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Nutrition (Burbank, Los Angeles County,... Nov 2023Lipids and micronutrients play a major role in the pathophysiology of diabetes, and several studies have established the association between lipids and diabetes. The aim...
OBJECTIVES
Lipids and micronutrients play a major role in the pathophysiology of diabetes, and several studies have established the association between lipids and diabetes. The aim of this study was to determine the interaction between lipid profile and micronutrient status with different prediabetes and diabetes diagnosis criteria among school-aged children in India.
METHODS
The data used in this study was from Comprehensive National Nutritional Survey conducted in India from 2016 to 2018. Glycosylated hemoglobin values and fasting blood glucose were used to classify normal, prediabetes, and diabetes. The interaction analysis between the lipid profile and eight micronutrients was conducted using multiple logistic regression analyses, and the predicted probabilities were determined.
RESULTS
Among micronutrients, the highest deficiency was observed for hemoglobin (27%), and in the lipid profile, triacylglycerol was high in 34% of children. The interaction between high total cholesterol and vitamin B deficiency showed the highest average probability for prediabetes (66%). The highest average probability for diabetes was observed from the interaction between normal high-density lipoprotein and vitamin A deficiency (3%).
CONCLUSION
The interaction between micronutrients and lipids suggests complex multidimensional pathways involving folate, vitamin B, ferritin, zinc, hemoglobin, and iodine deficiencies. These interactions should be considered when planning diabetes management strategies.
Topics: Humans; Child; Micronutrients; Prediabetic State; Diabetes Mellitus; Hemoglobins; Vitamin B 12; Vitamins; Lipids; India; Nutritional Status
PubMed: 37611504
DOI: 10.1016/j.nut.2023.112172 -
Drug and Alcohol Dependence Oct 2023Studies have established associations between combustible cigarette use and diabetes. However, there is limited evidence on the association between e-cigarette use or...
The association between e-cigarette use or dual use of e-cigarette and combustible cigarette and prediabetes, diabetes, or insulin resistance: Findings from the National Health and Nutrition Examination Survey (NHANES).
BACKGROUND
Studies have established associations between combustible cigarette use and diabetes. However, there is limited evidence on the association between e-cigarette use or dual use of e-cigarettes and combustible cigarettes and diabetes.
METHOD
With cross-sectional data of 5101 U.S. adults from the National Health and Nutrition Examination Survey, this study examined how e-cigarette use or dual use was related to diabetes, prediabetes, or insulin resistance. The presence of diabetes or prediabetes was determined by fasting glucose level, hemoglobin A1C (HbA1c), or the use of prescribed medications. Insulin resistance was assessed by the homeostatic model (HOMA-IR). The independent association between e-cigarette use or dual use and outcomes was examined using weighted multivariable logistic regression models controlling for potential confounders.
RESULTS
Of all participants, 6.3% were current e-cigarette users and 17.1% were former e-cigarette users. In the fully adjusted model, e-cigarette use was not associated with prediabetes or diabetes (P>0.05). However, former e-cigarette users were 22% (95% CI: 1.00, 1.84) more likely to report higher HOMA-IR (Q vs Q) than never e-cigarette users. Among ever combustible cigarette users, current e-cigarette users and former e-cigarette users were 63% (95% CI: 1.00, 2.91) and 64% (95% CI: 1.04, 2.59) more likely to report higher HOMA-IR than never e-cigarette users, respectively. There was no significant association between dual use and diabetes, prediabetes, or insulin resistance (P>0.05).
CONCLUSIONS
E-cigarette use may be associated with insulin resistance. Our findings may inform future tobacco control policies and longitudinal studies assessing insulin resistance associated with e-cigarette use.
Topics: Adult; Humans; Cross-Sectional Studies; Electronic Nicotine Delivery Systems; Insulin Resistance; Nutrition Surveys; Prediabetic State; Tobacco Products; Vaping; Diabetes Mellitus
PubMed: 37666093
DOI: 10.1016/j.drugalcdep.2023.110948 -
Nutrients May 2024This review aimed to synthesise existing literature on the efficacy of personalised or precision nutrition (PPN) interventions, including medical nutrition therapy... (Review)
Review
Do Precision and Personalised Nutrition Interventions Improve Risk Factors in Adults with Prediabetes or Metabolic Syndrome? A Systematic Review of Randomised Controlled Trials.
This review aimed to synthesise existing literature on the efficacy of personalised or precision nutrition (PPN) interventions, including medical nutrition therapy (MNT), in improving outcomes related to glycaemic control (HbA1c, post-prandial glucose [PPG], and fasting blood glucose), anthropometry (weight, BMI, and waist circumference [WC]), blood lipids, blood pressure (BP), and dietary intake among adults with prediabetes or metabolic syndrome (MetS). Six databases were systematically searched (Scopus, Medline, Embase, CINAHL, PsycINFO, and Cochrane) for randomised controlled trials (RCTs) published from January 2000 to 16 April 2023. The Academy of Nutrition and Dietetics Quality Criteria were used to assess the risk of bias. Seven RCTs ( = 873), comprising five PPN and two MNT interventions, lasting 3-24 months were included. Consistent and significant improvements favouring PPN and MNT interventions were reported across studies that examined outcomes like HbA1c, PPG, and waist circumference. Results for other measures, including fasting blood glucose, HOMA-IR, blood lipids, BP, and diet, were inconsistent. Longer, more frequent interventions yielded greater improvements, especially for HbA1c and WC. However, more research in studies with larger sample sizes and standardised PPN definitions is needed. Future studies should also investigate combining MNT with contemporary PPN factors, including genetic, epigenetic, metabolomic, and metagenomic data.
Topics: Adult; Female; Humans; Male; Middle Aged; Blood Glucose; Glycated Hemoglobin; Lipids; Metabolic Syndrome; Nutrition Therapy; Precision Medicine; Prediabetic State; Randomized Controlled Trials as Topic; Risk Factors; Waist Circumference; Young Adult; Aged
PubMed: 38794717
DOI: 10.3390/nu16101479 -
BMC Endocrine Disorders Jul 2023Persons living with HIV (PLHIV) now live longer due to effective combination antiretroviral therapy. However, emerging evidence indicates that they may be at increased...
BACKGROUND
Persons living with HIV (PLHIV) now live longer due to effective combination antiretroviral therapy. However, emerging evidence indicates that they may be at increased risk for some cardiometabolic disorders. We compared the prevalence of metabolic syndrome (MetS) and its component disorders between persons living with and without HIV in Nigeria.
METHODS
This was a cross-sectional analysis of baseline data from a prospective cohort study of non-communicable diseases among PLHIV along with age- and sex-matched persons without HIV (PWoH) at the University of Abuja Teaching Hospital Nigeria. We collected sociodemographic and clinical data, including anthropometric measures and results of relevant laboratory tests. MetS was defined using a modification of the third report of the National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III) criteria.
RESULTS
Of the 440 PLHIV and 232 PWoH, women constituted 50.5% and 51.3% respectively. The median age of the PLHIV was 45 years while that of the PWoH was 40 years. The prevalence of MetS was 30.7% (95% CI: 26.4%, 35.2%) and 22.8% (95% CI: 17.6%, 28.8%) among the PLHIV and PWoH respectively (P = 0.026). Independent associations were found for older age (P < 0.001), female sex (P < 0.001), family history of diabetes (P < 0.001), family history of hypertension (P = 0.013) and alcohol use (P = 0.015). The prevalence of component disorders for PLHIV versus PWoH were as follows: high blood pressure (22.3% vs 20.3%), prediabetes (33.8% vs 21.1%), diabetes (20.5% vs 8.2%), high triglycerides (24.5% vs 17.2%), low HDL-Cholesterol (51.1% vs 41.4%), and abdominal obesity (38.4% vs 37.1%). Adjusting for age and sex, prediabetes, diabetes, and low HDL-Cholesterol were significantly associated with HIV status. Duration on antiretroviral therapy, protease inhibitor-based regimen, CD4 count, and viral load were associated with some of the disorders mostly in unadjusted analyses.
CONCLUSION
We found a high burden of MetS and its component disorders, with significantly higher prevalence of dysglycemia and dyslipidemia among PLHIV as compared to PWoH. Integration of strategies for the prevention and management of MetS disorders is needed in HIV treatment settings.
Topics: Adult; Female; Humans; Middle Aged; Metabolic Syndrome; HIV; Risk Factors; Prediabetic State; Prevalence; Nigeria; Cross-Sectional Studies; Prospective Studies; HIV Infections; Diabetes Mellitus; Hypertension; Cholesterol
PubMed: 37507703
DOI: 10.1186/s12902-023-01419-x -
Indian Pediatrics Jul 2023The rising trends of obesity, metabolic syndrome and diabetes in adults are worrisome globally. The majority of antecedents to adult non-communicable diseases begin in...
The rising trends of obesity, metabolic syndrome and diabetes in adults are worrisome globally. The majority of antecedents to adult non-communicable diseases begin in childhood. Type 2 diabetes is recognized as one of the major diseases that contribute to the NCD burden in childhood. Recently, the US Preventive Services Task Force (USPSTF) and the International Society for Pediatric and Adolescent Diabetes (ISPAD) released their guidelines on diagnosis and management of prediabetes and diabetes in children targeted screening for youth-onset type 2 diabetes is suggested in at-risk children (obese, positive family history of type 2 diabetes, etc.), while the role of screening asymptomatic children is not substantiated. Obesity and insulin resistance are important risk factors for type 2 diabetes. The cutoffs of fasting plasma glucose for the diagnosis of prediabetes and diabetes are >100 to 125 and ≥126 mg/dL, respectively. This update briefly summarizes the recommendations on screening for youth-onset prediabetes and type 2 diabetes.
Topics: Adult; Humans; Adolescent; Child; Prediabetic State; Diabetes Mellitus, Type 2; Metabolic Syndrome; Risk Factors; Obesity; Mass Screening
PubMed: 37424124
DOI: No ID Found -
Cardiovascular Diabetology Mar 2024In this study, we evaluated the lipidome alterations caused by type 1 diabetes (T1D) and type 2 diabetes (T2D), by determining lipids significantly associated with...
BACKGROUND
In this study, we evaluated the lipidome alterations caused by type 1 diabetes (T1D) and type 2 diabetes (T2D), by determining lipids significantly associated with diabetes overall and in both sexes, and lipids associated with the glycaemic state.
METHODS
An untargeted lipidomic analysis was performed to measure the lipid profiles of 360 subjects (91 T1D, 91 T2D, 74 with prediabetes and 104 controls (CT)) without cardiovascular and/or chronic kidney disease. Ultra-high performance liquid chromatography-electrospray ionization mass spectrometry (UHPLC-ESI-MS) was conducted in two ion modes (positive and negative). We used multiple linear regression models to (1) assess the association between each lipid feature and each condition, (2) determine sex-specific differences related to diabetes, and (3) identify lipids associated with the glycaemic state by considering the prediabetes stage. The models were adjusted by sex, age, hypertension, dyslipidaemia, body mass index, glucose, smoking, systolic blood pressure, triglycerides, HDL cholesterol, LDL cholesterol, alternate Mediterranean diet score (aMED) and estimated glomerular filtration rate (eGFR); diabetes duration and glycated haemoglobin (HbA1c) were also included in the comparison between T1D and T2D.
RESULTS
A total of 54 unique lipid subspecies from 15 unique lipid classes were annotated. Lysophosphatidylcholines (LPC) and ceramides (Cer) showed opposite effects in subjects with T1D and subjects with T2D, LPCs being mainly up-regulated in T1D and down-regulated in T2D, and Cer being up-regulated in T2D and down-regulated in T1D. Also, Phosphatidylcholines were clearly down-regulated in subjects with T1D. Regarding sex-specific differences, ceramides and phosphatidylcholines exhibited important diabetes-associated differences due to sex. Concerning the glycaemic state, we found a gradual increase of a panel of 1-deoxyceramides from normoglycemia to prediabetes to T2D.
CONCLUSIONS
Our findings revealed an extensive disruption of lipid metabolism in both T1D and T2D. Additionally, we found sex-specific lipidome changes associated with diabetes, and lipids associated with the glycaemic state that can be linked to previously described molecular mechanisms in diabetes.
Topics: Male; Female; Humans; Diabetes Mellitus, Type 2; Diabetes Mellitus, Type 1; Lipidomics; Prediabetic State; Cholesterol, HDL; Ceramides; Phosphatidylcholines
PubMed: 38553758
DOI: 10.1186/s12933-024-02202-5 -
Diabetes, Obesity & Metabolism Sep 2023To investigate the associations of diabetes, prediabetes and diabetes duration with chronic obstructive pulmonary disease (COPD) risk and survival in the UK Biobank.
AIM
To investigate the associations of diabetes, prediabetes and diabetes duration with chronic obstructive pulmonary disease (COPD) risk and survival in the UK Biobank.
MATERIALS AND METHODS
We conducted a prospective analysis among 452 680 participants without COPD at baseline using UK Biobank data. Multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated from Cox regression models. The dose-response relationship was explored using restricted cubic splines. A separate survival analysis was conducted for 12 595 patients with incident COPD.
RESULTS
Over a median follow-up of 12.3 years, 12 595 cases of COPD were documented. Compared with the reference group, those with prediabetes and diabetes were associated with an 18% (HR 1.18 [95% CI: 1.13-1.24]) and 35% (HR 1.35 [95% CI: 1.24-1.47]) higher risk of COPD, respectively. Diabetes duration was associated with COPD risk, with multivariable HRs (95% CIs) of 1.23 (1.05-1.44), 1.20 (1.04-1.39) and 1.18 (1.01-1.37) for diabetes duration of 7 years or longer, 3 to less than 7 years, and 1 to less than 3 years versus less than 1 year, respectively. Dose-response analysis revealed a non-linear relationship between diabetes duration and COPD risk. Regarding COPD survival, COPD patients with prediabetes and diabetes had a 9% (HR 1.09 [95% CI: 1.00-1.19]) and 21% (HR 1.21 [95% CI: 1.05-1.41]) higher risk of overall death, respectively. Compared with the cases with a diabetes duration of less than 1 year, those with a diabetes duration of 7 years or longer were associated with a 46% higher risk of overall death (HR 1.46 [95% CI: 1.11-1.92]).
CONCLUSIONS
Our findings indicate that diabetes, prediabetes and a longer diabetes duration are associated with a higher risk of and worse survival for COPD. Future studies are warranted to determine the optimal way of diabetes control that might reduce COPD risk.
Topics: Humans; Prediabetic State; Biological Specimen Banks; Diabetes Mellitus; Pulmonary Disease, Chronic Obstructive; United Kingdom; Risk Factors
PubMed: 37248816
DOI: 10.1111/dom.15142 -
Clinical Cardiology Oct 2023The purpose of this study was to develop and validate a machine learning (ML) based prediction model for the risk of heart failure (HF) in patients with prediabetes or... (Randomized Controlled Trial)
Randomized Controlled Trial
Development and validation of a prediction model based on machine learning algorithms for predicting the risk of heart failure in middle-aged and older US people with prediabetes or diabetes.
BACKGROUND
The purpose of this study was to develop and validate a machine learning (ML) based prediction model for the risk of heart failure (HF) in patients with prediabetes or diabetes.
METHODS
We used 3527 subjects aged 40 years and older with a prior diagnosis of prediabetes or diabetes from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. The search for independent risk variables linked to HF was conducted using univariate and multivariable logistic regression analysis. The 3527 subjects were randomly divided into training set and validation set in a 7:3 ratio. Five ML models were built on the training set using five ML algorithms, including random forest (RF), and then validated on the validation set. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis and Bootstrap resampling method were used to measure the predictive performance of the five ML models.
RESULTS
Multivariate logistic regression analysis showed that age, poverty-to-income ratio, myocardial infarction condition, coronary heart disease condition, chest pain condition, and glucose-lowering medication use were independent predictors of HF. By comparing the performance of the five ML models, the RF model (AUC = 0.978) was the best prediction model.
CONCLUSIONS
The risk of HF in middle-aged and elderly patients with prediabetes or diabetes can be accurately predicted using ML models. The best prediction performance is presented by RF model, which can assist doctors in making clinical decisions.
Topics: Aged; Middle Aged; Humans; Adult; Prediabetic State; Nutrition Surveys; Diabetes Mellitus; Heart Failure; Algorithms; Machine Learning; Risk Factors
PubMed: 37519220
DOI: 10.1002/clc.24104 -
Current Problems in Cardiology Nov 2023This review provides an updated overview of the efficacy and safety of pitavastatin in patients with impaired glucose tolerance (IGT). IGT is a prediabetic state... (Review)
Review
This review provides an updated overview of the efficacy and safety of pitavastatin in patients with impaired glucose tolerance (IGT). IGT is a prediabetic state characterized by elevated blood glucose levels that do not meet the criteria for diabetes. The review explores the potential benefits of pitavastatin in reducing cardiovascular risk and improving lipid profiles in individuals with IGT. It also examines the glycemic effects of pitavastatin, including its impact on fasting blood glucose levels, insulin sensitivity, and beta-cell function. The review highlights the need for individualized treatment approaches, taking into account the patient's overall cardiovascular risk profile and glycemic control needs. While pitavastatin has shown modest improvements in glycemic control, it is not a substitute for lifestyle modifications or standard antidiabetic medications. Future directions for research include long-term follow-up studies, mechanistic investigations, and comparative analyses to further understand the glycemic effects of pitavastatin in IGT. Overall, this narrative review provides valuable insights for healthcare professionals involved in the management of individuals with IGT, emphasizing the importance of a comprehensive approach to reduce cardiovascular risk and optimize glycemic control.
Topics: Humans; Glucose Intolerance; Blood Glucose; Diabetes Mellitus; Prediabetic State; Diabetes Mellitus, Type 2
PubMed: 37473935
DOI: 10.1016/j.cpcardiol.2023.101981 -
Breast Cancer Research and Treatment Feb 2024Breast cancer accounts for up to 30% of cancer cases in women in the US. Diabetes mellitus has been recognized as a risk factor for breast cancer. Some studies have... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Breast cancer accounts for up to 30% of cancer cases in women in the US. Diabetes mellitus has been recognized as a risk factor for breast cancer. Some studies have suggested that prediabetes may also be associated with breast cancer whereas other studies have shown no or an inverse association; thus, we conducted a meta-analysis to assess the risk of breast cancer in prediabetes.
METHODS
We searched PubMed/Medline, EMBASE, Google Scholar, and Scopus to identify studies that reported breast cancer risks in patients having prediabetes compared to normoglycemic patients. Binary random-effects model was used to calculate a pooled odds ratio (OR) with 95% confidence intervals. I statistics were used to assess heterogeneity. Leave-one-out sensitivity analysis and subgroup analyses were performed.
RESULTS
We analyzed 7 studies with 24,586 prediabetic and 224,314 normoglycemic individuals (783 and 5739 breast cancer cases, respectively). Unadjusted odds ratio (OR) for breast cancer was 1.45 (95% CI = 1.14, 1.83); adjusted OR was 1.19 (95% CI = 1.07, 1.34) in prediabetes. Subgroup analysis revealed a higher breast cancer risk in individuals aged less than 60 years (OR = 1.86, 95% CI = 1.39, 2.49) than in those aged 60 years or more (OR = 1.07, 95% CI = 0.97, 1.18). Subgroup analysis by median follow-up length indicated a higher risk of breast cancer for follow-ups of less than or equal to 2 years (OR = 2.34, 95% CI = 1.85, 2.95) than in those of over 10 years (OR = 1.1, 95% CI = 0.99, 1.23) and 6 to 10 years (OR = 1.03, 95% CI = 0.88, 1.21).
CONCLUSIONS
In conclusion, individuals with prediabetes have higher risk of developing breast cancer than those with normoglycemia, especially younger prediabetes patients. These individuals may benefit from early identification, monitoring, and interventions to reverse prediabetes.
Topics: Humans; Female; Prediabetic State; Breast Neoplasms; Diabetes Mellitus; Risk Factors; Risk Assessment
PubMed: 38060076
DOI: 10.1007/s10549-023-07181-x