Obesity is a medical condition caused by excess body fat accumulated to some extent that impacts personal health. The hallmark of obesity is attenuated metabolism and structural cell changes in the obese fat observed by reducing metabolic activity.
According to the Body Mass Index(BMI), people who have a BMI between 25 to 29.9 are considered overweight and a BMI of over 30 is an indication of obesity.
The formula of the BMI indexBMI= weight (kg)/ height (m2)
According to the statistics, 68% of the American population is either overweight or obese. However,
In 2016, more than 1.9 billion adults, 18 years and older, were overweight, including over 650 million who were obese worldwide.
Visceral fat obesity is associated with 90% of patients with ischemic heart disease. In obese, accumulation of visceral fat is predominant in the intra-abdominal cavity.
Visceral fat is a layer of fat that surrounds the organs. Overexpression of visceral fat has been found to promote insulin resistance, diabetes, heart disease, and inflammation.
However, in non-obese subjects, visceral fat accumulation is correlated with glucose intolerance, hyperlipidemia, and hypertension.
Obesity rates have increased for all age groups in the US over the last several decades, coincidently with the periods that promoted the Western diet.
Weight gain is an increase in body weight associated with some parameters, including increased muscle mass, fat deposits, excess fluids such as water, or other factors.
However, weight gain has also been found to be induced by serious medical conditions.
In finding a natural ingredient for the prevention and treatment of obesity, scientists examined the radix Angelica sinensis (RAS) suppressed body weight by altering the expression of the fat mass and obesity-associated (FTO) gene in an animal model.
Angelica or Dang Gui is a herb of Genus Angelica from the family Apiaceae, indigenous to China.
The herb has been used as a Queen herb in traditional Chinese medicine antispasmodic and vasodilatory agent, and to balance the hormones in women for a normal menstrual cycle and menstruation and strengthen the heart, spleen, kidneys, and liver for both men and women, etc. In other words, it is used to treat gynecological ailments, fatigue, mild anemia, and high blood pressure. It has analgesic, anti-inflammatory, etc.
According to tested analysis in mice fed with high-fat diet (HFD)-induced obesity,
* 36 differentially expressed genes (DEGs) associated with the increased onset of obesity were found in adipose tissues from the RAS supplementation group (DH) and control group (HC).
* Six out of the 36 DEGs identified to be involved in lipid metabolism, with the APOA2 gene a potential anti-obesogenic influence were inhibited by the injection of RAS compared to control.
In other words, RAS supplementation in HFD-induced obese mice was associated with an anti-obesogenic global transcriptomic response.
Based on the results, researchers suggest, "This study provides insight into potential applications of RAS in obesity therapy".
Taken altogether, Dandelion may be considered a remedy for the treatment of weight gain in obese, pending the confirmation of the larger sample size and multicenter human study.
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Author Biography
Kyle J. Norton (Scholar, Master of Nutrition, All rights reserved)
Health article writer and researcher; Over 10,000 articles and research papers have been written and published online, including worldwide health, ezine articles, article base, health blogs, self-growth, Best Before it's news, the Karate GB daily, etc.,.
Named TOP 50 MEDICAL ESSAYS FOR ARTISTS & AUTHORS TO READ by Disilgold.com Named 50 of the best health Tweeters Canada - Huffington Post
Nominated for Shorty Award over last 4 years
Some articles have been used as references in medical research, such as the international journal Pharma and Bioscience, ISSN 0975-6299.
Sources
(1) Anti-obesity effect of radix Angelica sinensis and candidate causative genes in transcriptome analyses of adipose tissues in high-fat diet-induced mice by Zhong T1, Zhang H1, Duan X1, Hu J1, Wang L1, Li L1, Zhang H1, Niu L. (PubMed)
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