Mitochondrial Circular RNAs: New Players in Human Aging

During mammalian aging, there are changes in abundance of noncoding RNAs including microRNAs, long noncoding RNAs, and circular RNAs.”

The aging of an organism is reflected not only in the function of its organs but also in the molecular signatures written into its cells. For years, scientists have cataloged the changes in protein-coding genes and various non-coding RNAs that occur as we grow older. However, one class of molecules—circular RNAs originating from the genome of our cellular power plants, the mitochondria—has remained largely unexplored.

A new research paper, titled “Aging-associated mitochondrial circular RNAs” published in Volume 18 of Aging-US by a multi-institutional team of researchers, provides the first detailed profile of these molecules and reveals a surprising link to cellular energy metabolism. 

The team’s investigation demonstrates that a specific mitochondrial circular RNA, circMT-RNR2, is depleted in older individuals and plays a direct role in regulating the TCA cycle, the engine of cellular energy production.

The Discovery: A Mitochondrial Circular RNA Lost with Age

The researchers began by analyzing circular RNA junctions in peripheral blood mononuclear cells (PBMCs) from 11 young adults (average age 30) and 11 older adults (average age 64). Using RNA sequencing data, they identified hundreds of circular RNA species.

The most striking finding was the source of these molecules. In young individuals, the vast majority of circular RNA junctions originated from the mitochondrial chromosome (chrM). Specifically, the most abundant circular RNAs were derived from a mitochondrial ribosomal RNA gene called MT-RNR2. In older individuals, however, these same circular RNA junctions were sharply depleted—a loss of nearly 90%.

This age-associated decline was not just a statistical observation. When the team examined human fibroblasts (skin cells) as they aged in culture, they saw the same pattern: levels of circMT-RNR2 dropped progressively as the cells approached senescence, the point at which they permanently stop dividing.

The Regulator: An RNA-Binding Protein Called GRSF1

If circMT-RNR2 disappears with age, what controls its production? The team turned their attention to GRSF1, a protein known to localize to mitochondrial RNA granules—specialized compartments where mitochondrial RNAs are processed.

Using a split-GFP system, they confirmed that GRSF1 resides within mitochondria. They then performed a PAR-CLIP analysis, a technique that identifies precisely which RNAs a protein binds to. The results showed that GRSF1 binds directly to several mitochondrial transcripts, including both the linear and circular forms of MT-RNR2. A specific RNA motif—UGxxGGUU—was identified as the recognition sequence for GRSF1 on its target RNAs.

When the researchers depleted GRSF1 from human fibroblasts, circMT-RNR2 levels plummeted. This established GRSF1 as a critical factor for maintaining the abundance of this mitochondrial circular RNA.

The Function: Scaffolding the TCA Cycle

The discovery that a circular RNA is lost with age raised an obvious question: what does it actually do? Given that MT-RNR2 originates from the mitochondria, the team hypothesized it might be involved in mitochondrial metabolism.

They performed RNA immunoprecipitation assays to see if circMT-RNR2 interacts with metabolic enzymes. The results revealed that both linear and circular MT-RNR2 bind to two key enzymes of the TCA cycle: SUCLG1 (part of succinyl-CoA synthetase) and SDHA (a component of succinate dehydrogenase complex II).

This binding appears to have functional consequences. When the team depleted MT-RNR2 from cells, levels of the TCA cycle metabolites fumarate and alpha-ketoglutarate declined. Conversely, reintroducing circMT-RNR2 restored fumarate levels. The circular RNA seemed to be acting as a scaffold, helping to assemble or stabilize the enzyme complexes that drive the TCA cycle.

The Consequence: Suppressing Cellular Senescence

If circMT-RNR2 supports energy production, its loss should accelerate aging at the cellular level. To test this, the team measured markers of cellular senescence—p16 and p21—after manipulating GRSF1 and circMT-RNR2.

Depleting GRSF1, which reduced circMT-RNR2, caused a sharp increase in p16 and p21 mRNA levels. However, when they reintroduced circMT-RNR2 into these GRSF1-depleted cells, the senescence markers returned to normal. The circular RNA alone was sufficient to reverse the senescence phenotype.

Further analysis showed that GRSF1 depletion broadly suppressed mitochondrial transcripts, and reintroducing circMT-RNR2 partially rescued this defect. The model that emerges is one where GRSF1 promotes the production of circMT-RNR2, which then scaffolds TCA cycle enzymes to maintain efficient energy production and keep cells in a proliferating, non-senescent state.

Implications for Future Research

This study opens several new avenues for investigation. First, it establishes that mitochondria produce circular RNAs with distinct functions, expanding our understanding of mitochondrial biology. Second, it identifies GRSF1 as a key regulator of these molecules, linking RNA-binding proteins to mitochondrial metabolism.

The finding that a single circular RNA can influence the entire TCA cycle suggests that non-coding RNAs may play broader roles in metabolism than previously appreciated. The authors propose that circMT-RNR2 may act similarly to other scaffold non-coding RNAs, like NEAT1, which assemble metabolic enzymes to accelerate biochemical reactions.

The mechanism by which MT-RNR2 produces a circular RNA remains intriguing. Since the gene lacks introns, conventional back-splicing cannot explain its circularization. The authors speculate that trans-splicing—a process more common in plants and trypanosomes—may be at work, potentially mediated by GRSF1 within mitochondrial RNA granules.

Future Perspectives and Conclusion

This research does not claim to have fully mapped the landscape of mitochondrial circular RNAs or their functions. Rather, it offers a compelling proof-of-concept that these molecules exist, change with age, and have measurable biological effects.

By integrating transcriptomic profiling, biochemical analysis, and functional studies, the team demonstrates that circMT-RNR2 is depleted during human aging and senescence, that it is regulated by GRSF1, and that it supports the TCA cycle by scaffolding metabolic enzymes.

The perspective that emerges is one where the mitochondria are not just passive energy generators but active participants in the aging process through their non-coding RNA output. Continued research will be needed to determine whether other mitochondrial circular RNAs have similar functions, how precisely they are generated, and whether they might serve as therapeutic targets to preserve metabolic health in older age.

Click here to read the full research paper published in Aging-US.

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Aging-US is indexed by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed CentralWeb of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Click here to subscribe to Aging-US publication updates.

For media inquiries, please contact [email protected].

A Common Aging Pattern: Changes in RNA Splicing and Processing Across Human Tissues

“Although transcriptomic changes are known to occur with age, the extent to which these are conserved across tissues is unclear.”

As we age, every tissue in the body undergoes gradual molecular changes. A long-standing question in aging research is whether these changes follow common patterns across tissues or whether each tissue ages on its own. While DNA-based “epigenetic clocks” can estimate age accurately across different tissues, identifying consistent patterns in gene expression has been much more challenging.

One reason for this difficulty is methodology. Most studies focus on whether genes increase or decrease their expression levels with age. However, genes do not function in isolation. They operate within complex networks, coordinating their activity with many others. Changes in these relationships may be important aspects of the aging process. 

To understand this, researchers from the University of São Paulo performed a study titled “A combination of differential expression and network connectivity analyses identifies a common set of RNA splicing and processing genes altered with age across human tissues.”

The Study: Gene Expression and Network Analysis Integration to Study Aging Across Human Tissues

Featured on the cover of Aging-US (Volume 17, issue 12), the study analyzed gene expression data from nearly 1,000 donors from the Genotype-Tissue Expression (GTEx) project. They focused on 8 tissues (blood, brain, adipose tissue, muscle, blood vessel, heart, skin, and esophagus) from individuals aged 20 to 70. 

Rather than relying only on traditional differential expression analysis, the team combined this approach with gene network analysis. This allowed them to check not only how strongly genes were expressed, but also how their patterns of coordination with other genes changed across aging. By integrating these two perspectives, the researchers aimed to capture age-related transcriptomic changes that might otherwise go undetected.

Results: Aging Alters Gene Networks and RNA Processing Across Human Tissues

The results revealed a clear and consistent pattern. Many genes showed little or no change in their average expression levels with age, yet their connectivity within gene networks changed substantially. In other words, aging often altered how genes interacted with one another rather than simply how active they were.

When gene expression and network connectivity were analyzed together, a core group of genes emerged as altered with age across nearly all studied tissues. These shared genes were not randomly distributed across biological functions. Instead, they were strongly enriched in processes related to RNA splicing and RNA processing, the steps that convert raw RNA transcripts into mature messages used to produce proteins.

These genes were also highly interconnected in protein–protein interaction networks, indicating that they function together as part of coordinated molecular systems. Many are components of known cellular complexes involved in RNA handling, suggesting that aging affects not just individual genes but entire functional groups.

Breakthrough: Network Analysis Reveals Hidden Conserved Aging Signatures Across Tissues

This study demonstrates that network-based analyses can uncover conserved aging-related changes that are largely invisible when analyzing gene expression alone. This approach helps explain why previous studies often failed to identify shared aging signatures across tissues.

Impact: Network Reorganization in RNA Processing Associated to Key Aging Mechanisms

Errors in RNA splicing can lead to the production of abnormal or malfunctioning proteins, which tend to accumulate as cells age. The study shows that tissues appear to respond to this by reorganizing networks involved in RNA processing, protein quality control, and degradation pathways such as autophagy. These coordinated changes align with well-known features of aging, including declining protein homeostasis.

Importantly, this network-based perspective helps reconcile conflicting findings in earlier research. Different tissues may show distinct gene-level changes, yet still be responding to the same underlying molecular stresses through different regulatory strategies.

Future Perspectives and Conclusion

This research highlights RNA splicing and processing as central and conserved features of transcriptomic aging across human tissues. It also underscores the importance of studying gene networks, rather than focusing exclusively on individual genes, when investigating complex biological processes such as aging.

While further work is needed to determine whether these changes actively drive aging or reflect adaptive responses to accumulating cellular damage, the findings offer a more integrated perspective on how aging develops at the molecular level. Ultimately, this knowledge may help guide strategies aimed at supporting healthier aging across multiple tissues rather than targeting isolated organs or pathways.

Click here to read the full research paper published in Aging-US.

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Aging-US is indexed by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed CentralWeb of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Click here to subscribe to Aging-US publication updates.

For media inquiries, please contact [email protected].

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