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Every one of your cells contains carnosine, a multifunctional dipeptide protein made up of a chemical combination of the amino acids beta-alanine and l-histidine Long-lived cells such as nerve cells (neurons) and muscle cells (myocytes) contain high levels of carnosine Laboratory research on cellular senescence (the end of the life cycle of dividing cells) demonstrates that carnosine has the remarkable ability to rejuvenate cells approaching senescence, restoring normal appearance and extending cellular lifespan The body is made up largely of proteins Unfortunately, proteins tend to undergo destructive changes as we age, due largely to oxidation and interactions with sugars and aldehydes These interrelated protein modifications include oxidation, glycation, cross-linking, carbonylation, and advanced glycation end product (AGE) formation.

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They figure prominently not only in the process of aging but also by accumulation in proteins, causing the familiar signs such as skin aging, wrinkling, sagging skin and loss of elasticity, brown spots on skin, cataracts and neurodegeneration Studies show that carnosine is effective against all these forms of protein modification In fact, carnosine is the only antioxidant to significantly protect chromosomes from oxidative damage due to 90 percent oxygen exposure In a remarkable series of experiments, the Australian researchers Dr G McFarland and Dr R Holliday have shown that carnosine rejuvenates cells as they approach senescence These scientists cultured human fibroblasts (connective tissue cells) from the lung and the foreskin Fibroblasts that went through many rounds of division, known as late-passage cells, displayed a disorganized, irregular appearance before ceasing to divide Fibroblasts cultured with carnosine lived longer and retained youthful appearance and growth patterns.

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What is most exciting is the ability of carnosine to reverse the signs of aging in cells approaching senescence When scientists transferred late-passage fibroblasts to a culture medium containing carnosine, the fibroblasts exhibited a rejuvenated appearance and often an enhanced capacity to divide, thus preventing programmed cell death (by keeping the mega-channel closed) and necrotic cell death (by protecting the cell s DNA and chromosomes) The carnosine medium also increased lifespan, even for old cells The number of population doublings (PDs) provides a convenient measure of cell division When late-passage lung fibroblasts at 55 PDs were transferred to the carnosine medium, they lived to 69 to 70 PDs, compared to 57 to 61 PDs for the fibroblasts that were not transferred Moreover, the fibroblasts transferred to the carnosine medium attained an average lifespan of 413 days, compared to 126 to 139 days for the control fibroblasts..

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Dick Nolan s stages theory examines the technology change/technology adoption phenomenon from the point of view of how the organization learns to deploy and use a technology. It is one of the rst, and in my opinion one of the best, frameworks executives can use to understand technology change. Nolan argues that any technology, as it enters any enterprise, progresses through a series of stages representing organizational learning (an S-curve).The simplest rendition of the stages model features: Stage One: Initiation. Technologies are introduced into the enterprise via limited investment and contained experimentation designed to prove the value of the technology in the organization. Stage Two: Contagion. During this stage, technology learning and adaptation take place; the technology proliferates in a relatively opportunistic and uncontrolled manner. Stage Three: Control. The uncontrolled growth of Stage Two leads eventually to inef ciency, which creates a demand for management controls to cost-effectively guide growth to a more manageable rate. Stage Four: Maturity. This stage is marked by a balance of managed controls and growth. Nolan s model gives a CIO/IT-centric view of what is going on, focusing on how the IT organization learns to manage a new technology. In most organizations, IT is way behind where it needs to be to maximize value from investments in business analytics.

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