OBJECTIVE To analyze the prototype components absorbed into blood and brain of Lithocarpus litseifolius leaves， so as to provide a reference for clarifying the pharmacological material basis of its prevention and treatment of central nervous system dis eases. METHODS The ethanol extract of L. litseifolius leaves， as well as the gastric lavage fluid and perfusion solution were prepared. Using rats as subjects， plasma samples of intestinal wall metabolism， intestinal flora metabolism and hepatic metabolism were prepared via in situ intestinal perfusion and closed intestinal loop method； while comprehensive metabolic plasma samples， brain tissue samples， and cerebrospinal fluid samples were collected after intragastric administration. UPLC-HRMS technology was utilized to analyze and identify chemical components and prototype components absorbed into blood and brain of L. litseifolius leaves. RESULTS A total of 66 chemical constituents were identified in L. litseifolius leaves， primarily consisting of flavonoids， organic acids， and others. A total of 16， 13， 11， and 5 prototype components were identified in intestinal wall metabolism， intestinal flora metabolism， hepatic metabolism， and comprehensive metabolic plasma samples， respectively. Additionally， 4 prototype components were detected in brain tissue and 9 in cerebrospinal fluid. Phloridzin， trilobatin， phloretin-2- O -malonyl hexoside， and phloretin were identified as common components across all sample types. CONCLUSIONS Prototype components absorbed into blood and brain of L. litseifolius leaves， such as phloridzin， trilobatin， phloretin， and other components may serve as the pharmacological material basis for their therapeutic effects on central nervous system diseases.

Hepatolenticular degeneration （HLD） is an autosomal recessive genetic disorder characterized by copper metabolism impairment， and it is one of the few treatable neurogenetic diseases. A retrospective analysis was performed for the clinical data of four patients with HLD who attended Beijing Ditan Hospital， Capital Medical University， from November 2023 to October 2024， and the genetic testing results of three patients were analyzed， along with a literature review. Among the four patients， there was one female patient and three male patients. All patients had the initial symptoms of dysarthria and limb tremors， and physical examination showed positive K-F rings， normal liver enzyme levels， a reduction in serum ceruloplasmin， and an increase in 24-hour urinary copper excretion. Three patients underwent ATP7B genetic testing， among whom two had compound heterozygous mutations， and one had a heterozygous mutation. In addition， two patients underwent cranial magnetic resonance imaging， and the results showed symmetrical long T1 and long T2 signals. All four patients received copper-chelating therapy and achieved a good outcome. This article reports the diagnosis and treatment of four patients with HLD and identifies a case of HLD resulting from a rare heterozygous mutation site， thereby expanding the variation spectrum of the ATP7B gene.

Rosacea is a common chronic inflammatory skin disease that predominantly affects the central face. It can impair appearance and cause various discomforts, thus negatively impacting patients' physical and mental well-being as well as their quality of life. Its pathophysiological mechanisms involve multiple factors. Studies have confirmed that ultraviolet radiation plays a significant role in the pathogenesis of rosacea, affecting skin tissues, cells, DNA, and proteins, and inducing oxidative damage. Ultraviolet can lead to the occurrence and development of rosacea by up-regulating the expression of LL-37, matrix metalloproteinase, vascular endothelial growth factor, and reactive oxygen species, and influence their interactions, thereby triggering inflammatory responses, altering the dermal matrix, and promoting capillary dilation and neovascularization, which contribute to the onset and progression of rosacea. Exploring the role of ultraviolet in the pathogenesis of rosacea can provide new strategies for protection and treatment, and enhance awareness of ultraviolet protection among patients with rosacea.
Humans ; Rosacea/metabolism* ; Ultraviolet Rays/adverse effects* ; Cathelicidins ; Reactive Oxygen Species/metabolism* ; Antimicrobial Cationic Peptides/metabolism* ; Matrix Metalloproteinases/metabolism* ; Vascular Endothelial Growth Factor A/metabolism* ; Skin/metabolism*

Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging, yet there is limited understanding of gut microbiome variation in advanced age. Here, we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years, with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations. In addition to two adult-like enterotypes dominated by Bacteroides (ET-Bacteroides) and Prevotella (ET-Prevotella), we identified a novel enterotype dominated by Escherichia (ET-Escherichia), whose prevalence increased in advanced age. Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus (T2DM) or diet. We characterized the distinct taxonomic and functional profiles of ET-Escherichia, and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype, as well as the lowest species diversity. In addition, we carried out a series of correlation analyses and co-abundance network analyses, which showed that several factors were likely linked to the overabundance of Escherichia members, including advanced age, vegetable intake, and fruit intake. Overall, our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population. Considering the different age distribution of each enterotype, these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Bacteroides ; China ; Diabetes Mellitus, Type 2/microbiology* ; Escherichia coli/classification* ; Gastrointestinal Microbiome/genetics* ; Metagenomics ; East Asian People

Objective:To document any effect of combining transcranial magnetic stimulation (rTMS) with peripheral magnetic stimulation (rPMS) to relieve shoulder pain in hemiplegic stroke survivors.Methods:Sixty hemiplegic stroke survivors with shoulder pain were randomly divided into a Central Group ( n=20), a Peripheral Group ( n=20), and a Combined Group ( n=20). In addition to routine pharmacological intervention and rehabilitation training, the Central Group received 10Hz rTMS over the M1 area of the affected hemisphere, the Peripheral Group received 20Hz rPMS at Erb′s point of the affected limb, while the Combined Group received rTMS followed by rPMS. Before as well as after 2 and 4 weeks of treatment, all were assessed using a numerical pain intensity rating scale (NRS), for passive range of motion (PROM) of the shoulder joint, and using the Fugl-Meyer upper extremity assessment (FMA). Results:Before the treatment there were no significant differences among the 3 groups. After 2 weeks there was significant improvement in the average shoulder PROM and FMA scores, and a significant decrease in the average NRS ratings. After 4 weeks there was continued significant improvement. After 2 and 4 weeks, the Combined Group gave significantly lower NRS ratings than the others and had greater average shoulder PROM improvement. The average FMA score of the Combined Group (36.10±13.32) after two weeks was significantly better than those of the Central and Peripheral groups. However, no significant differences were found between the Central and Peripheral Groups in the other measurements.Conclusions:Both rTMS and rPMS can relieve shoulder pain and promote the recovery of motor function, with superior synergistic effects observed in their combined application.

Objective Focusing on gynecological surgery,we constructed a prediction model for surgical duration by extracting features from unstructured surgical planning texts and integrating multimodal data via artificial intelligence technology.Methods The clinical data of 34 614 patients who underwent gynecologic surgeries at West China Second University Hospital,Sichuan University between January 2022 and October 2024 were collected.An embedding-transformer model was constructed to convert surgical planning texts into a one-dimensional numerical feature,referred to as the step feature.The predictive value of the step feature was assessed by comparing the performance improvements of linear regression,random forest,eXtreme Gradient Boosting(XGBoost),support vector regression,K-nearest neighbor regression,and artificial neural network algorithms in two scenarios—with and without the step feature as an input.The out-of-sample prediction accuracy of the models was assessed using mean absolute error(MAE),root mean squared error(RMSE),and R-squared(R2).Furthermore,the model interpretability was examined using SHapley Additive exPlanations(SHAP)values.Results SHAP results showed that the step feature had the highest predictive contribution.Temporal factors in surgical scheduling also influenced gynecological surgery duration.The XGBoost model demonstrated optimal performance on the test set,significantly improving prediction accuracy with a 40.43%increase in R2,while reducing MAE and RMSE by 21.27%and 20.13%,respectively,compared to the baseline model without the step feature.Conclusion The embedding-transformer model developed in this study effectively extracts features from surgical planning texts and enhances the predictive performance of machine learning models.The XGBoost prediction model can assist hospital administrators in implementing more refined management of gynecological surgeries and improving the utilization efficiency of surgical resources.

Objective:To document any effect of combining transcranial magnetic stimulation (rTMS) with peripheral magnetic stimulation (rPMS) to relieve shoulder pain in hemiplegic stroke survivors.Methods:Sixty hemiplegic stroke survivors with shoulder pain were randomly divided into a Central Group ( n=20), a Peripheral Group ( n=20), and a Combined Group ( n=20). In addition to routine pharmacological intervention and rehabilitation training, the Central Group received 10Hz rTMS over the M1 area of the affected hemisphere, the Peripheral Group received 20Hz rPMS at Erb′s point of the affected limb, while the Combined Group received rTMS followed by rPMS. Before as well as after 2 and 4 weeks of treatment, all were assessed using a numerical pain intensity rating scale (NRS), for passive range of motion (PROM) of the shoulder joint, and using the Fugl-Meyer upper extremity assessment (FMA). Results:Before the treatment there were no significant differences among the 3 groups. After 2 weeks there was significant improvement in the average shoulder PROM and FMA scores, and a significant decrease in the average NRS ratings. After 4 weeks there was continued significant improvement. After 2 and 4 weeks, the Combined Group gave significantly lower NRS ratings than the others and had greater average shoulder PROM improvement. The average FMA score of the Combined Group (36.10±13.32) after two weeks was significantly better than those of the Central and Peripheral groups. However, no significant differences were found between the Central and Peripheral Groups in the other measurements.Conclusions:Both rTMS and rPMS can relieve shoulder pain and promote the recovery of motor function, with superior synergistic effects observed in their combined application.

OBJECTIVE To provide reference for basic analysis of the pharmacodynamic substance in Stahlianthus involucratus. METHODS Overall 24 SD male rats were randomly divided into blank group （purified water）， and administration group （ethanol extract of S. involucratus， 15.75 g/kg， calculated by crude drug）， with 12 rats in each group. They were given drug liquid/purified water intragastrically， twice a day， every 6-8 h， for consecutive 3 days. After medication， the blood， urine and fecal samples were collected from two groups of rats. UPLC-Q-Exactive-MS technology was used to identify the chemical constituents in the ethanol extract of S. involucratus， and metabolites in the blood， urine and fecal of rats after intragastrical administration of the ethanol extract of S. involucratus. Multivariate statistical analysis was employed to screen various serum metabolites. Metabolic pathways were analyzed by MetaboAnalyst 5.0 platform. RESULTS A total of 38 chemical constituents were identified from the ethanol extract of S. involucratus， including fourteen prototype components and three metabolites identified from 5 urine samples， nine prototype components identified from fecal samples， and ten prototype components and one metabolite identified from serum samples. A total of 71 differential metabolites were screened from two groups of rat serum samples， of which 44 differential metabolites， such as ferulic acid， glycyrrhizin， were up-regulated and 27 differential metabolites， such as arachidonic acid， phenylacetylglutamine， were down-regulated. The 71 differential metabolites were mainly enriched in 11 metabolic pathways， including phenylalanine metabolism， linoleic acid metabolism， arachidonic acid metabolism， and tryptophan metabolism. CONCLUSIONS Ferulic acid， liquiritigenin， isofraxidin and formononetin may be the material basis that directly exert pharmacological effects of S. involucratus. S. involucratus may exert anti-inflammatory effects by affecting metabolic pathways， including arachidonic acid metabolism and tryptophan metabolism.

OBJECTIVE To analyze the metabolites of Zhideke granules and speculate its metabolic pathway in rats in vivo. METHODS Male SD rats were randomly divided into blank group and administration group （Zhideke granules， 9.45 g/kg）； they were given ultrapure water or relevant medicine， twice a day， every 6-8 h， for 3 consecutive days. Serum， urine and feces samples of rats were collected， and their metabolites were identified by UPLC-Q-Exactive-MS technique after intragastric administration of Zhideke granules； their metabolic pathways were speculated. RESULTS After intragastric administration of Zhideke granules， 16 prototype components （i.g. irisflorentin， baicalin， chlorogenic acid） and 11 metabolites （i.g. hydration products of kaempferol or luteolin， methylation products of chlorogenic acid， and hydroxylation products of baicalin） were identified in serum， urine and feces of rats. Among them， 8 prototype components and 4 metabolites were identified in serum samples； 10 prototype components and 7 metabolites were identified in urine samples； 8 prototype components and 5 metabolites were identified in the fecal samples. CONCLUSIONS The metabolites of Zhideke granules in rats mainly include baicalin， irisflorentin，chlorogenic acid， and the main metabolic pathways included methylation， hydroxylation， glucuronidation.