高比容多糖治疗便秘合并血糖升高患者的研究

目的观察高比容多糖对便秘伴空腹血糖受损及便秘伴糖尿病患者的治疗作用及其对血糖的影响。方法选择便秘伴空腹血糖受损患者80例,便秘并发糖尿病患者60例,分别给予高比容多糖制剂15 g/d,分3次口服,治疗14 d。记录服药前后两组患者粪便分型、排便费力感、排便不尽或下坠胀感、肛门直肠阻塞感及高比容多糖对便秘患者空腹血糖、血糖波动值的影响。结果两组患者均获随访,服药期间无不良反应发生。治疗后7、14 d便秘合并空腹血糖受损组及便秘合并糖尿病组患者粪便分型、排便费力感、排便不尽或下坠胀感、肛门直肠阻塞感等情况与治疗前比较均获得明显改善,差异有统计学意义(P <0.05);便秘合并空腹血糖受损患者应用高比容多糖后空腹血糖及血糖波动值与治疗前比较均下降,差异有统计学意义(P <0.05)。便秘合并糖尿病患者血糖波动值从(4.14±1.62)mmol/L下降为(3.60±1.72)mmol/L,差异有统计学意义(P <0.05)。结论高比容多糖对便秘合并空腹血糖受损或糖尿病患者的便秘疗效确切,安全无副作用;对便秘合并空腹血糖受损患者的空腹血糖及血糖波动值有降低和平稳作用;对便秘合并糖尿病患者的空腹血糖无下降作用,但对血糖波动值有平稳作用。

Effects of viral infection and microbial diversity on patients with sepsis:A retrospective study based on metagenomic next-generation sequencing

BACKGROUND: The study aims to investigate the performance of a metagenomic next-generationsequencing (NGS)-based diagnostic technique for the identifi cation of potential bacterial and viral infectionsand eff ects of concomitant viral infection on the survival rate of intensive care unit (ICU) sepsis patients.METHODS: A total of 74 ICU patients with sepsis who were admitted to our institution from February1, 2018 to June 30, 2019 were enrolled. Separate blood samples were collected from patients for bloodcultures and metagenomic NGS when the patients’ body temperature was higher than 38 °C. Patients’demographic data, including gender, age, ICU duration, ICU scores, and laboratory results, were recorded.The correlations between pathogen types and sepsis severity and survival rate were evaluated.RESULTS: NGS produced higher positive results (105 of 118;88.98%) than blood cultures(18 of 118;15.25%) over the whole study period. Concomitant viral infection correlated closelywith sepsis severity and had the negative effect on the survival of patients with sepsis. However,correlation analysis indicated that the bacterial variety did not correlate with the severity of sepsis.CONCLUSIONS: Concurrent viral load correlates closely with the severity of sepsis and thesurvival rate of the ICU sepsis patients. This suggests that prophylactic administration of antiviraldrugs combined with antibiotics may be benefi cial to ICU sepsis patients.

Expression of miR-1304 in patients with esophageal carcinoma and risk factors for recurrence

BACKGROUND Esophageal carcinoma is a malignant gastrointestinal tumor with a very poor prognosis.MicroRNA(miR)-1304 is a newly discovered non-coding RNA,which shows differential expression in other cancers,and its clinical value in esophageal carcinoma remains unclear.AIM To explore the expression of miR-1304 in patients with esophageal carcinoma and its clinical value.METHODS The expression of miR-1304 in patients with esophageal carcinoma was analyzed based on the data on miR in esophageal carcinoma downloaded from The Cancer Genome Atlas database.Quantitative real-time polymerase chain reaction was adopted to determine the expression of miR-1304 in the tissues and serum of patients.The clinical diagnostic value of miR-1304 and independent factors for recurrence and prognosis of esophageal carcinoma were then analyzed.The potential target genes of miR-1304 were predicted,and then analyzed based on gene ontology,Kyoto Encyclopedia of Genes,and Genomes,and protein-protein interaction.RESULTS The expression of miR-1304 in the tissues and serum of patients with esophageal carcinoma increased,and was also increased according to the database.Patients with high expression of miR-1304 suffered increased rates of tumor≥3 cm,low differentiation and stage II+III.miR-1304 had a diagnostic value in identifying esophageal carcinoma,tumor size,differentiation and TNM stage.Tumor size,differentiation,TNM stage,and miR-1304 were independent risk factors for recurrence of esophageal carcinoma,and they had certain predictive and diagnostic value for the recurrence of esophageal carcinoma.Seventy-eight patients showed a 3-year survival rate of 38.46%,and patients with high expression of miR-1304 had a relatively lower survival rate.Multivariate analysis revealed that tumor size,differentiation,recurrence and miR-1304 were independent factors for the prognosis of patients.MiRTarBase,miRDB,and Targetscan predicted 20 target genes in total.Gene ontology enrichment analysis found 18 functions with aP<0.05,and Kyoto Encyclopedia of Genes,and Genomes analysis found 11 signal pathways with aP<0.05.String analysis of protein co-expression found 269 relationship pairs,of which co-expression with epidermal growth factor was the most common.CONCLUSION miR-1304 can be used as a potential indicator for the diagnosis and recurrence of esophageal carcinoma and for survival of patients with this disease.

Comprehensive multi-omics analysis identified core molecular processes in esophageal cancer and revealed GNGT2 as a potential prognostic marker

BACKGROUND Esophageal cancer is one of the most poorly diagnosed and fatal cancers in the world.Although a series of studies on esophageal cancer have been reported,the molecular pathogenesis of the disease remains elusive.AIM To investigate comprehensively the molecular process of esophageal cancer.METHODS Differential expression analysis was performed to identify differentially expressed genes(DEGs)in different stages of esophageal cancer from The Cancer Genome Atlas data.Exacting gene interaction modules were generated,and hub genes in the module interaction network were found.Further,through survival analysis,methylation analysis,pivot analysis,and enrichment analysis,some important molecules and related functions/pathways were identified to elucidate potential mechanisms in esophageal cancer.RESULTS A total of 7457 DEGs and 14 gene interaction modules were identified.These module genes were significantly involved in the positive regulation of protein transport,gastric acid secretion,insulin-like growth factor receptor binding,and other biological processes as well as p53 signaling pathway,epidermal growth factor signaling pathway,and epidermal growth factor receptor signaling pathway.Transcription factors(including hypoxia inducible factor 1A)and noncoding RNAs(including colorectal differentially expressed and hsa-miR-330-3p)that significantly regulate dysfunction modules were identified.Survival analysis showed that G protein subunit gamma transducin 2(GNGT2)was closely related to survival of esophageal cancer.DEGs with strong methylation regulation ability were identified,including SST and SH3GL2.Furthermore,the expression of GNGT2 was evaluated by quantitative real time polymerase chain reaction,and the results showed that GNGT2 expression was significantly upregulated in esophageal cancer patient samples and cell lines.Moreover,cell counting kit-8 assay revealed that GNGT2 could promote the proliferation of esophageal cancer cell lines.CONCLUSION This study not only revealed the potential regulatory factors involved in the development of esophageal cancer but also deepens our understanding of its underlying mechanism.