̽��ֱ�� of Cambridge - Royal Society

Highly-sensitive beaks could help albatrosses and penguins find their food

sc604 — Wed, 18 Sep 2024 00:09:46 +0000

Researchers have discovered that seabirds, including penguins and albatrosses, have highly-sensitive regions in their beaks that could be used to help them find food. This is the first time this ability has been identified in seabirds.

Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer’s disease

cjb250 — Fri, 12 Jul 2024 22:30:52 +0000

̽��ֱ��team say this new approach could reduce the need for invasive and costly diagnostic tests while improving treatment outcomes early when interventions such as lifestyle changes or new medicines may have a chance to work best.

Dementia poses a significant global healthcare challenge, affecting over 55 million people worldwide at an estimated annual cost of $820 billion. ̽��ֱ��number of cases is expected to almost treble over the next 50 years.

̽��ֱ��main cause of dementia is Alzheimer’s disease, which accounts for 60-80% of cases. Early detection is crucial as this is when treatments are likely to be most effective, yet early dementia diagnosis and prognosis may not be accurate without the use of invasive or expensive tests such as positron emission tomography (PET) scans or lumbar puncture, which are not available in all memory clinics. As a result, up to a third of patients may be misdiagnosed and others diagnosed too late for treatment to be effective.

A team led by scientists from the Department of Psychology at the ̽��ֱ�� of Cambridge has developed a machine learning model able to predict whether and how fast an individual with mild memory and thinking problems will progress to developing Alzheimer’s disease. In research published today in eClinical Medicine, they show that it is more accurate than current clinical diagnostic tools.

To build their model, the researchers used routinely-collected, non-invasive, and low-cost patient data – cognitive tests and structural MRI scans showing grey matter atrophy – from over 400 individuals who were part of a research cohort in the USA.

They then tested the model using real-world patient data from a further 600 participants from the US cohort and – importantly – longitudinal data from 900 people from memory clinics in the UK and Singapore.

̽��ֱ��algorithm was able to distinguish between people with stable mild cognitive impairment and those who progressed to Alzheimer’s disease within a three-year period. It was able to correctly identify individuals who went on to develop Alzheimer’s in 82% of cases and correctly identify those who didn’t in 81% of cases from cognitive tests and an MRI scan alone.

̽��ֱ��algorithm was around three times more accurate at predicting the progression to Alzheimer’s than the current standard of care; that is, standard clinical markers (such as grey matter atrophy or cognitive scores) or clinical diagnosis. This shows that the model could significantly reduce misdiagnosis.

̽��ֱ��model also allowed the researchers to stratify people with Alzheimer’s disease using data from each person’s first visit at the memory clinic into three groups: those whose symptoms would remain stable (around 50% of participants), those who would progress to Alzheimer’s slowly (around 35%) and those who would progress more rapidly (the remaining 15%). These predictions were validated when looking at follow-up data over 6 years. This is important as it could help identify those people at an early enough stage that they may benefit from new treatments, while also identifying those people who need close monitoring as their condition is likely to deteriorate rapidly.

Importantly, those 50% of people who have symptoms such as memory loss but remain stable, would be better directed to a different clinical pathway as their symptoms may be due to other causes rather than dementia, such as anxiety or depression.

Senior author Professor Zoe Kourtzi from the Department of Psychology at the ̽��ֱ�� of Cambridge said: “We’ve created a tool which, despite using only data from cognitive tests and MRI scans, is much more sensitive than current approaches at predicting whether someone will progress from mild symptoms to Alzheimer’s – and if so, whether this progress will be fast or slow.

“This has the potential to significantly improve patient wellbeing, showing us which people need closest care, while removing the anxiety for those patients we predict will remain stable. At a time of intense pressure on healthcare resources, this will also help remove the need for unnecessary invasive and costly diagnostic tests.”

While the researchers tested the algorithm on data from a research cohort, it was validated using independent data that included almost 900 individuals who attended memory clinics in the UK and Singapore. In the UK, patients were recruited through the Quantiative MRI in NHS Memory Clinics Study (QMIN-MC) led by study co-author Dr Timothy Rittman at Cambridge ̽��ֱ�� Hospitals NHS Trust and Cambridgeshire and Peterborough NHS Foundation Trusts (CPFT).

̽��ֱ��researchers say this shows it should be applicable in a real-world patient, clinical setting.

Dr Ben Underwood, Honorary Consultant Psychiatrist at CPFT and assistant professor at the Department of Psychiatry, ̽��ֱ�� of Cambridge, said: “Memory problems are common as we get older. In clinic I see how uncertainty about whether these might be the first signs of dementia can cause a lot of worry for people and their families, as well as being frustrating for doctors who would much prefer to give definitive answers. ̽��ֱ��fact that we might be able to reduce this uncertainty with information we already have is exciting and is likely to become even more important as new treatments emerge.”

Professor Kourtzi said: “AI models are only as good as the data they are trained on. To make sure ours has the potential to be adopted in a healthcare setting, we trained and tested it on routinely-collected data not just from research cohorts, but from patients in actual memory clinics. This shows it will be generalisable to a real-world setting.”

̽��ֱ��team now hope to extend their model to other forms of dementia, such as vascular dementia and frontotemporal dementia, and using different types of data, such as markers from blood tests.

Professor Kourtzi added: “If we’re going to tackle the growing health challenge presented by dementia, we will need better tools for identifying and intervening at the earliest possible stage. Our vision is to scale up our AI tool to help clinicians assign the right person at the right time to the right diagnostic and treatment pathway. Our tool can help match the right patients to clinical trials, accelerating new drug discovery for disease modifying treatments.”

This work was in collaboration with a cross-disciplinary team including Professor Peter Tino at the ̽��ֱ�� of Birmingham and Professor Christopher Chen at the National ̽��ֱ�� of Singapore. It was funded by Wellcome, the Royal Society, Alzheimer’s Research UK, the Alzheimer’s Drug Discovery Foundation Diagnostics Accelerator, the Alan Turing Institute, and the National Institute for Health and Care Research Cambridge Biomedical Research Centre.

Reference
Lee, LY & Vaghari, D et al. Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings. eClinMed; 12 July 2024; DOI: 10.1016/j.eclinm.2024.102725

Cambridge scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer’s disease.

We’ve created a tool which is much more sensitive than current approaches at predicting whether someone will progress from mild symptoms to Alzheimer’s

Zoe Kourtzi

Yuichiro Chino (Getty Images)

Brain on molecular structure, circuitry, and programming code background

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Electrified charcoal ‘sponge’ can soak up CO2 directly from the air

sc604 — Wed, 05 Jun 2024 15:00:10 +0000

Researchers from the ̽��ֱ�� of Cambridge used a method similar to charging a battery to instead charge activated charcoal, which is often used in household water filters.

By charging the charcoal ‘sponge’ with ions that form reversible bonds with CO2, the researchers found the charged material could successfully capture CO2 directly from the air.

̽��ֱ��charged charcoal sponge is also potentially more energy efficient than current carbon capture approaches, since it requires much lower temperatures to remove the captured CO2 so it can be stored. ̽��ֱ��results are reported in the journal Nature.

“Capturing carbon emissions from the atmosphere is a last resort, but given the scale of the climate emergency, it’s something we need to investigate,” said Dr Alexander Forse from the Yusuf Hamied Department of Chemistry, who led the research. “ ̽��ֱ��first and most urgent thing we’ve got to do is reduce carbon emissions worldwide, but greenhouse gas removal is also thought to be necessary to achieve net zero emissions and limit the worst effects of climate change. Realistically, we’ve got to do everything we can.”

Direct air capture, which uses sponge-like materials to remove carbon dioxide from the atmosphere, is one potential approach for carbon capture, but current approaches are expensive, require high temperatures and the use of natural gas, and lack stability.

“Some promising work has been done on using porous materials for carbon capture from the atmosphere,” said Forse. “We wanted to see if activated charcoal might be an option, since it’s cheap, stable and made at scale.”

Activated charcoal is used in many purification applications, such as water filters, but normally it can’t capture and hold CO2 from the air. Forse and his colleagues proposed that if activated charcoal could be charged, like a battery, it could be a suitable material for carbon capture.

When charging a battery, charged ions are inserted into one of the battery’s electrodes. ̽��ֱ��researchers hypothesised that charging activated charcoal with chemical compounds called hydroxides would make it suitable for carbon capture, since hydroxides form reversible bonds with CO2.

̽��ֱ��team used a battery-like charging process to charge an inexpensive activated charcoal cloth with hydroxide ions. In this process, the cloth essentially acts like an electrode in a battery, and hydroxide ions accumulate in the tiny pores of the charcoal. At the end of the charging process, the charcoal is removed from the “battery”, washed and dried.

Tests of the charged charcoal sponge showed that it could successfully capture CO2 directly from the air, thanks to the bonding mechanism of the hydroxides.

“It’s a new way to make materials, using a battery-like process,” said Forse. “And the rates of CO2 capture are already comparable to incumbent materials. But what’s even more promising is this method could be far less energy-intensive, since we don’t require high temperatures to collect the CO2 and regenerate the charcoal sponge.”

To collect the CO2 from the charcoal so it can be purified and stored, the material is heated to reverse the hydroxide-CO2 bonds. In most materials currently used for CO2 capture from air, the materials need to be heated to temperatures as high as 900°C, often using natural gas. However, the charged charcoal sponges developed by the Cambridge team only require heating to 90-100°C, temperatures that can be achieved using renewable electricity. ̽��ֱ��materials are heated through resistive heating, which essentially heats them from the inside out, making the process faster and less energy-intensive.

̽��ֱ��materials do, however, have limitations that the researchers are now working on. “We are working now to increase the quantity of carbon dioxide that can be captured, and in particular under humid conditions where our performance decreases,” said Forse.

̽��ֱ��researchers say their approach could be useful in fields beyond carbon capture, since the pores in the charcoal and the ions inserted into them can be fine-tuned to capture a range of molecules.

“This approach was a kind of crazy idea we came up with during the Covid-19 lockdowns, so it’s always exciting when these ideas actually work,” said Forse. “This approach opens a door to making all kinds of materials for different applications, in a way that’s simple and energy-efficient.”

A patent has been filed and the research is being commercialised with the support of Cambridge Enterprise, the ̽��ֱ��’s commercialisation arm.

̽��ֱ��research was supported in part by the Leverhulme Trust, the Royal Society, the Engineering and Physical Sciences Research Council (EPSRC), part of UK Research and Innovation (UKRI), and the Centre for Climate Repair at Cambridge.

Reference:
Huaiguang Li et al. ‘Capturing carbon dioxide from air with charged sorbents.’ Nature (2024). DOI: 10.1038/s41586-024-07449-2

Researchers have developed a low-cost, energy-efficient method for making materials that can capture carbon dioxide directly from the air.

̽��ֱ��first and most urgent thing we’ve got to do is reduce carbon emissions worldwide, but greenhouse gas removal is also thought to be necessary to achieve net zero emissions and limit the worst effects of climate change. Realistically, we’ve got to do everything we can

Alex Forse

Sample of activated charcoal used to capture carbon dioxide

Yes

Getting to grips with an extra thumb

cjb250 — Wed, 29 May 2024 18:00:58 +0000

Cambridge researchers have shown that members of the public have little trouble in learning very quickly how to use a third thumb – a controllable, prosthetic extra thumb – to pick up and manipulate objects.

Imperceptible sensors made from ‘electronic spider silk’ can be printed directly on human skin

sc604 — Fri, 24 May 2024 09:23:44 +0000

̽��ֱ��method, developed by researchers from the ̽��ֱ�� of Cambridge, takes its inspiration from spider silk, which can conform and stick to a range of surfaces. These ‘spider silks’ also incorporate bioelectronics, so that different sensing capabilities can be added to the ‘web’.

̽��ֱ��fibres, at least 50 times smaller than a human hair, are so lightweight that the researchers printed them directly onto the fluffy seedhead of a dandelion without collapsing its structure. When printed on human skin, the fibre sensors conform to the skin and expose the sweat pores, so the wearer doesn’t detect their presence. Tests of the fibres printed onto a human finger suggest they could be used as continuous health monitors.

This low-waste and low-emission method for augmenting living structures could be used in a range of fields, from healthcare and virtual reality, to electronic textiles and environmental monitoring. ̽��ֱ��results are reported in the journal Nature Electronics.

Although human skin is remarkably sensitive, augmenting it with electronic sensors could fundamentally change how we interact with the world around us. For example, sensors printed directly onto the skin could be used for continuous health monitoring, for understanding skin sensations, or could improve the sensation of ‘reality’ in gaming or virtual reality application.

While wearable technologies with embedded sensors, such as smartwatches, are widely available, these devices can be uncomfortable, obtrusive and can inhibit the skin’s intrinsic sensations.

“If you want to accurately sense anything on a biological surface like skin or a leaf, the interface between the device and the surface is vital,” said Professor Yan Yan Shery Huang from Cambridge’s Department of Engineering, who led the research. “We also want bioelectronics that are completely imperceptible to the user, so they don’t in any way interfere with how the user interacts with the world, and we want them to be sustainable and low waste.”

There are multiple methods for making wearable sensors, but these all have drawbacks. Flexible electronics, for example, are normally printed on plastic films that don’t allow gas or moisture to pass through, so it would be like wrapping your skin in cling film. Other researchers have recently developed flexible electronics that are gas-permeable, like artificial skins, but these still interfere with normal sensation, and rely on energy- and waste-intensive manufacturing techniques.

3D printing is another potential route for bioelectronics since it is less wasteful than other production methods, but leads to thicker devices that can interfere with normal behaviour. Spinning electronic fibres results in devices that are imperceptible to the user, but don't have a high degree of sensitivity or sophistication, and they’re difficult to transfer onto the object in question.

Now, the Cambridge-led team has developed a new way of making high-performance bioelectronics that can be customised to a wide range of biological surfaces, from a fingertip to the fluffy seedhead of a dandelion, by printing them directly onto that surface. Their technique takes its inspiration in part from spiders, who create sophisticated and strong web structures adapted to their environment, using minimal material.

̽��ֱ��researchers spun their bioelectronic ‘spider silk’ from PEDOT:PSS (a biocompatible conducting polymer), hyaluronic acid and polyethylene oxide. ̽��ֱ��high-performance fibres were produced from water-based solution at room temperature, which enabled the researchers to control the ‘spinnability’ of the fibres. ̽��ֱ��researchers then designed an orbital spinning approach to allow the fibres to morph to living surfaces, even down to microstructures such as fingerprints.

Tests of the bioelectronic fibres, on surfaces including human fingers and dandelion seedheads, showed that they provided high-quality sensor performance while being imperceptible to the host.

“Our spinning approach allows the bioelectronic fibres to follow the anatomy of different shapes, at both the micro and macro scale, without the need for any image recognition,” said Andy Wang, the first author of the paper. “It opens up a whole different angle in terms of how sustainable electronics and sensors can be made. It’s a much easier way to produce large area sensors.”

Most high-resolution sensors are made in an industrial cleanroom and require the use of toxic chemicals in a multi-step and energy-intensive fabrication process. ̽��ֱ��Cambridge-developed sensors can be made anywhere and use a tiny fraction of the energy that regular sensors require.

̽��ֱ��bioelectronic fibres, which are repairable, can be simply washed away when they have reached the end of their useful lifetime, and generate less than a single milligram of waste: by comparison, a typical single load of laundry produces between 600 and 1500 milligrams of fibre waste.

“Using our simple fabrication technique, we can put sensors almost anywhere and repair them where and when they need it, without needing a big printing machine or a centralised manufacturing facility,” said Huang. “These sensors can be made on-demand, right where they’re needed, and produce minimal waste and emissions.”

̽��ֱ��researchers say their devices could be used in applications from health monitoring and virtual reality, to precision agriculture and environmental monitoring. In future, other functional materials could be incorporated into this fibre printing method, to build integrated fibre sensors for augmenting the living systems with display, computation, and energy conversion functions. ̽��ֱ��research is being commercialised with the support of Cambridge Enterprise, the ̽��ֱ��’s commercialisation arm.

̽��ֱ��research was supported in part by the European Research Council, Wellcome, the Royal Society, and the Biotechnology and Biological Sciences Research Council (BBSRC), part of UK Research and Innovation (UKRI).

Reference:
Wenyu Wang et al. ‘Sustainable and imperceptible augmentation of living structures with organic bioelectronic fibres.’ Nature Electronics (2024). DOI: 10.1038/s41928-024-01174-4

Researchers have developed a method to make adaptive and eco-friendly sensors that can be directly and imperceptibly printed onto a wide range of biological surfaces, whether that’s a finger or a flower petal.

Huang Lab, Cambridge

Sensors printed on human fingers

Yes

Ten Cambridge scientists elected as Fellows of the Royal Society 2024

Anonymous — Thu, 16 May 2024 08:51:02 +0000

̽��ֱ��Royal Society is a self-governing Fellowship of many of the world’s most distinguished scientists drawn from all areas of science, engineering and medicine.

̽��ֱ��Society’s fundamental purpose, as it has been since its foundation in 1660, is to recognise, promote and support excellence in science and to encourage the development and use of science for the benefit of humanity.

This year, over 90 researchers, innovators and communicators from around the world have been elected as Fellows of the Royal Society for their substantial contribution to the advancement of science. Nine of these are from the ̽��ֱ�� of Cambridge.

Sir Adrian Smith, President of the Royal Society said: “I am pleased to welcome such an outstanding group into the Fellowship of the Royal Society.

“This new cohort have already made significant contributions to our understanding of the world around us and continue to push the boundaries of possibility in academic research and industry.

“From visualising the sharp rise in global temperatures since the industrial revolution to leading the response to the Covid-19 pandemic, their diverse range of expertise is furthering human understanding and helping to address some of our greatest challenges. It is an honour to have them join the Fellowship.”

̽��ֱ��Fellows and Foreign Members join the ranks of Stephen Hawking, Isaac Newton, Charles Darwin, Albert Einstein, Lise Meitner, Subrahmanyan Chandrasekhar and Dorothy Hodgkin.

̽��ֱ��new Cambridge fellows are:

Professor Sir John Aston Kt FRS

Aston is the Harding Professor of Statistics in Public Life at the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, where he develops techniques for public policy and improves the use of quantitative methods in public policy debates.

From 2017 to 2020 he was the Chief Scientific Adviser to the Home Office, providing statistical and scientific advice to ministers and officials, and was involved in the UK’s response to the Covid pandemic. He was knighted in 2021 for services to statistics and public policymaking, and is a Fellow of Churchill College.

Professor Sarah-Jayne Blakemore FBA FMedSci FRS

Blakemore is the Professor of Psychology and Cognitive Neuroscience, Department of Psychology, and leader of the Developmental Cognitive Neuroscience Group. Her research focuses on the development of social cognition and decision making in the human adolescent brain, and adolescent mental health.

Blakemore has been awarded several national and international prizes for her research, and is a Fellow of the British Academy, the American Association of Psychological Science and the Academy of Medical Sciences.

Professor Patrick Chinnery FMedSci FRS

Chinnery is Professor of Neurology and head of the ̽��ֱ��’s Department of Clinical Neurosciences, and a Fellow of Gonville & Caius College. He was appointed Executive Chair of the Medical Research Council last year, having previously been MRC Clinical Director since 2019.

His principal research is the role of mitochondria in human disease and developing new treatments for mitochondrial disorders. Chinnery is a Wellcome Principal Research Fellow with a lab based in the MRC Mitochondrial Biology Unit and jointly chairs the NIHR BioResource for Translational Research in Common and Rare Diseases. He is a Fellow of the Academy of Medical Sciences.

Professor Rebecca Fitzgerald OBE FMedSci FRS

Fitzgerald is Professor of Cancer Prevention in the Department of Oncology and the inaugural Director of the ̽��ֱ��’s new Early Cancer Institute, which launched in 2022. She is a Fellow of Trinity College.

Her pioneering work to devise a first-in-class, non-endoscopic capsule sponge test for identifying individuals at high risk for oesophageal cancer has won numerous prizes, including the Westminster Medal, and this test is now being rolled out in the NHS and beyond by her spin-out Cyted Ltd.

Professor David Hodell FRS

Hodell is the Woodwardian Professor of Geology and Director of the Godwin Laboratory for Palaeoclimate Research in the Department of Earth Sciences, and a Fellow of Clare College.

A marine geologist and paleoclimatologist, his research focuses on high-resolution paleoclimate records from marine and lake sediments, as well as mineral deposits, to better understand past climate dynamics. Hodell is a fellow of the American Geophysical Union and the American Association for the Advancement of Science. He has received the Milutin Milankovic Medal.

Professor Eric Lauga FRS

Lauga is Professor of Applied Mathematics in the Department of Applied Mathematics and Theoretical Physics, where his research is in fluid mechanics, biophysics and soft matter. Lauga is the author, or co-author, of over 180 publications and currently serves as Associate Editor for the journal Physical Review Fluids.

He is a recipient of three awards from the American Physical Society: the Andreas Acrivos Dissertation Award in Fluid Dynamics, the François Frenkiel Award for Fluid Mechanics and the Early Career Award for Soft Matter Research. He is a Fellow of the American Physical Society and of Trinity College.

Professor George Malliaras FRS

Malliaras is the Prince Philip Professor of Technology in the Department of Engineering, where he leads a group that works on the development and translation of implantable and wearable devices that interface with electrically active tissues, with applications in neurological disorders and brain cancer.

Research conducted by Malliaras has received awards from the European Academy of Sciences, the New York Academy of Sciences, and the US National Science Foundation among others. He is a Fellow of the Materials Research Society and of the Royal Society of Chemistry.

Professor Lloyd Peck FRI FRSB FRS

Peck is a marine biologist at the British Antarctic Survey and a fellow at Wolfson College, Cambridge.

He identified oxygen as a factor in polar gigantism and identified problems with protein synthesis as the cause of slow development and growth in polar marine species. He was awareded a Polar Medal in 2009, the PLYMSEF Silver medal in 2015 and an Erskine Fellowship at the ̽��ֱ�� of Canterbury, Christchurch in 2016-2017.

Professor Oscar Randal-Williams FRS

Randal-Williams is the Sadleirian Professor of Pure Mathematics in the Department of Pure Mathematics and Mathematical Statistics.

He has received the Whitehead Prize from the London Mathematical Society, a Philip Leverhulme Prize, the Oberwolfach Prize, the Dannie Heineman Prize of the Göttingen Academy of Sciences and Humanities, and was jointly awarded the Clay Research Award.

Randal-Williams is one of two managing editors of the Proceedings of the London Mathematical Society, and an editor of the Journal of Topology.

Professor Mihaela van der Schaar FRS

Van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine in the Departments of Applied Mathematics and Theoretical Physics, Engineering and Medicine.

She is the founder and director of the Cambridge Centre for AI in Medicine, and a Fellow at ̽��ֱ��Alan Turing Institute. Her work has received numerous awards, including the Oon Prize on Preventative Medicine, a National Science Foundation CAREER Award, and the IEEE Darlington Award.

Van der Schaar is credited as inventor on 35 US patents, and has made over 45 contributions to international standards for which she received three ISO Awards. In 2019, a Nesta report declared her the most-cited female AI researcher in the UK.

Ten outstanding Cambridge researchers have been elected as Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.

Royal Society

̽��ֱ��Royal Society in central London

Yes

Study unpicks why childhood maltreatment continues to impact on mental and physical health into adulthood

cjb250 — Thu, 11 Apr 2024 14:31:51 +0000

Individuals who experienced maltreatment in childhood – such as emotional, physical and sexual abuse, or emotional and physical neglect – are more likely to develop mental illness throughout their entire life, but it is not yet well understood why this risk persists many decades after maltreatment first took place.

In a study published in Proceedings of the National Academy of Sciences, scientists from the ̽��ֱ�� of Cambridge and Leiden ̽��ֱ�� found that adult brains continue to be affected by childhood maltreatment in adulthood because these experiences make individuals more likely to experience obesity, inflammation and traumatic events, all of which are risk factors for poor health and wellbeing, which in turn also affect brain structure and therefore brain health.

̽��ֱ��researchers examined MRI brain scans from approximately 21,000 adult participants aged 40 to 70 years in UK Biobank, as well as information on body mass index (an indicator of metabolic health), CRP (a blood marker of inflammation) and experiences of childhood maltreatment and adult trauma.

Sofia Orellana, a PhD student at the Department of Psychiatry and Darwin College, ̽��ֱ�� of Cambridge, said: “We’ve known for some time that people who experience abuse or neglect as a child can continue to experience mental health problems long into adulthood and that their experiences can also cause long term problems for the brain, the immune system and the metabolic system, which ultimately controls the health of your heart or your propensity to diabetes for instance. What hasn’t been clear is how all these effects interact or reinforce each other.”

Using a type of statistical modelling that allowed them to determine how these interactions work, the researchers confirmed that experiencing childhood maltreatment made individuals more likely to have an increased body mass index (or obesity) and experience greater rates of trauma in adulthood. Individuals with a history of maltreatment tended to show signs of dysfunction in their immune systems, and the researchers showed that this dysfunction is the product of obesity and repeated exposure to traumatic events.

Next, the researchers expanded their models to include MRI measures of the adult’s brains and were able to show that widespread increases and decreases in brain thickness and volume associated with greater body mass index, inflammation and trauma were attributable to childhood maltreatment having made these factors more likely in the first place. These changes in brain structure likely mean that some form of physical damage is occurring to brain cells, affecting how they work and function.

Although there is more to do to understand how these effects operate at a cellular level in the brain, the researchers believe that their findings advance our understanding of how adverse events in childhood can contribute to life-long increased risk of brain and mind health disorders.

Professor Ed Bullmore from the Department of Psychiatry, Cambridge, said: “Now that we have a better understanding of why childhood maltreatment has long term effects, we can potentially look for biomarkers – biological red flags – that indicate whether an individual is at increased risk of continuing problems. This could help us target early on those who most need help, and hopefully aid them in breaking this chain of ill health.”

Professor Bullmore is a Fellow at Lucy Cavendish College and and an Honorary Fellow at Downing College.

̽��ֱ��research was supported by MQ: Transforming Mental Health, the Royal Society, Medical Research Council, National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre, the NIHR Applied Research Collaboration East of England, Girton College and Darwin College.

Reference
Orellana, SC et al. Childhood maltreatment influences adult brain structure through its effects on immune, metabolic and psychosocial factors. PNAS; 9 Apr 2024 ; DOI: 10.1073/pnas.230470412

Childhood maltreatment can continue to have an impact long into adulthood because of how it effects an individual’s risk of poor physical health and traumatic experiences many years later, a new study has found.

We’ve known for some time that people who experience abuse or neglect as a child can continue to experience mental health problems long into adulthood

Sofia Orellana

mali desha (Unsplash)

Black and white image of boy curled up on the floor

Yes

Licence type:

Public Domain

Astronomers spot oldest ‘dead’ galaxy yet observed

sc604 — Wed, 06 Mar 2024 16:00:10 +0000

Using the James Webb Space Telescope, an international team of astronomers led by the ̽��ֱ�� of Cambridge have spotted a ‘dead’ galaxy when the universe was just 700 million years old, the oldest such galaxy ever observed.

This galaxy appears to have lived fast and died young: star formation happened quickly and stopped almost as quickly, which is unexpected for so early in the universe’s evolution. However, it is unclear whether this galaxy’s ‘quenched’ state is temporary or permanent, and what caused it to stop forming new stars.

̽��ֱ��results, reported in the journal Nature, could be important to help astronomers understand how and why galaxies stop forming new stars, and whether the factors affecting star formation have changed over billions of years.

“ ̽��ֱ��first few hundred million years of the universe was a very active phase, with lots of gas clouds collapsing to form new stars,” said Tobias Looser from the Kavli Institute for Cosmology, the paper’s first author. “Galaxies need a rich supply of gas to form new stars, and the early universe was like an all-you-can-eat buffet.”

“It’s only later in the universe that we start to see galaxies stop forming stars, whether that’s due to a black hole or something else,” said co-author Dr Francesco D’Eugenio, also from the Kavli Institute for Cosmology.

Astronomers believe that star formation can be slowed or stopped by different factors, all of which will starve a galaxy of the gas it needs to form new stars. Internal factors, such as a supermassive black hole or feedback from star formation, can push gas out of the galaxy, causing star formation to stop rapidly. Alternatively, gas can be consumed very quickly by star formation, without being promptly replenished by fresh gas from the surroundings of the galaxy, resulting in galaxy starvation.

“We’re not sure if any of those scenarios can explain what we’ve now seen with Webb,” said co-author Professor Roberto Maiolino. “Until now, to understand the early universe, we’ve used models based on the modern universe. But now that we can see so much further back in time, and observe that the star formation was quenched so rapidly in this galaxy, models based on the modern universe may need to be revisited.”

Using data from JADES (JWST Advanced Deep Extragalactic Survey), the astronomers determined that this galaxy experienced a short and intense period of star formation over a period between 30 and 90 million years. But between 10 and 20 million years before the point in time where it was observed with Webb, star formation suddenly stopped.

“Everything seems to happen faster and more dramatically in the early universe, and that might include galaxies moving from a star-forming phase to dormant or quenched,” said Looser.

Astronomers have previously observed dead galaxies in the early universe, but this galaxy is the oldest yet – just 700 million years after the big bang, more than 13 billion years ago. This observation is one of the deepest yet made with Webb.

In addition to the oldest, this galaxy is also relatively low mass – about the same as the Small Magellanic Cloud (SMC), a dwarf galaxy near the Milky Way, although the SMC is still forming new stars. Other quenched galaxies in the early universe have been far more massive, but Webb’s improved sensitivity allows smaller and fainter galaxies to be observed and analysed.

̽��ֱ��astronomers say that although it appears dead at the time of observation, it’s possible that in the roughly 13 billion years since, this galaxy may have come back to life and started forming new stars again.

“We’re looking for other galaxies like this one in the early universe, which will help us place some constraints on how and why galaxies stop forming new stars,” said D’Eugenio. “It could be the case that galaxies in the early universe ‘die’ and then burst back to life – we’ll need more observations to help us figure that out.”

̽��ֱ��research was supported in part by the European Research Council, the Royal Society, and the Science and Technology Facilities Council (STFC), part of UK Research and Innovation (UKRI).

Reference:
Tobias J Looser et al. ‘A recently quenched galaxy 700 million years after the Big Bang.’ Nature (2024). DOI: 10.1038/s41586-024-07227-0

A galaxy that suddenly stopped forming new stars more than 13 billion years ago has been observed by astronomers.

JADES Collaboration

False-colour JWST image of a small fraction of the GOODS South field, with JADES-GS-z7-01-QU highlighted

Yes

Licence type:

Public Domain