To investigate the effects of active liquid probiotics on the laxative efficacy and promotion of lead excretion in zebrafish.

Zebrafish at 5 dpf (days post fertilization) were stained with Nile Red and then divided into 3 groups, treated at 28 °C for 1 day, and their intestinal fluorescence intensity was analyzed. Zebrafish at 6 hpf (hours post fertilization) were used to establish a lead poisoning model, treated at 28 ℃ for 4 days, and then the lead content in vivo was determined.

The maximum tested concentration (MTC) of active liquid probiotics for laxative effect in zebrafish was 15.6 µL·mL^-1. At this concentration, the intestinal fluorescence intensity of the probiotic group was significantly reduced (compared with the normal control group, P < 0.001). Similarly, for its effect on promoting lead excretion in zebrafish, the MTC was 7.81 µL·mL^-1, and the lead content in the probiotic group at this concentration decreased by approximately 50% compared with the model group (P < 0.001).

Active liquid probiotics can rapidly colonize the zebrafish intestine and promote the proliferation of beneficial flora, thereby achieving laxative effects and regulating intestinal vitality. Active liquid probiotics can utilize their unique ion-binding capacity to specifically adsorb heavy metal lead for excretion, enhancing lead excretion.

To establish an isoelectric focusing (IEF) analysis method for the physicochemical testing of human basic fibroblast growth factor (hbFGF).

By comparing different IEF test conditions, the optimal method for determining the isoelectric point of hbFGF protein was screened, and the specificity, precision and durability of this method were methodologically verified.

The optimal system was the ampholyte system of Bio-Lyte and Ampholyte (2∶1). PBS buffer showed no interference with this method. The average pI value for repeatability was 10.0, with an RSD of 0.82% (≤3.0%). The average pI value for intermediate precision was 10.0, with a total RSD of 0.98% (≤6.0%). In terms of durability under different voltages (460, 480 and 500 V), the average pI value was 10.0, with an RSD of 1.3% (≤3.0%). In terms of durability under different electrophoresis times (70 min, 90 min, and 110 min), the average pI value was 10.0, with an RSD of 2.0% (≤3.0%).

The IEF method established for detecting the isoelectric point of hbFGF protein is accurate, durable and highly specific. It has high stability and can be used for the routine daily isoelectric point detection of hbFGF protein.

To predict the freezing point of the NaCl-NH₄Cl-H₂O ternary system using the semi-empirical hydration model (SEHM).

The freezing point of the ternary system was computed from the solution concentration based on the SEHM model, and compared with values obtained from air humidity cryoscopy and cooling curve cryoscopy (FPD-4A cryoscope).

The freezing points calculated by the SEHM model showed good agreement with those measured by air humidity cryoscopy and cooling curve cryoscopy. However, the cooling curve method was limited to dilute solutions due to the limited measurement range of the instrument.

The SEHM model provides a reliable approach for calculating the freezing point of the NaCl-NH₄Cl-H₂O ternary system based on solution concentration.

To establish a quality control method for Aquilaria sinensis and provide a basis for improving its quality standards.

A fingerprint identification method for Aquilaria sinensis was established. The contents of 4-phenyl-2-butanone, 4-methoxyphenyl-2-butanone, and Nootkatone in Aquilaria sinensis were determined by GC-MS.

Reference fingerprint for Aquilaria sinensis was established. The similarity among 25 batches of samples ranged from 0.718 to 0.994. In the content determination, 4-phenyl-2-butanone, 4-methoxyphenyl-2-butanone, and Nootkatone showed good linear relationships within the concentration ranges of 0.14-11.58, 0.27-21.56, 0.65-52.14 µg·mL^-1, respectively.The average recovery rates of the three components were 92.5% (n=9), 92.1% (n=9), and 90.2% (n=9).

The fingerprint chromatogram and the content determination methods of the three components established in this studyt can be used for multi-index quality evaluation of Aquilaria sinensis.

The aim of this study is to explore the bioinformatics-based screening of natural active ingredients for chronic atrophic gastritis (CAG) from the perspective of ferroptosis using machine learning and network pharmacology, thereby opening a new horizon for the treatment of CAG.

Datasets related to CAG were retrieved from the GEO database, and ferroptosis-related targets were collected from the FerrDb database. The R package GEO-query was used to obtain the expression profiles and clinical information of the CAG-related dataset GSE27411, followed by screening of differential targets and CAG differentially expressed targets were used to construct a protein-protein interaction (PPI) network, and the phenotypes of the key targets were analyzed using the VarElect tool. Support vector machine (SVM), a machine learning algorithm, was employed to further screen disease target genes. These natural active ingredients take the overlapping targets of ferroptosis and CAG as their potential action targets. Gene Ontology (GO) functional enrichment analysis and WikiPathwayss enrichment analysis were performed on the potential targets using the R package clusterProfiler. LASSO regression was utilized to screen natural active ingredients related to ferroptosis and CAG. The Coremine database was used to identify small-molecule drugs, and the TCMSP database was employed to find the natural drugs from which these small-molecule natural products are derived as well as their corresponding targets, followed by molecular docking analysis.

The GSE27411 dataset was selected for analysis. After differential expression analysis, 993 CAG-related differential targets were identified, along with 455 ferroptosis-related targets. A total of 29 overlapping targets were obtained through intersection analysis. Functional enrichment analysis revealed that these overlapping targets were associated with lipids and therosclerosis, reactive oxygen species (ROS), the RIG-I-like receptor signaling pathway, the FoxO signaling pathway, among others. Seven diagnostic genes were identified via LASSO-COX regression analysis: JUN, EGFR, BRD4, ATG5, BACH1, QSOX1, and NR1D2. Coremine identified several small-molecule drugs, including Apabetalone, cobaltiprotoporphyrin, sulmazole, 4-(4-fluorophenyl)-2-(4-hydroxyphenyl)-5-(4-pyridyl) imidazole, tin protoporphyrin IX, Chloroquine and Gefitinib, all of which exhibited favorable molecular docking result. Among these, cobaltiprotoporphyrin showed the optimal docking performance, suggesting its potential significance for CAG treatment.

Through bioinformatics approaches and drug regularity analysis, this study provides basic theoretical and data support for the treatment of CAG from the perspective of ferroptosis, and offers a new entry point for the search of therapeutic drugs targeting CAG.

To explore the unique techniques of traditional Chinese medicine (TCM) processing in the Lingnan Yuebang, promote its processing culture, and expand research on regionally characteristic processing methods.

Using the 1984 edition of Guangdong TCM Processing Standards and the 2020 edition of Pharmacopoeia of the People's Republic of China as research subjects, 553 Chinese medicinal materials were systematically analyzed from three aspects: excipient usage, processing methods, and special processing techniques. Comparative analysis was conducted to summarize the distinctive features of Lingnan Yuebang TCM processing.

① Compared with the Pharmacopoeia of China, the processing of Lingnan Yuebang traditional Chinese medicine was more widely used in sand, rice, soil, talcum powder, wine, salt, honey and ginger. There were 8 kinds of special auxiliary materials, including rice swill, soil, flour, sesame oil, onion juice, coptis root, scutellaria root and phellodendron bark. ②There were 17 kinds of the same processing methods in Guangdong Paogui and China Pharmacopoeia, but the processing methods in Guangdong Paogui were more abundant in fresh medicine, clean preparation and cutting. ③ Most of the special processing techniques of Lingnan Yuebang were steaming, including steaming, wine steaming, salt steaming, vinegar steaming and so on. There were 82 kinds of traditional Chinese medicines using steaming.

The processing technology of traditional Chinese medicine of Lingnan Yuebang is unique, and its processing method and cultural connotation have distinct regional characteristics. As an important part of the processing of traditional Chinese medicine, the processing technology of Lingnan Yuebang deserves further study and attention to promote the inheritance and innovation of Lingnan traditional Chinese medicine.

To compare the efficacy and safety differences between edaravone dexborneol and edaravone in Acute ischemic stroke (AIS).

Randomized controlled trials (RCTs) of edaravone dexborneol versus edaravone in the treatment of AIS were identified by systematically searching PubMed, Embase, Cochrane Library, CNKI, VIP Database, Wanfang Data, and SinoMed. The risk of bias of included studies was assessed according to the Cochrane bias risk assessment tool, and meta-analysis was performed using R 4.4.1 and RevMan 5.3. The efficacy outcomes included changes from baseline in the National Institutes of Health Stroke Scale (NIHSS) scores, the Modified Rankin Scale (mRS) scores, the Barthel Index (BI), and clinical response rate at 14 days post-treatment. Adverse reactions occurring during treatment were considered as safety indicators.

A total of 19 studies involving 2 885 patients were ultimately included. After 14 days of treatment, compared with the edaravone group, the edaravone dexborneol group was more effective in improving the clinical response rate [RR =1.22, 95%CI =1.13-1.33, P < 0.000 1] and the BI [MD =10.60, 95%CI =8.12-13.07, P < 0.000 1], and in reducing the NIHSS [MD =-1.92, 95%CI = -2.61-1.23, P < 0.000 1] and mRS [MD = 1.69, 95%CI = -2.49--0.90, P < 0.000 1]. In terms of safety, edaravone dexborneol group had a lower incidence of adverse reactions during the treatment period than the edaravone group [RR =0.47, 95%CI =0.33-0.69, P < 0.000 1].

Edaravone dexborneol group exhibited superior efficacy and safety compared with edaravone group in the treatment of AIS.

To investigate a potential relationship between metabolic parameters and steady-state serum concentration of olanzapine (OLA) in patients treated with OLA combined with or without VAL in patients with mental disorders.

A retrospective analysis was performed on 225 inpatients with mental disorders who received OLA monotherapy or OLA-VAL combination therapy. The serum concentration of OLA was measured, and fasting blood samples were analyzed for insulin, glucose, total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), and uric acid (UA). The effects of OLA serum concentration, with or without VAL, on the aforementioned parameters and the correlation with these parameters were investigated.

VAL co-administration decreased OLA concentration and C/D ratio by 19.57% (P < 0.01) and 32.76%(P < 0.001), respectively.Patients taking OLA combined with VAL had higher weight (4.83%, P <0.01), BMI (4.07%, P < 0.05) and UA level (8.96%, P < 0.05), but lower glucose level (13.83%, P < 0.05), than those taking OLA alone. VAL co-administration had no significant effect on the levels of TC, HDL-c, LDL-c, TG and INS.The serum OLA concentration was negatively correlated with body weight in the OLA-VAL combination group (r =-0.199, P < 0.05), and there exists no correlation with other metabolic parameters.

There is no correlation between the serum OLA concentration and glycolipid metabolic parameters in the OLA monotherapy group, however, a negative correlation is found between serum OLA concentration and body weight in the OLA-VAL combination group; meanwhile, significantly higher body weight, BMI and UA levels are observed in this group.

To enhance the standardization of biological sample management in clinical drug trials and ensure the scientific validity and reliability of trial data by collecting and analyzing issues in the management of biological samples during clinical drug trials and preventive risk management strategies.

Statistical methods were used to conduct data statistics on quality control records. A total of 522 quality control records from three hospitals in Guangzhou were examined to identify non-standard operations in biological sample management and to explore their causes.

Among the 522 quality control records analyzed, 160 issues in the biological sample management process were identified. The main problems occurred in the stages of collection, processing, storage, transportation, and transshipment.

In response to these issues, seven risk prevention measures have been proposed. By implementing these measures, the standardization, accuracy, and safety of biological sample management can be improved, ensuring the integrity and reliability of clinical trial data.