免费看黄色大片-久久精品毛片-欧美日韩亚洲视频-日韩电影二区-天天射夜夜-色屁屁ts人妖系列二区-欧美色图12p-美女被c出水-日韩的一区二区-美女高潮流白浆视频-日韩精品一区二区久久-全部免费毛片在线播放网站-99精品国产在热久久婷婷-午夜精品理论片-亚洲人成网在线播放

New evidence shows that dietary fat, not sugar or protein, causes obesity in mice

Source: Xinhua| 2018-07-16 19:42:49|Editor: Yurou
Video PlayerClose

BEIJING, July 16 (Xinhua) -- Researchers from Chinese Academy of Sciences claim that eating too much fat is the only cause of obesity in mice, after extensive experiments on the animal.

People's diet is comprised of fat, protein, and carbohydrates. Since the 1980s, global research has focused on finding out which ingredients are the key factors for gaining weight.

Some argued that carbohydrates, especially sugar, was the leading cause, while others thought of protein, saying the purpose of eating food is to obtain protein rather than energy. A low protein diet may lead people to eat more, resulting in more energy and weight.

There was also a popular view that dietary fat could help people lose, not gain weight.

In this study, researchers exposed mice to 29 different diets varying from 8.3 percent to 80 percent fat, 10 percent to 80 percent carbohydrates, 5 percent to 30 percent protein, and 5 percent to 30 percent sucrose.

The experiment, involving five groups of 100,000 mice, lasted for three months, equivalent to nine years of human life.

They found that only increased dietary fat led to high energy intake and weight gains. Furthermore, food with high sugar content did not cause an increase in body weight, and low protein did not result in excessive energy intake, either.

The research, led by the academy's Institute of Genetics and Developmental Biology, was recently published in the international journal Cell Metabolism.

"The shortcoming of the research is that the experiment only used mice rather than humans. However, they have many similarities in physiology and metabolism, and it seems impossible to do such a long-term diet control study in humans," said John Speakman, leading researcher in the study.

"The research will help us better understand the human diet," said Speakman.

TOP STORIES
EDITOR’S CHOICE
MOST VIEWED
EXPLORE XINHUANET
010020070750000000000000011100001373287361