Journal of Periodontology; Copyright 2015
DOI: 10.1902/jop.2015.140639
The Association Between Thalassemia Major and Periodontal
Health
Aliye Akcalı DDS, PhD*, Selda Kahraman Çeneli MD†, Pınar Gümüş DDS, PhD*,
Nurcan Buduneli DDS, PhD, Professor*, David F. Lappin BSc, PhD, Research
Fellow‡, Özgün Özçaka DDS, PhD, Associate Professor*
*
Department of Periodontology, School of Dentistry, Ege University, İzmir, Turkey.
†
‡
Department of Haematology, School of Medicine, Aydın Government Hospital,
Aydın, Turkey.
Infection and Immunity Group, Dental Hospital and School, School of Medicine,
College of Medical, Veterinary and Life Sciences, University of Glasgow, UK.
Aim: The aim of this cross-sectional study was to compare the local and systemic levels of
sRANKL, OPG, APRIL, BAFF, IL-6 and IL-8 in biofluids of patients with thalassemia major (TM)
with or without gingivitis.
Materials & Methods: Seventy-seven patients were included in this study (TM; n=29,
systemically healthy; n=48). Gingival crevicular fluid (GCF), saliva, serum levels of IL-6, IL-8, soluble
receptor activator of nuclear factor-kappa B ligand (sRANKL), osteoprotegerin (OPG), B-cell
activating factor (BAFF), a proliferation-inducing ligand (APRIL) were determined by ELISA. Data
were analysed by appropriate non-parametric or parametric statistical tests.
Results: Median GCF, serum and saliva: BAFF (p<0.001), IL-6 and IL-8 (p<0.005) were
higher in TM gingivitis than in ‘systemically healthy’ gingivitis (p<0.001). GCF, serum, saliva APRIL,
sRANKL, IL-6, IL-8 levels were higher in TM than in systemically and periodontally healthy
comparison group (p<0.05). Positive correlations were found between BOP, PI scores and GCF
APRIL, serum sRANKL, serum OPG, sRANKL concentrations in TM groups (p<0.05). Several
significant positive correlations were found between BOP, PI scores and biofluid parameters also in
systemically healthy groups.
Conclusion: TM may have a role in the underlying systemic hematologic condition and
potentially affect gingival inflammation via dysregulation of lymphocytes and increased activation of
osteoclasts.
MESH KEYWORDS:
Cytokine(s); Gingivitis; Interleukin(s); Thalassemia major.
Thalassemia is the most common genetic disease worldwide and The World Health
Organization reports that approximately 60.000 infants with thalassemia major (TM)
are born each year.1 TM is characterised by mutations of the β globin gene with a
various degrees of defective β chain production, an imbalance in globin chain
synthesis.2 Hemolysis and ineffective erythropoiesis together cause an anemia in TM
that needs to present medical attention and patients required blood transfusion for
survival.3 Chronic iron overload leading to multiple organ damage including liver,
heart and bone is inevitable in TM. Recently, it was reported that periodontal tissues
are also affected by iron accumulation.4 Erythroid cells are highly dependent on iron
for survival and iron absorption and its recycling are regulated by hypoxia,
inflammation, and erythropoiesis, possibly through distinct mechanisms.5
Altered bone metabolism such as osteopenia and osteoporosis is the major cause
of morbidity in TM, however, underlying pathogenic mechanisms of bone mineral
loss have not been fully understood.6 Receptor activator of nuclear factor-kappa B
ligand (RANKL), receptor activator of nuclear factor-kappa B (RANK), and
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osteoprotegerin (OPG) are members of tumour necrosis factor (TNF) receptor
superfamily and they play a central role in bone remodelling together with various
cytokines.7 Alterations in the RANK/RANKL/OPG system are important in the
impaired bone turnover in TM patients with complicated mechanisms involving
chronic anaemia, iron toxicity, and endocrine complications.6 It is known that both
RANKL and OPG can be detected in gingival tissue as well as in biofluids including
gingival crevicular fluid (GCF), saliva and serum.8,9 Higher RANKL:OPG ratio has
been reported in patients with gingival inflammation than those with healthy
periodontium.8,9
Patients with TM may have various immunological defects in neutrophil and
macrophage phagocytic and killing functions and production of some cytokines.10 A
proliferation-inducing ligand (APRIL) and B-cell activating factor (BAFF) are
members of the TNF superfamily and they regulate survival and activation of
lymphocytes.11 Increased levels of cytokines such as IL-6, IL-8, APRIL and BAFF
have been reported in biofluids during the shift from gingival health to periodontal
disease.12,13
Oral health problems in patients with TM are mostly related with varying degrees
of facial deformities, malocclusions or dental arch dimensions.14,15,16 To date, there is
limited data available on the periodontal health status of patients with TM.17,18,19 It
was hypothesized that TM may cause increased levels of inflammatory cytokines in
biofluids particularly when there is accompanying gingival inflammation, which in
turn may modify the clinical signs of both chronic diseases. Therefore, the aim of the
present study was to investigate the local and systemic levels of sRANKL, OPG,
APRIL, BAFF, IL-6 and IL-8 comparatively in patients with TM with or without
gingivitis.
MATERIALS AND METHODS
Study Population and Clinical Examination
Seventy-seven patients (38 females and 39 males; age range between 18 and 58 years)
were recruited for this study from the outpatient clinic of Department of
Haematology, Aydın Government Hospital, Turkey, between September 2012 and
April 2013. Patients were divided into four study groups; 14 patients with TM and
healthy periodontium (TMh), 15 patients with TM and gingivitis (TMg), 20
systemically and periodontally healthy comparison group (Hh), 28 systemically
healthy individuals with gingivitis (Hg). The study was conducted in full accordance
with ethical principles, including the World Medical Association’s Declaration of
Helsinki, as revised in 2008. The study was approved by the Ethics Committee of the
Ege University with the protocol number 13-11/72. The study conforms to STROBE
guidelines for observational studies.20 The study protocol was explained and written
informed consent was received from each individual before enrolment in the study.
Complete medical and dental histories were obtained from each individual.
Demographic, anthropometric data and history of all past treatments were collected.
Independent factors likely to be associated with low bone mass such as history of
gonadal or pubertal dysfunction, history of iron chelating therapy, history of treatment
with calcium and vitamin D, pre-transfusion haemoglobin level, serum levels of
calcium, phosphorus, alkaline phosphatase, and thyroid function indices (T3, T4 and
TSH) were determined. Inclusion criteria for TM patients were age ≥18 years,
absence of hepatitis B, C or HIV infection, and treatment with chelation therapy using
2
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deferasirox and regular erythrocyte transfusion, vitamin B and C. The comparison
group consisted of sex and age-matched systemically healthy individuals. Pregnancy,
presence of any other known systemic disease and usage of antibiotics or antiinflammatory drugs within the last 6 months were the exclusion criteria. Smoking
status was determined by self-reporting but current or former smokers were not
excluded. Eligible patients were returned to the clinic for clinical periodontal
measurements including probing depth (PD), plaque index (PI)21, and bleeding on
probing (BOP; +/-). BOP was deemed positive if it occurred within 15 seconds after
probing. Clinical periodontal measurements were performed at 6 sites/tooth (mesiobuccal, mid-buccal, disto-buccal, mesio-lingual mid-lingual and disto-lingual
locations), except the third molars, using a Williams periodontal probe∗ and by the
examiners calibrated initially and at 6-month intervals during the study (AA, PG,
ÖÖ).
Diagnosis of gingivitis was assigned according to the clinical and radiographic
criteria proposed in the 1999 International World Workshop for a Classification of
Periodontal Disease and Conditions22 BOP scores exceeded 50% of all sites, with PD
<3 mm at 90% of the measured sites and no more than one site had a PD >4 mm or
clinical attachment level (CAL) ≥1 mm, and no clinical and/or radiographic sign of
periodontitis was evident.
Collection of Biofluid Samples
To minimise the effect of diurnal variation on biochemical parameter levels all
biofluid samples were collected in the morning between 8:00 am and 9:00 am and
immediately frozen at - 40°C. Participants were asked to avoid oral hygiene measures
(flossing, brushing and mouth-rinses), eating, and drinking 2 h prior to saliva
sampling. All individuals were asked first to rinse their mouth with distilled water for
2 min, wait for 10 min and then expectorate into sterile 50 ml tubes for 5 min.
Five ml of venous blood were obtained in tubes with a silicone-coated interior†
utilizing a standard venipuncture method. The collected blood samples were left at
room temperature to allow clotting to occur and then centrifuged at 1500 x g for 15
min at +4°C to remove the fibrin clot and cellular elements.
GCF samples were obtained from the buccal aspects of two interproximal sites
with obvious plaque accumulation and visible signs of inflammation at single-rooted
teeth and at least one multi-rooted tooth from each individual. Filter paper strips were
used for GCF sampling.‡ First, supragingival plaque was removed carefully by sterile
curettes and the surfaces were gently air-dried and isolated by cotton rolls. Then filter
paper strips were placed in the orifices of gingival sulcus/pocket for 30 seconds. Care
was taken to avoid mechanical trauma, and strips visually contaminated with blood
were discarded. The absorbed GCF volume was estimated by a calibrated instrument.§
The two strips from each patient were placed into one polypropylene tube and frozen.
Measurement of sRANKL, OPG, APRIL, BAFF, IL-6, IL-8 Levels in
Biofluid Samples
Commercial ELISA kits were purchased for the measurement of APRIL,**
sRANKL,†† OPG,‡‡ IL-6§§ and IL-8.*** The BAFF††† assay was developed in-house
from antibody pairs (Goat polyclonal as a capture antibody and biotinylated mouse
monoclonal for detection) and recombinant BAFF‡‡‡ was used as the assay standard.
GCF samples from each patient were eluted in 1ml of PBS containing 0.05% Tween
3
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20 with a 60 min incubation on a rotary mixer at +4oC. ELISA. The ELISA assays
were carried out in duplicate on 50µl samples of GCF and in triplicate on 25 - 50µl of
serum or saliva according to the manufacturers’ recommendations.
The optical densities were read at 450 nm with a background subtraction at 570
nm and the samples were compared with the standards. The minimum detection limits
in the assays were: IL-6, 0.79 pg/ml; IL-8 1.59 pg/ml; APRIL, 15.8 pg/ml; BAFF,
15.8 pg/ml; OPG, 7.9pg/ml; and sRANKL, 7.9pg/ml .The GCF results were expressed
as total amounts per sampling time (pg/30s) and also as concentrations (pg/µL). The
findings in saliva and serum samples were expressed as concentrations (pg/mL).
Statistical Analysis
The distribution of the data was evaluated by D’Agostino-Pearson omnibus normality
test. Comparisons between all groups for non-normally distributed variables
(biochemical data) were performed by the Kruskal-Wallis test and Dunn’s test was
used in order to correct for multiple comparisons. For normally distributed variables
(age, PI, BOP and PD) one-way ANOVA test with Holm-Sidak’s multiple
comparison test (family-wise significance and confidence level 0.05) was used.
Correlations between clinical and biochemical data were analysed by Spearman’s
correlation test. The statistical analyses were conducted using the statistical
software,§§§ and statistical significance was considered at p<0.05.
RESULTS
Periodontal Clinical Findings
Demographics and full mouth clinical periodontal recordings are presented in Table 1.
Mean PD and CAL were below 3 mm in all the study groups. The One-way ANOVA
indicated that clinical periodontal parameters were not significantly different when
comparing the groups in the two gingivitis groups with or without TM (p>0.05).
Biochemical Data in the Serum Samples
Circulating levels of investigated cytokines are presented in Fig. 1. Serum BAFF (Fig.
1A), APRIL (Fig. 1B), and IL-6 (Fig. 1F) concentrations were significantly higher
(p<0.05) in the TM groups than the comparison groups. Serum OPG concentrations
were similar in the study groups (Fig. 1C). sRANKL was higher in the TMg group
than in the TMh (Fig. 1D) and also higher in TMh than Hh and the sRANKL:OPG
ratio was greater (Fig. 1E) (p<0.01) than the comparison groups. Serum IL-8 levels
(Fig. 4G) were significantly higher in TMh and Hg groups compared to Hh group
(p<0.001).
Biochemical Data in the Saliva Samples
The biochemical data obtained in saliva samples are presented in Fig. 2. Saliva BAFF
(Fig. 2A), APRIL (Fig. 2B), sRANKL (Fig.2D), IL-6 (Fig. 2F) levels were
significantly higher in the TM groups than the comparison groups (p<0.01). Saliva
OPG concentrations were similar in the study groups (Fig. 2C). Saliva sRANKL
concentrations were higher in the Hg group than the Hh group (Fig. 2D). The ratio of
sRANKL:OPG (Fig. 2E) was greater in TMg than in Hg (p<0.05). Saliva
concentrations of IL-8 were significantly higher in the TMh group and the Hg group
compared to the Hh group (Fig. 2G).
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Biochemical Data in the GCF Samples
The biochemical data obtained in the GCF samples are presented in Fig. 3. Greater
amounts of APRIL and OPG were observed in the TMh than in the TMg group
(p<0.05) (Fig. 3C). The amounts of sRANKL (Fig. 3D) and IL-6 (Fig. 3F) were
significantly greater in the TM groups than in the comparison groups (p<0.01) and the
sRANKL amount was higher in the TMg than in the TMh group (p<0.05).
Concentrations of APRIL, BAFF, OPG, sRANKL, IL-6 and IL-8 in GCF are
presented in Fig. 4. BAFF concentrations (Fig. 4A) in GCF were greater in the
healthy comparison groups than in the TM groups (p<0.05). BAFF concentrations
were also significantly higher (p<0.05) in the GCF of the TMh group compared to the
TMg group. GCF APRIL (Fig. 4B), sRANKL (Fig. 4D), and IL-6 (Fig. 4F)
concentrations were significantly greater (p<0.01) in TM groups than the healthy
groups (p<0.001) and in the TMh than the TMg group (p<0.001). OPG (Fig. 4C) and
IL-8 (Fig. 4F) concentrations were similar in the study groups. GCF sRANKL
concentration was higher in the TMg than in the TMh group (p<0.05).
Correlations Between the Clinical Periodontal Parameters and the
Biochemical Data
In the TM group, significant positive correlations were found between BOP, PI scores
and GCF concentrations of BAFF, sRANKL, GCF APRIL (total), serum OPG and
sRANKL (Table 2). In the systemically healthy comparison group significant positive
correlations were detected between BOP, PI scores and GCF BAFF, serum and GCF
APRIL (concentration and level), OPG & IL-6 in all biofluids, sRANKL & IL-8 in
saliva and serum. Additionally, BOP scores significantly correlated with serum BAFF
and GCF IL-8 concentrations.
DISCUSSION
It is likely that there is an association between TM and periodontal health status.
However, very few studies have been published on this issue and to our knowledge,
this is the first study to investigate the salivary and GCF levels of RANKL, OPG,
APRIL, BAFF, IL-6, and IL-8 in patients with TM and gingivitis. The present study
revealed that patients with TM had elevated serum and saliva levels of APRIL,
sRANKL, IL-6, and sRANKL:OPG ratio as well as higher GCF sRANKL, IL-6, IL-8
levels than the systemically healthy comparison groups.
Osteopenia and osteoporosis are major causes of morbidity in patients with TM
due to imbalanced osteoclastic bone resorption and the direct iron toxicity on
osteoblasts.23 The balance between RANKL and OPG has a controlling role on bone
remodelling and bone loss.24 Local stimuli from hormones, inflammatory mediators
and bacterial products contribute to the pathogenesis of osteoporosis in patients with
thalassemia and lead to increased RANKL levels, decreased OPG:RANKL ratio and
altered microenvironment of the over stimulated red marrow.25,26 Increased serum
OPG and sRANKL concentrations have been reported as biochemical markers of
bone turnover27 although the diagnostic value of increased or decreased serum levels
of these proteins remains controversial. Significantly lower serum OPG
concentrations have been reported in patients with TM than the systemically health
controls28,29 but the present data indicated similar OPG levels in the study groups in
all biofluids. Various other studies reported conflicting data, such as increased OPG
concentrations.27,30 The present findings of serum RANKL levels are in line with a
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previous investigation, which reported increased serum RANKL levels and indifferent
OPG levels in patients with TM and systemically healthy comparison groups.23 The
RANKL:OPG ratio has been suggested as a promising rapid and cheap screening
marker for osteopenia or osteoporosis in patients suffering from thalassemia.29 The
discovery of the RANK/RANKL/OPG system has brought significant progress in the
understanding of the regulatory mechanisms of osteoclast differentiation and
activation exerted by the immune system.7 RANKL:OPG pathway is involved in the
pathogenesis of periodontitis.8,9,31 Accordingly, the present findings indicated higher
GCF, serum and saliva sRANKL levels in patients with TM and gingivitis than
systemically and periodontally healthy individuals. Whether gingival inflammation
worsens the existing impaired osteoclast differentiation in patients with TM in this
study is unclear, but worthy of consideration for future investigation.
It is interesting to note the significant negative correlation between PI, BOP and
the GCF sRANKL concentration of the TM patients when such a difference is not
evident in the comparison groups. Considering the present findings, the increase in
GCF sRANKL concentration of TM patients is not likely to be solely related with the
level of clinical gingival inflammation and the microbial plaque levels. The patients in
the TMh group may have subclinical gingival inflammation. The positive correlations
between inflammatory markers and clinical periodontal parameters only in
systemically healthy individuals may also support this speculation. Increased levels of
inflammatory markers in patients with TM, who have low plaque scores and clinically
healthy periodontium may explain these findings.
IL-6 and IL-8 are important components of the pro-inflammatory response.
Markedly increased plasma IL-6 and IL-8 levels were reported in patients with TM.32
The present data provides further support for the previous findings and increased
production of IL-6 and IL-8 might be explained by abnormalities in iron metabolism
due to overstimulation of macrophages. The present study revealed the highest serum
IL-6 concentrations in patients with TM and gingivitis and IL-8 concentrations in
periodontally healthy TM patients. Serum levels of these cytokines may be relevant in
the pathophysiology of TM. Levels of inflammatory cytokines such as IL-6 and IL-8
are elevated in oral fluids in the presence of gingival inflammation compared to
periodontal health.13 According to the present findings, gingival inflammation seems
to have an enhancing effect on the levels of these cytokines, which in turn are capable
of upregulating the chemotactic, secretory and phagocytic functions of macrophages33
and neutrophils.34 While IL-8 is principally involved in increased neutrophil and
monocyte recruitment to sites of infection, both IL-633 and IL-8 are known to
influence intracellular killing by these cells and particularly IL-8 stimulates secretion
of B-cell activating BAFF and APRIL.35 BAFF and APRIL in return exert reverse
signalling on the human monocytes (THP-1 cell-line) and macrophages to stimulate
IL-8 and MMP-9 production36,37 and stimulate phagocytosis.37
Thus, at a localised periodontal tissue site, there is potential for these molecules to
accentuate the activity induced by each other. In the short term this may be beneficial
for eradication of infection, but longer duration may result in significant tissue
damage and bone loss. A plausible hypothesis for when levels are perturbed and the
balance upset, is that this leads to a defect in intracellular killing and other damaging
consequences due to changes in the necessary cell functions for resolving disease and
promoting tissue repair.38
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Patients with TM may present with various immunological defects, such as
impairment of neutrophil- macrophage- phagocytic and killing functions and altered
production of various cytokines. However, the role of B/T-lymphocyte stimulatory
cytokines such as APRIL, BAFF has not been investigated before in a similar patient
group. The present findings revealed higher saliva and serum BAFF and APRIL
levels in patients with TM compared to systemically healthy individuals with or
without gingivitis. Although GCF APRIL levels were higher in the TM group, BAFF
concentrations in GCF were lower than those in the healthy comparison groups. The
reason for this finding may be a significant change in the periodontal inflammatory
cell population and/or an indication of leukocyte dysfunction in TM, but this has yet
to be elucidated. In order to delineate the present changes in BAFF/APRILL levels in
this particular systemic condition, BAFF/APRIL antagonists, which are reported to be
successful in clinical trials,39 may be investigated in future studies.
CONCLUSION
The present findings suggest a possible association between BAFF/APRIL system and
TM. Alterations in APRIL and BAFF may be related with impaired regulation and
activation of lymphocytes, which are associated with autoimmune response in patients
with TM that can be possibly potentiated by gingival inflammation. Furthermore,
evaluation of RANKL, OPG levels in oral biofluids may provide relevant information
not only on periodontal disease state but also pathogenesis of bone and mineral
metabolism in patients with TM. Further longitudinal prospective studies are
warranted to better clarify the role of these cytokines in the pathogenesis of TM itself
and its complications such as impaired bone metabolism. Elucidating the underlying
pathogenic mechanisms may allow the design of optimal therapeutic and preventive
measures for patients with this haematological disease.
ACKNOWLEDGEMENTS
The authors declare no conflicts of interest with respect to authorship and/or publication of this article.
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Correspondence Address: Dr. Aliye Akcalı, Department of Periodontology, School of
Dentistry, Ege University, 35100 Bornova, İzmir / Turkey, Tel: + 90 232 388 11
05, Fax: + 90 232 388 03 25, E-mail:
[email protected]
Submitted November 12, 2014; accepted for publication April 15, 2015.
Figure 1.
Serum levels of biochemical data. Concentrations (pg/mL) of BAFF (A), APRIL (B), OPG (C),
sRANKL (D), sRANKL:OPG (E), IL-6 (F) and IL-8 (G) in serum. The horizontal lines in the boxplots
represent the median values and the whiskers represent the 5-95 percentiles. Values below and above
the whiskers are drawn as individual dots. Significant differences between groups are shown as
follows: * TMh significant difference with TMg; † TMh significant difference with Hh; ‡ TMg
significant difference with Hg; § Hh significant difference with Hg.
Figure 2.
Salivary levels of biochemical data. Concentrations (pg/mL) of BAFF (A), APRIL (B), OPG (C),
sRANKL (D), sRANKL:OPG (E), IL-6 (F) and IL-8 (G) in saliva. The horizontal lines in the boxplots
represent the median values and the whiskers represent the 5-95 percentiles. Values below and above
the whiskers are drawn as individual dots. Significant differences between groups are shown as
follows: * TMh significant difference with TMg; † TMh significant difference with Hh; ‡ TMg
significant difference with Hg; § Hh significant difference with Hg.
9
Journal of Periodontology; Copyright 2015
DOI: 10.1902/jop.2015.140639
Figure 3.
GCF total amounts of biochemical data. Amounts (pg/30S) of BAFF (A), APRIL (B), OPG (C),
sRANKL (D), sRANKL:OPG (E), IL-6 (F) and IL-8 (G) in GCF. The horizontal lines in the boxplots
represent the median values and the whiskers represent the 5-95 percentiles. Values below and above
the whiskers are drawn as individual dots. Significant differences between groups are shown as
follows: * TMh significant difference with TMg; † TMh significant difference with Hh; ‡ TMg
significant difference with Hg; § Hh significant difference with Hg.
Figure 4.
GCF concentrations of biochemical data. Concentrations (pg/µL) of BAFF (A), APRIL (B), OPG (C),
sRANKL (D), sRANKL:OPG (E), IL-6 (F) and IL-8 (G) in GCF. The horizontal lines in the boxplots
represent the median values and the whiskers represent the 5-95 percentiles. Values below and above
the whiskers are drawn as individual dots. Significant differences between groups are shown as
follows: * TMh significant difference with TMg; † TMh significant difference with Hh; ‡ TMg
significant difference with Hg; § Hh significant difference with Hg.
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DOI: 10.1902/jop.2015.140639
Table 1.
Demographics and clinical periodontal measurements of the study based on periodontal status
Systemically Healthy
Thalassemia (n=29)
(n=48)
Periodontal status
Healthy (n=14)
Gingivitis (n=15)
Healthy (n=20)
24.1 ± 5.1
27.9 ± 10.3
26.6 ± 4.2
Age (Years)
7/7
8/7
9/11
Male/Female
6/8
5/10
6/14
Smoker/ Non-smoker
0.64 ± 0.29
2.21 ± 0.45‡
0.6 ± 0.5
PI (Score 0-3)
8.80 ± 10.73
73.45 ± 17.31‡
10.21 ± 13.82
BOP (%)
Gingivitis (n=28)
27.2 ± 6.1
15/13
11/17
1.29 ± 0.94†
68.52 ± 21.73*
Values are shown as mean ± standard deviation. Significant differences between the gingivitis and periodontally healthy groups are indicated as follows: * p < 0.05, † p < 0.001, ‡
p<0.0001
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DOI: 10.1902/jop.2015.140639
Table 2.
Correlation between the clinical periodontal parameters and the biochemical data
Thalassemia
Systemically Healthy
Biochemical Data
PI
BOP
PI
BOP
Serum BAFF
r
0.072
0.033
0.340
0.263
p
0.714
0.868
0.093
0.028*
Saliva BAFF
r
-0.049
0.012
0.394
0.288
p
0.800
0.951
0.049*
0.006†
GCF BAFF (total amount)
r
-0.326
-0.252
0.613
0.522
p
0.120
0.235
<0.001†
<0.001†
GCF BAFF (concentration)
r
-0.477
-0.397
0.387
0.368
†
p
0.055
0.019*
0.010
0.015*
Serum APRIL
r
-0.026
-0.072
0.736
0.611
p
0.899
0.722
<0.001†
<0.001†
Saliva APRIL
r
0.215
0.243
0.220
0.234
p
0.273
0.213
0.133
0.110
GCF APRIL (total amount)
r
-0.747
-0.835
0.355
0.395
p
<0.001†
<0.001†
0.020*
0.009†
GCF APRIL (concentration)
r
-0.276
-0.257
0.392
0.392
†
p
0.164
0.196
0.006†
0.006
Serum OPG
r
-0.334
-0.431
-0.460
-0.416
p
0.083
0.005†
0.022*
0.001†
Saliva OPG
r
-0.008
-0.072
-0.493
-0.477
p
0.967
0.714
0.001†
0.001†
GCF OPG (total amount)
r
0.108
0.179
-0.470
-0.370
p
0.584
0.361
0.014*
0.001†
GCF OPG (concentration)
r
-0.166
-0.090
-0.580
-0.527
p
0.397
0.649
<0.001†
<0.001†
Serum sRANKL
r
0.372
0.438
0.646
0.625
p
0.047*
0.018*
<0.001†
<0.001†
Saliva sRANKL
r
-0.002
0.060
0.428
0.437
p
0.993
0.762
0.002†
0.003†
GCF sRANKL (total amount) r
-0.087
-0.174
-0.211
-0.172
p
0.661
0.376
0.165
0.259
GCF
sRANKL
r
-0.402
-0.390
-0.159
-0.053
(concentration)
p
0.297
0.729
0.034*
0.040*
Serum IL-6
r
0.190
0.151
0.619
0.456
p
0.364
0.471
<0.001†
0.001†
Saliva IL-6
r
0.142
0.006
0.502
0.302
p
0.500
0.977
<0.001†
0.041*
GCF IL-6 (total amount)
r
0.057
-0.079
0.576
0.464
p
0.791
0.713
0.001†
<0.001†
GCF IL-6 (concentration)
r
-0.353
-0.263
0.300
0.260
p
0.066
0.177
0.092
0.050*
Serum IL-8
r
-0.125
-0.192
0.330
0.318
p
0.527
0.328
0.027*
0.033*
Saliva IL-8
r
0.059
-0.026
0.332
0.251
p
0.765
0.896
0.093
0.024*
GCF IL-8 (total amount)
r
0.052
0.038
0.294
0.175
p
0.792
0.846
0.244
0.047*
GCF IL-8 (concentration)
r
-0.113
-0.099
0.168
-0.054
p
0.568
0.617
0.276
0.727
12
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DOI: 10.1902/jop.2015.140639
* Correlation is significant at the 0.05 level (2-tailed). † Correlation is significant at the 0.01 level (2tailed).
*
Hu-Friedy, Chicago, IL, USA
†
BD Diagnostics, Franklin Lakes, NJ
‡
PerioPaper, ProFlow, Amityville, NY
§
Periotron 8000, Oraflow, Plainview, NY
**
R & D Systems Abingdon UK
††
Peprotech London UK
‡‡
R & D Systems Abingdon UK
§§
R & D Systems Abingdon UK
***
eBioscience Hatfield UK
†††
R & D Systems Abingdon UK
‡‡‡
R & D Systems Abingdon UK
§§§
GraphPad Prism version 6.00c for Mac OS X, GraphPad Software, La Jolla California USA
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