Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

ObjectiveTo explore the value of a multimodal MRI-based radiomics nomogram for differentiating human epidermal growth factor receptor-2 （HER-2） negative breast cancer molecular subtypes.MethodsA retrospective analysis was conducted on 190 patients with HER-2 negative breast cancer who underwent multimodal MRI examination， and the patients were divided into two molecular subtype groups： a HER-2 low expression group （n=108） and a HER-2 zero expression group （n=82）. The cases were randomly stratified and sampled at a ratio of 7∶3 and divided into a training set of 133 cases and a testing set of 57 cases. The clinical and radiological features of the patients were collected， the radiomics features based on T2-weighted imaging （T2WI）， diffusion-weighted imaging （DWI）， and dynamic contrast-enhanced （DCE）-MRI were extracted， and the clinical-radiological model， unimodal radiomics model， multimodal radiomics model， and combined model were constructed respectively. Then the nomogram combined multimodal radiomics signature （radsocre） with clinical-radiological features was used to construct a visualized predictive model， and the area under the curve （AUC） was used to compare the effectiveness of different models in distinguishing HER-2 low expression and zero expression subtypes.ResultsA significant difference in radscore was demonstrated between the HER-2 low and HER-2 zero expression groups in both the training （P<0.000 1） and testing sets （P<0.01）. The AUC of the multimodal radiomics model in the training set and the testing set were 0.914 and 0.836， respectively， which was superior to any unimodal radiomics model. The nomogram demonstrated great diagnostic efficacy （AUC=0.930 in training set； AUC=0.865 in testing set）.ConclusionA multimodal MRI-based nomogram incorporating radsocre and clinical-radiological features can accurately distinguish the subtypes of HER-2 negative breast cancer.

Background The residues of pharmaceutical and personal care products (PPCPs) in aquatic environments have become an increasingly prominent urban pollution issue, attracting widespread attention. The analysis of PPCPs pollution in water environments holds profound implications in Zhengzhou, a strategically important city in central China. Objective To analyze the pollution characteristics of PPCPs, such as antidepressants and antibiotics, in rivers of Zhengzhou and assess associated ecological risk. Methods Water samples were collected from three rivers of Zhengzhou, and 13 PPCPs (5 antibiotics and 8 antidepressants) were analyzed quantitatively by high performance liquid chromatography-triple quadrupole mass spectrometry (HPLC-MS/MS) after automatic solid phase extraction. Risk quotient (RQ) was applied to assess ecological risk of PPCPs with high concentration. Results The primary antibiotics pollutants were norfloxacin and ofloxacin, both with a detection rate of 100%. Among antidepressants, venlafaxine and citalopram showed the highest detection rates at 92.3% and 88.5%, respectively. The detected antibiotics with the highest average concentrations included ofloxacin and sulfamethoxazole with concentrations of 99.8 ng·L⁻¹and 96.2 ng·L⁻¹, respectively, while antidepressants venlafaxine and citalopram were detected with the highest average concentrations of 15.2 ng·L⁻¹and 1.35 ng·L⁻¹, respectively. The inter-river comparisons revealed statistically significant differences in contaminant loads (P<0.05). The sums of average PPCP concentrations at sampling points in the Jialu River and Suoxu River were 83.4 ng·L⁻¹ and 100.4 ng·L⁻¹, respectively. The Xiaoqing River exhibited higher pollution levels than both the Jialu and Suoxu Rivers, with a total average concentration of 478.4 ng·L⁻¹, where ofloxacin and sulfamethoxazole were identified as the predominant pollutants. The results of ecological risk assessment indicated the RQ contributed by sulfamethoxazole ranged between 0.50−0.95 in the Xiaoqing River, suggesting a controllable risk but requiring prioritized mitigation strategies. The RQ values of norfloxacin were distributed within the range of 0.10-0.30, indicating a moderate ecological risk. The RQ values for ofloxacin and venlafaxine remained below 0.10, indicating a lower risk level. Conclusion PPCPs contamination is positive in the rivers of Zhengzhou, and sulfamethoxazole and ofloxacin are the primary cantaminants. The Xiaoqing River exhibits the highest pollution levels. The initial risk assessment show that sulfamethoxazole and norfloxacin pose potential ecological risks, requiring prioritized contamination management.

Objective:To development a deep learning（DL） model based on conventional MRI for automatic segmentation and differential diagnosis of nasopharyngeal carcinoma（NPC） and nasopharyngeal lymphoma（NPL）. Methods:The retrospective study included 142 patients with NPL and 292 patients with NPC who underwent conventional MRI at Renmin Hospital of Wuhan University from June 2012 to February 2023. MRI from 80 patients were manually segmented to train the segmentation model. The automatically segmented regions of interest（ROIs） formed four datasets: T1 weighted images（T1WI）, T2 weighted images（T2WI）, T1 weighted contrast-enhanced images（T1CE）, and a combination of T1WI and T2WI. The ImageNet-pretrained ResNet101 model was fine-tuned for the classification task. Statistical analysis was conducted using SPSS 22.0. The Dice coefficient loss was used to evaluate performance of segmentation task. Diagnostic performance was assessed using receiver operating characteristic（ROC） curves. Gradient-weighted class activation mapping（Grad-CAM） was imported to visualize the model's function. Results:The DICE score of the segmentation model reached 0.876 in the testing set. The AUC values of classification models in testing set were as follows: T1WI: 0.78（95%CI 0.67-0.81）, T2WI: 0.75（95%CI 0.72-0.86）, T1CE: 0.84（95%CI 0.76-0.87）, and T1WI+T2WI: 0.93（95%CI 0.85-0.94）. The AUC values for the two clinicians were 0.77（95%CI 0.72-0.82） for the junior, and 0.84（95%CI 0.80-0.89） for the senior. Grad-CAM analysis revealed that the central region of the tumor was highly correlated with the model's classification decisions, while the correlation was lower in the peripheral regions. Conclusion:The deep learning model performed well in differentiating NPC from NPL based on conventional MRI. The T1WI+T2WI combination model exhibited the best performance. The model can assist in the early diagnosis of NPC and NPL, facilitating timely and standardized treatment, which may improve patient prognosis.
Humans ; Nasopharyngeal Carcinoma/diagnostic imaging* ; Deep Learning ; Magnetic Resonance Imaging ; Retrospective Studies ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Lymphoma/diagnostic imaging* ; Diagnosis, Differential ; ROC Curve ; Male ; Female ; Middle Aged ; Adult

Methods: From March 2020 to March 2023, 100 inpatients with DS were classified into groups A, B, C, and D based on the CARDS classification system. Preoperative radiological data were analyzed to measure the severity of central canal stenosis, facet joint arthropathy, intervertebral disc herniation, and spinal epidural lipomatosis, osteophyte formation, range of motion (ROM), and computed tomography value of the vertebral bodies. The radiological characteristics and clinical contraindications for OLIF were compared among the groups. Results: Of the 100 patients, 51% had clinical contraindications for OLIF, which included 85%, 25%, 62.5%, and 20% of patients in groups A, B, C, and D, respectively. Compared with group B, group A demonstrated greater severity of central canal stenosis, whereas group C showed a higher degree of facet joint arthropathy. More patients in groups A and C had severe central canal stenosis. Regarding the ROM results, group A had segmental stiffness, whereas group D presented relatively unstable slip segments. Conclusions Patients with different DS subtypes have varied radiological characteristics. Groups B and D are suitable candidates for OLIF. Most patients in group A are unsuitable for OLIF because of bony hyperplasia, severe spinal stenosis, and segmental stiffness.

OBJECTIVE To provide a reference for revising the safety content of traditional Chinese medicine（TCM） instructions. METHODS A systematic analysis was conducted on the relevant announcements on the revision of TCM instruction from 2013 to 2024， including the year of publication， drug name， drug formulation， announcement release time， and the average number of revisions made to three safety contents （contraindication， adverse drug reaction， and precaution）. According to the report data of national adverse drug reaction monitoring from 2013 to 2024， analyze the proportion of TCM in all adverse drug reactions， the composition ratio of adverse drug reaction of different dosage forms of drugs [TCM injection， oral TCM， other （topical） TCM]. RESULTS From 2013 to 2024， the National Medical Products Administration issued a total of 101 notices on the revision of TCM instruction， involving 241 types of TCM. Among them， there were 163 types of oral TCM， 25 types of TCM injection， and 53 types of other （topical） TCM. There were 3， 10 and 0 types of TCM injection， oral TCM， and other （topical） TCM with missing safety content， respectively. The main source of adverse drug reaction data for TCM injections was post- marketing monitoring data （accounting for 48.00%）； the main source of adverse drug reaction data for oral TCM was monitoring data （accounting for 71.17%）； 73.58% of other （topical） TCM did not mention the source of adverse drug reaction data. The report on national adverse drug reaction monitoring showed that the proportion of all adverse drug reactions of TCM had decreased from 17.3% in 2013 to 12.1% in 2024. Among them， the proportion of adverse drug reaction of TCM injection in the three dosage forms of TCM had decreased from 61.3% in 2015 to 24.6% in 2024， while the proportion of adverse drug reaction of oral TCM in the three dosage forms of TCM had increased from 34.7% in 2015 to 64.0% in 2024. CONCLUSIONS The risk management of TCM safety content has achieved results in China， but still faces three major challenges： strongdependence on passive monitoring， insufficient data traceability， and missing key content. It is urgent to improve safety content by dosage form， optimize data sources， and fully utilize real-world evidence to supplement safety content.

Objective To explore the correlation between osteocalcin (OCN) and visceral fat area (VFA) in overweight/obese population. Methods The data of 297 overweight/obese people who underwent health examinations in Health Management Department of Second Affiliated Hospital of Xi'an Jiaotong University from August 2021 to August 2024 were analyzed. According to the VFA value measured by InBody, the subjects were divided into an excessive group (VFA ≥100 cm²) and a normal group (VFA<100 cm2). The baseline data, glucose metabolism indicators, lipid metabolism indicators and OCN were compared between the two groups. Binary logistic regression analysis was used to analyze the independent risk factors affecting visceral fat deposition in overweight/obese people. Results According to the VFA value, there were 193 cases (64.98%) in the excessive group and 104 cases (35.02%) in the normal group. There were no statistical differences in gender, age and comorbidities between the two groups (P>0.05). The BMI, FPG, HbA1c, TC, TG, and LDL-C in the excessive group were higher than those in the normal group, while the HDL-C and OCN were lower than those in the normal group (P<0.05). Binary logistic regression analysis revealed that BMI, FPG, HbA1c, TC, TG and LDL-C were independent risk factors for visceral fat deposition in overweight/obese people, while HDL-C and OCN were protective factors (P<0.05). Conclusion Visceral fat deposition in overweight/obese people is closely related to OCN content, and is affected by abnormal glucolipid metabolism, which provides new ideas for the prevention and treatment of obesity-related diseases.

ObjectiveTo explore the clinical safety of Feilike Mixture （FLK） in the real world. MethodsThe safety of all children who received FLK from 29 institutions in 12 provinces between January 21，2021 and December 25，2021 was evaluated through prospective centralized surveillance and a nested case control study. ResultsA total of 3 035 juveniles were included. There were 29 research centers involved，which are distributed across 12 provinces，including one traditional Chinese medicine （TCM） hospital and 28 general hospitals. The average age among the juveniles was （4.77±3.56） years old，and the average weight was （21.81±12.97） kg. Among them，119 cases （3.92%） of juveniles had a history of allergies. Acute bronchitis was the main diagnosis for juveniles，with 1 656 cases （54.46%）. FLK was first used in 2 016 cases （66.43%），and 142 juvenile patients had special dosages，accounting for 4.68%. Among them，92 adverse drug reactions （ADRs） occurred，including 73 cases of gastrointestinal system disorders，10 cases of metabolic and nutritional disorders，eight cases of skin and subcutaneous tissue diseases，two cases of vascular and lymphatic disorders，and one case of systemic diseases and various reactions at the administration site. The manifestations of ADRs were mainly diarrhea，stool discoloration，and vomiting，and no serious ADRs occurred. The results of multi-factor analysis indicated that special dosages （the use of FLK）［odds ratio （OR） of 2.642， 95% confidence interval （CI） of 1.105-6.323］，combined administration： spleen aminopeptide （OR of 4.978， 95%CI of 1.200-20.655），and reason for combined administration： anti-infection （OR of 1.814， 95%CI of 1.071-3.075） were the risk factors for ADRs caused by FLK. Conclusion92 ADRs occurred among 3 035 juveniles using FLK. The incidence of ADRs caused by FLK was 3.03%，and the severity was mainly mild or moderate. Generally，the prognosis was favorable after symptomatic treatment such as drug withdrawal or dosage reduction，suggesting that FLK has good clinical safety.

Objective:To investigate the overall drug resistance, drug resistance trend and distribution of drug resistance mutation sites in human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) patients with antiviral therapy failure in Yunnan Province.Methods:The demographic data and genotype drug resistance of HIV/AIDS population with antiviral therapy failure in Yunnan Province from January 2021 to December 2023 were collected and analyzed by cross-sectional investigation. Statistical analyses were performed using chi-square test.Results:Among 15 159 HIV/AIDS patients, 12 215 cases tested positive by amplification. The circulating recombinant form (CRF) 08_BC was the predominant genetic subtype, accounting for 54.97%(6 714/12 215), followed by CRF01_AE (16.14%(1 972/12 215)) and CRF07_BC (14.48% (1 769/12 215)). When the viral load was ≥200 to <1 000 copies/mL, the incidence of drug resistance was 21.48%(99/461). When it was ≥1 000 to <10 000 copies/mL, the incidence was 51.29%(2 867/5 590). When it was ≥10 000 to <100 000 copies/mL, the incidence was 69.39% (3 979/5 734). When it was ≥100 000 copies/mL, the incidence was 81.86%(352/430). A total of 7 297 drug resistant cases were detected, with a drug resistance rate of 59.74% (7 297/12 215), thus the estimated drug resistance incidence rate among the antiviral treated population in Yunnan Province was 2.00% (7 297/364 238). From 2021 to 2023, the annual drug resistance rates among patients were 60.71%(2 554/4 207), 60.28%(1 671/2 772), and 58.67% (3 072/5 236), respectively, with no statistically significant difference ( χ2=4.47, P=0.107). Among the population with antiviral therapy failure, the drug resistance rates of non-nucleoside reverse transcriptase inhibitor (NNRTI), nucleoside reverse transcriptase inhibitor (NRTI), and protease inhibitor (PI) were 93.70%(6 837/7 297), 44.10%(3 218/7 297) and 5.15%(376/7 297), respectively. The mutation sites with the highest frequencies among the three classes of drugs including NRTI, NNRTI and PI were M184V/I (46.13%(2 123/4 602)), K103N/S (37.14%(2 648/7 129)), L33F (15.50%(82/529)) and M46I/L (15.50%(82/529)), respectively. Analysis of the degree of drug resistance showed that among NNRTI drugs, nevirapine (49.01%(5 987/12 215)) and efavirenz (48.00%(5 863/12 215)) had the highest drug resistance rates, followed by emtricitabine (23.59%(2 882/12 215)) and lamivudine (23.58%(2 881/12 215)) among NRTI drugs. Conclusions:Among HIV/AIDS patients with antiviral therapy failure in Yunnan Province from 2021 to 2023, CRF08_BC is the main genetic subtype. The drug resistance rate of patients increases with the increase of HIV-1 viral load. There is no significant change in the drug resistance rate from 2021 to 2023. NNRTI has the highest drug resistance rate, followed by NRTI, and PI has the lowest. The main mutation sites are M184V/I for NRTI, K103N/S for NNRTI, and M46I/L and L33F for PI. The drug resistance rates of nevirapine, efavirenz, emtricitabine and lamivudine are relatively high.