Objective To observe the effects of acupuncture therapy with finger on back-shu point on acid reflux and lower esophageal sphincter pressure (LESP) of the patients with gastroesophageal reflux disease (GERD). Methods Totally 120 patients of GERD were randomly divided into treatment group and control group through random number table method, 60 cases in each group. Patients in the treatment group were treated with the acupuncture therapy with finger on back-shu point, and patients in control group were treated with lansoprazole tablets and dispersible mosapride citrate for two weeks. Total percentage of acid reflux time, the long time acid reflux episodes, and the longest acid reflux time of two groups were observed six months after the treatment. At the same time, the LESP variation of two groups was followed up six months after the treatment. Results The total percentage of acid reflux time, the long time acid reflux episodes, and the longest acid reflux time decreased significantly in all patients after treatment (P<0.01), while the comparison between groups showed no significant difference (P>0.05). After treatment, LESP of two groups was significantly improved (P<0.05) than before treatment. After stopping treatment half a year, the treatment group had obvious difference (P<0.05) compared with before treatment, while the control group had no significant difference (P>0.05). Conclusion The acupuncture therapy with finger on back-shu point can reduce acid reflux, and achieve the goal of treatment of GERD by improving the lower esophageal sphincter pressure. The duration of improving LESP is longer.

To achieve non-invasive detection of hemoglobin concentration,a hemoglobin concentration detection method based on support vector regression is designed.A mathematical model for non-invasive hemoglobin detection is established based on the Beer-Lambert law.After removing the noise and baseline drift from the collected photoplethysmography signals,hemoglobin concentration information is extracted,and a recursive feature elimination algorithm is used to select the extracted information and eliminate redundant features.Finally,29 key features are identified as input to construct a hemoglobin prediction model using support vector regression algorithm.Experimental validation is conducted on 249 clinical data samples(199 cases in training dataset and 50 in test dataset),resulting in a root mean square error of 1.83 g/dL between predicted values and references,with a correlation coefficient of 0.75(P<0.01),demonstrating the high consistency of the proposed method and traditional invasive detection methods.

Arabidopsis BOTRYTIS-INDUCED KINASE1 (BIK1) is a receptor-like cytoplasmic kinase acting early in multiple signaling pathways important for plant growth and innate immunity. It is known to form a signaling complex with a cell-surface receptor FLS2 and a co-receptor kinase BAK1 to transduce signals upon perception of pathogen-associated molecular patterns (PAMPs). Although site-specific phosphorylation is speculated to mediate the activation and function of BIK1, few studies have been devoted to complete profiling of BIK1 phosphorylation residues. Here, we identified nineteen in vitro autophosphorylation sites of BIK1 including three phosphotyrosine sites, thereby proving BIK1 is a dual-specificity kinase for the first time. The kinase activity of BIK1 substitution mutants were explicitly assessed using quantitative mass spectrometry (MS). Thr-237, Thr-242 and Tyr-250 were found to most significantly affect BIK1 activity in autophosphorylation and phosphorylation of BAK1 in vitro. A structural model of BIK1 was built to further illustrate the molecular functions of specific phosphorylation residues. We also mapped new sites of FLS2 phosphorylation by BIK1, which are different from those by BAK1. These in vitro results could provide new hypotheses for more in-depth in vivo studies leading to deeper understanding of how phosphorylation contributes to BIK1 activation and mediates downstream signaling specificity.
Amino Acids ; chemistry ; Arabidopsis ; enzymology ; Arabidopsis Proteins ; chemistry ; genetics ; isolation & purification ; Gene Expression Regulation, Plant ; Immunity, Innate ; Mutation ; Phosphorylation ; Protein-Serine-Threonine Kinases ; chemistry ; genetics ; isolation & purification ; Signal Transduction ; Threonine ; genetics

Objective To assess the clinical value of three-dimensional hysterosalpingo-contrast sonography (3D Hy-CoSy)in patients with tubal infertility. Methods A total of 274 patients with infertility(totally 539 the fallopian tubes)from September 2011 to March 2013 in our hospital,all patients were choose 3~7 days after menstruation clean,Transvaginal three-dimensional ultrasound imaging by injecting SonoVue through the uterine tube,with dynamic obser-vation of fallopian tube in imaging mode,by adopting of transvaginal three-dimensional ultrasound imaging reconstruc-tion technology evaluate tubal patency. The result of transvaginal three-dimension ultrasound imaging among 67 cases were compared with laparoscopic Meilan hydrotubation or X-ray hysterosalpingography (HSG). Results Among 539 oviducts, 230 oviducts were diagnosed patency by HyCoSy,224 oviducts were incompletehy obstructed, and 85 oviducts were completely obstructed among which 7 were hydrosalpinx; 3 out of 274 cases were contrast medium reflux into myometrium and venous plexus nearby; The sensitivity of 3D HyCoSy was 86.67%,which compared with the re-sults of HSG and laparoscopy,specificity was 100%,positive predictive value was 96.30%, negative predictive value was 98.25%. Conclusion 3D-HyCoSy in the diagnosis of fallopian tube patency is simple, safety and effective,fully and accurately displaying the shape of uterine tube . This technique is hopeful to become an effective method to diag-nose patients with tubal infertility.

Objective To construct a regulatory network of competing endogenous RNA(ceRNA)with prognostic value for bladder urothelial carcinoma(BLCA),and analyze the relationship between key messenger RNA(mRNA)and immune function.Methods The UCSC Xena database was used to download mRNA expression data from 404 BLCA patients and 28 normal individuals and key mRNAs were screened by differential analysis.ENCORI database was utilized to search microRNAs(miRNAs)that bind to key mRNAs and all long non-coding RNAs(LncRNAs)that bind to miRNAs.The expression data of miRNA and LncRNA were downloaded from TCGA database,co-expression analysis was performed to identify key mRNA with all miRNAs and miRNA with all LncRNAs,and thus key miRNAs and LncRNAs were screened out.Survival analysis was conducted based on the differences in expression levels of these key mRNAs,miRNAs,and LncRNAs between tumor patients and normal individuals,and finally a ceRNA regulatory network was constructed.The correlation between key mRNAs and immune cells,immune checkpoints(CD274,PDCD1 and CTLA4),and immune cell marker genes(IG)was analyzed using the TIMER 2.0 database.Results A total of 22 key mRNAs were screened,with the most significant difference being proline 3-hydroxylase 4(P3H4).The expression of P3H4 in patients with BLCA was high,and survival time was shorter in patients with high expression.A sum of 33 miRNAs and 14 LncRNAs were screened using the key mRNAs as the central link.Through co-expression analysis and survival analysis,hsa-miR-151a-3p and MIR100 HG were identified as the key miRNA and key LncRNA with prognostic value.The differences in the above analysis results were statistically significant(all P＜0.05).Based on these findings,a ceRNA regulatory network consisting of 1 mRNA,1 miRNA,and 1 LncRNA was constructed.Immunoassay firstly revealed a significant positive correlation between double positive T cells and P3H4 expression in the tumor microenvironment of BLCA.Moreover,there were 3 types of immune cells(tumor-associated neutrophils,and tumor-associated macrophages,dendritic cells),3 immune checkpoints(CD274,PDCD1,CTLA4),and 15 IGs with significant correlation with P3H4.These differences were statistically significant(all P＜0.01).Conclusion This study could help to reveal the progression mechanism of BLCA.The constructed ceRNA network and immune analysis can offer new insights into potential biological targets and immunotherapy directions for the diagnosis,treatment,and prediction of BLCA patients.