Early Detection of Type 2 Diabetes Mellitus Using Deep Neural Network–Based Model

Sapra, Varun; Sapra, Luxmi

doi:10.1002/9781119769293.ch15

Cited by 37 publications

(52 citation statements)

References 16 publications

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“…! " × 100 [1] Where AACi is the percent composition of an amino acid i ; Ri is the number of residues of type i, and L is the total number of residues in the peptide [27].…”

Section: Composition Analysismentioning

confidence: 99%

“…Diabetes mellitus (DM) is a chronic, metabolic disorder majorly occurring due to the abnormality in the blood sugar or glucose level, which further leads to serious damages in heart, eyes, nerves, kidney and blood vessels [1,2]. According to the WHO (world health organization) around 422 million people in the world are effected with DM and approximately 1.5 million deaths have been reported every year.…”

Section: Introductionmentioning

confidence: 99%

“…According to the WHO (world health organization) around 422 million people in the world are effected with DM and approximately 1.5 million deaths have been reported every year. DM is majorly categorized into two types i.e., T1DM (Type 1 diabetes mellitus) or insulin dependent diabetes and T2DM (Type 2 diabetes mellitus) or adult onset diabetes [1,3]. T2DM affects middle-aged and older persons who suffer from persistent hyperglycaemia and affects around 6.28% of the world's population and also known as a lifestyle disorder [4].…”

Section: Introductionmentioning

confidence: 99%

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Identification of Antigenic Regions Responsible for inducing Type 1 diabetes mellitus

Kumar

Patiyal

Choudhury

et al. 2022

Preprint

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There are a number of antigens that induce autoimmune response against beta-cells, leading to Type 1 diabetes mellitus (T1DM). Recently several antigen-specific immunotherapies have been developed to treat T1DM. Thus identification of T1DM associated peptides with antigenic regions or epitopes is important for peptide based-therapeutics (e.g., immunotherapeutic). In this study, for the first time an attempt has been made to develop a method for predicting, designing and scanning of T1DM associated peptides with high precision. We analyzed 815 T1DM associated peptides and observed that these peptides are not associated with a specific class of HLA alleles. Thus, HLA binder prediction methods are not suitable for predicting T1DM associated peptides. Firstly, we developed a similarity/alignment based method using BLAST and achieved a high probability of correct hits with poor coverage. Secondly, we developed an alignment free method using machine learning techniques and got maximum AUROC 0.89 using dipeptide composition. Finally, we developed a hybrid method that combines the strength of both alignment free and alignment based methods and achieve maximum AUROC 0.95 with MCC 0.81 on independent dataset. We developed a webserver DMPPred and standalone server, for predicting, designing and scanning of T1DM associated peptides (https://webs.iiitd.edu.in/raghava/dmppred/).

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“…! " × 100 [1] Where AACi is the percent composition of an amino acid i ; Ri is the number of residues of type i, and L is the total number of residues in the peptide [27].…”

Section: Composition Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of Antigenic Regions Responsible for inducing Type 1 diabetes mellitus

Kumar

Patiyal

Choudhury

et al. 2022

Preprint

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“…During this period, the world’s population is estimated to have grown by 20 percent, while the number of people living with diabetes is estimated to have increased by 46 percent. DM is divided into two types, namely, type 1 diabetes mellitus (T1DM), which involves the destruction of beta cells in the islets, leading to an absolute lack of insulin secretion, and type 2 diabetes mellitus (T2DM), which involves an insufficient insulin secretion or combined insulin resistance ( 3 ) ( 4 ). In addition to nephropathy and microvascular disease, cardiovascular disease frequently occurs in patients with T1DM and T2DM, and is the main cause of morbidity and death, accounting for more than 80% of deaths among those with DM, and otherwise significantly reducing their quality of life ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

Diabetes Mellitus Promotes the Development of Atherosclerosis: The Role of NLRP3

Wang

et al. 2022

Front. Immunol.

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Atherosclerosis is one of the main complications of diabetes mellitus, involving a variety of pathogenic factors. Endothelial dysfunction, inflammation, and oxidative stress are hallmarks of diabetes mellitus and atherosclerosis. Although the ability of diabetes to promote atherosclerosis has been demonstrated, a deeper understanding of the underlying biological mechanisms is critical to identifying new targets. NLRP3 plays an important role in both diabetes and atherosclerosis. While the diversity of its activation modes is one of the underlying causes of complex effects in the progression of diabetes and atherosclerosis, it also provides many new insights for targeted interventions in metabolic diseases.

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“…The initial phase of all these studies is based on ethnobotanical research. Traditional knowledge regarding diabetes dates back to the Ancient Egyptians and Greeks [ 7 , 8 ], which is related to a long empirical tradition of using plants to treat the condition in the Old World. Ethnobotany provides a large number of plants from Europe, Turkey, and Iran, and these studies are important sources of guidance in the search for new medicines to address globally relevant diseases such as metabolic syndrome and diabetes [ 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Safety and Effects of Amorpha fruticosa Fruit Extract on Spontaneously Hypertensive Rats with Induced Type 2 Diabetes

Simeonova

Shkondrov

Kozuharova

et al. 2022

CIMB

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Metabolic syndrome is characterized by a variety of diagnostic criteria: obesity, dyslipidemia, type 2 diabetes, and arterial hypertension. They contribute to the elevated risk of cardiovascular morbidity and mortality. The potential for Amorpha fruticosa L. (Fabaceae) to improve diabetes and metabolic disease is promising, based on in vitro tests. This is why a further investigation of the species is needed. Additionally, a toxicity review in relation to safety revealed that to date, there are no published data regarding the toxicity of A. fruticosa towards humans. This species could provide abundant and cheap resources because it is an aggressive invasive plant that grows almost unrestrictedly. The objective of this study was to evaluate the acute toxicity of a purified extract of A. fruticosa (EAF), and to assess its antioxidant, antihypertensive, and antihyperglycemic activity in streptozotocin-induced diabetic spontaneously hypertensive rats (SHRs). The EAF was slightly toxic (LD50 = 2121 mg/kg, b.w.) when administered orally, and moderately toxic (LD50 = 316 mg/kg, b.w.) at intraperitoneal administration, both in mice. The oral administration of EAF (100 mg/kg) for 35 days to SHRs caused significant decreases in the systolic pressure, blood glucose levels, and MDA quantity. It also increased the hepatic level of the endogenous antioxidant GSH, not only in diabetic SHRs, but also in the control group. An additional potential benefit to human health might be conferred through the environmental management of A. fruticosa based on its large-scale use for medicinal purposes, as this aggressive invasive species brings problems to natural habitats in many European countries.

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Early Detection of Type 2 Diabetes Mellitus Using Deep Neural Network–Based Model

Cited by 37 publications

References 16 publications

Identification of Antigenic Regions Responsible for inducing Type 1 diabetes mellitus

Identification of Antigenic Regions Responsible for inducing Type 1 diabetes mellitus

Diabetes Mellitus Promotes the Development of Atherosclerosis: The Role of NLRP3

A Study on the Safety and Effects of Amorpha fruticosa Fruit Extract on Spontaneously Hypertensive Rats with Induced Type 2 Diabetes

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