Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Objective:To compare the outcomes of multiple scales, primarily the speech, spatial, and other qualities of hearing scale for parents（SSQ-P）, in children with ipsilateral vs. Contralateral cochleareimplantat ion（CRI）. Methods: A total of 69 children who received cochlear implantation surgery from April 1999 to June 2024 were included. Patients were divided into two groups based on whether the implantation was on the same side. General information such as gender, age, age at initial implantation and reimplantation was collected. The primary caregivers of the children were followed up by telephone using the categories of auditory performance（CAP）, speech intelligibility rating（SIR）, and SSQ-P questionnaires. Statistical methods including stepwise regression, linear regression, and permutation tests were employed to investigate if there were any statistically significant differences in the scores of CAP, SIR, SSQ-P total, SSQ-P speech perception, SSQ-P spatial hearing, and SSQ-P auditory quality dimensions between the ipsilateral and contralateral reimplantation groups. Results:Of the 69 children included, 62 were in the ipsilateral reimplantation group with a mean age of 11.1 years, and 7 were in the contralateral reimplantation group with a mean age of 11.7 years. Statistical analysis showed that patients in the contralateral reimplantation group had significantly lower SSQ-P total scores （P<0.05） and spatial hearing dimension scores （P<0.05） than those in the ipsilateral reimplantation group after controlling for the corresponding confounders. Conclusion:The effect of ipsilateral reimplantation of cochlear implants is superior to that of contralateral reimplantation in terms of overall auditory function and spatial hearing in daily life for children, but the mechanisms require further investigation.
Humans ; Cochlear Implantation ; Child ; Parents ; Speech Perception ; Male ; Cochlear Implants ; Female ; Hearing ; Surveys and Questionnaires ; Speech ; Child, Preschool

The long-term presence of non-steroidal anti-inflammatory drugs (NSAIDs) in the environmental water samples not only affects the life safety of aquatic organisms and disturbs the ecoenvironment, but also poses a serious threat to human health. In this study, amino-functionalized Fe3O4 nanoparticles (Fe3O4-NH2) were firstly prepared by solvothermal method. Subsequently, polyethyleneimine (PEI) with a branched chain structure was successfully grafted onto Fe3O4 nanoparticles by Schiff base reaction in aqueous solution at room temperature using glutaraldehyde as a cross-linking agent, and a recyclable PEI-grafted magnetic nano-sorbent (Fe3O4@PEI) was synthesized and applied for the detection of NSAIDs in the environmental water samples. The compositional properties of Fe3O4@PEI were investigated by different characterization methods and the parameters affecting the extraction of NSAIDs were optimized. Due to high adsorption of Fe3O4@PEI for NSAIDs, the quantitative analysis of four NSAIDs in the environmental water samples, ketoprofen, naproxen, diclofenac and tolfenamic acid, was performed in combination with high-performance liquid chromatography. A good linear relationship between the chromatographic peak area and concentration was observed in the range of 1−500 µg/mL. The recoveries of the samples at three different spiked levels ranged from 85.6% to 107.8%; the intra-day precision was less than 7.8% (n=6); and the inter-day precision was less than 9.5% (n=3). The method is simple, rapid, accurate and reliable, and can be used for the analysis of NSAIDs in the environmental water samples．

Diabetic peripheral neuropathy is a common diabetic complication.Presently,our understanding of its pathogenesis is incomplete,and there are no effective treatment options.In-depth research requires the use of animal experiments.The criteria for modeling success and the evaluation method for peripheral nerve function recovery are critical for carrying out animal experiments into type 2 diabetic peripheral neuropathy.However,but there has been a lack of systematic interrogation and analysis of the evaluation method used with type 2 diabetic peripheral neuropathy models.Therefore,the author reviewed the recent data,summarized and analyzed the evaluation method used for animal models of type 2 diabetic peripheral neuropathy of small and large nerve fibers,and proposed future directions for development,providing a reference for related research.

Objective To investigate the impact of exosomal miRNAs derived from endoplasmic reticulum-stressed(ERS)head and neck squamous cell carcinoma(HNSCC)cells on macrophages.Methods This study was reviewed and approved by the Ethics Committee.The expression levels of ERS-associated proteins,including protein kinase R-like endoplasmic reticulum kinase(PERK)and glucose-regulated protein 78(GRP78),in HNSCC tissues and para-tumor tissues were detected by Western blot(WB)and quantitative real-time PCR(RT-qPCR).HN4 human laryngeal squamous cell carcinoma cells were treated with 500 U/mL interferon-γ(IFN-γ)for 48 h to induce ER stress,and exo-somes secreted by ER-stressed HN4 cells were collected and identified.The types of miRNAs in exosomes were identi-fied through bioinformatics analysis,and the target genes of miRNAs were predicted.Macrophages were transfected with miRNA,co cultured with collected exosomes,and the expression of PTEN in macrophages was knocked down.The downstream signaling pathway regulated by exosomal miRNAs was studied by WB and RT-qPCR.Results Compared with that in para-tumor tissues,the expression level of ER stress-associated proteins in HNSCC tissues was increased(P＜0.05).RNA-seq analysis revealed that miR-26a-5p was highly upregulated in ER-stressed HN4 cell-derived exo-somes(P＜0.05).PTEN is the target gene for miR-26a-5p.miR-26a-5p increased the expression level of PD-L1 in mac-rophages and downregulated the expression of PTEN(P＜0.05).Macrophages co cultured with ERS extracellular vesi-cles showed an increase in miR-26a-5p and PD-L1 expression,a decrease in PTEN expression,and an increase in p-AKT expression(P＜0.05).Knock down the expression of PTEN in macrophages and increase the expression of PD-L1(P＜0.01).Conclusion ERS HNSCC cell-derived exosomal miR-26a-5p promotes the expression of PD-L1 in macro-phages through the PTEN/AKT signaling pathway.

Background and objective Low-dose spiral computed tomography(LDCT)has been recommended for lung cancer screening in high-risk populations.However,evidence from Chinese populations was limited due to the dif-ferent criteria for high-risk populations and the short-term follow-up period.This study aimed to evaluate the effectiveness in Chinese adults based on the Lung Cancer Screening Program in Minhang District of Shanghai initiated in 2013.Methods A total of 26,124 subjects aged 40 years or above were enrolled in the Lung Cancer Screening Program during the period of 2013 and 2017.Results of LDCT examination,and screen-detected cancer cases in all participants were obtained from the Report-ing System of the Lung Cancer Screening Program.The newly-diagnosed cases and their vital status up to December 31,2020 were identified through a record linkage with the Shanghai Cancer Registry and the Shanghai Vital Statistics.Standardized incidence ratio(SIR)and 95％CI were calculated using the local population at ages of 40 or above as the reference.Proportions of early-stage cancer(stage 0-Ⅰ),pathological types,and 5-year observed survival rates of lung cancer cases were estimated and compared between the cases derived from the screened and non-screened populations.Cox regression models were applied to evaluate the hazard ratio(HR)and 95％CI of LDCT screening with all-cause death of the lung cancer cases.Results The crude and age-standardized incidence of lung cancer in screened population were 373.3(95％CI:343.1-406.1)and 70.3 per 100,000 person-years,respectively,with an SIR of 1.8(95％CI:1.6-1.9),which was observed to decrease with following-up time.The early-stage cancer accounted for 49.4％of all lung cancer cases derived from the screened population,significantly higher than 38.4％in cases from the non-screened population during the same period(P＜0.05).The proportion of lung adenocarcinoma(40.7％vs 35.9％)and 5-year survival rate(53.7％vs 41.5％)were also significantly higher in the cases from the screened popu-lation(all P＜0.05).LDCT screening was associated with 30％(HR=0.7,95％CI:0.6-0.8)reduced all-cause deaths of the cases.Conclusion The participants of the screening program are at high-risk of lung cancer.LDCT favors the early-detection of lung cancer and improves 5-year survival of the screened cases,indicating a great potential of LDCT in reducing the disease burden of lung cancer in Chinese populations.

With the rapid developments of science and technology, the diagnosis technology based on nuclear physics and radiotherapy technology are widely used in medicine, but radiation at the same time could have different levels of damage to human body. Therefore, it is of great significance to research and develop drugs that can prevent and treat radiation damage. The research progresses and prospects of radiation-resistant natural products, such as polysaccharides, flavonoids, phenolic acids, saponins and so on, were reviewed in this paper in order to provide a reference for further developments.

Objective: To explore the incidence regularity and characteristics of pneumoconiosis among migrant workers in Shiyan city, and to provide a basis for making policies about pneumoconiosis prevention and treatment among migrant workers. Methods: In September 2018, 338 cases of pneumoconiosis among migrant workers and 354 cases of pneumoconiosis among non-migrant workers were collected between 2013 and 2017. The proportions of pneumoconiosis types, the age and seniority of onset workers, the severity grade of pneumoconiosis, the type of pneumoconiosis, the type of work and regional distribution, etc. were analyzed. Results: The age at onset of pneumoconiosisand the length of service of migrant workers and non-migrant workers in Shiyan city were significantly different (t=2.237, 3.208, P<0.05) . The proportion of pneumoconiosis stage was significantly different from that of non-migrant workers (χ²=47.897, P<0.05) , among migrant workers, the types of pneumoconiosis were mainly silicosis (308 cases, 91.1%) , coal worker's pneumoconiosis (29 cases, 8.6%) . The leading work types are rock drilling (115 cases, 34.0%) and blasting (105 cases, 31.1%) . The industry was mainly engaged in non-ferrous metal mining (205 cases, 60.7%) and coal (105 cases, 31.1%) . The area distribution involved each counties of Shiyan city, with Zhushan county (175 cases, 51.8%) and Yunxi county (125 cases, 37.0%) as the top two districts in number of cases. Of the cases of migrant workers, 89 cases (26.3%) had blood relationship with any others. There was no work-related injury insurance for migrant workers with pneumoconiosis. Conclusion There is a high incidence of pneumoconiosis among migrant workers in Shiyan city, featured with the phenomenon of "late occurrence" and "family clustering", so it is urgent to strengthen the prevention and treatment of pneumoconiosis of migrant workers.