Salivary annexin <scp>A1</scp>: A candidate biomarker for periodontitis

Casarin, Renato Corrêa Viana; Salmon, Cristiane R.; Stolf, Camila Schmidt; Paz, Hélvis Enri de Sousa; Rangel, Thiago Perez; Domingues, Romênia R.; Pauletti, Bianca Alves; Paes‐Leme, Adriana F.; Araújo, Cássia Fernandes; Santamaria, Milton; Ruiz, Karina Silverio; Monteiro, Mabelle Freitas

doi:10.1111/jcpe.13803

Cited by 6 publications

(6 citation statements)

References 44 publications

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“…These studies were published between 2009 and 2023 (Table 1). In summary, 13 studies used a case-control approach to identify salivary biomarkers for the diagnosis of periodontitis [27,[32][33][34][39][40][41][42][43][44][45][46][47], while 2 studies investigated changes in the salivary proteome of periodontitis patients following non-surgical periodontal treatment [48,49]. S1.…”

Section: Results Of Literature Searchmentioning

confidence: 99%

“…The Newcastle-Ottawa Scale (NOS) was used to assess the quality of all shortlisted case-control studies (n = 13) [27,[32][33][34][39][40][41][42][43][44][45][46][47]. Details of the NOS results are displayed in Table S3.…”

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

“…Six studies demonstrated a low risk of bias in terms of the representativeness of the cases, as they selected participants either consecutively or randomly [32,33,41,44,45,47]. Five studies showed high comparability by matching subjects based on age, gender, and the absence of systemic diseases [27,33,34,40,45], while eight studies showed moderate comparability by pairing control subjects solely based on the absence of systemic diseases (Table S3). No study adopted secure recordkeeping or a blinded interview (questionnaire) for ascertaining exposure factors, such as systemic diseases and smoking.…”

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

“…Variation in type of saliva sample utilized in proteomic analyses may lead to a distinct proteomic profile, consequently resulting in the identification of different biomarkers [26,52]. In the context of this review, unstimulated whole saliva (UWS) samples were collected for proteomic analysis in all five AP cohorts [32,34,[40][41][42]. Conversely, the seven cohorts that focused on CP employed UWS samples [39][40][41][42]44,45,47], while the remaining four cohorts utilized stimulated whole saliva (SWS) samples [27,33,43,46].…”

Section: Study Protocolmentioning

confidence: 99%

“…Intriguingly, the salivary proteome shares an estimated 30% of its proteins with both the plasma proteome and the GCF proteome [26,27], suggesting substantial potential for salivary diagnostics. Indeed, employing expression proteomics-a technique that focuses on a quantitative comparison of protein expression typically between pathologic and physiologic states, has, to date, resulted in the discernment of promising biomarkers demonstrating robust diagnostic value across various diseases [28][29][30][31], including periodontitis [32][33][34]. This emphasizes the potential of salivary proteomics for early disease detection, monitoring disease progression, and assessing treatment effectiveness.…”

Section: Introductionmentioning

confidence: 99%

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Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Hu,

Leung

2023

IJMS

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Periodontitis is one of the primary causes of tooth loss, and is also related to various systemic diseases. Early detection of this condition is crucial when it comes to preventing further oral damage and the associated health complications. This study offers a systematic review of the literature published up to April 2023, and aims to clearly explain the role of proteomics in identifying salivary biomarkers for periodontitis. Comprehensive searches were conducted on PubMed and Web of Science to shortlist pertinent studies. The inclusion criterion was those that reported on mass spectrometry-driven proteomic analyses of saliva samples from periodontitis cohorts, while those on gingivitis or other oral diseases were excluded. An assessment for risk of bias was carried out using the Newcastle–Ottawa Scale and Quality Assessment of Diagnostic Accuracy Studies or the NIH quality assessment tool, and a meta-analysis was performed for replicable candidate biomarkers, i.e., consistently reported candidate biomarkers (in specific saliva samples, and periodontitis subgroups, reported in ≥2 independent cohorts/reports) were identified. A Gene Ontology enrichment analysis was conducted using the Database for Annotation, Visualization, and Integrated Discovery bioinformatics resources, which consistently expressed candidate biomarkers, to explore the predominant pathway wherein salivary biomarkers consistently manifested. Of the 15 studies included, 13 were case–control studies targeting diagnostic biomarkers for periodontitis participants (periodontally healthy/diseased, n = 342/432), while two focused on biomarkers responsive to periodontal treatment (n = 26 participants). The case–control studies were considered to have a low risk of bias, while the periodontitis treatment studies were deemed fair. Summary estimate and confidence/credible interval, etc. determination for the identified putative salivary biomarkers could not be ascertained due to the low number of studies in each case. The results from the included case–control studies identified nine consistently expressed candidate biomarkers (from nine studies with 230/297 periodontally healthy/diseased participants): (i) those that were upregulated: alpha-amylase, serum albumin, complement C3, neutrophil defensin, profilin-1, and S100-P; and (ii) those that were downregulated: carbonic anhydrase 6, immunoglobulin J chain, and lactoferrin. All putative biomarkers exhibited consistent regulation patterns. The implications of the current putative marker proteins identified were reviewed, with a focus on their potential roles in periodontitis diagnosis and pathogenesis, and as putative therapeutic targets. Although in its early stages, mass spectrometry-based salivary periodontal disease biomarker proteomics detection appeared promising. More mass spectrometry-based proteomics studies, with or without the aid of already available clinical biochemical approaches, are warranted to aid the discovery, identification, and validation of periodontal health/disease indicator molecule(s). Protocol registration number: CRD42023447722; supported by RD-02-202410 and GRF17119917.

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Section: Results Of Literature Searchmentioning

confidence: 99%

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

Section: Risk-of-bias Assessmentmentioning

confidence: 99%

Section: Study Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Hu,

Leung

2023

IJMS

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Annexin A1 protects periodontal ligament cells against lipopolysaccharide‐induced inflammatory response and cellular senescence: An implication in periodontitis

Luo,

Zhang,

et al. 2024

Biotech and App Biochem

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Periodontitis is an inflammatory condition that affects the tooth‐supporting structures, triggered by the host's immune response toward the bacterial deposits around the teeth. Annexin A1 (AnxA1), a vital member of the annexin superfamily, is known for its diverse physiological functions, particularly its anti‐inflammatory and anti‐senescence properties. We hypothesized that AnxA1 has a protective effect against lipopolysaccharide (LPS)‐induced inflammatory responses and cellular damage in periodontal ligament cells (PDLCs). In this study, we demonstrate that LPS stimulation significantly reduced telomerase activity in PDLCs, a decline that was dose‐dependently reversed by AnxA1. Importantly, AnxA1 protected the cells from LPS‐induced cellular senescence and the downregulation of human telomerase reverse transcriptase (hTERT) expression. In line with this, AnxA1 suppressed the LPS‐induced expression of p21 and p16 at both the mRNA and protein levels. Furthermore, AnxA1 demonstrated potent anti‐inflammatory effects by inhibiting the secretion of interleukin 6 (IL‐6), interleukin 8 (IL‐8), and monocyte chemoattractant protein‐1 (MCP‐1). It also mitigated LPS‐induced oxidative stress by reducing the levels of phosphorylated Foxo3a (Ser253) and restored sirtuin 1 (SIRT1) expression. Notably, SIRT1 silencing abolished AnxA1's protective effects on Foxo3a phosphorylation and cellular senescence, suggesting that SIRT1 mediates AnxA1's actions. In conclusion, AnxA1 protected PDLCs against LPS‐triggered inflammation and cell senescence by activating SIRT1 signal pathway. These findings indicate that AnxA1 could serve as a promising therapeutic strategy for the treatment of periodontitis.

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Revolutionizing periodontic care: Nano Dentistry's impact on inflammation management

Chaturvedi,

Gupta,

Kesharwani

et al. 2024

Journal of Drug Delivery Science and Technology

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Salivary annexin A1: A candidate biomarker for periodontitis

Cited by 6 publications

References 44 publications

Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review

Annexin A1 protects periodontal ligament cells against lipopolysaccharide‐induced inflammatory response and cellular senescence: An implication in periodontitis

Revolutionizing periodontic care: Nano Dentistry's impact on inflammation management

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