Important biological information uncovered in previously unaligned reads from chromatin immunoprecipitation experiments (ChIP-Seq)

The gut, vaginal, and urine microbiome in overactive bladder: a systematic review

INTRODUCTION AND HYPOTHESIS

The objective was to systemically review the current literature on the association of gut, vaginal, and urinary dysbiosis in female patients with overactive bladder (OAB).

METHODS

We performed a comprehensive literature search following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocols for systematic reviews. In the EMBASE, CINAHL, and Medline databases, a search was conducted using key words such as "microbiome," "microbiota," "microflora," "overactive bladder," "urge," "gut," "vaginal." Articles were screened using the online tool www.covidence.org . Two independent reviewers screened studies at each stage and resolved conflicts together. We excluded papers that discussed pediatric patients and animal studies. In total, 13 articles met this criterion, which included 6 abstracts.

RESULTS

After identifying 817 unique references, 13 articles met the criteria for data extraction. Articles were published from 2017 to 2021. No study reported the same microbiota abundance, even in healthy individuals. Overall, there was a loss of bacterial diversity in OAB patients compared with controls. Additionally, the bacterial composition of the controls and OAB patients was not significantly different, especially if the urine was collected midstream. Overall, the composition of the microbiome is dependent on the specimen collection methodology, and the metagenomic sequencing technique utilized. OAB urine microbiome is more predisposed to alteration from the gut or vaginal influences than in controls.

CONCLUSIONS

Current evidence suggested a potential relationship among gut, vaginal, and urinary microbiome in OAB patients, but there are very limited studies.

From trash to treasure: detecting unexpected contamination in unmapped NGS data

Background

Next Generation Sequencing (NGS) experiments produce millions of short sequences that, mapped to a reference genome, provide biological insights at genomic, transcriptomic and epigenomic level. Typically the amount of reads that correctly maps to the reference genome ranges between 70% and 90%, leaving in some cases a consistent fraction of unmapped sequences. This ’misalignment’ can be ascribed to low quality bases or sequence differences between the sample reads and the reference genome. Investigating the source of the unmapped reads is definitely important to better assess the quality of the whole experiment and to check for possible downstream or upstream ’contamination’ from exogenous nucleic acids.

Results

Here we propose DecontaMiner, a tool to unravel the presence of contaminating sequences among the unmapped reads. It uses a subtraction approach to identify bacteria, fungi and viruses genome contamination. DecontaMiner generates several output files to track all the processed reads, and to provide a complete report of their characteristics. The good quality matches on microorganism genomes are counted and compared among samples. DecontaMiner builds an offline HTML page containing summary statistics and plots. The latter are obtained using the state-of-the-art D3 javascript libraries. DecontaMiner has been mainly used to detect contamination in human RNA-Seq data. The software is freely available at http://www-labgtp.na.icar.cnr.it/decontaminer.

Conclusions

DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further investigation and experimental validation. The novelty of DecontaMiner is mainly represented by its easy integration with the standard procedures of NGS data analysis, while providing a complete, reliable, and automatic pipeline.

Electronic supplementary material

The online version of this article (10.1186/s12859-019-2684-x) contains supplementary material, which is available to authorized users.