2021年11月10日星期三

What causes "ten men and nine hemorrhoids"? Research: nearly 100 scholars analyzed the data of 950000 people and revealed the pathogenesis of hemorrhoids

Transferred from: China Biotechnology Network

Hemorrhoids is one of the most common anal diseases in clinic. According to the different parts, hemorrhoids can be divided into internal hemorrhoids, external hemorrhoids and mixed hemorrhoids. No matter what kind, hemorrhoids are affecting a large part of the global population. Therefore, there is the saying of "ten men and nine hemorrhoids, ten women and ten hemorrhoids". This unspeakable discomfort will also affect the quality of life when it is serious. However, until now, the pathogenesis and potential risk factors of hemorrhoids are still elusive.

On April 23, Beijing time, in a study published in gut, an international research team of nearly 100 people led by Monash University in Australia identified the cause of hemorrhoids by analyzing the genomic data of nearly 950000 people for the first time. This study provides important insights for further understanding the pathogenesis of hemorrhoids.

Hemorrhoids are pathological hypertrophy of the anal pad at the lower end of the rectum, causing pain, itching and sometimes bleeding, limiting daily activities. Most patients with hemorrhoids can be treated with over-the-counter drugs, but more serious patients need surgery.

It is generally believed that there are many risk factors leading to hemorrhoids, including sedentary, obesity, too little dietary fiber intake, too long toilet time or tension during defecation, and excessive force. But few people think about it from a genetic perspective.

In this study, the research team conducted a genome-wide association study (GWA) meta-analysis of 218920 hemorrhoids patients and 725213 healthy people from the UK Biobank and the European population cohort study, conducted a variety of genetic correlation analysis between hemorrhoids and other traits, and calculated the polygenic risk score of hemorrhoids, Their transformation potential in independent data sets was evaluated.

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