Analysis of key genes and their functions in placental tissue of patients with gestational diabetes mellitus

The interdisciplinary approach to investigate bona fide agent(s) in flavonoids or alkaloids in treating HCC

Currently, the treatment of hepatocellular carcinoma (HCC) is yet to be determined, alternatively, flavonoids or alkaloids from nature have been considered as significant mediators against HCC. In the scenario, we pioneered the most significant agent(s) in either flavonoid(s) or alkaloid(s) against HCC with cheminformatics, bioinformatics, computer screening tools and quantum chemistry concept. In prospect, the intent was to provide the theoretical scaffold in the myriad natural organic molecules. The cheminformatics (natural product activity & species source database (NPASS), SwissADME, PubChem, Similarity Ensemble Approach (SEA) and SwissTargetPrediction (STP)), bioinformatics (DisGeNET, OMIM and STRING) were employed to underpin promising therapeutic components. The protein-protein interaction (PPI) network to identify the relationships between each target and a bubble chart to elucidate key signalling pathway(s) was constructed via STRING database. Ultimately, computer screening tools (PyMOL and AutoDockTools 1.5.6) and quantum chemistry (GaussView 6 and Gaussian) concept were adopted to decrypt the key molecule(s), target(s) and key mechanism(s). The most significant target was AKT1 in PPI network, AKT1 - isorhamnetin, MCL1 - ochrindole D and PIM1 - heyneanine hydroxyindolenine were the most stable conformers to antagonize JAK-STAT signalling pathway. This study provides scientific manifestation to facilitate the clinical test despite the enormous complexity of herbal medicine, and the devised platform for further clarifying the bioactive(s) and mechanism(s) against HCC.

Pathophysiological impact of CXC and CX3CL1 chemokines in preeclampsia and gestational diabetes mellitus

Diabetes-related pathophysiological alterations and various female reproductive difficulties were common in pregnant women with gestational diabetes mellitus (GDM), who had 21.1 million live births. Preeclampsia (PE), which increases maternal and fetal morbidity and mortality, affects approximately 3%-5% of pregnancies worldwide. Nevertheless, it is unclear what triggers PE and GDM to develop. Therefore, the development of novel moderator therapy approaches is a crucial advancement. Chemokines regulate physiological defenses and maternal-fetal interaction during healthy and disturbed pregnancies. Chemokines regulate immunity, stem cell trafficking, anti-angiogenesis, and cell attraction. CXC chemokines are usually inflammatory and contribute to numerous reproductive disorders. Fractalkine (CX3CL1) may be membrane-bound or soluble. CX3CL1 aids cell survival during homeostasis and inflammation. Evidence reveals that CXC and CX3CL1 chemokines and their receptors have been the focus of therapeutic discoveries for clinical intervention due to their considerable participation in numerous biological processes. This review aims to give an overview of the functions of CXC and CX3CL1 chemokines and their receptors in the pathophysiology of PE and GDM. Finally, we examined stimulus specificity for CXC and CX3CL1 chemokine expression and synthesis in PE and GDM and preclinical and clinical trials of CXC-based PE and GDM therapies.

Integration of nutrigenomics, melatonin, serotonin and inflammatory cytokines in the pathophysiology of pregnancy-specific urinary incontinence in women with gestational diabetes mellitus

Gestational diabetes mellitus is an important public health problem and has been associated with the development of pregnancy-specific urinary incontinence. The interaction is related to hyperglycemia, and inflammatory and hormonal patterns, which favor functional alterations in different organs and systems. Several genes associated with human diseases have been identified and partially characterized. Most of these genes are known to cause monogenic diseases. However, about 3 % of diseases do not fit the monogenic theory due to the complex interactions between multiple genes and environmental factors, as in chronic metabolic diseases such as diabetes. The nutritional, immunological, and hormonal patterns associated with changes in maternal metabolism may influence and contribute to greater susceptibility to urinary tract disorders. However, early systematic reviews have not yielded consistent findings for these associations. This literature review summarizes important new findings from integrating nutrigenomics, hormones, and cytokines in women with Gestational diabetes mellitus and pregnancy-specific urinary incontinence. Changes in maternal metabolism due to hyperglycemia can generate an inflammatory environment with increased inflammatory cytokines. This environment modulated by inflammation can alter tryptophan uptake through food and thus influence the production of serotonin and melatonin. As these hormones seem to have protective effects against smooth muscle dysfunction and to restore the impaired contractility of the detrusor muscle, it is assumed that these changes may favor the onset of urinary incontinence specific to pregnancy.

Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID-19 Using Bioinformatics Approaches

Several studies have been done to identify comorbidities of COVID-19. In this work, we developed an analytical bioinformatics framework to reveal COVID-19 comorbidities, their genomic associations, and molecular mechanisms accomplishing transcriptomic analyses of the RNA-seq datasets provided by the Gene Expression Omnibus (GEO) database, where normal and infected tissues were evaluated. Using the framework, we identified 27 COVID-19 correlated diseases out of 7,092 collected diseases. Analyzing clinical and epidemiological research, we noticed that our identified 27 diseases are associated with COVID-19, where hypertension, diabetes, obesity, and lung cancer are observed several times in COVID-19 patients. Therefore, we selected the above four diseases and performed assorted analyses to demonstrate the association between COVID-19 and hypertension, diabetes, obesity, and lung cancer as comorbidities. We investigated genomic associations with the cross-comparative analysis and Jaccard's similarity index, identifying shared differentially expressed genes (DEGs) and linking DEGs of COVID-19 and the comorbidities, in which we identified hypertension as the most associated illness. We also revealed molecular mechanisms by identifying statistically significant ten pathways and ten ontologies. Moreover, to understand cellular physiology, we did protein-protein interaction (PPI) analyses among the comorbidities and COVID-19. We also used the degree centrality method and identified ten biomarker hub proteins (IL1B, CXCL8, FN1, MMP9, CXCL10, IL1A, IRF7, VWF, CXCL9, and ISG15) that associate COVID-19 with the comorbidities. Finally, we validated our findings by searching the published literature. Thus, our analytical approach elicited interconnections between COVID-19 and the aforementioned comorbidities in terms of remarkable DEGs, pathways, ontologies, PPI, and biomarker hub proteins.

Plasma cytokines during pregnancy provide insight into the risk of diabetes in the gestational diabetes risk group

Aims/Introduction

Gestational diabetes (GDM) is characterized by low‐grade systemic inflammation, which manifests as changes in the levels of cytokines in the blood. We aimed to investigate plasma immune mediators during gestational weeks 23–28 in 213 women at risk for GDM, and to find associations between GDM and its complications.

Materials and Methods

We quantified the levels of adipokines: adiponectin, leptin, plasminogen activator inhibitor‐1 and resistin; chemokines: C‐C motif chemokine ligand 2 (CCL2), CCL4, C‐X‐C motif chemokine ligand 8 (CXCL8) and CXCL10; and cytokines: granulocyte‐macrophage colony‐stimulating factor, interferon‐γ, interleukin (IL)‐1β, soluble (s)IL‐1RI, IL‐2, sIL‐2Ra, IL‐4, IL‐5, IL‐6, IL‐7, IL‐10, IL‐12(p70), IL‐13, IL‐15, IL‐17A, IL‐17F, IL‐21, IL‐22, IL‐23, IL‐27, transforming growth factor (TGF)‐β1, TGF‐β2, TGF‐β3, tumor necrosis factor‐α and soluble tumor necrosis factor receptor 2 using the Milliplex®MAP Magnetic Bead assay on Luminex®200™, and compared the results with clinical data from pregnancy and post‐partum follow up.

Results

Lower levels of adiponectin and higher levels of CCL2 (Wilcoxon test, P = 3.4E‐03 and P = 0.03, respectively) were found in women with GDM. IL‐27 levels were associated with lower odds of GDM (adjusted logistic regression 0.90, P = 2.4E‐03), and showed a risk association with glutamic acid decarboxylase autoantibody positivity (adjusted odds ratio 1.13, P = 2.8E‐03). Similarly, higher IL‐22 levels increased the odds of glutamic acid decarboxylase autoantibody positivity (adjusted odds ratio 4.23, P = 0.04). TGF‐β1 was associated with post‐partum fasting glucose levels, and CCL4 with post‐partum C‐peptide levels (linear regression, P = 0.04 and P = 0.01, respectively). Women who developed pregnancy complications had higher levels of CXCL10 and CCL4 (linear regression, P = 7.0E‐04 and P = 0.01, respectively).

Conclusions

Plasma adiponectin and CCL2 concentrations distinguish women with GDM. IL‐27 and IL‐22 levels might select women with an autoimmune reaction, whereas increased TGF‐β1 and CCL4 are associated with post‐partum glucose and insulin metabolism.

Genomics and Epigenomics of Gestational Diabetes Mellitus: Understanding the Molecular Pathways of the Disease Pathogenesis

One of the most common complications during pregnancy is gestational diabetes mellitus (GDM), hyperglycemia that occurs for the first time during pregnancy. The condition is multifactorial, caused by an interaction between genetic, epigenetic, and environmental factors. However, the underlying mechanisms responsible for its pathogenesis remain elusive. Moreover, in contrast to several common metabolic disorders, molecular research in GDM is lagging. It is important to recognize that GDM is still commonly diagnosed during the second trimester of pregnancy using the oral glucose tolerance test (OGGT), at a time when both a fetal and maternal pathophysiology is already present, demonstrating the increased blood glucose levels associated with exacerbated insulin resistance. Therefore, early detection of metabolic changes and associated epigenetic and genetic factors that can lead to an improved prediction of adverse pregnancy outcomes and future cardio-metabolic pathologies in GDM women and their children is imperative. Several genomic and epigenetic approaches have been used to identify the genes, genetic variants, metabolic pathways, and epigenetic modifications involved in GDM to determine its etiology. In this article, we explore these factors as well as how their functional effects may contribute to immediate and future pathologies in women with GDM and their offspring from birth to adulthood. We also discuss how these approaches contribute to the changes in different molecular pathways that contribute to the GDM pathogenesis, with a special focus on the development of insulin resistance.

Gestational diabetes mellitus, autistic traits and ADHD symptoms in toddlers: Placental inflammatory and oxidative stress cytokines do not play an intermediary role

OBJECTIVE

To evaluate whether gestational diabetes mellitus (GDM) is associated with increased risks of autistic traits and attention deficit/hyperactivity disorder (ADHD) among offspring and whether placental inflammatory and oxidative stress cytokines play an intermediary role.

METHODS

Based on a prospective cohort study from China, namely, the Ma'anshan Birth Cohort study (MABC), 3260 mother-child pairs were included. Autistic traits and ADHD symptoms among children were assessed at 18 months and 36 months, respectively. The mRNA expression levels of fourteen placental cytokines were determined using PCR. Logistic regression analysis was used to examine the associations between GDM and the risks of autistic traits or ADHD symptoms. Mediation analysis was used to assess the potential mediation effects of certain placental inflammatory factors.

RESULTS

Of the 3260 children, 419 (12.85%) were exposed to GDM. The prevalence rates of autistic traits and ADHD symptoms were 13.86% and 6.4%, respectively. A 48.6% increased risk of autistic traits was observed among offspring born to mothers with GDM [odds ratio (OR) = 1.49, 95% confidence interval (95%CI): 1.11-2.00)], while no significant association was found in terms of ADHD symptoms. There were significant positive associations between GDM and IL-10 expression and between HIF1-α and CRP mRNA expression and a significant negative association between GDM and CD206 mRNA expression. The expression of MCP-1 mRNA was negatively associated with the risk of autistic traits [adjusted OR = 0.73 (95%CI: 0.73-0.55)]. The levels of TNF-α were positively associated with the risk of ADHD symptoms [OR = 2.11 (95%CI: 1.39-3.21)], while GRP78 was inversely associated with it [OR = 0.64 (95%CI: 0.44-0.94)]. However, none of the 14 placental cytokines was involved as a key mediator.

CONCLUSION

Our findings suggest that GDM may act as a risk factor for autistic traits in offspring, while the biological mechanisms may not involve the 14 placental cytokines studied. No significant association between GDM and ADHD symptoms was observed.

Extracellular vesicles and their role in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a complex disorder that is defined by glucose intolerance with onset during pregnancy. The incidence of GDM is increasing worldwide. Pregnancies complicated with GDM have higher rates of maternal and fetal morbidity with short- and long-term consequences, including increased rates of cardiovascular disease and type II diabetes for both the mother and offspring. The pathophysiology of GDM still remains unclear and there has been interest in the role of small extracellular vesicles (sEVs) in the maternal metabolic adaptations that occur in pregnancy and GDM. Small EVs are nanosized particles that contain bioactive content, including miRNAs and proteins, which are released by cells to provide cell-to-cell communication. Pregnancy induces an increase in total and placental-secreted sEVs across gestation, with a further increase in sEV number and changes in the protein and miRNA composition of these sEVs in GDM. Research has suggested that these sEVs have an impact on maternal adaptations during pregnancy, including targeting the pancreas, skeletal muscle and adipose tissue. Consequently, this review will focus on the differences in total and placental sEVs in GDM compared to normal pregnancy, the role of sEVs in the pathophysiology of GDM and their clinical application as potential GDM biomarkers.

Identification of potential lncRNAs and co-expressed mRNAs in gestational diabetes mellitus by RNA sequencing

AIM

Gestational diabetes mellitus is common during pregnancy, impacting maternal health and fetal development. The aim of this study was to identify potential long non-coding RNAs (lncRNAs) and mRNAs in gestational diabetes mellitus.

METHODS

The placenta tissues from four women patients with gestational diabetes mellitus and three healthy pregnant women were used for RNA sequencing. Differentially expressed lncRNAs and mRNAs were obtained. Then, interaction networks of lncRNA-nearby targeted mRNA and lncRNA-co-expressed mRNA were constructed, followed by functional annotation of co-expressed mRNAs. Third, GSE51546 dataset was utilized to validate the expression of selected co-expressed mRNAs. In addition, in vitro experiment was applied to expression validation of lncRNAs and mRNAs. Finally, GSE70493 dataset was utilized for diagnostic analysis of selected co-expressed mRNAs.

RESULTS

A total of 78 differentially expressed lncRNAs and 647 differentially expressed mRNAs in gestational diabetes mellitus were obtained. Several interaction pairs of lncRNA-co-expressed mRNA including LINC01504-CASP8, FUT8-AS1-TLR5/GDF15, GATA2-AS1-PQLC3/KIAA2026, and EGFR-AS1-HLA-G were identified. Endocytosis (involved HLA-G) and toll-like receptor signaling pathway (involved TLR5 and CASP8) were remarkably enriched signaling pathways of co-expressed mRNAs. It is noted that CASP8, TLR5, and PQLC3 had a significant prognosis value for gestational diabetes mellitus.

CONCLUSIONS

Our study identified several differentially expressed lncRNAs and mRNAs, and their interactions, especially co-expression, may be associated with gestational diabetes mellitus.

Circulating expression of Hsa_circRNA_102893 contributes to early gestational diabetes mellitus detection

Due to a poor availability of reliable biomarkers, detecting gestational diabetes mellitus (GDM) in early pregnancy remains a challenge. Novel biomarkers like Circular RNAs (circRNAs) may be a promising diagnostic tool. The aim of this study was (a) to identify circRNAs deregulated in GDM and (b) evaluate the potential of circRNAs in detecting GDM. The circRNAs expression profiling in 6 paired women (with and without GDM) was measured by microarray. The levels of five most relevant circRNAs were validated in 12 paired participants by qRT-PCR. To verify the reproducibility of qRT-PCR, significantly differential expressed circRNA levels were confirmed in 18 paired participants. A receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value. The areas under ROC curves of hsa_circRNA_102893 were 0.806 (95% CI 0.594–0.937) and 0.741 (0.568–0.872) in training set and test set, respectively. Circulating circRNAs reflect the presence of GDM. Hsa_circRNA_102893 may be a potential novel and stable noninvasive biomarker for detecting GDM in early pregnancy.