Introduction

Lipocalin-2 (LCN-2), also known as neutrophil gelatinase-associated lipocalin (NGAL), is mainly produced by neutrophils, osteoblasts, and adipocytes1. It was first described as a 25-kDa glycoprotein isolated from neutrophil granules that captures bacterial siderophores to promote host resistance to infection2. Over the past few years, new knowledge regarding LCN-2 functions in other physiological processes has emerged, including in the regulation of glucose and energy metabolism through appetite suppression1 and bone remodeling in response to mechanical forces3. Additionally, LCN-2 is considered an inflammatory mediator as it is induced by proinflammatory cytokines IL-6, IFN-γ and TNF-α in adipocytes, neutrophils, and macrophages and is involved in inflammatory pathologies such as obesity, inflammatory bowel disease, type 2 diabetes, and others4.

LCN-2 has also been associated with periodontal diseases5, one of the most prevalent pathologies in oral cavity diseases, affecting 19% of the global population6. Periodontitis is a clinical condition characterized by destruction of the gingiva and alveolar bone and tooth loss. This condition arises from the host’s immune-inflammatory response triggered by oral dysbiosis in susceptible individuals7.

In periodontitis, unresolved inflammation leads to tissue injury. The mechanisms driving soft and hard tissue destruction involve the interaction of mediators from both innate and acquired immunity, cytokine networks including IL-1α, IL-1β, TNF-α, IL-6, and IL-17, lipid mediators, and chemokines8. Periodontal pocket formation and alveolar bone loss are hallmarks of periodontitis7. These processes escalate when excessive numbers of neutrophils are recruited to the gingival crevice but fail to fight the infection. Instead, neutrophils release degradative enzymes, cytotoxic substances, and proinflammatory cytokines for the recruitment of macrophages, dendritic cells, and lymphocytes. This further exacerbates inflammation by the production of additional proinflammatory mediators, and stimulation of T helper cells Th1 and Th17 response. This microenvironment induces higher expression of Receptor Activator on Nuclear Factor kB Ligand (RANKL), promoting the differentiation and activation of bone-resorbing cells (osteoclasts)9.

Traditionally, clinical and radiographic parameters were used to diagnose and treat periodontitis, but these methods made it challenging to classify and predict the evolution of the disease. The current classification system of periodontitis is based on the etiology factors, clinical history, and clinical parameters while also emphasizing the use of biomarkers to predict disease risk and progression10,11,12,13.

Multiple molecules related to inflammation (TNF-α, IL-6), bone resorption (RANKL, osteoprotegerin (OPG), and tissue degradation matrix metalloproteinase (MMP) -8 and MMP-9 have been considered as possible biomarkers of periodontal disease14. The expression of these biomarkers has been analyzed in oral fluids such as gingival crevicular fluid (GCF), which provides localized information, and in saliva, which contains both local and systemic markers; and even in extra-oral fluids like serum15,16, urine17,18,19, and tears20, to study the relationship between periodontitis and systemic diseases.

An increasing number of studies have reported elevated LCN-2 levels in patients with periodontal diseases5,17,21,22, suggesting that LCN-2 may play an important role in their pathogenesis, probably through its role in neutrophil-driven inflammation and bone remodeling via osteoblast activity3,23.

Furthermore, due to LCN-2 high expression in serum or urine in inflammatory systemic diseases, such as kidney disease, rheumatic diseases, obesity, diabetes, and heart failure, has been proposed as a potential biomarker linking periodontitis and systemic diseases17,20,24,25. However, the role of LCN-2 in relation to periodontal inflammatory markers remains unclear. It has not yet been established which body fluids are used for LCN-2 detection, whether its increased expression depends on the type of periodontal disease, or if periodontal treatment reduces LCN-2 expression. It is unknown if LCN-2 expression is associated with both periodontitis and systemic diseases. Therefore, this systematic review aimed to examine the clinical evidence regarding LCN-2 expression to determine its implications in periodontal disease.

Methods

The study was performed in accordance with Cochrane standards for systematic reviews. The search criteria complied with the PRISMA 2020 guidelines21. The protocol was registered at the International Prospective Register of Systematic Reviews (PROSPERO) under the number CRD42023458565. To determine the implications of LCN-2 expression in periodontal disease, we addressed the following questions:

  1. 1.

    Is there an increase in LCN-2 concentrations in periodontal disease?

  2. 2.

    Which type of periodontal disease shows the highest LCN-2 expression?

  3. 3.

    In which body fluid has LCN-2 been detected?

  4. 4.

    Are LCN-2 levels associated with other inflammatory biomarkers?

  5. 5.

    Does periodontal treatment modify LCN-2 concentrations?

  6. 6.

    Are LCN-2 concentrations higher when a systemic disease accompanies periodontal disease?

Eligibility criteria

The criteria for considering studies for this systematic review were defined based on the elements of the Patient population, Intervention, Comparative controls, Outcome(s), and Studies, also known as the PICOS model26, as outlined in Table 1. We included observational (cohort, cross-sectional, case-control) and experimental studies (randomized controlled trials) published from 2000 to 2024. Exclusion criteria included animal or in vitro studies, reviews, case reports, editor letters, meta-analyses, or congress abstracts, studies with insufficient data on LCN-2 concentrations, and studies reporting LCN-2 levels in systemic diseases without periodontitis.

Table 1 PICOS criteria for study selection.

Information sources and search strategy

Three electronic databases (Google Scholar, PubMed, and ProQuest) were searched up to August 29th, 2024, using the following MeSH/entry terms, synonyms, and free terms in combination with the Boolean operators (OR, AND) to broaden the search results: (lipocalin-2) OR (lipocalin 2) OR (LCN-2) OR (NGAL), AND periodontitis.

The authors (DLSS, SECM, and ALGH) conducted the searches independently, and the selected studies were reviewed to reach a consensus. Duplicated studies were eliminated using EndNote 20. All articles identified through the search were assessed for eligibility criteria. Full texts that were unavailable were excluded after an initial screening of titles and abstracts. Potentially relevant studies were further examined to answer the research question.

Data collection process

Data were independently extracted by two of the authors (ALGH and DLSS). The selected articles were organized according to their type. The following data were extracted: (1) first author, (2) year of publication, (3) country, (4) purpose of the study, (5) sample evaluation method (6) number of participants, (7) demographic data (sex and age), (8) periodontal condition, (9) mean parameters considered to evaluate periodontal status: Bleeding On Probing (BOP) (%), Probing Depth (PD) (mm), Clinical Attachment loss (CAL) (mm), Plaque index (PI) and Gingival Index (GI, (10) presence of systemic disease (11) biological fluid or tissue used for LCN-2 detection (GCF, saliva, serum, or tears), (12) mean baseline and post-treatment LCN-2 concentrations reported, (13) related inflammatory biomarkers and (14) main outcome. After data extraction, all authors reviewed and discussed the data to reach a consensus.

In cases of missing data, the authors were contacted by email to clarify any information.

Risk of bias and quality assessment

The quality of the included studies was assessed according to their type. For observational studies, the STROBE Statement was used. This checklist evaluates 22 points that should be included in articles reporting this type of research. Each item evaluated was rated as yes (green), no (red), or unclear (yellow), and a total score was obtained based on the number of “yes” ratings for each study. Quality was considered low if the study scored 0–7 out of 18 points, moderate quality if it scored 8–15 points, and high quality if it scored 16–22 points27.

For experimental studies, quality was assessed using the modified Jadad scale for randomized controlled trials, which evaluates randomization, double-blinding, withdrawals and dropouts, inclusion and exclusion criteria, adverse effects, and statistical analysis. Each item was rated as yes (1 point), no (0 points), and not described (0 points). Scores of 4–8 indicate good to excellent quality, while 0–3 indicate poor or low quality28,29.

Results

Study selection

A total of 3668 articles were retrieved using the search strategy described above. After removing duplicate articles (n = 60), books (n = 460), theses (n = 4), congress abstracts, and editor letters (n = 5), 3139 articles were screened based on their titles and abstracts. Studies involving animals or in vitro experiments, reviews, and case reports were excluded (n = 3112). Full-text articles that did not meet the inclusion criteria were also excluded due to insufficient patient data (n = 1), studies that did not use quantitative methods (n = 10), and studies on systemic diseases without periodontitis (n = 5), resulting in a final total of eleven studies5,17,20,22,24,25,30,31,32,33,34. The study flowchart is shown in Fig. 1.

Fig. 1: PRISMA flow diagram depicting the study selection process.
figure 1

Study flowchart shows the steps for study slection: identification, screening and finally included studies.

Study characteristics

General study characteristics

Relevant information was collected using data collection sheets and is summarized in Supplementary Table 1. The characteristics of the articles included in the review were first divided by study type. Seven studies were observational, and four were experimental. Six were cross-sectional studies that reported differences in LCN-2 levels between healthy individuals and patients with periodontal diseases17,20,24,33,34, one was a prospective cohort study that reported changes in LCN-2 levels at two-time points32, and four were prospective randomized controlled trials that evaluated LCN-2 concentrations before and after periodontal treatments5,22,25,30.

The studies were published between 2013 and 2023 and originated from seven different countries: Japan (n = 2), USA (n = 2), India (n = 2), Denmark (n = 1), Italy (n = 1), Turkey (n = 2), and Egypt (n = 1). The total sample size ranged from 47 to 168, with the number of gingivitis cases ranging from 13 to 34, periodontitis cases from 18 to 101, and control groups from 10 to 52. Nine out of eleven studies included both female and male participants5,20,22,25,30,31,32,33,34. The study by Nakajima et al. included only males17, while Mahendra et al. did not specify the sex of participants24. The age range across studies was from 18 to 80 years.

The definitions and diagnostic criteria for periodontal disease varied considerably across the eleven studies, though all of them specified the participants’ periodontal condition. Only the studies by Tan et al., Aspiras et al., Ceylan et al., and Morelli et al. provided complete data for the five essential parameters for diagnosing periodontal disease (BOP, PD, CAL, PI, and GI)5,22,32,33. Five out of eleven studies enrolled individuals with gingivitis5,22,32,33,34, while all eleven studies included participants with periodontitis. Most studies reporting LCN-2 concentrations focus on subjects with periodontitis.

Seven of the included studies reported increased LCN-2 concentrations in patients with periodontal diseases compared to healthy controls5,17,20,30,32,33,34. Of these, only Ceylan et al. and Tan et al. reported an increase in LCN-2 concentrations in subjects with gingivitis5,33. At the same time, Morelli et al. found no differences between the control group and gingivitis patients32. All seven studies indicated higher LCN-2 levels in periodontitis, particularly in stage III5,17,20,30,32,33,34. These findings suggest that LCN-2 levels increase in proportion to the severity of periodontal disease.

All studies specified the biological fluid used for LCN-2 detection. The fluids were GCF (n = 4)5,20,30,34, saliva (n = 4)22,31,32,33, serum (n = 2)25,33, urine (n = 1)17, and tears (n = 1)20. Only the study by Mahendra et al. assessed LCN-2 levels in subgingival tissue24. The study by Belstrøm was the only one to report lower LCN-2 levels in saliva compared to periodontally healthy individuals31. GCF and saliva were the most frequently used fluids for LCN-2 detection.

Regarding the sample evaluation method, ELISA was used in seven studies5,20,24,25,30,33,34, followed by Multiplex immunoassays in three studies22,31,32. Other techniques included Western blot and tandem mass tag labeling34.

Three studies assessed LCN-2 levels in subjects with systemic diseases. Pradeep et al. included patients with obesity20, Belstrøm et al. included a group with psoriasis31, and Mahendra et al. studied subjects with type 2 diabetes24. Pradeep et al. and Mahendra et al. reported even higher LCN-2 concentrations when both a systemic disease and periodontitis were present.

Four studies evaluated changes in LCN-2 concentration in response to periodontal therapy. Aspiras et al. investigated the short-term effects of power brushing on gingivitis and periodontitis. Although this study did not show baseline LCN-2 concentrations, they observed that LCN-2 levels remained unchanged between treatments despite improvements in BOP, PD, CAL, PI, and GI induced by power brushing22. Isola et al. assessed the efficacy of full-mouth scaling and root planing in stage III periodontitis and observed reductions in BOP, PD, CAL, PI, and LCN-2 concentrations after six months of treatment25. Ceylan et al. evaluated LCN-2 concentrations after non-surgical periodontal treatment in stage III periodontitis; improvements in BOP, CAL, PD, PI, and GI were accompanied by lower LCN-2 levels after therapy5. Alkayali et al. presented LCN-2 concentrations before and after treatment with scaling and root planing compared to polycaprolactone nanofibers loaded with oxytetracycline hydrochloride and zinc oxide (PCL + OTC + ZNO). Nanofibers were more effective than scaling and root planing in reducing LCN-2 levels and improving PD, CAL, PI, and GI30. This evidence suggests that LCN-2 expression can be decreased by periodontal therapy, and the reduction of this protein could be related to the improvement of periodontal inflammation.

Nine out of eleven studies evaluated other inflammatory markers related to periodontal diseases. Three studies reported increased IL-1β levels22,32,33, two studies reported elevated MMP-932,34, and one study each reported increased TNF-ɑ and Sema-3 levels5 when LCN-2 was also elevated. Additionally, inflammatory markers involved in the pathophysiology of systemic diseases were assessed. For instance, elevated levels of β-macroglobulin, a urinary marker of nephropathy17, as well as sensitivity C-Reactive Protein (hs-CRP) and brain natriuretic peptide (NT-proBNP), which are implicated in cardiovascular disease25, were observed. In contrast, adiponectin, a hormone that regulates insulin sensitivity, was significantly decreased in diabetic subjects with periodontitis24, while LCN-2 levels were increased. These findings demonstrate that LCN-2 is closely related to both periodontal and systemic inflammation.

Quality assessment

The quality assessment of the included studies is presented in Tables 2 and 3.

Table 2 Strobe quality assessment.
Table 3 Jadad quality assessment.

The STROBE scores for the included observational studies ranged from 14 to 20 points. The study by Tsuchida et al. was the only one considered to be of moderate quality (14 points), as although they clearly defined the study population and groups in the methods section, they presented the data for mild and moderate periodontitis in the same group in the results section34. Additionally, they did not justify the sample size, omitted the power description, and inconsistently applied the independent and dependent variables across groups. Furthermore, limitations and funding sources were not described. Despite these shortcomings, we decided to include the study because it contained the raw data necessary to determine LCN-2 levels in periodontal diseases. The rest of the studies were of good quality (Table 2).

The Jadad Scale for randomized controlled trials revealed that the studies by Ceylan et al. and Alkayali et al. were of poor quality (2 and 3 points, respectively) due to inadequate descriptions of randomization, blinding methods, and adverse treatment effects5,30. However, we included both studies because they reported LCN-2 concentrations before and after treatment. The studies by Aspiras et al. and Isola et al. were of good quality22,25 (Table 3).

Discussion

To the best of our knowledge, this is the first systematic review that explores the association between LCN-2 concentrations, the stages of periodontal disease, appropriate biological fluids for its detection, its relationship with inflammatory markers and systemic diseases, as well as its responsiveness to treatment comparing individuals with periodontal disease to periodontally healthy individuals.

Due to the heterogeneity of the included studies, a meta-analysis could not be performed. However, this systematic review allowed the inclusion of both observational and experimental studies to assess the implications of LCN-2 expression in periodontal disease.

LCN-2 was found to be overproduced in all cases of gingivitis and almost all cases of periodontitis, suggesting its potential as a marker for periodontal diseases. LCN-2 levels increased proportionally with the severity of the disease despite variations in the source of LCN-2 detection across studies, inconsistencies in diagnostic criteria for periodontitis, and differences in cohort selection by periodontal stage.

LCN-2 concentration varies according to the stage of periodontitis, considering both current and past classifications. Previous research has shown that certain biomarkers increase with the severity of periodontitis such as TNF-α and IL-1735. The detection of molecules like hs-CRP and fibrinogen in periodontitis stage III and IV, are useful for predicting the development of cardiovascular disease35. However, this pattern does not apply to all markers. For example, Baser et al. found significantly higher GCF IL-1β and prostaglandin E2 (PGE2) levels in severe periodontitis compared to mild cases but no difference in hs-CRP levels in either serum or GCF based on periodontitis severity36. This review found that elevated LCN-2 levels were associated with stage I and II periodontitis, while even higher LCN-2 levels in stage III were observed. The results of Belstrøm et al. were inconsistent, highlighting the need for further research31. No studies were found that evaluated LCN-2 levels in stage IV periodontitis.

Future studies should explore the effects of inhibiting or regulating LCN-2 concentrations at different stages of periodontitis, along with the measurement of inflammatory markers and periodontal clinical parameters, to understand its role better.

As demonstrated in this review and previous studies, GCF and saliva are the preferred biological fluids for detecting periodontal disease biomarkers35. All studies that used GCF reported higher LCN-2 levels in patients with periodontitis compared to controls. However, results from saliva were mixed. Belstrøm et al. found lower LCN-2 levels in periodontitis patients, while Morelli et al. reported significantly higher concentrations in this group compared to healthy individuals31,32. A study by Westerlund et al. also identified higher saliva LCN-2 levels in periodontitis patients using western blot, consistent with Morelli’s findings21,32. Other biomarkers in saliva have shown similar variability, such as IL-23, which was significantly lower in both localized and generalized periodontitis compared to healthy subjects37. No differences were observed in salivary protein carbonyl levels15, IL-1738, IL-1β, TNF-α, or nitric oxide39 between periodontitis patients and healthy controls. Therefore, saliva may not be the most reliable fluid for detecting periodontal disease biomarkers.

Fluids such as serum, urine, and tears were less frequently used for LCN-2 detection. However, these fluids present a valuable option for monitoring changes in inflammatory marker concentrations in response to periodontal treatment and tracking periodontal disease progression based on clinical parameters35 For instance, studies conducted by Isola et al., Ceylan et al., Aspiras et al., and Alkayali et al. evaluated LCN-2 levels before and after various periodontal treatments, demonstrating improvements in clinical parameters and reductions in LCN-2 levels5,22,25,30. An additional advantage of using extra-oral fluids is that it enables researchers to explore the relationship between periodontitis and systemic diseases35. For example, the study by Pradeep et al. assessed LCN-2 levels in both tears and GCF, finding elevated LCN-2 concentrations in both fluids from patients with periodontitis compared to healthy controls. LCN-2 levels were further increased in patients with both periodontitis and obesity, suggesting that this protein may be a key marker in understanding the link between obesity and periodontitis20. Similarly, Nakajima et al. evaluated β-macroglobulin alongside LCN-2 concentrations in urine to investigate the connection between periodontitis and nephropathy17.

Numerous studies have demonstrated that LCN-2 plays a role in the pathogenesis of significant diseases such as cancer40, inflammatory bowel disease41, diabetes42, cardiovascular disease43, and nephropathy44, among others. Local inflammation in the periodontium could potentially exacerbate these conditions45. In this systematic review, three studies assessed LCN-2 concentrations in individuals with systemic diseases. Pradeep et al. included groups of patients with obesity, Belstrøm et al. studied individuals with psoriasis, and Mahendra et al. focused on patients with generalized periodontitis and type 2 diabetes20,24,31. Therefore, further research on the role of LCN-2 in both systemic diseases and periodontitis will be crucial for understanding the connection between these pathologies and uncovering new etiological factors in periodontitis.

Conclusions

This systematic review suggests that LCN-2 is involved in periodontal diseases probably through inflammation, as LCN-2 levels increase in periodontal diseases and correlate with the type and severity of the condition. GCF and saliva are the most used fluids for its detection. Periodontal treatment helps reduce LCN-2 levels along with other inflammatory markers, contributing to the improvement of periodontal health.