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 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.

Objective To observe the optimal target areas for shear wave velocity(SWV)evaluation on stages of chronic kidney disease(CKD)in different sides(left,right),different parts(upper pole,middle part and lower pole)and different tissue(renal cortex,renal medulla,renal sinus)of kidney.Methods Sixty-five CKD patients(130 kidneys)were retrospectively collected.SWV were compared between different sides,among different parts and tissue of kidney.The optimal regions for evaluating CKD stages were screened.Results No significant difference of SWV was found between left and right kidneys in same parts for same tissue(all P＞0.05),while significant differences of SWV of the same tissue were noticed among upper pole,middle part and lower part of kidney on the same side(all P＜0.05),i.e at upper pole＞at middle part＞at lower pole.Significant differences of SWV were also observed among renal cortex,medulla and sinus of kidney in the same side and parts(all P＜0.05),and the sinus had the highest SWV.Intraclass correlation coefficient analysis showed that the repeatability of the measurements of SWV was the best at the middle part of kidney.Besides,significant differences of SWV were found between renal cortex and medulla at the middle part of kidney among patients with stages 1,2,3 and 4-5 CKD(all P＜0.05),while the highest SWV were observed in patients with 4-5 stage CKD(all P＜0.05).SWV of renal cortex and medulla at middle part were positively correlated with CKD stages(both P＜0.01),the area under the curve of them for evaluating stage of CKD was 0.802 and 0.774,respectively.Conclusion The optimal target areas for SWV evaluation on stages of CKD were renal cortex and medulla at middle part of kidney.

Objective:To investigate the pattern of distribution of the circumferential fascia of the rectum and elucidate its clinical implications.Methods:In this descriptive study, we examined the gross anatomy of four male hemipelvic cadaveric specimens from the Department of Anatomy at Fujian Medical University and the histological features of 16 fresh postoperative specimens from patients who had undergone total mesorectal excision for rectal cancer at the Department of Colorectal Surgery, Union Hospital, Fujian Medical University, between January and December 2022. The resultant combination of gross anatomical and histological features was employed to assess the following areas: (1)the morphology of the anterior mesorectum and fascia at the peritoneal reflection; (2)the caudal attachment point of Denonvilliers' fascia; (3) the fusion area of the pelvic plexus and the pre-hypogastric fascia; (4)the lateral and posterior attachment edges of the rectosacral fascia; and (5) selected histological features.Results:Our findings were as follows. (1) At the peritoneal reflection, the anterior mesorectum forms a triangular fat pad with a dense fascial structure. The base of this pad extends anteriorly across the most caudal point of the peritoneal reflection, with Denonvilliers' fascia originating from the anterior side of the triangle, near the bladder side of the peritoneum craniad to the peritoneal reflection. (2) The caudal attachment of Denonvilliers' fascia is at the angle between the seminal vesicles, the ampulla of the vas deferens, and the prostate. It adheres tightly to the prostatic capsule and vascular bundles pass through its cephalic side. (3) The pre-hypogastric fascia transitions laterally to merge with Denonvilliers' fascia; its middle part being inseparable from the main body of the pelvic plexus, which gives rise to the nerves that innervate the rectum. (4) The rectosacral fascia is formed by fusion of the fascia propria with the pre-hypogastric fascia. The resultant fused fascia bifurcates into two leaves on the right side; the outer leaf being the pre-hypogastric fascia and the inner leaf the fascia propria. (5) Histologically, the peritoneal reflection zone shows cuboidal epithelium of the peritoneum at its lowest point with no detectable origin of Denonvilliers' fascia. The anterior side of the peritoneal reflection, from which Denonvilliers' fascia originates, has a dense double-layered fascial structure comprising thick collagen fiber (16/16). The fascia propria exhibits a thinner and looser collagen fiber structure and its origin varies between individuals, 13/16 originating together with Denonvilliers' fascia from the craniad side of the peritoneal reflection, and 3/16 originating separately from the most caudal point of the peritoneal reflection. The caudal edge of Denonvilliers' fascia has a double-layered fascial structure with multiple S100-stained areas. The posterior edge of the rectosacral fascia has a fused fascial structure, thick nerve fibers being clearly observable between collagen fibers originating from the pre-hypogastric fascia under high magnification. The lateral edge of the rectosacral fascia extends interiorly, maintains the integrity of the fascia propria.Conclusions:In this study, we investigated the pattern of distribution of the circumferential fascia of the rectum by cadaveric dissection and histological examination of postoperative specimens. We found that the anterior mesorectum forms a triangular fat pad that can serve as a reference for dissection anterior to Denonvilliers' fascia, by making incisions 1 cm above the peritoneal reflection. The region of fusion of Denonvilliers' fascia with the prostatic capsule on the caudal side is rich in neurovascular bundles, contradicting the traditional view of a retroprostatic plane. This finding supports the practice of cutting Denonvilliers' fascia 0.5 cm above the base of the seminal vesicles. The fusion of the fascia propria with the pre-hypogastric fascia posteriorly forms the rectosacral fascia, which bifurcates into two leaves on both sides of the rectum, the inner leaf being the fascia propria and the outer leaf the pre-hypogastric fascia. These transition anteriorly to become Denonvilliers' fascia and fuse densely with the main body of the pelvic plexus on both sides. These findings provide a theoretical foundation for protecting the pelvic plexus and hypogastric nerve by transecting Denonvilliers' fascia and then dissecting in a top-to-bottom direction (i.e., from anterior to caudal), ultimately leading to the transection of the pre-hypogastric fascia.

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 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.

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 pattern of distribution of the circumferential fascia of the rectum and elucidate its clinical implications.Methods:In this descriptive study, we examined the gross anatomy of four male hemipelvic cadaveric specimens from the Department of Anatomy at Fujian Medical University and the histological features of 16 fresh postoperative specimens from patients who had undergone total mesorectal excision for rectal cancer at the Department of Colorectal Surgery, Union Hospital, Fujian Medical University, between January and December 2022. The resultant combination of gross anatomical and histological features was employed to assess the following areas: (1)the morphology of the anterior mesorectum and fascia at the peritoneal reflection; (2)the caudal attachment point of Denonvilliers' fascia; (3) the fusion area of the pelvic plexus and the pre-hypogastric fascia; (4)the lateral and posterior attachment edges of the rectosacral fascia; and (5) selected histological features.Results:Our findings were as follows. (1) At the peritoneal reflection, the anterior mesorectum forms a triangular fat pad with a dense fascial structure. The base of this pad extends anteriorly across the most caudal point of the peritoneal reflection, with Denonvilliers' fascia originating from the anterior side of the triangle, near the bladder side of the peritoneum craniad to the peritoneal reflection. (2) The caudal attachment of Denonvilliers' fascia is at the angle between the seminal vesicles, the ampulla of the vas deferens, and the prostate. It adheres tightly to the prostatic capsule and vascular bundles pass through its cephalic side. (3) The pre-hypogastric fascia transitions laterally to merge with Denonvilliers' fascia; its middle part being inseparable from the main body of the pelvic plexus, which gives rise to the nerves that innervate the rectum. (4) The rectosacral fascia is formed by fusion of the fascia propria with the pre-hypogastric fascia. The resultant fused fascia bifurcates into two leaves on the right side; the outer leaf being the pre-hypogastric fascia and the inner leaf the fascia propria. (5) Histologically, the peritoneal reflection zone shows cuboidal epithelium of the peritoneum at its lowest point with no detectable origin of Denonvilliers' fascia. The anterior side of the peritoneal reflection, from which Denonvilliers' fascia originates, has a dense double-layered fascial structure comprising thick collagen fiber (16/16). The fascia propria exhibits a thinner and looser collagen fiber structure and its origin varies between individuals, 13/16 originating together with Denonvilliers' fascia from the craniad side of the peritoneal reflection, and 3/16 originating separately from the most caudal point of the peritoneal reflection. The caudal edge of Denonvilliers' fascia has a double-layered fascial structure with multiple S100-stained areas. The posterior edge of the rectosacral fascia has a fused fascial structure, thick nerve fibers being clearly observable between collagen fibers originating from the pre-hypogastric fascia under high magnification. The lateral edge of the rectosacral fascia extends interiorly, maintains the integrity of the fascia propria.Conclusions:In this study, we investigated the pattern of distribution of the circumferential fascia of the rectum by cadaveric dissection and histological examination of postoperative specimens. We found that the anterior mesorectum forms a triangular fat pad that can serve as a reference for dissection anterior to Denonvilliers' fascia, by making incisions 1 cm above the peritoneal reflection. The region of fusion of Denonvilliers' fascia with the prostatic capsule on the caudal side is rich in neurovascular bundles, contradicting the traditional view of a retroprostatic plane. This finding supports the practice of cutting Denonvilliers' fascia 0.5 cm above the base of the seminal vesicles. The fusion of the fascia propria with the pre-hypogastric fascia posteriorly forms the rectosacral fascia, which bifurcates into two leaves on both sides of the rectum, the inner leaf being the fascia propria and the outer leaf the pre-hypogastric fascia. These transition anteriorly to become Denonvilliers' fascia and fuse densely with the main body of the pelvic plexus on both sides. These findings provide a theoretical foundation for protecting the pelvic plexus and hypogastric nerve by transecting Denonvilliers' fascia and then dissecting in a top-to-bottom direction (i.e., from anterior to caudal), ultimately leading to the transection of the pre-hypogastric fascia.