Effects of Smoking on Periimplant Health Status and IL-1β, TNF-α, and PGE2 Levels in Periimplant Crevicular Fluid: A Cross-Sectional Study on Well-Maintained Implant Recall Patients

The Effect of Nicotine-Containing Products on Peri-Implant Tissues: A Systematic Review and Network Meta-Analysis

INTRODUCTION

Smokers have a higher chance of developing peri-implant diseases and are therefore considered an at-risk population. Our aim was to compare peri-implant characteristics in users of electronic cigarettes (EC), waterpipes (WP), cigarettes (CS), smokeless tobacco (ST), and nonsmokers (nonusers of any nicotine and tobacco product; NS).

AIMS AND METHODS

A systematic search of four electronic databases (PubMed, EMBASE, Web of Science, and CENTRAL) was performed until April 2023, restricted to English language. Thirty-nine observational studies were included in the qualitative synthesis, of which 32 studies were included in a Bayesian network meta-analysis. Using a predesigned form, two researchers independently collected data about marginal bone loss (MBL), probing pocket depth (PPD), plaque index, bleeding on probing, modified plaque index, probing pocket depth > 4 mm (PPD > 4), gingival index, peri-implant sulcular fluid volume, and TNF-α and IL-1β levels. QUIPS and CINeMA were used to evaluate the risk of bias and certainty of evidence.

RESULTS

Nonsmokers had the smallest MBL. Most nicotine-containing product users had significantly higher MBL (CS, mean difference [MD]: 1.34 credible interval [CrI]: 0.85, 1.79; WP, MD: 1.58 CrI: 0.84, 2.35; ST, MD: 2.53, CrI: 1.20, 3.87) than NS. Electronic cigarettes did not show significant difference compared to NS (MD: 0.52 CrI: -0.33, 1.36). In secondary outcomes, NS were ranked in first place. Subset analysis based on smoking habit, implant duration, and maintenance control revealed no differences in ranking probability.

CONCLUSIONS

Most nicotine-containing product users presented worse peri-implant parameters compared to NS, while EC users did not show significant differences to NS in many outcomes.

IMPLICATIONS

Alternative nicotine-containing products are gaining popularity and are often considered less harmful by the general public compared to traditional cigarettes. This is the first network meta-analysis comparing users of four nicotine-containing products and NS. This study shows that CS, WP, and ST have a detrimental effect on the overall health of peri-implant tissues. EC users also presented inferior parameters compared to NS; however, the difference was not significant in many outcomes. It is essential to educate patients who are using nicotine-containing products, and to provide proper maintenance and appropriate cessation support. Well-designed multiarmed studies are needed for direct comparison of different products, including heated tobacco products. Greater transparency of confounding factors is needed regarding smoking habit and oral hygiene.

The impact of electronic cigarettes on peri-implant health: A systematic review and meta-analysis

OBJECTIVES

Recent literature suggests that the use of electronic cigarette (e-cigarette) is a substantial contributing factor to the unsuccessful outcomes of dental implant procedures. Our aim was to systematically review the effect of e-cigarette use on clinical (PI, PD, BOP), radiographic (bone loss), and immunologic (IL-1β) peri‑implant parameters.

DATA

Main search terms used in combination: electronic cigarette, peri‑implantitis, vaping.

SOURCES

An electronic search was undertaken for MEDLINE, EMBASE, COCHRANE, and SCOPUS databases between 2017 and 2023.

STUDY SELECTION

The study protocol was developed according to PRISMA guidelines, and the focus question was formulated according to the PICO strategy. No restriction was accepted regarding language or year to avoid selection bias; the initial database search yielded 49 publications. Following the selection process, only seven studies met the inclusion criteria. Seven studies were statistically analyzed via MedCalc program. A pooled effect was deemed statistically significant if the p-value was less than 0.05.

CONCLUSION

Electronic cigarettes cause an increase in probing depth, bone loss, and the level of IL-1β, one of the bone destruction mediators in the tissues around the implant, and a decrease in bleeding on probing.

CLINICAL SIGNIFICANCE

E-cigarette is a potential risk factor for the healing process and the results of implant treatment, similar to cigarettes. Performing clinical research to evaluate the e-cigarette effect on peri‑implantitis in an age and gender-match population is needed.

The influence of smoking on the incidence of peri-implantitis: A systematic review and meta-analysis

OBJECTIVE

The aim of this study was to systematically analyze the influence of smoking on the incidence of peri-implantitis.

MATERIALS AND METHODS

The search was performed in the National Library of Medicine (MEDLINE-PubMed), SCOPUS, EMBASE, and ISI Web of Science databases (finished on November 30, 2022). Systematic review and meta-analysis were conducted according to PRISMA statement. Prospective cohort studies that evaluate the incidence of peri-implantitis in smokers and non-smokers were included. Two authors independently searched for eligible studies, screened titles, and abstracts, did the full-text analysis, extracted data, and performed the risk-of-bias assessment. The results were summarized through random-effects meta-analyses. The GRADE method was used to determine the certainty of evidence.

RESULTS

A total of 7 studies with 702 patients and 1959 implants were included for analysis. The meta-analysis revealed a significant difference between smokers and non-smokers for the risk of peri-implantitis in the implant-based (p < .0001) and patient-based analysis (p = .003). A strong association between smoking and the risk for peri-implantitis was verified at the implant level (RR: 2.04, 95% CI: 1.46-1.85) and the patient level (RR: 2.79, 95% CI: 1.42-5.50).

CONCLUSIONS

Moderate certainty evidence suggests that smoking is associated with peri-implantitis compared to non-smoking at the patient and implant levels.

Efficacy of Adjunctive Antimicrobial Photodynamic Therapy to Mechanical Debridement in the Treatment of Peri-implantitis or Peri-implant Mucositis in Smokers: A Systematic Review and Meta-analysis

This systematic review and meta-analysis aimed to determine whether adjunctive use of antimicrobial photodynamic therapy (a-PDT) in peri-implant diseases improves clinical outcomes in smokers. An electronic search was performed in MEDLINE (through PubMed), Scopus, Cochrane Library, Embase, Web of Science and Google Scholar. The primary outcome measures were bleeding on probing (BOP) and pocket depth (PD). Plaque index (PI) was the secondary outcome. Four RCTs, (188 participants) comprised of 118 cigarette smokers, 38 E-cig smokers and 32 water pipe smokers with follow-up periods ranged from 6 weeks to 6 months were recruited. All trials applied diode laser in one session with wavelengths ranged from 660 to 670 nm. There was a significant difference between mechanical debridement (MD)+a-PDT and MD alone groups in PD (WMD = -1.26 mm, 95% CI: -2.19 to -0.32, P = 0.01) and PI (WMD = -10.60%, 95% CI: -14.46 to -6.74, P < 0.001) at 3-month follow-up. However, a great amount of heterogeneity was observed (PD: χ² = 199.19, I² = 98%, P < 0.001 and PI: χ² = 25.63, I² = 84.4%, P < 0.001). Due to methodological heterogeneity and small number of studies, this systematic review was unable to reach conclusive evidence in regards of adjunctive a-PDT efficacy in improving clinical parameters in smokers.

Biomarker levels in peri-implant crevicular fluid of healthy implants, untreated and non-surgically treated implants with peri-implantitis

AIM

To compare biomarker levels in peri-implant crevicular fluid (PICF) of healthy implants with levels in PICF of implants with peri-implantitis (before and after non-surgical treatment).

MATERIALS AND METHODS

Samples were taken from 20 healthy implants (n = 17 patients) and from 20 implants with peri-implantitis (n = 19 patients) before and 3 months after non-surgical treatment using the Airflow Master Piezon^® (EMS). A Luminex™ assay was used to evaluate pro-inflammatory and anti-inflammatory cytokines IL-1β, TNF-α, IL-6 and G-CSF, collagen degradation enzyme MMP-8, chemokines MCP-1 & MIP-1α/CCL3, bone markers OPG and sRANKL and interferon-γ. Clinical and radiographical characteristics were assessed. A Mann-Whitney U and Wilcoxon signed-rank test analysed between- and within-group differences.

RESULTS

IL-1β and MMP-8 levels were found significantly elevated in implants with peri-implantitis (p = .007; p = <.001, respectively). No difference in levels of TNF-α, IL-6, MCP-1 and MIP-1α/CCL3, OPG and G-CSF between healthy and diseased implants was found. Levels of sRANKL and INF-γ were under the level of detection. None of the biomarker levels improved after non-surgical therapy, and levels of IL-1β and MMP-8 remained high.

CONCLUSION

Implants diagnosed with peri-implantitis have higher levels of IL-1β and MMP-8 in PICF compared to healthy implants. Non-surgical therapy did not influence the inflammatory immune response.

The Effect of Tobacco Smoking on Musculoskeletal Health: A Systematic Review

This systematic review explored associations between smoking and health outcomes involving the musculoskeletal system. AMSTAR criteria were followed. A comprehensive search of PubMed, Web of Science, and Science Direct returned 243 articles meeting inclusion criteria. A majority of studies found smoking has negative effects on the musculoskeletal system. In research on bones, smoking was associated with lower BMD, increased fracture risk, periodontitis, alveolar bone loss, and dental implant failure. In research on joints, smoking was associated with increased joint disease activity, poor functional outcomes, and poor therapeutic response. There was also evidence of adverse effects on muscles, tendons, cartilage, and ligaments. There were few studies on the musculoskeletal health outcomes of secondhand smoke, smoking cessation, or other modes of smoking, such as waterpipes or electronic cigarettes. This review found evidence that suggests tobacco smoking has negative effects on the health outcomes of the musculoskeletal system. There is a need for further research to understand mechanisms of action for the effects of smoking on the musculoskeletal system and to increase awareness of healthcare providers and community members of the adverse effects of smoking on the musculoskeletal system.

Peri-implant soft-tissue parameters and crestal bone levels among narghile smokers and nonsmokers

This retrospective convenient sample case-control study investigated the peri-implant soft-tissue inflammatory parameters and crestal bone loss (CBL) among narghile smokers (NS) (Group I) and nonsmoking controls (Group II). Demographic data were collected using a questionnaire. Peri-implant plaque index (PI), bleeding-on-probing (BOP) and pocket-depth (PD) were assessed; and peri-implant CBL was measured on standardized digital bite-wing radiographs. Sample-size was estimated and statistical analysis were done using Mann-Whitney U-test. Level of significance was set at p < .05. Seventy-two male individuals (35 in Group I and 37 in Group II) were included. The mean age of individuals in Groups I and II were 45.3 ± 5.2 and 42.6 ± 3.3 years, correspondingly. In Group 1, the duration and daily frequency of narghile smoking was 17.5 ± 1.6 years and 6.3 ± 0.5 times per day, respectively. The mean duration of each narghile smoking session was 28.5 ± 0.6 min. The mean peri-implant PI (p < .05), PD (p < .05) and mesial (p < .05) and distal (p < .05) CBL were statistically significantly higher among individuals in Group I compared with Group II. BOP was significantly higher in Group II than Group I (p < .05). Narghile smoking increases peri-implant soft-tissue inflammation and CBL.

Management of a crown-root fracture: A novel technique with interdisciplinary approach

Anterior teeth with subgingival fractures require a complex treatment plan that addresses biologic, functional and aesthetic factors. This case report describes the management of a crown-root fractured maxillary left central incisor. An interdisciplinary approach was used to restore the tooth due to the complex nature of the treatment. Orthodontic extrusion was performed to move the fracture line above the alveolar bone and periodontal surgery to recontour the altered gingival margin. Finally, the incisor was restored performing a root canal retreatment with a fiber post and a full ceramic crown. The treatment resulted in secured periodontal health and good aesthetics.

Key words:Crown-root fracture, orthodontic extrusion, crown lengthening, root canal retreatment, full ceramic crown.

Comparison between inflammation-related markers in peri-implant crevicular fluid and clinical parameters during osseointegration in edentulous jaws

OBJECTIVES

The aim of this study is to improve the understanding of interleukin mechanisms during osseointegration to enhance the monitoring of implant failure and success. Clinical parameters, implant stability, and cytokine levels in peri-implant crevicular fluid (PICF) during early bone healing after implant placement were investigated.

MATERIAL AND METHODS

Sixty narrow implants were placed in mandible anterior region of 30 edentulous patients (67.23 ± 7.66 years). Bone type, insertion torque, and primary stability were registered during surgery. Clinical measurements of peri-implant health and the secondary implant stability quotient (ISQ) were recorded. Samples from the PICF were collected 1, 2, 4, 8, and 12 weeks after surgery and analyzed for IL-1β, IL-6, IL-10, and TNF-α levels using ELISAs.

RESULTS

The gingival index increased significantly during the first week (p = 0.05), while the plaque index increased significantly between 4 to 8 and 8 to 12 weeks (p < 0.05). The probing depth and the ISQ also reduced significantly (p < 0.05) over time. The TNF-α release increased significantly after the 2nd week for non-atrophic patients and 4th week for atrophic patients (p < 0.05). The IL-1β concentrations showed a short-lived peak after 1st week (p = 0.003), specially in atrophic patients and sites with bone type I (p = 0.034; p = 0.007). The IL-6 concentrations peaked during the 1st and 2nd weeks (p < 0.05; p = 0.005) in atrophic patients and in bone type II (p = 0.023; p = 0.003). The IL-10 concentrations increased gradually over time, showing the highest concentrations at the 12th week (p < 0.005). A total of 12 implants failed at different periods.

CONCLUSION

While the clinical measurements presented differences between the evaluation periods, these were not indicative of early dental implant failure or peri-implant diseases. Smoking, bone atrophy, and bone type can greatly influence the cytokines concentrations during the healing time.

Gene expression in peri-implant crevicular fluid of smokers and nonsmokers. 1. The early phase of osseointegration

BACKGROUND

Smoking is a risk factor for dental implants. The mechanisms behind the impact of smoking on osseointegration are not fully understood.

PURPOSE

To investigate the initial molecular and clinical course of osseointegration of different titanium implants in smokers and nonsmokers.

MATERIALS AND METHODS

Smoker (n = 16) and nonsmoker (n = 16) patients were included. Each patient received three implant types: machined, oxidized and laser-modified surfaces. After 1, 7, 14, and 28 days, the peri-implant crevicular fluid (PICF) was sampled for gene expression analysis of selected factors involved in early processes of osseointegration. Furthermore, pain-score (VAS), resonance frequency analysis (RFA) and baseline clinical assessments were performed.

RESULTS

Early failure of osseointegration, associated with a high and sustained perception of pain, was encountered in 3/32 patients. In general, high pain scores were reported during the first days after implantation, irrespective to smoking habit, which correlated to high levels of pro-inflammatory cytokines during the first days after implantation. Higher ISQ values were found in smokers compared to nonsmokers. In smokers exclusively, ISQ values correlated to harder and less atrophic bone quality and quantity, respectively. Smokers displayed a higher expression of osteocalcin (OC), but later peak and lower expression of bone morphogenetic protein (BMP-2) (at 7 days) compared to nonsmokers. In comparison to machined implants, surface-modified implants were associated with higher expression of alkaline phosphatase (ALP) and cathepsin K (CatK) at 28 days in nonsmokers.

CONCLUSIONS

During the early phase of osseointegration, postoperative pain is linked to the inflammatory cell response and, may tentatively serve as an indicator of biological complication and implant loss. The present study suggests that smokers have an altered bone composition and (ultra)structure based on the observations that ISQ values are higher and correlate to recipient bone quality and quantity in smokers.

Efficacy of periimplant mechanical debridement with and without adjunct antimicrobial photodynamic therapy in the treatment of periimplant diseases among cigarette smokers and non-smokers

OBJECTIVE

The aim was to assess the efficacy of mechanical debridement (MD) with and without adjunct antimicrobial photodynamic therapy (aPDT) in reducing periimplant inflammation among cigarette-smokers and non-smokers.

METHODS

Cigarette-smokers and non-smokers were randomly divided into 2 groups. In the test-group, participants underwent full mouth scaling and periimplant MD with adjunct aPDT; and in the control-group, the participants underwent full mouth scaling and periimplant MD alone. Periimplant bleeding on probing (BOP), probing depth (PD) and crestal bone loss (CBL) were measured at baseline and at 6- and 12-months follow-up. Statistical analysis was performed using the Kruskal-Wallis test. P-values<0.05 were considered statistically significant.

RESULTS

Eighty-four smokers (41 patients in the test group and 43 in the control group) and 82 non-smokers (40 patients in the test group and 42 in the control group) were included. Among smokers and non-smokers, periimplant PD was significantly higher in the control-group compared with the test-group (P<0.05) at 6-months of follow-up. There was no statistically significant difference in BOP, PD and CBL among smokers and non-smokers in the test- and control-groups at 12-months of follow-up. BOP was comparable among smokers at all time intervals.

CONCLUSION

In the short-term, MD with adjunct aPDT is more effective in reducing periimplant probing depth than MD alone in smokers and non-smokers. However, in the long-term outcomes of MD either with or without aPDT among smokers and non-smokers are comparable.

Peri-implant crevicular fluid biomarkers as discriminants of peri-implant health and disease

AIM

The objective of this cross-sectional study was to examine the potential of peri-implant crevicular fluid (PICF) analytes to discriminate between peri-implant health and disease using a multi-biomarker approach.

METHODS

We collected PICF samples from the mesio-buccal site of every implant (n = 145) from 52 subjects with peri-implantitis and measured the levels of 20 biomarkers using Luminex. We grouped implants and subjects based on the clinical characteristic of the sampled sites and implants into: healthy sites from healthy implants (HH), diseased sites from diseased implants (DD) and healthy sites from diseased implants (HD). The significance of the differences between the HH and DD groups was determined using general linear models controlling for false discovery rate. We used logistic regression to determine the best multi-biomarker models that could distinguish HH from DD subjects and HH from HD subjects.

RESULTS

There were statistically significant differences between HH and DD groups for 12/20 biomarkers. Logistic regression resulted in a 6-biomarker model (Flt-3L, GM-CSF, IL-10, sCD40L, IL-17 and TNFα) that discriminated HH from DD subjects (AUC = 0.93) and a 3-biomarker model (IL-17, IL-1ra and vascular endothelial growth factor) that distinguished HH from DD subjects (AUC = 0.90).

CONCLUSION

PICF biomarkers might help discriminate peri-implant health from disease.

Impact of a chronic smoking habit on the osteo-immunoinflammatory mediators in the peri-implant fluid of clinically healthy dental implants

OBJECTIVE

The aim of this study was to evaluate the influence of chronic cigarette smoking on the profile of osteo-immunoinflammatory markers in the peri-implant crevicular fluid (PICF) from clinically healthy implants DESIGNS: Twenty-five smokers and 23 non-smoker subjects with a unitary screwed implant-supported crown in the molar or pre-molar region were enrolled in this study. The implants should have been in functioning for at least 12 months, and the peri-implant tissue should be clinically healthy [probing depth (PD)<4mm with no bleeding on probing (BoP) and no evidence of radiographic bone loss beyond bone remodeling]. The levels of interferon (INF)-γ, interleukin (IL)-4, IL-17, IL-1β, IL-10, IL-6, IL-8, tumor necrosis factor (TNF)-α, matrix metalloproteinase (MMP)-2, MMP-9, osteoprotegerin (OPG), soluble receptor activator of nuclear factor-κβ ligand (RANKL), osteocalcin (OC), osteopontin (OPN), transforming growth factor (TGF)-β, and cross-linked telopeptide of type I collagen (ICTP) in the PICF were quantified by a multiplexed bead immunoassay.

RESULTS

The smokers presented reduced levels of IL-4, IL-8, and TNF-α compared with the non-smoker individuals (p<0.05). In addition, although lower OPG levels were detected in the PICF of the smokers, the RANKL/OPG ratio did not show a significant difference (p>0.05). Moreover, higher ICTP concentrations and a higher TH1/TH2 ratio were observed in the PICF of the smoker patients (p<0.05). No differences between the groups were observed for the other markers evaluated (p>0.05).

CONCLUSIONS

Smoking habit modulate peri-implant cytokine profile, leading to reductions in IL-4, -8 TNF-α, and OPG levels and an increased ICTP and TH1/TH2 ratio in peri-implant crevicular fluid.

Decreased Histone Deacetylase 2 (HDAC2) in Peripheral Blood Monocytes (PBMCs) of COPD Patients

BACKGROUND

Histone deacetylase 2 (HDAC2) is a class I histone deacetylase family member that plays a critical role in suppressing inflammatory gene expression in the airways, lung parenchyma, and alveolar macrophages in patients with chronic obstructive pulmonary disease (COPD). However, the expression of HDAC2 in peripheral blood monocytes (PBMCs), nuclear factor kappa B (NF-κB) p65, and serum inflammatory cytokine levels in COPD patients, smokers, and non-smokers remains unclear.

METHODS

PBMCs were obtained from COPD patients, healthy smokers, and healthy nonsmokers. The HDAC2 and NF-κB p65 expression were quantified by Western Blot. HDAC activity was assessed by an HDAC fluorometric immunoprecipitation activity assay kit. Serum tumor necrosis factor-alpha (TNF-α) and interleukin-8 (IL-8) levels were measured by ELISA.

RESULTS

HDAC2 expression and HDAC activity were decreased in PBMCs in COPD patients compared with smokers and non-smokers. Increased NF-κB p65 expression, serum TNF-α and IL-8 levels were observed in COPD patients compared with nonsmokers. The FEV1%pred was positively correlated with HDAC2 expression and HDAC activity in COPD patients. Smokers had decreased HDAC activity, increased NF-κB p65 expression and serum TNF-α compared with nonsmokers.

CONCLUSIONS

HDAC2 expression was decreased in PBMCs of COPD patients and was correlated with disease severity. The reduction of HDAC2 expression not only directly enhances the expression of inflammatory genes, but may account for the activation of NF-κB mediated inflammation. Decreased HDAC2 may serve as a potential biomarker of COPD and predict the decline of lung function.

Can Periimplantitis Be Treated?

Over the past few decades, dental implants have been found to have high predictability and survival rates because of improvements in knowledge, clinical expertise, and implant designs. As such, dental implants are frequently integrated in the clinical management of fully or partially edentulous patients. It is prudent to realize that despite the high early survival rates, dental implants do have their fair share of long-term esthetic, biological, and mechanical complications. Therefore, this paper aims to review the current evidence on the management of peri-implant diseases in an attempt to answer the following question: Can periimplantitis be treated?

Smoking Modulates Gene Expression of Type I Collagen, Bone Sialoprotein, and Osteocalcin in Human Alveolar Bone

PURPOSE

Previous animal studies have shown the negative impact of smoking on bone-to-implant contact, and in humans, a decrease in bone density and implant survival over time. However, the effect of smoking on the human alveolar bone regarding the expression of bone-related markers is unknown. Therefore, the aim of this study was to evaluate the influence of smoking on the gene expression of molecules of bone metabolism in alveolar bone tissue from sites designed to receive dental implants.

MATERIALS AND METHODS

Biopsy specimens of alveolar bone were collected from smokers (n = 19) and nonsmokers (n = 19) from areas planned to receive dental implants. Gene expression of tumor necrosis factor (TNF)-α, transforming growth factor (TGF)-β, osteoprotegerin (OPG), type I collagen (COL-I), bone sialoprotein (BSP), and osteocalcin (OCN) was quantified by quantitative real-time polymerase chain reaction using glyceraldehyde-3-phosphate dehydrogenase as a reference gene. The results were assessed using multiple regression analysis, with a significance level of 5%.

RESULTS

Multiple regression analysis indicated that smoking negatively affected mRNA expression of BSP and OCN and positively altered the expression of COL-I (P < .05) despite age, gender, and arch. Moreover, regression analysis did not show a significant correlation between smoking habit and mRNA levels of TNF-α, TGF-β, and OPG (P > .05).

CONCLUSION

These results support the hypothesis that some bone markers in alveolar tissue are modulated by smoking, which could explain the negative impact of smoking on bone healing.

Vertical ridge augmentation using the modified shell technique--a case series

Vertical defects of the alveolar crest often restrict the placement of implants. The outcome of vertical augmentation is unpredictable so we aimed to develop a technique that has predictable results. We used autogenous grafts trimmed to shells less than 1mm thick to rebuild the vertical dimensions of the alveolar ridge. The shells were fixed with microscrews and the vertical space between the shell and the residual bone was filled with autogenous particulate bone. Vertical dimensions before and after augmentation were measured and descriptive statistics calculated. A total of 17 patients (10 female, 7 male, mean (SD) age 46 (17) years) had 18 sites augmented (2 sites in one patient). In 2 cases the wound dehisced and healing was by secondary intention. The rest healed uneventfully. The mean (SD) vertical defect was 4.7 (1.4) mm and mean (SD) resorption during consolidation was 0.5 (0.7) mm. All 30 previously planned implants were placed, and none failed during the first year. Loading was monitored for a mean (SD) period of 14.6 (10.5) months. The technique showed promising results and could be an alternative to procedures that use extraoral donor sites.