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001), being published in the Post-PRISMA period (P = 0.025) and geographic origin from Asia (P = 0.025) or South America (P = 0.015) were significantly associated with higher reporting quality.

The reporting quality of SR abstracts in operative dentistry had improved significantly after the publication of PRISMA-A, but was still suboptimal. Researchers, reviewers and journal editors in operative dentistry need to be familiar with the PRISMA-A checklist, and make concerted efforts to improve the reporting of SR abstracts.

The reporting quality of SR abstracts in operative dentistry had improved significantly after the publication of PRISMA-A, but was still suboptimal. Researchers, reviewers and journal editors in operative dentistry need to be familiar with the PRISMA-A checklist, and make concerted efforts to improve the reporting of SR abstracts.

The high-throughput analysis of gene expression in ionizing radiation (IR)-exposed human peripheral white blood cells (WBC) has emerged as a novel method for biodosimetry markers detection. We aimed to detect IR-exposure differential expressed genes (DEGs) as potential predictive biomarkers for biodosimetry and radioinduced-response.

We performed a meta-analysis of raw data from public microarrays of ex vivo low linear energy transfer-irradiated human peripheral WBC. Functional enrichment and transcription factors (TF) detection from resulting DEGs were assessed. Six selected DEGs among studies were validated by qRT-PCR on mRNA from human peripheral blood samples from nine healthy human donors 24h after ex vivo X-rays-irradiation.

We identified 275 DEGs after IR-exposure (parameters |lfc|≥0.7, q value <0.05), enriched in processes such as regulation after IR-exposure, DNA damage checkpoint, signal transduction by p53 and mitotic cell cycle checkpoint. Among these DEGs, DRAM1, NUDT15, PCNA, PLK2 and TIGAR were selected for qRT-PCR validation. Their expression levels significantly increased at 1-4Gy respect to non-irradiated controls. Particularly, PCNA increased dose dependently. Curiously, TCF4 (Entrez Gene 6925), detected as overrepresented TF in the radioinduced DEGs set, significantly decreased post-irradiation.

These six DEGs show potential to be proposed as candidates for IR-exposure biomarkers, considering their observed molecular radioinduced-response. Among them, TCF4, bioinformatically detected, was validated herein as an IR-responsive gene.

These six DEGs show potential to be proposed as candidates for IR-exposure biomarkers, considering their observed molecular radioinduced-response. Among them, TCF4, bioinformatically detected, was validated herein as an IR-responsive gene.

A wide variation of MRI systems is a challenge in multicenter imaging biomarker studies as it adds variation in quantitative MRI values. Epigenetic Reader Domain inhibitor The aim of this study was to design and test a quality assurance (QA) framework based on phantom measurements, for the quantitative MRI protocols of a multicenter imaging biomarker trial of locally advanced cervical cancer.

Fifteen institutes participated (five 1.5T and ten 3T scanners). Each institute optimized protocols for T2, diffusion-weighted imaging, T1, and dynamic contrast-enhanced (DCE-)MRI according to system possibilities, institutional preferences and study-specific constraints. Calibration phantoms with known values were used for validation. Benchmark protocols, similar on all systems, were used to investigate whether differences resulted from variations in institutional protocols or from system variations. Bias, repeatability (%RC), and reproducibility (%RDC) were determined. Ratios were used for T2 and T1 values.

The institutional protocols showed a ranhallenging.

Esophageal Squamous Cell Carcinoma (ESCC) is an aggressive malignancy, leading to more than 250,000 deaths in China every year. However, the pathogenesis of ESCC remains unclear, which hinders the diagnosis and treatment of the disease in clinic.

To elucidate underlying mechanism and identify potential biomarkers, an integrative strategy of combining transcriptome and metabolome has been implemented to find potential causal genes and metabolites for ESCC.

At the transcriptional level, dysregulated genes in ESCC patients were identified and pathway enrichment analysis discovered tyrosine metabolic pathway as a promising target. Subsequently, up- and down-stream metabolites of tyrosine pathway were explored through targeted metabolome approach. Five metabolites, i.e. phenylalanine, 4-hydroxyphenyllactic acid, 3,4-dihydroxyphenylalanine, 3,4-dihydroxyphenylacetic acid and tyrosine were identified as diagnosis biomarkers for ESCC and metastatic ESCC patients. A biological model incorporating both transcriptional and metabolic dysregulation was also established to illustrate the potential mechanism of tumorigenesis and metastasis for ESCC.

Integrative transcriptomics and metabolomics analysis suggested that tyrosine pathway was essential for the tumorigenesis and metastasis of ESCC primarily through altering immune response and regulating tumor microenvironment. This research sheds light on the pathogenesis of ESCC and discovers potential biomarkers for the diagnosis of the disease.

Integrative transcriptomics and metabolomics analysis suggested that tyrosine pathway was essential for the tumorigenesis and metastasis of ESCC primarily through altering immune response and regulating tumor microenvironment. This research sheds light on the pathogenesis of ESCC and discovers potential biomarkers for the diagnosis of the disease.

To assess the value of multiparametric magnetic resonance imaging including intravoxel incoherent motion (IVIM), diffusion tensor imaging (DTI) and blood oxygen level dependent (BOLD) MRI in differentiating the severity of hepatic warm ischemia-reperfusion injury (WIRI) in a rabbit model.

Fifty rabbits were randomly divided into a sham-operation group and four test groups (n=10 for each group) according to different hepatic warm ischemia times. IVIM, DTI and BOLD MRI were performed on a 3T MR scanner with 11 b values (0 to 800s/mm

), 2 b values (0 and 500s/mm

) on 12 diffusion directions, multiple-echo gradient echo (GRE) sequences (TR/TE, 75/2.57-24.25ms), respectively. IVIM, DTI and BOLD MRI parameters, hepatic biochemical and histopathological parameters were compared. Pearson and Spearman correlation methods were performed to assess the correlation between these MRI parameters and laboratory parameters. Furthermore, receiver operating characteristic (ROC) curves were compiled to determine diagnostic efficacies.