Diabetes mellitus and the risk of total knee replacement among Chinese in Singapore, the Singapore Chinese Health Study

Knee Osteoarthritis in Relation to the Risk Factors of the Metabolic Syndrome Components and Environment of Origin

Background: Knee osteoarthritis (KOA) is a chronic degenerative pathology that is associated with multiple risk factors such as age, sex, obesity, or metabolic syndrome (MetS). The present clinical trial aimed to investigate the influence of the environment of origin, body mass index (BMI), and MetS parameters on the KOA differentiated degrees. Methods: 85 patients were admitted for the clinical study. The KOA presence was investigated using X-rays analysis. The Kellgren−Lawrence classification (KL) of the KOA severity and the MetS characteristic parameters using freshly collected blood were performed for each patient. All data collected were used for ANOVA statistic interpretation. Results: The total cholesterol and glycemia were found to be statistically significant (p < 0.028, and p < 0.03, respectively), with a high level in patients with severe KOA compared to healthy ones. Patients from rural regions are 5.18 times more prone to develop severe KOA when compared to ones from urban areas. Conclusions: The results of the statistical analysis confirmed the correlation between the incidence and severity of KOA and the influence of increased values of BMI, glycemia, triglycerides, and total cholesterol. The investigations revealed a statistically significant influence of the environment of origin on the KOA degree of the patients.

Osteoarthritis: New Insight on Its Pathophysiology

Understanding of the basis of osteoarthritis (OA) has seen some interesting advancements in recent years. It has been observed that cartilage degeneration is preceded by subchondral bone lesions, suggesting a key role of this mechanism within the pathogenesis and progression of OA, as well as the formation of ectopic bone and osteophytes. Moreover, low-grade, chronic inflammation of the synovial lining has gained a central role in the definition of OA physiopathology, and central immunological mechanisms, innate but also adaptive, are now considered crucial in driving inflammation and tissue destruction. In addition, the role of neuroinflammation and central sensitization mechanisms as underlying causes of pain chronicity has been characterized. This has led to a renewed definition of OA, which is now intended as a complex multifactorial joint pathology caused by inflammatory and metabolic factors underlying joint damage. Since this evidence can directly affect the definition of the correct therapeutic approach to OA, an improved understanding of these pathophysiological mechanisms is fundamental. To this aim, this review provides an overview of the most updated evidence on OA pathogenesis; it presents the most recent insights on the pathophysiology of OA, describing the interplay between immunological and biochemical mechanisms proposed to drive inflammation and tissue destruction, as well as central sensitization mechanisms. Moreover, although the therapeutic implications consequent to the renewed definition of OA are beyond this review scope, some suggestions for intervention have been addressed.

Interactions between diabetes mellitus and osteoarthritis; from animal studies to clinical data

Diabetes mellitus (DM) and osteoarthritis (OA) are commonly known metabolic diseases that affect a large segment of the world population. These two conditions share several risk factors such as obesity and aging; however, there is still no consensus regarding the direct role of DM on OA development and progression. Interestingly, both animal and human studies have yielded conflicting results, with some showing a significant role for DM in promoting OA, while others found no significant interactions between these conditions. In this review, we will discuss preclinical and clinical data that assessed the interaction between DM and OA. We will also discuss possible mechanisms associated with the effect of high glucose on the articular cartilage and chondrocytes. An emerging theme dominates the breath of published work in this area: most of the studies discussed in this review do not take into consideration the role of other factors such as the type of diabetes, age, biological sex, type of animal model, body mass index, and the use of pain medications when analyzing and interpreting data. Therefore, future studies should be more rigorous when designing experiments looking at DM and its effects on OA and should carefully account for these confounding factors, so that better approaches can be developed for monitoring and treating patients at risk of OA and DM. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Association between type 2 diabetes status and osteoarthritis in adults aged ≥ 50 years

BACKGROUND

Increasingly, studies have addressed the possible association between type 2 diabetes mellitus (T2DM) and osteoarthritis (OA), although this remains an issue of controversy. Our aim in this study was to investigate the association between T2DM and OA among 7781 adults ≥50 years of age, through a cross-sectional analysis of the National Health and Nutrition Examination Survey from 2011 through 2018.

METHODS

Amultivariable logistic regression model was used to evaluate the association between T2DM or prediabetes status and OA, with subgroup analyses performed, stratified by age, sex, body mass index (BMI), and race.

RESULTS

Of the 7781 participants enrolled, 1567 (20.1%) had T2DM, 3131 (40.3%) had prediabetes, and 3083 (39.6%) were normal. A significant positive association was identified between T2DM and OA, after adjusting for age, sex, and race. This association, however, was no longer significant after adjusting for BMI. In the fully-adjusted model, there were no significant association between T2DM and OA.

CONCLUSIONS

Our findings showed no association between T2DM and OA. The association between T2DM and OA can be strongly confounded by BMI.

Food sources of dietary fibre and risk of total knee replacement related to severe osteoarthritis, the Singapore Chinese Health Study

Objectives

We aimed to evaluate the association between fibre intake and its food sources, and the risk of total knee replacement (TKR) due to severe knee osteoarthritis (KOA).

Methods

We used data from the Singapore Chinese Health Study, a prospective cohort study that recruited 63 257 participants aged 45–74 years from 1993 to 1998. At baseline, we assessed diet using a validated 165-item semiquantitative food frequency questionnaire, together with body mass index (BMI) and lifestyle factors. Incident TKR cases were identified via record linkage with nationwide hospital discharge database through 2017.

Results

There were 2816 cases of incident TKR due to severe KOA. The total fibre intake at baseline was not associated with the risk of TKR after adjustment for confounders. Among the food sources of fibre, higher intake of legumes was associated with a lower risk of TKR in a dose-dependent manner; compared with those having the lowest quartile intake, HR (95% CI) was 0.86 (0.76, 0.96) for those having the highest quartile intake (p for trend=0.004). This association was consistent after including BMI in the model and homogeneous across BMI categories. The consumption of other fibre sources, namely grain products, nuts and seeds, soy food, fruits and vegetables, was not associated with the risk of TKR.

Conclusion

Intake of legumes, but not total fibre, was associated with a reduced risk of TKR. Further research is needed to replicate our findings and to evaluate possible biological mechanisms that could explain the effect of dietary legumes on pathogenesis or progression of KOA.

Diabetes mellitus is not a risk factor for osteoarthritis

BACKGROUND

Association between diabetes mellitus (DM) and risk of osteoarthritis (OA) can be confounded by body mass index (BMI), a strong risk factor for both conditions. We evaluate the association between DM or hyperglycaemia with OA using systematic review and meta-analysis.

METHODS

We searched PubMed and Web of Science databases in English for studies that gave information on the association between DM and OA. Two meta-analysis models were conducted to address: (1) risk of DM comparing subjects with and without OA and (2) risk of OA comparing subjects with and without DM. As far as available, risk estimates that adjusted for BMI were used.

RESULTS

31 studies with a pooled population size of 295 100 subjects were reviewed. 16 and 15 studies reported positive associations and null/ negative associations between DM and OA. 68.8% of positive studies had adjusted for BMI, compared with 93.3% of null/negative studies. In meta-analysis model 1, there was an increase prevalence of DM in subjects with OA compared with those without (OR 1.56, 95% CI 1.28 to 1.89). In meta-analysis model 2, there was no increased risk of OA (OR 1.14, 95% CI 0.98 to 1.33) in subjects with DM compared with those without, regardless of gender and OA sites. Comparing subjects with DM to those without, an increased risk of OA was noted in cross-sectional studies, but not in case-control and prospective cohort studies.

CONCLUSIONS

This meta-analysis does not support DM as an independent risk factor for OA. BMI was probably the most important confounding factor.

Association between current medication use and progression of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative

Objective

Use of specific medications may accelerate the progression of radiographic knee OA (RKOA). Our aim was to examine the effect of medication use on the progression of RKOA.

Methods

We used longitudinal data from the Osteoarthritis Initiative (OAI), an observational study of risk factors for knee OA. At baseline, we selected participants with RKOA (Kellgren–Lawrence grade ≥2) and excluded those with a history of knee-related injury/surgery and other musculoskeletal disorders. Current medication use (use/non-use in the previous 30 days) and radiographic medial minimum joint space width (mJSW) data were available at baseline and annually up to 96 months follow-up. We used random effects, panel regression to assess the association between current medication use (non-users as reference group) and change in mJSW.

Results

Of 2054 eligible participants, 2003 participants with baseline mJSW data were included [55.7% female, mean age 63.3 (s.d. 8.98) years]. Of seven medication classes, at baseline NSAIDs were the most frequently used analgesia (14.7%), anti-histamine (10.4%) use was frequent and the following comorbidity medications were used most frequently: statins (27.4%), anti-hypertensives (up to 15.0%), anti-depressant/anxiolytics/psychotropics (14.0%), osteoporosis-related medication (10.9%) and diabetes-related medication (6.9%). Compared with current non-users, current use of NSAIDs was associated with a loss of mJSW (b = −0.042, 95% CI −0.08, −0.0004). No other associations were observed.

Conclusions

In current users of NSAIDs, mJSW loss was increased compared with current non-users in participants with RKOA. Clinical trials are required to assess the potential disease-modifying effects of these medications.

Metabolic syndrome, hypertension, and hyperglycemia were positively associated with knee osteoarthritis, while dyslipidemia showed no association with knee osteoarthritis

OBJECTIVE

Metabolic syndrome (MetS) is a clustering of at least three of the following four medical conditions: obesity, hypertension, dyslipidemia, and hyperglycemia. We aimed to discover the relationships between these diseases and osteoarthritis (OA) of the knee.

METHODS

We searched four databases (EMBASE, PubMed, Cochrane Library, and MEDLINE), as well as articles on websites and conference materials. Study effect estimates and their 95% confidence intervals (CIs) were extracted and calculated. Sensitivity analyses were undertaken to determine inter-study heterogeneity. Finally, we tested for publication bias to determine whether the outcome of the meta-analysis was robust.

RESULTS

A total of 1609 articles were identified, 40 of which were included. In radiological studies, the relationships with OA were increased for people with the following diseases: metabolic syndrome (OR 1.418, 95% CI 1.162 to 1.730), hypertension (OR 1.701, 95% CI 1.411 to 2.052), and hyperglycemia (OR 1.225, 95% CI 1.054 to 1.424). In symptomatic studies, the outcomes were similar in metabolic syndrome (OR 1.174, 95% CI 1.034 to 1.332) and hypertension (OR 1.324, 95% CI 1.186 to 1.478) studies, while there were no associations in hyperglycemia (OR 0.975, 95% CI 0.860 to 1.106) studies. There was no correlation between dyslipidemia and OA, whether in radiological studies (OR 1.216, 95% CI 0.968 to 1.529) or symptomatic studies (OR 1.050, 95% CI 0.961 to 1.146).

CONCLUSIONS

In both studies, metabolic syndrome and hypertension were positively associated with knee OA, and dyslipidemia showed no correlations. Hyperglycemia was associated with OA in radiological studies, while results were reversed in symptomatic studies. Key Points • The hypothesis that metabolic syndrome and its components increase the risk for knee osteoarthritis is attractive; thus, this meta-analysis may help us find out the answer. • There were lots of large-scale studies here, and the total participants were considerable; and this meta-analysis was relatively robust because of reasonable heterogeneity and publication bias. • Targeted education and effective management of risk factors may be helpful for reducing the prevalence of knee osteoarthritis.

Insulin Resistance in Osteoarthritis: Similar Mechanisms to Type 2 Diabetes Mellitus

Osteoarthritis (OA) and type 2 diabetes mellitus (T2D) are two of the most widespread chronic diseases. OA and T2D have common epidemiologic traits, are considered heterogenic multifactorial pathologies that develop through the interaction of genetic and environmental factors, and have common risk factors. In addition, both of these diseases often manifest in a single patient. Despite differences in clinical manifestations, both diseases are characterized by disturbances in cellular metabolism and by an insulin-resistant state primarily associated with the production and utilization of energy. However, currently, the primary cause of OA development and progression is not clear. In addition, although OA is manifested as a joint disease, evidence has accumulated that it affects the whole body. As pathological insulin resistance is viewed as a driving force of T2D development, now, we present evidence that the molecular and cellular metabolic disturbances associated with OA are linked to an insulin-resistant state similar to T2D. Moreover, the alterations in cellular energy requirements associated with insulin resistance could affect many metabolic changes in the body that eventually result in pathology and could serve as a unified mechanism that also functions in many metabolic diseases. However, these issues have not been comprehensively described. Therefore, here, we discuss the basic molecular mechanisms underlying the pathological processes associated with the development of insulin resistance; the major inducers, regulators, and metabolic consequences of insulin resistance; and instruments for controlling insulin resistance as a new approach to therapy.

Traditional Chinese medicine therapy reduces the risk of total knee replacement in patients with knee osteoarthritis

Knee osteoarthritis is a degenerative disease occurring in elderly people worldwide. For severe knee osteoarthritis, total knee replacement is the final treatment option. Traditional Chinese medicine (TCM) is popular in Taiwan and has been shown to exert therapeutic effects on knee osteoarthritis. We investigated the long-term clinical effects of TCM for reducing the need for total knee replacement risk in patients with knee osteoarthritis.We used the National Health Insurance Research Database to conduct a retrospective study of patients with knee osteoarthritis between 1997 and 2003 in Taiwan. Data from the date of diagnosis of knee osteoarthritis to total knee replacement were assessed using the Cox regression proportional hazards model, and the Kaplan-Meier survival curve was used to determine the association between total knee replacement risk and TCM use.A total of 34,231 patients with knee osteoarthritis, who were diagnosed by orthopedic or rehabilitation physicians between 1997 and 2003 were included. Patients were categorized into 2 groups: 26,257 (76.7%) were TCM users and 7974 (23.3%) were TCM non-users. The mean follow-up period was 9.26 years. Multivariate regression demonstrated that using TCM may decrease the need for total knee replacement in patients with knee osteoarthritis (adjusted hazards ratio [aHR] = 0.69, 95% confidence interval [95% CI]: 0.64-0.77) compared with TCM non-users. A relationship between longer TCM use and reduced total knee replacement use was observed, especially in patients who used TCM for ≥120 days (aHR = 0.49, 95% CI: 0.42-0.56).The results of this study suggested that TCM is associated with a reduced risk of total knee replacement in patients with knee osteoarthritis, with enhanced benefits from longer durations of TCM use.

Cartilage Oligomeric Matrix Protein Levels in Type 2 Diabetes Associated with Primary Knee Osteoarthritis Patients

AIMS

(1) To evaluate the association between type 2 diabetes mellitus (T2D) and primary knee osteoarthritis (KOA); and (2) to compare synovial fluid (SF) cartilage oligomeric matrix protein (COMP) concentrations and glycemic control parameters in patients with T2D, with and without primary KOA.

METHODS

A total of 231 individuals were included in this study. Primary KOA was confirmed according to the criteria established by the American College of Rheumatology. The presence of T2D was determined by medical history. In addition, fasting plasma glucose and glycated hemoglobin were analyzed to confirm diabetic and nondiabetic status.

RESULTS

Our results showed an association between T2D and primary KOA after covariate adjustments (OR = 3.755, p = 0.000024, 95% CI: 2.033-6.934). In addition, SF COMP levels were significantly higher in T2D groups with and without primary KOA (p = 0.00035; p = 0.001 respectively) when compared to nonT2D controls.

CONCLUSION

This study suggests a strong association between T2D and primary KOA; in addition, the presence of T2D may have an influence in SF COMP levels in subjects with and without primary KOA. The glycemic control parameters and duration of diabetes may be useful as an indirect indicator of SF COMP levels to prevent the effects of chronic exposure to hyperglycemia and subsequent damage to the articular cartilage.

A flexible enzyme-electrode sensor with cylindrical working electrode modified with a 3D nanostructure for implantable continuous glucose monitoring

A novel cylindrical flexible enzyme-electrode sensor was fabricated with a bigger working electrode (WE) surface than the traditional pin-like one for implantable continuous glucose monitoring. On the WE surface, a 3D nanostructure consisting of graphene and platinum nanoparticles was constructed to enhance the sensitivity; in conjunction with the bigger WE, this nanostructure enabled hypoglycemia detection, which is still a big challenge in clinics. The cylindrical sensor was fabricated by rotated inkjet printing which enabled direct patterning of microstructures on a curved surface, thus overcoming the restriction of the traditional planar micromachining by photolithography. Specifically, the cylindrical substrate (polyetheretherketone, PEEK) was modified by (3-aminopropyl) trimethoxysilane and (3-mercaptopropyl) trimethoxysilane to facilitate surface wettability, which discourages the coalescence of adjacent droplets, and to facilitate the adhesion of metals to PEEK in order to construct robust electrodes. A synchronous heating method was used to evaporate the solvent of the droplets quickly to prevent them from running along the cylindrical surface, which affects the formation of the printed electrode significantly. In vitro experimental results showed that the proposed sensor was able to detect the glucose concentration ranging from 0 to 570 mg dL^-1 which demonstrated its capability for physiological glucose detection. In vivo experiments were conducted with rats, and the measurement results recorded using the implanted cylindrical sensor showed great compliance to those recorded using a commercial glucometer which exhibited the viability of the proposed sensor for implantable continuous glucose monitoring, even under the hypoglycemic conditions.

Effects of medication-treated diabetes on incidence and progression of knee osteoarthritis: a longitudinal analysis of the Osteoarthritis Initiative data

Diabetes has been proposed as a factor involved in the pathogenesis of osteoarthritis (OA). Currently, there is a lack of research evaluating the prospective impact of diabetes on OA structural outcomes. In this study, we assessed the effects of medication-treated diabetes on incidence and progression of knee OA. We analysed longitudinal data from the multi-center, longitudinal, prospective observational Osteoarthritis Initiative (OAI) study. The main outcomes were radiographic OA incidence (development of Kellgren-Lawrence grade 2 with joint space narrowing, JSN) and progression (increase in semiquantitative JSN or a new knee replacement). For the study of incidence, we selected participants with KL <2 or /KL = 2 without JSN at baseline (incidence sample). To evaluate progression, we selected participants with baseline JSN <3 (progression sample). We used generalized estimating equations (GEE) logistic regression with adjustment for potential confounders to evaluate the effects of medication-treated diabetes on knee OA incidence and progression. We studied 3725 knees (3498 non-diabetic and 228 diabetic) in the incidence sample and 3594 knees (3335 non-diabetic and 259 diabetic) in the progression sample. Medication-treated diabetes did not have an effect on knee OA incidence (odds ratio, OR 0.53, 95% confidence interval, CI 0.23-1.5). There was an independent association between medication-treated diabetes and reduced progression of knee OA [OR 0.66, 95% CI (0.44-0.98)]. Medication-treated diabetes has no effect on knee OA incidence but reduces knee OA progression. The role of diabetes and anti-diabetic drugs in knee OA progression needs further exploration.