OBJECTIVE To explore the ameliorative effect of Tiaozhi Xiaoban Mixture on atherosclerosis and the potential role of long non-coding RNA(Linc RNA)in anti-atherosclerosis.METHODS A model of atherosclerosis was established in SD rats subjec-ted to a high-fat diet.At 4 weeks post-modeling,thoracic aortic tissues from atherosclerotic rats were collected for hematoxylin-eosin(HE)staining to systematically evaluate the anti-atherosclerotic effects of Tiaozhi Xiaoban Mixture at different doses.Biochemical kits were utilized to assess relevant indices related to blood lipid levels as well as liver and kidney function,thereby evaluating the impact of Tiaozhi Xiaoban Mixture on these parameters.Enzyme-linked immunosorbent assay(ELISA)was employed to measure serum inflam-mation markers influenced by Tiaozhi Xiaoban Mixture.Additionally,TUNEL staining and Western blot analysis were conducted to ex-amine the apoptotic effects of Tiaozhi Xiaoban Mixture on thoracic aorta tissue.Finally,qPCR was used to detect the expression levels of Line-HC,MALAT1,etc.,in order to evaluate how Tiaozhi Xiaoban Mixture affecting these specific RNA molecules.RESULTS Following treatment with Tiaozhi Xiaoban Mixture,the blood lipid profiles indicated that total cholesterol(TC),triglycerides(TG),and low-density lipoprotein cholesterol(LDL-C)were significantly down-regulated(P＜0.05,P＜0.01),while high-density lipopro-tein cholesterol(HDL-C)levels were up-regulated in the atherosclerotic rats.Moreover,serum levels of liver and kidney function markers such as aspartate aminotransferase(AST),alanine aminotransferase(ALT),blood urea nitrogen(BUN),and creatinine(Cr)exhibited down-regulation(P＜0.05,P＜0.01).Additionally,pro-inflammatory factors including interleukin-6(IL-6),interleukin-1 beta(IL-1β),tumor necrosis factor-alpha(TNF-α),high-sensitivity C-reactive protein(hs-CRP),and matrix metallopeptidase 9(MMP-9)were also reduced(P＜0.01),whereas the anti-inflammatory factor interleukin-10(IL-10)was found to be elevated(P＜0.01).Furthermore,after oral administration of Tiaozhi Xiaoban Mixture,expression levels of apoptosis-related factors NLRP3,ASC,Cleaved Caspase-1,Cleaved IL-1 β,Puma,Bax,Noxa,and MDM2 in thoracic aorta tissues from the atherosclerotic rats showed sig-nificant down-regulation(P＜0.05,P＜0.01).Notably,following treatment with Tiaozhi Xiaoban Mixture,mRNA levels of Linc-HC decreased while mRNA expression of MALAT1 increased(P＜0.05,P＜0.01).CONCLUSION Tiaozhi Xiaoban Mixture may inhibit the expression of Linc-HC and up-regulate the expression of MALAT1 to reduce the formation of atherosclerotic plaque,improve ab-normal blood lipids and liver and kidney function,alleviate inflammation and inhibit apoptosis.

Objective:To observe the effectiveness of extracorporeal counterpulsation therapy in patients with heart failure in ischaemic cardiomyopathy.Methods:A total of 112 patients with ischemic cardiomyopathy and heart failure admitted to the Second Affiliated Hospital of Xingtai Medical College from August 2020 to June 2023 were prospectively selected and divided into two groups by random number table method. The control group was treated with conventional drugs and conventional cardiac rehabilitation program, and the observation group was combined with external counterbeating therapy on the basis of the control group. The levels of N-terminal B-type brain natriuretic peptide (NTproBNP), soluble growth stimulation-expression gene-2 protein (sST2), neutrophil gelatinase-associated lipid carrier protein (NGAL), galactin-3 (Gal-3), cardiopulmonary exercise test (CPET) parameters and cardiac ultrasound indexes were compared between the two groups before and after treatment. The curative effect and the rate of re-hospitalization within 6 months were compared between the two groups.Results:After treatment, the levels of NTproBNP, sST2, NGAL and Gal-3 in the observation group were lower than those in the control group: (1941.36 ± 312.59) ng/L vs. (2674.22 ± 404.64) ng/L, (44.78 ± 3.97) ng/L vs. (52.45 ± 4.13) ng/L, (22.63 ± 3.65) μg/L vs. (26.41 ± 3.77) μg/L, (4.63 ± 1.29) ng/L vs. (6.11 ± 1.78) ng/L, there were statistical differences ( P<0.05); the maximum kilogram oxygen uptake (VO 2max/kg), maximum kilogram oxygen uptake as a percentage of predicted value (VO 2max/kg%pred), maximum minute ventilation as a percentage of predicted value (VEmax%pred) in the observation group were higher than those in the control group: (22.41 ± 2.23) ml/(min·kg) vs. (21.35 ± 2.09) ml/(min·kg), (83.79 ± 11.04)% vs. (78.74 ± 10.14)%, (88.95 ± 12.74)% vs. (75.45 ± 11.14)%, there were statistical differences ( P<0.05 or <0.01); the left ventricular ejection fraction (LVEF) in the observation group was higher than that in the control group and the left ventricular posterior wall thickness (LVPWT) and left ventricular posterior wall end-systolic thickness (PWS) were lower than those in the control group: (50.12 ± 3.87)% vs. (48.63 ± 3.74)%, (8.77 ± 1.58) mm vs. (9.63 ± 1.97) mm, (9.34 ± 1.54) mm vs. (10.14 ± 1.79) mm, there were statistical differences ( P<0.05). There was no statistical difference in the total effective rate between the two groups ( P>0.05). The patient readmission rate within 6 months of follow-up in the observation group was lower than that in the control group: 5.45%(3/55) vs. 20.00%(11/55), there was statistical difference( χ2 = 5.24, P<0.05). Conclusions:Extracorporeal counterpulsation therapy for the treatment of heart failure in ischaemic cardiomyopathy can improve the cardiorespiratory function, reduce the expression of NTproBNP, sST2, NGAL and Gal-3, and decrease the patient readmission rate.

OBJECTIVE To explore the ameliorative effect of Tiaozhi Xiaoban Mixture on atherosclerosis and the potential role of long non-coding RNA(Linc RNA)in anti-atherosclerosis.METHODS A model of atherosclerosis was established in SD rats subjec-ted to a high-fat diet.At 4 weeks post-modeling,thoracic aortic tissues from atherosclerotic rats were collected for hematoxylin-eosin(HE)staining to systematically evaluate the anti-atherosclerotic effects of Tiaozhi Xiaoban Mixture at different doses.Biochemical kits were utilized to assess relevant indices related to blood lipid levels as well as liver and kidney function,thereby evaluating the impact of Tiaozhi Xiaoban Mixture on these parameters.Enzyme-linked immunosorbent assay(ELISA)was employed to measure serum inflam-mation markers influenced by Tiaozhi Xiaoban Mixture.Additionally,TUNEL staining and Western blot analysis were conducted to ex-amine the apoptotic effects of Tiaozhi Xiaoban Mixture on thoracic aorta tissue.Finally,qPCR was used to detect the expression levels of Line-HC,MALAT1,etc.,in order to evaluate how Tiaozhi Xiaoban Mixture affecting these specific RNA molecules.RESULTS Following treatment with Tiaozhi Xiaoban Mixture,the blood lipid profiles indicated that total cholesterol(TC),triglycerides(TG),and low-density lipoprotein cholesterol(LDL-C)were significantly down-regulated(P＜0.05,P＜0.01),while high-density lipopro-tein cholesterol(HDL-C)levels were up-regulated in the atherosclerotic rats.Moreover,serum levels of liver and kidney function markers such as aspartate aminotransferase(AST),alanine aminotransferase(ALT),blood urea nitrogen(BUN),and creatinine(Cr)exhibited down-regulation(P＜0.05,P＜0.01).Additionally,pro-inflammatory factors including interleukin-6(IL-6),interleukin-1 beta(IL-1β),tumor necrosis factor-alpha(TNF-α),high-sensitivity C-reactive protein(hs-CRP),and matrix metallopeptidase 9(MMP-9)were also reduced(P＜0.01),whereas the anti-inflammatory factor interleukin-10(IL-10)was found to be elevated(P＜0.01).Furthermore,after oral administration of Tiaozhi Xiaoban Mixture,expression levels of apoptosis-related factors NLRP3,ASC,Cleaved Caspase-1,Cleaved IL-1 β,Puma,Bax,Noxa,and MDM2 in thoracic aorta tissues from the atherosclerotic rats showed sig-nificant down-regulation(P＜0.05,P＜0.01).Notably,following treatment with Tiaozhi Xiaoban Mixture,mRNA levels of Linc-HC decreased while mRNA expression of MALAT1 increased(P＜0.05,P＜0.01).CONCLUSION Tiaozhi Xiaoban Mixture may inhibit the expression of Linc-HC and up-regulate the expression of MALAT1 to reduce the formation of atherosclerotic plaque,improve ab-normal blood lipids and liver and kidney function,alleviate inflammation and inhibit apoptosis.

Objective:To observe the effectiveness of extracorporeal counterpulsation therapy in patients with heart failure in ischaemic cardiomyopathy.Methods:A total of 112 patients with ischemic cardiomyopathy and heart failure admitted to the Second Affiliated Hospital of Xingtai Medical College from August 2020 to June 2023 were prospectively selected and divided into two groups by random number table method. The control group was treated with conventional drugs and conventional cardiac rehabilitation program, and the observation group was combined with external counterbeating therapy on the basis of the control group. The levels of N-terminal B-type brain natriuretic peptide (NTproBNP), soluble growth stimulation-expression gene-2 protein (sST2), neutrophil gelatinase-associated lipid carrier protein (NGAL), galactin-3 (Gal-3), cardiopulmonary exercise test (CPET) parameters and cardiac ultrasound indexes were compared between the two groups before and after treatment. The curative effect and the rate of re-hospitalization within 6 months were compared between the two groups.Results:After treatment, the levels of NTproBNP, sST2, NGAL and Gal-3 in the observation group were lower than those in the control group: (1941.36 ± 312.59) ng/L vs. (2674.22 ± 404.64) ng/L, (44.78 ± 3.97) ng/L vs. (52.45 ± 4.13) ng/L, (22.63 ± 3.65) μg/L vs. (26.41 ± 3.77) μg/L, (4.63 ± 1.29) ng/L vs. (6.11 ± 1.78) ng/L, there were statistical differences ( P<0.05); the maximum kilogram oxygen uptake (VO 2max/kg), maximum kilogram oxygen uptake as a percentage of predicted value (VO 2max/kg%pred), maximum minute ventilation as a percentage of predicted value (VEmax%pred) in the observation group were higher than those in the control group: (22.41 ± 2.23) ml/(min·kg) vs. (21.35 ± 2.09) ml/(min·kg), (83.79 ± 11.04)% vs. (78.74 ± 10.14)%, (88.95 ± 12.74)% vs. (75.45 ± 11.14)%, there were statistical differences ( P<0.05 or <0.01); the left ventricular ejection fraction (LVEF) in the observation group was higher than that in the control group and the left ventricular posterior wall thickness (LVPWT) and left ventricular posterior wall end-systolic thickness (PWS) were lower than those in the control group: (50.12 ± 3.87)% vs. (48.63 ± 3.74)%, (8.77 ± 1.58) mm vs. (9.63 ± 1.97) mm, (9.34 ± 1.54) mm vs. (10.14 ± 1.79) mm, there were statistical differences ( P<0.05). There was no statistical difference in the total effective rate between the two groups ( P>0.05). The patient readmission rate within 6 months of follow-up in the observation group was lower than that in the control group: 5.45%(3/55) vs. 20.00%(11/55), there was statistical difference( χ2 = 5.24, P<0.05). Conclusions:Extracorporeal counterpulsation therapy for the treatment of heart failure in ischaemic cardiomyopathy can improve the cardiorespiratory function, reduce the expression of NTproBNP, sST2, NGAL and Gal-3, and decrease the patient readmission rate.

Objective To analyze the risk factors affecting the prognosis of patients with advanced gastric cancer,so as to provide evidence for identifying high-risk populations and guiding clinical treatment.Methods The clinical data of 282 patients with advanced gastric cancer who admitted to Zhoushan Hospital of Traditional Chinese Medicine from January 2017 to December 2021 were retrospectively analyzed.The survival outcome of patients was obtained by telephone follow-up and regular review.Kaplan-Meier method was used to analyze the overall survival(OS).Univariate and multivariate COX regression models were used to analyze the effects of clinical features on OS in patients with advanced gastric cancer.Results The median OS of 282 patients with advanced gastric cancer was 10.0 months.Univariate analysis showed that first-line chemotherapy,traditional Chinese medicine treatment,body mass index(BMI),Karnofsky performance status(KPS)score,hemoglobin(Hb)and albumin(Alb)were significantly correlated with the survival of patients with advanced gastric cancer(P<0.05).Multivariate COX regression models analysis showed that first-line chemotherapy,BMI,KPS score and Alb were independent risk factors affecting the survival of patients with advanced gastric cancer(P<0.05).Conclusion BMI,Alb,KPS score and first-line chemotherapy are independent risk factors for predicting the prognosis of patients with advanced gastric cancer,indicating nutrition management may be an important way to improve the outcome of patients with advanced gastric cancer.

Objective To evaluate the effectiveness and safety of edaravone combined with oxiracetam in the treatment of acute cere-bral infarction.Methods PubMed,Embase,Cochrane Library,CNKI,Wanfang Data and other databases were comprehensively searched from database inception until October 27,2022,to collect randomized controlled trials of edaravone combined with oxiracetam in the treatment of acute cerebral infarction(ACI).RevMan5.4software was used to analyze the collected data.Results A total of9studies involving 887 patients were included.Meta-analysis results showed that the overall effective rate and Barthel index in the observation group were significantly higher than those in the control group(OR=4.66,95％CI:2.74-7.93,P＜0.001;MD=14.57,95％CI:8.58-20.56,P＜0.001),the NIHSS scores in the observation group were significantly lower than that in the control group(MD=-5.28,95％CI:-6.42--4.13,P＜0.001).There was no significant difference in adverse effect rate between the two groups(RR=1.11,95％CI:0.63-1.95,P=0.72).Conclusion The combination of edaravone and oxiracetam in the treatment of ACI can significantly reduce NIHSS scores,and improve Barthel index and overall effective rate.The efficacy is better than edaravone alone,and a more comprehensive evaluation of safety is needed in the future.

Somatostatin (SST) is an inhibitory polypeptide hormone that plays an important role in a variety of biological processes. Somatostatin receptor 2 (SSTR2) is the most widely expressed somatostatin receptor. However, the specific cell types expressing Sstr2 in the tissues have not been investigated. In this study, we detected the expression pattern of SSTR2 protein in mouse at different development stages, including the embryonic 15.5 days and the postnatal 1, 7, 15 days as well as 3 and 6 months, by multicolour immunofluorescence analyses. We found that Sstr2 was expressed in some specific cells types of several tissues, including the neuronal cells and astrocytes in the brain, the mesenchymal cells, the hematopoietic cells, the early hematopoietic stem cells, and the B cells in the bone marrow, the macrophages, the type Ⅱ alveolar epithelial cells, and the airway ciliated cells in the lung, the epithelial cells and the neuronal cells in the intestine, the hair follicle cells, the gastric epithelial cells, the hematopoietic stem cells and the nerve fibre in the spleen, and the tubular epithelial cells in the kidney. This study identified the specific cell types expressing Sstr2 in mouse at different developmental stages, providing new insights into the physiological function of SST and SSTR2 in several cell types.
Mice ; Animals ; Receptors, Somatostatin/metabolism* ; Hematopoietic Stem Cells/metabolism* ; Epithelial Cells

Recently, deep learning has achieved impressive results in medical image tasks. However, this method usually requires large-scale annotated data, and medical images are expensive to annotate, so it is a challenge to learn efficiently from the limited annotated data. Currently, the two commonly used methods are transfer learning and self-supervised learning. However, these two methods have been little studied in multimodal medical images, so this study proposes a contrastive learning method for multimodal medical images. The method takes images of different modalities of the same patient as positive samples, which effectively increases the number of positive samples in the training process and helps the model to fully learn the similarities and differences of lesions on images of different modalities, thus improving the model's understanding of medical images and diagnostic accuracy. The commonly used data augmentation methods are not suitable for multimodal images, so this paper proposes a domain adaptive denormalization method to transform the source domain images with the help of statistical information of the target domain. In this study, the method is validated with two different multimodal medical image classification tasks: in the microvascular infiltration recognition task, the method achieves an accuracy of (74.79 ± 0.74)% and an F1 score of (78.37 ± 1.94)%, which are improved as compared with other conventional learning methods; for the brain tumor pathology grading task, the method also achieves significant improvements. The results show that the method achieves good results on multimodal medical images and can provide a reference solution for pre-training multimodal medical images.
Humans ; Algorithms ; Brain/diagnostic imaging* ; Brain Neoplasms/diagnostic imaging* ; Recognition, Psychology

Microplastics pollution has attracted worldwide attention. Compared with the status quo of microplastics pollution in marine environment and other major rivers and lakes, the relevant data of the Yellow River basin is relatively inadequate. The abundance, types, and spatial distribution characteristics of microplastic pollution in the sediments and surface water of the Yellow River basin were reviewed. Meanwhile, the status of microplastic pollution in the national central city and Yellow River Delta wetland was discussed, and the corresponding prevention and control measures were put forward. The results showed that the spatial distribution of microplastics pollution in sediments and surface water of the Yellow River basin increased from upstream to downstream, especially in the Yellow River Delta wetland. There are obvious differences between the types of microplastics in sediment and surface water in the Yellow River basin, which is mainly related to the materials of microplastics. Compared with similar regions in China, the microplastics pollution levels in national key cities and national wetland parks in the Yellow River basin are in the medium to high degree, which should be taken seriously. Plastics exposure through various ways will cause serious impact on aquaculture and human health in the Yellow River beach area. To control microplastic pollution in the Yellow River basin, it is necessary to improve the relevant production standards, laws and regulations, and improve the capacity of biodegradable microplastics and the degradation capacity of plastic wastes.
Humans ; Microplastics ; Plastics ; Water Pollutants, Chemical/analysis* ; Environmental Monitoring/methods* ; Water ; China

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