An older woman with memory problems

FTD can affect people earlier than other forms of dementia. (fizkes/Shutterstock)

In a nutshell

  • Researchers analyzed over 4,000 proteins in the cerebrospinal fluid of people with genetic forms of frontotemporal dementia (FTD), identifying distinct protein networks linked to disease severity and cognitive decline.
  • Some protein changes appeared even in individuals who carried FTD-causing mutations but hadn’t yet developed symptoms, suggesting these molecular shifts begin well before outward signs of dementia.
  • The study found consistent protein patterns across both genetic and sporadic forms of FTD, pointing to fundamental disease processes that could lead to new diagnostic tools or treatments.

SAN FRANCISCO — Frontotemporal dementia (FTD) typically strikes adults in their 40s to 60s, often when they’re at the peak of their careers and family responsibilities. Unlike Alzheimer’s disease, which primarily affects memory, FTD attacks the frontal and temporal lobes of the brain, dramatically altering personality, behavior, and language skills.

Despite being one of the most common causes of early-onset dementia, scientists still don’t fully understand what drives FTD progression or how to stop it. Now, a new study published in Nature Aging has uncovered new molecular signatures of the disease by analyzing over 4,000 proteins in the cerebrospinal fluid (CSF) of patients with genetic forms of FTD.

Mapping FTD Proteins

Researchers from the University of California, San Francisco and their collaborators collected cerebrospinal fluid, the clear liquid that bathes the brain and spinal cord, from 116 people carrying genetic mutations known to cause FTD and 39 family members without these mutations. Using advanced protein measurement technology, they identified over 4,000 proteins and mapped how these proteins interact with each other in different stages of the disease.

he researchers found 31 groups of proteins that work together in the brain. Four of these groups stood out for their strong links to dementia severity. One group of proteins, tied to how cells process genetic instructions, was more active in people with FTD. Meanwhile, three other groups—linked to brain cell communication, nerve growth, and the brain’s cleanup system—were less active.

Dementia definition in dictionary
FTD is a type of dementia that can impact middle-aged people. (© Feng Yu
– stock.adobe.com)

Some protein changes appeared even in people who carried the FTD-causing genetic mutations but hadn’t yet developed symptoms. This suggests that molecular changes begin years before noticeable cognitive decline, potentially opening a window for early intervention.

Different genetic forms of FTD showed distinctive patterns. Carriers of mutations in the GRN gene showed early elevations in RNA splicing proteins, which help process genetic information. Those with MAPT mutations (which cause accumulation of abnormal tau protein) showed unique increases in proteins involved in the extracellular matrix, the scaffolding between brain cells. These distinct patterns reflect the different ways these genetic mutations damage the brain.

To validate their findings, researchers tested whether similar protein patterns could be found in patients with sporadic forms of FTD (cases without a known genetic cause). They found similar protein patterns in both inherited and non-inherited cases of FTD, suggesting these changes are part of the core process that drives the disease.

The study pinpointed key proteins that seem to play a central role in these brain changes, and could one day help doctors track or treat the disease. One protein, called NPTX2, had the strongest link to worsening thinking and memory. Others were involved in processing genetic material or maintaining the brain’s structural support system.

Distinguishing FTD from Other Brain Diseases

Memory, dementia
Mapping the proteins associated with FTD could make early intervention treatment more accessible. (© pathdoc – stock.adobe.com)

Researchers also compared their FTD protein profiles with those previously found in Alzheimer’s and Parkinson’s diseases. While some overlap existed, particularly in proteins related to neurodegeneration, many FTD-associated changes were unique to this condition. For example, RNA processing proteins were distinctly elevated in FTD but not in other neurodegenerative diseases.

By mapping out the protein changes linked to FTD, scientists have taken an important step toward new treatments. Next steps could include creating tests that can measure these key proteins to see if they can help predict how the disease will progress or how well someone might respond to future therapies.

For families affected by FTD, effective treatments may still be years away, but each discovery like this brings us one step closer to therapies that could slow or halt this devastating condition.

Paper Summary

Methodology

The researchers collected cerebrospinal fluid (CSF) from 116 carriers of autosomal dominant FTD mutations (in C9orf72, GRN, or MAPT genes) and 39 non-carrier family members who served as controls. They used an aptamer-based proteomic platform called SomaScan to measure over 4,000 unique proteins in these samples. The researchers then employed weighted gene correlational network analysis (WGCNA) to identify clusters of co-expressed proteins (modules). These modules were analyzed for their relationship to disease severity measures, including clinical assessments, brain volume measurements, and longitudinal cognitive testing. The study also validated findings in two independent cohorts: one with sporadic progressive supranuclear palsy (a form of FTD) and another cohort with various FTD clinical syndromes and Alzheimer’s disease.

Results

The analysis identified 31 protein co-expression modules in the CSF. Four modules showed particularly strong relationships with FTD severity: increased abundance of RNA splicing proteins (particularly in C9orf72 and GRN mutation carriers) and extracellular matrix proteins (particularly in MAPT carriers), along with decreased abundance of synaptic/neuronal proteins and autophagy-related proteins. Some protein changes were detected in presymptomatic mutation carriers, suggesting they may be early markers of disease. When tested in independent cohorts, these protein patterns were consistently preserved across both genetic and sporadic forms of FTD. The protein NPTX2 showed the strongest association with cognitive decline across all proteins analyzed.

Limitations

While the study includes a relatively large sample for FTD research, it is still smaller than proteomic studies in more common neurodegenerative conditions. The SomaScan platform, while comprehensive, may have biases in the types of proteins it can detect compared to other proteomic approaches. The study focused primarily on genetic forms of FTD, and while validation in sporadic cases was performed, larger studies in sporadic FTD will be needed. Additionally, longitudinal proteomic data from the same individuals over time would provide more definitive evidence of how these protein changes evolve as the disease progresses.

Funding and Disclosures

The study was supported by multiple funding sources, including the ALLFTD Consortium (funded by the National Institute on Aging and the National Institute of Neurological Diseases and Stroke), the Alzheimer’s Association, New Vision Research, the American Academy of Neurology, the Association for Frontotemporal Degeneration, the Bluefield Project to Cure FTD, CurePSP, the Larry L. Hillblom Foundation, and the National Institutes of Health. Several authors disclosed relationships with pharmaceutical companies, including consulting for Alector, Lilly, Passage Bio, and Takeda.

Publication Information

The study titled “Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration” was published in Nature Aging on May 16, 2025. The lead author is Rowan Saloner from the University of California, San Francisco, and the research was conducted as part of the ALLFTD Consortium involving multiple research centers across the United States and Canada.

About StudyFinds Analysis

Called "brilliant," "fantastic," and "spot on" by scientists and researchers, our acclaimed StudyFinds Analysis articles are created using an exclusive AI-based model with complete human oversight by the StudyFinds Editorial Team. For these articles, we use an unparalleled LLM process across multiple systems to analyze entire journal papers, extract data, and create accurate, accessible content. Our writing and editing team proofreads and polishes each and every article before publishing. With recent studies showing that artificial intelligence can interpret scientific research as well as (or even better) than field experts and specialists, StudyFinds was among the earliest to adopt and test this technology before approving its widespread use on our site. We stand by our practice and continuously update our processes to ensure the very highest level of accuracy. Read our AI Policy (link below) for more information.

Our Editorial Process

StudyFinds publishes digestible, agenda-free, transparent research summaries that are intended to inform the reader as well as stir civil, educated debate. We do not agree nor disagree with any of the studies we post, rather, we encourage our readers to debate the veracity of the findings themselves. All articles published on StudyFinds are vetted by our editors prior to publication and include links back to the source or corresponding journal article, if possible.

Our Editorial Team

Steve Fink

Editor-in-Chief

John Anderer

Associate Editor

Leave a Reply