Whether Neurofilament is a Useful Biomarker for Women With Fabry Disease?

Mar 04, 2022

Serum Neurofilament Light Chain Is Not A Useful Biomarker Of Central Nervous System Involvement in Women With Fabry Disease

Contact: emily.li@wecistanche.com


Tomasz Hołub, Kamila Kędzierska, Katarzyna Muras-Szwedziak, Michał Nowicki* 

Department of Nephrology, Hypertension and Kidney Transplantation, Medical University of Lodz, Poland.

SUMMARY

Neurofilament Light Chain (NfL) serum concentration is a new noninvasive marker of  neurodegenerative disorders. Fabry disease (FD) leads to accumulation of glycosphingolipids in tissues  leading to progressive damage of critical body systems and organs, including peripheral and central  nervous system. There are no established serum markers of neurodegeneration in FD. Our cross sectional single-center study was designed to prove the concept that serum NfL levels could reflect  the severity of cognitive impairment and indirectly, the level of central nervous system involvement  in women at earlier stages of FD. Twelve women with a diagnosis of FD confirmed by genetic tests  and 12 matched healthy subjects were included. Serum concentrations of NfL were measured in  all subjects together with neuropsychological tests that included Mini Mental State Examination  (MMSE) and Montreal Cognitive Assessment Scale (MoCA). Quality of life was assessed with the  Short Form Survey (SF-36). FD patients and healthy subjects did not differ with respect to serum NfL  concentration, results of neuropsychological tests and quality of life. There was a significant positive  correlation between NfL and globotriaosylosphingosine (lyso-Gb3) concentration in women with FD  (R = 0,69, p = 0.01). There was also a correlation between NfL concentration and MoCA score but not  MMSE score. Receiver operating characteristic (ROC) analysis showed that the best predictor for Mild  Cognitive Impairment in both groups was eGFR. Serum NfL concentration does not appear to predict  the degree of nervous system involvement in women with FD.

Keywords: biomarker, neurodegeneration, quality of life

9

Cistanche helps you have a good quality of life

1. Introduction 

Fabry disease (FD), is an ultra-rare lysosomal storage  disease inherited as an X-linked disorder. FD is caused  by a deficiency of the lysosomal enzyme alphagalactosidase A (α-Gal A; E.C. 3.2.1.22). GLA gene,  located on X chromosome at Xq22, encodes a 429  amino acid precursor that is processed to a 398 amino  acid glycoprotein functioning as a homodimer. The  mutation of GLA leads to a deficiency or absence of the  enzyme α-galactosidase A (α-Gal A), which catalyzes the hydrolysis of globotriaosylceramide.

Alpha-Gal A deficiency leads to progressive  accumulation of glycolipids, and globotriaosylosphingosine  (lyso-Gb3) in different cells of the body, leading to  damage and dysfunction of affected organs. The most  affected cells and tissues in FD include glomerular  podocytes, cardiomyocytes, endothelial cells, vascular  muscles and peripheral and central nerves. It all leads  to dysfunction and failure of vital organs including  the heart, kidneys and nervous system. The severity  of the disease depends on the gender, age and the type  of mutation. Males with classic phenotype have the  highest risk of complications and early symptoms,  while younger women mostly become affected by FD  later in life (1).

Neurofilaments are the main component of the  neuronal cytoskeleton. Light (NfL), intermediate (NfM)  and heavy (NfH) chains have been distinguished on the  basis of their molecular mass. The serum concentration  of NfL and their importance as a marker of central  nervous system diseases have been demonstrated in  several recent studies (2,3). Neuronal damage and  physiological changes of the central nervous system  (CNS) cause release of neurofilaments. This translates  into elevated levels of NfL in the cerebrospinal fluid  and ultimately in the blood, where its concentration  reflects the rate at which NfL is released from the  neurons (3). Several studies have shown a strong  positive correlation between NfL in the blood and in  the cerebrospinal fluid (4). Serum NfL concentration  positively correlated with severity of various diseases  of the central nervous system including multiple  sclerosis, amyotrophic lateral sclerosis, frontotemporal  dementia, Alzheimer's disease, traumatic brain injuries  and degeneration of the nervous system associated with  HIV infection (2). 

 Fabry Disease

Whether Neurofilament is a Useful Biomarker for Women With Fabry Disease? 

The main physiologic factor influencing the NfL  concentration is the age of the patients. With aging  NfL concentration in healthy subjects increased by  2.2% annually. After the age of 60, a further significant  increase in NfL concentration is observed (5). These  changes could be attributed both to aging itself and  aggregation of comorbidities. It has been well proven  that patients with FD are characterized with much faster  brain aging compared to the healthy population (6).  Patients with FD are at increased risk of developing  cognitive dysfunction and most of them also have  symptoms of depression (7). Patients diagnosed with  severe depression have more cognitive impairment  compared to the general population (8). It also was  shown that in major depressive disorder higher levels  of NfL were observed (9). However, it has not been  confirmed in FD that the cognitive impairment is due to  depressive symptoms but its risk factors include male  gender, patients with classic disease phenotype, lower  intelligence quotient (IQ) and a history of stroke (10,11).

Many clinical tests have been developed to assess  cognitive functions, each of which assesses specific  domains of cognitive functioning, but in a different  aspect. Screening tests play a key role in allowing each  clinician to perform an initial assessment of cognitive  impairment. The best validated tests used for screening  for cognitive impairment include the Mini Mental State  Examination (MMSE) and the Montreal Cognitive  Assessment Scale (MoCA) (12,13). MMSE and MoCA  were used and well-validated in recent studies assessing  cognitive impairment in patients with FD (11,14). The aim of the study was to assess whether the  serum concentration of NfL could be a marker of the  early central nervous system involvement and cognitive  impairment in women with FD.

Table 1. Clinical characteristics of the study population

Biomarker

eGFR: estimated Glomerular Filtration Rate; MMSE: Mini Mental State Examination; MoCA: Montreal Cognitive Assessment Scale; SF-36:The  Short Form 36 Health Survey

2. Materials and Methods 

The study was approved by the Local Ethics Committee  and was conducted in accordance with the Declaration  of Helsinki. All patients gave informed written consent  to participate in the study. 

Twenty-four subjects were enrolled, including 12  women with confirmed FD and 12 matched healthy  controls. The study was conducted between March  and October 2020. The characteristics of the study  population is provided in Table 1. Diagnosis of FD was  based on the blood concentration of α-Gal A, lyso-Gb3  and on genetic tests. The tests were performed using  the Dry Blood Spot method (DBS). Individual results  are presented in Table 2. Only one woman from the  study group has been qualified for enzyme replacement  therapy.

The patients with FD included in our study came  from three different families. The degree of kindship and family trees of the patients are presented in Figure 1. 

The control group consisted of 12 healthy women,  matched to women with FD for age, education level  and kidney function. The exclusion criteria were the  diagnosis of any disease of the central nervous system  other than associated with FD, a disability that would  hinder any of the study procedures such as hearing or  vision loss, chronic kidney disease with eGFR < 30 mL/ min, dementia, acute functional psychiatric disorder and  uncontrolled hypertension (systolic BP > 130 mmHg or diastolic BP > 80 mmHg).

Every patient completed a quality-of-life  questionnaire The Short Form 36 Health Survey (SF-36)  and two screening tests assessing cognitive function,  MoCA and MMSE. 

The MoCA and MMSE are commonly used as the  screening neuropsychological scales. In MMSE, the  most commonly used cutoff point for the diagnosis of  dementia is a score of 24 points or less. The maximum  score for the MoCA test is 30 points; a result of 26 or  more points is defined as normal. A score from 19 to 25  is considered as mild cognitive impairment (MCI) (13).

During the same visit blood was collected in a  fasting state after an overnight rest from all participants  to determine serum concentration of NfL, creatinine,  urea, calcium, phosphate, parathyroid hormone (PTH)  and blood hemoglobin. The concentration of NfL was assessed with a Neurofilament Light Polypeptide (NEFL)  ELISA Kit (antibodies-online GmbH, Aachen, Germany).  Other parameters were measured using routine automated  laboratory methods in a local laboratory. 

The mean value and standard deviation were  calculated for each normally distributed variable. For  non-normally distributed variables median value with  the interquartile range (IQR) was calculated. Analysis  of the normality of the distribution was performed with  the Shapiro-Wilk test, and on the basis of its results, the  parametric t-test or the non-parametric Mann-Whitney  U test was used. Receiver operating characteristic  (ROC) curves were drawn to assess the value of serum concentration of NfL, eGFR, lyso-Gb3 and α-Gal A  indicating presence of mild cognitive impairment in  the MoCA test. Statistica 13.1 software was used to  perform the statistical analysis.

Table 2. Type of genetic variant, globotriaosylosphingosine  and α-galactosidase A concentration in blood in women  with Fabry disease

Fabry disease

Lyso-Gb3: globotriaosylosphingosine; α-Gal A - α-galactosidase A.

Fabry disease

Figure 1. Family trees of three families with Fabry disease  included in our study

3. Results and Discussion 

Serum NfL concentration did not significantly differ  between groups (0,053 ± 0,1 vs. 0,048 ± 0,09 ng/ mL; p = 0.9). Women with FD also had similar blood  hemoglobin, serum phosphate and PTH. Serum calcium  concentration was higher in the FD group than in  healthy women (2.38 ± 0.08 vs. 2.28 ± 0.11 mmoL/ L, respectively; p = 0.03). MMSE, MoCA and SF-36  scores were also similar in each group.

In women with FD there was a significant positive  correlation between age and serum PTH concentration  (R = 0.62, p = 0.03). The same correlation was not seen  in the control group.

In the FD group there was also a significant positive  correlation between NfL and lyso-Gb3 concentration (R  = 0.69, p = 0.01). 

In the control group a significant negative correlation  was found between serum NfL and hemoglobin (R =  -0.8, p = 0.001) MoCA score (R = -0.6, p = 0.04), and  a positive correlation between NfL and serum PTH  concentration (R = 0.8, p = 0.0009). These correlations  were not present in women with FD. 

In the control group there was a strong negative  correlation between age and MoCA score (R = -0.83,  p = 0.0009) and a positive correlation between age and  SF-36 score (R = 0.6, p = 0.04). In the FD group only a  significant correlation between age and MoCA score was  observed (R = -0.85, p = 0.0004). 

ROC analysis showed that the best predictor for MCI  in both groups was eGFR. Area under the curve (AUC)  for women with FD was 0.938 (95% CI: 0.792 - 1.083)  and in the control group 0.857 (95% CI: 0.628 - 1.086).  Detailed information on ROC analysis results is provided  in Figure 2.

biomarker

Figure 2. Predictors of mild cognitive impairment and receiver operating characteristic curves.

Our cross-sectional single-center study was designed  to prove the concept that serum NfL levels could reflect  the severity of cognitive impairment and indirectly, the  level of CNS involvement in women at earlier stages  of FD without previous clinical symptoms of nervous  system involvement. The hypothesis behind the study  was that damage to the neurons in FD patients will result  in an increase in concentration of NfL in cerebrospinal  fluid and its penetration into the peripheral circulation,  which can be assessed by measuring their serum levels.  Loeffler T, et al. in a mouse model showed that NfL  concentration can be a valuable biomarker not only in  typical neurodegenerative diseases but also in other  diseases that have an additional neuronal component,  like lysosomal storage diseases, e.g., Gaucher disease  (15). Erante D, et al. confirmed that NfL is a good  biomarker of neurodegeneration in Niemann-Pick  disease (16). Ru Y, et al. described NfL as a biomarker of  neurodegeneration in neuronal ceroid lipofuscinosis type  2 (CLN2 disease), another lysosomal storage disease.  These authors showed in a canine model a significant  correlation between serum NfL concentration and disease  progression. Differently, in the human part of their study  they were unable to show correlations between NfL  concentration and CLN2 severity or age of the patients.  However they showed, that NfL concentration decreased  by 50% after enzyme replacement therapy was initiated  (17). 

Neurofilament

Whether Neurofilament is a Useful Biomarker for Women With Fabry Disease? 

The above cited studies assessed the utility of NfL  as a biomarker for the nervous system involvement in  some lysosomal storage diseases. To our knowledge,  there have been no similar studies in patients with FD.  In FD women usually have a milder disease course  than men, which is due to a random inactivation of the  X chromosome. However, severe involvement of such  target organs as the heart or kidneys is quite common  (18). Despite residual enzyme activity, women with FD  develop characteristic symptoms with age, including  central nervous system symptoms. However, the clinical  manifestation is more varied and the symptoms appear  about 10 years later compared to men. The median  interval between the onset of early FD symptoms and  correct diagnosis is even more delayed in women, with  a delay of 19 years on average (19). The identification  of the marker of early nervous system involvement in  women with FD could be particularly clinically relevant  since women with this disease develop symptoms much  later than men but the nervous system is most frequently  involved. The symptoms of FD significantly interfere  with patients daily functioning, which contributes to a  significantly reduced lifespan. Studies show that the life  expectancy of men with Fabry disease is 15 to even 20 years shorter, and that of women is 6 to 10 years shorter  compared to the average life expectancy in the population  (20). In our study, we were not able to confirm that NfL  concentration is a clinically useful biomarker for an  assessment of the degree of nervous system involvement  in women with FD. It may be due to the young age of the  patients included in the study and the fact that most of  them had no or moderate typical symptoms of the disease  from other organs than the nervous system. In most of  our study subjects genetic tests were performed due to  diagnosis of FD in their relatives.

The α-Gal activities and the lyso-Gb3 concentration  are the serum markers commonly used in the diagnosis  and monitoring of FD. Measurement of α-Gal activity  in plasma or leukocytes, which is the reference method  for laboratory confirmation of the diagnosis in men, is  often inconclusive in female patients whose enzymatic  activity can range from low to normal values. In our  study 25% of women with FD had normal α-Gal activity  and the lyso-Gb3 concentration was above normal in all  cases. The basis underlying variability of the phenotype  in women is still poorly understood, but the role of X  chromosome inactivation appears to be most important  (21). In FD, lyso-Gb3 levels are always elevated in men,  but only between 40 and 60% in women. Lyso-Gb3  levels in women increase with age and are within the  normal range in childhood. However, when symptomatic  FD is suspected in adult women, both measurement  of α-Gal A and plasma lyso-Gb3 activity improves the  diagnostic value (18).

In our study the concentration of lyso-Gb3 did  not correlate with the results of the tests validated for  diagnosis of cognitive dysfunction and with the results  of the SF-36. Despite no difference in NfL concentration  between study and control group, a positive significant  correlation between the concentration of lyso-Gb3 and  NfL in the populations of women with FD was seen. An  accumulation of lyso-Gb3 deposits as a result of α-Gal A  deficiency causes damage to nerve cells with subsequent  pro-inflammatory activity (22,23). It is possible that due  to early diagnosis of the disease and lack of previous  neurologic symptoms in our study group, the risk of  neurodegeneration was low and thus no difference in  serum NfL concentration between the two groups was  observed.

Studies conducted so far have shown that patients  with FD have significant cognitive deficits (24). Most  of the studies attributed the changes of cognitive  functioning in the course of FD to the accumulation of  glycosphingolipids in the cerebral circulation (25). In  our study, however, no relationship was found between  lyso-Gb3 concentration and cognitive impairment. Many  psychological tests have been developed for screening for  cognitive impairment in clinical practice. They differ in  their sensitivity and specificity. The most commonly used  screening test in the diagnosis of cognitive impairment  is MMSE. Körver S, et al. showed that MMSE did not  allow screening for MCI in patients with FD and it may  lose its predictive value when the cognitive impairment  is milder, less prevalent and occurs predominantly in  the executive domain, as appears to be the case in FD  (14). Our results are consistent with the finding that  MMSE cannot accurately distinguish patients with subtle  cognitive impairment from patients without clinically  detectable cognitive impairment. Therefore MoCA  should be preferred to MMSE in populations at risk for  MCI or with early-stage dementia. In a study conducted  by Körver S, et al. MoCA questionnaire classified 21%  of patients with FD as having MCI, compared with 11%  in the reference group (14). These data are consistent  with our results. In our study more patients were  identified as having MCI with the MoCA test compared  to MMSE. 

In our study, the mean score in MMSE and MoCA  test was similar in FD women and control subjects. Löhle  M, et al. also did not find any significant difference  in the tests accessing cognitive functions between the  patients with FD and healthy subjects. Their study group  was larger, included both women and men in different  stages of FD and with both classic and late type (11).  In contrast our study included only women without any  signs of central nervous system involvement.

Our study results indicate that neither depression nor  disease severity, time since FD symptoms, and enzyme  activity predicted a cognitive dysfunction. The analysis  found no association between cognitive impairment and  test scores

Kidney disease is one of the major complications of  FD and is associated with a continuous accumulation  of glycosphingolipids throughout the nephron. This  leads to progressive loss of GFR and eventually to  renal failure. The kidney and brain share similar  hemodynamic abilities, such as vasoregulation of the  microcirculation. Studies have shown that lower eGFR  was associated with increasing severity of chronic white  matter hyperintensities (CWMH), and patients with more  stable eGFR had fewer strokes than those with rapidly  progressive kidney disease (26). Our study also suggests  the importance of eGFR levels as a predictor of MCI  in this patient group. Therefore, further research into  the relationship between eGFR levels and MCI in FD  patients is warranted (9).

Neurofilament

Whether Neurofilament is a Useful Biomarker for Women With Fabry Disease? 

In our study, we did not show an association between  elevated serum calcium levels in women with FD and  serum PTH. In one previous study the authors tried to  elucidate the pathomechanism of calcium-phosphate  disturbances in patients with FD using a mouse model  GlatmTg (CAG-A4GALT). The study results showed a  relationship between hypercalcemia and hypercalciuria  and secondary hyperthyroidism (27). This may suggest  that patients with FD are at increased risk of accelerated  bone resorption and osteomalacia (28). 

Our study has limitations, because we have  assessed the concentration of NfL only in the peripheral circulation. However, previous studies showed that the  concentration of NfL in the blood strongly correlates  with its concentration in the cerebrospinal fluid (29,30).  Another limitation is a small study group, which is a  result of the ultra-low incidence of the disease in the  population and of the selection of only the female  patients without any previous signs of central nervous system involvement typical for FD.

4. Conclusions  

The results of our study did not confirm the relation  between the degree of nervous system involvement  in women with FD and serum NfL levels. Therefore  serum NfL cannot be considered as a useful marker of  cognitive impairment in this disease. Our study also  showed that MoCA is the preferred test to detect mild  cognitive impairment in FD.

Funding: The study was supported by the Medical  University of Lodz grant No. 503/1-151-02/503-01. 

Conflict of Interest: The authors have no conflicts of  interest to disclose. 

References 

1. Sodré LSS, Huaira RMNH, Bastos MG, Colugnati FAB,  Coutinho MP, Fernandes NMDS. Screening for Fabry  disease in kidney disease: a cross-sectional study in males  and females. Kidney Blood Press Res. 2017; 42:1258- 1265. 

2. Weydt P, Oeckl P, Huss A, Muller K, Volk AE, Kuhle J,  Knehr A, Andersen PM, Prudlo J, Steinacker P, Weishaupt  JH, Ludolph AC, Otto M. Neurofilament levels as  biomarkers in asymptomatic and symptomatic familial  amyotrophic lateral sclerosis. Ann Neurol. 2016; 79:152- 158. 

3. Khalil M, Teunissen CE, Otto M, Piehl F, Sormani  MP, Gattringer T, Barro C, Kappos L, Comabella M,  Fazekas F, Petzold A, Blennow K, Zetterberg H, Kuhle J.  Neurofilaments as biomarkers in neurological disorders.  Nat Rev Neurol. 2018; 14:577-589. 

4. Thebault S, D RT, Lee H, Bowman M, Bar-Or A, Arnold  DL, H LA, Tabard-Cossa V, Freedman MS. High serum  neurofilament light chain normalizes after hematopoietic  stem cell transplantation for MS. Neurol Neuroimmunol  Neuroinflamm. 2019; 6:e598. 

5. Khalil M, Pirpamer L, Hofer E, Voortman MM, Barro  C, Leppert D, Benkert P, Ropele S, Enzinger C, Fazekas  F, Schmidt R, Kuhle J. Serum neurofilament light  chain levels in normal aging and their association with  morphologic brain changes. Nat Commun. 2020; 11:812. 

6. Wadley VG, McClure LA, Warnock DG, Lassen-Greene  CL, Hopkin RJ, Laney DA, Clarke VM, Kurella Tamura  M, Howard G, Sims K. Cognitive function in adults  aging with fabry disease: a case-control feasibility study  using telephone-based assessments. JIMD Rep. 2015;  18:41-50. 

7. Cole AL, Lee PJ, Hughes DA, Deegan PB, Waldek S,  Lachmann RH. Depression in adults with Fabry disease:  a common and under-diagnosed problem. J Inherit Metab  Dis. 2007; 30:943-951. 

8. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive  impairment in depression: a systematic review and meta-analysis. Psychol Med. 2014; 44:2029-2040. 

9. Tapia D, Kimonis V. Stroke and chronic kidney disease  in Fabry disease. J Stroke Cerebrovasc Dis. 2021;  30:105423. 

10. Loeb J, Feldt-Rasmussen U, Madsen CV, Vogel  A. Cognitive impairments and subjective cognitive  complaints in Fabry disease: a nationwide study and  review of the literature. JIMD Rep. 2018; 41:73-80. 

11. Lohle M, Hughes D, Milligan A, Richfield L, Reichmann  H, Mehta A, Schapira AH. Clinical prodromes of  neurodegeneration in Anderson-Fabry disease. Neurology.  2015; 84:1454-1464. 

12. Tombaugh TN, McIntyre NJ. The mini-mental state  examination: a comprehensive review. J Am Geriatr Soc.  1992; 40:922-935. 

13. Zhuang L, Yang Y, Gao J. Cognitive assessment tools for  mild cognitive impairment screening. J Neurol. 2021;  268:1615-1622. 

14. Körver S, van de Schraaf SAJ, Geurtsen GJ, Hollak  CEM, van Schaik IN, Langeveld M. The mini mental  state examination does not accurately screen for objective  cognitive impairment in Fabry Disease. JIMD Rep. 2019;  48:53-59. 

15. Loeffler T, Schilcher I, Flunkert S, Hutter-Paier  B. Neurofilament-light chain as biomarker of  neurodegenerative and rare diseases with high translational  value. Front Neurosci. 2020; 14:579. 

16. Eratne D, Loi SM, Li QX, Varghese S, McGlade A,  Collins S, Masters CL, Velakoulis D, Walterfang M.  Cerebrospinal fluid neurofilament light chain is elevated  in Niemann-Pick type C compared to psychiatric disorders  and healthy controls and may be a marker of treatment  response. Aust N Z J Psychiatry. 2020; 54:648-649. 

17. Ru Y, Corado C, Soon RK, Jr, Melton AC, Harris A, Yu  GK, Pryer N, Sinclair JR, Katz ML, Ajayi T, Jacoby D,  Russell CB, Chandriani S. Neurofilament light chain is  a treatment-responsive biomarker in CLN2 disease. Ann  Clin Transl Neurol. 2019; 6:2437-2447. 

18. Michaud M, Mauhin W, Belmatoug N, Garnotel R,  Bedreddine N, Catros F, Ancellin S, Lidove O, Gaches  F. When and how to diagnose Fabry disease in clinical  pratice. Am J Med Sci. 2020; 360:641-649. 

19. Godel T, Köhn A, Muschol N, Kronlage M, Schwarz D,  Kollmer J, Heiland S, Bendszus M, Mautner VF, Baumer  P. Dorsal root ganglia in vivo morphometry and perfusion  in female patients with Fabry disease. J Neurol. 2018;  265:2723-2729. 

20. Nowicki M, Bazan-Socha S, Blazejewska-Hyzorek B,  Gellert R, Imiela J, Kazmierczak J, Klopotowski M, OkoSarnowska Z, Pawlaczyk K, Ponikowski P, Slawek J,  Sykut-Cegielska J, Witkowski A, Zwolinska D. Enzyme  replacement therapy in Fabry disease in Poland: a position  statement. Pol Arch Intern Med. 2020; 130:91-97. 

21. Echevarria L, Benistan K, Toussaint A, Dubourg O,  Hagege AA, Eladari D, Jabbour F, Beldjord C, De  Mazancourt P, Germain DP. X-chromosome inactivation  in female patients with Fabry disease. Clin Genet. 2016;  89:44-54. 

22. De Francesco PN, Mucci JM, Ceci R, Fossati CA,  Rozenfeld PA. Higher apoptotic state in Fabry  disease peripheral blood mononuclear cells.: effect of globotriaosylceramide. Mol Genet Metab. 2011; 104:319- 324. 

23. De Francesco PN, Mucci JM, Ceci R, Fossati CA,  Rozenfeld PA. Fabry disease peripheral blood  immune cells release inflammatory cytokines: role of  globotriaosylceramide. Mol Genet Metab. 2013; 109:93- 99. 

24. Elstein D, Doniger GM, Altarescu G. Cognitive testing in  Fabry disease: pilot using a brief computerized assessment  tool. Isr Med Assoc J. 2012; 14:624-628. 

25. Ferraz MJ, Kallemeijn WW, Mirzaian M, Herrera Moro  D, Marques A, Wisse P, Boot RG, Willems LI, Overkleeft  HS, Aerts JM. Gaucher disease and Fabry disease: new  markers and insights in pathophysiology for two distinct  glycosphingolipidoses. Biochim Biophys Acta. 2014;  1841:811-825. 

26. Oksala NK, Salonen T, Strandberg T, Oksala A,  Pohjasvaara T, Kaste M, Karhunen PJ, Erkinjuntti T.  Cerebral small vessel disease and kidney function predict  long-term survival in patients with acute stroke. Stroke.  2010; 41:1914-1920. 

27. Maruyama H, Taguchi A, Mikame M, Lu H, Tada N,  Ishijima M, Kaneko H, Kawai M, Goto S, Saito A, Ohashi  R, Nishikawa Y, Ishii S. Low bone mineral density due to  secondary hyperparathyroidism in the Gla(tm)Tg(CAGA4GALT) mouse model of Fabry disease. FASEB Bioadv.  2020; 2:365-381. 

28. Germain DP, Benistan K, Boutouyrie P, Mutschler C.  Osteopenia and osteoporosis: previously unrecognized  manifestations of Fabry disease. Clin Genet. 2005; 68:93- 95. 

29. Novakova L, Zetterberg H, Sundström P, Axelsson  M, Khademi M, Gunnarsson M, Malmeström C,  Svenningsson A, Olsson T, Piehl F, Blennow K, Lycke  J. Monitoring disease activity in multiple sclerosis using  serum neurofilament light chain protein. Neurology. 2017;  89:2230-2237. 

30. Bavato F, Cathomas F, Klaus F, Gütter K, Barro C,  Maceski A, Seifritz E, Kuhle J, Kaiser S, Quednow BB.  Altered neuroaxonal integrity in schizophrenia and major  depressive disorder assessed with neurofilament light  chain in serum. J Psychiatr Res. 2021; 140:141-148. 


You Might Also Like