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Background: Cardioembolic stroke (CE) exhibits the highest recurrence rate and mortality rate among all subtypes of cerebral ischemic stroke (CIS), yet its pathogenesis remains uncertain. The immune system plays a pivotal role in the progression of CE. Growing evidence indicates that several immune-associated blood biomarkers may inform the causes of stroke. The study aimed to identify new immune-associated blood biomarkers in patients with CE and create an online predictive tool in distinguishing CE from noncardioembolic stroke (non-CE) in CIS. Methods: Gene expression profiles that were publicly available were obtained from the Gene Expression Omnibus (GEO). The identification of differentially expressed genes (DEGs) was conducted using the Limma package. The hub module and hub genes were identified through the application of weighted gene coexpression network analysis (WGCNA). In order to identify potential diagnostic biomarkers for CE, both the random forest (RF) model and least absolute shrinkage and selection operator (LASSO) regression analysis were employed. Concurrently, the CIBERSORT algorithm was employed to evaluate the infiltration of immune cells in CE samples and examine the correlation between the biomarkers and the infiltrating immune cells. The diagnostic gene expression in blood samples was confirmed using qRT-PCR in a self-constructed dataset. Univariate and multiple logistic regression analyses were used to identify the risk factors for CE. Subsequently, the mathematical model of the nomogram was employed via Java's "Spring Boot" framework to develop the corresponding online tool, which was then deployed on a cloud server utilizing "nginx". Results: Eleven differentially expressed genes (DEGs) that were upregulated and seven DEGs that were downregulated were identified. Through bioinformatics analysis and clinical sample verification, it was discovered that Fc Fragment of IgE Receptor Ig (FCER1G) could serve as a novel potential blood biomarker for CE. FCER1G, along with other risk factors associated with CE, were utilized to develop a nomogram. The training and validation sets, which consisted of 65 CIS patients, yielded areas under the curve (AUCs) of 0.9722 and 0.9689, respectively. These results indicate a high level of precision in risk delineation by the nomogram. Furthermore, the associated online predictive platform has the potential to serve as a more efficacious and appropriate predictive instrument (https://www.origingenetic.com/CardiogenicStroke-FCER1G) for distinguishing between CE and non-CE. Conclusion: Blood biomarker FCER1G has the potential to identify patients who are at a higher risk of cardioembolism and direct the search for occult AF.The utilization of this online tool is anticipated to yield significant implications in terms of distinguishing between CE and non-CE, as well as enhancing the optimization of treatment decision support.
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Background: It is now understood that APOBEC3 family proteins (A3s) are essential in tumor progression, yet their involvement in tumor immunity and stemness across diverse cancer types remains poorly understood. Methods: In the present study, comprehensive genome-wide statistical and bioinformatic analyses were conducted to elucidate A3 family expression patterns, establishing clinically relevant correlations with prognosis, the tumor microenvironment(TME), immune infiltration, checkpoint blockade, and stemness across cancers. Different experimental techniques were applied, including RT-qPCR, immunohistochemistry, sphere formation assays, Transwell migration assays, and wound-healing assays, to investigate the impact of A3C on low-grade glioma (LGG) and glioblastoma multiforme (GBM), as well as its function in glioma stem cells(GSCs). Results: Dysregulated expression of A3s was observed in various human cancer tissues. The prognostic value of A3 expression differed across cancer types, with a link to particularly unfavorable outcomes in gliomas. A3s are associated with the the TME and stemness in multiple cancers. Additionally, we developed an independent prognostic model based on A3s expression, which may be an independent prognostic factor for OS in patients with glioma. Subsequent validation underscored a strong association between elevated A3C expression and adverse prognostic outcomes, higher tumor grades, and unfavorable histology in glioma. A potential connection between A3C and glioma progression was established. Notably, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses implicated A3C in immune system-related diseases, with heightened A3C levels contributing to an immunosuppressive tumor microenvironment (TME) in glioma. Furthermore, in vitro experiments substantiated the role of A3C in sustaining and renewing glioma stem cells, as A3C deletion led to diminished proliferation, invasion, and migration of glioma cells. Conclusion: The A3 family exhibits heterogeneous expression across various cancer types, with its expression profile serving as a predictive marker for overall survival in glioma patients. A3C emerges as a regulator of glioma progression, exerting its influence through modulation of the tumor microenvironment and regulation of stemness.
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Glioblastoma , Glioma , Humanos , Microambiente Tumoral/genética , Glioma/genética , Bioensaio , Biologia Computacional , Citidina DesaminaseRESUMO
Atrial fibrillation (AF) is a major risk factor for ischemic stroke. We aimed to identify novel potential biomarkers with diagnostic value in patients with atrial fibrillation-related cardioembolic stroke (AF-CE).Publicly available gene expression profiles related to AF, cardioembolic stroke (CE), and large artery atherosclerosis (LAA) were downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified and then functionally annotated. The support vector machine recursive feature elimination (SVM-RFE) and least absolute shrinkage and selection operator (LASSO) regression analysis were conducted to identify potential diagnostic AF-CE biomarkers. Furthermore, the results were validated by using external data sets, and discriminability was measured by the area under the ROC curve (AUC). In order to verify the predictive results, the blood samples of 13 healthy controls, 20 patients with CE, and 20 patients with LAA stroke were acquired for RT-qPCR, and the correlation between biomarkers and clinical features was further explored. Lastly, a nomogram and the companion website were developed to predict the CE-risk rate. Three feature genes (C1QC, VSIG4, and CFD) were selected and validated in the training and the external datasets. The qRT-PCR evaluation showed that the levels of blood biomarkers (C1QC, VSIG4, and CFD) in patients with AF-CE can be used to differentiate patients with AF-CE from normal controls (P < 0.05) and can effectively discriminate AF-CE from LAA stroke (P < 0.05). Immune cell infiltration analysis revealed that three feature genes were correlated with immune system such as neutrophils. Clinical impact curve, calibration curves, ROC, and DCAs of the nomogram indicate that the nomogram had good performance. Our findings showed that C1QC, VSIG4, and CFD can potentially serve as diagnostic blood biomarkers of AF-CE; novel nomogram and the companion website can help clinicians to identify high-risk individuals, thus helping to guide treatment decisions for stroke patients.
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Aterosclerose , Fibrilação Atrial , AVC Embólico , Humanos , Aterosclerose/complicações , Fibrilação Atrial/diagnóstico , Fibrilação Atrial/genética , Biomarcadores , AVC Embólico/diagnóstico , AVC Embólico/genética , AVC Embólico/complicaçõesRESUMO
Background: The human insulin-like growth factor 2 mRNA binding proteins 1-3 (IGF2BP1-3, also called IMP1-3) play essential roles in mRNA regulation, including its splicing, translocation, stability, and translation. However, knowledge regarding the involvement of IGF2BPs in tumor immunity and stemness across cancer types is still lacking. Methods: In this study, we comprehensively analyzed pan-cancer multi-omic data to determine the correlation of IGF2BPs mRNA and protein expression with various cancer parameters such as mutation frequency, prognostic value, the tumor microenvironment (TME), checkpoint blockade, tumor immune infiltration, stemness and drug sensitivity. Validation of the expression of IGF2BPs in cancer samples and glioma cells were performed by quantitative real-time (qRT)-PCR, and immunofluorescence staining. Investigation of the functional role of IGF2BP3 in glioma stem cells(GSCs) were performed by sphere formation, cytotoxicity, transwell, and wound healing assays. Results: We found that IGF2BP1 and 3 are either absent or expressed at very low levels in most normal tissues. However, IGF2BP1-3 can be re-expressed in a broad range of cancer types and diverse cancer cell lines, where their expression often correlates with poor prognosis. Immunofluorescence staining and qRT-PCR analyses also showed that the expression of IGF2BP2 and IGF2BP3 were higher in cancer tissues than that in adjacent normal tissues. Moreover, IGF2BPs are associated with TME and stemness in human pan-cancer. Remarkably, IGF2BP3 participated in the maintenance and self-renewal of glioma stem cell (GSCs). Knockdown of IGF2BP3 attenuated GSC and glioma cell proliferation, invasion, and migration. Conclusions: Our systematic pan-cancer study confirmed the identification of IGF2BPs as therapeutic targets and highlighted the need to study their association with stemness, and the TME, which contribute to the cancer drug-discovery research. Especially, preliminary studies demonstrate the IGF2BP3 as a potential negative regulator of glioma tumorigenesis by modulating stemness.
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BACKGROUND: In 2013, Jinan KingMed Diagnostics (JKD) first established a systematic cervical cytology training and quality control (QC) program in Shandong Province, China. We compared the efficacy of high-risk human papillomavirus (HR-HPV) detection, cytology, and their combination in routine clinical practice after the implementation of the training and QC program to identify the optimal first-line screening method in this region. METHODS: The data of patients histologically diagnosed with cervical intraepithelial neoplasia (CIN) 1, CIN2/3, and invasive cervical cancer (ICC) between January 2014 and December 2017 were retrieved from the JKD database. Cytology and/or HR-HPV testing results within 3 months preceding the CIN1 diagnoses and 6 months preceding the CIN2/3 and ICC diagnoses were analyzed. RESULTS: Prior screening data were available for 1829 CIN1 patients, 2309 CIN2/3 patients, and 680 ICC patients. Cytology alone and HR-HPV testing alone had similar rates of positive results for CIN2/3 (97.2% [854/879] vs. 95.4% [864/906], P = 0.105) and ICC detection (89.1% [205/230] vs. 92.7% [204/220], P = 0.185). Compared with either method alone, co-testing slightly increased the screening sensitivity for CIN2/3 (99.8% [523/524], all P < 0.001) and ICC (99.6% [229/230], all P < 0.001) detection. In the CIN1 group, cervical cytology alone (92.9% [520/560]) was more sensitive than HR-HPV testing alone (79.9% [570/713], P < 0.001), and co-testing (95.3% [530/556]) did not significantly improve the screening sensitivity (P = 0.105). CONCLUSIONS: After the implementation of a systematic training and QC program, both cytology and HR-HPV testing may be adopted for primary cervical cancer screening in Shandong Province.
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Alphapapillomavirus/isolamento & purificação , Detecção Precoce de Câncer/métodos , Programas de Rastreamento/organização & administração , Infecções por Papillomavirus/diagnóstico , Displasia do Colo do Útero/diagnóstico , Neoplasias do Colo do Útero/diagnóstico , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Alphapapillomavirus/genética , Alphapapillomavirus/patogenicidade , Colo do Útero/patologia , Colo do Útero/virologia , China , DNA Viral/genética , DNA Viral/isolamento & purificação , Detecção Precoce de Câncer/estatística & dados numéricos , Feminino , Técnicas de Genotipagem/estatística & dados numéricos , Implementação de Plano de Saúde , Humanos , Programas de Rastreamento/métodos , Programas de Rastreamento/estatística & dados numéricos , Pessoa de Meia-Idade , Invasividade Neoplásica , Infecções por Papillomavirus/patologia , Infecções por Papillomavirus/virologia , Avaliação de Programas e Projetos de Saúde , Controle de Qualidade , Sensibilidade e Especificidade , Neoplasias do Colo do Útero/patologia , Neoplasias do Colo do Útero/prevenção & controle , Neoplasias do Colo do Útero/virologia , Esfregaço Vaginal , Adulto Jovem , Displasia do Colo do Útero/patologia , Displasia do Colo do Útero/virologiaRESUMO
The interplay between divergence and phenotypic plasticity is critical to our understanding of a species' adaptive potential under rapid climate changes. We investigated divergence and plasticity in natural populations of the Pacific oyster Crassostrea gigas with a congeneric oyster Crassostrea angulata from southern China used as an outgroup. Genome re-sequencing of 371 oysters revealed unexpected genetic divergence in a small area that coincided with phenotypic divergence in growth, physiology, heat tolerance and gene expression across environmental gradients. These findings suggest that selection and local adaptation are pervasive and, together with limited gene flow, influence population structure. Genes showing sequence differentiation between populations also diverged in transcriptional response to heat stress. Plasticity in gene expression is positively correlated with evolved divergence, indicating that plasticity is adaptive and favoured by organisms under dynamic environments. Divergence in heat tolerance-partly through acetylation-mediated energy depression-implies differentiation in adaptive potential. Trade-offs between growth and survival may play an important role in local adaptation of oysters and other marine invertebrates.
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Adaptação Fisiológica , Crassostrea/fisiologia , Expressão Gênica , Variação Genética , Genoma , Animais , Crassostrea/genéticaRESUMO
The northern bay scallop Argopecten irradians irradians (Lamarck) and the southern bay scallop Argopecten irradians concentricus (Say) were introduced into China in the 1980s and 1990s, and are now major aquaculture molluscs in China. Here, we report the transcriptome sequencing of the two subspecies and the subsequent association analysis on candidate gene on the trait of heat tolerance. In total, RNA from six tissues of 67 and 42 individuals of northern and southern bay scallops, respectively, were used and 55.5 and 34.9 million raw reads were generated, respectively. There were 82,267 unigenes produced in total, of which 32,595 were annotated. Altogether, 32,206 and 23,312 high-quality SNPs were identified for northern and southern bay scallops, respectively. For case-control analysis, two intercrossed populations were heat stress treated, and both heat-susceptible and heat-resistant individuals were collected. According to annotation and SNP allele frequency analysis, 476 unigenes were selected, and 399 pairs of primers were designed. Genotyping was conducted using the high-resolution melting method, and Fisher's exact test was performed for allele frequency comparison between the heat-susceptible and heat-resistant groups. SNP all-53308-760 T/C showed a significant difference in allele frequency between the heat-susceptible and heat-resistant groups. Notably, considerable difference in allele frequency at this locus was also observed between the sequenced natural populations. These results suggest that SNP all-53308-760 T/C may be related to the heat tolerance of the bay scallop. Moreover, quantitative expression analysis revealed that the expression level of all-53308 was negatively correlated with heat tolerance of the bay scallop.
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Adaptação Fisiológica , Temperatura Alta , Pectinidae/genética , Polimorfismo de Nucleotídeo Único , Transcriptoma , Animais , Pectinidae/fisiologiaRESUMO
The Pacific oyster Crassostrea gigas belongs to one of the most species-rich but genomically poorly explored phyla, the Mollusca. Here we report the sequencing and assembly of the oyster genome using short reads and a fosmid-pooling strategy, along with transcriptomes of development and stress response and the proteome of the shell. The oyster genome is highly polymorphic and rich in repetitive sequences, with some transposable elements still actively shaping variation. Transcriptome studies reveal an extensive set of genes responding to environmental stress. The expansion of genes coding for heat shock protein 70 and inhibitors of apoptosis is probably central to the oyster's adaptation to sessile life in the highly stressful intertidal zone. Our analyses also show that shell formation in molluscs is more complex than currently understood and involves extensive participation of cells and their exosomes. The oyster genome sequence fills a void in our understanding of the Lophotrochozoa.
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Adaptação Fisiológica/genética , Exoesqueleto/crescimento & desenvolvimento , Crassostrea/genética , Genoma/genética , Estresse Fisiológico/fisiologia , Exoesqueleto/química , Animais , Proteínas Reguladoras de Apoptose/genética , Elementos de DNA Transponíveis/genética , Evolução Molecular , Feminino , Regulação da Expressão Gênica no Desenvolvimento/genética , Genes Homeobox/genética , Genômica , Proteínas de Choque Térmico HSP70/genética , Humanos , Larva/genética , Larva/crescimento & desenvolvimento , Espectrometria de Massas , Anotação de Sequência Molecular , Dados de Sequência Molecular , Polimorfismo Genético/genética , Sequências Repetitivas de Ácido Nucleico/genética , Análise de Sequência de DNA , Estresse Fisiológico/genética , Transcriptoma/genéticaRESUMO
Ferritin is a ubiquitous protein that plays an important role in iron storage and iron-withholding strategy of innate immunity. In this study, three genes encoding different ferritin subunits were cloned from bay scallop Argopecten irradians (AiFer1, AiFer2 and AiFer3) by rapid amplification of cDNA ends (RACE) approaches based on the known ESTs. The open reading frames of the three ferritins are of 516 bp, 522 bp and 519 bp, encoding 171,173 and 172 amino acids, respectively. All the AiFers contain a putative Iron Regulatory Element (IRE) in their 5'-untranslated regions. The deduced amino acid sequences of AiFers possess both the ferroxidase center of mammalian H ferritin and the iron nucleation site of mammalian L ferritin. Gene structure study revealed two distinct structured genes encoding a ferritin subunit (AiFer3). Quantitative real-time PCR analysis indicated the significant up-regulation of AiFers in hemocytes after challenged with Listonella anguillarum, though the magnitudes of AiFer1 and AiFer2 were much higher than that of AiFer3. Taken together, these results suggest that AiFers are likely to play roles in both iron storage and innate immune defense against microbial infections.
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Ferritinas/genética , Ferritinas/imunologia , Listonella/fisiologia , Pectinidae , Animais , Perfilação da Expressão Gênica , Ordem dos Genes , Imunidade Inata/genética , Dados de Sequência Molecular , Pectinidae/genética , Pectinidae/imunologia , Pectinidae/microbiologiaRESUMO
Peroxiredoxins (Prxs) constitute a superfamily of antioxidative proteins that play important roles in protecting organisms against damage from reactive oxygen species (ROS). In this study, the peroxiredoxin V gene from Argopecten irradians (Ai-PrxV) was isolated and characterized. The full-length Ai-PrxV cDNA consists of 1689 bp with a 567 bp open reading frame (ORF) that encodes 188 amino acids. Three putative polyadenylation consensus signals (AATAAA) were found in the 953 bp long 3'-UTR. The genomic length of the Ai-PrxV gene is 12575 bp, and it contains six exons and five introns. The gene structure is closely related to those of chordates but differs from those of arthropods. The 5' flanking region, which contains several putative transcription factor binding sites, was also analyzed. Quantitative real-time PCR analysis showed that the highest expression of the Ai-PrxV transcripts occurred in gill tissue. When challenged with the bacteria Vibrio anguillarum, the level of Ai-PrxV transcripts in hemocytes of bay scallops was up-regulated and reached the highest point at 15 h post-challenge. These results indicate that Ai-PrxV is a constitutive and inducible protein that plays an important role in the immune response against bacterial infection.