Objective: To analyze the implementation status and challenges of sex education in special education schools, so as to provide a scientific basis for formulating effective promotion strategies. Methods: From November 2023 to January 2024, a census survey was conducted among 120 in service teachers from 7 special education schools in Luzhou. The questionnaire covered the current status of sex education in schools, teachers attitudes and knowledge toward sex education, and their coping methods for students inappropriate sexual behaviors. Results: About 77.5% of teachers reported having provided sex education to students, but 93.2% indicated a lack of specialized sex education textbooks for special children, 90.4% reported no full time teachers for sex education, and the methods of sex education were relatively limited (50.0% mainly based on lecture method). Nearly 95.8% of teachers held a positive attitude toward sex education, with 98.3% supporting its implementation. Only 26.7% of teachers demonstrated a good grasp of sex education knowledge, with the best understood topic being "recognition and protection of private parts" (21.6%). When dealing with students inappropriate sexual behaviors, the active response rate of teachers was 23.9%, with the highest active response rate observed for "intentionally hugging or kissing the opposite sex" (39.7%). Conclusions The special education schools in Luzhou lack comprehensive sex education curricula, teaching materials and full time teachers, sufficient knowledge among teachers, and adequate proactive responses to students inappropriate sexual behaviors. Greater emphasis should be placed on sex education for special children, including the training of dedicated teachers, to provide comprehensive and high quality sex education services for special children.

The cellular and molecular components of the tumor immune microenvironment (TIME) and their information exchange processes significantly influence the trends of anti-tumor immunity. In recent years, numerous studies have begun to evaluate TIME in the context of previous cancer treatment strategies. This review will systematically summarize the compositional characteristics of TIME and, based on this foundation, explore the impact of current cancer therapies on the remodeling of TIME, aiming to provide new insights for the development of innovative immune combination therapies that can convert TIME into an anti-tumor profile.
Tumor Microenvironment/immunology* ; Humans ; Neoplasms/therapy* ; Immunotherapy/methods* ; Animals

ObjectiveTo explore the law of women reproductive aging based on theory of "seven-year period" in traditional Chinese medicine（TCM） through analyzing the characteristics of basic sex hormone levels and anti-müllerian hormone levels in women of different ages. MethodsThe data of female who visited Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2018 to December 2022 and accepted basic hormone and anti-müllerian hormone determination were collected retrospectively. According to the age of subjects， they were divided into the "1-2 seven" group （under 21 years old）， "3 seven" group （21-27 years old）， "4 seven" group （28-34 years old）， "5 seven" group （35-41 years old）， "6 seven" group （42-48 years old） and "7 seven" and older group （49 years old and above）. The age， average menstrual cycle in the past 3 months， basic hormone levels including follicle stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， testosterone （T） and FSH/LH value， and anti-müllerian hormone （AMH） levels were collected and compared. ResultsA total of 1221 cases were included. The differences in FSH， LH， FSH/LH values， E₂， T， AMH levels and average menstrual cycle among the groups were statistically significant （P＜0.05 or P＜0.01）. AMH peaked in the "3 seven" group. Compared to those in the "3 seven" group， the FSH/LH value in the "4 seven" group increased， while the LH， AMH and T levels decreased， and the menstrual cycle was shortened （P＜0.01）. The FSH/LH， LH， AMH， T and menstrual cycle in the "5 seven" group were consistent with the changing trend of those in the "4 seven" group， while the FSH and E₂ levels in the "5 seven" group were significantly higher （P＜0.05 or P＜0.01）. Compared to those in the "5 seven" group， the FSH， LH and E₂ levels of the "6 seven" group increased， and the AMH and T levels continued to decrease （P＜0.05 or P＜0.01）. Compared to those in the "6 seven" group， the FSH and LH levels of the "7 seven" and older group continued to increase， and the AMH and E₂ levels decreased （P＜0.01）. ConclusionThe law of women reproductive aging in the "seven-year period" theory is basically consistent with the characteristics of basic sex hormone levels and anti-müllerian hormone levels in women of different ages. The reproductive capacity reaches its peak in the "three-seven-year period" and gradually moves towards reproductive aging in the "four-seven-year period".

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Biotoxins, which include bacterial, fungal, marine, plant, and animal toxins, are widespread in living and occupational environments, posing potential threats to human health. Rapid detection of biotoxins in blood is crucial for preventing health hazards and enabling timely disease diagnosis and treatment. Biosensors and immunoassay technologies have critical advantages in the rapid detection of biotoxins in blood. Common biosensors, such as surface plasmon resonance biosensors and fluorescent biosensors, enhance sensitivity and reduce detection limits through signal amplification. Common immunoassay methods, such as colloidal gold immunochromatography, fluorescence immunochromatography, and chemiluminescence immunoassay, improve detection efficacy and sensitivity through specific antibody-antigen binding and nanotechnology. However, current rapid detection technologies of bitoxins in blood face challenges such as matrix interference and insufficient specificity, and they fall short in high-throughput detection of multiple toxins simultaneously. Future developments should focus on improving sample pretreatment, innovating signal amplification methods, enhancing specificity on recognition of elements, and designing portable detection devices and high-throughput platforms for simultaneous toxin analysis. These advancements aim to improve the sensitivity and reliability of detection methods, providing more accurate and convenient solutions for biotoxin detection in blood.

Purpose To explore the clinical value of quantitative assessment of renal perfusion using ultrasound contrast imaging for the auxiliary diagnosis of type 2 diabetic nephropathy.Materials and Methods This prospective study was conducted from May 2017 to December 2019 at the First Medical Center of Chinese PLA General Hospital.A total of 41 patients with type 2 diabetes and renal function abnormalities,who were scheduled for renal biopsy,underwent contrast-enhanced ultrasound.Differences in contrast imaging parameters,including time to peak in the renal cortex,peak enhancement,mean transit time local,and area under the curve between diabetic nephropathy and focal segmental glomerulosclerosis were compared,and the correlation between imaging parameters and pathological results was analyzed.Results Among 41 patients,30 cases were diagnosed as diabetic nephropathy,and 11 cases were diagnosed as focal segmental glomerulosclerosis.The peak enhancement and area under the curve in the diabetic nephropathy group were significantly lower than those in the focal segmental glomerulosclerosis group[peak enhancement:3 837.16(2 449.16,5 929.16)vs.8 508.00(4 334.88,21 201.00),Z=-2.766,P=0.006;area under the curve:0.14±0.05 vs.0.19±0.05,t=-3.135,P=0.003].In the diabetic nephropathy group,peak enhancement showed a negative correlation with the global glomerulosclerosis rate(r=-0.489,P=0.006).Conclusion Contrast-enhanced ultrasound can quantitatively evaluate renal perfusion and has certain clinical value in assisting the diagnosis of type 2 diabetic nephropathy.

As an important part of the enteric nervous system(ENS),enteric glial cells(EGCs)play an important role in regulating intestinal homeostasis and maintaining intestinal health in hu-mans and animals.This review focuses on the role of EGCs in maintaining intestinal barrier homeo-stasis,maintaining gastrointestinal transit and motor function,regulating the niche of intestinal cells,and the role in the occurrence and development of intestinal diseases,hoping to provide new ideas for further research on the function and mechanism of EGCs in the intestine and the occur-rence,development and treatment of related intestinal diseases.

Objective : To evaluate the clinical effect of enamel matrix derivative(EMD) assisted with connective tissue graft(CTG) in the treatment of gingival recession. Methods : Search The Cochrane Library, PubMed, EMbase, Web of Science, Wanfang Public Database,VIP database and CNKI to search for randomized controlled trials of EMD in the treatment of gingival recession. The search period is from the establishment of the databases to October 3, 2022. The test group was treated with EMD+CTG, while the control group was treated with CTG alone. Meta-analyses were performed using Review Manager 5.4.1 and Stat12.0. Results: Meta analysis results showed that only 12 months after treatment, there was a statistically significant difference in the PD and CAL outcome indicators between the EMD assisted treatment group and the control group [MDPD=-0.10, 95% CI (-0.19, -0.01), P = 0.03], [MDCAL=-0.38, 95% CI(-0.71, -0.04), P = 0.03]. There was no significant difference between the test group and the control group in other indicators. Conclusion EMD assisted CTG in the treatment of gingival recession may be beneficial to the reduction of PD and CAL.

The anterior disc displacement (ADD) leads to temporomandibular joint osteoarthritis (TMJOA) and mandibular growth retardation in adolescents. To investigate the potential functional role of fibrocartilage stem cells (FCSCs) during the process, a surgical ADD-TMJOA mouse model was established. From 1 week after model generation, ADD mice exhibited aggravated mandibular growth retardation with osteoarthritis (OA)-like joint cartilage degeneration, manifesting with impaired chondrogenic differentiation and loss of subchondral bone homeostasis. Lineage tracing using Gli1-CreER⁺; Tm^fl/-mice and Sox9-CreER⁺;Tm^fl/-mice showed that ADD interfered with the chondrogenic capacity of Gli1⁺ FCSCs as well as osteogenic differentiation of Sox9⁺ lineage, mainly in the middle zone of TMJ cartilage. Then, a surgically induced disc reposition (DR) mouse model was generated. The inhibited FCSCs capacity was significantly alleviated by DR treatment in ADD mice. And both the ADD mice and adolescent ADD patients had significantly relieved OA phenotype and improved condylar growth after DR treatment. In conclusion, ADD-TMJOA leads to impaired chondrogenic progenitor capacity and osteogenesis differentiation of FCSCs lineage, resulting in cartilage degeneration and loss of subchondral bone homeostasis, finally causing TMJ growth retardation. DR at an early stage could significantly alleviate cartilage degeneration and restore TMJ cartilage growth potential.
Animals ; Mice ; Osteogenesis ; Zinc Finger Protein GLI1 ; Fibrocartilage ; Temporomandibular Joint ; Disease Models, Animal ; Osteoarthritis ; Stem Cells ; Growth Disorders

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress