MicroRNA biomarkers for infectious diseases: from basic research to biosensing

L Tribolet, E Kerr, C Cowled, AGD Bean… - Frontiers in …, 2020 - frontiersin.org
In the pursuit of improved diagnostic tests for infectious diseases, several classes of
molecules have been scrutinized as prospective biomarkers. Small (18–22 nucleotide), non …

Can we predict tuberculosis cure? What tools are available?

D Goletti, CSL Arlehamn, TJ Scriba… - European …, 2018 - Eur Respiratory Soc
Antibiotic treatment of tuberculosis takes≥ 6 months, putting a major burden on patients and
health systems in large parts of the world. Treatment beyond 2 months is needed to prevent …

RISK6, a 6-gene transcriptomic signature of TB disease risk, diagnosis and treatment response

A Penn-Nicholson, SK Mbandi, E Thompson… - Scientific reports, 2020 - nature.com
Improved tuberculosis diagnostics and tools for monitoring treatment response are urgently
needed. We developed a robust and simple, PCR-based host-blood transcriptomic …

Metabolite changes in blood predict the onset of tuberculosis

J Weiner 3rd, J Maertzdorf, JS Sutherland… - Nature …, 2018 - nature.com
New biomarkers of tuberculosis (TB) risk and disease are critical for the urgently needed
control of the ongoing TB pandemic. In a prospective multisite study across Subsaharan …

Exosomal ncRNAs profiling of mycobacterial infection identified miRNA-185-5p as a novel biomarker for tuberculosis

AC Kaushik, Q Wu, L Lin, H Li, L Zhao… - Briefings in …, 2021 - academic.oup.com
Background: There are ever increasing researches implying that noncoded RNAs (ncRNAs)
specifically circular RNAs (circRNAs) and microRNAs (miRNAs) in exosomes play vital roles …

Discovery and validation of a prognostic proteomic signature for tuberculosis progression: a prospective cohort study

A Penn-Nicholson, T Hraha, EG Thompson… - PLoS …, 2019 - journals.plos.org
Background A nonsputum blood test capable of predicting progression of healthy individuals
to active tuberculosis (TB) before clinical symptoms manifest would allow targeted treatment …

Reduction of biosensor false responses and time delay using dynamic response and theory-guided machine learning

J Zhang, P Srivatsa, FH Ahmadzai, Y Liu, X Song… - ACS …, 2023 - ACS Publications
Here, we provide a new methodology for reducing false results and time delay of
biosensors, which are barriers to industrial, healthcare, military, and consumer applications …

Tuberculosis-associated microRNAs: from pathogenesis to disease biomarkers

A Sinigaglia, E Peta, S Riccetti, S Venkateswaran… - Cells, 2020 - mdpi.com
Tuberculosis (TB) caused by Mycobacterium tuberculosis is one of the most lethal infectious
diseases with estimates of approximately 1.4 million human deaths in 2018. M. tuberculosis …

Non-coding RNAs in tuberculosis epidemiology: Platforms and approaches for investigating the genome's dark matter

A Almatroudi - International Journal of Molecular Sciences, 2022 - mdpi.com
A growing amount of information about the different types, functions, and roles played by
non-coding RNAs (ncRNAs) is becoming available, as more and more research is done …

Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

J Zhang, P Srivatsa, FH Ahmadzai, Y Liu… - Biosensors and …, 2024 - Elsevier
False results and time delay are longstanding challenges in biosensing. While classification
models and deep learning may provide new opportunities for improving biosensor …