Objective To investigate the relationships between serum concentration of RBP-4 and inflammatory factors,insulin resistance in patients with gestational diabetes mellitus.Methods20 patients newly diagnosed with impaired glucose tolerance (IGT),27 patients newly diagnosed with gestational diabetes mellitus(GDM) and 50 subjects with normal glucose tolerance(NGT) were enrolled in this cross-sectional study.Additionally,another subset analysis was performed,subjects were divided on the basis of BMI into normal weight (NW) and overweight or obesity (OW/OB).Serum RBP-4 was measured with ELISA;serum concentrations of hs-CRP,free fatty acids (FFA),triglyeride(TG),total cholesterol (TC) and insulin were measured in fasting status.Insulin resistance was assessed by HOMA-IR.ResultsLn(HOMA-IR) and the concentrations of FFA,ln(hs-CRP) in IGT or in GDM were significantly higher than that of NGT(P＜0.05).In the group of OW/OB,FFA[(0.90±0.31)mmol/L vs (0.71±0.28)mmol/L,t＝2.73,P＜0.05)],ln(hs-CRP)(0.62±1.00 vs -0.17±1.07,t＝2.90,P＜0.05),ln(HOMA-IR),lnRBP(0.56±0.27 vs 0.30±0.14,t＝2.86,P＜0.05)were significantly higher than that of NW.In the group of GDM,lnRBP-4 showed a positive relationship with FFA (r＝0.231,P＜0.05)and ln(hs-CRP) (r＝0.237,P＜0.05).There was a positive relationship between lnRBP-4 and FFA(r＝0.371,P＜0.05) or ln(hs-CRP)(r＝0.247,P＜0.05) in the group of OW/OB,but no association in the group of NGT,IGT or NW.There was no relationship between lnRBP-4 and ln(HOMA-IR) in IGT,GDM and NW,while in the group of NGT and OW/OB,lnRBP-4 showed a positive relationship with ln(HOMA-IR) (r＝0.276,0.290,P＜0.05).In a multiple linear regression analysis,ln(hs-CRP),FFA or ln(HOMA-IR) was not the independent factor of lnRBP-4 in any group.ConclusionsIn patients with gestational diabetes mellitus,lnRBP-4 may be a new marker of inflammation.

Objective To quantitatively analyze the risk indicators of re-introduction of imported malaria in China and their weighting coefficients, so as to investigate the difference in the contribution of risk indicators included in the current risk assessment framework for re-introduction of imported malaria in China to the risk assessment of re-introduction of imported malaria. Methods Publications pertaining to the risk assessment framework for re-introduction of imported malaria in China that reported the risk indicators and their weighting coefficients were retrieved in PubMed, Web of Science, CNKI, Wanfang Data, and VIP with terms of “malaria”, “re-introduction/re-transmission/re-establishment”, “risk assessment/risk evaluation/risk prediction” from the inception of the database through 3 August 2023, and literature search was performed in Google Scholar to ensure the comprehensiveness of the retrieval. Basic characteristics of included studies were extracted using pre-designed information extraction forms by two investigators, and data pertaining to risk indicators of re-introduction of imported malaria were cross-checked by these two investigators. The risk indicators included in the risk assessment framework for re-introduction of imported malaria in China and their weighting coefficients were visualized with the Nightingale’s rose diagrams using the software R 4.2.1, and the importance of risk indictors was evaluated with the frequency of risk indicators included in the risk assessment framework and the ranking of weighting coefficients of risk indicators. In addition, the capability of risk indicators screened by different weighting methods was compared by calculating the ratio of the maximum to the minimum of the weighting coefficients of the risk indicators screened by different weighting methods. Results A total of 2 138 publications were retrieved, and following removal of duplications and screening, a total of 8 publications were included in the final analysis. In these 8 studies, 8 risk assessment frameworks for re-introduction of imported malaria in China and 52 risk indicators of re-introduction of imported malaria were reported, in which number of imported malaria cases (n = 8) and species of malaria vectors were more frequently included in the risk assessment frameworks (n = 8), followed by species of imported malaria parasites (n = 6) and population density of local malaria vectors (n = 6), and species of local malaria vectors (n = 6), number of imported malaria cases (n = 5) and species of imported malaria parasites had the three highest weighting coefficients (n = 4). The weighting methods included expert scoring method, combination of expert scoring method and analytic hierarchy process, and combination of expert scoring method and entropy weight method in these 8 studies, and the ratios of the maximum to the minimum of the weighting coefficients of the risk indicators screened by the expert scoring method were 1.143 to 2.241, while the ratios of the maximum to the minimum of the weighting coefficients of the risk indicators screened by combination of the expert scoring method and analytic hierarchy process were 34.970 to 162.000. Conclusions Number of imported malaria cases, species of imported malaria parasites, species of local malaria vectors and population density of local malaria vectors are core indicators in the current risk assessment framework for re-introduction of imported malaria in China. Combination of the expert scoring method and analytic hierarchy process is superior to the expert scoring method alone for weighting the risk indicators.