Brain energy rescue:an emerging therapeutic concept for neurodegenerative disorders of ageing

The brain requires a continuous supply of energy in the form of ATP, most of which is produced from glucose by oxidative phosphorylation in mitochondria, complemented by aerobic glycolysis in the cytoplasm. When glucose levels are limited, ketone bodies generated in the liver and lactate derived from exercising skeletal muscle can also become important energy substrates for the brain. In neurodegenerative disorders of ageing, brain glucose metabolism deteriorates in a progressive, region-specific and disease-specific manner — a problem that is best characterized in Alzheimer disease, where it begins presymptomatically. This Review discusses the status and prospects of therapeutic strategies for countering neurodegenerative disorders of ageing by improving, preserving or rescuing brain energetics. The approaches described include restoring oxidative phosphorylation and glycolysis, increasing insulin sensitivity, correcting mitochondrial dysfunction, ketone-based interventions, acting via hormones that modulate cerebral energetics, RNA therapeutics and complementary multimodal lifestyle changes

Modeling of Protein Tertiary and Quaternary Structures Based on Evolutionary Information

Proteins are subject to evolutionary forces that shape their three-dimensional structure to meet specific functional demands. The knowledge of the structure of a protein is therefore instrumental to gain information about the molecular basis of its function. However, experimental structure determination is inherently time consuming and expensive, making it impossible to follow the explosion of sequence data deriving from genome-scale projects. As a consequence, computational structural modeling techniques have received much attention and established themselves as a valuable complement to experimental structural biology efforts. Among these, comparative modeling remains the method of choice to model the three-dimensional structure of a protein when homology to a protein of known structure can be detected.The general strategy consists of using experimentally determined structures of proteins as templates for the generation of three-dimensional models of related family members (targets) of which the structure is unknown. This chapter provides a description of the individual steps needed to obtain a comparative model using SWISS-MODEL, one of the most widely used automated servers for protein structure homology modeling

AMD Annals: a model of continuous monitoring and improvement of the quality of diabetes care

OBJECTIVE: in recent years, several initiatives have been launched by the Associazione medici diabetologi (AMD) in the context of a national quality improvement program.These activities include: identification of specific indicators of quality of diabetes care, development of a software to calculate such indicators by using routine clinical data, creation of a network of diabetes clinics and analysis and publication of the results in ad hoc reports (AMD Annals). Through the best performer approach, each centre could compare its own performance not only with the theoretical targets suggested by existing guidelines, but also with the results achieved by the best centres operating within the same healthcare system.We evaluated whether the involvement of diabetes clinics into the AMD Annals initiative improved the quality of care over 4 years. DESIGN: a controlled before and after study was performed to compare data collected from 2004 to 2007 by two groups of centres: group A included centres that had been involved in the project since the first edition of AMD Annals; group B included centres only involved in the last edition. SETTING AND PARTICIPANTS: overall, 124 diabetes clinics provided data on over 100,000 type 2 diabetes patients/year seen from 2004 to 2007. MAIN OUTCOME MEASURES: process indicators included the proportion of patients with at least one measurement of HbA1c, blood pressure and lipid profile during the previous 12 months. Intermediate outcomes included percentages of patients with levels of HbA1c ≤ 7%, blood pressure ≤ 130/85 mmHg and LDL-cholesterol <100 mg/dl (favourable indicators), and the percentages of patients with levels of HbA1c ≥ 9%, blood pressure ≥ 140/90 mmHg and LDL-cholesterol ≥ 130 mg/dl (unfavourable indicators). Percentages of patients treated with insulin, two or more antihypertensive agents, and statins were also evaluated. A multilevel analysis adjusted for age, gender, diabetes duration, and clustering effect was applied to investigate the changes in the indicators between the two groups of centres during 4 years. RESULTS: lipid profile monitoring increased more in group A (+6.2% from 2004 to 2007) than in group B (+2.4%), while HbA1c and blood pressure monitoring did not change over time in both groups. As for the outcomes considered, the percentage of patients with HbA1c ≤ 7% increased by 6% in group A and by 1.3%in group B, while the proportion of patients achieving the blood pressure target increased in group A (+6.4%), but not in group B (-1.4%). A reduction in the percentage of patients with blood pressure ≥ 140/90 mmHg was found in group A (-7.3%) but not in group B (-0.9%). Marked improvements in the proportion of patients with LDL-cholesterol at target were documented in both groups (group A: +10.5%; group B: +12.2%.) The proportion of patients treated with insulin increased in group A only (+5.8%), while the use of statins grew by 20%in both groups.The proportion of individuals treated with two or more antihypertensive drugs increased by 3.6% in group A and by 1.6% in group B. CONCLUSION: the AMD Annals approach can be considered as a case model for quality improvement activities in chronic diseases and a tool to evaluate the level of adoption/acceptance of guidelines in clinical practice. The considerable success documented was obtained without allocation of extra resources or financial incentives but simply through a physician-led effort made possible by the commitment of the specialists involved

[AMD Annals: a model of continuous monitoring and improvement of the quality of diabetes care].

OBJECTIVE: in recent years, several initiatives have been launched by the Associazione medici diabetologi (AMD) in the context of a national quality improvement program.These activities include: identification of specific indicators of quality of diabetes care, development of a software to calculate such indicators by using routine clinical data, creation of a network of diabetes clinics and analysis and publication of the results in ad hoc reports (AMD Annals). Through the best performer approach, each centre could compare its own performance not only with the theoretical targets suggested by existing guidelines, but also with the results achieved by the best centres operating within the same healthcare system.We evaluated whether the involvement of diabetes clinics into the AMD Annals initiative improved the quality of care over 4 years. DESIGN: a controlled before and after study was performed to compare data collected from 2004 to 2007 by two groups of centres: group A included centres that had been involved in the project since the first edition of AMD Annals; group B included centres only involved in the last edition. SETTING AND PARTICIPANTS: overall, 124 diabetes clinics provided data on over 100,000 type 2 diabetes patients/year seen from 2004 to 2007. MAIN OUTCOME MEASURES: process indicators included the proportion of patients with at least one measurement of HbA1c, blood pressure and lipid profile during the previous 12 months. Intermediate outcomes included percentages of patients with levels of HbA1c ≤ 7%, blood pressure ≤ 130/85 mmHg and LDL-cholesterol <100 mg/dl (favourable indicators), and the percentages of patients with levels of HbA1c ≥ 9%, blood pressure ≥ 140/90 mmHg and LDL-cholesterol ≥ 130 mg/dl (unfavourable indicators). Percentages of patients treated with insulin, two or more antihypertensive agents, and statins were also evaluated. A multilevel analysis adjusted for age, gender, diabetes duration, and clustering effect was applied to investigate the changes in the indicators between the two groups of centres during 4 years. RESULTS: lipid profile monitoring increased more in group A (+6.2% from 2004 to 2007) than in group B (+2.4%), while HbA1c and blood pressure monitoring did not change over time in both groups. As for the outcomes considered, the percentage of patients with HbA1c ≤ 7% increased by 6% in group A and by 1.3%in group B, while the proportion of patients achieving the blood pressure target increased in group A (+6.4%), but not in group B (-1.4%). A reduction in the percentage of patients with blood pressure ≥ 140/90 mmHg was found in group A (-7.3%) but not in group B (-0.9%). Marked improvements in the proportion of patients with LDL-cholesterol at target were documented in both groups (group A: +10.5%; group B: +12.2%.) The proportion of patients treated with insulin increased in group A only (+5.8%), while the use of statins grew by 20%in both groups.The proportion of individuals treated with two or more antihypertensive drugs increased by 3.6% in group A and by 1.6% in group B. CONCLUSION: the AMD Annals approach can be considered as a case model for quality improvement activities in chronic diseases and a tool to evaluate the level of adoption/acceptance of guidelines in clinical practice. The considerable success documented was obtained without allocation of extra resources or financial incentives but simply through a physician-led effort made possible by the commitment of the specialists involved