2,442 research outputs found

    Ethnic differences in adiposity and diabetes risk – insights from genetic studies

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    Type 2 diabetes is more common in non-Europeans and starts at a younger age and at lower BMI cut-offs. This review discusses the insights from genetic studies about pathophysiological mechanisms which determine risk of disease with a focus on the role of adiposity and body fat distribution in ethnic disparity in risk of type 2 diabetes. During the past decade, genome-wide association studies (GWAS) have identified more than 400 genetic variants associated with the risk of type 2 diabetes. The Eurocentric nature of these genetic studies have made them less effective in identifying mechanisms that make non-Europeans more susceptible to higher risk of disease. One possible mechanism suggested by epidemiological studies is the role of ethnic difference in body fat distribution. Using genetic variants associated with an ability to store extra fat in a safe place, which is subcutaneous adipose tissue, we discuss how different ethnic groups could be genetically less susceptible to type 2 diabetes by developing a more favourable fat distribution

    Body Fat: our own Janus

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    Berberine for prevention of dementia associated with diabetes and its comorbidities: A systematic review

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    Background A growing number of epidemiological studies indicate that metabolic syndrome (MetS) and its associated features play a key role in the development of certain degenerative brain disorders, including Alzheimer’s disease and vascular dementia. Produced by several different medicinal plants, berberine is a bioactive alkaloid with a wide range of pharmacological effects, including antidiabetic effects. However, it is not clear whether berberine could prevent the development of dementia in association with diabetes. Objective To give an overview of the therapeutic potential of berberine as a treatment for dementia associated with diabetes. Search strategy Database searches A and B were conducted using PubMed and ScienceDirect. In search A, studies on berberine’s antidementia activities were identified using “berberine” and “dementia” as search terms. In search B, recent studies on berberine’s effects on diabetes were surveyed using “berberine” and “diabetes” as search terms. Inclusion criteria Clinical and preclinical studies that investigated berberine’s effects associated with MetS and cognitive dysfunction were included. Data extraction and analysis Data from studies were extracted by one author, and checked by a second; quality assessments were performed independently by two authors. Results In search A, 61 articles were identified, and 22 original research articles were selected. In search B, 458 articles were identified, of which 101 were deemed relevant and selected. Three duplicates were removed, and a total of 120 articles were reviewed for this study. The results demonstrate that berberine exerts beneficial effects directly in the brain: enhancing cholinergic neurotransmission, improving cerebral blood flow, protecting neurons from inflammation, limiting hyperphosphorylation of tau and facilitating β-amyloid peptide clearance. In addition, evidence is growing that berberine is effective against diabetes and associated disorders, such as atherosclerosis, cardiomyopathy, hypertension, hepatic steatosis, diabetic nephropathy, gut dysbiosis, retinopathy and neuropathy, suggesting indirect benefits for the prevention of dementia. Conclusion Berberine could impede the development of dementia via multiple mechanisms: preventing brain damages and enhancing cognition directly in the brain, and indirectly through alleviating risk factors such as metabolic dysfunction, and cardiovascular, kidney and liver diseases. This study provided evidence to support the value of berberine in the prevention of dementia associated with MetS

    The Hormesis of Thinking: A Deeper Quantum Thermodynamic Perspective?

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    We are able to read this because of quantum and thermodynamic principles that via an inorganic proton gradient, possibly generated 4.2 billion years ago, gave rise to a system that has an awareness of time and space by using energy to integrate information. Life can be described as a dissipative system driven by an energy gradient that uses information to positively reinforce its self-sustaining structure, which in turn increases its non-linear decisional capacity. Key in the evolution of life has been stress coupled to natural selection, which usually meant an increased demand for energy. As hormesis describes the adaptive response to stress, we propose that hormesis embraces not only the evolution of life, but that of intelligence itself, as natural selection would favour systems that enhances its efficiency. A component of the hormetic response in eukaryotes is the mitochondrion, which itself relies on quantum effects such as tunnelling. This suggests that quantum effects control the stability of individual cells as well as long-lived cellular networks. Hormesis, which can be anti-inflammatory, is therefore key in maintaining the functional stability of complex systems, including the brain. In contrast, a lack of classical hormetic factors, such as physical activity, plant polyphenols, or calorie restriction, will lead to accelerated cognitive decline, which is associated with increased inflammation. However, there may be another previously unidentified factor that could also be considered hormetic, and that is thinking itself. Here we propose that the process of “thinking”, and managing complex movement, induces “stress” in the neuronal system and is therefore in itself part of maintaining cognitive health and reserve throughout life. In effect, the right amount of thinking and information processing can beneficially induce adaptation, and this itself could be explainable by quantum thermodynamics

    More on the Narrowing of Impact Broadened Radio Recombination Lines at High Principal Quantum Number

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    Recently Alexander and Gulyaev have suggested that the apparent decrease in impact broadening of radio recombination lines seen at high principal quantum number n may be a product of the data reduction process, possibly resulting from the presence of noise on the telescope spectra that is not present on the calculated comparison spectra. This is an interesting proposal. However, there are serious problems with their analysis that need to be pointed out. Perhaps the most important of these is the fact that for principal quantum numbers below n = 200, where the widths are not in question, their processed generated profile widths do not fit the widths of the processed lines obtained at the telescope. After processing, the halfwidths of the generated and telescope profiles must agree below n = 200 if we are to believe that the processed generated linewidths above n = 200 are meaningful. Theirs do not. Furthermore, we find that after applying the linewidth reduction factors found by Alexander and Gulyaev for their noise added profiles to our generated profiles to simulate their noise adding effect, the processed widths we obtain still do not come close to explaining the narrowing seen in the telescope lines for n values in the range 200 < n < 250. It is concluded that what is needed to solve this mystery is a completely new approach using a different observing technique instead of simply a further manipulation of the frequency-switched data.Comment: Six pages with 4 figures. Accepted for publication in Astrophysics and Space Scienc

    Thermodynamics and Inflammation: Insights into Quantum Biology and Ageing

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    Inflammation as a biological concept has been around a long time and derives from the Latin “to set on fire” and refers to the redness and heat, and usually swelling, which accompanies injury and infection. Chronic inflammation is also associated with ageing and is described by the term “inflammaging”. Likewise, the biological concept of hormesis, in the guise of what “does not kill you, makes you stronger”, has long been recognized, but in contrast, seems to have anti-inflammatory and age-slowing characteristics. As both phenomena act to restore homeostasis, they may share some common underlying principles. Thermodynamics describes the relationship between heat and energy, but is also intimately related to quantum mechanics. Life can be viewed as a series of self-renewing dissipative structures existing far from equilibrium as vortexes of “negentropy” that ages and dies; but, through reproduction and speciation, new robust structures are created, enabling life to adapt and continue in response to ever changing environments. In short, life can be viewed as a natural consequence of thermodynamics to dissipate energy to restore equilibrium; each component of this system is replaceable. However, at the molecular level, there is perhaps a deeper question: is life dependent on, or has it enhanced, quantum effects in space and time beyond those normally expected at the atomistic scale and temperatures that life operates at? There is some evidence it has. Certainly, the dissipative adaptive mechanism described by thermodynamics is now being extended into the quantum realm. Fascinating though this topic is, does exploring the relationship between quantum mechanics, thermodynamics, and biology give us a greater insight into ageing and, thus, medicine? It could be said that hormesis and inflammation are expressions of thermodynamic and quantum principles that control ageing via natural selection that could operate at all scales of life. Inflammation could be viewed as a mechanism to remove inefficient systems in response to stress to enable rebuilding of more functional dissipative structures, and hormesis as the process describing the ability to adapt; underlying this is the manipulation of fundamental quantum principles. Defining what “quantum biological normality” is has been a long-term problem, but perhaps we do not need to, as it is simply an expression of one end of the normal quantum mechanical spectrum, implying that biology could inform us as to how we can define the quantum world
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