OBJECTIVE To explore a synergistic medication strategy integrating stage-specific modifications of Bushen huoxue decoction with hormone replacement therapy （HRT） for premature ovarian insufficiency （POI）. METHODS The connotation of Academician Tong Xiaolin’s “state-target differentiation and treatment” theory and the disease stage characteristics of POI were summarized. The latent stage， subclinical stage， clinical stage and exhaustion stage of POI were classified into corresponding core pathogenesis “states” and key objective indicator “targets”. Taking Bushen huoxue decoction as the basic prescription， its staged modification scheme and its sequential combination with HRT were analyzed. RESULTS & CONCLUSIONS The four stages of POI correspond to four pathogenic states respectively： kidney yin deficiency， kidney deficiency and blood stasis， heart-kidney disharmony， and deficiency of both yin and yang. Follicle-stimulating hormone （FSH）， anti-Müllerian hormone （AMH）， antral follicle count （AFC） and Kupperman score were taken as the evaluation targets of staging. Combined with the “state-target” characteristics of each stage， a medication principle based on Bushen huoxue decoction with syndrome differentiation modification and stage-adjusted administration was established： traditional Chinese medicine dominates in the latent stage， a sequential collaborative regimen is adopted in the subclinical stage， HRT is dominant supplemented by traditional Chinese medicine in the clinical stage， and integrated traditional Chinese and Western medicine is applied to consolidate the root cause in the exhaustion stage.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

Objective: To explore the temporal variation in physical health status among college students, analyze the correlation and dose response relationship between body mass index (BMI) and physical fitness indicators, so as to provide a scientific basis for physical health intervention among college students in universities. Methods: A total of 4 910 freshmen in the 2021 grade at Xi an Jiaotong University were selected. The BMI and changes in five physical fitness indicators (50 meter run, endurance run, standing long jump, sit and reach, and pull up or 1 minute sit up) were continuously assessed during follow up evaluations from 2021 to 2024. One way analysis of variance, generalized estimating equation (GEE), and other statistical methods were used to analyze the trends in temporal variation among the physical fitness indicators as well as the correlation characteristics and dose response relationship between BMI and physical fitness. Results: In 2021 the overweight and obesity rates among male freshmen were 20.36 % and 8.62%, respectively, and 12.91% and 2.91% among female freshman, respectively. From 2021 to 2024 the BMI of male and female students showed an upward trend with a significant increase( F =87.29,3.69,both P <0.05). The physical fitness indicators for both male and female students, including the 50 meter run, standing long jump, pull up and 1 minute sit up, first increased and then decreased, the endurance run performance decreased, and the sit and reach performance first decreased and then increased. The GEE model showed that BMI was negatively correlated with the performance of standing long jump, pullup/1 minute sit up, and sit and reach in both male and female students（ β =-1.72，-0.34，-0.15；-0.94，-0.26，-0.12）, and positively correlated with the time of 50 meter run and endurance run（ β =0.05，3.16；0.03，1.86）（all P ＜0.05）. The increase in BMI was associated with physical fitness decline in a non linear dose response relationship, while the sit and reach performance reached a peak at a BMI of approximately 22 kg/m 2, then decreased with the further increase in BMI. Conclusions A significant negative correlation is demonstrated between BMI and physical fitness indicators and male students are more sensitive to changes in BMI. College students should be guided to actively manage their weight and attach importance to physical exercise to improve their physical health.

Objective : To investigate the status of electronic cigarette use and its influencing factors among residents aged ≥15 years in Chengdu City in 2021 and 2024, so as to provide the evidence for optimizing electronic cigarette control strategies. Methods: Two rounds of cross-sectional surveys were conducted in 2021 and 2024. Multi-stage cluster random sampling method was used to select permanent residents aged ≥15 years in Chengdu City as survey subjects. The Chinese Adult Tobacco Survey Questionnaire was used to collect information on gender, age, and electronic cigarette use. Complex sampling weighting was used to calculate the rate of electronic cigarette use and the proportion of reasons for electronic cigarette use. A complex sampling multivariable logistic regression model was used to analyze the influencing factors for electronic cigarette use. Results: A total of 7 950 and 6 920 people were surveyed in 2021 and 2024, respectively, including 3 868 and 3 653 males (48.65% and 52.79%), and 4 082 and 3 267 females (51.35% and 47.21%), respectively. The rate of electronic cigarette use in 2024 was lower than in 2021 (2.29% vs. 3.15%, P<0.05). In 2024, the rates of electronic cigarette use were lower in males, rural areas, people aged 15-<45 years, educational level of bachelor' s degree or above, occupation in government/public institutions or occupation in enterprises/commercial/service industries, and current smokers compared with 2021, while the rate of electronic cigarette use was higher in residents aged ≥65 years compared with 2021 (all P<0.05). In 2021 and 2024, the main reasons for electronic cigarette use were smoking cessation and the belief that electronic cigarettes are less harmful. Smoking cessation accounted for 27.78% and 23.28%, and the belief that electronic cigarettes are less harmful accounted for 24.26% and 22.10%, respectively. Complex sampling multivariable logistic regression analysis showed that age (15-<25 years, OR=15.682, 95%CI: 5.660-43.450; 25-<45 years, OR=7.463, 95%CI: 2.987-18.647; 45-<65 years, OR=3.425, 95%CI: 1.562-7.510), educational level (bachelor' s degree or above, OR=2.916, 95%CI: 1.444-5.891), and smoking (current, OR=23.992, 95%CI: 8.182-70.353; former, OR=20.393, 95%CI: 6.150-67.624) were influencing factors for electronic cigarette use in 2021. Gender (male, OR=2.279, 95%CI: 1.074-4.832), age (25-<45 years, OR=2.114, 95%CI: 1.148-3.892), educational level (high school/vocational high school/technical secondary school, OR=2.792, 95%CI: 1.414-5.514; bachelor' s degree or above, OR=3.321, 95%CI: 1.567-7.039), occupation (unemployed, retired, and retired, OR=0.449, 95%CI: 0.226-0.892), and smoking (current, OR=10.547, 95%CI: 5.563-19.994; former, OR=8.998, 95%CI: 3.833-21.125) were influencing factors for electronic cigarette use in 2024. Conclusions Compared with 2021, the rate of electronic cigarette use among residents in Chengdu City decreased in 2024. Young people, males, bachelor' s degree or above, and current smokers are the key populations for electronic cigarette control. The cognitive bias held by residents that electronic cigarette can aid in smoking cessation and pose minimal harm needs to be corrected.

Objective:To analyze the effects of the disease and injury spectrum on health-adjusted life expectancy (HALE) among permanent residents aged 55 and above in Shenzhen from 2016 to 2030.Methods:Based on the mortality surveillance data and the permanent resident population data in Shenzhen from 2016 to 2022, the Sullivan method was used to calculate the HALE during 2016—2022. The Bayesian age-period-cohort model and the grey system model were used to predict the HALE during 2023—2030. The HALE changes in the two periods were decomposed into the contributions of 20 categories of diseases and injuries, respectively.Results:From 2016 to 2022, the HALE increased from 31.41 years (95% CI: 30.50-32.32) to 33.57 years (95% CI: 32.47-34.67). During this period, the mortality effect of neurological disorders slowed the increase of HALE, with a reduction of 0.27 years. By 2030, it is anticipated that the HALE will reach 36.40 years (95% CI: 34.78-38.01). This is expected to be influenced by the mortality effects of nutritional deficiencies (-0.40 years) and mental disorders (-0.29 years), as well as the disability effects of musculoskeletal disorders (-0.66 years), skin and subcutaneous diseases (-0.21 years) and nutritional deficiencies (-0.13 years). Conclusion:The HALE of permanent residents aged 55 years and above in Shenzhen demonstrated an increasing trend over time. Greater attention should be paid to the adverse effects of neurological disorders, nutritional deficiencies, mental disorders, musculoskeletal disorders, and skin and subcutaneous diseases on the continuous increase of HALE in this population.

Objective:To establish a preliminary performance validation protocol for the bioinformatics procedure of metagenomic next-generation sequencing (mNGS) in clinical laboratories.Methods:Three types of simulated datasets were designed and the CatⅠ dataset mainly consisted of pathogen reference genomes and human sequences. CatⅠA was a dataset composed of common pathogens mixed with human sequences and was used to evaluate the inclusiveness, accuracy, recall rates, precision, F1-Score, and other indicators of the mNGS bioinformatics procedure. CatⅠB was a dataset composed of closely related species of common pathogens mixed with human sequences, which was used to evaluate the discriminating ability of closely related species of bioinformatics procedure by calculating the detection rates and the relative abundance ratio of closely related species. The real data of 200 clinical samples was selected to construct CatⅡ and the simulated dataset consisted of colonized bacteria, experimental environment bacteria, reagent engineering bacteria, pathogen reference genomes, and human sequences, which was used to evaluate the sensitivity, specificity, and accuracy of bioinformatics pipeline for pathogens detection. The CatⅢ dataset was obtained from the negative bronchoalveolar lavage fluid BALF sequencing data mixed with 20 rare pathogens sequences in order to evaluate the positive detection rates and recall rates of rare pathogens in the bioinformatics analysis.Results:The analysis of the CatⅠA dataset showed that the positive consistency rate, inclusiveness, precision and accuracy of the bioinformatics peocedure under three sequence gradients were all greater than 99%, with a recall rate of 72.31% (95% CI 69.61%-75.01%) and a F1 Score of 82.00% (95% CI 79.77%-84.22%). In the CatⅠB dataset, the closely related species could be effectively detected at all sequence and proportion gradients, and the relative abundance ratio of closely related species was within 2 times of the design ratio except for the coronavirus, haemophilus, primate bocaparvovirus, human respiratory syncytial virus, and eimeria, indicating good ability to identify the closely related species. All the 24 species of pathogens included in CatⅡ dataset were effectively detected, with the sensitivity, specificity, and accuracy all greater than 90%. All rare pathogens were detected in the CatⅢ dataset, with a detection rate of 100%. Conclusions:With the simulated datasets, the performance validation scheme for the mNGS bioinformatics analysis was preliminary established and could evaluate the accuracy of sequence classification, the ability to identify the closely related species, and detection ability of common and rare pathogens, which may provide some references for the construction of mNGS process.

Objective:Utilizing the principles of mechanical vibrations dissections and low-temperature coagulation of harmonic scalpel, and combining the magnifying effect of 3D thoracoscopy and the advantage of low trauma, we used harmonic scalpel to harvest the left internal mammary artery (LIMA) under thoracoscopy, and explored the feasibility and early effect of harmonic scalpel in minimally invasive coronary artery bypass grafting (MICABG).Methods:A total of 488 patients who underwent MICABG from July 2021 to December 2023 in Dong E Hospital were collected. Among them, 347 patients was harvested using harmonic scalpel under thoracoscopy. Following anastomosis, the blood flow and pulsatility index (PI) from the graft to the target vessel were determined using a transit time flow meter (MiraQ, Medistim, Norway), and patency was checked. Data from 347 patients were analyzed.Results:All 347 patients were performed under non-extracorporeal circulation and successful graft patency was achieved in all patients. Analysis of 79 patients revealed a median time to LIMA acquisition of 32 min and a median length of acquisition of 15 cm. No graft-related events or complications occurred in any of the patients, and 2 patients died postoperatively. During a median follow-up of 12.1 months, only one patient experienced graft occlusion necessitating intervention.Conclusion:The utilization of harmonic scalpel for LIMA harvesting in MICABG is feasible and yields stable early results.

AIM To establish an HPLC method for the simultaneous content determination of 5-hydroxymethylfurfural,chlorogenic acid,caffeic acid,strychnine,paeoniflorin,ferulic acid,paeoniflorin Ⅰ,epimedium glycoside,psoralen,isopsoralen and glycyrrhetinic acid in Bunao Soft Capsules.METHODS The analysis was performed on a 35 ℃ thermostatic Waters Symmetry C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 230,280 nm.RESULTS Eleven constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.47％-103.30％with RSDs of 1.13％-2.80％.CONCLUSION This simple and reliable method can be used for the quality control of Bunao Soft Capsules.