الصفحة 1
الصفحة 1
Laboratory Guide to the Methods in Biochemical Genetics
This manual deals specifically with laboratory approaches to diagnosing inborn errors of metabolism. The key feature is that each chapter is sufficiently detailed so that any individual can adopt the described method into their own respective laboratory.
Comprehensive biochemistry for dentistry : Textbook for dental students
Combines fundamental concepts of biochemistry and the dental sciences to provide an authentic, coherent and comprehensive text for dental students. It describes in simple language the intricate pathophysiology of biomolecules in health and in diseases of dental and oral tissues. This book also describes the evolution of biochemistry in a chronological order, provides information about the fundamental chemical structure, classification and biological significance of biomolecules, vitamins and hormones, enriched with flow charts and diagrams for easy understanding and quick reference. It includes chapters on nucleic acids, nutrition and serum enzymes and organ function tests, and offers an innovative approach to familiarize dental students with the biochemical composition of enamel, dentine, cementum and saliva, explaining the biochemical basis of dental caries, periodontal diseases, role of fluorides in caries prophylaxis, fluoride toxicity, and the role of amino acids as anti-hypersensitive agents
Clinical metabolomics applications in genetic diseases
Helps readers discover the forefront of personalized medicine on clinical metabolomics and its applications in genetic diseases. This comprehensive guide offers a functional relationship map between cell components and genetic variations in various diseases, providing insights that can be applied to personalized medicine. Covers the latest developments in metabolomics for health, with practical guidance for clinical experts looking to advance their laboratory techniques and career. The metabolomics profile is a powerful tool that has revolutionized our understanding of the relationship between genetics, clinical readouts, and disease outcomes. By integrating metabolomics with genomics and clinical phenotypes, the authors have developed diagnostic and prediction models that have vastly improved patient outcomes and deepened the understanding of disease mechanisms.
