Publications by authors named "Le Chai"

Objective: By comparing with traditional L-shaped plate, to explore the effectiveness of new Pilon plate in the treatment of type C Pilon fracture.

Methods: A clinical data of 57 patients with type C Pilon fractures who met the selection criteria between May 2018 and January 2020 was analyzed retrospectively. Thirty-two patients were treated with new Pilon plate (trial group) and 25 patients with traditional L-shaped plate (control group).

View Article and Find Full Text PDF

Verruca vulgaris, also known as common warts, is most often seen on the skin of hands and feet. Human papilloma virus (HPV) plays an aetiological role in the development of this lesion. Oral verruca vulgaris (OVV) may occur on the palate, buccal mucosa, and tongue.

View Article and Find Full Text PDF

Objective: To choose the disease-causing gene in a Chinese pedigree with ankylosing spondylitis (AS) by whole-exome sequencing (WES), and provide theory basis for mechanism of disease.

Methods: Clinical data of AS pedigree were collected, including 2 males, the age were 48 and 18 years old, the course of disease were 23 and 4 years. Whole blood genomic DNA of AS was extracted to perform whole exome sequencing, the results were compared with human databases, common variations which had been reported were wiped out, then non synonymous single nucleotide variants(SNVs) from the family members were combined, and candidate genes was selected initially.

View Article and Find Full Text PDF

Objective: To explore the clinical effects of acupuncture with elongated needle on urinary retention after spinal cord injury.

Methods: A total of 66 patients with urinary retention after spinal cord injury were randomized into an elongated needle group (34 cases) and a filiform needle group (32 cases). In both of the groups, the routine orthopedic treatment and the bladder function training were adopted.

View Article and Find Full Text PDF

Objective: To construct bone morphogenetic protein 2 (BMP-2) gelatin/chitosan hydrogel sustained-release system, co-implant with induced pluripotent stem cells (iPS) derived mesenchymal stem cells (MSCs) to hydroxyapatite (HA)/zirconium dioxide (ZrO ) bio porous ceramic foam, co-culture , and to explore the effect of sustained-release system on osteogenic differentiation of iPS-MSCs.

Methods: BMP-2 gelatin/chitosan hydrogel microspheres were prepared by water-in-oil solution. Drug encapsulation efficiency, drug loading, and sustained release rate of the microspheres were tested.

View Article and Find Full Text PDF

Microbial strains optimization for the overproduction of desired phenotype has been a popular topic in recent years. The strains can be optimized through several techniques in the field of genetic engineering. Gene knockout is a genetic engineering technique that can engineer the metabolism of microbial cells with the objective to obtain desirable phenotypes.

View Article and Find Full Text PDF

Background: Gene expression data often contain missing expression values. Therefore, several imputation methods have been applied to solve the missing values, which include k-nearest neighbour (kNN), local least squares (LLS), and Bayesian principal component analysis (BPCA). However, the effects of these imputation methods on the modelling of gene regulatory networks from gene expression data have rarely been investigated and analysed using a dynamic Bayesian network (DBN).

View Article and Find Full Text PDF

Many biological research areas such as drug design require gene regulatory networks to provide clear insight and understanding of the cellular process in living cells. This is because interactions among the genes and their products play an important role in many molecular processes. A gene regulatory network can act as a blueprint for the researchers to observe the relationships among genes.

View Article and Find Full Text PDF

Microbial strain optimization focuses on improving technological properties of the strain of microorganisms. However, the complexities of the metabolic networks, which lead to data ambiguity, often cause genetic modification on the desirable phenotypes difficult to predict. Furthermore, vast number of reactions in cellular metabolism lead to the combinatorial problem in obtaining optimal gene deletion strategy.

View Article and Find Full Text PDF