Establishing a three-generation family cohort enables the investigation of the effects of genetic, epigenetic, lifestyle, and parenting factors in the grandparental (F0) and parental (F1) generations on the growth, development, and disease onset and progression of the offspring (F2). It facilitates further exploration of the biological mechanisms underlying the impact of intergenerational factors on the health of the offspring (F2), providing evidence for the formulation of public health policies and measures related to child health management and infant and young child care. Currently, the development of multi-generational cohorts in China remains in a preliminary stage, with no systematic multi-generational research framework yet established. Drawing on prior evidence-based scientific research, existing cohort studies, and the practical experience of multidisciplinary experts in maternal and child health, this consensus defines the scope of three-generation family cohorts regarding their definition, significance, key technologies, and application scenarios. It provides technical recommendations for establishing relevant cohorts, aiming to support research areas such as the intergenerational transmission of childhood diseases, the maternal intrauterine environment, and the tracing of family rearing environments. This will facilitate the early prevention and control of diseases manifesting in childhood and adulthood, ultimately promoting the comprehensive and healthy development of children.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

Objective: To investigate the occupational health literacy (OHL) level and its influencing factors of key populations in Jinhua City, Zhejiang Province, so as to provide a basis for promoting occupational health. Methods: The front-line workers of 7 secondary industry enterprises (institutions) and 15 tertiary industry enterprises (institutions) in Jinhua City were selected from April to October 2023 using a stratified random cluster sampling method. Date of gender, age, length of service, and OHL were collected using the National Occupational Health Literacy Monitoring Survey for Key Population Personal Questionnaire. Factors affecting OHL level among key populations were identified using multivariable logistic regression model. Results: A total of 3 305 people were investigated, including 1 750 males (52.95%) and 1 555 females (47.05%). The median age and the length of service were 37 (interquartile range, 17) and (interquartile range, 9) years, respectively. The level of OHL was 45.63%. Multivariable logistic regression analysis identified gender (female, OR=1.675, 95%CI: 1.428-1.964), educational level (junior high school, OR=1.499, 95%CI: 1.089-2.063; high school, OR=1.905, 95%CI: 1.361-2.667; junior college, OR=4.065, 95%CI: 2.858-5.782; bachelor degree and above, OR=5.087, 95%CI: 3.597-7.194), personal monthly income (3 000-< 5 000 yuan, OR=1.373, 95%CI: 1.035-1.821; 5 000-<7 000 yuan, OR=1.653, 95%CI: 1.230-2.220; ≥7 000 yuan, OR=1.798, 95%CI: 1.322-2.447) and length of service (2-<6 years, OR=1.265, 95%CI: 1.032-1.551; 6-<11 years, OR=1.517, 95%CI: 1.184-1.943; ≥11 years, OR=1.337, 95%CI: 1.040-1.719) as factors affecting OHL level among key populations. Conclusions The OHL level of the key populations in Jinhua City is related to gender, age, education level, personal monthly income, and length of service. It is necessary to strengthen the occupational health education and health promotion of the key populations.

The European Association for Cardio-Thoracic Surgery (EACTS) has recently updated and published the "2024 EACTS guidelines on perioperative medication in adult cardiac surgery". Based on the latest evidence, the guidelines have been updated in multiple aspects including underlying disease management, antithrombotic medication, arrhythmia treatment and other supportive care, etc. This paper aims to summarize and interpret the guidelines, in order to promote clinicians’ understanding and optimize perioperative medical treatment in adult cardiac surgery.

Objective: To investigate the trends in incidence and mortality of esophageal cancer in cancer registration areas of Anhui Province from 2014 to 2020, so as to provide the basis for formulating prevention and control measures. Methods: The incidence and mortality data of esophageal cancer in Anhui Province from 2014 to 2020 was collected through the Cancer Registry in Anhui Province. The crude incidence and crude mortality were calculated. The Chinese population-standardized rate was standardized using the age structure of the standard population from the Fifth National Population Census in 2000. The trends in incidence and mortality of esophageal cancer were analyzed using the average annual percent change (APPC), stratified by genders, urban/rural areas, and ages. Results: In Anhui Province, the rank of esophageal cancer incidence dropped from the third in 2014 to the sixth in 2020. Concurrently, the crude incidence and Chinese population-standardized incidence declined from 28.74/100 000 and 20.74/100 000 to 19.23/100 000 and 10.59/100 000, respectively (AAPC=-5.846%, -9.658%, both P<0.05). The mortality rank remained stable at the fourth in 2014 and 2020, while the crude mortality and Chinese population-standardized mortality decreased from 19.96/100 000 and 14.09/100 000 to 16.00/100 000 and 8.41/100 000, respectively (AAPC=-3.542%, -7.784%, both P<0.05). The Chinese population-standardized incidence (AAPC=-9.682%, -9.188%, -6.175% and -12.575%, all P<0.05) and Chinese population-standardized mortality (AAPC=-7.734%. -7.447%. -5.366% and -10.209%, all P<0.05) showed declining trends in males, females, urban, and rural areas, respectively. From 2014 to 2020 in Anhui Province, the crude incidence and mortality of esophageal cancer generally increased with age. However, significant declining trends were observed in crude incidence (AAPC=-12.779%, -11.701%, -11.955% and -5.751%, all P<0.05) and crude mortality (AAPC=-12.255%, -11.120%, -10.985% and -5.751%, all P<0.05) for the age groups of 40-<50, 50-<60, 60-<70, 70-<80 years. A significant declining trend in crude incidence was also seen in the ≥80 years group (APPC=-6.334%, P<0.05), but the trend in crude mortality was no statistically significant (P>0.05). Conclusion In registration areas of Anhui Province, the incidence and mortality of esophageal cancer exhibited a declining trend from 2014 to 2020, calling for focused attention on the middle-aged and elderly population and enhanced health behaviors such as tobacco and alcohol control.

ObjectiveTo investigate the possible mechanism of Shufeng Jiedu capsules （SFJD） in alleviating influenza A （H1N1） virus pneumonia and focus on its effect on Toll-like receptor （TLR） signaling pathway in respiratory epithelial cells. MethodsA mouse model of viral pneumonia was established via the A/PR/8/34 （PR8） strain of influenza A virus. Mice were randomly divided into a normal group， a PR8 infection （PR8） group， and an SFJD group （8.4 g·kg^-1）， with 10 mice in each group. The day of infection was designated as day 1. The SFJD group was administered intragastrically at a volume of 20 mL·kg^-1 daily， while the normal and PR8 groups were given an equal volume of deionized water. Micro-computed tomography （Micro-CT） was performed on day 5， and the mice were dissected to collect their lungs， after which the lung index was calculated to verify the therapeutic effect of SFJD. Single-cell sequencing was used to analyze the differentially expressed genes in respiratory epithelial cells. Multiplex fluorescence immunohistochemistry was employed to detect the expression of TLR， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） proteins in epithelial cell adhesion molecule （EpCAM）-positive cells， and the proportion of respiratory epithelial cells expressing TLR pathway proteins was calculated. Respiratory epithelial cells were then sorted by flow cytometry， and Western blot was used to detect the expression of TLR， MyD88， TRAF6， Toll-interleukin receptor domain-containing adaptor inducing interferon-β （TRIF）， inhibitor of κB kinase α （IKKα）， and nuclear factor-κB （NF-κB） in the sorted epithelial cells. Enzyme-linked immunosorbent assay （ELISA） was used to measure the levels of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in lung tissue. ResultsAt the transcriptional level， SFJD reversed the expression of TLR signaling pathway genes in respiratory epithelial cells， downregulating multiple TLR signaling pathway-related genes （P<0.01）. At the protein level， SFJD significantly reduced the proportion of respiratory epithelial cells expressing TLR3 （P<0.05）， the expression levels of TLR2， TLR3， TLR4， TRIF， TRAF6， IKKα， and NF-κB in epithelial cells（P<0.05， P<0.01）， as well as the levels of pro-inflammatory cytokines IL-1β and TNF-α in lung tissue （P<0.01）. ConclusionSFJD may alleviate viral pneumonia by suppressing the expression of TLR in respiratory epithelial cells and their subsequent signaling cascades.

In a healthy human, the airway mucus forms a thin, protective liquid layer covering the surface of the respiratory tract. It comprises a complex blend of mucin, multiple antibacterial proteins, metabolic substances, water, and electrolytes. This mucus plays a pivotal role in the lungs' innate immune system by maintaining airway hydration and capturing airborne particles and pathogens. However, heightened mucus secretion in the airway can compromise ciliary clearance, obstruct the respiratory tract, and increase the risk of pathogen colonization and recurrent infections. Consequently, a thorough exploration of the mechanisms driving excessive airway mucus secretion is crucial for establishing a theoretical foundation for the eventual development of targeted drugs designed to reduce mucus production. Across a range of lung diseases, excessive airway mucus secretion manifests with unique characteristics and regulatory mechanisms, all intricately linked to mucin. This article provides a comprehensive overview of the characteristics and regulatory mechanisms associated with excessive airway mucus secretion in several prevalent lung diseases.
Humans ; Mucus/metabolism* ; Mucins/physiology* ; Lung Diseases/metabolism* ; Respiratory Mucosa/metabolism* ; Pulmonary Disease, Chronic Obstructive/physiopathology* ; Asthma/physiopathology* ; Cystic Fibrosis/physiopathology* ; Mucociliary Clearance/physiology*

This study investigated the effects of Rehmanniae Radix Praeparata on striatal neuronal apoptosis in rats with attention deficit hyperactivity disorder(ADHD) based on the B-cell lymphoma-2(Bcl-2)/Bcl-2-associated X protein(Bax)/caspase-3 signaling pathway. Twenty-four 3-week-old male spontaneously hypertensive rats(SHR) were randomly divided into a model group, a methylphenidate group(2 mg·kg~(-1)·d~(-1)), and a Rehmanniae Radix Praeparata group(2.4 mg·kg~(-1)·d~(-1)). Age-matched male Wistar Kyoto(WKY) rats were used as the normal control group, with 8 rats in each group. The rats were administered by gavage for 28 days. Body weight and food intake were recorded for each group. The open field test and elevated plus maze test were used to assess hyperactivity and impulsive behaviors. Nissl staining was used to detect changes in striatal neurons and Nissl bodies. Terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL) fluorescence staining was used to detect striatal cell apoptosis. Western blot was employed to detect the expression levels of Bcl-2, Bax, and caspase-3 proteins in the striatum. The results showed that compared with the model group, Rehmanniae Radix Praeparata significantly reduced the total movement distance, average movement speed, and central area residence time in the open field test, and significantly reduced the ratio of open arm entries, open arm stay time, and head dipping in the elevated plus maze test. Furthermore, it increased the number of Nissl bodies in striatal neurons, significantly downregulated the apoptosis index, significantly increased Bcl-2 protein expression and the Bcl-2/Bax ratio, and reduced Bax and caspase-3 protein expression. In conclusion, Rehmanniae Radix Praeparata can reduce hyperactivity and impulsive behaviors in ADHD rats. Its mechanism may be related to the regulation of the Bcl-2/Bax/caspase-3 signaling pathway in the striatum, enhancing the anti-apoptotic capacity of striatal neurons.
Animals ; Male ; Apoptosis/drug effects* ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Caspase 3/genetics* ; Proto-Oncogene Proteins c-bcl-2/genetics* ; bcl-2-Associated X Protein/genetics* ; Rehmannia/chemistry* ; Attention Deficit Disorder with Hyperactivity/physiopathology* ; Signal Transduction/drug effects* ; Neurons/cytology* ; Rats, Inbred SHR ; Rats, Inbred WKY ; Humans ; Corpus Striatum/cytology* ; Plant Extracts

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans