Objective To characterize the relationship between diabetic peripheral neuropathy(DPN) and serum anti gangliosides antibody(GS). Methods Elderly patients were divided into three groups: patients with type 2 diabetes mellitus(DM) showing no DPN,DM group, 25; DPN group, 32; healthy control group, 30. The nerve conduction velocity was measured using Nicolet Viking type IV electromyography(USA). The anti GSIgM Ab and anti GSIgG Ab were examined by solid enzyme immunoassay, and interleukin 1?(IL 1?), IL 2,tumor necrosis factor ?(TNF ?), HbA 1C and NO were also measured. Results The positive rate of anti GSIgM Ab and anti GSIgG Ab in DPN group being 65.6% and 34.4% respectively, was obviously higher than those in N group and DM group(P

Objective To evaluate the detection competence of HbA2 and HbF in Guangxi medical laboratories.Methods The external quality assessment(EQA) of HbA2 and HbF was conducted twice a year and five samples was detected each time during 2012 to 2016.The laboratories participated in EQA completed the samples' detection and submitted the detection results at specified time according to the requirements of EQA.The distribution of each detection system,the qualification rate of each laboratory,the variation degrees of each detection system and each detection method,and the variations of results for different levels of quality control(QC) materials during 5 years were analyzed based on the returned results.Results The application of high performance liquid chromatography (HPLC) and capillary electrophoresis(CE) increased year by year and their usage rates in 2016 reached up to 46.1％ (82/178) and 18.0％ (32/178),respectively.The qualification rates of HbA2 and HbF increased from 51.5％ (34/66) and 60.6％ (40/66) in 2012 to 93.3％ (166/178) and 92.1％ (164/178) in 2016,respectively.The average coefficient of variation(CV) of each detection system decreased year by year.There were good CVs for the results of high,medium and low levels of HbA2 QC materials detected by the Bio-Rad Variant Ⅱ and Sebia CAPILLARYS 2 systems,and they were less than 6.0％.HPLC and CE could quantitatively detect the HbA2 and HbF levels,and their total detection competence was superior to that of agarose gel electrophoresis.Conclusion EQA can assess the abihty of one laboratory detecting HbA2 and HbF,and quantitatively analyze the levels of HbA2 and HbF,which may provide the quality assurance and data support for the screening and prevention of thalassemia.

Objective Inquire into the relationship between diabetic peripheral neuropathy(DPN)pathogenic factor and Antigangliosides antibody(Anti-GS-Ab)in type 2 diabetes mellitus. Methods It was examined by enzyme-linked immunosorbent assays(ELISA)to the levels of serum Anti-gangliosides(Anti-GS)in 2 DM and DPN as well as healthy.Results The positive rate of Anti-GS-IgM,IgG in DPN group were 46.7% and 20.0%.repectivily it was obviously higher than normal group and 2 DM group.Conclusion The relationship between the DPN and Anti-GS-Ab is a close.It show that Anti-GS-Ab play an important role in DPN pathological process.

The authors introduced the construction of one-stop admission service in a large general hospital.Measures were carried out by implementing the measures of one window handling of admission business, building one-stop pre-hospital preparation center, optimizing the operational pattern of pre-hospital examination, strictly controlling the hospitalization time of surgical patients, optimizing the information system according to admission criteria, providing personalized services for clinic and implementing quality monitoring.It effectively improved the pre-hospital examination rate, shortened the waiting time and the average length of stay of the patients undergoing elective surgery, and increased the satisfaction of pre-hospital patients.

【Objective】 To retrospectively analyze the key performance indicators of two hepatitis B surface antigen (HBsAg) ELISA reagents used in blood stations, so as to provide basis for reagent selection from the perspective of laboratory performance. 【Methods】 The test results, reactive rate of initial/repeat test, concordance rate of initial and repeat test, and the NAT-yield implicated in ELISA-reactive samples with one assay from 2016 to 2019 were analyzed to compare the detection performance of two ELISA reagents. 【Results】 The total ELISA reactive rate of HBsAg was 0.39%(1 863/480 741), with 0.31% and 0.29% in two reagents, respectively. The initial reactive rate were 0.44% and 0.39%, concordance rate of initial and repeat test was 70.21% and 74.55%, respectively. 43 NAT-yield samples were implicated in ELISA-reactive samples with one assay. 【Conclusion】 There are differences underlying in the detection performance of the two reagents. In order to avoid blood waste and ensure blood safety, the key performance indexes and test results should be taken into consideration when selecting reagents.

Molecular knowledge of human gastric corpus epithelium remains incomplete. Here, by integrated analyses using single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and single-cell assay for transposase accessible chromatin sequencing (scATAC-seq) techniques, we uncovered the spatially resolved expression landscape and gene-regulatory network of human gastric corpus epithelium. Specifically, we identified a stem/progenitor cell population in the isthmus of human gastric corpus, where EGF and WNT signaling pathways were activated. Meanwhile, LGR4, but not LGR5, was responsible for the activation of WNT signaling pathway. Importantly, FABP5 and NME1 were identified and validated as crucial for both normal gastric stem/progenitor cells and gastric cancer cells. Finally, we explored the epigenetic regulation of critical genes for gastric corpus epithelium at chromatin state level, and identified several important cell-type-specific transcription factors. In summary, our work provides novel insights to systematically understand the cellular diversity and homeostasis of human gastric corpus epithelium in vivo.
Humans ; Epigenesis, Genetic ; Gastric Mucosa/metabolism* ; Chromatin/metabolism* ; Stem Cells ; Epithelium/metabolism* ; Fatty Acid-Binding Proteins/metabolism*