A Rare Case of Multiple Scar Contractures after Burn Injury

A nine-year-old girl sustained extreme postburn contractures of the face, neck, both axillae, elbows, wrists, and ankles, due to flame injury 5 years ago. No primary and plastic surgical burn treatment was available in a remote area of China. From October, 2005 to April, 2007, all adhesions were released in five operations and the huge defects covered with local musculo-cutaneous flaps, z-plasties, and with thick split skin gafts. This led to an optimal functional result and an aesthetic restoration of the face, giving her, back her self-esteem in daily life.

Genome-wide DNA methylation landscape of four Chinese populations and epigenetic variation linked to Tibetan high-altitude adaptation

DNA methylation(DNAm)is one of the major epigenetic mechanisms in humans and is important in diverse cellular processes.The variation of DNAm in the human population is related to both genetic and environmental factors.However,the DNAm profiles have not been investigated in the Chinese population of diverse ethnicities.Here,we performed double-strand bisulfite sequencing(DSBS)for 32 Chinese individuals representing four major ethnic groups including Han Chinese,Tibetan,Zhuang,and Mongolian.We identified a total of 604,649 SNPs and quantified DNAm at more than 14 million Cp Gs in the population.We found global DNAm-based epigenetic structure is different from the genetic structure of the population,and ethnic difference only partially explains the variation of DNAm.Surprisingly,non-ethnic-specific DNAm variations showed stronger correlation with the global genetic divergence than these ethnic-specific DNAm.Differentially methylated regions(DMRs)among these ethnic groups were found around genes in diverse biological processes.Especially,these DMR-genes between Tibetan and nonTibetans were enriched around high-altitude genes including EPAS1 and EGLN1,suggesting DNAm alteration plays an important role in high-altitude adaptation.Our results provide the first batch of epigenetic maps for Chinese populations and the first evidence of the association of epigenetic changes with Tibetans'high-altitude adaptation.

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Previous studies have revealed that patients with hypertrophic cardiomyopathy(HCM)exhibit differences in symptom severity and prognosis,indicating potential HCM subtypes among these patients.Here,793 patients with HCM were recruited at an average follow-up of 32.78±27.58 months to identify potential HCM subtypes by performing consensus clustering on the basis of their echocardiography features.Furthermore,we proposed a systematic method for illustrating the relationship between the phenotype and genotype of each HCM subtype by using machine learning modeling and interactome network detection techniques based on whole-exome sequencing data.Another independent cohort that consisted of 414 patients with HCM was recruited to replicate the findings.Consequently,two subtypes characterized by different clinical outcomes were identified in HCM.Patients with subtype 2 presented asymmetric septal hypertrophy associated with a stable course,while those with subtype 1 displayed left ventricular systolic dysfunction and aggressive progression.Machine learning modeling based on personal whole-exome data identified 46 genes with mutation burden that could accurately predict subtype propensities.Furthermore,the patients in another cohort predicted as subtype 1 by the 46-gene model presented increased left ventricular end-diastolic diameter and reduced left ventricular ejection fraction.By employing echocardiography and genetic screening for the 46 genes,HCM can be classified into two subtypes with distinct clinical outcomes.

Differential regulation of JAK1 expression by ETS1 associated with predisposition to primary biliary cholangitis

Primary biliary cholangitis(PBC)is an autoimmune liver disease characterized by the destruction of intrahepatic small bile ducts and progressive cholestasis,eventually leading to liver cirrhosis and hepatic failure without appropriate treatment(Terziroli Beretta-Piccoli et al.,2019).

Prevalence of Autism Spectrum Disorder in China:A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years

This study aimed to obtain the first national estimate of the prevalence of autism spectrum disorder(ASD) in Chinese children.We targeted the population of 6 to 12-year-old children for this prevalence study by multistage convenient cluster sampling.The Modified Chinese Autism Spectrum Rating Scale was used for the screening process.Of the target population of 142,086 children,88.5%(n=125,806) participated in the study.A total of 363 children were confirmed as having ASD.The observed ASD prevalence rate was 0.29%(95% CI:0.26%-0.32%) for the overall population.After adjustment for response rates,the estimated number of ASD cases was867 in the target population sample,thereby achieving an estimated prevalence of 0.70%(95% CI:0.64%-0.74%).The prevalence was significantly higher in boys than in girls(0.95%;95% CI:0.87%-1.02% versus 0.30%;95%CI:0.26%-0.34%;P <0.001).Of the 363 confirmed ASD cases,43.3% were newly diagnosed,and most of those(90.4%) were attending regular schools,and 68.8% of the children with ASD had at least one neuropsychiatric comorbidity.Our findings provide reliable data on the estimated ASD prevalence and comorbidities in Chinese children.

Single-Cell Sequencing Technologies: Current and Future

Intensively developed in the last few years, single-cell sequencing technologies now present numerous advantages over traditional sequencing methods for solving the problems of biological heterogeneity and low quantities of available biological materials. The application of single-cell sequencing technologies has profoundly changed our understanding of a series of biological phenomena, including gene transcription, embryo development, and carcinogenesis. However, before single-cell sequencing technologies can be used extensively, researchers face the serious challenge of overcoming inherent issues of high amplification bias, low accuracy and repro- ducibility. Here, we simply summarize the techniques used for single-cell isolation, and review the current technologies used in single-cell genomic, transcriptomic, and epigenomic sequencing, We discuss the merits, defects, and scope of application of single-cell sequencing technologies and then speculate on the direction of future developments.

Mapping of de novo mutations in primary biliary cholangitis to a disease-specific co-expression network underlying homeostasis and metabolism

Primary biliary cholangitis(PBC) is an autoimmune disease involving dysregulation of a broad array of homeostatic and metabolic processes. Although considerable single-nucleotide polymorphisms have been unveiled, a large fraction of risk factors remains enigmatic. Candidate genes with rare mutations that tend to confer more deleterious effects need to be identified. To help pinpoint cellular and developmental mechanisms beyond common noncoding variants, we integrate whole exome sequencing with integrative network analysis to investigate genes harboring de novo mutations. Prominent convergence has been revealed on a network of disease-specific co-expression comprised of 55 genes associated with homeostasis and metabolism. The transcription factor gene MEF2 D and the DNA repair gene PARP2 are highlighted as hub genes and identified to be up-and down-regulated, respectively, in peripheral blood data set. Enrichment analysis demonstrates that altered expression of MEF2 D and PARP2 may trigger a series of molecular and cellular processes with pivotal roles in PBC pathophysiology. Our study identifies genes with de novo mutations in PBC and suggests that a subset of genes in homeostasis and metabolism tend to act in synergy through converging on co-expression network, providing novel insights into the etiology of PBC and expanding the pool of molecular candidates for discovering clinically actionable biomarkers.

Targeted sequencing and integrative analysis of 3,195 Chinese patients with neurodevelopmental disorders prioritized 26 novel candidate genes

Neurodevelopmental disorders(NDDs)are a set of complex disorders characterized by diverse and cooccurring clinical symptoms.The genetic contribution in patients with NDDs remains largely unknown.Here,we sequence 519 NDD-related genes in 3,195 Chinese probands with neurodevelopmental phenotypes and identify 2,522 putative functional mutations consisting of 137 de novo mutations(DNMs)in 86 genes and 2,385 rare inherited mutations(RIMs)with 22 X-linked hemizygotes in 13 genes,2 homozygous mutations in 2 genes and 23 compound heterozygous mutations in 10 genes.Furthermore,the DNMs of16,807 probands with NDDs are retrieved from public datasets and combine in an integrated analysis with the mutation data of our Chinese NDD probands by taking 3,582 in-house controls of Chinese origin as background.We prioritize 26 novel candidate genes.Notably,six of these genes d ITSN1,UBR3,CADM1,RYR3,FLNA,and PLXNA3 d preferably contribute to autism spectrum disorders(ASDs),as demonstrated by high co-expression and/or interaction with ASD genes confirmed via rescue experiments in a mouse model.Importantly,these genes are differentially expressed in the ASD cortex in a significant manner and involved in ASD-associated networks.Together,our study expands the genetic spectrum of Chinese NDDs,further facilitating both basic and translational research.

A Novel Approach for Identifying the Heme-Binding Proteins from Mouse Tissues

Heme is a key cofactor in aerobic life, both in eukaryotes and prokaryotes. Because of the high reactivity of ferrous protoporphyrin IX, the reactions of heme in cells are often carried out through heme-protein complexes. Traditionally studies of heme-binding proteins have been approached on a case by case basis, thus there is a limited global view of the distribution of heme-binding proteins in different cells or tissues. The procedure described here is aimed at profiling heme-binding proteins in mouse tissues sequentially by 1) purification of heme-binding proteins by heme-agarose, an affinity chromatographic resin; 2) isolation of heme-binding proteins by SDS-PAGE or two-dimensional electrophoresis; 3) identification of heme-binding proteins by mass spectrometry. In five mouse tissues, over 600 protein spots were visualized on 2DE gel stained by Commassie blue and 154 proteins were identified by MALDI-TOF, in which most proteins belong to heme related. This methodology makes it possible to globally characterize the heme-binding proteins in a biological system.