). Multilevel logistic regression identified perception of poor economic status (odds ratio [OR] = 5.52, p < 0.001), multimorbidity (OR = 1.96, p = 0.001), limitations in activities of daily living (OR = 2.36, p = 0.004), and living alone (OR = 3.13, p = 0.026) as factors positively associated with depressive symptoms. Patients diagnosed with arthritis at an older age had lower odds of experiencing depressive symptoms (OR = 0.67, p = 0.046).

Conclusion

Screening for depressive symptoms is essential among older patients with arthritis, especially those who perceive themselves as having a poor economic status, are diagnosed at an earlier age, have multimorbidity, have limitations in activities of daily living, and live alone. The associations of age at arthritis diagnosis and dietary behaviors with depressive symptoms require further research.

A missed opportunity: A scoping review of the effect of sex and age on osteoarthritis using large animal models

OBJECTIVE

The objective was to critically analyze the published literature accounting for sex differences and skeletal age (open vs. closed physis) in preclinical animal models of OA, including the disaggregation of data by sex and skeletal maturity when data is generated from combined sex and/or multi-aged cohorts without proper confounding.

METHOD

A scoping literature review of PubMed, Web of Science, EMBASE, and SCOPUS was performed for studies evaluating the effect of sex and age in experimental studies and clinical trials utilizing preclinical large animal models of OA.

RESULTS

A total of 9727 papers were identified in large animal (dog, pig, sheep, goat, horse) models for preclinical OA research, of which 238 ex vivo and/or in vivo studies disclosed model type, animal species, sex, and skeletal age sufficient to analyze their effect on outcomes. Dogs, followed by pigs, sheep, and horses, were the most commonly used models. A paucity of preclinical studies evaluated the effect of sex and age in large animal models of naturally occurring or experimentally induced OA: 26 total studies reported some kind of analysis of the effects of sex or age, with 4 studies discussing the effects of sex only, 11 studies discussing the effects of age only, and 11 studies analyzing both the effects of age and sex.

CONCLUSION

Fundamental to translational research, OARSI is uniquely positioned to develop recommendations for conducting preclinical studies using large animal models of OA that consider biological mechanisms linked to sex chromosomes, skeletal age, castration, and gonadal hormones affecting OA pathophysiology and treatment response.

Advancing Tissue Damage Repair in Geriatric Diseases: Prospects of Combining Stem Cell-Derived Exosomes with Hydrogels

Geriatric diseases are a group of diseases with unique characteristics related to senility. With the rising trend of global aging, senile diseases now mainly include endocrine, cardiovascular, neurodegenerative, skeletal, and muscular diseases and cancer. Compared with younger populations, the structure and function of various cells, tissues and organs in the body of the elderly undergo a decline as they age, rendering them more susceptible to external factors and diseases, leading to serious tissue damage. Tissue damage presents a significant obstacle to the overall health and well-being of older adults, exerting a profound impact on their quality of life. Moreover, this phenomenon places an immense burden on families, society, and the healthcare system.In recent years, stem cell-derived exosomes have become a hot topic in tissue repair research. The combination of these exosomes with biomaterials allows for the preservation of their biological activity, leading to a significant improvement in their therapeutic efficacy. Among the numerous biomaterial options available, hydrogels stand out as promising candidates for loading exosomes, owing to their exceptional properties. Due to the lack of a comprehensive review on the subject matter, this review comprehensively summarizes the application and progress of combining stem cell-derived exosomes and hydrogels in promoting tissue damage repair in geriatric diseases. In addition, the challenges encountered in the field and potential prospects are presented for future advancements.

Automatic Segmentation of Bone Marrow Lesions on MRI Using a Deep Learning Method

Bone marrow lesion (BML) volume is a potential biomarker of knee osteoarthritis (KOA) as it is associated with cartilage degeneration and pain. However, segmenting and quantifying the BML volume is challenging due to the small size, low contrast, and various positions where the BML may occur. It is also time-consuming to delineate BMLs manually. In this paper, we proposed a fully automatic segmentation method for BMLs without requiring human intervention. The model takes intermediate weighted fat-suppressed (IWFS) magnetic resonance (MR) images as input, and the output BML masks are evaluated using both regular 2D Dice similarity coefficient (DSC) of the slice-level area metric and 3D DSC of the subject-level volume metric. On a dataset with 300 subjects, each subject has a sequence of 36 IWFS MR images approximately. We randomly separated the dataset into training, validation, and testing sets with a 70%/15%/15% split at the subject level. Since not every subject or image has a BML, we excluded the images without a BML in each subset. The ground truth of the BML was labeled by trained medical staff using a semi-automatic tool. Compared with the ground truth, the proposed segmentation method achieved a Pearson's correlation coefficient of 0.98 between the manually measured volumes and automatically segmented volumes, a 2D DSC of 0.68, and a 3D DSC of 0.60 on the testing set. Although the DSC result is not high, the high correlation of 0.98 indicates that the automatically measured BML volume is strongly correlated with the manually measured BML volume, which shows the potential to use the proposed method as an automatic measurement tool for the BML biomarker to facilitate the assessment of knee OA progression.

Trends in Arthritis Prevalence and Associated Chronic Health Indicators Among Adults: Insights From the Behavioral Risk Factor Surveillance System (BRFSS) Database

Background Arthritis is a prevalent, chronic condition with significant implications for morbidity and healthcare utilization. Understanding trends in arthritis prevalence and associated chronic health indicators is vital for informing public health interventions and healthcare policies. Objective This retrospective study aimed to analyze trends in arthritis prevalence and associated chronic health indicators among adults using data from the Behavioral Risk Factor Surveillance System (BRFSS) database. Methods This retrospective study utilized data from the BRFSS database covering 2019 to 2022. Participants included United States adults aged 18 years and older who completed BRFSS surveys during the specified period. Primary variables included arthritis prevalence and its correlation with chronic health indicators and demographics. Data collection involved standardized telephone questionnaires administered annually, with rigorous attention to data quality and consistency. Prevalence estimates were calculated using weighted proportions, and statistical analysis utilized analysis of variance (ANOVA). Results The study revealed relatively stable arthritis prevalence over the study period, with notable demographic variations. Arthritis prevalence remained stable (2019: 43.3%, 2021: 42.5%). Females consistently had higher rates than males (2019: 45%, 2021: 44.9%). Activity limitation, joint pain, and work limitation were more prevalent in arthritis patients. White, non-Hispanic individuals had higher rates than other groups. Physical inactivity increased from 2019 (29.4%) to 2022 (72.4%), particularly in males. Counseling for physical activity was lower in males. Targeted interventions are needed to address these disparities and improve arthritis management. Conclusion This study provides insights into trends in arthritis prevalence and associated chronic health indicators among United States adults. The findings underscore the importance of considering demographic factors in arthritis prevention and management strategies. Targeted interventions promoting physical activity counseling, particularly among high-risk populations, are warranted to address the rising trend of physical inactivity among individuals with arthritis.

Metabolomic Profiles and Pathways in Osteoarthritic Human Cartilage: A Comparative Analysis with Healthy Cartilage

Osteoarthritis (OA) is a chronic joint disease with heterogenous metabolic pathology. To gain insight into OA-related metabolism, metabolite extracts from healthy (n = 11) and end-stage osteoarthritic cartilage (n = 35) were analyzed using liquid chromatography-mass spectrometry metabolomic profiling. Specific metabolites and metabolic pathways, including lipid and amino acid pathways, were differentially regulated in osteoarthritis-derived and healthy cartilage. The detected alterations in amino acids and lipids highlighted key differences in bioenergetic resources, matrix homeostasis, and mitochondrial alterations in OA-derived cartilage compared to healthy cartilage. Moreover, the metabolomic profiles of osteoarthritic cartilage separated into four distinct endotypes, highlighting the heterogenous nature of OA metabolism and the diverse landscape within the joint in patients. The results of this study demonstrate that human cartilage has distinct metabolomic profiles in healthy and end-stage OA patients. By taking a comprehensive approach to assess metabolic differences between healthy and osteoarthritic cartilage and within osteoarthritic cartilage alone, several metabolic pathways with distinct regulation patterns were detected. Additional investigation may lead to the identification of metabolites that may serve as valuable indicators of disease status or potential therapeutic targets.

All-Arthroscopic Matrix-Associated Autologous Chondrocyte Implantation for a Trochlear Defect

Matrix-associated autologous chondrocyte implantation (MACI) is a 2-step technique designed to treat symptomatic full-thickness articular cartilage defects of the knee. In this technique article, MACI (autologous cultured chondrocytes on porcine collagen membrane) is used to treat a femoral trochlear defect of the knee. Treating a defect with this technique leads to improved clinical outcomes by restoring the native chondral surface architecture and biomechanics of the knee. In addition, it has the potential to prevent or delay further progressive degeneration of the joint. It is a 2-stage procedure consisting of an initial arthroscopic cartilage biopsy, followed by 4 to 6 weeks of in vitro chondrocyte expansion and, finally, re-implantation. We recommend performing the MACI procedure arthroscopically for the second stage to treat a femoral trochlear defect. During the second surgical procedure, we examine and prepare the recipient site, followed by graft introduction in an all-arthroscopic manner via dry scoping, secured by a thin layer of fibrin glue.

Physical Therapist and Patient Perspectives on Mobile Technology to Support Home Exercise Prescription for People With Arthritis: A Qualitative Study

Introduction Mobile applications (apps) for exercise prescription may enhance communication between healthcare providers and patients while addressing common barriers to exercise among people with osteoarthritis. However, little is known about preferences and barriers to the use of mobile apps by physical therapists or people aging with osteoarthritis. Therefore, we aimed to examine physical therapist and patient perspectives on mobile apps to support physical therapist-prescribed home exercise for people with osteoarthritis. Methods Eighteen physical therapists and 17 individuals with a history of physical therapy for osteoarthritis participated in the study. Focus groups (n = 6, three each with physical therapists and patients) were conducted to gather perspectives on three commercially available mobile apps designed for physical therapy exercise prescription. Semi-structured questions assessed feature preferences, ease of use, exercise completion support, clinical feasibility, and potential barriers and facilitators to using the apps. Recordings of the focus groups were transcribed verbatim. The study team iteratively coded transcripts using thematic analysis. Results Perspectives of patients and physical therapists intersected but differed on the mobile apps. All patients preferred video exercise prescription over traditional methods and both patients and therapists predicted challenges and opportunities with mobile communication. Four themes emerged: accountability, data-driven, communication boost, and duality of technology. Facilitators of home exercise through mobile apps included exercise tracking, feedback loop, personalization, and the potential for reduced in-person visits. Barriers included technological challenges, complex interface design, lack of universal applicability, and security concerns. Conclusion Mobile app technology has the potential to support exercise adherence for people with osteoarthritis. However, patients' and therapists' perspectives differ and highlight numerous challenges that limit the universal clinical adoption of this technology. While physical therapists acknowledged the potential to improve the rehabilitation experience with mobile apps, there was concern about reimbursement and time constraints in the current fee-for-service environment.

Metabolic syndrome and arthritis among Mexican American older adults: findings from a 23-year follow-up

PURPOSE

To examine the sex differences in the relationship of metabolic syndrome (MetS) criteria with arthritis and symptomatic arthritis among Mexican American older adults aged ≥ 65 without self-reported arthritis at baseline over 23-years of follow-up.

METHODS

Participants (N = 1447) were from the Hispanic Established Population for the Epidemiologic Study of the Elderly (1993/94-2016). Measures included MetS criteria, arthritis defined as self-reported physician-diagnosed arthritis, socio-demographics, morbidities, depressive symptoms, pain on weight-bearing, cognitive and physical function, handgrip strength, mobility, and activities of daily living (ADLs) limitations. Symptomatic arthritis was defined as self-reported arthritis and having ≥ 1 of the following: pain, mobility limitation, or limited ADLs.

RESULTS

At baseline, the mean age was 72.6 years and 730 (50.5%) of our participants were females. Female participants with 2 and 3 MetS criteria had greater odds of arthritis [odds ratio (OR) = 1.77, 95% Confidence Interval (Cl) = 1.28-2.45 and OR = 2.68, 95% CI = 1.69-4.27, respectively) and symptomatic arthritis (OR = 1.74, 95% Cl = 1.24-2.44 and OR = 3.27, 95% CI = 2.04-5.26, respectively) after controlling for covariates. Male participants with 2 and 3 MetS criteria had greater odds of arthritis (OR = 1.65, 95% Cl = 1.14-2.39 and OR = 2.52, 95% CI = 1.51-4.19, respectively) and symptomatic arthritis (OR = 1.93, 95% Cl = 1.30-2.86 and OR = 2.98, 95% CI = 1.62-5.47, respectively) after controlling for covariates. Both females and males with pain on weight-bearing had greater odds of arthritis than those without pain.

CONCLUSIONS

At 23-years of follow-up, Mexican American older adults with MetS have an increased risk of arthritis and symptomatic arthritis. Early MetS screening and management may reduce arthritis in this population at high risk of disability.

The interaction of perfluoroalkyl acids and a family history of diabetes on arthritis: analyses of 2011-2018 NHANES

Whether a family history of diabetes (FHD) and exposure to perfluoroalkyl acids (PFAAs) are correlated with an increased risk of developing arthritis remains unclear. This cross-sectional study was conducted to explore the correlations between FHD or exposure to PFAAs and arthritis as well as their interaction using the National Health and Nutrition Examination Survey (NHANES). In total, 6,194 participants aged ≥ 20 years from the 2011-2018 NHANES were enrolled. PFAAs are a cluster of synthetic chemicals, including perfluorononanoic acid (PFNA), perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorodecanoic acid (PFDA) and perfluorohexane sulfonic acid (PFHxS). FHD was evaluated using self-reported questionnaires. Arthritis was classified into three types, rheumatoid arthritis (RA), osteoarthritis (OA), and others, which were diagnosed using questionnaires. Generalized linear models (GLMs) were used to test the correlation between FHD and arthritis. To examine the joint effects of PFAAs and FHD on arthritis, interaction terms were applied in the GLM. Arthritis incidence was 26.7% among all participants. FHD was associated with both RA [OR = 1.70 (95% CI: 1.15-2.50)] and other types of arthritis [OR = 1.62 (95% CI: 1.21-2.16)]. However, the relationship between FHD and OA was not significant after adjustment (P = 0.18). Interaction outcomes indicated that higher PFDA levels increased the association between FHD and arthritis. FHD is associated with an increased incidence of arthritis, which may be increased by PFDA. Given the heavy burden of arthritis, preventive measures for arthritis and reduction of PFAAs exposure for patients with FHD are required.

Association between asymptomatic hyperuricemia and risk of arthritis, findings from a US National Survey 2007-2018

BACKGROUND

Arthritis is thought to be closely related to serum uric acid. The study aims to assess the association between asymptomatic hyperuricemia (AH) and arthritis.

METHODS

A multistage, stratified cluster was used to conduct a cross-sectional study of adult US civilians aged≥20 years from the 2007-2018 National Health and Nutrition Examination Survey. Participants with hyperuricemia and without hyperuricemia prior to gout were included. A questionnaire was used to determine whether participants had arthritis and the type of arthritis. Logistic regression was used to investigate the association between hyperuricemia and arthritis.

RESULT

During the past 12 years, the percentage of participants with arthritis changed from 25.95% (22.53%-29.36%) to 25.53% (21.62%-29.44%). The prevalence of osteoarthritis (OA) increased from 8.70% (95% CI: 6.56% to 10.85%) to 12.44% (95% CI: 9.32% to 15.55%), the prevalence of AH changed from 16.35% (95% CI: 14.01% to 18.40%) to 16.39% (95% CI: 13.47% to 19.30%). Participants with AH were associated with onset of arthritis (OR=1.34, 95% CI: 1.07 to 1.69), but the association was muted after adjusting demographic and socioeconomic factors. For participants aged 40-49 years, AH is associated with incident arthritis (OR=1.96, 95% CI: 1.23 to 2.99) and the relationship remained after adjusting for education level, income to poverty ratio, body mass index, diabetes, hypertension and smoking (OR=2.00, 95% CI: 1.94 to 3.36). Compared with male, female participants with AH are more likely to develop arthritis, especially in OA (OR=1.35, 95% CI: 1.14 to 1.60).

CONCLUSION

Our data identified AH as the risk factor for incident arthritis, especially for OA, which might be exaggerated in aged population and female population.

General Control Non-derepressible 2 Alleviates Cartilage Degeneration and Inhibits NLRP3 Inflammasome Activation in Osteoarthritis

This study aimed to evaluate the effects of general control non-derepressible 2 (GCN2) on osteoarthritis (OA) in vivo and in vitro. First, anterior cruciate ligament transection (ACLT)-induced rat model and interleukin (IL)-1β-induced ATDC5 chondrocyte were established. Hematoxylin and eosin staining and safranin O/fast green staining were employed for analyzing the histological changes in the rat cartilage. In addition, immunohistochemistry, quantitative real-time polymerase chain reaction, enzyme-linked immunosorbent assay, western blot, and immunofluorescence staining were employed for examining cartilage degeneration-, inflammation-, autophagy-, and NLR family pyrin domain containing 3 (NLRP3) inflammasome-associated genes expression. Moreover, 2,7-dichlorodihydrofluorescein acetoacetic acid probe was utilized for examining the intracellular reactive oxygen species. In addition, 5-ethynyl-2'-deoxyuridine assay and flow cytometry were applied for detecting chondrocyte proliferation and apoptosis IL-1β-treated ATDC5 chondrocytes. GCN2 overexpression ameliorated articular cartilage degeneration and inflammation but promoted chondrocyte autophagy in ACLT-induced OA rats. Similarly, we demonstrated that the upregulation of GCN2 could promote chondrocyte proliferation, suppress chondrocyte apoptosis, attenuate chondrocyte inflammation and extracellular matrix degradation, and promote chondrocyte autophagy. Moreover, GCN2 overexpression could inhibit the activation of NLRP3 inflammasome in IL-1β-induced ATDC5 chondrocyte. Furthermore, 3-methyladenine neutralized the protective and autophagy-promoting effects of GCN2 overexpression on ATDC5 chondrocytes. GCN2 could attenuate inflammation and cartilage degeneration, promote chondrocyte autophagy, and inhibit NLRP3 inflammasome activation in OA.

Social determinants of health in patients with arthritis: a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System

CONTEXT

Social determinants of health (SDOH) are economic, social, and political conditions that affect a person's overall health or the health of a group of people. Researchers have investigated the effects of SDOH on various diseases, such as asthma, obesity, and chronic stress, but few publications have been made regarding its effects on arthritis.

OBJECTIVES

Our primary objective was to analyze the implications of SDOH on disease severity relating to pain levels and limitations experienced among people with diagnosed arthritis.

METHODS

We performed a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System (BRFSS). We included individuals who reported having arthritis, were over the age of 45, and who also completed the SDOH module. Pain scores from the four-question Arthritis Burden Module were correlated to question responses pertaining to SDOH to determine their associations.

RESULTS

For the analysis, our sample size was 25,682, with response rates varying slightly among the SDOH questions. Individuals diagnosed with arthritis were more likely to report functional limitations if they experienced food insecurity (χ2=234.0, p<0.001), financial instability (χ2=149.7, p<0.001), or frequent stress (χ2=297.6, p<0.001). Further, we found that individuals with arthritis experiencing any domain of SDOH reported higher mean pain scores than those not experiencing that domain, with the highest pain score difference among those reporting frequent stress (Coefficient: 1.93, CI=1.74-2.13, t=19.43, p<0.001).

CONCLUSIONS

Our results show that SDOH profoundly impact pain levels and limitations experienced by patients with arthritis. Although work has already begun to help alleviate burdens associated with SDOH, more research and actions are required to create equitable health throughout the population.

Dual-Functional Injectable Hydrogel for Osteoarthritis Treatments

Osteoarthritis (OA) is a prevalent, chronic degenerative disease that affects people worldwide. It is characterized by the destruction of cartilage and inflammatory reactions. High levels of reactive oxygen species (ROS) cause oxidative stress, which damages lipids, proteins, and DNA, leading to cell damage and death. Furthermore, ROS also induces the production of inflammatory cytokines and cell chemotaxis, further worsening the inflammatory response and damaging cartilage resulted in limited movement. Herein, this work reports a dual-functional injectable hydrogel, which can help inhibit inflammation by scavenging ROS and provide lubrication to reduce wear and tear on the joints. To create the hydrogel, 3-aminophenylboronic acid modified hyaluronic acid is synthesized, then which is crosslinked with hydroxyl-containing polyvinyl alcohol (PVA) to construct a dual dynamic covalent crosslinked hydrogel oHA-PBA-PVA gel, Gel (HPP). The hydrogel mentioned here possesses a unique bond structure that allows it to be injected, self-heal, and provide lubrication. This innovative approach offers a new possibility for treating osteoarthritis by combining anti-inflammatory and lubrication effects.

Development and validation of a risk prediction model for arthritis in community-dwelling middle-aged and older adults in China

Background

Considering its high prevalence, estimating the risk of arthritis in middle-aged and older Chinese adults is of particular interest. This study was conducted to develop a risk prediction model for arthritis in community-dwelling middle-aged and older adults in China.

Methods

Our study included a total of 9599 participants utilising data from the China Health and Retirement Longitudinal Study (CHARLS). Participants were randomly assigned to training and validation groups at a 7:3 ratio. Univariate and multivariate binary logistic regression analyses were used to identify the potential predictors of arthritis. Based on the results of the multivariate binary logistic regression, a nomogram was constructed, and its predictive performance was evaluated using the receiver operating characteristic (ROC) curve. The accuracy and discrimination ability were assessed using calibration curve analysis, while decision curve analysis (DCA) was performed to evaluate the net clinical benefit rate.

Results

A total of 9599 participants were included in the study, of which 6716 and 2883 were assigned to the training and validation groups, respectively. A nomogram was constructed to include age, hypertension, heart diseases, gender, sleep time, body mass index (BMI), residence address, the parts of joint pain, and trouble with body pains. The results of the ROC curve suggested that the prediction model had a moderate discrimination ability (AUC >0.7). The calibration curve of the prediction model demonstrated a good predictive accuracy. The DCA curves revealed a favourable net benefit for the prediction model.

Conclusions

The predictive model demonstrated good discrimination, calibration, and clinical validity, and can help community physicians and clinicians to preliminarily assess the risk of arthritis in middle-aged and older community-dwelling adults.

Metabolomic Profiles and Pathways in Osteoarthritic Human Cartilage: A Comparative Analysis with Healthy Cartilage

Objective

Osteoarthritis (OA) is a chronic joint disease with heterogenous metabolic pathology. To gain insight into OA-related metabolism, healthy and end-stage osteoarthritic cartilage were compared metabolically to uncover disease-associated profiles, classify OA-specific metabolic endotypes, and identify targets for intervention for the diverse populations of individuals affected by OA.

Design

Femoral head cartilage (n=35) from osteoarthritis patients were collected post-total joint arthroplasty. Healthy cartilage (n=11) was obtained from a tissue bank. Metabolites from all cartilage samples were extracted and analyzed using liquid chromatography-mass spectrometry metabolomic profiling. Additionally, cartilage extracts were pooled and underwent fragmentation analysis for biochemical identification of metabolites.

Results

Specific metabolites and metabolic pathways, including lipid- and amino acid pathways, were differentially regulated between osteoarthritis-derived and healthy cartilage. The detected alterations of amino acids and lipids highlight key differences in bioenergetic resources, matrix homeostasis, and mitochondrial alterations in osteoarthritis-derived cartilage compared to healthy. Moreover, metabolomic profiles of osteoarthritic cartilage separated into four distinct endotypes highlighting the heterogenous nature of OA metabolism and diverse landscape within the joint between patients.

Conclusions

The results of this study demonstrate that human cartilage has distinct metabolomic profiles between healthy and end-stage osteoarthritis patients. By taking a comprehensive approach to assess metabolic differences between healthy and osteoarthritic cartilage, and within osteoarthritic cartilage alone, several metabolic pathways with distinct regulation patterns were detected. Additional investigation may lead to the identification of metabolites that may serve as valuable indicators of disease status or potential therapeutic targets.

Assessing Dose- and Sex-Dependent Antinociceptive Effects of Cannabidiol and Amitriptyline, Alone and in Combination, and Exploring Mechanism of Action Involving Serotonin 1A Receptors

Inflammatory pain is caused by tissue hypersensitization and is a component of rheumatic diseases, frequently causing chronic pain. Current guidelines use a multimodal approach to pain and sociocultural changes have renewed interest in cannabinoid use, particularly cannabidiol (CBD), for pain. The tricyclic antidepressant amitriptyline (AT) is approved for use in pain-related syndromes, alone and within a multimodal approach. Therefore, we investigated sex- and dose-dependent effects of CBD and AT antinociception in the 2.5% formalin inflammatory pain model. Male and female C57BL/6J mice were pretreated with either vehicle, CBD (0.3-100 mg/kg), or AT (0.1-30 mg/kg) prior to formalin testing. In the acute phase, CBD induced antinociception after administration of 30-100 mg/kg in males and 100 mg/kg in females and in the inflammatory phase at doses of 2.5-100 mg/kg in males and 10-100 mg/kg in females. In the acute phase, AT induced antinociception at 10 mg/kg for all mice, and at 0.3 mg/kg in males and 3 mg/kg in female mice in the inflammatory phase. Combining the calculated median effective doses of CBD and AT produced additive effects for all mice in the acute phase and for males only in the inflammatory phase. Use of selective serotonin 1A receptor antagonist N-[2-[4-(2-methoxyphenyl)-1 piperazinyl]ethyl]-N-2-pyridinylcyclohexanecarboxamide (WAY-100635) maleate (0.1 mg/kg) before co-administration of CBD and AT reversed antinociception in the acute and partially reversed antinociception in the inflammatory phase. Administration of AT was found to enhance cannabinoid receptor type 1mRNA expression only in female mice. These results suggest a role for serotonin and sex in mediating cannabidiol and amitriptyline-induced antinociception in inflammatory pain. SIGNIFICANCE STATEMENT: Inflammatory pain is an important component of both acute and chronic pain. We have found that cannabidiol (CBD) and amitriptyline (AT) show dose-dependent, and that AT additionally shows sex-dependent, antinociceptive effects in an inflammatory pain model. Additionally, the combination of CBD and AT was found to have enhanced antinociceptive effects that is partially reliant of serotonin 1A receptors and supports the use of CBD within a multimodal approach to pain.

Relationship of weight change patterns from young to middle adulthood with incident rheumatoid arthritis and osteoarthritis: a retrospective cohort study

Background

The relationship between weight change patterns and arthritis onset, specifically rheumatoid arthritis (RA) and osteoarthritis (OA), is unclear. We examined the association between weight changes from young adulthood to midlife and arthritis onset.

Methods

Using data from NHANES 1999-2018, participants with self-reported arthritis were selected. Age at diagnosis determined arthritis onset. Weight change patterns were based on BMI at age 25 and 10 years before the survey. Patterns were categorized as stable non-obese, non-obese to obese, obese to non-obese, and stable obese. Cox regression models and restricted cubic spline (RCS) analysis were employed, calculating hazard ratios (HRs) and 95% confidence intervals (CIs) considering covariates.

Results

Out of 20,859 participants (male 11,017, 52.82%), 4922 developed arthritis over a mean 8.66-year follow-up. Compared to stable non-obese individuals, the HRs for arthritis were 1.55 (95% CI=1.45 to 1.66, P < 0.0001) for non-obese to obese and 1.74 (95% CI=1.56 to 1.95, P < 0.0001) for stable obese. Those gaining 10-20 kg had a HR of 1.33 (95% CI=1.22 to 1.46, P < 0.0001), and gains >20 kg had a HR of 1.56 (95% CI=1.42 to 1.71, P < 0.0001), compared to stable weight (change within 2.5 kg). Identical results observed for OA and RA. RCS showed a nonlinear relationship between weight change and arthritis (all P < 0.01).

Conclusions

Stable obesity and weight gain during adulthood increase arthritis risk. Maintaining a non-obese weight throughout adult years might reduce arthritis risk in later life.

Predictors of Clinical Benefit with Intra-articular Hyaluronic Acid in Patients with Knee Osteoarthritis - A Narrative Review

BACKGROUND

There is conflicting evidence regarding the efficacy of viscosupplementation with intra-articular hyaluronic acid injections in knee osteoarthritis. One possible explanation for the inconsistent findings on its efficacy is that only certain subpopulations of patients benefit from this therapy.

OBJECTIVE

The purpose of this narrative review is to succinctly summarize the existing data on the predictive factors of clinical response to intra-articular hyaluronic acid to identify the patient profile most likely to benefit from this therapy.

METHODS

For this narrative review, a PubMed search was conducted in January 2023, with no date limits, to identify publications reporting predictive factors of response to viscosupplementation using the following terms: hyaluronic acid OR viscosupplem* AND osteoarthritis AND knee AND predict*. Searches were limited to randomized controlled trials, systematic reviews and meta- analyses, or observational studies written in English. Other relevant references were identified by searching the references of retrieved articles.

RESULTS

The disease severity was found to reliably predict response to intra-articular hyaluronic acid injections; patients with less severe disease consistently had a more robust therapeutic response than those with more severe disease. Other clinical variables such as level of baseline pain did not reliably predict response. Body mass index, and possibly age, may also be independent predictors of the response.

CONCLUSION

A review of the existing literature suggests that patients with less severe clinical symptoms and radiological findings, who are younger, and with a lower or normal body mass index are the best candidates for intra-articular hyaluronic acid therapy.

Delayed discovery: the COVID-19 pandemic's influence on osteoarthritis clinical trials

CONTEXT

The COVID-19 pandemic disrupted clinical research in many medical and surgical fields, resulting in research waste and loss of treatment for patients. Although other areas have been explored, the extent of the pandemic's influence on osteoarthritis (OA) trials is currently unknown.

OBJECTIVES

This study aims to explore the reasons for termination of clinical trials investigating OA during the COVID-19 pandemic.

METHODS

We searched ClinicalTrials.gov for OA trials and characterized their reason for discontinuation, noting where trialists directly cited the COVID-19 pandemic as the reason for trial discontinuation. We also coded other common reasons for trial discontinuation. Descriptive and inferential statistics were performed to determine the difference in enrollment, funding source, trial phase, allocation, and intervention type between the trials terminated early due to pandemic and nonpandemic reasons.

RESULTS

Out of 135 clinical trials, 119 were included and 27 (22.7 %) of them reported the COVID-19 pandemic as a primary reason for discontinuation, which was the overall most common reason for OA trial discontinuation during the study period. We found statistically significant differences for trials discontinued due to pandemic vs. non-pandemic-related reasons, with trials having sites outside the United States, randomized allocation, and drug or device intervention type being most affected. However, there was no statistically significant difference between groups regarding trial phase, funding source, or enrollment.

CONCLUSIONS

This study highlights the impact of the COVID-19 pandemic on the clinical trials related to OA. We found that many trials reported discontinuation directly due to the pandemic, which may lead to the loss or delay of novel treatments for OA. To avoid such discontinuation in the future, alternative methods for conducting OA-related clinical trials should be explored and implemented.

Tibiofemoral Load Magnitude and Distribution During Load Carriage

Chronic exposure to high tibiofemoral joint (TFJ) contact forces can be detrimental to knee joint health. Load carriage increases TFJ contact forces, but it is unclear whether medial and lateral tibiofemoral compartments respond similarly to incremental load carriage. The purpose of our study was to compare TFJ contact forces when walking with 15% and 30% added body weight. Young healthy adults (n = 24) walked for 5 minutes with no load, 15% load, and 30% load on an instrumented treadmill. Total, medial, and lateral TFJ contact peak forces and impulses were calculated via an inverse dynamics informed musculoskeletal model. Results of 1-way repeated measures analyses of variance (α = .05) demonstrated total, medial, and lateral TFJ first peak contact forces and impulses increased significantly with increasing load. Orthogonal polynomial trends demonstrated that the 30% loading condition led to a curvilinear increase in total and lateral TFJ impulses, whereas medial first peak TFJ contact forces and impulses responded linearly to increasing load. The total and lateral compartment impulse increased disproportionally with load carriage, while the medial did not. The medial and lateral compartments responded differently to increasing load during walking, warranting further investigation because it may relate to risk of osteoarthritis.

Genicular nerve radiofrequency ablation for the treatment of chronic knee joint pain: a real-world cohort study with evaluation of prognostic factors

BACKGROUND

Genicular nerve radiofrequency ablation (GNRFA) is an effective treatment for chronic knee pain. However, there has been minimal investigation of real-world, long-term outcomes and factors that predict treatment success after GNRFA.

OBJECTIVES

To evaluate the effectiveness of GNRFA for chronic knee pain in a real-world population and identify predictive factors.

METHODS

Consecutive patients who underwent GNRFA at a tertiary academic center were identified. Demographic, clinical, and procedural characteristics were collected from the medical record. Outcome data were numeric rating scale (NRS) pain reduction and Patient Global Impression of Change (PGIC). Data were collected by standardized telephone survey. Predictors of success were evaluated with logistic and Poisson regression analyses.

RESULTS

Of the 226 total patients identified, 134 (65.6 ± 12.7; 59.7% female) were successfully contacted and analyzed, with a mean follow-up time of 23.3 ± 11.0 months. Of those, 47.8% (n = 64; 95% CI: 39.5%-56.2%) and 61.2% (n = 82; 95% CI: 52.7%-69.0%) reported ≥50% NRS score reduction and ≥2-point NRS score reduction, respectively, and 59.0% (n = 79; 95% CI: 50.5%-66.9%) reported "much improved" on the PGIC questionnaire. Factors associated with a greater likelihood of treatment success (P < .05) were higher Kellgren-Lawrence osteoarthritis grade (2-4 vs 0-1); no baseline opioid, antidepressant, or anxiolytic medication use; and >3 nerves targeted.

CONCLUSION

In this real-world cohort, approximately half of the participants experienced clinically meaningful improvements in knee pain after GNRFA at an average follow-up time of nearly 2 years. Factors associated with higher likelihood of treatment success were more advanced osteoarthritis (Kellgren-Lawrence Grade 2-4); no opioid, antidepressant, or anxiolytic medication use; and >3 nerves targeted.

Periprosthetic acetabular fractures as a complication of total hip arthroplasty

Periprosthetic acetabular fractures are rare but potentially devastating complications of total hip arthroplasty. As the number of total hip arthroplasties performed annually increases, so has the incidence of periprosthetic fractures, with the topic being spotlighted more frequently in the orthopaedic community. There is a particular sparsity of literature regarding periprosthetic acetabular fractures, with periprosthetic femoral fractures after total hip arthroplasty being traditionally far more commonly reported. This article aims to provide an up-to-date review of the epidemiology, risk factors, diagnostic challenges, classifications, and management strategies for periprosthetic acetabular fractures after total hip arthroplasty.

Did a bot eat your homework? An assessment of the potential impact of bad actors in online administration of preference surveys

BACKGROUND

Online administration of surveys has a number of advantages but can also lead to increased exposure to bad actors (human and non-human bots) who can try to influence the study results or to benefit financially from the survey. We analyze data collected through an online discrete-choice experiment (DCE) survey to evaluate the likelihood that bad actors can affect the quality of the data collected.

METHODS

We developed and fielded a survey instrument that included two sets of DCE questions asking respondents to select their preferred treatments for multiple myeloma therapies. The survey also included questions to assess respondents' attention while completing the survey and their understanding of the DCE questions. We used a latent-class model to identify a class associated with perverse preferences or high model variance, and the degree to which the quality checks included in the survey were correlated with class membership. Class-membership probabilities for the problematic class were used as weights in a random-parameters logit to recover population-level estimates that minimizes exposure to potential bad actors.

RESULTS

Results show a significant proportion of respondents provided answers with a high degree of variability consistent with responses from bad actors. We also found that a wide-ranging selection of conditions in the survey screener is more consistent with choice patterns expected from bad actors looking to qualify for the study. The relationship between the number of incorrect answers to comprehension questions and problematic choice patterns peaked around 5 out of 10 questions.

CONCLUSIONS

Our results highlight the need for a robust discussion around the appropriate way to handle bad actors in online preference surveys. While exclusion of survey respondents must be avoided under most circumstances, the impact of "bots" on preference estimates can be significant.

Educational disparities in joint pain within and across US states: do macro sociopolitical contexts matter?

ABSTRACT

Despite growing recognition of the importance of social, economic, and political contexts for population health and health inequalities, research on pain disparities relies heavily on individual-level data, while neglecting overarching macrolevel factors such as state-level policies and characteristics. Focusing on moderate or severe arthritis-attributable joint pain-a common form of pain that considerably harms individuals' quality of life-we (1) compared joint pain prevalence across US states; (2) estimated educational disparities in joint pain across states; and (3) assessed whether state sociopolitical contexts help explain these 2 forms of cross-state variation. We linked individual-level data on 407,938 adults (ages 25-80 years) from the 2017 Behavioral Risk Factor Surveillance System with state-level data on 6 measures (eg, the Supplemental Nutrition Assistance Program [SNAP], Earned Income Tax Credit, Gini index, and social cohesion index). We conducted multilevel logistic regressions to identify predictors of joint pain and inequalities therein. Prevalence of joint pain varies strikingly across US states: the age-adjusted prevalence ranges from 6.9% in Minnesota to 23.1% in West Virginia. Educational gradients in joint pain exist in all states but vary substantially in magnitude, primarily due to variation in pain prevalence among the least educated. At all education levels, residents of states with greater educational disparities in pain are at a substantially higher risk of pain than peers in states with lower educational disparities. More generous SNAP programs (odds ratio [OR] = 0.925; 95% confidence interval [CI]: 0.963-0.957) and higher social cohesion (OR = 0.819; 95% CI: 0.748-0.896) predict lower overall pain prevalence, and state-level Gini predicts higher pain disparities by education.

Added value of high-resolution ultrasound and MRI in the evaluation of rheumatologic diseases

Rheumatologic diseases are a widespread group of disorders affecting the joints, bones, and connective tissue, and leading to significant disability. Imaging is an indispensable component in diagnosing, assessing, monitoring, and managing these disorders, providing information about the structural and functional alterations occurring within the affected joints and tissues. This review article aims to compare the utility, specific clinical applications, advantages, and limitations of high-resolution ultrasound and magnetic resonance imaging in the context of rheumatologic diseases. It also provides insights into the imaging features of various types of inflammatory arthritis with clinical relevance and a focus on high-resolution ultrasound and magnetic resonance imaging. By understanding the comparative aspects of high-resolution ultrasound and magnetic resonance imaging, it is easier for the treating physicians to make informed decisions when selecting the optimal imaging modality for specific diagnostic purposes, effective treatment planning, and improve patient outcomes. The patterns of soft tissue and joint involvement; bony erosion and synovitis help in differentiating between various type of arthritis. Involvement of various small joints of the hands also gives an insight into the type of arthritis. We also briefly discuss the potential applications of emerging techniques, such as ultrasound elastography, contrast-enhanced ultrasound, and dual-energy CT, in the field of rheumatology.

Development of a structured musculoskeletal and rheumatic disease continuing education program for nurse practitioners

ABSTRACT

The workforce shortage of musculoskeletal and rheumatic disease (MSK-RMD) trained providers has led to the need for additional education for nurse practitioners (NPs) in MSK-RMD. An educational certificate was developed and implemented collaboratively between an academic medical center and a college of nursing. The NP-focused MSK-RMD education program enhanced the assessment and treatment of a variety of common RSK-RMD conditions. Interviews and online surveys were conducted with participants to evaluate the program experience. Participant interviews and survey findings demonstrate overall NP satisfaction with the program. Expanding the program to create an accessible virtual continuing education course may improve accessibility of MSK-RMD education for NPs in primary care and multidisciplinary environments.

Perioperative Outcomes in Total Knee Arthroplasty for Non-English Speakers

BACKGROUND

Many studies have demonstrated that in patients whose primary language is not English, outcomes after an orthopaedic surgery are worse compared to primary English speakers. The goal of this study was to compare perioperative outcomes in patients undergoing total knee arthroplasty (TKA) who prefer English as their first language versus those who prefer a different language.

METHODS

We retrospectively reviewed all patients who underwent primary TKA from May 2012 to July 2021. Patients were separated into two groups based on whether English was their preferred primary language (PPL). Of the 13,447 patients who underwent primary TKA, 11,290 reported English as their PPL, and 2,157 preferred a language other than English. Patients whose PPL was not English were further stratified based on whether they requested interpreter services. Multiple regression analyses were performed to determine the significance of perioperative outcomes while controlling for demographic differences.

RESULTS

Our analysis found that non-English PPL patients had significantly lower rates of readmission (P = .040), overall revision (P = .028), and manipulation under anesthesia (MUA; P = .025) within 90 days postoperatively. Sub analyses of the non-English PPL group showed that those who requested interpreter services had significantly lower 1-year revision (P < .001) and overall MUA (P = .049) rates.

CONCLUSION

Our results demonstrate that TKA patients who communicated in English without an interpreter were significantly more likely to undergo revision, readmission, and MUA. These findings may suggest that language barriers may make it more difficult to identify postoperative problems or concerns in non-English speakers, which may limit appropriate postoperative care.

LEVEL III EVIDENCE

Retrospective Cohort Study.

Depressive symptom trajectories and new-onset arthritis in a middle-aged and elderly Chinese population

OBJECTIVE

Previous studies reported that depression was associated with a high risk of arthritis. However, the effect of different long-term depressive symptom trajectory patterns on the risk of arthritis has not been evaluated. Our study aimed to explore the association between depressive symptom trajectories and the risk of arthritis.

METHODS

A total of 5583 participants from the China Health and Retirement Longitudinal Study from 2011 to 2018 were included in this analysis. Group-based trajectory modeling was used to identify depressive symptom trajectories, and a multivariable competitive Cox regression model was used to examine the association of depressive symptom trajectories with arthritis during follow-up.

RESULTS

Five depressive symptom trajectories were identified in our research: stable-high, decreasing, increasing, stable-moderate and stable-low. Compared with participants in the stable-low trajectory group, those in the stable-moderate, increasing, decreasing and stable-high trajectory groups had a higher cumulative risk of arthritis, with HRs (95% CIs) for arthritis of 1.64 (1.30, 2.07), 1.86 (1.30, 2.66), 1.99 (1.41, 2.80) and 2.19 (1.38, 3.48), respectively. Participants with the stable-high symptoms trajectory had the highest cumulative risk of arthritis. There was still a high risk of arthritis, although the depression state was reduced and remained at a level that is generally considered reasonable.

CONCLUSIONS

The higher depressive symptoms trajectories were significantly associated with the increased risk of arthritis, and the long-term depressive symptoms trajectories may be a strong predictor of having arthritis.

The association between triglyceride glucose index and arthritis: a population-based study

OBJECTIVES

Insulin resistance is a well-established contributor to inflammation; however, the specific association between the triglyceride glucose (TyG) index, a biomarker reflecting insulin resistance, and arthritis remains unexplored. As a result, the main aim of this study was to examine the correlation between the TyG index and arthritis.

METHODS

This observational study used data from the National Health and Nutrition Examination Survey (NHANES), which was conducted between 2007 and 2018. To investigate the relationship between the TyG index and arthritis, various statistical analyses were employed, including weighted multivariable logistic regression analysis, subgroup analysis, curve fit analysis, and threshold effect analysis.

RESULTS

In total, 14,817 patients were enrolled in the trial, with 4,191 individuals (28.29%) diagnosed with arthritis. An increased risk of arthritis was found to be significantly correlated with higher TyG index values (odds ratio OR = 1.15, 95% confidence interval CI: 1.07-1.23), according to the results of multivariable logistic regression analysis after full adjustment. Subgroup analysis and interaction tests further indicated that the TyG index exhibited an additive effect when combined with other established risk factors, including age (OR = 1.29; 95% CI: 1.17-1.41), body mass index (BMI) (OR = 1.43; 95% CI: 1.24-1.69), and diabetes (OR = 1.20; 95% CI: 1.11-1.31). Additionally, curve fit analysis and threshold effect analysis demonstrated a nonlinear relationship with a breakpoint identified at 8.08 µmol/L.

CONCLUSION

The TyG index was positively correlated with arthritis in adults under 60 years of age in the United States who had normal weight and no diabetes. Further large-scale prospective studies are warranted for a comprehensive analysis of the role of the TyG index in arthritis.