[Variation analysis of genes associated with Usher syndrome type 1 in 136 Chinese deafness families].

Objective: To investigate the variation of genes associated with Usher syndrome type 1(USH1)in 136 Chinese deafness families from Henan province. Methods: The data of 136 deafness families tested by next-generation sequencing(NGS) which identified in the center of genetics and prenatal diagnosis of the First Affiliated Hospital of Zhengzhou University from November 2016 to December 2019 were analysized and the variation frequency of six genes related to Usher syndrome type 1(MYO7A, USH1C, CDH23, PCDH15, USH1G, CIB2) were summarized. Results: Five deafness families were detected nine pathogenic or likely pathogenic variations in two genes, accounting for 3.7% of all families. Among them, four families were caused by MYO7A variations and one family was caused by CDH23 variation. Meanwhile, seven variations of two genes were reported for the first time. They were c.313delG, c.5257dupA, c.5435A>T, c.5636G>C, c.5722T>G of MYO7A, and c.155_166del, c.4802delA of CDH23. The patients' vision of family 2 and family 3 had no obvious abnormality at present, but according to genetic diagnosis and walking dealy, they were considered to be USH1. Conclusions: MYO7A is the most common caustive gene associated with USH1 in Henan deafness patients, the application of next-generation sequencing technology can make USH1 patients diagnosed earlier before the visual symptoms appear.

[Analysis of MYO15A variation in children with DFNB3].

Objective: To analyze the genetic and clinical characteristics of MYO15A variants associated non-syndromic autosomal recessive deafness3 (DFNB3). Methods: The hearing test and high-throughput sequencing data of 108 families with non-syndromic hearing loss, who visited the Center of Genetics and Prenatal Diagnosis in the First Affiliated Hospital of Zhengzhou University from November 2016 to February 2019, were retrospectively analyzed to investigate the characteristics of MYO15A variation. Results: Compound heterozygous MYO15A variations were detected in nine patients from eight families, accounting for 7.4% of all 108 families. The variants were c.5910+1G>A/c.9417_9418insTA, c.4234T>G/c.8324G>T, c.3926A>T/c.5002delC, c.9690+1G>A/c.10257_10259delCTT, c.8324G>T/c.10419_10423delCAGCT, c.4519C>T/c.6454G>C, c.6177+1G>T/c.10257_10259delCTT and c.5692C>T/c.7396-1G>A. All patients had severe to profound hearing loss. Among the 14 variations, 12 variations were located in the main structural domains, including 5 in motor domain, 3 in FERM domain, 3 in MyTH4 domain and 1 in IQ motif. The c.3926A>T, c.4234T>G, c.4519C>T, c.5002delC, c.6454G>C, c.8324G>T, c.9417_9418insTA and c.10419_10423delCAGCT had not been reported in the Human Gene Mutation Database up to February 2020. According to the guidelines of the American College of Medical Genetics and Genomics (ACMG), 6 reported variants and the first reported c.4519C>T, c.5002delC, c.9417_9418insTA and c.10419_10423delCAGCT were identified as pathogenic variants, while c.8324G>T was likely pathogenic variant, and c.3926A>T, c.4234T>G and c.6454G>C were variants of uncertain significance. Conclusions: The variations of MYO15A in patients with DFNB3 are mainly complex heterozygous. The clinical phenotypes are mostly severe to profound hearing loss, and the mutation loci are mainly in the motor, FERM and MyTH4 domains.

[Mutational analysis and prenatal diagnosis of TMPRSS3 gene in two Chinese families affected with deafness].

Objective: To detect potential mutations in two Chinese families affected with deafness, so as provide prenatal diagnosis for them. Methods: Two Chinese families affected with deafness were identified at the genetic and prenatal diagnosis center of the First Affiliated Hospital of Zhengzhou University from March 2018 to December 2018.Mutation analyses were carried out by next generation sequencing (NGS),suspected mutations were verified by Sanger sequencing in the probands, unaffected relatives. Prenatal diagnosis for high-risk fetus were carried out through Sanger sequencing. Results: The proband of family 1 carried a c.432delA and a c.617-2_617-1insTC mutation of the TMPRSS3 gene, the proband of family 2 carried a c.271C>T(p.R91X) and a c.147dupTmutation ofthe TMPRSS3 gene, both parents of the two probands were carriers of heterozygous variants. Conclusions: Mutations in the TMPRSS3 gene are the suspected cause of deafness in two families. Application of next generation sequencing technologies make gene diagnosis of deafness efficiently and accurately and the molecular findings increase our understanding of the function of TMPRSS3 gene and enrich the human gene mutation database. It is helpful for recurrent genetic counseling and prenatal diagnosis for these families.

[Analysis of genetic variation in patients with Waardenburg syndrome type â ¡ by next generation sequencing].

Objective: To detect gene mutation sassociated with deafness in four Waardenburg syndrome (WS) type Ⅱ patients, and to explore the possible mechanism of molecular genetics. Methods: All patients with WS were identified at the genetic and prenatal diagnosis center of the First Affiliated Hospital of Zhengzhou University from August 2015 to December 2018.Clinical materials and peripheral blood were collected from patients and family members. The genes associated with deafness of the patients were tested by next generation sequencing(NGS). And suspected mutations were verified by Sanger sequencing. Results: All patients carried heterozygous mutations in SOX10, they were c.355_356insTCAGGCAGCGC, c.1106_1107insTGGGGCCCCCCACACTA, c.511T>C (p.Y171H), c.91_100del. According to the guidelines for genetic variation of the Amercian College of Medical Genetics and Genomics (ACMG), three frameshift mutations were pathogenic mutations, one missense mutation was likely pathogenic mutation. Conclusion: Application of next generation sequencing technologies make gene diagnosis of Waardenburg syndrome efficiently and accurately.

[Interaction between PSF and cytokeratin 18 mediates PSF relocation to cell membrane and maintains chemosensitivity of myeloid leukemia].

OBJECTIVE: To identify the chaperone of polypyrimidine tractor-binding protein-associated splicing factor (PSF) in myeloid leukemia cells, and to explore the mechanism and redistributive pattern to cell surface of PSF in chemo-sensitive HL60 cells and resistant HL60/DOX cells. METHODS: The eukaryotic expression vector of PSF was transfected with liposomes transiently, then flow cytometry was used to detect the expression level of PSF on the cell surface 24 h, 48 h and 72 h after vector transfections. We constructed a chimeric expression vector, streptavidin binding peptide (SBP)-PSF, meanwhile this vector was transfected and made SBP-PSF fusion protein overexpress. In addition, we used streptavidin magnetic beads to precipitate the cellular chaperonin of PSF and then identified its chaperonin by mass spectrometry (MS). Lentiviral vectors containing cytokeratin18 (K18) interference sequences were transfected into 293T cells to prepare lentivirus. HL60 and HL60/DOX cells were infected with lentivirus to obtain stable interfering K18 cell lines. Next, flow cytometry was used to test the membrane relocation level of PSF. Together, these methods confirmed the similar or different mechanisms of the PSF redistributing to membrane synergistically mediated by K18 in HL60 and HL60/DOX cells. RESULTS: The expression of membrane relocated PSF was detected every day for three days (at the end of 24 h, 48 h and 72 h) after transient overexpression. The expressing rate of PSF on the cell surface was 22.4%±3.5%, 37.9%±6.0%, 58.3%±8.8%, respectively in sensitive HL60 cells, while that was 4.7%±0.5%, 3.9%±0.6%, 2.9%±0.6% , respectively in resistant HL60/DOX cells. The difference of expressing rate on each day was significant, P<0.01. We identified K18 detected by co-immunoprecipitation and mass spectrum assay which was the cellular chaperone of PSF. We found that K18 knockdown decreased the PSF expression level which redistributed on cell surface from 48.9%±5.4% to 6.2%±1.0% in sensitive HL60 cells, and from 9.11%±1.2% to 2.21%±0.51% in resistant HL60/DOX cells, respectively. CONCLUSION: K18 is the intracellular chaperonin of PSF. The interaction of PSF and K18 mediates its redistribution to cell membrane in sensitive cells. While in resistant cells, PSF failed to relocate at the cell surface and accumulated in cells, which mediated resistance to chemotherapeutics.

[Palmitoylome profiling indicates that androgens promote the palmitoylation of metabolism-related proteins in prostate cancer-derived LNCaP cells].

OBJECTIVE: To explore potential therapeutic targets other than androgen-deprivation treatment for prostate cancer by screening the proteins induced by androgen at palmitoylation modification level in LNCaP cells. METHODS: The LNCaP cells were treated with androgen (Methyltrienolone, R1881, 5 nmol/L) or dimethyl sulfoxide (DMSO) for 24 h, and then labeled with alkynyl palmitic acid Alk-C16 (100 µmol/L). After that, the cells were collected, lysed, the total protein was extracted, agarose beads labeled with azide (1 mmol/L) were added, and the click-chemistry reaction was carried out at room temperature for 1 h. The covalent bond formed by click-chemistry reaction of azide and alkynyl group was used to enrich the palmitoylated proteins on agarose beads. Label-free quantitation (LFQ) was used to compare the protein palmitoylation level of R1881 treated and untreated cells to screen the proteins induced by androgen at palmitoylation modification level. RESULTS: In this experiment, 907 potential palmitoylated proteins (mascot score>2, P<0.05) were identified, among which 430 proteins had LFQ values not zero at least twice. Among the 430 proteins, the palmitoylation levels of 92 candidates were increased by androgen treatment, and their LFQ values were significantly upregulated (>1.5-fold, P<0.05) in ≥2 samples of androgen-treated vs. untreated LNCaP cells. We also used the software of cytoscape to classify the 92 proteins, and found that the known functional proteins of them could be divided into three categories: metabolism related, protein folding related and translation initiation related. Among them, metabolism related proteins included lipid metabolism (6), glucose metabolism (7) and respiratory electron transport chain (8), and a small amount of amino acid metabolism (2) and other metabolism related proteins (2). Notably, the ratio of LFQ of cytochrome b-c1 complex subunit 2 (UQCRC2) was significantly (>3-fold, P<0.05) higher in androgen-treated cells compared with untreated cells, indicating that the palmitoylation level of UQCRC2 was enhanced by androgen most significantly than that of others. The second was long-chain acyl CoA dehydrogenase (ACADVL) related to lipid metabolism and glucose 6-phosphate dehydrogenase (PGD) related to glucose metabolism, but the LFQ ratio of them was less than 3-fold. CONCLUSION: The research on palmitoylation mechanism of metabolism, especially the proteins related to respiratory electron transport chain, will provide a new guidance for the diagnosis and treatment of prostate cancer and the development of targeted drugs.

[Correlation analysis of gut microbiota and biochemical indexes in patients with non-alcoholic fatty liver disease].

Objective: To investigate the relationship between gut microbiota structure and biochemical changes in patients with different types of nonalcoholic fatty liver disease (NAFLD), in order to provide evidence for clinical diagnosis and prevention of NAFLD. Methods: Forty-eight NAFLD cases (NAFLD group), 40 NAFLD cases with type 2 diabetes mellitus (NAFLD combined with type 2 diabetes mellitus group) and 30 healthy cases (healthy group) were randomly enrolled, and their body mass index, serum alanine aminotransferase, aspartate aminotransferase, total bilirubin, total cholesterol, triglyceride, high density lipoprotein, low density lipoprotein and uric acid were measured. Serum levels of TNF-alpha and fasting insulin were measured using ELISA, and then insulin resistance index was calculated. The gut microbiota of three groups of subjects was detected using 16S rDNA-based high-throughput sequencing. Lastly, the correlations between the various factors were analyzed. The comparison among groups was conducted by 2 test, and one-way ANOVA was used for comparison among groups with normal distribution and homogeneity of variance. Furthermore, the LSD method was used to compare the two groups. K-W rank sum test was used for comparison among groups without normal distribution or homogeneity of variance. Results: Body mass index, aspartate aminotransferase, triglyceride, total cholesterol, low density lipoprotein, uric acid, tumor necrosis factor-alpha, fasting insulin and insulin resistance index of NAFLD group were higher than healthy group, while the high-density lipoprotein was lower in the healthy group, and the difference was statistically significant (P< 0.05). Compared with NAFLD group, the life expectancy, fasting blood glucose and insulin resistance index of NAFLD combined with type 2 diabetes mellitus group were higher, while the body mass index, aspartic acid aminotransferase, total cholesterol and HDL levels were decreased, and the difference was statistically significant (P< 0.05). NAFLD group (P= 0.016) had decreased abundance of firmicutes than healthy group, and the abundancy of the firmicutes in the NAFLD combined with type 2 diabetes group was significantly lower (P< 0.001). The abundance of bacteroidetes in NAFLD combined with type 2 diabetes group was higher than healthy group, and the difference was statistically significant (P= 0.006). At the "genus level," the abundance of Roseburia and Subdoligranulum in the NAFLD group was decreased, while the Roseburia in the NAFLD group with type 2 diabetes group was significantly lower (P< 0.05). In addition, the abundance of Faecalibacterium, Blautia, Anaerostipes and Fusicatenibacter in NAFLD combined with type 2 diabetes group was lower than healthy group, and the difference was statistically significant (P< 0.001). Fusicatenibacter, Blautia, Anaerostipes, Faecalibacterium, and Roseburia were negatively correlated with fasting blood glucose and insulin resistance index levels (r< 0,P< 0.05), and positively correlated with high-density lipoprotein levels (r> 0,P< 0.05). Fusicatenibacter was negatively correlated with tumor necrosis factor-alpha (r= -0.211,P= 0.044), and Lachnoclostridium was positively correlated with body mass index, alanine aminotransferase, aspartate aminotransferase levels (r> 0,P< 0.05). Fusobacterium was positively correlated with aspartate aminotransferase level (r= 0.245,P= 0.019). Escherichia-shigella was positively correlated with fasting blood glucose, low-density lipoprotein, alanine aminotransferase, aspartate aminotransferase levels (r > 0,P< 0.05). Megamonas was negatively correlated with high-density lipoprotein levels (r= -0.231,P= 0.027). Conclusion: A structural change of gut microbiota had occurred in patients with NAFLD, suggesting changes in some of these bacterial genuses had relation to insulin resistance and inflammatory response, which may become a new target for the treatment of NAFLD.

Association between HLA-A and -B polymorphisms and susceptibility to Henoch-Schönlein purpura in Han and Mongolian children from Inner Mongolia.

We examined a possible association between HLA-A and -B polymorphisms and susceptibility to Henoch-Schönlein purpura (HSP) in Han and Mongolian children in Inner Mongolia, through a case-control study. Two hundred and sixty-eight unrelated children were enrolled, including 56 Mongolian and 50 Han children with HSP, 66 healthy Mongolian and 96 healthy Han children as a control group. HLA-A and -B alleles were indentified by PCR-sequence-specific oligonucleotide analysis and were further analyzed by PCR-sequencing-based typing (SBT). Frequencies of HLA-A*11, HLA-B*15 in Mongolian patients and HLA-A*26, HLA-B*35, HLA-B*52 in Han patients were higher than those in the corresponding control group (P < 0.05), while frequencies of HLA-B*07 and -B*40 in Mongolian HSP patients were lower than those in the control group (P < 0.05). Further analysis using PCR-SBT showed that all HLA-A*11 were HLA-A*1101, and most HLA-B*15 were HLA-B*1501 in Mongolian HSP patients. All HLA-A*26 were HLA-A*2601 and HLA-B*35 were mostly HLA-B*3503 in Han patients. There were more Han patients with severe manifestations than Mongolian patients (P < 0.05). Frequencies of HLA-A*26, HLA-B*35 and HLA-B*52 in Han patients were higher than in Mongolian patients (P < 0.05). We conclude that HLA-A*11(*1101) and -B*15(*1501) are associated with susceptibility to HSP in Mongolian children and HLA-A*26(*2601), HLA-B*35(*3503) and HLA-B*52 are associated with susceptibility to HSP in Han children. HLA-B*07 and -B*40 may be protective genes in Mongolian children. The different frequencies of HLA-A and -B in Mongolian and Han children may be responsible for the different manifestations in these two ethnic groups.