果冻影院

XClose

果冻影院 News

Home
Menu

How antibiotics change human microbiome diversity long-term

25 March 2019

A single course of antibiotics can change the composition of oral and gut microbiomes for at least a year, according to a modelling study by 果冻影院 researchers.

microbiome

Moreover, this change leads to a decrease in the number and types of microbes found in the gut, but an increase in the diversity of the oral microbiome. These patterns have been previously associated with poorer health, although the full impacts are not yet known.

The microbiome is the name given to the collection of 10-100 trillion microorganisms such as bacteria, viruses, fungi and microscopic animals that live all over our bodies, and how they interact with the environment around them.

Over 95% of the microbiome鈥檚 bacteria live in the gut. Maintaining a healthy gut with hundreds of species of bacteria is thought to be beneficial, but the impacts of antibiotic-driven shifts of the human microbiome have yet to be fully assessed.

鈥淭hough we don鈥檛 fully understand the exact role the microbiome plays in maintaining health, the effect of antibiotics is dramatic and are likely to be of some importance,鈥 explained study author Professor Francois Balloux (果冻影院 Genetics Institute).

鈥淲e think it鈥檚 particularly relevant to children in the developing world, where a vicious circle of malnutrition and poor sanitary conditions are likely amplified by repeated courses of antibiotics to fuel a vicious circle leading to stunted development.鈥

For the study, published today in The ISME Journal, the researchers developed a simple, quantitative model to measure the impact of antibiotics on the gut and oral microbiome by tracking the diversity of microbes. The model was successfully tested using clinical data from previous peer-reviewed studies.

鈥淧eople have known that antibiotics decrease the diversity of microbes in the gut before it recovers, but the model we鈥檝e developed suggests that the disturbance may transition the microbiome to a new composition, perhaps permanently,鈥 said first author Dr Liam Shaw (果冻影院 Genetics Institute and CoMPLEX).

鈥淚f you picture the state of the microbiome as a ball resting in a valley, antibiotics can 鈥榢ick鈥 the ball up and out of the valley into a different valley, where it may not be able to return to the first one.鈥

The team fitted the model to data from a previous study of the year-long effects of short course of four common antibiotics 鈥 ciprofloxacin, clindamycin, minocyline and amoxicillin 鈥揳gainst a placebo.

They found the model agreed with data from individuals who received antibiotics over placebos, with the biggest disturbance to the gut and oral microbiomes seen in individuals given ciprofloxacin and clindamycin.

For individuals treated with these antibiotics, the gut microbiome changed to a less diverse state with fewer types of bacterial species, whereas conversely the oral microbiome showed an increase in diversity.

The model also revealed that the effects of clindamycin persist for a year after exposure, which hadn鈥檛 been apparent from the data previously.听

鈥淎s we only used a small sample size and only tracked one metric 鈥 diversity 鈥 we must be cautious about over-interpretation of the results. Our model certainly doesn鈥檛 capture the full complexity of the microbial community,鈥 said Professor Balloux.

鈥淓ven so, the impact we saw raises concerns about the length of antibiotic courses and the long-term impacts of antibiotic use. We think it鈥檚 particularly relevant to children in the developing world: a vicious circle of malnutrition and poor sanitary conditions might be amplified by repeated courses of antibiotics.鈥

鈥淲e do know that where gut populations of microbes take a long time to recover, or sometimes don鈥檛 recover at all, individuals are likely to be at more risk from colonisation and overgrowth of pathogenic species,鈥 added Dr Shaw. 鈥淎ntibiotics are sometimes extremely necessary, but this kind of 鈥榗ollateral damage鈥 鈥 which varies by antibiotic 鈥 should probably be considered more in the future when making prescribing decisions.鈥

The team are interested to apply their model to other datasets, with the hope of developing a consistent framework for quantifying the impact of antibiotics on the microbiome.

Links

Image

颁谤别诲颈迟:听Getty Images/iStockphoto

Media contact

Bex Caygill

Tel: +44 (0)20 3108 3846

Email: r.caygill [at] ucl.ac.uk