Objective: To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors. Methods: From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method. The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered. Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray s method (LTB) was used to analyze the relationship between these profiles and NSSI behavior. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%. Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n =353) and high efficacy group (40.9%, n =244); among females, regulatory emotional self-efficacy was classified into three categories: low efficacy group (18.4%, n =114), high positive expression-low negative management group (56.3%, n =349), and high efficacy group (25.3%, n =157). There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females ( Z/H = -5.75 , 57.58, both P <0.01). The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females ( χ 2=38.00, 69.14, both P <0.01), and among females, the differences in NSSI prevalence rates between the high efficacy group and the low efficacy group ( χ 2=60.01) and between the high efficacy group and the high positive expression-low negative management group ( χ 2=31.34) were also statistically significant (both P < 0.016 7 ). Binary Logistic regression analysis revealed that, compared with the high efficacy group within each gender, the moderate positive expression-low negative management group among males ( OR =2.36), and both the low efficacy group and the high positive expression-low negative management group among females ( OR =6.19, 2.97), were at an increased risk of engaging in NSSI (all P <0.01). Conclusion Different latent profiles of regulatory emotional self efficacy among junior and senior high school students are associated with NSSI behavior.

Colorectal cancer （CRC）， as a highly prevalent malignant tumor worldwide， continues to rank among the leading malignancies in both incidence and mortality. At present， the clinical treatment of CRC mainly relies on surgery， radiotherapy， chemotherapy， and drug therapy. However， due to individual differences among patients and the emergence of drug resistance in cancer cells， the postoperative recurrence rate remains high， significantly affecting patient prognosis. In recent years， traditional Chinese medicine （TCM） has attracted extensive attention in the field of tumor prevention and treatment because of its therapeutic advantages of multi-component， multi-target， multi-pathway， and holistic regulation. Aberrant activation of the Hedgehog signaling pathway is closely associated with the occurrence of various cancers. Studies have shown that the Hedgehog signaling pathway plays a key regulatory role in the occurrence and development of CRC. This pathway regulates the expression of downstream target genes through glioma-associated oncogene homolog （GLI） transcription factors and participates in biological processes such as tumor cell proliferation， apoptosis， invasion， and metastasis. It exerts anti- CRC effects through mechanisms including inducing apoptosis of CRC cells， inhibiting cancer cell proliferation， reversing drug resistance， and suppressing epithelial-mesenchymal transition （EMT）， thereby influencing the progression of CRC. This article systematically reviews the latest research progress in China and abroad and comprehensively discusses the molecular regulatory mechanisms of the Hedgehog signaling pathway in CRC. It particularly focuses on the specific mechanisms by which active components of Chinese medicine， such as alkaloids and terpenoids， and Chinese medicine compound formulas， such as Baitouwengtang and Zhizhenfang， exert anti-CRC effects by interfering with the Hedgehog-GLI signaling axis. By integrating and analyzing the molecular relationship between the Hedgehog signaling pathway and the pathological progression of CRC， and combining the TCM theories of "holistic concept" and "syndrome differentiation and treatment"， this article explores new TCM therapeutic strategies based on the Hedgehog signaling pathway， with the aim of providing innovative theoretical foundations and practical guidance for the prevention and treatment of CRC with TCM.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Environmentally-induced reproductive toxicity is one of the important causes of fertility declines and has become a significant global public health challenge.Elucidating the causal links between exposure to environmental hazards and reproductive damage,unraveling the underlying molecular mechanisms,and establishing precise reproductive injury assessment systems are crucial for development of targeted interventions and safeguarding human reproductive health.In this article,we systematically review the research progress on reproductive toxicity caused by emerging environmental chemical pollutants,common physical factors,and biological factors in the recent 3 years.We summarize the new technologies in the field of toxicology,including novel experimental models,exposomics,and artificial intelligence.We also discuss the potential research directions in risk assessment,prevention and intervention of environmental factors-induced reproductive damage.

Objective To analyze the detrimental effects of exposure to environmental noise alone and combined with carbon monoxide(CO)on spermatogenesis in male rats,investigate the underlying mechanisms involved in such damage,and evaluate the protective role of pterostilbene(PTE)against these adverse effects.Methods Sixty male SD rats(6～8 weeks old,weighing 200±10 g)were randomly divided normal control group(standard housing),sham-exposure control group(restraint stress only),noise exposure(85 dB),CO exposure(460 mg/m3),combined exposure(simultaneous exposure),and PTE intervention(80 mg/kg pretreatment),with 10 animals in each group.The rats were exposed daily for 2 h via a nose-only inhalation exposure system within a multifactorial environmental simulation chamber for 60 consecutive days.Sperm count and viability were measured after exposure.Histopathological changes of testicular tissues were observed with HE staining.qRT-PCR was used to measure stage-specific mRNA levels in germ cells.Serum sex hormone levels and adenosine triphosphate(ATP)concentrations in testes and sperm were detected.Transmission electron microscopy(TEM)was applied to observe the ultrastructural damage in the spermatocytes.Additionally,transcriptome sequencing was performed on testicular tissue,followed by bioinformatics analysis.Results Compared with the negative control group,the combined exposure group exhibited significant reductions in sperm viability and count(P<0.05),and developmental arrest of immature germ cells in the testicular tissue,with obviously less spermatogonia,spermatocytes,and round/elongated spermatids(P<0.01).Additionally,significantly reduced levels of reproductive-related hormones,such as gonadotropin-releasing hormone,follicle-stimulating hormone,luteinizing hormone and testosterone,and ATP levels in testes and sperm were observed in the mice after combined exposure(P<0.01),accompanied by mitochondrial rupture and cristae disruption in spermatocytes.Conversely,the PTE intervention group showed marked alleviation of these impairments,with parameters recovering almost to normal levels.Transcriptome sequencing identified biological processes related to reproductive development and ATP-dependent pathways as potential contributors to testicular injury induced by noise and CO exposure,with key genes including Nppa,Adm,Gnrh1,Ptafr,Atp13a5,Atp8b1,and LOC102555469.Conclusion Noise and CO exposure induce spermatogenic damage in rats,which may be related with energy metabolism and hormonal regulation,while PTE demonstrates significant protective effects against such reproductive impairments.

Objective To investigate the transgenerational effects of paternal PM2.5 exposure on offspring growth and development,and to preliminarily elucidate the role of sperm DNA methylation modifications in mediating these effects.Methods Eight-week-old male C57BL/6 mice were randomly divided into filtered air(FA),unfiltered air(UA),and concentrated PM2.5(CAP)groups,with 10 animals in each group.The exposure was conducted from November 2019 to April 2020,and then,these male mice were mated with unexposed females to generate F1 offspring,which were bred successively to produce F2 and F3 generations.All the offspring were living in PM2.5-free environment.The birth body weight,birth number,and sex ratio of the offspring were recorded,body weight growth was monitored,and organ coefficients of the heart,liver,lung,and brain were calculated.Whole-genome methylation sequencing was performed on the sperm DNA of the CAP group,FA group,and their F1 generation offspring to screen for differentially methylated regions,and the genes and pathways associated with these regions were analyzed.Results When compared with the F1～F3 offspring of the FA group,the CAP group had significantly reduced birth body weight in the F1 generation(P<0.05),no statistical differences were observed in the birth body weight in the F2 and F3 generations(P>0.05),or either in the sex ratio and birth number among the F1,F2 and F3 generations.Compared with the FA group offspring,the F1～F3 offspring of CAP group exhibited delayed body weight gain,especially in the males(P<0.05),the CAP-F1 male generation had obviously elevated liver organ coefficient(P<0.01),but no statistical changes were observed in the heart,lung,or brain coefficients among the F1～F3 generations.Between the FA group and the CAP group,37 997 differentially methylated regions were detected,with a reduction of approximately 50%in the number of differentially methylated regions in the F1 generation.Differentially methylated genes in F0 and F1 sperm were potentially related to developmental processes,including imprinting genes(Gnas,Igf2)and metabolic genes(Ppard,Rps6kb1).Conclusion Paternal exposure to PM2.5 leads to reduced birth weight and intergenerational growth retardation in offspring.Its impact on phenotypic effects is gradually weakened during intergenerational transmission.Changes in the methylation of development-related genes in sperm may be one of the mechanisms mediating this intergenerational effect.

Inflammatory peripheral neuropathy,also known as immune-mediated peripheral neuropathy,is a rare group of heterogeneous peripheral neuropathy characterized by dysfunction and damage to different structures of the peripheral nerves,including Guillain-Barre syndrome,chronic demyelinating inflammatory polyradiculopathy,autoimmune neuropathy,multifocal motor neuropathy or neuropathy related to monoclonal gamma globulinopathy,etc.The causes of these diseases remain unclear,but B cells and autoantibodies play a key role in their pathogenesis.This group of diseases can be classified as having acute or chronic onset based on the mode of onset.Clinically,it can present as a unipolar course,recurrent or progressive course.Severe inflammatory peripheral neuropathy can lead to flaccid paralysis of the limbs,with a high risk of severe disability and death.With the rapid progress of various studies in the field of neuroimmunological diseases in recent years,the therapeutic tar-gets/methods for immune-mediated peripheral neuropathy have also presented a flourishing situation.The latest progress at home and abroad is summarized as follows.

Objective:To analyze the trend of colorectal cancer incidence and age changes in cancer registration areas of Jiangsu Province from 2009 to 2019.Methods:Based on the continuous and complete data of 16 cancer registries with qualified quality control in Jiangsu Province from 2009 to 2019, the crude incidence rate, age-standardized incidence rate by Segi World Standard Population (ASIRW), age-specific incidence rate, mean age at onset, standardized mean age at onset, standardized age-specific incidence proportion, and incidence proportion of the population over 60 years old of colorectal cancer were calculated. Joinpoint software was used to calculate the average annual percentage change (AAPC) of crude incidence rate, ASIRW, age-specific incidence rate, and incidence proportion of the population over 60 years, respectively. Birth cohort models were constructed to analyze the incidence of colorectal cancer and its trends in the population born from 1929 to 2019. Linear regression models were used to analyze the correlation between mean age at onset, standardized mean age at onset and the year of onset.Results:From 2009 to 2019, a total of 48 036 new cases of colorectal cancer were collected from 16 cancer registries in Jiangsu Province, including 27 508 males and 20 528 females. The crude incidence rate and ASIRW of colorectal cancer in Jiangsu Province increased from 19.00/100 000 and 12.32/100 000 in 2009 to 33.49/100 000 and 16.75/100 000 in 2019, respectively, showing a significant upward trend (CR: AAPC=5.99%, ASIRW: AAPC=3.54%, P<0.001). The increase of ASIRW was greater in males than that observed in females (males: AAPC=4.31%, females: AAPC=2.34%, P<0.001), and greater in rural areas than in urban areas (rural areas: AAPC=4.03%, urban areas: AAPC=3.13%, P<0.001). The incidence of people over 50 years old increased significantly by year, with the 60~69 age group exhibiting a more rapid increase ( AAPC=4.97%, P<0.05). In the birth cohort, the incidence increased rapidly in the population over 50 years with the passage of birth year, with AAPCs ranging from 1.76% to 7.05% ( P<0.05). From 2009 to 2019, the standardized mean age at onset of colorectal cancer increased by 0.10 years annually. The proportion of standardized age-specific incidence exhibited a trend of increase in older age groups, and the incidence proportion of the population over 60 years old showed a significant yearly increase ( AAPC=0.86%, P<0.001). Conclusion:From 2009 to 2019, the incidence, mean age at onset and the incidence proportion of the population over 60 years old of colorectal cancer in Jiangsu Province could exhibit a rapid upward trend. The increase is particularly pronounced in males and rural areas. Additionally, the age-specific incidence distribution reveals a trend of increase in older age groups. Therefore, targeted adjustments and comprehensive prevention measures should be strengthened.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective To explore the correlation between triglyceride-glucose(TyG)index and hyperuricemia in men with normal fasting blood glucose(FPG)levels.Methods A total of 309 men with normal FPG who participated in a health examination at the Ninth Medical Center of the People's Liberation Army General Hospital in April 2024 were enrolled in this study.All the subjects were divided into the normal uric acid(NUA,n=218)group and the hyperuricemia(HUA,n=91)group according to serum uric acid(SUA)levels.Results Scr,TG,weight,SBP,DBP,BMI,ALT,AST,γ-GGT,and TyG index were higher in the HUA group than in the NUA group(P<0.05).Pearson and Spearman correlation analysis showed that SUA were positively correlated with Scr,eGFR,TG,weight,SBP,DBP,BMI,ALT,AST,γ-GGT and TyG(P<0.05),and negatively correlated with HDL-C(P<0.05).Logistic regression analysis showed that after adjusting for confounding factors,TyG index remained an important influencing factor for HUA.ROC curve analysis showed that the area under the ROC curve of TyG index predicting hyperuricemia in men with normal FPG was 0.665,with an cutoff value of 8.45.Conclusions TyG index in men with normal FPG are influencing factors for hyperuricemia,indicating that hyperuricemia has a close association with insulin resistance,and is an important component of metabolic syndrome.