Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans

Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the characteristics of improper secretion of insulin in pancreas that results in high glucose level in blood. The disease is also associated with other complications such as cardiovascular disease, retinopathy, neuropathy and nephropathy. The development of computer aided decision support system is inevitable field of research for disease diagnosis that will assist clinicians for the early prognosis of diabetes and to facilitate necessary treatment at the earliest. In this research study, a Traditional Chinese Medicine based diabetes diagnosis is presented based on analyzing the extracted features of panoramic tongue images such as color, texture, shape, tooth markings and fur. The feature extraction is done by Convolutional Neural Network (CNN)—ResNet 50 architecture, and the classification is performed by the proposed Deep Radial Basis Function Neural Network (RBFNN) algorithm based on auto encoder learning mechanism. The proposed model is simulated in MATLAB environment and evaluated with performance metrics—accuracy, precision, sensitivity, specificity, F1 score, error rate, and receiver operating characteristics (ROC). On comparing with existing models, the proposed CNN based Deep RBFNN machine learning classifier model outperformed with better classification performance and proving its effectiveness.

A Case Report: Diabetic Ketoacidosis in Patient with type 1 Diabetes Mellitus with Complication Septic Shock and AKI Stage III on HD Triggered by Perianal Abscess

Introduction. Diabetic ketoacidosis (DKA) is an acute, life-threatening complication in diabetes mellitus. Infection is a common precipitating cause of diabetic ketoacidosis (DKA) in known diabetic patient, and diabetic ketoacidosis (DKA) often presents as the first symptom of an undiagnosed diabetes. diabetic ketoacidosis (DKA) is diagnosed with combination of hyperglicaemia, acidosis metabolic and ketonuria. Case Presentation. A 27 years old male patient, admitted to Intensive Care Unit with decrease level of consciousness (GCS 3), he was intubated and present with respiratory distress, metabolic acidosis, high glucose level, ketonuria with renal failure as a target organ. Patient known has perianal abscess as a triggered of diabetic ketoacidosis (DKA), turn into septic shock and underwent debridement surgery to source control the infection. The patient was treated in intensive care unit for 9 days, and sent to ward with GCS 15 an no sequelae of organ failure. The treatment of diabetic ketoacidosis (DKA) should include correcting the often substantial hypovolemia, the hyperglycemia, electrolyte imbalance and the triggering factor of diabetic ketoacidosis (DKA). Conclusion. Prompt surgical intervention, antibacterial therapy, rapid restoration of glycemic control are crucial to prevent mortality in diabetes mellitus patients complicated with abscess.

Experimental animal models for diabetes and its related complications—a review

Diabetes mellitus, a very common and multifaceted metabolic disorder is considered as one of the fastest growing public health problems in the world. It is characterized by hyperglycemia, a condition with high glucose level in the blood plasma resulting from defects in insulin secretion or its action and in some cases both the impairment in secretion and also action of insulin coexist. Historically, animal models have played a critical role in exploring and describing malady pathophysiology and recognizable proof of targets and surveying new remedial specialists and in vivo medicines. In the present study, we reviewed the experimental models employed for diabetes and for its related complications. This paper reviews briefly the broad chemical induction of alloxan and streptozotocin and its mechanisms associated with type 1 and type 2 diabetes. Also we highlighted the different models in other species and other animals.

Diabetes Impaired Ischemia-Induced PDGF (Platelet-Derived Growth Factor) Signaling Actions and Vessel Formation Through the Activation of Scr Homology 2-Containing Phosphatase-1

Objective: Critical limb ischemia is a major complication of diabetes characterized by insufficient collateral vessel development and proper growth factor signaling unresponsiveness. Although mainly deactivated by hypoxia, phosphatases are important players in the deregulation of proangiogenetic pathways. Previously, SHP-1 (Scr homology 2-containing phosphatase-1) was found to be associated with the downregulation of growth factor actions in the diabetic muscle. Thus, we aimed to gain further understanding of the impact of SHP-1 on smooth muscle cell (SMC) function under hypoxic and diabetic conditions. Approach and Results: Despite being inactivated under hypoxic conditions, high glucose level exposure sustained SHP-1 phosphatase activity in SMC and increased its interaction with PDGFR (platelet-derived growth factor receptor)-β, thus reducing PDGF proangiogenic actions. Overexpression of an inactive form of SHP-1 fully restored PDGF-induced proliferation, migration, and signaling pathways in SMC exposed to high glucose and hypoxia. Nondiabetic and diabetic mice with deletion of SHP-1 specifically in SMC were generated. Ligation of the femoral artery was performed, and blood flow was measured for 4 weeks. Blood flow reperfusion, vascular density and maturation, and limb survival were all improved while vascular apoptosis was attenuated in diabetic SMC-specific SHP-1 null mice as compared to diabetic mice. Conclusions: Diabetes and high glucose level exposure maintained SHP-1 activity preventing hypoxia-induced PDGF actions in SMC. Specific deletion of SHP-1 in SMC partially restored blood flow reperfusion in the diabetic ischemic limb. Therefore, local modulation of SHP-1 activity in SMC could represent a potential therapeutic avenue to improve the proangiogenic properties of SMC under ischemia and diabetes.

Treatment of patients with advanced diabetes type 2 and hypertension without the use of conventional treatment is possible: white matter alterations and treatment of diabetes and hypertnsion as a new medical hypothesis

Diabetes has been described for 3500 years. Therapeutic options vary but they involve giving insulin or lowering glucose such as metformin. The objective of this study was to report how diabetes type 2 and hypertension can be treated successfully without using the diabetes conventional treatments. A 50 years male with high glucose level (330 mg/dl), HBA1c (9.6%). Blood profile was altered. Hypertension was elevated (145/100) mm hg. The patient expressed his tension and desire not to commit conventional diabetic and hypertension treatment and asked for other therapeutic alternatives. Based on our experience, we recommended him to use two spoon of ground Urtica pilulifera (U. p)/ day, and to use two capsules of Ammi visnaga (A.V) following each meal. Further, the patient followed the dietary restrictions by replacing white bread with a spoon and followed some exercise programs by walking for 30 minutes a day. The results of this program were shown as continuous lowering blood glucose to the level of 117 mg/dl, and blood pressure was 123/79 after 5 days. Taken together, both diabetes type 2 and hypertension can be successfully treated naturally

Anti-diabetic Potentials of Thiazolidinedione Analogues with Efficient Synthetic Procedures: A Review of Literature

: Diabetes mellitus refers to one of the leading cause of diseases that affect large populations of human and is characterized by a high glucose level in the blood (also known as hyperglycemia). Thiazolidinedione (TZD) is a five-member heterocyclic compound consisting of three carbons, nitrogen and sulfur. It is also known as glitazones, can be used as potent hypoglycemic agents and is also reduce many other cardiovascular risk factors including percutaneous coronary intervention, carotid and coronary atherosclerosis. As it plays a very important role in the field of medicinal chemistry or pharmaceutical sciences, novel medicine developed and many are on underdevelopment, these derivatives have thiazolidinedione as their primary nucleus. This article has discussed the different synthetic procedures of thiazolidinediones that exhibited potential antidiabetic activity by the activation of PPAR-γ, by reducing the blood glucose levels and by different metabolic process incorporation. Thiazolidinediones has an effective profile as the future investigational drug and can be processed in drug discovery because of its efficient anti-diabetic potential.

Differential responses of bone to angiotensin II and angiotensin(1-7): beneficial effects of ANG(1-7) on bone with exposure to high glucose

Osteoporosis, diabetes, and hypertension are common concurrent chronic disorders. This study aimed to explore the respective effects of angiotensin II (ANG II) and angiotensin(1-7) [ANG(1-7)], active peptides in the renin-angiotensin system, on osteoblasts and osteoclasts under high-glucose level, as well as to investigate the osteo-preservative effects of ANG II type 1 receptor (AT1R) blocker and ANG(1-7) in diabetic spontaneously hypertensive rats (SHR). ANG II and ANG(1-7), respectively, decreased and increased the formation of calcified nodules and alkaline phosphatase activity in MC3T3-E1 cells under high-glucose level, and respectively stimulated and inhibited the number of matured osteoclasts and pit resorptive area in RANKL-induced bone marrow macrophages. Olmesartan and Mas receptor antagonist A779 could abolish those effects. ANG II and ANG(1-7), respectively, downregulated and upregulated the expressions of osteogenesis factors in MC3T3-E1 cells. ANG II promoted the expressions of cathepsin K and MMP9 in RAW 264.7 cells, whereas ANG(1-7) repressed these osteoclastogenesis factors. ANG II rapidly increased the phosphorylation of Akt and p38 in RAW 264.7 cells, whereas ANG(1-7) markedly reduced the phosphorylation of p38 and ERK under high-glucose condition. After treatments of diabetic SHR with valsartan and ANG(1-7), a significant increase in trabecular bone area, bone mineral density, and mechanical strength was only found in the ANG(1-7)-treated group. Treatment with ANG(1-7) significantly suppressed the increase in renin expression and ANG II content in the bone of SHR. Taken together, ANG II/AT1R and ANG(1-7)/Mas distinctly regulated the differentiation and functions of osteoblasts and osteoclasts upon exposure to high-glucose condition. ANG(1-7) could protect SHR from diabetes-induced osteoporosis.

An Evaluation Based on Diabetic Retinopathy

Diabetic retinopathy is a globally rising disease and needs to be taken in concern. It is the problem with vision of diabetic patients due to a disease in the retina of diabetic patients.Diabetic patients have high glucose level in the blood.Our major concern is to predict the disease at early stages.The studies focusses on the modern techniques used in image processing digitally.It also puts a stress on patches classification used for the examination and prediction of diabetic retinopathy and judge the accuracy,senstivity of dataset.

Detection of Diabetic Retinopathy With Mobile Application Using Deep Learning

High glucose level disrupts the structure of the retinal layer in the eyes and causes diabetic retinopathy which is characterized with new pathologic blood vessels in the eyes. Although diabetic retinopathy is not clear at the beginning of the disease, it is the most common problem in people who have diabetes and causes blindness or cloudy vision if it is not diagnosed at the beginning of the disease. For early diagnosis of diabetic retinopathy, regular fundus controls and examination of the edema in the vessels of the retina are made periodically by ophthalmologists. With in the scope of this study, it is made possible to provide the early diagnosis and the level of diabetic retinopathy by using deep learning, image processing methods, and convolutional neural networks of the retina. In order to provide ease and rapid of diagnosis of the diabetic retinopathy in daily life, the diagnosis protocol has been turned into a mobile application. With the mobile application, both the diagnosis and more regular results of the diabetic retinopathy can be obtained easily and practically.