Towards a practical tool to identify HYDIN genotype using high-speed videomicroscopy

Area of Science:

• Genetics
• Cell Biology
• Medical Diagnostics

Background:

• Primary ciliary dyskinesia (PCD) diagnosis is complex, particularly for mutations in the HYDIN gene.
• Standard diagnostic methods like electron microscopy and ciliary motion analysis may not suffice for HYDIN-associated PCD.
• Mutational analysis for HYDIN is complicated by the presence of a paralogous gene copy.

Purpose of the Study:

• To investigate if subtle changes in ciliary function, such as reduced bending capacity and occasional rotatory movement with normal beat frequency, are indicative of PCD with HYDIN mutations.
• To develop a practical predictive tool for identifying patients requiring detailed evaluation for HYDIN gene mutations.

Main Methods:

• Analysis of subtle ciliary biomechanical properties including bending capacity and beat frequency.
• Development of an artificial intelligence-based predictive tool.
• Assessment of rotatory movement in ciliary function.

Main Results:

• Subtle reductions in ciliary bending capacity and occasional rotatory movements, despite normal beat frequencies, were observed.
• These subtle ciliary changes can be characteristic of PCD linked to HYDIN gene mutations.
• An artificial intelligence tool was successfully developed to predict patients needing further HYDIN mutation investigation.

Conclusions:

• The combination of subtle ciliary dysfunction (reduced bending, rotatory movement) can be a diagnostic clue for HYDIN-related PCD.
• The developed AI tool offers a practical approach to streamline the diagnostic process for HYDIN mutations.
• This approach can improve the selection of patients for in-depth genetic evaluation, overcoming challenges posed by gene structure and subtle phenotypes.