BackgroundSince the outbreak of COVID-19, a series of preventive and control measures in China have been used to effectively curb the spread of COVID-19. This study aimed to analyze the epidemiological characteristics of Mycoplasma pneumoniae (MP) and Chlamydia pneumoniae (CP) in hospitalized children with acute respiratory tract infection during the COVID-19 pandemic.MethodsMP IgM antibody and CP IgM antibody were detected in all hospitalized children due to acute respiratory tract infection in the Children’s Hospital Affiliated to Zhejiang University from January 2019 to December 2020. These data were compared between 2019 and 2020 based on age and month.ResultsThe overall detection rate of MP and CP in 2020 was significantly lower than that in 2019 (MP: 21.5% vs 32.9%, P<0.001; CP: 0.3% vs 0.9%, P<0.001). This study found a 4-fold reduction in the number of children positive for MP and a 7.5-fold reduction in the number of children positive for CP from 2019 to 2020. The positive cases were concentrated in children aged >1 year old. In 2019, the positive rate of MP was detected more commonly in children 3 years of age or older than in younger children. In 2020, the higher positive rate of MP reached a peak in the 3- to 6-year age group (35.3%). CP was detected predominantly in children aged 6 years older in 2019 and 2020, with positive rates of 4.8% and 2.6%, respectively. Meanwhile, the positive rates of MP in 2019 were detected more commonly in July, August and September, with 47.2%, 46.7% and 46.3%, respectively. Nevertheless, the positive rates of MP from February to December 2020 apparently decreased compared to those in 2019. The positive rates of CP were evenly distributed throughout the year, with 0.5%-1.6% in 2019 and 0.0%-2.1% in 2020.ConclusionsA series of preventive and control measures for SARS-CoV-2 during the COVID-19 pandemic can not only contain the spread of SARS-CoV-2 but also sharply improve the infection of other atypical pathogens, including MP and CP.

BackgroundThis study aimed to evaluate gene expression patterns in urinary sediment samples of children with steroid-resistant nephrotic syndrome (SRNS).MethodsThe messenger RNA (mRNA) levels of 770 immune-related genes were detected using a NanoString nCounter platform. To verify the NanoString results, quantitative analysis of nine gene mRNAs was performed using real-time RT-PCR in more samples.ResultsFirstly, compared with the steroid-sensitive nephrotic syndrome (SSNS) group (n=3), significant changes were observed in the mRNA level of 70 genes, including MAP3K14, CYBA, SLC3A2, CREB-binding protein (CREBBP), CD68, forkhead box P1 (FOXP1), CD74, ITGB2, IFI30, and so forth, in the SRNS group (n=3). A total of 129 children with idiopathic nephrotic syndrome (INS), 15 with acute glomerulonephritis, and 6 with immunoglobulin A nephropathy (IgAN) were enrolled to verify the NanoString results. Compared with patients with IgAN, those with INS had significantly lower levels of FOXP1 (P=0.047) and higher levels of CREBBP (P=0.023). Among SSNS, the mRNA level of ITGB2 was significantly lower in the non-relapse group than in the non-frequent relapse and frequent-relapse groups (P=0.006). Compared with the SSNS group, CREBBP was significantly elevated in the SRNS group (P=0.02). Further, CYBA significantly decreased in the SRNS group (P=0.01). The area under the curve (AUC) for CREBBP and CYBA was 0.655 and 0.669, respectively. CREBBP had a sensitivity of 83.3% and a specificity of 49.4% and CYBA had a sensitivity of 58.3% and a specificity of 83.1% to rule out SSNS and SRNS. The diagnosis value was better for CREBBP+CYBA than for CREBBP or CYBA alone, indicating that the combination of CREBBP and CYBA was a more effective biomarker in predicting steroid resistance (AUC=0.666; sensitivity=63.9%; specificity=76.4%).ConclusionsThis study was novel in investigating the urinary sediment mRNA level in children with INS using high-throughput NanoString nCounter technology, and 70 genes that may relate to SRNS were found. The results revealed that the urinary sediment mRNA level of ITGB2 was significantly lower in the non-relapse group than in the non-frequent relapse and frequent-relapse groups. Meanwhile, CREBBP was significantly elevated and CYBA was significantly lowered in the SRNS group compared with the SSNS group.

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Background: Rhabdomyosarcoma (RMS) and neuroblastoma (NB) are highly malignant soft tissue sarcoma with tendency to metastasize. Due to the similarities in clinical manifestations and imaging features between RMS and NB, they are often misdiagnosed, which resulted in improper treatment progression of the mass. On the other hand, the treatment paradigm for patients with metastasis RMS/NB and non-metastasis RMS/NB is different. Preoperative abdominal magnetic resonance imaging (MRI) can provide valuable information for differential diagnosis and metastasis prediction to support surgical decisions. This study aimed to develop MRI-based whole-volume tumor radiomic signatures for differential diagnosis and metastasis prediction. Methods: We retrospectively sampled 40 patients (21 patients with RMS and 19 patients with NB). Using least absolute shrinkage and selection operator (LASSO) regression and stepwise logistic regression, a classification model and a metastasis prediction model based on MRI radiomic signatures were constructed. Nomograms were established by integrating the MRI information for better classification and prediction. Harrell's concordance index (C-index) and time-dependent receiver operating characteristic (ROC) curves were used as performance evaluating metrics. Results: The nomograms consisting of radiomic signatures demonstrated good discrimination and calibration in classification (area under the curve [AUC]=89.97%) and metastasis prediction (AUC=82.25%). The calibration curve and GiViTI calibration belt value analysis indicated that the radiomic nomograms can be used in clinical practice. Conclusions: MRI-based whole-tumor radiomic signatures have excellent performance for differential diagnosis and metastasis prediction in pediatric RMS and NB. Radiomic nomograms may aid in preoperative risk assessment and guide personalized treatment strategies for pediatric soft tissue sarcomas.