Background: Pediatric solid tumors are a common malignant disease in children, and more and more studies have proved that there is an inseparable relationship between adult tumors and intestinal microbiome, but the changes in the intestinal microbiota of pediatric solid tumor (PST) patients have been scarcely examined. This study aims to examine the differences in the intestinal microbiota features between patients diagnosed with PST and healthy controls (HCs).
Methods: To elucidate the unique characteristics of the gut microbiota in pediatric patients with solid tumors, we recruited 23 PST patients and 20 HCs. A total of 43 stool samples were gathered, and then 16S rRNA sequencing was performed.
Results: We noticed a noticeable pattern of elevated diversity in the gut microbiota within the PST groups. The differences in microbial communities among two groups were remarkable, regarding the analysis at the class level, the abundance of was markedly increased in PST patients compared to HCs ( < 0.05), regarding the analysis at the genus level, The presence of was significantly higher in PST cases compared to HCs ( < 0.01), while and in PST cases, the abundance was significantly reduced. ( < 0.05), 6 genera, including and , showed a significant enrichment compared to healthy controls, while 10 genera, including and , were significant reduction in the PST groups.
Conclusion: Our research conducted the characterization analysis of the gut microbiota in PST patients for the first time. More importantly, there are some notable differences in the gut microbiota between PST patients and healthy controls, which we believe is an interesting finding.
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http://dx.doi.org/10.3389/fped.2024.1388673 | DOI Listing |
Drug Resist Updat
January 2025
Loma Linda University Cancer Center, Loma Linda, CA 92354, United States; Department of Basic Sciences, Loma Linda University, Loma Linda, CA 92354, United States. Electronic address:
Chromosomal rearrangements (CR) initiate leukemogenesis in approximately 50 % of acute myeloid leukemia (AML) patients; however, limited targeted therapies exist due to a lack of accurate molecular and genetic biomarkers of refractory mechanisms during treatment. Here, we investigated the pathological landscape of treatment resistance and relapse in 16 CR-AML patients by monitoring cytogenetic, RNAseq, and genome-wide changes among newly diagnosed, refractory, and relapsed AML. First, in FISH-diagnosed KMT2A (MLL gene, 11q23)/AFDN (AF6, 6q27)-rearrangement, RNA-sequencing identified an unknown CCDC32 (15q15.
View Article and Find Full Text PDFJ Chromatogr B Analyt Technol Biomed Life Sci
January 2025
Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Research Center of New Material and Green Chemistry, Khazar University, 41 Mehseti Street, Baku AZ1096, Azerbaijan. Electronic address:
Free fentanyl is responsible for its pharmacological effects, but its total concentration is typically determined for therapeutic drug monitoring purposes. Determination of fentanyl concentration can help reduce the prescribed doses, leading to fewer side effects and increased effectiveness. Therefore, predicting free drug concentration in pharmaceutical research is crucial.
View Article and Find Full Text PDFTransl Pediatr
December 2024
Department of Hematology, Chongqing Medical University Affiliated Children's Hospital, Chongqing, China.
Background: Post-transplant lymphoproliferative disease (PTLD) is a significant complication that can arise following solid organ transplantation or hematopoietic stem cell transplantation. It encompasses a spectrum of lymphoproliferative lesions, ranging from benign reactive hyperplasia to malignant tumors, and is among the most severe complications following liver transplantation in children. It is essential for clinicians to gain a comprehensive understanding of the prevention, clinical manifestations, early diagnosis, and treatment strategies for PTLD in order to reduce mortality rates.
View Article and Find Full Text PDFCureus
January 2025
General Practice, Wad Medani Hospital, Wad Medani, SDN.
To enhance patient outcomes in pediatric cancer, a better understanding of the medical and biological risk variables is required. With the growing amount of data accessible to research in pediatric cancer, machine learning (ML) is a form of algorithmic inference from sophisticated statistical techniques. In addition to highlighting developments and prospects in the field, the objective of this systematic study was to methodically describe the state of ML in pediatric oncology.
View Article and Find Full Text PDFKlin Padiatr
January 2025
Department Of Pediatrics, Division of Pneumology, Allergology, Infectious Diseases and Gastroenterology, Goethe University Frankfurt, Frankfurt am Main, Germany.
Premastication is a traditional feeding method whereby solids are pre-chewed by the mother or sometimes by other relatives and then given to the infant along with the oral microbiota. The aim of this study was to assess if premastication is known or performed among the German population as well as to evaluate the expectations regarding this feeding method, particularly in the context of allergy prevention. Two surveys about premastication were conducted.
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