Analysis of Complex Diseases: A Mathematical Perspective - download pdf or read online

By Guanyu Wang PhD

ISBN-10: 1466572213

ISBN-13: 9781466572218

ISBN-10: 146657223X

ISBN-13: 9781466572232

A advanced disorder comprises many etiological and probability components working at a number of levels―molecular, mobile, organismal, and environmental. The occurrence of such ailments as melanoma, weight problems, and diabetes are expanding in incidence, urging us to imagine essentially and use a broader point of view to spot their connection and revolutionize remedies. the knowledge of organic info derived from learning ailments may be better by means of theories and mathematical versions, which make clear the massive photograph and support to bare the overarching mechanisms that govern advanced organic phenomena.

Focusing on illnesses concerning mobile strength metabolism, comparable to melanoma and diabetes, Analysis of advanced ailments: A Mathematical Perspective provides a holistic process for illuminating the molecular mechanisms of those illnesses and the evolutionary underpinning in their simultaneous epidemics. utilizing arithmetic to spot styles of deviation from normality, or the fit state―spanning a number of degrees from molecules to the organism―the writer identifies a number of dynamical behaviors that correspond to both mobile body structure or pathology. He makes use of the data from a number of degrees that allows you to boost a unified conception, together with the invention that yes illnesses may possibly stem from well-evolved, helpful mechanisms activated within the incorrect context.

This ebook is split into 3 components. half I specializes in the organismal point to explain general body structure and the way the physique as an entire meets its useful necessities. half II addresses the subcellular, molecular point to explain the organizing ideas of mobile biomolecules to fulfill the calls for of the organism. half III examines advanced illnesses via combining info from the organismal point and the molecular point, delivering a paradigm that may be prolonged to the learn of different different types of ailments.

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Extra info for Analysis of Complex Diseases: A Mathematical Perspective

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Although GLUT3 was found to be expressed in various tissues, it is most specifically expressed in neurons, found predominantly in axons and dendrites and also, but less prominently, in the cell body. During prolonged starvation, ketone bodies generated by the liver partly replace glucose as fuel for the brain. 2 SKELETAL MUSCLE Skeletal muscle exists throughout the human body and is one of three major muscle types, the others being cardiac and smooth muscle. Skeletal and cardiac muscles are collectively known as striated muscle, because they have striations, or stripes, that extend across the width of the muscle cell.

The degradation of amino acids then produces α-ketoacids, which are used for gluconeogenesis, fatty acid synthesis, and the liver’s own fuel. By using α-ketoacids, the liver spares the fuels it exports to other tissue cells. Indeed, the main role of glycolysis in the liver is to form building blocks for biosyntheses. The liver cannot use acetoacetate as a fuel, because it has little of the transferase needed for acetoacetate’s activation to acetyl CoA. 6 KIDNEY Located at the rear of the abdominal cavity in the retroperitoneum, the kidneys receive blood from the paired renal arteries, which drain into the paired renal veins.

Children with GLUT1 deficiency experience infantile seizures and developmental delay, caused by impaired glucose transportation across the blood–brain barrier. Expression levels of GLUT1 in cell membranes are increased by reduced glucose levels and decreased by increased glucose levels. 5 mM, far smaller than the plasma glucose concentration. Indeed, even during fasting, the plasma glucose concentration 4–6 mM is still threefold higher than K m . Therefore, GLUT1 should be efficient in transporting glucose even when the plasma glucose concentration is minimal (at the fasting level).

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Analysis of Complex Diseases: A Mathematical Perspective by Guanyu Wang PhD


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