Benchmarking the Humidity-Dependent Mechanical Response of (Nano)fibrillated Cellulose and Dissolved Polysaccharides as Sustainable Sand Amendments.

Soil quality is one of the main limiting factor in the development of the food sector in arid areas, mainly due to its poor mechanics and lack of water retention. Soil's organic carbon is nearly absent in arid soils, though it is important for water and nutrient transport, to soil mechanics, to prevent erosion, and as a long-term carbon sink. In this study, we evaluate the potential benefits that are brought to inert sand by the incorporation of a range of, mainly, cellulosic networks in their polymeric or structured (fiber) forms, analogously to those found in healthy soils. We explore the impact of a wide range of nonfood polysaccharide-based amendments, including pulp fibers, nanocellulose, cellulose derivatives, and other readily available polysaccharide structures derived from arthropods (chitosan) or fruit peels (pectin) residues. A practical methodology is presented to form sand-polymer composites, which are evaluated for their soil mechanics as a function of humidity and the dynamics of their response to water. The mechanics are correlated to the network of polymers formed within the pores of the sandy soil, as observed by electron microscopy. The response to water is correlated to both the features of the network and the individual polysaccharides' physicochemical features. We expect this work to provide a rapid and reproducible methodology to benchmark sustainable organic amendments for arid soils.

The Association Between Smartphone Addiction/Overuse With Hand and Wrist Musculoskeletal Complaints, Saudi Arabia.

Introduction Smartphones have integrated seamlessly into our daily lives in various aspects. When a smartphone is used frequently for communication or internet access, it becomes addictive, which increases the risk of musculoskeletal problems in the hand, wrist, and thumb. Aim This research aimed to examine if there is a connection between excessive smartphone use and discomfort in the thumb and wrist. Subject and methods This cross-sectional study was conducted among the general population of Saudi Arabia. A self-administered questionnaire translated into Arabic was distributed among the targeted population using an online survey. The questionnaire includes three sections, including socio-demographic data (e.g., age, gender, nationality, etc.), assessment of smartphone addiction by using the smartphone addiction scale short-version (SAS-SV), and assessment of wrist/hand pain using the patient-rated wrist and hand evaluation (PRWHE). Results Of the 3057 recruited participants, 1938 (63.4%) were females, and 3025 (99%) were aged between 18 and 65 years old. Perceived pain in the wrist or hand due to excessive usage of a smartphone was reported by 1728 (56.5%) of respondents. The overall mean SAS-SV score was 24.4 (SD 7.47) out of 50 points. The prevalence of smartphone addiction among the general population was 874 (28.6%). Increased SAS-SV and PRWHE scores were associated with respondents living outside Eastern region and using phones for 10 hours or more daily. Conclusion The prevalence of smartphone addiction in this study was 874 (28.6%), directly associated with wrist and hand pains. Musculoskeletal complaints due to smartphone addiction were more prevalent among respondents living outside Eastern Region who spent more time using their phones. A longitudinal study is required to establish the link between smartphone addiction and musculoskeletal complaints among the general population.

Women's Knowledge and Attitudes Regarding the Risk Factors and Warning Signs of Breast Cancer in the Eastern Province, Saudi Arabia: A Cross-Sectional Study.

Introduction Breast cancer is the leading type of cancer in women globally, contributing significantly to cancer-related deaths. In Saudi Arabia, it ranks as the second most common cancer among women. Studies have highlighted a lack of awareness about breast cancer, negatively impacting breast self-examination practices. The Eastern Province has particularly high incidence rates. Knowledge of risk and protective factors can aid in prevention and early detection. While some studies show good awareness, this research aims to assess women's knowledge and attitudes about breast cancer risk factors and warning signs in the Eastern Province. Methodology This is a cross-sectional study conducted in Saudi Arabia's Eastern Province from June to October 2023 to assess breast cancer awareness among adult females. Data were collected via an online survey. Data were cleaned in MS Excel (Microsoft Corporation, Redmond, Washington) and analyzed in IBM SPSS Statistics for Windows, Version 23 (Released 2015; IBM Corp., Armonk, New York). Results Our study assessed breast cancer awareness in 697 participants in Saudi Arabia's Eastern Province. Most were aged 20-24 years (30.3%), married (49.2%), and Saudi nationals (97.6%), with higher education (59.4%). Significantly, 69.2% received education on breast cancer risk factors/signs. Some had personal breast cancer diagnoses (5.0%), and 31.7% had affected family members. Participants showed good awareness of various risk factors and warning signs. Significant associations were found between nationality, personal breast cancer diagnosis, and knowledge and attitudes about risk factors. Age, marital status, occupation, education on breast cancer, and personal breast cancer diagnosis influenced knowledge and attitudes about warning signs. Conclusion Our study findings indicate generally good awareness of breast cancer risk factors and warning signs among participants. Age, marital status, occupation, education on breast cancer, and personal breast cancer diagnosis influenced knowledge and attitudes about risk factors and warning signs. Educational efforts should target lesser-known risk factors to enhance prevention and early detection.

Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy.

BACKGROUND AND PURPOSE: Accurate and consistent delineation of cardiac substructures is challenging. The aim of this work was to validate a novel segmentation tool for automatic delineation of cardiac structures and subsequent dose evaluation, with potential application in clinical settings and large-scale radiation-related cardiotoxicity studies. MATERIALS AND METHODS: A recently developed hybrid method for automatic segmentation of 18 cardiac structures, combining deep learning, multi-atlas mapping and geometric segmentation of small challenging substructures, was independently validated on 30 lung cancer cases. These included anatomical and imaging variations, such as tumour abutting heart, lung collapse and metal artefacts. Automatic segmentations were compared with manual contours of the 18 structures using quantitative metrics, including Dice similarity coefficient (DSC), mean distance to agreement (MDA) and dose comparisons. RESULTS: A comparison of manual and automatic contours across all cases showed a median DSC of 0.75-0.93 and a median MDA of 2.09-3.34 mm for whole heart and chambers. The median MDA for great vessels, coronary arteries, cardiac valves, sinoatrial and atrioventricular conduction nodes was 3.01-8.54 mm. For the 27 cases treated with curative intent (planned target volume dose ≥50 Gy), the median dose difference was -1.12 to 0.57 Gy (absolute difference of 1.13-3.25%) for the mean dose to heart and chambers; and -2.25 to 4.45 Gy (absolute difference of 0.94-6.79%) for the mean dose to substructures. CONCLUSION: The novel hybrid automatic segmentation tool reported high accuracy and consistency over a validation set with challenging anatomical and imaging variations. This has promising applications in substructure dose calculations of large-scale datasets and for future studies on long-term cardiac toxicity.

Barriers to Undergoing Body-Contouring Surgery Following Bariatric Surgery in Saudi Arabia.

Introduction The prevalence of obesity has experienced a significant global increase in recent years, emerging as a prominent worry affecting numerous individuals throughout various countries, including Saudi Arabia. Bariatric surgery, a common treatment, often leads to excess skin. Despite its benefits, few patients choose body contouring surgery. A cross-sectional study aims to identify barriers, including socioeconomic and psychological factors. Methodology This is a cross-sectional study conducted in Saudi Arabia. Participants included those who underwent bariatric surgery. Data were collected through questionnaires and analyzed by Statistical Product and Service Solutions (SPSS, version 29) (IBM SPSS Statistics for Windows, Armonk, NY). Results Our study involved 662 Saudi participants with post-bariatric surgery, primarily females (386, 58.3%), aged 19-29 (44.3%). Most had undergone bariatric surgery (558, 84.3%), mainly gastric sleeve (485, 73.3%). Excess skin was a common issue (311, 47.0%). Difficulties included rashes and emotional distress (e.g., depression). About 8.3% had body-contouring surgery, including body lifts (13, 23.6%) and liposuction (19, 34.5%). Factors influencing surgery decisions included self-confidence (123, 18.6%) and cost (9.9%). Barriers for 32.2% considering surgery included cost (80.2%) and fear of a second surgery (45.6%). Females (67.1%), Saudis (85.4%), and employed individuals (49.3%) were more likely to consider surgery (p < 0.05). Conclusion Our study highlights the complexity of body-contouring decisions after bariatric surgery in Saudi Arabia. Cost and fear were barriers; females, Saudis, and employed individuals were more likely to consider surgery. A patient-centered approach, addressing barriers, and offering support are crucial for informed choices and improved well-being.

People's Knowledge and Attitudes About Factors That Can Impact Wound Healing in the Eastern Province, Saudi Arabia.

Background Wounds, ranging from acute to chronic, demand timely intervention to prevent complications. Infections can impede healing, leading to sepsis. Chronic wounds impact society, causing limitations in mobility and social exclusion. Early identification of infections is crucial for effective treatment, reducing unnecessary antibiotic use, and improving patient outcomes. Methodology This cross-sectional study was conducted from June to October 2023 in Saudi Arabia using a self-administered online questionnaire to assess wound healing knowledge and attitudes. Convenient random sampling via social media was employed to collect data. Data analysis was performed using SPSS version 23 (IBM Corp., Armonk, NY, USA). Results Our study predominantly featured female (67.1%), Saudi (94.8%), aged 18-25 years (42.0%), and married (51.1%) participants. Chronic illnesses were prevalent in 24.2%, with heart disease (5.7%) and hypertension (4.5%) being notable. Burn injuries (27.4%) and upper extremity wounds (40.9%) were common, prompting immediate medical care (54.1%). Internet sources (22.6%) and relatives/friends (18.4%) were key for wound care information. Participants displayed solid awareness of wound-related factors, with notable misconceptions regarding Zamzam water (44.4%) and coffee beans (39.3%). Participants prioritized stopping bleeding (41.1%) and using wound patches (42.1%) for home injuries. Age group, education, marital status, and occupation impacted knowledge about wound healing. Conclusions Our study highlights key demographics, prevalent chronic illnesses, common wound types, and crucial sources of wound care information. Participants' awareness, coupled with notable misconceptions, emphasizes the importance of tailored education. Factors such as age, education, marital status, and occupation impact knowledge about wound healing.

Genome-Wide Association Study (GWAS) of White Mold Resistance in Snap Bean.

White mold can result in snap bean yield losses of 90 to 100% when field conditions favor the pathogen. A genome-wide association study (GWAS) was conducted to detect loci significantly associated with white mold resistance in a panel of snap bean (Phaseolus vulgaris L.) cultivars. Two populations of snap bean were used in this study. The first population was the BeanCAP (Coordinated Agriculture Project) Snap Bean Diversity Panel (SBDP) (n = 136), and the second population was the Snap Bean Association Panel (SnAP) (n = 378). SBDP was evaluated for white mold reaction in the field in 2012 and 2013, and SnAP was screened in a greenhouse only using the seedling straw test in 2016. Two reference genomes representing the Andean and Middle American centers of domestication were utilized to align the genotyping-by-sequencing (GBS) data. A GWAS was performed using FarmCPU with one principal component after comparing five models. Thirty-four single-nucleotide polymorphisms (SNPs) significantly associated with white mold resistance were detected. Eleven significant SNPs were identified by the seedling straw test, and 23 significant SNPs were identified by field data. Fifteen SNPs were identified within a 100 kb window containing pentatricopeptide repeat (PPR)-encoding genes, and eleven were close to leucine-rich repeat (LRR)-encoding genes, suggesting that these two classes are of outsized importance for snap bean resistance to white mold.

Quality of Life and Disability Among Migraine Patients: A Single-Center Study in AlAhsa, Saudi Arabia.

Background Migraine is a major public health issue that leads to frequent visits to medical care. It is generally considered a disabling disease among individuals below the age of 50 years old predominantly seen in females. Migraine headache has a strong influence on disability, functional impairments, and psychological effects. The majority of the physicians fail to address the degree and extent of impediment caused by a migraine, which contributes to low quality of life and disability. Thus, this study aims to assess the health-related quality of life (QOL) and disability among migraine sufferers in AlAhsa, Saudi Arabia. Material and methods This descriptive cross-sectional study was carried out in the neurology clinics at King Fahad Hospital-Hofuf, AlAhsa, Saudi Arabia, from May to August 2021. The data were collected through a self-administered questionnaire. The migraine-specific quality of life questionnaire (MSQ), version 2.1, was used. MSQ is measured in three domains, including role function restrictive (RR), preventive (RP), and emotional function (EF). Disability related to migraine was assessed by the Migraine Disability Assessment Test (MIDAS). MIDAS classifies disability from no disability to severe disability. Two-tailed with an alpha level of 0.05 considering the significance of a p-value less than or equal to 0.05. The mean scores of QOL domains were compared by one-way analysis of variance (ANOVA) and independent t-tests. Results A total of 101 out of 359 participants were identified to have a migraine. Eighty-two participants met the inclusion criteria, 75.6% were females. The age of the participants ranged from 18 to more than 45 years with a mean age of 36.4 ± 11.9 years old. The mean score of QOL in the restrictive, preventive, and emotional domains were 46.3% ± 21.5%, 52.1% ± 24.3%, and 61.5% ± 30.8%, respectively. More than half of the participants (57.3%) suffered from a severe disability caused by migraines as compared to 20.7% with a moderate disability. Low QOL scores were associated with females and a significant relationship was found between migraine-associated disability and patients' emotional function in QOL. Conclusion Clinicians should routinely evaluate disability related to migraine and QOL as a complementary approach to migraine patients to ensure that patients are receiving proper treatment and whether additional strategies are needed or not.

Differential Expression of microRNAs Correlates With the Severity of Experimental Autoimmune Cystitis.

Interstitial cystitis (IC)/bladder pain syndrome (BPS) primarily affects women. It varies in its severity and currently has no effective treatment. The symptoms of IC include pelvic pain, urgency and frequency of urination, and discomfort or pain in the bladder and lower abdomen. The bladders of IC patients exhibit infiltration by immune cells, which lends credence to the hypothesis that immune mechanisms also play a role in the etiology and pathophysiology of IC. The Differentially expressed microRNAs (miRs) in immune cells may serve as crucial immunoregulators in the IC. Therefore, we sought to determine whether miRs might play a regulatory role in the progression and pathogenesis of IC, using experimental autoimmune cystitis (EAC) model. In the present study, we observed differential expression of a specific subset of miRs in iliac lymph nodes (ILNs) and urinary bladders (UB) of IC mice compared to that in control mice. Microarray analysis of 96 miRs from the bladder and 135 miRs from ILNs allowed us to identify 50 that exhibited at least a 1.5-fold greater difference in expression in EAC mice compared to control mice. Hierarchical cluster analysis of the microarray data was used to search available databases to predict molecular pathways with which the miRs might interact. Four miRs from each organ that exhibited altered expression in EAC mice and that were predicted to have roles in inflammation (miR-146a, -181, -1931, and -5112) were selected for further analysis by reverse transcription-polymerase chain reaction (RT-PCR). All were confirmed to be elevated in EAC mice. Histological inflammatory scores, systemic chemokines, and cytokines expressed by T helper type 1 (Th1) lymphocytes were also elevated in EAC mice as compared to control animals. We hypothesize that the mechanism of EAC induction might involve the modulation of specific miRs that increase local and systemic levels of chemokines and cytokines. The present study identifies novel miRs expressed in UB and ILNs that will allow us to highlight mechanisms of EAC pathogenesis and may provide potential biomarkers and/or serve as the basis of new therapies for the treatment of IC.

Genotyping of Cytomegalovirus from Symptomatic Infected Neonates in Iraq.

Among all other viruses, human cytomegalovirus (HCMV) is the most frequent cause of congenital infection worldwide. Strain variation in HCMV may predict severity or outcome of congenital HCMV disease. Previous studies have associated a particular genotype with specific sequelae or more severe illness, but the results were contradictory. There are no previous studies addressing the genotype of HCMV in Iraq. Therefore, the present study is aimed at molecular detection and genotyping of HCMV isolated from symptomatic congenitally/perinatally infected neonates. This prospective study comprised 24 serum samples from symptomatic neonates with congenital/perinatal infection. Viral DNA was extracted from these serum samples; nested polymerase chain reaction was used to amplify the HCMV gB (UL55) gene. Polymerase chain reaction products of the second round of amplification were subjected to direct Sanger sequencing. Bioedit and MEGA5 software (EMBL-EBI, Hinxton, Cambridgeshire, UK) were used for alignment and construction of a phylogenetic tree. Human cytomegalovirus DNA was detected in 23 of 24 samples (95.8%). According to the phylogenetic analysis, three genotypes of the virus were identified; gB1, gB2, and gB3 genotypes. However, the gB4 genotype was not detected. Human cytomegalovirus gB3 was the most frequent genotype: 14 of 24 (58.33%) among symptomatic infected infants, followed by gB1 (6/24; 25%) and gB2 (4/24; 16.67%). A mixed HCMV infection with gB3/gB1 was detected in only one case. Human cytomegalovirus gB3 was the most predominant genotype among symptomatic congenitally/perinatally HCMV-infected neonates. No association was found between B3 genotype and specific clinical presentation. Jaundice was the most common clinical feature among symptomatically infected neonates, followed by hepatosplenomegaly.

Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images.

This paper presents an approach that combines conventional image processing with deep learning by fusing the features from the individual techniques. We hypothesize that the two techniques, with different error profiles, are synergistic. The conventional image processing arm uses three handcrafted biologically inspired image processing modules and one clinical information module. The image processing modules detect lesion features comparable to clinical dermoscopy information-atypical pigment network, color distribution, and blood vessels. The clinical module includes information submitted to the pathologist-patient age, gender, lesion location, size, and patient history. The deep learning arm utilizes knowledge transfer via a ResNet-50 network that is repurposed to predict the probability of melanoma classification. The classification scores of each individual module from both processing arms are then ensembled utilizing logistic regression to predict an overall melanoma probability. Using cross-validated results of melanoma classification measured by area under the receiver operator characteristic curve (AUC), classification accuracy of 0.94 was obtained for the fusion technique. In comparison, the ResNet-50 deep learning based classifier alone yields an AUC of 0.87 and conventional image processing based classifier yields an AUC of 0.90. Further study of fusion of conventional image processing techniques and deep learning is warranted.

Serotonin and serotonin transporter levels in autistic children.

OBJECTIVES: To assess the possible correlation between serotonin and serotonin transporter (SERT) with the autism severity and investigate the association between these parameters in autistic children to assess their possible role for diagnosis of autism severity. METHODS: A comparative cross-sectional study was carried out in the Chemistry and Biochemistry Department, College of Medicine, Al-Nahrain University, Baghdad, Iraq while the samples were taken from 60 male autistic children recruited to the Department of Pediatrics at Al-Sader Hospital, Baghdad, Iraq between November 2014 amd April 2015. Levels of serotonin and serotonin transporters (SERT) were determined in 60 male autistic Iraqi patients classified into mild, moderate and severe (20 for each). These levels were compared with those of 26 healthy control children. Results: Levels of serotonin and SERT were significantly increased in autistic children than that of gender and age-matched controls. Serotonin levels were 80.63± 21.83 ng/ml in mild, 100.39±23.07 ng/ml moderate, and 188.7±31.72 ng/ml severe autistic patients. Serotonin transporter levels were 10.13±4.51 ng/ml in mild, 13.15±4.71 ng/ml moderate, and 16.32±6.7 ng/ml in  severe autistic patients. The increase of both serotonin and SERT levels were associated with severity of autism. Receiver operating characteristic (ROC) analysis  can be used for diagnostic and prognostic purposes. CONCLUSIONS: High serotonin and SERT levels may indicate that these biomarkers have a role in the autism pathogenesis and support the possibility of using serotonin and SERT to diagnose autism severity.

Dual-hormone artificial pancreas: benefits and limitations compared with single-hormone systems.

Technological advances have made the artificial pancreas a reality. This has the potential to improve the lives of individuals with Type 1 diabetes by reducing the risk of hypoglycaemia, achieving better overall glucose control, and enhancing quality of life. Both single-hormone (insulin-only) and dual-hormone (insulin and glucagon) systems have been developed; however, a focused review of the relative benefits of each artificial pancreas system is needed. We reviewed studies that directly compared single- and dual-hormone systems to evaluate the efficacy of each system for preventing hypoglycaemia and maintaining glycaemic control, as well as their utility in specific situations including during exercise, overnight and during the prandial period. We observed additional benefits with the dual-hormone artificial pancreas for reducing the risk of hypoglycaemic events overall and during exercise over the study duration. The single-hormone artificial pancreas was sufficient for maintenance of euglycaemia in the overnight period and for preventing late-onset post-exercise hypoglycaemia. Future comparative studies of longer duration are required to determine whether one system is superior for improving mean glucose control, eliminating severe hypoglycaemia, or improving quality of life.

Reference values of two-dimensional and M-mode echocardiographic measurements as a function of body size in various equine breeds and in ponies.

INTRODUCTION: The aim of this study was to establish echocardiographic reference values for the equine species using allometric regression equations based on body weight (BW) and thoracic circumference (TC). ANIMALS: A total of 239 horses or ponies were studied, including 65 warmbloods, 33 Standardbreds, 41 Thoroughbreds, 32 Arabian horses, 28 draft horses, and 40 ponies aged from 1 day to 30 years, weighing from 18 to 890 kg, with no evidence of cardiac disease. METHODS: For each horse or pony, a two-dimensional and M-mode echocardiography was performed. Within each breed, the relationships between BW or TC and echocardiographic dimensions were examined using power regression equations. Predictions and their 95% prediction intervals were calculated for the echocardiographic measurements. RESULTS: Within each breed, all echocardiographic measurements showed a significant and positive relationship with a high coefficient of determination for the estimation of the regression equations using BW and TC as the main explanatory variables. Breed-specific power regression equations as well as the 95% prediction intervals were calculated for each echocardiographic measurement as a function of BW and TC. CONCLUSIONS: In the future, the body size-corrected and breed-specific echocardiographic reference values calculated in the present study could be used to discriminate between normal and abnormal values in a given animal.

Extreme tuning of wetting on 1D nanostructures: from a superhydrophilic to a perfect hydrophobic surface.

The tuning of wetting over an extreme range, from superhydrophilic to superhydrophobic, was demonstrated on 1D Al/Al2O3 nanostructures. While chaotic and tangled 1D Al/Al2O3 nanostructures exhibited complete wetting, they became water repellent (with a water contact angle (CA) ≥173°) after the infiltration of poly[bis(2,2,2-trifluoroethoxy)phosphazene] (PTFEP) solution. This simple strategy allows the achievement of two extreme wetting regimes, perfect wetting and non-wetting, without altering the nanostructured surface topography. The same surface was also found to exhibit repellency towards artificial blood and hexadecane.

BK Virus Load Associated with Serum Levels of sCD30 in Renal Transplant Recipients.

Background. Rejection is the main drawback facing the renal transplant operations. Complicated and overlapping factors, mainly related to the immune system, are responsible for this rejection. Elevated serum levels of sCD30 were frequently recorded as an indicator for renal allograft rejection, while BV virus is considered as one of the most serious consequences for immunosuppressive treatment of renal transplant recipients (RTRs). Aims. This study aimed to determine the association of BK virus load with serum levels of sCD30 in RTRs suffering from nephropathy. Patients and Methods. A total of 50 RTRs with nephropathy and 30 age-matched apparently healthy individuals were recruited for this study. Serum samples were obtained from each participant. Real-time PCR was used to quantify BK virus load in RTRs serum, while ELISA technique was employed to estimate serum levels of sCD30. Results. Twenty-two percent of RTRs had detectable BKV with mean viral load of 1.094E + 06 ± 2.291E + 06. RTRs showed higher mean serum level of sCD30 (20.669 ± 18.713 U/mL) than that of controls (5.517 ± 5.304 U/mL) with significant difference. BK virus load had significant positive correlation with the serum levels of sCD30 in RTRs group. Conclusion. These results suggest that serum levels of sCD30 could be used as an indicator of BK viremia, and accordingly the immunosuppressive regime should be adjusted.

Association of aerobic fitness level with exercise-induced hypoglycaemia in Type 1 diabetes.

AIM: To determine the impact of physical fitness level on hypoglycaemia risk during exercise in people with Type 1 diabetes. METHODS: A total of 44 patients [34 adults (aged 22-70 years) and 10 adolescents (aged 12-18 years)] with Type 1 diabetes, treated with insulin pump therapy, underwent a standardized exercise session. Cardiorespiratory fitness (maximum oxygen uptake) was measured and classified, based on established norms for age and sex, into either poor (< 25th percentile) or good fitness level (> 25th percentile). Plasma glucose levels were measured every 10 min, each patient performed physical activity at 60% maximum oxygen uptake either on a treadmill for 1 h or on a bicycle for 30 min. Frequency of hypoglycaemia (plasma glucose < 4 mmol/l) and decline in plasma glucose levels during exercise were assessed. RESULTS: In all, 23 patients had a good exercise fitness level. Hypoglycaemic events occurred in 17/23 patients (74.0%) in the good fitness level group compared with 8/21 patients (38.0%) in the poor fitness level group (P = 0.02). Both groups had similar pre-exercise plasma glucose levels. The plasma glucose values during exercise in the good fitness level group compared with the poor fitness level group were: plasma glucose nadir 3.9 ± 1.6 vs 5.5 ± 2.4 mmol/l (P = 0.01) and plasma glucose change -4.6 ± 3.4 vs. -2.1 ± 3.1 mmol/l (P = 0.01). The correlation between the plasma glucose nadir and maximum oxygen uptake was r = -0.38 (P = 0.01). CONCLUSIONS: Patients with good fitness level seem to be more prone to hypoglycaemia during exercise. This could be the result of better insulin sensitivity and the fact that they tend to exercise at greater work thresholds. These results are a step toward a better understanding of the association between physical fitness and exercise-induced hypoglycaemia.

Low oxytocin and melatonin levels and their possible role in the diagnosis and prognosis in Iraqi autistic children.

UNLABELLED:   OBJECTIVES: To test the possible association between oxytocin and melatonin levels with the severity of social and cognitive dysfunctions, and to study the correlation between these parameters in children with autism. METHODS: A case-control study was carried out in the Department of Chemistry and Biochemistry, College of Medicine, Al-Nahrain University, Baghdad, Iraq. The study was performed on 60 male autistic patients recruited from the Pediatric Department of Al-Sader General Hospital, Baghdad, Iraq between November 2014 and April 2015. The levels of oxytocin and melatonin were measured in the serum of these autistic male patients, and categorized as mild, moderate, and severe (20 patients each), and was compared with 26 age- and gender-matched control subjects. RESULTS: The data indicated that the levels of oxytocin (44.72 ± 36.1 µIU/mL) and melatonin in patients (23.08 ± 10.41 pg/mL) were significantly lower (p less than 0.05) than that of age-matched (102.1 ± 34.31 µIU/mL) and gender-matched controls (53.05 ± 38.38 pg/mL). These parameters were remarkably associated with the severity of the disease that was indicated by the significant decrease in the levels of oxytocin (47 ± 25.47 µIU/mL) and melatonin in moderate (20 ± 6.14 pg/mL), and patients with severe oxytocin (27.92 ± 10.23 µIU/mL) and patients with severe melatonin (21.69 ± 7.02 pg/mL) when compared with mild autistic patients with oxytocin (59.22 ± 27.32 µIU/mL) and melatonin (27.55 ± 14.71 pg/mL). These 2 parameters showed a significant positive correlation with each other in moderate (r=0.513; p=0.021), and severe patients (r=0.598; p=0.005).  CONCLUSION: Receiver operating characteristic analysis revealed that oxytocin can be considered as a good diagnostic marker in severe autistic patients while melatonin can be considered as a good diagnostic marker in all autistic subgroups. This study proves the possibility of using oxytocin and melatonin in the diagnosis, and as markers of autism severity.

Efficacy of dual-hormone artificial pancreas to alleviate the carbohydrate-counting burden of type 1 diabetes: A randomized crossover trial.

AIM: Carbohydrate-counting is a complex task for many patients with type 1 diabetes. This study examined whether an artificial pancreas, delivering insulin and glucagon based on glucose sensor readings, could alleviate the burden of carbohydrate-counting without degrading glucose control. METHODS: Twelve adults were recruited into a randomized, three-way, crossover trial (ClinicalTrials.gov identifier No. NCT01930097). Participants were admitted on three occasions from 7AM to 9PM and consumed a low-carbohydrate breakfast (women: 30g; men: 50g), a medium-carbohydrate dinner (women: 50g; men: 70g) and a high-carbohydrate lunch (women: 90g; men: 120g). At each visit, glucose levels were randomly regulated by: (1) conventional pump therapy; (2) an artificial pancreas (AP) accompanied by prandial boluses, matching the meal's carbohydrate content based on insulin-to-carbohydrate ratios (AP with carbohydrate-counting); or (3) an AP accompanied by prandial boluses based on qualitative categorization (regular or large) of meal size (AP without carbohydrate-counting). RESULTS: The AP without carbohydrate-counting achieved similar incremental AUC values compared with carbohydrate-counting after the low- (P=0.54) and medium- (P=0.38) carbohydrate meals, but yielded higher post-meal excursions after the high-carbohydrate meal (P=0.004). The AP with and without carbohydrate-counting yielded similar mean glucose levels (8.2±2.1mmol/L vs. 8.4±1.7mmol/L; P=0.52), and both strategies resulted in lower mean glucose compared with conventional pump therapy (9.6±2.0mmol/L; P=0.02 and P=0.03, respectively). CONCLUSION: The AP with qualitative categorization of meal size could alleviate the burden of carbohydrate-counting without compromising glucose control, although more categories of meal sizes are probably needed to effectively control higher-carbohydrate meals.