OBJECTIVE To investigate the effect of Curcumol on lipid metabolism in non-small cell lung cancer(NSCLC)and its related molecular mechanism.METHODS A nude mouse xenograft tumor model was established,and Curcumol was administered for 14 d.The volume and weight of subcutaneous tumors were recorded.Hematoxylin-eosin(HE)and immunohistochemical staining were used to observe the pathological morphology of tumor tissues and organs,as well as the expression levels of Ki67 protein.Bio-chemical kits were used to detect the levels of lipids in tumor tissues.Western blot was used to detect the expression levels of SREBP-1,FASN,and EGFR proteins in tumor tissues.The qPCR and immunofluorescence were used to detect the expression of SREBP-1 in tumor tissues.Curcumol was used to treat human NSCLC cell line A549 and A549 cells overexpressing SREBP-1.The EdU assay was used to detect the proliferation ability of lung cancer cells;the MTT colorimetric method was used to detect cell viability;the Transwell assay was used to detect tumor cell migration and invasion;flow cytometry was used to detect cell apoptosis;biochemical kits were used to detect lipid levels in cells;and Western blot was used to detect the expression levels of SREBP-1,FASN,and EGFR proteins.RE-SULTS In the in vivo experiment,compared with the control group,Curcumol significantly inhibited the growth of subcutaneous xen-ografts,inhibited tumor cell proliferation(P<0.05,P<0.01),reduced the levels of triglycerides(TG),total cholesterol(T-CHO),and free fatty acids(FFA)in tumor tissues(P<0.05,P<0.01),downregulated the expression of SREBP-1,FASN,and p-EGFR pro-teins(P<0.01),and inhibited the expression of SREBP-1 mRNA in tumor tissues(P<0.05,P<0.01).In the in vitro experiment,compared with the control group,Curcumol significantly inhibited the proliferation,migration,and invasion of A549 cells,reduced cell viability(P<0.05,P<0.01),promoted tumor cell apoptosis(P<0.01),downregulated the levels of FFA,T-CHO,and TG in A549 cells(P<0.05,P<0.01),and inhibited the expression of SREBP-1,FASN,and p-EGFR proteins(P<0.05,P<0.01).Additionally,overexpression of SREBP-1 antagonized the inhibitory effects of Curcumol on lipid synthesis and EGFR activation,and weakened the inhibitory effects of Curcumolc on tumor cells.CONCLUSION Curcumol inhibits the expression levels of SREBP-1 and FASN,re-duces lipid synthesis,blocks EGFR signal transduction,and slows down the occurrence and development of NSCLC.

OBJECTIVE To explore the risk evaluation of healthcare workers contracting tuberculosis in a designated three-A tuberculosis hospital in Guangxi based on the failure mode and effect analysis(FMEA)method.METHODS A designated three-A tuberculosis hospital in Guangxi was selected.Healthcare workers from Jan.1,2023 to Dec.31,2023 served as the control group and received routine management,i.e.,implementing various tuberculosis prevention and control measures according to current guidelines.Healthcare workers from Jan.1,2024 to Dec.31,2024 served as the experimental group and were managed by the FMEA method.High-risk fac-tors were screened through the FMEA method,and targeted intervention strategies were formulated to priori-tize intervention for high-risk events.The incidence rate of tuberculosis among healthcare workers and the imple-mentation rate of tuberculosis infection prevention and control measures before and after FMEA intervention were compared.RESULTS The six high-risk events screened were improper use of surgical masks by patients,inade-quate respiratory hygiene practices,improper use of medical protective masks by healthcare workers,lack of full process isolation management for tuberculosis patients,unreasonable sputum collection areas and improper venti-lation and air disinfection measure setting or maintenance.After implementing a series of tuberculosis prevention and control measures,the incidence rate of tuberculosis infection among healthcare workers decreased from 1.63％before FMEA intervention to 0.30％(P=0.021).The implementation rate of tuberculosis infection prevention and control measures increased from 69.95％to 73.61％(P=0.003).CONCLUSIONS Risk evaluation based on the FMEA method can identify weaknesses in tuberculosis infection prevention among healthcare workers in desig-nated tuberculosis hospitals.Implementing multiple measures simultaneously can effectively reduce the incidence rate of tuberculosis among healthcare workers,ensure occupational safety,improve the implementation rate of tu-berculosis infection prevention and control measures and achieve scientific and precise prevention and control.

This study was aimed at investigating differentially expressed genes(DEGs)in Clonorchis sinensis(C.sinensis)meta-cercariae and newly excysted juveniles(NEJs)cultured in vitro for 1 hour or 3 hours,through transcriptomic analysis.Our objective was to explore the mechanisms underlying host invasion.Metacercariae were digested and isolated from Pseudorasbora parva infected with C.sinensis.The metacercariae excysted and developed into NEJs in vitro.Subsequently,the mRNA of metacercariae and NEJs cultured in vitro for 1 hour or 3 hours was extracted for transcriptomic sequencing analysis to screen for DEGs,and to conduct GO and KEGG analyses.A protein-protein interaction network(PPI)was constructed to identify hub genes.A total of 1 218 DEGs were de-tected.The main enriched GO terms of DEGs included transcription regulator activity and gated channel activity(primarily K+).The KEGG pathways significantly enriched in DEGs included cholesterol metabolism,lysosome,synthesis,secretion,and action of para-thyroid hormone.ZFAND4-2,BIRC6,and other genes were screened and identified as hub genes through PPI network analysis.Addi-tionally,abundant differential expression of cathepsin-related genes,including Cathepsin L and Cathepsin F,were observed before and after excystment in C.sinensis.Therefore,significant transcriptional level changes occurred in the metacercariae of C.sinensis be-fore and after excystation,and enrichment was observed primarily in signaling pathways,such as activation of growth and material me-tabolism,that regulate parasite growth and development.Meanwhile,biological events conducive to parasite invasion,migration,and adhesion were triggered.

OBJECTIVE To explore the risk evaluation of healthcare workers contracting tuberculosis in a designated three-A tuberculosis hospital in Guangxi based on the failure mode and effect analysis(FMEA)method.METHODS A designated three-A tuberculosis hospital in Guangxi was selected.Healthcare workers from Jan.1,2023 to Dec.31,2023 served as the control group and received routine management,i.e.,implementing various tuberculosis prevention and control measures according to current guidelines.Healthcare workers from Jan.1,2024 to Dec.31,2024 served as the experimental group and were managed by the FMEA method.High-risk fac-tors were screened through the FMEA method,and targeted intervention strategies were formulated to priori-tize intervention for high-risk events.The incidence rate of tuberculosis among healthcare workers and the imple-mentation rate of tuberculosis infection prevention and control measures before and after FMEA intervention were compared.RESULTS The six high-risk events screened were improper use of surgical masks by patients,inade-quate respiratory hygiene practices,improper use of medical protective masks by healthcare workers,lack of full process isolation management for tuberculosis patients,unreasonable sputum collection areas and improper venti-lation and air disinfection measure setting or maintenance.After implementing a series of tuberculosis prevention and control measures,the incidence rate of tuberculosis infection among healthcare workers decreased from 1.63％before FMEA intervention to 0.30％(P=0.021).The implementation rate of tuberculosis infection prevention and control measures increased from 69.95％to 73.61％(P=0.003).CONCLUSIONS Risk evaluation based on the FMEA method can identify weaknesses in tuberculosis infection prevention among healthcare workers in desig-nated tuberculosis hospitals.Implementing multiple measures simultaneously can effectively reduce the incidence rate of tuberculosis among healthcare workers,ensure occupational safety,improve the implementation rate of tu-berculosis infection prevention and control measures and achieve scientific and precise prevention and control.

This study was aimed at investigating differentially expressed genes(DEGs)in Clonorchis sinensis(C.sinensis)meta-cercariae and newly excysted juveniles(NEJs)cultured in vitro for 1 hour or 3 hours,through transcriptomic analysis.Our objective was to explore the mechanisms underlying host invasion.Metacercariae were digested and isolated from Pseudorasbora parva infected with C.sinensis.The metacercariae excysted and developed into NEJs in vitro.Subsequently,the mRNA of metacercariae and NEJs cultured in vitro for 1 hour or 3 hours was extracted for transcriptomic sequencing analysis to screen for DEGs,and to conduct GO and KEGG analyses.A protein-protein interaction network(PPI)was constructed to identify hub genes.A total of 1 218 DEGs were de-tected.The main enriched GO terms of DEGs included transcription regulator activity and gated channel activity(primarily K+).The KEGG pathways significantly enriched in DEGs included cholesterol metabolism,lysosome,synthesis,secretion,and action of para-thyroid hormone.ZFAND4-2,BIRC6,and other genes were screened and identified as hub genes through PPI network analysis.Addi-tionally,abundant differential expression of cathepsin-related genes,including Cathepsin L and Cathepsin F,were observed before and after excystment in C.sinensis.Therefore,significant transcriptional level changes occurred in the metacercariae of C.sinensis be-fore and after excystation,and enrichment was observed primarily in signaling pathways,such as activation of growth and material me-tabolism,that regulate parasite growth and development.Meanwhile,biological events conducive to parasite invasion,migration,and adhesion were triggered.

OBJECTIVE To investigate the effect of Curcumol on lipid metabolism in non-small cell lung cancer(NSCLC)and its related molecular mechanism.METHODS A nude mouse xenograft tumor model was established,and Curcumol was administered for 14 d.The volume and weight of subcutaneous tumors were recorded.Hematoxylin-eosin(HE)and immunohistochemical staining were used to observe the pathological morphology of tumor tissues and organs,as well as the expression levels of Ki67 protein.Bio-chemical kits were used to detect the levels of lipids in tumor tissues.Western blot was used to detect the expression levels of SREBP-1,FASN,and EGFR proteins in tumor tissues.The qPCR and immunofluorescence were used to detect the expression of SREBP-1 in tumor tissues.Curcumol was used to treat human NSCLC cell line A549 and A549 cells overexpressing SREBP-1.The EdU assay was used to detect the proliferation ability of lung cancer cells;the MTT colorimetric method was used to detect cell viability;the Transwell assay was used to detect tumor cell migration and invasion;flow cytometry was used to detect cell apoptosis;biochemical kits were used to detect lipid levels in cells;and Western blot was used to detect the expression levels of SREBP-1,FASN,and EGFR proteins.RE-SULTS In the in vivo experiment,compared with the control group,Curcumol significantly inhibited the growth of subcutaneous xen-ografts,inhibited tumor cell proliferation(P<0.05,P<0.01),reduced the levels of triglycerides(TG),total cholesterol(T-CHO),and free fatty acids(FFA)in tumor tissues(P<0.05,P<0.01),downregulated the expression of SREBP-1,FASN,and p-EGFR pro-teins(P<0.01),and inhibited the expression of SREBP-1 mRNA in tumor tissues(P<0.05,P<0.01).In the in vitro experiment,compared with the control group,Curcumol significantly inhibited the proliferation,migration,and invasion of A549 cells,reduced cell viability(P<0.05,P<0.01),promoted tumor cell apoptosis(P<0.01),downregulated the levels of FFA,T-CHO,and TG in A549 cells(P<0.05,P<0.01),and inhibited the expression of SREBP-1,FASN,and p-EGFR proteins(P<0.05,P<0.01).Additionally,overexpression of SREBP-1 antagonized the inhibitory effects of Curcumol on lipid synthesis and EGFR activation,and weakened the inhibitory effects of Curcumolc on tumor cells.CONCLUSION Curcumol inhibits the expression levels of SREBP-1 and FASN,re-duces lipid synthesis,blocks EGFR signal transduction,and slows down the occurrence and development of NSCLC.

Objective:To investigate the clinical value of abdominal adipose volume in predicting early tumor recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 132 HCC patients with tumor diameter ≤5 cm who were admitted to The First Affiliated Hospital of Army Medical University from December 2017 to October 2019 were collected. There were 110 males and 22 females, aged (51±4)years. All patients underwent resection of HCC. Preoperative computer tomography scanning was performed and the visceral and subcutaneous fats of patients were quantified using the Mimics Research 21.0 software. Based on time to postoperative tumor recurrence patients were divided to two categories: early recurrence and non-early recurrence. Observation indicators: (1) consistency analy-sis; (2) analysis of factors influencing early tumor recurrence after resection of HCC and construction of prediction model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribu-tion were represented as M( Q1,Q3) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Consistency analysis was conducted using the intragroup correlation coefficient (ICC) test. Multivariate analysis was performed using the binary Logistic regression model forward method. Independent risk factors influencing early tumor recurrence after resection of HCC were screened. The area under curve (AUC) of receiver operating characteristic (ROC) curve was applied to select the optimal cut-off value to classify high and low risks of recurrence. The Kaplan-Meier method was used to draw survival curve and calculate survival time. The Log-Rank test was used for survival analysis. Results:(1) Consistency analysis. The consistency ICC of abdominal fat parameters of visceral fat volume (VFV), subcutaneous fat volume, visceral fat area, and subcutaneous fat area measured by 2 radiologists were 0.84, 1.00, 0.86, and 0.94, respectively. (2) Analysis of factors influencing early tumor recurr-ence after resection of HCC and construction of prediction model. All 132 patients were followed up after surgery for 662(range, 292-1 111)days. During the follow-up, there were 52 patients with non-early recurrence and 80 patients with early recurrence. Results of multivariate analysis showed that VFV was an independent factor influencing early tumor recurrence after resection of HCC ( odds ratio=4.07, 95% confidence interval as 2.27-7.27, P<0.05). The AUC of ROC curve based on VFV was 0.78 (95% confidence interval as 0.70-0.85), and the sensitivity and specificity were 72.2 % and 77.4 %, respectively. The optimal cut-off value of VFV was 1.255 dm 3, and all 132 patients were divided into the high-risk early postoperative recurrence group of 69 cases with VFV >1.255 dm 3, and the low-risk early postoperative recurrence group of 63 cases with VFV ≤1.255 dm 3. The disease-free survival time of the high-risk early postoperative recurrence group and the low-risk early post-operative recurrence group were 414(193,702)days and 1 047(620,1 219)days, showing a significant difference between them ( χ2=31.17, P<0.05). Conclusions:VFV is an independent factor influen-cing early tumor recurrence of HCC after resection. As a quantitative indicator of abdominal fat, it can predict the prognosis of HCC patients.

Objective:The results of the three lipid detection systems were compared to analyze their influence on risk stratification and clinical treatment in lipid management, especially the target goal cut-off point determination, and to find ways to reduce the impact on target goal determination of various lipid measurement system.Methods:A total of 196 serum samples with triglyceride TG <4.5 mmol/L were collected from people undergoing physical examinations and in-patients in the Second Xiangya Hospital of Central South University from August to October 2022. Triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were directly detected with Hitachi-Woke (HW), Roche and Mindray detection systems, respectively. The non high-density lipoprotein cholesterol (non HDL-C) was calculated by formula (TC-HDL-C) and LDL-C (F-LDL-C) was calculated by Friedewald formula, and results from various methodology were compared. The coefficient of variation ( CV) of these six indicators derived from the three detection systems were calculated to evaluate the consistency of the obtained results from different venders. In addition, the Pearson correlation coefficient was analyzed to evaluate the correlation of each indicator among different systems. According to the Chinese Guidelines for Blood Lipid Management, samples were divided into groups with LDL-C levels of <1.4, 1.4-<1.8, 1.8-<2.6, 2.6-<3.4 and ≥3.4 mmol/L according to the recommended LDL-C levels for different risk stratification levels. The sample size and percentage of LDL-C test results from different systems in the same group were counted to evaluate the impact of LDL-C differences between systems on clinical decision-making of blood lipid management. The correction factor was calculated through two methods: (1) The average deviation of LDL-C between systems was estimated by EP9-A3 method; (2) Multiple linear stepwise regression was used to establish the regression model of LDL-C difference and related indexes between systems. The two correction factors were used to correct the deviation of LDL-C value obtained from various systems, and Chi-square test was used to compare the difference of LDL-C grouping consistency rate before and after correction. Result:The average CV values of TG, TC, LDL-C, F-LDL-C, HDL-C, and non HDL-C among the three detection systems were 4.84%, 1.92%, 11.96%, 3.81%, 5.82% and 2.61%, respectively. Correlation analysis showed that when comparing the three systems in pairs, except for LDL-C derived from HW and Roche′s, and Mindray and Roche′s LDL-C ( R 2=0.938 and 0.947), the R 2 of other indicators were all greater than 0.97. The consistency rates of the three systems on LDL-C and F-LDL-C were 51.0% (100/196) and 90.8% (178/196), respectively, according to the risk stratification standard values and the difference was statistically significant ( P<0.05). When comparing in pairs, the consistency rates of Roche and HW, Mindray and HW, Mindray and Roche system LDL-C grouping were 60.7% (119/196), 82.7% (162/196), and 54.1% (106/196), respectively. After adjusting for mean deviation, the group consistency rate of Roche and HW increased to 73.7%-79.4% ( P<0.05), and the group consistency rate of Roche and Mindray increased to 72.3%-79.0% ( P<0.05). After adjusting for difference regression model, the group consistency rate of Roche and HW increased to 82.5%-84.0%, and the group consistency rate of Roche and Mindray increased to 81.0%-89.2%. However, there was no significant change in the group consistency rate of Mindray and HW after adjusting for both correction methods ( P>0.05) .Conclusions:There are significant differences in LDL-C derived from different detection systems, and the consistency rate of grouping according to the lipid-lowering standard value is relatively low, which may affect clinical decision-making in lipid management. Adjusted by the correction factor, the consistency rate of grouping between Roche and HW, Roche and Mindray systems with large differences in LDL-C can be improved. Using the difference multiple linear regression model as a correction factor is superior to the average deviation.

Objective:To investigate the predictive value of preoperative abdominal adipose tissue measurement for early recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 238 patients with HCC who underwent surgical resection from January 2018 to January 2020 in 2 medical centers in China were collected, including 46 cases in the First Affiliated Hospital of Chongqing Medical University and 192 cases in the First Affiliated Hospital of Army Medical University. There were 207 males and 31 females, aged 51(48,65)years. All patients underwent abdominal computed tomography (CT) and/or magnetic resonance imaging (MRI) before surgery. Observation indicators: (1) measure-ment of abdominal adipose tissue; (2) follow-up; (3) analysis of influencing factors for early recurrence after resection of HCC; (4) prediction of early recurrence after resection of HCC. Follow-up was conducted by outpatient examinations and telephone interview to detect the postoperative survival of patients up to February 2022. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was performed by the t test. Measurement data with skewed distribution was represented by M(range) or M( Q1, Q3), and comparison between groups was performed by the Mann-Whitney U test. Count data were expressed as absolute numbers or percen-tages, and the chi-square test was used for comparison between groups. Univariate analysis was conducted using the corresponding statistical methods based on data type. Multivariate analysis was performed using the Logistic regression model advance method. The receiver operating characteristic curve was drawn, and the area under curve was used to evaluate the efficacy. Results:(1) Measure-ment of abdominal adipose tissue. Of the 238 patients, the total abdominal adipose tissue, visceral adipose tissue, subcutaneous adipose tissue, total adipose tissue index, visceral adipose tissue index, subcutaneous adipose tissue index were 292(198,355)cm 2, 153(99,194)cm 2, 128(95,154)cm 2, 106(76,130)cm 2/m 2, (57±27)cm 2/m 2, 46(34,58)cm 2/m 2 for 139 patients with early postoperative recur-rence, versus 174(114,251)cm 2, 78(50,110)cm 2, 88(55,127)cm 2, 64(42,91)cm 2/m 2, (30±16)cm 2/m 2, 31(19,46) cm 2/m 2 for 99 patients without early recurrence, respectively, showing significant diffe-rences between them ( Z=?7.39, ?7.87, ?5.03, ?7.25, t=?9.46, Z=?5.00, P<0.05). (2) Follow-up. All the 238 patients were followed up according to the plan. The survival time of 238 patients was 26(8,44)months. The survival time was 11(5,18)months for patients with postoperative early recur-rence, versus 36(32,43)months for patients without early recurrence, respectively. (3) Analysis of influencing factors for early recurrence after resection of HCC. Results of univariate analysis showed that body mass index, total adipose tissue, visceral adipose tissue, subcutaneous adipose tissue, total adipose tissue index, visceral adipose tissue index and subcutaneous adipose tissue index were related factors for early recurrence after resection of HCC ( t=?5.88, Z=?7.39, ?7.87, ?5.03, ?7.25, t=?9.46, Z=?5.00, P<0.05). Results of multivariate analysis showed that visceral adipose tissue index was an independent influencing factor for early recurrence after resection of HCC ( odds ratio=1.06, 95% confidence interval as 1.04?1.08, P<0.05). (4) Prediction of early recurrence after resection of HCC. According to the results of multivariate analysis, the receiver operating characteris-tic curve showed that the area under curve of visceral adipose tissue index was 0.80 (95% confidence interval as 0.75?0.86, P<0.05), with the sensitivity and specificity as 75.5% and 71.7%. Conclusions:Visceral adipose tissue index is an independent influencing factor for early recurrence after resection of HCC. The risk of early recurrence increases with the increase of visceral adipose tissue index.

PURPOSE: The long non-coding RNA H19, a conservatively imprinted gene, acts as a molecular sponge for the let-7 family, which has been identified as a set of tumor suppressors. However, the combined prognostic value of H19 and let-7a signature in breast cancer patients remains unclear. METHODS: In this research we assessed the prognostic value of the combined H19 and let-7a signature in breast cancer patients by retrospectively reviewing that data of 79 patients who underwent neoadjuvant chemotherapy; we also investigated the expression and function of H19 in breast cancer cell lines in vitro. Survival data were calculated using the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate survival analyses were conducted using the Cox proportional hazards regression method. As determined using X-tile, the optimal cutoff value for the risk score to assess progression-free survival (PFS) based on the combined signature was –0.1. RESULTS: Patients with an overall positive treatment response had higher let-7a and lower H19 levels. In addition, let-7a expression was negatively correlated with H19 expression. Patients with a risk score of >–0.1 had shorter overall survival and PFS. In vitro data showed that chemoresistant cell lines exhibit higher H19 and lower let-7a levels and knockdown H19 restores paclitaxel sensitivity. CONCLUSION: Our results suggest that the combined let-7a and H19 signature is a novel prognostic factor for breast cancer patients treated with neoadjuvant chemotherapy.
Breast Neoplasms* ; Breast* ; Cell Line ; Disease-Free Survival* ; Drug Therapy ; Humans ; In Vitro Techniques ; Methods ; Neoadjuvant Therapy ; Paclitaxel ; Porifera ; Prognosis ; Retrospective Studies ; RNA, Long Noncoding