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  • Frontiers Media SA  (240)
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  • 1
    Online Resource
    Online Resource
    Data_Sheet_1.docx
    Frontiers Media SA ; 2024
    In:  Frontiers in Medicine Vol. 11 ( 2024-4-17)
    Details
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 11 ( 2024-4-17)
    Abstract: Preeclampsia (PE) is a pregnancy complication defined by new onset hypertension and proteinuria or other maternal organ damage after 20 weeks of gestation. Although non-invasive prenatal testing (NIPT) has been widely used to detect fetal chromosomal abnormalities during pregnancy, its performance in combination with maternal risk factors to screen for PE has not been extensively validated. Our aim was to develop and validate classifiers that predict early- or late-onset PE using the maternal plasma cell-free DNA (cfDNA) profile and clinical risk factors. Methods We retrospectively collected and analyzed NIPT data of 2,727 pregnant women aged 24–45 years from four hospitals in China, which had previously been used to screen for fetal aneuploidy at 12 + 0 ~ 22 + 6 weeks of gestation. According to the diagnostic criteria for PE and the time of diagnosis (34 weeks of gestation), a total of 143 early-, 580 late-onset PE samples and 2,004 healthy controls were included. The wilcoxon rank sum test was used to identify the cfDNA profile for PE prediction. The Fisher’s exact test and Mann–Whitney U-test were used to compare categorical and continuous variables of clinical risk factors between PE samples and healthy controls, respectively. Machine learning methods were performed to develop and validate PE classifiers based on the cfDNA profile and clinical risk factors. Results By using NIPT data to analyze cfDNA coverages in promoter regions, we found the cfDNA profile, which was differential cfDNA coverages in gene promoter regions between PE and healthy controls, could be used to predict early- and late-onset PE. Maternal age, body mass index, parity, past medical histories and method of conception were significantly differential between PE and healthy pregnant women. With a false positive rate of 10%, the classifiers based on the combination of the cfDNA profile and clinical risk factors predicted early- and late-onset PE in four datasets with an average accuracy of 89 and 80% and an average sensitivity of 63 and 48%, respectively. Conclusion Incorporating cfDNA profiles in classifiers might reduce performance variations in PE models based only on clinical risk factors, potentially expanding the application of NIPT in PE screening in the future.
    Type of Medium: Online Resource
    ISSN: 2296-858X
    URL: Article
    URL: Article
    DOI: 10.3389/fmed.2024.1254467
    DOI: 10.3389/fmed.2024.1254467.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2775999-4
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  • 2
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    Table_1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Medicine Vol. 9 ( 2022-4-28)
    Details
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 9 ( 2022-4-28)
    Abstract: Patients with endometrial cancer (EC) combined with metabolic syndrome (MetS) have a worse prognosis than those without MetS. This study aimed to investigate whether partial metabolic disorder significantly influenced early-stage endometrioid EC (EEC) survival and searched for a more efficient method to evaluate metabolic status. Methods This is a nationwide, multicenter cohort study that included 998 patients with primary early-stage EEC from 2001 to 2018. Patients were divided into different metabolic groups based on the diagnostic criteria of the Chinese Medical Association (CDC). The progression-free survival (PFS) time was compared between various metabolic status. Meanwhile, we established an EC Prognostic-Related Metabolic Score (ECPRM Score) to explore the association of the severity of metabolic status and early-stage EEC PFS. A nomogram was established for predicting PFS, which was externally validated in a testing set that includes 296 patients. Results A partial metabolic disorder, as well as MetS, was an independent risk factor of poor survival of patients with early-stage EEC [hazard ratio (HR) = 7.6, 95% CI = 1.01–57.5, p & lt; 0.05]. A high ECPRM Score was associated with lower PFS (HR = 2.1, 95% CI = 1.05–4.0, p & lt; 0.001). The nomogram, in which the ECPRM Score contributed most to the prognosis, exhibited excellent discrimination of survival supported by the internal and external validations. In addition, the calibration curve supports its robust predicting ability. Conclusion Even though they do not meet the criteria of MetS, partial metabolic disorders were also associated with adverse outcomes in early-stage EEC. The ECPRM Score is beneficial for clinicians to evaluate the severity of metabolic abnormalities and guide patients to ameliorate the poor prognosis of metabolic disorders.
    Type of Medium: Online Resource
    ISSN: 2296-858X
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fmed.2022.830673
    DOI: 10.3389/fmed.2022.830673.s001
    DOI: 10.3389/fmed.2022.830673.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2775999-4
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  • 3
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    ASB17 Facilitates the Burst of LPS-Induced Inflammation Through Maintaining TRAF6 Stability
    Frontiers Media SA ; 2022
    In:  Frontiers in Cellular and Infection Microbiology Vol. 12 ( 2022-1-31)
    Details
    In: Frontiers in Cellular and Infection Microbiology, Frontiers Media SA, Vol. 12 ( 2022-1-31)
    Abstract: ASB17, a member of the ankyrin repeat and SOCS box-containing protein (ASB) family, has been supposed to act as an E3 ubiquitin ligase. Actually, little is known about its biological function. In this study, we found that ASB17 knocking-out impaired the expression of the pro-inflammatory cytokines CCL2 and IL-6 in bone marrow-derived dendritic cells (BMDCs) stimulated by lipopolysaccharide (LPS), indicating an inflammation-promoting role of this gene. We reveal that ASB17 promotes LPS-induced nuclear factor kappa B (NF-κB) signal activation through interacting with TNF receptor-associated factor 6 (TRAF6) which is a crucial adaptor protein downstream of toll-like receptors (TLR). ASB17 via its aa177–250 segment interacts with the Zn finger domain of TRAF6. The interaction of ASB17 stabilizes TRAF6 protein through inhibiting K48-linked TRAF6 polyubiquitination. Therefore, we suggest that ASB17 facilitates LPS-induced NF-κB activation by maintaining TRAF6 protein stability. The inflammation enhancer role of ASB17 is recognized here, which provides new understanding of the activation process of inflammation and immune response.
    Type of Medium: Online Resource
    ISSN: 2235-2988
    URL: Article
    DOI: 10.3389/fcimb.2022.759077
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2619676-1
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  • 4
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    DataSheet_1.docx
    Frontiers Media SA ; 2024
    In:  Frontiers in Endocrinology Vol. 15 ( 2024-3-28)
    Details
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 15 ( 2024-3-28)
    Abstract: To develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs). Material and methods The study encompassed a cohort of 942 patients, involving examinations of 1076 vertebrae through X-ray, CT, and MRI across three distinct hospitals. The OVFs were categorized as class 0, 1, or 2 based on the Assessment System of Thoracolumbar Osteoporotic Fracture. The dataset was divided randomly into four distinct subsets: a training set comprising 712 samples, an internal validation set with 178 samples, an external validation set containing 111 samples, and a prospective validation set consisting of 75 samples. The ResNet-50 architectural model was used to implement deep transfer learning (DTL), undergoing -pre-training separately on the RadImageNet and ImageNet datasets. Features from DTL and radiomics were extracted and integrated using X-ray images. The optimal fusion feature model was identified through least absolute shrinkage and selection operator logistic regression. Evaluation of the predictive capabilities for OVFs classification involved eight machine learning models, assessed through receiver operating characteristic curves employing the “One-vs-Rest” strategy. The Delong test was applied to compare the predictive performance of the superior RadImageNet model against the ImageNet model. Results Following pre-training separately on RadImageNet and ImageNet datasets, feature selection and fusion yielded 17 and 12 fusion features, respectively. Logistic regression emerged as the optimal machine learning algorithm for both DLR models. Across the training set, internal validation set, external validation set, and prospective validation set, the macro-average Area Under the Curve (AUC) based on the RadImageNet dataset surpassed those based on the ImageNet dataset, with statistically significant differences observed (P & lt;0.05). Utilizing the binary “One-vs-Rest” strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. Predicting Class 1 yielded an AUC of 0.945 and accuracy of 0.875, while for Class 2, the AUC and accuracy were 0.809 and 0.692, respectively. Conclusion The DLR model, based on the RadImageNet dataset, outperformed the ImageNet model in predicting the classification of OVFs, with generalizability confirmed in the prospective validation set.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    URL: Article
    URL: Article
    DOI: 10.3389/fendo.2024.1370838
    DOI: 10.3389/fendo.2024.1370838.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2592084-4
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  • 5
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    DataSheet_1.xlsx
    Frontiers Media SA ; 2021
    In:  Frontiers in Oncology Vol. 11 ( 2021-8-24)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-8-24)
    Abstract: Current liquid biopsy assays lack sufficient sensitivity to detect copy number loss, which limits the interrogation of critical tumor suppressor gene deletions during cancer progression and treatment. Here we describe a liquid biopsy assay with improved sensitivity for detection of copy number loss in blood samples with low levels of circulating tumor DNA, and demonstrate its utility by profiling PTEN , RB1 , and TP53 genetic loss in metastatic prostate cancer patients.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fonc.2021.720727
    DOI: 10.3389/fonc.2021.720727.s001
    DOI: 10.3389/fonc.2021.720727.s002
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2649216-7
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  • 6
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    DataSheet_1.docx
    Frontiers Media SA ; 2021
    In:  Frontiers in Endocrinology Vol. 12 ( 2021-9-13)
    Details
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 12 ( 2021-9-13)
    Abstract: Congenital growth hormone deficiency (GHD) is a rare and etiologically heterogeneous disease. We aim to screen disease-causing mutations of GHD in a relatively sizable cohort and discover underlying mechanisms via a candidate gene-based mutational burden analysis. Methods We retrospectively analyzed 109 short stature patients associated with hormone deficiency. All patients were classified into two groups: Group I (n=45) with definitive GHD and Group II (n=64) with possible GHD. We analyzed correlation consistency between clinical criteria and molecular findings by whole exome sequencing (WES) in two groups. The patients without a molecular diagnosis (n=90) were compared with 942 in-house controls for the mutational burden of rare mutations in 259 genes biologically related with the GH axis. Results In 19 patients with molecular diagnosis, we found 5 possible GHD patients received known molecular diagnosis associated with GHD ( NF1 [c.2329T & gt;A, c.7131C & gt;G], GHRHR [c.731G & gt;A], STAT5B [c.1102delC], HRAS [c.187_207dup]). By mutational burden analysis of predicted deleterious variants in 90 patients without molecular diagnosis, we found that POLR3A ( p = 0.005), SUFU ( p = 0.006), LHX3 ( p = 0.021) and CREB3L4 ( p = 0.040) represented top genes enriched in GHD patients. Conclusion Our study revealed the discrepancies between the laboratory testing and molecular diagnosis of GHD. These differences should be considered when for an accurate diagnosis of GHD. We also identified four candidate genes that might be associated with GHD.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    URL: Article
    URL: Article
    DOI: 10.3389/fendo.2021.711991
    DOI: 10.3389/fendo.2021.711991.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
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  • 7
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    Antimicrobial Activity of Lemongrass Essential Oil (Cymbopogon flexuosus) and Its Active Component Citral Against Dual-Species Biofilms of Staphylococcus aureus and Candida Species
    Frontiers Media SA ; 2020
    In:  Frontiers in Cellular and Infection Microbiology Vol. 10 ( 2020-12-22)
    Details
    In: Frontiers in Cellular and Infection Microbiology, Frontiers Media SA, Vol. 10 ( 2020-12-22)
    Abstract: Compared to mono-species biofilm, biofilms formed by cross-kingdom pathogens are more refractory to conventional antibiotics, thus complicating clinical treatment and causing significant morbidity. Lemongrass essential oil and its bioactive component citral were previously demonstrated to possess strong antimicrobial efficacy against pathogenic bacteria and fungi. However, their effects on polymicrobial biofilms remain to be determined. In this study, the efficacy of lemongrass ( Cymbopogon flexuosus ) essential oil and its bioactive part citral against dual-species biofilms formed by Staphylococcus aureus and Candida species was evaluated in vitro . Biofilm staining and viability test showed both lemongrass essential oil and citral were able to reduce biofilm biomass and cell viability of each species in the biofilm. Microscopic examinations showed these agents interfered with adhesive characteristics of each species and disrupted biofilm matrix through counteracting nucleic acids, proteins and carbohydrates in the biofilm. Moreover, transcriptional analyses indicated citral downregulated hyphal adhesins and virulent factors of Candida albicans , while also reducing expression of genes involved in quorum sensing, peptidoglycan and fatty acids biosynthesis of S. aureus . Taken together, our results demonstrate the potential of lemongrass essential oil and citral as promising agents against polymicrobial biofilms as well as the underlying mechanisms of their activity in this setting.
    Type of Medium: Online Resource
    ISSN: 2235-2988
    URL: Article
    DOI: 10.3389/fcimb.2020.603858
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2619676-1
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  • 8
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    Table_2.doc
    Frontiers Media SA ; 2018
    In:  Frontiers in Microbiology Vol. 9 ( 2018-2-16)
    Details
    In: Frontiers in Microbiology, Frontiers Media SA, Vol. 9 ( 2018-2-16)
    Type of Medium: Online Resource
    ISSN: 1664-302X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fmicb.2018.00258
    DOI: 10.3389/fmicb.2018.00258.s001
    DOI: 10.3389/fmicb.2018.00258.s002
    DOI: 10.3389/fmicb.2018.00258.s003
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2018
    detail.hit.zdb_id: 2587354-4
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  • 9
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    DataSheet1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Genetics Vol. 13 ( 2022-7-1)
    Details
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 13 ( 2022-7-1)
    Abstract: Background: Non-invasive prenatal diagnosis (NIPD) can identify monogenic diseases early during pregnancy with negligible risk to fetus or mother, but the haplotyping methods involved sometimes cannot infer parental inheritance at heterozygous maternal or paternal loci or at loci for which haplotype or genome phasing data are missing. This study was performed to establish a method that can effectively recover the whole fetal genome using maternal plasma cell-free DNA (cfDNA) and parental genomic DNA sequencing data, and validate the method’s effectiveness in noninvasively detecting single nucleotide variations (SNVs), insertions and deletions (indels). Methods: A Bayesian model was developed to determine fetal genotypes using the plasma cfDNA and parental genomic DNA from five couples of healthy pregnancy. The Bayesian model was further integrated with a haplotype-based method to improve the inference accuracy of fetal genome and prediction outcomes of fetal genotypes. Five pregnancies with high risks of monogenic diseases were used to validate the effectiveness of this haplotype-assisted Bayesian approach for noninvasively detecting indels and pathogenic SNVs in fetus. Results: Analysis of healthy fetuses led to the following accuracies of prediction: maternal homozygous and paternal heterozygous loci, 96.2 ± 5.8%; maternal heterozygous and paternal homozygous loci, 96.2 ± 1.4%; and maternal heterozygous and paternal heterozygous loci, 87.2 ± 4.7%. The respective accuracies of predicting insertions and deletions at these types of loci were 94.6 ± 1.9%, 80.2 ± 4.3%, and 79.3 ± 3.3%. This approach detected pathogenic single nucleotide variations and deletions with an accuracy of 87.5% in five fetuses with monogenic diseases. Conclusions: This approach was more accurate than methods based only on Bayesian inference. Our method may pave the way to accurate and reliable NIPD.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    URL: Article
    URL: Article
    DOI: 10.3389/fgene.2022.911369
    DOI: 10.3389/fgene.2022.911369.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2606823-0
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  • 10
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    Image_1.pdf
    Frontiers Media SA ; 2023
    In:  Frontiers in Immunology Vol. 14 ( 2023-1-24)
    Details
    In: Frontiers in Immunology, Frontiers Media SA, Vol. 14 ( 2023-1-24)
    Abstract: Porcine epidemic diarrhea virus (PEDV) mainly infects the intestinal epithelial cells of pigs, causing porcine epidemic diarrhea (PED). In particular, the virus causes severe diarrhea, dehydration, and death in neonatal piglets. Maternal immunity effectively protects neonatal piglets from PEDV infection; however, maternal antibodies can only prevent PEDV attachment and entry into target cells, but have no effects on intracellular viruses. Intracellular antibodies targeting virus-encoded proteins are effective in preventing viral infection. We previously identified four single chain variable fragments (scFvs), ZW1-16, ZW3-21, ZW1-41, and ZW4-16, which specifically targeted the PEDV N protein and significantly inhibited PEDV replication and up-regulated interferon-λ1 (IFN-λ1) expression in host cells. In our current study, the four scFvs were subcloned into replication-defective adenovirus vectors to generate recombinant adenoviruses rAdV-ZW1-16, rAdV-ZW3-21, rAdV-ZW1-41, and rAdV-ZW4-16. ScFvs were successfully expressed in Human Embryonic Kidney 293 (HEK293) cells and intestinal porcine epithelial cell line J2 (IPEC-J2) and were biosafe for piglets as indicated by body temperature and weight, scFv excretion in feces, IFN-γ and interleukin-4 (IL-4) expression in jejunum, and pathological changes in porcine tissue after oral administration. Western blotting, immunofluorescence, and immunohistochemical analyses showed that scFvs were expressed in porcine jejunum. The prophylactic effects of rAdV-ZW, a cocktail of the four rAdV-scFvs, on piglet diarrhea caused by PEDV was investigated. Clinical symptoms in piglets orally challenged with PEDV, following a two-time treatment with rAdV-ZW, were significantly reduced when compared with PEDV-infected piglets treated with phosphate buffered saline (PBS) or rAdV-wild-type. Also, no death and jejunal lesions were observed. ScFv co-localization with the PEDV N protein in vivo was also observed. Next, the expression of pro-inflammatory serum cytokines such as tumor necrosis factor-α (TNF-α), IL-6, IL-8, IL-12, and IFN-λ was assessed by enzyme-linked immunosorbent assay (ELISA), which showed that scFvs significantly suppressed PEDV-induced pro-inflammatory cytokine expression and restored PEDV-inhibited IFN-λ expression. Therefore, our study supported a promising role for intracellular scFvs targeting the PEDV N protein to prevent and treat diarrhea in PEDV-infected piglets.
    Type of Medium: Online Resource
    ISSN: 1664-3224
    URL: Article
    URL: Article
    DOI: 10.3389/fimmu.2023.1058327
    DOI: 10.3389/fimmu.2023.1058327.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2606827-8
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