Abstract
Primary ciliary dyskinesia (PCD) is a rare ciliopathy resulting in chronic oto-sino-pulmonary disease. PCD diagnosis can be achieved by a combination of different diagnostic and adjuvant tools, including high-speed video-microscopy analysis (HSVA). A founder variant has been described in Puerto Rico as the most common cause of PCD in the island. Background/Objectives: In HSVA, objective parameters such as ciliary beat frequency (CBF) and subjective parameters such as ciliary beat pattern (CBP) shed light on the biophysical properties of cilia. However, the subjective nature of CBP creates a gap in knowledge; characteristics such as the length, angle, and bending index of cilia are poorly described. Our goal is to quantify cilia dynamics of the RSPH4A (c.921+3_921+6delAAGT (intronic)) founder variant in Puerto Rico through biophysical properties of cilia. This approach enhances longitudinal patient care by understanding treatment progress through biophysical ciliary function. Methods: We analyzed images from HSVA of six patients with PCD homozygous for the founder variant and six healthy controls (HC) (n = 12). Results: We found that ciliary length (PCD = 7.62 ± 0.95 μm, HC = 8.12 ± 1.36 μm, p = 0.204 ns), orientation vector (PCD = 7.20 ± 0.93 μm, HC = 7.25 ± 1.01 μm, p = 0.883 ns), straight angle (PCD = 1.67 ± 0.27 rad, HC = 1.76 ± 0.29 rad, p = 0.380 ns), and area (PCD = 2.35 ± 0.52 μm2, HC = 2.10 ± 0.53 μm2, p = 0.264 ns) did not have statistically significant differences between PCD and HC. In contrast, bending index (PCD = 1.06 ± 0.04, HC = 1.12 ± 0.09, p = 0.01), bent angle (PCD = 1.11 ± 0.30 rad, HC = 0.67 ± 0.21 rad, p < 0.0001), net angle (PCD = 0.56 ± 0.26 rad, HC = 1.09 ± 0.35 rad, p < 0.0001), amplitude (PCD = 5.77 ± 1.25 μm, HC = 7.99 ± 1.65 μm, p < 0.0001), and amplitude per second (PCD = 48.83 ± 13.23 A(s), HC = 91.66 ± 27.96 A(s), p < 0.0001) showed significant differences between both groups. Conclusions: Reduced angular excursion and amplitude in PCD demonstrate that the beating pattern of the RSPH4A founder variant is dysfunctional as compared with healthy controls. Our study provides an objective framework to understand the biophysical properties of the RSPH4A founder variant.
Keywords: primary ciliary dyskinesia, high-speed video-microscopy analysis, ciliary beat pattern, cilia physics, biophysics
1. Introduction
Primary ciliary dyskinesia (PCD) is a rare genetic disorder that affects ciliary motility, compromises mucociliary clearance (MCC), and predisposes to chronic upper and lower respiratory infections, chronic rhinosinusitis, and bronchiectasis [1]. Diagnosing PCD is complex, requiring clinical assessment plus specialized diagnostic and adjuvant tests to confirm or exclude it [2,3]. The American Thoracic Society and European Respiratory Society guidance endorses a multi-modal diagnostic algorithm that integrates characteristic clinical features with nasal nitric oxide (nNO), high-speed video-microscopy analysis (HSVA) of ciliary beat frequency (CBF) and ciliary beat pattern (CBP), immunofluorescence, transmission electron microscopy (TEM), and comprehensive genetic testing [1,2,4].
Among these modalities, HSVA provides both quantitative and qualitative assessments that underlie genetic and ultrastructural abnormalities. While CBF alone has limited specificity, CBP can discriminate normal from dyskinetic or immotile motion and often reveals subtle, genotype-specific signatures, including in cases with normal ultrastructure [5,6,7]. Accordingly, CBP analysis has emerged as a critical bridge between genotype and phenotype in PCD. RSPH4A encodes a radial spoke head protein that is required for coordinated axonemal regulation and effective ciliary beating. Pathogenic variants can therefore cause dysfunction of the radial spoke and central apparatus, resulting in an abnormal ciliary beat phenotype. Importantly, abnormalities in radial spoke and central apparatus have also been described in non-RSPH4A genotypes [7]. For example, RSPH1 variants have been reported to show an abnormal rotational beat pattern despite relatively preserved CBF, illustrating that impaired MCC may result from beat pattern inefficiency rather than frequency reduction alone [8]. Recent reviews similarly describe rotational motion as a recurring feature of some radial spoke/central complex defects, including RSPH1 and RSPH9 [9]. In contrast, other PCD genotypes tend to exhibit different HSVA signatures, such as complete immobility, often seen with combined dynein arm defects. Stiff or low amplitude beating has been associated with inner dynein arm and axonemal ruler–related defects, such as CCDC39 and CCDC40. Hyperkinetic but ineffective beating has been reported in some cases with DNAH11 variants [7].
In Puerto Rico, a unique cohort has been identified with the intronic RSPH4A genetic variant (c.921+3_921+6delAAGT), being responsible for approximately 70% of PCD cases [10,11,12]. This genetic variant is linked to recurrent respiratory infections without laterality defects. It exhibits a distinctive ciliary motion profile characterized by reduced CBF and a unique rotational pattern [10,12,13]. Population screening indicates a high allele frequency and considerable underdiagnosis, with an estimated 1624 affected individuals on the island [14].
The clinical consequences and characteristics of CBF related to this founder variant have been extensively documented [12]. However, the detailed biophysical dynamics of the RSPH4A variant remain unexplored. Therefore, our study aimed to objectively analyze the cilia dynamics linked to this PCD variant in Puerto Rico by examining the biophysical properties of cilia using ex vivo nasal biopsies. By gaining insights into these parameters, we aim to establish a threshold that distinguishes healthy individuals from patients carrying the RSPH4A Puerto Rican founder variant.
2. Materials and Methods
2.1. Video Collection
A total of 144 high-speed video-microscopy recordings were obtained and analyzed, corresponding to 12 videos per patient. For each patient, recordings included 10 lateral-view videos and 2 top-view videos. The videos were obtained from the CILIA4PR Research Team’s cilia databank at the Ponce Research Institute in Puerto Rico.
From the 10 lateral-view recordings obtained per patient, the three highest-quality videos were selected for analysis based on the clear visualization of a single identifiable cilium. Selection criteria required that the cilium be distinctly observable in both phases of the power stroke, enabling the extraction of two representative frames (one per phase) and the generation of a superimposed image.
Quantitative measurements were performed on these selected videos, and the mean value for each variable was calculated across the three videos per patient. In total, 36 lateral-view videos (3 per patient) were included in the final analysis. For top-view recordings, both videos obtained per patient were included for analysis. These videos were used to measure the area of an individual cilium. The mean value of the measurements from the two videos was calculated for each patient. A total of 24 top-view videos (2 per patient) were analyzed. In summary, although 144 videos were initially evaluated, a subset of 60 videos met the predefined quality criteria and were included in the final quantitative analysis, comprising 36 lateral-view videos and 24 top-view videos.
2.2. Video Processing
All videos were recorded at 500 fps, DIC with the AOS PROMON U750 mono-chrome high-speed camera (AOS Technologies AG, Baden-Daettwil, Switzerland) at 40× (NA 0.60) magnification using the Nikon Eclipse Ti2 inverted microscope (Nikon Corporation, Tokyo, Japan). Nasal biopsy samples were centrifuged and resuspended in Medium 199. A 100 μL drop was placed into a microscopy slide to begin the HSVA. To ensure adequate visualization of the ciliary epithelium, we analyzed 10 lateral views and 2 top views per patient. Two specific frames from each video that offered an unobstructed view of individual cilia were taken. The first frame was taken at the point where the cilium initiated its power stroke, referred to as the straight angle. The second frame was taken when the cilia were closest to the epithelial surface, defined as the bent angle. These frames were then superimposed to create a composite image, which allowed for a precise determination of the net angle, or the angle difference of the first two angle parameters. Lastly, a top-view image of the ciliary epithelium was taken to determine the area that an individual cilium occupies.
2.3. Variables Studied
Multiple ciliary parameters were evaluated from the images: The orientation vector was defined as the vector length starting from the base of the cilia at the epithelium up to its end point. Length was defined as the complete length of the cilium from the base to its end point, taking its bend into consideration. Straight angle and bent angle represented the angles at the start and end of the ciliary power stroke. Net angle was the angular difference between the straight and bent angles. Amplitude, like the net angle, was determined using the superimposed composite image. This parameter referred to the distance between the end points of the straight angle and the bent angle. The area of cilia was understood as the space occupied by a single cilium seen from a top-view perspective. Other parameters, such as the bending index and amplitude per second, were determined by making calculations based on the values obtained from FIJI (ImageJ v2.16.0/1.54p), the software analysis tool used to measure all physical parameters [15]. The bending index was determined by dividing the length by the orientation vector. Amplitude per second was calculated by multiplying the amplitude by the CBF. The CBF was determined by doing a manual count with each video following previously published guidelines [16]. Table 1 is a summary of our measurements with their respective mathematical units.
Table 1.
This table summarizes the key biophysical parameters of cilia analyzed in the study, providing a detailed explanation of each characteristic along with its corresponding unit of measurement. These variables, including orientation vector, length, angles during motion, and beat frequency, are critical to understanding the functional dynamics of cilia motion in both HC and patients with PCD, particularly in relation to the RSPH4A founder variant. The definitions serve to clarify the method of quantifying ciliary structure and function.
| Characteristics | Meaning | Units |
|---|---|---|
| Orientation Vector | Vector from the base of cilia to the end point | Micrometers (μm) |
| Length | Complete length of cilia taking into consideration bending | Micrometers (μm) |
| Bending Index | Length divided by orientation vector | Dimensionless ratio |
| Straight Angle | Angle while initiating stroke motion | Radians (rad) |
| Bent Angle | Angle while finishing stroke motion | Radians (rad) |
| Net Angle | Difference between straight and bent angle | Radians (rad) |
| Amplitude | Length between end point in straight angle and end point in bent angle | Micrometers (μm) |
| Amplitude Per Second | Amplitude multiplied by the CBF | Amplitude per second (A/s) |
| Area From Top-View | Circular area of cilia observed from above | Area (μm2) |
| CBF | Ciliary beat frequency | Hertz (Hz) |
2.4. Software Analysis
FIJI, a widely used image-processing software, was employed to quantify the parameters extracted from the HSVA images [15]. This software enabled precise measurement of the ciliary dimensions, angles, and areas using its built-in analytical tools. The superimposed images were manually analyzed to determine the straight and bent angles, net angle, and amplitude. Additionally, FIJI’s vector measurement tools were used to calculate orientation vectors, length, and bending index. The top-view images of the cilia were also processed through FIJI to measure the area. CBF was calculated by manually counting the number of complete ciliary beats in a video sequence, following previously published guidelines.
2.5. Statistical Analysis
All continuous data are presented as mean ± standard deviation (SD). Figures to represent our findings were created using BioRender (latest available web-based version), and all statistical analyses were performed using the statistical software package GraphPad Prism version 10.1.1 for MacOS, developed by GraphPad Software, San Diego, CA, USA [www.graphpad.com (accessed on 10 July 2024)]. Significance between the HC and PCD groups was determined using unpaired t-tests. A p-value of <0.05 was considered statistically significant, with values represented as ns (non-significant) for p > 0.05, (p < 0.05), (p < 0.01), (p < 0.001), or (p < 0.0001).
3. Results
3.1. Structural Morphology
Figure 1 and Figure 2 present a comprehensive overview of these measurements with corresponding statistical values. Ciliary dimensions were constant when comparing patients with PCD-RSPH4A founder variant and HC. The orientation vector, which describes the straight-line distance from the base to the tip of the cilia (Figure 1A), showed no statistically significant difference between patients with PCD: 7.20 ± 0.93 μm and HC: 7.25 ± 1.01 μm, p = 0.883 (Figure 2A). The ciliary length was similar, PCD: 7.62 ± 0.95 μm versus HC: 8.12 ± 1.36 μm, p = 0.204, which did not significantly differ between groups (Figure 2B).
Figure 1.
Comparison of ciliary parameters between healthy controls (HC) (n = 6) and primary ciliary dyskinesia (PCD) patients (n = 6) with the RSPH4A founder variant. Key biophysical properties: (A) orientation vector, (B) length, (C) straight angle, (D) bent angle, (E) bending index, and (F) area. Schematic diagrams (left panel) define each parameter, while representative frames from HC and PCD–RSPH4A samples (right panels) demonstrate measurement application. HC cilia exhibit coordinated, directional motion with preserved amplitude, whereas PCD–RSPH4A cilia show reduced displacement, abnormal angulation, and disorganized beating patterns. Still frames are shown for reference.
Figure 2.
Quantitative comparison of ciliary biophysical dynamics between HC, (n = 6) and patients with PCD, (n = 6) carrying the RSPH4A founder variant. Individual data points are shown with bars representing mean ± SD. (A) Orientation vector, (B) straight angle, (C) length, (D) bent angle, (E) bending index, (F) net angle, (G) ciliary area (top-view), (H) amplitude, (I) ciliary beat frequency (CBF), and (J) amplitude per second (amplitude × CBF). Structural parameters (A–C,G) showed no significant differences between groups. In contrast, dynamic parameters (D–F,H–J) demonstrated significant alterations in PCD, including increased bent angle, reduced net angle, decreased amplitude, lower amplitude per second, and reduced CBF, reflecting impaired ciliary motility. Significance levels are indicated as follows: ns, not significant (p > 0.05); * p < 0.05; *** p < 0.001; **** p < 0.0001.
3.2. Ciliary Dynamics and Parameters
Analysis of the ciliary motion properties revealed several significant differences in our cohort. The bending index, which quantifies how much the cilia bend during motion, was reduced, PCD: 1.06 ± 0.04 versus HC: 1.12 ± 0.09, p = 0.01, proving a significant decrease in axonemal flexibility in the PCD group (Figure 1C). When analyzing the ciliary area from a top-view perspective, no significant differences were detected with PCD: 2.35 ± 0.52 μm2 versus HC: 2.10 ± 0.53 μm2, p = 0.264 (Figure 2F). Other dynamic properties revealed profound changes in ciliary function, like the bent angle PCD: 1.11 ± 0.30 rad versus HC: 0.67 ± 0.21 rad, p < 0.0001, and the net angle PCD: 0.56 ± 0.26 rad versus HC: 1.09 rad ± 0.35, p < 0.0001 (Figure 2C,D).
The amplitude, which measures the distance between the straight and bent positions of the cilia, was markedly lower in patients with PCD: 5.77 ± 1.25 μm versus. HC: 7.99 ± 1.65 μm, p < 0.0001, further indicating impaired motility (Figure 1D). Additionally, the amplitude per second A/s PCD: 48.83 ± 13.23 A(s) versus HC: 91.66 ± 27.96 A(s), p < 0.0001, showed a reduction (Figure 1E). Finally, CBF itself was reduced in patients with PCD: 8.48 ± 1.50 Hz; HC: 11.38 ± 2.48 Hz; p = 0.0002 (Figure 2F). To visually exhibit the implications of our findings in cilia dynamics, Figure 3 provides a clear view of MCC between a normal HC cilia epithelium and PCD-RSPH4A ciliary epithelium.
Figure 3.
(a) Normal beating cilia (CBF: 12 Hz) with a clean apical surface due to effective MCC. (b) Impaired MCC in PCD-RSPH4A. Dyskinetic cilia (CBF: 8.1 Hz) are unable to clear secretions from the apical surface of the respiratory epithelium. A video demonstrating the biophysical dynamics of the RSPH4A (c.921+3_921+6del (intronic)) founder variant (Video S2) compared with healthy control cilia (Video S1) is available in the Supplemental Material.
4. Discussion
This study demonstrates that Puerto Rican patients with PCD carrying the RSPH4A (c.921+3_921+6delAAGT (intronic)) founder variant exhibit profound, quantifiable abnormalities in ciliary beat biomechanics despite preserved gross structural dimensions. Specifically, ciliary length, orientation vector, and top-view ciliary surface area were comparable to healthy controls, supporting that the primary defect in this genotype is not driven by major changes in cilia size or alignment. In contrast, multiple dynamic parameters were significantly abnormal, including bent angle, net angle, amplitude, amplitude per second, bending index, and ciliary beat frequency (CBF). Together, these results provide objective evidence of dysfunctional ciliary biomechanics in this founder variant and offer a mechanistic basis for impaired MCC.
The combination of an exaggerated bent angle and reduced net angle suggests that although cilia undergo substantial curvature during motion, the effective forward component of the power stroke is restricted. This pattern is consistent with impaired coordination of axonemal activity, a feature commonly associated with central apparatus functional disruption and radial spoke abnormalities [9]. In the context of RSPH4A, these findings align with the reported rotational CBP, in which beating may appear active but fails to generate productive, directional mucus transport [12].
The reductions in amplitude and amplitude per second indicate diminished mechanical output of the ciliary beat over time, consistent with reduced force generation and impaired beat pattern effectiveness. Physiologically, these abnormalities are expected to translate into weak forward propulsion of mucus and reduced MCC efficiency [7]. This functional consequence is supported by Figure 3, which demonstrates apical mucus retention, consistent with impaired clearance.
A lower bending index suggests altered ciliary flexibility and/or abnormal axonemal stiffness, indicating that the cilium may not achieve the deformation patterns required for an efficient and coordinated beat. Given the role of the radial spoke head complex in organizing dynein-driven microtubule sliding and stabilizing beat pattern propagation, dysfunction at this level can plausibly shift the mechanical properties of the axoneme toward less efficient curvature to transport coupling, producing a beat that is visually apparent but mechanically unproductive [17,18].
CBF was also reduced in the founder-variant group. However, CBF alone is unlikely to fully explain the phenotype, as clinically significant transport failure can occur even with relatively preserved frequency when beat pattern mechanics are abnormal [8]. In this cohort, the concurrent abnormalities in angles, amplitude-derived metrics, and bending index indicate a broader disruption in beat mechanics. Therefore, dynamic beat pattern parameters provide critical explanatory value beyond CBF, helping to clarify why mucociliary transport is impaired.
Our findings align with HSVA studies showing that radial spoke head defects (including RSPH1, RSPH9, and RSPH4A) frequently result in abnormal CBP, often described as rotational [18]. Prior reports have largely characterized these patterns qualitatively, whereas our study provides quantitative biophysical measurements of key dynamic outputs (angles, amplitude, bending index, and time-normalized mechanical parameters) [19]. This objective data helps bridge ultrastructural observations often associated with radial spoke/central apparatus perturbation commonly linked to 9+0 configurations or central apparatus defects with measurable mechanical consequences. Collectively, our results reinforce the principle of genotype-specific CBP and extend it to genotype-specific ciliary biomechanics. The combination of reduced amplitude and abnormal angular dynamics is expected to markedly reduce mucus transport efficiency. The functional correlation shown in Figure 3 supports this relationship by demonstrating mucus retention consistent with compromised MCC in patients with the RSPH4A founder variant.
Persistent impairment in MCC promotes mucus accumulation, recurrent infection, and chronic inflammation, contributing to progressive airway injury and the development of bronchiectasis. These quantified biomechanical abnormalities therefore provide a plausible mechanism linking the RSPH4A founder variant to long-term pulmonary morbidity observed in this population. Clinically, this is consistent with the characteristic PCD phenotype associated with radial spoke defects, including recurrent respiratory infections and a tendency toward absence of laterality defects [9,12].
Quantitative biomechanical parameters may improve HSVA interpretation, especially in genotypes where ultrastructure can be normal or near normal, making diagnosis challenging when relying solely on qualitative descriptors [1,6]. A standardized panel of biophysical metrics (e.g., net angle, amplitude, bending index, and amplitude/sec) could enhance reproducibility across laboratories. Because these outputs are computationally tractable, they also support automation, including AI-assisted diagnostic tools that improve consistency and make ciliary motion classification more scalable.
The Puerto Rican RSPH4A founder variant provides a unique opportunity to study ciliary mechanics in a relatively homogeneous genotype, reducing biologic variability from mixed-variant cohorts and strengthening genotype-specific inference [9,13]. This population, therefore, serves as a valuable model for understanding how radial spoke head dysfunction reshapes the biophysical outputs of the ciliary beat and results in clinically relevant impairment in MCC.
Key strengths include (i) the first objective quantification of dynamic ciliary mechanics associated with RSPH4A, (ii) use of high-resolution HSVA paired with FIJI analysis to derive reproducible biophysical parameters, (iii) evaluation of a homogeneous founder variant population that reduces confounding by mixed genotypes, and (iv) integration of structural, dynamic, and functional perspectives into a single framework that links genotype to mechanical output and physiologic consequence.
5. Limitations
Several limitations should be acknowledged. The sample size is small, reflecting constraints inherent to rare disease research and limiting generalizability. Imaging constraints, including reliance on standard magnification and recording conditions compared with ultra-high-speed platforms, may reduce sensitivity to subtle beat pattern features. HSVA images of PCD samples exhibit diminished tissue image quality with mild transparency in Figure 1. Differences in visual quality might be related to continuous tissue damage caused by PCD symptoms. Video analyses were not conducted in a blinded manner with respect to group assignment, which may introduce observer bias. Manual frame selection introduces operator dependence and potential selection bias. In addition, variability in biopsy sampling depth and epithelial health may influence measured dynamics. Finally, the retrospective design and lack of longitudinal follow-up limit our ability to directly associate these biomechanical parameters with disease progression over time.
6. Future Directions
Future work should validate these findings in larger cohorts, including RSPH4A genotypes outside Puerto Rico, to determine generalizability and variant-specific effects. The development of automated or semi-automated pipelines to quantify angles, amplitude, and bending index would improve scalability and reduce operator dependence. Integrating mechanical outputs with nNO, immunofluorescence, and multi-omics (e.g., proteomics) may enable deeper genotype-to-endotype classification. Finally, linking ciliary biomechanics with clinical outcomes (e.g., bronchiectasis severity, exacerbation frequency, FEV1 decline, and proteomics) will clarify prognostic value and may support use of these metrics as objective end points to evaluate response to therapies such as hypertonic saline, airway clearance, chronic macrolide regimens (e.g., azithromycin), and emerging anti-inflammatory strategies (e.g., brensocatib, where applicable).
7. Conclusions
This study provides the first quantitative characterization of the biophysical ciliary dynamics associated with the Puerto Rican RSPH4A (c.921+3_921+6delAAGT (intronic)) founder variant. While the overall ciliary dimensions, including length, orientation vector, and surface area, were preserved, patients demonstrated profound abnormalities in dynamic parameters, including reduced net angle, amplitude, bending index, amplitude per second, and ciliary beat frequency. These findings indicate that the mechanical efficiency of the ciliary power stroke is markedly impaired despite preserved structural dimensions, reflecting a dysfunctional ciliary beat pattern unique to this radial spoke defect. By integrating objective, reproducible measurements derived from HSVA with FIJI-based image analysis, our work moves beyond subjective pattern interpretation and establishes a quantitative framework to distinguish healthy individuals from those with PCD due to the RSPH4A founder variant. This approach strengthens diagnostic precision and provides a foundation for future studies evaluating longitudinal change, genotype-specific mechanisms, and the impact of therapeutic interventions on ciliary biomechanics.
Acknowledgments
Graham Family Scholar: Project 18624 at the Department of Pediatrics, McGovern Medical School at UTHealth Houston, TX.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cells15070607/s1. Video S1: Normal beating cilia (CBF: 12 Hz) with a clean apical surface due to effective mucociliary clearance. Video S2: Impaired mucociliary clearance in PCD-RSPH4A. Dyskinetic cilia (CBF: 8.1 Hz) are unable to clear secretions from the apical surface of the respiratory epithelium.
Author Contributions
Conceptualization, G.R.-O., W.D.J.-R. and R.A.M.; methodology, G.R.-O., M.J.R.-B. and W.D.J.-R.; software, G.R.-O. and J.M.-H.; validation, G.R.-O., J.M.-H. and M.J.R.-B.; formal analysis, G.R.-O. and N.M.O.-P.; investigation, G.R.-O., J.M.-H. and N.M.O.-P.; resources, W.D.J.-R. and R.A.M.; data curation, G.R.-O.; writing—original draft preparation, G.R.-O., J.M.-H. and W.D.J.-R.; writing—review and editing, W.D.J.-R. and M.J.R.-B.; visualization, G.R.-O. and N.M.O.-P.; supervision, W.D.J.-R. and R.A.M.; project administration, W.D.J.-R.; funding acquisition, W.D.J.-R. and R.A.M. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Ponce Health Sciences University (Protocol number: 2301128951, Date: 4 May 2023).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
Funding Statement
This work was supported by the Puerto Rico PCD Foundation, the Research Centers in Minority Institutions (RCMI) Center for Research Resources, and the Molecular and Genomics Core (Grant No. U54MD007579). The authors sincerely thank the Department of Pediatrics, McGovern Medical School at UTHealth Houston and the Graham family for their generous support, which made this study possible.
Footnotes
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References
- 1.Shapiro A.J., Davis S.D., Polineni D., Manion M., Rosenfeld M., Dell S.D., Chilvers M.A., Ferkol T.W., Zariwala M.A., Sagel S.D., et al. Diagnosis of primary ciliary dyskinesia: An official American thoracic society clinical practice guideline. Am. J. Respir. Crit. Care Med. 2018;197:e24–e39. doi: 10.1164/rccm.201805-0819ST. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Shoemark A., Goutaki M., Kinghorn B., Ardura-Garcia C., Baz-Redón N., Chilvers M., Davis S.D., De Brandt J., Dell S., Dhar R., et al. European Respiratory Society and American Thoracic Society guidelines for the diagnosis of Primary Ciliary Dyskinesia. Eur. Respir. J. 2025;66:2500745. doi: 10.1183/13993003.00745-2025. [DOI] [PubMed] [Google Scholar]
- 3.Haarman E.G., Schmidts M. Accuracy of diagnostic testing in primary ciliary dyskinesia: Are we there yet? Eur. Respir. Soc. 2016;47:699–701. doi: 10.1183/13993003.01914-2015. [DOI] [PubMed] [Google Scholar]
- 4.Lucas J.S., Barbato A., Collins S.A., Goutaki M., Behan L., Caudri D., Dell S., Eber E., Escudier E., Hirst R.A., et al. European Respiratory Society guidelines for the diagnosis of primary ciliary dyskinesia. Eur. Respir. Soc. 2017;49:1601090. doi: 10.1183/13993003.01090-2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Blanchon S., Legendre M., Bottier M., Tamalet A., Montantin G., Collot N., Faucon C., Dastot F., Copin B., Clement A., et al. Deep phenotyping, including quantitative ciliary beating parameters, and extensive genotyping in primary ciliary dyskinesia. J. Med. Genet. 2020;57:237–244. doi: 10.1136/jmedgenet-2019-106424. [DOI] [PubMed] [Google Scholar]
- 6.Rubbo B., Shoemark A., Jackson C.L., Hirst R., Thompson J., Hayes J., Frost E., Copeland F., Hogg C., O’callaghan C., et al. Accuracy of High-Speed Video Analysis to Diagnose Primary Ciliary Dyskinesia. Chest. 2019;155:1008–1017. doi: 10.1016/j.chest.2019.01.036. [DOI] [PubMed] [Google Scholar]
- 7.Raidt J., Wallmeier J., Hjeij R., Onnebrink J.G., Pennekamp P., Loges N.T., Olbrich H., Häffner K., Dougherty G.W., Omran H., et al. Ciliary beat pattern and frequency in genetic variants of primary ciliary dyskinesia. Eur. Respir. J. 2014;44:1579–1588. doi: 10.1183/09031936.00052014. [DOI] [PubMed] [Google Scholar]
- 8.Knowles M.R., Ostrowski L.E., Leigh M.W., Sears P.R., Davis S.D., Wolf W.E., Hazucha M.J., Carson J.L., Olivier K.N., Sagel S.D., et al. Mutations in RSPH1 cause primary ciliary dyskinesia with a unique clinical and ciliary phenotype. Am. J. Respir. Crit. Care Med. 2014;189:707–717. doi: 10.1164/rccm.201311-2047OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wrona J., Krupa Z., Zawadzka M., Rydzek J., Dorobisz K., Bania J. Primary Ciliary Dyskinesia—Current Diagnostic and Therapeutic Approach. J. Clin. Med. 2025;14:6808. doi: 10.3390/jcm14196808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Daniels M.L.A., Leigh M.W., Davis S.D., Armstrong M.C., Carson J.L., Hazucha M., Dell S.D., Eriksson M., Collins F.S., Knowles M.R., et al. Founder mutation in RSPH4A identified in patients of hispanic descent with primary ciliary dyskinesia. Hum. Mutat. 2013;34:1352–1356. doi: 10.1002/humu.22371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.MLeigh W., Horani A., Kinghorn B., O’Connor M.G., Zariwala M.A., Knowles M.R. Primary ciliary dyskinesia (PCD): A genetic disorder of motile cilia. Transl. Sci. Rare Dis. 2019;4:51–75. doi: 10.3233/trd-190036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.De Jesús-Rojas W., Demetriou Z.J., Muñiz-Hernández J., Rosario-Ortiz G., Quiñones F.M., Ramos-Benitez M.J., Mosquera R.A. Advancing Primary Ciliary Dyskinesia Diagnosis through High-Speed Video Microscopy Analysis. Cells. 2024;13:567. doi: 10.3390/cells13070567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.De Jesús-Rojas W., Meléndez-Montañez J., Muñiz-Hernández J., Marra-Nazario A., Alvarado-Huerta F., Santos-López A., Ramos-Benitez M.J., Mosquera R.A. The RSPH4A Gene in Primary Ciliary Dyskinesia. Int. J. Mol. Sci. 2023;24:1936. doi: 10.3390/ijms24031936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.De Jesús-Rojas W., Guerra-Torres K.P., Rosado-Ayala A.J., Acevedo-Soto E.L., Ramos-Benitez M.J., Mosquera R.A. Identification of an RSPH4A Founder Variant and Newborn Screening for Primary Ciliary Dyskinesia. JAMA Netw. Open. 2025;8:e2530551. doi: 10.1001/jamanetworkopen.2025.30551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., et al. Fiji: An open-source platform for biological-image analysis. Nat. Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kempeneers C., Seaton C., Chilvers M.A. Variation of Ciliary Beat Pattern in Three Different Beating Planes in Healthy Subjects. Chest. 2017;151:993–1001. doi: 10.1016/j.chest.2016.09.015. [DOI] [PubMed] [Google Scholar]
- 17.Viswanadha R., Sale W.S., Porter M.E. Ciliary motility: Regulation of axonemal dynein motors. Cold Spring Harb. Perspect. Biol. 2017;9:a018325. doi: 10.1101/cshperspect.a018325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Despotes K.A., Zariwala M.A., Davis S.D., Ferkol T.W. Primary Ciliary Dyskinesia: A Clinical Review. Cells. 2024;13:974. doi: 10.3390/cells13110974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Carretero-Vilarroig L., Blanco-Máñez R., Muñoz-Fernández N., Ibáñez I., Berzal-Serrano A., Reula A., García-Bohórquez B., Aller E., García-García G., Millán J.M., et al. Clinical, Genetic, Morphological and Functional Correlations in a Large Series of Patients with Primary Ciliary Dyskinesia: A Heterogeneous Disease with a Controversial Diagnosis. Mol. Diagn. Ther. 2025;29:813–826. doi: 10.1007/s40291-025-00801-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.



