Association of HMGBP1 expression with clinical periimplant parameters among smokers and never-smokers with and without peri-implantitis.

OBJECTIVE: With our study we aimed at investigating the levels of high mobility group box chromosomal protein-1 (HMGB-1), tumor necrosis factor-alpha (TNF-α) and interleukin (IL)-1ß in periimplant crevicular fluid (PICF) of smokers and never-smokers, with and without periimplantitis, and correlate these levels with the clinical and radiographic periimplant parameters. SUBJECTS AND METHODS: Sixty participants (n=15/group) were recruited and divided into 4 groups: cigarette smokers with periimplantitis (CSPI); cigarette smokers without periimplantitis (CSNPI); never-smokers with periimplantitis (NSPI); and never-smokers without periimplantitis (NSNPI). Clinical and radiographic periimplant parameters, including plaque scores (PS), bleeding on probing (BOP), probing depth (PD) and crestal bone level (CBL), were assessed. Crevicular levels of HMGB-1, TNF-α, and IL-1ß were quantified using human enzyme linked immunosorbent assay. p-values were generated using Kruskal-Wallis' test for comparison between the study groups, while correlations between HMGB-1, TNF-α, IL-1ß levels and clinical variables were analyzed using Spearman rank correlation coefficient analysis. RESULTS: Bleeding on probing was least in NSNPI and CSNPI followed by CSPI and NSPI (p<0.05). The highest PD and CBL was recorded for CSPI and NSPI groups, while the least PD and CBL were recorded among non-periimplantitis groups. HMGB-1 and IL-1ß were found to be significantly highest in CSPI groups followed by NSPI and CSNPI groups with no statistically significant difference between CSPI and NSPI groups (p<0.05). CSPI groups reported the highest TNF-α levels in the PICF in comparison to other groups (p<0.05). A significant negative correlation was observed between plaque scores (p=0.0187) and CBL (p=0.0049) in NSNPI and CSPI groups with HMGB-1, respectively. A significant positive correlation was seen for HMGB-1 in groups CSPI (p=0.0023) and NSPI (p=0.0018) for BOP. In CSPI group, a significant positive correlation was observed between TNF-α and PD (p=0.0443). On correlating IL-1ß, a significant positive correlation was observed for CBL in CSPI (p=0.0006) and NSPI (p=0.0275) groups, respectively. CONCLUSIONS: HMGB-1 could play a significant role in periimplant inflammatory response and inflammation. Higher crevicular fluid HMGB-1 levels are indicative of a possible surrogate biomarker for peri-implantitis.

DNA Damage, Copper and Lead Associates with Cognitive Function among Older Adults.

BACKGROUND: A cross sectional study was conducted in a group of 317 subjects older than 60 in Malaysia, aimed to determine risk factors associated with cognitive impairment in older adults, focusing on trace elements and DNA damage. METHOD: Cognitive decline was determined by Montreal Cognitive Assessment (MoCA). Oxidative stress markers (malondialdehyde-MDA and superoxide dismutase-SOD) were determined and DNA damage was assayed using Alkaline Comet Assay. Toenail samples were taken and analyzed using ICP-MS to determine trace element levels. RESULTS: A total of 62.1 % of subjects had cognitive impairment. Subjects with cognitive impairment had significantly higher levels of MDA and DNA damage as compared to the group with normal cognitive function; MDA (2.07 ± 0.05 nmol/L vs 1.85 ± 0.06 nmol/L) (p<0.05) and DNA damage (% Tail Density, 14.52 ± 0.32 vs 10.31 ± 0.42; Tail Moment, 1.79 ± 0.06 vs 1.28 ± 0.06) (p<0.05 for all parameters). However, the level of SOD among subjects with cognitive impairment (6.67 ± 0.33 u.e/min/mg protein) was lower than the level among those with normal cognitive functions (11.36 ± 0.65 u.e/min/mg protein) (p<0.05). Multiple logistic regression revealed the predictors for cognitive impairment among the subjects were DNA damage (Adjusted odd ratio [OR], 1.37; 95% confidence interval [CI], 1.18-1.59), level of trace elements in toenails namely, lead (OR, 2.471; CI, 1.535-3.980) and copper (OR, 1.275; CI, 1.047-1.552) (p<0.05). CONCLUSION: High levels of lead and copper can lead to increase in oxidative stress levels and are associated with DNA damage that eventually could be associated with cognitive decline.