Medicinal Properties of Tinospora Cordifolia (Guduchi)
Tinospora cordifolia is one of the most important medicinal plant commonly known as Giloy belonging to menispermaceae family is a deciduous climbing shrub described known for its immense application in the treatment of various diseases such as jaundice, fever, diabetes, and skin diseases etc.The chemical constituents of this shrub belong to different classes such as alkaloid, lactones, steroids, phenolics, aliphatic compound, glycosides and polyscharide compounds having medical importance.
Tinospora Cordifolia: A review of its immunomodulatory properties
Abstract Emergent health threats have heightened human awareness of the need for health and wellness measures that promote resilience to disease. In addition to proper nutrition and exercise, health-conscious consumers are seeking natural-based modalities, e.g. botanical preparations, that positively impact the immune system. In Ayurvedic ethnomedicine, Tinospora cordifolia (T. cordifolia), a deciduous climbing shrub indigenous to India, has been used to historically to combat acute and chronic inflammation as well as to promote a balanced immune response. As a dietary supplement, T. cordifolia has been administered most often as a decoction either alone or in compositions containing other medicinal plant extracts of the Terminalia and Phyllanthus species. Extensive phytochemical characterization of aqueous and alcoholic extracts of different Tinospora species has identified over two hundred different phytochemicals from non-overlapping chemical classes with the most abundant being diterpenoids containing the clerodane-type skeleton. Numerous pharmacology studies have demonstrated that T. cordifolia modulates key signaling pathways related to cell proliferation, inflammation, and immunomodulation. However, rigorous dereplication studies to identify active constituents in various T. cordifolia extracts and their fractions are lacking. In this review, we will summarize the current information regarding T. cordifolia’s ethnomedicinal uses, phytochemistry, pharmacological activities, and safety in order to highlight its potential as an immunomodulatory dietary supplement.
Complexity, Network-Decisions And Alternative Risk Premia: Some New Theories Of Structural Change And Portfolio Decisions.
Structural Change is the basis for many decisions such as government fiscal and monetary policies, government interventions, corporate-expenditure decisions, corporate strategic decisions, portfolio management decisions in finance; household allocation decisions, etc.. Structural change in industries and national economies is increasingly more difficult to detect partly because of the growth and dominance of Complex Systems and “Networks” in modern industries and economies – such Networks and Complex Systems include GVCs (global value chains), retail store networks; franchising networks; internet networks; services networks; credit-chains in industries; online social networks; etc.. The relationship between Complexity and Structural Change is well established in the physics, applied math and economic dynamics literatures. Traditional definitions and modeling of structural change have erroneously focused on changes in labor, technological progress, market share, and or capital – which are grossly inadequate in the new economy and post- global financial crisis (as confirmed by changes in the global retailing and housing industries and other industries). Also the modeling of structural change seems to be constrained by the availability of data, and often omits the relationship between structural change on one hand, and globalization, financial stability and international financial contagion. This article: i) introduces the Operations Strategy Model of structural change, explains how it differs from the Lewis Model of Structural Change; and explains the often omitted relationship between operations strategy (of companies and government agencies) and structural change; ii) introduces other new Complexity-based models/theories of Structural Change in industries; iii) reviews the relationships among Operations Research, Complexity and Structural Change; iv) explains the symbiotic relationship between structural change on one hand, and economic growth, financial stability, financial contagion and globalization; v) discusses the significant gap between academic research and practice and explains some issues and factors that should be considered in the development and testing of structural change models; vi) explains how alternative risk premia can be generated from new models of Structural Change.