Abstract
Acarbose has been found to decrease some inflammatory parameters in diabetic patients. This study aimed to examine the influence of acarbose on rheumatoid arthritis (RA) risk in diabetes mellitus (DM) patients and on the incidence and severity of collagen-induced arthritis (CIA) in mice. In a nationwide, matched case–control study, we identified 723 incident RA cases and selected 7,230 age-, sex- and RA diagnosis date–matched controls from all newly treated DM patients. We found that use of acarbose at > 16,950 mg per year was associated with a lower RA risk (odds ratio 0.60; 95% CI, 0.41–0.89). In the CIA mouse study, acarbose was orally administered from days -7 to 38 relative to type II collagen (CII) immunization. The results revealed that acarbose at the dose of 500 mg/kg/day attenuated the incidence and severity of arthritis and the expression of proinflammatory cytokines, including TNF-α, IL-6 and IL-17 in the paw tissues. Acarbose further decreased the productions of anti-CII-IgG, IL-17 and IFN-γ by collagen-reactive lymph node cells. This work suggests that the use of acarbose decreased RA risk in DM patients and the incidence of CIA in mice. Acarbose also attenuated the severity of CIA via anti-inflammatory and immunomodulatory effects.
Rheumatoid arthritis (RA) is a common autoimmune, chronic inflammatory rheumatic disease characterized by progressive joint damage1,2. Accumulating evidence indicates that cellular and humoral immune responses to citrullinated proteins may lead to the development of RA3. The primary RA treatment strategy is the use of disease-modifying anti-rheumatic drugs (DMARDs), including biologic agents4,5. However, there are still some patients who show inadequate responses or are intolerance of the currently available DMARDs. Furthermore, concerns regarding high costs and increased infection risks limit the extensive application of biologic agents6. Therefore, there exists an unmet need to discover an inexpensive and safe new DMARD that can be widely used for RA therapy.
The alpha-glucosidase inhibitor acarbose is an inexpensive and well-tolerated drug that has been widely used to treat diabetes mellitus (DM) for more than 20 years7. The primary effect of this drug is to reduce post-prandial hyperglycemia8. The glucose-lowering effect of acarbose is better in Asian populations than in Western populations9, and acarbose has been found to exhibit an efficacy similar to that of metformin in China10. Acarbose is a pseudo-carbohydrate that competitively inhibits alpha-glucosidases in the brush border of the small intestine. This inhibition delays carbohydrate breakdown in the gut and retards sugar absorption11,12. The use of acarbose without other anti-diabetic drugs does not induce hypoglycemia7. In addition to its anti-diabetic effect, acarbose has been found to decrease some inflammatory parameters in diabetic patients13,14. Due to its anti-inflammatory effect, acarbose also attenuates the risks of cardiovascular disease15. For this reason, we hypothesized that acarbose may also possess the potential to reduce the risk of RA development or treat RA. To date, no study has investigated whether acarbose can decrease RA risk. Moreover, the anti-arthritis effects of acarbose have not been studied using animal models of RA.
Recently, the Taiwanese National Health Insurance Research Database (NHIRD) made population-based longitudinal studies feasible. We have successfully utilized the NHIRD to conduct several epidemiologic studies of RA16,17,18. The first part of the present study aimed to conduct a population-based, matched case-control study to examine the potential RA-protective effect of acarbose using the NHIRD. Additionally, murine collagen-induced arthritis (CIA) is a T cell–dependent, antibody-mediated autoimmune disease that is directed against cartilage type II collagen (CII)19. CIA has been widely used to provoke arthritis that exhibits many clinical, histological and immunopathological features of human RA20. The CIA model has been extensively used to investigate the therapeutic effects of new drugs for RA21. Therefore, the second part of this study sought to investigate the potential CIA-protective effect of acarbose and its potential anti-arthritis, anti-inflammatory and immunomodulatory effects in CIA mice. We induced CIA in DBA/1 mice via the immunization of the mice with CII in Freund’s complete adjuvant22,23. We compared the CIA incidences following CII immunization between the groups that were treated with acarbose (100 mg/kg/day or 500 mg/kg/day) or water (controls) prior to the CII immunization. The anti-arthritis effect of acarbose was examined by comparing visual scores of the paws between the acarbose-treated groups and controls. We investigated the anti-inflammatory effect of acarbose by comparing joint histologies and the proinflammatory cytokine levels in arthritic paw extracts between the acarbose-treated groups and controls using enzyme-linked immunosorbent assay (ELISA) assays. The immunomodulatory effect of acarbose was investigated by comparing the CII–specific antibodies in the serum and the proliferative responses/cytokine production in the lymph node (LN) cells between the acarbose-treated groups and controls.
Results
Population-based case-control study
Demographic data
We performed a nationwide, population-based case-control study using the NHIRD. During the period of 2001–2010, we identified 723 newly diagnosed RA cases (aged ≥ 16 years) from among all of the newly treated DM patients who received at least one year of anti-diabetic therapy. We randomly selected 7,230 DM patients by matching these RA cases with controls in terms of age, gender and RA diagnosis date. Table 1 illustrates the demographic data including gender, age, and geographic region. The female-to-male ratio was 2.5:1. The means ± the standard deviations (SD) of the ages were 61.7 ± 10.8 years for the RA cases and 61.8 ± 10.5 years for the controls. The majority of patients (94.8%) were more than 45 years old. The geographic regions from which the patients were enrolled in the National Health Insurance were classified into the following four regions: northern, central, southern and eastern. A chi-square test did not reveal any significant difference in the geographic region distributions between the RA cases and controls (p = 0.085).
Table 1. Demographic data of RA cases and matched controls.
RA cases (n = 723) |
Controls (n = 7,230) |
|||
---|---|---|---|---|
Number | % | Number | % | |
Gender | ||||
Female | 517 | 71.5 | 5,170 | 71.5 |
Male | 206 | 28.5 | 2,060 | 28.5 |
Age, years (mean ± SD) | 61.7 ± 10.8 | 61.8 ± 10.5 | ||
Age groups, years | ||||
16–25 | 2 | 0.3 | 20 | 0.3 |
26–35 | 5 | 0.7 | 50 | 0.7 |
36–45 | 31 | 4.3 | 310 | 4.3 |
46–55 | 165 | 22.8 | 1,650 | 22.8 |
56–65 | 247 | 34.2 | 2,470 | 34.2 |
>65 | 273 | 37.8 | 2,730 | 37.8 |
Geographic region | ||||
Northern | 301 | 41.6 | 3,261 | 44.5 |
Central | 155 | 21.4 | 1,680 | 23.2 |
Southern | 247 | 32.7 | 2,173 | 30.1 |
Eastern | 20 | 2.8 | 161 | 2.2 |
Abbreviations: RA, rheumatoid arthritis; SD, standard deviation. The Chi-square test was used to compare the proportions of categorical variables between RA cases and controls. The t-test was used to compare the continuous variables between RA cases and controls. A P-value of <0.05 was considered statistically significant.
Clinical characteristics
Table 2 provides a comparison of the clinical characteristics of the RA cases and controls. Chi-square tests were used to examine the categorical variables, and the continuous variables were examined with t-tests; the examined variables included the use of anti-diabetic drugs and statins within one year prior to the index date, DM duration on the index date, and DM end-organ disease. The proportions of RA patients using metformin, thiazolidinediones (TZD), insulin, and sulphonylurea/meglitinide were greater than those of the controls. The RA patients exhibited longer DM durations than the controls. Moreover, a greater proportion of the RA cases had DM end-organ disease (International Classification of Diseases, 9th Revision, Clinical Modification [ICD9-CM] code 250.1-9) compared with the controls (42.6% vs. 3.8%, p < 0.001). The mean Charlson comorbidity index (CCI) was greater in the RA cases than in the controls. The RA cases exhibited a higher proportion of periodontitis (ICD9-CM: 523.3–5) than the controls. The mean ± SD days of anti-diabetic drug use and statin use during the one year prior to the index date in the RA cases and controls are provided in Supplementary Table S1 online. A t-test revealed that the annual drug prescription days were significantly longer for metformin, insulin, and sulphonylurea/meglitinide in the RA cases compared with the controls. However, the annual acarbose prescription days were not significantly different between the RA cases and controls.
Table 2. Clinical characteristics of RA cases and controls.
RA cases (n = 723) |
Controls (n = 7,230) |
P-value | |||
---|---|---|---|---|---|
Number | % | Number | % | ||
Anti-diabetic drug user* | 517 | 71.5 | 5,170 | 71.5 | |
α-Glucosidase inhibitors | |||||
Acarbose | 0.156 | ||||
Non-user | 655 | 90.6 | 6,632 | 91.7 | |
Low-dose user | 40 | 5.5 | 293 | 4.1 | |
High-dose user | 28 | 3.6 | 305 | 4.2 | |
Miglitol | 0 | 0.0 | 8 | 0.1 | 1.000 |
Sulphonylurea/meglitinide user | 363 | 50.2 | 3,083 | 42.6 | <0.001 |
Metformin user | 447 | 61.8 | 4,071 | 56.3 | 0.004 |
TZD user | 70 | 9.7 | 544 | 7.5 | 0.038 |
Insulin user | 46 | 6.4 | 191 | 2.6 | <0.001 |
Statin* | 185 | 25.6 | 1,762 | 24.4 | 0.468 |
DM duration, years (mean ± SD) | 3.9 ± 2.2 | 2.6 ± 1.8 | <0.001 | ||
DM end-organ disease (ICD9-CM: 250.1–9)* | 308 | 42.6 | 278 | 3.8 | <0.001 |
Charlson comorbidity index* (mean ± SD) | 4.7 ± 2.5 | 0.5 ± 1.7 | <0.001 | ||
Periodontitis*,† (ICD9-CM: 523.3–5) | 137 | 18.9 | 1,333 | 18.4 | 0.735 |
Abbreviations: RA, rheumatoid arthritis; TZD, Thiazolidinediones; DM, diabetes mellitus; SD, standard deviation; ICD9-CM, International Classification of Diseases, 9th Revision, Clinical Modification.
Acarbose use was further categorized as low- or high-dose based on the median annual cumulative dose (i.e., ≤16,950 mg, >16,950 mg).
*Data were collected during the one year before the index date.
†Patients received antibiotic treatment, or periodontal treatment other than dental scaling, or dental scaling more than twice per year. The Chi-square test was used to compare the proportions of categorical variables between RA cases and controls. The t-test was used to compare the continuous variables between RA cases and controls. A p-value of <0.05 was considered statistically significant.
RA-protective effect of acarbose
Table 3 provides the multivariate adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for the RA risks associated with acarbose and other variables in the newly treated DM patients. Miglitol use was not included in the variables in Table 3 because none of the RA cases used miglitol. Because this was a matched case-control study, a conditional logistic regression model was applied to calculate the ORs with the 95% CIs. A two-tailed p-value of <0.05 was considered statistically significant in the study. Therefore, a protective effect was deemed significant if the OR was less than 1 and the corresponding 95% CI did not include 1.
Table 3. Multivariate adjusted ORs (95% CIs) for RA risk associated with acarbose and other variables in newly treated DM patients.
Variable | Model 1 | Model 2 |
---|---|---|
Anti-diabetic drug users* | ||
Acarbose user | ||
No | 1 | 1 |
Yes | 0.79 (0.61–1.03)* | |
Low-dose user | – | 1.00 (0.72–1.39) |
High-dose user | – | 0.60 (0.41–0.89) |
Sulphonylurea/meglitinide user | ||
No | 1 | 1 |
Yes | 1.07 (0.91–1.25) | 1.08 (0.92–1.26) |
Metformin user | ||
No | 1 | 1 |
Yes | 1.27 (1.08–1.50) | 1.26 (1.06–1.49) |
TZD user | ||
No | 1 | 1 |
Yes | 0.96 (0.74–1.25) | 0.96 (0.74–1.24) |
Insulin user | ||
No | 1 | 1 |
Yes | 0.64 (0.46–0.89) | 0.62 (0.45–0.87) |
Statin user | ||
No | 1 | 1 |
Yes | 1.14 (0.96–1.35) | 1.14 (0.96–1.36) |
DM duration, each incremental year | 1.22 (1.18–1.26) | 1.22 (1.18–1.27) |
DM end-organ disease (ICD9-CM: 250.1–9) | 2.66 (2.22–3.18) | 2.67 (2.23–3.19) |
No | ||
Yes | ||
Charlson comorbidity index, each incremental score | 1.28 (1.26–1.31) | 1.28 (1.26–1.31) |
Geographic region | ||
Northern | 1 | 1 |
Central | 0.97 (0.80–1.19) | 0.97 (0.79–1.18) |
Southern | 0.98 (0.82–1.17) | 0.98 (0.82–1.17) |
Eastern | 1.18 (0.74–1.89) | 1.18 (0.73–1.88) |
Periodontitis | ||
No | 1 | 1 |
Yes | 1.11 (0.91–1.35) | 1.11 (0.91–1.35) |
Abbreviations: RA, rheumatoid arthritis; DM, diabetes mellitus; TZD, thiazolidinediones; ICD9-CM, International Classification of Diseases, 9th Revision, Clinical Modification. Conditional logistic regression model was used to conduct the analyses, and all variables listed in the table were adjusted. In model 1, acarbose user was categorized as non-user and user. In model 2, acarbose use was further categorized as low- or high-dose based on the median annual cumulative dose (i.e., ≤16,950 mg, >16,950 mg).
*P = 0.079.
In the multivariate analysis, all of the variables listed in Table 3 were used as covariates to adjust the influence of each variable on the RA risk. In Model 1, the patients were categorized as acarbose users and non-users. Acarbose use regardless of a dose did not exhibit a significant protective effect, whereas, but insulin use did. Metformin use, longer DM duration, the presence of DM end-organ disease and higher CCI were statistically significant risk factors for RA. Although periodontitis and residence in the eastern geographic region also exhibited trends toward increases in RA risk, these associations did not reach statistical significance. In Model 2, acarbose use was further categorized as low- or high-dose based on the median annual cumulative dose (i.e., ≤16,950 mg, >16,950 mg). High-dose acarbose users exhibited a significantly lower risk of RA compared with the non-users (OR, 0.60; 95% CI, 0.41–0.89) but the low-dose users did not. Metformin use, longer DM duration, the presence of DM end-organ disease and higher CCI were still significantly associated with a lower RA risk. The correlations of acarbose use with the uses of the other anti-diabetic drugs and statins are summarized in Supplemental Table S2 online. A higher proportion of acarbose users concurrently used other antidiabetic drugs and statins compared with the acarbose non-users. The multivariate adjusted ORs with 95% CIs for the RA risk associated with acarbose use among the different subgroups are summarized in Supplemental Table S3 online. We conducted stratified analyses based on the following factors: (1) gender (man or woman): (2) age (≤65 years, >65 years), (3) periodontitis, (4) sulphonylurea/meglitinide use, (5) metformin use, (6) TZD use, (7) insulin use, and (8) statin use. A Wald test was used to evaluate the possible modification of the acarbose associated-RA protective effect. Although the RA-protective effect of high-dose acarbose seemed to be stronger in patients aged >65 years and in statin non-users, no significant modification effects were found.
Animal study
Acarbose reduces the incidence and severity of CIA
CIA was induced in DBA/1J mice via immunization with type II collagen and Freund’s complete adjuvant as previously described22,23. We fed the mice different doses of acarbose (100 mg/kg/day or 500 mg/kg/day) or water (as a control) daily from the days -7 to 38. After the booster immunization, we monitored the mice for the occurrence of clinical signs of arthritis. As shown in Fig. 1a, a log-rank test revealed a significantly lower incidence of CIA in the group that was treated with acarbose at 500 mg/kg/day than the water-treated controls. However, acarbose at 100 mg/kg/day did not have a CIA-protective effect. Figure 1b demonstrates that the mean number of involved paws was greater in the 500 mg/kg/day acarbose-treated group than in the controls from days 29–38. Additionally, Fig. 1c,d revealed that the mean arthritic score of the control mice was significantly higher than that of the 500 mg/kg/day acarbose-treated mice during days 27–38. However, there was no significant difference in the mean arthritis scores between the 100 mg/kg/day acarbose-treated CIA mice group and the controls.
Figure 1e displays the representative histological pictures of the involved knee joints in the normal DBA/1, control and acarbose (100 mg/kg/day or 500 mg/kg/day)-treated CIA mice at day 38. Severe infiltration by inflammatory cells, synovial hyperplasia, and bone/cartilage erosion were observed in the control and 100 mg/kg/day acarbose-treated mice. In contrast, the histologic features of synovitis were less severe and extensive in the mice that were treated with acarbose at 500 mg/kg/day. The severities of cell infiltration, synovial hyperplasia and cartilage/bone erosion were semi-quantitatively graded from 0 to 3 (0, normal; 1, minimal; 2, mild; 3 severe)24. As shown in Fig. 1f, compared with the control mice, the average histology scores of all three of the synovitis histologic features were higher in the 500 mg/kg/day acarbose-treated mice but not in the 100 mg/kg/day acarbose-treated mice. Together, these data suggest that acarbose at 500 mg/kg/day but not at 100 mg/kg/day was effective in reducing the incidence and severity of CIA.
Acarbose attenuated the inflammatory responses in CIA arthritic joints
CIA and RA share the characteristic feature of increased expression of pro-inflammatory cytokines, including tumor necrosis factor (TNF)-α, interleukin (IL)-6 and IL-17, in the joints25. Antagonism of these cytokines reduces the severity of arthritis26,27. Moreover, the anti-inflammatory cytokine IL-10 suppresses the disease processes of RA28. Therefore, we next investigated the effects of acarbose on the expression of TNF-α, IL-6, IL-17 and IL-10 in the arthritic paws of the CIA mice. The total cellular proteins of the diseased hind paws were extracted on day 38, and the levels of TNF-α, IL-6, IL-17 and IL-10 were measured by ELISA following standardization of the protein concentrations. Figure 2 reveals that the expression of proinflammatory cytokines, including TNF-α, IL-6, and IL-17, was significantly lower in the paws of the CIA mice treated with acarbose at 500 mg/kg/day compared with the paws of the control CIA mice. However, only IL-17 was significantly lower in the 100 mg/kg/day acarbose-treated mice than the controls. Additionally, there were no significant differences in IL-10 expression between the control group and the acarbose-treated groups (Fig. 2). Thus, these data suggested that acarbose at 500 mg/kg/day attenuates the inflammatory response in arthritic joints of CIA mice.
Acarbose reduced anti-CII antibody in the serum of the CIA mice
To further evaluate the immunomodulatory effect of acarbose, we examined the levels of CII-specific IgG Ab in CIA mice. The various dilution of serum (in two fold steps from 1:200 to 1:3,200) from 4 groups of mice bled on day 38 were measured via ELISA assay. As shown in Fig. 3a, the serum CII-specific IgG level in the 500 mg/kg/day acarbose-treated mice was significantly lower than that in the controls at the dilutions of 1/800 to 1/1,600. However, the IgG levels were not different between the 100 mg/kg/day-treated group and control group at any of the dilutions.
Acarbose modulated the CII-specific T cell response in CIA
We collected LN cells (5 × 105 cells/100 μl per well) from the arthritic hind limbs on day 38. In the presence of CII antigen, the in vitro proliferative responses and cytokine production were examined by [3H]-thymidine incorporation and ELISA, respectively. As shown in Fig. 3b, the mice treated with acarbose at the dose of 500 mg/kg/day but not those treated with 100 mg/kg/day exhibited less CII-specific lymphocyte proliferation than the controls. Compared with the controls, the levels of IFN-γ and IL-17 in the supernatants of the lymphocytes were significantly lower in the 500 mg/kg/day acarbose-treated mice but not in the 100 mg/kg/day acarbose-treated mice (Fig. 3c). The IL-10 levels in the lymphocyte supernatants were higher in the 500 mg/kg/day acarbose-treated mice than in the controls. There was no significant difference in the IL-2 levels between the controls and acarbose-treated groups.
Discussion
In the population-based study, we found that acarbose use with an annual cumulative dose of more than 16,950 mg (daily average dose 46.4 mg) decrease the risk of RA by 40% after adjusting for potential confounders. Notably, this RA-protective effect was not significantly different between the various subgroups that were stratified based on the patients’ characteristics, other anti-diabetic drug use or statin use. In the CIA study in the mice, we confirmed the arthritis-protective effect of acarbose at the dose of 500 mg/kg/day but not 100 mg/kg/day as evidenced by the decreased incidence and severity of arthritis following CII immunization. Acarbose at 500 mg/kg/day also exerted anti-inflammatory and immunomodulatory effects as revealed by the suppression of the expression of pro-inflammatory cytokines, including TNF-α, IL-6, and IL-17, in the arthritic paws, the level of CII-specific IgG autoantibodies, and the CII-specific CD4 + T cell responses. Consistent with the results of our animal study, Derosa et al. reported that acarbose decreases inflammatory markers, including IL-6, in Caucasian type 2 diabetic patients13. Additionally, Benli et al. found that acarbose reduces serum levels of inflammatory cytokines, including TNF-α, in Chinese type 2 diabetes patients14. However, no previous studies have used a CIA mouse model to investigate the anti-inflammatory effects of acarbose. Taken together, the results of our population-based human study and CIA mouse study indicate that the use of acarbose at more than a specific dose may have the potential to treat RA by modulating both cellular and humoral immune responses to antigens. Hence, it is reasonable to suggest acarbose as a candidate therapy for ameliorating RA activity.
Considering the possible mechanisms of the anti-inflammatory and immunomodulatory effects, it is important to note that acarbose is poorly absorbed12. Therefore, its anti-inflammatory and immunomodulatory effects are most likely attributable to extra-glycemic effects on the gut. First, acarbose has been demonstrated to regulate gut hormones, e.g., decreasing glucose-dependent insulinotropic polypeptide (GIP) and increasing glucagon-like peptide-1 (GLP-1) in the serum29,30,31,32. Previous studies have discovered that GIP has a pro-inflammatory effects in vivo33,34, whereas GLP-1 has anti-inflammatory effects in vitro and in vivo35,36,37. Recently, Chen et al. summarized the literature regarding the effects of gut hormones on inflammation, appetite and energy balance and suggested that gut hormones may play roles in RA38. Second, acarbose may interact with gut microbiota, which are possible extra-articular triggers of RA39. An in vitro study indicated that acarbose decreased the fraction of luminal Prevotella40, which has been reported to be expanded in the intestine of most DMARD-naïve incident RA patients41. A recent study also found that acarbose increased the fecal bifidobacteria content of patients with type 2 DM42. Additionally, probiotic Bifidobacterium breve treatment has recently been reported to induce IL-10-producing Tr1 cells in the colon via intestinal dendritic cells (DCs) and to reduce intestinal inflammation43. Third, the unabsorbed acarbose may have an effect on the intestinal immune system. Zhang et al. showed that acarbose can suppress proinflammatory cytokine expression in the gut by activating the miRNAs miR-10a-5p and miR-664 in diabetic rats44.
Compared with our previous case-control study on RA risk18, the patients recruited in the present population-based study were older because only DM patients were eligible for this study. Although periodontitis and eastern geographic region residence also exhibited trends toward an increase RA risk, these associations did not reach statistical significance as we had reported previously18. A secondary finding of this population-based study is that insulin use is also associated with a lower risk of RA. This result could be explained by the stated modulatory effect of insulin on toll-like receptors and inflammatory processes45,46. Another secondary finding is that metformin is associated with an increased RA risk. This finding was unexpected because previous studies have found metformin to be associated with decreased levels of inflammatory markers47,48. However, hyperhomocysteinemia, which is a potential side effect of metformin49, has been found to be associated with elevated levels of immune activation markers in RA patients50. However, further cohort studies and animal studies are warranted to confirm the influences of insulin and metformin on the risk of RA.
This study has some strengths. To the best of our knowledge, this study is the first to investigate the potential RA-protective and therapeutic effects of acarbose concurrently using population-based claims data and a CIA mouse model. The strength of the population-based study is that it minimized selection bias. The advantage of the CIA study is that it explored the in vivo anti-arthritis, anti-inflammatory and immunomodularty effects.
Some limitations of this research must be considered. First, although the BNHI regularly checks the quality of the claims to improve the accuracy of diagnoses, we cannot exclude the possibilities of miscoding- or misclassification-related bias. However, the diagnoses of RA were likely accurate in this study because a strict validation process that was conducted by reviewing radiographic and laboratory data was required prior to the issuing of a catastrophic illness certificate for RA patients. Second, the NHIRD lacked information regarding individual smoking status, which is potential confounder of RA. However, the non-differential misclassification bias related to smoking status would have biased the results toward the null. Third, the lack of laboratory data, such as serum glucose levels and glycated hemoglobin, in the NHIRD precluded the possibility of further adjustment via regression analyses. Fourth, the results of this population-based study in Taiwan might not be generalizable to other ethnic population.
Conclusion
We found that the oral administration of acarbose reduces the risk of RA development in DM patients and attenuates the incidence and severity of CIA in mice. Acarbose also decreased the production of CII-specific antibody production in serum and Th1/Th17-related proinflammatory cytokines in LN and increased the anti-inflammatory cytokine IL-10. These findings provide evidence favoring the anti-inflammatory effects and immumomodulatory effects of acarbose. Although our data support acarbose to be a potential DMARD for RA, future randomized clinical trials are needed to prove the efficacy of acarbose in the relief of RA activity.
Methods
Population-based case-control study
Ethics statement
The Ethics Committee for Clinical Research of Taichung Veterans General Hospital approved this study protocol. The methods were performed in accordance with the approved guidelines. Written informed consent was not obtained because all personally identifying information was eliminated from the dataset prior to analysis.
Data source
This nationwide, population-based, matched case–control study was conducted using 1999–2011 claims data from Taiwan’s National Health Insurance Research Database (NHIRD). The NHIRD comprises comprehensive encrypted healthcare data from more than 98% of Taiwan’s population that was released for research purposes. The NHIRD randomly selected one million enrollees in 2000 to form a representative database (LHID2000). The datasets used in this study consisted of claims of ambulatory care, inpatient services, enrollment files, dental services, prescriptions, and the NHI catastrophic illness files, all from 1999–2011. The NHI catastrophic illness data enrolled patients with devastating diseases, such as several potentially disabling autoimmune diseases, including RA. The medical charts of those who applied for catastrophic illness registration were reviewed by the Bureau of National Health Insurance (BNHI) routinely to validate the diagnoses. The RA diagnoses were verified by the American College of Rheumatology RA classification criteria (1987)51. Although the dataset lacked radiographic and laboratory data, the accuracy of coding has improved due to regular audits by the BNHI52.
Study samples
DM subjects
We defined the DM subjects as those who had initial DM diagnoses (ICD9-CM code 250.x) after January 1, 2000 with the concurrent prescriptions of any anti-diabetes medication for ≥28 days. The time of the initial anti-diabetes drug prescription was selected as the DM diagnosis date used to measure DM duration.
RA cases
We identified 24,429 newly diagnosed RA patients with a catastrophic illness certificate (aged ≥ 16 years at RA diagnosis) during 2001–2010. Because the lag time from the onset of symptoms to rheumatologist referral may have been up to one year53, we excluded those who developed RA within one year after beginning anti-diabetes treatment to minimize the possibility of reverse causality. From these RA patients, we identified a total of 723 patients who had DM histories of at least one year before the first date of RA diagnosis (index date) as the RA cases. The index date was used to calculate the patients’ ages (from birthday to the index date), DM duration, and to define the period of comorbidities and drug use.
Non-RA controls
The non-RA controls were selected from enrollees in the LHID2000. Matching RA cases (10 for every case) for age at RA diagnosis (16–25, 26–35, 36–45, 46–55, 56–65, >65 years), sex and the year of the index date were randomly extracted to arrive at 7,230 DM subjects as non-RA controls with DM durations of at least one year and no previous histories of RA diagnoses during 1999–2011. We selected the date of the first ambulatory visit as the index date for the controls.
Use of anti-diabetic drugs
Based on prescription records in the NHIRD, the patients who used acarbose, metformin, TZD, insulin or sulphonylurea/meglitinide for 28 days or more within one year prior to the index date were classified as acarbose users, metformin users, TZD users, insulin users or sulphonylurea/meglitinide users, respectively. We categorized acarbose users as high- or low-dose acarbose users according to the median annual cumulative dose (i.e., ≤16,950 mg, >16,950 mg).
Potential confounders
Geographic region, DM duration and DM end-organ disease (ICD9-CM codes 250.1–9) were included as potential confounders. The geographic region was selected because it was found to be associated with RA risk in our previous study18. The geographic regions were classified as northern, central, southern and eastern regions, according to the residential area when the patients were enrolled in the NHIRD. We used the DM duration and DM end-organ disease as proxies for the DM severity. DM duration was defined as the period from the date of initiating anti-diabetic drugs to the index date. Patients with ≥ two ambulatory visits with DM end-organ disease diagnoses (ICD9-CM codes 250.1–9) during the year prior to the index date were classified as DM end-organ disease subjects. Other potential confounders included CCI as adapted by Deyo et al.54, periodontitis as defined in our previous study18, and the use of statin drugs for ≥28 days within the year prior to the index date. Periodontitis was selected because it has been found to increase the risk of RA17,18. Statins were chosen as a potential confounder because their persistent use has been reported to reduce the RA risk55. We defined the presence of the comorbidities using the calculated CCI as defined by at least two ambulatory visits with the corresponding ICD9-CM diagnoses during the one year before the index date.
Animal study
Ethics statement
The Institutional Animal Care and Use Committee (IACUC) of National Chung Hsing University approved the experimental procedures (approved protocol no. NCHU-IACUC-104-027). The methods were performed in accordance with the approved guidelines.
Mice
The development of CIA is strain-dependent; the H-2q and H-2r haplotypes exhibit the greatest degrees of susceptibility56. The DBA/1 strain (H-2q) is the most commonly used strain in the CIA model for pre-clinical testing of potential anti-arthritic drugs22. Male DBA/1 mice at the age of 8–10 weeks were purchased from The Jackson Laboratories (Bar Harbor, ME, USA). All mice were housed in specific pathogen-free condition in our facility.
Induction of CIA
CIA was performed according to a previously described method with slight modifications57. In brief, chick collagen type II (CII, Chondrex Inc, Redmond, WA, USA) was dissolved overnight at 4 °C in cold 50 mM acetic acid to a concentration of 4 mg/ml and added dropwise to emulsify an equal volume of Freund’s complete adjuvant (CFA, Sigma-Aldrich, St. Louis, Mo, USA) containing 4 mg/ml of M. tuberculosis strain H37RA (Difco Laboratories Detroit, Michigan, USA). Experimental male DBA/1 mice were immunized intradermally at the base of the tail with 100 μl of emulsified chicken CII on day 0 and boosted 3 weeks later with the same agent and observed for up to 38 days post-primary immunization for clinical symptoms of arthritis.
Acarbose treatment
To investigate the preventive effects of acarbose (Alfa Asesar, Bona street, Ward Hill, MA, USA) in the CIA in mice, DBA/1 mice were randomly allocated into the following 3 groups (n = 12 in each group): a water-treated control group; a high-dose (500 mg/kg/day) acarbose-treated group; and a low-dose (100 mg/kg/day) acarbose-treated group. Water or acarbose were orally administered beginning 7 days before collagen immunization (day -7). At day 38 after immunization, the majority of the control mice had at least two out of four paws reaching the maximum arthritis score of 4 and had to be euthanized according to the approved ethical guidelines.
Clinical assessment of arthritis
We defined the development of CIA as the presence of at least one diseased paw58. The incidences of CIA between the acarbose-treated groups (100 mg/kg/day or 500 mg/kg/day) and controls were compared using the Kaplan-Meier method (survival analysis), and the significance of the difference was tested using the log-rank test. In the CIA model, the disease usually begins in one paw and then spread to the other paws, which indicated disease progression. We first counted the numbers of involved paws. Then, we quantified the severity of arthritis in each involved paw using an established visual semi-quantitative scoring system ranging from 0–4 per paw as previously described59. The arthritis scores of all of the involved paws of each mouse (maximum possible score 16) were used to represent the overall disease severity and progression as follows: 0 = normal joint, 1 = swelling of one joint (toe/wrist/ankle/footpath), 2 = swelling of more than one joint, 3 = swelling of all joints, and 4 = bursting of the skin/dysfunction or distortion of the joint. The clinical assessments were scored by two independent observers unaware of the mouse identities. Finally, we compared the mean numbers of diseased paws and the mean arthritis scores between the acarbose-treated group (100 mg/kg/day or 500 mg/kg/day) and the water-treated controls every other day from day 21 to day 38.
Histopathological analyses
To further evaluate the histological changes in the arthritic joints, the mice were euthanized at the end of the experiment (day 38). Representative knee joints were harvested from five randomly selected mice in each group (i.e., the normal DBA/1 mice, the water-treated CIA control mice, the 100 mg/kg/day acarbose-treated CIA mice, and the 500 mg/kg/day acarbose-treated CIA mice). Next, the joint tissues were fixed, decalcified, and embedded in paraffin. Each joint section (5 μM) was stained with hematoxylin and eosin (H&E) prior to observation by light microscopy according to methods published in the previous study60. Semi-quantitative histological scoring was performed to grade the cell infiltration, synovial hyperplasia, and cartilage/bone erosion based on a previously described system that was modified as follows: 0 = absent, 1 = mild, 2 = moderate, and 3 = severe24. Next, we compared the average scores for each synovitis histologic feature between the high-dose and low-dose acarbose-treated groups and the control group.
Measurement of the cytokine concentrations in arthritic hind paws
On day 38, the hind paws were removed from the normal DBA/1 mice, control and acarbose-treated (100 mg/kg/group or 500 mg/kg/group) CIA mice (n = 5 mice/group) and then frozen in liquid nitrogen. Before use, the frozen hind paws were thawed and cut into small pieces and resuspended in 1 ml phosphate buffered saline (PBS, pH 7.4) containing a 1x complete protease inhibitor cocktail tablet (Roche Diagonostic GmbH, Mannheim, Germany) and homogenized by shaking with 1.5-mm glass beads in a Mini-BeadBeater (BioSpec, Bartlesville, OK, USA) at 4,800 oscillations/min for 3 min. The tissue homogenates were centrifuged for 12000 x g for 15 min and collected and diluted to 1 mg tissue protein per ml (1 mg/ml) in homogenization buffer (PBS, pH 7.4, containing a protease inhibitor cocktail) as the stock solution. Total protein was determined by the micro bicinchoninic acid assay (BCA; Thermo scientific, Rockford, USA). TNF-α, IL-6, IL-17 and IL-10 cytokines quantifications in the 100 μl supernatants (total protein 100 μg) were determined by ELISA according the manufacturer’s instructions (PeproTech, Rocky Hill, NJ, USA). The concentrations of cytokines are expressed in ng/100 μg of total protein.
Analysis of anti-collagen type II IgG antibody production in serum
On day 38, blood samples drawn from the normal DBA/1 mice, control, or acarbose (100 mg/kg/day or 500 mg/kg/day)-treated CIA mice (n = 5 mice/group) were placed into tubes containing acid-citrate dextrose by retro-orbital sinus puncture and allowed to sit for one hour at room temperature to clot. Next, the serum was pooled and prepared by centrifugation of the blood at 1,000 x g for 10 minutes at RT. The CII-specific IgG in the serum was analyzed by the ELISA method. Briefly, each well of the ELISA 96-well microtiter plate (Nalge Nunc International, Thermo Fisher Scientific, NY, USA) coated with type II chicken collagen at 10 μg/mL in Tris-buffered saline (TBS) buffer (50 mM TrisHCl [GMbiolab Co, Taichung City, Taiwan], pH7.4, 150 mM NaCl [UR, New Taipei City, Taiwan]) overnight at 4 °C, followed by a blocking step with TBS buffer plus 0.05% (v/v) Tween 20 (Sigma-Aldrich, St. Louis, Mo, USA; TBS/Tween-20, pH 7.4) containing 3% bovine serum albumin (BSA, Sigma-Aldrich, St. Louis, Mo, USA) for 1 h at room temperature. After washing 3 times with phosphate buffered saline (PBS) plus 0.05% Tween 20 (PBS/Tween-20, pH 7.4), various serum dilutions (in two-fold steps from 1:200 to 1:3,200) in PBS/Tween-20 were then applied to the wells at 4 °C overnight, and the anti-CII antibodies were allowed to bind to the antigen. The wells were then washed with PBS/Tween-20 extensively, and the HRP-conjugated sheep anti-mouse IgG (Jackson Immunoresearch Laboratories, West Baltimore Pike, West Grove, PA, USA; diluted at 1:5,000 in PBS/Tween-20) was applied, unbound antibody was washed with PBS/Tween-20, and the plate was developed using TMB (3,3′,5,5′-tetramethylbenzidine) substrate (ebioscience Inc, San diego, CA) and the reaction was stopped with 4.5 N H2SO4. The optical density (OD) was determined at 450 nm with an ELISA reader (Tecan Sunrise, Durham, NC, USA).
T cell proliferation and cytokine production in lymph nodes
The mice were euthanized on day 38; the inguinal LNs of the hind limbs were collected from the normal DBA/1 mice, controls and acarbose (100 mg/kg/day or 500 mg/kg/day)-treated CIA mice (n = 5 mice/group). Single cell suspensions of LN cells were prepared by gentle mechanical disaggregation through 200 micron-mesh stainless steel gauze and resuspended in RPMI-1640 (Life technologies corporation, Grand Island, NY, USA) supplemented with fetal calf serum (Life technologies corporation, Grand Island, NY, USA) (10%), HEPES (Sigma-Aldrich, St. Louis, Mo, USA) (10 mM), sodium pyruvate (Life technologies corporation, Grand Island, NY, USA) (1 mM), 2-mercaptoethanol (Amresco, Solon lind Pkwy Solon, Ohio, USA) (50 mM), L-glutamine (Sigma-Aldrich, St. Louis, Mo, USA) (1%) and 100 units/ml of penicillin/streptomycin (Sigma-Aldrich, St. Louis, Mo, USA) (100 units/ml) and cultured in triplicate in 96-well flat-bottomed plates (5 × 105 cells/100 μl per well) with 40 μg/ml chicken CII for 64 h at 37 °C under 5% CO2 and then pulsed with 1 Ci [3H]thymidine (Perkin-Elmer, Boston, MA, USA) per well for another 18 h. When the cells proliferated, [3H]TdR was incorporated into the new strands of chromosomal DNA that were synthesized. The more cell divisions (or the higher the proliferation rate), the more radioactivity that was incorporated into the DNA. The radioactivity of the incorporated [3H]TdR was counted using a Matrix 9600 direct ionization beta counter (Packard Instrument, Meridian CT, USA). The results are expressed as the mean counts per minute (cpm). For the in vitro cytokine analysis, the inguinal LN cells (5 × 105 cells/100 μl per well) of the mice of different groups (n = 5 mice/group) were stimulated with 40 μg/ml CII under the same conditions used for the proliferation assay. After 48 h, the culture supernatants were collected, and the IL-17, IFN-γ, IL-2, and IL-10 productions were measured in triplicate using the ELISA Kits for mouse IFN-γ, IL-17, IL-2 and IL-10 according to manufacturer’s instructions (PeproTech, Rocky Hill, NJ, USA).
Statistical analysis
For the population-based case–control study, we compared the baseline characteristics between the RA cases and controls using a t-test for continuous variables and a chi-square or Fisher’s exact test for categorical variables. After adjusting for potential confounders, including other anti-diabetic drug use, DM duration (each incremental year), DM end-organ disease, CCI (each incremental score) and geographic region, conditional logistic regression was used to estimate the effect of acarbose on RA risk as shown by the ORs with 95% CIs. The significance of the modifications of acarbose associated with the RA-protective effect by gender, age, periodontitis, use of other anti-diabetic drug and statin use were examined using the Wald test to calculate the p-value of the coefficient associated with the product of the indicators of acarbose use and the subgroup. All statistical calculations in the population-based study were performed using SPSS version 18.0 for Windows (SPSS, Inc., Chicago, IL, USA). For the animal study, the Kaplan-Meier method was used to analyze the incidence of CIA in the acarbose-treated groups (100 mg/kg/day and 500 mg/kg/day) and controls. Moreover, the significance of the differences were tested with log-rank tests. To compare the continuous variables between the control group and the acarbose group, Mann-Whitney U-tests were conducted. All statistical analyses in the animal study were conducted using GraphPad Prism (version 5 for Windows; GraphPad Software, San Diego, CA, USA). A two-tailed p-value of <0.05 was considered statistically significant for all analyses in both the human and animal studies.
Additional Information
How to cite this article: Chen, H.-H. et al. Acarbose Decreases the Rheumatoid Arthritis Risk of Diabetic Patients and Attenuates the Incidence and Severity of Collagen-induced Arthritis in Mice. Sci. Rep. 5, 18288; doi: 10.1038/srep18288 (2015).
Supplementary Material
Acknowledgments
We thank for the assistance with the statistical analyses by the Biostatistics Task Force of Taichung Veterans General Hospital, Taichung, Taiwan. We also thank the members of the Bureau of National Health Insurance, Department of Health, and the National Health Research Institutes for the delivery and management, respectively, of the National Health Insurance Research Database. This study was supported by grant TCVGH-1043807C from Taichung Veterans General Hospital, Taiwan.
Footnotes
Author Contributions H.H.C., D.Y.C. and C.C.L. designed the study. H.H.C., D.Y.C. and K.L.L. conducted the clinical studies. C.C.L., Y.H.C. and C.L.W. conducted the experimental studies. C.H.L. conducted the statistical analysis. H.H.C. and C.C.L. analyzed the results and prepared the manuscript. H.H.C. and Y.M.C. edited the manuscript. All authors have reviewed the manuscript.
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