ObjectiveTo investigate the metabolic alterations of serum short chain fatty acids （SCFAs） in pediatric patients with atopic dermatitis （AD） and their correlation with different clinical phenotypes using targeted metabolomics. MethodsThis study enrolled 87 AD patients and 67 healthy controls （HC）. Serum levels of eight SCFAs were quantified by ultra-high-performance liquid chromatography-mass spectrometry. The associations between SCFAs and AD were assessed using various statistical methods. ResultsCompared with the HC group， levels of acetic acid （AA）， propionic acid （PA）， and caproic acid （CA） （P=0.002，P=0.002，P=0.043） decreased in the AD group. Logistic regression analysis identified AA （OR=0.449， 95% CI： 0.289–0.698） and PA （OR = 0.487， 95% CI： 0.324–0.732） as protective factors against AD. The combination of AA and PA yielded an area under the curve （AUC） greater than 0.7， indicating good diagnostic efficacy. Age-stratified analysis revealed that AA reduction was predominant in childhood， whereas PA reduction was predominant in adolescence. Pathway enrichment analysis showed significant enrichment of fatty acid biosynthesis （FDR=0.341， P=0.003） and vitamin K metabolism （FDR=1， P=0.039） pathways. Furthermore， subgroup analyses based on disease severity， personal/family history of atopy， and sex revealed no significant differences in SCFAs levels among the groups. ConclusionDifferential serum SCFAs and their enriched metabolic pathways may be implicated in the pathogenesis of AD.

ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.

Osteoporosis(OP) is a senile bone disease characterized by an imbalance between bone remodeling and bone formation. Targeting pathogenesis of kidney deficiency, spleen deficiency, and blood stasis, Bushen Jianpi Huoxue Decoction has a significant effect on the treatment of OP by tonifying kidney, invigorating spleen, and activating blood circulation. MicroRNA(miRNA) and the anti-apoptotic protein B-cell lymphoma-2-like protein 1(BCL2L1) are closely related to bone cell metabolism. Therefore, in this study, the binding of miR-140-5p to BCL2L1 was detected by dual luciferase assay and polymerase chain reaction(PCR). After silencing or overexpressing miR-140-5p, the apoptosis, autophagy, and osteogenic function of human fetal osteoblast cell line 1.19(HFOB1.19) were observed by flow cytometry and Western blot. Bushen Jianpi Huoxue Decoction-containing serum was prepared by intragastric administration of Bushen Jianpi Huoxue Decoction in rats. Different concentrations of Bushen Jianpi Huoxue Decoction-containing serum were used to treat HFOB1.19 with or without miR-140-5p mimic. The expression of osteogenic proteins in each group was observed, and the role of miR-140-5p/BCL2L1 in apoptosis and autophagy of HFOB1.19 was studied, along with the effect of Bushen Jianpi Huoxue Decoction on these processes. As indicated by the dual luciferase assay, miR-140-5p bound to BCL2L1. Flow cytometry and Western blot showed that miR-140-5p promoted apoptosis and inhibited autophagy in HFOB1.19. After intervention with high, medium, and low doses of Bushen Jianpi Huoxue Decoction-medicated serum, compared with the miR-140-5p NC group, the expression of osteocalcin(OCN), osteopontin(OPN), Runt-related transcription factor 2(RUNX2), and transforming growth factor beta 1(TGF-β1) decreased in the miR-140-5p mimic group, while the expression of bone morphogenetic protein 2(BMP2) showed no significant difference under high-dose intervention. Therefore, miR-140-5p/BCL2L1 can promote apoptosis and inhibit autophagy in HFOB1.19. Bushen Jianpi Huoxue Decoction can affect the osteogenic effect of miR-140-5p through BMP2.
MicroRNAs/metabolism* ; Autophagy/drug effects* ; Apoptosis/drug effects* ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Cell Line ; bcl-X Protein/metabolism* ; Osteoblasts/metabolism* ; Rats ; Osteoporosis/physiopathology* ; Male ; Rats, Sprague-Dawley ; Osteogenesis/drug effects*

Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Practice Guidelines as Topic ; Drugs, Chinese Herbal/therapeutic use*

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

This study aims to investigate whether resistance exercise can effectively alleviate disuse skel-etal muscle atrophy by activating the skeletal muscle Piezo1/AMPK/PGC-1α signaling pathway,impro-ving mitochondrial function and promoting myogenesis.8-week-old male C57BL/6J mice were used.Dis-use muscle atrophy was simulated by hind limb plaster fixation,and the mice were divided into the con-trol group,the disuse muscle atrophy group,the disuse muscle atrophy+resistance exercise group,and the disuse muscle atrophy+resistance exercise+Piezo1 inhibitor group.The resistance exercise group underwent an 8-week resistance training program.Methods such as Western Blotting,immunofluores-cence staining,and mitochondrial mass and function detection were employed to evaluate skeletal muscle mass,function,mitochondrial status,and myogenesis.Resistance exercise significantly increased the cross-sectional area of skeletal muscle in mice with disuse muscle atrophy by 23％(P＜0.01)and the relative mass of skeletal muscle by 11％(P＜0.01).Resistance exercise led to an average increase of 206 m in the longest running distance of mice(P＜0.01),an average increase of 36.7 g in the maxi-mum bearing capacity(P＜0.01),and an average reduction of 1.5 s in the balance beam crawling time(P＜0.01).Meanwhile,it upregulated the expression of the protein levels of Piezo1,AMPK,and PGC-1α(P＜0.01).In addition,resistance exercise increased the activity or protein expression levels of MMP,TFAM,COX Ⅰ,CS,ATPB,ATPase,ATP,p-mTOR/mTOR,p-P70S6K/P70S6K,Pax7,and MyoD in skeletal muscle(P＜0.05,P＜0.01).However,inhibiting Piezo1 decreased the expres-sion of the above enzyme activities and protein levels(P＜0.05,P＜0.01).Resistance exercise allevi-ates disuse skeletal muscle atrophy effectively by activating the Piezo1/AMPK/PGC-1α pathway,impro-ving skeletal muscle mitochondrial quality and function,and promoting protein synthesis and myogenesis.

Objective:To observe the efficacy of plasma beam combined with intense pulsed light on facial burn scars and its impact on scar score and pain level.Method:This study was a prospective study,and a random number table method was used to divided 92 patients with facial burn scars who were admitted to Maoming People's Hospital from March 2024 to August 2024 into control group(received intense pulsed light treatment,46 cases)and study group(received plasma beam treatment in addition to the control group,46 cases).The efficacy,related scale scores,scar recovery and incidence of adverse reaction rates between two groups were compaerd.Result:Compared with control group after treatment,the clinical total effective rate and the chinese version of the simplified burn health scale(BSHS-B)score of the study group were higher,while vancouver scar scale(VSS),visual analogue scale(VAS)scores,scar thickness,and scar blood flow perfusion were lower(P＜0.05).There was no significant difference in the incidence of adverse reaction rates between the two groups(P＞0.05).Conclusion:Plasma beam combined with intense pulsed light on facial burn scars,can improve clinical efficacy,improve scar thickness and blood flow perfusion,alleviate scar itching and pain,and has good safety in treating facial burn scar patients.

This study aims to investigate the mechanism through which Xiangshao Granules treat anxiety and depression using metabolomics and gut microbiota techniques, combined with animal experiments. Sixty female ICR mice were selected for the experiment and randomly divided into six groups: a control group, a model group, a low-dose Xiangshao Granules group, a medium-dose Xiangshao Granules group, a high-dose Xiangshao Granules group, and an estradiol(positive drug) group. Except for the control group, rats in other groups were induced for anxiety and depression model by ovariectomy(OVX) combined with chronic unpredictable mild stress(CUMS). After successful modeling, the mice received oral administration of Xiangshao Granules or estradiol for three weeks. Anxiety and depression behaviors in mice were evaluated using light-dark box tests, open field tests, and elevated plus-maze tests. The levels of substances closely related to anxiety and depression, such as serotonin(5-HT) and estrogen(E_2), were quantified in plasma and hippocampal tissue using enzyme-linked immunosorbent assay(ELISA). Metabolomics and 16S rDNA amplicon sequencing techniques were employed to analyze the regulatory effects of Xiangshao Granules on plasma metabolites and metabolic pathways in anxiety and depression mice, as well as their impact on the distribution of gut microbiota. Finally, the correlation between plasma metabolites and differential gut microbiota was constructed using the Spearman correlation coefficient method. Behavioral experimental results indicated that, compared to the control group, the model group exhibited significantly decreased dwell time in the light box, reduced total distance in the open field, and diminished dwell time in the open arm. In contrast, high dose of Xiangshao Granules were found to increase the dwell time in the light box and total distance in the open field. ELISA results indicated that the levels of 5-HT, gamma-aminobutyric acid(GABA), E_2 were significantly decreased, luteinizing hormone(LH), adrenocorticotropic hormone(ACTH), and corticosterone(CORT) were significantly elevated in the anxiety and depression mice, and treatment with middle, high dose of Xiangshao Granules reversed the levels of these substances. Additionally, in the anxiety and depression mouse model, the levels of follicle-stimulating hormone(FSH) were significantly increased, whereas middle, high dose of Xiangshao Granules decreased FSH levels. Metabolomics analysis revealed that Xiangshao Granules significantly changed the metabolic profile of the anxiety and depression mice, affecting central carbon metabolism, amino acid biosynthesis, and ABC transporter pathways. The results from 16S rDNA amplicon sequencing showed that Xiangshao Granules improved the relative abundance of genera such as Bacteroidia, Bacilli, Lactobacillales, and Lactobacillus. Spearman correlation analysis indicated a close association between specific differential gut microbiota and plasma differential metabolites. This study suggests that Xiangshao Granules significantly ameliorate anxiety and depression symptoms in mice by altering the levels of substances associated with these conditions, including 5-HT, GABA, E_2, LH, and ACTH. The metabolomics and gut microbiota data suggest that the therapeutic mechanism may be closely related to the regulation of amino acid biosynthesis, central carbon metabolism, and the alteration of key microbial community compositions.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Anxiety/microbiology* ; Depression/microbiology* ; Gastrointestinal Microbiome/drug effects* ; Mice ; Female ; Mice, Inbred ICR ; Metabolomics ; Serotonin/metabolism* ; Humans ; Disease Models, Animal ; Rats ; Behavior, Animal/drug effects*