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[This corrects the article DOI: 10.1371/journal.pone.0274415.].
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Diagnostics are critical tools that guide clinical decision-making for patient care and support disease surveillance. Despite its importance, developers and manufacturers often note that access to specimen panels and essential reagents is one of the key challenges in developing quality diagnostics, particularly in low-resource settings. A recent example, as the COVID-19 pandemic unfolded there was a need for clinical samples across the globe to support the rapid development of diagnostics. To address these challenges and gaps, PATH, a global nonprofit, along with its partners collaborated to create a COVID-19 biorepository to improve access to biological samples. Since then, the need for data resources to advance universal rapid diagnostic test (RDT) readers and noninvasive clinical measurement tools for screening children have also been identified and initiated. From biospecimens to data files, there are more similarities than differences in creating open-access repositories. And to ensure equitable technologies are developed, diverse sample panels and datasets are critical in the development process. Here we share one experience in creating open-access repositories as a case study to describe the steps taken, the key factors required to establish a biorepository, the ethical and legal frameworks that guided the initiative and the lessons learned. As diagnostic tools are evolving, more forms of data are critical to de-risk and accelerate early research and development (R&D) for products serving low resource settings. Creating physical and virtual repositories of freely available, well characterized, and high quality clinical and electronic data resources defray development costs to improve equitable access and test affordability.
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Lipoarabinomannan (LAM), a component of the Mycobacterium tuberculosis (MTB) cell wall, is detectable in the urine of MTB infected patients with active tuberculosis (TB). LAM-specific antibodies (Igs) have been developed by a variety of traditional and recombinant methods for potential use in a rapid diagnostic test (RDT). We evaluated the analytical performance of the TB LAM Igs to identify pairs that offer superior performance over existing urine LAM tests. We assessed 25 new and 4 existing Igs in a matrixed format using a multiplex electrochemiluminescence-based liquid immunoassay. A total of 841 paired Ig combinations were challenged with in vitro cultured LAM (cLAM) derived from MTB strains representing diverse phylogenetic lineages, alongside urinary LAM (uLAM) from the urine of adults with active pulmonary TB. Analytical sensitivity of down-selected Ig pairs was determined using MTB Aoyama-B cLAM, while diagnostic accuracy was determined using clinical samples. When testing cLAM, the reactivity of Ig pairs was similar across MTB lineages 1-4 but lineage 5:6 had significantly more reactivity among Ig pairs. Overall, 41 Ig pairs had a strong binding affinity to cLAM, as compared to the reference pair of S4-20/A194-01, and 28 Ig pairs therein exhibited a strong affinity for both cLAM and uLAM. Retrospective testing on clinical urine specimens demonstrated varying sensitivities (12-80%) and specificities (14-100%). The five top pairs had a similar analytical limit of detection to the reference pair but in four instances, the sensitivity and specificity with clinical uLAM samples was poor. Overall, epitopes presented by uLAM are different from cLAM, which may affect antibody performance when testing uLAM in patient samples. Several new Ig pairs had similar ranges of high sensitivity to cLAM but overall, there were no new candidate Ig pairs identified in this round of screening with increased performance with uLAM as compared to an existing optimal pair.
