Dissecting contributions of representative heavy metal components in PM2.5 to its cytotoxicity.

PM2.5 is a complex pollutant that is a pervasive threat to human health. The health risks and toxicity mechanisms of PM2.5 components must be identified to alleviate the corresponding risks. In this study, a reductionism approach based on model PM2.5 particles was used to investigate the contributions of the most harmful components in PM2.5 to its toxicity. Human liver and kidney cells were used as models. The results showed that Cr(VI) was the most critical toxic component among other components (Pb, As, and benzo[a]pyrene) in human liver and kidney cells. PM2.5-Cr(VI) induced oxidative stress, which led to cytotoxicity by inducing cell cycle arrest in the S-phase in HepG2 and HEK293 cells. The presented findings can provide valuable insights into the toxicity levels of PM2.5 components, which can help clarify the potential health risks from PM2.5 exposure.

Application of Cameriere's method for dental age estimation in children in South China.

The aim of this study was to evaluate the applicability of Cameriere's European formula for age estimation in children in South China and to adapt the formula to establish a more suitable formula for these children. Moreover, the performance of dental age estimation based on Cameriere's method combining the developmental information of permanent teeth (PT) and third molar (TM) was also analysed. Orthopantomographs of 720 healthy children in Group A, and orthopantomographs of 320 children and 280 subadults in Group B were assessed. The samples of Group A were divided into training dataset 1 and test dataset 1, and the samples of Group B were also divided into training dataset 2 and test dataset 2. A South China-specific formula was established based on the training dataset 1, and the comparison of accuracy between the Cameriere's European formula and the South China-specific formula was conducted with the test dataset 1. Additionally, a PT regression model, a TM regression model, and a combined regression model (PT + TM) were established based on the training dataset 2, and the performance of these three models were validated on the test dataset 2. The Cameriere's European formula underestimated chronological age with a mean difference (ME) of -0.47 ± 1.11 years in males and -0.69 ± 1.19 years in females. However, the South China-specific formula underestimated chronological age, with a mean difference (ME) of -0.02 ± 0.71 years in males and -0.14 ± 0.73 years in females. Compared with PT model and TM model, the PT and TM combined model obtained the smallest root mean square error (RMSE) of 1.29 years in males and 0.93 years in females. In conclusion, the South China-specific formula was more suitable for assessing the dental age of children in South China, and the PT and TM combined model can improve the accuracy of dental age estimation in children.Key pointsOrthopantomographs of 720 healthy children in Group A, and orthopantomographs of 320 children and 280 subadults in Group B were assessed.A South China-specific formula was established based on the training dataset 1, and the comparison of accuracy between the Cameriere's European formula and the South China-specific formula was conducted with the test dataset 1.A PT regression model, a TM regression model, and a combined regression model (PT + TM) were established based on the training dataset 2, and the performance of these three models were validated on the test dataset 2.The South China-specific formula was more suitable for assessing the dental age of children in South China, and the PT and TM combined model can improve the accuracy of dental age estimation in children.

Considering the flanking region variants of nonbinary SNP and phenotype-informative SNP to constitute 30 microhaplotype loci for increasing the discriminative ability of forensic applications.

The flanking region variants of nonbinary SNPs and phenotype-informative SNPs (piSNPs) have been observed, which may greatly improve the discriminative ability after constituting microhaplotype. In this study, 30 microhaplotype loci based on the nonbinary SNPs and piSNPs (shown to be related to phenotypes such as hair and eye color) were selected. Genotyping were conducted on 100 unrelated northern Han Chinese, and the 26 populations from the 1000 Genome Project were also included for comparison of populations differentiation. The simulated study was conducted for evaluating the efficiency of kinship testing. These 30 microhaplotype loci we selected had good polymorphism, with a mean effective number of alleles (Ae) of 3.46. The average Ae increase was 1.27 compared with the target SNPs. The populations from the five regions worldwide could also be distinguished using these loci. The results of kinship testing showed that these microhaplotype loci had the similar ability as 15 STR loci of AmpFlSTRR IdentifilerR PCR Amplification Kit to identify the biological parent and a stronger ability to exclude the nonbiological parents. So, these 30 microhaplotype loci may be multifunctional for forensic application, including the ability of personal identification and kinship testing equivalent to 15 STR loci, and the power of ancestry inference for distinguishing the main intercontinental population. Moreover, our selected phenotypic microhaplotype loci may theoretically have phenotype prediction capabilities. But the phenotype prediction efficiency of these phenotypic microhaplotype loci may be worse than that of piSNPs and the detailed prediction accuracy of different populations needs to be further studied.

Construction and forensic application of 20 highly polymorphic microhaplotypes.

Microhaplotype markers have become an important research focus in forensic genetics. However, many reported microhaplotype markers have limited polymorphisms. In this study, we developed a set of highly polymorphic microhaplotype markers based on tri-allelic single-nucleotide polymorphisms. Eleven newly discovered microhaplotypes along with nine previously identified in our laboratory were studied. The microhaplotype genotypes of unrelated individuals and familial samples were generated on the MiSeq PE300 platform. These 20 loci have an average greater than 3.5 effective number of alleles. Over the whole set, the cumulative power of discrimination was 1-3.3 × 10-18, the cumulative power of exclusion was 1-1.928 × 10-7 and the theoretical probability of detecting a mixture was 1-1.427 × 10-6. Differentiation comparisons of 26 populations from the 1000 Genomes Project distinguished among East Asian, South Asian, African and European populations. Overall, these markers enrich the current microhaplotype marker databases and can be applied for individual identification, paternity testing and biogeographic ancestry distinction.

Genetic characterization of 19 X-STRs in Sierra Leone population from Freetown.

A total of 550 individuals (265 males and 285 females) from Sierra Leone, a west-African coastal country, were genotyped using the Microreader™ 19X ID System kit. No significant deviations from the Hardy-Weinberg equilibrium were observed. A total of 250 alleles were identified with corresponding allele frequencies spanning from 0.0012 to 0.6762. PIC of the loci ranged from 0.4615 to 0.9481. The CPE, CPDF, and CPDM were 0.9999997856, 0.999999999999999999995774, and 0.999999999998997, respectively. The highly combined MECKruger, MECKishida, MECDesmarais, and MECDesmarais Duo were achieved as 0.99999992508, 0.999999999990802, 0.999999999990836, and 0.99999998412, respectively. Genetic comparisons revealed that genetic homogeneity existed in similar ethno origin or geographic origin populations. This is a pioneering genetic investigation using the Microreader™ 19X ID System kit in the population of Sierra Leone.