Search Results

You are looking at 1 - 3 of 3 items for

  • Author: Li Dongmei x
  • All content x
Clear All Modify Search
Open access

Li Yuanyuan, Li Dongmei, and Cheng Xingbo

Objective: Gestational diabetes mellitus (GDM) is common worldwide and seriously threatens maternal and infant health. The expression of non-coding RNA is tissue-specific and highly stable in eukaryotic cells and the circulatory system, which can act as an early molecular marker of GDM.

Methods: The differential expression of lncRNA and mRNA in the peripheral blood of patients with GDM (experimental group) and healthy pregnant women (control group) was analysed via lncRNA gene chip. Employing biological function clustering and KEGG signal pathway analysis, we selected the mRNAs and lncRNAs closely related to the insulin signal pathway of GDM to analys the possible regulatory mechanism in the pathogenesis of GDM. The sequencing results were further verified via quantitative polymerase chain reaction (Q-PCR).

Results: lncRNA microarray analysis revealed 7498 genes (3592 upregulated, 3906 downregulated) differentially expressed in the GDM group and healthy pregnant women control group, including 1098 differentially expressed lncRNAs (609 upregulated, 489 downregulated). According to the regulatory pathway of lncRNA mRNA network,six lncRNAs and four mRNAs were found to play a significant role in insulin resistance.

Conclusions: The lncRNAs ERMP1,TSPAN32 and MRPL38 form a co-expression network with TPH1, which is mainly involved in the tryptophan metabolism pathway and in the development of GDM, Moreover, lncRNA RPL13P5 forms a co-expression network with the TSC2 gene via the pi3k-akt and insulin signalling pathways, which are involved in the process of insulin resistance in GDM.

Open access

Guang-Ran Yang, Dongmei Li, and Zidian Xie

Objective

There is a lack of consensus on whether a high BMI increases the risk of diabetic retinopathy (DR). We aimed to investigate the association between BMI, overweight, obesity, and DR using the data of diabetes respondents in the 2015 US Behavioral Risk Factor Surveillance System survey.

Methods

Diabetes respondents aged over 18-year-old with complete information as well as undergone fundus examination in the past 2 years or had been diagnosed with DR were included. Weighted logistic regression analyses were used to identify the association of BMI with DR.

Results

Among the 21,647 diabetes respondents, 4588 respondents had DR with a weighted prevalence of 22.5%. The mean BMI of all diabetes respondents was 31.50 ± 6.95 kg/m2 with 18,498 (86.5%) overweight and 11,353 (54.6%) obese. The mean BMI of the DR group (31.83 ± 7.41 kg/m2) was significantly higher than that of the non-DR group (31.41 ± 6.81 kg/m2, P < 0.05). The proportion of obese respondents in the DR group was higher than the non-DR group (54.3%, P < 0.001). The weighted prevalence of DR was 0.8, 13.8, 29.7, and 55.7% for the emaciation group, the normal weight group, the overweight group, and the obesity group, respectively (P < 0.001). Weighted logistic regression analysis showed that both BMI (adjusted OR = 1.004, 95% CI 1.003–1.004) and obesity (adjusted OR = 1.051, 95% CI 1.048–1.055) were associated with DR after adjusting for the confounding variables. However, overweight was not significantly associated with DR.

Conclusion

The prevalence of DR in the normal weight, overweight, and obesity groups increased gradually. Obesity, rather than overweight, was significantly associated with increased DR prevalence.

Open access

Lu Liu, Chunyan Li, Peng Yang, Jian Zhu, Dongmei Gan, Le Bu, Manna Zhang, Chunjun Sheng, Hong Li, and Shen Qu

Alendronate (ALN) is a commonly used drug for the treatment of osteoporosis. Atypical femur fractures (AFFs) have been associated with long-term use of ALN and have recently become the subject of considerable attention as ALN use increases. This meta-analysis aimed to determine the relationship between ALN and AFF. The Embase, PubMed, and Cochrane library databases were searched for relevant studies published before November 6, 2014. Studies clearly reporting the relationship between ALN and AFF were selected for our analysis. From these results, the relationship between ALN and AFF was analyzed. Weighted mean differences were calculated using a random-effects model. Five studies were included in this meta-analysis. The results revealed that the use of ALN will not increase the risk of AFF in short term (P>0.05), but there will be a risk of AFF (P<0.05) with long-term (>5 years) use of ALN. These findings indicate that long-term use of ALN is a risk factor for AFF and that more attention should be paid to the clinical applications of ALN.