[Objectives]The paper was to investigate the mechanism by which Pereskia aculeata Mill.regulates ferroptosis and interferes with colon cancer using network pharmacology.[Methods]The effect of P.aculeata on HCT116 cell...[Objectives]The paper was to investigate the mechanism by which Pereskia aculeata Mill.regulates ferroptosis and interferes with colon cancer using network pharmacology.[Methods]The effect of P.aculeata on HCT116 cells was observed by examining cell morphology.The intersection of P.aculeata,colon cancer,and ferroptosis targets was determined using the Venny 2.1.0 online platform.DAVID database was used to perform GO and KEGG enrichment analyses.Cytoscape_v3.10.0 was used for network mapping and PPI analysis.[Results]The observation of cell morphology indicated that P.aculeata suppressed the growth of HCT116 cells.GO and KEGG analysis identified 67 genes involved in potential pathways,including the MAPK signaling pathway and Apoptosis,18 of which were located on the MAPK pathway.After conducting PPI visualization analysis and ranking based on Degree values,we identified TP53,TNF,EGFR,MAPK14,and AKT1 as the top five targets with the highest Degree values.[Conclusions]P.aculeata may activate the p53 gene through the MAPK signaling pathway,inducing ferroptosis and ultimately resulting in tumor cell death.展开更多
BACKGROUND Small intestinal vascular malformations(angiodysplasias)are common causes of small intestinal bleeding.While capsule endoscopy has become the primary diagnostic method for angiodysplasia,manual reading of t...BACKGROUND Small intestinal vascular malformations(angiodysplasias)are common causes of small intestinal bleeding.While capsule endoscopy has become the primary diagnostic method for angiodysplasia,manual reading of the entire gastrointestinal tract is time-consuming and requires a heavy workload,which affects the accuracy of diagnosis.AIM To evaluate whether artificial intelligence can assist the diagnosis and increase the detection rate of angiodysplasias in the small intestine,achieve automatic disease detection,and shorten the capsule endoscopy(CE)reading time.METHODS A convolutional neural network semantic segmentation model with a feature fusion method,which automatically recognizes the category of vascular dysplasia under CE and draws the lesion contour,thus improving the efficiency and accuracy of identifying small intestinal vascular malformation lesions,was proposed.Resnet-50 was used as the skeleton network to design the fusion mechanism,fuse the shallow and depth features,and classify the images at the pixel level to achieve the segmentation and recognition of vascular dysplasia.The training set and test set were constructed and compared with PSPNet,Deeplab3+,and UperNet.RESULTS The test set constructed in the study achieved satisfactory results,where pixel accuracy was 99%,mean intersection over union was 0.69,negative predictive value was 98.74%,and positive predictive value was 94.27%.The model parameter was 46.38 M,the float calculation was 467.2 G,and the time length to segment and recognize a picture was 0.6 s.CONCLUSION Constructing a segmentation network based on deep learning to segment and recognize angiodysplasias lesions is an effective and feasible method for diagnosing angiodysplasias lesions.展开更多
[Objectives]To study the effect of Huanglian Jiedu Decoction on the behavior of zebrafish with Alzheimer's disease caused by AlCl 3.[Methods]Each portion of Huanglian Jiedu Decoction was prepared according to the ...[Objectives]To study the effect of Huanglian Jiedu Decoction on the behavior of zebrafish with Alzheimer's disease caused by AlCl 3.[Methods]Each portion of Huanglian Jiedu Decoction was prepared according to the proportion of Coptis chinensis∶Phellodendron chinense Rupr.∶Scutellaria baicalensis Georgi∶Gardenia jasminoides Ellis=63 g∶42 g∶42 g∶63 g.After that,each portion of Huanglian Jiedu Decoction was soaked in 6.3 L water for 30 min and boiled twice at 100℃.The extracts were combined twice and filtered,then concentrated to 308 g/L and put into refrigerator for later use.Before training,zebrafishes were put into T-maze to adapt for 2 d,and then behavioral training was carried out for 7 d.After video recording,the behavior of zebrafish was analyzed by Smart 3.0,and qualified zebrafishes were selected for follow-up experiments.Then 60 successfully trained zebrafishes were randomly divided into control group,model group,positive group,low-dose group,medium-dose group and high-dose group of Huanglian Jiedu Decoction.Except for the control group,all the other groups were exposed to 100μg/L AlCl 3 for 7 d.After that,video was recorded,and behavioral analysis was carried out with behavioral record and analysis software Smart 3.0.And then the zebrafishes in the other four groups except the model group were treated with Huperzine A(4μg/L)and Huanglian Jiedu Decoction(154,308,616 mg/L)for 6 d,respectively.After that,it was recorded and the behavior of each group was analyzed.[Results]There was a significant difference in the time spent in the left area and the percentage of time in the left area between the control group and the model group(P<0.001).The time spent in the left area and the percentage of time in the left area in the model group and positive group,low,medium and high dose groups of Huanglian Jiedu Decoction decreased significantly(P<0.05,P<0.01,P<0.001).The swimming distance in the left area and the percentage of swimming distance in the left area in the model group were significantly higher than those in the control group(P<0.001).There was a significant difference in swimming distance between model group and positive group,low,medium and high dose groups of Huanglian Jiedu Decoction(P<0.01,P<0.001).In the percentage of swimming distance in the left area,there was a significant difference between the model group and the low and high dose groups of Huanglian Jiedu Decoction(P<0.01,P<0.001).[Conclusions]Huanglian Jiedu Decoction can improve the behavior of zebrafish with Alzheimer's disease.展开更多
基金Supported by National Natural Science Foundation of China(82160832)the Open Project Program of Guangxi Key Laboratory of Brain and Cognitive Neuroscience,Guilin Medical University(GKLBCN-202206-02)+2 种基金Annual Scientific Research Project of Guangdong Provincial Administration of Traditional Chinese Medicine in 2022(20222138)the Fourth Training Plan for Thousands of Young and Mid-aged Mainstay Teachers in Guangxi Colleges and Universitiesthe Innovation and Entrepreneurship Training Program for College Students in Guilin Medical University in 2023(X202310601232,S202310601140,202210601214).
文摘[Objectives]The paper was to investigate the mechanism by which Pereskia aculeata Mill.regulates ferroptosis and interferes with colon cancer using network pharmacology.[Methods]The effect of P.aculeata on HCT116 cells was observed by examining cell morphology.The intersection of P.aculeata,colon cancer,and ferroptosis targets was determined using the Venny 2.1.0 online platform.DAVID database was used to perform GO and KEGG enrichment analyses.Cytoscape_v3.10.0 was used for network mapping and PPI analysis.[Results]The observation of cell morphology indicated that P.aculeata suppressed the growth of HCT116 cells.GO and KEGG analysis identified 67 genes involved in potential pathways,including the MAPK signaling pathway and Apoptosis,18 of which were located on the MAPK pathway.After conducting PPI visualization analysis and ranking based on Degree values,we identified TP53,TNF,EGFR,MAPK14,and AKT1 as the top five targets with the highest Degree values.[Conclusions]P.aculeata may activate the p53 gene through the MAPK signaling pathway,inducing ferroptosis and ultimately resulting in tumor cell death.
基金Chongqing Technological Innovation and Application Development Project,Key Technologies and Applications of Cross Media Analysis and Reasoning,No.cstc2019jscx-zdztzxX0037.
文摘BACKGROUND Small intestinal vascular malformations(angiodysplasias)are common causes of small intestinal bleeding.While capsule endoscopy has become the primary diagnostic method for angiodysplasia,manual reading of the entire gastrointestinal tract is time-consuming and requires a heavy workload,which affects the accuracy of diagnosis.AIM To evaluate whether artificial intelligence can assist the diagnosis and increase the detection rate of angiodysplasias in the small intestine,achieve automatic disease detection,and shorten the capsule endoscopy(CE)reading time.METHODS A convolutional neural network semantic segmentation model with a feature fusion method,which automatically recognizes the category of vascular dysplasia under CE and draws the lesion contour,thus improving the efficiency and accuracy of identifying small intestinal vascular malformation lesions,was proposed.Resnet-50 was used as the skeleton network to design the fusion mechanism,fuse the shallow and depth features,and classify the images at the pixel level to achieve the segmentation and recognition of vascular dysplasia.The training set and test set were constructed and compared with PSPNet,Deeplab3+,and UperNet.RESULTS The test set constructed in the study achieved satisfactory results,where pixel accuracy was 99%,mean intersection over union was 0.69,negative predictive value was 98.74%,and positive predictive value was 94.27%.The model parameter was 46.38 M,the float calculation was 467.2 G,and the time length to segment and recognize a picture was 0.6 s.CONCLUSION Constructing a segmentation network based on deep learning to segment and recognize angiodysplasias lesions is an effective and feasible method for diagnosing angiodysplasias lesions.
基金Supported by National Natural Science Foundation of China(82160832)Natural Science Foundation of Guangxi Zhuang Autonomous Region(2017GXNSFAA198255,2018GXNSFBA138028)+2 种基金the Open Project Program of Guangxi Key Laboratory of Brain and Cognitive Neuroscience,Guilin Medical University(GKLBCN-202206-02,GKLBCN-202206-05)2022 Annual Scientific Research Project of Guangdong Provincial Administration of Traditional Chinese Medicine(20222138)the Fourth Training Plan for Thousands of Young and Mid-aged Mainstay Teachers in Guangxi Colleges and Universities,and the Innovation and Entrepreneurship Training Program for College Students in Guilin Medical University in 2022(202210601214).
文摘[Objectives]To study the effect of Huanglian Jiedu Decoction on the behavior of zebrafish with Alzheimer's disease caused by AlCl 3.[Methods]Each portion of Huanglian Jiedu Decoction was prepared according to the proportion of Coptis chinensis∶Phellodendron chinense Rupr.∶Scutellaria baicalensis Georgi∶Gardenia jasminoides Ellis=63 g∶42 g∶42 g∶63 g.After that,each portion of Huanglian Jiedu Decoction was soaked in 6.3 L water for 30 min and boiled twice at 100℃.The extracts were combined twice and filtered,then concentrated to 308 g/L and put into refrigerator for later use.Before training,zebrafishes were put into T-maze to adapt for 2 d,and then behavioral training was carried out for 7 d.After video recording,the behavior of zebrafish was analyzed by Smart 3.0,and qualified zebrafishes were selected for follow-up experiments.Then 60 successfully trained zebrafishes were randomly divided into control group,model group,positive group,low-dose group,medium-dose group and high-dose group of Huanglian Jiedu Decoction.Except for the control group,all the other groups were exposed to 100μg/L AlCl 3 for 7 d.After that,video was recorded,and behavioral analysis was carried out with behavioral record and analysis software Smart 3.0.And then the zebrafishes in the other four groups except the model group were treated with Huperzine A(4μg/L)and Huanglian Jiedu Decoction(154,308,616 mg/L)for 6 d,respectively.After that,it was recorded and the behavior of each group was analyzed.[Results]There was a significant difference in the time spent in the left area and the percentage of time in the left area between the control group and the model group(P<0.001).The time spent in the left area and the percentage of time in the left area in the model group and positive group,low,medium and high dose groups of Huanglian Jiedu Decoction decreased significantly(P<0.05,P<0.01,P<0.001).The swimming distance in the left area and the percentage of swimming distance in the left area in the model group were significantly higher than those in the control group(P<0.001).There was a significant difference in swimming distance between model group and positive group,low,medium and high dose groups of Huanglian Jiedu Decoction(P<0.01,P<0.001).In the percentage of swimming distance in the left area,there was a significant difference between the model group and the low and high dose groups of Huanglian Jiedu Decoction(P<0.01,P<0.001).[Conclusions]Huanglian Jiedu Decoction can improve the behavior of zebrafish with Alzheimer's disease.
