Resveratrol Shows Potent Senescence Reversal in Experimental Cellular Models of Particular Matter 2.5-induced Cellular Senescence in Human Dermal Papilla Cells.

BACKGROUND/AIM: Particular matter 2.5 (PM2.5) pollution is associated with senescence induction. Since the impact of PM2.5 on stem cell senescence and potential compounds capable of reversing this process are largely unknown, this study aimed to examine the senescence effects of PM2.5 on dermal papilla (DP) stem cells. Additionally, we explored the reversal of these effects using natural product-derived substances, such as resveratrol (Res) or Emblica fruits, soybean, and Thunbergia Laurifolia (EST) extract. MATERIALS AND METHODS: Cell senescence was determined using the ß-Galactosidase (SA-ß-gal) assay. The senescence-associated secretory phenotype (SASP) was detected using real-time RT-PCR. For senescence markers, the mRNA and protein levels of p21 and p16 were measured using real-time RT-PCR and immunofluorescence analysis. RESULTS: Subtoxic concentration of PM2.5 (50 µg/ml) induced senescence in DP cells. Resveratrol (50, 100 µM) and plant extracts (400, 800 µg/ml) reversed PM2.5-induced cell senescence. Treatment with Res or EST significantly decreased SA-ß-gal staining in PM2.5-treated cells. Furthermore, Res and EST decreased the mRNA levels of SASP, including IL1α, IL7, IL8, and CXCL1. DP cells exposed to PM2.5 exhibited an increase in p21 and p16 mRNA and protein levels, which could be reversed by the addition of Res or EST. Res and EST could reduce p21 and p16 in senescent cells approximately 3- and 2-fold, respectively, compared to untreated senescent cells. CONCLUSION: PM2.5 induced senescence in human DP stem cells. Res and EST extract potentially reverse the senescence phenotypes of such cells.

Composition and source apportionment of dust fall around a natural lake.

The aim of this study was to determine the source apportionment of dust fall around Lake Chini, Malaysia. Samples were collected monthly between December 2012 and March 2013 at seven sampling stations located around Lake Chini. The samples were filtered to separate the dissolved and undissolved solids. The ionic compositions (NO3-, SO4(2-), Cl- and NH4+) were determined using ion chromatography (IC) while major elements (K, Na, Ca and Mg) and trace metals (Zn, Fe, Al, Ni, Mn, Cr, Pb and Cd) were determined using inductively coupled plasma mass spectrometry (ICP-MS). The results showed that the average concentration of total solids around Lake Chini was 93.49±16.16 mg/(m2·day). SO4(2-), Na and Zn dominated the dissolved portion of the dust fall. The enrichment factors (EF) revealed that the source of the trace metals and major elements in the rain water was anthropogenic, except for Fe. Hierarchical agglomerative cluster analysis (HACA) classified the seven monitoring stations and 16 variables into five groups and three groups respectively. A coupled receptor model, principal component analysis multiple linear regression (PCA-MLR), revealed that the sources of dust fall in Lake Chini were dominated by agricultural and biomass burning (42%), followed by the earth's crust (28%), sea spray (16%) and a mixture of soil dust and vehicle emissions (14%).