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This review delves into the effects of autoimmune conditions like rheumatoid arthritis, inflammatory disorders such as irritable bowel syndrome, cardiovascular disease, diabetes, infectious ailments like human immunodeficiency virus, and their medications on periodontal therapy outcomes. It also explores the influence of hormones. Understanding these systemic factors is crucial for optimizing periodontal health and treatment efficacy. The review underscores the necessity of considering these variables in periodontal care. Other vital systemic factors are addressed elsewhere in this special edition.

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Introduction: Migraine, a debilitating neurological disorder characterized by recurrent headaches, affects over 1.1 billion individuals globally. Diabetes mellitus (DM), a chronic metabolic condition marked by high blood sugar levels, affects 463 million individuals according to the International Diabetes Federation. Our study aimed to evaluate the association between migraine and DM and to identify several demographic, socioeconomic, and lifestyle factors, as well as medical and psychiatric comorbidities, associated with migraine among individuals with DM. Methods: This cross-sectional study is based on data from the European Health Interview Surveys conducted in 2009, 2014, and 2019 in Hungary. Pearson's chi-squared tests and multiple logistic regression models were used to assess associations. Statistical significance was set at p<0.05. Results: In multiple regression analyses, we found no significant association between DM and migraine after adjusting for socioeconomic status, various health conditions, and lifestyle factors (OR=0.84, 95% CI: 0.66-1.06). However, adults with DM who had comorbid conditions including stroke (OR=2.08, 95% CI: 1.06-4.08), low back pain (OR=3.52, 95% CI: 2.13-5.84), and depression (OR=4.91, 95% CI: 2.84-8.47) were significantly more likely to suffer from migraine. Discussion: Our study found no significant difference in the prevalence of migraine among adults with and without diabetes mellitus. However, several comorbidities were found to be significantly associated with migraine occurrence in those with DM. Thus, the study's results highlight the need for proper management of diabetes, especially in terms of comorbidities, to mitigate migraine risk factors and improve patient outcomes.

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BACKGROUND: Little is known about the underlying factors contributing to unfavourable clinical outcomes in patients with diabetes mellitus (DM) complicated by new-onset acute myocardial infarction (AMI). The aim of this study was to investigate the impact of DM on the pathophysiologic features and prognosis of patients with new-onset AMI following successful revascularization by utilizing cardiac magnetic resonance (CMR). METHODS: Consecutive patients diagnosed with new-onset AMI between June 2022 and January 2024 were included. All patients underwent culprit vessel revascularization upon admission and CMR imaging 3-7 days later. The primary clinical endpoint of this study was the occurrence of major adverse cardiac and cerebrovascular events (MACCEs), for which the average follow-up was 10 months. RESULTS: A total of 72 patients were divided into a DM group (n = 23) and a non-DM group (n = 49). Multivariate logistic regression analysis revealed that DM was an independent risk factor for the occurrence of microvascular obstruction. Multivariate linear regression analysis found that DM was the influencing factor of global radial strain (B = -4.107, t = -2.328, p = 0.023), while fasting blood glucose influenced infarct segment myocardial radial strain (B = -0.622, t = -2.032, p = 0.046). DM independently contributed to the risk of MACCEs following successful revascularization in patients with AMI (p < 0.05). CONCLUSION: Comprehensive phenotypic characterization of myocardial injury and microcirculatory status could enable reliable identification of high-risk MACCEs in DM patients with new-onset AMI following successful revascularization.

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BACKGROUND: The association of plastic additive mixture exposure with diabetes and the modifying effects of dietary antioxidants are unclear. METHODS: The data from the NHANES 2011-2018 were retrieved, and phthalates and organophosphate esters (OPEs) were selected as exposures. The coexposure effect was analyzed by the environmental risk score (ERS) and quantile g-computation. To mitigate any potential bias caused by using the internal weights, another version of ERS was constructed using the cross-validation approach. The level of dietary antioxidant intake was measured by the composite dietary antioxidant index (CDAI). The biological mechanism underlying the association was studied by the adverse outcome pathway (AOP) framework. RESULTS: Fifteen chemicals (ten phthalates and five OPEs) were measured in 2824 adult participants. A higher ERS was significantly associated with an increased risk of diabetes (OR per 1-SD increment of ERS: 1.25, 95% CI: 1.13-1.39). This association apparently interacted with the CDAI level (ORlow: 1.83, 95% CI: 1.37-2.55; ORhigh: 1.28, 95% CI: 1.15-1.45; Pinteraction = 0.038). Moreover, quantile g-computation also revealed higher level of combined exposure was positively associated with diabetes (OR: 1.27, 95% CI: 1.05-2.87), and the addition of dietary antioxidants showed a null association (OR: 1.09, 95% CI: 0.85-2.34). The AOP study identified TCPP and TCEP as key chemicals that cause aberrant glucose metabolism and insulin signaling pathways and result in diabetes. CONCLUSIONS: Coexposure to phthalates and OPEs is positively associated with diabetes, where an antioxidative diet plays a modifying role. Several potential mechanisms have been proposed by AOP framework.

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AIMS: The impact of life-course different adiposity indices on diabetes mellitus (DM) is poorly understood. We aimed to do trajectory analysis with repeated measurements of adiposity indices in the development of DM among women across the lifespan. METHODS: This study prospectively investigated the 1,681 population of Tehran Lipid and Glucose Study. At baseline, all individuals were free of diabetes. Trajectory analysis was used to identify homogeneous distinct clusters of adiposity indices trajectories and assign individuals to unique clusters. RESULTS: Of the 1681 healthy women, 320 progressed to the DM. Three distinct body mass index (BMI) trajectories and 2 distinct trajectories of other adiposity indices (waist circumstance (WC), conicity index (C-index), and body roundness index (BRI)) were chosen as the best fitting of the latent class growth mixture model. In the adjusted model, total participants [HR (CI 95%): 2.83 (2.05, 3.91); p < 0.001], and menopause [1.35 (1.10, 2.11); p = 0.001] and reproductive-age women [2.93 (1.80, 4.78); p = 0.003] of the high BMI trajectory compared to the ones in the low trajectory of BMI were more likely to develop DM. The high BRI in menopause had a significantly higher risk of DM compared to the low trajectory. In menopause (1.80 (1.26, 2.58)) and reproductive-age women (4.32 (2.49, 7.47)) with high trajectory of C-index, the DM risk decreased after adjustment. CONCLUSIONS: The risk of DM was greater for high BMI, WC, C-index, and BRI trajectories than for lower trajectories. Hence, the development of general, abdominal, and visceral obesity trajectories in the prevention of DM should be considered by clinicians.

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PURPOSE: To evaluate the findings and the correlation of optical coherence tomography angiography and pattern and flash electroretinography in diabetes mellitus without retinopathy. METHODS: Seventy-six eyes of 38 diabetic patients and age- and gender-matched control subjects were included in the study. The foveal avascular zone (FAZ), whole, foveal, parafoveal and perifoveal vascular densities of the superficial capillary plexus (SCP), deep capillary plexus (DCP) and choriocapillary plexus (CCP) layers were analyzed using optical coherence tomography angiography (OCTA). The amplitudes and implicit times of P50 and N95 waves of the pattern ERG (pERG) and the amplitudes and implicit times of the scotopic and photopic b-waves and oscillatory potentials (OP) of the flash ERG (fERG) tests were evaluated using the Metrovision brand monpack model device. RESULTS: The mean age of the patients was 59.7 ± 7.9 [range 43-79] years. Eighteen (47%) of the patients were female and 20 (53%) were male. The mean duration of diabetes was 7.45 ± 6.2 [range 1-20] years. No significant difference in FAZ area was found between study subjects and controls. Vascular density (VD) values of the superficial capillary plexus (SCP) layer were significantly lower (whole VD, 44.7 ± 3.3 vs. 46.6 ± 3.2%, p = 0.01, foveal VD 16.8 ± 6.4 vs. 24.9 ± 6.1%, p < 0.01, parafoveal VD 45.6 ± 4.5 vs. 47.1 ± 4.4%, p = 0.27 and perifoveal VD 45.5 ± 3.3 vs. 47.3 ± 3.1%, p = 0.01, respectively) in the diabetic group except the parafoveal area. VD measurements in deep and choriocapillary plexuses did not significantly differ between the groups (p > 0.05). ERG tests revealed significantly lower scotopic b-wave amplitudes (130.2 ± 39.3 µV vs.163.3 ± 47.8 µV, p < 0.01) and photopic b-wave amplitudes (83.2 ± 20.7 µV vs. 99.6 ± 29.4 µV, p < 0.01) in the diabetic patients. The implicit time of the photopic responses was significantly prolonged (28.9 ± 1.3 ms vs. 27.8 ± 2.1 ms, p = 0.01) in the patients. Oscillatory potentials in all components consisting of O1 to O4 and the sum of the OP potentials were lower in the diabetic group than the control subjects (p < 0.001). The P50 and N95 amplitudes and implicit times were comparable between the groups (p > 0.05). Correlation analysis showed a positive correlation between N95 amplitudes in pERG and the superficial vessel densities in OCTA (r = 0.26, p = 0.04). A negative correlation was found between photopic implicit times in fERG and the choriocapillary vessel densities (r=-0.27, p = 0.03). CONCLUSION: OCTA revealed decreased superficial vascular densities with the onset of the metabolic process of diabetes mellitus. As a result of these structural changes, lower scotopic and photopic amplitudes, decreased OP amplitudes, and prolonged implicit times in flash ERG were obtained.

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Subjects who have ischemia with non-obstructive coronary arteries (INOCA) experience angina pectoris with evidence of myocardial ischemia but without coronary stenosis. Few studies have investigated factors associated with its survival, especially insulin resistance. In this study, subjects with angina pectoris, without known diabetes mellites (DM), and with non-invasive tests showing myocardial ischemia were admitted for coronary angiography (CAG). Those whose CAG did not reveal stenosis and agreed to receive an oral glucose tolerance test (OGTT) 2 weeks after hospital discharge were enrolled for analysis. All-cause mortality was recorded, which served as the outcome of the study. A total of 587 subjects with INOCA, without known DM, and with OGTT data were analyzed. After OGTT and HbA1c tests, 86 subjects (14.7%) were newly diagnosed with DM and 59.8% had pre-DM. The median duration of follow-up was 7.03 years. Thirty-nine subjects died during the follow-up period. The incidence rate of mortality was 9.9 /1000 person-year. Those who died had a higher fasting glucose (101 ± 17 vs. 94 ± 13 mg/dl, p = 0.003) but a lower estimated glomerular filtration rate (eGFR) (54 ± 22 vs. 87 ± 30 ml/min, p < 0.001). In the Cox survival analysis, a higher fasting glucose (hazard ratio 1.053, p = 0.007) was associated with worse mortality for INOCA without DM (N = 501). On the contrary, a higher eGFR (hazard ratio 0.967, p = 0.012) was protective of better survival for non-diabetic INOCA (N = 501). In conclusion, for non-diabetic INOCA, higher fasting glucose was associated with worse mortality and higher eGFR was protective for better survival.

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Metabolic dysfunction-associated diseases often refer to various diseases caused by metabolic problems such as glucose and lipid metabolism disorders. With the improvement of living standards, the increasing prevalence of metabolic diseases has become a severe public health problem, including metabolic dysfunction-associated steatotic liver disease (MASLD), alcohol-related liver disease (ALD), diabetes and obesity. These diseases are both independent and interdependent, with complex and diverse molecular mechanisms. Therefore, it is urgent to explore the molecular mechanisms and find effective therapeutic targets of these diseases. MicroRNAs (miRNAs) have emerged as key regulators of metabolic homoeostasis due to their multitargets and network regulatory properties within the past few decades. In this review, we discussed the latest progress in the roles of miRNA-mediated regulatory networks in the development and progression of MASLD, ALD, diabetes and obesity.

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Psychiatric disorders and diabetes are highly associated in psychiatric and primary care settings. The purpose of the current article is to examine the risk factors for diabetes among individuals being treated for psychiatric disorders in mental health care settings. Guidelines for promotion of healthy lifestyles, screening for risk factors, early identification and treatment of prediabetes, and collaborative care to manage the disease are discussed. [Journal of Psychosocial Nursing and Mental Health Services, 62(9), 7-10.].

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AIMS: Risk factors for lower limb amputation (LLA) in individuals with diabetes have been under-studied. We examined how 1/demographic and socioeconomic, 2/medical, and 3/lifestyle risk factors may be associated with LLA in people with newly diagnosed diabetes. METHODS: Using the Swedish national diabetes register from 2007 to 2016, we identified all individuals ≥18 years with an incident diabetes diagnosis and no previous amputation. These individuals were followed from the date of diabetes diagnosis to amputation, emigration, death, or the end of the study in 2017 using data from the In-Patient Register and the Total Population Register. The cohort consisted of 66,569 individuals. Information about demographic, socioeconomic, medical, and lifestyle risk factors was ascertained around the time of the first recorded diabetes diagnosis, derived from the above-mentioned registers. Cox proportional hazard models were used to obtain hazard ratios (HR) with 95% confidence intervals (CI). RESULTS: During the median follow-up time of 4 years, there were 133 individuals with LLA. The model adjusting for all variables showed a higher risk for LLA with higher age, HR 1.08 (95% CI 1.05-1.10), male sex, HR 1.57 (1.06-2.34), being divorced, HR 1.67 (1.07-2.60), smokers HR 1.99 (1.28-3.09), insulin treated persons HR 2.03 (1.10-3.74), people with low physical activity (PA) HR 2.05 (1.10-3.74), and people with an increased foot risk at baseline HR > 4.12. People with obesity had lower risk, HR 0.46 (0.29-0.75). CONCLUSIONS: This study found a higher risk for LLA among people with higher age, male sex, who were divorced, had a higher foot risk group, were on insulin treatment, had lower PA levels, and were smokers. No significant association was found between risk for LLA and education level, country of origin, type of diabetes, blood glucose level, hypertension, hyperlipidemia, creatinine level, or glomerular filtration rate. Obesity was associated with lower risk for LLA. Identified variables may have important roles in LLA risk among people with diabetes.

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Diabetic wounds pose a significant challenge in modern healthcare due to their chronic and complex nature, often resulting in delayed healing, infections, and, in severe cases, amputations. In recent years, nanotherapeutic approaches have emerged as promising strategies to address the unique pathophysiological characteristics of diabetic wounds. This review paper provides a comprehensive overview of the latest advancements in nanotherapeutics for diabetic wound treatment. We discuss various nanomaterials and delivery systems employed in these emerging therapies. Furthermore, we explore the integration of biomaterials to enhance the efficacy of nanotherapeutic interventions. By examining the current state-of-the-art research, challenges, and prospects, this review aims to offer valuable insights for researchers, clinicians, and healthcare professionals working in the field of diabetic wound care.

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Adipose tissue (AT) serves as an energy-capacitive organ and performs functions involving paracrine- and endocrine-mediated regulation via extracellular vesicles (EVs) secretion. Exosomes, a subtype of EVs, contain various bioactive molecules with regulatory effects, such as nucleic acids, proteins, and lipids. AT-derived exosomes (AT-exos) include exosomes derived from various cells in AT, including adipocytes, adipose-derived stem cells (ADSCs), macrophages, and endothelial cells. This review aimed to comprehensively evaluate the impacts of different AT-exos on the regulation of physiological and pathological processes. The contents and functions of adipocyte-derived exosomes and ADSC-derived exosomes are compared simultaneously, highlighting their similarities and differences. The contents of AT-exos have been shown to exert complex regulatory effects on local inflammation, tumor dynamics, and insulin resistance. Significantly, differences in the cargoes of AT-exos have been observed among diabetes patients, obese individuals, and healthy individuals. These differences could be used to predict the development of diabetes mellitus and as therapeutic targets for improving insulin sensitivity and glucose tolerance. However, further research is needed to elucidate the underlying mechanisms and potential applications of AT-exos.

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The field of epigenetics broadly seeks to define heritable phenotypic modifications that occur within cells without changes to the underlying DNA sequence. These modifications allow for precise control and specificity of function between cell types-ultimately creating complex organ systems that all contain the same DNA but only have access to the genes and sequences necessary for their cell-type-specific functions. The pancreas is an organ that contains varied cellular compartments with functions ranging from highly regulated glucose-stimulated insulin secretion in the ß-cell to the pancreatic ductal cells that form a tight epithelial lining for the delivery of digestive enzymes. With diabetes cases on the rise worldwide, understanding the epigenetic mechanisms driving ß-cell identity, function, and even disease is particularly valuable. In this chapter, we will discuss the known epigenetic modifications in pancreatic islet cells, how they are deposited, and the environmental and metabolic contributions to epigenetic mechanisms. We will also explore how a deeper understanding of epigenetic effectors can be used as a tool for diabetes therapeutic strategies.

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Pancreatic δ cells act locally to repress both insulin and glucagon secretion. Because they are a rare cell type, experimentation examining δ-cell function and control has lagged that of the more abundant α and ß cells. Emerging evidence, enabled partly by developing single-cell technology, demonstrates that δ-cell function is, in part, directed by δ cells but that δ cells also have intrinsic control. The contribution of these cells to overall glucose homeostasis and diabetes onset and progression is still unclear. However, they regulate both α and ß cells, both of which are dysfunctional in diabetes, and their numbers are disrupted in humans with diabetes and in multiple animal models of diabetes, suggesting δ cells are a pivotal character in both health and disease.

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OBJECTIVE: To determine the effects of multifactorial inspiratory muscle training (IMT) combined with Otago Exercise Programme (OEP) on balance and quality of life (QoL) in patients with diabetes. METHODS: Pretest-post-test randomised controlled trial. SETTING: Rehabilitation Department of Pakistan Railway General Hospital. PARTICIPANTS: 70 patients with diabetes were randomly assigned to experimental or placebo groups, out of which 59 patients completed the intervention. INTERVENTION: Patients in the experimental group performed OEP+IMT (at 50% of baseline maximum inspiratory pressure (MIP)) whereas the placebo group performed OEP+sham IMT (at 15% of MIP). Both groups exercised for 12 consecutive weeks. OUTCOME MEASURES: Outcome measures included nine variables: the Berg Balance Scale (BBS), the Biodex Postural Stability System (including postural stability test (Overall Stability Index, Anterior-Posterior Index and Mediolateral Index), fall risk test (FRT), Limits of Stability (LOS) test (time to complete test and direction control), Clinical Test of Sensory Interaction and Balance (CTSIB)) and the Audit of Diabetes Dependent Quality of Life questionnaire. RESULTS: Out of 59 patients who completed treatment, 37.1% were men and 62.9% were women with a mean age of 58.37±5.91 years. Results show significant interaction effects on BBS scores with the mean score improving from 41.87±2.61 to 49.16±2.50 in IMT versus sham IMT group with scores improving from 41.58±2.51 to 45.74±2.30. The IMT group significantly improved in dynamic balance tested through BBS (p=0.003), anticipatory balance through LOS test (p=0.003), reactive balance tested through FRT (p=0.04), direction control (p=0.03) and sensory integration through CTSIB test (p=0.04) when compared with the sham IMT group. While no significant changes (p>0.05) between groups were observed in QoL and static balance; significant changes (p<0.05) within group were observed in both groups in QoL and static balance. CONCLUSION: Additional research is necessary to understand the association between inspiratory muscle strength and balance, however, we demonstrated that a multifactorial IMT intervention should be used with patients with diabetes to improve balance, postural control and reduce fall risks. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT#04947163.

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The global prevalence of diabetes is escalating, with estimates indicating that over 536.6 million individuals were afflicted by 2021, accounting for approximately 10.5% of the world's population. Effective management of diabetes, particularly monitoring and prediction of blood glucose levels, remains a significant challenge due to the severe health risks associated with inaccuracies, such as hypoglycemia and hyperglycemia. This study addresses this critical issue by employing a hybrid Transformer-LSTM (Long Short-Term Memory) model designed to enhance the accuracy of future glucose level predictions based on data from Continuous Glucose Monitoring (CGM) systems. This innovative approach aims to reduce the risk of diabetic complications and improve patient outcomes. We utilized a dataset which contain more than 32000 data points comprising CGM data from eight patients collected by Suzhou Municipal Hospital in Jiangsu Province, China. This dataset includes historical glucose readings and equipment calibration values, making it highly suitable for developing predictive models due to its richness and real-time applicability. Our findings demonstrate that the hybrid Transformer-LSTM model significantly outperforms the standard LSTM model, achieving Mean Square Error (MSE) values of 1.18, 1.70, and 2.00 at forecasting intervals of 15, 30, and 45 minutes, respectively. This research underscores the potential of advanced machine learning techniques in the proactive management of diabetes, a critical step toward mitigating its impact.

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