Objective To investigate the association of single nucleotide polymorphisms (SNPs) of signal transducer and activator of transcription 4 (STAT4) rs7574865 and miRNA146a rs2910164 with rheumatoid arthritis (RA) in Wuling mountain area. Methods 287 RA patients and 305 age-matched healthy controls were included. The rs7574865 and rs2910164 SNPs of RA patients and control subjects were measured by multiplex PCR combined with high throughput sequencing(HI-SNP). The distributions of genotype and allele frequencies in the two groups were analyzed by the Chi-squared test, and also the relationship between these two SNPs and the risk of RA, rheumatoid factor (RF) and anti-cyclic citrullinated peptide (ACCP) antibody were investigated. Results Data showed that the genotype distribution of rs7574865 were significantly different between the cases and controls. The TT genotype and the T allele from rs7574865 were all associated with the risk of RA (OR=2.42, 95%CI: 1.37-4.28; OR=1.43, 95%CI: 1.12-1.82), and dominant and recessive models showed similar results. While, we found miRNA146a rs2910164 has no role in susceptibility to RA, and there was no statistically significant association between the SNPs of rs7574865 and rs2910164 and the level of RF or ACCP antibody. Conclusion STAT4 rs7574865 polymorphism is associated with RA, but not with RF or ACCP antibody levels in Wuling mountain area. In contrast, miRNA146a rs2910164 polymorphism is not correlated with RA.
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PeerJ
December 2024
College of Forestry, Central South University of Forestry and Technology, Changsha, Hunan, China.
In this study, experiments were conducted on soil samples collected from depths of 0-15 cm, 15-30 cm, and 30-50 cm at the National Long-term Scientific Research Base for the Comprehensive Management of Rocky Desertification in the Wuling Mountains. The aim was to determine the physicochemical indexes and explore the nature and spatial heterogeneity of the soil of the planted mixed forests within the rocky desertification area of the Wuling Mountain. Various analytical methods were employed, including descriptive statistical analysis, correlation analysis, analysis of variance, principal component analysis, spatial interpolation analysis, and kriging interpolation, to fit the optimal model of the semi-variance function of soil physicochemical properties and analyze the model's parameters.
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College of Horticulture and Gardening, Yangtze University, Jingzhou, 434025, China.
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Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, Guizhou Academy of Forestry, Guiyang 550005, China.
BMC Microbiol
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College of Biology and Environmental Sciences, Jishou University, Jishou, Hunan, China.
Endophytes play a pivotal role in protecting host plants from both biotic and abiotic stresses, promoting the production of active components (AC) and plant growth. However, the succession of the endophyte community in Eucommia ulmoides (E. ulmoides), particularly the community assembly and function, has not been extensively investigated.
View Article and Find Full Text PDFSci Rep
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School of Civil Engineering and Architecture, Jishou University, Zhangjiajie, 427000, China.
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