Millions suffer from gum disease, but how does it really begin? University of Sheffield researchers have created a detailed cellular map of periodontitis, opening the door to more targeted and transformative treatments.

The research was led by Vitor C. M. Neves, Senior Clinical Lecturer at the University of Sheffield and Honorary Consultant in Periodontology, Translational and Regenerative Dentistry at Sheffield Teaching Hospitals NHS Foundation Trust, in collaboration with Wental Zhu from the Karolinska Institute and Cheng Zhang from King’s College London. The study was supported by funding from the National Institute for Health and Care Excellence, the Academy of Medical Sciences, and the National Academic Infrastructure for Supercomputing in Sweden.
To understand how diseases develop, researchers look for the biological changes that occur as tissue moves from health to disease. This new research focuses on the periodontium, the tissues that support the teeth, including the gums and ligaments. When periodontitis develops, these tissues become inflamed and scar-like, leading to bone loss and, ultimately, tooth loss. Despite the global impact of the disease, little is known about how this transformation happens at a cellular level.
In this study, the research team used an advanced computer-based approach known as single-cell RNA sequencing (scRNA-seq). This powerful technique allows researchers to map every individual cell in a tissue and identify which genes are switched on inside each one. Unlike traditional methods that average signals across many cells, scRNA-seq reveals how different cells behave during health and disease, providing a detailed picture of how gum tissues change as periodontitis becomes established.
By applying this approach to both healthy and diseased human periodontal tissues, the researchers generated a high-resolution cellular map of gum disease. The findings show that the gingiva, or gums, contribute the largest number of cells in an intermediate state between healthy tissue and diseased granulation tissue. This suggests that targeting specific gum cell populations could help slow or prevent disease progression.
The team also identified a previously unknown vascular stem cell population marked by the gene NOTCH3, found exclusively in diseased tissue. These cells appear to be attempting to regenerate bone in areas where it has been lost. However, the study suggests that fibroblasts, cells normally involved in tissue repair, may disrupt this regenerative process, redirecting healing responses towards the formation of diseased tissue rather than bone.
Vitor said: “Periodontitis affects millions of people worldwide, yet we still don’t fully understand how healthy gum tissue turns into disease. Our findings highlight just how complex diseased gum tissue really is. Some cells appear to promote regeneration, while others may actively impair it. Understanding this at the single-cell level gives us new opportunities to design therapies that support healing rather than simply managing symptoms.”
The data shows that this tissue has a complex microenvironment, containing both cell populations that may hinder healing and others that could support regeneration. Current periodontal therapies do not specifically target these cells or the biological pathways identified in the study, highlighting an opportunity to develop new treatments that better modulate the body’s response to disease.
While the dataset was generated primarily to support further experimental research, its use of human tissue means it could ultimately transform how periodontitis is treated. In the long term, therapies based on targeting specific cell populations or pathways, such as the Notch signalling pathway, could significantly advance periodontal disease management.
Source – University of Sheffield
Millions suffer from gum disease, but how does it really begin? University of Sheffield researchers have created a detailed cellular map of periodontitis, opening the door to more targeted and transformative treatments.
The research was led by Vitor C. M. Neves, Senior Clinical Lecturer at the University of Sheffield and Honorary Consultant in Periodontology, Translational and Regenerative Dentistry at Sheffield Teaching Hospitals NHS Foundation Trust, in collaboration with Wental Zhu from the Karolinska Institute and Cheng Zhang from King’s College London. The study was supported by funding from the National Institute for Health and Care Excellence, the Academy of Medical Sciences, and the National Academic Infrastructure for Supercomputing in Sweden.
To understand how diseases develop, researchers look for the biological changes that occur as tissue moves from health to disease. This new research focuses on the periodontium, the tissues that support the teeth, including the gums and ligaments. When periodontitis develops, these tissues become inflamed and scar-like, leading to bone loss and, ultimately, tooth loss. Despite the global impact of the disease, little is known about how this transformation happens at a cellular level.
In this study, the research team used an advanced computer-based approach known as single-cell RNA sequencing (scRNA-seq). This powerful technique allows researchers to map every individual cell in a tissue and identify which genes are switched on inside each one. Unlike traditional methods that average signals across many cells, scRNA-seq reveals how different cells behave during health and disease, providing a detailed picture of how gum tissues change as periodontitis becomes established.
By applying this approach to both healthy and diseased human periodontal tissues, the researchers generated a high-resolution cellular map of gum disease. The findings show that the gingiva, or gums, contribute the largest number of cells in an intermediate state between healthy tissue and diseased granulation tissue. This suggests that targeting specific gum cell populations could help slow or prevent disease progression.
The team also identified a previously unknown vascular stem cell population marked by the gene NOTCH3, found exclusively in diseased tissue. These cells appear to be attempting to regenerate bone in areas where it has been lost. However, the study suggests that fibroblasts, cells normally involved in tissue repair, may disrupt this regenerative process, redirecting healing responses towards the formation of diseased tissue rather than bone.
The data shows that this tissue has a complex microenvironment, containing both cell populations that may hinder healing and others that could support regeneration. Current periodontal therapies do not specifically target these cells or the biological pathways identified in the study, highlighting an opportunity to develop new treatments that better modulate the body’s response to disease.
While the dataset was generated primarily to support further experimental research, its use of human tissue means it could ultimately transform how periodontitis is treated. In the long term, therapies based on targeting specific cell populations or pathways, such as the Notch signalling pathway, could significantly advance periodontal disease management.
Source – University of Sheffield
Zhu W, Fung K, Dhami P, Sharpe P, Krivanek J, Nibali L, Zhang C, Neves VCM. (2026) Characterising the periodontal granulation tissue using scRNAseq. Journal of Clinical Periodontology 53(2): 308–320. [article]
Related Posts
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
Single-cell RNA sequencing provides a closer look at the Aedes aegypti midgut
Millions suffer from gum disease, but how does it really begin? University of Sheffield researchers have created a detailed cellular map of periodontitis, opening the door to more targeted and transformative treatments.
The research was led by Vitor C. M. Neves, Senior Clinical Lecturer at the University of Sheffield and Honorary Consultant in Periodontology, Translational and Regenerative Dentistry at Sheffield Teaching Hospitals NHS Foundation Trust, in collaboration with Wental Zhu from the Karolinska Institute and Cheng Zhang from King’s College London. The study was supported by funding from the National Institute for Health and Care Excellence, the Academy of Medical Sciences, and the National Academic Infrastructure for Supercomputing in Sweden.
To understand how diseases develop, researchers look for the biological changes that occur as tissue moves from health to disease. This new research focuses on the periodontium, the tissues that support the teeth, including the gums and ligaments. When periodontitis develops, these tissues become inflamed and scar-like, leading to bone loss and, ultimately, tooth loss. Despite the global impact of the disease, little is known about how this transformation happens at a cellular level.
In this study, the research team used an advanced computer-based approach known as single-cell RNA sequencing (scRNA-seq). This powerful technique allows researchers to map every individual cell in a tissue and identify which genes are switched on inside each one. Unlike traditional methods that average signals across many cells, scRNA-seq reveals how different cells behave during health and disease, providing a detailed picture of how gum tissues change as periodontitis becomes established.
By applying this approach to both healthy and diseased human periodontal tissues, the researchers generated a high-resolution cellular map of gum disease. The findings show that the gingiva, or gums, contribute the largest number of cells in an intermediate state between healthy tissue and diseased granulation tissue. This suggests that targeting specific gum cell populations could help slow or prevent disease progression.
The team also identified a previously unknown vascular stem cell population marked by the gene NOTCH3, found exclusively in diseased tissue. These cells appear to be attempting to regenerate bone in areas where it has been lost. However, the study suggests that fibroblasts, cells normally involved in tissue repair, may disrupt this regenerative process, redirecting healing responses towards the formation of diseased tissue rather than bone.
The data shows that this tissue has a complex microenvironment, containing both cell populations that may hinder healing and others that could support regeneration. Current periodontal therapies do not specifically target these cells or the biological pathways identified in the study, highlighting an opportunity to develop new treatments that better modulate the body’s response to disease.
While the dataset was generated primarily to support further experimental research, its use of human tissue means it could ultimately transform how periodontitis is treated. In the long term, therapies based on targeting specific cell populations or pathways, such as the Notch signalling pathway, could significantly advance periodontal disease management.
Source – University of Sheffield
Zhu W, Fung K, Dhami P, Sharpe P, Krivanek J, Nibali L, Zhang C, Neves VCM. (2026) Characterising the periodontal granulation tissue using scRNAseq. Journal of Clinical Periodontology 53(2): 308–320. [article]
Related Posts
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
Single-cell RNA sequencing provides a closer look at the Aedes aegypti midgut
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services