Objective To explore the mechanism of electroacupuncture in alleviating hyperlipidemia in a rat model by modulating mammalian target of rapamycin complex 1(mTORC1)-mediated lipophagy in hepatocytes.Methods A total of 30 SD rats were randomly divided into blank(n=6)and modeling groups(n=24)using the random number table method.A hyperlipidemic rat model was established by feeding rats a high-fat diet(feeding for 8 weeks).After successful modeling,the modeling group was randomly divided into the model,electroacupuncture,mTORC1 inhibitor,and electroacupuncture+mTORC1 agonist groups,with six rats in each group.Except for the blank group,all other rats were fed with high fat diet.Rats in the electroacupuncture and electroacupuncture+mTORC1 agonist groups received electroacupuncture intervention at bilateral"Fenglong"(ST40)acupoints(dilatational wave 2 Hz/100 Hz,current intensity 1 mA)for 30 min once daily.Rats in the mTORC1 inhibitor group received intraperitoneal injections of the mTORC1 inhibitor,rapamycin(2 mg/kg),once daily.Rats in the electroacupuncture+mTORC1 agonist group received intraperitoneal injections of the mTORC1 agonist MHY1485(10 mg/kg)once daily.The interventions were administered for five consecutive days per week for 4 weeks.Upon completion of the intervention,the following analyses were performed:serum contents of total cholesterol(TC),triglycerides(TAG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),free fatty acids(FFA),alanine aminotransferase(ALT),and aspartate aminotransferase(AST)were measured using a fully automated biochemical analyzer.Hepatic histopathological changes and lipid deposition were observed using hematoxylin-eosin and oil red O staining.The liver condition was observed and the liver index was calculated.Hepatic TC and TAG levels were measured using an enzyme-linked immunosorbent assay.The ultrastructure of the liver tissue was observed using transmission electron microscopy,and the mean fluorescence intensity of perilipin 2(PLIN2)and microtubule-associated protein 1 light chain 3(LC3)-Ⅱ in the liver tissue was detected using immunofluorescence.Protein expression of LC3-Ⅱ/LC3-Ⅰ,phosphorylated mammalian target of rapamycin(p-mTOR)/mTOR,and mTORC1 in liver tissue was detected using Western blotting.Results Compared to the blank group,the model group rats showed increased serum TC,TAG,LDL-C,ALT,AST,and FFA levels,along with decreased HDL-C levels(P<0.05).The liver index and hepatic TC and TAG levels were also elevated(P<0.05).Histological examination of liver tissue revealed substantial lipid accumulation,numerous lipid droplets within hepatocytes,abnormal mitochondrial morphology,and scarce autophagic vacuole.The mean fluorescence intensity of PLIN2 increased,whereas that of LC3-Ⅱ decreased(P<0.05).Additionally,the LC3-Ⅱ/LC3-Ⅰ ratio was reduced,whereas the p-mTOR/mTOR ratio and mTORC1 protein expression were increased(P<0.05).Compared to the model group,rats in the mTORC1 inhibitor and electroacupuncture groups exhibited decreased serum TC,TAG,LDL-C,ALT,AST,and FFA levels(P<0.05),along with a reduced liver index and hepatic TC and TAG levels(P<0.05).Histological examination showed markedly attenuated lipid accumulation and visible autophagic vacuole in the hepatocytes.The mean fluorescence intensity of PLIN2 decreased,whereas that of LC3-Ⅱ increased(P<0.05).Moreover,the LC3-Ⅱ/LC3-Ⅰ ratio increased,whereas the p-mTOR/mTOR ratio and mTORC1 protein expression decreased(P<0.05).In comparison with both the electroacupuncture and mTORC1 inhibitor groups,the electroacupuncture+mTORC1 agonist group demonstrated increased serum TAG,TC,LDL-C,ALT,AST,and FFA levels(P<0.05)as well as elevated liver index and hepatic TC and TAG levels(P<0.05).Liver tissues exhibited aggravated lipid deposition and absence of autophagic vacuole in liver cells.The mean fluorescence intensity of PLIN2 was enhanced,whereas that of LC3-Ⅱ was reduced(P<0.05).Furthermore,the LC3-Ⅱ/LC3-Ⅰ ratio decreased,and the p-mTOR/mTOR ratio and mTORC1 protein expression increased(P<0.05).Conclusion Electroacupuncture at"Fenglong"(ST40)may improve blood lipid levels in hyperlipidemic rats by inhibiting mTORC1 and promoting hepatocyte lipophagy.

Objective To discuss the correlation between free prostate specific antigen(fPSA),serum ferritin(SF),blood uric acid(SUA)levels and Gleason grading in patients with prostate cancer(PCa).Methods The clinical data of 61 patients with prostate biopsy treated in 411 Hospital of Shanghai University from January to December of 2023 were retrospectively analyzed.According to the results of puncture,the patients were divided into benign prostatic hyperpla-sia(BPH)group(31 cases)and PCa group(30 cases).The levels of fPSA,SF and SUA in patients and Gleason grade in biopsy cases were analyzed.The correlation between fPSA,SF and SUA levels and Gleason grade was analyzed by the method of Spearman.And the diagnostic efficacy of fPSA,SF and SUA levels on PCa was analyzed by receiver operating characteristic curve(ROC).Results The levels of fPSA,SF and SUA in PCa group were significantly higher than those in BPH group(P＜0.05).There were statistically significant differences in levels of fPSA SF and SUA in PCA patients with different Gleason grades(P＜0.05).With the specificity reaching 96.08％and sensitivity reaching 94.35％,the ar-ea under the curve(AUC)of the combined fPSA,SF and SUA levels in the diagnosis of PCa was 0.982,which was higher than that of the single fPSA,SF and SUA levels(P＜0.05).SF and SUA levels in PCa patients were positively correlated with Gleason grade(P＜0.05),while fPSA levels were not correlated with Gleason grade(P＞0.05).Conclusion The levels of SF and SUA in PCa patients are positively correlated with Gleason grade,which can be used as an important index to predict Gleason grade in PCa patients.

This study was aimed at tracing the molecular typing and drug resistance characteristics of a suspected food poi-soning event caused by Clostridium perfringens in a district of Wuhan City.The FilmArray detection system and multiple fluo-rescence quantitative PCR methods were used to rapidly screen for pathogens in samples from the poisoning event.According to the initial screening results,bacteria were isolated,cultured,and identified by mass spectrometry.Fluorescence PCR was used to detect six virulence genes of the isolated Clostridium perfringens strains.On the basis of whole genome sequencing results,we conducted virulence genes,resistance genes,and whole genome single nucleotide polymorphism genetic evolution(wgSNPs)analyses.Antibiotic sensitivity testing was conducted with the agar dilution method.A total of ten strains of Clos-tridium perfringens were isolated,including eight strains from seven anal swab samples,one strain from fecal samples,and one strain from food samples.Food with suspected contamination had a Clostridium perfringens count of 7.8×106 CFU/g.The PLC(a)toxin gene was detected in all ten gas producing capsule isolation strains,but no other 5 tox-in genes such as CPE were detected,thus confirming that all were type A bacteria producing capsule Clostridium.All strains were 100％resistant to clindamycin and almost completely sensitive to antibiotics such as vancomycin,cefoxitin,and meropenem.Ten strains of Clos-tridium perfringens carried resistance genes such as tetB(P),tetA(P),and mprF,followed by ermQ(70％),ant(6)-Ⅰb(10％),and LnuP(10％).Genetic evolution analysis of wgSNPs indicated that the four outbreak strains clustered together and belonged to an independent subbranch with the suspected food sourcestrains,thus indicating close genetic relationships.In con-clusion,this food poisoning incident might have been be caused by hand torn chickens contaminated with Clostridium perfrin-gens,and the molecular types of the strains revealed high genetic diversity.No multiple drug resistance was observed,but all strains were resistant to clindamycin,an aspect requiring further clinical attention.

A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1％and 119％,with relative standard deviations(RSDs)of 0.2％to 9.9％.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.

Objective To discuss the correlation between free prostate specific antigen(fPSA),serum ferritin(SF),blood uric acid(SUA)levels and Gleason grading in patients with prostate cancer(PCa).Methods The clinical data of 61 patients with prostate biopsy treated in 411 Hospital of Shanghai University from January to December of 2023 were retrospectively analyzed.According to the results of puncture,the patients were divided into benign prostatic hyperpla-sia(BPH)group(31 cases)and PCa group(30 cases).The levels of fPSA,SF and SUA in patients and Gleason grade in biopsy cases were analyzed.The correlation between fPSA,SF and SUA levels and Gleason grade was analyzed by the method of Spearman.And the diagnostic efficacy of fPSA,SF and SUA levels on PCa was analyzed by receiver operating characteristic curve(ROC).Results The levels of fPSA,SF and SUA in PCa group were significantly higher than those in BPH group(P＜0.05).There were statistically significant differences in levels of fPSA SF and SUA in PCA patients with different Gleason grades(P＜0.05).With the specificity reaching 96.08％and sensitivity reaching 94.35％,the ar-ea under the curve(AUC)of the combined fPSA,SF and SUA levels in the diagnosis of PCa was 0.982,which was higher than that of the single fPSA,SF and SUA levels(P＜0.05).SF and SUA levels in PCa patients were positively correlated with Gleason grade(P＜0.05),while fPSA levels were not correlated with Gleason grade(P＞0.05).Conclusion The levels of SF and SUA in PCa patients are positively correlated with Gleason grade,which can be used as an important index to predict Gleason grade in PCa patients.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.