Advancing Primary Ciliary Dyskinesia Diagnosis through High-Speed Video Microscopy Analysis.
Wilfredo De Jesús-RojasZachary J DemetriouJosé Muñiz-HernándezGabriel Rosario-OrtizFrances M QuiñonesMarcos J Ramos-BenitezRicardo A MosqueraPublished in: Cells (2024)
Primary ciliary dyskinesia (PCD) is an inherited disorder that impairs motile cilia, essential for respiratory health, with a reported prevalence of 1 in 16,309 within Hispanic populations. Despite 70% of Puerto Rican patients having the RSPH4A [c.921+3_921+6del (intronic)] founder mutation, the characterization of the ciliary dysfunction remains unidentified due to the unavailability of advanced diagnostic modalities like High-Speed Video Microscopy Analysis (HSVA). Our study implemented HSVA for the first time on the island as a tool to better diagnose and characterize the RSPH4A [c.921+3_921+6del (intronic)] founder mutation in Puerto Rican patients. By applying HSVA, we analyzed the ciliary beat frequency (CBF) and pattern (CBP) in native Puerto Rican patients with PCD. Our results showed decreased CBF and a rotational CBP linked to the RSPH4A founder mutation in Puerto Ricans, presenting a novel diagnostic marker that could be implemented as an axillary test into the PCD diagnosis algorithm in Puerto Rico. The integration of HSVA technology in Puerto Rico substantially enhances the PCD evaluation and diagnosis framework, facilitating prompt detection and early intervention for improved disease management. This initiative, demonstrating the potential of HSVA as an adjunctive test within the PCD diagnostic algorithm, could serve as a blueprint for analogous developments throughout Latin America.
Keyphrases
- high speed
- end stage renal disease
- atomic force microscopy
- chronic kidney disease
- ejection fraction
- newly diagnosed
- machine learning
- randomized controlled trial
- healthcare
- peritoneal dialysis
- mental health
- public health
- prognostic factors
- risk factors
- squamous cell carcinoma
- deep learning
- single molecule
- patient reported outcomes
- early stage
- heart rate
- single cell
- neural network
- rectal cancer
- data analysis
- human health
- sensitive detection