Monday, October 24, 2022

Study links omega-3s to improved brain structure, cognition at midlife

Holy mackerel! Could eating salmon, cod, tuna, herring or sardines keep our brains healthy and our thinking agile in middle age? New research makes this connection.

Peer-Reviewed Publication

UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO


SAN ANTONIO (Oct. 5, 2022) — Eating cold-water fish and other sources of omega-3 fatty acids may preserve brain health and enhance cognition in middle age, new evidence indicates.

Having at least some omega-3s in red blood cells was associated with better brain structure and cognitive function among healthy study volunteers in their 40s and 50s, according to research published online Oct. 5 in Neurology®, the medical journal of the American Academy of Neurology. Faculty of The University of Texas Health Science Center at San Antonio (UT Health San Antonio) and other investigators of the Framingham Heart Study conducted the analysis.

“Studies have looked at this association in older populations. The new contribution here is that, even at younger ages, if you have a diet that includes some omega-3 fatty acids, you are already protecting your brain for most of the indicators of brain aging that we see at middle age,” said Claudia Satizabal, PhD, assistant professor of population health sciences with the Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases at UT Health San Antonio. Satizabal is the lead author of the study.

Volunteers’ average age was 46. The team looked at the relation of red blood cell omega-3 fatty acid concentrations with MRI and cognitive markers of brain aging. Researchers also studied the effect of omega-3 red blood cell concentrations in volunteers who carried APOE4, a genetic variation linked to higher risk of Alzheimer’s disease.

The study of 2,183 dementia- and stroke-free participants found that:

  • Higher omega-3 index was associated with larger hippocampal volumes. The hippocampus, a structure in the brain, plays a major role in learning and memory.
  • Consuming more omega-3s was associated with better abstract reasoning, or the ability to understand complex concepts using logical thinking.
  • APOE4 carriers with a higher omega-3 index had less small-vessel disease. The APOE4 gene is associated with cardiovascular disease and vascular dementia.

Researchers used a technique called gas chromatography to measure docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) concentrations from red blood cells. The omega-3 index was calculated as DHA plus EPA.

“Omega-3 fatty acids such as EPA and DHA are key micronutrients that enhance and protect the brain,” said study coauthor Debora Melo van Lent, PhD, postdoctoral research fellow at the Biggs Institute. “Our study is one of the first to observe this effect in a younger population. More studies in this age group are needed.”

The team divided participants into those who had very little omega-3 red blood cell concentration and those who had at least a little and more. “We saw the worst outcomes in the people who had the lowest consumption of omega-3s,” Satizabal said. “So, that is something interesting. Although the more omega-3 the more benefits for the brain, you just need to eat some to see benefits.”

Researchers don’t know how DHA and EPA protect the brain. One theory is that, because those fatty acids are needed in the membrane of neurons, when they are replaced with other types of fatty acids, that’s when neurons (nerve cells) become unstable. Another explanation may have to deal with the anti-inflammatory properties of DHA and EPA. “It’s complex. We don’t understand everything yet, but we show that, somehow, if you increase your consumption of omega-3s even by a little bit, you are protecting your brain,” Satizabal said.

It's encouraging that DHA and EPA also protected APOE4 carriers’ brain health. “It’s genetics, so you can’t change it,” Melo van Lent said, referring to the vulnerability of this risk group. “So, if there is a modifiable risk factor that can outweigh genetic predisposition, that’s a big gain.”


Association of Red Blood Cell Omega-3 Fatty Acids with MRI Markers and Cognitive Function in Midlife – The Framingham Heart Study

Claudia L. Satizabal, PhD; Jayandra J. Himali, PhD; Alexa S. Beiser, PhD; Vasan S. Ramachandran, MD; Debora Melo van Lent, PhD; Dibya Himali, MS; Hugo J. Aparicio, MD, MPH; Pauline Maillard, PhD; Charles DeCarli, MD; William S. Harris, PhD; and Sudha Seshadri, MD.

 First published: Oct. 5, 2022, Neurology


The University of Texas Health Science Center at San Antonio (UT Health San Antonio), a primary driver for San Antonio’s $42.4 billion health care and biosciences sector, is the largest research university in South Texas with an annual research portfolio of $350 million. Driving substantial economic impact with its five professional schools, a diverse workforce of more than 7,000, an annual operating budget of more than $1 billion and a clinical practice that provides more than 2 million patient visits each year, UT Health San Antonio plans to add more than 1,500 higher-wage jobs over the next five years to serve San Antonio, Bexar County and South Texas. To learn about the many ways “We make lives better®,” visit http://uthscsa.edu.

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The Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases is dedicated to providing comprehensive dementia care while advancing treatment through clinical trials and research. The Biggs Institute is a National Institute on Aging (NIA)-designated Alzheimer’s Disease Research Center (ADRC). In addition to patient care and research, the Biggs Institute partners with the School of Nursing at UT Health San Antonio to offer the Caring for the Caregiver program.

Being absent while awake: how mind blanking helps us understand ongoing thinking


Study conducted by ULiège GIGA CRC In vivo Imanging researchers shows that "Mind blanking" (MB) is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation

Peer-Reviewed Publication

UNIVERSITY OF LIEGE


Researchers from the GIGA CRC In vivo Imaging at the University of Liège (Belgium), the EPF Lausanne and the University of Geneva publish a study that shows that the phenomenology of "mind blanking" challenges the belief that the human mind is always thinking. The study is published in the journal Proceedings of the National Academy of Sciences.

We generally consider that our mind is full of thoughts when we are awake. Like a river stream always running, similarly we entertain our own dynamic mental stream: a thought can lead to another, relevant to what we do or not, ebbing between our inner life and the outer environment. How can the brain sustain such a thought-related mode constantly, though? A study just published in the Proceedings of the National Academy of Sciences indicates that it actually cannot, and that our brains also need to “go offline” for some moments, which we can experience as blanks in the mind.

Researchers from the University of Liège and EPF Lausanne & University of Geneva re-analyzed a previously collected dataset where healthy participants were reporting their mental state as this was before hearing an auditory probe (beep) while resting in the MRI scanner. The choices were among perceptions of the environment, stimulus-dependent thoughts, stimulus-independent thoughts, and mental absences. Functional images were being collected during this experience-sampling method. The researchers found that mind blanking episodes were reported quite rarely compared to the other states, and that they were re-appearing also scarcely across time. Using machine learning, the researchers further found that our brains during mind-blanking episodes organized in a way where all brain regions were communicating with each other at the same time. This ultra-connected brain pattern was further characterized by high amplitude of the fMRI global signal, which is a proxy of low cortical arousal. In other words, when reporting mind blanking our brains seem to be in a mode similar to that of deep sleep, only that we are awake.

“Mind blanking is a relatively new mental state within the study of spontaneous cognition. It opens exciting avenues about the underlying biological mechanisms that happen during waking life. It might be that the boundaries of sleep and wakefulness might not be that discrete as they appear to be after all”, says the principal investigator Dr. Demertzi Athena, FNRS researcher at GIGA ULiège. “The continuously and rapidly changing brain activity requires robust analysis methods to confirm the specific signature of mind blanking”, continues Dr. Van De Ville Dimitri.

The researchers claim that the rigid neurofunctional profile of mind blanking could account for the inability to report mental content due to the brain’s inability to differentiate signals in an informative way.  While waiting for the underlying mechanisms to be illuminated, this work suggests that instantaneous non-reportable mental events can happen during wakefulness, setting mind blanks as a prominent mental state during ongoing experience.

Scientific reference

Mortaheb, S., Van Calster, L., Raimondo, F., Klados, M. A., Boulakis, P. A., Georgoula, K., Majerus, S., Van De Ville, D., & Demertzi, A. (2022). Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation. Proceedings of the National Academy of Sciences119(41), e2200511119.

https://doi.org/10.1073/pnas.2200511119
https://www.pnas.org/doi/10.1073/pnas.2200511119

Cat got your tongue: Cats distinguish between speech directed at them and humans



Peer-Reviewed Publication

SPRINGER

A small study has found that cats may change their behaviour when they hear their owner’s voice talking in a tone directed to them, the cats, but not when hearing the voice of a stranger or their owner’s voice directed at another person. The study of 16 cats is published in the journal Animal Cognition and adds to evidence that cats may form strong bonds with their owner.

Human tone is known to vary depending on who the speech is directed to, such as when talking to infants and dogs. The tone of human speech has been shown in previous studies to change when directed at cats, but less is known about how cats react to this.

Charlotte de Mouzon and colleagues from Université Paris Nanterre (Nanterre, France) investigated how 16 cats reacted to pre-recorded voices from both their owner and that of a stranger when saying phrases in cat-directed and human adult-directed tones.

The authors investigated three conditions, with the first condition changing the voice of the speaker from a stranger’s voice to the cat’s owner. The second and third conditions changed the tone used (cat-directed or adult-directed) for the cat’s owner or a stranger’s voice, respectively. The authors recorded and rated the behaviour intensity of cats reacting to the audio, checking for behaviours such as resting, ear moving, pupil dilation, and tail moving, amongst others. 

In the first condition, 10 out of the 16 cats showed a decrease in behaviour intensity as they heard three audio clips of a stranger’s voice calling them by their name. However, when hearing their owner’s voice their behaviour intensity significantly increased again. The cats displayed behaviours such as turning their ears to the speakers, increased movement around the room, and pupil dilation when hearing their owners’ voice. The authors suggest that the sudden rebound in behaviour indicates that cats could discriminate their owner’s voice from that of a stranger.

In the second condition, 10 cats (8 of which were the same from the first condition) decreased their behaviour as they heard audio from their owner in an adult-directed tone but significantly increased their behaviour when hearing the cat-directed tone from their owner. The change in behaviour intensity was not found in the third condition when a stranger was speaking in an adult-directed and cat-directed tone.

The authors observed that the cats can distinguish when their owner is talking in a cat-directed tone compared to an adult-directed tone, but did not react any differently when a stranger changes tone.  

The small sample size used in this study may not represent all cat behaviour but the authors propose that future research could investigate if their findings can be replicated in more socialised cats that are used to interacting with strangers.

The authors suggest that their findings bring a new dimension to cat-human relationships, with cat communication potentially relying on experience of the speaker’s voice. They conclude that one-to-one relationships are important for cats and humans to form strong bonds.

###

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Springer Nature
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Notes to editor:

Discrimination of cat‑directed speech from human‑directed speech in a population of indoor companion cats (Felis catus)

Animal Cognition 2022

DOI: 10.1007/s10071-022-01674-w

For an embargoed copy of the research article, related images and video please contact Tara Eadie at Springer Nature.

1. After the embargo ends, the full paper will be available at: https://link.springer.com/article/10.1007/s10071-022-01674-w

2. Please name the journal in any story you write. If you are writing for the web, please link to the article.

Animal Cognition is an interdisciplinary journal publishing current research from various backgrounds and disciplines (ethology, behavioral ecology, animal behaviour and learning, cognitive sciences, comparative psychology and evolutionary psychology) on all aspects of animal (and human) cognition in an evolutionary framework.

Machine learning enables an 'almost perfect' diagnosis of an elusive global killer

patient
Credit: Pixabay/CC0 Public Domain

Sepsis, the overreaction of the immune system in response to an infection, causes an estimated 20% of deaths globally and as many as 20 to 50% of U.S. hospital deaths each year. Despite its prevalence and severity, however, the condition is difficult to diagnose and treat effectively.

The disease can cause decreased blood flow to vital organs, inflammation throughout the body, and abnormal blood clotting. Therefore, if  isn't recognized and treated quickly, it can lead to shock, organ failure, and death. But it can be difficult to identify which pathogen is causing sepsis, or whether an infection is in the  or elsewhere in the body. And in many patients with symptoms that resemble sepsis, it can be challenging to determine whether they truly have an infection at all.

Now, researchers at the Chan Zuckerberg Biohub (CZ Biohub), the Chan Zuckerberg Initiative (CZI), and UC San Francisco (UCSF) have developed a new diagnostic method that applies machine learning to advanced genomics data from both microbe and host—to identify and predict sepsis cases. As reported on October 20, 2022 in Nature Microbiology, the approach is surprisingly accurate, and has the potential to far exceed current diagnostic capabilities.

"Sepsis is one of the top 10 public health issues facing humanity," said senior author Chaz Langelier, M.D., Ph.D., an associate professor of medicine in UCSF's Division of Infectious Diseases and a CZ Biohub Investigator. "One of the key challenges with sepsis is diagnosis. Existing  are not able to capture the dual-sided nature of the disease—the infection itself and the host's immune response to the infection."

Current sepsis diagnostics focus on detecting bacteria by growing them in culture, a process that is "essential for appropriate antibiotic therapy, which is critical for sepsis survival," according to the researchers behind the new method. But culturing these pathogens is time-consuming and doesn't always correctly identify the bacterium that is causing the infection. Similarly for viruses, PCR tests can detect that viruses are infecting a patient but don't always identify the particular virus that's causing sepsis.

"This results in clinicians being unable to identify the cause of sepsis in an estimated 30 to 50% of cases," Langelier said. "This also leads to a mismatch in terms of the antibiotic treatment and the pathogen causing the problem."

In the absence of a definitive diagnosis, doctors often prescribe a cocktail of antibiotics in an effort to stop the infection, but the overuse of antibiotics has led to increased antibiotic resistance worldwide. "As physicians, we never want to miss a case of infection," said Carolyn Calfee, M.D., M.A.S., a professor of medicine and anesthesia at UCSF and co-senior author of the new study. "But if we had a test that could help us accurately determine who doesn't have an infection, then that could help us limit  in those cases, which would be really good for all of us."

Eliminating ambiguity

The researchers analyzed whole blood and  from more than 350 critically ill patients who had been admitted to UCSF Medical Center or the Zuckerberg San Francisco General Hospital between 2010 and 2018.

But rather than relying on cultures to identify pathogens in these samples, a team led by CZ Biohub scientists Norma Neff, Ph.D., and Angela Pisco, Ph.D., instead used metagenomic next-generation sequencing (mNGS). This method identifies all the nucleic acids or genetic data present in a sample, then compares those data to reference genomes to identify the microbial organisms present. This technique allows scientists to identify genetic material from entirely different kingdoms of organisms—whether bacteria, viruses, or fungi—that are present in the same sample.

However, detecting and identifying the presence of a pathogen alone isn't enough for accurate sepsis diagnosis, so the Biohub researchers also performed transcriptional profiling—which quantifies gene expression—to capture the patient's response to infection.

Next they applied machine learning to the mNGS and transcriptional data to distinguish between sepsis and other critical illnesses and thus confirm the diagnosis. Katrina Kalantar, Ph.D., a lead computational biologist at CZI and co-first author of the study, created an integrated host-microbe model trained on data from patients in whom either sepsis or non-infectious systemic inflammatory illnesses had been established, which enabled sepsis diagnosis with very high accuracy.

"We developed the model by looking at a bunch of metagenomics data alongside results from traditional clinical tests," Kalantar explained. To start, the researchers identified changes in gene expression between patients with confirmed sepsis and non-infectious systemic inflammatory conditions that appear clinically similar, then used machine learning to identify the genes that could best predict those changes.

The researchers found that when traditional bacterial culture identified a sepsis-causing pathogen, there was usually an overabundance of genetic material from that pathogen in the corresponding plasma sample analyzed by mNGS. With that in mind, Kalantar programmed the model to identify organisms present in disproportionately high abundance compared to other microbes in the sample, and to then compare those to a reference index of well-known sepsis-causing microbes.

"In addition to that, we also noted any viruses that were detected, even if they were at lower levels, because those really shouldn't be there," Kalantar explained. "With this relatively straightforward set of rules, we were able to do pretty well."

'Almost perfect' performance

The researchers found that the mNGS method and their corresponding model worked better than expected: They were able to identify 99% of confirmed bacterial sepsis cases, 92% of confirmed viral sepsis cases, and were able to predict sepsis in 74% of clinically suspected cases that hadn't been definitively diagnosed.

"We were expecting good performance, or even great performance, but this was almost perfect," said Lucile Neyton, Ph.D., a postdoctoral researcher in the Calfee lab and co-first author of the study. "By using this approach, we get a pretty good idea of what is causing the disease, and we know with relatively high confidence if a patient has sepsis or not."

The team was also excited to discover that they could use this combined host-response and microbe detection method to diagnose sepsis using plasma samples, which are routinely collected from most patients as part of standard clinical care. "The fact that you can actually identify sepsis patients from this widely available, easy-to-collect sample type has big implications in terms of practical utility," Langelier said.

The idea for the work stemmed from previous research by Langelier, Kalantar, Calfee, UCSF researcher and CZ Biohub President Joe DeRisi, Ph.D., and their colleagues, in which they used mNGS to effectively diagnose lower respiratory tract infections in critically ill patients. Because the method worked so well, "we wanted to see if the same type of approach could work in the context of sepsis," said Kalantar.

Broader implications

The team hopes to build upon this successful  by developing a model that can also predict antibiotic resistance from pathogens detected with this method. "We've had some success doing that for respiratory infections, but no one has come up with a good approach for sepsis," Langelier said.

Furthermore, the researchers hope to eventually be able to predict outcomes of patients with sepsis, "such as mortality or length of stay in the hospital, which would provide key information that would allow clinicians to better care for their patients and match resources to the patients who need them the most," Langelier said.

"There's a lot of potential for novel sequencing approaches such as this to help us more precisely identify the causes of a patient's critical illness," added Calfee. "If we can do that, it's the first step towards precision medicine and understanding what's going on at an individual patient level."Consumer health: What do you know about sepsis?

More information: Katrina L. Kalantar et al, Integrated host-microbe plasma metagenomics for sepsis diagnosis in a prospective cohort of critically ill adults, Nature Microbiology (2022). DOI: 10.1038/s41564-022-01237-2
Journal information: Nature Microbiology 
Provided by Chan Zuckerberg Biohub
MY FATHER DIED OF SEPSIS FROM AN INFECTION CAUSED AT THE HOSPITAL USING A BAD SALINE SOLUTION FOR HIS HIP JOINT

Underground microbes may have swarmed ancient Mars

Underground microbes may have swarmed ancient Mars
This image captured by the United Arab Emirates' "Amal" ("Hope") probe shows the planet 
Mars on Feb. 10, 2021. Ancient Mars may have had an environment capable of harboring 
an underground world teeming with microscopic organisms. That's according to French 
scientists who published their findings Monday, Oct. 10, 2022.
 Credit: Mohammed bin Rashid Space Center/UAE Space Agency, via AP, File

Ancient Mars may have had an environment capable of harboring an underground world teeming with microscopic organisms, French scientists reported Monday.

But if they existed, these simple life forms would have altered the atmosphere so profoundly that they triggered a Martian Ice Age and snuffed themselves out, the researchers concluded.

The findings provide a bleak view of the ways of the cosmos. Life—even simple life like microbes—"might actually commonly cause its own demise," said the study's lead author, Boris Sauterey, now a post-doctoral researcher at Sorbonne University.

The results "are a bit gloomy, but I think they are also very stimulating.," he said in an email. "They challenge us to rethink the way a biosphere and its planet interact."

In a study in the journal Nature Astronomy, Sauterey and his team said they used climate and terrain models to evaluate the habitability of the Martian crust some 4 billion years ago when the red planet was thought to be flush with water and much more hospitable than today.

They surmised that hydrogen-gobbling, methane-producing microbes might have flourished just beneath the surface back then, with several inches (a few tens of centimeters) of dirt, more than enough to protect them against harsh incoming radiation. Anywhere free of ice on Mars could have been swarming with these organisms, according to Sauterey, just as they did on early Earth.

Early Mars' presumably moist, warm climate, however, would have been jeopardized by so much hydrogen sucked out of the thin, carbon dioxide-rich atmosphere, Sauterey said. As temperatures plunged by nearly minus 400 degrees Fahrenheit (minus 200 degrees Celsius), any organisms at or near the surface likely would have buried deeper in an attempt to survive.

Underground microbes may have swarmed ancient Mars
This image made available by NASA shows the Jezero Crater area on the planet Mars, captured by the Mars Reconnaissance Orbiter. Ancient Mars may have had an environment capable of harboring an underground world teeming with microscopic organisms. That's according to French scientists who published their findings, Monday, Oct. 10, 2022. Credit: NASA/JPL-Caltech/USGS via AP, File

By contrast, microbes on Earth may have helped maintain temperate conditions, given the nitrogen-dominated atmosphere, the researchers said.

The SETI Institute's Kaveh Pahlevan said future models of Mars' climate need to consider the French research.

Pahlevan led a separate recent study suggesting Mars was born wet with warm oceans lasting millions of years. The atmosphere would have been dense and mostly hydrogen back then, serving as a heat-trapping greenhouse gas that eventually was transported to higher altitudes and lost to space, his team concluded.

The French study investigated the climate effects of possible microbes when Mars' atmosphere was dominated by carbon dioxide and so is not applicable to the earlier times, Pahlevan said.

"What their study makes clear, however, is that if (this) life were present on Mars" during this earlier period, "they would have had a major influence on the prevailing climate," he added in an email.

The best places to look for traces of this past life? The French researchers suggest the unexplored Hellas Planita, or plain, and Jezero Crater on the northwestern edge of Isidis Planita, where NASA's Perseverance rover currently is collecting rocks for return to Earth in a decade.

Next on Sauterey's to-do list: looking into the possibility that microbial life could still exist deep within Mars.

"Could Mars still be inhabited today by micro-organisms descending from this primitive biosphere?" he said. "If so, where?"New clues about early atmosphere on Mars suggest a wet planet capable of supporting life

More information: Boris Sauterey, Early Mars habitability and global cooling by H2-based methanogens, Nature Astronomy (2022). DOI: 10.1038/s41550-022-01786-wwww.nature.com/articles/s41550-022-01786-w
Journal information: Nature Astronomy 
© 2022 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.

Something Buried For Centuries Has Just Been Uncovered - Intro To 2001 Movie Ghost Of Mars

 


GHOSTS OF MARS (The Horrific Martian Spirits & Ending) EXPLAINED

 

Research finds unprecedented levels of insects damaging plants

Research finds unprecedented levels of insects damaging plants
Lauren Azevedo-Schmidt searches for fossilized plants in Wyoming’s Hanna Basin in a 
deposit that is about 60 million years old. She and other researchers compared fossil 
leaves with modern samples and found higher rates of insect damage today. 
Credit: Lauren Azevedo-Schmidt

Insects today are causing unprecedented levels of damage to plants, even as insect numbers decline, according to new research led by University of Wyoming scientists.

The first-of-its-kind study compares insect herbivore damage of modern-era plants with that of fossilized leaves from as far back as the Late Cretaceous period, nearly 67 million years ago. The findings appear in the journal Proceedings of the National Academy of Sciences.

"Our work bridges the gap between those who use fossils to study plant-insect interactions over deep time and those who study such interactions in a modern context with fresh leaf material," says the lead researcher, UW Ph.D. graduate Lauren Azevedo-Schmidt, now a postdoctoral research associate at the University of Maine. "The difference in insect damage between the modern era and the fossilized record is striking."

Azevedo-Schmidt conducted the research along with UW Department of Botany and Department of Geology and Geophysics Professor Ellen Currano, and Assistant Professor Emily Meineke of the University of California-Davis.

The study examined fossilized leaves with insect feeding damage from the Late Cretaceous through the Pleistocene era, a little over 2 million years ago, and compared them with leaves collected by Azevedo-Schmidt from three modern forests. The detailed research looked at different types of damage caused by , finding marked increases in all recent damage compared to the .

Research finds unprecedented levels of insects damaging plants
This fossil leaf from Wyoming’s Hanna Basin, about 54 million years old, shows damage
 by insects. Credit: Lauren Azevedo-Schmidt

"Our results demonstrate that plants in the modern era are experiencing unprecedented levels of insect damage, despite widespread insect declines," wrote the scientists, who suggest that the disparity can be explained by .

More research is necessary to determine the precise causes of increased insect damage to , but the scientists say a , urbanization and introduction of invasive species likely have had a major impact.

"We hypothesize that humans have influenced (insect) damage frequencies and diversities within modern forests, with the most human impact occurring after the Industrial Revolution," the researchers wrote. "Consistent with this hypothesis,  from the early 2000s were 23 percent more likely to have insect damage than specimens collected in the early 1900s, a pattern that has been linked to climate warming."

But climate change doesn't fully explain the increase in insect damage, they say.

"This research suggests that the strength of human influence on plant-insect interactions is not controlled by climate change alone, but rather, the way in which humans interact with the terrestrial landscape," the researchers concluded.

Beetle in the coconut: Fossil find sheds new light on Neotropical rainforests

More information: Azevedo-Schmidt, Lauren, Insect herbivory within modern forests is greater than fossil localities, Proceedings of the National Academy of Sciences (2022). DOI: 10.1073/pnas.2202852119doi.org/10.1073/pnas.2202852119
Provided by University of Wyoming 

DNA found in sediment reveals that ancient artificial islands may have been high-status homes

Dna found in sediment near ancient artificial islands
Crannog in Lough na Cranagh, near Fair Head, Northern Ireland. Credit: Antony Brown

Researchers have recovered DNA from the sediments surrounding ancient artificial islands, known as crannogs, in Britain and Ireland. These results, along with environmental and biochemical data in these sediments, show the structures were once used by elites.

Crannogs were built and occupied from the Neolithic, 4000–2200 BC, through to the 16th century AD. Hundreds have been found, mostly in Scotland, Ireland, and Northern Ireland.

However, the aquatic location of crannogs makes them difficult for archaeologists to excavate. So Professor Antony Brown, from UiT Arctic University of Norway, and an interdisciplinary team from across the UK set out to take samples from  instead.

Previous research had recovered , like pollen, from  obtained near crannogs. Material gets washed off the island and deposited layer by layer in the lake, so cores of these sediments reveal crannog conditions over time.

Now, Professor Brown and the team have also been able to recover DNA from these cores, known as "sedaDNA." This was combined with analysis of other material in the sediment to build an integrated picture of the crannogs. Their work is published in the journal Antiquity.

For this research, the team analyzed sediment cores from around crannogs in White Loch of Myrton, Scotland, and Lough Yoan, Ireland. Radiocarbon dating of the cores revealed the crannog in White Loch was built in the Iron Age, around 400 BC, whilst Lough Yoan's dates to the medieval period. They found both were abandoned and re-occupied multiple times.

Dna found in sediment near ancient artificial islands
Replica crannog in Waterford, Ireland. Credit: Antony Brown

The integrated analysis showed that the crannogs were important places, likely high-status homes, stocked with resources. The team found pollen from bracken, for bedding, as well as signs crafting took place on the islands.

Additionally, sedaDNA from cows, sheep, and goats indicated that animals were kept on the crannogs. At one of the Lough Yoan crannogs,  suggest that were butchered on-site in high quantities, likely for feasts. This supports previous research suggesting some crannogs were compounds used by the elite, perhaps for ceremonial occasions.

The team also found that the cost of supplying the crannogs with these resources meant they were linked to dramatic changes in the local area. Changes in pollen and plant sedaDNA indicated crannog construction was associated with deforestation, likely to provide materials and clear farmland. Meanwhile, waste from the inhabitants polluted the lakes, leading to  on lake ecosystems as early as the Iron Age.

As such, this research sheds new light on life on crannogs and also shows how this integrated method of studying  cores provides insight into otherwise hard-to-study waterside sites. This approach, incorporating sedaDNA, provides researchers with a powerful new tool.

The team are already expanding to study other crannogs. These unique structures are under threat from erosion and other .

New evidence suggests Scottish crannogs thousands of years older than thought
More information: Antony G. Brown et al, New integrated molecular approaches for investigating lake settlements in north-western Europe, Antiquity (2022). DOI: 10.15184/aqy.2022.70
Journal information: Antiquity 
Provided by Antiquity