JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Anatomy Section DOI : 10.7860/JCDR/2025/78282.20924
Year : 2025 | Month : May | Volume : 19 | Issue : 05 Full Version Page : AC01 - AC03

Evaluation of Micronucleus in Buccal Mucosa Samples as a Potential Biomarker for Early Diagnosis of Parkinson’s Disease: A Cross-sectional Study

Disha K Davis1, Rajila Hannah Sugirthabai Rajendran2

1 PhD Scholar, Department of Anatomy, Chettinad University, Chennai, Tamil Nadu, India.
2 Professor, Department of Anatomy, Chettinad Hospital and Research Institute, Chennai, Tamil Nadu, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Rajila Hannah Sugirthabai Rajendran, KG Towers, Velancheri Bypass Road, Chennai, Tamil Nadu, India.
E-mail: drrajianat@gmail.com
Abstract

Introduction

Parkinson’s Disease (PD) is the divond most prevalent neurodegenerative disease as of 2024, with a global prevalence of 1.51 per 1,000 people in 2023. Micronuclei are small structures formed when chromosome fragments or whole chromosomes are not properly incorporated into the daughter nuclei during cell division. Their presence can signal genomic instability, which may be linked to neurodegenerative diseases such as PD. The buccal micronucleus assay is a cytogenetic test that examines micronuclei in cells from the buccal mucosa, offering insights into genetic damage or chromosomal instability, and it has been explored as a potential diagnostic tool for PD.

Aim

To compare the presence of micronuclei in the buccal mucosa samples between individuals with PD and healthy controls, as a potential non invasive indicator for early PD detection.

Materials and Methods

This cross-divtional study was conducted in the Department of Neurology at NIMHANS Hospital, Bengaluru, Karnataka, India from March 2023 to February 2024. A total of 170 participants, including both individuals with PD and healthy controls, were recruited from the Outpatient Department (OPD) and PD wards of NIMHANS Hospital. Buccal mucosa samples were collected using a moistened wooden tongue spatula, fixed onto glass slides with biofix spray and stained using the Papanicolaou (PAP) method. Microscopic images of these slides were then analysed quantitatively using an image analyser, focusing on the presence of micronuclei in the buccal epithelial cells.

Results

The mean age of the healthy group was 66 years, while the mean age of the Parkinson’s group was 60 years, with an overall mean age of 63.14 years. The gender distribution in the healthy group included 38 males and 47 females, whereas the Parkinson’s group consisted of 55 males and 30 females. Among the study participants, the frequency of micronuclei occurrence was higher in Parkinson’s patients (69.4%) compared to healthy controls (11.8%).

Conclusion

The occurrence of micronuclei was notably greater in individuals with PD when compared to healthy controls, suggesting a higher rate of genomic instability in PD patients. This observation reinforces the potential of micronucleus frequency as a useful biomarker for PD.

Keywords

Genomic instability,Micronuclei,Neurodegenerative disease,Non invasive indicator

Introduction

The PD is the second most prevalent neurodegenerative disease as of 2024. It is the fastest-growing neurodegenerative condition in terms of case numbers [1,2]. The disease primarily affects older adults and its prevalence has risen significantly due to increasing life expectancy. Between 1990 and 2016, PD cases grew by 74% [1]. Projections suggest that by 2040, over 12 million people will be living with PD [3]. In PD, dopamine-producing neurons in the substantia nigra degenerate. This degenerative neurological disorder impacts both the central and peripheral nervous systems [4]. The disease has a long latency period, with clinical symptoms typically appearing only after 70-80% of dopaminergic neurons have been lost [5]. By the time symptoms appear, the damage has already occurred, emphasising the significance of early detection. Timely intervention could enable neuroprotective treatments [6].

Despite advancements in understanding PD’s pathophysiology, early diagnosis remains challenging. Current diagnostic methods primarily rely on clinical symptoms, which manifest only after substantial neuronal damage. This limitation underscores the urgent need for accessible and non invasive biomarkers. Ideal biomarkers for PD should exhibit reproducibility, feasibility, affordability, sensitivity and specificity [7]. DNA damage has emerged as a potential biomarker, offering insights into both diagnostic applications and the underlying pathophysiological mechanisms of neurodegenerative disorders [8]. In neurological diseases like Alzheimer’s Disease (AD), DNA damage has shown strong associations [9].

Oral mucosal cells, which originate from ectodermal tissue, may exhibit disease-specific traits similar to neurons, as both derive from the same embryonic source, which also forms the central nervous system [10]. There is a lack of research specifically linking the frequency of buccal mucosal micronuclei to PD in Southern India. This study aimed to evaluate the potential association between micronucleus frequency and PD using exfoliated buccal mucosal cells.

Materials and Methods

This cross-sectional study was conducted in the Department of Neurology at NIMHANS Hospital, Bengaluru, Karnataka, India from March 2023 to February 2024. The study was approved by the ethical committee of the National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India (NIMHANS/41st IEC (BS & NS DIV)/2023, 28-06-2023).

Individuals with PD were recruited from the OPD and PD wards of NIMHANS Hospital. Healthy controls were recruited from the Department of Oral and Maxillofacial Pathology and Oral Microbiology at VS Dental College and Hospital. The healthy population was defined as individuals without PD.

Inclusion criteria: The study included PD patients. The diagnosis of PD in the study participants was confirmed through clinical evaluation based on the UK Parkinson’s Disease Society Brain Bank Criteria [11], including the assessment of symptoms such as bradykinesia, tremor and rigidity, supported by neurological examination and, when necessary, imaging studies.

The study also included healthy individuals with no history of neurological or systemic diseases aged above 50 years.

Exclusion criteria:

The study excluded participants with systemic conditions such as chronic inflammatory diseases, cancer, autoimmune disorders, infections and type 2 diabetes, as these could confound the results.

Participants currently taking medications or undergoing treatments that affect saliva composition or mucosal health.

Participants with oral health issues, such as advanced periodontal disease and extensive dental caries, were also excluded from the study.

Sample size: The sample size was estimated using GPower Software v. 3.1.9.2, considering the effect size to be measured (f) at 50%, a power of the study at 95%, and a margin of error of 5%; the total sample size required was 170. Therefore, each group comprised 85 samples. Convenience sampling was used for collecting samples until the desired sample size was achieved.

Sample collection and preparation: Participants were instructed to wash their mouths with water before the clinical examination. A cytosmear was then collected from the buccal mucosa using a standard wooden tongue spatula moistened with normal saline. The collected scrapings were spread onto a plain glass slide, immediately fixed using Bio-Fix spray, and stained using the rapid PAP technique. The PAP-stained smears were examined under a microscope, and the presence of micronuclei was evaluated as a key parameter.

Image capture and cytomorphometric analysis: A high-resolution CCD camera connected to a research microscope was used to capture images of the smear at 400x magnification. From each slide, 20 cells were selected, and the microscopic images were captured using Image Progress software. Ten well-defined cells with clear staining and without overlap were chosen for cytomorphometric analysis.

Statistical Analysis

Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS, version 23.0). Descriptive statistics were used as counts and percentages to show the distribution of the presence and absence of micronuclei among different genders and age groups in healthy subjects and Parkinson’s patients. A t-test was used for comparison between healthy individuals and PD patients.

Results

A total of 170 subjects were included in the study, comprising 85 healthy controls and 85 patients diagnosed with Parkinson’s Disease (PD). The mean age of the total study population was 63.14 years. The mean age of the healthy control group was 66 years, while the mean age of the PD group was 60 years. In the healthy group, there were 38 males and 47 females, while the PD group included 55 males and 30 females.

In PD patients, the presence of micronuclei was significantly higher compared to healthy individuals (p-value=0.0001) [Table/Fig-1]. Among Parkinson’s patients, males exhibited a notably higher frequency of micronuclei (47.1%), while females showed a lower occurrence (22.4%) [Table/Fig-2].

Micronucleus status in healthy and Parkinson’s groups.

Subject groupMicronucleusTotalp-value
PresentAbsent
HealthyCount1075850.0001
% of total5.90%44.10%50.00%
Parkinson’s patientsCount592685
% of total34.70%15.30%50.00%
TotalCount69101170
% of total40.60%59.40%100.00%

Micronucleus status among male and female subjects within healthy and Parkinsons patients.

Subject groupMicronucleusTotal
PresentAbsent
HealthyGenderMaleCount63238
% of total7.1%37.6%44.7%
FemaleCount44347
% of total4.7%50.6%55.3%
TotalCount107585
% of total11.8%88.2%100.0%
Parkinson’s patientsGenderMaleCount401555
% of total47.1%17.6%64.7%
FemaleCount191130
% of total22.4%12.9%35.3%
TotalCount592685
% of total69.4%30.6%100.0%

Micronucleus frequency in healthy subjects was highest in the 61-70 years age group (5.9%). In Parkinson’s patients, the highest frequency was observed in the 50-60 years age group (41.2%) [Table/Fig-3].

Status of micronucleus in healthy subjects between various age groups.

Subject groupMicronucleusTotal
PresentAbsent
HealthyAge group(years)50-60Count11314
% of total1.2%15.3%16.5%
61-70Count54449
% of total5.9%51.8%57.6%
Above 70Count41822
% of total4.7%21.2%25.9%
TotalCount107585
% of total11.8%88.2%100.0%
Parkinson’s patientsAge group (years)50-60Count351853
% of total41.2%21.2%62.4%
61-70Count15621
% of total17.6%7.1%24.7%
Above 70Count9211
% of total10.6%2.4%12.9%
TotalCount592685
% of total69.4%30.6%100.0%
TotalAge group (years)50-60Count363167
% of total21.2%18.2%39.4%
61-70Count205070
% of total11.8%29.4%41.2%
Above 70Count132033
% of total7.6%11.8%19.4%
TotalCount69101170
% of total40.6%59.4%100.0%

Discussion

Present study evaluated the presence and frequency of micronuclei, which were found to be higher in patients with Parkinson’s Disease (PD) compared to healthy individuals.

Migliore L et al., highlight the role of micronuclei as biomarkers for genomic instability, originating from either chromosome breakage or missegregation events. Research in neurodegenerative diseases such as AD and PD has shown an increased frequency of micronuclei, with AD primarily linked to chromosome missegregation and PD to chromosome breakage. In other neurodegenerative and premature ageing disorders such as ataxia telangiectasia, Werner’s syndrome, Down’s Syndrome (DS), and Cockayne’s syndrome, micronucleus frequency also increases with ageing in cultured cells. The study suggests that the buccal micronucleus cytome assay could be useful for detecting cellular changes and increased micronucleus frequency, potentially serving as a diagnostic tool to identify individuals at higher risk for AD, DS, and related disorders [12].

Welch G and Tsai LH examined the mechanisms of DNA damage-mediated neurotoxicity in neurodegenerative diseases, highlighting how impaired DNA repair contributes to neuronal degeneration. They noted that DNA breaks and mutations could influence neuronal diversity and also play a role in the development of age-related neurodegenerative diseases. Their work underscores the significance of genomic location and dysfunctional repair proteins in neuronal health. Additionally, they emphasise the role of DNA damage in neuroinflammation, a central feature of neurodegenerative diseases [13].

Migliore L et al., assessed chromosomal and oxidative DNA damage in peripheral blood leukocytes of patients with untreated PD. The results showed significant increases in spontaneous micronuclei, single-strand breaks and oxidised purine bases in PD patients compared to controls. Fluorescence in-situ hybridisation revealed that the micronuclei in PD patients contained acentric fragments. These findings suggest that chromosomal and oxidative DNA damage is present in the lymphocytes of untreated PD patients [14]. In contrast to present study findings, a study involving 425 participants with and without neurodegenerative diseases found no significant differences in DNA damage, including micronuclei, or other cytotoxicity markers (such as binucleated cells, karyolytic cells, and karyorrhectic cells) between patients and healthy controls [15]. The discrepancy between this study and present study results may be attributed to differences in sample size, methodology, or the specific characteristics of the patient population studied.

Limitation(s)

The study’s limitations include a small sample size, which may affect the generalisability of the findings, and a cross-sectional design, which limits the ability to establish causality or track changes over time. Confounding factors such as age, lifestyle and environmental exposures were not fully controlled, and the diagnosis was based on clinical evaluation without advanced imaging or genetic confirmation. Additionally, methodological variability in sample collection and analysis techniques may have affected the consistency of the results, highlighting the need for further research with larger sample sizes and more standardised protocols.

Conclusion(s)

The frequency of buccal micronuclei is significantly elevated in individuals with PD compared to healthy controls. This supports the potential use of buccal micronucleus analysis as a non invasive biomarker for the early detection and monitoring of PD. The increased occurrence of micronuclei in PD patients could reflect underlying genomic instability and cellular damage, which are characteristic of neurodegenerative diseases like Parkinson’s. Given the accessibility and ease of obtaining buccal cell samples, this biomarker could serve as an important tool in the early diagnosis of PD, enabling timely interventions and improving disease management. However, further studies involving larger and more diverse patient populations are necessary to validate the utility of buccal micronuclei as a reliable diagnostic tool for PD.

Author Declaration:

    Financial or Other Competing Interests: None

    Was Ethics Committee Approval obtained for this study? Yes

    Was informed consent obtained from the subjects involved in the study? Yes

    For any images presented appropriate consent has been obtained from the subjects. NA

Plagiarism Checking Methods: [Jain H et al.]

    Plagiarism X-checker: Jan 28, 2025

    Manual Googling: Mar 27, 2025

    iThenticate Software: Mar 29, 2025 (11%)

ETYMOLOGY:

Author Origin

Emendations:

6

References

[1]Ben-Shlomo Y, Darweesh S, Llibre-Guerra J, Marras C, San Luciano M, Tanner C, The epidemiology of Parkinson’s disease The Lancet 2024 403(10423):283-92.10.1016/S0140-6736(23)01419-838245248  [Google Scholar]  [CrossRef]  [PubMed]

[2]Zhu J, Cui Y, Zhang J, Yan R, Su D, Zhao D, Temporal trends in the prevalence of Parkinson’s disease from 1980 to 2023: A systematic review and meta-analysis The Lancet Healthy Longevity 2024 5(7):e464-e479.10.1016/S2666-7568(24)00094-138945129  [Google Scholar]  [CrossRef]  [PubMed]

[3]Dahal T, The Parkinson pandemic: Emerging evidence J Neuroinfect Dis 2022 4:2  [Google Scholar]

[4]Ramesh S, Arachchige AS, Depletion of dopamine in Parkinson’s disease and relevant therapeutic options: A review of the literature AIMS Neuroscience 2023 10(3):200-31.10.3934/Neuroscience.202301737841347  [Google Scholar]  [CrossRef]  [PubMed]

[5]Bloem BR, Okun MS, Klein C, Parkinson’s disease The Lancet 2021 397(10291):2284-303.10.1016/S0140-6736(21)00218-X33848468  [Google Scholar]  [CrossRef]  [PubMed]

[6]Colizzi M, Lasalvia A, Ruggeri M, Prevention and early intervention in youth mental health: Is it time for a multidisciplinary and trans-diagnostic model for care? Int J Ment Health Systs 2020 14:01-04.10.1186/s13033-020-00356-932226481PMC7092613  [Google Scholar]  [CrossRef]  [PubMed]

[7]Arya R, Haque AA, Shakya H, Billah MM, Parvin A, Rahman MM, Parkinson’s disease: Biomarkers for diagnosis and disease progression Int J Mol Sci 2024 25(22):1237910.3390/ijms25221237939596444PMC11594627  [Google Scholar]  [CrossRef]  [PubMed]

[8]Koníčková D, Menšíková K, Tučková L, Hényková E, Strnad M, Friedecký D, Biomarkers of neurodegenerative diseases: Biology, taxonomy, clinical relevance, and current research status Biomedicines 2022 10(7):176010.3390/biomedicines1007176035885064PMC9313182  [Google Scholar]  [CrossRef]  [PubMed]

[9]Lin X, Kapoor A, Gu Y, Chow MJ, Peng J, Zhao K, Contributions of DNA damage to Alzheimer’s disease Int J Mol Sci 2020 21(5):166610.3390/ijms2105166632121304PMC7084447  [Google Scholar]  [CrossRef]  [PubMed]

[10]Paraskevaidi M, Allsop D, Karim S, Martin FL, Crean S, Diagnostic biomarkers for Alzheimer’s disease using non-invasive specimens J Clin Med 2020 9(6):167310.3390/jcm906167332492907PMC7356561  [Google Scholar]  [CrossRef]  [PubMed]

[11]Hughes AJ, Daniel SE, Kilford L, Lees AJ, Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: A clinico-pathological study of 100 cases J Neurol Neurosurg Psychiatry 1992 55(3):181-84.10.1136/jnnp.55.3.1811564476PMC1014720  [Google Scholar]  [CrossRef]  [PubMed]

[12]Migliore L, Coppede F, Fenech M, Thomas P, Association of micronucleus frequency with neurodegenerative diseases Mutagenesis 2011 26(1):85-92.10.1093/mutage/geq06721164187  [Google Scholar]  [CrossRef]  [PubMed]

[13]Welch G, Tsai LH, Mechanisms of DNA damage-mediated neurotoxicity in neurodegenerative disease EMBO Reports 2022 23(6):e5421710.15252/embr.20215421735499251PMC9171412  [Google Scholar]  [CrossRef]  [PubMed]

[14]Migliore L, Petrozzi L, Lucetti C, Gambaccini G, Bernardini S, Scarpato R, Oxidative damage and cytogenetic analysis in leukocytes of Parkinson’s disease patients Neurology 2002 58(12):1809-15.10.1212/WNL.58.12.180912084881  [Google Scholar]  [CrossRef]  [PubMed]

[15]Reimann H, Stopper H, Polak T, Lauer M, Herrmann MJ, Deckert J, Micronucleus frequency in buccal mucosa cells of patients with neurodegenerative diseases Sci Rep 2020 10(1):2219610.1038/s41598-020-78832-y33335130PMC7747561  [Google Scholar]  [CrossRef]  [PubMed]