American Diabetes Association "Standards of Medical Care-2020 for Gestational Diabetes Mellitus": A Critical Appraisal

The association between duration of metformin and sulfonylurea treatment and microvascular complications in patients with incident type 2 diabetes: a pooled cohort analysis

Objectives

The effect of the duration of medication with metformin and sulfonylurea (SUs) on microvascular complications based on the duration of type 2 diabetes (DM2) is unclear. The aim of this study was to investigate the association of medication time with metformin and SUs and microvascular complications in newly diagnosed DM2 patients.

Methods

In this prospective multi-cohort study, data from 3,904 newly diagnosed DM from three cohorts of the Tehran Lipid and Glucose Study (TLGS), the Multi-Ethnic Study of Atherosclerosis (MESA), and the Atherosclerosis Risk in Communities (ARIC) with a mean age of 59.6 ± 08 years were pooled. Metformin medication time alone, SUs alone, and a combination of both since drug initiation were defined as exposure. The incidence of microvascular complications (diabetic nephropathy or retinopathy) was defined as outcomes. The cumulative exposure to metformin, SUs, aspirin, statin, and anti-hypertensive medication was also determined using the same approach.

Results

Metformin alone, SUs alone, and the combination of both reduced the hazard of microvascular complications by 8%(HRAdj: 0.92, 95% CI: 0.89, 0.96, P: 0.001), 6%(HRAdj: 0.94, 95% CI: 0.92, 0.97, P: 0.004), and 9%(HRAdj: 0.91, 95% CI: 0.89, 0.94, P: 0.001) for each year of use, respectively (p < 0.05). The protective effect of metformin and SUs, individually or in combination, on microvascular complications started approximately five years after the initial treatment and continued until approximately 15 years after the initial treatment and then reached a plato.

Conclusion

long-term use of metformin and SUs individually and in combination was associated with a decrease in the risk of microvascular outcomes in newly diagnosed DM for up to about one decade. These findings highlight the importance of choosing an appropriate treatment regimen for new patients with type 2 diabetes. Appropriate oral therapy can minimize microvascular complications and improve overall well-being.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-025-01577-w.

Importance of assessing erectile dysfunction in patients with type 2 diabetes mellitus based on glucose fluctuation: a Cross-Sectional study

PURPOSE

To investigate the relationship between glucose fluctuation and erectile dysfunction (ED) in patients with type 2 diabetes mellitus (T2DM).

METHODS

This cross-sectional study included 317 male patients with T2DM. Participants were categorized into non-ED group (76 cases) and ED group (241 cases) based on International Index of Erectile Function-5 (IIEF-5) scores. Patients were additionally segmented into quartiles based on time in range (TIR). Demographic and laboratory data were collected, and glucose fluctuation indicators were ascertained using flash glucose monitoring.

RESULTS

The ED group exhibited significantly lower TIR and IIEF-5 scores compared to the non-ED group (P < 0.05). An increase in TIR levels corresponded with higher IIEF-5 scores and a significant reduction in ED incidence (P < 0.05). Spearman's correlation analysis indicated a positive correlation between IIEF-5 scores and TIR (r = 0.48, P < 0.01). Restricted cubic spline analysis revealed a negative linear association between TIR and ED (P for linearity <0.05). Multivariate logistic regression analysis, after adjusting for confounding factors, confirmed that low TIR is an independent risk factor for ED (P < 0.05).

CONCLUSION

Glucose fluctuation in T2DM patients correlate with ED, with low TIR being independently and positively associated with ED incidence, suggesting it may be a significant risk factor for ED in patients with T2DM.

Immobilization of CdTe QDs on Glucose-Imprinted Alg-g-P(AA-co-VPBA) Nanocomposite for Optical Sensing of Glucose

Developing a highly sensitive, selective, and biocompatible nanobiosensor for glucose monitoring remains a significant challenge in biomedical diagnostics. In this research, the design and synthesis of a highly sensitive and selective nanobiosensor for glucose detection were reported, utilizing cadmium telluride quantum dots (CdTe QDs) immobilized on a glucose-imprinted sodium alginate-graft-poly(acrylic acid-copolymer-vinylphenylboronic acid) nanocomposite. The preparation method is notable for its safety, cost-effectiveness, and use of biocompatible materials. The nanobiosensor was synthesized by modifying CdTe QDs with a biopolymer chain comprising acrylic acid, sodium alginate, and vinylphenylboronic acid (VPBA), resulting in a glucose-sensitive and selective sensor with an average hydrodynamic diameter of 32 nm. Glucose detection was achieved through fluorescence quenching of CdTe QDs upon binding glucose molecules to VPBA moieties via cis-diol interactions, facilitating glucose sensing. A linear correlation was established between fluorescence intensity and glucose concentration, with a detection limit of 0.164 μg/mL. The sensor exhibited high specificity for glucose over potential interfering species, including various amino acids, fructose, lactic acid, and metal ions, even at concentrations 100 times higher than glucose. In practical applications, the sensor demonstrated high recovery rates ranging from 98.72 to 101.36% in human serum and urine samples, indicating its efficacy and specificity in complex biological matrices. The nanobiosensor also showed excellent repeatability and reproducibility with a relative standard deviation (RSD) of 1.25 and 1.38% for five replicates, respectively, and stability over 28 days with consistent fluorescence response. These results suggest that the glucose-imprinted Alg-g-P(AA-co-VPBA)/CdTe QDs nanobiosensor is a promising candidate for sensitive, selective, and glucose-monitoring applications.

Integrative Analyses of Biomarkers and Pathways in Oxidative Stress-Related Genes for Gestational Diabetes Mellitus

PROBLEM

Oxidative stress (OS) plays a key role in the pathogenesis of gestational diabetes mellitus (GDM), but it was not well understood. We aimed to investigate the biomarkers and underlying mechanisms of OS-related genes in GDM.

METHOD OF STUDY

The GSE103552 and GSE70493 datasets of GDM were acquired from the Gene Expression Omnibus (GEO) database. Then, oxidative stress-related differentially expressed genes (OSDEGs) were screened between GDM and normal samples from these two datasets. Further analyses were conducted by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene set enrichment analysis (GSEA) for these OSDEGs. Subsequently, protein-protein interaction (PPI) network analyses of these OSDEGs were carried out to screen the hub genes. Eventually, we used single-sample Gene-set enrichment analysis (ssGSEA) to compare the immune cell infiltration between GDM and normal samples.

RESULTS

We identified 26 OSDEGs. Enrichment analysis suggested that the OSDEGs enriched in OS and diabetes-related pathways. GSEA revealed that these OSDEGs enriched in sensory perception of taste and negative regulation of notch4 signaling pathways. Moreover, PPI analysis showed that 15 OSDEGs were the hub gene in GDM. A total of 14 hub genes were highly expressed in GDM and might be used as diagnosis biomarkers. Moreover, many potential agents might target 10 hub genes for GDM treatment. In addition, immune infiltrate analyses revealed that expression of 14 hub genes was positively correlated to immune infiltrates in GDM.

CONCLUSION

OSDEGs are significant in GDM and may provide potential diagnostic biomarkers and treatment targets for GDM.

Association between gestational diabetes mellitus diagnostic criteria and adverse pregnancy outcomes-a systematic review and meta-analysis of adjusted effect sizes from studies using current diagnostic criteria

OBJECTIVES

To quantify the association between Gestational Diabetes Mellitus (GDM) and adverse pregnancy outcomes and primarily compare the associations between diagnostic criteria following the International Association of Diabetes and Pregnancy Study Groups (IADPSG) recommendations and non-IADPSG criteria, which use higher blood glucose cut-offs.

DESIGN

Systematic review and meta-analysis of observational studies using contemporary GDM diagnostic criteria.

DATA SOURCES

PubMed, Scopus, Google Scholar, Cochrane Database of Systematic Reviews and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched for articles published between 2010 and 2023. The search was carried out on 15 May 2023.

ELIGIBILITY CRITERIA

Studies were included if they were observational studies that reported adjusted effect sizes for GDM-related adverse outcomes and compared outcomes between women with and without GDM, used contemporary diagnostic criteria and were conducted after 2010.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data and assessed study quality using the MethodologicAl STandards for Epidemiological Research (MASTER) scale. Bias-adjusted inverse variance heterogeneity meta-analysis models were used to synthesise adjusted effect sizes. The same meta-analytic models were used to synthesise the overall OR and their 95% CIs for comparisons of the criteria which followed the IADPSG recommendations to other criteria, mostly with higher blood glucose cut-offs (non-IADPSG).

RESULTS

We included 30 studies involving 642 355 participants. GDM was associated with higher odds of maternal outcomes, namely; caesarean section (adjusted OR (aOR) 1.24, 95% CI 1.01 to 1.51) and pregnancy-induced hypertension (aOR 1.55, 95% CI 1.03 to 2.34). GDM was associated with higher odds of neonatal outcomes, specifically; macrosomia (aOR 1.38, 95% CI 1.13 to 1.69), large for gestational age (aOR 1.42, 95% CI 1.23 to 1.63), preterm birth (aOR 1.41, 95% CI 1.21 to 1.64), neonatal intensive care unit admission (aOR 1.42, 95% CI 1.12 to 1.78), neonatal hypoglycaemia (aOR 3.08, 95% CI 1.80 to 5.26) and jaundice (aOR 1.47, 95% CI 1.12 to 1.91). Further analyses showed no major differences in adverse pregnancy outcomes between IADPSG and non-IADPSG criteria.

CONCLUSIONS

GDM is consistently associated with adverse pregnancy, maternal and foetal outcomes, regardless of the diagnostic criteria used. These findings suggest no significant difference in risk between lower and higher blood glucose cut-offs used in GDM diagnosis.

Self-Care Activities Among Diabetic Patients in an Urban Health Centre in Thirumazhisai, Tamil Nadu: A Cross-Sectional Study

Background Diabetes is a long-term medical condition characterized by consistently high blood glucose levels, which can be attributed to both genetic and environmental factors. Global diabetes prevalence is predicted to reach 10.4% by 2040, impacting over 642 million people. Diabetes is becoming more common in India; by 2030, an estimated 87 million individuals are predicted to have the disease. Self-care activities are essential for managing diabetes, yet adherence to these practices is often low in developing countries like India due to socioeconomic, cultural, and healthcare barriers. Objective In this study, the self-care practices of diabetic patients who visited an Urban Health Center in Thirumazhisai, Tamil Nadu, were assessed, along with the factors influencing these practices. Methods A three-month cross-sectional study was conducted in a facility with 200 type 2 diabetic patients who had been unwell, for a minimum of a year. The participants were selected via purposeful sampling, and interviews were conducted using the most recent version of the Summary Diabetes Self-Care Activities (SDSCA) questionnaire. The data was analyzed using SPSS version 26 (IBM Corp., Armonk, NY, USA) to discover connections between the duration of diabetes and self-care practices using descriptive statistics and chi-square tests. Results The study found that 136 (68%) of participants tested their blood sugar levels at least once in the preceding three months, 104 (52%) exercised for at least 30 minutes each day, and 96 (48%) of individuals maintained a balanced diet. On the other hand, adherence to insulin injections and oral hypoglycemic medications was lower, at 98 (49%) and 79 (39.5%), respectively. Foot hygiene was also not at its best; only 85 (42.5%) people washed their feet daily. Considerable correlations have been shown between the length of diabetes and particular self-care behaviors, including eating patterns, exercise routines, and foot hygiene. Conclusion The results emphasize the necessity of focused interventions, especially in developing nations, to enhance diabetic patients' self-care behaviors. Tailored, patient-centered strategies are essential to address the complex factors influencing diabetes management, ultimately improving glycemic control and patient outcomes.

Current approaches in CRISPR-Cas systems for diabetes

In the face of advancements in health care and a shift towards healthy lifestyle, diabetes mellitus (DM) still presents as a global health challenge. This chapter explores recent advancements in the areas of genetic and molecular underpinnings of DM, addressing the revolutionary potential of CRISPR-based genome editing technologies. We delve into the multifaceted relationship between genes and molecular pathways contributing to both type1 and type 2 diabetes. We highlight the importance of how improved genetic screening and the identification of susceptibility genes are aiding in early diagnosis and risk stratification. The spotlight then shifts to CRISPR-Cas9, a robust genome editing tool capable of various applications including correcting mutations in type 1 diabetes, enhancing insulin production in T2D, modulating genes associated with metabolism of glucose and insulin sensitivity. Delivery methods for CRISPR to targeted tissues and cells are explored, including viral and non-viral vectors, alongside the exciting possibilities offered by nanocarriers. We conclude by discussing the challenges and ethical considerations surrounding CRISPR-based therapies for DM. These include potential off-target effects, ensuring long-term efficacy and safety, and navigating the ethical implications of human genome modification. This chapter offers a comprehensive perspective on how genetic and molecular insights, coupled with the transformative power of CRISPR, are paving the way for potential cures and novel therapeutic approaches for DM.

Impact of Group Reality Therapy on Treatment Adherence and Health Indicators in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial

Background: The use of non-pharmacological therapies is important in reducing the complications and consequences of diabetes. Objectives: This study aimed to determine the effect of group reality therapy on adherence to treatment regimens and health indicators in patients with type 2 diabetes. Methods: This randomized controlled trial was performed on 60 patients with diabetes who were referred to Amir Al-Momenin Hospital in Ahvaz. Patients were randomly assigned to either the intervention group (N = 30) or the control group (N = 30). Both groups completed health indicator tests, questionnaires on demographic and clinical information, perceived adherence to the treatment regimen, and the Perceived Stress Scale. The intervention group received reality therapy training, which consisted of 10 sessions of 45 minutes each (one session per week) over 2 months, delivered through lectures and face-to-face training sessions. The control group received only routine hospital interventions. The collected data were then analyzed using a one-way t-test and one-way analysis of variance (ANOVA). Results: Twenty-seven patients in the intervention group and 27 in the control group completed the study. After analyzing the data, it was revealed that the mean age of the patients in the control group was 55.30 ± 7.95, while it was 51.96 ± 10.55 in the intervention group. Findings showed that scores for the dimensions of adherence to the treatment regimen in the intervention group significantly increased compared to the control group (P < 0.001). Additionally, the mean health indicators in the intervention group showed a significant decrease compared to the control group (P < 0.001). Moreover, the mean blood sugar level of patients in the intervention group decreased from 229.63 ± 98.76 to 123.59 ± 42.03. Likewise, the level of glycosylated hemoglobin and blood cholesterol significantly decreased from 8.19 ± 2.09 to 6.11 ± 1.86 and from 176.52 ± 51.53 to 146.22 ± 34.68, respectively. Conclusions: A reality therapy training program can be effectively used to increase treatment adherence and improve health indicators in patients with type 2 diabetes.

Motivational factors for dietary intake behavior in gestational diabetes mellitus: A cross-sectional study

Context

Decision-making behavior pertains to the cognitive process where a patient evaluates the advantages and disadvantages of health-related decisions, taking into account their personal preferences, values, and cognitive factors. This behavior is central to the successful implementation of clinical care. Effective decision-making enhances an individual's or organization's response to challenges and opportunities, improves problem-solving capabilities, reduces risks and uncertainties, and facilitates the attainment of desired outcomes.

Objective

The goal of this study was to investigate the current status of dietary choice decision-making in gestational diabetes mellitus and to analyze its influencing factors, and then to find the determining factors and give targeted nursing interventions in order to improve the dietary decision-making ability of gestational diabetes mellitus patients and further standardize their dietary patterns.

Methods

A cross-sectional research design was employed in this study. Convenience sampling was utilized to survey 539 GDM patients attending the obstetrics outpatient clinic and obstetrics ward of a tertiary hospital in Wuxi City, China, from March 2023 to July 2023. The survey instruments used were the General Information Questionnaire, the Motivation to Protect Pregnant Women with Gestational Diabetes Mellitus Dietary Intake Questionnaire, and the Conflict in Decision-Making Scale.

Results

The findings were derived from data collected from 539 GDM cases. The participants' ages ranged from 19 to 52 years, with a mean age of 31.53 ± 4.37 years. The scores for GDM disease perceived susceptibility were 15.200 ± 3.481, disease perceived severity 18.455 ± 4.670, internal reward 13.226 ± 4.275, external reward 8.278 ± 2.923, response efficacy 15.078 ± 3.889, self-efficacy 18.952 ± 4.800, cost of response 14.540 ± 5.227, and decision conflict questionnaire score 70.96 ± 11.78.

Conclusions

The study revealed that GDM patients exhibited a moderate level of decision-making dilemma. Notably, the patients' perceived susceptibility and severity of the disease, along with their response efficacy and self-efficacy, positively influenced their dietary decision-making abilities. Specifically, enhancing patients' awareness of their condition and boosting their self-efficacy significantly improved their decision-making capabilities. Conversely, internal and external rewards, as well as the cost of response, exerted a negative impact on GDM patients' decision-making abilities. Therefore, it is imperative to mitigate potential barriers in GDM patients' dietary intake behaviors, thereby enhancing their decision-making skills related to dietary intake.

How pre-analytical conditions impact glucose measurement and (gestational) diabetes diagnosis: A real-world stability study and a call for harmonization

BACKGROUND AND AIMS

Since 2023, guidelines of the AACC/ADA recommend the use of citrate buffer-containing tubes as a first option for glucose measurement. This study aims to assess the pre-analytical stability of glucose under various conditions (room temperature (RT) or at 4 °C) and the potential real-world impact of introducing these tubes on (gestational) diabetes and IFG prevalence.

MATERIALS AND METHODS

25 healthy volunteers were sampled to assess glucose stability across time, at 4 °C and at RT, before and following centrifugation. 701 patients undergoing fasting plasma glucose analysis and 109 women having OGTT were collected according to current procedures (NaFl K2C2O4 (NaFl) tubes) as well as with citrate-containing tubes (FC Mix).

RESULTS

The mean glucose concentration bias between FC Mix and NaFl tubes when centrifugation occurred within 5 min was 0.53 % and this difference raised slowly to reach 2.3 %, six-hours post-centrifugation. When centrifugation was delayed, a rapid decrease in glucose concentrations was observed for NaFl tubes (4.9 % at 30 min) and this trend was only partially reduced by placing samples at 4 °C (3.1 %). The decrease reached 10.8 % (RT) and 7.8 % (4 °C) at 2 h, before reaching a plateau. Samples collected on citrate remained stable during 24 h. In real-life conditions, the mean bias between FC Mix and NaFl tubes increased progressively over time and reached 8.59 % for samples centrifuged between two- and four-hours following sampling. Compared to widespread practices, the use of citrate-containing tubes increased IFG, DM and GDM prevalences by 84.0 %, 36.7 % and 150 %, respectively.

CONCLUSIONS

Glucose concentrations rapidly decrease in NaFl tubes following collection and placing samples at 4 °C reduces only marginally the decay. Citrate-containing tubes offer a valuable solution for direct and long-lasting glucose stabilization but, before wider adoption, large epidemiologic studies should confirm or redefine current diabetes diagnostic thresholds.

Adverse pregnancy outcomes in gestational diabetes mellitus: a systematic review and meta-analysis protocol

INTRODUCTION

Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes, including adverse outcomes for both the mother and the fetus. Different diagnostic criteria are used for GDM, and it is not clear how these affect the reported prevalence of adverse pregnancy outcomes. This protocol is for a systematic review to describe and compare the prevalence of adverse pregnancy outcomes in GDM using the different diagnostic criteria applied in various countries/regions of the world.

METHODS AND ANALYSIS

A systematic review and meta-analysis will be carried out. A comprehensive search of observational studies that report the outcomes of interest to this review from 2010 to 2021 will be conducted. We will search the major electronic databases such as PubMed, Scopus, CINHAL and Google Scholar, and screen references of included studies for additional studies. Meta-analyses will be performed, if there is low heterogeneity, and pooled estimates per outcome reported. We will use the bias-adjusted inverse variance heterogeneity model and random effects models, depending on the heterogeneity observed, to pool prevalence estimates and perform subgroup analyses by region, by age group, by diagnostic criteria and by GDM screening method if sufficient data are available. We will also compare the prevalence of adverse outcomes by diagnostic method and report prevalence ratios. We will report 95% confidence estimates for all estimates.

ETHICS AND DISSEMINATION

Ethical approval is not required as the review uses published data. Findings will be published in peer-reviewed journals and presented at conferences.

PROSPERO REGISTRATION NUMBER

CRD42020155061.

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review

In industry 4.0, where the automation and digitalization of entities and processes are fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering innovative solutions in various domains. In this context, nutrition, a critical aspect of public health, is no exception to the fields influenced by the integration of AI technology. This study aims to comprehensively investigate the current landscape of AI in nutrition, providing a deep understanding of the potential of AI, machine learning (ML), and deep learning (DL) in nutrition sciences and highlighting eventual challenges and futuristic directions. A hybrid approach from the systematic literature review (SLR) guidelines and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines was adopted to systematically analyze the scientific literature from a search of major databases on artificial intelligence in nutrition sciences. A rigorous study selection was conducted using the most appropriate eligibility criteria, followed by a methodological quality assessment ensuring the robustness of the included studies. This review identifies several AI applications in nutrition, spanning smart and personalized nutrition, dietary assessment, food recognition and tracking, predictive modeling for disease prevention, and disease diagnosis and monitoring. The selected studies demonstrated the versatility of machine learning and deep learning techniques in handling complex relationships within nutritional datasets. This study provides a comprehensive overview of the current state of AI applications in nutrition sciences and identifies challenges and opportunities. With the rapid advancement in AI, its integration into nutrition holds significant promise to enhance individual nutritional outcomes and optimize dietary recommendations. Researchers, policymakers, and healthcare professionals can utilize this research to design future projects and support evidence-based decision-making in AI for nutrition and dietary guidance.

Effectiveness of remote monitoring for glycemic control on maternal-fetal outcomes in women with gestational diabetes mellitus: A meta-analysis

BACKGROUND

The current pandemic and future public health emergencies highlight the importance of evaluating a telehealth care model. Previous studies have reached mixed conclusions about the effectiveness of remote monitoring on glycemic control and maternal and infant outcomes in women with gestational diabetes mellitus (GDM).

OBJECTIVES

This meta-analysis aimed to evaluate the effectiveness of remote blood glucose monitoring for women with gestational diabetes mellitus and to provide evidence-based guidance on the management of women with gestational diabetes mellitus for policymakers and healthcare providers during situations such as pandemics or natural disasters.

METHODS

The Cochrane Library, PubMed, Web of Science, EBSCO, Embase, Medline, CINAHL databases, and ClinicalTrials.gov were systematically searched from their inception to July 10, 2021. Randomized controlled trials (RCTs) published in English with respect to remote blood glucose monitoring in women with GDM were included in the meta-analysis. Two independent reviewers performed data extraction and assessed the quality of the studies. Risk ratios, mean differences, 95% confidence intervals, and heterogeneity were calculated.

RESULTS

A total of 1265 participants were included in the 11 RCTs. There were no significant differences in glycemic control and maternal-fetal outcomes between the remote monitoring group and a standard care group, which included glycosylated hemoglobin (HbA1c), fasting blood glucose, mean 2-h postprandial blood glucose, caesarean birth, gestational weight gain, shoulder dystocia, neonatal hypoglycemia, and other outcomes.

CONCLUSION

This meta-analysis reveals that it is unclear if remote glucose monitoring is preferable to standard of care glucose monitoring. To improve glycemic control and maternal-fetal outcomes during the current epidemic or other natural disasters, the implementation of double-blind RCTs in the context of simulating similar disasters remains to be studied in the future.

Gestational Weight Gain, Pregnancy Related Complications and the Short-Term Risks for the Offspring

BACKGROUND AND OBJECTIVES

Maternal obesity influences pregnancy course in several different manners, and imbalanced nutrition during pregnancy may lead to various adverse pregnancy outcomes. Additionally, nutritional status during pregnancy may have implications for the health of the offspring and may possibly influence early motor development in children. The aim of this study was to assess the impact of excessive gestational weight gain (EGWG) on pregnancy outcomes and infant's motor development within the first twelve months of life.

MATERIALS AND METHODS

The study included 200 participants divided in two groups based on their gestational weight gain. Maternal, perinatal, and neonatal factors were analyzed, and early motor development was assessed using the Alberta infant motor scale (AIMS).

RESULTS

EGWG was significantly associated with: pre-pregnancy BMI (p < 0.001), family history for cardiovascular diseases (p = 0.013) and diabetes mellitus (p = 0.045), hypertensive disorder of pregnancy (p = 0.003), gestational diabetes mellitus (p < 0.001), gestational anemia (p = 0.001), vitamin D deficiency (p = 0.001), metformin use (p = 0.045), pre-labor premature rupture of membranes (p = 0.031), amniotic fluid index (p = 0.047), and APGAR score in the first five min of life (p = 0.007). Scored by AIMS, EGWG was significantly associated with parameters of early motor development at the age of three AIMS total (p < 0.001), six AIMS total (p < 0.001), nine AIMS total (p < 0.001), and twelve AIMS total (p < 0.001) months of infant's life.

CONCLUSIONS

The link between EGWG and adverse neurodevelopmental outcomes in offspring is a complex and multifaceted issue. Our results imply significant alterations in early motor development in the group of infants born from mothers who gained weight excessively during pregnancy. Further studies are needed to unravel the intricacies of this relationship and inform strategies for preventive interventions and supportive care during pregnancy and infancy.

Risk Factors of Recurrent Diabetic Foot Ulcers Based on the Delphi Method

Background

The risk factors for recurrence are poorly understood. The purpose of study is to investigate the risk factors that contribute to the recurrence of diabetic foot ulcers.

Materials and Methods

This is a cross-sectional study, and the two-phase Delphi method was used. A category was developed to investigate the risk factors of recurrent diabetic foot ulcers by experts. The recurrent items with risk factors were analyzed. Furthermore, the risk factor variables were clinically tested for inter-rater reliability agreement. Fourteen experts and two patients were included from February 15 to September 28, 2020, Indonesia.

Results

There were 13 risk factors for recurrent diabetic foot ulcers. The mean authority coefficient was 0.71. The positive coefficients were 100% and 78%, respectively. The Kendall coordination coefficient was statistically significant (p < 0.01), and inter-rater reliability agreement was perfect (1.00).

Conclusions

This study found some risk variables related with recurrent diabetic foot ulcers, which might serve as guidance to prevent future recurrences.

Finerenone: A Novel Drug Discovery for the Treatment of Chronic Kidney Disease

BACKGROUND

The most common cause of chronic kidney disease (CKD) is diabetic nephropathy (DN). Primarilymineralocorticoid receptor antagonists (MRAs) (spironolactone and eplerenone), angiotensin-converting enzyme inhibitors or angiotensin receptor blockers were used for the treatment of CKD, but due to the high risk of hyperkalaemia, the combination was infrequently used. Currently after approval by FDA in 2021, finerenone was found to be effective in the treatment of CKD. Finerenone slowdowns the progression of diabetic nephropathy and lessens the cardiovascular morbidity in DN patients.

OBJECTIVE

The main objective of this review article is to provide a comprehensive and insightful overview of the role of finerenone by mainly focusing on its pharmacological properties, toxicity, uses, bioanalytical technique used for determination, and treatment options.

MATERIALS AND METHOD

Finerenone works by inhibiting the action of the mineralocorticoid receptor. Finerenone is quickly absorbed from the digestive tract after oral treatment and achieves peak plasma concentrations in 1-2 hours.

RESULT

Finerenone is actively metabolized through oxidation, epoxidation substitution, and direct hydroxylation. Elimination of finerenone is done through urine and feces. Determination of finerenone can be done through HPLC-MS and LSC.

CONCLUSION

The present review covers the complete picture of ADME properties, bioanalytical techniques, clinical trials, toxicity, and possible avenues in this arena. Finerenone is effective compared to other mineralocorticoid receptor-like spironolactone and eplerenone, for the treatment of chronic kidney disease.

Association Between Serum Glycated Hemoglobin Levels at Early Gestation and the Risk of Subsequent Pregnancy Loss in Pregnant Women Without Diabetes Mellitus: Prospective Cohort Study

BACKGROUND

As a severe morbidity during pregnancy, the etiology of spontaneous pregnancy loss (SPL) remains largely unknown. Serum glycated hemoglobin (HbA1c) level is an established predictor of SPL risk among women with diabetes, but little is known about whether such an association exists among pregnant women without diabetes when glycemic levels are within the normal range.

OBJECTIVE

This study aimed to quantify the association between maternal HbA1c levels in early pregnancy and subsequent SPL risk in a cohort of pregnant women without diabetes.

METHODS

This prospective cohort study involved 10,773 pregnant women without diabetes enrolled at their first antenatal care visit at a hospital's early pregnancy clinic from March 2016 to December 2018 in Shanghai, China. HbA1c and fasting blood glucose (FBG) levels were examined at enrollment. Participants with diabetes before or pregnancy or those diagnosed with gestational diabetes were excluded. Diagnosis of SPL, defined as fetal death occurring before 28 gestational weeks, was derived from medical records and confirmed via telephone interviews. We used generalized linear models to quantify the associations of continuous and dichotomized maternal HbA1c levels with SPL risk and reported crude and adjusted risk ratios (RRs) and 95% CIs. A restricted cubic spline (RCS) regression model was used to assess the potential nonlinear dose-response relationship. Adjusted covariates included maternal age, education level, preconception BMI, gestational weeks, gravidity, history of adverse pregnancy outcomes, family history of diabetes, folic acid supplementation, and smoking and drinking during the periconception period.

RESULTS

In total, 273 (2.5%) SPL cases occurred. Every 0.5% increase in HbA1c levels was linearly associated with a 23% increase in SPL risk (adjusted RR [aRR] 1.23; 95% CI 1.01-1.50). The RCS model revealed that this association was linear (P=.77 for the nonlinearity test). Analyses based on dichotomized HbA1c levels showed a significantly increased risk of SPL when HbA1c levels were ≥5.9% (aRR 1.67; 95% CI 0.67-3.67), and the significance threshold was ≥5.6% (aRR 1.60; 95% CI 1.01-2.54). Sensitivity analyses showed similar results when including the participants with missing SPL records or HbA1c data. Linear associations of HbA1c levels remained significant even in the subgroups without overweight, alcohol consumption, and a family history of diabetes and adverse pregnancy outcomes. Every 1 mmol/L increment in maternal FBG levels was associated with a >2-fold higher risk of SPL (aRR 2.12; 95% CI 1.61-2.80; P<.001).

CONCLUSIONS

Higher HbA1c levels in early pregnant women without diabetes are associated with an increased SPL risk in a dose-response manner. Pregnant women with an HbA1c level above 5.6% at early gestation need attention for its potentially increased risk for SPL. Our findings support the need to monitor HbA1c levels to identify individuals at high risk of subsequent SPL in the general population of pregnant women.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02737644; https://clinicaltrials.gov/study/NCT02737644.

Antidiabetic Therapy during Pregnancy: The Prescription Pattern in Italy

Pregestational and gestational diabetes mellitus are relevant complications of pregnancy, and antidiabetic drugs are prescribed to obtain glycemic control and improve perinatal outcomes. The objective of this study was to describe the prescription pattern of antidiabetics before, during and after pregnancy in Italy and to evaluate its concordance with the Italian guideline on treatment of diabetes mellitus. A multi-database cross-sectional population study using a Common Data Model was performed. In a cohort of about 450,000 women, the prescribing profile of antidiabetics seemed to be in line with the Italian guideline, which currently does not recommend the use of oral antidiabetics and non-insulin injection, even if practice is still heterogeneous (up to 3.8% in the third trimester used oral antidiabetics). A substantial variability in the prescription pattern was observed among the Italian regions considered: the highest increase was registered in Tuscany (4.2%) while the lowest was in Lombardy (1.5%). Women with multiple births had a higher proportion of antidiabetic prescriptions than women with singleton births both in the preconception period and during pregnancy (1.3% vs. 0.7%; 3.4% vs. 2.6%) and used metformin more frequently. The consumption of antidiabetics in foreign women was higher than Italians (second trimester: 1.8% vs. 0.9%, third trimester: 3.6% vs. 1.8%).

Prevalence of postpartum depression and its association with Diabetes mellitus among mothers in Mbarara, southwestern Uganda

Background

Postpartum Depression (PPD) is a major health challenge with potentially devastating maternal and physical health outcomes. Development of diabetes mellitus has been hypothesized as one the potential adverse effects of PPD among mothers in the postpartum period but this association has not been adequately studied. This study aimed at determining prevalence of postpartum depression and its association with diabetes mellitus among mothers in Mbarara District, southwestern Uganda.

Methods

This was a facility based cross sectional study of 309 mothers between 6th week to 6th month after childbirth. Using proportionate stratified consecutive sampling, mothers were enrolled from postnatal clinics of two health facilities, Mbarara Regional Referral Hospital and Bwizibwera Health center IV. PPD was diagnosed using the Mini-International Neuropsychiatric Interview (MINI 7.0.2) for the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). Diabetes mellitus was diagnosed by measuring Hemoglobin A1c (HbA1c). Logistic regression was used to determine the association of PPD and diabetes mellitus among mothers.

Results

The study established that PPD prevalence among mothers of 6th weeks to 6th months postpartum period in Mbarara was 40.5% (95% CI: 35.1-45.1%). A statistically significant association between postpartum depression and diabetes mellitus in mothers between 6 weeks and 6 months postpartum was established. The prevalence of diabetes mellitus among mothers with PPD was 28% compared to 13.6% among mothers without PPD Mothers with PPD had 3 times higher odds of being newly diagnosed with diabetes between 6 weeks and 6 months postpartum as compared to those without PPD during the same period (aOR=3.0, 95% CI: 1.62-5.74, p=0.001).

Conclusion and Recommendations

Postpartum women within 6th weeks to 6th months have higher risks of developing diabetes mellitus. Research is needed to determine if targeted diabetes mellitus screening, prevention interventions and management will help reduce the burden.

Effectiveness of two photosensitizer-mediated photodynamic therapy for treating moderate peri-implant infections in type-II diabetes mellitus patients: A randomized clinical trial

PURPOSE

This study evaluated the impact of Fox Green (FG) against methylthioninium chloride (MTC)-facilitated photodynamic therapy (PDT) as an adjunctive to manual scaling (MS) on the peri‑implant clinical and cytokine parameters in type-2 diabetes mellitus (DM) patients with peri‑implantitis.

METHODS

Patients were divided into group-A comprising 13 patients who received adjunctive FG-PDT using a diode laser (wavelength: 810 nm; irradiation power: 300 mW; irradiation time: 30 s; fluence: 56 Jcm-2), group-B comprising 12 patients who received adjunctive MTC-PDT using a diode laser (wavelength: 660 nm; irradiation power: 100 mW; irradiation time: 120 s/site; fluence: 30 Jcm-2), and group-C comprising 13 patients who received MS alone [control group]). After diagnosing the diabetics with peri‑implantitis (established on eligibility criteria), a structured questionnaire was used to gather the information of the participants. Plaque (PS) and bleeding scores (BS), along with peri‑implant probing scores (PPS) and peri‑implant bone loss (PIBL), together with immunological variables (interleukin [IL]-6, tumor necrosis factor-alpha [TNF-α], and advanced glycation end products [AGEs]) were measured in all study group participants at baseline, 3-month, and 6-month follow-ups.

RESULTS

A significant reduction was observed for PS, BS, and PPS within all tested groups at each follow-up visits compared from their baseline values (p<0.05). However, a substantial decrease in PIBL was observed in all study group patients at 6-month follow-up as compared to 3-month follow-up (p<0.05). Regarding the levels of IL-6 and TNF-α, a substantial reduction was observed in all study groups until 6-month from their baseline scores (p<0.05). However, no changes were observed in the levels of AGEs in any group at either visit (p>0.05).

CONCLUSION

In DM patients with periimplantitis, adjunctive FG-PDT and MTC-PDT exhibited comparable outcomes in terms of peri‑implant clinical as well as pro-inflammatory characteristics than MS alone among peri‑implantitis patients with DM.

Relationship between acute glucose variability and cognitive decline in type 2 diabetes: A systematic review and meta-analysis

BACKGROUND

Cognitive decline is one of the most widespread chronic complications of diabetes, which occurs in more than half of the patients with type 2 diabetes (T2DM). Emerging evidences have suggested that glucose variability (GV) is associated with the pathogenesis of diabetic complications. However, the influence of acute GV on cognitive dysfunction in T2DM is still controversial. The aim of the study was to evaluate the association between acute GV and cognitive defect in T2DM, and provide a most recent and comprehensive summary of the evidences in this research field.

METHODS

PubMed, Cochrane library, EMBASE, Web of science, Sinomed, China National Knowledge Infrastructure (CNKI), and Wanfang were searched for articles that reported on the association between acute GV and cognitive impairment in T2DM.

RESULTS

9 eligible studies were included, with a total of 1263 patients with T2DM involved. Results showed that summary Fisher's z value was -0.23 [95%CI (-0.39, -0.06)], suggesting statistical significance (P = 0.006). Summary r value was -0.22 [95%CI (-0.37, -0.06)]. A lower cognitive performance was found in the subjects with greater glucose variation, which has statistical significance. Mean amplitude of glycemic excursions (MAGE) was associated with a higher risk of poor functional outcomes. Fisher's z value was -0.35 [95%CI (-0.43, -0.25)], indicating statistical significance (P = 0.011). Sensitivity analyses by omitting individual studies showed stability of the results.

CONCLUSIONS

Overall, higher acute GV is associated with an increased risk of cognitive impairment in patients with T2DM. Further studies should be required to determine whether targeted intervention of reducing acute GV could prevent cognitive decline.

Meta-analysis comparing diabetes in pregnancy study group India (DIPSI) vs the international association of the diabetes and pregnancy study groups (IADPSG) criteria for diagnosis of gestational diabetes among Indian population

Despite consensus on universal screening of women at 24-28 weeks for a diagnosis of gestational diabetes, controversy remains on an appropriate criterion. The study is aimed to find out the sensitivity and specificity of Diabetes in Pregnancy Study Group India (DIPSI) criteria compared to the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria for diagnosis of Gestational Diabetes Mellitus (GDM). A meta-analysis of studies comparing DIPSI as an index test to IADPSG as the reference test for diagnosing GDM was carried out. A total of 8 comparative studies were included. Pooled analysis showed a sensitivity of 0.44 [0.29 to 0.60] and specificity of 0.97 [0.94 to 0.98], which means the index test DIPSI will correctly identify only 44% of the subjects who have the disease (GDM positive) but it will also fail to identify 56% of the GDM positive subjects. Derek's funnel graph revealed fewerchances of publication bias. Though convenient, DIPSI criteria was not found to be sensitive enough for a diagnosis of GDM and missed an opportunity to improve pregnancy and subsequent long-term outcomes for a substantial number of women. Further studies should focus on comparing pregnancy outcomes for the two criteria, so that decision to adopt any criteria is more evidence-based.

An Evaluation of the Second Trimester Thyroid Function Test in Gestational Diabetes Mellitus: A Case-Control Study

INTRODUCTION

Gestational diabetes mellitus (GDM) is defined as glucose intolerance in a female with its onset or first recognition during pregnancy. Females with GDM are at higher risk of developing antenatal complications like preeclampsia during pregnancy and increased risk of type 2 diabetes as well as cardiovascular disorders later in their life. Maternal thyroid changes in the first and second trimesters of pregnancy have been widely related to the risk of GDM. Hypothyroidism during pregnancy is associated with early and late complications like abortions, anaemia, gestational hypertension, placental abruption and postpartum haemorrhage, impaired infant neurodevelopment, and low birth weight.

OBJECTIVES

This study aims to compare the thyroid function test (TFT) (serum fT3, fT4, TSH) and thyroid peroxidase antibody (anti TPO) between GDM and non GDM pregnant women in the second trimester and to correlate the adverse pregnancy outcomes with TFT in GDM and non GDM women.

METHODS

A nested case-control study was done in the Department of Obstetrics and Gynaecology, Department of Endocrinology, Department of Paediatrics, University College of Medical Sciences, and Guru Teg Bahadur (GTB) Hospital, Delhi. About 350 pregnant women from 13 weeks till 28 weeks period of gestation were screened out of which 40 GDM and 40 non GDM women were selected after performing an oral glucose tolerance test (OGTT). A TFT and anti TPO test were compared between GDM and non GDM participants. Furthermore, various parameters like sociodemographic profile, mode of delivery, pregnancy outcomes, and adverse maternal and adverse neonatal outcomes were compared.

CONCLUSION

The mean age of GDM women is found to be more than non GDM women. The mean TFT values are significantly lower in women with GDM as compared to non GDM women. In addition, higher values of anti TPO antibody (thyroid autoantibody) were found in the GDM group which aids in insulin resistance. Maternal complications like polyhydramnios, preterm labour, and pregnancy-induced hypertension were found to be more frequent in the GDM group compared to the non GDM group, but the results were statistically not significant. There was a higher incidence of caesarean delivery in the GDM group. Thus, we recommend the implementation of routine thyroid function profile testing in all antenatal females especially those who are at risk of developing GDM. Our study is one of the few Indian studies to evaluate the association of TFT in GDM, and we recommend similar research with a larger sample size and postnatal follow-up.

Early postpartum HbA1c after hyperglycemia first detected in pregnancy-Imperfect but not without value

BACKGROUND

South African women of childbearing age are disproportionally affected by obesity and at significant risk of Type 2 Diabetes Mellitus (T2DM). Unless pregnant, they do not readily undergo screening for T2DM. With a local focus on improved antenatal care, hyperglycemia is often first detected in pregnancy (HFDP). This may erroneously be attributed to Gestational Diabetes Mellitus (GDM) in all without considering T2DM. Glucose evaluation following pregnancy is essential for early detection and management of women with T2DM in whom persistent hyperglycemia is to be expected. Conventional testing with an oral glucose tolerance test (OGTT) is cumbersome, prompting investigation for alternate solutions.

AIM

To compare the diagnostic performance of HbA1c to the current gold standard OGTT in women with HFDP 4-12 weeks post-delivery.

METHODS

Glucose homeostasis was assessed with OGTT and HbA1c in 167 women with HFDP, 4-12 weeks after delivery. Glucose status was based on American Diabetes Association criteria.

RESULTS

Glucose homeostasis was assessed at 10 weeks (IQR 7-12) after delivery. Of the 167 participants, 52 (31%) had hyperglycemia, which was comprised of 34 (20%) prediabetes and 18 (11%) T2DM. Twelve women in the prediabetes subgroup had diagnostic fasting plasma glucose (FPG) and 2-hour plasma glucose (2hPG), but in two-thirds of the patients (22/34) only one time point proved diagnostic. The FPGs and the 2hPGs of six women with HbA1c-based T2DM were both within the prediabetes diagnostic range. According to the HbA1c measurements, 85% of 52 participants with gold standard OGTT defined hyperglycemia (prediabetes and T2DM) as well as 15 of 18 women with postpartum persistent T2DM were correctly classified. According to FPG, 15 women with persistent hyperglycemia would have been missed (11 with prediabetes and four with T2DM; 29%). When compared to an OGTT, a single HbA1c of 6.5% (48mmol/mol) postpartum demonstrated a sensitivity of 83% and specificity of 97% for the identification of T2DM.

CONCLUSION

HbA1c may improve access to postpartum testing in overburdened clinical settings where the required standards of OGTT cannot be guaranteed. HbA1c is a valuable test to detect women who will benefit most from early intervention but cannot unequivocally replace OGTT.

The promise of CRISPR/Cas9 technology in diabetes mellitus therapy: How gene editing is revolutionizing diabetes research and treatment

Diabetes mellitus is a metabolic disease, characterized by chronic hyperglycemia caused by an abnormality in insulin secretion or action. Millions of people across the world are affected by diabetes mellitus which has serious implications for their health. Over the past few decades, diabetes has become a major cause of mortality and morbidity across the world due to its rapid prevalence. Treatment for diabetes that focuses on insulin secretion and sensitization can lead to unwanted side effects and/or poor compliance, as well as treatment failure. A promising way to treat diabetes is through gene-editing technologies such as clustered regularly interspaced short palindromic repeats (CRISPR/Cas9). However, issues such as efficiency and off-target effects have hindered the use of these technologies. In this review, we summarize what we know today about CRISPR/Cas9 technology's therapeutic potential for treating diabetes. We discuss how different strategies are employed, including cell-based therapies (such as stem cells and brown adipocytes), targeting critical genes involved in diabetes pathogenesis, and discussing the challenges and limitations associated with this technology. A novel and powerful treatment approach to diabetes and other diseases can be found with CRISPR/Cas9 technology, and further research should be carried out in this field.

Betatrophin, elabela, asprosin, glucagon and subfatin peptides in breast tissue, blood and milk in gestational diabetes

We investigated the presence of asprosin (ASP), betatrophin, elabela (ELA), glucagon and subfatin (SUB) in the milk of mothers with gestational diabetes mellitus (GDM) and compared their levels with blood levels. We also investigated whether these peptides are synthesized by the breast. We investigated 12 volunteer mothers with GDM and 14 pregnant non-GDM control mothers. The peptides were measured using ELISA and their tissue localization was determined using immunohistochemistry. Breast milk contains ASP, betatrophin, ELA, glucagon and SUB. The amount of the peptides ranged from highest to the lowest in colostrum, transitional milk and mature milk. The amount of peptides in the milk was greater than for blood. The peptides, except for ELA, were increased in milk and blood by GDM. Betatrophin and ELA are synthesized in the connective tissue of the breast. ASP, glucagon and SUB are synthesized in the alveolar tissue of the breast. These peptides in breast milk may contribute to the development of the gastrointestinal tract of newborns and infants.

Self-reported Male Infertility and Metabolic Disturbance: A Cross-Sectional Study

Background

Male infertility is a growing health problem. It is proposed that infertility is associated with some metabolic abnormalities.

Objectives

This study aimed to examine the prevalence of self-reported male infertility and related metabolic disturbances.

Methods

This is a cross-sectional analysis of the Tehran Lipid and Glucose Study (TLGS). A total of 1526 males participated in the study. Logistic regression was used to examine metabolic factors associated with self-reported male infertility.

Results

The total prevalence of self-reported male infertility was 6.42%. The mean (SD) body mass index (BMI) of participants among fertile and infertile males was 26.80 (3.93) and 26.92 (4.36), respectively. The majority of participants in both groups were in the age group of 40-50 years old. In the fully adjusted model, the odds of infertility were significantly increased by each unit increase in total cholesterol [TC; odds ratio (OR), 1.01; 95% CI, 1.01 - 1.01; P = 0.03] and hip circumference (HC; OR, 1.06; 95% CI, 1.00 - 1.12; P = 0.02), respectively.

Conclusions

The prevalence of self-reported male infertility was 6.42%. Male infertility was positively associated with TC and HC, indicating that knowledge about these risks might assist health care professionals and governments in developing and executing measures to change the status quo.

The use of first and second-generation antipsychotic drugs and the potential to develop gestational diabetes mellitus among perinatal patients with psychosis

There is limited knowledge about the effects of antipsychotic exposure on the development of gestational diabetes mellitus (GDM) in women with mental illness. Studies have demonstrated an association between antipsychotic medications and metabolic problems such as weight gain and diabetes mellitus in non-pregnant patients with psychiatric disorders. GDM increases the risk of adverse maternal outcomes, including pregnancy-induced hypertension, antepartum and postpartum haemorrhage, and caesarean delivery. The National Register of Antipsychotic Medication in Pregnancy (NRAMP) is a prospective Australian cohort study that observed women who took antipsychotics during pregnancy. Data from 205 women were extracted for the final analysis and included women who took first or second-generation antipsychotics (FGA,SGA) during the first trimester of pregnancy (at minimum) and had a diagnosis of a psychotic disorder (n = 180). The comparison (non-exposed) group (n = 25) were women with psychosis who chose not to take any antipsychotic during the first trimester (at minimum). The comparison groups were not matched, although groups were homogenous in terms of sex, age range, diagnosis and perinatal status. The results of logistic regression analysis revealed that women who were exposed to FGAs, SGAs were seven and five times, respectively, more likely to develop GDM compared to non-exposed groups. When adjusted for confounding variables such as BMI and family history of diabetes, the potential of developing GDM decreased for women taking SGAs. In conclusion, the risk of developing GDM is lower in women taking SGAs compared with women taking FDAs. In addition, family history of diabetes and BMI adds to the risk.

"A disease that god has given me" patients and caregivers' perspectives on diabetes in southeastern Tanzania

BACKGROUND

Prompt diagnosis and appropriate management of diabetes has the potential of improving survival and patient health outcomes. Yet many diabetes patients present themselves to health facilities at an advanced stage of the disease which complicates its management. Individual perceptions about diseases are known to play a critical role in informing responses and actions including seeking health care and self-care practices. However, little is documented in Tanzania regarding the perspectives of diabetes patients and their caregivers about the disease especially in rural settings.

METHODS

We conducted 26 in-depth interviews involving 19 diabetes patients and 7 diabetes patient caregivers to explore in detail their perspectives on diabetes as a disease. Data was analyzed using thematic analysis with the help of NVivo9.

RESULTS

Both patients and caregivers expressed mixed perceptions on diabetes causes. In addition to heredity, and the failure of the pancreas to function well, lifestyle factors including lack of physical activity and eating too many sugary and oily foods were common reported causes. However, none of the participants were clear on the mechanisms between the perceived causes and the actual occurrence of the disease. Perception on susceptibility to diabetes was low even among participants with the disease as they reported not having ever thought of getting the condition before they were diagnosed. Some caregivers expressed worry and fear on their susceptibility to inheriting diabetes from their relatives who had the condition. Diabetes was perceived as a severe and life-threatening condition that can easily cause death if not well managed. Participants indicated uncertainty on its prevention.

CONCLUSION

This study shows mixed perspectives on the causes, susceptibility, severity and prevention of diabetes which were informed by the participants' limited knowledge and awareness about the disease. Interventions to strengthen responses to diabetes, which include buy-in from the patients and their caregiver's perspectives are essential to improve prevention, early diagnosis and appropriate management in rural settings.

Medical nutrition therapy for gestational diabetes mellitus in Australia: What has changed in 10 years and how does current practice compare with best practice?

BACKGROUND

The present study aimed to report Australian dietetic practice regarding management of gestational diabetes mellitus (GDM) and to make comparisons with the findings from a 2009 survey of dietitians and with the Academy of Nutrition and Dietetics Evidence-Based Nutrition Practice Guidelines (NPG).

METHODS

Cross-sectional surveys were conducted in 2019 and 2009 of dietitians providing medical nutrition therapy (MNT) to women with GDM in Australia. The present study compares responses on demographics, dietetic assessment and interventions, and guideline use in 2019 vs. 2009.

RESULTS

In total, 149 dietitians (2019) and 220 (2009) met survey inclusion criteria. In both surveys >60% of respondents reported dietary interventions aiming for >45% energy from carbohydrate, 15%-25% energy from protein and 15%-30% energy from fat. Many variations in MNT found in 2009 continued to be evident in 2019, including the percentage of energy from carbohydrate aimed for (30%-65% in 2019 vs. 20%-75% in 2009) and the wide range in the recommended minimum daily carbohydrate intake (40-220 and 60-300 g). Few dietitians reported aiming for the NPG minimum of 175 g of carbohydrate daily in both surveys (32% in 2019 vs. 26% in 2009). There were, however, some significant increases in MNT consistent with NPG recommendations in 2019 vs. 2009, including the minimum frequency of visits provided (49%, n = 61 vs. 33%, n = 69; p < 0.001) and provision of gestational weight gain advice (59%, n = 95 vs. 40%, n = 195; p < 0.05).

CONCLUSIONS

Although many dietitians continue to provide MNT consistent with existing NPG, there is a need to support greater uptake, especially for recommendations regarding carbohydrate intake.

Exposure to Gestational Diabetes Mellitus Prior to 26 Weeks Is Related to the Presence of Mediobasal Hypothalamic Gliosis in Children

Intrauterine exposure to metabolic dysfunction leads to offspring metabolic dysfunction in human and rodent models, but underlying mechanisms are unclear. The mediobasal hypothalamus (MBH) is involved in energy homeostasis and weight regulation, and MBH gliosis is associated with obesity and insulin resistance. We tested the hypothesis that offspring exposed to gestational diabetes mellitus (GDM) in utero versus those unexposed would show evidence of MBH gliosis. Participants in the BrainChild Study (age 7-11 years with confirmed GDM exposure or no GDM exposure) underwent brain MRI to acquire T2-weighted images. By using the amygdala (AMY) and white matter (WM) as reference regions, MBH:AMY and MBH:WM T2 signal ratios were calculated as a radiologic measure of MBH gliosis. Linear regressions were used to examine associations between GDM exposure (GDM overall) and by timing of GDM exposure (≤26 weeks or >26 weeks) and MBH gliosis. Associations between prepregnancy BMI and child MBH gliosis were examined in secondary analyses. There were no differences in T2 signal ratios in children exposed versus not exposed to GDM overall, but children exposed to early GDM (≤26 weeks of gestation) had higher MBH:WM signal ratios than those not exposed (β = 0.147; SE 0.06; P = 0.03), adjusting for child's age, sex, and BMI z score and maternal prepregnancy BMI, whereas no associations were seen for the control ratio (AMY:WM). Prepregnancy BMI was not associated with evidence of MBH gliosis. Early exposure to GDM was associated with radiologic evidence of MBH gliosis in children. These data provide mechanistic insight into brain pathways by which exposure to GDM may increase risk for metabolic dysfunction.

Identification of human placenta-derived circular RNAs and autophagy related circRNA-miRNA-mRNA regulatory network in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a metabolic and reproductive disease with serious risks and adverse health effects. However, the pathophysiological mechanism of GDM, especially the roles of circRNAs in its pathogenesis, is largely unknown. The objective of this study was to identify and investigate the roles of circRNAs in GDM. In the current study, placental circRNA expression profiles of normal controls and GDM patients were analyzed using high-throughput sequencing. Bioinformatics analysis identified a total of 4,955 circRNAs, of which 37 circRNAs were significantly deregulated in GDM placentas compared with NC placentas. GO and KEGG enrichment analyses demonstrated that metabolic process-associated terms and metabolic pathways that may be related to GDM were significantly enriched. The biological characteristics of placenta-derived circRNAs, such as their stability and RNase R resistance, were also validated Bioinformatics prediction. Moreover, we constructed the autophagy related circRNA-miRNA-mRNA regulatory network and further functional analysis revealed that the circCDH2-miR-33b-3p-ULK1 axis may be associated with autophagy in the placentas of GDM patients. Our study indicates that aberrant expression of circRNAs may play roles in autophagy in GDM placentas, providing new insights into GDM.

An overview of advancements in closed-loop artificial pancreas system

Type 1 diabetes (T1D) is one of the world's health problems with a prevalence of 1.1 million for children and young adults under the age of 20. T1D is a health problem characterized by autoimmunity and the destruction of pancreatic cells that produce insulin. The available treatment is to maintain blood glucose within the desired normal range. To meet bolus and basal requirements, T1D patients may receive multiple daily injections (MDI) of fast-acting and long-acting insulin once or twice daily. In addition, insulin pumps can deliver multiple doses a day without causing injection discomfort in individuals with T1D. T1D patients have also monitored their blood glucose levels along with insulin replacement treatment using a continuous glucose monitor (CGM). However, this CGM has some drawbacks, like the sensor needs to be replaced after being inserted under the skin for seven days and needs to be calibrated (for some CGMs). The treatments and monitoring devices mentioned creating a lot of workloads to maintain blood glucose levels in individuals with T1D. Therefore, to overcome these problems, closed-loop artificial pancreas (APD) devices are widely used to manage blood glucose in T1D patients. Closed-loop APD consists of a glucose sensor, an insulin infusion device, and a control algorithm. This study reviews the progress of closed-loop artificial pancreas systems from the perspective of device properties, uses, testing procedures, regulations, and current market conditions.

Dietary and Nutrient Intake, Eating Habits, and ItsAssociation with Maternal Gestational Weight Gain and Offspring’s Birth Weight in Pregnant Adolescents

Pregnant adolescents’ diet and eating habits are inadequate; however, their association with gestational weight gain (GWG) is uncertain. We aimed to analyze whether there is an association between dietary and nutrient intake and eating habits with GWG among pregnant adolescents and their offspring’s birth weight. A longitudinal study was performed with 530 participants. We assessed GWG and applied several tools, such as a food frequency questionnaire and 24-h recall, to obtain dietary and nutrient intake and eating habits. The birth weight of adolescents’ offspring was registered. Later, we performed crude and adjusted Poisson models. The mean age was 15.8 ± 1.3 years. Of all food groups, the lowest frequency of adequate intake corresponded to vegetables (7%) and legumes (10.2%). Excessive (36.8%) and insufficient (40.9%) GWG were observed. Pregnant adolescents with inadequate legumes intake increased the probability of excessive GWG: (PR 1.86 95% CI 1.00–3.44). Cereals and grains were positively associated with GWG: (PR 1.65, 95% CI 1.18–2.29). Energy, macronutrient intake, and eating habits were not associated with GWG. Offspring’s small gestational age (SGA) increased when pregnant adolescents had inadequate sugar-sweetened beverages intake: PR (1.58, 95% CI 1.01–2.49) and when pregnant adolescent watched television (TV). In our sample of Mexican adolescents, dietary and nutrient intake and eating habits were inadequate. Excessive dietary intake from cereals, grains, and animal-sourced foods along with insufficient legumes were associated with excessive GWG. Watching TV while adolescents ate was associated with the birth weight of the offspring.

Diabetes in Pregnancy Study Group India (DIPSI) and WHO (1999) diagnostic criteria for GDM: A meta-analysis

BACKGROUND AND AIMS

The diagnosis of Gestational diabetes mellitus (GDM) is challenging and controversial due to the heterogeneity or lack of consensus regarding the screening and diagnostic criteria for GDM.

METHODS

A meta-analysis of studies comparing Diabetes in Pregnancy Study Group India (DIPSI) and WHO 1999 for diagnosing GDM was carried out.

RESULTS

A total of 6 comparative studies were included. Pooled analysis showed sensitivity and specificity as 0.79 (95% CI: 0.53 to 0.92) and 0.97 (95% CI: 0.94 to 0.98) respectively.

CONCLUSION

Based on the results of the meta-analysis, DIPSI showed higher specificity when compared to WHO 1999, hence may be used to rule in disease in probable GDM cases. However, the results should be interpreted more cautiously and carefully since only a few studies were included.

Deep Insight of the Pathophysiology of Gestational Diabetes Mellitus

Diabetes mellitus is a severe metabolic disorder, which consistently requires medical care and self-management to restrict complications, such as obesity, kidney damage and cardiovascular diseases. The subtype gestational diabetes mellitus (GDM) occurs during pregnancy, which severely affects both the mother and the growing foetus. Obesity, uncontrolled weight gain and advanced gestational age are the prominent risk factors for GDM, which lead to high rate of perinatal mortality and morbidity. In-depth understanding of the molecular mechanism involved in GDM will help researchers to design drugs for the optimal management of the condition without affecting the mother and foetus. This review article is focused on the molecular mechanism involved in the pathophysiology of GDM and the probable biomarkers, which can be helpful for the early diagnosis of the condition. The early diagnosis of the metabolic disorder, most preferably in first trimester of pregnancy, will lead to its effective long-term management, reducing foetal developmental complications and mortality along with safety measures for the mother.

Hyperglycemia First Detected in Pregnancy in South Africa: Facts, Gaps, and Opportunities

This review contextualizes hyperglycemia in pregnancy from a South-African perspective. It aims to create awareness of the importance of hyperglycemia in pregnancy in low-middle-income countries. We address unanswered questions to guide future research on sub-Saharan African women with hyperglycemia first detected in pregnancy (HFDP). South African women of childbearing age have the highest prevalence of obesity in sub-Saharan Africa. They are predisposed to Type 2 diabetes (T2DM), the leading cause of death in South African women. T2DM remains undiagnosed in many African countries, with two-thirds of people living with diabetes unaware. With the South African health policy's increased focus on improving antenatal care, women often gain access to screening for non-communicable diseases for the first time in pregnancy. While screening practices and diagnostic criteria for gestational diabetes mellitus (GDM) differ amongst geographical areas in South Africa (SA), hyperglycemia of varying degrees is often first detected in pregnancy. This is often erroneously ascribed to GDM, irrespective of the degree of hyperglycemia and not overt diabetes. T2DM and GDM convey a graded increased risk for the mother and fetus during and after pregnancy, with cardiometabolic risk accumulating across the lifespan. Resource limitations and high patient burden have hampered the opportunity to implement accessible preventative care in young women at increased risk of developing T2DM in the broader public health system in SA. All women with HFDP, including those with true GDM, should be followed and undergo glucose assessment postpartum. In SA, studies conducted early postpartum have noted persistent hyperglycemia in a third of women after GDM. Interpregnancy care is advantageous and may attain a favourable metabolic legacy in these young women, but the yield of return following delivery is suboptimal. We review the current best evidence regarding HFDP and contextualize the applicability in SA and other African or low-middle-income countries. The review identifies gaps and shares pragmatic solutions regarding clinical factors that may improve awareness, identification, diagnosis, and management of women with HFDP.

Overt Diabetes in Pregnancy

AIMS

Overt diabetes in pregnancy is defined as hyperglycemia first recognized during pregnancy which meets the diagnostic threshold of diabetes in non-pregnant adults. This case-based narrative review aims to describe this unique condition and discuss the potential implications for its accurate diagnosis and management.

METHODS AND RESULTS

We conducted a literature search in PubMed for relevant articles published in English language up to January 2022. Women with overt diabetes have a higher risk for adverse pregnancy outcomes and postpartum diabetes, compared to their counterparts with gestational diabetes mellitus (GDM). Such women often need aggressive management, including early and prompt initiation of insulin therapy, and a close follow-up during pregnancy and in the postpartum period. Not all pregnant women with overt diabetes have persistent diabetes in the postpartum period. Early diagnosis, especially during the first trimester, and fasting plasma glucose elevation (≥ 126 mg/dl or 7 mmol/L) at the time of initial diagnosis are predictors of postpartum diabetes.

CONCLUSIONS

Both GDM and overt diabetes in pregnancy are hyperglycemic conditions first recognized during pregnancy, but the two conditions differ in severity; the latter is a more severe form of hyperglycemia associated with worse maternal and fetal outcomes, and a higher risk of postpartum diabetes.

Early pregnancy hyperglycaemia as a significant predictor of large for gestational age neonates

AIMS

We aimed to determine the effect of early pregnancy hyperglycaemia on having a large for gestational age (LGA) neonate.

METHODS

A prospective cohort study was conducted among pregnant women in their first trimester. One-step plasma glucose (PG) evaluation procedure was performed to assess gestational diabetes mellitus (GDM) and diabetes mellitus (DM) in pregnancy as defined by the World Health Organization (WHO) criteria with International Association of Diabetes in Pregnancy Study Group (IADPSG) thresholds. The main outcome studied was large for gestational age neonates (LGA).

RESULTS

A total of 2,709 participants were recruited with a mean age of 28 years (SD = 5.4) and a median gestational age (GA) of eight weeks (interquartile range [IQR] = 2). The prevalence of GDM in first trimester (T1) was 15.0% (95% confidence interval [CI] = 13.7-16.4). Previously undiagnosed DM was detected among 2.5% of the participants. Out of 2,285 live births with a median delivery GA of 38 weeks (IQR = 3), 7.0% were LGA neonates. The cumulative incidence of LGA neonates in women with GDM and DM was 11.1 and 15.5 per 100 women, respectively. The relative risk of having an LGA neonate among women with DM and GDM was 2.30 (95% CI = 1.23-4.28) and 1.80 (95% CI = 1.27-2.53), respectively. The attributable risk percentage of a LGA neonate for hyperglycaemia was 15.01%. T1 fasting PG was significantly correlated with both neonatal birth weight and birth weight centile.

CONCLUSIONS

The proposed WHO criteria for hyperglycaemia in pregnancy are valid, even in T1, for predicting LGA neonates. The use of IADPSG threshold for Fasting PG, for risk assessment in early pregnancy in high-risk populations is recommended.

Association of Pregestational BMI and Gestational Weight Gain with Maternal and Neonatal Outcomes in Adolescents and Adults from Mexico City

During pregnancy, adolescents experience physiological changes different from adults because they have not concluded their physical growth. Therefore, maternal and neonatal outcomes may not be the same. This paper aimed to analyze the association between pregestational BMI (pBMI) and gestational weight gain (GWG) with maternal and neonatal outcomes in adolescent and adult pregnant women. The authors performed an observational study that included 1112 women, where 52.6% (n = 585) were adolescents. Sociodemographic information, pBMI, GWG, neonatal anthropometric measures, and maternal and neonatal outcomes were obtained. Adolescent women had a mean lower (21.4 vs. 26.2, p ≤ 0.001) pBMI than adults and a higher gestational weight gain (12.3 vs. 10.7 kg, p ≤ 0.001). According to Poisson regression models, gestational diabetes is positively associated with insufficient GWG and with pregestational obesity. Furthermore, the probability of developing pregnancy-induced hypertension increased with pBMI of obesity compared to normal weight. Preeclampsia, anemia, and preterm birth were not associated with GWG. Insufficient GWG was a risk factor, and being overweight was a protective factor for low birth weight and small for gestational age. We conclude that pBMI, GWG, and age group were associated only with gestational diabetes and low birth weight.

Adverse obstetric outcomes in early-diagnosed gestational diabetes mellitus: The Japan Environment and Children's Study

AIMS/INTRODUCTION

To examine adverse outcomes in women with early-diagnosed gestational diabetes mellitus using data from a large birth cohort study in Japan.

MATERIALS AND METHODS

This study analyzed data from singleton pregnancies in the Japan Environment and Children's Study including births during 2011-2014. Mothers with an HbA1c level ≥6.5% in the first trimester, a history of diabetes mellitus, or steroid use during pregnancy were excluded. The participants were divided into three groups: control (without gestational diabetes mellitus), early-diagnosed gestational diabetes mellitus (diagnosed before gestational week 24), and late-diagnosed gestational diabetes mellitus (diagnosed after gestational week 24). Multiple logistic regression analysis was performed to calculate the risk of early-diagnosed and late-diagnosed gestational diabetes mellitus for adverse obstetrics outcomes.

RESULTS

In total, 100,376 eligible participants were included in this study. The number of individuals in control cases, early-diagnosed gestational diabetes mellitus cases, and late-diagnosed gestational diabetes mellitus cases was 98,090 (97.7%), 751 (0.7%), and 1,535 (1.5%), respectively. When control cases were used as reference, multiple logistic regression analysis revealed that early-diagnosed gestational diabetes mellitus increased the risk of hypertensive disorders of pregnancy (adjusted odds ratio: 2.08, 95% confidence interval: 1.51-2.86), early-onset hypertensive disorders of pregnancy (adjusted odds ratio: 1.91, 95% confidence interval: 1.01-3.65), and late-onset hypertensive disorders of pregnancy (adjusted odds ratio: 1.92, 95% confidence interval: 1.29-2.86).

CONCLUSION

Early-diagnosed gestational diabetes mellitus is associated with serious obstetric complications. Our findings indicate the necessity of further investigations to validate the benefit of early screening for gestational diabetes mellitus in pregnant women.

Toward Non-Invasive Estimation of Blood Glucose Concentration: A Comparative Performance

The present study comprises a comparison of the Mel Frequency Cepstral Coefficients (MFCC), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) as feature extraction methods using ten different regression algorithms (AdaBoost, Bayesian Ridge, Decision Tree, Elastic Net, k-NN, Linear Regression, MLP, Random Forest, Ridge Regression and Support Vector Regression) to quantify the blood glucose concentration. A total of 122 participants—healthy and diagnosed with type 2 diabetes—were invited to be part of this study. The entire set of participants was divided into two partitions: a training subset of 72 participants, which was intended for model selection, and a validation subset comprising the remaining 50 participants, to test the selected model. A 3D-printed chamber for providing a light-controlled environment and a low-cost microcontroller unit were used to acquire optical measurements. The MFCC, PCA and ICA were calculated by an open-hardware computing platform. The glucose levels estimated by the system were compared to actual glucose concentrations measured by venipuncture in a laboratory test, using the mean absolute error, the mean absolute percentage error and the Clarke error grid for this purpose. The best results were obtained for MCCF with AdaBoost and Random Forest (MAE = 11.6 for both).

Gender-based comparison of factors affecting regular exercise of patients with Non-Insulin Dependent Diabetes Mellitus (NIDDM) based on the 7th Korea National Health and Nutrition Examination Survey (KNHANES)

OBJECTIVE

This study aimed to determine the gender factors that influence regular exercise in patients with non-insulin-dependent diabetes mellitus (NIDDM) in Korea.

METHODS

A total of 1,432 patients with NIDDM were recruited using raw data from the Korea National Health and Nutrition Survey conducted between 2016 and 2018. SAS 9.4 was adopted for data analyses, and the distributional difference was measured with multinomial logistic regression and Rao-Scott x2 statistics to identify the factors that influence the regular physical activities of patients. that the analysis only provides associations.

RESULTS

Based on general characteristics, health behaviors, and conditions, patients with NIDDM in Korea were less physically active. In addition, patients with higher educational attainment, higher income, and higher subjective health conditions had a higher odds ratio for regular exercise. Meanwhile, the ratio was lower for smokers and those stressed up.

CONCLUSION

A professional guide for the initial phase of training and consistent management is required to increase the involvement of patients with NIDDM in regular exercise. Therefore, it is important to maintain their motivation to continue exercising. Rather than providing a universal guideline, it is more important to provide customized programs and management plans which reflect factors that influence their engagement in physical activities, such as individual physical strength, stress level, alcohol consumption, and arthritis.

Comparing the effect of individual counseling with counseling on social application on self-care and quality of life of women with gestational diabetes

INTRODUCTION

The present study aimed to compare the effect of two different forms of face-to-face and counseling on a social application, i.e., WhatsApp, on self-care and quality of life of women with gestational diabetes.

METHODS

The present research was an educational trial with control group, which was conducted on diabetic women between 24 and 26 weeks of pregnancy. A total of 126 subjects were included in the study using the convenient sampling method. They were assigned into three groups. All of the participants answered the questionnaires gestational diabetes self-care, and quality of life at the beginning and end of the study. The GATHER approach to counseling (G = Greeting, A = Ask, T = Tell, H = Help, R = Return) was performed in four 45-min sessions for face-to-face and WhatsApp groups in the pregnancy weeks of 27, 28, 29, and 30. The subjects in the control group received only the routine cares for gestational diabetes. T test, Chi squared test, and ANOVA repeated measurement test were used to analyze the data.

RESULTS

Findings showed a significant difference among the three groups in self-care and quality of life (p = 0.001). There was also a significant difference among the three groups in fasting blood sugar after the intervention (p = 0.005).

CONCLUSION

Self-care counseling, both in the form of face-to-face and on social networks, improved the score of self-care and quality of life as well as glucose tolerance test (GTT) in women with gestational diabetes.

Anemia in diabetes mellitus in Africa: A systematic review and meta-analysis

AIMS

Anemia accelerates chronic complications of diabetes mellitus (DM). We aimed to conduct a systematic review and meta-analysis to estimate the prevalence of anemia among people with DM in Africa.

METHODS

A search of studies was conducted in the main databases (Medline, EMBASE, Scopus, CINAHL, AJOL and Google Scholar) and the reference lists of selected studies. Observational studies that met the eligibility criteria were included in this meta-analysis. There was no limitation in terms of language.

RESULTS

We obtained data from 27 eligible studies, including 5913 patients. The pooled prevalence of anemia was 35% (95% CI: 28%-42%, I2 = 97.7%, p < 0.01). In sub-group analysis, the pooled prevalence was higher in people with diabetic foot lesions (56%, 95% CI: 49%-63%, I2 = 51.04%, p = 0.100) than in the general population of people with diabetes (30%, 95% CI: 23%-37%, I2 = 97.6%, p < 0.01). Pooled prevalence rates were also higher in; males than females (34% vs 31%), type II DM than type I DM (35% vs 26%), and in patients with poor glycemic control compared to those with good glycemic control (33% vs. 22%).

CONCLUSIONS

The prevalence of anemia in DM was high warranting enhanced clinical and public health interventions.

Experiences of Changes in Eating Habits and Eating Behaviors of Women First Diagnosed with Gestational Diabetes

As gestational diabetes, which is increasing steadily around the world, can cause complications in the mother and fetus, it is essential to change eating habits and eating behavior to prevent this. According to the 2020 American Diabetes Association recommendations, the food plan should be designed for the adequate calorie intake to achieve glycemic goals and consequently promote maternal and fetal health. Thus, the following study has used the qualitative theme analysis method to assess what it means for 28 South Korean women, who were diagnosed with gestational diabetes for the first time, to change their eating habits and behaviors. As a result, themes were derived related to reflection on daily life, formation of new relationships in the same group, efforts that must be made, rediscovery of couples, and lifestyles reborn as new roles. Based on the results of the study, it is shown that the study participants recovered the peace in their mental state after the crisis of gestational diabetes to pursue relaxation and ultimately higher quality of life by following the plan to fulfill healthy achievements, such as changing their eating habits and behaviors. Therefore, future research and support measures to help the healthy behaviors should be sought by comprehensively exploring the effects of women's experiences in changing their eating habits and behaviors.

Diet and physical activity in pregnancy to prevent gestational diabetes: a protocol for an individual participant data (IPD) meta-analysis on the differential effects of interventions with economic evaluation

INTRODUCTION

Mothers with gestational diabetes mellitus (GDM) are at increased risk of pregnancy-related complications and developing type 2 diabetes after delivery. Diet and physical activity-based interventions may prevent GDM, but variations in populations, interventions and outcomes in primary trials have limited the translation of available evidence into practice. We plan to undertake an individual participant data (IPD) meta-analysis of randomised trials to assess the differential effects and cost-effectiveness of diet and physical activity-based interventions in preventing GDM and its complications.

METHODS

The International Weight Management in Pregnancy Collaborative Network database is a living repository of IPD from randomised trials on diet and physical activity in pregnancy identified through a systematic literature search. We shall update our existing search on MEDLINE, Embase, BIOSIS, LILACS, Pascal, Science Citation Index, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects and Health Technology Assessment Database without language restriction to identify relevant trials until March 2021. Primary researchers will be invited to join the Network and share their IPD. Trials including women with GDM at baseline will be excluded. We shall perform a one and two stage random-effect meta-analysis for each intervention type (all interventions, diet-based, physical activity-based and mixed approach) to obtain summary intervention effects on GDM with 95% CIs and summary treatment-covariate interactions. Heterogeneity will be summarised using I2 and tau2 statistics with 95% prediction intervals. Publication and availability bias will be assessed by examining small study effects. Study quality of included trials will be assessed by the Cochrane Risk of Bias tool, and the Grading of Recommendations, Assessment, Development and Evaluations approach will be used to grade the evidence in the results. A model-based economic analysis will be carried out to assess the cost-effectiveness of interventions to prevent GDM and its complications compared with usual care.

ETHICS AND DISSEMINATION

Ethics approval is not required. The study is registered on the International Prospective Register of Systematic Reviews (CRD42020212884). Results will be submitted for publication in peer-reviewed journals.

Clinical, bacterial, and inflammatory outcomes of indocyanine green-mediated photodynamic therapy for treating periimplantitis among diabetic patients: A randomized controlled clinical trial

Background This 6-months randomized controlled clinical trial aimed to assess the efficacy of indocyanine green mediated photodynamic therapy (ICG-PDT) as an adjunct to peri‑implant manual debridement (PIMD) versus PIMD alone among Diabetes Mellitus (DM) patients in the treatment of peri‑implantitis. Methods A total of 48 DM patients having 64 implants were treated with either ICG-PDT + PIMD (n = 35 implants) or PIMD alone (n = 29 implants). Clinical (probing depth [PD], bleeding on probing [BOP], and plaque index [PI]) and radiographic (peri‑implant crestal bone loss [PCBL]) peri‑implant variables were recorded. Bacterial species including Porphyromonas gingivalis and Treponema denticola were evaluated from peri‑implant plaque biofilms. Levels of interleukin (IL)-1β and IL-6 were assessed after the collection of peri‑implant sulcular fluid. All the evaluations were carried out at baseline, 3- and 6-months. The significance level was set to p < 0.05. Results All clinical parameters significantly reduced within both treatment groups (P<0.05). Intra-group comparison indicates that there was statistically significant reduction in PD and suppuration for ICG-PDT group (P<0.05). There was a statistically significant difference in the BOP between ICG-PDT and PIMD groups at both follow-up periods (P<0.001). However, there was a significant difference for PD (P = 0.001), suppuration (P = 0.01), and PCBL (P = 0.04) on 6 months follow-up between ICG-PDT and PIMD groups, respectively. Only ICG-PDT showed a significant reduction in P. gingivalis and T. denticola on both 3 months and 6 months follow-up compared to baseline. PIMD showed a statistically significant reduction only on 3 months follow-up compared to baseline. This reduction was maintained for both the species when dental implants were treated with ICG-PDT. However, PIMD failed to maintain this reduction until 6 months. Only at 3 months assessment that both treatment groups showed statistically significant reduction in IL-1β and IL-6 with no significant difference between the groups. Both biomarkers failed to maintain the reduction in both groups and significantly increased levels for IL-1β was noted at 6 months follow up Conclusion Multiple application of indocyanine-green mediated photodynamic therapy resulted in improved clinical and microbial parameters among type 2 DM subjects in the treatment of peri‑implantitis. This clinical trial was registered in the ClinicalTrials.gov Protocol Registration and Results System with registration record number: NCT04833569.

The role of circular RNA circ_0008285 in gestational diabetes mellitus by regulating the biological functions of trophoblasts

BACKGROUND

Circular RNAs (circRNAs) has emerged as vital regulator involved in various diseases. In this study, we identified and investigated the potential circRNAs involved in gestational diabetes mellitus (GDM).

METHODS

High-throughput sequencing was used to collect the plasma circRNAs expression profiles of GDM patients. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) was used to measure the expressions of circ_0008285 and circ_0001173 in the plasma specimens. The Pearson's correlation test was employed to assess the correlation between 2 circRNAs expression and the clinicopathologic data. Two circRNAs expression was verified in high glucose (HG)-induced HTR-8/SVneo cells. MTS, transwell assay was used to evaluate the effects of circ_0008285 expression on HG-induced HTR-8/SVneo cells. The network of circ_0008285 was constructed using cytocape.

RESULTS

In GDM patients, the expression of circ_0008285 was significantly upregulated, while that of circ_0001173 was decreased. Circ_0008285 was significantly correlated with the total cholesterol and LDL-C levels. Circ_0001173 was significantly correlated with glycated hemoglobin. HG promoted the proliferation, invasion, and migration in HTR-8/SVneo cells, while the knockdown of circ_0008285 exerted reverse effects. In addition, network construction exhibited that circ_0008285 had 45 miRNA binding sites, which correlated with 444 mRNA.

CONCLUSIONS

circ_0008285 plays an important role and provides a clue for the usage of therapeutic targets in the development of GDM.

A Review on Research Progress in the Application of Glycosylated Hemoglobin and Glycated Albumin in the Screening and Monitoring of Gestational Diabetes

Glycosylated hemoglobin (HbA1C) and glycated albumin (GA) can be used for blood glucose management of a person with diabetes as a result of their convenience and stability. However, there is no corresponding standard for the application of glycosylated hemoglobin and glycosylated albumin in gestational diabetes mellitus (GDM). In this review, we summarize the published research and discuss three aspects of the significance of HBA1C and GA in GDM patients: screening of gestational diabetes mellitus, blood glucose monitoring and the relationship with pregnancy outcome. At present, studies suggest that HBA1C can be used as a screening indicator for pregnant women, but it cannot completely replace OGTT. HbA1C and GA can be used for blood glucose management in patients with GDM to reduce the incidence of GDM complications. However, the application of HBA1C and GA in GDM still needs more research and clinical practice support.