logo
Sheffield scientists developing 'breath test' for cancer

Sheffield scientists developing 'breath test' for cancer

BBC News15-02-2025

An aggressive form of cancer could be detected earlier through a simple breath test being developed by researchers from Sheffield Hallam University.Scientists are working on a test to spot signs of cancers including mesothelioma, a disease primarily affecting the lungs and almost always caused by exposure to asbestos, before symptoms emerge.Researchers said lives could be saved through the early detection and treatment of cancer.Dr Sarah Haywood-Small, associate head of university's school of biosciences and chemistry, said the work was "an encouraging step forward".
The tests have been developed in a laboratory on cells that have been treated with asbestos.The cancerous cells gave off compounds which could be detected in breath, according to the researchers.These so-called "red flags" were shown to be significant markers of cancer, appearing much sooner than most symptoms and acting as a type of "fingerprint", the scientists said.Cancer Research UK, which has put more than £70,000 into the project, said the findings could also potentially help detect other cancers linked to inflammation, including laryngeal and ovarian cancer.A spokesperson for the charity said doing a breath test would be a non-invasive way to regularly check people for early signs of disease.
Dr Haywood-Small said more research was still needed but initial results showed the team was "on track to develop a more effective diagnostic approach"."The human breath contains valuable biological information—offering a window into our body's metabolism," she said."By learning to read these signals, we can detect diseases earlier, monitor conditions more accurately, and potentially save lives."Listen to highlights from South Yorkshire on BBC Sounds, catch up with the latest episode of Look North or tell us a story you think we should be covering here.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Peterborough woman arrested after pedestrian hit by a car
Peterborough woman arrested after pedestrian hit by a car

BBC News

time27-05-2025

  • BBC News

Peterborough woman arrested after pedestrian hit by a car

A 30-year-old woman has been arrested after a pedestrian was hit by a car and left critically injured.A 39-year-old man was struck by a grey Mini Cooper while using the pedestrian crossing in Elmfield Road, Dogsthorpe, Peterborough, at about 02:00 BST on driver, from Peterborough, was arrested later that day on suspicion of causing serious injury by dangerous driving, driving while unfit through drink or drugs, failing to stop after an accident and driving without a licence. She has been bailed until 22 August, the force said. Officers said the driver had briefly stopped at the scene but left before the police arrived. The man remains in Addenbrooke's Hospital in Cambridge. An investigation has been launched and officers have appealed for anyone with information about the incident to come forward. Follow Peterborough news on BBC Sounds, Facebook, Instagram and X.

Global NHS osteoarthritis study could lead to new treatments
Global NHS osteoarthritis study could lead to new treatments

BBC News

time05-05-2025

  • BBC News

Global NHS osteoarthritis study could lead to new treatments

More than 900 genetic links to osteoarthritis, including 500 which have never been reported, have been uncovered in a research study in Teaching Hospitals NHS Foundation Trust said the "landmark" global study into osteoarthritis was the largest of its degenerative condition affects around 595 million people globally, and is the leading cause of disability and chronic pain worldwide, according to the hospital genome study used genetic information from nearly two million people, and was published in the journal Nature. Led by Helmholtz Munich, the largest scientific research organisation in Germany, genetic codes and DNA of almost half a million osteoarthritis sufferers globally - including 1,000 volunteers from Sheffield - were compared with that of 1.5 million people without the disease, the trust team identified 962 genetic variations more commonly found in those with osteoarthritis; more than 500 of which had not previously been identified, it number osteoarthritis sufferers was predicted to rise to a billion people by 2050 and despite the impact "no disease-modifying treatments are currently available", researchers the new work "paves the way for potential new drug treatments and personalised therapies," they continued. 'Repurpose existing treatments' Prof Mark Wilkinson, Honorary Consultant Orthopaedic Surgeon at the trust and the University of Sheffield, said the findings were "hugely important" and would "open up exciting new avenues" for millions."As well as identifying potential drug targets and opportunities for us to repurpose existing treatments that already target these genes in other conditions, this research has also significantly advanced our understanding of the underlying biological mechanisms associated with the disease," Prof Wilkinson biological processes which regulate the body's internal systems and cell function were found, "shedding light on the disease's biological mechanisms", the trust of these genes contain proteins already targeted by drugs approved for other conditions, which could accelerate treatment development, it added. Listen to highlights from South Yorkshire on BBC Sounds, catch up with the latest episode of Look North.

Arthritis diagnosis method can identify condition in just 10 minutes
Arthritis diagnosis method can identify condition in just 10 minutes

Daily Record

time04-05-2025

  • Daily Record

Arthritis diagnosis method can identify condition in just 10 minutes

New research suggests osteoarthritis and rheumatoid arthritis could be diagnosed and distinguished with an accuracy of over 94%. It is estimated around 1.5 million people in Scotland live with arthritis and related conditions. Around half of Scots say they experience pain every single day. However according to experts, a new method can now diagnose arthritis in just ten minutes by using bodily fluids. The results, published in scientific journal Small, also showed osteoarthritis and rheumatoid arthritis could be diagnosed and distinguished with an accuracy of over 94%. ‌ The technology achieved over 95% accuracy in determining the severity of rheumatoid arthritis, reports the Mirror. More than half of all people over the age of 65 experience symptoms of osteoarthritis, according to previous research. ‌ On the other hand, rheumatoid arthritis is known to be a serious chronic disease that affects around one in 100 people over the course of their lifetime. Although osteoarthritis and rheumatoid arthritis are often mistakingly labelled as similar, scientists say they differ in both their causes and treatments, making accurate distinction at the early diagnosis stage "critically" important. However until now, diagnosis has relied on X-rays, MRI scans, and blood tests, which are not only an expense and takes up a lot of time, but is also limited in its accuracy. Dr Ho Sang Jung and his research team at the Korea Institute of Materials Science (KIMS), in collaboration with Seoul St. Mary's Hospital, developed the technology that enables the diagnosis of osteoarthritis and rheumatoid arthritis using synovial fluid, contained in human joints. The researchers focused on the differences in the composition of metabolites - by-products of chemical processes occurring within the body - present in the fluid. ‌ By analysing the metabolic differences, they developed a technology capable of distinguishing between osteoarthritis and rheumatoid arthritis within 10 minutes, as well as assessing the severity of rheumatoid arthritis. The Korean team utilised Surface-Enhanced Raman Scattering (SERS) technology, a phenomenon in which the optical signals of molecules are amplified by several million times. ‌ Dr Jung said: "This technology amplifies signals from trace molecules present in synovial fluid and, through a combination of AI-based analysis and mathematical algorithms, detects minute substances responsible for arthritis." The team also developed a simple and rapid diagnostic method using a sensor composed of a sea urchin-shaped gold nanostructure formed on a paper surface with high moisture absorption, enabling efficient detection via body fluids. In collaboration with Seoul St. Mary's Hospital, the research team conducted tests using the new technology on 120 patients. ‌ The researchers say the findings show the technology not only significantly reduces the time and cost of arthritis diagnosis, but also ensures a high level of diagnostic accuracy. Dr Jung, the lead researcher at KIMS, added: "If this technology is commercialised, it will not only aid in diagnosis but also be highly useful in monitoring treatment progress. "We also plan to continue expanding our research to cover a wider range of diseases in the future."

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store