Objective To analyze the urban drinking water quality and its influencing factors in Anhui Province from 2014 to 2022, and to provide a scientific basis for water quality improvement and protection. Methods The data were collected, saved and monitored according to the Standard Test Method for Drinking Water (GB/T5750-2006) and evaluated according to the Hygienic Standard for Drinking Water (GB 5749-2006). Results A total of 20 941 samples were collected, and the overall qualified rate was 84.26%. The qualified rate of urban drinking water increased from 76.9% in 2014 to 93.3% in 2022, and the qualified rate of water quality was on the rise (χ²=544.43, P＜0.01). From 2014 to 2022, the qualified rate of water quality in dry season was higher than that in wet season (χ²=35.98, P<0.001), the qualified rate of surface water was higher than that of ground water (χ²=4440.8, P<0.001), and the qualified rate of peripheral tap water was higher than that of factory water (χ²=145.1, P<0.001). Among all kinds of disinfection methods, chlorination disinfection had the highest qualified rate (χ²=1483.8, P<0.001). The qualified rate of water quality increased with the increase of the scale of water plant. Among the inspected indicators, the main unqualified indicators were chlorine dioxide (7.72%), fluoride (7.41%), free residual chlorine (3.90%), and total bacterial count (2.13%). Conclusion The passing rate of urban drinking water quality in Anhui Province is on an upward trend, and the quality of urban drinking water has improved. However, it is still important to pay attention to the problem of excessive microorganism and fluoride in water, and the quality of drinking water varies from place to place.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

BACKGROUND: Molecular subtyping is an essential complementarity after pathological analyses for targeted therapy. This study aimed to investigate the consistency of next-generation sequencing (NGS) results between circulating tumor DNA (ctDNA)-based and tissue-based in non-small cell lung cancer (NSCLC) and identify the patient characteristics that favor ctDNA testing. METHODS: Patients who diagnosed with NSCLC and received both ctDNA- and cancer tissue-based NGS before surgery or systemic treatment in Lung Cancer Center, Sichuan University West China Hospital between December 2017 and August 2022 were enrolled. A 425-cancer panel with a HiSeq 4000 NGS platform was used for NGS. The unweighted Cohen's kappa coefficient was employed to discriminate the high-concordance group from the low-concordance group with a cutoff value of 0.6. Six machine learning models were used to identify patient characteristics that relate to high concordance between ctDNA-based and tissue-based NGS. RESULTS: A total of 85 patients were enrolled, of which 22.4% (19/85) had stage III disease and 56.5% (48/85) had stage IV disease. Forty-four patients (51.8%) showed consistent gene mutation types between ctDNA-based and tissue-based NGS, while one patient (1.2%) tested negative in both approaches. Patients with advanced diseases and metastases to other organs would be suitable for the ctDNA-based NGS, and the generalized linear model showed that T stage, M stage, and tumor mutation burden were the critical discriminators to predict the consistency of results between ctDNA-based and tissue-based NGS. CONCLUSION ctDNA-based NGS showed comparable detection performance in the targeted gene mutations compared with tissue-based NGS, and it could be considered in advanced or metastatic NSCLC.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Circulating Tumor DNA/blood* ; High-Throughput Nucleotide Sequencing/methods* ; Female ; Male ; Lung Neoplasms/pathology* ; Middle Aged ; Mutation/genetics* ; Aged ; Adult ; Aged, 80 and over

Loss of protein homeostasis is a hallmark of cellular senescence, and ribosome pausing plays a crucial role in the collapse of proteostasis. However, our understanding of ribosome pausing in senescent cells remains limited. In this study, we utilized ribosome profiling and G-quadruplex RNA immunoprecipitation sequencing techniques to explore the impact of RNA G-quadruplex (rG4) on the translation efficiency in senescent cells. Our results revealed a reduction in the translation efficiency of rG4-rich genes in senescent cells and demonstrated that rG4 structures within coding sequence can impede translation both in vivo and in vitro. Moreover, we observed a significant increase in the abundance of rG4 structures in senescent cells, and the stabilization of the rG4 structures further exacerbated cellular senescence. Mechanistically, the RNA helicase DHX9 functions as a key regulator of rG4 abundance, and its reduced expression in senescent cells contributing to increased ribosome pausing. Additionally, we also observed an increased abundance of rG4, an imbalance in protein homeostasis, and reduced DHX9 expression in aged mice. In summary, our findings reveal a novel biological role for rG4 and DHX9 in the regulation of translation and proteostasis, which may have implications for delaying cellular senescence and the aging process.
G-Quadruplexes ; Cellular Senescence ; Ribosomes/genetics* ; Humans ; Animals ; Mice ; DEAD-box RNA Helicases/genetics* ; Protein Biosynthesis ; RNA/chemistry* ; Neoplasm Proteins

Background::The Global Leadership Initiative on Malnutrition (GLIM) criteria were published to build a global consensus on nutritional diagnosis. Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria. However, there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings. This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition, as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients.Methods::This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1, 2018, and February 28, 2022, at Beijing You-An Hospital, Capital Medical University. Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography (CT) examination during hospitalization were included in the study. These patients were randomly divided into a modeling group (cohort 1, 667 patients) and a validation group (cohort 2, 335 patients). In cohort 1, optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index (L3-SMI) were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups. Next, patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. Additionally, the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1. Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes.Results::The optimal cut-off values of L3-SMI were 39.50 cm 2/m 2 for male patients and 33.06 cm 2/m 2 for female patients. Based on the cut-off values, 31.63% (68/215) of the male patients and 23.3% (28/120) of the female patients had CT-determined sarcopenia in cohort 2. The prevalence of GLIM-defined malnutrition in cirrhotic patients was 34.3% (115/335) and GLIM-defined malnutrition was an independent risk factor for in-hospital mortality in patients with liver cirrhosis ( Wald = 6.347, P = 0.012). Conclusions::This study provided reference values for skeletal muscle mass index and the prevalence of GLIM-defined malnutrition in hospitalized patients with liver cirrhosis. These reference values will contribute to applying the GLIM criteria in cirrhotic patients.

Malignant tumors in children are one of the most important diseases that threaten the health and quality of life of children and are the second most common cause of death in children.With the continuous improvement and progress of treatment technology, the long-term survival rate of children with tumor has been significantly improved, but both the disease itself and the treatment can impair the immune function of children, which makes them vulnerable to various infectious diseases and secondary serious complications, and even become a source of infection, endangering the health of others. Vaccination is the most cost-effective measure to prevent infectious diseases. For children with normal immune functions, the benefits of vaccination usually outweigh the disadvantages. However, there is a lack of detailed data on the vaccination situation, efficacy and safety of vaccine use for such immunocompromised tumor survivors, and there are no authoritative and uniform vaccination recommendations. This article reviewed and summarized the literature and consensus of some domestic and foreign scholars on current status of post-treatment vaccination status, efficacy and safety of vaccination for children with tumors after treatment, with the aim of providing a reference for the practice in this field in China.

ObjectiveTo analyze the distribution characteristics of common non-bacterial pathogens in hospitalized children with acute respiratory tract infection(ARTI) in Suzhou from 2021 to 2023, and to provide a basis for the prevention and treatment of children with ARTI. MethodsA total of 14 953 patients with ARTI admitted to the internal medicine ward of the Children’s Hospital of Soochow University from September 2021 to July 2023 were retrospectively selected. Multiple RTFQ-PCR and capillary electrophoresis were used to detect 13 respiratory pathogens from throat swab samples, and the pathogen distribution was analyzed. ResultsThe total detection rate of respiratory virus in the14 953 hospitalized children with ARTI was 76.23% (11 398/14 953). Single infection accounted for 75.10% (8 560/11 398), while mixed infection accounted for 24.90% (2 838/11 398). The top three pathogens detected were rhinovirus (23.35%, 3 492/14 953), respiratory syncytial virus (19.53%, 2 920/14 953), and Mycoplasma pneumoniae(MP) (13.31%, 1 990/14 953). The detection rate of human Bocavirus and rhinovirus were higher in boys than that in girls (P=0.008, P<0.001), while the detection rate of MP was higher in girls than that in boys (P<0.01). The detection rates of RSV and Chlamydia pneumoniae (CP) were the highest in children under 1 year of age. Parainfluenza virus human, Bocavirus, rhinovirus, adenovirus and coronavirus were most commonly detected in children aged between 1‒3 years. The detection rates of influenza A virus, influenza A (H1N1) virus, influenza A (H3N2) virus and metapenu⁃movirus were the highest in children aged between 3‒6 years. The detection rates of influenza B virus and MP were the highest in children older than 6 years. The detection rates of influenza A virus, influenzaA (H1N1) virus and RSV were the highest in spring. The detection rates of influenza A (H3N2) virus and MP were the highest in summer. The detection rates of parainfluenza virus, human Bocavirus, rhinovirus and metapenu-movirus were the highest in autumn. The detection rate of influenza B virus was the highest in winter. The detection rate of respiratory tract viruses varied by type of disease, and the difference is statistically significant (χ²=220.280, P<0.001). The positive rate of respiratory tract virus was 79.15% and 78.83% in patients with bronchitis and bronchopneumonia, respectively. Rhinovirus was the most commonly detected pathogen in patients with bronchitis (42.71%), bronchopneumonia (22.58%), and severe pneumonia (23.19%). ConclusionIn recent years, respiratory tract infections in children in the Suzhou area have primarily been viral infections, with rhinovirus, RSV and MP being the main pathogens. The detection rates of respiratory pathogens vary by age and season.

Objective: To examine the association of hypertension onset age with diabetes, so as to provide insights into reducing the the risk of cardiovascular events. Methods: Permanent residents aged 35 to 75 years were selected through the program of early screening and comprehensive intervention for the high-risk cardiovascular disease population in Changning District and Baoshan District, Shanghai Municipality from 2016 to 2020. Demographic information, disease history, hypertension onset age, blood pressure and fasting blood glucose were collected through questionnaire surveys, physical examination and laboratory tests. The residents were divided into four groups based on the onset age of hypertension: <45, 45-<55, 55-<65 and ≥65 years old, and the residents with normal blood pressure were selected as control. The association of hypertension onset age with prediabetes and diabetes were identified using a multivariable logistic regression model. Results: A total of 25 228 residents were recruited, including 8 753 males (34.70%) and 16 475 females (65.30%). The prevalence of hypertension was 43.80%. There were 1 779, 3 274, 3 781 and 2 217 cases with hypertension onset age of <45, 45-<55, 55-<65 and ≥65 years old, respectively, and 14 177 residents with normal blood pressure. The prevalence of prediabetes and diabetes were 24.01% and 11.29%, respectively. Multivariable logistic regression analysis showed that after adjusting for confounding factors such as gender, marital status and educational level, compared with the normal blood pressure group, the risk of prediabetes was higher in the hypertension onset age groups of <45 (OR=1.345, 95%CI: 1.164-1.553), 45-<55 (OR=1.365, 95%CI: 1.212-1.536) and 55-<65 years old (OR=1.376, 95%CI: 1.239-1.527), and the risk of diabetes was higher in the hypertension onset age groups of <45 (OR=2.302, 95%CI: 1.906-2.775), 45-<55 (OR=2.349, 95%CI: 2.016-2.734), 55-<65 (OR=1.909, 95%CI: 1.667-2.184) and ≥65 years old (OR=1.315, 95%CI: 1.131-1.526). Conclusion There are statistically significant associations between hypertension onset age with prediabetes and diabetes.

Objective To analyze the characteristics of newly-diagnosed occupational diseases among female workers in Foshan City from 2013 to 2023. MethodsClinical data of newly-diagnosed occupational diseases among female workers in Foshan City from 2013 to 2023 were collected from the "Occupational Disease and Hazardous Detection Information System" subsystem of the "China Disease Prevention and Control Information System", and their distribution characteristics were analyzed using descriptive epidemiology. Results A total of 218 cases of newly-diagnosed occupational diseases among female workers in Foshan City were reported from 2013 to 2023, categorized into seven categories and 17 types. The median age and median length of exposure to occupational hazards among female workers were 45.1 and 7.8 years, respectively. The top three categories of newly-diagnosed cases were occupational diseases of the ear, nose, throat, and oral cavity (90 cases, all related to occupational noise-induced hearing loss), occupational chemical poisoning (61 cases), and occupational pneumoconiosis and other respiratory diseases (51 cases, including 50 cases with occupational pneumoconiosis). The newly-diagnosed cases were concentrated in Nanhai District, Shunde District, and Gaoming District, accounting for 75.2%. The newly-diagnosed cases were found in non-metallic mineral products manufacturing industry, metal products industry, and electrical machinery and equipment manufacturing industry, accounting for 50.9%. Enterprises of newly-diagnosed cases were mainly distributed in private enterprises and foreign-invested enterprises, accounting for 80.3%. The scale of enterprises of newly-diagnosed cases was mainly small- and medium-sized, accounting for 79.4%. Among the 218 cases, there were 21 cluster cases, involving 16 cases of occupational silicosis and five cases of occupational acute n-hexane poisoning, involving six manufacture industries, with 81.3% cases worked in sanitary ceramic products industry. Conclusion Occupational noise-induced deafness should be listed as a key occupational disease for female workers in Foshan City. Attention should be paid to the prevention of occupational diseases among middle-aged female workers in the non-metallic mineral products industry and small and medium-sized enterprises, and the cluster outbreaks of occupational pneumoconiosis.

OBJECTIVE: Anemoside B4 (AB4), the most abundant triterpenoidal saponin isolated from Pulsatilla chinensis, inhibited influenza virus FM1 or Klebsiella pneumoniae-induced pneumonia. However, the anti-SARS-CoV-2 effect of AB4 has not been unraveled. Therefore, this study aimed to determine the antiviral activity and potential mechanism of AB4 in inhibiting human coronavirus SARS-CoV-2 in vivo and in vitro. METHODS: The cytotoxicity of AB4 was evaluated using the Cell Counting Kit-8 (CCK8) assay. SARS-CoV-2 infected HEK293T, HPAEpiC, and Vero E6 cells were used for in vitro assays. The antiviral effect of AB4 in vivo was evaluated by SARS-CoV-2-infected hACE2-IRES-luc transgenic mouse model. Furthermore, label-free quantitative proteomics and bioinformatic analysis were performed to explore the potential antiviral mechanism of action of AB4. Type I IFN signaling-associated proteins were assessed using Western blotting or immumohistochemical staining. RESULTS: The data showed that AB4 reduced the propagation of SARS-CoV-2 along with the decreased Nucleocapsid protein (N), Spike protein (S), and 3C-like protease (3CLpro) in HEK293T cells. In vivo antiviral activity data revealed that AB4 inhibited viral replication and relieved pneumonia in a SARS-CoV-2 infected mouse model. We further disclosed that the antiviral activity of AB4 was associated with the enhanced interferon (IFN)-β response via the activation of retinoic acid-inducible gene I (RIG-1) like receptor (RLP) pathways. Additionally, label-free quantitative proteomic analyses discovered that 17 proteins were significantly altered by AB4 in the SARS-CoV-2 coronavirus infections cells. These proteins mainly clustered in RNA metabolism. CONCLUSION Our results indicated that AB4 inhibited SARS-CoV-2 replication through the RLR pathways and moderated the RNA metabolism, suggesting that it would be a potential lead compound for the development of anti-SARS-CoV-2 drugs.