AMILI and NUHS have launched the predictor, which could help pave the way in identifying new treatment therapies of the gut in the future.

 

AMILI, Southeast Asia’s first microbiome bank and largest microbiome reference library, is partnering National University Health System (NUHS) to launch the Gut Health Predictor (GHP) on World Microbiome Day 2021.

GHP is the first of its kind self-assessment in Southeast Asia. It provides individuals quick and easy insights into their own gut health, and aims to raise awareness of the importance of the gut microbiome in overall health.

Associate Professor Jeremy Lim, co-founder and CEO, AMILI, said: “There is no health without gut health. Gut health has been implicated in many conditions such as dementia, obesity, autism and diabetes. It is therefore important for us to engage the public on the impact that diet and lifestyle have on gut health. We have been collaborating with leading academic institutions such as NUHS to conduct research on gut health, build knowledge, and understand the Asian gut microbiome.”

Through a series of under 30 simple questions about their lifestyle and diet on GHP, users can get a good indication of the status of their gut health, and how it could be affecting the rest of their body and mind. GHP is free and available at: www.amili.asia or https://tinyurl.com/GutHealthPredictor.

Added Dr Kristie Fan, consultant, Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital: “Emerging research is shedding light on remarkable links between our gut microbiome and a myriad of health conditions, both physical and mental. Our gut health is influenced by many factors, from what we eat and drink to how much we exercise, and the impact is huge. Thus far, most research has been centred on Western societies and diets.”

Developed by AMILI and corroborated by gastroenterologists from NUHS, GHP may potentially help clinicians find correlations between diets and lifestyles, and gut health. Through a map of data, these population-level analyses may offer insights that could align future therapy and intervention.

 

(** PHOTO CREDIT: Unsplash/Ava Sol)