ObjectiveTo investigate the clinical features of patients with acute-on-chronic liver failure （ACLF） and bacterial infection and early warning indicators associated with multidrug-resistant infections. MethodsA retrospective analysis was performed for 130 patients with ACLF and bacterial infection who attended The Second Affiliated Hospital of Air Force Medical University from January 1， 2010 to December 31， 2021， and according to the drug susceptibility results， the patients were divided into multidrug-resistant （MDR） bacterial infection group with 80 patients and non-MDR bacterial infection group with 50 patients. General information and laboratory examination results were compared between the two groups to screen for the early warning indicators associated with MDR bacterial infection. The Student’s t-test was used for comparison of normally distributed continuous data with homogeneity of variance between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data or continuous data with heterogeneity of variance between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The binary logistic regression analysis and the receiver operating characteristic （ROC） curve were used to assess the predictive value of early warning indicators. ResultsAmong the 130 patients with ACLF and bacterial infection， sputum （27.7%） was the most common specimen for detection， followed by blood （24.6%）， urine （18.5%）， and ascites （17.7%）. Bacterial infections were dominated by Gram-negative bacteria （58.5%）. Of all bacteria， Escherichia coli （18.5%）， Klebsiella pneumoniae （14.6%）， and Enterococcus faecium （13.8%） were the most common pathogens. Gram-positive bacteria had a high resistance rate to the antibacterial drugs such as erythromycin （72.2%）， penicillin （57.4%）， ampicillin （55.6%）， and ciprofloxacin （53.7%）， while Gram-negative bacteria had a high resistance rate to the antibacterial drugs such as ampicillin （73.3%）， cefazolin （50.0%）， and cefepime （47.4%）. The patients with ACLF and bacterial infection had a relatively high rate of MDR bacterial infection （61.5%）. Comparison of clinical data between the two groups showed that compared with the patients with non-MDR bacterial infection， the patients with MDR bacterial infection had significantly higher levels of alanine aminotransferase （Z=2.089， P=0.037）， aspartate aminotransferase （Z=2.063， P=0.039）， white blood cell count （Z=2.207， P=0.027）， and monocyte count （Z=4.413， P<0.001）. The binary logistic regression analysis showed that monocyte count was an independent risk factor for MDR bacterial infection （odds ratio=7.120， 95% confidence interval ［CI］： 2.478‍ ‍—‍ ‍20.456，P<0.001） and had an area under the ROC curve of 0.686 （95%CI： 0.597‍ ‍—‍ ‍0.776） in predicting ACLF with MDR bacterial infection（P<0.001）， with the optimal cut-off value of 0.50×10⁹/L， a sensitivity of 0.725， and a specificity of 0.400. ConclusionACLF combined with bacterial infections is mainly caused by Gram-negative bacteria， with the common pathogens of Escherichia coli and Klebsiella pneumoniae and a relatively high MDR rate in clinical practice. An increase in monocyte count can be used as an early warning indicator to distinguish MDR bacterial infection from non-MDR bacterial infection.

Objective:To investigate the value of myocardium scar area in predicting adverse cardiovascular events (MACEs) after coronary artery bypass grafting (CABG) in patients with ischemic cardiomyopathy (ICM).Methods:The first part of this study was a retrospective study. Patients diagnosed with ICM and undergoing CABG surgery at Beijing Anzhen Hospital, Capital Medical University from January 2017 to December 2022 were enrolled as the discovery cohort. All patients underwent cardiac magnetic resonance-late gadolinium enhancement (CMR-LGE) before surgery. According to the occurrence of postoperative MACEs, the patients were divided into MACEs group and MACEs-free group. Preoperative clinical and imaging data, intraoperative and postoperative data were collected and compared between the two groups. The primary endpoint was postoperative MACEs. Univariate and multifactor regression analyses were used to analyze the risk factors for MACEs. Receiver operating characteristic (ROC) curves were constructed to evaluate the predictive efficacy and optimal cut-off value of myocardial scar area for endpoint events. The second part of this study was a prospective study. Patients with ICM who received CABG at Beijing Anzhen Hospital, Capital Medical University from January 2023 to June 2023 were enrolled as a validation cohort, and were divided into MACEs group and MACEs-free group according to whether MACEs occurred after surgery. Preoperative clinical and imaging data, intraoperative and postoperative data were collected and compared between the two groups. Verify the reliability of the cut-off value obtained by ROC curve in the validation cohort.Results:A total of 120 patients with ICM (30 patients in MACEs group and 90 patients in MACEs-free group), aged (61.6±8.7) years, including 93 males, were included in the discovery cohort. A total of 22 ICM patients (5 patients in MACEs group and 17 patients in MACEs-free group), aged (59.5±8.2) years, including 18 males, were included in the validation cohort. Multivariate Cox regression showed that myocardial scar area ( HR=1.258, 95% CI 1.096-1.444, P=0.001) was an independent risk factor for the primary endpoint event. The area under ROC curve of myocardial scar area for predicting postoperative MACEs was 0.90 (95% CI 0.83-0.95), and myocardial scar area≥36.0% was the optimal cut-off value for predicting postoperative MACEs, and its sensitivity, specificity and accuracy were 96.7%, 72.2% and 78.3%, respectively. In the validation cohort, the sensitivity, specificity and accuracy of myocardial scar area in predicting postoperative MACEs in patients with ICM after CABG were 80.0%, 82.4% and 81.8%, respectively. Conclusion:Myocardial scar area is an independent risk factor for MACEs after CABG in patients with ICM, and myocardial scar area≥36.0% is the optimal cut-off value for predicting MACEs after CABG. Myocardial scar area can help to identify patients at high risk of surgery and provide a basis for risk stratification of patients.

Objective To investigate the value of T2 mapping sequence combined with apparent diffusion coefficient(ADC)values in identifying benign and malignant breast lesions.Methods Ninety-two patients with breast mass were retrospectively selected,all patients received MRI examination,T2 mapping sequence and ADC values were selected for image analysis,and all patients underwent surgical biopsy and pathological diagnosis,the clinical value of T2 mapping sequence combined with ADC values in differential diagnosis of benign and malignant breast lesions was observed.Results After pathological examination,52 patients were diagnosed as malignant breast lesions and the remaining 40 were diagnosed as benign breast lesions.Among 52 patients with malignant lesions,51 were diag-nosed as malignant and 1 was diagnosed as benign by ADC values.Among the 40 cases of benign lesions,16 were diagnosed as malig-nant and 24 were diagnosed as benign by ADC values.The difference between the mean T2 values of benign breast lesions and malig-nant breast lesions was not significant(P＞0.05);but the coefficient of variation(CV)of T2 values of malignant breast lesions was significantly higher than that of benign breast lesions,and the difference was significant(P＜0.05),and the diagnostic efficacy of T2 mapping and ADC value single examination was lower than that of the combined examination(P＜0.05).Conclusion T2 mapping sequence and ADC value in MRI have the ability to diagnose and distinguish benign and malignant breast,especially the value of the joint application of the two is more prominent,improve the diagnostic accuracy,sensitivity and specificity,and can provide more accurate reference information for clinical practice,which is worth popularizing.

Breast cancer is the most common primary malignant tumor in women.Surgery combined with radiotherapy and chemotherapy in time can prolong patients'survival time.Based on multi-parameter MRI(mpMRI),habitat imaging(HI)can identify different habitat subregions of tumors,characterize intratumor heterogeneity(ITH)and reflect the biological information of the tumor,hence being helpful for diagnosis and evaluation of breast cancer.The research progresses of mpMRI HI in breast cancer were reviewed in this article.

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

Ketone bodies have beneficial metabolic activities, and the induction of plasma ketone bodies is a health promotion strategy. Dietary supplementation of sodium butyrate (SB) is an effective approach in the induction of plasma ketone bodies. However, the cellular and molecular mechanisms are unknown. In this study, SB was found to enhance the catalytic activity of 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2), a rate-limiting enzyme in ketogenesis, to promote ketone body production in hepatocytes. SB administrated by gavage or intraperitoneal injection significantly induced blood ß-hydroxybutyrate (BHB) in mice. BHB production was induced in the primary hepatocytes by SB. Protein succinylation was altered by SB in the liver tissues with down-regulation in 58 proteins and up-regulation in 26 proteins in the proteomics analysis. However, the alteration was mostly observed in mitochondrial proteins with 41% down- and 65% up-regulation, respectively. Succinylation status of HMGCS2 protein was altered by a reduction at two sites (K221 and K358) without a change in the protein level. The SB effect was significantly reduced by a SIRT5 inhibitor and in Sirt5-KO mice. The data suggests that SB activated HMGCS2 through SIRT5-mediated desuccinylation for ketone body production by the liver. The effect was not associated with an elevation in NAD⁺/NADH ratio according to our metabolomics analysis. The data provide a novel molecular mechanism for SB activity in the induction of ketone body production.
Mice ; Animals ; Butyric Acid/metabolism* ; Ketone Bodies/metabolism* ; Liver/metabolism* ; Hydroxybutyrates/metabolism* ; Down-Regulation ; Sirtuins/metabolism* ; Hydroxymethylglutaryl-CoA Synthase/metabolism*

Hepatocellular carcinoma (HCC) is the most common liver malignancy, where HCC segmentation and prediction of the degree of pathological differentiation are two important tasks in surgical treatment and prognosis evaluation. Existing methods usually solve these two problems independently without considering the correlation of the two tasks. In this paper, we propose a multi-task learning model that aims to accomplish the segmentation task and classification task simultaneously. The model consists of a segmentation subnet and a classification subnet. A multi-scale feature fusion method is proposed in the classification subnet to improve the classification accuracy, and a boundary-aware attention is designed in the segmentation subnet to solve the problem of tumor over-segmentation. A dynamic weighted average multi-task loss is used to make the model achieve optimal performance in both tasks simultaneously. The experimental results of this method on 295 HCC patients are superior to other multi-task learning methods, with a Dice similarity coefficient (Dice) of (83.9 ± 0.88)% on the segmentation task, while the average recall is (86.08 ± 0.83)% and an F1 score is (80.05 ± 1.7)% on the classification task. The results show that the multi-task learning method proposed in this paper can perform the classification task and segmentation task well at the same time, which can provide theoretical reference for clinical diagnosis and treatment of HCC patients.
Humans ; Carcinoma, Hepatocellular ; Liver Neoplasms ; Learning

Humans ; RNA, Long Noncoding/genetics* ; MicroRNAs/genetics* ; Cell Line, Tumor ; Inflammation/genetics* ; Apolipoproteins E ; Apoptosis

Objective:To investigate the characteristics of early myocardial mechanics changes in diabetic cardiomyopathy (DCM).Method:Sixty healthy 4-week-old male C57BL/6J mice were randomly divided into the T2DM group ( n=30) and the control group ( n=30). The T2DM group was fed with high-fat diet for 4 weeks, and accepted injection of a single high-dose of streptozotocin (STZ) intraperitoneally. Finally, the model was established successfully in 23 mice. The control group was fed with a normal diet and treated with citrate buffer liquid at an equal dose as T2DM group. Then, nine mice were randomly selected from each of the two groups every 4 weeks until the end of the 24th week. Six of the nine mice were randomly selected to perform 7.0 T MR scanning after measuring blood glucose and body weight. Cine images were acquired through cardiovascular MR feature tracking (CMR-FT). The obtained parameters included the left ventricle global peak circumferential strain (LV-GPCS), left ventricle global peak radial strain(GPRS) and the ejection fraction (EF), etc. The rest three mice were sacrificed for observation of the changes of interstitial fibers and micro-vessels in myocardial tissue with Sirius red staining. One-way analysis of variance (ANOVA) and t test were used for comparison. Results:There were significant differences in blood glucose levels between the two groups during the observation period ( P<0.05). In the 4 th-24 th week, the value of GPCS in T2DM group showed a downward trend, and the difference was statistically significant ( F = 8.23, P<0.001). Compared with the control group, the value of GPCS in T2DM group was statistically significant at the 20 th and 24 th week (the 20 th week: -11.4%±2.1% in the T2DM group vs. -14.3%±1.9% in the control group, t=2.54, P=0.029;the 24 th week: -12.3%±1.7% in the T2DM group vs. -14.6%±1.8% in the control group, t=2.35 , P=0.040), while the EF value was different at the 24 th week (51%±5% in the T2DM group vs. 62%±6% in the control group, t=3.38, P=0.007). There was no significant difference in the GPRS of the T2DM mice group over time or compared with the controls ( P>0.05). Moreover, the pathological results showed that the myocardial interstitial fibers in the T2DM group had remarkably increased since the 12 th week. Conclusions:The alterations in myocardial interstitial fibers and myocardial contractility appeared early in T2DM mice. Especially, the left ventricle global peak circumferential strain value is superior to the EF value in reflecting the early changes in DCM.

Objective:To evaluate the effects and adverse reactions of external skin care products containing oltides and bio-polysaccharides on epidermaligopep barrier function of sensitive skin.Methods:From December 2019 to July 2020, there were 30 sensitive skin volunteers diagnosed and treated in the dermatology clinic of Beijing Tongren Hospital, including 3 males and 27 females, aged 18-57 years, with an average of 34 years, and the course of disease was 1-10 years, with an average of 5.75 years. They were treated once with products containing oligopeptides and biopolysaccharides on the day of enrollment. Before treatment, 1 week and 4 weeks after treatment, we observed and evaluated through VISIA analysis; skin physiological index measurement, subjective and objective improvement assessment, and product safety were evaluated through questionnaire surveys.Results:The VISIA data showed that the red zone was significantly lower than the baseline, and the data at the 4th week and before treatment were significantly improved ( P<0.05). On skin physiology, the test showed that after treatment, the difference between two follow-up visits and the water content before was statistically significant ( P<0.05). TEWL value after 4 weeks of treatment was significantly improved as compared with the baseline ( P<0.05). During the entire study process, no adverse reactions related to the product occurred. Conclusions:This skin care product containing oligopeptides and biopolysaccharides can increase the water content of the sensitive skin, reduce the water loss through the skin, and improve the skin barrier function. Meanwhile, no server adverse reaction is detected through the whole experiment.