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Objective: To investigate the immunomodulatory effect of pachymaran on cyclosporine A (CsA)-induced lung injury in mice. Methods: (i) Fifty male BALB/c mice were randomly divided into five groups (10 mice in each group): normal control (NC) group, 30, 45, and 60 mg/kg CsA groups, and lipopolysaccharide (LPS) group. Except for the NC group, other groups underwent CsA modeling. The NC group was treated with phosphate-buffered saline (PBS), the LPS group with 10 mg/kg LPS eight hours before mice euthanized, and the 30, 45, and 60 mg/kg CsA groups with corresponding doses of CsA for seven consecutive days. After treatment, the body and organ mass of each group were weighed, and the lung, thymus, and spleen indexes were calculated. Hematoxylin-Eosin (HE) staining was performed to observe histopathological changes in the lungs of the mice. The protein expression levels of interleukin (IL)-2 and IL-1β in the blood were detected using enzyme-linked immunosorbent assay (ELISA), and those of surfactant protein D (SP-D), IL-2, and IL-6 in lung tissues were detected by immunohistochemistry (IHC). The mRNA expression levels of SP-D, IL-1β, IL-6, and myeloperoxidase (MPO) in the lung tissues were detected by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). (ii) Another 60 BALB/c mice were divided into six groups (10 mice in each group) : NC group, model control (MC) group, 50, 100, and 200 mg/kg pachymaran groups, and polyinosinic-polycytidylic acid [poly(I:C)] group. Except for the NC group, other groups underwent 45 mg/kg CsA modeling. The NC and MC groups were treated with distilled water, the pachymaran groups with corresponding doses pachymaran, and the poly(I:C) group with 0.1 mg/kg poly(I:C) for seven days.The mice were euthanized to obtain tissues and serum for detection. Detection methods were identical to those described in (i) above. Results: (i) CsA (30 mg/kg) increased the lung index of mice (P < 0.001), and decreased the spleen index (P < 0.01), thymus index (P < 0.05), and the serum level of IL-2 (P < 0.05). CsA (45 mg/kg) decreased the spleen, thymus indexes, and the serum level of IL-2 (P < 0.01) in mice, and increased the serum level of IL-1β (P < 0.05) and the protein level of lung SP-D (P

Carbon fibre smart concrete is not only a promising type of structural materials, but also has prospective applications in fields that have special functional requirements. Here, the carbon fibre smart concrete was prepared by the extrusion moulding technique, and the resistivity, pressure-sensitive and temperature-sensitive characteristics were discussed as well as the freezing-thawing properties. The results show that the total porosity of the smart concrete decreases when the carbon fibre was added into a cement matrix, which is 15.72% in the case when carbon fibre content is 1.0 wt.%. The resistivity of the smart concrete decreases quickly with the addition of carbon fibre, which gradually decreases with an increasing temperature and then gradually increases, and the critical transition temperature zone is in the range of 100-130 °C. The compressive and flexural strengths of the smart concrete are the highest when the carbon fibre content is 0.6 wt.%. The rate of change of the resistivity shows an obvious linear response under cyclic loading effects. The freeze-thaw resistance ability of the smart concrete with the addition of carbon fibres is better than that without carbon fibres, and the compressive strength reaches the highest level when the carbon fibre mass fraction is 0.6 wt.%, which indicates that a suitable amount of carbon fibres can effectively restrict the damage to smart concrete induced by temperature stress.

Short tandem repeats (STRs) are the most common genetic markers in forensic and human population genetics due to their high polymorphism, rapid detection, and reliable genotyping. To adapt the rapid growth of forensic DNA database and solve problems in disputed cases, a panel of 23 autosomal STR loci with high discriminating ability was constructed recently. The Tai-Kadai-speaking Gelao is the most ancient indigenous minority in Guizhou province, however, the forensic efficiency and population genetic structure remain poorly explored. Here, 490 Guizhou Gelao individuals from Southwest China were genotyped with the panel of 23 STRs using the Huaxia Platinum Kit. A total of 265 alleles were screened. The combined discrimination power and the combined probability of paternity were 0.9999 and 0.9999, respectively. This indicated the 23 loci had higher discrimination power in Guizhou Gelao and could be applied to forensic practice. Comprehensive population structures with reference populations from China and abroad using the neighbour-joining phylogenetic tree (N-J tree), multidimensional scaling, principal component analysis and heatmap demonstrated that Guizhou Gelao was genetically closer to Guizhou Han than other populations. Moreover, our results showed that a complex phylogenetic model was influenced by ethnic, geographic, and linguistic factors. Key points The first batch of genetic data for 23 autosomal STRs in 490 Geolao individuals from Guizhou was provided. The 23 STR panel can afford high genetic polymorphisms and discrimination power and can be efficiently applied to forensic practice in Guizhou Gelao population. A complex phylogenetic model influenced by ethnic, geographic, and linguistic factors was uncovered. [ABSTRACT FROM AUTHOR]

Short tandem repeats (STR) are highly polymorphic DNA markers utilised in forensic personal identification and human population genetic research. Guizhou Tujia is one of the ancient minority groups in southwest China, however, the population has not been studied using the highly discriminating 23 STR Huaxia Platinum Kit. To obtain genetic data from 23 autosomal STRs in Guizhou Tujia and examine the population's relationship with others. A total of 480 individuals from the Guizhou Tujia population were analysed using 23 STR loci of Huaxia Platinum Kit. Allele frequencies and forensic parameters were estimated. Population genetic relationships were calculated by Nei's genetic distances and visualised using a variety of biostatistical methods. A total of 264 alleles were found, with allelic frequencies ranging from 0.0010 to 0.5104. The combined discrimination power (CDP) and the combined probability of paternity (CPE) of 23 STR loci were 0.9999999999999999999999999996 and 0.999999999710422, respectively. Guizhou Tujia showed closer genetic relationships with Hubei Tujia, Guizhou Gelao, and Guizhou Miao than with other populations. We first obtained the population genetic data of Guizhou Tujia using the 23 STR system and demonstrated its value in forensic applications. Comprehensive population comparisons showed an evident genetic affinity pattern between populations that are geographically, ethnically and linguistically related. [ABSTRACT FROM AUTHOR]

The complete mitochondrial genome of Sinibotia superciliaris was determined in this study. It contained 13 protein-coding genes (PCGs), 22 tRNA, 2 rRNAs, and a control region with the base composition 31.57% A, 27.18% C, 25.52% T, and 15.74% G. Here we compared this newly determined mitogenome with another one from the same species reported before. The variable sites and the genetic distances between the two mitogenomes were 20 bp and 0.1%. 15 variable sites were occurred in the PCGs. The results from the phylogenetic analysis showed that the genus Sinibotia is a monophyletic group and S. superciliaris demonstrate a sister relationship with Sinibotia pulchra. [ABSTRACT FROM AUTHOR]

The skin microbiome plays a pivotal role in human health by providing protective and functional benefits. Furthermore, its inherent stability and individual specificity present novel forensic applications. These aspects have sparked considerable research enthusiasm among scholars across various fields. However, the selection of specific 16S rRNA hypervariable regions for skin microbiome studies is not standardized and should be validated through extensive research tailored to different research objectives and targeted bacterial taxa. Notably, third-generation sequencing (TGS) technology leverages the full discriminatory power of the 16S gene and enables more detailed and accurate microbial community analyses. Here, we conducted full-length 16S sequencing of 141 skin microbiota samples from multiple human anatomical sites using the PacBio platform. Based on this data, we generated derived 16S sub-region data through an in silico experiment. Comparisons between the 16S full-length and the derived variable region data revealed that the former can provide superior taxonomic resolution. However, even with full 16S gene sequencing, limitations arise in achieving 100% taxonomic resolution at the species level for skin samples. Additionally, the capability to resolve high-abundance bacteria (TOP30) at the genus level remains generally consistent across different 16S variable regions. Furthermore, the V1-V3 region offers a resolution comparable with that of full-length 16S sequences, in comparison to other hypervariable regions studied. In summary, while acknowledging the benefits of full-length 16S gene analysis, we propose the targeting of specific sub-regions as a practical choice for skin microbial research, especially when balancing the accuracy of taxonomic classification with limited sequencing resources, such as the availability of only short-read sequencing or insufficient DNA.IMPORTANCESkin acts as the primary barrier to human health. Considering the different microenvironments, microbial research should be conducted separately for different skin regions. Third-generation sequencing (TGS) technology can make full use of the discriminatory power of the full-length 16S gene. However, 16S sub-regions are widely used, particularly when faced with limited sequencing resources including the availability of only short-read sequencing and insufficient DNA. Comparing the 16S full-length and the derived variable region data from five different human skin sites, we confirmed the superiority of the V1-V3 region in skin microbiota analysis. We propose the targeting of specific sub-regions as a practical choice for microbial research., Competing Interests: The authors declare no conflict of interest.