ObjectiveTo investigate the intervention effects of modified Linggui Zhugan Tang （LGZGT） on patients with obstructive sleep apnea-hypopnea syndrome （OSAHS） of the spleen deficiency and dampness obstruction with blood stasis type， reveal its possible mechanisms， and provide a theoretical basis for the clinical treatment of OSAHS with traditional Chinese medicine （TCM）. MethodsEighty OSAHS patients with spleen deficiency and dampness obstruction with blood stasis were randomly assigned to a control group and an observation group （1∶1） using a random number table， with 40 patients in each group. The control group received standard basic treatment combined with oral Doxofylline tablets， while the observation group received standard basic treatment combined with modified LGZGT. Serum levels of macrophage migration inhibitory factor （MIF）， microRNA-223 （miR-223）， and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of MIF， miR-223， and IL-18 were measured by real-time quantitative polymerase chain reaction （Real-time PCR）. After two months of treatment， the total clinical efficacy， apnea-hypopnea index （AHI）， lowest nocturnal oxygen saturation （LSpO₂）， body mass index （BMI）， TCM syndrome scores， and expression levels of MIF， miR-223， and IL-18 before and after treatment were compared between the two groups. Correlations between MIF， miR-223， IL-18 and AHI and LSpO₂ were also analyzed. ResultsCompared with the control group， the observation group showed a significantly higher total clinical effective rate （P<0.01， Z=-3.49）. Within the control group， no significant changes were observed in AHI， LSpO₂， BMI， TCM syndrome scores， or MIF， miR-223， IL-18 levels and their mRNAs after treatment. In the observation group， AHI， BMI， TCM syndrome scores， and MIF and IL-18 levels and their mRNAs decreased significantly， while LSpO₂ increased significantly （P<0.01）. After treatment， compared with the control group， the observation group exhibited significantly lower AHI， BMI， TCM syndrome scores， and MIF and IL-18 levels and their mRNAs， and significantly higher LSpO₂ （P<0.01）. Correlation analysis showed that MIF and IL-18 were positively correlated with AHI （P<0.01） and negatively correlated with LSpO₂ （P<0.01）， whereas miR-223 was negatively correlated with AHI （P<0.01） and positively correlated with LSpO₂ （P<0.01）. ConclusionModified LGZGT may improve OSAHS of the spleen deficiency and dampness obstruction with blood stasis type by reducing airway inflammatory factors， alleviating airway inflammation， relieving airway edema and stenosis， and improving airway obstruction.

OBJECTIVE: To explore the genetic etiology of 46 Chinese pedigrees affected with Hereditary multiple exostoses (HME) and provide genetic counseling and reproductive intervention. METHODS: Whole-exome sequencing and Sanger sequencing were carried out on 87 patients from the 46 pedigrees to analyze the variants of EXT1 and EXT2 genes. Pathogenicity of the variants was assessed based on the guidelines from the American College of Medical Genetics and Genomics and Association for Molecular Pathology (ACMG/AMP). Prenatal diagnosis and preimplantation genetic testing (PGT) were provided for couples with identified pathogenic mutations. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: LL-SC-SG-2014-010). RESULTS: In total 17 and 22 pathogenic variants were respectively identified in the EXT1 and EXT2 genes, among which 5 EXT1 and 12 EXT2 variants were unreported previously. Three patients with no family history were found to harbor de novo variants of the EXT1 gene. Twenty nine couples had opted for PGT or underwent prenatal diagnosis following natural conception, and 17 healthy babies were born. CONCLUSION This study has clarified the genetic etiology of 45 HME pedigrees and identified 17 novel variants, which has enriched the mutational spectrum of the EXT1 and EXT2 genes. Reproductive intervention through PGT and prenatal diagnosis have prevented the recurrence of HME in these families.
Humans ; Female ; Male ; Pedigree ; Exostoses, Multiple Hereditary/diagnosis* ; N-Acetylglucosaminyltransferases/genetics* ; Adult ; Exostosin 1 ; Asian People/genetics* ; Genetic Testing ; Exostosin 2 ; Mutation ; China ; Prenatal Diagnosis ; Pregnancy ; Genetic Counseling ; Preimplantation Diagnosis ; Exome Sequencing ; East Asian People

Objective To use network pharmacology to mine and predict the targets and related signaling pathways of Miaoyao Yiai Tang(Miao-Yi-Ai-Tang,MYAT)in the treatment of small cell lung cancer(SCLC).And animal experiments to verify its mechanism of action,to provide a theoretical basis for basic experiments and clinical applications.Methods The active ingredients of MYAT were obtained from the TCMSP database,combined with PubMed data,Swiss Target Prediction database and Uniprot database to obtain potential targets;SCLC-related genes were collected through the DrugBank database,Genecards database,OMIM database and TTD database,and the Venny 2.1 platform After obtaining the intersection genes of MYAT and SCLC,import them into the STRING database,construct a protein-protein interaction(PPI)network,use Cytoscape 3.9.1 software for visual analysis,and use Metascape database for GO enrichment analysis and KEGG pathway analysis,to predict the direct action target and signaling pathway of MYAT in the treatment of SCLC.Using AutoDock Tools 1.5.7 software for molecular docking to verify the close relationship between the two.For cytological experiment verification,the cultured cells were treated with MYAT and the expression of β-catenin,AXIN,c-myc was detected by qPCR,and the expression of β-catenin in the cells was detected by Western blot;animal experiments were established to establish a subcutaneous xenograft tumor model of lung cancer NCI-H446,to observe the effect of MYAT on tumor growth.Results A total of 65 effective components of MYAT,1368 SCLC genes,and 260 MYAT-SCLC intersection genes were obtained.Enrichment analysis showed that they were related to cancer pathways,PD-L1/PD-1 pathways,NF-κB pathways,Wnt and other signaling pathways.The results of molecular docking validation showed that the binding energies of active components and core target proteins were all<0 kJ·mol-1,which indicated that the protein could spontaneously bind to active components and be stable.Cell experiments showed that the expression levels of β-catenin,c-myc and AXIN mRNA were significantly down-regulated in the MYAT group(P<0.05).Animal experiments show that:MYAT can significantly inhibit the growth of tumors in vivo.Conclusion Miao-Yi-Ai-Tang can inhibit the proliferation of small cell lung cancer through Wnt/β-catenin signaling pathway.

Objective:To explore the potential of brain age gap (BAG) as a biomarker of brain health and analyze its causal relationship with common brain diseases.Methods:Brain structural magnetic resonance imaging (sMRI) data from public databases (UK Biobank, ADNI, PPMI) were selected and input into a simple fully convolutional network (SFCN) to estimate BAG. The disease group (with corresponding codes or labels, n=6 796) and healthy control group (without corresponding codes or labels, n=9 660) were defined according to the presence or absence of ICD-10 codes and corresponding brain disease labels. The two-sample t-test was used to compare the BAG differences between the disease and healthy control group; genome-wide association study (GWAS) was used to find genomic regions significantly associated with BAG in 31 520 people in the UK Biobank. The causal effects between BAG and 14 brain diseases were analyzed by Mendelian randomization (MR). Results:The mean absolute error (MAE) between the subject′s chronological age and estimated brain age for the 1 932 subjects in the healthy control group used for model testing was 2.364 years. Compared with the healthy control group, Alzheimer′s disease ( t=33.42), anxiety disorders ( t=2.38), bipolar disorder ( t=3.76), stroke ( t=2.75), demyelinating disease ( t=7.45), major depressive disorder ( t=3.49), Parkinson′s disease ( t=17.69), and post-traumatic stress disorder ( t=2.34) BAG was significantly increased ( PFDR<0.05). There were 8 independent genome-wide risk regions associated with BAG in the GWAS ( P<5×10 -8), 4 of which were novel(related genes: PICK1, TBC1D9, SIAH3, and TMEM98). In MR analysis, a strong causal association between Alzheimer′s disease and BAG was observed (β=0.23,95% CI=0.08-0.38, PFDR=0.030). Conclusion:BAG can be used as a biomarker that reflects brain health information. The occurrence of Alzheimer′s disease will lead to an increase in BAG.

Objective:To explore the potential of brain age gap (BAG) as a biomarker of brain health and analyze its causal relationship with common brain diseases.Methods:Brain structural magnetic resonance imaging (sMRI) data from public databases (UK Biobank, ADNI, PPMI) were selected and input into a simple fully convolutional network (SFCN) to estimate BAG. The disease group (with corresponding codes or labels, n=6 796) and healthy control group (without corresponding codes or labels, n=9 660) were defined according to the presence or absence of ICD-10 codes and corresponding brain disease labels. The two-sample t-test was used to compare the BAG differences between the disease and healthy control group; genome-wide association study (GWAS) was used to find genomic regions significantly associated with BAG in 31 520 people in the UK Biobank. The causal effects between BAG and 14 brain diseases were analyzed by Mendelian randomization (MR). Results:The mean absolute error (MAE) between the subject′s chronological age and estimated brain age for the 1 932 subjects in the healthy control group used for model testing was 2.364 years. Compared with the healthy control group, Alzheimer′s disease ( t=33.42), anxiety disorders ( t=2.38), bipolar disorder ( t=3.76), stroke ( t=2.75), demyelinating disease ( t=7.45), major depressive disorder ( t=3.49), Parkinson′s disease ( t=17.69), and post-traumatic stress disorder ( t=2.34) BAG was significantly increased ( PFDR<0.05). There were 8 independent genome-wide risk regions associated with BAG in the GWAS ( P<5×10 -8), 4 of which were novel(related genes: PICK1, TBC1D9, SIAH3, and TMEM98). In MR analysis, a strong causal association between Alzheimer′s disease and BAG was observed (β=0.23,95% CI=0.08-0.38, PFDR=0.030). Conclusion:BAG can be used as a biomarker that reflects brain health information. The occurrence of Alzheimer′s disease will lead to an increase in BAG.

Tacrolimus (TAC), also called FK506, is one of the classical immunosuppressants to prevent allograft rejection after liver transplantation. However, it has been proved to be associated with post-transplant hyperlipemia. The mechanism behind this is unknown, and it is urgent to explore preventive strategies for hyperlipemia after transplantation. Therefore, we established a hyperlipemia mouse model to investigate the mechanism, by injecting TAC intraperitoneally for eight weeks. After TAC treatment, the mice developed hyperlipemia (manifested as elevated triglyceride (TG) and low-density lipoprotein cholesterol (LDL-c), as well as decreased high-density lipoprotein cholesterol (HDL-c)). Accumulation of lipid droplets was observed in the liver. In addition to lipid accumulation, TAC induced inhibition of the autophagy-lysosome pathway (microtubule-associated protein 1 light chain 3β (LC3B) II/I and LC3B II/actin ratios, transcription factor EB (TFEB), protein 62 (P62), and lysosomal-associated membrane protein 1 (LAMP1)) and downregulation of fibroblast growth factor 21 (FGF21) in vivo. Overexpression of FGF21 may reverse TAC-induced TG accumulation. In this mouse model, the recombinant FGF21 protein ameliorated hepatic lipid accumulation and hyperlipemia through repair of the autophagy-lysosome pathway. We conclude that TAC downregulates FGF21 and thus exacerbates lipid accumulation by impairing the autophagy-lysosome pathway. Recombinant FGF21 protein treatment could therefore reverse TAC-caused lipid accumulation and hypertriglyceridemia by enhancing autophagy.
Animals ; Mice ; Tacrolimus ; Liver ; Cholesterol, LDL ; Autophagy ; Disease Models, Animal

Objective To investigate the risk factors for short-term prognosis in patients with HBV-related acute-on-chronic liver failure (ACLF). Methods A retrospective analysis was performed for the clinical data of 119 patients with HBV-related ACLF who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from October 2019 to October 2020, and according to their survival status on day 90, they were divided into death group and survival group. The patients were given antiviral therapy with entecavir or tenofovir. Related clinical data were collected, including alanine aminotransferase (ALT), aspartate aminotransferase, cholinesterase (ChE), albumin (Alb), cholesterol, alpha-fetoprotein, and HBV DNA at baseline, as well as the incidence rate of important complications. Model for End-Stage Liver Disease (MELD) score was also calculated. The t -test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-squared test was used for comparison of categorical data between two groups; a logistic regression analysis was used to investigate the influencing factors for the 90-day prognosis of patients with HBV-related ACLF and establish a new predictive model; the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficiency of the new model in predicting the prognosis of HBV-related ACLF. Results Of all patients, 33 died within 90 days, resulting in a mortality rate of 27.7%. There were significant differences between the survival group and the death group in age, ALT, Alb, ChE, MELD score, and incidence rates of hepatic encephalopathy, primary peritonitis, and hepatorenal syndrome (all P < 0.05). The logistic regression analysis showed that baseline hepatic encephalopathy (odds ratio [ OR ]=10.404, 95% confidence interval [ CI ]: 2.522-42.926, P =0.001), serum Alb at baseline ( OR =0.853, 95% CI : 0.764-0.952, P =0.005), and MELD score at baseline ( OR =1.143, 95% CI : 1.036-1.261, P =0.008) were independent predictive factors for the short-term prognosis of patients with HBV-related ACLF. A new predictive model was established based on the combination of these three indices, and the ROC curve analysis showed that this new model had an area under the curve of 0.833, while MELD score had an area under the ROC curve of 0.672. Conclusion As for the evaluation of the 90-day prognosis of patients with HBV-related ACLF, the new prognostic model established based on hepatic encephalopathy, Alb, and MELD score has a better predictive value than MELD score alone.

Objective:To investigate the correlation between RNF213 gene p. R4810K polymorphism and posterior cerebral artery involvement in Chinese children with familial moyamoya disease.Methods:Children with familial moyamoya disease admitted to the Department of Neurosurgery, the Fifth Medical Center of PLA General Hospital from August 2004 to June 2018 were enrolled, and they were divided into posterior cerebral artery involved group and posterior cerebral artery uninvolved group. RNF213 gene p. R4810K single nucleotide polymorphism was detected. Multivariate logistic regression analysis was used to determine the independent risk factors for posterior cerebral artery involvement. Results:A total of 65 children with familial moyamoya disease were enrolled. Their age was 6.98±4.46 years and 37 (56.9%) were male. The first symptom of 55 children (84.6%) was cerebral ischemia, and 37 (56.9%) involved posterior cerebral artery. There were 3 (4.6%) children with p. R4810K AA genotype, 26 (40.0%) with GA genotype, and 36 (55.4%) with GG genotype. The p. R4810K genotype distribution in the posterior cerebral artery involved group was statistically different from that in the uninvolved group (GA+ AA genotype: 56.8% vs. 28.6%; χ2=5.124, P=0.024), and there were no statistical difference in gender, age, first symptom, and genetic pattern. Multivariate logistic regression analysis showed that after adjusting the first onset age and gender, p. R4810K G>A mutation was the only independent risk factor for posterior cerebral artery involvement (odds ratio 3.240, 95% confidence interval 1.082-9.705; P=0.020). Conclusion:The p. R4810K polymorphism of RNF213 gene is associated with posterior cerebral artery involvement in Chinese children with familial moyamoya disease.

Coronavirus disease 2019 (COVID-19), caused by the 2019 novel coronavirus (2019-nCoV), is spreading on a large scale in China. COVID-19 mainly affects the respiratory system and cause symptoms such as severe hypoxemia and high fever. At present, there is no specific treatment drug, and patients' autoimmunity is closely related to disease prognosis. The brain tissue of patients with moyamoya disease is in a state of ischemia and hypoxia for a long time. Hypoxemia and high fever will aggravate the cerebral ischemia and hypoxia in patients with moyamoya disease, and patients with moyamoya disease may also have autoimmune abnormalities. Because people with moyamoya disease are also likely to have COVID-19 and COVID-19 can cause many conditions that may aggravate the symptoms of patients with moyamoya disease, which brings new problems and challenges to the clinical diagnosis and treatment of moyamoya disease. In this article, the diagnosis and treatment process and prevention and control measures of patients with moyamoya disease under the current epidemic situation are thought, and the key issues in the treatment of patients with moyamoya disease after suffering from COVID-19 are sorted out. It is hoped to provide reference for the diagnosis and treatment of moyamoya disease under the COVID-19 epidemic situation.