Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.

Objective With the vigorous development of nuclear reactors and controlled thermonuclear fusion research, the release of tritium, the predominant radionuclide in nuclear wastewater, into the environment has attracted widespread attention. Its impact on human health has also become a hot topic of research. This article presents a visual analysis of the literature on the biological effects of tritium ingestion by organisms over the past 70 years, with the aim of elucidating the biological effects of tritiated water and identifying current research hotspots and emerging trends. Methods We retrieved articles on the biological effects of tritium radiation published in the China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) over the past 70 years. CiteSpace software was used to generate visual maps, including annual number of publications, countries of publication, keyword clustering, keyword timeline, keyword burst, and literature co-citation. Results A total of 437 articles were included. The cumulative number of annual publications exhibited a linear growth trend. Research hotspots focused on low-radioactivity tritiated water, dose rate effect, DNA double-strand break damage, genetic effect, and cancer mortality. Emerging research frontiers included human lymphocyte immune injury, oxidase activity, comparison of marine organisms in different living environments, comparison of tritium and ionizing radiation effects, changes in mitochondrial ATP content, and the hormetic effect of low-dose radiation. Conclusion In cellular and animal models, high doses of tritium exposure induce negative biological effects. However, whether low doses of tritium esposure elicit beneficial biological effects remains to be further explored. It is suggested that domestic and foreign teams enhance academic collaboration and discussions, focusing on current hotspots and frontiers to deepen our understanding of the biological effects induced by tritium radiation. This will provide scientific solutions for disease treatment and establish a scientific basis for the safe utilization of nuclear energy and the formulation of safety standards for nuclear wastewater discharge.

This article adopts Professor CHEN Chaozu′s " sanjiao composed by membrane-striae" theory as its foundation to explore the relationship between irritable bowel syndrome and functional/structural abnormalities of the membrane-striae. Sanjiao encompasses both the tangible membrane and the intangible striae. These striae permeate the entire body，and their pathological changes comprehensively reflect qi，body fluids，and fasciae. Based on the physiological function of the membrane-striae in regulating qi and fluids，the pathogenesis of irritable bowel syndrome is characterized by a disharmony of membrane-striae and an imbalance of the qi-fluid interactions. In the early stage，external pathogens，emotional factors，or dietary stimuli often cause membrane-striae constriction and disordered qi-fluid circulation. In the middle stage，stagnant fluids gradually transform into phlegm retention，leading to membrane-striae obstruction. In the late stage，deficiency of vital qi becomes predominant，manifesting as laxity of membrane-striae with impaired control or weakened conduction. The treatment of irritable bowel syndrome should adopt " unblocking" as the guiding principle. In the early stage，therapy should focus on eliminating pathogenic factors and soothing membrane-striae to promptly restore qi-fluid circulation，thereby attaining unblocking through spasm relief. In the middle stage，treatment should focus on resolving tangible obstructions in membrane-striae，achieving unblocking via dredging. In the late stage，the emphasis should shift to reinforcing healthy qi，particularly by strengthening spleen-kidney yang qi，and achieving unblocking through supplementation. Concurrently，throughout the entire treatment process，the regulation of mental state and easing of emotional tension should be integrated to alleviate patient′s anxiety，achieving the goal of holistic treatment of both body and mind.

Objective: To investigate the prevalence of undernutrition and its associated factors among left behind and non left behind primary and secondary school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) areas of central and western China, so as to provide evidence for improving the nutritional status of children and adolescents. Methods: A survey was conducted among 123 782 students selected by random cluster sampling method in grades 3-9 from NIPRCES in central (Hebei, Shanxi, Heilongjiang, Jilin, Anhui, Jiangxi, Henan, Hunan, Hubei, and Hainan) and western (Gansu, Guangxi, Inner Mongolia, Ningxia, Tibet, Shaanxi, Guizhou, Sichuan, Xinjiang, the Xinjiang Production and Construction Corps, Yunnan, Qinghai, and Chongqing) China in 2023. Anthropometric measurements and questionnaires were used to assess nutritional and dietary status. The prevalence of undernutrition was compared between left behind and non left behind students by Chi square test, and associated factors were analyzed by three level Logistic mixed effects model. Results: The prevalence of undernutrition was 8.5% (4 326) in left behind students and 8.1% (5 905) in non left behind students. Three level Logistic mixed effect model analysis showed that whether left behind or non left behind, the undernutrition rates of primary and secondary students in western regions were higher than those of students in central regions [ OR (95% CI )=1.72(1.57-1.87),2.25(2.07- 2.43 )]; the undernutrition risk was lower for those whose fathers had a cultural level of high school or above [ OR (95% CI )=0.69(0.62-0.77),0.90(0.82-0.98)] or junior high school [ OR (95% CI )=0.72(0.66-0.79),0.92(0.85-0.99)] compared to those with primary school or below; picky eating or selective eating increased the risk of undernutrition [ OR (95% CI )=2.36(2.07-2.68),2.28(2.04-2.55)], and primary and secondary school students without nutritional content in health education classes had higher rates of undernutrition [ OR (95% CI )=1.12(1.03-1.23),1.09(1.01-1.17)](all P <0.05). Conclusion The prevalence of undernutrition is slightly higher in left behind primary and secondary students than in non left behind primary and secondary students in central and western NIPRCES areas, with variations across different characteristics.

Objective: To analyze the trends of the frequency of meat, egg, and milk consumption among rural primary and junior high school students in central and western China covered by the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) from 2015 to 2023, so as to provide basis for formulating more targeted nutrition intervention policies and health education strategies. Methods: Using data from six rounds of monitoring and evaluation (2015-2021 and 2023), the study included 323 870 students from grade 3 to 9 across 22 provinces (autonomous regions and municipalities) in central and western China. The consumption frequencies of meat, egg, and milk over the past week were collected via questionnaires. The Cochran-Armitage trend test was used to analyze temporal trends, and multivariable Logistic regression models were employed to analyze factors associated with the frequency of meat, egg and milk consumption and to test for interaction effects between the year and gender, region, and grade level. Results: From 2015 to 2023, the proportion of students consuming meat, egg, and milk ≥1 time/day increased from 23.20 %, 10.71%, and 0.74% to 35.53%, 22.09%, and 26.63%, respectively. Trend tests indicated a significant upward trend for the daily intake of all three food categories for meat, egg and milk over the years ( Z =67.18, 64.90, 93.14, all P <0.01). Multivariable Logistic regression analysis showed that the daily meat intake was lower in the central region than in the western region ( OR=0.77, 95%CI =0.76-0.78), whereas the daily intake of eggs ( OR=1.19, 95%CI =1.17-1.22) and milk ( OR= 1.27 , 95%CI =1.24-1.29) was higher in the central region (all P <0.05). Compared with grade 3-4 students, junior high school students had lower daily intake of meat, eggs, and milk≥1 time/day ( OR =0.95, 0.77, 0.77, all P <0.05), with a declining trend as grade increased. Girls also had lower daily intake of meat, eggs, and milk ≥1 time/day than boys ( OR =0.95，0.93，0.91, all P < 0.05). Significant interactions were observed between year and region, as well as between year and grade (all P <0.05). Conclusion From 2015 to 2023, the NIPRCES improved the intake level of among rural students, but the situation of relatively insufficient intake of egg and milk among females, junior high school students and those in the western region still exists.

Lung cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide, and its treatment continues to face major challenges such as therapeutic resistance and tumor recurrence. Pyroptosis, a newly characterized form of programmed cell death, induces tumor cell death through gasdermin-mediated membrane pore formation and is accompanied by the release of inflammatory mediators, thereby playing complex roles in lung cancer initiation, progression, and modulation of the tumor microenvironment. Active components and herbal formulas derived from traditional Chinese medicine can modulate pyroptosis-related signaling pathways through multi-target mechanisms, showing potential advantages in inducing lung cancer cell death, inhibiting proliferation and migration, and reversing chemoresistance. This review systematically summarizes relevant studies from domestic and international sources, focusing on the molecular mechanisms of pyroptosis, its roles in lung cancer development and tumor microenvironment remodeling, and the current research progress on traditional Chinese medicine-based interventions targeting pyroptosis, with the aim of providing references for the prevention and treatment of lung cancer using traditional Chinese medicine.

Objective To investigate the impact of COVID-19 infection on the early clinical outcomes of patients undergoing valve replacement. Methods Perioperative data of patients who underwent single valve replacement at the Second Affiliated Hospital of Chinese People's Liberation Army Medical University from January to February 2023 were consecutively collected. Based on COVID-19 infection status, patients were divided into a COVID-19 group and a non-COVID-19 group. The perioperative data were compared between the two groups. Results A total of 136 patients were included, comprising 53 males and 83 females, with a mean age of (53.4±10.2) years. There were 32 patients receiving aortic valve replacements, 102 mitral valve replacements, and 2 tricuspid valve replacements. The COVID-19 group comprised 70 patients, and the non-COVID-19 group included 66 patients. No statistical difference was observed in the incidence of postoperative complications between the two groups [9.09% (6/66) vs. 11.43% (8/70), P=0.654]. However, the COVID-19 group had longer postoperative mechanical ventilation duration [1 201.00 (1 003.75, 1 347.75) min vs. 913.50 (465.50, 1 251.00) min, P=0.001] and ICU stay [3 (2, 3) days vs. 2 (2, 3) days, P<0.001] compared to the non-COVID-19 group. Additionally, troponin I [4.76 (2.55, 7.93) ng/mL vs. 2.66 (1.19, 5.65) ng/mL, P=0.001] and brain natriuretic peptide [608.50 (249.75, 1 150.00) pg/mL vs. 192.00 (100.93, 314.75) pg/mL, P<0.001] levels were significantly higher in the COVID-19 group. Conclusion For patients with single valve disease undergoing elective surgery, short-term outcomes after recovery from COVID-19 infection are favorable, with no significant increase in in-hospital mortality or postoperative complication rates.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective: To investigate the association between expression levels of potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene and gout, so as to provide the basis for diagnosis, prevention and treatment of gout. Methods: A total of 179 patients diagnosed with gout at the outpatient department of Guangdong Second Provincial General Hospital were enrolled in the case group, while 179 healthy individuals matched by age (within 5 years) were selected as the control group. Demographic information, lifestyle, dietary intake and biochemical blood indicators were collected through questionnaires and laboratory tests. The relative expression levels of KCNQ1 gene mRNA were quantified using real-time fluorescence quantitative PCR. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic performance of KCNQ1 gene mRNA levels in distinguishing gout. The association between the relative expression level of KCNQ1 gene mRNA and gout, the interaction effects of the relative expression levels of KCNQ1 gene mRNA with dietary intake and biochemical blood indicators on gout were analyzed using a multivariate conditional logistic regression model. Results: There were 112 males (62.57%) and 67 females (37.43%) in the case group, with a mean age of (41.32±10.12) years. There were 98 males (54.75%) and 81 females (45.25%) in the control group, with a mean age of (40.24±7.62) years. The mRNA expression levels of the KCNQ1 gene were higher in the case group compared to the control group (P<0.05). The area under the ROC curve was 0.897 (95%CI: 0.865-0.928). Multivariate conditional logistic regression analysis revealed that KCNQ1 gene mRNA expression levels were positively associated with gout risk (OR=1.430, 95%CI: 1.171-1.747). Significant interactions were observed between KCNQ1 mRNA expression and seafood intake (OR=2.107, 95%CI: 1.175-3.779), KCNQ1 gene mRNA expression and uric acid levels (OR=2.373, 95%CI: 1.366-4.119), as well as between uric acid levels and seafood intake (OR=2.321, 95%CI: 1.159-4.678). Conclusion The expression levels of the KCNQ1 gene may increase the risk of gout and further increase the risk through interaction with seafood intake and uric acid levels.