The presence of residual undifferentiated pluripotent stem cells (PSCs) in PSC-derived cell therapy products (CTPs) is a major safety issue for their clinical application, due to the potential risk of PSC-derived tumor formation. An international multidisciplinary multisite study to evaluate a droplet digital PCR (ddPCR) approach to detect residual undifferentiated PSCs in PSC-derived CTPs was conducted as part of the Health and Environmental Sciences Institute Cell Therapy-TRAcking, Circulation & Safety Technical Committee. To evaluate the use of ddPCR in quantifying residual iPSCs in a cell sample, different quantities of induced pluripotent stem cells (iPSCs) were spiked into a background of iPSC-derived cardiomyocytes (CMs) to mimic different concentrations of residual iPSCs. A one step reverse transcription ddPCR (RT-ddPCR) was performed to measure mRNA levels of several iPSC-specific markers and to evaluate the assay performance (precision, sensitivity, and specificity) between and within laboratories. The RT-ddPCR assay variability was initially assessed by measuring the same RNA samples across all participating facilities. Subsequently, each facility independently conducted the entire process, incorporating the spiking step, to discern the parameters influencing potential variability. Our results show that a RT-ddPCR assay targeting ESRG, LINC00678, and LIN28A genes offers a highly sensitive and robust detection of impurities of iPSC-derived CMs and that the main contribution to variability between laboratories is the iPSC-spiking procedure, and not the RT-ddPCR. The RT-ddPCR assay would be generally applicable for tumorigenicity evaluation of PSC-derived CTPs with appropriate marker genes suitable for each CTP.

Many species of intestinal bacteria are present in moderate numbers in the faecal microbiota, which is dominated by obligate anaerobes. Little is known regarding the detection sensitivity of next-generation sequencing for these microbes in samples of complex microbiota.
Twenty stool samples from six healthy infants, who were followed from 1 week to 1 year of age, were previously cultured quantitatively for total population counts, as well as for counts of relevant facultative bacteria and a limited selection of obligate anaerobes that are prevalent in the neonatal microbiota. The same samples were analysed by Next-generation sequencing (NGS, pyrosequencing) of the 16S rRNA gene (V1-V3 regions; average read length, 500 nucleotides; average number of reads per sample, 30,000). We used the bacterial culture data to determine the lowest bacterial populations that could be detected by NGS. Different DNA extraction kits (QIAamp DNA Stool Mini, ZR Faecal DNA MiniPrep, and PowerSoil DNA Isolation) were compared for efficacy in extracting DNA from Gram-negative and Gram-positive Type strains.
NGS yielded one read per 106 CFU/g faeces of the Gram-negative commensal gut bacteria Bacteroides and Enterobacteriaceae, but only one read per 108 CFU/g faeces of Gram-positive bifidobacteria. The Gram-positive facultative bacteria Enterococcus was often undetectable by DNA-based methods despite being present at >106 CFU/g faeces. The DNA extraction kits tested varied considerably in their ability to extract DNA from bacterial samples, and showed considerably lower efficacies in extracting DNA from Gram-positive than from Gram-negative bacteria.
NGS has lower sensitivity for detecting Gram-positive bacteria than Gram-negative bacteria, due at least in part to inefficient extraction of DNA from Gram-positive bacteria. Therefore, enzymatic lysis may enhance the yield of DNA and increase the sensitivity of NGS methods for Gram-positive bacteria, and the inclusion of positive and negative controls during DNA extraction is indicated for validation purposes. The differential extraction of DNA from bacterial samples by different DNA extraction kits may limit comparability between studies on the gut microbiota. Finally, quantitative culture methods detect certain bacteria with greater sensitivity than NGS techniques, and thus culture- and DNA-based methods can be used in tandem to define the complex composition of the gut microbiota with greater accuracy.

Currently, there is no method for providing a nonverbal objective assessment of pain. Recent work using functional near-infrared spectroscopy (fNIRS) has revealed its potential for objective measures. We conducted two fNIRS scans separated by 30 min and measured the hemodynamic response to the electrical noxious and innocuous stimuli over the anterior prefrontal cortex (aPFC) in 14 subjects. Based on the estimated hemodynamic response functions (HRFs), we first evaluated the test-retest reliability of using fNIRS in measuring the pain response over the aPFC. We then proposed a general linear model (GLM)-based detection model that employs the subject-specific HRFs from the first scan to detect the pain response in the second scan. Our results indicate that fNIRS has a reasonable reliability in detecting the hemodynamic changes associated with noxious events, especially in the medial portion of the aPFC. Compared with a standard HRF with a fixed shape, including the subject-specific HRFs in the GLM allows for a significant improvement in the detection sensitivity of aPFC pain response. This study supports the potential application of individualized analysis in using fNIRS and provides a robust model to perform objective determination of pain perception.