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BackgroundDystrophic epidermolysis bullosa (DEB) is an incurable and inherited skin disorder mainly caused by mutations in the gene encoding type VII collagen (COL7A1). The purpose of this study was to identify the causative genetic variants and further perform genetic diagnosis in a Chinese family affected by DEB.MethodsHigh-throughput sequencing was performed to analyze the genetic skin disorder-related genes of parents of the proband, and the variants were further confirmed in the other members by Sanger sequencing. Sanger sequencing, karyotype analysis, and chromosomal microarray analysis (CMA) were used together for prenatal diagnosis after the second pregnancy. The phenotype of the fetus was tracked after the diagnosis and induction of labor. Moreover, skin and muscle pathological examination and whole-exome sequencing (WES) of the skin and muscle tissue of the induced fetus were performed.ResultsHere, we determined two heterozygous variants of the COL7A1 gene that contributed to the autosomal recessive DEB (RDEB) in the family, i.e., a novel pathogenic variant (c.8335G > T, p.E2779*) and a likely pathogenic variant (c.7957G > A, p.G2653R). Sanger sequencing of amniotic fluid cells showed that the fetus carried the above two compound heterozygous variants, and the karyotype analysis and CMA results showed no abnormality. The clinical phenotype and pathological results of the induced fetus were consistent with the characteristics of DEB. Further, WES analysis also confirmed a novel compound heterozygous variation in COL7A1, consisting of two variants, namely, c.8335G > T and c.7957G > A in the fetus.ConclusionThis study expands the spectrum of disease-causing variants of COL7A1 and provides a theoretical basis for diagnosis, genetic counseling, and prognosis of families affected by RDEB

PurposeAbnormal CLEC9A expression is concerned with carcinogenesis. However, the role of CLEC9A in lung adenocarcinoma (LUAD) remains unknown. The goal of this study was to reveal the role of CLEC9A in LUAD based on bioinformatics and cellular functional experiments.Materials and methodsData available from The Cancer Genome Atlas (TCGA) were employed to study CLEC9A expression and mutations in LUAD. Expression and alterations of CLEC9A were analyzed using UALCAN and cBioPortal, respectively. Kaplan–Meier analysis was used to analyze the effect of CLEC9A on the survival of LUAD. Protein–protein interaction (PPI) network was built using GeneMANIA analysis. The similar genes of CLEC9A were obtained using GEPIA analysis, while co-expression genes correlated with CLEC9A were identified using LinkedOmics analysis. The effects of CLEC9A expression on immune cell infiltration was assessed. The effect of CLEC9A on the proliferation, apoptosis, cell cycle distribution, and invasion of human LUAD cells was detected in the LUAD cell line.ResultsCLEC9A was downregulated and the CLEC9A gene was often altered in LUAD. The survival of LUAD patients was correlated with the expression level of CLEC9A. The similar genes of CLEC9A were linked to functional networks involving positive regulation of interleukin-12 production, plasma membrane and CD40 receptor binding, primary immunodeficiency, intestinal immune network for IgA production, and cell adhesion molecules pathways. Cell cycle, apoptosis, EMT, and RAS/MAPK were significantly enriched pathways in positive and negative correlation genes with CLEC9A. A difference in the immune infiltration level of immune cell between the high and low CLEC9A expression groups was observed. Somatic cell copy number alternations (CNAs) of the CLEC9A, including arm-level gain and arm-level deletion, observably changed the infiltration levels of B cells, CD4+ T cells, macrophages, and neutrophils in LUAD. Except for LAG3, the expression of CD274, CTLA4, PDCD1, and TIGIT was positively correlated with the expression level of CLEC9A. After transfection, overexpression and knockdown of CLEC9A could affect the proliferation, apoptosis, cell cycle distribution, and invasion of LUAD cells.ConclusionCLEC9A is associated with prognosis and tumor immune microenvironment of LUAD, suggesting that CLEC9A may be considered as a novel biomarker for LUAD.

Abstract Heart disease is the world’s leading cause of death. Diagnostic models based on electrocardiograms (ECGs) are often limited by the scarcity of high-quality data and issues of data imbalance. To address these challenges, we propose a conditional generative adversarial network (CECG-GAN). This strategy enables the generation of samples that closely approximate the distribution of ECG data. Additionally, CECG-GAN addresses waveform jitter, slow processing speeds, and dataset imbalance issues through the integration of a transformer architecture. We evaluated this approach using two datasets: MIT-BIH and CSPC2020. The experimental results demonstrate that CECG-GAN achieves outstanding performance metrics. Notably, the percentage root mean square difference (PRD) reached 55.048, indicating a high degree of similarity between generated and actual ECG waveforms. Additionally, the Fréchet distance (FD) was approximately 1.139, the root mean square error (RMSE) registered at 0.232, and the mean absolute error (MAE) was recorded at 0.166.

Lichen natural products are a tremendous source of new bioactive chemical entities for drug discovery. The ability to survive in harsh conditions can be directly correlated with the production of some unique lichen metabolites. Despite the potential applications, these unique metabolites have been underutilized by pharmaceutical and agrochemical industries due to their slow growth, low biomass availability, and technical challenges involved in their artificial cultivation. At the same time, DNA sequence data have revealed that the number of encoded biosynthetic gene clusters in a lichen is much higher than in natural products, and the majority of them are silent or poorly expressed. To meet these challenges, the one strain many compounds (OSMAC) strategy, as a comprehensive and powerful tool, has been developed to stimulate the activation of silent or cryptic biosynthetic gene clusters and exploit interesting lichen compounds for industrial applications. Furthermore, the development of molecular network techniques, modern bioinformatics, and genetic tools is opening up a new opportunity for the mining, modification, and production of lichen metabolites, rather than merely using traditional separation and purification techniques to obtain small amounts of chemical compounds. Heterologous expressed lichen-derived biosynthetic gene clusters in a cultivatable host offer a promising means for a sustainable supply of specialized metabolites. In this review, we summarized the known lichen bioactive metabolites and highlighted the application of OSMAC, molecular network, and genome mining-based strategies in lichen-forming fungi for the discovery of new cryptic lichen compounds.

Resveratrol (RES), a polyphenolic compound present in grapes and red wine, has potential anticancer properties. The present study aimed to examine the effects of resveratrol and its underlying mechanism on hepatocellular carcinoma (HCC) cell lines HepG2, Bel-7402 and SMMC-7721. It was demonstrated that resveratrol inhibited the viability and proliferation of HCC cells assessed by MTT and EdU assays. TUNEL assay revealed that resveratrol induced cell apoptosis by increasing HCC apoptosis rate from 3±0.78% to 16±1.12% with upregulation of B-cell lymphoma (Bcl)-2 associated X, apoptosis regulator and cleaved-poly (ADP-Ribose) polymerase 1 (PARP), and downregulation of Bcl-2, caspase-3, caspase-7 and PARP. As a sirtuin (SIRT) 1 activator, resveratrol elevated SIRT1 protein expression and its enzyme activity and decreased expression levels of phosphorylated (p)-phosphoinositide-3-kinase (PI3K), p-AKT Serine/Threonine Kinase 1 (AKT), and its downstream target p-Forkhead Box O3a in HepG2 cells. Furthermore, inhibition of SIRT1 enzymatic activity by EX527 resulted in increased phosphorylation levels of PI3K and AKT. This demonstrated that resveratrol inhibited the PI3K/AKT pathway by SIRT1 activation. In addition to inhibition of cancer cell migration, tumor suppressor gene DLC1 Rho GTPase activating protein level was upregulated and its phosphorylation was enhanced by AKT with resveratrol treatment. These findings suggested that resveratrol inhibits proliferation and migration through SIRT1 mediated post-translational modification of PI3K/AKT pathway in HCC cells. [ABSTRACT FROM AUTHOR]

Abstract Background Epidemiological studies have shown increased risk of suicide in cancer patients compared with the general population. The present study aimed to examine the association between physical symptoms and suicidal ideation in Chinese hospitalized cancer patients and test the modifying effect of health self-efficacy on the association. Methods A cross-sectional study was conducted with 544 hospitalized cancer patients in two general hospitals in northeast China via face-to-face interviews. Suicidal ideation was measured by using the first four items on the Yale Evaluation of Suicidality scale and then dichotomized into a positive and negative score. Multivariate logistic regression analyses were conducted to examine the impacts of physical symptoms, health self-efficacy, and their interactions on suicidal ideation. Results The suicidal ideation rate was 26.3% in the enrolled cancer patients. Logistic regression showed that insomnia (aOR = 1.84, 95% CI 1.13 to 3.00, p = 0.015) and lack of appetite (aOR = 2.14, 95% CI 1.26 to 3.64, p = 0.005) were significantly associated with suicidal ideation. Low health self-efficacy had a marginally significant exaggerating effect on the association between pain and suicidal ideation (aOR = 2.77, 95% CI 0.99 to 7.74, p = 0.053), after adjusting for significant socio-demographics, clinical characteristics, and depression. Conclusions These findings demonstrate significant associations between physical symptoms (insomnia and/or lack of appetite) and suicidal ideation and highlight the potential modifying role of health self-efficacy in the identification and prevention of suicide among cancer patients.

The so-called digital control power source, also referred to as a "loop inside the processor" refers to the system controller can execute the control algorithm in the digital domain. It is necessary to compare the two to produce strings of digital pulse width to drive the power switch, but instead of using a conventional analog PWM comparator. It will all analog system parameters into a digital signal in the digital domain and using the data to calculate the control response, and the newly generated control information is transmitted to the system increases. By digitally controlled analog circuits can greatly reduce system cost and power consumption. In addition, many microcontroller and DSP have been included in the PWM controller chip, which allows the realization of the digital control has become easier.