Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis
Our aim was to identify possible correlations between physical disabilities assessed by expanded disability status score (EDSS) and neurodegenerative process measured by retinal nerve fibers thickness, and also with demyelization process measured by visual evoked potential with P100 wave latency at...
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| Format: | Article |
| Language: | English |
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Amaltea Medical Publishing House
2012-09-01
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| Series: | Romanian Journal of Neurology |
| Subjects: | |
| Online Access: | https://rjn.com.ro/articles/2012.3/RJN_2012_3_Art-04.pdf |
| _version_ | 1811242683365064704 |
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| author | Simona Petrescu Alina Ciocalteu Petru Ionescu Gina Doinita Vanghelie Mircea Moldovan Nicolae Munjev Cristina Panea Ovidiu Bajenaru |
| author_facet | Simona Petrescu Alina Ciocalteu Petru Ionescu Gina Doinita Vanghelie Mircea Moldovan Nicolae Munjev Cristina Panea Ovidiu Bajenaru |
| author_sort | Simona Petrescu |
| collection | DOAJ |
| description | Our aim was to identify possible correlations between physical disabilities assessed by expanded disability status score (EDSS) and neurodegenerative process measured by retinal nerve fibers thickness, and also with demyelization process measured by visual evoked potential with P100 wave latency at optic nerve level on patients diagnosed with multiple sclerosis (MS). This study aimed to find a structural biomarker at central nerve system (CNS) level which could correlate with clinical disability. The optic nerve is an accessible structure of CNS easy to investigate. We analyzed a population of 111 patients diagnosed with different clinical forms of multiple sclerosis based on 2005 revised Mc Donald criteria, for whom we assessed clinical disability by EDSS, and by different subscales of multiple sclerosis composite (MSFC) as timed to walk 25 foot (TW25F) and nine hole peg test (9HPT). Optic nerve involvement was assessed for each eye measuring visual acuity (VA) (Snellen chart), P100 wave latency by visual evoked potential (VEP) and retinal nerve fiber layer thickness (RNFL) by optical coherence tomography (OCT). The medium age of our population was 38.09 and the medium EDSS was 3.3. – 76 out of 111 were women. 79 patients were diagnosed with relapsing remitting (RR) MS, 7 with clinically isolated syndrome (CIS), the other were diagnosed with progressive form of MS: 7 with primary progressive MS and one with primary progressive with relapse MS. We obtained positive correlations, and statistically significant between EDSS and 9HPT for dominant hand (r=0.58, p = 0.0001) and also for non dominant hand (r = 0.66, p = 0.0001) using Pearson correlation. EDSS score correlates statistically significant with P100 wave latency and visual acuity for both eyes using Pearson correlation, so we obtained negative correlation between EDSS and VA for right eye (r = -0.45, p = 0.0001), and for left eye (r = -0.49, p = 0.0001). We also observed statistically significant positive correlation between EDSS and P100 wave latency for right eye (r = 0.405, p = 0.0001), and left eye (r = 0.400, p = 0.0001). RNFL doesn’t correlate with EDSS, VA or P100 wave latency. Using chi square correlation between EDSS score (we choose a cut of value of 3) and pathological value of RNFL by OCT we didn’t obtain a statistical significant result. The results were : for right eye phi = 0.01, p = 0.9), and for left eye (phi = -0.1, p = 0.3). Similar results were obtained for EDSS of 4.0. The results were: for right eye (phi=-0.009, p= 0.9), and for left eye (phi = 0.017, p = 0.8). In conclusion, in order to understand the pathology of multiple sclerosis the anterior optic nerve pathway offers an attractive model. Optic nerve assessment can be realized through non-invasive complementary methods. Functional and structural data of optic nerve can be obtained by VA measurement, VEP and OCT assessments. Our study showed that axonal pathology of the optic nerve (part of CNS exclusively composed by white matter) correlates with clinical disability measured by EDSS, suggesting that P100 latency is a functional biomarker of the disease. A prospective study to validate such a marker of the progression of the disease is needed. |
| first_indexed | 2024-04-12T13:54:39Z |
| format | Article |
| id | doaj.art-1d589297ab2f49f08d774969f3d350f3 |
| institution | Directory Open Access Journal |
| issn | 1843-8148 2069-6094 |
| language | English |
| last_indexed | 2024-04-12T13:54:39Z |
| publishDate | 2012-09-01 |
| publisher | Amaltea Medical Publishing House |
| record_format | Article |
| series | Romanian Journal of Neurology |
| spelling | doaj.art-1d589297ab2f49f08d774969f3d350f32022-12-22T03:30:24ZengAmaltea Medical Publishing HouseRomanian Journal of Neurology1843-81482069-60942012-09-0111312012610.37897/RJN.2012.3.4Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosisSimona Petrescu0Alina Ciocalteu1Petru Ionescu2Gina Doinita Vanghelie3Mircea Moldovan4Nicolae Munjev5Cristina Panea6Ovidiu Bajenaru7Department of Neurology of the Elias University Emergency Hospital, Bucharest, Romania“Al. Lahovari” Ophthalmology Hospital, Bucharest, Romania“Al. Obregia” Psychiatry Hospital, Bucharest, RomaniaDepartment of Neurology of the Elias University Emergency Hospital, Bucharest, RomaniaDepartment of Neurology of the Elias University Emergency Hospital, Bucharest, RomaniaDepartment of Neurology of the Elias University Emergency Hospital, Bucharest, RomaniaDepartment of Neurology of the Elias University Emergency Hospital, Bucharest, RomaniaDepartment of Neurology of the University Emergency Hospital, Bucharest, RomaniaOur aim was to identify possible correlations between physical disabilities assessed by expanded disability status score (EDSS) and neurodegenerative process measured by retinal nerve fibers thickness, and also with demyelization process measured by visual evoked potential with P100 wave latency at optic nerve level on patients diagnosed with multiple sclerosis (MS). This study aimed to find a structural biomarker at central nerve system (CNS) level which could correlate with clinical disability. The optic nerve is an accessible structure of CNS easy to investigate. We analyzed a population of 111 patients diagnosed with different clinical forms of multiple sclerosis based on 2005 revised Mc Donald criteria, for whom we assessed clinical disability by EDSS, and by different subscales of multiple sclerosis composite (MSFC) as timed to walk 25 foot (TW25F) and nine hole peg test (9HPT). Optic nerve involvement was assessed for each eye measuring visual acuity (VA) (Snellen chart), P100 wave latency by visual evoked potential (VEP) and retinal nerve fiber layer thickness (RNFL) by optical coherence tomography (OCT). The medium age of our population was 38.09 and the medium EDSS was 3.3. – 76 out of 111 were women. 79 patients were diagnosed with relapsing remitting (RR) MS, 7 with clinically isolated syndrome (CIS), the other were diagnosed with progressive form of MS: 7 with primary progressive MS and one with primary progressive with relapse MS. We obtained positive correlations, and statistically significant between EDSS and 9HPT for dominant hand (r=0.58, p = 0.0001) and also for non dominant hand (r = 0.66, p = 0.0001) using Pearson correlation. EDSS score correlates statistically significant with P100 wave latency and visual acuity for both eyes using Pearson correlation, so we obtained negative correlation between EDSS and VA for right eye (r = -0.45, p = 0.0001), and for left eye (r = -0.49, p = 0.0001). We also observed statistically significant positive correlation between EDSS and P100 wave latency for right eye (r = 0.405, p = 0.0001), and left eye (r = 0.400, p = 0.0001). RNFL doesn’t correlate with EDSS, VA or P100 wave latency. Using chi square correlation between EDSS score (we choose a cut of value of 3) and pathological value of RNFL by OCT we didn’t obtain a statistical significant result. The results were : for right eye phi = 0.01, p = 0.9), and for left eye (phi = -0.1, p = 0.3). Similar results were obtained for EDSS of 4.0. The results were: for right eye (phi=-0.009, p= 0.9), and for left eye (phi = 0.017, p = 0.8). In conclusion, in order to understand the pathology of multiple sclerosis the anterior optic nerve pathway offers an attractive model. Optic nerve assessment can be realized through non-invasive complementary methods. Functional and structural data of optic nerve can be obtained by VA measurement, VEP and OCT assessments. Our study showed that axonal pathology of the optic nerve (part of CNS exclusively composed by white matter) correlates with clinical disability measured by EDSS, suggesting that P100 latency is a functional biomarker of the disease. A prospective study to validate such a marker of the progression of the disease is needed.https://rjn.com.ro/articles/2012.3/RJN_2012_3_Art-04.pdfoptic nerveaxonal pathologymultiple sclerosis |
| spellingShingle | Simona Petrescu Alina Ciocalteu Petru Ionescu Gina Doinita Vanghelie Mircea Moldovan Nicolae Munjev Cristina Panea Ovidiu Bajenaru Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis Romanian Journal of Neurology optic nerve axonal pathology multiple sclerosis |
| title | Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis |
| title_full | Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis |
| title_fullStr | Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis |
| title_full_unstemmed | Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis |
| title_short | Optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis |
| title_sort | optic nerve assessment identifies biomarkers of axonal pathology in multiple sclerosis |
| topic | optic nerve axonal pathology multiple sclerosis |
| url | https://rjn.com.ro/articles/2012.3/RJN_2012_3_Art-04.pdf |
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