Long noncoding RNAs as novel biomarkers for Type 2 diabetes

A maternal low-protein diet impaired glucose metabolism and altered the lncRNA profiles of islets in adult offspring

A maternal low-protein diet during pregnancy can increase children's susceptibility to diabetes mellitus in adulthood. However, whether long noncoding RNAs (lncRNAs) in islets participate in the development of diabetes in adult offspring following maternal protein restriction is not fully understood. Female mice were fed a low-protein (LP) diet or control diet throughout gestation and lactation. The male offspring were then randomly divided into two groups according to maternal diet: offspring from control diet group dams (Ctrl group) and offspring from LP group dams (LP group). We observed the glucose metabolism of adult offspring. A lncRNA microarray was constructed for the islets from the LP group and Ctrl group to explore the differently expressed lncRNAs. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes analyses were subsequently used to predict the functions of the differently expressed lncRNAs. The body weight from birth to 12 weeks of age was significantly lower in the LP offspring. Adult LP offspring exhibited impaired glucose tolerance and decreased insulin secretion, consistent with the reduction in β-cell proliferation. According to the lncRNA microarray, four lncRNAs, three upregulated lncRNAs, and one downregulated lncRNA were differently expressed in LP offspring islets compared with Ctrl offspring. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that these differentially expressed lncRNAs were mostly associated with the hypoxia-inducible factor-1α signaling pathway. Additionally, we validated the expression of these four differentially expressed lncRNAs via quantitative real-time polymerase chain reaction. Our findings demonstrated the expression patterns of lncRNAs in islets from adult offspring of mothers who consumed a maternal low-protein diet.

Long Non-Coding RNA MAFG-AS1 as a Potential Biomarker for Hepatocellular Carcinoma: Linkage with Tumor Features, Markers, Liver Functions, and Survival Profile

Purpose

Long non-coding RNAs musculoaponeurotic fibrosarcoma oncogene family, protein G antisense 1 (lnc-MAFG-AS1) regulates hepatocellular carcinoma (HCC) progression and treatment resistance in multiple ways, while its engagement in HCC clinical management remains obscure. The current study aims to explore the relationship of lnc-MAFG-AS1 with tumor features, liver function indexes, tumor markers, and prognosis in HCC patients.

Methods

One hundred and fifty-two surgical HCC patients who underwent tumor resection were retrospectively analyzed. Their tumor and adjacent tissues were acquired and then proposed to reverse transcription-quantitative polymerase chain reaction to detect lnc-MAFG-AS1 expression.

Results

Lnc-MAFG-AS1 expression was increased in HCC tumor tissue than in adjacent tissue [median (interquartile range): 2.730 (1.685–4.198) vs. 0.990 (0.703–1.468), p < 0.001], with a high area under the curve [0.889, 95% confidence interval (CI): 0.854–0.924] to distinguish them via receiver operating characteristic curve analysis. Tumor lnc-MAFG-AS1 was linked with multifocal nodules (p < 0.001), increased Barcelona Clinic Liver Cancer (BCLC) stage (p = 0.018), and elevated China Liver Cancer (CNLC) stage (p = 0.008), which also correlated with an abnormal alpha-fetoprotein (AFP) level (p = 0.004), However, lnc-MAFG-AS1 was not linked with other disease conditions, tumor properties, liver function indexes, or tumor markers (all ps > 0.05). In addition, patients with a high expression of lnc-MAFG-AS1 exhibited worse overall survival than those with a low expression of lnc-MAFG-AS1 [median (95% CI): 34.0 (24.5–43.5) vs. 48.0 (41.5–54.5) months] (p = 0.011), which was further validated by univariate Cox’s analysis [hazard ratio (HR) = 1.827, p = 0.013] and multivariate Cox’s analysis (HR = 1.697, p = 0.040).

Conclusion

Lnc-MAFG-AS1 relates to multifocal nodules, increased BCLC stage, elevated CNLC stage, and abnormal AFP level and predicts pejorative prognosis in HCC patients.

Knowledge discovery in genetics of diabetes in Iran, a roadmap for future researches

Purpose

The pathogenesis of diabetes is considered polygenic as a result of complex interactions between genetic/epigenetic and environmental factors. This review intended to evaluate the scientometric and knowledge gap of diabetes genetics researches conducted in Iran as a case of developing countries, and drawn up a roadmap for future studies.

Methods

We searched Scopus and PubMed databases from January 2015 until December 2019 using the keywords: (diabetes OR diabetic) AND (Iran). All publications were reviewed by two experts and after choosing relevant articles, they were categorized based on the subject, level of evidence, study design, publication year, and type of genetic studies.

Results

Of 10,540 records, 428 articles were met the inclusion criteria. Generally, the number of researches about diabetes genetics rose since 2015. Case-control/cross-sectional and animal studies were the common types of study design and based on the subject, the most frequent researches were about genetic factors involved in diabetes development (38%). Briefly, the top seven genes that were evaluated for T2DM were TCF7L2, APOAII, FTO, PON1, ADIPOQ, MTHFR, and PPARG respectively, and also, CTL4 for T1DM. miR-21, miR-155, and miR-375 respectively were the most micro-RNAs that were evaluated. Furthermore, there were six studies about lncRNAs.

Discussion and Conclusion

Investigation about the genetic of diabetes is progressed although there are some limitations like non-homogenous data from Iran, heterogeneity of ethnicity, and rationale of studies. Compared to the previous analysis in Iran, still, GWAS and large-scale studies are required to achieve better policies for manage and control of diabetes disease.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-021-00838-8.