Urticarial vasculitis is a skin disease with urticaria-like lesions and a histopathological pattern of leukocytoclastic vasculitis. It is considered a "hidden rash" in traditional Chinese medicine. Xuanfu is the portal that regulates qi, blood, fluid, and the ascending, descending, exiting, and entering of nutrition qi and defensive qi. Collaterals are the pathways for the circulation of qi and blood. The two accompany each other, connecting zang-fu organs, reaching the surfaces of the skin, hair, and external body, circulating qi and fluid, and moistening and protecting the skin. Based on the theory of Xuanfu-collateral, this study aimed to clarify the etiology, pathogenesis, and treatment method of urticarial vasculitis. External assault by wind and Xuanfu blockage are believed to be the initiating factors of this disease. The malnutrition of Xuanfu and collaterals and accumulated dampness-heat are important links in the occurrence and development of urticarial vasculitis. It spreads from Xuanfu to the collaterals, and blockage of the collaterals is the immanent trend of this disease. Clinically, by closely adhering to the core pathogenesis of blockage of Xuanfu-collateral, treatment method such as using wind medicinals to open Xuanfu with pungent and dispersing properties, using the method of supplement deficiency and removing the blockage, and using medicinals to promote blood circulation and remove blood stasis to unblock the blocked collaterals. The herbs are flexibly added or subtracted to unblock Xuanfu and collaterals, harmonize qi and blood, thus all symptoms can be relieved. We hope that this study will provide new ideas for the treatment of urticarial vasculitis with traditional Chinese medicine.

Objective:To invastigate the targets and signaling pathways of Gubiao Fanggan Modified Formula in regulating the defense against influenza A virus in immunosuppressed mice by network pharmacology,and the key targets were verified by immuno-suppressive mice model.Methods:TCMSP database was used to search the active ingredients of Gubiao Fanggan Modified Formula,and GeneCard,OMIM,PharmGkb databases were used to obtain the potential targets of the active ingredients to prevent influenza,and take their intersection targets were taken;STRING11.5 database was used to make protein-protein interaction network analyzed and finded the core targets;Cytoscape3.8.1 was used to build a traditional Chinese medicine-ingredient-disease target network,and GO enrichment analysis and KEGG enrichment analysis were performed.Intraperitoneal injection of cyclophosphamide was used to construct a mouse model of immune function suppression,normal group,model control group,Gubiao Fanggan Modified Formula group and oseltamivir group were set up,followed by prophylactic administration,and influenza virus intervention was performed on the fourth day.After 7 days of intragastric administration,the key targets were verified by mouse spleen index,HE staining,RT-qPCR and immunohistochemistry.Results:There were 82 active ingredients in five traditional Chinese medicines in Gubiao Fanggan Modi-fied Formula,and 72 common targets of drugs and diseases such as IL-6,TNF-α,IL-2,etc,mainly involving IL-17,TNF and AGE-RAGE signaling pathway.Gubiao Fanggan Modified Formula could increase spleen index and significantly reduce mRNA and protein expressions of IL-6 and TNF-α in spleen tissue of mice(P<0.05 or P<0.01).Conclusion:Gubiao Fanggan Modified Formula may regulate body's immune function through targets such as IL-6 and TNF-α,thereby preventing influenza virus infection.

Objective:This study investigates the influence of the apolipoprotein E ε4(APOE ε4)genotype on the relationship between glucose-lipid metabolism disorders and diabetes-related cognitive impairment(DCI).Methods:A case-control study was conducted involving 891 patients with type 2 diabetes mellitus(T2DM)with a mean age of(62.1±13.8)years, all of whom underwent elective surgery at the First Hospital of Shanxi Medical University between January 2017 and December 2022.Among these participants, 229 were diagnosed with DCI(case group), while 662 were cognitively normal(control group).Routine clinical information was collected, and peripheral venous blood samples were analyzed for glycated hemoglobin(HbA1c)and blood lipid levels.The single nucleotide polymorphisms rs429358 and rs7412 were analyzed to determine the presence of the APOE ε4 genotype.Stepwise Logistic regression was employed to identify independent risk factors for DCI, and subgroup analyses were performed to evaluate the effect of the APOE ε4 genotype on the relationship between HbA1c and blood lipid levels in relation to DCI risk. Results:Among all patients, female gender( OR=1.915, 95% CI: 1.393-2.631, P<0.001), longer duration of T2DM( OR=1.169, 95% CI: 1.087-1.257, P<0.001), elevated triglycerides( OR=1.161, 95% CI: 1.041-1.294, P=0.007), and being an APOE ε4 carrier( OR=1.638, 95% CI: 1.115-2.405, P=0.012)were identified as independent risk factors for developing DCI.High levels of low-density lipoprotein(LDL)were found to be independently associated with an increased risk of DCI specifically in APOE ε4 carriers( OR=1.408, 95% CI: 1.060-1.870, P=0.018), but not in non-APOE ε4 carriers( P>0.05).In contrast, elevated HbA1c was independently associated with a higher risk of DCI in non-APOE ε4 carriers( OR=1.220, 95% CI: 1.040-1.430, P=0.014), but not in APOE ε4 carriers( P>0.05).Additionally, elevated triglycerides were independently linked to an increased risk of DCI across the entire sample and within each APOE ε4 genotype subgroup. Conclusions:The APOE genotype plays a significant role in modulating the relationship between dyslipidemia and the risk of developing DCI.This highlights the critical importance of lipid metabolism disorders and APOE risk genes in both the development and progression of DCI.These findings offer valuable insights for future clinical and mechanistic studies focused on DCI.

Objective:To study the differentially expressed genes (DEG) during the differentiation of human induced pluripotent stem cells (hiPSC) and human embryonic stem cells (hESC) into pericytes and endothelial cells, and to identify key molecules and signaling pathways that may regulate this differentiation process.Methods:hiPSC and hESC were selected and expanded using mTeSR medium. A "two-step method" was used to induce the differentiation of hiPSC and hESC into pericytes and endothelial cells. Pericytes were identified using immunofluorescence staining, while endothelial cells were isolated and identified using flow cytometry. Total RNA samples were extracted on days 0, 4, 7, and 10 of differentiation and consistently significant DEGs were screened. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment analysis were performed on the screened DEGs.Results:Both hiPSCs and hESCs successfully differentiated into pericytes and endothelial cells under induction conditions. Transcriptome sequencing results showed that with the extension of differentiation time, the DEGs in hiPSCs and hESCs were significantly upregulated or downregulated, following a generally consistent trend. During the differentiation process, marker genes for pericytes and endothelial cells were significantly upregulated. A total of 491 persistent DEGs were detected in both hiPSC and hESC, with 164 unique to hiPSCs and 335 to hESCs, while 8 DEGs were co-expressed in both cell lines. Among these, SLC30A3, LCK, TNFRSF8, PRDM14, and GLB1L3 showed sustained downregulation, whereas CLEC18C, CLEC18B, and F2RL2 exhibited sustained upregulation. GO enrichment analysis revealed that DEGs with sustained upregulation were primarily enriched in terms related to neurogenesis, differentiation, and developmental proteins, while DEGs with sustained downregulation were enriched in terms related to membrane structure and phospholipid metabolic processes. KEGG pathway analysis showed that upregulated genes were primarily enriched in cancer-related pathways, pluripotency regulatory pathways, the Wnt signaling pathway, and the Hippo signaling pathway, whereas downregulated genes were predominantly enriched in metabolism-related pathways. Conclusions:During the differentiation of hiPSC and hESC into pericytes and endothelial cells, 8 DEGs exhibit sustained specific expression changes. These changes may promote pericyte and endothelial cell differentiation by activating the Wnt and Hippo pathways, inhibiting metabolic pathways, releasing the maintenance of stem cell pluripotency, affecting the cell cycle, and inhibiting cell proliferation.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

Objectives:To investigate the effect of the expression of low-density lipoprotein receptor associated protein (LDLR) on the vascular abnormalities in hepatocellular carcinoma (HCC) and its mechanisms.Methods:Based on the information of Oncomine Cancer GeneChip database, we analyzed the correlation between the expression level of LDLR and the expression level of carcinoembryonic antigen (CEA) and CD31 in hepatocellular carcinoma tissues. Lentiviral transfection of short hairpin RNA target genes was used to construct LDLR-knockdown MHCC-97H and HLE hepatocellular carcinoma cells. The differential genes and their expression level changes in LDLR-knockdown hepatocellular carcinoma cells were detected by transcriptome sequencing, real-time fluorescence quantitative polymerase chain reaction, and protein immunoblotting. The gene-related signaling pathways that involve LDLR were clarified by enrichment analysis. The effect of LDLR on CEA was assessed by the detection of CEA content in conditioned medium of hepatocellular carcinoma cells. Angiogenesis assay was used to detect the effect of LDLR on the angiogenic capacity of human umbilical vein endothelial cells, as well as the role of CEA in the regulation of angiogenesis by LDLR. Immunohistochemical staining was used to detect the expression levels of LDLR in 176 hepatocellular carcinoma tissues, and CEA and CD31 in 146 hepatocellular carcinoma tissues, and analyze the correlations between the expression levels of LDLR, CEA, and CD31 in the tissues, serum CEA, and alanine transaminase (ALT).Results:Oncomine database analysis showed that the expressions of LDLR and CEA in the tissues of hepatocellular carcinoma patients with portal vein metastasis were negatively correlated ( r=-0.64, P=0.001), whereas the expressions of CEA and CD31 in these tissues were positively correlated ( r=0.46, P=0.010). The transcriptome sequencing results showed that there were a total of 1 032 differentially expressed genes in the LDLR-knockdown group and the control group of MHCC-97H cells, of which 517 genes were up-regulated and 515 genes were down-regulated. The transcript expression level of CEACAM5 was significantly up-regulated in the cells of the LDLR-knockdown group. The Gene Ontology (GO) function enrichment analysis showed that the differential genes were most obviously enriched in the angiogenesis function. The Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis showed that the relevant pathways involved mainly included the cellular adhesion patch, the extracellular matrix receptor interactions, and the interactions with the extracellular matrix receptors. The CEA content in the conditioned medium of the LDLR-knockdown group was 43.75±8.43, which was higher than that of the control group (1.15±0.14, P＜0.001). The results of angiogenesis experiments showed that at 5 h, the number of main junctions, the number of main segments, and the total area of the lattice formed by HUVEC cells cultured with the conditioned medium of MHCC-97H cells in the LDLR-knockdown group were 295.3±26.4, 552.5±63.8, and 2 239 781.0±13 8211.9 square pixels, which were higher than those of the control group (113.3±23.5, 194.8±36.5, and 660 621.0±280 328.3 square pixels, respectively, all P＜0.01).The number of vascular major junctions, the number of major segments, and the total area of the lattice formed by HUVEC cells cultured in conditioned medium with HLE cells in the LDLR-knockdown group were 245.3±42.4, 257.5±20.4, and 2 535 754.5±249 094.2 square pixels, respectively, which were all higher than those of the control group (113.3±23.5, 114.3±12.2, and 1 565 456.5±219 259.7 square pixels, respectively, all P＜0.01). In the conditioned medium for the control group of MHCC-97H cells,the number of main junctions, the number of main segments, and the total area of the lattice formed by the addition of CEA to cultured HUVEC cells were 178.9±12.0, 286.9±12.3, and 1 966 990.0±126 249.5 spixels, which were higher than those in the control group (119.7±22.1, 202.7±33.7, and 1 421 191.0±189 837.8 square pixels, respectively). The expression of LDLR in hepatocellular carcinoma tissues was not correlated with the expression of CEA, but was negatively correlated with the expression of CD31 ( r=-0.167, P=0.044), the level of serum CEA ( r=-0.061, P=0.032), and the level of serum ALT (r=-0.147, P=0.05). The expression of CEA in hepatocellular carcinoma tissues was positively correlated with the expression of CD31 ( r=0.192, P=0.020). The level of serum CEA was positively correlated with the level of serum ALT ( r=0.164, P=0.029). Conclusion:Knocking down LDLR can promote vascular abnormalities in HCC by releasing CEA.

Objectives:To investigate the effect of the expression of low-density lipoprotein receptor associated protein (LDLR) on the vascular abnormalities in hepatocellular carcinoma (HCC) and its mechanisms.Methods:Based on the information of Oncomine Cancer GeneChip database, we analyzed the correlation between the expression level of LDLR and the expression level of carcinoembryonic antigen (CEA) and CD31 in hepatocellular carcinoma tissues. Lentiviral transfection of short hairpin RNA target genes was used to construct LDLR-knockdown MHCC-97H and HLE hepatocellular carcinoma cells. The differential genes and their expression level changes in LDLR-knockdown hepatocellular carcinoma cells were detected by transcriptome sequencing, real-time fluorescence quantitative polymerase chain reaction, and protein immunoblotting. The gene-related signaling pathways that involve LDLR were clarified by enrichment analysis. The effect of LDLR on CEA was assessed by the detection of CEA content in conditioned medium of hepatocellular carcinoma cells. Angiogenesis assay was used to detect the effect of LDLR on the angiogenic capacity of human umbilical vein endothelial cells, as well as the role of CEA in the regulation of angiogenesis by LDLR. Immunohistochemical staining was used to detect the expression levels of LDLR in 176 hepatocellular carcinoma tissues, and CEA and CD31 in 146 hepatocellular carcinoma tissues, and analyze the correlations between the expression levels of LDLR, CEA, and CD31 in the tissues, serum CEA, and alanine transaminase (ALT).Results:Oncomine database analysis showed that the expressions of LDLR and CEA in the tissues of hepatocellular carcinoma patients with portal vein metastasis were negatively correlated ( r=-0.64, P=0.001), whereas the expressions of CEA and CD31 in these tissues were positively correlated ( r=0.46, P=0.010). The transcriptome sequencing results showed that there were a total of 1 032 differentially expressed genes in the LDLR-knockdown group and the control group of MHCC-97H cells, of which 517 genes were up-regulated and 515 genes were down-regulated. The transcript expression level of CEACAM5 was significantly up-regulated in the cells of the LDLR-knockdown group. The Gene Ontology (GO) function enrichment analysis showed that the differential genes were most obviously enriched in the angiogenesis function. The Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis showed that the relevant pathways involved mainly included the cellular adhesion patch, the extracellular matrix receptor interactions, and the interactions with the extracellular matrix receptors. The CEA content in the conditioned medium of the LDLR-knockdown group was 43.75±8.43, which was higher than that of the control group (1.15±0.14, P＜0.001). The results of angiogenesis experiments showed that at 5 h, the number of main junctions, the number of main segments, and the total area of the lattice formed by HUVEC cells cultured with the conditioned medium of MHCC-97H cells in the LDLR-knockdown group were 295.3±26.4, 552.5±63.8, and 2 239 781.0±13 8211.9 square pixels, which were higher than those of the control group (113.3±23.5, 194.8±36.5, and 660 621.0±280 328.3 square pixels, respectively, all P＜0.01).The number of vascular major junctions, the number of major segments, and the total area of the lattice formed by HUVEC cells cultured in conditioned medium with HLE cells in the LDLR-knockdown group were 245.3±42.4, 257.5±20.4, and 2 535 754.5±249 094.2 square pixels, respectively, which were all higher than those of the control group (113.3±23.5, 114.3±12.2, and 1 565 456.5±219 259.7 square pixels, respectively, all P＜0.01). In the conditioned medium for the control group of MHCC-97H cells,the number of main junctions, the number of main segments, and the total area of the lattice formed by the addition of CEA to cultured HUVEC cells were 178.9±12.0, 286.9±12.3, and 1 966 990.0±126 249.5 spixels, which were higher than those in the control group (119.7±22.1, 202.7±33.7, and 1 421 191.0±189 837.8 square pixels, respectively). The expression of LDLR in hepatocellular carcinoma tissues was not correlated with the expression of CEA, but was negatively correlated with the expression of CD31 ( r=-0.167, P=0.044), the level of serum CEA ( r=-0.061, P=0.032), and the level of serum ALT (r=-0.147, P=0.05). The expression of CEA in hepatocellular carcinoma tissues was positively correlated with the expression of CD31 ( r=0.192, P=0.020). The level of serum CEA was positively correlated with the level of serum ALT ( r=0.164, P=0.029). Conclusion:Knocking down LDLR can promote vascular abnormalities in HCC by releasing CEA.

Background Silicosis is an occupational disease mainly characterized by pulmonary progressive fibrosis induced by the accumulation of free silica (SiO₂) in the lungs due to long-term exposure to SiO₂ dust. It has been shown that neutrophil extracellular traps (NETs) are increased in the lung tissues of silicotic mice after 28 d SiO₂ exposure, but it is unclear how the levels of NETs change throughout entire progression of silicosis in mice. Objective To observe the levels of NETs and pathological changes in the lungs of silicotic mice after different duration of SiO₂ exposure, and to confirm the possible role and significance of NETsin the development of SiO₂-induced pulmonary fibrosis. Methods A total of 28 SPF male C57BL/6J mice were randomly divided into a control group, and a model group, and the model group was subdivided into, a 2 d model group, a 7 d model group, and a 28 d model group, with 7 mice in each group. The mice in the model groups were given intratracheal instillation with 10 mg SiO₂ suspension (50 μL), and the mice in the control group were received same volume of saline. Mice were sacrificed and samples were collected at designed time points. The pathological changes of lung tissues of mice were observed after hematoxylin-eosin (HE) and Van Gieson (VG) staining. Immunofluorescence was used to observe the NETs markers citrullination histone H3 (CitH3) and myeloperoxidase (MPO) in bronchoalveolar lavage fluid (BALF), and the percentage of NETs-positive cells was calculated. PicoGreen fluorescent dye kit was used to detect the content of extracelluar DNA (ex-DNA) in mouse BALF, and the expression levels of fibrosis-related proteins α-smooth muscle actin (α-SMA) and fibronectin (FN) and NETs marker CitH3 in lung tissues of mice were detected by Western blot (WB). Results Compared with the control group, inflammatory cells accumulation, alveolar wall thickening, and collagen deposition were obviously observed in the lungs of the silicosis model groups, and a large number of silicone nodules were recorded in the lung tissues in the 28 d group. Compared with the control group, the expressions of α-SMA and FN in the lung tissue of the 28 d group were significantly increased (P<0.05). The percentages of NETs in BALF increased significantly in the 2 d and the 7 d model group, then decreased in the 28 d model group (P<0.05). Compared with the control group (7.434±0.258) ng·mL⁻¹, the ex-DNA levels in BALF of mice in the 2 d [(35.110±6.331) ng·mL⁻¹], the 7 d [(39.491±6.948) ng·mL⁻¹], and the 28 d [(23.360±4.809) ng·mL⁻¹] model groups were increased (P<0.05), and the increase of ex-DNA in the 2 d and the 7 d model groups were statistically significant (P<0.05). In comparison with the control group, the protein level of CitH3 was significantly increased in the lung tissues of mice in the 7 d model group (P<0.05). Conclusion The content of NETs increases significantly and reaches a peak in the early inflammatory stage of silicosis, and decreases as the disease progresses to the fibrotic stage, suggesting that NETs may play a role in early stage of silicosis.

ObjectiveTo investigate the protective effect and mechanism of Euphorbia helioscopia aqueous extract （EHE） on mice with chronic obstructive pulmonary disease （COPD） and its influence on precancerous lesion-associated proteins in lung tissues induced by cigarette smoke （CS）. MethodThe COPD model was induced by CS in 60 mice and the model mice were randomly divided into control group， model group， positive drug group （dexamethasone， 2 mg·kg^-1）， and low-， medium-， and high-dose EHE groups （1.875， 3.75， 7.5 g·kg^-1）. The high-performance liquid chromatography （HPLC） method was used to determine the related components in EHE. The changes in end-expiratory pause （EEP）， airway resistance （Penh）， expiratory flow at 50% vital capacity （EF50）， and other pulmonary function indexes were detected by the spirometer. The levels of inflammatory factors， such as interleukin （IL）-2， IL-5， IL-18， IL-17A， and IL-27 in bronchoalveolar lavage fluid （BALF） of mice were detected by high-throughput liquid protein chip technology. Hematoxylin-eosin （HE） staining was used to detect the pathological changes in lung tissues in mice. The content of malondialdehyde （MDA）， myeloperoxidase （MPO）， and glutathione peroxidase （GSH-Px） in lung tissues was determined by the colorimetric method. The mRNA relative expression of tumor necrosis factor-α （TNF-α）， transforming growth factor-β （TGF-β）， matrix metalloproteinase-2 （MMP-2）， matrix metalloproteinase-9 （MMP-9）， and matrix metalloproteinase-12 （MMP-12） was detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. Immunohistochemistry （IHC） was used to detect the expression of tumor protein （P53） and cell proliferation-associated antigen （Ki67） in lung tissues， and Western blot was used to detect the relative expression of tumor suppressor protein （P16）， DNA （cytosine-5）-methyltransferase 1 （DNMT1）， and fragile histidine triad （FHIT） in lung tissues. ResultThe results showed that the main compounds in EHE included phenols （gallic acid and protocatechuic acid） and flavonoids （such as hyperoside， rutin， myricetin， naringenin， quercetin， luteolin， kaempferol， and licorice chalcone A）， among which gallic acid and rutin were the highest in content. Compared with normal group， model group showed increased levels of EEP， EF50， and Penh （P<0.05）， and showed increased MDA and MPO levels （P<0.01） and decreased GSH-Px （P<0.01）， and the model group displayed increased levels of IL-2， IL-5， IL-18， IL-17A， IL-27， TNF-α， TGF-β， MMP-2， MMP-9， and MMP-12 （P<0.05）. And the model group exhibited up-regulated expression of P53， Ki67， and FHIT in lung tissues （P<0.01） and down-regulated expression of DNMT1 and P16 （P<0.01）. Compared with model group， the EHE groups showed decreased EEP and EF50 levels （P<0.05）. The pathological injury of lung tissues in mice of the model group was observed under HE staining， and the pathological injury of basal cell hyperplasia of lung tissues was gradually improved after treatment with EHE. The EHE groups showed reduced levels of MDA and MPO （P<0.01） and increased GSH-Px （P<0.01）. The EHE groups displayed decreased levels of IL-2， IL-5， IL-18， IL-17A， IL-27， TNF-α， TGF-β， MMP-2， MMP-9， and MMP-12 （P<0.05）. And the EHE groups showed down-regulated Ki67 and FHIT in lung tissues （P<0.05） and up-regulated expression of P53 and DNMT1 （P<0.05）. ConclusionEHE can protect mice from COPD and inhibit precancerous lesions， and the mechanism may be related to the inhibition of inflammation and oxidative stress response， regulation of protease and antiprotease imbalance， and regulation of epithelial cell growth.

Objective:To observe the changes of macular morphology and blood flow after minimally invasive vitrectomy (PPV) in patients with severe non-proliferative diabetic retinopathy (sNPDR).Methods:A prospective clinical study. From January 2020 to April 2021, 17 consecutive sNPDR patients with 17 eyes who were diagnosed and received PPV treatment at the Zhongshan Ophthalmic Center of Sun Yat-sen University were included in the study. There were 12 males with 12 eyes and 5 females with 5 eyes; the average age was 55 years old; the average duration of diabetes was 11 years; the average glycosylated hemoglobin was 7.9%. Before the operation and 1, 3, and 6 months after the operation, all the affected eyes underwent best corrected visual acuity (BCVA), standard 7-field fundus color photography, and optical coherence tomography angiography (OCTA). An OCTA instrument was used to scan the macular area of the affected eye with in the range of 3 mm×3 mm to measure the central subfoveal thickness (CST), the thickness of the ganglion cell complex (GCC) in the macular area, the thickness of the retinal nerve fiber layer (RNFL), and the superficial capillary plexus (SCP) vessel density and perfusion density in the macular area, macular avascular zone (FAZ) area, a-circularity index (AI). Before the operation and 6 months after the operation, the least significant difference test was used for the pairwise comparison.Results:Before the operation, 1, 3, and 6 months after the operation, the FAZ area of the macular area were 0.34±0.14, 0.35±0.10, 0.37±0.10, 0.36±0.13 mm 2, respectively; AI were 0.52±0.13, 0.54±0.11, 0.57±0.10, 0.60±0.11; CST was 282.6±66.7, 290.4±70.9, 287.2±67.5, 273.2± 49.6 μm; GCC thickness were 77.1±15.5, 74.3±13.9, 72.6±16.2, 78.5±18.3 μm; the thickness of RNFL was 97.9±13.8, 101.3±14.6, 97.7±12.0, 96.1±11.4 μm, respectively. The overall blood flow density of SCP in the macula were (16.79±1.43)%, (16.71±1.82)%, (17.30±2.25)%, (17.35±1.22)%; the overall perfusion density were 0.32±0.02, 0.32±0.03, 0.33±0.03, 0.33±0.02, respectively. After the operation, the CST increased first and then decreased; the thickness of RNFL increased 1 month after the operation, and then gradually decreased. Comparison of the parameters before and 6 months after the operation showed that the AI improved, and the difference was statistically significant ( P=0.049); the difference in FAZ area and the thickness of CST, GCC, and RNFL was not statistically significant ( P=0.600, 0.694, 0.802, 0.712); There was no statistically significant difference in the retina SCP blood flow density and perfusion density in the macular area ( P=0.347, 0.361). Conclusion:Compared with before surgery, there is no significant change in macular structure and blood flow density in sNPDR patients within 6 months after minimally invasive PPV.