Objective To investigate the effect and mechanism of Efferocytosis Relatived LncRNA (EFRL) on homocysteine-induced atherosclerosis in macrophage efferocytosis. Methods RAW264.7 cells were cultured in vitro, and the Control group (0 μmol/L Hcy) and Hcy intervention group (100 μmol/L Hcy) were set up. After GapmeR transfection of macrophages with Hcy intervention, EFRL knockdown negative control group (Hcy combined with LNA-NC) and EFRL knockdown group (Hcy combined with LNA-EFRL) were set up. High-throughput sequencing was applied for different expression of LncRNA MSTRG. 88917.16 (EFRL), UCSC was used to analyze its conservation, CPC and CPAT were used to analyze its ability to encode proteins, and GO and KEGG were used to analyze related biological functions. The localization of LncRNA EFRL in macrophages was analyzed by nucleoplasmic separation and RNA-FISH. Quantitative real-time PCR was used to detect the expression levels of LncRNA EFRL and its target gene SPAST in Hcy-treated macrophages. The apoptosis rate of Jurkat cells induced by UV was detected by flow cytometry. In vitro efferocytosis assay combined with immunofluorescence technique was used to analyze macrophage efferocytosis. ELISA was used to detect the levels of interleukin 1β(IL-1β) and IL-18. Results The new LncRNA MSTRG.88917.16 was identified and named EFRL(Efferocytosis Relatived LncRNA). UCSC, CPC and CPAT analyses showed that LncEFRL is highly conserved and does not have the ability to encode proteins. GO and KEGG analyses suggested that LncEFRL may be involved in macrophage efferocytosis. LncRNA EFRL was localized in the nucleus of macrophages as determined by nucleoplasmic separation and RNA-FISH. In comparison to the Control group, the expression levels of LncRNA EFRL and its target gene SPAST in the Hcy group were increased. In comparison to the Control group (0 min), the apoptosis rate of the experimental group (15, 30 min) Annexin V is more than 85%. Compared with Hcy combined with LNA-NC group, Hcy combined with LNA-EFRL group had enhanced macrophage efferocytosis and reduced levels of inflammatory factors. Compared with Hcy combined with LNA-NC group, the expression level of SPAST in Hcy combined with LNA-EFRL group was decreased. Conclusion Inhibition of EFRL expression can alleviate the process of Hcy inhibiting macrophage efferocytosis, and the mechanism is related to the regulation of the downstream target gene SPAST by EFRL.
RNA, Long Noncoding/physiology* ; Animals ; Homocysteine ; Mice ; Macrophages/drug effects* ; Humans ; RAW 264.7 Cells ; Atherosclerosis/chemically induced* ; Apoptosis/genetics* ; Phagocytosis/genetics* ; Jurkat Cells ; Interleukin-1beta/genetics* ; Efferocytosis

Objective:To investigate the application value of nasolabial flaps in addressing tissue defects after resection of benign and malignant nasal vestibular lesions. Methods:The clinical data of patients with benign and malignant nasal vestibular lesions were analyzed retrospectively. There were 4 cases of squamous cell carcinoma, 2 cases of black hairy nevus and 1 case of chronic proliferative inflammatory lesions, all of which were repaired by adjacent nasolabial flap. Results:After 6 months of follow-up, none of the patients developed nasal vestibular contracture or nostril stenosis, and postoperative nasal ventilation function was good. Conclusion:The preoperative design of individual nasolabial flaps is very important for maintaining maxillofacial aesthetics, protectingthe nasolabial framework, and preserving postoperative nasal ventilation function.
Humans ; Retrospective Studies ; Middle Aged ; Nose Neoplasms/surgery* ; Surgical Flaps ; Male ; Female ; Adult ; Nose/surgery* ; Plastic Surgery Procedures/methods* ; Carcinoma, Squamous Cell/surgery* ; Aged ; Skin Transplantation

Cardiovascular disease has become a significant cause of death in cancer patients,partly due to the cardiovascular toxicity of cancer treatments.The referral of cardio-oncology can improve the cardiovascular health of cancer patients,and develop strategies for prevention,management,and treatment of cardiovascular toxicity induced by cancer treatment.This article summarizes the strategies and status in the referral of cardio-oncology,and proposes development suggestions for the referral model of cardio-oncology,in order to improve the awareness of medical staffin implementing referral of cardio-oncology and provide a basis for promoting the development of the referral model of cardio-oncology.

BACKGROUND:Previous studies found that the proliferative scar-specific long non-coding RNA lncRNA HSFAS is a novel biomarker that can be used in the diagnosis of hypertrophic scar,but how it functions in hypertrophic scar is not clear. OBJECTIVE:To investigate the role and mechanism of lncRNA HSFAS in hypertrophic scar.METHODS:Fresh scar tissue and surrounding normal skin tissue samples from three patients with hypertrophic scar were collected,and tissue immunofluorescence was used to detect the expression of lncRNA HSFAS in frozen sections of two skin tissues. Primary fibroblasts were isolated from proliferative scarred skin tissue and normal skin tissue and cultured by enzyme digestion method. Quantitative real-time PCR was used to detect the mRNA expression of lncRNA HSFAS in cells. The proteins bound to lncRNA HSFAS were detected by RNA pull-down combined mass spectrometry. GO and KEGG were used to analyze the main functions and pathways of lncRNA HSFAS involved in hypertrophic scar progression. The targeted binding of lncRNA HSFAS to proteins was determined by catRAPID and RPISeq website analysis. RESULTS AND CONCLUSION:Compared with normal skin tissue and fibroblasts from normal skin tissue,the expression of lncRNA HSFAS in human hypertrophic scar tissue and primary fibroblasts from hypertrophic scar tissue was significantly increased (P<0.05). There were 510 proteins clearly bound to lncRNA HSFAS by RNA pull-down combined mass spectrometry. The results of GO and KEGG analyses showed that these proteins were mainly involved in RNA splicing and processing,chromosome synthesis and separation,and cell cycle. Among them,the proteins involved in RNA splicing and processing included scaffold attachment factor B2 and DICER1,and the binding fraction with lncRNA HSFAS was higher. The results of bioinformatics analysis showed that lncRNA HSFAS was bound to scaffold attachment factor B2 and DICER1 proteins. To conclude,lncRNA HSFAS may affect gene expression by interacting with scaffold attachment factor B2 and DICER1 proteins to regulate RNA splicing and processing modification,thus promoting the occurrence and development of hypertrophic scar.

This paper reviews the main contents, characteristics, applications, advantages and limitations of self-management assessment tools for hypertension patients, comparatively analyzes the basic conditions and applications of the existing assessment tools and makes suggestions, with a view to providing references for healthcare professionals in China to select, develop and apply self-management assessment tools for hypertension patients.

Cardiovascular disease has become a significant cause of death in cancer patients,partly due to the cardiovascular toxicity of cancer treatments.The referral of cardio-oncology can improve the cardiovascular health of cancer patients,and develop strategies for prevention,management,and treatment of cardiovascular toxicity induced by cancer treatment.This article summarizes the strategies and status in the referral of cardio-oncology,and proposes development suggestions for the referral model of cardio-oncology,in order to improve the awareness of medical staffin implementing referral of cardio-oncology and provide a basis for promoting the development of the referral model of cardio-oncology.

Objective To explore the diagnostic and prognostic relevance of genes associated with trastuzumab resistance and sensitivity in gastric cancer using machine learning algorithms.Methods The data on resistant and sensitive genes were downloaded from the GEO database and subjected to functional enrichment analysis.Intersection analysis was performed using TCGA and GEO data to identify feature genes related to gastric cancer drug-resistance.LASSO and SVM-RFE methods were used for feature gene selection.The expressions of these feature genes were detected in both test and validation groups,and their diagnostic value was analyzed using receiver operating characteristic curves.The prognostic value of SH3GL2 was assessed using online databases,and its role in patient survival was further explored.CIBERSORT algorithm was used to evaluate the relationship between SH3GL2 and immune cell infiltration in gastric cancer,and analyze its effect on immune microenvironment.Results Fifteen resistance-related genes were identified,and 12 diagnostic biomarkers related to gastric cancer were selected through machine learning,including MMP7,COCH,VCAN,SH3GL2,SYNM,KLK6,STC2,PPP1R1B,CDH3,WNT11,PMEPA1,and BCAT1.SH3GL2 showed low expression in both test and validation groups,and its high expression was associated with poorer prognosis in gastric cancer(P<0.01).SH3GL2 expression level was related to various immune cells(activated CD8+T cells,activated DC cells)and showed positive correlations with immune suppressive factors(such as TGFB1,VTCN1)and negative correlations with immune stimulatory factors(such as CD70,CD80).Conclusion The 12 selected feature genes can serve as potential diagnostic biomarkers for gastric cancer.SH3GL2 has a low expression in gastric cancer,and its high expression might shorten patient survival by inhibiting anti-tumor immunity.

BACKGROUND:Previous studies found that the proliferative scar-specific long non-coding RNA lncRNA HSFAS is a novel biomarker that can be used in the diagnosis of hypertrophic scar,but how it functions in hypertrophic scar is not clear. OBJECTIVE:To investigate the role and mechanism of lncRNA HSFAS in hypertrophic scar.METHODS:Fresh scar tissue and surrounding normal skin tissue samples from three patients with hypertrophic scar were collected,and tissue immunofluorescence was used to detect the expression of lncRNA HSFAS in frozen sections of two skin tissues. Primary fibroblasts were isolated from proliferative scarred skin tissue and normal skin tissue and cultured by enzyme digestion method. Quantitative real-time PCR was used to detect the mRNA expression of lncRNA HSFAS in cells. The proteins bound to lncRNA HSFAS were detected by RNA pull-down combined mass spectrometry. GO and KEGG were used to analyze the main functions and pathways of lncRNA HSFAS involved in hypertrophic scar progression. The targeted binding of lncRNA HSFAS to proteins was determined by catRAPID and RPISeq website analysis. RESULTS AND CONCLUSION:Compared with normal skin tissue and fibroblasts from normal skin tissue,the expression of lncRNA HSFAS in human hypertrophic scar tissue and primary fibroblasts from hypertrophic scar tissue was significantly increased (P<0.05). There were 510 proteins clearly bound to lncRNA HSFAS by RNA pull-down combined mass spectrometry. The results of GO and KEGG analyses showed that these proteins were mainly involved in RNA splicing and processing,chromosome synthesis and separation,and cell cycle. Among them,the proteins involved in RNA splicing and processing included scaffold attachment factor B2 and DICER1,and the binding fraction with lncRNA HSFAS was higher. The results of bioinformatics analysis showed that lncRNA HSFAS was bound to scaffold attachment factor B2 and DICER1 proteins. To conclude,lncRNA HSFAS may affect gene expression by interacting with scaffold attachment factor B2 and DICER1 proteins to regulate RNA splicing and processing modification,thus promoting the occurrence and development of hypertrophic scar.

This paper reviews the main contents, characteristics, applications, advantages and limitations of self-management assessment tools for hypertension patients, comparatively analyzes the basic conditions and applications of the existing assessment tools and makes suggestions, with a view to providing references for healthcare professionals in China to select, develop and apply self-management assessment tools for hypertension patients.

Objective To explore the diagnostic and prognostic relevance of genes associated with trastuzumab resistance and sensitivity in gastric cancer using machine learning algorithms.Methods The data on resistant and sensitive genes were downloaded from the GEO database and subjected to functional enrichment analysis.Intersection analysis was performed using TCGA and GEO data to identify feature genes related to gastric cancer drug-resistance.LASSO and SVM-RFE methods were used for feature gene selection.The expressions of these feature genes were detected in both test and validation groups,and their diagnostic value was analyzed using receiver operating characteristic curves.The prognostic value of SH3GL2 was assessed using online databases,and its role in patient survival was further explored.CIBERSORT algorithm was used to evaluate the relationship between SH3GL2 and immune cell infiltration in gastric cancer,and analyze its effect on immune microenvironment.Results Fifteen resistance-related genes were identified,and 12 diagnostic biomarkers related to gastric cancer were selected through machine learning,including MMP7,COCH,VCAN,SH3GL2,SYNM,KLK6,STC2,PPP1R1B,CDH3,WNT11,PMEPA1,and BCAT1.SH3GL2 showed low expression in both test and validation groups,and its high expression was associated with poorer prognosis in gastric cancer(P<0.01).SH3GL2 expression level was related to various immune cells(activated CD8+T cells,activated DC cells)and showed positive correlations with immune suppressive factors(such as TGFB1,VTCN1)and negative correlations with immune stimulatory factors(such as CD70,CD80).Conclusion The 12 selected feature genes can serve as potential diagnostic biomarkers for gastric cancer.SH3GL2 has a low expression in gastric cancer,and its high expression might shorten patient survival by inhibiting anti-tumor immunity.