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Two novel heterozygous HPDL variants in a Chinese family with a neurodevelopmental disorder with progressive spasticity and brain white matter abnormalities 一个患有进行性痉挛和脑白质异常的神经发育障碍的中国家族中的两个新型杂合子HPDL变异。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-19 DOI: 10.1016/j.gene.2024.149018
Yuanxuan Ma , Guixia Li , Ling Li , Jinbao Zong , Wenmiao Liu , Ru Zhang , Shiguo Liu
Recent studies have shown that homozygous and compound heterozygous variants in the 4-hydroxyphenylpyruvate dioxygenase-like (HPDL) gene contribute to a novel early onset neurodevelopmental disorder with progressive spasticity and brain white matter abnormalities (NEDSWMA), a severe neurodevelopmental disorder characterized by impaired psychomotor development in infancy. Using whole-exome sequencing and Sanger sequencing, we identified and verified a novel compound heterozygous variant in HPDL, c.502 T > C (p.Cys278Arg)/c.833G > A (p.Gly278Asp), which may lead to lethal NEDSWMA, with individual differences in severity. We systematically summarized the clinical characteristics of the patients and their family members and analyzed the genetic characteristics such as homozygosity, conservatism, and pathogenicity of the variants by various prediction methods. Further in vitro functional experiments showed that the identified variants inhibited the proliferative capacity but not apoptosis of SH-SY5Y cells by altering HPDL expression at the mRNA and protein levels and negatively affecting endogenous CoQ10 secretion. Our study further contributes to the assessment of genotype-phenotype correlations, and firstly provides new insights for elucidating specific pathogenesis mechanisms and identifying precision-targeted therapies.
最近的研究表明,4-羟基苯基丙酮酸二氧酶样(HPDL)基因中的同源和复合杂合变异导致了一种新型早发性神经发育障碍伴进行性痉挛和脑白质异常(NEDSWMA),这是一种以婴儿期精神运动发育受损为特征的严重神经发育障碍。通过全外显子组测序和桑格测序,我们发现并验证了 HPDL 中的一个新型复合杂合变异,即 c.502 T > C (p.Cys278Arg)/c.833G > A (p.Gly278Asp),该变异可能导致致命性 NEDSWMA,且严重程度存在个体差异。我们系统地总结了患者及其家庭成员的临床特征,并通过各种预测方法分析了变异体的同源性、保守性和致病性等遗传特征。进一步的体外功能实验表明,所发现的变异体通过改变 HPDL 在 mRNA 和蛋白水平的表达,并对内源性 CoQ10 的分泌产生负面影响,从而抑制了 SH-SY5Y 细胞的增殖能力,但没有抑制其凋亡。我们的研究进一步促进了基因型与表型相关性的评估,并首次为阐明特定发病机制和确定精准靶向疗法提供了新的见解。
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引用次数: 0
Pregnancy zone protein, a potential research target in multiple diseases 妊娠区蛋白--多种疾病的潜在研究目标。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-19 DOI: 10.1016/j.gene.2024.149013
You Wu , Zhicong Zhao , Xia Deng , Jue Jia , Guoyue Yuan
Pregnancy zone protein (PZP) is an antiprotease-resistant immunosuppressant belonging to the α-macroglobulin (αM) protein family. PZP is secreted by the liver and was found to be upregulated in plasma during pregnancy. α-2-macroglobulin (Α2M) shares 71 % serial homology with PZP, but low PZP levels do not lead to increased A2M levels in pregnancy. PZP can interact with several factors such as low-density lipoprotein receptor-associated protein (LRP), transforming growth factor-β (TGF-β), 78 kDa glucose-regulated protein (GRP78), and glycoside A (GdA). PZP is involved in the development of glycolipid metabolism disorders, bronchiectasis, Alzheimer’s disease (AD), rheumatoid arthritis (RA), myocardial infarction (MI) and inflammatory bowel disease (IBD). PZP is also associated with the progression of tumorigenesis such as breast cancer (BC), homologyepatocellular carcinoma (HCC), lung adenocarcinoma (LAC), and colorectal cancer (CRC). Therefore, this review analyzes the role of PZP in pathophysiology of various diseases.
妊娠区蛋白(PZP)是一种抗蛋白酶的免疫抑制剂,属于α-巨球蛋白(αM)蛋白家族。α-2-巨球蛋白(Α2M)与 PZP 有 71% 的序列同源性,但 PZP 水平低不会导致孕期 A2M 水平升高。PZP 可与多种因子相互作用,如低密度脂蛋白受体相关蛋白(LRP)、转化生长因子-β(TGF-β)、78 kDa 葡萄糖调节蛋白(GRP78)和糖苷 A(GdA)。PZP 与糖脂代谢紊乱、支气管扩张、阿尔茨海默病(AD)、类风湿性关节炎(RA)、心肌梗塞(MI)和炎症性肠病(IBD)的发病有关。PZP 还与乳腺癌(BC)、同种异形细胞癌(HCC)、肺腺癌(LAC)和结直肠癌(CRC)等肿瘤的发生发展有关。因此,本综述分析了 PZP 在各种疾病的病理生理学中的作用。
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引用次数: 0
Differentiation of human umbilical cord mesenchymal stem cells into functional intestinal epithelial cells via conditioned medium co-culture 通过条件培养基共培养将人脐带间充质干细胞分化为功能性肠上皮细胞。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149008
Jiale Hu , Rui Liang , Man Li , Xianglian Zhang , Menglong Li , Huaidong Qu , Zhiqiang Wang

Background

The induction of stem cell differentiation to generate intestinal epithelial cells (IECs) with absorptive functions offers significant therapeutic potential for treating conditions such as Crohn’s disease, ulcerative colitis, radiation enteritis, and other refractory intestinal epithelial injuries. Human umbilical cord mesenchymal stem cells (hUC-MSCs) are capable of differentiating into functional IEC-like cells.

Objective

This study aimed to induce the differentiation of hUC-MSCs into IECs using a conditioned medium co-culture method.

Method

A culture medium derived from human IECs was used as the inductive medium to facilitate the differentiation of hUC-MSCs into IECs. The cellular morphology was assessed using inverted microscopy, and the expression of IEC markers, including Villin, CK20, CK8, and CK18 proteins, was analyzed via immunofluorescence staining. Furthermore, the expression levels of IEC markers, such as KRT18, were quantified using real-time quantitative PCR analysis. The functionality of the differentiated IECs in terms of sucrase secretion was assessed through sucrase activity assays.

Results

By the 14th day of induction, hUC-MSCs exhibited a morphology similar to IECs and exhibited the expression of IEC markers, including the KRT18 gene and Villin, CK20, CK8, and CK18 proteins. Sucrase activity assays further confirmed that the differentiated cells demonstrated significant sucrase activity.

Conclusion

The conditioned medium co-culture method effectively induced the differentiation of hUC-MSCs into functional IECs.
背景:诱导干细胞分化生成具有吸收功能的肠上皮细胞(IECs),为治疗克罗恩病、溃疡性结肠炎、放射性肠炎和其他难治性肠上皮损伤等疾病提供了巨大的治疗潜力。人脐带间充质干细胞(hUC-MSCs)能够分化为功能性 IEC 样细胞:本研究旨在利用条件培养基共培养法诱导 hUC-MSCs 分化为 IECs:方法:使用从人类 IECs 提取的培养基作为诱导培养基,促进 hUC-MSCs 向 IECs 分化。采用倒置显微镜评估细胞形态,并通过免疫荧光染色分析IEC标记物(包括Villin、CK20、CK8和CK18蛋白)的表达。此外,还通过实时定量 PCR 分析量化了 KRT18 等 IEC 标志物的表达水平。通过蔗糖酶活性测定评估了分化 IEC 分泌蔗糖酶的功能:结果:在诱导的第 14 天,hUC-间充质干细胞表现出与 IECs 相似的形态,并显示出 IEC 标志物的表达,包括 KRT18 基因和 Villin、CK20、CK8 和 CK18 蛋白。蔗糖酶活性测定进一步证实,分化细胞具有显著的蔗糖酶活性:结论:条件培养基共培养法能有效诱导 hUC-MSCs 分化为功能性 IECs。
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引用次数: 0
Regulation of B-cell function by miRNAs impacting Systemic lupus erythematosus progression 影响系统性红斑狼疮发展的 miRNA 对 B 细胞功能的调控
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149011
Bitang Huang , Fengbiao Guo , Jiaxuan Chen , Lu Lu , Shenglan Gao , Chunlong Yang , Han Wu , Wenying Luo , Qingjun Pan
Systemic lupus erythematosus (SLE) is a complex autoimmune disease marked by abnormal B-cell proliferation and increased autoantibodies. miRNAs play a crucial role in regulating B-cell dysfunction and SLE pathology. miRNAs influence DNA methylation, B-cell activation, and gene expression, contributing to SLE pathogenesis. miRNAs impact B cells through key processes like proliferation, differentiation, tolerance, and apoptosis. miRNAs also exacerbate inflammation and immune responses by modulating Interleukin 4 (IL-4), IL-6, and interferon cytokines. Autophagy, a key degradation mechanism, is also regulated by specific miRNAs that impact SLE pathology. This article explores the role of multiple miRNAs in regulating B-cell development, proliferation, survival, and immune responses, influencing SLE pathogenesis. miRNAs like miR-23a, the miR-17 ∼ 92 family, and miR-125b/miR-221 affect B-cell development by regulating transcription factors, signaling pathways, and cell cycle genes. miRNAs such as miR-181a-5p and miR-23a-5p are differentially regulated across developmental stages, emphasizing their complex regulatory roles in B-cell biology. This article synthesizes miRNA-B cell interactions to offer new strategies and directions for SLE diagnosis and treatment.
miRNA 在调节 B 细胞功能障碍和系统性红斑狼疮病理过程中发挥着至关重要的作用。miRNA 影响 DNA 甲基化、B 细胞活化和基因表达,有助于系统性红斑狼疮的发病机制。miRNA 还通过调节白细胞介素 4(IL-4)、IL-6 和干扰素细胞因子,加剧炎症和免疫反应。自噬是一种关键的降解机制,也受特定 miRNA 的调控,对系统性红斑狼疮的病理产生影响。本文探讨了多种 miRNA 在调控 B 细胞发育、增殖、存活和免疫反应方面的作用,这些作用影响着系统性红斑狼疮的发病机制。miRNA 如 miR-23a、miR-17 ∼ 92 家族和 miR-125b/miR-221 通过调控转录因子、信号通路和细胞周期基因来影响 B 细胞的发育。miR-181a-5p和miR-23a-5p等miRNA在不同的发育阶段受到不同的调控,强调了它们在B细胞生物学中复杂的调控作用。本文综述了 miRNA 与 B 细胞的相互作用,为系统性红斑狼疮的诊断和治疗提供了新的策略和方向。
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引用次数: 0
Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy 基于机器学习的糖尿病视网膜病变早期诊断和靶向治疗免疫相关生物标记物的识别与验证。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149015
Yulin Tao , Minqi Xiong , Yirui Peng , Lili Yao , Haibo Zhu , Qiong Zhou , Jun Ouyang
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilized for the development of immune-related molecular markers in DR. Based on the datasets GSE102485 and GSE160306, differentially expressed genes (DEGs) were screened using Weighted Gene Co-expression Network Analysis (WGCNA). Five ML algorithms including Bayesian, Learning Vector Quantization (LVQ), Wrapper (Boruta), Random Forest (RF), and Logistic Regression were employed to select immune-related genes associated with DR (DR.Sig). Seven ML algorithms including Naive Bayes (NB), RF, Support Vector Machine (SVM), AdaBoost Classification Trees (AdaBoost), Boosted Logistic Regressions (LogitBoost), K-Nearest Neighbors (KNN), and Cancerclass were utilized to construct a predictive model for DR. The relationship between DR.Sig genes and immune cells was analyzed using single-sample Gene Set Enrichment Analysis (ssGSEA). Additionally, drug sensitivity prediction of DR.Sig genes and molecular docking were performed. Through the utilization of 5 ML algorithms, 6 immune-related biomarkers closely related to the occurrence of DR were identified, including FCGR2B, CSRP1, EDNRA, SDC2, TEK, and CIITA. The DR predictive model constructed based on these 6 DR.Sig genes using the Cancerclass algorithm demonstrated superior predictive performance compared to 4 previously published DR-related biomarkers. In vivo and in vitro experiments also provided strong validation of the expression of the 6 genes in DR. Positive correlations were observed between these genes and 22 types of immune cells. Molecular docking results revealed that CSRP1, EDNRA, and TEK exhibited the highest affinities with the small molecule compounds etoposide, FR-139317, and camptothecin, respectively. The models constructed based on various ML algorithms can effectively predict the occurrence of DR events and hold potential for targeted drug therapies, providing a basis for the early diagnosis and targeted treatment of DR.
糖尿病视网膜病变(DR)的早期诊断具有挑战性,因此迫切需要确定新的生物标记物。免疫反应在糖尿病视网膜病变中起着至关重要的作用,但目前还没有关于利用机器学习(ML)算法开发糖尿病视网膜病变免疫相关分子标记物的报道。基于 GSE102485 和 GSE160306 数据集,利用加权基因共表达网络分析(WGCNA)筛选了差异表达基因(DEGs)。采用贝叶斯算法、学习矢量量化算法(LVQ)、Wrapper算法(Boruta)、随机森林算法(RF)和逻辑回归算法等五种 ML 算法筛选出与 DR 相关的免疫相关基因(DR.Sig)。利用 Naive Bayes (NB)、RF、支持向量机 (SVM)、AdaBoost 分类树 (AdaBoost)、Boosted Logistic Regressions (LogitBoost)、K-Nearest Neighbors (KNN) 和 Cancerclass 等七种 ML 算法构建了 DR 预测模型。利用单样本基因组富集分析(ssGSEA)分析了 DR.Sig 基因与免疫细胞之间的关系。此外,还对 DR.Sig 基因进行了药物敏感性预测和分子对接。通过使用 5 种 ML 算法,确定了 6 个与 DR 发生密切相关的免疫相关生物标志物,包括 FCGR2B、CSRP1、EDNRA、SDC2、TEK 和 CIITA。基于这6个DR.Sig基因使用Cancerclass算法构建的DR预测模型与之前公布的4个DR相关生物标记物相比,显示出更优越的预测性能。体内和体外实验也有力地验证了这 6 个基因在 DR 中的表达。在这些基因和 22 种免疫细胞之间观察到了正相关性。分子对接结果显示,CSRP1、EDNRA 和 TEK 分别与小分子化合物依托泊苷、FR-139317 和喜树碱具有最高的亲和力。基于多种 ML 算法构建的模型能有效预测 DR 事件的发生,并具有靶向药物治疗的潜力,为 DR 的早期诊断和靶向治疗提供了依据。
{"title":"Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy","authors":"Yulin Tao ,&nbsp;Minqi Xiong ,&nbsp;Yirui Peng ,&nbsp;Lili Yao ,&nbsp;Haibo Zhu ,&nbsp;Qiong Zhou ,&nbsp;Jun Ouyang","doi":"10.1016/j.gene.2024.149015","DOIUrl":"10.1016/j.gene.2024.149015","url":null,"abstract":"<div><div>The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilized for the development of immune-related molecular markers in DR. Based on the datasets GSE102485 and GSE160306, differentially expressed genes (DEGs) were screened using Weighted Gene Co-expression Network Analysis (WGCNA). Five ML algorithms including Bayesian, Learning Vector Quantization (LVQ), Wrapper (Boruta), Random Forest (RF), and Logistic Regression were employed to select immune-related genes associated with DR (DR.Sig). Seven ML algorithms including Naive Bayes (NB), RF, Support Vector Machine (SVM), AdaBoost Classification Trees (AdaBoost), Boosted Logistic Regressions (LogitBoost), K-Nearest Neighbors (KNN), and Cancerclass were utilized to construct a predictive model for DR. The relationship between DR.Sig genes and immune cells was analyzed using single-sample Gene Set Enrichment Analysis (ssGSEA). Additionally, drug sensitivity prediction of DR.Sig genes and molecular docking were performed. Through the utilization of 5 ML algorithms, 6 immune-related biomarkers closely related to the occurrence of DR were identified, including FCGR2B, CSRP1, EDNRA, SDC2, TEK, and CIITA. The DR predictive model constructed based on these 6 DR.Sig genes using the Cancerclass algorithm demonstrated superior predictive performance compared to 4 previously published DR-related biomarkers. In vivo and in vitro experiments also provided strong validation of the expression of the 6 genes in DR. Positive correlations were observed between these genes and 22 types of immune cells. Molecular docking results revealed that CSRP1, EDNRA, and TEK exhibited the highest affinities with the small molecule compounds etoposide, FR-139317, and camptothecin, respectively. The models constructed based on various ML algorithms can effectively predict the occurrence of DR events and hold potential for targeted drug therapies, providing a basis for the early diagnosis and targeted treatment of DR.</div></div>","PeriodicalId":12499,"journal":{"name":"Gene","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142462458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Differential expression of quick-to-court gene isoforms in Drosophila male and female 雌雄果蝇快速上场基因同工型的差异表达
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149010
Natalia E. Gogoleva , Roman O. Cherezov , Yulia V. Lyupina , Kim I. Adameyko , Alexander S. Balkin , Nikolay G. Gornostaev , Oksana I. Kravchuk
The quick-to-court (qtc) gene is expressed in both males and females but affects only the mating behavior of males, probably due to the different composition of isoforms between the sexes. We tested this hypothesis and examined the sex-specific expression of qtc transcripts in the tissues of male and female Oregon-R flies. It was found that some qtc transcripts, such as qtc-RM and qtc-RN, are testis-specific, while others like qtc-RH are found in ovaries but absent in testes. No sex-specific transcripts were identified in the brain, suggesting further investigation into specific brain structures may be needed. There is likely a complex regulation of qtc gene expression, which is potentially influenced by various factors in different tissues.
快速上庭(qtc)基因在雄性和雌性中都有表达,但只影响雄性的交配行为,这可能是由于不同性别中的同工型组成不同。我们验证了这一假设,并研究了qtc转录本在雌雄俄勒冈-R蝇组织中的性别特异性表达。结果发现,一些qtc转录本(如qtc-RM和qtc-RN)具有睾丸特异性,而另一些qtc转录本(如qtc-RH)则存在于卵巢中,但不存在于睾丸中。在大脑中没有发现性别特异性转录本,这表明可能需要进一步调查特定的大脑结构。qtc 基因的表达可能存在复杂的调控,在不同组织中可能受到各种因素的影响。
{"title":"Differential expression of quick-to-court gene isoforms in Drosophila male and female","authors":"Natalia E. Gogoleva ,&nbsp;Roman O. Cherezov ,&nbsp;Yulia V. Lyupina ,&nbsp;Kim I. Adameyko ,&nbsp;Alexander S. Balkin ,&nbsp;Nikolay G. Gornostaev ,&nbsp;Oksana I. Kravchuk","doi":"10.1016/j.gene.2024.149010","DOIUrl":"10.1016/j.gene.2024.149010","url":null,"abstract":"<div><div>The <em>quick-to-court</em> (<em>qtc</em>) gene is expressed in both males and females but affects only the mating behavior of males, probably due to the different composition of isoforms between the sexes. We tested this hypothesis and examined the sex-specific expression of <em>qtc</em> transcripts in the tissues of male and female <em>Oregon-R</em> flies. It was found that some <em>qtc</em> transcripts, such as qtc-RM and qtc-RN, are testis-specific, while others like qtc-RH are found in ovaries but absent in testes. No sex-specific transcripts were identified in the brain, suggesting further investigation into specific brain structures may be needed. There is likely a complex regulation of <em>qtc</em> gene expression, which is potentially influenced by various factors in different tissues.</div></div>","PeriodicalId":12499,"journal":{"name":"Gene","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142462437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identification and validation of diagnostic biomarkers and immune infiltration in dilated cardiomyopathies with heart failure and construction of diagnostic model 扩张型心肌病伴心力衰竭的诊断生物标志物和免疫浸润的鉴定与验证,以及诊断模型的构建。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149007
Zhaodi Wang , Yihan Chen , Weidong Li , Chuanyu Gao , Jing Zhang , Xiaobiao Zang , Zhihan Zhao , Hongkun Fan , Yonghui Zhao
Dilated cardiomyopathy (DCM) is characterized by immune cell infiltration and can readily progress to heart failure (HF). In the study, differential expression analysis, enrichment analysis, and protein–protein interaction (PPI) network analysis were performed on DCM with HF-related datasets. The CytoHubba was used to identify hub genes. Diagnostic biomarkers were obtained by validating their expression and diagnostic value in another external dataset, and a diagnostic model was constructed. Finally, single-sample gene set enrichment analysis (ssGSEA) was used to predict immune cell infiltration in cardiac samples. The associations between diagnostic biomarkers and immune cells were investigated. The NetworkAnalyst and miRDB databases were used to predict transcription factors and microRNAs, followed by establishing regulatory networks. The DSigDB database was used to predict drug candidates. Subsequently, a mouse model of DCM with HF was used to validate the expression levels of these genes. The present study revealed that differentially expressed genes were enriched in the extracellular matrix organization, cardiac muscle hypertrophy, and other immune-related biological processes. OMD and THBS4 were finally identified, and the nomogram has satisfactory prediction and strong calibration ability. In addition, the two diagnostic biomarkers exhibited significant associations with multiple immune infiltrating cells. Finally, two TFs, 65 microRNAs, and 10 drug candidates were obtained. In animal experiments, two diagnostic biomarkers showed expression trends consistent with the results of bioinformatic analysis. OMD and THBS4 have been identified as hub immune-related diagnostic biomarkers for DCM with HF. Our research provides novel insights into the diagnosis and treatment of the disease.
扩张型心肌病(DCM)的特点是免疫细胞浸润,很容易发展为心力衰竭(HF)。该研究对扩张性心肌病和心力衰竭相关数据集进行了差异表达分析、富集分析和蛋白-蛋白相互作用(PPI)网络分析。CytoHubba用于识别枢纽基因。通过在另一个外部数据集中验证其表达和诊断价值,获得诊断生物标志物,并构建诊断模型。最后,利用单样本基因组富集分析(ssGSEA)预测心脏样本中的免疫细胞浸润。对诊断生物标记物与免疫细胞之间的关联进行了研究。NetworkAnalyst 和 miRDB 数据库用于预测转录因子和 microRNA,然后建立调控网络。DSigDB 数据库用于预测候选药物。随后,利用小鼠 DCM 伴高频模型验证了这些基因的表达水平。本研究发现,差异表达基因富集在细胞外基质组织、心肌肥大和其他免疫相关的生物过程中。最终确定了 OMD 和 THBS4,其提名图具有令人满意的预测能力和较强的校准能力。此外,这两个诊断性生物标记物与多种免疫浸润细胞有显著关联。最后,得到了 2 个 TFs、65 个 microRNA 和 10 个候选药物。在动物实验中,两个诊断生物标志物的表达趋势与生物信息分析的结果一致。OMD和THBS4被确定为DCM伴高频的枢纽免疫相关诊断生物标志物。我们的研究为该疾病的诊断和治疗提供了新的见解。
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引用次数: 0
Expression of FET-1 related transcripts during chicken embryogenesis suggests a role in muscle development 鸡胚胎发育过程中 FET-1 相关转录本的表达表明其在肌肉发育中发挥作用。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149006
Chiron Loubser, Natalya V. Nikitina
The genetic basis of somatic cell identity in avian sex determination is still unknown. FET1, an endogenous retrovirus, has previously been demonstrated to be expressed during gonad development. Here, we report expression of FET1 related transcripts in non-gonadal tissue during chicken development. Both the forward and reverse FET1 related transcripts were seen in various developing muscle tissues. Both the “full-length” and partial FET1 transcripts were expressed; the latter however showed a more ubiquitous expression pattern. Female-specific gonadal expression of both sense and antisense transcripts was also confirmed. An anti-FET1 antibody, however, failed to distinguish between the predicted FET1 protein and other endogenous retroviral proteins expressed at E6.5. Our data suggest a possible role for FET1 related transcripts in sex-specific differences in muscle size and growth rate in the chickens.
鸟类性别决定过程中体细胞特性的遗传基础仍不清楚。FET1 是一种内源性逆转录病毒,以前曾被证实在性腺发育过程中表达。在此,我们报告了 FET1 相关转录本在鸡非生殖腺组织发育过程中的表达。在各种发育中的肌肉组织中都能看到 FET1 的正向和反向相关转录本。全长 "和部分 FET1 转录本均有表达,但后者的表达模式更为普遍。雌性特有的性腺表达的有义和反义转录本也得到了证实。然而,抗 FET1 抗体无法区分预测的 FET1 蛋白和其他在 E6.5 表达的内源性逆转录病毒蛋白。我们的数据表明,FET1相关转录本可能在鸡的肌肉大小和生长速度的性别差异中发挥作用。
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引用次数: 0
Downregulation of ferroptosis-related ATF3 alleviates lupus nephritis progression 下调与铁蛋白沉积有关的 ATF3 可减轻狼疮肾炎的进展。
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-18 DOI: 10.1016/j.gene.2024.149009
Gong Xiao, Shumei Tang, Yan Zhang, Qiongjing Yuan, Danni Sun, Wei Wang

Background

The role of ferroptosis in lupus nephritis (LN) is unclear. This study aimed to explore the effects of ferroptosis-related genes in LN through bioinformatics prediction and experimental validation.

Methods

Sample data were collected from the GEO dataset and divided into glomeruli and tubulointerstitium. We collected 382 ferroptosis-related genes. The intersection of ferroptosis-related genes with glomeruli and tubulointerstitium data, respectively, was performed. Machine learning methods (including unsupervised cluster typing and random forests) were operated to identify ferroptosis subtyping and ferroptosis important genes in LN. Immune infiltration and functional analysis were performed. The expression of ferroptosis important gene ATF3 was validated in vivo and in vitro.

Results

6 ferroptosis important genes common to glomeruli and tubulointerstitium were screened, including ATF3, CD44, CYBB, JUN, NCF2, and NNMT. ATF3 decreased in the LN group compared to the Control. Silencing ATF3 mitigated LPS/erastin-induced ferroptosis. Functional analysis showed that ATF3 was markedly enriched in the interferon-gamma-mediated signaling pathway, ECM-receptor interaction, and cell adhesion. In glomeruli, T cells regulatory (Tregs) infiltration decreased and Macrophages M1 levels increased with elevated ATF3 expression. Levels of immune cell infiltration were altered in different ferroptosis subtypes of LN glomeruli and tubulointerstitium.

Conclusions

Ferroptosis-related ATF3 levels decreased in LN. Inhibition of ATF3 might alleviate LN development by affecting the macrophage M1 and Treg cell infiltration. These implied that ATF3 might be a potential target for developing LN therapeutic strategies.
背景:狼疮肾炎(LN)中铁蛋白沉积的作用尚不清楚。本研究旨在通过生物信息学预测和实验验证,探讨铁蛋白沉积相关基因在狼疮性肾炎中的作用:方法:样本数据来自 GEO 数据集,分为肾小球和肾小管间质。我们收集了 382 个铁蛋白沉积相关基因。分别将铁色素沉着相关基因与肾小球和肾小管间质数据进行交叉。采用机器学习方法(包括无监督聚类分型和随机森林)确定了 LN 中的铁蛋白沉着亚型和铁蛋白沉着重要基因。进行了免疫浸润和功能分析。在体内和体外验证了铁变态反应重要基因ATF3的表达:结果:筛选出6个肾小球和肾小管间质常见的铁变态反应重要基因,包括ATF3、CD44、CYBB、JUN、NCF2和NNMT。与对照组相比,ATF3在LN组中减少。沉默 ATF3 可减轻 LPS/erastin 诱导的铁蛋白沉着。功能分析显示,ATF3在干扰素-γ介导的信号通路、ECM-受体相互作用和细胞粘附中明显富集。在肾小球中,T细胞调节(Tregs)浸润和巨噬细胞M1水平随着ATF3表达的升高而增加。在 LN 肾小球和肾小管间质的不同铁变态亚型中,免疫细胞浸润水平发生了改变:结论:在 LN 中,与铁败坏相关的 ATF3 水平下降。抑制 ATF3 可通过影响巨噬细胞 M1 和 Treg 细胞浸润来缓解 LN 的发展。这意味着 ATF3 可能是开发 LN 治疗策略的潜在靶点。
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引用次数: 0
Association of Vitamin D receptor gene polymorphism with susceptibility and prognosis of Systemic Lupus Erythematosus in Chinese patients 中国患者维生素 D 受体基因多态性与系统性红斑狼疮易感性和预后的关系
IF 2.6 3区 生物学 Q2 GENETICS & HEREDITY Pub Date : 2024-10-16 DOI: 10.1016/j.gene.2024.149004
Shiyi Zhang , Shuman Liu , Yantong Zhu , Linyu Geng , Lingyun Sun

Introduction

The etiology of systemic lupus erythematosus (SLE) is complex, involving both environmental and genetic factors. Previous research has indicated a potential link between autoimmune diseases, such as SLE, and variations in the vitamin D receptor gene (VDR). This study intended to explore the relationship between VDR SNPs, susceptibility to SLE, clinical parameters, and prognosis in the Chinese Han SLE population.

Method

Totally, 461 healthy individuals and 503 patients were recuited SLE diagnoses were chosen. Data on clinical symptoms, scores from the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), and results from clinical examinations were collected. The study analyzed four variations in the VDR gene (FokI, BsmI, ApaI, TaqI) using MassARRAY® Iplex GOLD SNP genotyping.

Results

The dominant model showed significant correlations between susceptibility to SLE and the FokI (P < 0.001) and ApaI (P < 0.001) SNPs. Additionally, mucosal ulcer was linked to FokI, while hematologic disorder, rash, photosensitivity, and anti-dsDNA positivity were associated with ApaI. Subsequent studies indicated that the FokI SNP was connected to a poorer prognosis in SLE patients.

Conclusions

This research indicates that VDR SNPs could potentially contribute to the susceptibility of SLE, as well as impacting the clinical presentation and outlook for Chinese individuals with SLE. (Protocol No. 2016-027, registered retrospectively).
导言系统性红斑狼疮(SLE)的病因很复杂,既有环境因素,也有遗传因素。以往的研究表明,系统性红斑狼疮等自身免疫性疾病与维生素 D 受体基因(VDR)变异之间存在潜在联系。本研究旨在探讨中国汉族系统性红斑狼疮人群中 VDR SNPs 与系统性红斑狼疮易感性、临床指标及预后之间的关系:方法:共选取 461 名健康人和 503 名系统性红斑狼疮复诊患者。方法:共选择了 461 名健康人和 503 名系统性红斑狼疮复诊患者,收集了他们的临床症状、系统性红斑狼疮疾病活动指数(SLEDAI)评分和临床检查结果等数据。研究使用 MassARRAY® Iplex GOLD SNP 基因分型分析了 VDR 基因的四种变异(FokI、BsmI、ApaI、TaqI):结果:显性模型显示,系统性红斑狼疮易感性与 FokI(P 结论:FokI、BsmI、ApaI、TaqI)之间存在显着相关性:这项研究表明,VDR SNPs 有可能导致系统性红斑狼疮的易感性,并影响中国系统性红斑狼疮患者的临床表现和前景。(方案编号:2016-027,回顾性注册)。
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