Quality consistency evaluation of chemical composition and pharmacology of Shaoyao-Gancao decoction dispensing granules and traditional decoction

Dispensing granules of Chinese medicine (DGCM) have emerged as a more convenient alternative to traditional decoction (TD) of Chinese medicine, gaining popularity in recent years. However, the debate surrounding the consistency of DGCM compared to TD remains unresolved. In this study, three batches of Baishao and Gancao DGCM were obtained from manufacturers A, B, and C, and 15 batches of crude drugs were procured from hospital pharmacies for the preparation of dispensing granule decoction (DGD) and TD of Shaoyao-Gancao decoction (SGD). The HPLC-UV method was employed to determine the levels of gallic acid, paeoniflorin, albiflorin, liquiritin, liquiritin apioside, isoliquiritin apioside, isoliquiritin, glycyrrhizic acid, and isoliquiritigenin. The analgesic and antispasmodic effects were assessed using the hot plate and acetic acid writhing test in mice. To evaluate the consistency of chemical constituents and pharmacological effects between the two decoctions, the Criteria Importance Though Intercriteria Correlation (CRITIC) method combined with chemometrics was employed. Grey relation analysis (GRA) was used to assess the comprehensive quality consistency of the two decoctions. The CRITIC results revealed certain differences in chemical constituents and pharmacological effects between the selected DGCM and TD. Notably, DGD-A/C exhibited a significant difference from TD (p > 0.05), whereas DGD-B demonstrated no significant difference from TD (p > 0.05). The GRA analysis demonstrated that the overall quality consistency between DGD-B and TD was the highest among the three manufacturers. This study presents a method for evaluating the quality consistency of DGCM and TD of SGD, offering novel insights into the evaluation of consistency between DGCM and TD.

A Wearable Gait Analysis System Used in Type 2 Diabetes Mellitus Patients: A Case-Control Study

BACKGROUND

Previous studies have shown that the gait of patients with type-2 diabetes mellitus is abnormal compared with the healthy group. Currently, a three-dimensional motion analyzer system is commonly used for gait analysis. However, it is challenging to collect data and use in clinical study due to extensive experimental conditions and high price. In this study, we used a wearable gait analysis system (Gaitboter) to investigate the spatial and temporal parameters, and kinematic data of gait in diabetic patients, especially those with peripheral neuropathy. The aim of the study is to evaluate the wearable gait analysis system in diabetic study.

MATERIALS AND METHODS

We conducted a case-control study to analyze the gait of type 2 diabetes mellitus. Gaitboter was used to detect and collect gait data in the ward of Beijing Chao-yang Hospital, Capital Medical University from June 2018 to October 2018. We collected the gait data of participants (N= 146; 73 patients with type 2 diabetes, 16 with peripheral neuropathy and 57 without peripheral neuropathy, and 73 matched controls). The gait data (stance phase, swing phase, double-foot stance phase, single-foot stance phase, walking cadence, stride length, walking speed, off-ground angle, landing angle, maximum swing angle, minimum swing angle, and foot progression angle) in diabetic patients were recorded and compared with controls. SPSS 22.0 statistical software was used to analyzed the gait parameter data.

RESULTS

We found that the landing angle and the maximum swing angle of diabetes patients with or without peripheral neuropathy were significantly less than those of the control group (P < 0.05). The walking speed of diabetes patients with peripheral neuropathy is significantly less than those of the control group (P < 0.05).

CONCLUSION

This study confirms that the wearable gait analysis system (Gaitboter) is an ideal system to identify abnormal gait in patients with type 2 diabetes and provides a new device and method for diabetes-related gait research.