Objective: To compare the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) model, the Prophet model, and the Bayesian structural time series (BSTS) model in forecasting the incidence of hand, foot, and mouth disease (HFMD) , so as to provide a basis for optimizing the early warning system of this disease. Methods: Weekly incidence data of HFMD in Longgang District, Shenzhen City from 2014 to 2024 were collected. The HFMD incidence data from 2014-2019 and 2023 were used as the training set to construct SARIMA, Prophet, and BSTS models, while the data from 2024 were used as the test set to compare and evaluate the predictive performance of the three models. The technique for order preference by similarity to ideal solution (TOPSIS) method was employed to calculate the C-value. This approach integrates multiple evaluation metrics, such as the mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and symmetric mean absolute percentage error (SMAPE), to comprehensively assess model performance. Results: A total of 150 111 cases of HFMD were reported in Longgang District from 2014 to 2024, with an average annual incidence of 400.72/105. The weekly incidence fluctuated between 0 and 63.78/105, exhibiting a bimodal seasonal pattern characterized by a primary peak from May to July and a secondary peak from September to October. In the training set, all three models demonstrated a good fit to the bimodal epidemic trend of HFMD, with the BSTS model achieving the best fit. The BSTS model yielded performance metrics as follows: MAE=0.124, MSE=0.050, RMSE=0.223, SMAPE=0.021, and a C-value of 1.000. In the test set, all three models, including SARIMA, Prophet, and BSTS, performed well for short-term predictions (≤16 weeks), with the Prophet model showing relatively superior predictive performance. However, the prediction accuracy of all models declined as the forecast horizon extended. During the primary peak period (May-July), the Prophet model exhibited better predictive performance, whereas the BSTS model performed relatively better during the secondary peak period (September-October). Conclusions For the short-term forecasting of weekly HFMD incidence, the Prophet model outperformed both the SARIMA and BSTS models. During the primary peak period, the Prophet model demonstrated superior predictive performance, whereas the BSTS model exhibited better accuracy in forecasting the secondary peak period.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

[Objective] To study on the genotyping of a sample with inconsistent forward and reverse serological tests, and to conduct a pedigree investigation and molecular biological mechanism study. [Methods] The ABO blood group of the proband and his family members were identified using blood group serological method. The ABO gene exon 1-7 of samples of the proband and his family were sequenced by Sanger and single molecule real-time sequencing (SMRT). DeepTMHMM was used to predict and analyze the transmembrane region of proteins before and after mutation. [Results] The proband and his mother have the Bw phenotype, while his maternal grandfather has ABw phenotype. The blood group results of forward and reverse typing of other family members were consistent. ABO gene sequencing results showed that there was B new mutation of c.3 G>C in exon 1 of ABO gene in the proband, his mother and grandfather, leading to a shift in translation start site. DeepTMHMM analysis indicated that the shift in the translation start site altered the protein topology. [Conclusion] The c.3G>C mutation in the first exon of the ABO gene leads to a shift in the translation start site, altering the protein topology from an α-transmembrane region to a spherical signaling peptide, reducing enzyme activity and resulting in the Bw serological phenotype.

Liumotang comes from the Yuan dynasty's Effective Prescription Handed Down for Generations of Physicians. It is composed of six medicinal materials： Arecae Semen， Aquilariae Lignum Resinatum， Aucklandiae Radix， Linderae Radix， Rhei Radix et Rhizoma， and Aurantii Fructus. It is a classical formula for treating abdominal pain due to Qi stagnation and constipation accompanied by heat. This study systematically collated the records of Liumotang in ancient medical books and modern clinical literature and conducted in-depth analysis and textual research on its formula source， main diseases， composition， dosage， medical books， container capacity， processing， preparation method， usage， drug basis， formula meaning， and other key information， so as to provide a powerful reference for the development and clinical application of compound preparations of the classical formula Liumotang. The results show that Liumotang was first seen in Effective Prescription Handed Down for Generations of Physicians， and many medical books of the past dynasties have imitated this. In terms of drug basis， the dried and mature seeds of the palm plant Areca catechu， resin-containing wood of the Daphneaceae plant Aquilaria sinensis， the dried roots of the Asteraceae plant woody Aucklandia lappa， the dried tuber root of the Lauraceae plant Lindera aggregata， the dried roots and rhizomes of the knotweed plant， R. palmatum， R.tangutikum， and R. officinale， and the dried and unripe fruits of the citrus genus C. aurantium and its cultivated varieties from the family Rutaceae were selected. In terms of dosage， through the textual research on bowls in the Ming and Qing dynasties， combined with the conversion of medicines and bowl capacity in the Qing dynasty， it was estimated that the dosage of each drug in the Yuan dynasty was 10.86 g. In the Ming and Qing dynasties， the dosage of drugs was mostly equal， but the dosage of drugs was somewhat different. In terms of processing， preparation method， and usage， in the medical books of the past dynasties， the processing of drugs has slightly changed， but raw drugs are used in all preparations. The preparation method and usage did not change much during the Yuan， Ming， and Qing dynasties， except for certain differences in dosage. In terms of syndrome， Liumotang was first used to treat abdominal pain due to Qi stagnation and constipation accompanied by heat. Medical books of the past dynasties often omit the symptoms of heat. In modern clinical practice， Liumotang is mainly used in the digestive system and urinary system diseases and is mostly used to treat constipation-predominant irritable bowel syndrome， biliary reflux gastritis， functional constipation， slow transit constipation， and other diseases， with no adverse reactions found yet. The above results provide a reliable scientific basis for the development and clinical treatment of Liumotang compound preparations.

ObjectiveTo observe the intervention effect of Fufang Kangjiaolv capsules on anxiety-like behaviors in the rat model of chronic restraint stress （CRS） and explore the mechanism underlying the anti-anxiety effect via the microbiota-gut-brain axis. MethodsRats were assigned into blank， model， positive drug （diazepam， 1 mg·kg^-1）， and low-， medium-， and high-dose （0.75， 1.5， 3 g·kg^-1， respectively） Fufang Kangjiaolv capsules groups. After 14 days of administration， the elevated plus maze test， open field test， light and dark box test， and marble burying test were performed. Hematoxylin-eosin staining was employed to observe the pathological changes in the hippocampus and colon of rats， and Nissl staining was conducted to observe the damage of hippocampal neurons. The gut microbiota was analyzed by 16S rRNA gene sequencing. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of zonula occludens-1 （ZO-1） and occludin in the colon of rats. The levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） in the colon， serum， and hippocampus were determined by enzyme-linked immunosorbent assay. Western blot was employed to determine the protein levels of ZO-1， occludin， nuclear factor-κB p65 （NF-κB p65） in the colon tissue and NF-κB p65 and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. ResultsCompared with the blank group， the model group showed reductions in the time and frequency ratio of rats entering the elevated plus maze， the time and frequency of rats entering the central area of the open field， the time of entering the open box， the times of passing through the light and dark box， and the number of unburied beads （P<0.05， P<0.01）. Compared with the model group， Fufang Kangjiaolv capsules ameliorated the anxiety of the model rats to varying degrees， and the high-dose group had the best effect， with increases in the proportions of time and frequency of rats entering the open arm in the elevated plus maze （P<0.05）， the number of rats entering the central area in the open field （P<0.05）， the time of entering the open box， the times of passing through the light and dark boxes， and the number of unburied beads （P<0.01）. Moreover， the high-dose group showed alleviated pathological damage of hippocampal neurons and colon. The results of 16S rRNA gene sequencing showed that the model group had increased relative abundance of Firmicutes， Deferribacterota， Romboutsia， and Phascolarctobacterium， while it had decreased relative abundance of Bavcteroidota and Lactobacillus. The drug administration groups showed increased relative abundance of Bavcteroidota， Bacteroides， norank f norank o Clostridia UCG-014， and Blautia and decreased relative abundance of Firmicutes and Deferribacterota. Compared with the blank group， the model group showed down-regulated protein and mRNA levels of ZO-1 and occludin in the colon （P<0.01）， elevated levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated protein level of NF-κB p65 in the colon and hippocampus （P<0.01）， and down-regulated protein level of BDNF in the hippocampus （P<0.05）. Compared with the model group， high-dose Fufang Kangjiaolv capsules up-regulated the mRNA levels of ZO-1 and occludin in the colon （P<0.01）， lowered the levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated the protein levels of ZO-1 （P<0.01） and occludin （P<0.05） in the colon， down-regulated the protein level of NF-κB p65 in the colon and hippocampus （P<0.05）， and up-regulated the protein level of BDNF in the hippocampus. ConclusionFufang Kangjiaolv capsules can reduce the anxiety-like behaviors in the rat model of CRS by regulating the gut microbiota disturbance， up-regulating the expression of tight junction proteins in the colon， repairing intestinal mucosal mechanical barrier， and down-regulating NF-κB/BDNF signaling pathway， thereby reducing peripheral and central inflammation. This study proves the hypothesis that Fufang Kangjiaolv capsules play an anti-anxiety role via the microbiota-gut-brain axis， providing a new idea for further research.

ObjectiveTo explore the mechanism of Shouhui Tongbian capsules in treating constipation based on the research foundation of its active components combined with network pharmacology and animal experiments. MethodsThe drug components were imported into SwissTargetPrediction to predict the targets of Shouhui Tongbian capsules， and constipation-related targets were collected from disease databases. A protein-protein interaction （PPI） network was constructed for the common targets shared by Shouhui Tongbian capsules and constipation to screen key targets， which was followed by gene ontology （GO） function and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment analyses. A "bioactive component-target-pathway" network was constructed， and the core components of Shouhui Tongbian capsules in treating constipation were screened based on the topological parameters of this network. Molecular docking was employed to predict the binding affinity of core components to key targets. A mouse model of constipation was constructed to screen the key pathways and targets of the drug intervention in constipation. ResultsThe PPI network revealed six key constipation-related targets： protein kinase B （Akt1）， B-cell lymphoma-2 （Bcl-2）， glycogen synthase kinase-3β （GSK-3β）， cyclooxygenase-2 （PTGS2）， estrogen receptor 1 （ESR1）， and epidermal growth factor receptor （EGFR）. The KEGG pathway analysis showed that the phosphatidylinositol 3-kinase （PI3K）/Akt signaling pathway was the most enriched. The topological parameter analysis of the "bioactive component-target-pathway" network screened out the top 10 core components： auranetin， isosinensetin， naringin， diosmetin， quercetin， apigenin， luteolin， hesperidin， isorhapontigenin， and chrysophanol. Molecular docking results showed that the 10 core components had strong binding affinity with the 6 key targets. Animal experiments showed that after intervention with different doses of Shouhui Tongbian capsules， the time to the first black stool excretion was reduced and the fecal water content and small intestine charcoal propulsion rate of mice were improved. After treatment with Shouhui Tongbian capsules， the colonic mucosal injury and glandular arrangement were alleviated， and the muscle layer thickness was increased. Western blot results showed that Shouhui Tongbian capsules recovered the expression of apoptosis-related molecules mediated by the PI3K/Akt pathway in the colonic tissue of constipated mice. Terminal-deoxynucleotidyl transferase-mediated nick end labeling （TUNEL） results showed that the cell apoptosis rate of the colon significantly reduced after intervention with Shouhui Tongbian capsules. ConclusionThe results of network pharmacology and animal experiments confirmed that Shouhui Tongbian capsules can treat constipation through multiple targets and pathways. The capsules can effectively intervene in loperamide-induced constipation in mice by regulating the constipation indicators and reducing cell apoptosis in the colon tissue via activating the PI3K/Akt signaling pathway.

As a chronic and lifelong disease， diabetes mellitus occurs across all age groups and gender groups. Since the disease requires lifelong treatment， it seriously affects the quality of life of patients. With the rising incidence on a global scale， diabetes mellitus has become a global problem that seriously affects public health. Moreover， the complications of this disease have aroused concern from the global medical research community， the World Health Organization， and the public. In the past， Western medicine was used in the clinical treatment of diabetes mellitus， which， however， had drug dependence， unsatisfactory efficacy， and side effects. Long-term oral administration of antidiabetics may cause liver and kidney function damage， hypoglycemia and other adverse symptoms. The treatment of diabetes mellitus has been faced with challenges such as limited efficacy and obvious side effects. Therefore， exploring more effective treatment means， especially tapping the potential of traditional Chinese medicine （TCM） in the treatment of diabetes mellitus， is a major issue to be solved. TCM has shown a great application value and a broad prospect in the treatment of diabetes mellitus because of multi-target regulation， a holistic view， synergistic effects， and high safety. TCM has a history of thousands of years in the prevention and treatment of diabetes mellitus， with rich experience accumulated and remarkable results achieved. Particularly， TCM demonstrates definite therapeutic effects on the complications. The application of TCM in the treatment of complications has been recognized and accepted by patients because of the definite therapeutic effect. In recent years， great progress has been achieved in the treatment of diabetes mellitus by the combination of Chinese and western medicine， which has made important contributions to the control of diabetes mellitus. This paper reviews the articles about the treatment of diabetes mellitus with TCM classic prescriptions， summarizes the treatment of clinical cases regarding the indications of these prescriptions， and provides an overview of the treatment mechanisms， aiming to offer fresh insights and strategies for the clinical diagnosis and treatment of diabetes mellitus.

Objective: To explore the relationship of family function with sleep and externalizing problem behaviors of preschool children, so as to provide a guidance for externalizing problem prevention and intervention among preschool children. Methods: From October 2023 to January 2024, a convenience sampling method was used to select 5 138 preschool children from kindergartens in 8 districts of Wuhan City, Hubei Province. Parents completed the survey for Family Adaptability and Cohesion Scale, children s sleep habits and Child Behavior Checklist (CBCL). Spearman correlation analysis was used to examine the correlation of family function with scores of sleep quality and externalizing problem behaviors among preschool children. A mediation model analysis and bootstrap test were conducted to further investigate the mediating role of sleep quality between family function and externalizing problem behaviors. Mplus 8.7 software was used for latent profile analysis of family function. Results: The reported rates of poor sleep quality and externalizing problem behaviors among preschool children were 11.8% ( n =607), 20.0% ( n =1 026). The relevant analysis results showed that family function was negatively correlated with sleep quality and externalizing problem behaviors ( r = -0.20, -0.23), and sleep quality was positively correlated with externalizing problem behaviors ( r =0.27) ( P <0.01). The mediation effect test showed that family function negatively predicted externalizing problem behaviors ( β =-0.079) and sleep quality ( β = -0.075), while sleep quality positively predicted externalizing problem behaviors ( β =0.215) ( P <0.01). The latent profile analysis results showed that family function could be classified into 4 categories: high family function group (23.01%), upper middle family function group (44.65%), moderate family function group (26.24%) and low family function group (6.11%). Compared to high family function, the other three categories significantly positively predicted externalizing problem behaviors, and the mediating effects of sleep quality on different categories of family function were statistically significant [upper middle family function: mediation effect value was 0.022 (95% CI =0.004-0.041) and direct effect value was 0.329 (95% CI =0.263-0.396); middle family function: mediation effect value was 0.087 (95% CI =0.063-0.115) and direct effect value was 0.491 (95% CI =0.416-0.565); low family function: mediation effect value was 0.144 (95% CI =0.107-0.185) and direct effect 0.621 (95% CI =0.503-0.740)] ( P < 0.05 ). Conclusion Family function negatively predicts the externalizing problem behaviors of preschool children, and sleep quality plays a partial mediating role.

Objective To prepare and characterize caspofungin acetate-loaded solid lipid nanoparticles using glycerol monostearate （CAS-SLNs）, and investigate the antifungal effect of potentiation on Candida albicans in vitro and in vivo. Methods A high performance liquid chromatography method was established for the determination of caspofungin acetate （CAS）. CAS-SLNs were prepared by the melt-emulsification method and characterized. The minimum inhibitory concentration （MIC） and the inhibitory effect on Candida albicans biofilm were determined. A systemic infection model of Candida albicans was established in mice, and the growth curve models for body weight and fungal load of kidneys of the animals were investigated after intravenous infection. Results The retention time of CAS was 6.8 min. The calibration curve showed good linearity, and the precision and stability met the requirements of the assay. Transmission electron microscopy revealed that CAS-SLNs were spherical, with a particle size of （135.97±1.73） nm. The Zeta potential was （19.33±0.37） mV, drug loading was （7.55±0.68）%, and encapsulation efficiency was （67.71±1.74）%. CAS-SLNs showed significant in vitro antifungal inhibition with a MIC of 9.78×10⁻⁴ g/ml, which was significantly better than CAS group and the physical mixture group of CAS and GMS, as well as the same biofilm inhibition was observed （P<0.001）. Pharmacodynamic studies demonstrated that CAS-SLNs maintained stable body weight gain compared to the control （P<0.01） and CAS groups in Candida albicans invasive infection model, and that CAS-SLNs significantly reduced renal fungal burden load relative to the CAS group （P<0.05）. In vivo study revealed that a stable body weight was maintained in CAS-SLNs group compared to the control group （P<0.01） in Candida albicans invasive infection model. CAS-SLNs also significantly reduced renal fungal load compared to the CAS group （P<0.05）. Conclusion CAS-SLNs significantly enhanced the antifungal effects of CAS in vitro and in vivo, which provided a valuable insight for the research of new formulation of CAS.