IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide and a major cause of chronic kidney disease and kidney failure. IgAN exhibits marked heterogeneity in clinical presentation, histopathology, and pathogenic mechanisms, contributing to variable treatment responses and prognosisamong patients. Precise risk assessment and individualized intervention are therefore of critical importance. This review systematically traces the evolution of IgAN management from traditional risk stratification toward biomarker-driven precision medicine. We first review the clinical utility and limitations of established risk stratification tools, including the KDIGO guidelines, the Oxford MEST-C classification, and the International IgAN Prediction Tool. We then discuss emerging biomarkers closely linked to disease pathogenesis, including galactose-deficient IgA1 (Gd-IgA1), anti-Gd-IgA1 autoantibodies, B cell activating factor (BAFF), a proliferation-inducing ligand (APRIL), and complement components, as well as the targeted therapies they have informed. In addition, urinary biomarkers and multi-omics approaches show promise for dynamic disease monitoring and individualized risk stratification.

Abstract Recently, the Ministry of Education issued Guiding Opinions on Comprehensively Promoting the Construction of Healthy Schools hereinafter referred to as the Guiding Opinions, which systematically established the goal system, key tasks, critical measures, and safeguard mechanisms for the construction of healthy schools in the new era. Against the backdrop, comprehensively promoting the construction of healthy schools has become a core project for implementing the concept of "Health First", carrying out joint prevention and control of multiple diseases, and responding to national action plans. Based on a systematic analysis of the internal logic between healthy school construction and the "education powerhouse strategy", the study deeply expounds on its core mission as a "foundational project for talent cultivation" and a "hub for the integration of five educations". Combining the eight key tasks and three critical measures clarified in the Guiding Opinions, it constructs a multi dimensional, systematic, and operable implementation path from the aspects of concept leadership and practice internalization, data monitoring and closed loop management, team support and environmental optimization, literacy promotion and evaluation innovation, innovation drive and characteristic development,digital empowerment and smart governance. The study provides a forward looking and strategic comprehensive solution for improving the collective health literacy of students and building a comprehensive prevention and control system for common campus diseases in the new era.

To report two cases of psychiatric symptoms associated with zonisamide, an antiepileptic drug, and raise clinical awareness of this potential adverse effect. Two male patients with epilepsy treated with zonisamide were retrospectively analyzed. Case 1 (25 years old) developed acute emotional and behavioral abnormalities (e.g., insomnia, aggression, incoherent speech) after switching from sodium valproate to zonisamide (200 mg/day). Case 2 (48 years old) had long-term zonisamide use (≥5 years) with persistent treatment-resistant psychotic symptoms (e.g., delusions, command hallucinations). Clinical courses, medication adjustments, and symptom responses were documented. In Case 1, psychiatric symptoms resolved after discontinuing zonisamide and switching to sodium valproate, with improved mood stability and reduced impulsivity. In Case 2, despite escalating antipsychotic medications (risperidone, clozapine), psychotic symptoms persisted, likely due to ongoing zonisamide use. Both cases highlighted zonisamide’s potential to exacerbate or induce psychiatric manifestations, possibly via mechanisms involving sodium/calcium channel inhibition and neurotransmitter dysregulation (e.g., dopamine, serotonin). Zonisamide can cause or worsen psychiatric symptoms, particularly in vulnerable individuals. Clinicians should monitor for mental health changes during zonisamide treatment and consider drug discontinuation or substitution with alternative antiepileptics (e.g., sodium valproate) if psychiatric adverse effects emerge. Awareness of this association is crucial to avoid misdiagnosis and optimize epilepsy management.

Objective To investigate the therapeutic effect and underlying mechanism of piceatannol against hepatic ischemia-reperfusion injury (HIRI) in fatty liver. Methods A mouse model of fatty liver combined with HIRI was established, and experimental animals were assigned into four groups: sham operation group, fatty liver HIRI group, fatty liver HIRI + piceatannol group, and fatty liver HIRI + piceatannol + ML385 group (n=5). Serum levels of alanine transaminase (ALT), aspartate transaminase (AST) and lactate dehydrogenase (LDH) were detected in each group. Hepatic tissue injury was evaluated by hematoxylin-eosin staining. Biochemical assays were performed to measure the contents of malondialdehyde (MDA), glutathione (GSH) and superoxide dismutase (SOD). Reactive oxygen species (ROS) were quantified using the DHE fluorescent probe method, while the expression of 4-hydroxynonenal (4-HNE) was determined via immunohistochemical staining. Western blot was adopted to detect the protein expression of glutathione peroxidase 4 (GPX4), acyl-CoA synthetase long-chain family member 4 (ACSL4), heme oxygenase-1 (HO-1) and nuclear factor E2-related factor 2 (Nrf2). Primary mouse hepatocytes were isolated and cultured in vitro. After treatment with palmitic acid, an hypoxia/reoxygenation (H/R) model was established. Cellular experiments were divided into control group, steatosis H/R group, steatosis H/R + piceatannol group, and steatosis H/R + piceatannol + ML385 group. Calcein-AM/PI dual staining was used to observe cell viability, C11 BODIPY staining was used to determin lipid peroxidation levels, and DCFH-DA fluorescent probe was utilized to test intracellular ROS levels. Western blot was used to detect the protein abundances of GPX4, ACSL4, HO-1 and Nrf2, and real-time fluorescence quantitative polymerase chain reaction was applied to quantify their corresponding messenger RNA (mRNA) expression levels. Results Compared with the sham operation group, the levels of ALT, AST and LDH, liver injury score, DHE positive rate, MDA level and 4-HNE level increased, the levels of GSH and SOD decreased, the relative expression level of ACSL4 protein increased, and the relative expression levels of GPX4, Nrf2 and HO-1 proteins decreased in the fatty liver HIRI group; compared with the fatty liver HIRI group, the levels of ALT, AST and LDH, liver injury score, DHE positive rate, MDA level and 4-HNE level decreased, the levels of GSH and SOD increased, the relative expression level of ACSL4 protein decreased, and the relative expression levels of GPX4, Nrf2 and HO-1 proteins increased in the fatty liver HIRI + piceatannol group; compared with the fatty liver HIRI + piceatannol group, the levels of ALT, AST and LDH, liver injury score, DHE positive rate, MDA level and 4-HNE level increased, the levels of GSH and SOD decreased, the relative expression level of ACSL4 protein increased, and the relative expression levels of Nrf2 and HO-1 proteins decreased in the fatty liver HIRI + piceatannol + ML385 group (all P<0.05). Compared with the control group, the mean fluorescence intensity of DCFH-DA and MDA level increased, the levels of GSH and SOD decreased, the proportion of oxidized lipids increased, the protein and mRNA expression levels of ACSL4 increased, and the protein and mRNA expression levels of GPX4, HO-1 and Nrf2 decreased in the steatosis H/R group; compared with the steatosis H/R group, the mean fluorescence intensity of DCFH-DA and MDA level decreased, the levels of GSH and SOD increased, the proportion of oxidized lipids decreased, the relative protein and mRNA expression levels of ACSL4 decreased, and the relative protein and mRNA expression levels of GPX4, HO-1 and Nrf2 increased in the steatosis H/R + piceatannol group; compared with the steatosis H/R + piceatannol group, the mean fluorescence intensity of DCFH-DA and MDA level increased, the levels of GSH and SOD decreased, the proportion of oxidized lipids increased, the relative protein and mRNA expression levels of ACSL4 increased, and the relative protein and mRNA expression levels of GPX4, HO-1 and Nrf2 decreased in the steatosis H/R + piceatannol + ML385 group (all P<0.05). Conclusions Piceatannol relieves HIRI in fatty liver by activating the Nrf2/HO-1 signaling pathway to suppress ferroptosis in hepatocytes.

ObjectiveTo characterize the features of etomidate-related criminal cases in Guangxi after its formal scheduling as a controlled substance in China. MethodsWe collected judicial documents of etomidate-related criminal cases in Guangxi， published on China Judgments Online from October 2023 to July 2025. Demographic， criminological， and forensic toxicological characteristics were extracted. We analyzed the differences in demographic characteristics between the offenders and the baseline of the general population in Guangxi， and examined the associations of age， educational attainment， prior criminal conviction， and employment status with offense types. ResultsA total of 51 adjudicated cases were included， involving 174 individuals. The offenders were predominantly male， young adults， with low educational attainment， prior criminal convictions， and unemployed status. Statistically significant differences were observed between the offenders and the baseline of the general population in Guangxi across four dimensions： gender， age， educational attainment， and employment status （all P values＜0.01）. The primary offense types were the crime of providing shelter for others to use drugs and drug trafficking offenses. The majority of cases involved joint offenses committed by multiple perpetrators， with e-cigarettes and related products as the main drug delivery vehicles. Forensic toxicological testing confirmed concurrent polydrug use of etomidate and ketamine among the involved individuals. Prior criminal conviction status was statistically associated with the choice of offense type （Fisher's P = 0.006）. Offenders with prior convictions predominantly committed single-type offenses， while those without prior convictions accounted for a significantly higher proportion of multiple concurrent offenses relative to the former group. ConclusionAfter the scheduling of etomidate， the offender population in etomidate-related criminal cases in Guangxi is characterized by low educational attainment， low employment rate， and high prevalence of prior criminal convictions. The offenses exhibited covert modus operandi， group-based offending patterns， and a growing trend of polydrug use. We recommend strengthening the monitoring of high-risk populations and upgrading the technical system of forensic toxicological testing to address the challenges posed by emerging illicit drugs.

ObjectiveThis study aimed to construct a neural network model integrating readily available clinical data and two-dimensional （2D） conventional ultrasound images to evaluate the severity of steatotic liver disease （SLD）. MethodsClinical data and ultrasound images were retrospectively collected from 649 patients who underwent ultrasound attenuation imaging （ATI）. Using ATI as the reference standard， patients were divided into four groups： normal （S0）， mild （S1）， moderate （S2）， and severe （S3） SLD. Data were randomly divided into training and validation sets at an 8∶2 ratio. A contrastive language-image pre-training （CLIP） model was utilized to extract features from both clinical and imaging data， which were then used to train random forest （RF） and multilayer perceptron （MLP） models. The diagnostic performance of these multimodal models was compared their single-modal counterparts in the validation set. ResultsThe MLP model outperformed the RF model （AUC［95%CI］： S0 = 0.96 ［0.93-0.99］， S1 = 0.99 ［0.96-1.00］， S2 = 0.75 ［0.64-0.82］， S3 = 0.88 ［0.81-0.93］）. Furthermore， the multimodal fusion model demonstrated significantly superior performance compared to single-modal models （clinical data only： AUC［95%CI］ of 0.89 ［0.81-0.95］， 0.69 ［0.52-0.79］， 0.64 ［0.43-0.67］ and 0.80 ［0.73-0.90］ for S0-S3， respectively； image data only： AUC［95%CI］ of 0.91 ［0.86-0.96］， 0.89 ［0.67-0.89］， 0.69 ［0.58-0.78］ and 0.86 ［0.82-0.94］）. Metrics including precision， recall， F1-score， F2-score， confusion matrices， and loss function learning curves further confirmed that multimodal data fusion significantly improved the predictive capability. ConclusionThe proposed CLIP-based MLP multimodal model can effectively and automatically grade SLD severity. This demonstrates the significant advantage of integrating clinical and ultrasound data， providing an accurate and reliable adjunctive tool for the clinical management of chronic SLD.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

Objective To explore the feasibility and clinical experience of the middle hepatic vein splitting-reconstruction technique in split liver transplantation from low-age donor livers. Methods A retrospective analysis was conducted on the cases of two low-age donor livers that underwent middle hepatic vein splitting-reconstruction, which were transplanted into four child recipients at the Liver Transplantation Center of the Third Affiliated Hospital of Sun Yat-sen University from January 2017 to July 2023. The surgical and postoperative conditions were summarized and analyzed. Results Donor 1 was a 6-year-old and 4-month-old girl with a body weight of 21 kg, and the obtained donor liver weighed 496 g. After splitting, the left and right liver weights were 201 g and 280 g, and transplanted into a 9-month-old boy weighing 6.5 kg and a 9-month-old boy weighing 7.5 kg, respectively. The graft to recipient weight ratio (GRWR) was 3.09% and 3.73%, respectively. Donor 2 was a 5-year-old and 8-month-old boy with a body weight of 19 kg, and the donor liver weighed 673 g. After splitting, the left and right liver weights were 230 g and 400 g, and transplanted into a 13-month-old girl weighing 9.5 kg and a 15-month-old boy weighing 12 kg. The GRWR was 2.42% and 3.33%, respectively. Both donor livers were split ex vivo, with the middle hepatic vein being completely split in the middle and reconstructed using allogeneic iliac vein and iliac artery vascular patches. According to GRWR, none of the 4 transplant livers were reduced in volume. Among the 4 recipients, one died due to postoperative portal vein thrombosis and non-function of the transplant liver, while the other three cases recovered smoothly without early or late complications. Regular follow-up was conducted until July 31, 2023, and liver function recovered well. Conclusions Under the premise of detailed assessment of the donor liver and meticulous intraoperative operation, as well as matching with suitable child recipients, low-age donor livers may be selected for splitting. The complete splitting and reconstruction of the middle hepatic vein in the middle may effectively ensure the adequate venous return of the left and right liver and provide sufficient functional liver volume.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.