Ontology highlight
ABSTRACT:
PROVIDER: PRJNA663638 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12647600_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR12647601_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR12647602_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR12647603_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR12647604_subreads.fastq.gz | Fastqsanger.gz |
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Project description:Tracking Closely Related Enteric Bacteria at High Resolution in Fecal Samples of Premature Infants Using a Novel rRNA Amplicon
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Project description:Tracking Closely Related Enteric Bacteria at High Resolution in Fecal Samples of Premature Infants Using a Novel rRNA Amplicon
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Project description:<p class='ql-align-justify'>The gut microbiome has been associated with pathological neurophysiological evolvement in extremely premature infants suffering from brain injury. The exact underlying mechanism and its associated metabolic signatures in infants are not fully understood. To decipher metabolite profiles linked to neonatal brain injury, we investigated the longitudinal fecal and plasma metabolome of 51 extremely premature infants using LC-HRMS-based untargeted metabolomics. This was expanded by an investigation of bile acids and amidated bile acid conjugates in feces and plasma by LC-MS/MS-based targeted metabolomics. The resulting data was integrated with 16S rRNA gene amplicon gut microbiome profiles as well as patient cytokine, growth factor and T-cell profiles. We identified an early onset of differentiation in neuroactive metabolites and bile acids between infants with and without brain injury. We detected several bacterially-derived bile acid amino acid conjugates and secondary bile acids in the plasma already 3 days after delivery, indicating the early establishment of a metabolically active gut microbiome. These results give new insights into the early life metabolome of extremely premature infants.</p>
2023-12-30 | MTBLS7560 | MetaboLights
Project description:This study presents a validated, open-source QIIME2- and R-based pipeline for 16S rRNA gene profiling using multi-amplicon sequencing. It aims to overcome the limitations of commercial, closed-source tools by offering a standardized and reproducible workflow. The pipeline was benchmarked against proprietary software using five mock communities and 12 child–caregiver fecal sample pairs, showing nearly identical microbial profiles, greater sequencing depth, and improved taxonomic resolution. High reproducibility (R = 0.99, p < 0.0001) was achieved across all datasets. Application to pediatric cancer samples revealed distinct Bifidobacterium variants in children whose microbiota closely matched their caregivers’. This highlights the pipeline’s utility in studying microbial relationships. Overall, the pipeline supports transparent, adaptable, and accurate microbiome analysis, advancing research in both clinical and experimental settings while promoting open-source solutions for reproducible science.
2025-07-14 | GSE300047 | GEO
Project description:Necrotizing enterocolitis (NEC) is an acute and life-threatening gastrointestinal disorder afflicting preterm infants, which is currently unpreventable. Fecal microbiota transplantation (FMT) is a promising preventative therapy, but potential bacterial infection raise concern. Removal of bacteria from donor feces may reduce this risk while maintaining the NEC-preventive effects. We aimed to assess preclinical efficacy and safety of bacteria-free fecal filtrate transfer (FFT). Using fecal material from healthy suckling piglets, we administered FMT rectally, or cognate FFT either rectally or oro-gastrically to formula-fed preterm, cesarean-delivered piglets as a model for preterm infants, We compared gut pathology and related safety parameters with saline controls, and analyzed ileal mucosal transcriptome to gauge the host e response to FMT and FFT treatments relative to control. Results showed that oro-gastric FFT prevented NEC, whereas FMT did not perform better than control. Moreover, FFT but not FMT reduced intestinal permeability, whereas FMT animals had reduced body weight increase and intestinal growth. Global gene expression of host mucosa responded to FMT but not FFT with increased and decreased bacterial and viral defense mechanisms, respectively. In conclusion, as preterm infants are extremely vulnerable to enteric bacterial infections, rational NEC-preventive strategies need incontestable safety profiles. Here we show in a clinically relevant animal model that FFT, as opposed to FMT, efficiently prevents NEC without any recognizable side effects. If translatable to preterm infants, this could lead to a change of practice and in turn a reduction in NEC burden.
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Project description:<p><strong>BACKGROUND:</strong> The human intestinal microbiome plays a central role in overall health status, especially in early life stages. 16S rRNA amplicon sequencing is used to profile its taxonomic composition; however, multiomic approaches have been proposed as the most accurate methods for study of the complexity of the gut microbiota. In this study, we propose an optimized method for bacterial diversity analysis that we validated and complemented with metabolomics by analyzing fecal samples.</p><p><strong>METHODS:</strong> Forty-eight different analytical combinations regarding (1) 16S rRNA variable region sequencing, (2) a feature selection approach, and (3) taxonomy assignment methods were tested. A total of 18 infant fecal samples grouped depending on the type of feeding were analyzed by the proposed 16S rRNA workflow and by metabolomic analysis.</p><p><strong>RESULTS:</strong> The results showed that the sole use of V4 region sequencing with ASV identification and VSEARCH for taxonomy assignment produced the most accurate results. The application of this workflow showed clear differences between fecal samples according to the type of feeding, which correlated with changes in the fecal metabolic profile.</p><p><strong>CONCLUSION:</strong> A multiomic approach using real fecal samples from 18 infants with different types of feeding demonstrated the effectiveness of the proposed 16S rRNA-amplicon sequencing workflow.</p>
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Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.
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Project description:We analyzed the TCRR beta for premature infants at various postmenstrual ages along with term born control infants.
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