ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

Objective: To investigate the prevalence and associated factors of depressive symptoms among junior and senior high school students in Beijing from 2019 to 2023, in order to provide a scientific basis for interventions targeting high risk groups. Methods: From 2019 to 2023, a stratified cluster random sampling method was used to select 88 927 junior and senior high school students from 16 districts in Beijing. The Center for Epidemiologic Studies Depression Scale(CES-D) was conducted to assess depressive symptoms. The Chi square test was used to compare the detection rates of depressive symptoms among different student groups, and the trend Chi square test was employed for trend analysis of detection rates across the years. Multivariate Logistic regression analysis was applied to examine the association between the detection of depressive symptoms and related factors among junior and senior high school students. Results: From 2019 to 2023, the prevalence rates of depressive symptoms among junior and senior high school students in Beijing were 20.45%, 18.19%, 16.64%, 17.89% and 18.17%, respectively, with an overall downward trend ( χ 2 trend =27.51, P <0.01). Multivariate Logistic regression analysis revealed that after adjusting for gender, monitoring year, educational stage,family structure,boarding status and has taken a medical leave of absence in the past year unhealthy dietary behaviors ( OR=1.80, 95%CI =1.73-1.87), physical inactivity ( OR=1.24, 95%CI =1.19-1.29), try smoking ( OR=1.46, 95%CI =1.35-1.58), try alcohol( OR=1.96, 95%CI =1.88-2.05), Internet addiction ( OR=3.88, 95%CI =3.57-4.22), and adverse ear related behavior ( OR=1.82, 95%CI =1.71-1.93) were all associated with an increased risk of depressive symptoms among junior and senior high school students (all P <0.05). Conclusions The prevalence depression symptoms among middle school students in Beijing showed a fluctuating downward trend from 2019 to 2023. Targeted interventions should be adopted to reduce the occurrence of depression symptoms among junior and senior high school students.

Objective: To understand the trends of classroom lighting and illumination of primary and secondary schools in Beijing from 2016 to 2023, so as to provide a scientific basis for targeted improvement measures. Methods: A sampling survey was conducted on the lighting and illumination indicators of 8 390 classrooms in primary and secondary schools in Beijing from 2016 to 2023. The survey included classroom daylight factor, window to floor area ratio, average illuminance and illuminance uniformity on the desks, average illuminance and illuminance uniformity on blackboards, as well as classroom lighting and blackboard illumination sources. Intergroup comparisons were performed using the Kruskal-Wallis H test and the Chi square test, and Spearman correlation analysis was used to examine the trend of classroom lighting and illumination changes. Results: Except the window to floor area ratio, the measured values and compliance rates of all lighting and illumination indicators showed an overall upward trend from 2016 to 2023 (daylight factor r = 0.27, χ 2 trend =206.80, average illuminance on the desk surface r =0.30, χ 2 trend =87.97, illuminance uniformity on the desk surface r =0.14, χ 2 trend =73.59, average illuminance on the blackboard r =0.33, χ 2 trend =477.43, illuminance uniformity on the blackboard r = 0.09, χ 2 trend =50.76) (all P ＜0.01). The lighting and illumination indicators of classrooms (included classroom daylight factor, average illuminance and illuminance uniformity on the desks, average illuminance and illuminance uniformity on blackboards) in urban schools, primary schools, and secondary schools from 2016 to 2023 showed an upward trend (urban r =0.23-0.40, χ 2 trend =88.66-392.18; primary school r =0.12-0.36, χ 2 trend =39.50-281.44; secondary schools r =0.06-0.31, χ 2 trend =11.79-213.73) (all P ＜ 0.01 ). The illuminance uniformity on the blackboard in suburban schools showed a downward trend ( r = -0.09, χ 2 trend =31.53, both P ＜0.01). The illuminance uniformity on the desk surface in suburban schools showed no significant change ( r =0.03, χ 2 trend =1.23, both P ＞0.05). The other indicators showed an upward trend (daylight factor r =0.28, χ 2 trend =40.69, average illuminance on the desk surface r =0.24, χ 2 trend =16.35, average illuminance on the blackboard r =0.25, χ 2 trend =118.05, all P ＜0.01). The trends of classroom and blackboard illumination sources were that fluorescent lamps decreased year by year and LED lamps increased by year (classroom illumination sources χ 2 trend =1 059.82, blackboard illumination sources χ 2 trend =1 070.25, both P ＜0.01). Conclusions The classroom lighting and illumination in primary and secondary schools in Beijing has shown an overall improving trend from 2016 to 2023. However, problems remain, such as limited improvement of illuminance uniformity indicators, late start and poor effect of reconstruction in suburban schools. Further improvements are still needed.

ObjectiveTo determine whether Jinshui Huanxian component formula Ⅱ （ECC-JHF Ⅱ） and matrix hardness interfere with the process of epithelial-mesenchymal transition （EMT） during pulmonary fibrosis by regulating integrin β₁ （ITG β₁）， and to elucidate the underlying mechanism. MethodsA pulmonary fibrosis mouse model was established by a single intratracheal instillation of bleomycin （BLM）. To observe the disease progression at various time points， the mice were sacrificed before modeling and on days 7， 14， 21， 28 and 42 after modeling for assessment of relevant indicators. To evaluate the therapeutic effect of drug intervention， the mice were given ECC-JHF Ⅱ and pirfenidone （PFD） by gavage starting on day 29 after modeling for 14 days of treatment， after which the mice were sacrificed. Pulmonary function， pathological changes， collagen deposition， lung tissue hardness and EMT markers were detected. Polyethylene glycol （PEG） composite hydrogels with different hardness were prepared in vitro using biomaterials such as eight-arm polyethylene glycol thiol （PEG-SH） and eight-arm polyethylene glycol maleimide （PEG-MAL）. Human type Ⅱ alveolar epithelial cells cultured in hard matrix culture dishes were treated with low， medium， and high doses of ECC-JHF Ⅱ （15.31， 30.63， 61.25 mg·L^-1） to observe the intervention effect of ECC-JHF Ⅱ on EMT induced by transforming growth factor beta 1 （TGF-β₁）. Human type Ⅱ alveolar epithelial cells cultured on soft （3.8 kPa） and hard （culture dishes， ~ GPa） matrices were treated with ECC-JHF Ⅱ， respectively. The mRNA and fluorescence expression levels of the epithelial marker E-cadherin （CDH1）， the mesenchymal marker N-cadherin （CDH2） and vimentin （VIM）， as well as ITG β₁， were detected by real-time quantitative polymerase chain reaction （Real-time PCR） and immunofluorescence. Western blot was used to detect the protein expression of CDH1， CDH2 and ITG β₁， and the biomechanical mechanism of ECC-JHF Ⅱ on EMT and pulmonary fibrosis was further verified by knocking down and specific activation of ITG β₁. ResultsECC-JHF Ⅱ treatment improved BLM-induced pulmonary fibrosis in mice， as evidenced by significantly increased minute ventilation （MV） and 50% expiratory flow at tidal volume （EF₅₀） （P<0.05）， and significantly increased tidal volume （TV） after treatment （P<0.01） compared with the model group. Immunohistopathological analysis revealed attenuated inflammation and alveolar injury， reduced deposition of type Ⅰ collagen （Col-Ⅰ）， and significantly decreased lung tissue stiffness （P<0.01）， thereby alleviating disease progression. The real-time PCR results showed that， compared with the model group， the ECC-JHF Ⅱ group showed increased CDH1 expression and decreased CDH2 and VIM expression in mouse lung tissues （P<0.05， P<0.01）， indicating that ECC-JHF Ⅱ inhibited the EMT process to ameliorate pulmonary fibrosis. In vitro experimental results showed that both ECC-JHF Ⅱ and matrix softening reversed the EMT phenotype switch. Specifically， compared with the hard matrix group， the cells cultured on the soft matrix exhibited significantly upregulated expression of the epithelial marker CDH1 （P<0.01） and significantly downregulated expression of the mesenchymal markers CDH2 and VIM （P<0.05）. Furthermore， ECC-JHF Ⅱ inhibited the expression of ITG β₁ both in vitro and in vivo. Knockdown and specific activation of ITG β₁ further confirmed that ITG β₁ is involved in the regulatory process by which ECC-JHF Ⅱ inhibits EMT and ameliorates pulmonary fibrosis. ConclusionECC-JHF Ⅱ and matrix softening can block the EMT process and ameliorate pulmonary fibrosis， and the underlying mechanism may be associated with the inhibition of ITG β₁-mediated mechanotransduction. This study reveals a novel mechanism of ECC-JHF Ⅱ intervention in pulmonary fibrosis from a biomechanical perspective.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Tacrolimus is an immunosuppressant that was clinically used for organ transplantation in the 1990s. In the early 2000s, tacrolimus began to be used to treat pediatric kidney diseases in China. This article reviews the therapeutic effects, clinical dosages, and treatment methods of tacrolimus in the treatment of steroid-resistant, steroid-dependent, frequently relapsing, different pathological types, and monogenic mutation-related childhood nephrotic syndrome. It explores the clinical guiding role of machine learning in tacrolimus treatment for childhood nephrotic syndrome, aiming to provide references for the clinical research and application of tacrolimus in pediatric kidney diseases.

Whole-genome sequencing, serotype typing, MLST typing, population genetic structure analysis, and core-genome single nucleotide polymorphism (cgSNP) analysis were performed on 23 strains of mucoid Haemophilus influenzae collected from the Laboratory Center of Hunan Children′s Hospital from January 2021 to December 2022. Drug susceptibility tests were conducted using the automated microbial identification and susceptibility analysis system AF-600, and virulence genes and drug resistance genes were analyzed based on the whole-genome sequences. Based on the serotype typing of whole-genome sequencing, all 23 strains were Haemophilus influenzae type b (Hib). MLST analysis revealed that the 23 strains belonged to six ST types, among which 10 strains (43.5%) were ST386, 5 strains (21.7%) were ST18, and 2 strains (8.7%) were the newly discovered ST2887. Bayesian population structure analysis (BAPS) showed three distinct populations. The results of the virulence gene analysis showed that the carriage rates of genes encoding capsule-related proteins and those associated with bacterial immune regulation and inflammatory signaling pathways were all 100%. However, the ompP5 gene related to bacterial adhesion, and the hgpC and hxuA genes related to bacterial protein metabolism were all present in the newly discovered ST2887. The in vitro drug susceptibility test results of 23 strains of mucoid Hib showed that the resistance rates to ampicillin, cefuroxime, and Trimethoprim-sulfamethoxazole were 13.0%(3 strains), 13.0%(3 strains), and 87.0%(20 strains), respectively. They were sensitive to other beta-lactam drugs. All the 23 strains of mucoid Haemophilus influenzae infected children were Hib, and the main ST types were ST386 and ST18. It is very important to advocate Hib vaccination.

Objective To investigate the acupoint selection law in acupuncture therapy for post-stroke respiratory dysfunction through data mining techniques with R language;To provide references for acupoint selection of clinical acupuncture practice for this disease.Methods Clinical research literature about acupuncture therapy for post-stroke respiratory dysfunction was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Cochrane Library,Web of Science and Embase from the establishment of the databases to February 20,2025.An acupuncture prescription database was established using Excel 2021.R 4.4.3 was used to analyze acupoint application frequency,meridian tropism,regional distribution and specific acupoints,and clustering analysis and association rule analysis were performed.Results Totally 123 articles were obtained,including 123 acupuncture prescriptions,involving 110 acupoints with a total application frequency of 723 times.High-frequency acupoints included Feishu(BL13),Hegu(LI4),Zusanli(ST36)and Fengchi(GB20),etc.The most frequently used meridians were the Bladder Meridian,Ren Meridian,Lung Meridian and Stomach Meridian.Acupoints were predominantly distributed in the head,neck and back regions,with crossing acupoints being the most commonly employed specific acupoints.Clustering analysis identified five meaningful acupoint combinations.The acupoint pair"Feishu(BL13)-Pishu(BL20)"demonstrated the strongest association.Conclusion Acupuncture treatment for post-stroke respiratory dysfunction follows the principle of strengthening the spleen to resolve phlegm and ventilating lung qi.The core acupoint combination is Feishu(BL13)-Pishu(BL20),with additional a acupoints adjusted based on syndrome differentiation to optimize therapeutic efficacy.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.