Objective: To explore the relationship between parenting styles and depressive symptoms in adolescents with nightmare disorder, so as to provide a scientific basis for formulating effective family intervention measures and psychological counseling. Methods: From January 2023 to August 2024, 90 adolescents diagnosed with nightmare disorder and admitted to Hangzhou Seventh Peoples Hospital, along with 176 healthy controls from the urban areas of Hangzhou, were recruited as participants in the study. All participants were assessed using the Nightmare Experience Questionnaire (NEQ), Family Relationship Questionnaire (FRQ), and Plutchik-van Praag Selfreport Depression Scale (PVP). The ttest and Chisquare test were conducted to compare two groups. Pearson correlation and stepwise multiple linear regression were employed to explore the correlations between PVP and NEQ or FRQ. The Process model was used to testing the mediating effects among NEQ/FRQ/PVP. Results: The nightmare disorder group had higher scores in nightmare frequency, the four factors of NEQ (physical effect, negative emotion, meaning interpretation, horrible stimulation), and PVP than the healthy control group (24.86±18.89, 10.12±3.67, 19.01±3.51, 17.02±3.31, 15.14±3.26, 14.02±4.38; 2.34±1.04, 6.49±2.18, 17.63±4.76, 13.91±4.24, 12.40±4.49, 9.39±3.28)(t=15.79, 10.11, 2.43, 6.09, 5.14, 27.46, P<0.05). The nightmare disorder group reported significantly lower scores in FRQ general attachment and maternal encouragement than the healthy control group (7.22±2.81, 16.39±3.28) (t=-5.53, -4.95). In contrast, they exhibited significantly higher scores in maternal abuse, maternal dominance, paternal freedom release, and paternal dominance than the healthy control group (8.23±1.80, 13.11±3.73, 18.36±3.37, 12.04±3.29; 6.07±1.85, 8.48±3.80, 15.15±2.51, 9.47±3.03) (t=6.70, 8.96, 5.90, 7.04, P<0.01). The results of Pearson correlation analysis showed that, in the nightmare disorder group, the PVP score was positively correlated with negative emotion, nightmare frequency, maternal abuse, and maternal dominance score (r=0.14, 0.63, 0.26, 0.51, P<0.05). The results of multiple linear regression analysis showed that when using FRQ score to predict NEQ score, the adjusted R2 in the nightmare disorder group was 0.01-0.59. Mother abuse could prediced physical effect (β=0.33); maternal dominance significantly predicted negative emotion, horrible stimulation, and nightmare frequency (β=0.29, 0.30, 0.79); paternal freedom release could predict negative emotion (β=0.26), paternal dominance predicted both negative emotion and nightmare frequency (β=0.22, 0.45) (P<0.05). Mediation analysis further revealed that, in the nightmare disorder group, PVP scores served as a mediating variable between FRQ and NEQ. Conclusion Abusive, controlling, and neglectful family upbringing styles as well as depression maybe are key factors that may contribute to the development of nightmare disorder among adolescents.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Background The widespread use of herbicides has led to environmental contamination and has implications for human health. The liver is an important organ for the detoxification of environmental pollutants; however, studies on the association between herbicide exposure and liver function are limited. Objectives To investigate the association between baseline serum herbicide levels and changes in liver enzyme levels and liver enzyme abnormalities over a 5-year period in middle-aged and older adults. Methods This study was based on a nested case-control population of type 2 diabetes established in the Dongfeng-Tongji cohort, with a total of 1388 subjects included in this study and followed up for 5 years. Epidemiological data were collected through questionnaires, and baseline serum concentrations of three herbicides (metolachlor, propham, and acetochlor) were measured by gas chromatography-triple quadrupole mass spectrometry. Serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were detected at baseline and follow-up visits. The associations between baseline serum herbicide levels and changes in AST and ALT over 5 years were assessed using linear regression models with herbicide levels categorized into quartiles, adjusting for age, sex, education level, smoking status, drinking status, physical activity, body mass index, and new-onset type 2 diabetes occurred during follow-up. The relationship between baseline serum herbicide levels and the risk of liver enzyme abnormalities during follow-up was further analyzed using logistic regression models. Results The positive rates of metolachlor, propham, and acetochlor were all higher than 80%, and their spiked rates of recovery ranged from 73.46% to 106.77%. The mean ± standard deviation of the age of subjects at baseline was (62.7±7.6) years, with 34.1% being male. The median serum levels of metolachlor, propham, and acetochlor at baseline were 0.05, 0.16, and 0.03 ng·mL⁻¹, respectively. There was no significant difference in baseline serum herbicide levels between the normal and abnormal liver enzyme groups at follow-up (P >0.05). The baseline liver enzyme levels and the changes in AST and ALT over 5 years in those who developed abnormal liver enzymes were significantly higher than those in the normal liver enzyme group (P <0.05). The linear regression analysis showed that the changes in AST increased progressively over 5 years in the second, third, and fourth quartiles of propham compared to the lowest quartile group (the second quartile: b=1.49, 95%CI: 0.10, 2.87; the third quartile: b=1.52, 95%CI: 0.14, 2.90; the fourth quartile: b=1.69, 95%CI: 0.31, 3.08; P <0.05). The associations of serum metolachlor and acetochlor with changes in AST were not significant. Additionally, no significant relationships were found between the three serum herbicides and the changes in ALT over 5 years or the risk of liver enzyme abnormalities. Conclusion Serum propham levels in middle-aged and older adults are positively associated with changes in liver enzyme AST, which may have an effect on liver function. More studies are needed to provide scientific evidence for the association between herbicide exposure and liver function.

Objective To investigate the short- and long-term prognoses and the risk factors affecting “textbook outcome” (TO) after laparoscopic pancreaticoduodenectomy (LPD) for pancreatic ductal adenocarcinoma (PDAC). Methods The clinical and follow-up data of patients diagnosed with PDAC and treated with LPD from January 2019 to December 2022 were retrospectively analyzed. The prognosis was compared between TO and non-TO groups, and univariate and multivariate logistic regression analyses were used to identify independent prognostic factors for TO. Results A total of 284 patients were enrolled in this study, including 185 cases in the TO group and 99 cases in the non-TO group. The 1-, 3- and 5-year overall survival (OS) rates of the TO and non-TO groups with PDAC were 87.3% vs. 85.9%, 52.5% vs. 38.4%, and 18.0% vs. 4.5%, respectively (P=0.020); the recurrence-free survival (RFS) rates were 74.1% vs. 65.7%, 27.1% vs. 21.0%, and 10.0% vs. 0%, respectively (P=0.042). Multivariate logistic regression analysis showed that operation time >360 min (OR=0.561, 95%CI: 0.321-0.979, P=0.042), intraoperative blood loss >400 ml (OR=0.392, 95%CI: 0.175-0.879, P=0.023), hard or tough texture of pancreas (OR=2.240, 95%CI: 1.247-4.022, P=0.007), and main pancreatic duct diameter >3 mm (OR=1.931, 95%CI: 1.126-3.312, P=0.017) were independent prognostic factors for TO. Conclusion After the learning curve, more than 60% of patients with PDAC can achieve TO after LPD. The chances of achieving TO are significantly reduced when the operation time >360 min, the intraoperative blood loss >400 ml, the texture of pancreas was soft, and the diameter of the main pancreatic duct >3 mm.

Objective To observe the therapeutic effects and mechanisms of Guanyuan Mingmen Sequential Acupuncture on rats with premature ovarian insufficiency(POI)model.Methods Female SD rats were divided into the blank group,the model group,the protein kinase A(PKA)inhibitor(H89)+acupuncture group,and the acupuncture group,with 12 rats in each group.Except for the blank group,the POI model was prepared by gavage with Tripterygium Glycosides Tablets in the other three groups of rats.After the model was successfully established,the blank group and the model group were bundled once a day;in the acupuncture group,Guanyuan(RN4)point was taken during the intermotility period,and in the pre-motility period,Mingmen(DU4)point was taken;in the H89+acupuncture group,the intervention was performed in accordance with the acupuncture protocol of the acupuncture group,and H89 was injected intraperitoneally for 30 minutes prior to each acupuncture session.Continuous intervention was performed for 20 days.Samples were taken from each group of rats in the first estrus period and in proestrus period after intervention.Enzyme-linked immunosorbent assay(ELISA)was used to measure the levels of follicle stimulating hormone(FSH)and estradiol(E2)during the estrous phase,Western Blot was used to measure the protein expressions of follicle stimulating hormone receptor(FSHR)and aromatase P450(P450arom)during the estrous phase,and the activity of granulocytes during the estrous phase and the proestrus phase were measured using the cell-counting kit 8(CCK-8)method.The immunohistochemistry method was used to detect the protein expression of pre-motility proliferating cell nuclear antigen(PCNA).Results(1)Compared with the blank group,the serum FSH level of the model group and H89+acupuncture group was significantly increased(P＜0.01),and the E2 level was significantly decreased(P＜0.001);there was no difference between the FSH level of the H89+acupuncture group and that of the model group(P＞0.05),and the E2 level of the H89+acupuncture group was lower than that of the model group(P＜0.05);the FSH level of the acupuncture group was lower than that of the model group and that of the H89+acupuncture group(P＜0.05),had no difference with the blank group(P＞0.05),E2 level was significantly higher than the model group and H89+ acupuncture group(P＜0.01),still being lower than the blank group(P＜0.05).(2)The protein expressions of FSHR and P450arom in the model group and H89 + acupuncture group was lower than those in the blank group;the protein expression of FSHR in the H89 + acupuncture group was not different from that in the model group(P＞0.05),while the protein expression level of P450arom was lower than that in the model group(P＜0.05);the protein expression levels of FSHR and P450arom in the acupuncture group were higher than those in the model group and H89 + acupuncture group,but still lower than those in the blank group(P＜0.05).(3)Both GCs activity and average optical density value of PCNA in the model group and H89+acupuncture group were lower than the blank group(P＜0.05);both GCs activity and average optical density value of PCNA in the H89+acupuncture group were lower than the model group(P＜0.05);the activity of GCs and average optical density value of PCNA of the acupuncture group were significantly higher than that of the model group and H89+acupuncture group(P＜0.05 or P＜0.01).Conclusion Guanyuan Mingmen Sequential Acupuncture can regulate sex hormone levels,increase GCs activity and promote GCs cell proliferation by up-regulating protein expressions of follicle stimulating hormone receptor(FSHR)/cyclic adenosine monophosphate(cAMP)/protein kinase A(PKA)pathway FSHR,P450arom,thus improving POI.

Tumors continue to be a major challenge in human survival that we have yet to overcome. Despite the variety of treatment options available, we have not yet found an effective method. As more and more research is conducted, attention has been turned to a new field for tumor treatment—the tumor microenvironment (TME). This is a dynamic and complex environment consisting of various matrix cells surrounding cancer cells, including surrounding immune cells, blood vessels, extracellular matrix, fibroblasts, bone marrow-derived inflammatory cells, signaling molecules, and some specific cell types. Firstly, endothelial cells play a key role in tumor development and the immune system’s protection of tumor cells. Secondly, immune cells, such as macrophages, Treg cells, Th17 cells, are widely involved in various immune responses and activities in the human body, such as inflammation responses promoting survival carefully orchestrated by the tumor. Even though many studies have extensively researched the TME and found many research schemes, so far, no key effective method has been found to treat tumors by affecting the TME. The TME is a key interaction area between the host immune system and the tumor. Cells within the TME influence each other and interact with cancer cells to affect cancer cell invasion, tumor growth, and metastasis. This is a new direction for cancer treatment. In the complex environment of the TME, post-translational modifications (PTMs) of proteins have been proven to play an important role in the TME. PTMs are dynamic, strictly regulated changes to proteins that control their function by regulating their structure, spatial location, and interaction. Among PTMs, a reversible post-translational modification called SUMOylation is a common regulatory mechanism in cellular processes. It is a post-translational modification that targets lysine residues with a small ubiquitin-like modifier (SUMO) in a reversible post-translational modification manner. SUMOylation is widely involved in carcinogenesis, DNA damage response, cancer cell proliferation, metastasis, and apoptosis, playing a pivotal role in the TME, such as DNA damage repair, tumor metastasis, and also participates in immune cell differentiation, activation, and inhibition of immune cells. On the other hand, SUMO or sentrin-specific protease (SENP) inhibitors can interfere with the SUMOylation process, thereby affecting many biological processes, including immune response, carcinogenesis, cell cycle progression, and cell apoptosis, etc. In summary, this review aims to introduce the dynamic modification of protein SUMOylation on various immune cells and the application of various inhibitors, thereby exploring its role in the TME. This is a challenging but hopeful field, and we look forward to future research that can bring more breakthroughs. In conclusion, the TME is a complex and dynamic environment that plays a crucial role in the development and progression of tumors. Understanding the intricate interactions within the TME and the role of PTMs, particularly SUMOylation, could provide valuable insights into the mechanisms of tumor development and potentially lead to the development of novel therapeutic strategies. The study of SUMOylation and its effects on various immune cells in the TME is an exciting and promising area of research that could significantly advance our understanding of tumor biology and potentially lead to the development of more effective treatments for cancer. This is a challenging but hopeful field, and we look forward to future research that can bring more breakthroughs.