Objective: To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas. Methods: In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors. Results: The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ). Conclusion The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.

OBJECTIVE To evaluate the clinical value of anlotinib in third-line treatment for patients with advanced non-small cell lung cancer （NSCLC） through real-world data. METHODS Clinical data of patients with advanced NSCLC who received treatment at the First Affiliated Hospital of Anhui University of Chinese Medicine from February 2021 to December 2024 were retrospectively collected. They were divided into anlotinib group （27 cases， receiving anlotinib therapy） and immunotherapy group （22 cases， receiving immunotherapy agents alone or in combination with chemotherapy drugs） according to treatment regimens. The progression-free survival （PFS） and overall survival （OS） of patients were compared between the two groups， and the occurrence of adverse drug reactions during the treatment period was recorded. Using a partitioned survival model， an economic evaluation of the two treatment regimens was conducted with a cost-utility analysis approach from the perspective of the healthcare system. RESULTS The median PFS and OS of patients in the anlotinib group were 5.93 months and 11.27 months， respectively； the median PFS and OS of patients in the immunotherapy group were 5.33 months and 9.77 months， respectively； the difference was not statistically significant （P＞0.05）. There was no statistical difference in the total incidence of adverse drug reactions and grade 3-4 serious adverse drug reactions between the two groups （P＞0.05）. Compared with the immunotherapy group， the incremental cost-effectiveness ratio of the anlotinib group was 1 806 724.60 yuan/quality-adjusted life year （QALY）， which was significantly higher than three times China’s per capita gross domestic product in 2024 （287 247 yuan/QALY）. CONCLUSIONS For third-line treatment of advanced NSCLC patients， the efficacy of anlotinib is no worse than that of immunotherapy alone or in combination with chemotherapy drugs， and the safety of the two groups is comparable. However， anlotinib is not cost-effective.

Objective: To analyze the features of unhealthy lifestyle patterns among primary and secondary school students in the nutrition improvement program for rural compulsory education students (NIPRCES) areas in China in 2021 and 2023, so as to provide data support for lifestyle promotion and healthy development among primary and secondary school students. Methods: Adopting a cluster random sampling method, data on primary and secondary students aged 7-15 years from nutrition and health surveillance of China NIPRCES in 2021 and 2023 were collected. The prevalence of unhealthy lifestyles among primary and secondary students such as physical inactivity, outdoor inactivity, excessive screen time, and sleep deprivation by gender, school section, urban/rural, and region were analyzed. The reporting rates of the above indicators among primary and secondary students were compared by Chi-square test. Results: In 2021 and 2023, the rates of moderate to vigorous physical inactivity among primary and secondary school students were 79.2% and 80.4%, the rates of outdoor inactivity were 42.8% and 49.3%, the rates of excessive video time were 2.6% and 2.9%, the rates of sleep deprivation were 32.9% and 22.6%, and the differences were statistically significant( χ 2=51.86,1 071.48,18.36,3 296.99, P <0.05). In 2023, the rate of outdoor inactivity for primary and secondary students increased by 6.5 percentage points compared with 2021, and the rate of sleep deprivation decreased by 10.3 percentage points compared with that in 2021. In 2021 and 2023, the reporting rates of moderate to vigorous physical inactivity, outdoor inactivity, and sleep deprivation among girls and junior high school students were higher than those among boys ( χ 2=174.41,180.11; 175.75, 85.46 ;92.22,151.35) and elementary school students ( χ 2=136.64,5.75; 40.55,4.71;162.80,3 291.61); the reporting rates of moderate to vigorous physical inactivity( χ 2=194.43,118.60) and sleep deprivation ( χ 2=969.66,983.72) among urban students were higher than those among rural students; the reporting rates of excessive video time for boys and junior high school students were higher than those for girls ( χ 2=103.62,84.85) and elementary school students ( χ 2=810.09,626.51)( P <0.05). From a regional distribution perspective, the reporting rates of moderato to vigorous physical inactivity, outdoor inactivity, and excessive video time among primary and seconday school students in the central and western regions were lower than those in the eastern region ( χ 2= 663.44,302.78; 356.97,82.10;50.89,81.83) ( P <0.05). Conclusions Unhealthy lifestyles remain prevalent among primary and secondary students in NIPRCES areas of China. These findings underscore the need to strengthen policy implementation for promoting healthy lifestyles among primary and secondary school students.

Objective: To explore the relationship between beverage dependence and sleep quality among college students, providing empirical evidence for improving their sleep quality. Methods: From December 2024 to January 2025, a convenience sampling method was used to conduct a questionnaire survey among 3 974 college students from four universities in Anhui Province. The Beverage Addiction Scale for College Students (BASCS) was used to assess beverage dependence, and the Self rating Scale of Sleep(SRSS) was used to evaluate sleep quality. A multivariate Logistic regression model was employed to analyze the relationship between beverage dependence and sleep quality, and a restricted cubic spline model was used to examine the dose response relationship between the two. Results: The positive rate of beverage dependence symptoms among college students was 7.6%, with positive rates of 9.6%, 13.8%, and 7.4% for the withdrawal symptoms, health effects, and dependence symptoms dimensions, respectively. The detection rate of sleep disorders was 23.6%. Multivariate Logistic regression analysis showed that after adjusting for covariates such as grade, gender, and body mass index, compared with the no beverage dependence group, students with positive beverage dependence symptoms had a higher risk of sleep disorders( OR =3.71, 95% CI =2.87-4.80, P <0.01). The OR (95% CI ) for sleep disorders among students with positive symptoms in the withdrawal symptoms, health effects, and dependence symptoms dimensions were 2.80(2.22-3.53), 2.38(1.95-2.91), and 2.45(1.89-3.18)(all P <0.01). Further analysis using a restricted cubic spline model revealed that the overall beverage dependence score and its three dimensional scores were approximately linearly related to the risk of sleep disorders among college students (all nonlinear P >0.05). Conclusions Beverage dependence is associated with sleep quality among college students. Schools should take multiple approaches, such as health education on beverage awareness, to improve students sleep quality.

This case report presents a 16-year-old male patient with deficiency of adenosine deaminase 2(DADA2). The patient had a history of Raynaud′s phenomenon with digital ulcers since childhood. As the disease progressed, the patient developed retinal vasculitis, intracranial hemorrhage, skin necrosis, severe malnutrition, refractory hypertension, and gastrointestinal bleeding. Genetic testing revealed compound heterozygous mutations in the ADA2 gene (paternal c.1072G > A pathogenic mutation + maternal c.1065C > A variant of unknown clinical significance). ADA2 enzyme activity was significantly reduced (0.1 U/L). A multidisciplinary treatment team developed an individualized plan to address key issues, including nutritional support, blood pressure control, rehabilitation, pain management, and balancing anticoagulation/bleeding risks. After systematic intervention, the patient′s condition showed partial improvement. This case reveals clinical challenges such as anticoagulation decisions and nutritional support of DADA2. It also emphasizes the importance of early molecular diagnosis, tumor necrosis factor-α inhibitor targeted therapy, and multidisciplinary collaboration in management, underlining the core value of precision medicine in rare disease management.

The NOD-like receptor protein 3 (NLRP3) inflammasome is essential in innate immune-mediated inflammation, with its overactivation implicated in various autoinflammatory, metabolic, and neurodegenerative diseases. Pharmacological inhibition of NLRP3 offers a promising treatment strategy for inflammatory conditions, although no medications targeting the NLRP3 inflammasome are currently available. This study demonstrates that clioquinol (CQ), a clinical drug with chelating properties, effectively inhibits NLRP3 activation, resulting in reduced cytokine secretion and cell pyroptosis in both human and mouse macrophages, with a half maximal inhibitory concentration (IC₅₀) of 0.478 μM. Additionally, CQ mitigates experimental acute peritonitis, gouty arthritis, sepsis, and colitis by lowering serum levels of interleukin-1β (IL-1β), IL-6, and tumor necrosis factor-α (TNF-α). Mechanistically, CQ covalently binds to Arginine 335 (R335) in the NACHT domain, inhibiting NLRP3 inflammasome assembly and blocking the interaction between NLRP3 and its component protein. Collectively, this study identifies CQ as an effective natural NLRP3 inhibitor and a potential therapeutic agent for NLRP3-driven diseases.

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

Idiopathic gingival fibromatosis is a rare, benign condition of unknown etiology characterized by extensive gingival overgrowth. This case reports a severe skeletal Class Ⅱ adult female patient with idiopathic gingival fibromatosis. The patient underwent multidisciplinary treatment involving periodontics, orthodontics, and orthognathic surgery, resulting in remarkable crown height elongation, substantial improvements in occlusal function and aesthetics, and stable long-term follow-up outcomes. This case provides a reference for future clinical practice.
Humans ; Female ; Malocclusion, Angle Class II/complications* ; Fibromatosis, Gingival/complications* ; Adult ; Orthodontics, Corrective ; Orthognathic Surgical Procedures

In recent years,the international drug control situation has become increasingly serious.According to the statistical data of the year 2021 from UNODC,in the past decade,the trafficking volume of traditional drug(such as methamphetamine,cannabis and cocaine)has continued to rise,new psychoactive substances(NPS)have emerged one after another,the drugs as well as their precursors and metabolites have become a new group of pollutants.They widely exist in environmental media such as water,air,sludge and soil,due to the manufacture and abuse of drugs,which endangers human and animal safety.Drug detection data from environmental samples can reflect the local drug use situation objectively,real-time,accurately and effectively,which is helpful to grasp the spatial distribution and time changes,monitor the development trends of drug abuse,assess the trend of drug abuse reasonably,and assist in combating related illegal and criminal activities through comprehensive data analysis.At present,sewage monitoring has become an important means of drug monitoring in countries around the world.Sewage testing can assess drug consumption in a place reasonably,and sewage network traceability technology can reduce the scope of regional investigation of drug manufacturing dens effectively,so as to combat accurately.Drug detection in the atmosphere,sludge and soil has been carried out in some foreign countries,but it has not been used as a long-term monitoring means.Long-term monitoring of drugs from the environment in a variety of ways not only helps to effectively update the drug situation in the region,but also to better understand local trends in drug use and identify new drugs of abuse.It will provide data support for more accurate monitoring and combating drug crimes in the future.This paper reviews the methods for detecting drugs and other related compounds in different environmental matrices including sewage,atmosphere and sludge in China and other countries,including the study on the sources and forms of related compounds in different environments,the preparation of different matrix samples and the quantitative analysis of drugs from environment,as well as the existing problems and shortcomings of various detection methods.Finally,the drug detection technology and comprehensive monitoring system in the environment are prospected.

Objective To explore the predictive value of slow apparent diffusion coefficient(ADCslow),fast apparent diffusion coefficient(ADCfast)and perfusion fraction(f)value of intravoxel incoherent motion in body diffusion-weighted imaging(IVIM-DWI)sequence in early lumbar disc degeneration in young people.Methods The IVIM-DWI technique was used as quantitative magnetic resonance imaging for 120 patients(596 lumbar intervertebral discs)with lower back pain included in Wenzhou People's Hospital.The ADCslow,ADCfast and f values of all lumbar intervertebral discs were measured,and then they were divided into 3 groups according to the Pfirrmann grading standard.SPSS 20.0 statistical software was used to analyze the data.Results The ADCfast value has statistical significance in distinguishing the lumbar intervertebral discs of each group:The area under the curve(AUC)of the normal group vs.the early degenerative group was 0.766,with a sensitivity of 64.2%and a specificity of 78.5%;The AUC of the normal group vs.the mid to late stage degenerative group was 0.822,with a sensitivity of 67.9%and a specificity of 91.3%;The AUC of the early degeneration group vs.the middle and late stage degeneration group was 0.797,with a sensitivity of 62.1%and a specificity of 92.1%.The ADCslow value has statistical significance in distinguishing the lumbar intervertebral discs of each group:AUC=0.707 in the normal group vs.the early degenerative group,with a sensitivity of 83.6%and a specificity of 61.0%;The AUC of the normal group vs.the mid to late stage degenerative group was 0.701,with a sensitivity of 84.5%and a specificity of 58.6%;The AUC of the early degeneration group vs.the middle and late stage degeneration group was 0.668,with a sensitivity of 86.6%and a specificity of 51.0%.The f value cannot distinguish between different groups of lumbar intervertebral discs.Conclusion ADCslow and ADCfast of IVIM-DWI sequence have certain accuracy and specificity in distinguishing the early degeneration of lumbar intervertebral disc in young people,which provides a reliable basis for early clinical treatment.