Objective To analyze the structures and molecular weight distributions of the capsular polysaccharides from 6 serotypes of pneumococcus .Methods The structures of pneumococcal capsular pol-ysaccharides of 6 serotypes were analyzed by 1 H nuclear magnetic resonance ( NMR) .Chemical shifts of all characteristic protons were investigated to analyze polysaccharide integrity and inter -assay consistency .High performance size exclusion chromatography-multi angle laser light scattering ( HPSEC-MALLS) was used to measure the molecular weights .Results The chemical shifts of all characteristic protons of the pneumococ-cal capsular polysaccharides of 6 serotypes were consistent with the standard chemical shift .The weight-aver-age molecular mass of the pneumococcal capsular polysaccharides ranged from 7.182×104 g/mol(for serotype 19A) to 1.273×106 g/mol(for serotype 9V)examined by HPSEC-MALLS.Conclusion The structures and molecular weight distributions of pneumococcal capsular polysaccharides could be rapidly and effectively ana -lyzed by 1 H NMR and HPSEC-MALLS.Moreover, C-PS and acetate contained in capsular polysaccharides could also be detected .HPSEC-MALLS is an applicable method for the quantitative analysis of molar mass distributions in different serotypes of pneumococcal capsular polysaccharides . Although 1 H NMR and HPSEC-MALLS have been accepted as the quality control measurements by WHO , to use them as the re-placements of the traditional QC method still needs further investigation .

Objective To investigate the impact of an integrated online and offline(O+O)co-care model on blood glucose management and pregnancy outcomes in pregnant patients with hyperglycemia.Methods A total of 200 pregnant patients with hyperglycemia(HIP)admitted to the Department of Endocrinology,Second Hospital of Jilin University were enrolled in this study from January 2021 to March 2023.All the participants were divided into two groups according to their diagnosis and treatment approach:routine group(n=102)and nursing group(n=98).General data were collected from the initial visit until delivery for comparative analysis between the two groups,including FPG,2 hPG,HbA1c,body weight,BMI,and daily insulin doses.Logistic regression analysis was used to evaluate the influencing factors for adverse pregnancy outcome in patients with gestational hyperglycemia.Results The care group exhibited higher rates of family history of DM,polycystic ovary syndrome,primipara,gestational diabetes mellitus,and diabetes combined with pregnancy compared to the routine group(P<0.01).The first visit of FPG,2 hPG,HbA1c,△FPG,△2 hPG,△HbA1c,2 hPG compliance rate,HbA1c compliance rate were higher(P<0.01),while the excess rates of △weight,2 hPG at delivery,△BMI and overweight weight gain were lower incare group than in routine group(P<0.05 or P<0.01).FPG,2 hPG and HbA1c were lower at delivery than at first visit in both groups(P<0.01).The nursing group had a lower incidence of adverse pregnancy outcomes including macrosomia and NICU admissions compared to the conventional group(P<0.05 or P<0.01).Logistic regression analysis revealed that the co-care mode was an influential factor for adverse pregnancy outcomes.Conclusions The O+O co-care mode is beneficial for managing blood glucose levels during pregnancy as well as controlling weight gain and reducing the risk of adverse pregnancy outcomes in HIP patients.