AIM: To investigate the association between true insulin and proinsulin and clustering of cardiovascular risk factors.METHODS: Based on the random stratified sampling principles, 1196 Chinese people (533 males and 663...AIM: To investigate the association between true insulin and proinsulin and clustering of cardiovascular risk factors.METHODS: Based on the random stratified sampling principles, 1196 Chinese people (533 males and 663 females,aged 35-59 years with an average age of 46.69 years) were recruited. Biotin-avidin based double monoclonal antibody ELISA method was used to detect the true insulin and proinsulin, and a risk factor score was set to evaluate individuals according to the number of risk factors.RESULTS: The median (quartile range) of true insulin and proinsulin was 4.91 mIu/L (3.01-7.09 mIu/L) and 3.49 pmol/L (2.14-5.68 pmol/L) respectively, and the true insulin level of female subjects was significantly higher than that of male subjects (P = 0.000), but the level of proinsulin displayed no significant difference between males and females (P = 0.566). The results of covariate ANOVA after age and sex were controlled showed that subjects with any of the risk factors had a significantly higher true insulin level (P = 0.002 for hypercholesterolemia, P = 0.021 for high low-density lipoprotein cholesterol, P = 0.003 for low high-density lipoprotein cholesterol, and P = 0.000 for other risk factors) and proinsulin level (P = 0.001 for low high-density lipoprotein cholesterol, and P = 0.000 for other risk factors)than those with no risk factors. Furthermore, subjects with higher risk factor scores had a higher true insulin and proinsulin level than those with lower risk factor scores (P = 0.000). The multiple linear regression models showed that true insulin and proinsulin were significantly related to cardiovascular risk factor scores respectively (P = 0.000).CONCLUSION: True insulin and proinsulin are significantly associated with the clustering of cardiovascular risk factors.展开更多
AIM: To explore the relationship between the level of proinsulin with cardiovascular risk factors and sleep snoring.METHODS: Based on the random stratified sampling principle, 1 193 Chinese residents in Pizhou City, J...AIM: To explore the relationship between the level of proinsulin with cardiovascular risk factors and sleep snoring.METHODS: Based on the random stratified sampling principle, 1 193 Chinese residents in Pizhou City, Jiangsu Province (530 males and 663 females, aged 35-59 years with an average age of 46.69 years) were recruited. Their sleep snoring habits were investigated. Biotin-avidin based double mAbs ELISA was used to detect specific insulin and proinsulin, and a risk factor score was established to evaluate the individuals according to the number of their risk factors.RESULTS: The results of Spearman correlation analysis and covariate ANOVA analysis after age and sex were controlled, indicated that not only the level of proinsulin (r = 0.156, P = 0.000, F= 5.980 P = 0.000), but also cardiovascular risk factors score (r = 0.194, P = 0.000,F= 11.135, P = 0.000) significantly associated with the frequency of sleep snoring, and the significant relationship between true insulin and frequency of sleep snoring was only shown in the covariate ANOVA analysis (F = 2.868,P = 0.022). The result of multivariate stepwise logistic regression after age, sex, body mass index, waist circumference and true insulin were controlled showed that proinsulin (division by interval of quartile) was an independent risk factor for sleep snoring (OR = 1.220,95%CI: 1.085-1.373, P = 0.001).CONCLUSION: The interaction of cardiovascular risk factors clustering, high proinsulin level and sleep breathing disorder may be a syndrome, which has not been recognized in human beings so far.展开更多
Objective:To study the changes of true insulin(TI) and immunoreactive insulin (IRI) in subjects with NGT, IGT and DM, to study the difference between true insulin and immunoreactive insulin in evaluating βcell functi...Objective:To study the changes of true insulin(TI) and immunoreactive insulin (IRI) in subjects with NGT, IGT and DM, to study the difference between true insulin and immunoreactive insulin in evaluating βcell function and insulin sensitivity. Methods:The levels of serum IRI and TI were determined in 54 cases with type Ⅱ diabetes mellitus(Group DM) ,43 cases with impaired glucose tolerance (Group IGT) and 75 cases with normal glucose tolerance (Group NGT). Then every group was subdivided into obese and non - obese subgroups according to body mass index. IRI was determined by RIA. TI was determined by ELISA using monoclonal antibody with no significant cross- reaction between insulin and proinsulin. The insulin resistance index (Homa- IR), pancreatic β- cell function index (Homa- B) and insulin release index (the ratio of the increment of insulin to that of plasma glucose 30 min after a glucose load,△ I30/△G30) were analyzed preliminarily. Results: The ratio of TI/IRI in non - obese subgroup with DM was lower than those in non obese subgroups with NGT and IGT (P＜0.01). The ratios of TI/Ipd in obese subgroups with IGT and DM were lower than those in obese subgroup with NGT(P＜0.05). The pancreatic β-cell function indexes (Homa-BIRI) of IRI in non- obese subgroups with IGT and DM were lower than that in non- obese subgroup with NGT(P＜0.05). The pancreatic β - cell function index (Homa- BTI) of TI in non- obese subgroup with IGT was lower than that in non obese subgroups with NGT ( P ＜ 0.05 ). The HomaBTI in non - obese subgroup with DM was lower than that in non - obese subgroups with NGT and IGT(P ＜0.01).The Homa - BIRI in obese subgroups of NGT, IGT and DM had no significant difference. Homa - BTI in obese subgroups with IGT and DM was lower than that in obese subgroup with NGT(P＜0.01). Conclusion:The ratio of TI/IRI was a good marker in evaluating β- cell function. Pancreatic β- cell function index (Homa- BTI) of TI was better than that of IRI.展开更多
文摘AIM: To investigate the association between true insulin and proinsulin and clustering of cardiovascular risk factors.METHODS: Based on the random stratified sampling principles, 1196 Chinese people (533 males and 663 females,aged 35-59 years with an average age of 46.69 years) were recruited. Biotin-avidin based double monoclonal antibody ELISA method was used to detect the true insulin and proinsulin, and a risk factor score was set to evaluate individuals according to the number of risk factors.RESULTS: The median (quartile range) of true insulin and proinsulin was 4.91 mIu/L (3.01-7.09 mIu/L) and 3.49 pmol/L (2.14-5.68 pmol/L) respectively, and the true insulin level of female subjects was significantly higher than that of male subjects (P = 0.000), but the level of proinsulin displayed no significant difference between males and females (P = 0.566). The results of covariate ANOVA after age and sex were controlled showed that subjects with any of the risk factors had a significantly higher true insulin level (P = 0.002 for hypercholesterolemia, P = 0.021 for high low-density lipoprotein cholesterol, P = 0.003 for low high-density lipoprotein cholesterol, and P = 0.000 for other risk factors) and proinsulin level (P = 0.001 for low high-density lipoprotein cholesterol, and P = 0.000 for other risk factors)than those with no risk factors. Furthermore, subjects with higher risk factor scores had a higher true insulin and proinsulin level than those with lower risk factor scores (P = 0.000). The multiple linear regression models showed that true insulin and proinsulin were significantly related to cardiovascular risk factor scores respectively (P = 0.000).CONCLUSION: True insulin and proinsulin are significantly associated with the clustering of cardiovascular risk factors.
基金Supported by the National Natural Science Foundation of China,No. 30400173
文摘AIM: To explore the relationship between the level of proinsulin with cardiovascular risk factors and sleep snoring.METHODS: Based on the random stratified sampling principle, 1 193 Chinese residents in Pizhou City, Jiangsu Province (530 males and 663 females, aged 35-59 years with an average age of 46.69 years) were recruited. Their sleep snoring habits were investigated. Biotin-avidin based double mAbs ELISA was used to detect specific insulin and proinsulin, and a risk factor score was established to evaluate the individuals according to the number of their risk factors.RESULTS: The results of Spearman correlation analysis and covariate ANOVA analysis after age and sex were controlled, indicated that not only the level of proinsulin (r = 0.156, P = 0.000, F= 5.980 P = 0.000), but also cardiovascular risk factors score (r = 0.194, P = 0.000,F= 11.135, P = 0.000) significantly associated with the frequency of sleep snoring, and the significant relationship between true insulin and frequency of sleep snoring was only shown in the covariate ANOVA analysis (F = 2.868,P = 0.022). The result of multivariate stepwise logistic regression after age, sex, body mass index, waist circumference and true insulin were controlled showed that proinsulin (division by interval of quartile) was an independent risk factor for sleep snoring (OR = 1.220,95%CI: 1.085-1.373, P = 0.001).CONCLUSION: The interaction of cardiovascular risk factors clustering, high proinsulin level and sleep breathing disorder may be a syndrome, which has not been recognized in human beings so far.
文摘Objective:To study the changes of true insulin(TI) and immunoreactive insulin (IRI) in subjects with NGT, IGT and DM, to study the difference between true insulin and immunoreactive insulin in evaluating βcell function and insulin sensitivity. Methods:The levels of serum IRI and TI were determined in 54 cases with type Ⅱ diabetes mellitus(Group DM) ,43 cases with impaired glucose tolerance (Group IGT) and 75 cases with normal glucose tolerance (Group NGT). Then every group was subdivided into obese and non - obese subgroups according to body mass index. IRI was determined by RIA. TI was determined by ELISA using monoclonal antibody with no significant cross- reaction between insulin and proinsulin. The insulin resistance index (Homa- IR), pancreatic β- cell function index (Homa- B) and insulin release index (the ratio of the increment of insulin to that of plasma glucose 30 min after a glucose load,△ I30/△G30) were analyzed preliminarily. Results: The ratio of TI/IRI in non - obese subgroup with DM was lower than those in non obese subgroups with NGT and IGT (P＜0.01). The ratios of TI/Ipd in obese subgroups with IGT and DM were lower than those in obese subgroup with NGT(P＜0.05). The pancreatic β-cell function indexes (Homa-BIRI) of IRI in non- obese subgroups with IGT and DM were lower than that in non- obese subgroup with NGT(P＜0.05). The pancreatic β - cell function index (Homa- BTI) of TI in non- obese subgroup with IGT was lower than that in non obese subgroups with NGT ( P ＜ 0.05 ). The HomaBTI in non - obese subgroup with DM was lower than that in non - obese subgroups with NGT and IGT(P ＜0.01).The Homa - BIRI in obese subgroups of NGT, IGT and DM had no significant difference. Homa - BTI in obese subgroups with IGT and DM was lower than that in obese subgroup with NGT(P＜0.01). Conclusion:The ratio of TI/IRI was a good marker in evaluating β- cell function. Pancreatic β- cell function index (Homa- BTI) of TI was better than that of IRI.
