ABSTRACT
Objective To analyze the correlation between inflammation,nutritional indicators and hy-poproteinemia in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD).Meth-ods The clinical data of patients with AECOPD admitted to the Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xiamen University from January 2020 to September 2022 were ret-rospectively analyzed,and the patients were divided into the hypoproteinemia group(n=73)and the non-hy-poproteinemia group(n=141)according to whether the serum albumin(ALB)was lower than 35 g/L.The clinical data,inflammatory indicators and nutritional indicators of the two groups were compared,Spearman correlation analysis was performed,and binary logistic regression analysis was performed to analyze the influ-encing factors of patients with AECOPD complicated with hypoproteinemia.Results There were statistically significant differences in age,length of hospital stay,and body weight between the two groups(P＜0.05).There were no significant differences in gender,number of hospitalizations in the past 1 year,height,diabetes,hypertension and proportion of coronary heart disease(P＞0.05).Compared with the non-hypoproteinemia group,the hypoproteinemia group had longer hospital stays and higher levels of C-reactive protein,neutrophil/albumin ratio(NAR),neutrophil to lymphocyte ratio(NLR),platelet-lymphocyte ratio(PLR),and systemic immunoinflammatory index(SII).The prognostic nutritional index(PNI),body mass index(BMI),hemoglo-bin and total protein levels were lower,and the difference was statistically significant(P＜0.05).Body weight,BMI,hemoglobin,total protein,PNI and AECOPD patients with hypoproteinemia were negatively cor-related(P＜0.05),while age,length of hospital stay,C-reactive protein,NAR,NLR,PLR,SII and AECOPD patients with hypoproteinemia were positively correlated(P＜0.05).Binary logistic regression analysis showed that PNI,SII and NLR were the influencing factors of hypoproteinemia in AECOPD patients.Conclusion In clinical practice,attention should be paid to and timely correction of hypoproteinemia in pa-tients with AECOPD,improvement of inflammatory indicators and nutritional status of patients,and preven-tion of acute exacerbation.
ABSTRACT
Objective To establish a HPLC method for simultaneous determination of seven constituents in Pifubingxuedu tablet.Methods The determination was performed on Kromasil-C18 column (4.6 mm × 250 mm, 5 μm).The mobile phase was acetonitrile-0.5％ phosphoric acid aqueous solution with a flow rate of 0.8ml/min.The detector was PDA and detection wavelength was set at 245,325,403 nm, respectively.Results A method has been established for the determination of chlorogenic acid, hydroxy Safflower Pigment A, paeoniflorin, forsythiaside A, ferulic acid, berberine and glycyrrhizin acid in one run by HPLC.Their average contents and RSD in each Pifubingxuedu tablet were 0.299 5 mg/tablet (2.25％);0.700 0 mg/tablet(1.33％);0.429 2 mg/tablet (1.21％);0.039 1 mg/tablet (2.34％);0.014 8 mg/tablet(2.23％);0.209 0 mg/tablet (2.06％);0.272 7 mg/tablet (2.68％), respectively.Conclusion The established method is simple, convenient, accurate and reliable.It is suitable for the quality control of Pifubingxuedu tablet.
ABSTRACT
Objective To provide original reference data for oral ecosystem research, Tibet minipigs, beagle dogs, rhesus monkey, New Zealand white rabbits and Wistar rats were selected to study their respective characteristics of oral microbial mmunities and compared with normal data of humans.Methods Total DNA was extracted from the specimens of oral microbial communities of Tibet minipigs, beagle dogs, rhesus monkey, New Zealand white rabbits and Wistar rats, and used to amplify 16S rRNA V4 fragments with labeled universal primers.The diversity and structure of microbial communities from those animals were compared with that of humans using BIPES and QIIME analysis after Illumina sequencing of 16S rRNA V4 fragments.Results The richness of the oral microbial communities of humans and the five species of laboratory animals was significantly different (P <0.05).Different species of animals have their own unique oral flora, among which the oral flora of the monkey is the most similar to that of humans.Conclusions Among the five species of laboratory animals, the oral microbial communities of rhesus monkeys and humans have highest similarity. Specifically, the Fusobacterium and Porphyromonas levels of rhesus monkeys is most similar to those of humans.Our findings indicate that rhesus monkeys may be suitable animal model for studies of human oral microbial communities.Tibet minipigs may be suitable animal model for Proteobacteria studies, while beagle dogs may be appropriate for modeling of diseases related to Spirochaetes.