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 study the relationship between serum insulin-like growth factor-1 (IGF-1) and resistin levels and osteoporosis in patients with type 2 diabetes mellitus (T2DM). Methods This study was conducted on 306 T2DM patients admitted to Baoding No.2 Central Hospital from January 2018 to January 2022. According to the detection results of bone mineral density, the patients were divided into osteoporosis group (T≤-2.5) and non-osteoporosis group (T>-2.5). The differences in IGF-1, resistin and bone mineral density were compared between the two groups. Pearson correlation analysis was used to analyze the correlation between serum IGF-1 and resistin levels and bone mineral density in patients with osteoporosis. Receiver operating characteristic (ROC) curve was applied to evaluate the application value of IGF-1 and resistin in predicting osteoporosis in patients with T2DM. Patients with T2DM complicated with osteoporosis were followed up for 2 years, and the occurrence of fractures was assessed. After univariate analysis, multivariate logistic regression analysis was applied to screen the risk factors for fractures in T2DM patients with osteoporosis. Results The incidence rate of osteoporosis in patients with T2DM was 53.59% (164/306). The IGF-1 level and bone mineral density level in the osteoporosis group were lower than those in the non-osteoporosis group, while the level of resistin was higher than that in the non-osteoporosis group (P<0.05). Serum IGF-1 in patients with osteoporosis was positively correlated with bone mineral density, and serum resistin was negatively correlated with bone mineral density (P<0.05). The AUC, sensitivity and specificity of combination of IGF-1 and resistin in predicting osteoporosis were 0.888, 82.93% and 62.68% respectively, which were all higher than those of single factor prediction (P<0.05). The 164 T2DM patients with osteoporosis were followed up for two years, and 15 patients developed fragility fractures, with the incidence of fracture of 9.15% (15/164). Multivariate analysis showed that hypoproteinemia, high-intensity exercise, lack of nutritional management, low IGF-1, and high resistin were risk factors for fractures in patients with T2DM complicated with osteoporosis (P<0.05). Conclusion For patients with T2DM, the incidence rates of osteoporosis and fractures are high. The levels of IGF-1 and resistin are closely related to bone mineral density, which can be combined to predict osteoporosis. Hypoproteinemia, high-intensity exercise, lack of nutritional management, low IGF-1 and high resistin are risk factors for fractures in T2DM patients with osteoporosis. It is necessary to carry out targeted preventive measures in clinical practice to reduce the incidence rate of fractures.

OBJECTIVE: To compare the clinical efficacy of electroacupuncture (EA) at neuro-arterial stimulation points with topical western medication in treating post-stroke shoulder-hand syndrome (SHS). METHODS: A total of 72 patients with post-stroke SHS were randomly assigned to an observation group (n=36, 2 cases dropped out) and a control group (n=36, 3 cases dropped out). Both groups received standard neurological treatment, comprehensive rehabilitation, and physical therapy. The observation group received EA at neuro-arterial stimulation points, including the ipsilateral stellate ganglion point, vagus nerve trunk and auricular branch (left side), and stimulation points of the radial and ulnar arteries, radial nerve, ulnar nerve, and median nerve, once daily for 4 weeks. The control group was treated with topical diclofenac diethylamine emulgel, and mucopolysaccharide polysulfate cream was added for patients with pronounced early-stage edema, twice a day for 4 weeks. The VAS pain score and hand edema volume were recorded before treatment, at 2 and 4 weeks during treatment, and 2 weeks after treatment completion (follow-up). Musculoskeletal ultrasound was used to measure the thickness of the dorsal hand and middle finger skin on the affected side before and after 4 weeks of treatment. RESULTS: Compared before treatment, the VAS pain scores and edema volume of the affected hand in both groups were decreased at week 2, week 4, and follow-up (P<0.05). At week 4, both groups showed lower VAS pain scores and edema volume than those at week 2 (P<0.05); during follow-up, both VAS pain scores and edema volume were further reduced compared to those at week 4 (P<0.05). At week 2, week 4, and follow-up, the VAS scores and edema volume of the affected hand in the observation group were lower than those in the control group (P<0.05). Compared before treatment, the dorsal hand skin thickness and middle finger skin thickness on the affected side were decreased in both groups after 4 weeks of treatment (P<0.05). Compared with the control group, the observation group showed thinner dorsal hand and middle finger skin thickness after 4 weeks of treatment (P<0.05). CONCLUSION EA at neuro-arterial stimulation points effectively alleviates pain and edema in patients with post-stroke SHS, and demonstrates superior efficacy compared to topical western medication.
Humans ; Male ; Female ; Middle Aged ; Electroacupuncture ; Aged ; Stroke/complications* ; Acupuncture Points ; Adult ; Reflex Sympathetic Dystrophy/physiopathology* ; Treatment Outcome ; Hand

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 estimate the biological dose in a patient who developed radiation dermatitis after a local X-ray exposure incident. Methods Peripheral blood samples, which were used to performed lymphocyte chromosome aberration analysis, were collected from the patient at 54 and 102 days after the last exposure. Biological dose in the patient was estimated using four published X-ray dose-effect calibration curves for chromosomal aberrations. The absorbed dose in the patient was reconstructed using Dolphin′s model and time correction factors. Results The abnormal rates of chromosome aberration at 54 and 102 days after exposure were 1.00% and 0.40%, respectively. Based on the four calibration curves, the estimated local exposure dose at 54 day ranged from 3.59 to 10.51 Gy, and the time-corrected whole-body equivalent dose ranged from 0.27 to 0.87 Gy. The local dose estimated at 102 days ranged from 2.24 to 6.64 Gy, with a time-corrected whole-body equivalent dose of 0.12 to 0.60 Gy, which differed from the day-54 estimates. The biological doses estimated by both methods were lower than the physical dose (29.43 Gy). Conclusion The estimation of local biological dose of patient various in four dose-effect curves selected in this study. Delayed blood sampling will lead to underestimate biological dose. Early blood collection after radiation incidents is critical to ensure accuracy and reliability. Moreover, biological dose reconstruction methods for complex exposure scenarios require further research to improve the accracy of emergency response in radiation accidents.

Background Psychological disturbances such as work-family conflict and depressive mood are prevalent among occupational groups and are closely related to eating behavior. Therefore, investigating the influencing factors of eating behavior is of great significance for promoting the health behaviors of occupational populations. Objective To clarify the current situation of eating behavior among the occupational populations aged 18 to 60 years in China, and to explore the relationship between work-family conflict, depressive mood, and eating behavior, and to test the mediating role of depressive mood in the relationship. Methods The study used a data set containing occupational populations aged 18 to 60 years extracted from the 2021 Psychology and Behavior Investigation of Chinese Residents. The Work-Family Conflict Scale, the Chinese version of the Sakata Eating Behavior Scale Short Form, and the Patient Health Questionnaire-Depression Scale were used. Potential influencing factors of eating behavior of the occupational populations were evaluated by multiple linear regression. Structural equation modeling was used to analyze the relationships between work-family conflict, depressive mood, and eating behavior, and the Bootstrap method was used to test the mediating effect of depressive mood on the relationship of work-family conflict and eating behavior. Results Among the occupational populations, the proportion of reporting high work-family conflict was 48.4%, and the proportion of reporting mild depression and above was 48.7%. The total score of eating behavior was (16.16±4.64), and the proportion of high abnormal eating behavior tendency was 39.1%. There were significant differences in eating behavior score among different age, educational level, marital status, number of offspring, occupation, smoking, and drinking groups (P<0.05). The partial correlation analysis showed that work-family conflict and depressive mood were positively correlated with abnormal eating behavior (r=0.367, 0.386, P<0.001); work-family conflict was positively correlated with depressive mood (r=0.466, P<0.001). The results of the multiple linear regression showed that depressive mood, work-family conflict, age, smoking, drinking, and education level were associated with eating behavior (P<0.05). The structural equation modeling indicated that work-family conflict positively associated with depressive mood (b=0.529, P<0.001), depressive mood positively associated with abnormal eating behavior (b=0.292, P<0.001), and work-family conflict positively associated with abnormal eating behavior (b=0.270, P<0.001). Depressive mood played a partial mediating role in the relationship between work-family conflict and eating behavior, and the effect value was 0.154 (95%CI: 0.132, 0.179) that accounted for 36.32% of the total effect. Conclusion Work-family conflict could directly affect the eating behavior among occupational populations, and also indirectly affect eating behavior through a mediating effect of depressive mood. Therefore, optimizing the allocation of tasks between work and family, providing psychological support in need, alleviating work-family conflict and depressive mood may improve the eating behavior and mental health of working populations.

Objective To investigate the changes in interleukin-34 (IL-34)levels in serum and bronchoalveolar lavage fluid (BALF) of patients with severe pneumonia and their prognostic value. Methods A total of 66 patients with severe pneumonia (severe pneumonia group), 35 patients with non-severe pneumonia (non-severe pneumonia group), and 27 healthy adults (control group) were enrolled. The severe pneumonia group was further divided into survival group of 38 patients and non-survival group of 28 patients based on 28-day survival. Clinical data of all subjects were analyzed. Receiver operating characteristic (ROC) curves were plotted to assess the predictive power of serum IL-34 and relative IL-34 gene expression in BALF for 28-day mortality in patients with severe pneumonia, as well as the predictive power of serum IL-34 for severe pneumonia. Kaplan-Meier survival curves were plotted, and the Log-rank test was used to compare cumulative survival rates. Cox regression analysis was conducted to explore risk factors for 28-day mortality in patients with severe pneumonia. Pearson correlation analysis was used to assess the correlation between serum IL-34 levels and relative IL-34 gene expression in BALF of patients with severe pneumonia. Results Serum IL-34 levels were higher in the severe pneumonia group than those in the non-severe pneumonia group, and were higher in the non-severe pneumonia group than in the control group (P < 0.05). Serum IL-34 levels and relative IL-34 gene expression in BALF were higher in the non-survival group than in the survival group (P < 0.05). ROC curve analysis showed that the areas under the curve for predicting 28-day mortality in patients with severe pneumonia were 0.908 for serum IL-34 levels and 0.878 for relative IL-34 gene expression in BALF. The optimal cutoff value for serum IL-34 levels in predicting severe pneumonia was 129.9 pg/mL. Multivariate Cox regression analysis showed that increased serum IL-34 levels and increased relative IL-34 gene expression in BALF were independent risk factors for 28-day mortality in patients with severe pneumonia (P < 0.05). The Kaplan-Meier survival analysis results indicate that, with a cutoff value of 129.9 pg/mL, patients with severe pneumonia who had high serum levels of IL-34 exhibited a lower cumulative survival rate compared to those with low IL-34 level(Log-rank P < 0.001). Conclusion Serum IL-34 levels are significantly increased in patients with severe pneumonia, and relative IL-34 gene expression in BALF is positively correlated with serum IL-34 levels. Both can be used as indicators for predicting the prognosis of 28-day mortality in patients with severe pneumonia.

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.

The gut microbiota is a vast microbial ecosystem,specifically present in the organism and plays an important regulatory role in the body's health or disease state together with its metabolites.After spinal cord injury,the complex pathophysiology at the site of trauma makes axonal regeneration difficult,and the autonomic motor dysfunction induced by spinal cord injury disrupts gastrointestinal function and causes gut microbiota imbalance.The previous clinical outcomes of neurorepair strategies after spinal cord injury have not been ideal.The dysregulated gut microbiota and neuroinflammation after spinal cord injury are closely associated with the prognosis of the patients.The potential mechanisms by which the gut microbiota may influence the neuroinflammation after spinal cord injury may include the activation of gut-associated lymphoid tissue and disruption of the intestinal barrier by the imbalanced microbiota,and gut microbiota and its metabolites such as lipopolysaccharides(LPS),short chain fatty acids(SCFAs),5-hydroxytryptamine(5-HT),and tryptophan,as well as immune cells,inflammatory factors,and neurotransmitters the local inflammatory response in the spinal cord through the circulatory system.This paper revews the studies on the changes in gut microbiota after spinal cord injury and their effects on the spinal cord neuroinflammation,providing new targets and new ideas for improving the neuroinflammation after spinal cord injury.

Objective:To investigate the predictive value of differential distribution of peripheral lymphocyte subsets before and after the first 131I treatment on the therapeutic response to 131I treatment in patients with papillary thyroid cancer (PTC). Methods:A retrospective study was conducted on 46 PTC patients (16 males, 30 females, age 20-77 years) who underwent total thyroidectomy and received 131I treatment between January 2021 and August 2021 in First Hospital of Shanxi Medical University. Peripheral blood lymphocyte subsets (T, B, CD4 + T, CD8 + T, natural killer (NK), helper T (Th)1, Th2, Th17, and regulatory T (Treg) cells) were measured 1-2 d before and 30 d after 131I treatment. Based on serological and imaging evidence, therapeutic response at 6-12 months post- 131I therapy was categorized as either excellent response (ER) or non-excellent response (NER). Differences of preablative stimulated thyroglobulin (psTg) and clinical baseline characteristics between two groups were assessed by using independent-sample t test, paired t test, or Mann-Whitney U test. Predictive value of lymphocyte subsets before and after 131I treatment for therapeutic response was assessed through logistic regression analysis, ROC curve analysis, and decision curve analysis (DCA). Results:In ER group ( n=33) and NER group ( n=13), most lymphocyte subsets showed different degrees of reduction 30 d after 131I treatment compared to before 131I treatment, such as T, B, CD4 + T and Th1 cells in ER group, as well as T, B, CD4 + T, Th1, Th2, Th17, and Treg cells in NER group ( t values: 2.41-9.57, all P<0.05). Before 131I treatment, NER group had significantly higher levels of psTg, Th2, Th17, and Treg cells compared to the ER group ( t values: from -3.32 to -2.48, U=29.00, all P<0.05). After 131I treatment, most of lymphocyte subsets in NER group (T, B, CD4 + T, CD8 + T, Th1 and Treg cells) showed higher trend than those in ER group but without statistical significances ( t values: from -1.12 to -0.06, all P>0.05). Th2 cells before 131I treatment (odds ratio ( OR)=25.00, 95% CI: 1.36-459.10, P=0.030) was identified as a risk factor for NER. ROC curve analysis indicated that AUCs of psTg and Th2 cells for predicting therapeutic response were 0.932 and 0.790, respectively, which was 0.958 for the combined psTg and Th2 cells. DCA showed that within the threshold probability range of 10%-60%, the curves for psTg, Th2 cells, and the combined psTg and Th2 cells were all higher than the extreme curve, suggesting good effect. Conclusions:Most lymphocyte subsets decrease to varying degrees, and NER group shows a significant decrease 30 d after 131I treatment. Th2 cells may be a risk factor for poor response to 131I treatment, providing a certain value in predicting the therapeutic response to 131I treatment.