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Yuhang Liu

Publications and source records attributed to Yuhang Liu.

2 recordsLinked to original sources

The Inflammation-Thrombosis Genetic Axis in Abdominal Aortic Aneurysm: A Shared Roadmap to Precision Medicine.

Abdominal Aortic Aneurysm (AAA) is characterized by persistent inflammation, extracellular matrix loss, and intraluminal thrombus formation, yet the genetic links among these processes remain incompletely defined. Here, we examine evidence that genetic variation can influence inflammatory and thrombotic responses at the same time. Findings from genome-wide association studies are considered alongside transcriptomic, proteomic, single-cell, epigenetic, and experimental data. Particular attention is given to candidate genes and signaling networks relevant to AAA susceptibility, enlargement, and rupture. The available evidence supports a model in which inherited susceptibility alters the balance between vascular inflammation, coagulation, fibrinolysis, and wall repair. However, many reported loci still lack functional confirmation, and most genetic data come from populations of European ancestry. Defining the causal variants and the cells in which they act will be necessary before these findings can be used for individualized screening or treatment.

abdominal aortic aneurysm

Conservation genomics of a threatened subtropical Rhododendron species highlights the distinct conservation actions required in marginal and admixed populations.

With the impact of climate change and anthropogenic activities, the underlying threats facing populations with different evolutionary histories and distributions, and the associated conservation strategies necessary to ensure their survival, may vary within a species. This is particularly true for marginal populations and/or those showing admixture. Here, we re-sequence genomes of 102 individuals from 21 locations for Rhododendron vialii, a threatened species distributed in the subtropical forests of southwestern China that has suffered from habitat fragmentation due to deforestation. Population structure results revealed that R. vialii can be divided into five genetic lineages using neutral single-nucleotide polymorphisms (SNPs), whereas selected SNPs divide the species into six lineages. This is due to the Guigu (GG) population, which is identified as admixed using neutral SNPs, but is assigned to a distinct genetic cluster using non-neutral loci. R. vialii has experienced multiple genetic bottlenecks, and different demographic histories have been suggested among populations. Ecological niche modeling combined with genomic offset analysis suggests that the marginal population (Northeast, NE) harboring the highest genetic diversity is likely to have the highest risk of maladaptation in the future. The marginal population therefore needs urgent ex situ conservation in areas where the influence of future climate change is predicted to be well buffered. Alternatively, the GG population may have the potential for local adaptation, and will need in situ conservation. The Puer population, which carries the heaviest genetic load, needs genetic rescue. Our findings highlight how population genomics, genomic offset analysis, and ecological niche modeling can be integrated to inform targeted conservation.

Rhododendron