[ ABSTRACT] AIM:To observe the changes of perilipin and adipose differentiation-related protein ( ADRP) du-ring the development of diabetes mellitus and to explore the effect of perilipin and ADRP on abnormal glucose metabolism with non-alcoholic fatty liver disease ( NAFLD) .METHODS:The rat model of impaired glucose tolerance ( IGT) was in-duced by feeding high-fat diet, and the type 2 diabetes mellitus (T2DM) model was induced by feeding high-fat diet for 4 weeks and intraperitoneally injecting streptozotocin.The morphological change of the liver tissue was observed under optical microscope.The serum contents of perilipin and ADRP were measured by ELISA.The mRNA expression of perilipin and ADRP in the liver tissues was detected by real-time PCR.The protein expression of ADRP in the liver tissues was deter-mined by Western blotting.RESULTS:HE staining showed steatosis in the liver of the rats in IGT group was more serious than that in T2DM group.The biochemical and the pathological processes of rat models were consistent with the clinical feature of related diseases.The serum content of perilipin had no difference among various groups.The mRNA expression of perilipin in IGT group and T2DM group was significantly higher than that in control group.Compared with IGT group, the mRNA expression of perilipin in T2DM group was significantly increased.The serum content of ADRP in T2DM group was significantly lower than that in control group.The mRNA and protein expression of ADRP in model groups was signifi-cantly lower than that in control group.Compared with IGT group, the mRNA expression of ADRP in T2DM group was sig-nificantly reduced.CONCLUSION: The serum content of ADRP plays a role in the development and progression of T2DM.It is negatively correlated with HOMA-IR.NAFLD occurs during progression of abnormal glucose metabolism in-duced by feeding high-fat diet.The development of abnormal glucose metabolism with NAFLD is probably related to the in-creased expression of perilipin and the reduced expression of ADRP.

Objective:To investigate the effect of automated nested multiplex PCR system in the detection of children with severe community-acquired pneumonia(CAP), and identify the pathogenic infection of the children with severe CAP in Foshan.Methods:Children with severe CAP, who were admitted to the PICU at Foshan First People′s Hospital from January 2016 to December 2018, were enrolled in the analysis.Nasopharyngeal secretions were collected.And automated nested multiplex PCR was used to detect adenovirus, coronavirus (HKUl type, NL63 type, 229E type, 0C43 type), human metapneumovirus, influenza A virus (H1 subtype, H1-2009 subtype, H3 subtype), influenza B virus, parainfluenza virus (type 1, type 2, type 3, type 4), respiratory syncytial virus, Bacillus pertussis, Chlamydia pneumoniae and Mycoplasma pneumonia.Results:Among the 290 specimens detected by the automated nested multiplex PCR, 246(84.83%) were positive.There were 166 positive samples for a single pathogen, 60 positive samples for two pathogens, 17 positive samples for three pathogens, and three positive samples for four pathogens.Among the virus-positive cases, respiratory syncytial virus was the most common pathogen in children younger than 6 months(62.39%, 73/117). The most common pathogen was human rhinovirus/enterovirus(43.48%, 20/46) from seven months to one year old.Adenovirus(37.50%, 18/48) was the most common pathogen among children aged one to three years old.Rhinovirus/enterovirus(35.00%, 7/20) was the most common pathogen among children aged three to six years old.The most common pathogen in children over six years old was influenza virus(46.67%, 7/15). The adenovirus detection rate was highest in May, the syncytial virus detection rate was highest in August, and the influenza virus detection rate was highest in July.Mycoplasma pneumoniae and pertussis were distributed throughout the year.Conclusion:The automated nested multiplex PCR system can detect multiple pathogens efficiently, quickly and accurately; the common pathogens of severe CAP are diverse in different age groups; the epidemic season of common pathogens is unique in different regions due to different climates.