Objective To investigate the effects and related mechanisms of mitochondrial-derived peptide MOTS-c on glycochenodeoxycholic acid (GCDCA)-induced injury in human hepatocytes (THLE-3 cells). Methods THLE-3 cells were cultured in vitro and treated with different concentrations of GCDCA and MOTS-c. The optimal concentrations of GCDCA and MOTS-c were determined by cell counting kit (CCK)-8 method. Subsequently, THLE-3 cells were treated or pre-treated with GCDCA (200 µmol/L), MOTS-c (15, 30, 60 µmol/L), the multidrug resistance protein 2 (MRP2) inhibitor Probenecid (500 µmol/L), and the nuclear factor erythroid 2-related factor 2 (Nrf2) inhibitor ML385 (10 µmol/L). Cell proliferation was assessed by CCK-8 method. Lactate dehydrogenase (LDH) levels in the culture medium were measured by biochemical method. Cell apoptosis rates were determined by flow cytometry. MRP2 messenger RNA (mRNA) levels were detected by real-time quantitative polymerase chain reaction (RT-qPCR). MRP2 and Nrf2 protein expression levels were analyzed by Western blotting. Results As the concentration of GCDCA increased, the proliferation activity of THLE-3 cells gradually decreased, while LDH activity in the culture medium and apoptosis levels increased, and the expression levels of MRP2 in the cells decreased (all P<0.05). Treatment with 30 and 60 µmol/L MOTS-c significantly enhanced the proliferation activity of THLE-3 cells exposed to GCDCA, upregulated the expression of MRP2 and Nrf2, and reduced LDH activity and apoptosis levels (all P<0.05). Co-treatment with Probenecid partially reversed the protective effects of MOTS-c on GCDCA-induced THLE-3 cells injury, while co-treatment with ML385 partially inhibited the induction of MRP2 expression by MOTS-c in THLE-3 cells exposed to GCDCA. Conclusions MOTS-c may alleviate GCDCA-induced injury in human hepatocytes (THLE-3 cells), and its mechanism may be related to the upregulation of MRP2 expression mediated by Nrf2.

Objective To explore the feasibility of applying artificial intelligence (AI) technology in chromosomal aberration (CA) analysis for occupational health surveillance of radiation workers and in biological dose estimation during nuclear emergency responses. Methods Peripheral blood samples from healthy volunteers were irradiated in vitro with X-rays and cobalt-60 (⁶⁰Co) γ rays. Chromosome slides were prepared using an automated harvesting and dropping device. The data training and outcome evaluation of CA analysis was performed on the AI software using chromosome images from occupational medical examination of radiation workers from the current lab or chromosome slides from blood samples irradiated with X-rays. The trained AI software was then used to assist in CA analysis and biological dose estimation among occupational medical examination of radiation workers, with results compared with manual reading and actual exposure doses. Results The trained AI software achieved a CA recognition accuracy of 95.11%. In the occupational health examination of radiation workers, the positive CA detection rate using AI + manual review was 2.25% higher than that in manual reviewing alone. The errors in biological dose estimation for ⁶⁰Co γ rays and X-rays using AI + manual review analysis were 11.86% and 7.33%, respectively, both within the acceptable 20.00% error margin. Conclusion AI + manual review can be effectively applied in CA analysis for occupational health examination and biological dose estimation during nuclear emergencies, significantly improving analysis efficiency.

OBJECTIVE: To construct machine learning prediction model for sepsis-associated encephalopathy (SAE), and analyze the application value of the model on early identification of SAE risk in elderly septic patients. METHODS: Patients aged over 60 years with a primary diagnosis of sepsis admitted to intensive care unit (ICU) from 2008 to 2023 were selected from Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2). Demographic variables, disease severity scores, comorbidities, interventions, laboratory indicators, and hospitalization details were collected. Key factors associated with SAE were identified using univariate Logistic regression analysis. The data were randomly divided into training and validation sets in a 7 : 3 ratio. Multivariable Logistic regression analysis was conducted in the training set and visualized using a nomogram model for prediction of SAE. The discrimination of the model was evaluated in the validation set using the receiver operator characteristic curve (ROC curve), and its calibration was assessed using calibration curve. Furthermore, multiple machine learning algorithms, including multi-layer perceptron (MLP), support vector machine (SVM), naive bayes (NB), gradient boosting machine (GBM), random forest (RF), and extreme gradient boosting (XGB), were constructed in the training set. Their predictive performance was subsequently evaluated on the validation set. Taking the XGB model as an example, the interpretability of the model through the SHapley Additive exPlanations (SHAP) algorithm was enhanced to identify the key predictive factors and their contributions. RESULTS: A total of 2 204 septic patients were finally enrolled, of whom 840 developed SAE (38.1%). A total of 21 variables associated with SAE were screened through univariate Logistic regression analysis. Multivariable Logistic regression analysis showed that endotracheal intubation [odds ratio (OR) = 0.40, 95% confidence interval (95%CI) was 0.19-0.88, P < 0.001], oxygen therapy (OR = 0.76, 95%CI was 0.53-0.95, P = 0.023), tracheotomy (OR = 0.20, 95%CI was 0.07-0.53, P < 0.001), continuous renal replacement therapy (CRRT; OR = 0.32, 95%CI was 0.15-0.70, P < 0.001), cerebrovascular disease (OR = 0.31, 95%CI was 0.16-0.60, P < 0.001), rheumatic disease (OR = 0.44, 95%CI was 0.19-0.99, P < 0.001), male (OR = 0.68, 95%CI was 0.54-0.86, P = 0.001), and maximum anion gap (AG; OR = 0.95, 95%CI was 0.93-0.97, P < 0.001) were associated with an decreased probability of SAE, and age (OR = 1.05, 95%CI was 1.03-1.06, P < 0.001), acute physiology score III (APSIII; OR = 1.02, 95%CI was 1.01-1.02, P < 0.001), Oxford acute severity of illness score (OASIS; OR = 1.04, 95%CI was 1.03-1.06, P < 0.001), and length of hospital stay (OR = 1.01, 95%CI was 1.01-1.02, P < 0.001) were associated with an increased probability of SAE. A nomogram model was constructed based on these variables. In the validation set, ROC curve analysis showed that the model achieved an area under the ROC curve (AUC) of 0.723, and the calibration curve showed good consistency between the predicted probability of the model and the observed probability. Among the machine learning algorithms, including MLP, SVM, NB, GBM, RF, and XGB, the SVM model and RF model demonstrated relatively good predictive performance, with AUC of 0.748 and 0.739, respectively, and the sensitivity was both exceeding 85%. The predictive performance of the XGB model was explained through SHAP analysis, and the results indicated that APSIII score (SHAP value was 0.871), age (SHAP value was 0.521), and OASIS score (SHAP value was 0.443) were important factors affecting the predictive performance of the model. CONCLUSIONS The machine learning-based SAE prediction model exhibits good predictive capability and holds significant application value for the early identification of SAE risk in elderly septic patients.
Humans ; Machine Learning ; Aged ; Sepsis-Associated Encephalopathy ; Sepsis/complications* ; Intensive Care Units ; Logistic Models ; Middle Aged ; Male ; ROC Curve ; Female ; Bayes Theorem ; Nomograms ; Support Vector Machine ; Algorithms

Objective: To investigate the current status of milk tea consumption and its association with psychological distress among college students, so as to provide theoretial support for promoting the mental health of college students. Methods: From September to November 2023, a convenience sampling method was used to select 15 440 college students aged 17-24 from seven universities in Shanghai, Jiangxi, Hubei, and Shanxi. A self designed questionnaire and the Kessler Psychological Distress Scale were used to assess milk tea consumption and psychological distress, respectively. The Mantel-Haenszel test was employed to analyze the trend of psychological distress at different levels of milk tea consumption. Binary Logistic regression analysis was used to determine the association between milk tea consumption and psychological distress, and the restricted cubic spline method was applied to explore the nonlinear relationship between milk tea consumption and symptoms of psychological distress. Results: The detection rate of psychological distress among college students was 59.6%. Univariate analysis indicated a significant trend association between milk tea consumption frequency ( χ 2 trend =42.33) and milk tea intake level ( χ 2 trend = 5.17 ) with psychological distress ( P <0.05). Binary Logistic regression models showed a positive association between different levels of milk tea consumption frequency and psychological distress [1-3 times (mild to moderate distress, OR =1.20,1.41), 4-5 times (mild to severe distress, OR =2.80,5.44,4.12), and ≥6 times (severe distress, OR =8.04); and milk tea intake level: 1-1 500 mL (severe distress, OR =1.35), >1 500- <3 000 mL (mild to moderate distress, OR =1.21, 1.35), ≥3 000 mL (mild to severe distress, OR =1.33,1.71,1.29)] ( P <0.05 ). The restricted cubic spline model showed a nonlinear association between milk tea intake and the risk of psychological distress ( F = 107.34 , P non linear <0.01, P overall <0.01). Conclusions High frequency and high volume milk tea consumption are associated with an increased risk of psychological distress among college students. Reducing the consumption behavior of college students milk tea is helpful to improve mental health.

BACKGROUND:Proximal humerus internal locking system locking plate is the most commonly used fixation method for proximal humeral fractures,but its failure rate is still high in clinical practice.Reasonable screw placement is an important factor affecting the stability of internal fixation. OBJECTIVE:To investigate the distribution of humeral head screws in the treatment of proximal humeral fractures with proximal humerus internal locking system plate and its influence on internal fixation failure. METHODS:From January 2017 to December 2021,data from patients with proximal humeral fractures undergoing proximal humerus internal locking system plate in Third Affiliated Hospital of Guangzhou University of Chinese Medicine were retrospectively analyzed.A total of 124 patients were enrolled,including 16 males and 108 females,at the age of≥60 years.According to whether there was internal fixation failure after operation,they were divided into normal group(n=101)and internal fixation failure group(n=23).The patient's age,gender,fracture type,the integrity of the medial column,plate height,neck-shaft angle,whether the talus screw was inserted,and the number of humeral head screws,were collected.The humeral head was divided into eight zones according to the postoperative digital radiography anteroposterior film,and the distribution characteristics of the screws in each zone were collected,and the heat map of the screw distribution was drawn. RESULTS AND CONCLUSION:(1)There were no significant differences between the two groups in age,gender,fracture type,the integrity of the medial column,plate height,neck-shaft angle,whether to insert talus screws,and the number of humeral head screws(P>0.05).(2)The heat map showed that the humeral head screws were evenly distributed in the normal group,mainly scattered in zones 4,6,and 7.However,the screw distribution in the internal fixation failure group was not uniform,mainly concentrated in zones 4 and 6.In addition,in the ideal area of talus screws(7/8 zone),there were significantly more screws in the normal group than in the internal fixation failure group.(3)It is indicated that in the treatment of proximal humeral fractures with proximal humerus internal locking system plate,the uniform distribution of humeral head screws is the key to ensuring the internal fixation effect.A reasonable distribution of humeral head screws helps to improve the treatment effect and the success rate of internal fixation.

Objective To analyze the occupational health status of radiation workers in Guangdong Province. Methods A total of 8 913 radiation workers who underwent occupational medical examination (OME) in Guangdong Province Hospital for Occupational Disease Prevention and Treatment in 2020 were selected as the exposure group, and 2 024 non-radiological workers who underwent health examination in the same hospital in the same period of time were selected as the control group using convenient sampling method. The study analyzed the prevalence of abnormalities in thyroid, eye lens, blood pressure, complete blood count and micronucleus in individuals of the two groups. Results The abnormal rates of eye lens, blood pressure and complete blood count in the radiation workers in the exposure group were higher than those in the control group (23.3% vs 8.0%, 18.6% vs 9.0%, 18.1% vs 8.5%, all P<0.01). However, there was no significant difference in the abnormal rates of thyroid and micronucleus in workers between these two groups (12.8% vs 11.5%, 0.1% vs 0.0%, all P>0.05). The abnormal rates of thyroid, eye lens and blood pressure in radiation workers increased with the exposure period of radiation (all P<0.05). Conclusion Long-term exposure to low-dose ionizing radiation have certain effects on the thyroid, eye lens, and blood pressure of radiation workers, with a time-effect relationship of years of radiation work.

Objective: To investigate the association between consumption of milk tea beverages and other sugary beverages with insomnia symptoms among college students, so as to the provide reference for promoting sleep quality among college students. Methods: From September to November 2023, a convenience sampling method was used to select 15 440 college students from seven universities in Shanghai, Jiangxi Province, Hubei Province, and Shanxi Province. A self developed questionnaire and the Insomnia Severity Index were used to assess milk tea beverage consumption, other sugary beverages and insomnia symptoms. Univariate analysis of insomnia symptoms among college students was performed using Chi square tests and Cochran-Armitage trend χ 2 tests. Multivariate Logistic regression analysis was conducted for the association between milk tea and other sugary beverage consumption with insomnia symptoms. Results: The detection rates of insomnia symptoms among college students was 40.83%. The frequency of consumption of different milk tea and various sugary drinks (juice, tea, milk, sodas,yogurt, functional drinks, coffee) per week was related to the detection trend rate of insomnia symptoms of college students ( χ 2 trend =38.38, 47.66, 74.16, 32.44, 65.78 , 38.71, 35.94, 91.59, P < 0.01 ). Multivariate analysis indicated that compared to individuals with no milk tea consumption, college students engaging in milk tea consumption had a significantly increased risk of insomnia symptoms ( OR =1.24, P <0.05). Students consuming milk tea at low to moderate frequencies (1-3, 4-5 times per week) showed a higher risk of insomnia symptoms compared to those with no consumption ( OR =1.20, 1.54, P <0.05). Furthermore, higher levels of milk tea consumption were significantly associated with insomnia symptoms (1 501-2 999 mL, OR =1.22; ≥3 000 mL, OR =1.36), and the consumption of other sugary beverages were also associated with insomnia symptoms of college students ( OR =1.10-1.55) ( P <0.05). Conclusions There is a relationship between consumption of milk tea beverage other sugary beverages with insomnia symptoms among college students. Colleges should regularly conduct dietary health education seminars to improve sleep quality among college students.

Objective:To explore the efficacy and safety of hyaluronic acid filler VYC-20L for full-face lifting in aesthetic seeking patients.Methods:Between November 2020 and November 2021, a total of 216 aesthetic seeking patients were enrolled in Shanghai Chingho Outpatient Department, World Path Clinic International, Qihe Medical Beauty Hospital and Qinhuangdao Qiaozhi Beauty Hospital, including 37 males and 179 females, aged 25-67 (41.42±10.93) years. According to the needs and requirements, the novel injection technique of " ROYGBbP-rainbow lifting method" was used to inject hyaluronic acid filler VYC-20L. The global aesthetic improvement scale (GAIS) and the treatment satisfaction questionnaires were scored and evaluated before the injection, and at follow-up visits 1, 6, and 12 months after the injection. Any adverse reaction or adverse events presenting or reported by the patients post-injection were recorded.Results:At 1 month, 6 months and 12 months after the injection, about 203 (94.0%), 208 (96.3%) and 205 (94.9%) of the aesthetic seeking patients rated their full-face appearance as " excellently improved" or " much improved" on the GAIS, respectively. And 12 months after the injection, the overall facial satisfaction scores and appearance recognition scores of all aesthetic seeking patients were all significantly higher than those before injection ( P<0.01). 197 (91.2%), 198 (91.7%) and 198 (91.7%) of the aesthetic seeking patients were " very satisfied" or " relatively satisfied" with the treatment at 1 month, 6 months and 12 months, respectively. Treatment site responses most frequently reported were tenderness, bruising, topical swelling and skin redness. Most of the symptoms were moderate or mild feeling, lasting for no more than two weeks. Conclusions:The application of hyaluronic acid filler VYC-20L is safe and effective for full-face lifting in aesthetic seeking patients, which can significantly improve facial sagging and rejuvenate the face. The effect of improvements can last for 12 months.

Objective Scutellaria baicalensis stems and leaves glucuronic hydrolase(sbsl GUS)was used to enzymatically hydrolyze scutellarin in Erigeron breviscapus(Vant.)Hand.Mazz.to prepare scutellarein,and the high-purity scutellarein was obtained through separation and purification.Methods Orthogonal experiments were used to optimize the process parameters for the extraction of Erigeron breviscapus(Vant.)Hand.Mazz..Using the rate of enzymatic hydrolysis conversion of scutellarin as the index,the amount of enzyme,pH,temperature,time and antioxidant were investigated,and the preparation process parameters of scutellarein were optimized.Ethanol extraction,activated carbon decolorization,and fractional crystallization were used to purify the crude extract.Results The extraction process was determined to be:segments of Erigeron breviscapus were decocted twice with 10 times water for 1 hour each time.The preparation process of scutellarein was as follows:the amount of sbsl GUS extract and Erigeron breviscapus decoction was 1∶10 based on crude drugs,0.5%sodium metabisulfite was added,pH value was about 6.0,the temperature was about 45℃,and the time was 20 hours.The crude extract of scutellarein with the content more than 60%was obtained.The crude extract was purified by fractional crystallization,refluxed with 80%ethanol,decolorized with activated carbon,concentrated and crystallized,and the scutellarein extract with content more than 85%was obtained.Conclusion sbsl GUS enzymatic hydrolysis technology,which was used to prepare scutellarein,is simple and feasible.This study provides a new way for the manufacture of scutellarein.

Objective:To develop and evaluate a nomogram prediction model for the 3-month mortality risk of patients with sepsis-associated acute kidney injury (S-AKI).Methods:Based on the American Medical Information Mart for Intensive Care-Ⅳ (MIMIC-Ⅳ), clinical data of S-AKI patients from 2008 to 2021 were collected.Initially, 58 relevant predictive factors were included, with all-cause mortality within 3 months as the outcome event. The data were divided into training and testing sets at a 7∶3 ratio. In the training set, univariate Logistic regression analysis was used for preliminary variable screening. Multicollinearity analysis, Lasso regression, and random forest algorithm were employed for variable selection, combined with the clinical application value of variables, to establish a multivariable Logistic regression model, visualized using a nomogram. In the testing set, the predictive value of the model was evaluated through internal validation. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the curve (AUC) was calculated to evaluate the discrimination of nomogram model and Oxford acute severity of illness score (OASIS), sequential organ failure assessment (SOFA), and systemic inflammatory response syndrome score (SIRS). The calibration curve was used to evaluate the calibration, and decision curve analysis (DCA) was performed to assess the net benefit at different probability thresholds.Results:Based on the survival status at 3 months after diagnosis, patients were divided into 7?768 (68.54%) survivors and 3?566 (31.46%) death. In the training set, after multiple screenings, 7 variables were finally included in the nomogram model: Logistic organ dysfunction system (LODS), Charlson comorbidity index, urine output, international normalized ratio (INR), respiratory support mode, blood urea nitrogen, and age. Internal validation in the testing set showed that the AUC of nomogram model was 0.81 [95% confidence interval (95% CI) was 0.80-0.82], higher than the OASIS score's 0.70 (95% CI was 0.69-0.71) and significantly higher than the SOFA score's 0.57 (95% CI was 0.56-0.58) and SIRS score's 0.56 (95% CI was 0.55-0.57), indicating good discrimination. The calibration curve demonstrated that the nomogram model's calibration was better than the OASIS, SOFA, and SIRS scores. The DCA curve suggested that the nomogram model's clinical net benefit was better than the OASIS, SOFA, and SIRS scores at different probability thresholds. Conclusions:A nomogram prediction model for the 3-month mortality risk of S-AKI patients, based on clinical big data from MIMIC-Ⅳ and including seven variables, demonstrates good discriminative ability and calibration, providing an effective new tool for assessing the prognosis of S-AKI patients.