Unraveling the Molecular Landscape of Congenital Pseudoarthrosis of the Tibia: Insights from a Comprehensive Analysis of 162 Probands
Hui, H.; Haibo, M.; Huanhuan, P.; Nan, L.; Guanghui, Z.; Yu, Z.
Show abstract
Congenital pseudarthrosis of the tibia (CPT, HP:0009736), commonly known as bowing of the tibia, is a rare congenital tibia malformation characterized by spontaneous tibial fractures and the difficulty of reunion after tibial fractures during early childhood, with a very low prevalence between 1/250,000[~]1/140,000. While 80%-84% of CPT cases present with neurofibromatosis type 1, caused by the mutations in NF1, the underlying cause of CPT is still unclear. Considering the congenital nature and the low prevalence of CPT, we hypothesized that the rare genomic mutations may contribute to CPT. In this study, we conducted whole exome sequencing on 159 patients with CPT and full-length transcriptome sequencing on an additional 3 patients with CPT. The data analysis showed there were 179 significantly up-regulated genes which were enriched in 40 biological processes among which 21 biological processes hold their loss of function (LoF) excesses between 159 cases against 208 controls from 1000 Genomes Project. From those 21 biological processes with LoF excesses, there were 259 LoF-carried genes among which 40 genes with 56 LoF variations in 63 patients were enriched in osteoclast differentiation pathway (hsa04380) with its 3 directly regulated pathways including MAPK signaling pathway (hsa04010), calcium signaling pathway (hsa04020) and PI3K-Akt signaling pathway (hsa04151), as well as fluid shear stress and atherosclerosis pathway (hsa05418) while 12 patients carried 9 LoF variations in the NF1 gene. The rare LoF variations in these pathways accounted for [~]39.6% of this CPT cohort. These findings shed light on the novel genetic mutations and molecular pathways involved in CPT, providing a new framework for understanding how the genetic variations regulate the biological processes in the pathology of CPT and indicating potential next directions to further elucidate the pathogenesis of CPT.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comprehensive profiling of genomic and transcriptomic differences between risk groups of lung adenocarcinoma and lung squamous cell carcinoma 92%
- Calcium-Sensing Receptor Polymorphisms at rs1801725 are Associated with Increased Risk of Secondary Malignancies 90%
- Intersections between copper, β-arrestin-1, calcium, FBXW7, CD17, insulin resistance and atherogenicity mediate depression and anxiety due to type 2 diabetes mellitus: a nomothetic network approach 90%
Similar papers in this journal
- Metformin regulates bone marrow stromal cells to accelerate bone healing in diabetic mice 95%
- Bone canonical Wnt signaling is downregulated in type 2 diabetes and associates with higher Advanced Glycation End-products (AGEs) content and reduced bone strength 95%
- Impaired bone strength and bone microstructure in a novel early-onset osteoporotic rat model with a clinically relevant PLS3 mutation 95%
Similar papers in this journal
- Mast cells differentiated in synovial fluid and resident in osteophytes exalt the inflammatory pathology of osteoarthritis 94%
- Effects of early life stress on bone homeostasis in mice and humans 94%
- Exposure to the RXR agonist SR11237 in early life causes disturbed skeletal morphogenesis in a rat model 93%
Similar papers in this journal
- Epigenetic and transcriptional regulation of osteoclastogenesis in the pathogenesis of skeletal diseases: a protocol for a systematic review 94%
- Large-scale osteocyte lacunar morphological analysis of transiliac bone in normal and osteoporotic premenopausal women 93%
- MicroRNA levels in bone and blood change during bisphosphonate and teriparatide therapy in an animal model of postmenopausal osteoporosis 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.