ObjectiveTo investigate the influencing factors for traditional Chinese medicine （TCM） syndromes in pancreatic cancer by analyzing 608 cases， and to provide a theoretical reference for TCM syndrome differentiation and standardized treatment of pancreatic cancer. MethodsA total of 608 patients with a pathological or clinical diagnosis of pancreatic cancer who were admitted to Shanxi Institute of Traditional Chinese Medicine， The Affiliated Hospital of Shanxi University of Chinese Medicine， and Shanxi Provincial Hospital of Integrated Traditional Chinese and Western Medicine from January 2019 to December 2023 were enrolled， and TCM syndrome differentiation was performed. The chi-square test was used for comparison of categorical data between groups. The clinical data with statistical significance between groups were included in the regression analysis， and the unordered polytomous logistic regression model was used to investigate the influencing factors for the TCM syndrome of pancreatic cancer. ResultsFor the 608 patients with pancreatic cancer， common initial symptoms included abdominal pain （32.40%）， abdominal distension （23.85%）， fatigue （16.12%）， and emaciation （10.03%）， and the main clinical symptoms included poor appetite （75.97%）， abdominal pain （67.27%）， fatigue （61.84%）， abdominal distension （57.40%）， and emaciation （53.62%）. There were significant differences between the patients with different TCM syndromes of pancreatic cancer in sex （χ²=62.823， P<0.001）， disease duration （χ²=14.868， P=0.011）， clinical stage （χ²=21.006， P<0.001）， lymph node metastasis （χ²=2.205， P=0.032）， surgery （χ²=38.008， P<0.001）， chemotherapy （χ²=21.384， P<0.001）， radiotherapy （χ²=17.510， P=0.004）， and immunotherapy （χ²=18.573， P=0.002）. The logistic regression analysis showed that male sex was a protective factor against Qi and blood deficiency syndrome （odds ratio ［OR］=0.081， 95% confidence interval ［CI］： 0.031‍ ‍—‍ ‍0.213， P<0.001）， Qi stagnation and blood stasis syndrome （OR=0.100， 95%CI： 0.041‍ ‍—‍ ‍0.247， P<0.001）， and syndrome of Yin deficiency with internal heat （OR=0.158， 95%CI： 0.057‍ ‍—‍ ‍0.444， P<0.001）， while it was a risk factor for the syndrome of damp-heat accumulation （OR=2.378， 95%CI： 1.074‍ ‍—‍ ‍5.266， P=0.033）； the course of the disease of<1 year was a protective factor against Qi and blood deficiency syndrome （OR=0.167， 95%CI： 0.073‍ ‍—‍ ‍0.383， P<0.001）， syndrome of spleen-kidney Yang deficiency （OR=0.183， 95%CI： 0.089‍ ‍—‍ ‍0.378， P<0.001）， and syndrome of Yin deficiency and internal heat （OR=0.164， 95%CI： 0.070‍ ‍—‍ ‍0.385， P<0.001）； clinical stage Ⅰ/Ⅱ/Ⅲ was a risk factor for damp-heat accumulation （OR=2.793， 95%CI： 1.259‍ ‍—‍ ‍6.196， P=0.012） and Qi stagnation and blood stasis syndrome （OR=7.863， 95%CI： 2.808‍ ‍—‍ ‍22.020， P<0.001）； lymph node metastasis was a risk factor for Qi and blood deficiency syndrome （OR=4.005， 95%CI： 1.477‍ ‍—‍ ‍10.861， P=0.006）； surgical treatment was a risk factor for Qi and blood deficiency syndrome （OR=4.151， 95%CI： 1.916‍ ‍—‍ ‍8.995， P<0.001）， syndrome of spleen-kidney yang deficiency （OR=5.352， 95%CI： 2.436‍ ‍—‍ ‍11.759， P<0.001）， Qi stagnation and blood stasis syndrome （OR=2.334， 95%CI： 1.071‍ ‍—‍ ‍5.088， P=0.033）， and syndrome of Yin deficiency and internal heat （OR=4.167， 95%CI： 1.789‍ ‍—‍ ‍9.707， P<0.001）； chemotherapy was a protective factor against damp-heat accumulation （OR=0.188， 95%CI： 0.082‍ ‍—‍ ‍0.428， P<0.001）； radiotherapy was a risk factor for damp-heat accumulation （OR=2.571， 95%CI： 1.151‍ ‍—‍ ‍5.746， P=0.021） and syndrome of Yin deficiency with internal heat （OR=8.384， 95%CI： 3.348‍ ‍—‍ ‍20.997， P<0.001）； immunotherapy was a risk factor for Qi and blood deficiency syndrome （OR=2.114， 95%CI： 1.021‍ ‍—‍ ‍4.379， P=0.044）. ConclusionSex， course of the disease， clinical stage， presence or absence of lymph node metastasis， surgery， chemotherapy， radiotherapy， and immunotherapy are the main influencing factors for the TCM syndrome of pancreatic cancer.

Hepatic angiomyolipoma （HAML） is a rare benign mesenchymal tumor frequently observed in middle-aged women. Due to the absence of prominent symptoms in the early stage and the lack of specific imaging findings， the diagnosis of this disease can be challenging， leading to a high rate of misdiagnosis. This article reports a case of giant HAML with subcapsular rupture that was misdiagnosed as hepatocellular carcinoma and introduces the characteristics of the case and its diagnosis and treatment process， in order to provide a reference for the diagnosis and treatment of this type of disease.

Mesenchymal stem cells （MSCs） have emerged as a promising cellular therapy for end-stage liver disease （ESLD） due to their robust self-regenerative， paracrine， and immunomodulatory characteristics， providing new directions for the treatment of advanced liver disease. However， the clinical application of MSCs is significantly limited by the fact that only a small number of MSCs can reach the liver due to massive apoptosis or necrosis during the homing process caused by the influence of the complex microenvironment （inflammation， oxidative stress， and hypoxia） of the injured liver and the fact that a substantial proportion of MSCs become trapped in the pulmonary capillaries following intravenous administration with a lack of sufficient homing receptors or adhesion molecules. Various strategies have been developed to optimize the proliferation， migration， and homing abilities of MSCs， including preconditioning， gene modification， and nanoencapsulation technology. This article elaborates on the influencing factors for the homing ability of MSCs， the strategies to optimize their homing in ESLD， and the mechanism of the homing of MSCs， in order to improve cell transplantation efficiency， promote liver repair and regeneration， and pave the way for the application of MSCs in the treatment of ESLD.

Background The positive rate of work-related musculoskeletal disorders (WMSDs) among coal mine workers remains high, which seriously affects the quality of life of the workers. Objective To estimate the prevalence of WMSDs among coal miners in Shanxi Province and analyze their influencing factors. Methods From May to December 2023, 2315 coal miners from a coal mine enterprise inShanxi Province were selected by convenience sampling, and the self-administered Basic Situation Survey Scale, Musculoskeletal Disorders Questionnaire, Effort-Reward Imbalance Questionnaire, and Pittsburgh Sleep Quality Scale were used to evaluate general demographic characteristics, work organization characteristics, living habits, sleep quality, occupational stress, and occurrence of WMSDs symptoms and the corresponding absences (sickness absence) in past 1 year. The positive rate and absenteeism rate of WMSDs were caculated, and Pearson's chi-square test was used for identify influencing factors of WMSDs, and finally a binary logistic regression method was used to further studying the factors. Results A total of 2577 questionnaires were distributed in this survey, and 2315 valid questionnaires were recovered, with an effective recovery rate of 89.9%. The positive rate of WMSDs symptoms was 48.7% (1127/2315), the absenteeism rate due to WMSDs was 22.6% (523/2315), and the waist (17.5%), neck (11.7%), and knee (9.0%) were the most common areas presenting WMSDs symptoms. The results of logistic regression showed that compared with ≤10 years of service, the risk of WMSDs was higher for those with > 20 years of service (OR=2.167, 95%CI: 1.419, 3.311). Compared with the daily working time of ≤8 h, the risk of WMSDs was higher for those >8 h daily working time (OR=1.463, 95%CI: 1.211, 1.767). A higher risk of WMSDs was reported in workers with moderate labor intensity (OR=1.247, 95%CI: 1.009, 1.542) or heavy labor intensity (OR=1.570, 95%CI: 1.215, 2.027) than those with light labor intensity. The higher the education level (OR _{high school and technical secondary school}=1.866, 95%CI: 1.435, 2.425; OR _{junior college/bachelor degree or above}=1.953, 95%CI: 1.445, 2.639), the higher the risk of WMSDs. The risk of WMSDs was higher in workers reporting smoking (OR=1.225, 95%CI: 1.021, 1.470) or alcohol consumption (OR=1.345, 95%CI: 1.122, 1.612). The risk of WMSDs in coal miners with high occupational stress (OR=1.229, 95%CI:1.030, 1.466) or those with sleep disorders (OR=3.616, 95%CI:2.824, 4.629) was higher than that in workers with low occupational stress or no sleep disorders respectively. Conclusion The positive rate of WMSDs among coal mine personnel in Shanxi Province is high, and education level, length of service, daily working hours, smoking, alcohol consumption, labor intensity, sleep disorders, and occupational stress are influencing factors for WMSDs.

Background Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv_2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnv_OHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P₅₀), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P₇₅) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.

Background Unhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. Objective To investigate the current status of CMRF≥2 and the compliance of healthy lifestyle in male occupational personnel, explore the effect of lifestyle on cardiometabolic risk, and provide reference for formulating healthy behavior promotion strategies and reducing cardiometabolic risk in occupational populations. Methods The study subjects were selected from male workers who completed occupational health examinations at an occupational disease prevention and control hospital in Shanxi Province from May to December 2023, and 15125 study subjects aged 18−60 years were finally included according to pre-determined inclusion and exclusion criteria. All subjects received a series of assessments including questionnaires (basic information, lifestyle habits, and occupational factors), physical examination, laboratory tests, and six cardiometabolic risk factors (central obesity, hypertension, type 2 diabetes, hypertriglyceridemia, low-density lipoprotein cholesterolemia, and hyperuricemia). A healthy lifestyle score was calculated based on six behavioral factors (smoking, drinking, physical activity, diet, sleep, sedentary behavior) and 1 point for one positive healthy behavior. The enrolled workers were then divided into three groups according to their total scores: 0−1 points (poor group), 2−3 points (moderate group), and 4−6 points (good group). Logistic regression models were used to analyze the statistical associations between lifestyle and CMRF≥2. Results The median age of the 15125 male study participants was 40 years, and the positive rate of CMRF≥2 was 53.5%. Adherence to moderate alcohol consumption was the most compliant healthy behavior (79.4%), followed by current non-smoking (41.7%), while adherence to adequate sedentary behavior (23.6%) and healthy eating (21.1%) were relatively low, and only 17.4% were able to adhere to four or more healthy lifestyle behaviors. After adjusting for confounders, when compared with the poor group high lifestyle score was found to be a protective factor for CMRF≥2 (moderate group: OR=0.70, 95%CI: 0.63, 0.77; good group: OR=0.66, 95%CI: 0.58, 0.75). In stratified analyses across different job types (coal miners, auxiliary workers, ground workers, and others), occupational stress (with or without), shift patterns (day shift, night shift, or rotating shift), dust exposure (with or without), and noise exposure (with or without), individuals with higher lifestyle scores exhibited a consistently lower risk of CMRF≥2. There was an interaction between shift pattern and lifestyle on CMRF≥2 (P_interaction<0.05). Conclusion This occupational group has a high positive rate of CMRF≥2 and a high prevalence of poor lifestyles with low adherence to some healthy behaviors. High healthy lifestyle scores are associated with a lower risk of aggregation of cardiometabolic risk factors, which may be reduced through lifestyle interventions.

Background The prevalence of hyperuricemia (HUA) among Chinese residents has been increasing annually, with occupational populations facing a higher risk of HUA due to shift work or obesity. Objective To investigate the impact of shift work and obesity on HUA among coal miners, and to provide scientific data for the prevention of HUA in this occupational group. Methods A cross-sectional study was conducted with 25619 workers from a coal mining group in 2023 as the study population, using a questionnaire survey and occupational health check-ups. Workers who were retired or on medical leave, as well as those who provided incomplete responses to the questionnaire or did not complete anthropometric measurements or blood tests, were excluded. A total of 23173 participants were included in the study. An unconditional logistic regression model was used to analyze the association between HUA and selected factors such as shift work status, years of shift work, daily shift work hours, body mass index (BMI), waist-to-height ratio (WHtR), and visceral adiposity index (VAI), as well as the interaction between obesity and shift work on HUA. Restricted cubic spline functions were used to analyze the dose-response relationship between years of shift work, daily shift work hours, and HUA. Results The average age of the included workers was (42.38 ± 9.82) years. A total of 6735 workers reported positive HUA, with a positive rate of 29.1%, and the prevalence was higher in men compared to women (31.8% vs. 13.9%). After adjusting for confounding factors, the restricted cubic spline model revealed a nonlinear dose-response relationship between years of shift work, daily shift work duration, and HUA: ① When the years of shift work exceeded 3.25 years, the risk of HUA in workers gradually increased with longer work duration. At 20 years of shift work, the risk increase showed a "saturation effect," meaning that the risk of HUA no longer increased with additional years of shift work. ② When daily shift work duration was below 10 h, the risk of HUA increased with the length of shift work, but after exceeding 10 h, the risk stabilized. After adjusting for confounding factors, the logistic regression model showed that, compared to non-shift workers, shift workers, those with 10-20 years and over 20 years of shift work experience, as well as those working less than 8 h and more than 8 h per day, had a higher risk of HUA, with odds ratios (OR) of 1.14 (95%CI: 1.06, 1.22), 2.42 (95%CI: 2.20, 2.67), 2.23 (95%CI: 2.00, 2.48), 1.41 (95%CI: 1.29, 1.54), and 1.90 (95%CI: 1.75, 2.06), respectively. Additionally, compared to individuals with normal obesity indices, those with overweight and obesity based on BMI, high and very high VAI and excessive WHtR had a higher risk of HUA, with ORs of 2.01 (95%CI: 1.85, 2.17), 3.51 (95%CI: 3.20, 3.84), 1.42 (95%CI: 1.32, 1.54), 2.10 (95%CI: 1.91, 2.30), and 1.82 (95%CI: 1.69, 1.97), respectively. The interaction analysis showed no interaction between shift work and obesity index (both P_s < 0.001). Conclusion Shift work, longer shift work years, and longer daily shift work hours increase the risk of HUA among coal miners. Additionally, the role of obesity in the development of HUA cannot be ignored.

Background Thyroid hormones are crucial for development and proper functioning of human physiological systems. Current research on the thyroid mainly focuses on the impacts of lifestyle factors on thyroid dysfunction, while less attention is paid to the factors affecting thyroid hormone levels, especially occupational hazards, which warrants further investigation. Objective To investigate the associations between occupational hazard exposure and thyroid-stimulating hormone (TSH) and thyroid hormone levels in male coal mine workers. Methods A cross-sectional study design was adopted. A total of 12564 workers who participated in the occupational health check-ups at the Xishan Coal Electricity (Group) Corporation Occupational Disease Prevention and Control Institute in 2023 and met the inclusion and exclusion criteria were selected as research subjects. A self-designed electronic questionnaire was used to collect basic information, occupational history, and lifestyle habits of all study subjects. Height, weight, thyroid function test results, and occupational hazard exposure of the study subjects were obtained through occupational health examinations and routine workplace occupational hazard detection records. Generalized linear regression was used to analyze the associations between occupational hazard exposure and the levels of TSH and thyroid hormones. Results The median (P₂₅, P₇₅) levels of triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), and TSH in the included 12564 male coal mine workers were 1.16 (1.03, 1.29) ng·mL⁻¹, 7.70 (6.70, 8.90) μg·dL⁻¹, 3.63 (3.40, 3.84) pg·mL⁻¹, 1.19 (1.08, 1.30) ng·dL⁻¹, and 1.93 (1.36, 2.78) μIU·mL⁻¹, respectively. The overall abnormality rate of thyroid hormones was 2.83%, with the highest rate for subclinical hypothyroidism (1.83%), followed by hyperthyroidism (0.37%), hypothyroidism (0.32%), and subclinical hyperthyroidism (0.31%). After adjustment for confounding factors, the generalized linear regression model showed that long working hours were associated with higher levels of T3 and FT3, with β (95%CI) values of 0.011 (0.003, 0.019) and 0.038 (0.019, 0.057) respectively. Night shift work was linked to increased TSH levels and decreased FT4 levels, with β (95%CI) values of 0.171 (0.016, 0.326) and −0.012 (−0.019, −0.006) respectively. Coal dust exposure was associated with decreased levels of T3 and T4, with β (95%CI) values of −0.022 (−0.037, −0.008) and −0.320 (−0.434, −0.207) respectively. Noise exposure was related to decreased levels of T4 and FT4, with β (95%CI) values of −0.102 (−0.166, −0.038) and −0.020 (−0.027, −0.013) respectively. Conclusion The TSH and thyroid hormone levels of coal miners are mostly within the normal reference ranges, with a low abnormality rate. Long work hours, night shift work, coal dust, and noise are associated with the levels of TSH and thyroid hormone levels in the male miners. Coal companies should reasonably arrange working hours, optimize the night shift scheduling system, and enhance protection against coal dust and noise to promote occupational health and safeguard the physical health of miners.

The tetraspanins are closely associated with the development and therapeutic prognosis of colorectal tumors. These proteins play a role in cell proliferation, metastasis, and invasion, regulate apoptosis and autophagy of colorectal tumor cells. affect immune escape by releasing exosomes, intervening the epithelial-mesenchymal transition process, and altering the tumor microenvironment, and enhance tumor stemness through specific pathways. This paper reviews the mechanisms and current research regarding the status of tetraspanins in colorectal cancer, aiming to improve early diagnosis and providing valuable insights for treatment strategies.

ObjectiveTo explore the medical experience of caregivers of adolescent depression. MethodsIn-depth interviews were conducted with 35 caregivers of hospitalized adolescents with depression undergoing treatment， to explore their experiences and feelings during their children’s medical treatment. The Colaizzi phenomenological seven-step analysis method was employed to summarize and extract themes. ResultsA total of five themes were extracted， including the transformation of attitude towards the disease from denial to acceptance； the treatment process failing to meet expectations； complex emotional experiences featuring the coexistence of hope and disappointment； negative feedback regarding communication with medical staff； difficulties in accessing medical services， and the expectation for more assistance. ConclusionCaregivers lack sufficient knowledge about the disease during their children’s medical-seeking process， the disease treatment process fails to meet expectations， and there is negative feedback regarding communication with medical staff. Overall， medical experience is complex， and current medical services still have deficiencies. It is urgent to pay attention to the medical experiences of caregivers， enhance their disease cognition， standardize the diagnosis and treatment process， improve the effect of doctor-patient communication， expand multi-channel medical-seeking methods， and further meet the needs of patients and caregivers.