ObjectiveTo explore the influencing factors of tumor regression patterns after neoadjuvant chemotherapy （NACT） in breast cancer， construct and validate a predictive model for tumor regression patterns. MethodsA total of 1 314 breast cancer patients who received NACT between March 1， 2019， and March 1， 2024， were selected as study subjects and randomly divided into a validation cohort （n=301） and a study cohort （n=603）. Within the study cohort， patients were further stratified based on post-NACT tumor regression patterns into a concentric regression group（case group）（n=387） and a non-concentric regression group（control group）（n=216）. General clinicopathological data were collected and compared between the two groups. Unconditional logistic regression was used to analyze the influencing factors of tumor regression patterns post-NACT and establish a predictive model. The Hosmer-Lemeshow test and receiver operating characteristic （ROC） curve were employed to evaluate the model's goodness-of-fit and predictive performance， followed by external validation. ResultsAmong all subjects in the study cohort， 174 patients （28.9%） achieved pathological complete response （pCR）， 213 （35.3%） showed unifocal regression， 92 （15.3%） had multifocal regression， 78 （12.9%） presented main residual lesions with satellite lesions， 43 （7.1%） had stable disease， and 3 （0.5%） experienced disease progression. Significant differences were observed between the two groups in age， estrogen receptor（ER）， progesterone receptor（PR）， Ki-67， human epidermal growth factor receptor 2（HER2）， histological grade， prognostic nutritional index（PNI）， and chemotherapy regimen （all P ＜ 0.05）. Logistic regression analysis revealed that age （OR=0.563， 95% CI： 0.358–0.885）， ER （OR=0.521， 95% CI： 0.350–0.773）， PR（OR=0.552， 95% CI： 0.379–0.806）， HER2（OR=3.729， 95% CI： 2.488–5.590）， Ki-67 （OR=1.804， 95% CI： 1.071–3.039）， PNI （OR=2.285， 95% CI： 1.307–3.997） and histological grade （Ⅲ） （OR=2.194 95% CI： 1.283–3.751） were independent influencing factors for concentric regression post-NACT （all P ＜ 0.05）. The Hosmer-Lemeshow test for the logistic regression model yielded a P-value of 0.927， and the area under the ROC curve was 0.731 （95%CI： 0.690-0.772， P ＜ 0.001）. External validation demonstrated that the area under the ROC curve of this prediction model was 0.764 （95% CI： 0.709–0.820， P＜0.001）， with a sensitivity of 75.0% and a specificity of 65.7%. The Youden's index was 0.407. ConclusionThis logistic regression model exhibits high predictive value and provides a reference for clinicians to predict tumor regression patterns in breast cancer patients after NACT.

There is a large gap between production and demand of plant oil in China, which leads to the heavy reliance on imports. Diacylglycerol acyltransferase (DGAT) and phospholipid: diacylglycerol acyltransferase (PDAT) are two key enzymes responsible for the synthesis of triacylglycerol, thereby affecting the yield and quality of plant oil. This paper comprehensively reviews the research progress in DGAT and PDAT in terms of their biological functions in plant oil synthesis, the molecular mechanisms of regulating plant lipid metabolism, growth, and development under stress, and their roles in driving oil synthesis under the background of synthetic biology. Furthermore, future research and application of DGAT and PDAT are prospected. This review aims to provide a basis for deeply understanding the molecular mechanism of plant oil synthesis and improving the quality and productivity of oil crops by the utilization of DGAT and PDAT genes.
Diacylglycerol O-Acyltransferase/physiology* ; Plant Oils/metabolism* ; Acyltransferases/metabolism* ; Lipid Metabolism/genetics* ; Gene Expression Regulation, Plant ; Triglycerides/biosynthesis*

BackgroundIn recent years， the prevalence of depression among adolescents has risen steadily， alongside an increasing prominence of non-suicidal self-injury （NSSI） behaviors in this population， which may elevate suicide risk and constitute a serious public health problem. Negative emotions such as anxiety and depression are closely related to NSSI behaviors. Previous studies have predominantly relied on retrospective reports， limiting the ability to dynamically capture temporal relationships between emotional fluctuations and NSSI behaviors. Moreover， cognitive behavioral therapy （CBT） often lacks targeted design to address proximal triggers in interventions for NSSI behaviors. ObjectiveTo verify that anxiety as a proximal trigger factor for NSSI behaviors in adolescent patients with depression， and to evaluate the efficacy of modified CBT integrated with ecological momentary assessment （EMA） data in alleviating their anxiety and self-injury urges. MethodsA prospective cohort study design was adopted. A total of 132 adolescent patients with a history of NSSI behaviors who were treated at Jiujiang Fifth People's Hospital from January to December 2024 and met the diagnostic criteria for depression in the Diagnosed and Statistical Manual of Mental Disorders， fifth edition （DSM-5）. A smartphone-based EMA application to conduct natural situation emotions on participants for 14 consecutive days. The monitoring period spanned from 10∶00 to 22∶00 daily， with randomized assessments pushed every 2 hours. The assessment tools included the Self-rating Anxiety Scale （SAS） and the negative affect subscale of the Positive and Negative Affect Schedule （PANAS）， with real-time recording of NSSI behaviors and emotional states before and after their occurrence. Repeated measures analysis of variance was used to compare the dynamic changes in the scores of each scale before and after the episodes of NSSI behaviors. A modified CBT was administered to 83 participants who completed EMA data collection， with sessions conducted once weekly for 12 weeks. Anxiety levels were accessed using the SAS， and the self-injury urges was evaluated using the Ottawa Self-injury Inventory （OSI） before and after the intervention. ResultsEMA data revealed that SAS scores were significantly higher during the 1-2 hours before NSSI episodes compared to baseline periods ［（56.19±11.06）vs.（52.83±10.25），P<0.01］. SAS scores were positively correlated with the NSSI behavioral scores （r=0.460，P<0.01，95% CI：0.310-0.580）. After receiving modified CBT intervention， adolescent patients with depression demonstrated statistically significant decreases in both SAS scores ［（52.30±8.10） vs.（48.70±7.30），t（82）=4.820，P<0.01，Cohen's d=0.420］ and the OSI self-injury impulse subcale scores ［（12.80±2.70） vs.（9.60±2.50），t（82）=5.170，P<0.01，Cohen's d=0.510］ compared to their pre-intervention levels. ConclusionAnxiety may serve as a proximal trigger for NSSI behaviors in adolescent patients with depression. Modified CBT integrating EMA data could potentially alleviate their anxiety level and self-injury urges. ［Funded by Science and Technology Plan Project of Jiangxi Provincial Health Commission （number， SKJP220227629）］

Objective To investigate the effects of cucurbitacin B (CucB) on alleviating skin lesions and inflammation in psoriasis mice via the cGAS-STING signaling pathway. Methods The expression of genes associated with the cGAS-STING signaling pathway in psoriatic lesions and non-lesional skin was analyzed, and hallmark gene set enrichment analysis was performed. The cytotoxicity of CucB on BMDMs was evaluated using the CCK-8 assay. The expression levels of genes and proteins related to the cGAS-STING signaling pathway, along with the secretion of inflammatory cytokines, were measured at different concentrations of CucB using quantitative PCR, Western blotting, and ELISA. Imiquimod-induced psoriasis BALB/c mice were divided into four groups: normal group, model group, low-dose CucB group [0.1 mg/ (kg.d)], and high-dose CucB group [0.4 mg/ (kg.d)], with five mice per group. PASI scoring was performed to assess the severity of psoriasis after 6 days of treatment, and HE staining was conducted to observe pathological damage. Meanwhile, the mRNA levels of inflammatory cytokines and their secretion were detected by qPCR and ELISA. Results Most cGAS-STING signaling-related genes were upregulated in lesional skin of psoriasis patients, and the hallmark gene set enrichment analysis revealed that the most significantly upregulated genes were primarily associated with immune response signaling pathways. CucB inhibited dsDNA-induced phosphorylation of interferon regulatory factor 3 (IRF3) and STING proteins in both bone-marrow derived macrophages(BMDMs) and THP-1 cells. CucB also suppressed dsDNA-induced mRNA expression of IFNB1, TNF, IFIT1, CXCL10, ISG15, and reduced the secretion of cytokines such as IFN-β, IL-1β, and TNF-α in THP-1 cells. In the imiquimod-induced psoriasis mouse model, CucB treatment reduced psoriatic symptoms, alleviated skin lesions, and attenuated inflammation. ELISA and qPCR results showed that CucB significantly reduced serum secretion levels of IL-6, TNF-α, and IL-1β, as well as the mRNA levels of IL23A, IL1B, IL6, TNF, and IFNB1. Conclusion CucB inhibits cytoplasmic DNA-induced activationc of the GAS-STING pathway. CucB significantly attenuates skin lesions and inflammation in IMQ-induced psoriatic mice, and the potential molecular mechanism may be related to the down-regulation of the cGAS-STING pathway.
Animals ; Psoriasis/pathology* ; Signal Transduction/drug effects* ; Membrane Proteins/genetics* ; Mice ; Nucleotidyltransferases/genetics* ; Disease Models, Animal ; Mice, Inbred BALB C ; Skin/metabolism* ; Triterpenes/therapeutic use* ; Humans ; Cytokines/metabolism* ; Inflammation/drug therapy* ; Male

BACKGROUND: High temperatures are known to be associated with an increased risk of self-harm, but the influence of demographic changes and country-level indicators on the burden of heat-related self-harm remains unclear. This study examined the key factors driving changes in self-harm mortality linked to high temperatures and explored their impact at the country level. METHODS: This is an ecological study that analyzes data from the 2021 Global Burden of Disease (GBD) study, the World Bank, and the Climate Research Unit (CRU) were analyzed. Decomposition analyses were used to identify key factors driving changes in high temperature-related self-harm mortality between 1990 and 2021. A panel data model assessed the impact of national indicators on heat-related self-harm mortality. RESULTS: In 2021, 14,885 deaths globally were attributed to heat-related self-harm, a 41.94% increase from 1990, with low-middle SDI regions accounting for 47.84% of these deaths. While the global death rate from heat-related self-harm declined slightly over this period, South Asia and low-middle SDI regions contributed most to the decline. However, population aging exacerbated mortality rates. Demographic and meteorological factors were also linked to heat-related self-harm. CONCLUSION The global decline in heat-related self-harm mortality is largely driven by reductions in females, low-middle SDI regions, and South Asia. However, population aging and growth in these regions have added to the mortality burden, slowing the overall decline. Factors such as population density are also associated with heat-related self-harm. Targeted measures are needed to mitigate heat-induced self-harm more effectively in future.
Humans ; Self-Injurious Behavior/etiology* ; Hot Temperature/adverse effects* ; Global Health/statistics & numerical data* ; Female ; Male ; Adult ; Middle Aged ; Aged ; Young Adult ; Adolescent

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

[Objective] To explore the feasibility of exemption from radiotherapy after breast-conserving surgery for hormone receptor-negative elderly breast cancer. [Methods] A total of 139 estrogen receptor (ER) and progesterone receptor (PR)-negative older adults with breast cancer who underwent breast-conserving surgery admitted to the Second Affiliated Hospital of Nanchang University from December 1, 2013 to December 1, 2018 were recruited as the subjects of the study, and were divided into a case group of 67 patients who did not undergo postoperative radiotherapy and a control group of 72 ones who underwent postoperative radiotherapy, according to whether they received postoperative radiotherapy or not. Clinicopathological data including age, tumor T stage, tumor N stage, tumor Nottingham grade, pathology type, human epidermal growth factor receptor 2 (HER2) expression status, and chemotherapy regimen were collected and compared between the two groups. The study analyzed the 5-year disease-free survival (DFS) and 5-year overall survival (OS) of two groups of patients. The log-rank test was used to compare the survival rate, and a multifactorial COX proportional hazards regression model was used to analyze the effect of exempted radiotherapy after breast-conserving surgery on DFS and OS of hormone receptor-negative elderly breast cancer mammary carcinoma. [Results] The two groups did not significantly differ in age, tumor T-stage, tumor N-stage, pathological type, tumor Nottingham grade, HER2 status, or chemotherapeutic regimen (all P>0.05). The 5-year DFS rate of 139 hormone receptor-negative elderly breast cancer cases was 74.1% and the 5-year OS rate was 83.5%. The difference in the 5-year DSF rate between the case group and the control group was statistically significant (65.7 vs. 81.9%, P=0.023), but the difference in the 5-year OS rate was not statistically significant (79.1% vs. 87.5%, P=0.186). The results of multifactorial COX proportional risk regression model analysis showed that exemption from radiotherapy after breast-conserving surgery was an independent risk factor for DFS (HR=2.298, 95% CI: 1.113-4.746, P=0.024), but not for OS (HR=1.831, 95% CI: 0.740-4.532, P=0.191). [Conclusion] Hormone receptor-negative elderly breast cancer according to exemption of radiotherapy after breast-conserving surgery has a higher local recurrence rate, but OS has no significant effect. Therefore, whether hormone receptor-negative elderly breast cancer can be exempted from radiotherapy after breast-conserving surgery still needs to be verified by further clinical trials.

Aim To investigate the effects of daidzeinDD on the proliferation and apoptosis of non-small cell lung cancer cells,with a focus on the possible role of the p53 signaling pathway in this regard. Methods CCK-8 method and flow cytometry were used to detect the effects of soy isoflavone crude extract and DD on the viability and apoptosis of HELF and H1299 cells. Gene microarray was used to detect the changes in gene expression after treatment of H1299 cells with DD. GSEA and differential analysis were used to screen the major pathways and key genes. RT-qPCR and Western blot were performed to verify the differences in mRNA and protein expression of key genesp53 and CASP9 in the major pathways. After p53 inhibitor Pifithrin-α inhibited the expression of p53,the effect of DD on p53 mRNA and protein expression levels was examined,and the proliferative effect on H1299 cells was observed. Results Soy isoflavone crude extract and DD promoted proliferation and inhibited apoptosis of normal lung cells and inhibited proliferation and promoted apoptosis of lung cancer cells. p53 signaling pathway was significantly enriched in the DD-treated groupNES=1.78,P=0.000,and the expressions of p53 and CASP9 genes were found to be significantly up-regulated in the treated group. Compared with the control group,mRNA expression of CASP9 and p53 significantly increased in both HELF and H1299 cells treated with DDP<0.05,and p53 protein expression also increased in HELF cellsP<0.05. After inhibition of p53 expression,DD significantly increased the mRNA expression of p53 in H1299 and HELF cellsP<0.05 and also markedly increased the expression of p53 protein in H1299 cellsP<0.05,and it was observed that DD inhibited the proliferation of lung cancer cells. Conclusions DD inhibits the proliferation and promotes the apoptosis of lung cancer H1299 cells,and the mechanism mainly involves the p53 signaling pathway.

ObjectiveTo investigate the risk factors and construct a predictive model for severe myelosuppression due to chemotherapy in triple negative breast cancer （TNBC）. MethodsPatients with TNBC who received anthracycline combined with cyclophosphamide sequential paclitaxel chemotherapy regimen at the Second Affiliated Hospital of Nanchang University from September 2， 2016 to September 2， 2021 were selected and assigned to severe myelosuppression group and no/mild myelosuppression group. The χ² test and binary logistic regression were used to analyze the risk factors for severe myelosuppression due to chemotherapy and to develop a prediction model. Hosmer-Lemeshow test and receiver operating characteristic （ROC） curve were used to evaluate the predictive efficiency of the regression model. Kappa consistency test was used to verify the regression model externally. ResultsA total of 207 patients who met the inclusion were enrolled and 106 patients （51%） had severe myelosuppression. Binary logistic regression multivariate analysis showed that age 40 to 60 years （OR = 3.463， 95% CI： 1.144 to 10.486， P = 0.028）， age >60 years （OR = 3.474， 95% CI： 1.004 to 12.020， P = 0.049）， body mass index （BMI） 18.5 to 24.0 （OR = 1.445， 95% CI： 0.686 to 3.087， P = 0.328）， BMI <18.5 （OR = 3.582， 95% CI： 1.260 to 10.182， P = 0.017）， tumor TNM stage Ⅱ （OR = 1.698， 95% CI： 0.831 to 3.468， P = 0.146）， tumor TNM stage Ⅲ （OR = 2.943， 95% CI： 1.199 to 7.227， P = 0.019）， previous diabetes （OR = 2.441， 95% CI： 1.076 to 5.539， P = 0.033）， low pre-treatment albumin level （OR = 2.759， 95% CI： 1.141 to 6.669， P = 0.024） and low pre-treatment lymphocytes （OR = 3.428， 95% CI： 1.689 to 6.958， P = 0.001） were independent risk factors for severe myelosuppression due to chemotherapy. The χ² value for the logistic regression model Hosmer-Lemeshow test was 11.507， P= 0.175， the area under the ROC curve was 0.763， standard error 0.033， 95% CI： 0.698-0.828， P=0.000. External validation showed that the prediction model had a specificity of 88% and a sensitivity of 80%； the kappa value was 0.679， standard error 0.081， P=0.000. conclusionThis logistic regression model had high predictive efficacy and is useful for clinicians to predict whether patients with TNBC develop severe myelosuppression.

【Objective】 To analyze the basic characteristics of whole blood donors from blood stations before and after the outbreak of COVID-19. 【Methods】 After excluding invalid data, data related to the basic characteristics of whole blood donors collected from 26 blood stations in China during 2018 to 2021 were statistically analyzed, including the trend of total whole blood donors, the number of repeated blood donors, the frequency of blood donation, the average age of donors and the recruitment of first-time blood donors. 【Results】 Affected by the epidemic, 8 out of 14 indicators were with large variations, accounting for 57%. The overall growth rate of total whole blood donors during the epidemic was higher than before the epidemic (P<0.05).The number of repeated blood donors has shown an increased trend, with a higher number during the epidemic than before (P<0.05). The frequency of blood donation was lower during the epidemic than before(P<0.05).Average ages of blood donors and female blood donors fluctuated widely during the epidemic, both higher than those before the epidemic(P<0.05).The donation rate of first-time blood donors <25 years old and ≥25 years old varied widely and irregularly during the epidemic (both P<0.05). The percentage of first-time blood donors fluctuated irregularly during the epidemic, with overall percentage lower than that before the epidemic(P<0.05). 【Conclusion】 Whole blood donors from 26 blood stations increased after the outbreak of COVID-19, and some indicators in certain areas showed significant fluctuations during the epidemic.