METHOD: Subjects were allocated into RA (n = 49) or non-RA (NRA) (n = 55) groups, where 3 subgroups were further established; chronic periodontitis (CP), gingivitis (G) and periodontal health (H). Demographic and periodontal parameters were collected. Rheumatology data were obtained from hospital records. Serum and salivary LL-37 levels were measured using enzyme-linked immunosorbent assay and compared for all groups.
RESULTS: For salivary LL-37, RA-CP was significantly higher than NRA-G and NRA-H (P = .047). For serum LL-37, all RA and NRA-CP were significantly higher than NRA-G and NRA-H (P = .024). Salivary LL-37 correlated negatively with clinical attachment loss (CAL) (P = .048), but positively with erythrocyte sedimentation rate (ESR) in RA-H (P = .045). Serum LL-37 showed positive correlation with ESR (P = .037) in RA-G, with C-reactive protein (P = .017) in RA-H, but negative correlation with number of teeth (P = .002) in NRA-CP. Rheumatology data correlated positively with periodontal parameters in RA-CP group.
CONCLUSION: NRA-CP subjects with high serum LL-37 should receive comprehensive periodontal therapy. Positive correlation between rheumatology data and periodontal parameters showed that RA disease stability may be obtained by assessing the periodontal condition. Periodontal therapy is necessary to compliment RA treatment to achieve optimum outcome for RA patients with concurrent CP.
METHODS: All patients undergoing an initial diagnostic thoracentesis over 18 months with Pf lactate measured using a calibrated point-of-care blood gas analyzer were assessed.
RESULTS: The diagnoses of the enrolled patients (n = 170) included TBE (n = 49), PPE (n = 47), malignancy (n = 63), and transudate (n = 11). Pf lactate level in TBE, median 3.70 (inter-quartile range 2.65-4.90) mmol/l, was significantly lower than in PPE and CPPE. In the subgroup of TBE and CPPE patients whose initial Pf pH and glucose could suggest either condition, Pf lactate was significantly higher in those with CPPE. Pf lactate (cutoff ≥7.25 mmol/l) had a sensitivity of 79.3%, specificity 100%, positive predictive value 100%, and negative predictive value 89.1% for discriminating CPPE from TBE (area under the curve 0.947, p
RESULTS: Several ascending and descending monotonic key genes were identified by Monotonic Feature Selector. The identified descending monotonic key genes are related to stemness or regulation of cell cycle while ascending monotonic key genes are associated with the functions of mesangial cells. The TFs were arranged in a co-expression network in order of time by Time-Ordered Gene Co-expression Network (TO-GCN) analysis. TO-GCN analysis can classify the differentiation process into three stages: differentiation preparation, differentiation initiation and maturation. Furthermore, it can also explore TF-TF-key genes regulatory relationships in the muscle contraction process.
CONCLUSIONS: A systematic analysis for transcriptomic profiling of MSC differentiation into mesangial cells has been established. Key genes or biomarkers, TFs and pathways involved in differentiation of MSC-mesangial cells have been identified and the related biological implications have been discussed. Finally, we further elucidated for the first time the three main stages of mesangial cell differentiation, and the regulatory relationships between TF-TF-key genes involved in the muscle contraction process. Through this study, we have increased fundamental understanding of the gene transcripts during the differentiation of MSC into mesangial cells.
METHODS: 20-Plex proteins were quantified using Human Magnetic Luminex® assay (R&D Systems, USA) from plasma and SF of OA (n = 14) and non-OA (n = 14) patients. Ingenuity Pathway Analysis (IPA) software was used to predict the relationship and possible interaction of molecules pertaining to OA.
RESULTS: There were significant differences in plasma level for matrix metalloproteinase (MMP)-3, interleukin (IL)-27, IL-8, IL-4, tumour necrosis factor-alpha, MMP-1, IL-15, IL-21, IL-10, and IL-1 beta between the groups, as well as significant differences in SF level for IL-15, IL-8, vascular endothelial growth factor (VEGF), MMP-1, and IL-18. Our predictive OA model demonstrated that toll-like receptor (TLR) 2, macrophage migration inhibitory factor (MIF), TLR4 and IL-1 were the main regulators of IL-1B, IL-4, IL-8, IL-10, IL-15, IL-21, IL-27, MMP-1 and MMP-3 in the plasma system; whilst IL-1B, TLR4, IL-1, and basigin (BSG) were the regulators of IL-4, IL-8, IL-10, IL-15, IL-18, IL-21, IL-27, MMP-1, and MMP-3 in the SF system.
CONCLUSION: The elevated plasma IL-8 and SF IL-18 may be associated with the pathogenesis of OA via the activation of MMP-3.
Aim: This study was carried out in order to propose a model to predict regional lymph node metastasis of OSCC using histological parameters such as tumour stage, tumour size, pattern of invasion (POI), differentiation of tumour, and host immune response, together with the expression levels of six biomarkers (periostin, HIF-1α, MMP-9, β-catenin, VEGF-C, and EGFR), and, furthermore, to compare the impact of all these parameters on recurrence and 3 yr and 5 yr survival rates. Materials and Method. Histological materials collected from the archives were used to evaluate histological parameters and immunohistochemical profiles. Standard methods were used for immunohistochemistry and for evaluation of results. Data related to recurrence and survival (3 and 5 years) was also recorded. Clinical data was collected from patients' records.
Results: Male to female ratio was 3 : 1. The commonest site of OSCC was the buccal mucosa, and majority of them were T3 or T4 tumours presented at stage 4. 62.5% of the tumours were well differentiated. Three-year and 5-year survival rates were significantly associated with lymph node metastasis and recurrence. POI was significantly correlated with tumour size, stage, 3-year survival, EGFR, HIF-1α, periostin, and MMP-9 (p < 0.05). Expression of EGFR showed a direct association with metastasis (p < 0.05).
Conclusion: POI, level of differentiation, and expression of EGFR are independent prognostic markers for lymph node metastasis. Therefore, these parameters may help in treatment planning of a clinically negative neck.
DESIGN: A comparative cross sectional study.
PARTICIPANTS: Patients were divided into Group 1 (allergic rhinitis without conjunctivitis), Group 2 (allergic rhinoconjunctivitis), and Group 3 (normal population).
METHODS: A comparative cross-sectional study was conducted. Patients were divided into; Group 1 (allergic rhinitis without conjunctivitis), Group 2 (allergic rhinoconjunctivitis), and Group 3 (normal controls). Tears were collected using Schirmer strips and cytokine analysis performed using enzyme linked immunosorbent assay.
RESULTS: There were a total of 68 subjects. Median values of cytokines in the allergic rhinitis group were as follows; TNFa (45.34 pg/ml), IL-4 (61.91 pg/ml), IL-5 (8.92 pg/ml), IL-6 (538.37 pg/ml) and IL-8 (1438.72 pg/ml). Cytokine levels in the group with allergic rhinoconjunctivitis were approximately two-fold higher than in the group with allergic rhinitis only. The median cytokine level in the control group was lowest. A significant inter-group difference was observed for TNF-alpha, IL-4, IL-6 and IL-8 levels, with allergic rhinoconjunctivitis patients demonstrating significantly elevated cytokines compared to those with allergic rhinitis only (p<0.001). These four cytokines were also significantly higher in those with allergic rhinitis than in controls (p<0.005). Although the group with allergic rhinoconjunctivitis had the highest levels of IL-5, no statistically significant inter-group difference was noted (p=0.479).
CONCLUSION: This study demonstrated the presence of raised tear film inflammatory cytokines even in allergic rhinitis patients without ocular symptoms. These patients may be at increased risk of developing allergic conjunctivitis. These findings not only substantiate the immunological theory of the naso-ocular reflex, but have clinical and therapeutic implications for the holistic management of allergic rhinitis and conjunctivitis.
PURPOSE: The study was carried out to investigate the molecular mechanisms underlying the anti-inflammatory properties of the standardized 80% ethanol extract of Z. zerumbet through its effect on mitogen-activated protein kinase (MyD88)-dependent nuclear factor-kappa B (NF-кB), mitogen activated protein kinase (MAPK) and phosphatidylinositol 3-kinase/Akt (PI3K-Akt) signaling pathways in lipopolysaccharide (LPS)-induced U937 human macrophages.
METHODS: Standardization of the 80% ethanol extract of Z. zerumbet was performed by using a validated reversed-phase HPLC method, while LC-MS/MS was used to profile the secondary metabolites. The release of pro-inflammatory markers, tumor necrosis factor (TNF)-α, interleukin (IL)-1β and prostaglandin E2 (PGE2) was evaluated by enzyme-linked immunosorbent assay (ELISA), while the Western blot technique was executed to elucidate the expression of mediators linked to MyD88-dependent respective signaling pathways. Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) assay was carried out to quantify the relative gene expression of cyclooxygenase (COX)-2 and pro-inflammatory mediators at the transcriptional level.
RESULTS: The quantitative and qualitative analyses of Z. zerumbet extract showed the presence of several compounds including the major chemical marker zerumbone. Z. zerumbet extract suppressed the release of pro-inflammatory mediators, COX-2 protein expression and downregulated the mRNA expression of pro-inflammatory markers. Z. zerumbet-treatment also blocked NF-κB activation by preventing the phosphorylation of IKKα/β and NF-κB (p65) as well as the phosphorylation and degradation of IκBα. Z. zerumbet extract concentration-dependently inhibited the phosphorylation of respective MAPKs (JNK, ERK, and p38) as well as Akt. Correspondingly, Z. zerumbet extract suppressed the upstream signaling adaptor molecules, TLR4 and MyD88 prerequisite for the NF-κB, MAPKs, and PI3K-Akt activation.
CONCLUSION: The findings suggest that Z. zerumbet has impressive role in suppressing inflammation and related immune disorders by inhibition of various pro-inflammatory markers through the imperative MyD88-dependent NF-κB, MAPKs, and PI3K-Akt activation.