Measuring luteinising hormone pulsatility with a robotic aptamer-enabled electrochemical reader

Shaolin Liang, Andrew B. Kinghorn, Margaritis Voliotis, Julia K. Prague, Johannes D. Veldhuis, Krasimira Tsaneva-Atanasova, Craig A. McArdle, Raymond H. W. Li, Anthony E. G. Cass (), Waljit S. Dhillo () and Julian A. Tanner ()
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Shaolin Liang: The University of Hong Kong
Andrew B. Kinghorn: The University of Hong Kong
Margaritis Voliotis: University of Exeter
Julia K. Prague: Imperial College London
Johannes D. Veldhuis: Endocrine Research Unit, Mayo School of Graduate Medical Education, Mayo Clinic
Krasimira Tsaneva-Atanasova: University of Exeter
Craig A. McArdle: University of Bristol
Raymond H. W. Li: The University of Hong Kong
Anthony E. G. Cass: Imperial College London
Waljit S. Dhillo: Imperial College London
Julian A. Tanner: The University of Hong Kong

Nature Communications, 2019, vol. 10, issue 1, 1-10

Abstract: Abstract Normal reproductive functioning is critically dependent on pulsatile secretion of luteinising hormone (LH). Assessment of LH pulsatility is important for the clinical diagnosis of reproductive disorders, but current methods are hampered by frequent blood sampling coupled to expensive serial immunochemical analysis. Here, we report the development and application of a Robotic APTamer-enabled Electrochemical Reader (RAPTER) electrochemical analysis system to determine LH pulsatility. Through selective evolution of ligands by exponential enrichment (SELEX), we identify DNA aptamers that bind specifically to LH and not to related hormones. The aptamers are integrated into electrochemical aptamer-based (E-AB) sensors on a robotic platform. E-AB enables rapid, sensitive and repeatable determination of LH concentration profiles. Bayesian Spectrum Analysis is applied to determine LH pulsatility in three distinct patient cohorts. This technology has the potential to transform the clinical care of patients with reproductive disorders and could be developed to allow real-time in vivo hormone monitoring.

Date: 2019
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DOI: 10.1038/s41467-019-08799-6

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