Residual protein analysis by SDS-PAGE in clinically manufactured BM-MSC products.

Residual substances that are considered hazardous to the recipient must be removed from final cellular therapeutic products manufactured for clinical purposes. In doing so, quality rules determined by competent authorities (CAs) for the clinical use of tissue- and cell-based products can be met. In our study, we carried out residual substance analyses, and purity determination studies of trypsin and trypsin inhibitor in clinically manufactured bone marrow-derived mesenchymal stromal/stem cell products, using the sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) method. Despite being a semiquantitative method, SDS-PAGE has several benefits over other methods for protein analysis, such as simplicity, convenience of use, and affordability. Due to its convenience and adaptability, SDS-PAGE is still a commonly used method in many laboratories, despite its limits in dynamic range and quantitative precision. Our goal in this work was to show that SDS-PAGE may be used effectively for protein measurement, especially where practicality and affordability are the major factors. The results of our study suggest a validated method to guide tissue and cell manufacturing sites for making use of an agreeable, accessible, and cost-effective method for residual substance analyses in clinically manufactured cellular therapies.

Microbiological investigation of samples collected from healthy middle ears during cochlear implant surgery.

This study aimed to investigate the bacteriome in microscopically healthy middle ear mucosa using Next-generation sequencing (NGS) technology. A total of 60 middle ear washing fluids of pediatric and adult were obtained from 47 patients (35 children and 12 adults). Both children and adults with normal middle ears harbored diverse bacteriome. Seventeen different genera with a mean relative abundance of more than 1% were detected in all samples. Both in adult and children, the most abundant genus was Propionibacterium followed by Streptococcus, Staphylococcus, and Ralstonia. The species Propionibacterium acnes and Corynebacterium tuberculostearicum were significantly more abundant in the adult group. Although there were differences in the prevalence and relative abundance of some bacteria observed from adult and child groups, no specific genus or species was detected only in children or adults.

The bacteriome of otitis media with effusion: Does it originate from the adenoid?

OBJECTIVE: The aim of this study was to evaluate the composition and the diversity of bacteriome in middle ear effusion (MEE) and adenoid specimens of pediatric patients having otitis media with effusion (OME). MATERIALS AND METHODS: Sample collection from children with OME followed by next generation sequencing. Seventeen adenoid and 43 middle ear effusion specimens from 25 children having OME were evaluated. Microbiome analysis was performed via Ion 16S rRNA metagenomics kit. RESULTS: Twenty-two different bacterial species were identified from all of the samples analyzed. There were variations in the prevalence and relative abundance of the bacteriome observed between adenoid and MEE samples. MEE microbiome was significantly dominated by Alloicoccus otitis (44%), Turicella otitidis (6%), and Staphylococcus auricularis (3%). Whereas, Rothia mucilaginosa (39%), R. dentocariosa (11%), S. aureus (5%), Veillonella rogosae (2%), Granulicatella elegans (2%), Granulicatella adiacens (2%), Eikenella corrodens (1%), and Prevotella nanceiensis (1%) had significantly higher relative abundance in adenoid samples. Overall, there was no statistically significant difference in alpha diversity of MEE and adenoid samples, whereas adenoid samples constituted a cluster in the beta diversity graph. CONCLUSION: Bacteriome of MEE is mostly dominated by A. otitis yet accompanied by other bacteria with lower relative abundances suggests that OME is likely to be a polymicrobial process. Despite similarities, significant differences in relative abundances of several predominant species between bacteriome in the MEE and adenoid put the theory that OME in children is originated from the adenoids under question.

Analysis of the effect of smoking on the buccal microbiome using next-generation sequencing technology.

PURPOSE: This study aimed to investigate the effect of smoking on the buccal microbiome and to analyse the descriptive ability of each of the seven hypervariable regions in their 16S rRNA genes. METHODOLOGY: Microbiome compositions of 40 buccal swab samples collected from smokers (n =20) and non-smokers (n =20) were determined using 16S rRNA sequencing. Seven different 16S rRNA hypervariable regions (V2, V3, V4, V6-7, V8 and V9) in each sample were amplified using the Ion Torrent 16S Metagenomics kit and were sequenced on the Ion S5 instrument. RESULTS: Seven hypervariable regions in the 16S rRNA gene were successfully sequenced for all samples tested. The data obtained with the V2 region was found to be informative but the consensus data generated according to a number of operational taxonomic unit reads gathered from all seven hypervariable regions gave the most accurate result. At the phylum level, no statistically significant difference was found between smokers and non-smokers whereas relative abundances of Veillonella atypica, Streptococcus australis, Prevotella melaninogenica, Prevotella salivae and Rothia mucilaginosa showed significant increases in the smoker group (P-adj=0.05). Alpha diversity results did not show a significant difference between the two groups; however, beta diversity analysis indicated that samples of smoker and non-smoker groups had a tendency to be clustered within themselves. CONCLUSION: The results of the current study indicate that smoking is a factor influencing buccal microbiome composition. In addition, sequencing of all seven hypervariable regions yielded more accurate results than those with any of the single variable regions.