Chaihu Guizhi Ganjiangtang was first recorded in the Treatise on Cold Damage （Shang Han Lun）. This prescription is composed of Bupleuri Radix， Scutellariae Radix， Cinnamomi Ramulus， Zingiberis Rhizoma， Trichosanthis Radix， Ostreae Concha， and Glycyrrhizae Radix et Rhizoma. It has the effects of soothing Lesser Yang， warming the spleen， and stimulating the generation of body fluid. It is mainly used to treat digestive tract diseases such as chronic cholecystitis （CC）， irritable bowel syndrome， and non-alcoholic fatty liver disease. Dyspepsia caused by CC presents a variety of gastrointestinal symptoms such as abdominal pain， poor appetite， postprandial fullness， aversion to greasy food， soft stool， and bitter mouth， being a type of biliary dyspepsia. In modern medicine， dyspepsia caused by CC is mainly managed by medical treatment and surgical treatment. Internal medicine mainly focuses on reducing inflammation， promoting the function of gallbladder， resolving stones， alleviating spasms， and relieving the pain for CC， demonstrating definite short-term efficacy but suffering from single effects， high recurrence rate， and poor compliance. Although surgical treatment can cure cholecystitis， it is accompanied by the increased incidence of adverse events such as abdominal pain， diarrhea， and dyspepsia. Modern clinical studies have confirmed that Chaihu Guizhi Ganjiangtang can significantly alleviate the symptoms such as abdominal pain and dyspepsia of CC patients. Pharmacological studies have found that Chaihu Guizhi Ganjiangtang mainly contains active ingredients such as Bupleuri Radix saponins， baicalin， cinnamaldehyde， gingerol， Trichosanthis Radix polysaccharide， Ostreae Concha polysaccharide， and Glycyrrhizae Radix et Rhizoma total flavonoids. Chaihu Guizhi Ganjiangtang can ameliorate the symptoms of dyspepsia caused by CC by inhibiting inflammatory responses， improving gallbladder contraction and gastrointestinal motility， regulating the bile acid-intestinal flora axis and the brain-gut axis， and modulating blood lipids through multiple targets. By reviewing the previous literature， this article summarizes the research progress in the treatment of dyspepsia caused by CC with Chaihu Guizhi Ganjiangtang and its main active ingredients as well as the pathogenesis of this disease and puts forward the shortcomings and improvement strategies for the current research. The review aims to provide a reference for the further research on Chaihu Guizhi Ganjiangtang in the treatment of dyspepsia caused by CC.

Alzheimer's disease （AD） is a common type of dementia， primarily characterized by cognitive and behavioral impairments as well as deficits in learning and memory. The progression of AD has imposed a significant economic burden on society and families. However， its exact pathogenesis has not yet been fully elucidated. Currently， available therapeutic drugs are limited and are often accompanied by serious adverse effects. Traditional Chinese medicines （TCMs） and their extracts are mostly natural products and possess advantages such as multi-pathway regulation and relatively few adverse reactions. Experimental studies have shown that TCMs exhibit great potential in the prevention and treatment of AD. For example， Huanglian Jieduang， Danggui Shaoyaosan， Kaixin San， Liuwei Dihuangwan， Buyang Huanwutang， as well as Ginseng Radix et Rhizoma， Astragali Radix， Uncariae Ramulus cum Uncis， Coptidis Rhizoma， Gardeniae Fructus， Ginkgo Folium， Salviae Miltiorrhizae Radix et Rhizoma， and Curcumae Longae Rhizoma， can reduce β-amyloid deposition， inhibit excessive Tau protein phosphorylation， restore mitochondrial function， alleviate oxidative stress， suppress neuroinflammation and apoptosis， repair synaptic function， and improve gut microbiota. This article mainly summarizes the effects of several TCMs and compound prescriptions on AD， aiming to provide a reference for subsequent TCM-based treatment of AD.

OBJECTIVE To investigate the effects and mechanisms of Buyang huanwu decoction （BYHWD） and its active fractions in ameliorating non-alcoholic fatty liver disease. METHODS BYHWD and its effective fractions obtained through ethanol precipitation， as well as 30% ethanol， 50% ethanol， and 75% ethanol fractions （namely， the CC effective fraction， 30YC effective fraction， 50YC effective fraction， and 75YC effective fraction）， were prepared. These preparations were administered to rats via intragastric administration to prepare corresponding drug-containing serum （blank serum and simvastatin-containing serum were prepared using the same protocol）. Human L02 hepatocytes were divided into control group， model group， simvastatin-containing serum group， BYHWD-containing serum group， CC-containing serum group， 30YC-containing serum group， 50YC-containing serum group， and 75YC-containing serum group. Except for the control group， other groups were given 0.2 mol/L oleic acid for 24 h to induce a lipid accumulation model， and then intervened with 20% drug-containing serum/blank serum for 24 h. The lipid deposition in cells was observed， and the proportion of lipid droplet area was calculated； the levels of triglycerides （TG） and indicators of oxidative stress [malondialdehyde （MDA）， superoxide dismutase （SOD）] as well as liver function [alanine amino- transferase （ALT）， aspartate amino-transferase （AST）] in cells were detected； protein and mRNA expressions of AMP-activated protein kinase （AMPK）/sterol regulatory element-binding protein-1 （SREBP-1）/glycerol-3-phosphate acyltransferase （GPAT） signaling pathway were also measured. RESULTS Compared with the control group， cells in the model group exhibited severe cellular steatosis， with a significantly increased proportion of lipid droplet area， as well as the elevated levels of TG， ALT， AST， and MDA in cells， along with significantly up-regulated mRNA and protein expression levels of SREBP-1 and GPAT （P＜0.05）. The level of SOD， mRNA expression of AMPK， as well as the protein phosphorylation level of AMPK were decreased significantly （P＜0.05）. Compared with the model group， cellular steatosis was alleviated in all drug-containing serum groups， and the levels of most of the aforementioned quantitative indicators were significantly reversed （P＜0.05）. CONCLUSIONS BYHWD and its active fractions can exert a therapeutic effect on improving non-alcoholic fatty liver disease by regulating the AMPK/SREBP-1/GPAT signaling pathway， inhibiting oxidative stress responses， and reducing lipid deposition.

OBJECTIVE To explore the potential mechanism by which drug-containing serum of Dianxianqing granules （DXQ） inhibits microglial ferroptosis. METHODS Male SD rats were given normal saline and Dianxianqing granules solution via intragastric administration to prepare normal serum and DXQ， respectively. Mice microglia BV2 cells were collected and successfully transfected with a negative control small interfering RNA （si-NC）， and then they were included in the si-NC group and cultured under normal conditions. Cells successfully transfected with small interfering RNA targeting glutathione peroxidase 4 （GPX4） （si-GPX4） were divided into the si-GPX4 group， the CsA group （treated with 1 μmol/L cyclosporine A）， and the DXQ- L， DXQ-M and DXQ-H groups （treated with 5%， 7% and 10% DXQ， respectively）. These groups were subsequently treated with their corresponding drug solutions and ferroptosis inducer Erastin （10 μmol/L）. The intracellular levels of total iron ions， glutathione （GSH）， reactive oxygen species （ROS）， and the expression of mitochondrial superoxide were determined in each group after 48 h of treatment. Additionally， mitochondrial membrane potential， the opening degree of mitochondrial permeability transition pore （MPTP）， and mRNA expressions of GPX4 and cyclophilin D （CypD） were detected. Furthermore， the expressions of ferroptosis-related proteins[GPX4， transferrin receptor 1 （TfR1） and ferritin heavy chain 1 （FTH1）]， as well as MPTP-related proteins [adenine nucleotide translocator （ANT）， cytochrome C （CytC）， mitochondrial calcium uniporter （MCU） and CypD] were assessed. RESULTS Compared with si-NC group， the levels of total iron ions and ROS， the expression level of mitochondrial superoxide， the opening degree of MPTP， protein and its mRNA expressions of CypD as well as protein expressions of TfR1 and MCU were increased or up-regulated significantly （P＜0.01）； however， GSH content， mitochondrial membrane potential， protein and mRNA expressions of GPX4， and protein expressions of FTH1， ANT and CytC were decreased or down-regulated significantly （P＜0.01）. Compared with the si-GPX4 group， the cells in the DXQ-M， DXQ-H groups showed a general improvement in the above quantitative indicators （P＜0.01 or P＜0.05）. CONCLUSIONS DXQ can enhance antioxidant capacity by activating the GSH/GPX4 pathway， regulate the expressions of TfR1 and FTH1 protein to correct iron ion homeostasis， inhibit excessive opening of MPTP to improve mitochondrial function， and ultimately suppress microglial ferroptosis.

OBJECTIVE To investigate a dynamic monitoring of drug consumption （DMDC） model based on the seasonal Mann-Kendall trend test， aiming to provide scientific evidence for the efficient and macroscopic monitoring of drug use. METHODS A monitoring list of key outpatient drugs was established based on the top 20% of drugs ranked by sales volume in the outpatient pharmacy in October 2024. A DMDC model based on the Mann-Kendall trend test was constructed using the monthly usage data of key outpatient drugs from November 2021 to October 2024， aiming to eliminate the impact of seasonal fluctuations and analyze the temporal trends in drug consumption. Taking mucolytic expectorants， triazole derivatives for dermatophytosis， and single-agent hydroxymethylglutaryl coenzyme A （HMG-CoA） reductase inhibitors as examples， the monitoring effectiveness of the DMDC model was demonstrated， and its performance was compared with that achieved by the traditional sequential growth rate ranking method. RESULTS A total of 215 drug varieties were included in the monitoring list， and DMDC models were successfully established for all of them. Among these， 119 showed a significant increasing trend （P＜0.05， S′＞0）. The model successfully monitored the monthly consumption of mucolytic expectorants， triazole derivatives for dermatophytosis， and single- agent HMG-CoA reductase inhibitors. The precision and recall rates of the DMDC model for identifying abnormal drug use were 60.7% and 85.0%， respectively， both significantly higher than those of the sequential growth rate ranking method （8.3% and 15.0%， respectively） （χ2＝20.114， P＜0.001； χ2＝19.600， P＜0.001）. CONCLUSIONS DMDC model based on the seasonal Mann-Kendall trend test can effectively identify long-term trends in drug consumption， eliminate seasonal interference， enhance monitoring accuracy and management efficiency， and is suitable for the dynamic monitoring of drug consumption.

Objective: To investigate the effects of clinical routine X-ray irradiation dose (average irradiation dose: 29.7±0.54 Gy) on the function, apoptosis, activation state and mitochondrial function of platelets during in vitro storage, so as to provide experimental evidence for optimizing platelet irradiation strategies. Methods: A paired experimental design was adopted. Platelets were collected from 12 healthy donors, and each sample was equally divided into the irradiated group and the control group (non-irradiated). All samples were stored for 5 days under standard platelet preservation conditions (22±2℃, continuous oscillation). Flow cytometry was used to detect platelet count, apoptosis rate (Annexin V+ positive rate), activation markers (CD62P, PAC-1, CD42b) and reactive oxygen species (ROS) level. Meanwhile, mitochondrial-specific probes were used to evaluate changes in mitochondrial count, membrane potential and adenosine triphosphate (ATP) content. Additionally, transmission electron microscopy (TEM) was employed to observe the ultrastructure of platelets, with a focus on mitochondrial morphology, platelet membrane integrity and granule distribution. Results: Within 5 days of storage, the platelet count was (841±89.16)×10 /L in the irradiated group and (824.5±92.88)×10 /L in the control group, with no statistically significant difference between the two groups (P=0.54). The apoptosis rate was (4.94±1.39) % in the irradiated group and (5.50±0.83) % in the control group, showing no significant difference (P=0.31). For activation indicators, the CD62P expression rate was (24.32±7.57) % in the irradiated group versus (25.21±8.13) % in the control group (P=0.43). The PAC-1 positive rates were (12.15±4.43) % and (11.75±3.40) % in the irradiated group and control group, respectively (P=0.44). The CD42b expression rates were (12.14±4.43) % and (11.75±3.4) % in the two groups, respectively (P=0.47). The ROS levels were (31.98±8.1) % and (30.64±5.89) % in the two groups, respectively (P=0.45). No significant differences were found in the above indicators. For mitochondrial function indicators, the mitochondrial count was (55.88±11.49) % in the irradiated group and (53.5±7.24) % in the control group (P=0.57). The ATP contents were (42.45±5.29) % and (41.58±9.50) % in the irradiated group and control group, respectively (P=0.77). The relative membrane potential values were (59.53±10.89) % and (57.49±6.54) % in the two groups, respectively (P=0.47). No significant difference were observed on the mitochondrial function-related indicators. TEM further confirmed that the ultrastructure of platelets in the irradiation group was intact, the mitochondrial morphology was normal, and no pathological changes such as swelling or vacuolization were observed. Conclusion: This study evaluated the impact of conventional-dose X-ray irradiation on platelet storage quality, confirming that this dose does not significant impair platelet count, apoptosis rate, activation status, or mitochondrial function. This finding provides important experimental evidence for the clinical promotion of X-ray irradiation technology and suggests its potential as a safe alternative to γ irradiation. Future studies could further expand the sample size and extend the observation period to verify the effects of X-ray irradiation on long-term platelet storage and post-transfusion in vivo survival rate.

Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.

This paper systematically reviewed the concept of authentication studies on traditional Chinese medicine （TCM） classics and the research achievements of scholars across historical and contemporary periods. We categorized the authentication studies on TCM classics into four types， including work-oriented authentication research， metho-dological studies on authentication， extended authentication research， and single-book authentication. Multiple methods were applied comprehensively， including investigating bibliographic documents of successive dynasties， analyzing the academic contents of medical books， studying the textual characteristics of medical books， examining the cited references in medical books， verifying the biographies of authors， and analyzing the interpolations and accretions in medical books， to distinguish the authenticity of TCM classics. The academic value of authenticity identification of TCM classics is concluded in three aspects，i.e. it serves as an important means to distinguish authenticity from falsehood in TCM classics， an important guarantee for inheriting the essence of TCM literature， and a key to unlocking the academic treasure trove of TCM classics and achieving inheritance-based innovation， which will lay a solid documentary foundation for constructing identification methodologies and standardized systems.

It is proposed that the pathogenesis of rheumatoid arthritis （RA） is centered on deficiency， dampness， and blood stasis， which interact with and evolve into one another during the onset and progression of the disease. The development of RA is closely associated with insufficiency of healthy qi and the interbinding of dampness and blood stasis. Accordingly， treatment emphasizes an integrated approach that combines tonifying deficiency， eliminating dampness， and resolving blood stasis， and is implemented in three main stages. In the initial stage， therapy focuses on supporting healthy qi， dispelling dampness， and relieving impediment， with modified Huangqi Guizhi Wuwu Decoction （黄芪桂枝五物汤） combined with Yiyiren Decoction （薏苡仁汤）. In the active stage， treatment aims to eliminate dampness， resolve blood stasis， and unblock the collaterals， using modified Wutou Decoction （乌头汤） or Guizhi Shaoyao Zhimu Decoction （桂枝芍药知母汤）. In the remission stage， therapy emphasizes strengthening the spleen and reple-nishing qi to prevent recurrence， with modified Shenling Baizhu Powder （参苓白术散） combined with Guipi Decoction （归脾汤）.

Objective To explore scientific and accurate prediction methods for the incidence of hand, foot, and mouth disease in the post-pandemic era, and to address modeling challenges caused by abnormal fluctuations in case numbers from 2020 to 2023. Methods The seasonal index was used to pre-process the data. The traditional seasonal autoregressive integrated moving average (SARIMA) model, singular spectrum analysis (SSA)-ARIMA model, ARIMA-Long short-term memory (LSTM) model, and SSA-ARIMA-LSTM model were used to fit the incidence from 2013 to 2023, and the incidence of hand, foot and mouth disease in 2024 was predicted. The real data collected in 2024 were used as the test set to compare the prediction performance of the models. Results The fitting performance of the constructed models was as follows: the ARIMA model had MAE=107.50 and RMSE=144.53, the SSA-ARIMA model showed MAE=2.84 and RMSE=4.33, the ARIMA-LSTM model achieved MAE=99.46 and RMSE=131.59, and the SSA-ARIMA-LSTM model had MAE=96.35 and RMSE=132.13. In terms of prediction performance, the ARIMA model resulted in MAE=151.64 and RMSE=146.70, the SSA-ARIMA model demonstrated MAE=41.22 and RMSE=57.01, the ARIMA-LSTM model yielded MAE=220.75 and RMSE=257.89, and the SSA-ARIMA-LSTM model recorded MAE=58.83 and RMSE=72.06. Conclusion The SSA-ARIMA model has the best fitting degree and the highest prediction accuracy, and is suitable for predicting the incidence trend of hand, foot and mouth disease.