Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.

Mitochondria play a pivotal role in spermatogenesis and sperm activation in Caenorhabditis elegans, serving as the primary ATP supplier for cell division and differentiation while also acting as a key regulator of zinc ion homeostasis, membrane dynamics, and apoptotic signaling. This review systematically summarizes the essential mitochondrial mechanisms at different stages of sperm development, highlighting their multifaceted contributions beyond energy metabolism. Mitochondria are crucial for maintaining the health and stability of the gonads by regulating key apoptotic execution proteins that facilitate the proper elimination of damaged or unnecessary germ cells. Additionally, mitochondria dynamically adjust their energy supply to meet the metabolic demands of different stages of germline development. During early spermatogenesis, mitochondria provide ATP to fuel mitotic and meiotic divisions, support cellular differentiation, and regulate H⁺ and Zn²⁺ exchange to maintain cytoplasmic homeostasis, thereby ensuring the proper maturation and functionality of sperm cells. As spermatogenesis progresses, mitochondria participate in processing and sorting essential sperm proteins, such as major sperm protein (MSP), and contribute to the formation of membranous organelles (MOs), which are critical for subsequent activation events. During sperm activation, mitochondria play a dual role in ensuring a successful transition from immotile spermatids to fully functional spermatozoa. First, they provide ATP to facilitate pseudopod formation, MO fusion, and ion channel regulation, all of which are essential for sperm motility and fertilization potential. Second, mitochondria regulate the quality and quantity of functional mitochondria within sperm cells through mitopherogenesis—a recently discovered process in which mitochondrial vesicles are selectively released, ensuring that only healthy mitochondria are retained. This quality-control mechanism optimizes mitochondrial function, which is crucial for sustaining sperm motility and longevity. Beyond their traditional role in energy metabolism, mitochondria may also contribute to protein synthesis during spermatogenesis and activation. Recent evidence suggests that mitochondrial ribosomes actively translate specific proteins required for sperm function, challenging the long-standing belief that spermatozoa do not engage in de novo protein synthesis after differentiation. This emerging perspective raises important questions about the role of mitochondria in regulating sperm activation at the molecular level, particularly in modulating oxidative phosphorylation (OXPHOS) protein composition to optimize ATP production. In summary, mitochondria serve as both the central energy hub and a crucial regulatory factor in sperm activation, metabolic homeostasis, and reproductive success. Their involvement extends beyond ATP generation to include apoptotic regulation, ion homeostasis, vesicle-mediated mitochondrial quality control, and potential contributions to protein synthesis. Understanding these mitochondrial functions in C. elegans not only deepens our knowledge of nematode reproductive biology, but also provides valuable insights into broader mechanisms governing mitochondrial regulation in germline cells across species. These findings open new avenues for future research into the interplay between mitochondria, energy metabolism, and sperm function, with potential implications for reproductive health and fertility studies.

Objective: To investigate the influencing factors for kinesiophobia among elderly patients with chronic obstructive pulmonary disease (COPD), so as to provide the reference for alleviating kinesiophobia among COPD patients. Methods: From December 2023 to July 2024, COPD patients aged 60 years and above who sought medical treatment at a tertiary grade-a hospital in Guiyang City were selected. Demographic information was collected through questionnaire surveys. Kinesiophobia, exercise self-efficacy, social support, type D personality and coping styles were assessed using the Chinese version of Tampa Scale for Kinesiophobia, the Chinese version of the Self-Efficacy for Exercise Scale, Social Support Rating Scale, Type D Personality Scale and Chinese version of the Medical Coping Modes Questionnaire, respectively. Factors affecting kinesiophobia among elderly patients with COPD were analyzed using a multiple linear regression model. Results: A total of 300 COPD patients were surveyed, including 238 males (79.33%) and 62 females (20.67%). The majority of patients had a disease duration of less than 5 years, with 130 cases (43.33%). The average kinesiophobia score was (48.01±7.74) points. The average exercise self-efficacy score was (3.39±1.01) points. The average social support score was (34.42±6.76) points. There were 280 patients (93.33%) with type D personality. The average scores of the confrontation, avoidance, and resignation dimensions of coping styles were (17.42±5.00), (13.76±1.91), and (11.81±2.95) points, respectively. Multiple linear regression analysis showed that age (70-<80 years, β'=0.124; ≥80 years, β'=0.205), educational level (primary school and below, β'=0.228; junior high school, β'=0.182), household monthly income per capita (<3 000 yuan, β'=0.234; 3 000~<5 000 yuan, β'=0.165), social support (β'=0.294), type D personality (β'= 0.170), and coping styles (confrontation dimension, β'=-0.140; avoidance dimension, β'=0.154; resignation dimension, β'=0.175) statistically associated with kinesiophobia among elderly patients with COPD. Conclusion Kinesiophobia among elderly patients with COPD is associated with age, educational level, household monthly income per capita, social support, type D personality and coping styles.

Background Swimming is becoming increasingly popular for its combined leisure and fitness benefits. However, polluted swimming pool water may pose various health risks. Previous studies have indicated that health indicators of swimming venues have lower qualification rates compared to other public places, highlighting the urgent need to optimize hygiene management measures. Objective To assess the overall hygiene status and identify the key factors influencing water quality in Shanghai’s swimming venues from 2010 to 2024, and to provide a scientific basis for optimizing water quality management. Methods Water quality was assessed in three stages (2010—2019, 2020—2022, and 2023—2024) based on the monitoring data of Shanghai’s swimming venues (2010—2024). The influences of monitoring stage, region, season, scale, day of week, and per capita attendance on water quality were analyzed using chi-square tests and logistic regression. Results From 2010 to 2024, water quality was monitored in 1478 swimming venues. The compliance rates of turbidity, pH, urea, oxidation-reduction potential, free residual chlorine, combined residual chlorine, total bacteria, coliforms, and heat-resistant coliforms in swimming pool water, and free residual chlorine in the foot disinfection basin water samples were 99.56%, 94.73%, 73.00%, 47.50%, 56.55%, 54.12%, 97.74%, 99.49%, 99.90%, and 69.19%, respectively. The overall water quality compliance rate was 85.28%. The main non-compliant indicators for swimming pool water were urea, ORP, free residual chlorine, and combined residual chlorine, along with free chlorine residual in the foot disinfection basin water samples. Using the period before the implementation of the new national standard as reference, the results of logistic regression revealed that the qualification rates of urea, ORP, and free residual chlorine in the swimming pool water samples, as well as free residual chlorine in foot disinfection basin water samples, were significantly higher during the two phases after launching the new standard (2020–2022 and 2023–2024), and the associated odds ratios (95%CI) were 1.28 (1.00, 1.64) and 1.48 (1.12, 1.95), 13.35 (7.63, 23.37) and 10.78 (7.00, 16.60), 2.54 (1.81, 3.58) and 3.18 (2.41, 4.20), and 3.14 (2.14, 4.60) and 2.83 (1.89, 4.23), respectively. Compared with the reference group, those sampled in urban pools and in non-summer seasons showed higher qualification rates of urea and ORP; in contrast, the pools with high visitor flow showed lower qualification rates of free residual chlorine in both water samples of swimming pools and foot disinfection basins (P<0.05). Conclusion The implementation of the new national standard has effectively enhanced the management standards and significantly improved overall water quality of swimming venues in Shanghai. However, the compliance rates of free residual chlorine and urea in swimming pool water still need further improvement. The compliance of some indicators is influenced by region, season, scale, and average passenger flow, particularly in small suburban swimming venues. Future efforts should focus on refining water quality management strategies and enhancing public health management.

Influenza virus causes serious threat to human life and health. Due to the inherent high variability of influenza virus, clinically resistant mutant strains of currently approved anti-influenza virus drugs have emerged. Therefore, it is urgent to develop antiviral drugs with new targets or mechanisms of action. RNA-dependent RNA polymerase is directly responsible for viral RNA transcription and replication, and plays key roles in the viral life cycle, which is considered an important target of anti-influenza drug design. From the point of view of medicinal chemistry, this review summarizes current advances in diverse small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase, hoping to provide valuable reference for development of novel antiviral drugs.

Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Objective To evaluate the bioequivalence of metronidazole tablet and reference formulation in Chinese healthy subjects.Methods A single-dose,two-cycle,randomized,open,self-crossover trial was designed with 48 healthy subjects randomly assigned to fasting or postprandial group.For each group,a single oral dose of metronidazole tablet(200 mg)or a reference preparation(200 mg)per cycle were enrolled.The concentration of metronidazole in plasma was measured by high performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS).The non-compartmental model was applied to calculate the pharmacokinetic parameters for bioequivalence analysis via SAS 9.3 software.Results The main pharmacokinetic parameters of test and reference metronidazole tablets in the fasting group were as follows,the Cmax were(4 855.00±1 383.97)and(4 799.13±1 195.32)ng·h·mL-1;the AUC0-t were(54 834.68±12 697.88)and(55 931.35±11 935.28)ng·h·mL-1;the AUC0-∞ were(56 778.09±13 937.76)and(57 922.83±13 260.54)ng·h·mL-1;the Tmax were respectively 1.17 and 1.00 h;t1/2 were(8.99±1.76)and(9.11±1.73)h,respectively.The ratio of the geometric mean and its 90％confidence intervals(CI)of Cmax,AUC0-t and AUC0-∞ were all within the equivalent interval of 80.00％-125.00％.As for postprandial conditions,the main pharmacokinetic parameters of test and reference metronidazole tablets were as follows,the Cmax were(4 057.08±655.08)and(4 044.17±773.98)ng·h·mL-1;the AUC0-t were(55 956.42±12 228.12)and(55 121.04±11 784.55)ng·h·mL-1;the AUC0-∞ were(58 212.83±13 820.00)and(57 350.38±13 229.46)ng·h·mL-1;the Tmax were 2.50 and 2.25 h;the t1/2 were(9.37±1.68)and(9.37±1.79)h,respectively.The ratio of the geometric mean and 90％CI of Cmax,AUC0-t and AUC0-∞ were all within the equivalent interval of 80.00％-125.00％.Conclusion The two preparations were bioequivalent to Chinese healthy adult volunteers under both fasting and fed conditions.

The main protease (M^pro) of SARS-CoV-2 is an attractive target in anti-COVID-19 therapy for its high conservation and major role in the virus life cycle. The covalent M^pro inhibitor nirmatrelvir (in combination with ritonavir, a pharmacokinetic enhancer) and the non-covalent inhibitor ensitrelvir have shown efficacy in clinical trials and have been approved for therapeutic use. Effective antiviral drugs are needed to fight the pandemic, while non-covalent M^pro inhibitors could be promising alternatives due to their high selectivity and favorable druggability. Numerous non-covalent M^pro inhibitors with desirable properties have been developed based on available crystal structures of M^pro. In this article, we describe medicinal chemistry strategies applied for the discovery and optimization of non-covalent M^pro inhibitors, followed by a general overview and critical analysis of the available information. Prospective viewpoints and insights into current strategies for the development of non-covalent M^pro inhibitors are also discussed.

In order to provide a reference basis for the development of relevant compound preparations， this article takes a comprehensive analysis of the usage and dosage of famous classical formulas in Han dynasty from various perspectives， and gives corresponding countermeasures on this basis. Through the comprehensive analysis of the classification and statistics of Zhongjing's medication characteristics， decoction methods， administration and dosage， and combining conversion methods of weights and measures by ancient medical practitioners， along with the dosage and administration of the listed Han dynasty famous classical formulas， it was found that the "Jiangxi method" served as a general guideline for administration according to Zhongjing's original text. This method allowed for flexible dosing based on the conversion of the ancient measurements to modern equivalents［13.8 g per Liang（两）］， ensuring the safe and effective medication of these formulas. After combing， it is found that although the dosage of single medicine is large in famous classical formulas from Han dynasty， the administration is flexible. The crude drug amount per administration serves as the foundational dose， with the frequency of administration adjusted flexibly according to the condition. This dosing approach becomes the key for the rational development of compound formulations of famous classical formulas. Based on the conclusions of the study， it is recommended that when developing compound formulations of famous classical formulas in Han dynasty， the original administration method and dosage should be respected. The original crude drug amount per administration should be considered as the daily foundational dose， with the frequency of administration described within a range（1 to N times per day， where N is the maximum number of administrations as per the original text）. The specific frequency of administration can be adjusted flexibly by clinical practitioners based on the individual condition. This approach should also be adopted in toxicological studies， where the dosage per administration serves as the basis for toxicity research， and the toxicity profile at the maximum administration frequency should be observed， providing guidance on the clinical safety range. Corresponding drug labels should provide information within a range to indicate toxicological risk intervals.

OBJECTIVE To investigate the reasons for interrupting menopausal hormone therapy in patients with menopausal syndrome and analyze the influencing factors that may lead to treatment interruption. METHODS The patients who visited our menopause medicine clinic from March 2022 to November 2023 and established a menopausal health manual were collected retrospectively. The case data were collected through the medical history registered in the manual and the outpatient medical record system. Telephone follow-up was conducted among the patients who had received menopausal hormone therapy to know about whether they were taking medication and to record the reasons for treatment interruption. Univariate analysis and multivariate Logistic regression analysis were adopted to investigate the influencing factors of discontinuing menopausal hormone therapy in patients with menopausal syndrome. RESULTS A total of 183 patients receiving menopause hormone therapy were enrolled. They were divided into interruption group （78 cases） and continuation group （105 cases） according to whether the treatment was interrupted. The results of telephone follow-up showed that the reasons in turn for interruption were perceiving ineffectiveness （16.67%）， concerning about medication risk（15.38%）， the existence of caution case（12.82%） and adverse reactions（10.26%）. The results of univariate analysis showed that there were statistically significant differences in occupation， complications， medication regimen， bone condition and blood viscosity between the two groups （P＜0.05）. Multivariate Logistic regression analysis showed that the absence of complications， osteopenia and osteoporosis， working in public institution and retirement， and the continuous sequential medication regimen favored continuation of menopausal hormone therapy （P＜0.05）. CONCLUSIONS The interruption rate of menopausal hormone therapy is relatively high， and patients are greatly affected by perceiving ineffectiveness and concerning about medication risks， the existence of caution case， and adverse reactions. Complications can cause patients to interrupt treatment， while factors such as osteopenia and osteoporosis， working in public institutions and retirement， and continuous sequential medication regimens make patients more inclined to choose to continue menopausal hormone therapy.