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Novel methods for diagnosis and treatment of periodontal disease
Örebro University, School of Medical Sciences.ORCID iD: 0000-0002-6554-3554
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Periodontitis is an inflammatory condition affecting tooth-supportive structures, the periodontium. Gingival tissues respond to biofilm formation by initiating an inflammatory process. If left untreated, inflammation progresses to a non-reversible condition in susceptible individuals, causing degradation of the underlying bone structures, where teeth become mobile and tooth-loss eventually occurs. Periodontitis is very common, affecting about half of the adult population. The disease is not only a concern for oral health but is linked to many systemic conditions, such as cardiovascular disease, diabetes, rheumatoid arthritis, and Alzheimer’s.

The studies included in this thesis aim to develop new strategies for the diagnosis and treatment of periodontal disease. Current diagnostic practices rely on probing and x-ray examination. There is a need for more sophisticated diagnostic tools. We have developed different sensing strategies for detection of a key-pathogen in periodontitis, Porphyromonas gingivalis, and its secreted enzymes, gingipains. The proteolytic activity of this pathogen, which drives the destructive effects of the disease, can be detected at low levels by utilizing gold nanoparticles and nanoplasmonic sensing in different ways.

Treatment of periodontitis is basically limited to the removal of soft and hard biofilms. This requires significant resources, from patients as well as clinicians, and maintenance phase is often life-long. We have identified and tested the antibacterial effect of an antimicrobial peptide derived from Lactobacillus plantarum. This bacteriocin, plantaricin NC8αβ, has been shown to effectively inhibit P. gingivalis. The bacteriocin has been further optimized into a short peptide sequence, C5, which can rupture outer membrane vesicles from P. gingivalis. Taken together, these results suggest new sensing strategies for novel diagnostic tools for periodontal disease and define a promising antibacterial agent for periodontal treatment in the future.

Place, publisher, year, edition, pages
Örebro: Örebro University , 2024. , p. 58
Series
Örebro Studies in Medicine, ISSN 1652-4063 ; 289
Keywords [en]
Periodontitis, inflammation, Porphyromonas gingivalis, gingipains, biosensing, gold nanoparticles, antimicrobial treatment, NC8
National Category
Other Basic Medicine
Identifiers
URN: urn:nbn:se:oru:diva-111438ISBN: 9789175295510 (print)OAI: oai:DiVA.org:oru-111438DiVA, id: diva2:1835878
Public defence
2024-04-12, Örebro universitet, Campus USÖ, hörsal X3, Södra Grev Rosengatan 32, Örebro, 09:00 (Swedish)
Opponent
Supervisors
Available from: 2024-02-07 Created: 2024-02-07 Last updated: 2024-03-25Bibliographically approved
List of papers
1. Antibacterial effects of lactobacillus and bacteriocin NC8 αβ on the periodontal pathogen Porphyromonas gingivalis
Open this publication in new window or tab >>Antibacterial effects of lactobacillus and bacteriocin NC8 αβ on the periodontal pathogen Porphyromonas gingivalis
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(English)Manuscript (preprint) (Other academic)
National Category
Microbiology in the medical area
Research subject
Biomedicine
Identifiers
urn:nbn:se:oru:diva-46730 (URN)
Available from: 2015-11-24 Created: 2015-11-24 Last updated: 2024-03-21Bibliographically approved
2. Protein-Functionalized Gold Nanoparticles as Refractometric Nanoplasmonic Sensors for the Detection of Proteolytic Activity of Porphyromonas gingivalis
Open this publication in new window or tab >>Protein-Functionalized Gold Nanoparticles as Refractometric Nanoplasmonic Sensors for the Detection of Proteolytic Activity of Porphyromonas gingivalis
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2020 (English)In: ACS Applied Nano Materials, E-ISSN 2574-0970, Vol. 3, no 10, p. 9822-9830Article in journal (Refereed) Published
Abstract [en]

Periodontitis is an inflammatory oral disease that affects a large part of the adult population, causing significant costs and suffering. The key pathogen, Porphyromonas gingivalis, secretes gingipains, which are highly destructive proteases and the most important virulence factors in the pathogenesis of the disease. Currently, periodontitis is diagnosed mainly by mechanical manual probing and radiography, often when the disease has already progressed significantly. The possibilities of detecting gingipain activity in gingival fluid could enable early-stage diagnosis and facilitate treatment. Here, we describe a sensitive nanoparticle-based nanoplasmonic biosensor for the detection of the proteolytic activity of gingipains. Gold nanoparticles (AuNPs) were self-assembled as a submonolayer in multiwell plates and further modified with casein or IgG. The proteolytic degradation of the protein coating was tracked by monitoring the shift in the localized surface plasmon resonance (LSPR) peak position. The sensor performance was investigated using model systems with trypsin and purified gingipains (subtypes Kgp and RgpB) and further validated using supernatants from cultures of P. gingivalis. Proteolytic degradation by proteases in buffer results in a concentration- and time-dependent blueshift of the LSPR band of about 1-2 nm when using casein as a substrate. In bacterial supernatants, the degradation of the protein coating resulted in unspecific binding of proteins present in the complex sample matrix to the nanoparticles, which instead triggered a redshift of about 2 nm of the LSPR band. A significant LSPR shift was seen only in samples with gingipain activity. The sensor showed a limit of detection < 0.1 mu g/mL (4.3 nM), which is well below gingipain concentrations detected in severe chronic periodontitis cases (similar to 50 mu g/mL). This work shows the possibility of developing cost-effective nanoparticle-based biosensors for rapid detection of protease activity for chair-side periodontal diagnostics.

Place, publisher, year, edition, pages
American Chemical Society, 2020
Keywords
gold nanoparticles, localized surface plasmon resonance, gingipains, proteolytic activity, P. gingivalis, periodontitis
National Category
Microbiology in the medical area
Identifiers
urn:nbn:se:oru:diva-87946 (URN)10.1021/acsanm.0c01899 (DOI)000583331600088 ()2-s2.0-85096515317 (Scopus ID)
Funder
Swedish Research Council, 2016-04874 2017-04475Swedish Foundation for Strategic Research, FFL15-0026Knut and Alice Wallenberg Foundation, KAW 2016.0231
Available from: 2020-12-09 Created: 2020-12-09 Last updated: 2024-03-21Bibliographically approved
3. Detection of gingipain activity using solid state nanopore sensors
Open this publication in new window or tab >>Detection of gingipain activity using solid state nanopore sensors
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2022 (English)In: Sensors and actuators. B, Chemical, ISSN 0925-4005, E-ISSN 1873-3077, Vol. 368, article id 132209Article in journal (Refereed) Published
Abstract [en]

Accurate, robust, and rapid diagnostics is the basis for all well-functioning healthcare. There is a large need in point-of-care biosensors to facilitate diagnosis and reduce the need for cumbersome laboratory equipment. Proteases are key virulence factors in periodontitis. Periodontal disease is very common and characterized by inflammation and infection in the tooth-supporting structures and is linked to many systemic diseases such as cardiovascular disease, diabetes, and Alzheimer's disease. Proteases present in periodontal disease, gingipains, are highly responsible for the disease onset and progression and are therefore a promising biomarker. Here we show a novel nanopore-based biosensor strategy for protease activity monitoring. Solid-state nanopores were modified with a proteolytic substrate, restricting the ionic current through the apertures of the nanopores. Protease can digest the proteolytic substrate thus enlarge the aperture and the ionic current. Trypsin was used as an initial model protease to investigate the performance of the sensor. We show that the solid-state nanoporebiosensor can detect trypsin with a limit of detection (LOD) of 0.005 ng/mL (0.2 pM). The detection system developed for the model enzyme was then applied to the detection of gingipains. The LOD for detection of gingipains was 1 ng/mL (0.02 nM), with a 27% recovery of the signal at 0.1 mu g/mL, indicating that the sensitivity and dynamic range are relevant for the clinical diagnosis of periodontitis. The generic detection of protease activity and high sensitivity make this a promising sensor technology for both diagnosis of periodontal disease and monitoring of other disease-related proteases.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Biosensor, Solid-state nanopore, Pore blocking, Pore opening, Trypsin, Enzyme detection, Gingipains
National Category
Physical Chemistry
Identifiers
urn:nbn:se:oru:diva-100420 (URN)10.1016/j.snb.2022.132209 (DOI)000829536400001 ()2-s2.0-85132315321 (Scopus ID)
Funder
Swedish Foundation for Strategic Research, FFL15-0174 FFL15-0026Swedish Research Council, 2019-04690 2017-04475 2016-04874Swedish Cancer Society, CAN 2017/430
Note

Funding agency:

Wallenberg Academy Fellow Program KAW 2020.0190 KAW 2016.0231 

Available from: 2022-08-04 Created: 2022-08-04 Last updated: 2024-03-21Bibliographically approved
4. Paper-based Sensing of Proteolytic Activity for Chair-Side Periodontal Assessment
Open this publication in new window or tab >>Paper-based Sensing of Proteolytic Activity for Chair-Side Periodontal Assessment
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(English)Manuscript (preprint) (Other academic)
National Category
Other Health Sciences
Identifiers
urn:nbn:se:oru:diva-112496 (URN)
Available from: 2024-03-21 Created: 2024-03-21 Last updated: 2024-03-21Bibliographically approved
5. Characterization of outer membrane vesicles and gingipains from Porphyromonas gingivalis and their influence on human gingival fibroblasts
Open this publication in new window or tab >>Characterization of outer membrane vesicles and gingipains from Porphyromonas gingivalis and their influence on human gingival fibroblasts
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(English)Manuscript (preprint) (Other academic)
National Category
Other Health Sciences
Identifiers
urn:nbn:se:oru:diva-112498 (URN)
Available from: 2024-03-21 Created: 2024-03-21 Last updated: 2024-03-25Bibliographically approved

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