[Analyze of the correlation and corresponding value of serum C-peptide and insulin in adult population]

Objective: To investigate the correlation between serum C-peptide and in adult population, and establish the corresponding insulin values of serum C-peptide levels. Methods: Cross-sectional study. The clinical data of the adults who underwent physical examination in the Second Medical Center of PLA General Hospital from January 2017 to December 2021 were retrospectively included. The participants were divided into type 2 diabetes group, prediabetes group and normal plasma glucose group according to the diagnostic criteria for diabetes. The correlation between serum C-peptide and insulin was explored by Pearson correlation analysis, linear regression analysis, and nonlinear regression analysis, and the corresponding insulin values of serum C-peptide were established. Results: A total of 48 008 adults were enrolled, including 31 633 males (65.9%) and 16 375 females (34.1%), aged (50.1±9.9) years (18-89 years). There were 8 160 subjects (17.0%) with type 2 diabetes, 13 263 subjects (27.6%) with prediabetes, and 26 585 subjects (55.4%) with normal plasma glucose. The serum fasting C-peptide (FCP, M(Q₁, Q₃)] of the three groups were 2.76(2.18, 3.47), 2.54(1.99, 3.21) and 2.18(1.71, 2.79)μg/L, respectively. The fasting insulin [FINS, M(Q₁,Q₃)] of the three groups were 10.98(7.57, 16.09), 10.06(6.95, 14.47) and 8.43(5.86,12.12)mU/L, respectively. FCP was positively correlated with FINS (r=0.82), and 2 h postprandial C-peptide (2 h CP) was positively correlated with 2 h postprandial insulin (2 h INS) (r=0.84) (both P<0.001). FCP was linearly associated with FINS (R²=0.68), and 2 h CP was linearly associated with 2 h INS (R²=0.71) (both P<0.001). There was a power function correlation between FCP and FINS (R²=0.74), and 2 h CP and 2 h INS (R²=0.78) (both P<0.001). The results of the statistical analysis were similar in various glucose metabolism subgroups. Since the fitting degree of the power function model was higher than that of the linear model, the power function model was the best model. The power function equation was FINS=2.96×FCP^1.32, and 2 h INS=1.64×(2 h CP)^1.60, respectively. Multivariate linear regression analysis demonstrated that FCP was a related factor of FINS (R²=0.70, P<0.001) and 2 h CP was a related factor of 2 h INS (R²=0.73, P<0.001), after adjusting for related confounders. Conclusions: There was a power function correlation between FCP and FINS, 2 h CP and 2 h INS in adult population. The insulin values corresponding to C-peptide levels were established in the study.

[Relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status]

Objective: To investigate the relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status. Methods: The demographic data and biochemical indicators of the adult population who had received physical examination in the Second Medical Center of the PLA General Hospital from January 2018 to December 2021 were collected. The subjects were divided into two groups according to the level of serum uric acid: the normal uric acid group and the hyperuricemia group. The relationship between hemoglobin (stratified into four levels of Q₁ to Q₄ by the quartile) and serum uric acid was quantified by using Pearson correlation and logistic regression analysis. The effects of age and glucose metabolism status on the relationship between hemoglobin and serum uric acid were analyzed. Results: A total of 33 183 adults were enrolled with age (50.6±10.0) years. The level of hemoglobin in the normal uric acid group (142.61±14.24) g/L was significantly lower than that in the hyperuricemia group [(151.79±11.24) g/L, P<0.001]. Univariate Pearson correlation analysis showed that hemoglobin was positively associated with serum uric acid (r=0.444, P<0.001). After adjusting for related confounding factors, multivariate logistic regression analysis showed that hemoglobin was associated with serum uric acid, and the OR values (95%CI) of hemoglobin Q₂ to Q₄ group were 1.29 (1.13-1.48), 1.42 (1.24-1.62) and 1.51 (1.32-1.72), respectively (P_trend<0.001) when compared with hemoglobin Q₁ group. Subgroup analysis and hierarchical interaction analysis suggested that with the increase of hemoglobin, the serum uric acid in the age<60 years subgroup, normal glucose subgroup and prediabetes subgroup increased gradually (P_trend<0.05 and P_interaction<0.001). Conclusion: The association between hemoglobin and serum uric acid in adults is affected by age and glucose metabolism status.

[A survey of correlation between serum 25-hydroxyvitamin D levels and dyslipidemia rlsk among middle-aged individuals in Beijing]

OBJECTIVE

To evaluate vitamin D status in middle-aged subjects in Beijing and explore the correlation between serum 25-hydroxyvitamin D[25(OH)D] levels and dyslipidemia.

METHODS

A total of 448 individuals over 40 years old were enrolled in the cross-sectional survey. The general information, blood biochemical and lipid profiles and serum 25(OH)D levels were collected. The subjects were either divided into two groups (the dyslipidemia group and the non-dyslipidemia group) based on the lipid levels, or four groups according to quartiles of 25(OH)D levels. The association between 25(OH)D levels and dyslipidemia risk was analyzed by a logistic regression analysis.

RESULTS

A total of 234 cases were in dyslipidemia group, which accounted for 52.23% of the subjects. The serum 25(OH)D levels were significantly lower in the dyslipidemia group than in the non-dyslipidemia group both in men and in women (all P<0.05). The median serum 25(OH)D level in the total subjects was 15.7 (12.2, 20.1)μg/L with 91.1% subjects of serum 25(OH)D level<30 μg/L. The proportion of subjects with dyslipidemia (high TC, high TG, high LDL-C, or low HDL-C) increased with the decrease of 25(OH)D level quartiles (P<0.05). After adjustment of confounding factors, the logistic regression analysis showed that subjects in the lowest 25(OH) D quartile group had 143% higher risks for dyslipidemia than those in the highest quartile group.

CONCLUSION

These findings indicate that 25(OH)D insufficiency is highly prevalent among middle-aged individuals and it may be associated with the risk of dyslipidemia.

Microvessel density of hepatocellular carcinoma: its relationship with prognosis

PURPOSE

To elucidate the relationship between angiogenesis and prognosis after curative resection of hepatocellular carcinoma (HCC).

METHODS

An immunohistochemical study using anti-CD34 monoclonal antibody was carried out on surgical specimens from 78 HCC patients who had undergone curative resection; microvessel density (MVD) was counted and the overall survival and disease-free survival were analyzed retrospectively.

RESULTS

Blood vessels in the tumor were strongly stained by anti-CD34 antibody, but not those in the surrounding liver parenchyma. There were three types of tumor vessels: capillary-like (n = 59), sinusoid-like (n = 16) and mixed-type (n = 3). The median MVD count was 100 per field. The HCC were designated as hypovascular (n = 36) with an MVD count below 100, and hypervascular (n = 42) with an MVD count of 100 or more per field. The 5-year survival and disease-free survival rates were 49.7% and 42.8% respectively, and statistical analysis showed that the MVD level was not correlated with tumor size, capsule status, Edmondson's grade, alpha-fetoprotein level, associated cirrhosis, gamma-glutamyltransferase, and serum HBsAg status. The sinusoid-like tumor vessels appeared more frequently in the more differentiated tumors (P<0.05). No statistical difference in overall and disease-free survival between different MVD levels and microvessel types was found. Tumor size was the only predicting factor in the entire series. In patients with small HCC (< or =5 cm, n = 40), 5-year survival and disease-free survival rates were 58.9% and 52.7% respectively, higher than the values in large HCC (39.8% and 32.0% respectively, P<0.05). The MVD level was an independent predicting factor of disease-free survival, 5-year disease-free survival in the hypovascular group (74.6%) being better than that in the hypervascular group (34.7%, P<0.05).

CONCLUSIONS

The MVD level was not related to tumor size, capsule statuo, Edmondson's grade, alpha-fetoprotein level, associated cirrhosis, gamma-glutamyltransferase and serum HBsAg status. In the entire series, tumor size was the only factor influencing survival after curative resection. However, in patients with small HCC, the MVD level was an independent factor of disease-free survival. The pathological and clinical implications of different types of tumor vessels in HCC remain to be studied.