Biomarkers For Periodontitis Research Articles

Levels of matrix metalloproteinase-1 (MMP-1), MMP-2, MMP-3, osteopontin, pentraxin-3, and thymic stromal lymphopoietin in crevicular fluid samples from peri-implantitis, periodontitis, and healthy sites.

Periodontitis and peri-implantitis are chronic inflammatory diseases characterized by the destruction of supporting tissues. Despite some similarities, it is essential to understand the differences in how these diseases elicit unique host responses within the oral tissues, including the production of selected matrix metalloproteinases (MMPs) and inflammatory mediators involved in tissue remodelling. The aim of this study was to evaluate the levels of proteolytic enzymes MMP-1, MMP-2, MMP-3, as well as the inflammatory mediators osteopontin (OPN), pentraxin-3 (PTX3), and thymic stromal lymphopoietin (TSLP) in crevicular fluid samples collected from healthy, periodontitis-affected, and peri-implantitis sites. Gingival crevicular fluid (GCF) and peri-implant crevicular fluid (PICF) samples were collected from healthy and diseased teeth and implant sites of 163 patients. The MMP-1, MMP-2, MMP-3, OPN, PTX3, and TSLP levels were determined using commercially available immunoassays. A linear mixed model procedure was adopted for multilevel analyses, using biomarker levels as the outcome variable to compare two types of sites. The diagnostic accuracy of the biomarkers was evaluated by Youden's index to estimate the sensitivity, specificity and the area under curve (AUC). The levels of MMP-1, MMP-2, MMP-3, OPN, and TSLP were higher at sites with periodontitis and peri-implantitis compared to the levels at sites with healthy teeth and healthy implants. No significant differences were observed in the levels of the measured markers between the sites diagnosed with periodontitis and those diagnosed with peri-implantitis. The highest diagnostic potential at implant sites was found for MMP-2 (AUC = 0.74) and TSLP (AUC = 0.72). The highest AUC (0.82) at tooth sites was found for OPN. The findings indicate that the proteolytic enzyme MMP-2 and the cytokine TSLP might be potential biomarkers for both periodontitis and peri-implantitis, whereas the proinflammatory cytokine OPN may serve as a biomarker for periodontitis. Further studies are required to confirm the utility of these biomarkers and explore their potential clinical applications.

AMMP-8 POCT vs. Other Potential Biomarkers in Chair-Side Diagnostics and Treatment Monitoring of Severe Periodontitis.

This study aimed to compare several potential mouthrinse biomarkers for periodontitis including active matrix-metalloproteinase-8 (aMMP-8), total MMP-8, and other inflammatory biomarkers in diagnosing and monitoring the effects of nonsurgical periodontal therapy. Thirteen patients with stage III/IV periodontitis were recruited, along with thirteen periodontally and systemically healthy controls. These 13 patients were representative of the number of outpatients visiting any dentist in a single day. Full-mouth clinical periodontal parameters and biomarkers (the aMMP-8 point-of-care-test [POCT], total MMP-8, tissue inhibitor of MMPs (TIMP)-1, the aMMP-8 RFU activity assay, Myeloperoxidase, PMN elastase, calprotectin, and interleukin-6) were recorded at baseline and after nonsurgical therapy at 6 weeks. The aMMP-8 POCT was the most efficient and precise discriminator, with a cut-off of 20 ng/mL found to be optimal. Myeloperoxidase, MMP-8's oxidative activator, was also efficient. Following closely in precision was the aMMP-8 RFU activity assay and PMN elastase. In contrast, the total MMP-8 assay and the other biomarkers were less efficient and precise in distinguishing patients with periodontitis from healthy controls. aMMP-8, MPO, and PMN elastase may form a proteolytic and pro-oxidative tissue destruction cascade in periodontitis, potentially representing a therapeutic target. The aMMP-8 chair-side test with a cut-off of 20 ng/mL was the most efficient and precise discriminator between periodontal health and disease. The aMMP-8 POC test can be effectively used by dental professionals in their dental practices in online and real-time diagnoses as well as in monitoring periodontal disease and educating and encouraging good oral practices among patients.

Nanopore-based detection of periodontitis biomarker miR31 in saliva samples.

MicroRNAs (miRNAs) play important roles in posttranscriptional gene regulation. Aberrations in the miRNA levels have been the cause behind various diseases, including periodontitis. Therefore, sensitive, specific, and accurate detection of disease-associated miRNAs is vital to early diagnosis and can facilitate inhibitor screening and drug design. In this study, we developed a label-free, real-time sensing method for the detection of miR31, which has been frequently linked to periodontitis, using an engineered protein nanopore and in the presence of a complementary ssDNA as a molecular probe. Our method is rapid and highly sensitive with nanomolar concentration of miR31 that could be determined in minutes. Furthermore, our sensor showed high selectivity toward the target miR31 sequence even in the presence of interfering nucleic acids. In addition, artificial saliva and human saliva samples were successfully analyzed. Our developed nanopore sensing platform could be used to detect other miRNAs and offers a potential application for the clinical diagnosis of disease biomarkers.

Diagnostic significance of LncRNA MIAT in periodontitis and the molecular mechanisms influencing periodontal ligament fibroblasts via the miR-204-5p/DKK1 axis

ObjectiveThis study investigated the clinical importance of long noncoding RNA myocardial infarction-associated transcript (MIAT) in periodontitis and its impact on the functional regulation of human periodontal ligament fibroblasts (hPDLFs). MethodsNinety-eight periodontitis patients and 74 healthy controls were enrolled. In vitro cellular models were created using Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) to stimulate hPDLFs. Real-time quantitative polymerase chain reaction was used to measure mRNA levels of MIAT and osteogenic factors. Inflammation factor concentration was assessed using an enzyme-linked immunosorbent assay. Cell viability and apoptosis were examined by cell counting kit −8 and flow cytometry assay. The targeting relationship was verified by the dual-luciferase reporter and RNA Immunoprecipitation assay. ResultsHighly expressed MIAT and Dicckopf-1 (DDK1), and lowly expressed miR-204–5p were found in the gingival crevicular fluid of periodontitis patients and Pg-LPS induced hPDLFs. MIAT has a sensitivity of 76.53 % and a specificity of 86.49 % for identifying patients with periodontitis among healthy individuals. MIAT acts as a sponge for miR-204–5p and upregulates DDK1 mRNA expression. Silencing of MIAT diminished the promotion of apoptosis and inflammation in hPDLFs by Pg-LPS and enhanced osteogenic differentiation. However, a miR-204–5p inhibitor significantly reversed the effect of silenced MIAT. ConclusionsMIAT may act as a promising biomarker for periodontitis. It modulates apoptosis, inflammation, and osteogenic differentiation of PDLFs by focusing on the miR-204–5p/DKK1 axis, indicating its potential as a new therapeutic target for treating periodontitis.

Periodontal Tissue Homoeostasis, Immunity, the Red Complex Pathogens, and Dysbiosis: Unraveling the microRNA Effect.

microRNAs are a family of small, non-coding RNA molecules that can regulate the translation of messenger RNAs (mRNAs). Numerous miRNAs have been proposed as potential indicators for periodontal disease, and their regulation might serve as a potent means of restricting the disease process. MiRNAs act as important immune system regulators that promote the production of many cytokines, including interferon (IFN), tumour necrosis factor (TNF), and IL-1as well as RANK. Investigations pertaining to the use of specific miRNAs as therapeutic agents are underway. They can influence a variety of regulatory organs and target several genes. Additionally, distinct components of the same expression pathway can be controlled by combining miRNAs and their antagonists. In recent years, many miRNA delivery methods have been created for therapeutic applications. Studies pertaining to the role of miRNAs in periodontal disease pathogenesis may pave the way for the use of miRNAs as biomarkers of periodontal disease. A complete understanding of the role of miRNA in periodontal disease and its mechanism of action can pave the way towards therapeutic strategies that can reduce or even prevent the progression of periodontal diseases.

Realizing the clinical utility of saliva for monitoring oral diseases.

In the era of personalized/precision health care, additional effort is being expended to understand the biology and molecular mechanisms of disease processes. How these mechanisms are affected by individual genetics, environmental exposures, and behavioral choices will encompass an expanding role in the future of optimally preventing and treating diseases. Considering saliva as an important biological fluid for analysis to inform oral disease detection/description continues to expand. This review provides an overview of saliva as a diagnostic fluid and the features of various biomarkers that have been reported. We emphasize the use of salivary biomarkers in periodontitis and transport the reader through extant literature, gaps in knowledge, and a structured approach toward validating and determine the utility of biomarkers in periodontitis. A summation of the findings support the likelihood that a panel of biomarkers including both host molecules and specific microorganisms will be required to most effectively identify risk for early transition to disease, ongoing disease activity, progression, and likelihood of response to standard periodontal therapy. The goals would be to develop predictive algorithms that serve as adjunctive diagnostic tools which provide the clinician and patient important information for making informed clinical decisions.

Biomarkers in periodontal health and diseases

Cause of tooth loss in world is periodontitis which is a bacterial infection whose pathogenesis has complex immune response. The diagnosis is based upon patient’s periodontal health, full mouth bleeding score, full mouth plaque score, probing depth, clinical attachment level, bleeding on probing, recessions, mobility, and migration. For early diagnosis of periodontitis chair side diagnostic tests are available which are used by periodontist. There are many biomarkers for periodontitis which help in early detection like: MMP-8 (Metalloproteinase-8), MIP-1α (Macrophage inflammatory protein-1 alpha), IL-1 β (Interleukin-1beta), IL-6 (Interleukin-6), and HB (Hemoglobin), and their combinations.

Identification of disulfidptosis- and ferroptosis-related transcripts in periodontitis by bioinformatics analysis and experimental validation.

Disulfidptosis and ferroptosis are forms of programmed cell death that may be associated with the pathogenesis of periodontitis. Our study developed periodontitis-associated biomarkers combining disulfidptosis and ferroptosis, which provides a new perspective on the pathogenesis of periodontitis. Firstly, we obtained the periodontitis dataset from public databases and found disulfidptosis- and ferroptosis-related differentially expressed transcripts based on the disulfidptosis and ferroptosis transcript sets. After that, transcripts that are tissue biomarkers for periodontitis were found using three machine learning methods. We also generated transcript subclusters from two periodontitis microarray datasets: GSE16134 and GSE23586. Furthermore, three transcripts with the best classification efficiency were further screened. Their expression and classification efficacy were validated using qRT-PCR. Finally, periodontal clinical indicators of 32 clinical patients were collected, and the correlation between three transcripts above and periodontal clinical indicators was analyzed. We identified six transcripts that are tissue biomarkers for periodontitis, the top three transcripts with the best classification, and delineated two expression patterns in periodontitis. Our study found that disulfidptosis and ferroptosis were associated with immune responses and may involve periodontitis genesis.

Microbial and Inflammatory Salivary Biomarkers of Periodontal Diseases

Recent data reveals that severe periodontal diseases affect approximately 19% of global adult populations, impacting more than 1 billion individuals universally, ranking it as the sixth most predominant human disease. Diagnosis and treatment plans for periodontal disease entirely depend solely on the assessment of traditional clinical parameters. However, these parameters are not sensitive and are subject to error. Hence, microbial and inflammatory biomarkers of periodontal diseases in saliva have attracted of interest. This review aims to evaluate the salivary components as potential diagnostic tools for periodontal diseases. In addition to periodontal pathogens, interest in salivary biomarkers of periodontal disease is increasing, and a number of biomarkers have the potential to be accurate indicators of disease and the effectiveness of therapy. The most up to date studies examining the microbial and inflammatory biomarkers with both diagnostic and prognostic values in saliva were reviewed for the purpose of this study. It is apparent that saliva has many advantages over other oral fluids such gingival crevicular fluid and mouth rinse as a tool for diagnosis of periodontal disease. Biomarkers can identify and quantify periodontal risk through objective measures. Further, the combination of biomarkers seems to enhance the diagnostic and prognostic value of the biomarkers. Amongst the microbial biomarkers of Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans and Tannerella forsythia are widely used with some promising results. Whereas, the inflammatory salivary biomarkers of IL-1β and MMP-8 are widely used for diagnosing periodontitis and predicting the future treatment outcome.

Molecularly imprinted nanogels as synthetic recognition materials for the ultrasensitive detection of periodontal disease biomarkers.

Periodontal disease affects supporting dental structures and ranks among one of the top most expensive conditions to treat in the world. Moreover, in recent years, the disease has also been linked to cardiovascular and Alzheimer's diseases. At present, there is a serious lack of accurate diagnostic tools to identify people at severe risk of periodontal disease progression. Porphyromonas gingivalis is often considered one of the most contributing factors towards disease progression. It produces the Arg- and Lys-specific proteases Rgp and Kgp, respectively. Within this work, a short epitope sequence of these proteases is immobilised onto a magnetic nanoparticle platform. These are then used as a template to produce high-affinity, selective molecularly imprinted nanogels, using the common monomers N-tert-butylacrylamide (TBAM), N-isopropyl acrylamide (NIPAM), and N-(3-aminopropyl) methacrylamide hydrochloride (APMA). N,N-Methylene bis(acrylamide) (BIS) was used as a crosslinking monomer to form the interconnected polymeric network. The produced nanogels were immobilised onto a planar gold surface and characterised using the optical technique of surface plasmon resonance. They showed high selectivity and affinity towards their template, with affinity constants of 79.4 and 89.7nM for the Rgp and Kgp epitope nanogels, respectively. From their calibration curves, thetheoretical limit of detection was determined to be 1.27nM for the Rgp nanogels and 2.00nM for the Kgp nanogels. Furthermore, they also showed excellent selectivity against bacterial culture supernatants E8 (Rgp knockout), K1A (Kgp knockout), and W50-d (wild-type) strains in complex medium of brain heart infusion (BHI).

Evaluation of circulating IgG antibodies against Porphyromonas gingivalis or its gingipains as serological markers of periodontitis and carriage of the bacterium.

Increasing evidence indicates that periodontitis contributes to systemic low-grade inflammation. Porphyromonas gingivalis is strongly associated with periodontitis, and antibodies against the bacterium may be used as a serological proxy to account for periodontal status, when studying diseases associated with periodontitis. The aim of the present study is to identify an easily accessible and reliable serological biomarker for determination of periodontal status and oral carriage of the bacterium. Saliva and serum samples were collected from periodontally healthy controls (n=27), and patients with periodontitis stage II (n=12) or stages III or IV (n=44). Serum levels of immunoglobulin G (IgG) antibodies against intact and fragmented P. gingivalis, recombinant gingipains (RgpA and RgpB), and the bacteria Escherichia coli and Capnocytophaga ochracea as controls were quantified with a multiplex bead-based assay. P. gingivalis was identified in saliva using quantitative polymerase chain reaction (qPCR). Serum IgG antibodies against P. gingivalis whole bacteria were good indicators of periodontitis (area under the curve [AUC]: 0.75, 95% confidence interval [CI]: 0.64-0.85). The same was observed for levels of antibodies against P. gingivalis fragments (AUC: 0.78, 95% CI: 0.68-0.88). Likewise, levels of antibodies against P. gingivalis whole bacteria or P. gingivalis fragments were good indicators of oral carriage of P. gingivalis (AUC: 0.92, 95% CI: 0.86-0.98 and AUC: 0.96, 95% CI: 0.92-1, respectively). Conversely, antibodies against recombinant RgpA and RgpB were not good indicators of periodontitis or oral carriage of the bacterium. None of the antibody levels differed significantly between stage II and stage III or IV periodontitis. Serum IgG antibody levels against heat-inactivated whole P. gingivalis proved to be the preferable biomarker for periodontitis and oral carriage of the bacterium.

Uncovering periodontitis-associated markers through the aggregation of transcriptomics information from diverse sources.

Periodontitis, a common chronic inflammatory disease, significantly impacted oral health. To provide novel biological indicators for the diagnosis and treatment of periodontitis, we analyzed public microarray datasets to identify biomarkers associated with periodontitis. The Gene Expression Omnibus (GEO) datasets GSE16134 and GSE106090 were downloaded. We performed differential analysis and robust rank aggregation (RRA) to obtain a list of differential genes. To obtain the core modules and core genes related to periodontitis, we evaluated differential genes through enrichment analysis, correlation analysis, protein-protein interaction (PPI) network and competing endogenous RNA (ceRNA) network analysis. Potential biomarkers for periodontitis were identified through comparative analysis of dual networks (PPI network and ceRNA network). PPI network analysis was performed in STRING. The ceRNA network consisted of RRA differentially expressed messenger RNAs (RRA_DEmRNAs) and RRA differentially expressed long non-coding RNAs (RRA_DElncRNAs), which regulated each other's expression by sharing microRNA (miRNA) target sites. RRA_DEmRNAs were significantly enriched in inflammation-related biological processes, osteoblast differentiation, inflammatory response pathways and immunomodulatory pathways. Comparing the core ceRNA module and the core PPI module, C1QA, CENPK, CENPU and BST2 were found to be the common genes of the two core modules, and C1QA was highly correlated with inflammatory functionality. C1QA and BST2 were significantly enriched in immune-regulatory pathways. Meanwhile, LINC01133 played a significant role in regulating the expression of the core genes during the pathogenesis of periodontitis. The identified biomarkers C1QA, CENPK, CENPU, BST2 and LINC01133 provided valuable insight into periodontitis pathology.

The Evaluation of a 5-miRNA Panel in Patients with Periodontitis Disease.

Side by side with tooth decay, periodontitis remains one of the most common oral diseases and is increasingly recognized as a serious public health concern worldwide. The present study aims at comparing the levels of 5 specific miRNAs (miR-29b-3p, miR-34a-5p, miR-155-5p, miR-181a-5p, and miR-192-5p) in patients with periodontal disease and healthy controls. The pathogenic mechanism is related to the activation of immune response and significant alteration of coding and noncoding genes, including miRNA. The study includes 50 subjects (17 with periodontal disease and 33 healthy controls) with a mean age of 45.3 y. In both periodontitis patients and healthy controls, a panel of 5 miRNAs (miR-29b-3p, miR-34a-5p, miR-155-5p, miR-181a-5p, and miR-192-5p) is examined by determining their expression levels with quantitative reverse transcription polymerase chain reaction. The periodontitis patients express high levels of all the investigated miRNAs. Receiver operating characteristic curve analysis shows an area under the curve (AUC) of 0.69 to 0.74 for individual transcripts with the highest AUC value observed for miR-192, followed by miR-181a. The study indicates that the 5-miRNA panel can be used as biomarker for periodontitis. In this way, all implantology procedures and treatment options for patients diagnosed with periodontitis can be improved for better long-term results, predictability, and follow-up frequency. The discovery of a miRNA panel as a potential biomarker for periodontitis offers major opportunities for practical application. Our study can improve diagnostic accuracy; researchers can develop new theories on molecular mechanisms and biomarker discovery.

The Expression Patterns of Non-Coding RNAs in Periodontal Disease.

During the last few decades there has been a growing interest in understanding the involvement of epigenetics in the pathogenesis and treatment of periodontal disease. Noncoding RNAs (ncRNAs), including microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs), may serve as epigenetic modifiers affecting the expression of genes involved in the pathogenesis of inflammatory and autoimmune diseases. There is increasing evidence supporting the idea that the function of all three types of ncRNAs seems to be interdependent. LncRNAs can act as miRNA decoys, while circRNAs can act as miRNA sponges, leading to the re-expression of miRNA target genes. The purpose of this review is to evaluate the expression patterns of ncRNAs in periodontal disease. Studies demonstrate a positive correlation between miRNA expression and periodontitis; however, this cannot be claimed for lncRNAs and circRNAs, which appear to be differentially expressed in periodontitis patients. Several studies have also suggested utilizing ncRNAs as diagnostic and prognostic biomarkers in periodontitis, or even as potential therapeutic targets; Nevetheless, the evidence to support this is premature. Future well-designed research remains necessary to establish the functional role of ncRNAs in the evolution and progression of periodontal disease.

Expression of visfatin in gingival crevicular fluid and gingival tissues in different periodontal conditions: a cross-sectional study

BackgroundStudies have shown that visfatin is an inflammatory factor closely related to periodontitis. We examined the levels of visfatin in gingival crevicular fluid (GCF) and gingival tissues under different periodontal conditions, in order to provide more theoretical basis for exploring the role of visfatin in the pathogenesis of periodontitis.MethodsWe enrolled 87 subjects, with 43 in the chronic periodontitis (CP) group, 21 in the chronic gingivitis (CG) group, and 23 in the periodontal health (PH) group. Periodontal indexes (PD, AL, PLI, and BI) were recorded. GCF samples were collected for visfatin quantification, and gingival tissues were assessed via immunohistochemical staining.ResultsVisfatin levels in GCF decreased sequentially from CP to CG and PH groups, with statistically significant differences (P < 0.05). The CP group exhibited the highest visfatin levels, while the PH group had the lowest. Gingival tissues showed a similar trend, with significant differences between groups (P < 0.001). Periodontal indexes were positively correlated with visfatin levels in both GCF and gingival tissues (P < 0.001). A strong positive correlation was observed between visfatin levels in GCF and gingival tissues (rs = 0.772, P < 0.001).ConclusionGreater periodontal destruction corresponded to higher visfatin levels in GCF and gingival tissues, indicating their potential collaboration in damaging periodontal tissues. Visfatin emerges as a promising biomarker for periodontitis and may play a role in its pathogenesis.

Role of microRNAs in Diabetes-Associated Periodontitis: A Scoping Review.

Diabetes mellitus (DM), a metabolic disorder, exhibits a bidirectional relationship with periodontitis (PD), and recently, microRNAs (miRNAs) were associated with their progression. This review aims to assess the role of miRNAs in the pathogenesis of DM-associated PD and their plausible application as a biomarker for PD in individuals with DM. The search conducted until September 2023 on Medline (Pubmed), Scopus, Embase, and Web of Science using the keywords "microRNA," "miRNA," or "miR," combined with "Diabetes" and "PD" yielded 100 articles. Only research focusing on the role of miRNAs in the pathogenesis of DM-associated PD and their potential application as biomarkers for both conditions were included. Finally, 14 studies were assessed for any bias, and the collected data included study design, sample size, participant groups, age, sample obtained, PD severity, miRNAs examined, clinical and biochemical parameters related to DM and PD, and primary outcomes. In vivo studies indicated altered expression of miRNAs-146a, -146b, -155, -200b, -203, and -223, specifically in the comorbid subjects with both conditions. Animal, ex vivo, and in vitro studies demonstrated altered expression of miRNAs-126, -147, -31, -25-3p, -508-3p, -214, 124-3p, -221, -222, and the SIRT6-miR-216/217 axis. These miRNAs impact innate and adaptive immune mechanisms, oxidative stress, hyperglycemia, and insulin sensitivity, thereby promoting periodontal destruction in DM. miRNA-146a emerges as a reliable biomarker of PD in DM, whereas miRNA-155 is a consistent predictor of PD in subjects without DM. miRNAs exert influence on immuno-inflammation in DM-associated PD. Although they can be biomarkers of PD and DM, their clinical utility is hindered by the absence of standardized tests to evaluate their sensitivity and specificity. Moreover, there has been limited exploration of the role of miRNAs in DM-associated PD through human studies. Future clinical trials are warranted to address this gap, focusing on standardizing sample collection, miRNA sources, and detection methods. This approach will enable the identification of specific miRNAs for DM-associated PD.

Cerium dioxide-based nanostructures as signal nanolabels for current detection in the immunosensing determination of salivary myeloperoxidase

This work reports the first electrochemical immunoplatform involving the use of synthesized cerium dioxide nanoparticles (CeO2NPs) / multi-walled carbon nanotubes (MWCNTs) composites as signal nanolabels for the determination of salivary myeloperoxidase (MPO), one of the proteins suggested as diagnostic biomarkers of periodontitis. The immunosensing device profits the benefits of CeO2NPs in terms of fast electron transfer and the catalytic activity and prevents the CeO2NPs tendency to agglomerate by decoration over MWCNTs, also providing high sensitivity. After a thorough characterization of the CeO2NPs/MWCNTs using various techniques and optimization of the variables involved in the preparation of the immunoplatform, a sandwich-type immunoassay was implemented with specific MPO capture and biotinylated detection antibodies. The use of horseradish peroxidase-streptavidin (HRP-Strept) or CeO2NPs/MWCNTs-(HRP-Strept) as labels for the amperometric detection at screen printed carbon electrodes (SPCEs) at −0.20 V vs. Ag pseudo-reference electrode using the H2O2/hydroquinone (HQ) system, was compared. The method developed involving CeO2NPs/MWCNTs-(HRP-Strept) provided a linear calibration plot for MPO over the 1.0 to 100.0 ng mL−1 (R2 = 0.994) range with a limit of detection value of 0.40 ng mL−1. The immunoplatform was applied to the analysis of saliva from volunteers showing that the method allowed discrimination between healthy individuals and patients diagnosed with periodontitis through the determination of MPO in 1000-times diluted saliva. The obtained results agreed with those provided by an ELISA kit, this latter requiring a much longer assay time (4 h vs 2 h).

Association between visfatin and periodontitis: a systematic review and meta-analysis.

Periodontitis is a chronic inflammatory disease caused by bacterial infection in the periodontal support tissue. Visfatin, a hormone secreted mainly by adipocytes and macrophages, plays an important role in immune regulation and defense. Although studies have indicated that patients with periodontitis have significantly high serum and gingival crevicular fluid levels of visfatin, the relationship between this adipocytokine and periodontal disease remains unclear. The aim of this study was to systematically evaluate the association between visfatin levels and periodontitis. The PubMed, Web of Science, ScienceDirect, EBSCO, and Wiley Online Library databases were searched for potential studies, using "periodontitis" and "visfatin" as the keywords in the title and abstract search fields. Standardized mean difference (SMD) values with corresponding 95% confidence intervals (CIs) were determined from the results of this meta-analysis. In total, 22 articles involving 456 patients with periodontitis and 394 healthy individuals (controls) were included in the meta-analysis. Visfatin levels were significantly higher in the patients with periodontitis than in the healthy individuals (SMD: 3.82, 95% CI [3.01-4.63]). Moreover, the visfatin levels were significantly lowered after periodontitis treatment (SMD: -2.29, 95% CI [-3.33 to -1.26]). This first-ever meta-analysis comparing visfatin levels between patients with periodontitis and healthy individuals suggests that this adipocytokine can be a diagnostic and therapeutic biomarker for periodontal disease.

Variability of salivary analytes under daily conditions and their implications for periodontitis biomarkers

IntroductionRecent studies have identified inflammatory mediators as potential biomarkers for monitoring or diagnosing periodontitis. However, the brief half-life of these mediators, coupled with their variability among different individuals and across different stages of periodontal disease, may limit their reliability as biomarkers.MethodsIn this study, we assessed the concentration profile of salivary biomarkers (IL-6, IL-8, and total protein) through repeated measurements within the same day and across different days in 79 patients exhibiting various states of periodontal health: intact periodontium, stable periodontitis, and active periodontitis. Additionally, we explored how daily variations, such as the interval between toothbrushing and eating, impact the levels of these salivary biomarkers and their diagnostic efficacy for periodontitis activity.ResultsOur results showed high salivary levels of IL-6 and total proteins in periodontitis patients (p &amp;lt; 0.001), with detection ability reflected by an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) ranging between 0.709 and 0.852. Conversely, IL-8 levels were higher in patients with intact periodontium (p &amp;lt; 0.001), with an AUC-ROC for periodontitis detection between 0.671 and 0.815. Daily activities such as toothbrushing and eating influenced the levels of specific analytes, particularly total proteins (p &amp;lt; 0.001), but this did not affect their ability to detect periodontal disease activity. The highest measurement agreement, assessed by Intraclass Correlation Coefficients (ICC), was found for IL-6, with no significant differences in agreement between same-day and different-day measurements.ConclusionsOur study demonstrated consistency in the repeated measurements of salivary analytes, both within the same day and across different days, except for salivary total protein levels. These analytes exhibited variability within a range that did not undermine their effectiveness as biomarkers for periodontal disease.

Exploration of potential shared gene signatures between periodontitis and multiple sclerosis

BackgroundAlthough periodontitis has previously been reported to be linked with multiple sclerosis (MS), but the molecular mechanisms and pathological interactions between the two remain unclear. This study aims to explore potential crosstalk genes and pathways between periodontitis and MS.MethodsPeriodontitis and MS data were obtained from the Gene Expression Omnibus (GEO) database. Shared genes were identified by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Then, enrichment analysis for the shared genes was carried out by multiple methods. The least absolute shrinkage and selection operator (LASSO) regression was used to obtain potential shared diagnostic genes. Furthermore, the expression profile of 28 immune cells in periodontitis and MS was examined using single-sample GSEA (ssGSEA). Finally, real-time quantitative fluorescent PCR (qRT-PCR) and immune histochemical staining were employed to validate Hub gene expressions in periodontitis and MS samples.ResultsFAM46C, SLC7A7, LY96, CFI, DDIT4L, CD14, C5AR1, and IGJ genes were the shared genes between periodontitis, and MS. GO analysis revealed that the shared genes exhibited the greatest enrichment in response to molecules of bacterial origin. LASSO analysis indicated that CFI, DDIT4L, and FAM46C were the most effective shared diagnostic biomarkers for periodontitis and MS, which were further validated by qPCR and immunohistochemical staining. ssGSEA analysis revealed that T and B cells significantly influence the development of MS and periodontitis.ConclusionsFAM46C, SLC7A7, LY96, CFI, DDIT4L, CD14, C5AR1, and IGJ were the most important crosstalk genes between periodontitis, and MS. Further studies found that CFI, DDIT4L, and FAM46C were potential biomarkers in periodontitis and MS.