Most information used to evaluate diabetic statuses is collected at a special time-point, such as taking fasting plasma glucose test and providing a limited view of individual's health and disease risk. As a new parameter for continuously evaluating personal clinical statuses, the newly developed technique "continuous glucose monitoring" (CGM) can characterize glucose dynamics. By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy analysis of the CGM data, the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes (P for trend < 0.01). Furthermore, CGI was significantly associated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple linear stepwise regression showed that the disposition index, which reflects β-cell function after adjusting for insulin sensitivity, was the only independent factor correlated with CGI (P < 0.01). Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.
Humans ; Glucose ; Blood Glucose ; Insulin Resistance/physiology* ; Diabetes Mellitus, Type 2/diagnosis* ; Blood Glucose Self-Monitoring ; Time Factors ; Insulin

Background::The potential impact of β cell function and insulin sensitivity on adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM) remains uncertain. We aimed to investigate the association between β cell dysfunction, insulin resistance, and the composite adverse pregnancy outcomes.Methods::This observational study included 482 women diagnosed with GDM during pregnancy. Quantitative metrics on β cell function and insulin sensitivity during pregnancy were calculated using traditional equations. The association of β cell dysfunction and insulin resistance with the risk of the composite adverse pregnancy outcomes was investigated using multivariable-adjusted logistic regression models.Results::Multivariable-adjusted odds ratios (ORs) of adverse pregnancy outcomes across quartiles of homeostatic model assessment for insulin resistance (HOMA-IR) were 1.00, 0.95, 1.34, and 2.25, respectively ( P for trend = 0.011). When HOMA-IR was considered as a continuous variable, the multivariable-adjusted OR of adverse pregnancy outcomes was 1.34 (95% confidence interval 1.16-1.56) for each 1-unit increase in HOMA-IR. Multivariable-adjusted ORs of adverse pregnancy outcomes across quartiles of homeostatic model assessment for β cell function (HOMA-β) were 1.00, 0.51, 0.60, and 0.53, respectively ( P for trend = 0.068). When HOMA-β was considered as a continuous variable, the multivariable-adjusted OR of adverse pregnancy outcomes was 0.57 (95% CI 0.24-0.90) for each 1-unit increase in HOMA-β. However, other quantitative metrics were not associated with the composite adverse pregnancy outcomes. Conclusions::We demonstrated a significant association of β cell function and insulin sensitivity with the risk of adverse pregnancy outcomes. We have provided additional evidence on the early identification of adverse pregnancy outcomes besides the glycemic values.

Objective:To compare the efficacy and safety of Tonghua Dongbao′s insulin aspart injection (Rishulin) and NovoRapid (Novo Nordisk) in the treatment of diabetes.Methods:A 26-week, randomized, open-label, parallel-group, positive control drug and non-inferiority trial was conducted in 23 centers in China. A total of 563 diabetes with poor blood glucose control treated with insulin for at least 3 months before were included. The subjects were randomized(stratified block random method) into those receiving Rishulin or NovoRapid at a ratio of 3∶1. Both groups were combined with basal insulin (Lantus). The primary endpoint was the change in glycosylated hemoglobin (HbA1c) from baseline to the end of 24 weeks of treatment.Results:For full analysis set, after 24 weeks of treatment, HbA1c level of Ruishulin group decreased from (8.66±1.28)% to (7.77±1.09)% ( P<0.001), and that of NovoRapid group decreased from (8.47±1.28) % to (7.65±0.97) % ( P<0.001). Treatment difference in HbA1c (NovoRapid group-Ruishulin group) was -0.061% (95% CI -0.320-0.199). HbA1c<7.0% target reacing rates were 24.26% and 21.21% ( P=0.456), and HbA1c<6.5% target reacing rates were 9.65% and 6.82% ( P=0.310) in Ruishulin group and NovoRapid group, repectively. The standard 2 hours postprandial blood glucose (2hPG) in Ruishulin group decreased from (16.23±5.22) mmol/L to (12.65±4.57) mmol/L ( P<0.001), and 2hPG in NovoRapid group decreased from (16.13±5.37) mmol/L to (11.91)±4.21) mmol/L ( P<0.001). The fingertips blood glucose at 7-point of both groups exhibited varying degrees of reduction compared with those at baseline, repectively. Positive ratios of specific antibodies were 31.68% in Ruishulin group and 36.36% in NovoRapid group ( P=0.320). Ratios of negative to positive were 7.43% and 10.61% ( P=0.360), and ratios of positive to negative were 10.40% and 7.58% ( P=0.360) in Ruishulin group and NovoRapid group, respectively. The incidence of hypoglycemia was 60.05% and 55.40% ( P=0.371), and the incidence of adverse events was 76.60% and 77.70% ( P=0.818) in Ruishulin group and NovoRapid group, respectively. Conclusions:Rishulin is not inferior to NovoRapid, and has shown good efficacy and safety. It can be an ideal choice for clinicians in patients with poor blood glucose control with insulin.

Background In the process of greenhouse working, labor intensity is high and repetitive work involves multiple body parts such as limbs, neck, upper back, and lower back. The prevalence and comorbidity of work-related musculoskeletal disorders (WMSDs) in greenhouse workers are worthy of attention. Objective This study is conducted to investigate the prevalence and comorbidity, as well as potential influencing factors of WMSDs in greenhouse workers. Methods A total of 722 greenhouse workers were selected as the subjects for a cross-sectional epidemiological survey. Through questionnaire survey and physical examination, basic information of the subjects and the prevalence of WMSDs were collected. The participants were divided into low, medium, and high cumulative exposure groups by cumulative exposure index matrix. Chi-square test was used to analyze the difference of prevalence among different cumulative exposure levels, the correlation between the prevalence of WMSDs in paired sites was calculated as prevalence ratio (PR) by using the log-binomial model, the prevalence of multi-site WMSDs in each group was compared by Wilcoxon rank sum test, and the influencing factors of multi-site WMSDs were evaluated by multi-classification logistic regression model. Results The prevalence rate of WMSDs in the greenhouse workers was 78.7% (568/722). The main affected sites of body were lower back, legs, neck, and shoulders, and associated prevalence rates were 47.6%, 46.0%, 27.1%, and 23.8%, respectively. By constructing a cumulative exposure index matrix, the low, medium, and high cumulative exposure groups contained 121, 196, and 405 workers respectively. The prevalence rates of WMSDs in lower back, legs, or shoulders were significantly different among groups with different exposure levels (P<0.05), and the prevalence rates increased with higher cumulative exposure levels (lower back, \begin{document}${χ} _{{{\rm{trend}}}} ^2$\end{document}=11.144, P<0.05; legs, \begin{document}${χ} _{{{\rm{trend}}}} ^2$\end{document}=6.767, P<0.05; shoulders, \begin{document}${χ} _{{{\rm{trend}}}} ^2$\end{document}=15.666, P<0.05). The results of log-binomial model found that lower back and legs (PR values were 1.57 and 1.43, respectively) as well as neck and shoulders (PR values were 2.00 and 2.07, respectively) among the main affected parts have a strong association with comorbidities. The prevalence of multi-site WMSDs showed that 50.4% of the workers had comorbidity of two or more sites of WMSDs. The results of multi-classification logistic regression analysis indicated that the influencing factors of WMSDs in two sites involved high-level cumulative exposure (OR=2.41, 95%CI: 1.34-4.33) and female (OR=3.27, 95%CI: 2.07-5.16); the influencing factors of WMSDs in three or more sites also included medium-level cumulative exposure (OR=3.78, 95%CI: 1.70-8.39), high-level cumulative exposure (OR=7.34, 95%CI: 3.41-15.80), and female (OR=5.66, 95%CI: 3.48-9.22). Conclusion In this study, the prevalence rates of WMSDs in lower back, legs, neck, and shoulders are high among selected solar greenhouse workers, and WMSDs comorbidity of lower back-legs and neck-shoulders are identified. Greenhouse workers with high cumulative exposure level and female workers report more WMSDs comorbidities in two or more sites.

Background Due to long working time and complex and changeable lighting conditions, greenhouse workers' anisometropia is an issue of concern. Objective This study is conducted to evaluate the relationship between solar greenhouse working and anisometropia of workers. Methods Subjects of a solar greenhouse group and a non-greenhouse group in northwest area of China were selected. Questionnaire survey was used to collect general demographicinformation. Standard Logarithmic Visual Acuity Chart (GB 11533—2011) was used to measure naked eye vision before working, the absolute value of binocular visual acuity difference was calculated and converted into classification variables, and both anisometropia absolute value and classification variables of anisometropia were used as indicators to compare the difference of the two groups. A cumulative exposure index that multiplies exposure time and number of greenhouses was further introduced to evaluate cumulative exposure levels of the greenhouse workers and was used to divide them into low, medium, and high cumulative exposure subgroups. Generalized linear model and logistic regression model were used to analyze possible risk factors associated with anisometropia. Results A total of 1002 subjects were enrolled in this study, including 739 workers in the greenhouse group and 263 workers in the non-greenhouse group. The medians (interquartile intervals) of anisometropia of the greenhouse group and non-greenhouse group were 0.1 (0, 0.2) and 0 (0, 0.1) respectively, and the difference was statistically significant (P<0.05). The proportions of anisometropia=0, ≤0.2, and >0.2 in the greenhouse group were 34.2%, 55.2%, and 10.6%, respectively, and those in the non-greenhouse group were 58.2%, 34.6%, and 7.2%, respectively. The difference of anisometropia distribution between the two groups was statistically significant (P<0.05). According to the cumulative exposure index, the greenhouse group was divided into low, medium, and high cumulative exposure subgroups, with 154 (21.0%), 188 (25.6%), and 392 (53.4%) workers, respectively. There was no statistical significance in anisometropia among workers with different cumulative exposure levels (P>0.05). The results of multiple generalized linear analysis showed that greenhouse working was a risk factor of anisometropia (b=0.053, P<0.05), and the results of multiple logistic regression analysis showed that greenhouse working was associated with an increased risk of anisometropia (OR=2.586, 95%CI: 1.473-4.539). The results of multiple generalized linear analysis showed that medium exposure level increased the degree of anisometropia after adjusting age, gender, and other factors (b=0.054, P<0.05). Conclusion Solar greenhouse working may be a risk factor for increasing anisometropia in workers.

Background As a new type of vegetable production method, solar greenhouse has been widely promoted nationwide. The influence of solar greenhouse working on blood lipid cannot be ignored. Objective The aim of the study is to explore the relationship between solar greenhouse working and blood lipid and family clustering. Methods A total of 744 solar greenhouse workers in northwestern China were selected as the greenhouse group, and 231 general open field farmers in the same area were selected as the non-greenhouse group. The levels of serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), and low-density lipoprotein cholesterol (LDLC) in the two groups were detected. Dyslipidemia was determined by a two-classification criteria in the national guideline of 2007. Multiple logistic regression model and multilevel multiple linear regression model were used to explore the relationship of blood lipid with solar greenhouse working, and its family clustering. Results The number of dyslipidemia cases in the greenhouse group and non-greenhouse group was 142 (19.1%) and 43 (18.6%), respectively, and the difference was not statistically significant (P>0.05). The results of multiple logistic regression analysis showed that increasing age (OR=1.019, 95% CI: 1.001-1.038) and increased BMI (OR=1.162, 95% CI: 1.106-1.220) were related to elevated risk of dyslipidemia (all Ps<0.05). The results of multilevel multiple linear regression model showed that the changes of TC, HDLC, and TG/HDLC had family clustering (b=0.238, 95%CI: 0.132-0.430; b=0.044, 95%CI: 0.033-0.065; b=1.003, 95%CI: 0.947-1.059) (all Ps<0.05). Conclusion Solar greenhouse working does not significantly increase the incidence of dyslipidemia, but the levels of TC, HDLC, and TG/HDLC levels in the solar greenhouse workers have family clusters.

Background The aging of the labor force has become a global trend, and various occupational activities can affect blood biochemical indexes and increase the risk of metabolic diseases. Elderly workers are the main laborers in the solar greenhouse industry, and their blood biochemical indexes need more attention. Objective The purpose of this study is to explore the alternation of selected blood biochemical indexes and provide clues for conducting management programs of metabolic diseases in the elderly solar greenhouse workers. Methods The research subjects of the greenhouse group and the non-greenhouse group were selected from a vegetable production base in Northwest China. The elderly workers were selected from a recruited subjects pool for an earlier project by means of matching and non-matching respectively. The matching conditions were gender (consistent), age (±2 years old), body mass index (BMI) (±1 kg·m⁻²), education level (±1 level), smoking (consistent), and drinking (consistent). Routine clinical tests were used to detect serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), low-density lipoprotein cholesterol (LDLC), fasting blood glucose (GLU), and albumin (ALB), and single-factor and multi-factor analyse were used to identify different indexes in matching and non-matching samples, respectively. The matching and the non-matching samples included 80 pairs of subjects and 327 subjects, respectively. Results In the matching sample set, the greenhouse group's HDLC [(1.61±0.34) mmol·L⁻¹] was lower than the non-greenhouse group's [(2.09±0.37) mmol·L⁻¹] (P<0.05), the level of TG/HDLC in the greenhouse group was (1.17±0.74), higher than that in the non-greenhouse group (0.78±0.47) (P<0.05), and the level of LDLC/HDLC in the greenhouse group was (1.87±0.36), also higher than that in the non-greenhouse group(P<0.05), while there was no statistical difference of the other indexes between the two groups (all Ps>0.05). In the non-matching sample set, the results of multiple linear regression analysis showed that solar greenhouse working correlated with decreased HDLC, and increased TG/HDLC and LDLC/HDLC among the elderly workers (all Ps<0.05). Conclusion Solar greenhouse working may correlate with variations of selected blood biochemical indexes in elderly workers, and the occupational health surveillance of elderly workers should be strengthened.

The 11α-hydroxylation of 16α, 17-epoxyprogesterone (EP) catalyzed by Rhizopus nigricans is crucial for the steroid industry. However, lower conversion rate of the biohydroxylation restricts its potential industrial application. The 11α-steroid hydroxylase CYP509C12 from R. oryzae were reported to play a crucial role in the 11α-hydroxylation in recombinant fission yeast. In the present study, the CYP509C12 of R. oryzae (RoCYP) was introduced into R. nigricans using the liposome-mediated mycelial transformation. Heterologous expression of RoCYP resulted in increased fungal growth and improved intracellular reactive oxygen species content in R. nigricans. The H₂O₂ levels in RoCYP transformants were approximately 2-folder that of the R. nigricans wild type (RnWT) strain, with the superoxide dismutase activities increased approximately 45% and catalase activities decreased approximately 68%. Furthermore, the 11α-hydroxylation rates of EP in RoCYP transformants (C4, C6 and C9) were 39.7%, 38.3% and 38.7%, which were 12.1%, 8.2% and 9.4% higher than the rate of the RnWT strain, respectively. This paper investigated the effect of heterologous expression of RoCYP in R. nigricans, providing an effective genetic method to construct the engineered strains for steroid industry.

Objective To investigate the effects of insulin on vascular diameter of the peri -infarct region and infarct volume after cerebral infarction in mice. Methods Forty male C57/BL6j mice w ere randomly divided into a control group ( n = 5), a cerebral infarction group ( n = 15), a cerebral insulin resistance group (n = 5), and a cerebral insulin resistance infarction group ( n = 15). A model of cerebral infarction w as induced by the photochemical method. A model of cerebral insulin resistance w as induced by intracerebroventricular injection of streptozocin. Tw o -photon confocal microscope w as used to in vivo evaluate the changes of vascular diameter in the peri-infarct region at 20 min after insulin injection into the cerebelomedulary cistern. After modeling of cerebral infarction, artificial cerebrospinal fluid or insulin (10 ng/ml) w as immediately injected into the cerebelomedulary cistern, and the effect of insulin on cerebral infarct volume w as evaluated at 24 h after infarction. Results Insulin did not have significant effect on various types of cerebral vascular diameters in the normal control group, but it significantly contracted cerebral arteries ( -23.16% ±6.86% and -23.32% ±6.40%, respectively; al P <0.001) and penetrating arteries ( -15.20% ±5.51% and -16.40% ±4.27%, respectively; al P < 0.001) in the cerebral insulin resistance group and the cerebral insulin resistance infarction group, but it did not have any effect on the diameters of the cerebral veins. There w ere no significant differences in the vasoactive effects of insulin betw een the cerebral infarction group and the normal control group, as w el as betw een the cerebral insulin resistance group and the cerebral insulin resistance infarction group. Insulin significantly reduced the volume of cerebral infarction in the cerebral infarction group (9.0 ±1.0 mm3 vs.6.0 ±1.2 mm3; t = 4.294,P =0.002), and it did not have significant effect on the volume of cerebral infarction in the cerebral insulin resistance infarction group ( 12.6 ±2.3 mm3 vs.11.6 ±1.7 mm3; t = 0.782, P = 0.456). Conclusions Insulin can reduce ischemic brain injury in normal mice and can not affect the cerebrovascular diameter of the peri-infarct region. The neuroprotective effect of insulin is not significant in cerebral insulin resistance in mice, and it may be associated w ith the vasoconstrictor effects of insulin in the peri -infarct region.

Humans ; Minocycline ; analogs & derivatives ; therapeutic use ; Stem Cell Transplantation ; adverse effects