Understanding Chinese Medicine Patterns of Rheumatoid Arthritis and Related Biomarkers

Efficacy and safety of anti-obesity herbal medicine focused on pattern identification: A systematic review and meta-analysis

BACKGROUND

Herbal medicine based on pattern identification (PI) is used widely in Traditional Chinese Medicine. Proper herbal medicine based on PI has been suggested for effective weight reduction and decreasing the adverse events. This systematic review examined the effectiveness and safety of herbal medicine, focusing on PI in treating obesity.

METHODS

Eight electric databases were used for searching randomized controlled trials (RCT) (to August 31, 2021). RCTs which prescribed herbal medicine to obese patients based on PI were included. Body weight (BW) and body mass index (BMI) were the primary outcomes. The risk of bias was assessed using Cochrane risk of bias tool, and the meta-analysis was conducted. Grading the evidence was conducted by using GRADEpro.

RESULTS

Sixteen RCTs (1052 patients) were included: 2 studies compared herbal medicine to placebo (128 patients); 2 studies compared them to western medication (161 patients); 12 studies compared them with usual care (763 patients). The meta-analysis showed that the herbal formulas reduced the BW and BMI without significant Adverse events compared to the control group (BW: mean difference  = -4.10, 95% confidence interval: -5.14 to -3.06, I2 = 2% and BMI: mean difference = -1.53, 95% confidence interval: -1.88 to -1.19, I2 = 25%). Moderate-quality evidence on the primary outcomes was found.

CONCLUSIONS

Herbal medicine - has good clinical efficacy and safety in treating obesity. This study has limitations that some literatures with high risk of bias in blinding or without using a standardized diagnosis of PI were included. However, the current evidence suggests the possibility of precision medicine using PI.

The combination of Chinese and Western Medicine in the management of rheumatoid arthritis: A real-world cohort study across China

Objective: To investigate the efficacy of Integrative medicine (IM), compare with Western medicine (WM), in the treatment of rheumatoid arthritis (RA) in a cohort study.

Methods: This is a cohort study with recruitment of RA patients from 10 hospitals in China. The primary outcome was change in disease activity score 28 (DAS28) during 4 follow-up visits. Generalized estimating equation (GEE) models that controlled for variables were used to investigate a time trend and assess group differences in the primary outcome and secondary outcomes after propensity score matching (PSM).

Results: A total of 3195 patients with RA received IM (n = 1379, 43.2%) or WM (n = 1816, 56.8%). Following 1:1 propensity score matching, 1,331 eligible patients prescribed IM were compared to 1,331 matched patients prescribed WM. The GEE analysis with PSM showed that the IM was more beneficial to significantly decrease the levels of VAS, PGA and PhGA (VAS: odds ratio (OR), 0.76; 95% CI, 0.63–0.92; p = 0.004; PGA: OR, 0.76; 95% CI, 0.64–0.92; p = 0.007; and PhGA: OR, 0.77; 95% CI, 0.64, 0.93; p = 0.004), and reduce DAS28 (OR, 0.84; 95% CI, 0.73–0.98; p = 0.030) in the per-protocol population.

Conclusion: This study suggests that compare to WM, IM has advantages in improving RA-related outcomes. However, the statistical significance might not reveal significant clinical difference. Further studies should be focused on specific treatment strategies and/or disease stages.

Serum metabolomics analysis of deficiency pattern and excess pattern in patients with rheumatoid arthritis

Background

Rheumatoid arthritis (RA) is a chronic and refractory autoimmune disease. Deficiency pattern (DP) and excess pattern (EP), as crucial types of Chinese medicine pattern diagnoses published by International Classification of Diseases 11th Revision (ICD-11), could provide new strategies for RA diagnosis. However, the biological basis of DP and EP of RA is not explicit.

Methods

19 female RA DP patients, 41 female RA EP patients and 30 female healthy participants were included in the study. The serums of participants were collected and analyzed by metabolomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to profile metabolic characteristics of RA DP and EP. Furthermore, bioinformatics analysis results were obtained by using Ingenuity Pathway Analysis (IPA) and statistical analysis was performed by SAS version 9.4 for further identification of potential biomarkers.

Results

Serum metabolic profiling revealed 25 and 24 differential metabolites in RA DP and EP respectively, and 19 metabolites were common to RA DP and EP. Compared with DP group, L-Homocysteic acid, LysoPE(P-16:0/0:0), N(omega)-Hydroxyarginine and LysoPC(16:0/0:0) decreased (P < 0.05), and Pyruvic acid, D-Ribose, Gamma-Glutamylserine, PE(22:0/24:1(15Z)), Inosinic acid increased (P < 0.05) in EP group. Menawhile, S-Nitrosoglutathione, 5-Thymidylic acid, SN38 glucuronide, PE(22:0/24:0), PC(24:0/24:1(15Z)) and Bisdiphosphoinositol tetrakisphosphate increased significantly in DP group compared to EP group (P < 0.05). For the unique metabolites, bioinformatics analysis results showed that 5-Methoxytryptamine involved in Melatonin Degradation II and Superpathway of Melatonin Degradation is the key metabolite to RA DP. Meanwhile, GABA is the key metabolite in EP group, which involved in Glutamate Dependent Acid Resistance, GABA Receptor Signaling, Glutamate Degradation III (via 4-aminobutyrate) and 4-aminobutyrate Degradation I. Bioinformatics analysis between unique metabolites of RA DP and EP groups with human target genes for RA showed that 5-methoxytryptamine and LysoPC(18:1(9Z)/0:0), the unique metabolites of RA DP, might participate in colorectal cancer metastasis signaling, tumor microenvironment pathway, apoptosis signaling, MYC mediated apoptosis signaling, erythropoietin signaling pathway and LXR/RXR activation. Simultaneously, GABA, LysoPA(18:1(9Z)/0:0) and L-Targinine, the unique metabolites of RA EP, might participate in neuroinflammation signaling pathway, osteoarthritis pathway, glucocorticoid receptor signaling, ILK signaling, IL-17 signaling and HIF1α signaling.

Conclusions

The study indicates that serum metabolomics preliminarily revealed the biological basis of RA DP and EP. 5-methoxytryptamine, LysoPC(18:1(9Z)/0:0) and GABA, LysoPA(18:1(9Z)/0:0), L-Targinine might be the predictors to distinguish the DP and EP of RA respectively. These interesting results provide thoughts for further study of traditional medicine patterns of ICD-11. It also contributes to provide strategy for personalized precision treatment of RA and further validation is needed.

Treatment satisfaction with rheumatoid arthritis in patients with different disease severity and financial burden: A subgroup analysis of a nationwide survey in China

BACKGROUND

Despite the recent advances in treatments for rheumatoid arthritis (RA), there are still unmet needs in disease outcomes. This study aimed to analyze the satisfaction with drug therapies for RA according to the levels of disease severity (patient-assessed) and proportions of treatment cost to household income.

METHODS

This was a subgroup study of a cross-sectional study in patients with RA and their physicians. The patients were subdivided into different subgroups based on their self-assessed severity of RA and on the proportions of treatment cost to household income (<10%, 10-30%, 31-50%, and >50%). The Treatment Satisfaction Questionnaire for Medication version II was used to assess patients' treatment satisfaction.

RESULTS

When considering all medications, effectiveness, convenience, and global satisfaction scores were lower in the severe and moderate RA subgroups than those in the mild and extremely mild RA subgroups (all P < 0.001). Effectiveness, side effects, and convenience scores were higher in the <10% subgroup compared to those in the >50% subgroup (all P < 0.05). Global satisfaction score was higher in the <10% subgroup than that in the 31% to 50% subgroup (F = 13.183, P = 0.004). For biological disease-modifying anti-rheumatic drugs, effectiveness and convenience scores were lower in the severe RA subgroup than those in the extremely mild RA subgroup (both P < 0.05). Convenience score was higher in the <10% subgroup compared to that in the 31% to 50% and >50% subgroups (F = 12.646, P = 0.005). Global satisfaction score was higher in the <10% subgroup than that in the 31% to 50% subgroup (F = 8.794, P = 0.032).

CONCLUSION

Higher disease severity and higher financial burden were associated with lower patient satisfaction.

Integrating Network Pharmacology with Molecular Docking to Unravel the Active Compounds and Potential Mechanism of Simiao Pill Treating Rheumatoid Arthritis

Objective

To explore the main components and unravel the potential mechanism of simiao pill (SM) on rheumatoid arthritis (RA) based on network pharmacological analysis and molecular docking.

Methods

Related compounds were obtained from TCMSP and BATMAN-TCM database. Oral bioavailability and drug-likeness were then screened by using absorption, distribution, metabolism, and excretion (ADME) criteria. Additionally, target genes related to RA were acquired from GeneCards and OMIM database. Correlations about SM-RA, compounds-targets, and pathways-targets-compounds were visualized through Cytoscape 3.7.1. The protein-protein interaction (PPI) network was constructed by STRING. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed via R packages. Molecular docking analysis was constructed by the Molecular Operating Environment (MOE).

Results

A total of 72 potential compounds and 77 associated targets of SM were identified. The compounds-targets network analysis indicated that the 6 compounds, including quercetin, kaempferol, baicalein, wogonin, beta-sitosterol, and eugenol, were linked to ≥10 target genes, and the 10 target genes (PTGS1, ESR1, AR, PGR, CHRM3, PPARG, CHRM2, BCL2, CASP3, and RELA) were core target genes in the network. Enrichment analysis indicated that PI3K-Akt, TNF, and IL-17 signaling pathway may be a critical signaling pathway in the network pharmacology. Molecular docking showed that quercetin, kaempferol, baicalein, and wogonin have good binding activity with IL6, VEGFA, EGFR, and NFKBIA targets.

Conclusion

The integrative investigation based on bioinformatics/network topology strategy may elaborate on the multicomponent synergy mechanisms of SM against RA and provide the way out to develop new combination medicines for RA.

Traditional Chinese medicine Biqi capsule compared with leflunomide in combination with methotrexate in patients with rheumatoid arthritis: a randomized controlled trial

BACKGROUND

Biqi capsule is a traditional Chinese medicine widely used as a complementary and alternative treatment for rheumatoid arthritis (RA). The objective is to understand the efficacy, safety and mechanism of Biqi combined with methotrexate (MTX) in RA.

METHODS

We present a randomized, controlled pilot trial on Biqi combined with MTX against patients with active RA. Seventy patients were randomized 1:1 to receive Biqi + MTX or Leflunomide (LEF) + MTX for 24 weeks, and were assessed at baseline, 4, 12 and 24 weeks. Serum and urine samples were collected for metabolomics.

RESULTS

Overall, 81.2% patients in Biqi group achieved ACR20 at 24 weeks. No statistically significant differences were observed in primary or secondary outcomes between the two groups. A better safety profile was observed for Biqi with significantly fewer adverse effects reported (11.4%) compared to LEF group (40%, P < 0.05). Comparison between treatment responders and non-responders indicated a unique urine metabolic profile of enriched fatty acids and decreased acylcarnitines associated with Biqi responders, indicating a restored energy homeostasis in response to Biqi. The gene targets of these metabolites were significantly enriched in interleukin-4 and interleukin-13 pathways, implying that Biqi could ameliorate Th2-derived inflammatory response. Multivariate network analysis indicated that patient morning stiffness and SJC were key factors associated with metabolomics in Biqi-treated patients, whereas CRP was the main factor in LEF group. Therefore, Biqi and LEF likely work by influencing different patient clinical parameters.

CONCLUSIONS

Our study suggests that Biqi capsule can be a promising alternative option in combination with MTX for RA treatment, and demonstrates the capability of using metabolomics to interrogate mechanism of action for traditional Chinese medicine.Trial registration This trial is registered with ChiCTR, No. ChiCTR-IPR-16009029. Registered August 15, 2016. http://www.chictr.org.cn/showprojen.aspx?proj=15034.

Experimental Studies of Inter-Rater Agreement in Traditional Chinese Medicine: A Systematic Review

Objectives: It has been recommended that clinical trials of Traditional Chinese Medicine (TCM) would be more ecologically valid if its characteristic mode of diagnostic reasoning were integrated into their design. In that context, however, it is also widely held that demonstrating a high level of agreement on initial TCM diagnoses is necessary for the replicability that the biomedical paradigm requires for the conclusions from such trials. Our aim was to review, summarize, and critique quantitative experimental studies of inter-rater agreement in TCM, and some of their underlying assumptions. Design: Systematic electronic searches were conducted for articles that reported a quantitative measure of inter-rater agreement across a number of rating choices based on examinations of human subjects in person by TCM practitioners, and published in English language peer-reviewed journals. Publications in languages other than English were not included, nor those appearing in other than peer-reviewed journals. Predefined categories of information were extracted from full texts by two investigators working independently. Each article was scored for methodological quality. Outcome measures: Design features across all studies and levels of inter-rater agreement across studies that reported the same type of outcome statistic were compared. Results: Twenty-one articles met inclusion criteria. Fourteen assessed inter-rater agreement on TCM diagnoses, two on diagnostic signs found upon traditional TCM examination, and five on novel rating schemes derived from TCM theory and practice. Raters were students of TCM colleges or graduates of TCM training programs with 3 or more years experience and licensure. Type of outcome statistic varied. Mean rates of pairwise agreement averaged 57% (median 65, range 19-96) across the 9 studies reporting them. Mean Cohen's kappa averaged 0.34 (median 0.34, range 0.07-0.59) across the seven studies reporting them. Meta-analysis was not possible due to variations in study design and outcome statistics. High risks of bias and confounding, and deficits in statistical reporting were common. Conclusions: With a few exceptions, the levels of agreement were low to moderate. Most studies had significant deficits of both methodology and reporting. Results overall suggest a few design features that might contribute to higher levels of agreement. These should be studied further with better experimental controls and more thorough reporting of outcomes. In addition, methods of complex systems analysis should be explored to more adequately model the relationship between clinical outcomes, and the series of diagnoses and treatments that are the norm in actual TCM practice.