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French biotech raises €12m for osteoarthritis trial

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A French biotech has raised €12m to test whether GLP-1 drugs can modify osteoarthritis progression.

The funding will advance 4Moving Biotech’s lead programme, 4P004, toward a phase 2a proof-of-concept readout in knee osteoarthritis, a joint disease that causes pain and stiffness.

Despite affecting more than 600 million people worldwide, no therapy approved in Europe or the US has yet been shown to slow or modify disease progression in osteoarthritis.

4Moving Biotech is testing whether GLP-1 receptor agonists, drugs best known for diabetes and obesity, can succeed where others have fallen short.

“With this closing in place, we are well equipped to reach the next value-creation milestone by delivering robust phase 2a data and reaching a proof-of-concept inflection point,” said Luc Boblet, chief executive of 4Moving Biotech.

Rather than systemic administration, the company is testing whether GLP-1 biology can be made relevant to osteoarthritis by acting directly in the joint, targeting local inflammation and tissue responses that systemic approaches have repeatedly failed to address.

“By acting directly in the joint, 4P004 tackles pain, inflammation and tissue damage through GLP-1-mediated pathways,” said professor Francis Berenbaum, the company’s chief medical officer.

The study is designed to assess “dual efficacy: symptom relief and synovial health improvement via contrast-enhanced MRI,” which images the joint lining, with topline results expected in the second half of 2026.

The round was secured from private investors and family offices investing directly into 4Moving Biotech, a subsidiary of 4P-Pharma, and combines equity with loans, a structure the company says is aligned with long-term value creation.

It follows a €7.6m France 2030 i-Démo grant awarded last year and coincides with the transatlantic expansion of the INFLAM-MOTION phase 2a study to the US.

Founded in 2020 as a spin-off from 4P-Pharma, 4Moving Biotech has now raised around €30m in total, combining private capital with non-dilutive public funding.

The broader landscape for disease-modifying osteoarthritis drugs offers little room for overconfidence.

A 2025 review of phase two and three osteoarthritis trials found that while “many DMOADs have progressed to clinical trials, very few have made a significant impact and none have been approved for clinical use.

Reviewing eleven candidates tested between 2010 and 2024, including small molecules, biologics and cell or gene-based therapies, authors conclude that failure has been driven less by any single mechanism than by the difficulty of demonstrating truly disease-modifying benefit.

Several programmes reported statistically significant effects on either pain or joint structure, but rarely both.

The review notes that “the clinical relevance of a marginal increase in one without the other remains unclear,” warning that structural effects without symptom relief may be clinically meaningless, while pain relief without structural protection could even accelerate disease progression.

Over the past decade, major programmes at Pfizer, Eli Lilly, AbbVie, GlaxoSmithKline and Sanofi have been discontinued or deprioritised after failing to deliver regulator-acceptable evidence of disease modification.

In 2020, Unity Biotechnology reported phase two data showing that its senolytic candidate UBX0101, developed as a disease-modifying therapy for knee osteoarthritis, failed to deliver clinically meaningful improvements in pain or joint structure.

Unity subsequently discontinued its osteoarthritis programme, exited the field entirely and ceased operations in 2025.

The phase 2a readout will be the point at which the GLP-1 approach in osteoarthritis either earns its next chapter or joins a long list of programmes that fell short.

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Research

Mole rat gene extends mouse lifespan

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A mole rat gene inserted into mice extended lifespan and improved health, findings that may point to new ways of supporting healthier ageing.

The gene increased production of a large form of hyaluronan, a naturally occurring gel-like substance between cells that helps tissue repair and cell-to-cell communication.

Mice carrying the naked mole rat version of the gene showed an approximately 4.4 per cent increase in median lifespan, alongside multiple markers of healthier ageing.

Naked mole rats have become a focus of ageing research because they combine an exceptional lifespan with unusual resistance to many age-linked diseases, including cancer.

Researchers at the University of Rochester traced part of that resilience to hyaluronan.

The molecule’s effects depend on its size: large forms are often linked to anti-inflammatory and tissue-protective behaviour, while smaller fragments can act as danger signals that increase inflammation.

Vera Gorbunova, professor of biology and medicine at the University of Rochester in the US, said: “Our study provides a proof of principle that unique longevity mechanisms that evolved in long-lived mammalian species can be exported to improve the lifespans of other mammals.”

The engineered mice were better protected against both spontaneous tumours and chemically induced skin cancer.

They also showed reduced inflammation across tissues, a notable finding because persistent low-grade inflammation, sometimes called inflammaging, is widely seen as one of the central drivers of age-related decline.

The research also linked the large form of hyaluronan to age-related gut health. As animals age, the gut barrier can become leakier, allowing inflammatory triggers to pass into the bloodstream.

The engineered mice showed protection against this deterioration.

Follow-up work found abundant high-molecular-mass hyaluronan across multiple species of subterranean mammals, often absent in closely related above-ground species, suggesting it may be part of a broader evolutionary toolkit for surviving long lives under harsh conditions.

The team said gene transfer is not the end goal. Gorbunova said: “It took us 10 years from the discovery of HMW-HA in the naked mole rat to showing that HMW-HA improves health in mice.”

“Our next goal is to transfer this benefit to humans.”

Two practical routes are being pursued: increasing production of the large form of hyaluronan, or slowing its breakdown.

Andrei Seluanov, who co-leads the research, said: “We already have identified molecules that slow down hyaluronan degradation and are testing them in pre-clinical trials.”

One candidate identified through screening is delphinidin, a plant pigment found in various fruits and vegetables.

In tests, it was found to increase levels of the large form of hyaluronan in cells and mouse tissues, reduce migration and invasion in multiple cancer cell lines, and suppress melanoma metastasis in mice.

However, the researchers acknowledged the approach has limits. A later study found that mice expressing the naked mole rat gene showed improvements in several late-life health measures but did not show protection from age-related hearing loss, suggesting some organs may be less reachable by this pathway than others.

The Rochester team said turning these findings into human therapies will likely depend on precision: maintaining the right molecular form of hyaluronan, targeting the right balance of production versus breakdown, and monitoring carefully for trade-offs as different tissues respond in different ways.

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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

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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.”

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Vision implant firm raises US$230m

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A vision implant firm has raised US$230m as it seeks approval in Europe and the US for a device that restored sight in a small clinical trial.

The Alameda, California-based startup said the funding would support commercialisation of its Prima device.

It said an upcoming launch is planned in Europe and that it would become the first brain computer interface company to have a vision restoration device on the market.

A clinical trial in Europe found the small implant could work as artificial photoreceptors in the retina to restore functional central vision.

The implant is placed under the retina to replace the function of light-sensitive cells lost to disease. A special pair of glasses with an embedded camera and infrared projector sends light signals to the implant.

The study assessed the system in people with advanced dry age-related macular degeneration.

Of the 38 patients who received an implant, 32 were assessed at 12 months. Results showed the device led to a clinically meaningful improvement in visual acuity in 26 people.

The patients were able to read letters, numbers and words, according to the company.

Science Corporation said it has submitted a CE mark application to the European Union and applied to the US Food and Drug Administration for regulatory approval.

Darius Shahida, chief strategy officer, said: “Our imperative is to become the first BCI company to scale and achieve profitability.”

Founded in 2021, the company has now raised about US$490m in total. It said it is expanding its clinical trial programme to include other retinal diseases, such as Stargardt disease and retinitis pigmentosa.

The Series C round included existing investors Khosla Ventures, Lightspeed Venture Partners, Y Combinator, IQT and Quiet Capital.

Science Corporation said demand for the round exceeded its capital needs, with funds also earmarked for expanding research, manufacturing infrastructure and operations.

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