Bacteria could cause women to give birth prematurely, study finds

These findings could benefit a great number of expectant mothers

Sabrina Barr
Wednesday 24 January 2018 12:03 GMT
Comments
(Getty)

Your support helps us to tell the story

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging.

At such a critical moment in US history, we need reporters on the ground. Your donation allows us to keep sending journalists to speak to both sides of the story.

The Independent is trusted by Americans across the entire political spectrum. And unlike many other quality news outlets, we choose not to lock Americans out of our reporting and analysis with paywalls. We believe quality journalism should be available to everyone, paid for by those who can afford it.

Your support makes all the difference.

Pregnant women who are most at risk of giving birth prematurely could be identified by the microbes found in their reproductive tract, a study has discovered.

A team from Imperial College London carried out a study in which they collected swab samples from 250 pregnant women and further samples from 87 women who had suffered premature membrane ruptures.

The scientists came to the conclusion that subtle changes to the vaginal bacteria could lead to premature birth before the 37th week of pregnancy.

Out of the 250 pregnant participants, 27 gave birth early.

Dr David MacIntyre, the lead scientist from Imperial College London, explained the significance of their findings.

“This study is one of the first to show that around almost half of pregnant women may have an unbalanced vaginal microbiota before premature rupture, providing further evidence of the role of bacteria in some cases of premature births,” he said.

“Crucially, our findings identify two different groups of women with premature rupture - one group which targeted antibiotics may be beneficial and the other in which this same treatment may actually be detrimental.”

Previous research has deduced that the bacteria found in the vagina becomes less diverse during pregnancy, with an increase of the Lactobacillus species noted.

However, when levels of Lactobacillus bacteria drop and levels of other types of bacteria rise, this can lead to an expectant mother going into labour earlier than expected.

Lactobacillus bacteria can usually be found in the digestive system, the urinary system and the genital system of the human body.

These changes in the vaginal bacteria could also pose a health risk to mothers and their babies, with newborns potentially facing the danger of experiencing sepsis.

The study conducted by Imperial College London and published in the journal BMC Medicine could give doctors the tools they need to provide pregnant women with the specific antibiotic treatment that they need.

“Our results suggest that a more personalised approach targeting only those women likely to benefit from antibiotics may prove more beneficial than the current ‘one treatment fits all’ approach,” says Dr Richard Brown, co-author of the study.

Professor Siobhan Quenby from the Royal College of Obstetricians and Gynaecologists further emphasised this point, stating: “More research is needed to determine the link between vaginal bacteria and preterm birth, and if so, changes may be made to the recommended treatment of preterm pre-labour rupture of membranes which is currently the same for all women.

“There is now the exciting possibility of a future where women are tested and given the best antibiotic for them as an individual."

Join our commenting forum

Join thought-provoking conversations, follow other Independent readers and see their replies

Comments

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged inPlease refresh your browser to be logged in