A comprehensive biological study of Maria Branyas, the Catalan woman who lived beyond 117 years, has revealed a complex picture: alongside clear markers of advanced ageing, her biology showed several protective features that may have supported healthy survival to exceptional age. The work, the most detailed multi‑omic analysis performed on a supercentenarian so far, was published in Cell Reports Medicine and led by Dr Manel Esteller and Eloy Santos.
Not simply 'slow' ageing — a mixed biological profile
The research team applied a range of minimally invasive techniques to obtain genetic, epigenetic, proteomic, metabolomic and microbiome data from Branyas. Rather than showing a uniform deceleration of ageing, the results indicate a duality: several indicators reflected advanced biological age, while other measures suggested enhanced protection against age‑related damage.
“a fascinating duality: the simultaneous presence of signals of extreme aging and of healthy longevity,”
That phrase, used by the study's senior author, summarises the central finding. For readers unfamiliar with the terms: telomeres are protective caps on chromosome ends that shorten with cell division; epigenetic marks can reflect cumulative environmental and biological impacts; and the microbiome refers to the community of microbes living in the gut, which can influence inflammation and metabolism.
Key findings fell into two broad groups:
- Signs consistent with advanced ageing: very short telomeres, an immune profile with pro‑inflammatory characteristics and an aged population of B lymphocytes.
- Features associated with protection and resilience: genetic variants linked to neuroprotection and cardioprotection, low systemic inflammation by some measures, and a gut microbiome dominated by beneficial bifidobacteria.
Why the mixed picture matters for ageing research
The study challenges a simple model in which exceptional longevity necessarily reflects uniformly slow ageing. Instead, the findings support a more nuanced view: long life may emerge from a combination of accumulated damage in some systems together with protective traits that preserve function in others. That has two immediate implications.
First, biomarkers of ageing are unlikely to give a single, definitive answer about an individual's biological age. Multi‑layered approaches — combining genome, epigenome, proteome and microbiome data — can reveal compensatory mechanisms that single measures miss. Second, interventions aimed at extending healthy lifespan may need to target both damage reduction (for example, limiting chronic inflammation) and the enhancement of protective mechanisms (for example, supporting beneficial gut bacteria or bolstering neuroprotective pathways).
Data at a glance
| Domain | Observation in Branyas |
|---|---|
| Telomeres | Very short (consistent with chronological age) |
| Immune system | Pro‑inflammatory features; aged B lymphocyte population |
| Genetics | Variants associated with neuro‑ and cardioprotection |
| Inflammation | Some measures showed low inflammatory levels |
| Gut microbiome | Dominated by beneficial Bifidobacterium species |
The authors emphasise that this is a single‑person study: while the methods are unusually broad and detailed, conclusions about human ageing generally will require similar analyses on more individuals who have reached extreme ages. The research team coordinated an international, multidisciplinary effort to assemble the data and interpret it across multiple biological layers.
For policymakers and researchers in South Africa, the study is a reminder that ageing research benefits from integrated datasets and international collaboration. It also highlights potential avenues for exploration that are locally relevant: for example, examining how diet, infectious‑disease history and social environment shape the gut microbiome and immune ageing across populations.
In short, extreme longevity may not be a matter of simply slowing every aspect of ageing. Instead, some systems may accumulate substantial wear while others retain or develop protective characteristics. Future work that applies the same multi‑omic framework to larger groups of very old people will be needed to determine which features are common to long life and which are unique to individual trajectories.
