News
Research reveals potential new link to signs of skin ageing

New research has identified the skin microbiome as a potential new link to signs of skin ageing.
To the best of the researchers’ knowledge, the study is the first to isolate microbes associated specifically with signs of skin ageing and skin health, rather than chronological age.
The results come from a collaborative study from researchers at the Center for Microbiome Innovation (CMI) at the University of California San Diego (UC San Diego) and L’Oréal Research and Innovation.
Corresponding author, Se Jin Song, the CMI Director of Research, said: “Previous studies have shown that the types of microbes on our skin change fairly predictably with age.
“Our skin also changes physiologically with age; for example, we gain wrinkles and our skin gets drier.
“But there is variation in what this looks like in people—you’ve probably noticed that there are some people who have younger or older looking skin than many others their age.
“Using advanced statistical methods, we were able to tease apart the microbes that are associated with these types of ageing signs for skin, like crow’s feet wrinkles, from those that are associated with simply age as a chronological number.”
The researchers comprehensively examined data collected during 13 studies that L’Oréal had carried out in the past, consisting of 16S rRNA amplicon sequence data and corresponding skin clinical data for over 650 female participants, aged 18 – 70.
While each of the studies included in the analysis had focused on one particular area of interest—for example, crow’s feet wrinkles or moisture loss—the multi-study analysis collated the data to search for trends related to specific microbes while accounting for other variables, such as age.
The analysis revealed two notable trends.
Firstly, the team found a positive association between skin microbiome diversity and lateral cantonal lines (crow’s feet wrinkles), which are generally viewed as one of the key signs of skin ageing.
Secondly, they observed a negative correlation between microbiome diversity and transepidermal water loss, which is the amount of moisture that evaporates through the skin.
In further exploring the trends, the research team identified several potential biomarkers that warrant investigation as microorganisms of interest.
It would be premature to infer causation or actionable insights, but the findings have provided researchers with directions on the next steps to hone in on better understanding microbial associations with skin ageing.
Qian Zheng, Head of Advanced Research, North America at L’Oréal, is co-authors of the study.
The researcher said: “This research is ground-breaking in identifying new microbial biomarkers linked to visible signs of ageing like crow’s feet wrinkles.
“It marks a significant step towards developing technologies for healthier, more youthful skin.
“We look forward to sharing new results as they become available, furthering the scientific community’s understanding and contributing to advancing new skincare solutions.”
Future paths of investigation the researchers have suggested include metabolomics work to discover chemical biomarkers related to skin ageing, as well as meta-transcriptomics research into potential targets for genetic engineering.
Research into other layers of the skin is also being considered, as many studies focus on the outer skin due to the ease of sample collection.
Rob Knight, the CMI Faculty Director and Professor of Pediatrics, Bioengineering, Computer Science & Engineering and Data Science at UC San Diego, co-authored the study.
He said: “While the study’s findings represent an advance of our knowledge of the skin microbiome, we view them as just the beginning of a new phase of research.
“By confirming a link between the microbiome and skin health, we’ve laid the groundwork for further studies that discover specific microbiome biomarkers related to skin ageing, and, one day, show how to modify them to generate novel and highly targeted recommendations for skin health.”
News
Mole rat gene extends mouse lifespan
News
AI can predict Alzheimer’s with almost 93% accuracy, researchers say

Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.
The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.
The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.
Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.
“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”
The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.
The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.
The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.
Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.
The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.
This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.
However, the research also found that the way brain regions shrink differs by sex.
In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex
The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.
These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.
More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.
More research is being done to reveal other impacting factors.
Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”
News
Vision implant firm raises US$230m
News2 weeks agoInterview: The US company appealing Europe’s rejection of daily Alzheimer’s pill
News4 weeks agoLongevity startup Biopeak raises US$2.7m
News4 weeks agoBryan Johnson launches US$1m longevity programme
News4 weeks agoAgetech investment & innovation round-up
News4 weeks agoInterview: Dr Matthew Bennett on building resilience and a pain-free healthspan
News2 weeks agoCentenarians’ blood reveals longevity clues
News4 weeks agoRe:Cognition and Cera expand Alzheimer’s clinical trials access
News3 weeks agoAir pollution may directly contribute to dementia


















