ABSTRACT
To investigate the associations between isocarbophos and isofenphos with impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and to assess the mediation roles of inflammation cells. There were 2701 participants in the case-control study, including 896 patients with T2DM, 900 patients with IFG, 905 subjects with NGT. Plasma isocarbophos and isofenphos concentrations were measured using gas chromatography and triple quadrupole tandem mass spectrometry. Generalized linear models were used to calculate the relationships between plasma isofenphos and isocarbophos levels with inflammatory factor levels and T2DM. Inflammatory cell was used as mediators to estimate the mediating effects on the above associations. Isocarbophos and isofenphos were positively related with T2DM after adjusting for other factors. The odds ratio (95% confidence interval) (OR (95%CI)) for T2DM was 1.041 (1.015, 1.068) and for IFG was 1.066 (1.009, 1.127) per unit rise in ln-isocarbophos. The prevalence of T2DM increased by 6.4% for every 1 unit more of ln-isofenphos (OR (95% CI): 1.064 (1.041, 1.087)). Additionally, a 100% rise in ln-isocarbophos was linked to 3.3% higher ln-HOMA2IR and a 0.029 mmol/L higher glycosylated hemoglobin (HbA1c) (95% CI: 0.007, 0.051). While a 100% rise in ln-isofenphos was linked to increase in ln-HOMA2 and ln-HOMA2IR of 5.8% and 3.4%, respectively. Furthermore, white blood cell (WBC) and neutrophilic (NE) were found to be mediators in the relationship between isocarbophos and T2DM, and the corresponding proportions were 17.12% and 17.67%, respectively. Isofenphos and isocarbophos are associated with IFG and T2DM in the rural Chinese population, WBC and NE have a significant role in this relationship.
Subject(s)
Diabetes Mellitus, Type 2 , Humans , Middle Aged , Male , Female , Case-Control Studies , Insecticides , Blood Glucose/analysis , Malathion/analogs & derivatives , Organothiophosphorus Compounds , China , Adult , InflammationABSTRACT
INTRODUCTION: Poststroke hyperglycaemia is an independent risk factor for poorer outcomes in patients treated with mechanical thrombectomy (MT) and is associated with a lower probability of functional recovery and higher mortality at 3 months. This study aims to evaluate the association between glucose levels during cerebral reperfusion with MT and functional recovery at 3 months, measured by subcutaneous continuous glucose monitoring (CGM) devices. METHODS: This prospective observational study aims to recruit 100 patients with ischaemic stroke and large anterior circulation vessel occlusion, in whom MT is indicated. CGM will be performed using a Freestyle Libre ProIQ device (FSL-CGM, Abbott Diabetes Care, Alameda, California, USA), which will be implanted on admission to the emergency department, to monitor glucose levels before, during and after reperfusion. The study's primary endpoint will be the functional status at 3 months, as measured by the dichotomised modified Rankin Scale (0-2 indicating good recovery and 3-6 indicating dependency or death). We will analyse expression profiles of microRNA (miRNA) at the time of reperfusion and 24 hours later, as potential biomarkers of ischaemic-reperfusion injury. The most promising miRNAs include miR-100, miR-29b, miR-339, miR-15a and miR-424. All patients will undergo treatment according to current international recommendations and local protocols for the treatment of stroke, including intravenous thrombolysis if indicated. ETHICS AND DISSEMINATION: This study (protocol V.1.1, dated 29 October 2021, code 6017) has been approved by the Clinical Research Ethics Committee of La Paz University Hospital (Madrid, Spain) and has been registered in ClinicalTrials.gov (NCT05871502). Study results will be disseminated through peer-reviewed publications in Open Access format and at conference presentations. TRIAL REGISTRATION NUMBER: NCT05871502.
Subject(s)
Blood Glucose , Ischemic Stroke , Reperfusion Injury , Thrombectomy , Humans , Prospective Studies , Ischemic Stroke/therapy , Ischemic Stroke/surgery , Thrombectomy/methods , Reperfusion Injury/therapy , Blood Glucose/metabolism , Blood Glucose/analysis , Hyperglycemia/complications , Observational Studies as Topic , Male , MicroRNAs , Recovery of Function , FemaleABSTRACT
INTRODUCTION: Sepsis is a life-threatening condition that poses a globally high mortality rate. Identifying risk factors is crucial. Insulin resistance and the TYG index, associated with metabolic disorders, may play a role. This study explores their correlation with mortality in non-diabetic septic patients. METHODS: This retrospective cohort study used data from the MIMIC-IV (version 2.1) database, which includes over 50,000 ICU admissions from 2008 to 2019 at Beth Israel Deaconess Medical Center in Boston. We included adult patients with sepsis who were admitted to the intensive care unit in the study. The primary outcome was to evaluate the ability of TYG to predict death at 28-day of hospital admission in patients with sepsis. RESULTS: The study included 2213 patients with sepsis, among whom 549 (24.8%) died within 28 days of hospital admission. We observed a non-linear association between TYG and the risk of mortality. Compared to the reference group (lower TYG subgroup), the 28-day mortality increased in the higher TYG subgroup, with a fully adjusted hazard ratio of 2.68 (95% CI: 2.14 to 3.36). The area under the curve (AUC) for TYG was 67.7%, higher than for triglycerides alone (AUC = 64.1%), blood glucose (AUC = 62.4%), and GCS (AUC = 63.6%), and comparable to SOFA (AUC = 69.3%). The final subgroup analysis showed no significant interaction between TYG and each subgroup except for the COPD subgroup (interaction P-values: 0.076-0.548). CONCLUSION: In our study, TYG can be used as an independent predictor for all-cause mortality due to sepsis within 28 days of hospitalization.
Subject(s)
Blood Glucose , Critical Illness , Intensive Care Units , Sepsis , Triglycerides , Humans , Sepsis/mortality , Sepsis/blood , Retrospective Studies , Male , Female , Middle Aged , Critical Illness/mortality , Aged , Triglycerides/blood , Blood Glucose/analysis , Intensive Care Units/statistics & numerical data , Risk Factors , Aged, 80 and over , Hospital MortalityABSTRACT
PURPOSE: To assess the effect of Amorphophallus campanulatus tuber (Ac) extract in the protection of diabetic nephropathy in streptozotocin (STZ) induced diabetic nephropathy (DN) rat model. METHODS: Diabetes was induced with STZ (60 mg/kg, i.p.), and DN was confirmed after six weeks of STZ administration with the estimation of kidney function test. Further rats were treated with Ac 250 and 500 mg/kg p.o. for next four week. Oxidative stress and level of inflammatory cytokines were estimated in the kidney tissue of DN rats. Histopathology of kidney tissue was performed using hematoxylin and eosin staining. RESULTS: There was improvement in the body weight of Ac treated groups than DN group of rats. Blood glucose level was observed to be reduced in Ac treated groups than DN group on 42nd and 70th day of protocol. Treatment with Ac ameliorated the altered level of kidney function tests (creatinine and BUN), enzymes of liver function (aspartate aminotransferase and alanine aminotransferase), and lipid profile in the serum of DN rats. Oxidative stress parameters (malondialdehyde and reactive oxygen species enhances and reduction in the level of glutathione and superoxide dismutase) and inflammatory cytokines such as interleukin-6, tumour necrosis factor-α, and monocyte chemoattractant protein-1 reduces in the tissue of Ac treated group than DN group. Treatment with Ac also attenuates the altered histopathological changes in the kidney tissue of DN rats. CONCLUSIONS: The report suggests that Ac protects renal injury in DN rats by regulating inflammatory cytokines and oxidative stress.
Subject(s)
Diabetes Mellitus, Experimental , Diabetic Nephropathies , Oxidative Stress , Plant Extracts , Tumor Necrosis Factor-alpha , Animals , Oxidative Stress/drug effects , Diabetic Nephropathies/drug therapy , Diabetic Nephropathies/prevention & control , Plant Extracts/pharmacology , Plant Extracts/therapeutic use , Diabetes Mellitus, Experimental/complications , Diabetes Mellitus, Experimental/drug therapy , Male , Streptozocin , Rats , Rats, Wistar , Kidney/drug effects , Kidney/pathology , Blood Glucose/drug effects , Blood Glucose/analysis , Disease Models, Animal , Reproducibility of Results , Plant Tubers/chemistryABSTRACT
An increasing number of studies have reported the close relation of the hemoglobin glycation index (HGI) with metabolism, inflammation, and disease prognosis. However, the prognostic relationship between the HGI and patients with sepsis remains unclear. Thus, this study aimed to analyze the association between the HGI and all-cause mortality in patients with sepsis using data from the MIMIC-IV database. In this study, 2605 patients with sepsis were retrospectively analyzed. The linear regression equation was established by incorporating glycated hemoglobin (HbA1c) and fasting plasma glucose levels. Subsequently, the HGI was calculated based on the difference between the predicted and observed HbA1c levels. Furthermore, the HGI was divided into the following three groups using X-tile software: Q1 (HGI ≤ - 0.50%), Q2 (- 0.49% ≤ HGI ≤ 1.18%), and Q3 (HGI ≥ 1.19%). Kaplan-Meier survival curves were further plotted to analyze the differences in 28-day and 365-day mortality among patients with sepsis patients in these HGI groups. Multivariate corrected Cox proportional risk model and restricted cubic spline (RCS) were used. Lastly, mediation analysis was performed to assess the factors through which HGI affects sepsis prognosis. This study included 2605 patients with sepsis, and the 28-day and 365-day mortality rates were 19.7% and 38.9%, respectively. The Q3 group had the highest mortality risk at 28 days (HR = 2.55, 95% CI: 1.89-3.44, p < 0.001) and 365 days (HR = 1.59, 95% CI: 1.29-1.97, p < 0.001). In the fully adjusted multivariate Cox proportional hazards model, patients in the Q3 group still displayed the highest mortality rates at 28 days (HR = 2.02, 95% CI: 1.45-2.80, p < 0.001) and 365 days (HR = 1.28, 95% CI: 1.08-1.56, p < 0.001). The RCS analysis revealed that HGI was positively associated with adverse clinical outcomes. Finally, the mediation effect analysis demonstrated that the HGI might influence patient survival prognosis via multiple indicators related to the SOFA and SAPS II scores. There was a significant association between HGI and all-cause mortality in patients with sepsis, and patients with higher HGI values had a higher risk of death. Therefore, HGI can be used as a potential indicator to assess the prognostic risk of death in patients with sepsis.
Subject(s)
Glycated Hemoglobin , Sepsis , Humans , Sepsis/mortality , Sepsis/blood , Female , Male , Middle Aged , Retrospective Studies , Prognosis , Aged , Glycated Hemoglobin/analysis , Kaplan-Meier Estimate , Blood Glucose/analysis , Proportional Hazards Models , Survival Analysis , Aged, 80 and overABSTRACT
BACKGROUND: Insulin resistance (IR) has been linked to the development of gout. The triglyceride glycemic (TyG) index is a useful biomarker of IR, and the evidences between TyG and gout are limited. Therefore, this study aimed to examine the association between the TyG index and gout in the United States (U.S). METHODS: The cross-sectional study was conducted among adults with complete TyG index and gout data in the 2007-2017 National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated as fasting triglycerides (mg/dl) * fasting glucose (mg/dl)/2. Gout was assessed by self-report questionnaire (MCQ160n). Weighted chi-squared and weighted Student's t-test were used to assess group differences. Weighted multivariable logistic regression analysis, subgroup analysis, and interaction tests were used to examine the TyG index and gout association. RESULTS: The final participants were 11,768; 5910 (50.32%) were female, 7784 (73.26%) were 18-60 years old, 5232 (69.63%) were white, and 573 (5.12%) had gout. After adjusting for all covariates, the TyG index was positively associated with gout; each unit increase in TyG index was associated with 40% higher odds of gout (odds ratio (OR), 1.40; 95% CI: 1.82-2.66; p < 0.0001). Participants in the highest TyG index tertile group were at high risk of gout (odds ratio (OR), 1.64; 95% CI: 1.06-2.54, p = 0.03) versus those in the lowest tertile group. Interaction tests showed no significant effect of age, race, marital status, PIR level, education, BMI, smoking status, drinking status, hypertension, and DM on this association between TyG index and gout (p for interaction > 0.05). CONCLUSIONS: In this large cross-sectional study, our results suggested that a higher TyG index was associated with an increased likelihood of gout in U.S. adults. Our findings highlight that the TyG index is a reliable biomarker of IR; management of IR among adults may prevent or alleviate the development of gout; meanwhile, the TyG index may be a simple and cost-effective method to detect gout.
Subject(s)
Glycemic Index , Gout , Nutrition Surveys , Triglycerides , Humans , Gout/blood , Gout/epidemiology , Female , Male , Middle Aged , Adult , Cross-Sectional Studies , Triglycerides/blood , United States/epidemiology , Young Adult , Adolescent , Insulin Resistance , Biomarkers/blood , Blood Glucose/analysis , Risk FactorsABSTRACT
Introduction: To explore the distribution of Isthmin-1 (ISM1) level and its association with isolated post-challenge hyperglycemia (IPH). Methods: A total of 522 participants without a history of diabetes were invited to attend a standard 75g 2-h oral glucose tolerance test (OGTT), and 71 subjects were further invited for a 3-h oral minimal model test. Insulin sensitivity and ß-cell function were evaluated using both HOMA and estimated from OGTT. Circulating ISM1 levels were determined by a commercially available ELISA kit. Results: A total of 76 (14.6%) participants were diagnosed as IPH, accounting for 61.3% of the newly diagnosed diabetes. ISM1 levels were significantly higher in men than in women (1.74 ng/mL versus 0.88 ng/mL). The inverse correlation between ISM1 and ß-cell function and IPH was only significant in men. After multivariate adjustment, per unit increment in ISM1 was associated with 0.68-fold (95% CI: 0.49-0.90) reduced odds ratio (OR) of IPH in men. Compared to men with the lowest ISM1 levels, the adjusted OR of IPH with the highest ISM1 levels decreased by 73% (95% CI: 0.11-0.61). Moreover, incorporation of ISM1 into the New Chinese Diabetes Risk Score (NCDRS) model yielded a substantial improvement in net reclassification improvement of 58% (95% CI: 27%-89%) and integrated discrimination improvement of 6.4% (95% CI: 2.7%-10.2%) for IPH. Conclusions: ISM1 was significantly and independently associated with IPH, and serves as a feasible biomarker for the early identification of men with high risk of IPH.
Subject(s)
Blood Glucose , Glucose Tolerance Test , Hyperglycemia , Humans , Male , Female , Hyperglycemia/blood , Middle Aged , Blood Glucose/analysis , Blood Glucose/metabolism , Adult , Sex Factors , Biomarkers/blood , Insulin Resistance , AgedABSTRACT
BACKGROUND: The link between insulin resistance and endometriosis is not well established. The triglyceride-glucose (TyG) index serves as a straightforward and economical indicator of insulin resistance. This study examines the link between the TyG index and the prevalence of endometriosis in a U.S. METHODS: This cross-sectional study analyzed data from the NHANES conducted between 1999 and 2006. Reproductive health was assessed through questionnaires, and the TyG index was derived from fasting triglyceride and glucose measurements. Weighted logistic regression models were used to analyze the relationship between the TyG index and endometriosis. Restricted cubic spline (RCS) curves explored the linear relationship, while stratified and sensitivity analyses assessed potential interactions and the robustness of the findings. RESULTS: The study included 2,346 women, with 176 diagnosed with endometriosis and 2,170 without. Women with endometriosis exhibited an elevated TyG index compared to those without the condition. The weighted logistic regression analysis revealed that the TyG index is an independent risk factor for endometriosis (OR = 1.58, 95% CI 1.17-2.14, p = 0.004). RCS analysis indicated a significant positive linear association between the TyG index and endometriosis, with a turning point at 8.51. Subgroup analysis indicated a stronger association in certain populations. The post-propensity score matching analysis confirmed the robustness of these findings. CONCLUSION: In the U.S. population, a higher TyG index is positively and linearly associated with endometriosis prevalence. Effective management of blood glucose and lipid levels may reduce the prevalence of endometriosis.
Subject(s)
Blood Glucose , Endometriosis , Insulin Resistance , Triglycerides , Humans , Female , Endometriosis/blood , Endometriosis/epidemiology , Cross-Sectional Studies , Triglycerides/blood , Adult , Blood Glucose/analysis , Risk Factors , Prevalence , Middle Aged , United States/epidemiology , Logistic Models , Nutrition Surveys , Young AdultABSTRACT
The effect of systemic inflammation, represented by high-sensitivity C-reactive protein (hsCRP), on triglyceride glucose (TyG) index-associated cardiovascular risk in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) has not yet been determined. This study was a retrospective analysis of a single-center prospective registry and finally included 1701 patients (age, 60 ± 10 years; male, 76.7%). The primary endpoint was defined as major adverse cardiovascular events (MACE), including cardiovascular mortality, non-fatal stroke, and non-fatal myocardial infarction. In the multivariate COX regression model that included the GRACE risk score, higher TyG index was significantly associated with a greater incidence of MACE in patients with hsCRP levels less than 2 mg/L but not 2 mg/L or more (P for interaction = 0.039). Each unit increase in the TyG index was independently associated with a 52% increased risk of MACE only in patients with hsCRP levels less than 2 mg/L (P = 0.021). After adjustment for other confounding factors, including the GRACE risk score, compared with those in the group of TyG index < 8.62 and hsCRP < 2 mg/L, patients in the group of TyG index ≥ 8.62 and hsCRP ≥ 2 mg/L had a 3.9 times higher hazard ratio for developing MACE. The addition of both TyG index and hsCRP had an incremental effect on the predictive ability of the GRACE risk score-based prognostic model for MACE (C-statistic: increased from 0.631 to 0.661; cNRI: 0.146, P = 0.012; IDI: 0.009, P < 0.001). In conclusion, there was a significant interaction between the TyG index and hsCRP for the risk of MACE, and the TyG index was reliably and independently associated with MACE only when hsCRP levels were less than 2 mg/L. Furthermore, high TyG index and high hsCRP levels synergistically increased the risk of MACE, suggesting that the prognostic value of TyG index combined with hsCRP might be promising in patients with ACS undergoing PCI.
Subject(s)
Acute Coronary Syndrome , C-Reactive Protein , Percutaneous Coronary Intervention , Triglycerides , Humans , Male , Acute Coronary Syndrome/blood , Middle Aged , C-Reactive Protein/metabolism , C-Reactive Protein/analysis , Percutaneous Coronary Intervention/adverse effects , Female , Aged , Triglycerides/blood , Retrospective Studies , Risk Factors , Blood Glucose/analysis , Blood Glucose/metabolism , Biomarkers/bloodABSTRACT
Glucose is a central metabolic compound used as an energy source across all animal taxa. There is high interspecific variation in glucose concentration between taxa, the origin and the consequence of which remain largely unknown. Nutrition may affect glucose concentrations because carbohydrate content of different food sources may determine the importance of metabolic pathways in the organism. Birds sustain high glucose concentrations that may entail the risks of oxidative damage. We collected glucose concentration and life-history data from 202 bird species from 171 scientific publications, classified them into seven trophic guilds and analysed the data with a phylogenetically controlled model. We show that glucose concentration is negatively associated with body weight and is significantly associated with trophic guilds with a moderate phylogenetic signal. After controlling for allometry, glucose concentrations were highest in carnivorous birds, which rely on high rates of gluconeogenesis to maintain their glycaemia, and lowest in frugivorous/nectarivorous species, which take in carbohydrates directly. However, trophic guilds with different glucose concentrations did not differ in lifespan. These results link nutritional ecology to physiology and suggest that at the macroevolutionary scale, species requiring constantly elevated glucose concentrations may have additional adaptations to avoid the risks associated with high glycaemia.
Subject(s)
Birds , Blood Glucose , Phylogeny , Animals , Birds/physiology , Blood Glucose/analysis , Food ChainABSTRACT
BACKGROUND: Uncontrolled type 2 diabetes mellitus (UT2DM) and its associated consequences nowadays have been a global health crisis, especially for adults. Iron has the property to oxidize and reduce reversibly, which is necessary for metabolic processes and excess accumulation of iron indicated by serum ferritin levels could have a significant impact on the pathophysiology of T2DM via generation of reactive oxygen species (ROS). However, no conclusive evidence existed about the association of serum ferritin with the state of glycemic control status. Therefore, this study aimed to evaluate serum ferritin levels and associated factors in uncontrolled T2DM patients and compare them with those of controlled T2DM and non-diabetic control groups. METHODS: A hospital-based comparative cross-sectional study was conducted among conveniently selected 156 study participants, who were categorized into three equal groups of uncontrolled T2DM, controlled T2DM, and non-diabetic control groups from October 2 to December 29, 2023 at St. Paul's Hospital Millennium Medical College. A pre-tested structured questionnaire was used to collect socio-demographic and diabetes-related information. The laboratory tests were done using an automated chemistry analyzer and IBM-SPSS statistical software (version-27) was utilized for data entry and analysis with a significance level of p < 0.05. RESULT: The mean serum ferritin level was noticeably higher in uncontrolled T2DM patients as compared to controlled T2DM and control groups (p < 0.001). It was significantly correlated with HbA1c [r = 0.457, p < 0.001], fasting blood sugar (FBs) [r = 0.386, p < 0.001], serum iron [r = 0.430, p < 0.001], and systolic blood pressure (SBP) [r = 0.195, p = 0.047] in T2DM patients. A multivariate logistic regression model revealed that a rise in HbA1c (AOR = 3.67, 95% CI(1.50-8.98), serum iron (AOR = 1.02, 95% CI(1.01-1.04), male gender (AOR = 0.16, 95% CI(0.05-0.57) and being on oral hypoglycemic agent (OHA) monotherapy (AOR = 0.26, 95% CI(0.07-0.95) were key associated factors for the elevated serum ferritin among T2DM patients. CONCLUSION: The present study demonstrated that T2DM patients had elevated serum ferritin levels which might be related to the existence of long-term hyperglycaemia and that serum ferritin had a significant positive association with HbA1c and FBs, implying that it could be used as an additional biomarker to predict uncontrolled T2DM patients.
Subject(s)
Diabetes Mellitus, Type 2 , Ferritins , Humans , Diabetes Mellitus, Type 2/blood , Ferritins/blood , Cross-Sectional Studies , Male , Female , Middle Aged , Follow-Up Studies , Adult , Blood Glucose/analysis , Blood Glucose/metabolism , Glycated Hemoglobin/analysis , Biomarkers/blood , Case-Control Studies , Prognosis , AgedABSTRACT
Objective: To observe the clinical efficacy and safety of the Qingre Lishi decoction in treating of newly diagnosed overweight and obese patients with type 2 diabetes mellitus (T2DM) from an evidence-based medical perspective. Methods: 70 cases of overweight and obese patients with newly diagnosed T2DM treated in the outpatient clinic of the Department of Endocrinology of the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from December 2021 to November 2022 were selected, of which 35 cases were in the observation group and 35 cases were in the control group. The observation group was treated with the Qingre Lishi decoction add lifestyle intervention, and the control group was treated with lifestyle intervention only. We compared and analyzed the fasting blood glucose (FPG), 2-hour postprandial glucose (2hPG), the occurrence of adverse reactions, and the related indexes provided by wearing the CGM device during the observation period of the patients in the two groups. Results: 53 participants completed the clinical trial. In relation of glycemic control, a decreasing trend has shown in both groups, with the decreases in FPG, 2hPG, eHbA1c, and MG in the observation group being higher than those in the control group (P<0.05). In regard to blood glucose attainment, at the 28d, the attainment rate of patients in the observation group with TIR>80% was 87.10%, and the magnitude of changes in the rise of TIR and the fall of TAR was significantly better than that in the control group (P<0.01). In terms of blood glucose fluctuation, CV and SD of the patients in the observation group decreased compared with the 0d; the magnitude of daytime blood glucose fluctuation was significantly alleviated compared with that of the control group. The degree of decrease in LAGE, MAGE, and MODD was significantly lower than that of the control group (P<0.01). Conclusion: The Qingre Lishi decoction can effectively improve the hyperglycemic condition of overweight and obese patients with newly diagnosed T2DM. It can reduce blood glucose, alleviate blood glucose fluctuations, reduce the incidence of hypoglycemia, and improve patients' adherence and self-confidence in controlling blood glucose. Clinical Trial Registration: https://itmctr.ccebtcm.org.cn/, identifier ITMCTR2024000006.
Subject(s)
Blood Glucose , Continuous Glucose Monitoring , Diabetes Mellitus, Type 2 , Drugs, Chinese Herbal , Obesity , Adult , Aged , Female , Humans , Male , Middle Aged , Blood Glucose/analysis , Blood Glucose/drug effects , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Drugs, Chinese Herbal/therapeutic use , Glycemic Control/methods , Hypoglycemic Agents/therapeutic use , Obesity/drug therapy , Obesity/blood , Obesity/complications , Treatment OutcomeABSTRACT
BACKGROUND: Metabolic score for insulin resistance (METS-IR) is a surrogate index to estimate insulin sensitivity. The aim of this study was to examine the association between METS-IR and regression to normoglycemia in Chinese adults with prediabetes. METHODS: A total of 15,415 Chinese adults with prediabetes defined by their fasting blood glucose were included in this retrospective study. The association between METS-IR and regression to normoglycemia from prediabetes was evaluated using the Cox proportional hazards regression model. A Cox proportional hazards regression with cubic spline function was performed to explore the nonlinear association between METS-IR and regression to normoglycemia. Kaplan-Meier curves was used to describe the probability of regression to normoglycemia from prediabetes. RESULTS: In multivariate Cox proportional hazards regression analyses, the increase in METS-IR was independently associated with a reduced probability of regression to normoglycemia from prediabetes (all p < 0.01 in models 1-3). A nonlinear association between METS-IR and the probability of regression to normoglycemia was observed, with an inflection point of 49.3. The hazard ratio on the left side of the inflection point was 0.965 (95% CI 0.953-0.976). Subgroup analyses demonstrated the robustness of our findings. CONCLUSION: This study demonstrated a negative and nonlinear association between METS-IR and regression to normoglycemia in Chinese adults with prediabetes. When METS-IR is below 49.3, reducing METS-IR could significantly increase the probability of regression to normoglycemia from prediabetes.
Subject(s)
Blood Glucose , Insulin Resistance , Prediabetic State , Humans , Prediabetic State/epidemiology , Prediabetic State/metabolism , Male , Female , Retrospective Studies , Middle Aged , Adult , Blood Glucose/metabolism , Blood Glucose/analysis , China/epidemiology , Proportional Hazards Models , Aged , Asian People , East Asian PeopleABSTRACT
AIMS: To evaluate the external validity of Finnish diabetes risk score (FINDRISC) and Latin American FINDRISC (LAFINDRISC) for undiagnosed dysglycemia in hospital health care workers. METHODS: We carried out a cross-sectional study on health workers without a prior history of diabetes mellitus (DM). Undiagnosed dysglycemia (prediabetes or diabetes mellitus) was defined using fasting glucose and two-hour oral glucose tolerance test. LAFINDRISC is an adapted version of FINDRISC with different waist circumference cut-off points. We calculated the area under the receptor operational characteristic curve (AUROC) and explored the best cut-off point. RESULTS: We included 549 participants in the analysis. The frequency of undiagnosed dysglycemia was 17.8%. The AUROC of LAFINDRISC and FINDRISC were 71.5% and 69.2%; p = 0.007, respectively. The optimal cut-off for undiagnosed dysglycemiaaccording to Index Youden was ≥ 11 in LAFINDRISC (Sensitivity: 78.6%; Specificity: 51.7%) and ≥12 in FINDRISC (Sensitivity: 70.4%; Specificity: 53.9%). CONCLUSION: The discriminative capacity of both questionnaires is good for the diagnosis of dysglycemia in the healthcare personnel of the María Auxiliadora hospital. The LAFINDRISC presented a small statistical difference, nontheless clinically similar, since there was no difference by age or sex. Further studies in the general population are required to validate these results.
Subject(s)
Diabetes Mellitus , Mass Screening , Humans , Female , Male , Adult , Peru/epidemiology , Middle Aged , Cross-Sectional Studies , Mass Screening/methods , Diabetes Mellitus/diagnosis , Diabetes Mellitus/epidemiology , Diabetes Mellitus/blood , Health Personnel , Glucose Tolerance Test , Blood Glucose/analysis , Risk Factors , Prediabetic State/diagnosis , Prediabetic State/blood , Prediabetic State/epidemiologyABSTRACT
INTRODUCTION: The efficacy of myo-inositol supplementation to treat gestational diabetes remains controversial, and this meta-analysis aims to study the efficacy of myo-inositol supplementation on metabolic status for gestational diabetes. METHODS: Several databases including PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases were systemically searched from inception to October 2021, and we included the randomized controlled trials (RCTs) assessing the effect of myo-inositol supplementation on the outcomes of women with gestational diabetes. Gestational diabetes was diagnosed if at least one threshold of glucose concentration was exceeded and the three thresholds included 92, 180, and 153 mg/dl for 0, 1 and 2 h, respectively, after a 75-g, 2-h glucose tolerance test. RESULTS: Four RCTs and 317 patients were included in this meta-analysis. Compared with routine treatment in pregnant women with gestational diabetes, myo-inositol supplementation could lead to remarkably decreased treatment requirement with insulin (odd ratio [OR] = 0.24; 95% confidence interval [CI] = 0.11-0.52; p = .0003) and homeostasis model assessment of insulin resistance (HOMA-IR, standard mean difference [SMD]= -1.18; 95% CI= -1.50 to -0.87; p < .00001), but demonstrated no obvious impact on birth weight (SMD= -0.11; 95% CI= -0.83 to 0.61 g; p = .76), cesarean section (OR = 0.82; 95% CI = 0.46-1.47; p = .51) or the need of NICU (OR = 0.88; 95% CI = 0.03-26.57; p = .94). CONCLUSIONS: Myo-inositol supplementation is effective to decrease the need of insulin treatment and HOMA-IR for gestational diabetes.
Subject(s)
Diabetes, Gestational , Inositol , Randomized Controlled Trials as Topic , Humans , Diabetes, Gestational/drug therapy , Diabetes, Gestational/metabolism , Diabetes, Gestational/diet therapy , Inositol/therapeutic use , Pregnancy , Female , Insulin Resistance , Dietary Supplements , Insulin/therapeutic use , Blood Glucose/metabolism , Blood Glucose/analysisABSTRACT
INTRODUCTION: There is little published information on type 1 diabetes (T1D) in children in Yemen. We aimed to identify the clinical characteristics, biomarkers and diabetic ketoacidosis (DKA) at diagnosis of T1D among children and adolescents in a diabetes centre in Sana'a, Yemen. METHODS: A total of 485 children and adolescents aged ≤18 years diagnosed with T1D during the period 2010-2020 were included in the study. The variables investigated were demographic and clinical characteristics, biomarkers, subtypes of T1D, and the risk factors for severe DKA at diagnosis. RESULTS: At diagnosis, children aged <10 years compared with those aged ≥10 years had higher mean plasma glucose (p<0.001) and mean HbA1c (p=0.026), and lower mean C-peptide (pmol/L) (p=0.019), and a higher frequency of DKA at diagnosis than older children (p<0.001). A majority of the study population (383, 79%) presented in DKA . Children aged <10 years presenting with DKA had significantly longer median appraisal interval (p=0.009) and median total diagnosis interval (p=0.025), and significantly lower mean C-peptide (p=0.001) as compared with their peers without DKA. The prevalence of autoantibody-negative 'idiopathic' T1D was 36 (32%) of the total number tested for autoantibody and familial T1D 61 (12.6%) of all the study population. CONCLUSION: In Yemen children aged <10 years with new-onset T1D frequently faced the challenge of a delay in diagnosis and treatment initiation, with severe hyperglycaemia and a higher risk of DKA at diagnosis.
Subject(s)
Biomarkers , C-Peptide , Diabetes Mellitus, Type 1 , Diabetic Ketoacidosis , Humans , Yemen/epidemiology , Diabetic Ketoacidosis/epidemiology , Diabetic Ketoacidosis/diagnosis , Diabetic Ketoacidosis/blood , Child , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/diagnosis , Male , Adolescent , Female , Biomarkers/blood , C-Peptide/blood , Child, Preschool , Glycated Hemoglobin/analysis , Glycated Hemoglobin/metabolism , Risk Factors , Blood Glucose/analysis , Blood Glucose/metabolism , Retrospective StudiesABSTRACT
BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding modeling the combined effects of diet and exercise for optimal glucose prediction. A notable challenge is the propensity for observational patient datasets from uncontrolled environments to overfit due to skewed feature distributions of target behaviors; for instance, diabetic patients seldom engage in high-intensity exercise post-meal. METHODS: In this study, we introduce a unique application of Bayesian transfer learning for postprandial glucose prediction using randomized controlled trial (RCT) data. The data comprises a time series of three key variables: continuous glucose levels, exercise expenditure, and carbohydrate intake. For building the optimal model to predict postprandial glucose levels we initially gathered balanced training data from RCTs on healthy participants by randomizing behavioral conditions. Subsequently, we pretrained the model's parameter distribution using RCT data from the healthy cohort. This pretrained distribution was then adjusted, transferred, and utilized to determine the model parameters for each patient. RESULTS: The efficacy of the proposed method was appraised using data from 68 gestational diabetes mellitus (GDM) patients in uncontrolled settings. The evaluation underscored the enhanced performance attained through our method. Furthermore, when modeling the joint impact of diet and exercise, the synergetic model proved more precise than its additive counterpart. CONCLUSION: An innovative application of the transfer-learning utilizing randomized controlled trial data can improve the challenging modeling task of postprandial glucose prediction for GDM patients, integrating both dietary and exercise behaviors. For more accurate prediction, future research should focus on incorporating the long-term effects of exercise and other glycemic-related factors such as stress, sleep.
Subject(s)
Bayes Theorem , Blood Glucose , Exercise , Machine Learning , Postprandial Period , Humans , Blood Glucose/metabolism , Blood Glucose/analysis , Female , Postprandial Period/physiology , Exercise/physiology , Diet , Pregnancy , Diabetes, Gestational/blood , Diabetes, Gestational/metabolism , AdultABSTRACT
Objective: This study aims to conduct a comprehensive investigation of the serum amino acid profiles of individuals with type 2 diabetes (T2D) and its related complications. Methods: Patients with T2D were enrolled in this study. Sixteen kinds of common amino acids in the fasting circulating were assessed through liquid chromatography-mass spectrometry (LC-MS). Subsequently, correlation, regression analyses, and receiver operating characteristic (ROC) curves were conducted to assess the associations between amino acids and clinical indicators. Results: Thirteen different kinds of amino acids were identified in diabetic patients, as compared with normal controls. The Glutamine/Glutamate (Gln/Glu) ratio was negatively correlated with BMI, HbA1c, serum uric acid, and the triglyceride-glucose (TyG) index, while it was positively correlated with HDL-C. Logistic regression analyses indicated that Gln/Glu was a consistent protective factor for both T2D (OR = 0.65, 95% CI 0.50-0.86) and obesity (OR = 0.79, 95% CI 0.66-0.96). The ROC curves demonstrated that Gln/Glu, proline, valine, and leucine provided effective predictions for diabetes risk, with Gln/Glu exhibiting the highest AUC [0.767 (0.678-0.856)]. In patients with T2D, Gln was the only amino acid that displayed a negative correlation with HbA1c (r = -0.228, p = 0.017). Furthermore, HOMA-ß exhibited a negative correlation with Glu (r = -0.301, p = 0.003) but a positive correlation with Gln/Glu (r = 0.245, p = 0.017). Notably, logistic regression analyses revealed an inverse correlation of Gln/Glu with the risk of diabetic kidney disease (OR = 0.74, 95% CI 0.55-0.98) and a positive association with the risk of diabetic retinopathy (OR = 1.53, 95% CI 1.08-2.15). Conclusion: The Gln/Glu ratio exhibited a significant association with diabetes, common metabolic parameters, and diabetic complications. These findings shed light on the pivotal role of Gln metabolism in T2D and its associated complications.
Subject(s)
Diabetes Mellitus, Type 2 , Glutamic Acid , Glutamine , Humans , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Glutamine/blood , Male , Female , Middle Aged , Glutamic Acid/blood , Aged , Case-Control Studies , Biomarkers/blood , Adult , Blood Glucose/analysis , Blood Glucose/metabolism , Diabetes Complications/bloodABSTRACT
INTRODUCTION: High blood glucose levels in individuals with diabetes mellitus (DM) can lead to various complications, highlighting the need for adequate management. Diabetes Self-Management Education has been proven effective in controlling glycaemic events and preventing DM complications. Telenursing is a promising method for educating DM patients. This study aimed to determine the effectiveness of cell phone-based telenursing on fasting blood glucose (FBG) levels of people with DM. MATERIALS AND METHODS: This study used a quasiexperimental on 84 participants with DM, which was randomised into intervention (n=42) and control (n=42) groups. The intervention group was provided with health education through booklets and cell phone-based telenursing for four sessions and four sessions of follow-up, while the control group was given health education according to standards from the health centre (Puskesmas). All respondents had their FBG levels checked before, one month, and two months follow-up. The data were analysed using paired sample t-tests, independent samples t-test, and repeated ANOVA. RESULTS: The mean FBG measurements in the intervention group prior to treatment were 210.88mg/dL, decreased to 173.21mg/dL in the first month, and 177.48mg/dL in the second month (follow-up), while the control group started at 206.36mg/dL, decreased to 182.55mg/dL in the first month, and 191.64mg/dL in the second month. The difference between the two groups was not significant in both the intervention and control groups, p=0.181. CONCLUSION: Health education through mobile phone-based telenursing and standard health centres both affect FBG levels of people with DM.