The effects of acute and chronic stress on diabetes control

Associations Between Incarceration History and Risk of Hypertension and Hyperglycemia: Consideration of Differences among Black, Hispanic, Asian and White Subgroups

BACKGROUND

Studies have shown that adults with a history of incarceration have elevated cardiovascular (CVD) risk. Research on racial/ethnic group differences in the association between incarceration and CVD risk factors of hypertension and hyperglycemia is limited.

OBJECTIVE

To assess racial/ethnic group differences in the association between incarceration and hypertension and hyperglycemia.

DESIGN

We performed a secondary data analysis using the National Longitudinal Survey of Adolescent to Adult Health (Add Health). Using modified Poisson regression, we estimated the associations between lifetime history of incarceration reported during early adulthood with hypertension and hyperglycemia outcomes measured in mid-adulthood, including incident diagnosis. We evaluated whether associations varied by self-reported race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, and Asian).

PARTICIPANTS

The analytic sample included 4,015 Add Health respondents who self-identified as non-Hispanic White, Non-Hispanic Black, Hispanic, and Asian, and provided incarceration history and outcome data.

MAIN MEASURES

Outcome measures included (1) hypertension (2) systolic blood pressure  ≥ 130 mmHg, and (3) hyperglycemia.

KEY RESULTS

In non-Hispanic Black and non-Hispanic White participants, there was not evidence of an association between incarceration and measured health outcomes. Among Hispanic participants, incarceration was associated with hyperglycemia (Adjusted Risk Ratio (ARR): 2.1, 95% Confidence Interval (CI): 1.1-3.7), but not with hypertension risk. Incarceration was associated with elevated systolic blood pressure (ARR: 3.1, CI: 1.2-8.5) and hypertension (ARR: 1.7, CI: 1.0-2.8, p = 0.03) among Asian participants, but not with hyperglycemia risk. Incarceration was associated with incident hypertension (ARR 2.5, CI 1.2-5.3) among Asian subgroups.

CONCLUSIONS

Our findings add to a growing body of evidence suggesting that incarceration may be linked to chronic disease outcomes. Race/ethnic-specific results, while limited by small sample size, highlight the need for long-term studies on incarceration's influence among distinct US groups.

Biological Embedding of Early-Life Adversity and a Scoping Review of the Evidence for Intergenerational Epigenetic Transmission of Stress and Trauma in Humans

Severe or chronic stress and trauma can have a detrimental impact on health. Evidence suggests that early-life adversity can become biologically embedded and has the potential to influence health outcomes decades later. Epigenetics is one mechanism that has been implicated in these long-lasting effects. Observational studies in humans indicate that the effects of stress could even persist across generations, although whether or not epigenetic mechanisms are involved remains under debate. Here, we provide an overview of studies in animals and humans that demonstrate the effects of early-life stress on DNA methylation, one of the most widely studied epigenetic mechanisms, and summarize findings from animal models demonstrating the involvement of epigenetics in the transmission of stress across generations. We then describe the results of a scoping review to determine the extent to which the terms intergenerational or transgenerational have been used in human studies investigating the transmission of trauma and stress via epigenetic mechanisms. We end with a discussion of key areas for future research to advance understanding of the role of epigenetics in the legacy effects of stress and trauma.

Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data

BACKGROUND

Chronic stress is highly prevalent in the German population. It has known adverse effects on mental health, such as burnout and depression. Known long-term effects of chronic stress are cardiovascular disease, diabetes, and cancer.

OBJECTIVE

This study aims to derive an interpretable multiclass machine learning model for predicting chronic stress levels and factors protecting against chronic stress based on representative nationwide data from the German Health Interview and Examination Survey for Adults, which is part of the national health monitoring program.

METHODS

A data set from the German Health Interview and Examination Survey for Adults study including demographic, clinical, and laboratory data from 5801 participants was analyzed. A multiclass eXtreme Gradient Boosting (XGBoost) model was constructed to classify participants into 3 categories including low, middle, and high chronic stress levels. The model's performance was evaluated using the area under the receiver operating characteristic curve, precision, recall, specificity, and the F1-score. Additionally, SHapley Additive exPlanations was used to interpret the prediction XGBoost model and to identify factors protecting against chronic stress.

RESULTS

The multiclass XGBoost model exhibited the macroaverage scores, with an area under the receiver operating characteristic curve of 81%, precision of 63%, recall of 52%, specificity of 78%, and F1-score of 54%. The most important features for low-level chronic stress were male gender, very good general health, high satisfaction with living space, and strong social support.

CONCLUSIONS

This study presents a multiclass interpretable prediction model for chronic stress in adults in Germany. The explainable artificial intelligence technique SHapley Additive exPlanations identified relevant protective factors for chronic stress, which need to be considered when developing interventions to reduce chronic stress.

Comparing the Associated Factors on Lifestyle Between Type 2 Diabetic Patients and Healthy People: A Case-Control Study

BACKGROUND

the most important way to control diabetes is to follow a preventive lifestyle and if a diabetic individual follows a preventive lifestyle which he or she has accepted. The main objective of the current study is to compare the factors affecting the lifestyle in patients suffering from Type II diabetes and the healthy individuals in Kermanshah City.

METHODS

this study is based on a case-control design where using simple random sampling, 110 patients suffering from type II diabetes are selected as the case group and 111 healthy subjects among the companions of other patients are selected as the control group from the Center for Diabetics in Kermanshah City. The average age of the participants is 48.8±11.0. The questionnaires used for collecting the data included the following: the demographic information questionnaire and the lifestyle questionnaire which covers diet, physical activity, coping with stress, and smoking. Software applications including STSTA14 and SPSS23 were used for performing statistical computations and logistic regression or linear regression tests were used for analyzing the collected data.

RESULTS

in the subscales of diet, physical activity, spiritual growth, and stress management, there was a significant difference between the diabetic and healthy groups in a wat that the average score for these subscales was higher in the healthy individuals. While the average score for "health responsibility" was higher in the diabetic group compared to the healthy subjects, the difference was not significant (P<0.232). Moreover, there was a significant statistical relationship between the two groups, i.e. the diabetic and healthy groups, and the variables of age, education level, and occupation (P > 0.05).

CONCLUSION

healthy lifestyle including proper diet and athletic activity is effective in preventing type II diabetes. Accordingly, implementing policies in the urban transportation system such as providing a special lane for bikers in the cities, increasing the tax for harmful foods, considering subsidies for healthy food products, and self-care of individuals can be effective.

Effects of meditation on physiological and metabolic parameters in patients with type 2 diabetes mellitus "MindDM": study protocol for a randomized controlled trial

BACKGROUND

Sri Lanka is faced with the challenge of managing a large population with diabetes mellitus by 2030. Psychological stress plays a major role in disease outcome by exerting physiological, psychological and social effects on individuals with chronic disorders. Meditation-based interventions have positive effects on the management of stress and diabetes, which are mediated via modulation of neuro-humoral mechanisms and autonomic functions, among others. Mechanisms of bio-physiological effects of meditation are considered to be through reduction of stress hormones, improvement of insulin resistance and improvement of autonomic dysfunction.

METHODS

This study will be conducted as an open-label, randomized controlled clinical trial in the Faculty of Medicine, University of Colombo. The aim is to investigate the effects of meditation on glycaemic control and possible mechanisms of how meditation affects glycaemic control in patients with type 2 diabetes. The study was approved by the Ethics Review Committee of the Faculty of Medicine, University of Colombo (ERC/2019/094). Patients who are attending the professorial unit medical clinic with type 2 diabetes (172 in total) will be recruited based on inclusion-exclusion criteria. Patients who have never meditated or rarely meditated (less than once every three months) will be randomized using block randomization to meditation and waitlisted arms (1:1 allocation ratio). The meditation arm will undergo a mindfulness meditation program (selected after studying several meditation methods) conducted by a qualified instructor weekly for a period of 12 weeks in addition to usual care, while the waitlisted arm will only receive usual care. Daily meditation practices will be recorded in a diary. The primary outcome measure is HbA1c. Secondary outcome measures are fasting blood sugar, fructosamine, insulin resistance (calculated using fasting serum insulin), 24-h urinary cortisol, body mass index, cardiac autonomic reflex testing (Ewing's battery of tests) and orocecal transit time using hydrogen breath analysis. All these will be done prior to commencement of the intervention and after 3 months in both arms. Data will be analysed using SPSS V-23.

DISCUSSION

This study aims to identify the effect of mindfulness meditation on glycaemic control and the possible mechanisms (neuro humoral and autonomic functions) by which beneficial effects are mediated.

TRIAL REGISTRATION

Registered under Sri Lanka Clinical Trial Registry: SLCTR/2021/015 The Universal Trial Number (UTN) U1111-1266-8640.

Experiences and actions related to living with type 1 diabetes during the COVID-19 pandemic in Norway: a qualitative study conducted during July to December 2020

OBJECTIVES

The aim of this study was to describe the experiences of adults with type 1 diabetes (T1DM) during the COVID-19 pandemic in Norway, and what actions they took to cope with the situation.

DESIGN

An inductive, descriptive design applying the critical incident technique was used to collect qualitative data between July 2020 and December 2020.

SETTING

A strategic selection was made from diabetes specialist outpatient clinics at three different hospitals in eastern Norway. The hospitals, two community hospitals and one university hospital, were situated in both rural and urban areas.

PARTICIPANTS

Inclusion criteria were people with T1DM aged 18-65 years. Exclusion criteria were pregnancy, people with chronic pulmonary disorders, people with active cancer diseases and people diagnosed with a myocardial infarction or stroke during the previous 6 months. Semistructured individual interviews with 19 people with T1DM were conducted.

RESULTS

Experiences were categorised into two main areas: 'increased psychosocial burden of T1DM during the COVID-19 pandemic' and 'changed conditions for T1DM treatment during the COVID-19 pandemic'. Uncertainty distress and social consequences from infection control measures contributed to the burden of T1DM. Disrupted T1DM follow-up and altered daily routines created challenges. However, having increased time to focus on T1DM self-management during lockdown represented an improvement. Actions to handle the situation were categorised into two main areas: 'actions to handle psychosocial strain related to T1DM and COVID-19' and 'actions to handle changed conditions for T1DM treatment during the COVID-19 pandemic'.

CONCLUSIONS

Patients experienced an increased psychosocial burden of T1DM and difficulties from a disrupted daily life affecting T1DM self-management routines. Uncertainty-reducing behaviours and actions to adapt to the situation provided a general sense of coping despite these difficulties. Tailored information and follow-up by telephone or video call was emphasised to reduce uncertainly distress and support adequate diabetes T1DM self-management.

Associations Between Device-Measured Physical Activity and Glycemic Control and Variability Indices Under Free-Living Conditions

Background: Disturbances of glycemic control and large glycemic variability have been associated with increased risk of type 2 diabetes in the general population as well as complications in people with diabetes. Long-term health benefits of physical activity are well documented but less is known about the timing of potential short-term effects on glycemic control and variability in free-living conditions. Materials and Methods: We analyzed data from 85 participants without diabetes from the Food & You digital cohort. During a 2-week follow-up, device-based daily step count was studied in relationship to glycemic control and variability indices using generalized estimating equations. Glycemic indices, evaluated using flash glucose monitoring devices (FreeStyle Libre), included minimum, maximum, mean, standard deviation, and coefficient of variation of daily glucose values, the glucose management indicator, and the approximate area under the sensor glucose curve. Results: We observed that every 1000 steps/day increase in daily step count was associated with a 0.3588 mg/dL (95% confidence interval [CI]: -0.6931 to -0.0245), a 0.0917 mg/dL (95% CI: -0.1793 to -0.0042), and a 0.0022% (95% CI: -0.0043 to -0.0001) decrease in the maximum glucose values, mean glucose, and in the glucose management indicator of the following day, respectively. We did not find any association between daily step count and glycemic indices from the same day. Conclusions: Increasing physical activity level was linked to blunted glycemic excursions during the next day. Because health-related benefits of physical activity can be long to observe, such short-term physiological benefits could serve as personalized feedback to motivate individuals to engage in healthy behaviors.

Perceived Stress as a Pathway for the Relationship Between Neighborhood Factors and Glycemic Control in Adults With Diabetes

PURPOSE

Neighborhood factors such as crime, discrimination, and violence are increasingly recognized as correlates of poor glycemic control. However, pathways for these relationships are unclear. This study examined stress and self-efficacy as potential pathways for the relationship between neighborhood factors and glycemic control in adults with type 2 diabetes.

DESIGN

Cross-sectional study.

SETTING

Two primary care clinics in southeastern US.

PARTICIPANTS

615 adults aged 18 years and older.

MEASURES

Validated measures were used to capture neighborhood factors, stress, and self-efficacy, while hemoglobin A1c (HbA1c) was abstracted from the electronic health record.

ANALYSIS

Path analysis was used to investigate direct and indirect relationships between neighborhood factors, stress, self-efficacy, and glycemic control.

RESULTS

In the final model, violence (r = .17, P = .024), discrimination (r = .46, P < .001), and crime (r = .36, P = .046) were directly associated with higher perceived stress. Stress (r = -.5, P < .001) was directly associated with lower self-efficacy. Self-efficacy was directly associated with better general diet (r = .12, P < .001), better specific diet (r = .04, P < .001), more exercise (r = .08, P < .001), and lower HbA1c (r = -.11, P < .001). Stress (r = .05, P < .001), crime (r = .20, P < .001), and discrimination (r = .08, P < .001) were indirectly associated with higher HbA1c.

CONCLUSION

Stress and self-efficacy are potential pathways for the relationship between neighborhood factors like violence, discrimination, and crime and glycemic control. Interventions aimed at mitigating stress and improving self-efficacy may improve self-care behaviors and glycemic control.

Salmonella Infection Causes Hyperglycemia for Decreased GLP-1 Content by Enteroendocrine L Cells Pyroptosis in Pigs

Inflammatory responses have been shown to induce hyperglycemia, yet the underlying mechanism is still largely unclear. GLP-1 is an important intestinal hormone for regulating glucose homeostasis; however, few studies have investigated the influence of digestive tract Salmonella infection on enteroendocrine L cell secretions. In this study, we established a model of Salmonella-infected piglets by oral gavage in order to analyze the effects of Salmonella infection on enteroendocrine L cell function. Furthermore, in vitro lipopolysaccharide (LPS) was administered to STC-1 cells to clarify its direct effect on GLP-1 secretion. The results showed that significantly increased blood glucose in the group of Salmonella-infected piglets was observed, and Salmonella infection decreased blood GLP-1 content. Then, ileal epithelium damage was observed by histological detection, and this was further verified by TUNEL staining. We identified activation of TLR signaling demonstrating up-regulated expressions of TLR4 and nuclear factor-kappa B (NF-ΚB). Furthermore, it was shown that Salmonella induced pyroptosis of enteroendocrine L cells and enhanced the secretion of IL-1β through augmenting gene and protein expressions of NOD-like receptor protein 3 (NLRP3), apoptosis-associated speck-like protein containing a carboxyl-terminal CARD (ASC), Caspase 1, and gasdermin D (GSDMD). Meanwhile, in vitro LPS treatment induced the pyroptosis of STC-1 cells and reduced the secretion of GLP-1. Altogether, the results demonstrated that Salmonella infection can reduce secretion of GLP-1 by inducing pyroptosis of intestinal L cells, which may eventually result in hyperglycemia. The results provided evidence for the cause of hyperglycemia induced by inflammation and shed new light on glucose homeostasis regulation.

Periodontal Disease: The Good, The Bad, and The Unknown

Periodontal disease is classically characterized by progressive destruction of the soft and hard tissues of the periodontal complex, mediated by an interplay between dysbiotic microbial communities and aberrant immune responses within gingival and periodontal tissues. Putative periodontal pathogens are enriched as the resident oral microbiota becomes dysbiotic and inflammatory responses evoke tissue destruction, thus inducing an unremitting positive feedback loop of proteolysis, inflammation, and enrichment for periodontal pathogens. Keystone microbial pathogens and sustained gingival inflammation are critical to periodontal disease progression. However, recent studies have revealed the importance of previously unidentified microbes involved in disease progression, including various viruses, phages and bacterial species. Moreover, newly identified immunological and genetic mechanisms, as well as environmental host factors, including diet and lifestyle, have been discerned in recent years as further contributory factors in periodontitis. These factors have collectively expanded the established narrative of periodontal disease progression. In line with this, new ideologies related to maintaining periodontal health and treating existing disease have been explored, such as the application of oral probiotics, to limit and attenuate disease progression. The role of systemic host pathologies, such as autoimmune disorders and diabetes, in periodontal disease pathogenesis has been well noted. Recent studies have additionally identified the reciprocated importance of periodontal disease in potentiating systemic disease states at distal sites, such as in Alzheimer's disease, inflammatory bowel diseases, and oral cancer, further highlighting the importance of the oral cavity in systemic health. Here we review long-standing knowledge of periodontal disease progression while integrating novel research concepts that have broadened our understanding of periodontal health and disease. Further, we delve into innovative hypotheses that may evolve to address significant gaps in the foundational knowledge of periodontal disease.

How the COVID-19 outbreak affected patients with diabetes mellitus?

Background

Global COVID-19 outbreak has been such a stressful experience for most of the people. Using a web-based cross-sectional study, we aimed to evaluate the acute stress response, depression, and anxiety in patients with diabetes mellitus (DM) during the COVID-19 pandemic, and to examine the effect of these psychiatric problems on diet habits and glycemic controls of patients.

Methods

This web-based survey of COVID-19 was sent to the patients through the Whatsapp platform. All participants reported their demographic data, diabetes-related information, changes in self-monitoring blood glucose measurements, physical parameters, and eating habits after COVID-19, then completed Hospital Anxiety and Depression Scale (HADS) and the Impact of Event Scale, Revised (IES-R) questionnaires which assessed acute stress sypmtoms, anxiety, and depression.

Results

Three hundred and four patients with DM [(141 type 1 DM (T1D) and 163 type 2 (T2D)] were included in the study. In our study, female gender, higher BMI and weight, decreased in financial income after outbreak, presence of diabetic complications and comorbid diseases (i.e., retinopathy, neuropathy, diabetic foot, hypertension, dyslipidemia), worsened glycemic levels, increased carbohydrate consumption, and snacking were associated with higher anxiety and depression scores. Depression was higher in patients with T2D and duration of illness was correlated with acute stress level.

Conclusions

It is important to be aware of the possibility of acute stress, depression, and anxiety after pandemic in patients with DM whose glycemic control is impaired. Psychological problems should not be ignored beyond physical inactivity and worsening eating habits.

Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors

BACKGROUND

Using Ambient Assisted Living sensors to detect acute stress could help people mitigate the harmful effects of everyday stressful situations. This would help both the healthy and those affected more by sudden stressors, e.g., people with diabetes or heart conditions. The study aimed to develop a method for providing reliable stress detection based on heart rate variability features extracted from portable devices.

METHODS

Features extracted from portable electrocardiogram sensor recordings were used for training various classification algorithms for stress detection purposes. Data were recorded in a clinical trial with 7 participants and two stressors, the Trier Social Stress Test and the Stroop colour word test, both validated by standardised questionnaires. Different heart rate variability feature sets (all, time-domain and non-linear only, frequency-domain only) were tested to investigate how classification performance is affected, in addition to various time window length setups and participant-wise training sessions. The accuracy and F1 score of the trained models were compared and analysed.

RESULTS

The best results were achieved with models using time-domain and non-linear heart rate variability features with 5-min-long overlapping time windows, yielding 96.31% accuracy and 96.26% F1 score. Shorter overlapping windows had slightly lower performance, with 91.62-94.55% accuracy and 91.77-94.55% F1 score ranges. Non-overlapping window configurations were less effective, with both accuracy and F1 score below 88%. For participant-wise learning, average F1 scores of 99.47%, 98.93% and 96.1% were achieved for feature sets using all, time-domain and non-linear, and frequency-domain features, respectively.

CONCLUSION

The tested stress detector models based on heart rate variability data recorded by a single electrocardiogram sensor performed just as well as those published in the literature working with multiple sensors, or even better. This suggests that once portable devices such as smartwatches provide reliable hear rate variability recordings, efficient stress detection can be achieved without the need for additional physiological measurements.

Chewing Behavior Attenuates the Tumor Progression-Enhancing Effects of Psychological Stress in a Breast Cancer Model Mouse

We examined whether chewing behavior affects the tumor progression-enhancing impact of psychological stress. Human breast cancer cell line (MDA-MB-231) cells were inoculated into the mammary fat pads of athymic nude mice. The mice were assigned randomly to control, stress, and stress+chewing groups. Psychological stress was created by keeping mice in a transparent restraint cylinder for 45 min, three times a day, for 35 days after cell inoculation. Animals in the stress+chewing group were provided with a wooden stick for chewing on during the psychological stress period. Chewing behavior remarkably inhibited the tumor growth accelerated by the psychological stress. Immunohistochemical and Western blot findings revealed that chewing behavior during psychological stress markedly suppressed tumor angiogenesis and cell proliferation. In addition, chewing behavior decreased serum glucocorticoid levels and expressions of glucocorticoid and β2-adrenergic receptors in tumors. Chewing behavior decreased expressions of inducible nitric oxide synthase and 4-hydroxynonenal, and increased expression of superoxide dismutase 2 in tumors. Our findings suggest that chewing behavior could ameliorate the enhancing effects of psychological stress on the progression of breast cancer, at least partially, through modulating stress hormones and their receptors, and the subsequent signaling pathways involving reactive oxygen and nitrogen species.

Susceptibility for Some Infectious Diseases in Patients With Diabetes: The Key Role of Glycemia

Uncontrolled diabetes results in several metabolic alterations including hyperglycemia. Indeed, several preclinical and clinical studies have suggested that this condition may induce susceptibility and the development of more aggressive infectious diseases, especially those caused by some bacteria (including Chlamydophila pneumoniae, Haemophilus influenzae, and Streptococcus pneumoniae, among others) and viruses [such as coronavirus 2 (CoV2), Influenza A virus, Hepatitis B, etc.]. Although the precise mechanisms that link glycemia to the exacerbated infections remain elusive, hyperglycemia is known to induce a wide array of changes in the immune system activity, including alterations in: (i) the microenvironment of immune cells (e.g., pH, blood viscosity and other biochemical parameters); (ii) the supply of energy to infectious bacteria; (iii) the inflammatory response; and (iv) oxidative stress as a result of bacterial proliferative metabolism. Consistent with this evidence, some bacterial infections are typical (and/or have a worse prognosis) in patients with hypercaloric diets and a stressful lifestyle (conditions that promote hyperglycemic episodes). On this basis, the present review is particularly focused on: (i) the role of diabetes in the development of some bacterial and viral infections by analyzing preclinical and clinical findings; (ii) discussing the possible mechanisms by which hyperglycemia may increase the susceptibility for developing infections; and (iii) further understanding the impact of hyperglycemia on the immune system.

An integrated physical and mental health awareness education intervention to reduce non-communicable diseases among Syrian refugees and Jordanians in host communities: A natural experiment study

The Syrian crisis has had a devastating impact on displaced populations and among host communities in neighboring countries such as Jordan. Many of these individuals are at risk for non-communicable diseases (NCD) and mental health disorders, yet do not have access to services designed to manage or prevent these conditions. The purpose of this study was to examine the efficacy of a non-communicable disease (NCD) awareness educational intervention and an integrated NCD and mental health education intervention on reducing cardiovascular disease (CVD) risk among Jordanians and displaced Syrians. This natural experiment study was conducted in three health centers in Irbid, Jordan with 213 Syrian participants and 382 Jordanians. Participants were assigned to one of three study conditions: the Healthy Community Clinic (HCC), a non-communicable disease educational intervention; the HCC with added mental health awareness sessions; standard healthcare. CVD risk factors were assessed at baseline, 12 and 18 months. The HCC education group yielded significant improvements in three CVD risk factors including: body mass index (BMI) -1.91 (95% CI: -2.09, -1.73); systolic blood pressure (SBP) -12.80 mmHg (95% CI: -16.35, -9.25); and diastolic blood pressure (DBP) -5.78 mmHg (95% CI: -7.96, -3.60) compared to standard care. The HCC-mental health treatment arm also demonstrated significant improvements in BMI, SBP, and DBP compared to standard care. Significant improvements in fasting blood glucose -20.32 (CI: -28.87, -11.77) and HbA1c -0.43 (-0.62, -0.24) were also illustrated in the HCC-mental health treatment arm. The HCC-mental health group sustained greater reductions in CVD risk than the HCC education group at 18-months. This study is among the first to our knowledge illustrating an integrated health and mental health educational intervention can reduce CVD risk among Syrian refugees and Jordanians. Continued investment and research in CVD prevention interventions is needed to enhance health, reduce costs, and have lasting benefits for conflict-affected individuals and communities.

Evaluation of Stress and Associated Biochemical Changes in Patients with Type 2 Diabetes Mellitus and Obesity

PURPOSE

Type 2 diabetes mellitus (T2DM), a metabolic disorder, remains associated with a physiological impairment affecting large populations worldwide. Onset of T2DM is multifactorial where obesity and abnormal basal metabolic rate are considered most critical. Of people diagnosed with T2DM, about 80% are also obese. It is also reported that obese individuals have an increased odds of developing depression, whereas T2DM is estimated to increase the incidence by two-fold. The preponderance of research data demonstrates that T2DM alters the serum level of cortisol and adiponectin which are known to be associated with neuronal physiology. The study explored, how a metabolic disorder like T2DM is linked with the altered plasma level of cortisol and adiponectin, the risk factors for stress and depression.

PATIENTS AND METHODS

A cross-sectional population study was conducted in T2DM patients using a bimodal approach. First approach used questionnaires, (1) Patient Health Questionnaire (PHQ-9) and (2) Stress Coping Inventory Questionnaire (SCQ) to assess signs and symptoms of depression and stress, respectively, in T2DM patients. In the second approach, robust biochemical analysis was conducted for serum adiponectin and cortisol levels.

RESULTS

An association of T2DM in stress and depression was evaluated in 158 subjects (105 T2DM obese patients and 53 healthy controls). A lower PHQ-9 score and adiponectin levels were seen in T2DM obese patients compared to healthy controls (p<0.05). Further, results also depicted a lower adiponectin levels in T2DM obese patients with depression compared to T2DM obese patients without depression (p<0.05). The study did not find a significant difference in cortisol serum levels among the T2DM and control groups. However, a higher level of serum cortisol was reported in T2DM obese patients with depression over those T2DM obese patients who lacked depression (p<0.05).

CONCLUSION

The findings suggest that T2DM obese patients might have a higher risk of developing stress and depression. Further, biochemical parameters, adiponectin and cortisol, might be the potential biomarkers for T2DM and may help in early diagnosis of these comorbid conditions.

The influence of daily stress on glycemic control and mortality in adults with diabetes

There is mixed evidence regarding the relationship between different types of stress and outcomes in adults with diabetes. The aim of this study was to understand the relationship between daily stress and glycemic control (HbA1c), and to examine whether multiple daily stressors is associated with early mortality among individuals with diabetes. This was a cross-sectional analysis of national Midlife Development in the United States (MIDUS) study data. A total of 141 adults with diabetes completed the National Study of Daily Experiences (NSDE) project during the initial phase of the study, which was summarized through a series of measures about daily stress frequency, type and impact. General linear models investigated the relationship between daily stress and HbA1c. Kaplan-Meier curves based on national death index information linked to MIDUS were investigated for individuals reporting no/one stressor per week versus multiple stressors per week. On average, this population of adults with diabetes reported 3.1 days with a stressor and 2.45 stressor types per week. No significant relationships existed between glycemic control and frequency of daily stress. Higher stress from work was associated with higher HbA1c (β = 0.65, 95% CI 0.08, 1.22) and higher perceived risk of stress influencing physical health was associated with higher HbA1c (β = 0.60, 95% CI 0.01, 1.20). In conclusion, while many ways of measuring daily stress were shown not to have a significant influence on glycemic control, daily stress related to work and the perceived risk of stress influencing one's physical health may influence outcomes for adults with diabetes. Interventions incorporating stress management, and in particular coping with the risk that stress has on health may help adults with diabetes better manage glycemic control over time.

A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

BACKGROUND

Semisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suitability for applications where there is a lack of a sufficient data set for the other classes. Infection incidence often brings prolonged hyperglycemia and frequent insulin injections in people with type 1 diabetes, which are significant anomalies. Despite these potentials, there have been very few studies that focused on detecting infection incidences in individuals with type 1 diabetes using a dedicated personalized health model.

OBJECTIVE

This study aims to develop a personalized health model that can automatically detect the incidence of infection in people with type 1 diabetes using blood glucose levels and insulin-to-carbohydrate ratio as input variables. The model is expected to detect deviations from the norm because of infection incidences considering elevated blood glucose levels coupled with unusual changes in the insulin-to-carbohydrate ratio.

METHODS

Three groups of one-class classifiers were trained on target data sets (regular days) and tested on a data set containing both the target and the nontarget (infection days). For comparison, two unsupervised models were also tested. The data set consists of high-precision self-recorded data collected from three real subjects with type 1 diabetes incorporating blood glucose, insulin, diet, and events of infection. The models were evaluated on two groups of data: raw and filtered data and compared based on their performance, computational time, and number of samples required.

RESULTS

The one-class classifiers achieved excellent performance. In comparison, the unsupervised models suffered from performance degradation mainly because of the atypical nature of the data. Among the one-class classifiers, the boundary and domain-based method produced a better description of the data. Regarding the computational time, nearest neighbor, support vector data description, and self-organizing map took considerable training time, which typically increased as the sample size increased, and only local outlier factor and connectivity-based outlier factor took considerable testing time.

CONCLUSIONS

We demonstrated the applicability of one-class classifiers and unsupervised models for the detection of infection incidence in people with type 1 diabetes. In this patient group, detecting infection can provide an opportunity to devise tailored services and also to detect potential public health threats. The proposed approaches achieved excellent performance; in particular, the boundary and domain-based method performed better. Among the respective groups, particular models such as one-class support vector machine, K-nearest neighbor, and K-means achieved excellent performance in all the sample sizes and infection cases. Overall, we foresee that the results could encourage researchers to examine beyond the presented features into other additional features of the self-recorded data, for example, continuous glucose monitoring features and physical activity data, on a large scale.

Clinical characteristics of patients admitted to an ICU with COVID-19. Predictors of the severe disease

Background. Providing an efficient care to the patients of the most severely affected category ICU patients has become one of the serious problems appearing in the COVID-19 pandemics. A typical patients clinical portrait in ICUs of COVID centers is very similar in different countries, however, the key to improve the treatment results for critically ill patients has not yet been found. Currently, 160 patients have been treated in the ICU of the FRCC of the FMBA of Russia. To May 16, 2020, the lethality in the ICU was 48.9% by the closed cases, the lethality among the patients on ventilation was 57.9%. The aim of the study is to identify predictors of the severe pneumonia caused by the SARS-CoV-2 virus, and to describe the clinical characteristics of patients admitted to an intensive care unit of the COVID-center of the Federal Research Clinical Center of FMBA of Russia. Methods. In this report, we describe the clinical, laboratory and instrumental data of 70 patients admitted to the ICU, and discuss the found predictors of the severe COVID-19 pneumonia course. Results. The following factors have been determined which contribute to the development of the severe course of the disease and to the risk of the unfavorable outcome: male gender, age older than 70.5 years, initial lymphocytopenia of lower than 0.98109/l, neutrophil to lymphocyte ratio of higher than 7.75, D-dimer level of higher than 0.85 g/ml, IL-6 of higher than 184.7 pg/ml, procalcitonin of higher than 0.22 ng/ml, hyperglycemia of higher than 9 mmol/l, signs of myocardial damage (high-sensitive troponin Т of higher than 22 pg/ml, echocardiography data), signs of the presence of a secondary bacterial infection and a severe vitamin D deficiency (lower than 9.9 ng/ml). The pathophysiological basics for the contribution of each factor to the severe course of the disease are provided. Conclusions. Clinical features of the patients change in course of pandemia. These influenced by changes in treatment approaches and new discoveries in disease pathophysiology. Above mentioned predictors of severe course of disease is partly modifiable and we are able to influence them and perhaps achieve better results in treatment of severe patients with COVID-19

Injectable Biomedical Devices for Sensing and Stimulating Internal Body Organs

The rapid pace of progress in implantable electronics driven by novel technology has created devices with unconventional designs and features to reduce invasiveness and establish new sensing and stimulating techniques. Among the designs, injectable forms of biomedical electronics are explored for accurate and safe targeting of deep-seated body organs. Here, the classes of biomedical electronics and tools that have high aspect ratio structures designed to be injected or inserted into internal organs for minimally invasive monitoring and therapy are reviewed. Compared with devices in bulky or planar formats, the long shaft-like forms of implantable devices are easily placed in the organs with minimized outward protrusions via injection or insertion processes. Adding flexibility to the devices also enables effortless insertions through complex biological cavities, such as the cochlea, and enhances chronic reliability by complying with natural body movements, such as the heartbeat. Diverse types of such injectable implants developed for different organs are reviewed and the electronic, optoelectronic, piezoelectric, and microfluidic devices that enable stimulations and measurements of site-specific regions in the body are discussed. Noninvasive penetration strategies to deliver the miniscule devices are also considered. Finally, the challenges and future directions associated with deep body biomedical electronics are explained.

The long-term management of congenital generalized lipodystrophy (Berardinelli-Seip syndrome): the clinical manifestations of Japanese siblings for approximately 20 years

Congenital generalized lipodystrophy (CGL) is a rare autosomal recessive disease that is characterized by loss of subcutaneous and visceral adipose tissues, and associated with dysregulation of glycolipid metabolism. In the present study, we reported the clinical manifestations and treatments of Japanese siblings with CGL caused by BSCL2 gene mutations with a clinical course of approximately 20 yr. Comprehensive management with metreleptin therapy, dietary control with additional medication, and psychosocial counseling in line with the patients’ stages of growth and development were important in achieving long-term metabolic control of this condition.

Handling stress impairs learning through a mechanism involving caspase-1 activation and adenosine signaling

Acute stressors can induce fear and physiologic responses that prepare the body to protect from danger. A key component of this response is immune system readiness. In particular, inflammasome activation appears critical to linking stress to the immune system. Here, we show that a novel combination of handling procedures used regularly in mouse research impairs novel object recognition (NOR) and activates caspase-1 in the amygdala. In male mice, this handling-stress paradigm combined weighing, scruffing and sham abdominal injection once per hr. While one round of weigh/scruff/needle-stick had no impact on NOR, two rounds compromised NOR without impacting location memory or anxiety-like behaviors. Caspase-1 knockout (KO), IL-1 receptor 1 (IL-1R1) KO and IL-1 receptor antagonist (IL-RA)-administered mice were resistant to handling stress-induced loss of NOR. In addition, examination of the brain showed that handling stress increased caspase-1 activity 85% in the amygdala without impacting hippocampal caspase-1 activity. To delineate danger signals relevant to handling stress, caffeine-administered and adenosine 2A receptor (A2AR) KO mice were tested and found resistant to impaired learning and caspase-1 activation. Finally, mice treated with the β-adrenergic receptor antagonist, propranolol, were resistant to handling stress-induced loss of NOR and caspase-1 activation. Taken together, these results indicate that handling stress-induced impairment of object learning is reliant on a pathway requiring A2AR-dependent activation of caspase-1 in the amygdala that appears contingent on β-adrenergic receptor functionality.

Involvement of Hepatic SHIP2 and PI3K/Akt Signalling in the Regulation of Plasma Insulin by Xiaoyaosan in Chronic Immobilization-Stressed Rats

Background: Long-term exposure to chronic stress is thought to be a factor closely correlated with the development of metabolic disorders, such as diabetes mellitus and metabolic syndrome. Xiaoyaosan, a Chinese herbal formula, has been described in many previous studies to exert anxiolytic-like or antidepressant effects in chronically stressed rats. However, few studies have observed the effects of Xiaoyaosan on the metabolic disorders induced by chronic stress. Objective: We sought to investigate the effective regulation of Xiaoyaosan on 21-day chronic immobility stress (CIS, which is 3 h of restraint immobilization every day)-induced behavioural performance and metabolic responses and to further explore whether the effects of Xiaoyaosan were related to SHIP2 expression in the liver. Methods: Sixty male Sprague Dawley rats were randomly divided into a control group, a CIS group, a Xiaoyaosan group and a rosiglitazone group. The latter three groups were subjected to 21 days of CIS to generate the stress model. After 21 days of CIS, the effects of Xiaoyaosan on body weight, food intake, and behaviour in the open field test, the sucrose preference test and the forced swimming test were observed following chronic stress. Plasma insulin, cholesterol (CHOL), triglyceride (TG), low-density lipoprotein (LDL-C) and high-density lipoprotein (HDL-C) concentrations and blood glucose were examined, and the protein and mRNA expression levels of SHIP2, p85 and Akt in the liver were measured using RT-qPCR and immunohistochemical staining. Results: Rats exposed to CIS exhibited depression-like behaviours, decreased levels of plasma insulin, CHOL, LDL-C, TG and HDL-C, and increased blood glucose. Increased SHIP2 expression and reduced Akt, p-Akt and p85 expression were also observed in the liver. Xiaoyaosan exerted antidepressant effects and effectively reversed the changes caused by CIS. Conclusions: These results suggest that Xiaoyaosan attenuates depression-like behaviours and ameliorates stress-induced abnormal levels of insulin, blood glucose, CHOL, LDL-C and HDL-C in the plasma of stressed rats, which may be associated with the regulation of SHIP2 expression to enhance PI3K/Akt signalling activity in the liver.

Chronic and acute stress monitoring by electrophysiological signals from adrenal gland

We present electrophysiological (EP) signals correlated with cellular cell activities in the adrenal cortex and medulla using an adrenal gland implantable flexible EP probe. With such a probe, we could observe the EP signals from the adrenal cortex and medulla in response to various stress stimuli, such as enhanced hormone activity with adrenocorticotropic hormone, a biomarker for chronic stress response, and an actual stress environment, like a forced swimming test. This technique could be useful to continuously monitor the elevation of cortisol level, a useful indicator of chronic stress that potentially causes various diseases.

The effect of the stress hormone cortisol on the metatranscriptome of the oral microbiome

Imbalances of the microbiome, also referred to as microbial dysbiosis, could lead to a series of different diseases. One factor that has been shown to lead to dysbiosis of the microbiome is exposure to psychological stressors. Throughout evolution microorganisms of the human microbiome have developed systems for sensing host-associated signals such as hormones associated with those stressors, enabling them to recognize essential changes in their environment, thus changing their expression gene profile to fit the needs of the new environment. The most widely accepted theory explaining the ability of hormones to affect the outcome of an infection involves the suppression of the immune system. Commensal microbiota is involved in stressor-induced immunomodulation, but other biological effects are not yet known. Here we present the impact that cortisol had on the community-wide transcriptome of the oral community. We used a metatranscriptomic approach to obtain first insights into the metabolic changes induced by this stress hormone as well as which members of the oral microbiome respond to the presence of cortisol in the environment. Our findings show that the stress hormone cortisol directly induces shifts in the gene expression profiles of the oral microbiome that reproduce results found in the profiles of expression of periodontal disease and its progression.

Biological and Psychological Perspectives of Resilience: Is It Possible to Improve Stress Resistance?

The term “resilience” refers to the ability to adapt successfully to stress, trauma and adversity, enabling individuals to avoid stress-induced mental disorders such as depression, posttraumatic stress disorder (PTSD) and anxiety. Here, we review evidence from both animal models and humans that is increasingly revealing the neurophysiological and neuropsychological mechanisms that underlie stress susceptibility, as well as active mechanisms underlying the resilience phenotype. Ultimately, this growing understanding of the neurobiological mechanisms of resilience should result in the development of novel interventions that specifically target neural circuitry and brain areas that enhance resilience and lead to more effective treatments for stress-induced disorders. Stress resilience can be improved, but the outcomes and effects depend on the type of intervention and the species treated.

The TALENT II study: a randomized controlled trial assessing the impact of an individual health management (IHM) on stress reduction

Background

Unfavorable lifestyle factors influence the risk of stress disorders. For risk reduction, lifestyle modifications, such as regular physical activity, balanced nutrition and competence in stress management, are a means of choice. The clinical study examines the efficacy of an intensive lifestyle intervention, named Individual Health Management (IHM), − with regard to a reduction of perceived stress. The study is supported by the major regional health insurance, which conducts, in cooperation with the Traditional Chinese Medicine (TCM) hospital, Bad Kötzting, a local model project offering insurants the IHM program as prevention measure against stress and related aftermath.

Methods

The study is a controlled, randomized, monocentric trial with a 12-months intervention phase. Feasible persons are checked according to inclusion and exclusion criteria and assigned to the intervention or control group. Randomization ratio is 1:1. (A) Participants of the intervention group receive the lifestyle program IHM, have access to a web-based health portal (www.viterio.de), and join 3 full-day and 10 two-hour training sessions during the first 3 months. During the remaining 9 months, 4 training sessions and a weekly monitoring are performed with remote assistance. Besides measurement of perceived stress, examinations include burnout symptoms, heart rate variability, laboratory and physical findings. Further patient reported outcomes are documented (e.g. well-being, life satisfaction, severity of mood state, sense of coherence, psycho-vegetative test, cardio-metabolic risk factors, hypertension and diabetes risk. (B) Participants in the control group have access to the intensive lifestyle intervention IHM after a waiting period of at least 6 months. Examinations are conducted at baseline, after 3 and 6 months and in the intervention group additionally after 9 and 12 months. The confirmatory analysis examines the differences between the two groups with regard to changes in perceived stress after 6 months compared to the initial value.

Discussion

In order to enhance adherence, avoid attrition and to insure data quality, different measures will be implemented in the study. Based on a blended learning concept including a web-based e-health tool named VITERIO®, the program promises to achieve sustainable effects in perceived stress.

Trial registration

German Clinical Trial Register Freiburg (DRKS): DRKS00013040 (date registered 2017–10-1).

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5756-3) contains supplementary material, which is available to authorized users.

The impact of probiotics' administration on glycemic control, body composition, gut microbiome, mitochondria, and other hormonal signals in adolescents with prediabetes - A randomized, controlled trial study protocol

Background

Recent studies have demonstrated that a significant proportion of adolescents exhibit abdominal obesity in early–middle adolescence, and impaired glucose metabolism. Dysregulation of glucose metabolism is aggravated by the existing osteosarcopenia not only in obese but also in overweight youth. Biochemical inflammation, derived from glucose metabolism dysregulation, in combination with increased stress levels lead to the accumulation of reactive oxygen species, also known as ROS, which seem to afflict the integrity of the gastrointestinal wall, gut mucosa, and commensal, intestinal gut microflora. The current scientific protocol aims to assess the administration of probiotics in prediabetic adolescents in relation with their glycemic control, body composition, and intestinal microbiome.

Methods/Design

This is a study protocol of a two-armed RCT, that recruits adolescents with prediabetes, who will receive either a 4-month, life-style intervention, or a life-style intervention along with a probiotic supplement. The primary outcome is the differences in gut microbiome synthesis, body composition analysis parameters, and concentrations of hormones, before and after the intervention.

Discussion

This study aims to halt the progression of obesity and diabetes and aspires to contribute new evidence for upgraded treatment of obesity and diabetes.

Trial registration

Australian New Zealand Clinical Trial Registry (ACTRN12615000470594).

Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes

PURPOSE OF REVIEW

The review summarizes the current state of the artificial pancreas (AP) systems and introduces various new modules that should be included in future AP systems.

RECENT FINDINGS

A fully automated AP must be able to detect and mitigate the effects of meals, exercise, stress and sleep on blood glucose concentrations. This can only be achieved by using a multivariable approach that leverages information from wearable devices that provide real-time streaming data about various physiological variables that indicate imminent changes in blood glucose concentrations caused by meals, exercise, stress and sleep. The development of a fully automated AP will necessitate the design of multivariable and adaptive systems that use information from wearable devices in addition to glucose sensors and modify the models used in their model-predictive alarm and control systems to adapt to the changes in the metabolic state of the user. These AP systems will also integrate modules for controller performance assessment, fault detection and diagnosis, machine learning and classification to interpret various signals and achieve fault-tolerant control. Advances in wearable devices, computational power, and safe and secure communications are enabling the development of fully automated multivariable AP systems.

Depression and anxiety after 2 years of follow-up in patients diagnosed with diabetes or rheumatoid arthritis

We studied emotional health in patients with diabetes mellitus (n = 89) or rheumatoid arthritis (n = 100) aged 18–65 years, at the time of diagnosis and after 24 months. Predictors for depression or anxiety according to the Hospital Anxiety and Depression scale after 2 years were assessed by logistic regression, with psychosocial factors and coping as dependent factors. There were many similarities between patients with diabetes mellitus or rheumatoid arthritis. Having children at home, low score on the Sense of Coherence scale, and high score on the coping strategy “protest” were important risk factors for depression and anxiety after 2 years.

Police-Recorded Crime and Perceived Stress among Patients with Type 2 Diabetes: the Diabetes Study of Northern California (DISTANCE)

While stress has been linked to poor health outcomes, little is known about the impact of objective measures of neighborhood crime on stress in patients with chronic disease. Using the Kaiser Permanente Diabetes Study of Northern California (DISTANCE), we examined associations between police-recorded crime (2005-2007) and stress (Perceived Stress Scale-4) in four large Northern California cities (Oakland, Sacramento, San Francisco, and San Jose). We performed stratified analysis by gender and race/ethnicity using generalized linear regression models. In our study sample (n = 3188, mean age 59, range 30-77), 10 % reported high stress. In adjusted analyses, higher neighborhood all crimes rate was associated with modest increase in high stress for African-American (OR = 1.10; 95 % CI 1.02-1.22) and Latina women (OR = 1.36; 95 % CI 1.10-1.67) and property crime showed similar associations with stress for these groups of women. Visible crime was associated with stress only for Latina women (OR = 1.43; 95 % CI 1.14-1.78). We found no association between crime and stress among men or other racial/ethnic groups of women. High crime levels may disproportionately impact health among certain subpopulations. Studies using additional measures of stress are necessary to differentiate the health impact of crime-related stress from other forms of stressors among individuals living with diabetes.

Effect of pertussis toxin pretreated centrally on blood glucose level induced by stress

In the present study, we examined the effect of pertussis toxin (PTX) administered centrally in a variety of stress-induced blood glucose level. Mice were exposed to stress after the pretreatment of PTX (0.05 or 0.1 µg) i.c.v. or i.t. once for 6 days. Blood glucose level was measured at 0, 30, 60 and 120 min after stress stimulation. The blood glucose level was increased in all stress groups. The blood glucose level reached at maximum level after 30 min of stress stimulation and returned to a normal level after 2 h of stress stimulation in restraint stress, physical, and emotional stress groups. The blood glucose level induced by cold-water swimming stress was gradually increased up to 1 h and returned to the normal level. The intracerebroventricular (i.c.v.) or intrathecal (i.t.) pretreatment with PTX, a Gi inhibitor, alone produced a hypoglycemia and almost abolished the elevation of the blood level induced by stress stimulation. The central pretreatment with PTX caused a reduction of plasma insulin level, whereas plasma corticosterone level was further up-regulated in all stress models. Our results suggest that the hyperglycemia produced by physical stress, emotional stress, restraint stress, and the cold-water swimming stress appear to be mediated by activation of centrally located PTX-sensitive G proteins. The reduction of blood glucose level by PTX appears to due to the reduction of plasma insulin level. The reduction of blood glucose level by PTX was accompanied by the reduction of plasma insulin level. Plasma corticosterone level up-regulation by PTX in stress models may be due to a blood glucose homeostatic mechanism.

Chronic stress accelerates ligature-induced periodontitis by suppressing glucocorticoid receptor-α signaling

Periodontitis is a common chronic inflammatory disease. Recent studies have shown that chronic stress (CS) might modulate periodontal disease, but there are few models of CS-induced periodontitis, and the underlying mechanisms are unclear. The present study established a rat model of periodontitis associated with CS induced by nylon thread ligatures. The severity of periodontitis was evaluated in this model by radiographic and pathological examination. The inflammatory reaction indicated by the elevated serum levels of interleukin (IL)-1β, IL-6 and IL-8 was assessed by enzyme-linked immunosorbent assay. Toll-like receptor-4 (TLR4) and glucocorticoid receptor-α (GR-α) expressions were detected by reverse transcriptase-PCR and western blotting. Open-field tests and serum corticosterone were used to evaluate CS. The results showed that CS induced behavioral changes and increased corticosterone levels of the animals with periodontitis. CS stimulation markedly increased alveolar bone loss, periodontal pocket depth and the number of plaques. It also enhanced the inflammatory reaction. These results suggest that CS accelerated the ligature-induced pathological changes associated with periodontitis. Further analysis of the mechanisms involved showed that GR-α expression was significantly downregulated in periodontal tissues of the animals undergoing CS. Blocking GR-α signaling in lipopolysaccharide and corticosteroid-treated human periodontal ligament fibroblast cells in vitro significantly upregulated the expression of p-Akt (protein kinase B) and TLR4, promoted nuclear factor-κB activity and increased levels of IL-1β, IL-6 and IL-8. This research suggests that CS might accelerate the pathological progression of periodontitis by a GR-α signaling-mediated inflammatory response and that this may be a potential therapeutic target for the treatment of periodontal disease, particularly in patients with CS.

Promising link between selenium and peroxisome proliferator activated receptor gamma in the treatment protocols of obesity as well as depression

Considerable interest has been given to the significance of peroxisome proliferator activated receptors (PPARs) in macronutrient metabolism, however, there is not sufficient data concerning the interactions between PPARs and micronutrients. Investigations performed on PPARγ and one of the essential micronutrients selenium (Se) have shown that both parameters may lead to alterations in obesity-related or mood disorders. Therefore, it is plausible to consider PPARγ and Se together as a powerful combination during the treatment of two associated diseases; obesity and depression. PPARγ has been shown to be involved in the antidepressant-like activity. It is also an important parameter to be considered in obesity as the master regulator of adipogenesis. The mechanism of action of PPARγ is initiated by ligand binding which induces a conformational change in the receptor. Se is capable of alleviating inflammatory signaling pathways. Obesity is associated with chronic low-grade inflammation. Depression is also defined as an inflammatory disorder. Inflammatory mediators such as tumor necrosis factor-alpha (TNFα) participate in the progression of depression. They are also obesity-associated parameters. Due to TNFα induced depressive-like behaviors and the positive association between this proinflammatory cytokine and obesity, TNFα-activated signaling pathways and those inhibiting them have recently gained importance as potential targets and therapeutic tools, respectively. More studies are necessary to develop compounds with therapeutic nature against depressive disorders and obesity. PPARγ is an important signaling pathway that occurs at the crossroads of depression and obesity. Se, aside from its anti-inflammatory, anticarcinogenic and antioxidative nature, affects also the way of PPARγ action. Se supplementation or fortification as well as the development of the partial agonists of PPARγ in which lipophilic Se compounds are used as ligand followed by experimental trials and human studies using the newly developed compounds will be promising approaches for future hope during the treatment of these diseases.

Chronic stress, inflammation, and glucose regulation in U.S. Hispanics from the HCHS/SOL Sociocultural Ancillary Study

Diabetes prevalence is rising rapidly, and diabetes disproportionately affects Hispanics and other underserved groups. Chronic stress may contribute to diabetes risk, but few studies have examined this relationship in U.S. Hispanics. We examined associations of chronic stress with fasting glucose, glucose tolerance, and glycosylated hemoglobin (HbA1c) in Hispanics without diabetes, and also assessed indirect effects of stress through inflammation (CRP). Participants were 3,923 men and women, aged 18-74, without diabetes, from the four U.S. field centers (Bronx, NY; Chicago, IL; Miami, FL; San Diego, CA) of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sociocultural Ancillary study. Participants completed a measure of chronic life stress and a physical exam with oral glucose tolerance test. In a multivariate regression analysis with adjustment for demographic and health covariates, higher chronic stress was related to higher fasting glucose (standardized regression coefficient: β = .09, p < .01), postload glucose (β = .07, p < .05), and HbA1c levels (β = .08, p < .01). However, there was no indirect effect of stress through inflammation. Findings suggest that higher chronic stress is associated with poorer glucose regulation in Hispanics, prior to the onset of a clinical diabetes diagnosis.

Post-traumatic stress disorder, coping strategies and type 2 diabetes: psychometric assessment after L'Aquila earthquake

AIM

After natural and collective catastrophes, many behavioral phenomena can occur through psychobiological responses that involve also the diabetic condition.The aim of this study was to investigate post-traumatic stress disorder (PTSD) and coping strategies in type 2 diabetic patients after L'Aquila earthquake, with a particular attention to the newly diagnosed patients and to the gender differences.

METHODS

Among the local diabetic population, we recruited 100 diabetic patients (46 women and 54 men). Sixty of these had diabetes before the earthquake (pre-quake patients), and other 40 received diabetes diagnosis after the earthquake (post-quake patients). A psychometric protocol composed by Davidson Trauma Scale for PTSD and Brief-COPE for coping strategies was administered.

RESULTS

We found significant differences in the levels of PTSD when comparing both post-quake with pre-quake patients (post-quake = 51.72 ± 26.05 vs. pre-quake = 31.65 ± 22.59; p < 0.05) and the female patients with males (women = 53.50 ± 27.01 vs. men = 31.65 ± 23.06; p < 0.05) and also in the prevalence [post-quake = 27/40 (67.5 %) vs. pre-quake = 20/60 (33.3 %); p < 0.05], [women = 27/46 (58.69 %) vs. men = 16/54 (29.62 %); p < 0.05]. Moreover, maladaptive coping was a predictive factor for PTSD in the post-quake group only (OR 1.682; 95 % CI 1.155-2.450; p = 0.006).

CONCLUSIONS

Our results revealed that PTSD may be considered an important comorbidity factor in newly diagnosed patients and in diabetic women. Hence, a psychological support seems particularly important in these patients after a collective traumatic event to help them react to both PTSD and diabetes and to help them improve their coping skills.

Toxic stress, inflammation and symptomatology of chronic complications in diabetes

Diabetes affects at least 382 million people worldwide and the incidence is expected to reach 592 million by 2035. The incidence of diabetes in youth is skyrocketing as evidenced by a 21% increase in type 1 diabetes and a 30.5% increase in type 2 diabetes in the United States between 2001 and 2009. The effects of toxic stress, the culmination of biological and environmental interactions, on the development of diabetes complications is gaining attention. Stress impacts the hypothalamus-pituitary-adrenal axis and contributes to inflammation, a key biological contributor to the pathogenesis of diabetes and its associated complications. This review provides an overview of common diabetic complications such as neuropathy, cognitive decline, depression, nephropathy and cardiovascular disease. The review also provides a discussion of the role of inflammation and stress in the development and progression of chronic complications of diabetes, associated symptomatology and importance of early identification of symptoms of depression, fatigue, exercise intolerance and pain.

Neuropeptide y attenuates stress-induced bone loss through suppression of noradrenaline circuits

Chronic stress and depression have adverse consequences on many organ systems, including the skeleton, but the mechanisms underlying stress-induced bone loss remain unclear. Here we demonstrate that neuropeptide Y (NPY), centrally and peripherally, plays a critical role in protecting against stress-induced bone loss. Mice lacking the anxiolytic factor NPY exhibit more anxious behavior and elevated corticosterone levels. Additionally, following a 6-week restraint, or cold-stress protocol, Npy-null mice exhibit three-fold greater bone loss compared to wild-type mice, owing to suppression of osteoblast activity. This stress-protective NPY pathway acts specifically through Y2 receptors. Centrally, Y2 receptors suppress corticotropin-releasing factor expression and inhibit activation of noradrenergic neurons in the paraventricular nucleus. In the periphery, they act to control noradrenaline release from sympathetic neurons. Specific deletion of arcuate Y2 receptors recapitulates the Npy-null stress response, coincident with elevated serum noradrenaline. Importantly, specific reintroduction of NPY solely in noradrenergic neurons of otherwise Npy-null mice blocks the increase in circulating noradrenaline and the stress-induced bone loss. Thus, NPY protects against excessive stress-induced bone loss, through Y2 receptor-mediated modulation of central and peripheral noradrenergic neurons.

Stressful life events and type 2 diabetes

OBJECTIVES

The purpose of this study is to compare cases with type 2 diabetes and their controls for the frequency of stressful life events and social support before the occurrence of the disease.

METHODS

The study of cases and their controls was undertaken in Belgrade. A case group comprised 179 subjects in whom type 2 diabetes was for the first time diagnosed in the 'Savski Venac' Medical Center during the period 2005-2007 year. The diagnosis was made by a specialist of internal medicine according to criteria of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. For each case two controls were chosen among patients with trauma (fracture, reposition, internal/external fixation) who were treated at the 'Banjica' Institute for Orthopedic-Surgical Diseases during the same period. Cases and controls were matched by sex, age (±2 years) and place of residence (Belgrade). Data were collected on demographic characteristics, habits, personal history, stressful life events, social support and family medical history.

RESULTS

According to multivariate analysis low social support in personal history, such as relatives/friends help and financial assistance in solving problems, and bad management of monthly income were significantly positively related to type 2 diabetes. However, significantly more controls than cases had no financial insurance in case of urgent need

CONCLUSION

Examine psychosocial factors play a role in the development of type 2 diabetes.

Utilization of blood glucose data in patient education

Many studies have tested clinical and behavioral approaches for improving glycemic control in people with diabetes. We reviewed studies to identify how blood glucose (BG) values have been used in patient-focused clinical research and interventions. We sought to describe the frequency that BG values have been the focus of patient education research and to characterize the different methods to integrate BG into an intervention, the approaches implemented to support patient education, and behavior change, and the nature of communication about BG values. Thirty-four eligible studies were identified that included patient education using BG values. Information regarding the study and intervention characteristics include: (1) characteristics of the study sample, (2) how BG values were obtained, (3) use of a graphical interface for BG values, (4) use of a BG log, (5) BG interpretation and regimen adjustments, (6) recommended actions to patient, (7) modality of intervention, and (8) intervention communication schedule. The review demonstrated that new BG technologies provide outstanding opportunities for greater access to BG data, and for patient support and intervention. However, it also indicated a need to improve and expand support for people with diabetes in their daily use of BG values to maintain and improve glycemic control. In order to make the most sustainable impact on behavior, generalizable skills such as problem solving need to be integrated into BG education.

Institutional point-of-care glucometer identifies population trends in blood glucose associated with war

BACKGROUND

Acute physiological stress has been shown to impair glucose homeostasis. War is a period of acute psychological stress, and its effect on glucose control is unknown. In this study random point-of-care (POC) glucose levels were measured using an automated, institutional glucometer in hospitalized adult patients prior to versus during the Israeli Pillar of Defense campaign (November 7-10, 2012).

SUBJECTS AND METHODS

Random POC glucose values measured with the institutional blood glucose monitoring system were obtained 1 week prior to the Pillar of Defense campaign (November 7-10, 2012) and compared with values to those obtained during the first 4 days of the war (November 14-17, 2012).

RESULTS

In total, 3,573 POC glucose measures were included: 1,865 during the pre-war period and 1,708 during the campaign. POC glucose measures were significantly higher during the war compared with the week preceding the war: 9.7±4.7 versus 9.3±4.2 mmol/L (P=0.02). In a general linear model, period (pre-war vs. during war) persisted as a significant predictor of POC glucose even after controlling for age, sex, and department type (internal medicine vs. surgical).

CONCLUSIONS

Acute stress, such as a wartime situation, is associated with a significant increase in random blood glucose values in a population of hospitalized adults. Long-term follow-up of the individuals hospitalized during these two periods can reveal differences in morbidity and mortality trends.