These findings indicate the possible use of interleukin-10 single nucleotide polymorphisms as genetic markers in chronic periodontitis patients and further emphasise the molecular differences between chronic periodontitis and aggressive periodontitis.

MicroRNAs (miRNAs) are non-coding RNAs that control many functions within the human cells by controlling protein levels through binding to messenger RNA (mRNA) translation process or mRNA abundance. Many pieces of evidence show that miRNAs affect the viral RNA replication and pathogenesis through direct binding to the RNA virus to mediate changes in the host transcriptome. Many previous studies have been studying the interaction between human cells' miRNA and viral RNA to predict many targets along the viral genome. In this work, via the miRDB database, we determined the target scores of predicted human miRNA to bind with the ss-RNA of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) in general and its spike gene in specific. Our predicted miRNA targets of the ss-RNA of SARS-CoV-2 might destabilize the ss-RNA translation of SARS-CoV-2 that has been established by more than 80% of asymptomatic infected cases in Jordan due to host miRNA interactions. In respiratory epithelial cells, the high prediction scoring for miRNAs covers the RNA from 5′ to 3′ that explains successful antiviral defenses against ss-RNA of SARS-CoV-2 and might lead to new nucleotide deletion mechanisms. The exciting findings here that the nucleotide substitution 1841A > G at the viral genomic RNA level, which is an amino acid substation D614G at the spike protein level showed a change in the predicted miRNA sequence from hsa-miR-4793-5p to hsa-miR-3620-3p with an increase in the target score from 91 to 92.

Ten Gram-positive and Gram-negative bacterial cultures were recovered from nine water, mud, and soil samples from the Dead Sea shore at Suwaymah. They were able to grow at 10% NaCl and at 45 degrees C. Bacterial cultures 6 and 8 were able to grow in nutrient media supplemented with 2250 ppm of Pb. Bacterial cultures 1, 3-6, 9, and 10 were able to grow in nutrient medium supplemented with 1000 ppm of Cd. Atomic absorption spectrometry was used to estimate the absorbed Pb and Cd by bacterial cultures from 5-, 25-, 100-, and 500-ppm stock solutions of both elements. After 2 wk, the results showed that the maximum absorption for Pb was achieved by culture 6 in the following percentages: 79.8%, 70.48%, 89.48%, and 83.39%, respectively. The maximum absorption of the same concentration of Cd was achieved by culture 9 with the following percentages: 69.2%, 32.24%, 44.98%, and 60.0%, respectively. After 3 wk of incubation, the estimated absorption of both heavy metals was achieved by the same cultures (6 and 9), respectively, in the following percentages: 86.8%, 76.72%, 96.25%, and 96.0% for Pb and 82.60%, 93.2%, 92.74%, and 89.79% for Cd. The accumulation of the absorbed metals was found to be maximum in the protoplast of all the cultures. The accumulation at the cell wall was maximum in culture 2, and between the cell wall and the plasma membrane, it was maximum in cultures 2 and 8 for Pb and Cd, respectively.

Snails are used as biological indicators of the environment pollution for heavy metals. Living snail samples were collected from different sites at the city of Irbid-Jordan and classified according to their morphological features including Helix pelasga, Eobania vermiculata, Xeropicta derbentina, Oychilus, Xerocrassa seetzenii, Xerocrassa simulata, and Pila. Zn, Cd, As, Cu, Pb, and Fe levels were measured by inductively coupled plasma-optical emission spectroscopy. Results indicated that metal concentrations in all snail shell samples were with an average and range for Zn 22.4 (6.5-105.5) μg g(-1), Cd 7.8 (0.4-48.1) μg g(-1), As 25.9 (0.7-248.5) μg g(-1), Cu 15.1 (1.6-69.0) μg g(-1), Pb 0.4 (0.2-1.7) μg g(-1), and Fe 119.6 (14.0-1102.0) μg g(-1), whereas, in soil samples, the average and range for Zn 204.0 (12.0-709.0) μg g(-1), Cd 5.7 (0.2-39.5) μg g(-1), As 3.2 (1.8-5.2) μg g(-1), Cu 22.1 (2.3-77.4) μg g(-1), Pb 0.2 (0.1-0.3) μg g(-1), and Fe 242.4 (25.0-680.0) μg g(-1).