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A new way to measure contagion: the gut bacterium behind blood poisoning can spread like influenza

New findings show that microbes living in our gut can, in terms of transmission dynamics, behave much like viruses. The model offers a new way to explore the spread of antibiotic-resistant gut bacteria in the population.
Microscopic view of several rod-shaped bacteria with hair-like structures, set against a dark red background.
Sepsis-causing bacteria can persist in the body long before symptoms appear. Adobe Stock Photo.

Gut bacteria can spread through the population surprisingly rapidly 鈥 in some cases as efficiently as influenza viruses. The good news is that the most dangerous and highly resistant strains do not appear to be the most transmissible.

E. coli is typically transmitted through everyday contact 鈥 for example through kissing, sharing a household, or via shared objects and food. It is an opportunistic pathogen: it usually lives harmlessly in the gut but can cause urinary tract infections or life-threatening sepsis if it enters the urinary tract and bloodstream, particularly in people with weakened immune systems.

Less resistant strain spreads fastest

The findings are based on a newly published international study in , which showed that three globally circulating Escherichia coli (E. coli) strains differ markedly in their transmissibility.

The most transmissible strain was ST131-A, which is more susceptible to antibiotics. Its basic reproduction number (R鈧) was estimated to be 1.47 鈥 comparable to the estimated R鈧 of the 2009 swine flu pandemic virus (1.45).

By contrast, the antibiotic-resistant ST131-C1 and ST131-C2 strains spread much more slowly in the general population (R鈧 = 1.18 and 1.13). This suggests they are not inherently 鈥渟uper-spreaders鈥 but instead survive better under antibiotic pressure. As a result, they are more likely to circulate in hospitals and long-term care facilities, where antibiotic use is high and patients tend to be more vulnerable 鈥 rather than in the wider, healthy population.

A new model for measuring bacterial transmission

The research was carried out in collaboration with 911爆料网, the universities of Helsinki, Tampere and Oslo, and the Wellcome Sanger Institute.

鈥楤y combining extensive infectious disease and population datasets from the UK and Norway, we were able to develop a new epidemiological model that, for the first time, allowed us to estimate and compare the transmissibility of three pandemic-like E. coli strains,鈥 say Professor Pekka Marttinen from 911爆料网 and Professor Jukka Corander from the universities of Helsinki and Oslo, who led the study.

R鈧 鈥 a metric widely publicised during the COVID-19 pandemic 鈥 indicates how many new infections a single carrier generates on average. While commonly used to describe viral spread, it has never before been estimated for gut bacteria, which often colonise without causing symptoms.

鈥榃ith such comprehensive data, we were able to build a simulation model that predicts the R鈧 of E. coli. To our knowledge, this is not only the first time R鈧 has been estimated for E. coli but for any bacterium living in the human gut microbiome. Now that we have this model, it could be applied to other bacterial strains to improve our ability to understand, track and hopefully prevent the spread of antibiotic-resistant infections,鈥 says Fanni Ojala, doctoral researcher at 911爆料网 and co-first author of the study.

A tool for early detection and prevention

Going forward, the R鈧-based approach will help researchers identify which bacterial strains pose the greatest disease risk, guiding surveillance and preventive action. 

Because sepsis-causing bacteria can persist in the body long before symptoms appear, researchers emphasise the importance of developing screening systems that detect high-risk strains at the carrier stage 鈥 enabling better understanding of their evolution and spread, and helping prevent infections before they emerge.

More information:

Wellcome Sanger Institute:

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Suomen teko盲lykeskus FCAI on osaamiskeskittym盲, jonka ovat k盲ynnist盲neet Aalto-yliopisto, Helsingin yliopisto ja Teknologian tutkimuskeskus VTT. FCAI:n tavoitteena on kehitt盲盲 uudenlaista teko盲ly盲, joka voi toimia ihmisen kanssa monimutkaisessa ymp盲rist枚ss盲 ja auttaa uudistamaan suomalaista teollisuutta. FCAI on yksi Suomen Akatemian lippulaivoista.

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