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. 2020 Oct 27;32(1):17. doi: 10.1186/s43162-020-00017-w

The pattern of thyroiditis in multiple sclerosis: a cross-sectional study in a tertiary care hospital in Egypt

Nearmeen M Rashad 1,, Marwa G Amer 2, Waleed M Reda Ashour 3, Hassan M Hassanin 1
PMCID: PMC7588281  PMID: 33132691

Abstract

Background

Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system with varied clinical features. Disease-modifying drugs (DMDs) of MS associated with different types of thyroiditis. In this cross-sectional study, we aimed to assess the prevalence of thyroid dysfunction in MS and to investigate the association between DMDs and the risk of thyroiditis in MS. A cross-sectional study included 100 patients with relapsing-remitting multiple sclerosis (RRMS) in relapse, and the diagnosed was according to revised McDonald’s criteria 2010.

Results

Our results revealed that the prevalence of thyroiditis was 40%; autoimmune (34%) and infective (6%) among patients with RRMS in relapse and cerebellar symptoms were significantly higher in patients with thyroiditis compared to patients without thyroiditis. Regarding the association between DMDs and thyroiditis, the prevalence of patients treated with interferon-beta-1b was higher in MS patients with thyroiditis compared to MS patients without thyroiditis. However, the prevalence of patients treated with interferon-beta-1a was lower in MS patients with thyroiditis compared to MS patients without thyroiditis. In addition, we found CMV infection was more common in patients treated by interferon beta-1b and candida infection was common in patients treated by fingolimod.

Conclusions

Thyroiditis is commonly observed in patients with RRMS in relapse and higher prevalence of patients treated with interferon-beta-1b which is commonly associated with thyroiditis and CMV infection; however, candida thyroid infection was common in MS patients treated by fingolimod.

Keywords: RRMS, Thyroiditis, Interferon beta-1b, Fingolimod, DMDs

Background

Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disorder of the central nervous system [1]. MS has variable clinical types: acute fulminate forms, clinically isolated syndrome (CIS), relapsing-remitting MS (RRMS), and secondary chronic progressive (SP) MS [2].

Mounting evidence indicates that MS associated with other autoimmune diseases as they have the same genetic or environmental exposures. In further, as new therapies emerge that raise the risk of autoimmune diseases such as thyroid disease, a growing body of evidence has corroborated that most immune therapies for MS are associated with immunosuppression, both short-term/intermittent (pulsed, induction) and long-term persistent immunosuppression (chronic, maintenance). Immune suppression medication associated with opportunistic or increased infections [3].

Disease-modifying drugs (DMDs) have been utilized to ameliorate MS condition including intramuscular interferon beta-1a, subcutaneous IFN-b, subcutaneous IFNb-1b, and fingolimod [4, 5]. Most of these drugs act on the immune system and suppress immune cells so that auto-reactive immune cells will be unable to attack the myelin sheaths of neurons [6].

Thyroid dysfunction (TD) frequently occurs as an autoimmune complication of immune reconstitution therapy (IRT), especially in individuals with multiple sclerosis treated with DMDs. Moreover, the immune suppression of DMDs is associated with opportunistic or increased infections. We aimed in this study to assess the prevalence of thyroid dysfunction in MS and to investigate the possible causes of thyroiditis in MS in relation to DMDs.

Methods

This cross-sectional study enrolled 200 consecutive patients fulfilling the diagnostic criteria for MS according to the revised McDonald’s criteria 2010 [7]. The patients were recruited from outpatient clinics of Neurology and Internal Medicine Departments, and 40 age- and sex-matched healthy controls. The MS group were diagnosed with relapsing-remitting multiple sclerosis (during relapse) and were divided into two subgroups according to thyroid autoantibodies. The enrolled patients met all of the following criteria of infectious thyroiditis as painful thyroid palpation, fever, and neck pain, together with laboratory tests indicating acute systemic inflammation and abnormal thyrotropin and free thyroxin levels. The diagnosis of autoimmune thyroiditis was obtained based on clinical findings and positive serum antibodies; anti-thyroglobulin antibodies (anti-TG) and anti-thyroid peroxidase antibodies (anti-TPO). All subjects were subjected to thorough history taking and complete general and neurological examination.

Exclusion criteria included pregnancy, lactation, heart, liver, renal, or other endocrine diseases. The diagnosis was supported by thyroid ultrasonographic examination with a 7.5-MHz transducer, and brain and spine MRI were done for all included patients. Laboratory tests were conducted in the Microbiology Unit of Clinical Pathology Department.

Ethics approval and consent to participate

Written informed consent was taken from all of the participants after explaining the details and benefits as well as risks to them. The ethical committee of the Faculties of Medicine approved the current study.

Blood sampling and laboratory tests

Blood samples were drawn from all subjects after an overnight fast. Serum C-reactive protein (CRP) was measured using automated clinical chemistry analyzer Cobas Integra 400 plus (Roche Diagnostics, Deutschland). Serum TSH, FT3, and FT4 levels were measured using the Cobas e 601® analyzer (Roche Diagnostics, Mannheim, Germany) by ECLIA. Measurements of serum anti-TG and anti-TPO levels were done by enzyme-linked immunosorbent assay (ELISA) (Genesis Diagnostics, Little port, UK). Complete blood count was done for patients and control using automated hematology analyzer sysmex KX-21N (Sysmex, America).

Blood cultures were done using Bact/ALERT culture bottles and incubated for 7 days in the automated Bact/ALERT 3D Microbial Detection System (bioMérieux, Inc, Durham, USA). The positive blood culture bottles and other isolated samples were initially grown on blood agar and Sabouraud dextrose agar for 24 to 48 h at 37 °C.

Identification

Candida colonies appeared as flat, smooth, and pale off-white colored and identified by gram stain. Germ tube formation had been tested for the isolated colony to differentiate C. albicans against non-albicans candida (NAC). Candida species were identified using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) (bioMérieux, Marcy l’Etoile, France) according to the manufacturer instructions.

Antifungal susceptibility testing

The susceptibility to antifungal agents was carried out using Vitek 2 system (bioMérieux, Inc, Durham, USA) for yeast (card no ACT/YS07) containing serial twofold dilutions of six antifungal drugs: fluconazole, flucytosine, voriconazole, caspofungin, micafungin, and amphotericin B were provided by the manufacturer and in accordance with the guidelines.

Detection of cytomegaly virus (CMV) serological markers

Serological screening of blood samples was performed by detection of anti-CMV IgM and IgG by electro-chemiluminescence immunoassay (ECLIA) technique using Cobas e 410 analyzers (Roche Diagnostics, Mannheim, Germany). All assays were performed according to the recommended manufacturers’ instructions. A reactive result is a sample/cutoff value ≥ 1 for CMV-IgG and > 1 for CMV-IgM.

Statistical analysis

Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows (version 21.0; SPSS, Chicago, IL, USA). Data were expressed using descriptive statistic (mean ± standard deviation) and were analyzed; the comparison between two groups with parametric variables was done using independent sample t test (t) and nonparametric variables using Mann–Whitney test (z). Logistic regression analysis was performed to determine the variable associated with DMDs. We considered P to be significant at < 0.05 with a 95% confidence interval (CI).

Results

Clinical and laboratory characteristics of patients with MS

This cross-sectional study is conducted on patients with RRMS in relapsing. The prevalence of thyroiditis was 40% (autoimmune = 34% and infective = 6%) as shown in Fig. 1. As regards the clinical picture of MS, only cerebellar symptoms were significantly higher in patients with thyroiditis compared to patients without thyroiditis. Patients with thyroiditis as expected had significantly higher values of thyroid autoantibody, anti-TPO, and anti-TG, as well as TSH, compared to MS without thyroiditis. Regarding inflammatory markers, WBC count, neutrophil count, and hs-CRP were significantly higher in the thyroiditis group as compared to MS without thyroiditis. On the contrary, patients with thyroiditis had significantly lower levels of FT3, FT4, hemoglobin, and platelet compared to MS without thyroiditis (Table 1, P < 0.05).

Fig. 1.

Fig. 1

The prevalence of thyroiditis among patients with multiple sclerosis

Table 1.

Clinical and laboratory characteristics of patients with MS

Characteristics MS without thyroiditis (n = 120) MS with thyroiditis (n = 80) P
Age (years) 30.81 ± 6.8 30.4 ± 4.98 0.740
Disease duration/year 5.97 ± 0.89 6.45 ± 0.91 ˂ 0.05*
Number of relapses in the last 2 years 2.97 ± 0.92 3.45 ± 0.93 ˂ 0.05*
Clinical picture of MS
 Sensory 50 (41.7%) 46 (57.5%) 0.089
 Motor 80 (66.7%) 56 (70%) 0.450
 Cerebellar 56 (46.7%) 54 (67.5%) ˂ 0.05*
 Speech 16 (13.5%) 14 (17.5%) 0.383
 Visual 78 (65%) 58 (72.5%) 0.286
Fasting plasma glucose (mg/dl) 87.3 ± 4.8 88.5 ± 3.9 0.732
FT3 (pg/ml) 2.58 ± 0.32 1.01 ± 0.79 ˂ 0.001*
FT4 (ng/dl) 1.28 ± 0.315 1.11 ± 0.77 ˂ 0.001*
TSH (μIU/ml) 3.64 ± 1.76 4.27 ± 3.420 ˂ 0.001*
Anti-TPO (IU/ml) 32.64 ± 8.1 144.87 ± 55.1 ˂ 0.001*
Anti-TG (IU/ml) 1.1 ± 0.2 1.8 ± 1.52 0.363
WBC count (cell × 103/μl) 10.3 ± 1.1 13.7 ± 6.4 ˂ 0.001*
Hemoglobin (g/dl) 9.6 ± 2.71# 8.5 ± 1.56 ˂ 0.001*
Platelet (cell × 103/μl) 114.8 ± 30.1 77.4 ± 46.7 ˂ 0.001*
Neutrophil count (cell × 103/μl) 5.61 ± 0.72 10.2 ± 2.68 ˂ 0.001*
hs-CRP (μg/ml) 1.16 ± 0.63 5.94 ± 3.89 ˂ 0.001*
DMDs
 Methylprednisolone 60 (100%) 80 (100%)
 Interferon beta-1a 18 (30%) 8 (10 %) ˂ 0.001*
 Interferon beta-1b 39 (65%) 60 (75.5%) ˂ 0.001*
 Fingolimod 14 (23.3%) 12 (15%) 0.224

TSH thyroid-stimulating hormone, FT3 free triidothyronine, FT4 free thyroxine, anti-TG anti-thyroglobulin antibodies, anti-TPO anti-thyroid peroxidase antibodies, WBC white blood cell, CRP C-reactive protein, DMDs disease-modifying drugs

*P < 0.05

Regarding the prevalence of DMDs in studied groups, we observed a significantly higher prevalence of MS patients with thyroiditis treated with interferon-beta-1b. However, there was a significantly higher prevalence of MS patients without thyroiditis treated with interferon beta-1a (Table 1, P < 0.05).

Clinical and laboratory characteristics of patients with MS classified according to thyroid function tests

Among the thyroiditis group, the 68 patients had autoimmune and the 12 patients had infective thyroiditis. There were statistically significant increases of anti-TPO, TSH, hemoglobin, and platelet in autoimmune group compared to the infective thyroiditis group (P < 0.05). On the other hand, there were significantly lower values of FT3, FT4, WBC count, neutrophil count, and hs-CRP in autoimmune group to infective thyroiditis group of patients (P < 0.05) (Table 2).

Table 2.

Clinical and laboratory characteristics of patients with MS classified according to thyroid function tests

Autoimmune thyroiditis (n = 68) Infectious thyroiditis (n = 12) P value
Age (years) 29.2 ± 4.36 31.6 ± 6.32 0.299
Disease duration/year 6.3 ± 0.96 6.7 ± 0.88 0.215
Number of relapses in the last 2 years 3.3 ± 0.98 3.7 ± 0.87 0.223
Clinical picture of MS
 Sensory 41 (60.2%) 7 (58.3%) 0.580
 Motor 51 (76.4%) 8 (66.7%) 0.430
 Cerebellar 52 (75%) 7 (58.3%) 0.246
 Speech 10 (14.7%) 3 (25%) 0.356
 Visual 51 (75%) 9 (75%) 0.645
FT3 (pg/ml) 1.64 ± 0.585 2. 7 ± 0.758 ˂ 0.001*
FT4 (ng/dl) 1.3 ± 0.57 2.5 ± 0.75 ˂ 0.001*
TSH (μIU/ml) 6.2 ± 1.5 0.133 ± 0.056 ˂ 0.001*
Anti-TPO (IU/ml) 193.3 ± 71.08 32.39 ± 5.76 ˂ 0.001*
Anti-TG (IU/ml) 1.9 ± 1.49 1.48 ± 1.35 0.337
WBC count (cell × 103/μl) 12.3 ± 1.9 15.7 ± 3.4 ˂ 0.001*
Hemoglobin (g/dl) 8.6 ± 2.71 8.5 ± 1.56 0.135
Platelet (cell × 103/μl) 115.8 ± 28.1 34.4 ± 15.1 ˂ 0.001*
Neutrophil count (cell × 103/μl) 9.61 ± 1.091 12.12 ± 2.68 ˂ 0.001*
hs-CRP (μg/ml) 4.46 ± 1.53 9.64 ± 2.99 ˂ 0.001*
DMDs
 Methylprednisolone 68 (100%) 12 (100%)
 Interferon beta-1a 6 (8.8%) 2 (16.7%) 0.346
 Interferon beta-1b 56 (82.3%) 4 (33.3%) ˂ 0.001*
 Fingolimod 4 (5.8%) 8 (66.6%) ˂ 0.001*

TSH thyroid-stimulating hormone, FT3 free triidothyronine, FT4 free thyroxine, anti-TG anti thyroglobulin antibodies, anti-TPO anti-thyroid peroxidase antibodies, WBC white blood cell, CRP C-reactive protein, DMDs disease-modifying drugs

*P < 0.05

Regarding the prevalence of DMDs in the thyroiditis group, we observed a significantly higher prevalence of autoimmune thyroiditis in patients treated with interferon beta-1b. However, there was a significantly higher prevalence of infective thyroiditis in patients treated with fingolimod (Table 2, P < 0.05).

Prevalence of microorganisms in infective thyroiditis

Among infective thyroiditis, 5 patients had CMV, 3 had streptococcal infections, 3 had candida, and only 1 patient had staphylococcal infections in Fig. 2.

Fig. 2.

Fig. 2

The prevalence of microorganisms in infective thyroiditis

The association between DMDs and types of microorganisms

Regarding the association between DMDs and types of microorganisms among infective thyroiditis groups, we found CMV infection was more common in patients treated by interferon beta-1b and candida infection was common in patients treated by fingolimod (Fig. 2).

The association between DMDs and levels of thyroid autoantibodies

Among the autoimmune thyroiditis group, we found the levels of anti-TPO and anti-TG were significantly higher in patients treated by interferon beta-1b compared to patients treated by fingolimod (Figs. 3 and 4, respectively).

Fig. 3.

Fig. 3

The association between DMDs and levels of anti-TPO

Fig. 4.

Fig. 4

The association between DMDs and levels of anti-TG

Logistic regression analysis to determine the variable associated with DMDs in MS patients with thyroiditis

We further test our results by a logistic regression test. We observed that FT4, TSH, anti-TPO, anti-TG, WBC count, platelet, neutrophil count, and hs-CRP were significantly associated with DMD (Table 3, P < 0.05).

Table 3.

Logistic regression analysis to determine the variable associated with DMDs in MS patients with thyroiditis

Model Unstandardized coefficients Standardized coefficients t Sig. 95.0% confidence interval for B
B Std. error Beta Lower bound Upper bound
1 (Constant) 0.456 0.085 5.368 ˂ 0.001* 0.287 0.625
FT3 − 0.056 0.033 0.066 − 1.707 0.091 − 0.121 0.009
FT4 0.180 0.032 0.211 5.613 ˂ 0.001* 0.116 0.243
TSH − 0.068 0.010 − 0.295 − 6.687 ˂ 0.001* − 0.088 − 0.048
Anti-TPO − 0.004 0.001 − 0.658 − 5.302 ˂ 0.001* − 0.005 − 0.002
Anti-TG − 0.037 0.014 − 0.093 − 2.540 ˂ 0.05* − 0.065 − 0.008
WBC count − 0.003 0.001 − 0.147 − 4.944 ˂ 0.001* − 0.004 − 0.002
Hemoglobin − 0.017 0.010 − 0.075 − 1.741 0.085 − 0.037 0.002
Platelet − 0.005 0.001 − 0.367 − 7.098 ˂ 0.001* − 0.006 − 0.003
Neutrophil count 0.023 0.006 0.143 3.663 ˂ 0.001* 0.011 0.036
hs-CRP 0.021 0.007 0.135 2.926 ˂ 0.05* 0.007 0.036

TSH thyroid-stimulating hormone, FT3 free triidothyronine, FT4 free thyroxine, anti-TG anti-thyroglobulin antibodies, anti-TPO anti-thyroid peroxidase antibodies, TRAb thyroid receptor antibody, WBC white blood cell, CRP C-reactive protein, DMDs disease-modifying drugs

*P < 0.05

Discussion

MS is the most prevalent chronic neuroinflammatory disease among young adults and carries the potential risk of permanent disability [8].

Gathering studies have reported the co-occurrence of autoimmune disease with MS, e.g., thyroiditis. As new therapies emerge, the risk of autoimmune diseases rises. We aimed in this study to assess the prevalence of thyroid dysfunction in MS and to investigate the possible causes of thyroiditis in MS in relation to DMDs.

The interesting result of our study was that the prevalence of thyroiditis was 40%, autoimmune 34%, and infective 6% among patients with RRMS in relapse. The current study revealed that cerebellar symptoms were significantly higher in patients with thyroiditis compared to patients without thyroiditis. Regarding inflammatory markers, WBC count, neutrophil count, and hs-CRP were significantly higher in the thyroiditis group as compared to MS without thyroiditis. Similar to our study, Barone et al. revealed that 12.3% of patients with MS had thyroid disease [9].

Against our findings, the results of Marrie et al. observed no difference between the prevalence of thyroid dysfunction and anti-thyroid antibodies in MS patients compared with a control population [10].

Numerous immunosuppressant therapies are used for MS treatment. Overall, these agents are safe, have favorable risk-benefit profiles, and can dramatically improve the quality of life for patients with a potentially disabling neurologic illness, but iatrogenic complications were observed. According to the current study, we observed a significantly higher prevalence of MS patients with thyroiditis treated with interferon-beta-1b. However, there was a significantly higher prevalence of MS patients without thyroiditis treated with interferon beta-1a. We further test our results by a logistic regression test. We observed that FT3, FT4, TSH, anti-TPO, and anti-TG were significantly associated with interferon beta-1b.

Severa et al. reported that IFN-β is a key molecule in multiple sclerosis, as it maintains the anti-inflammatory status of the immune system and is one of the most widely used treatments for MS. As IFN-β modulates the immune-regulatory system, it may precipitate autoimmune disorders. IFN-β therapy has been associated with a relatively high risk of developing thyroid disease, either organ dysfunction or autoimmunity [6].

The thyroid gland is a curiously infection-resistant organ because of its high vascularity, lymphatic drainage, tissue uptake of iodine or hydrogen peroxide, and encapsulated structure. Among the factors that may predispose to infective thyroiditis is an immunocompromised status [11]. In the present study, we observed that 4% of patients with MS had infectious thyroiditis.

The results presented herein are innovative; as this study performs an evaluation of the etiology of infectious thyroiditis in relation to DMDs, we found CMV infection was more common in patients treated by interferon beta-1b and candida infection was common in patients treated by fingolimod.

Jacobs et al. reported that the most common causative organisms of infective thyroiditis are Staphylococci and Streptococci species. Many other organisms such as Acinetobacter, Mycobacterium, Coccidioides, Pseudomonas, Eikenella, Clostridium, Nocardia, Pneumocystis carnie, Haemophilus, and Candida have been isolated, but mostly associated with immunosuppression [12].

Oka et al. detected infection with CMV associated with hyperthyroidism after transplantation due to a reversed imbalance in helper/suppressor T cell populations and B cell dysregulation [13]. Similar results observed by Maawali et al. regarding the cause of infective thyroiditis could be due to CMV [14].

Chun et al. suggested that fingolimod induced a dose-dependent reduction in the peripheral lymphocyte counts to 20–30% of the baseline value and it also increases the risk of infections [15].

Conclusion

Thyroiditis is commonly observed in patients with RRMS in relapse and there was higher prevalence of patients treated with interferon-beta-1b which is commonly associated with autoimmune thyroiditis and CMV infection; however, candida thyroid infection was common in MS patients treated by fingolimod.

Acknowledgments

Not applicable.

Abbreviations

MS

Multiple sclerosis

RRM

Relapsing-remitting multiple sclerosis

DMDs

Disease-modifying drugs

CIS

Clinically isolated syndrome

SP

Secondary chronic progressive

IFN b-1a

Interferon beta-1a

TD

Thyroid dysfunction

IRT

Immune reconstitution therapy

Anti-TG

Globulin antibodies

Anti-TPO

Anti-thyroid peroxidase antibodies

FPG

Fasting plasma glucose

CRP

Serum C-reactive protein

CMV

Cytomegaly virus

TSH

Thyroid-stimulating hormone

FT3

Free triiodothyronine

FT4

Free thyroxine

NAC

Non-albicans candida

Authors’ contributions

NMR, WMRA, and HMH collected the patients’ samples and clinical data. MGA prepared the sample for laboratory investigations. NMR wrote the paper. Statistical analysis, interpretation of data, and preparation the paper for submitting international was done by NMR. Critical revision of the manuscript was performed by all of the authors. All the authors have read and approved the manuscript.

Funding

No fund.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author (nrashad78@yahoo.com) upon reasonable request.

Ethics approval and consent to participate

A written informed consent was taken from all of the participants after explaining the details and benefits as well as risks to them. The ethical committee of Faculties of Medicine, Zagazig University, approved the current study. The reference number is not available yet as there is delay due to the COVID-19 pandemic, but the reference number will be ready as soon as possible.

Consent for publication

The authors declare that they received consents for publication from all the participants.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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Contributor Information

Nearmeen M. Rashad, Email: nrashad78@yahoo.com

Marwa G. Amer, Email: mawaamer1247@yahoo.com

Waleed M. Reda Ashour, Email: walidashour@gmail.com

Hassan M. Hassanin, Email: Drhassan_h99@yahoo.com

References

  • 1.Loma I, Heyman R. Multiple sclerosis: pathogenesis and treatment. Curr Neuropharmacol. 2011;9(3):409–416. doi: 10.2174/157015911796557911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ghasemi N, Razavi S, Nikzad E. Multiple sclerosis: pathogenesis, symptoms, diagnoses and cell-based therapy. Cell J. 2017;19(1):1–10. doi: 10.22074/cellj.2016.4867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Azizi G, Yazdani R, Rae W. Monogenic polyautoimmunity in primary immunodeficiency diseases. Autoimmun Rev. 2018;17:1028–1039. doi: 10.1016/j.autrev.2018.05.001. [DOI] [PubMed] [Google Scholar]
  • 4.Minagar A. Current and future therapies for multiple sclerosis. Scientifica (Cairo) 2013;2013:249101. doi: 10.1155/2013/249101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Golan M, Mausner-Fainberg K, Ibrahim B, et al. Fingolimod increases brain-derived neurotrophic factor level secretion from circulating T cells of patients with multiple sclerosis. CNS Drugs. 2019;33(12):1229–1237. doi: 10.1007/s40263-019-00675-7. [DOI] [PubMed] [Google Scholar]
  • 6.Severa M, Rizzo F, Giacomini E. IFN-β and multiple sclerosis: cross-talking of immune cells and integration of immunoregulatory networks. Cytokine Growth Factor Rev. 2015;26:229–239. doi: 10.1016/j.cytogfr.2014.11.005. [DOI] [PubMed] [Google Scholar]
  • 7.Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69(2):292–302. doi: 10.1002/ana.22366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Reich DS, Lucchinetti CF, Calabresi PA. Multiple sclerosis. N Engl J Med. 2018;378::169–80.
  • 9.Barone D, Khelemsky S, Hercules D, Barone K. Prevalence of thyroid disease in a multiple sclerosis clinic cohort. April 08, 2014; 82.
  • 10.Marrie RA, Yu BN, Leung S, Elliott L, Warren S, et al. The incidence and prevalence of thyroid disease do not differ in the multiple sclerosis and general populations. Neuroepidemiology. 2012;39:135–142. doi: 10.1159/000339757. [DOI] [PubMed] [Google Scholar]
  • 11.Wong CH, Watson DA, Wilson JD, Chen GY, Chong GC. Acute thyroiditis caused by Streptococcus agalactiae. Intern Med J. 2002;32:195–196. doi: 10.1046/j.1444-0903.2001.00185.x. [DOI] [PubMed] [Google Scholar]
  • 12.Jacobs A, Gros DC, Gradon JD. Thyroid abscess due to Acinetobacter calcoaceticus: case report and review of the causes of and current management strategies of thyroid abscesses. South Med J. 2003;96:300–307. doi: 10.1097/01.SMJ.0000051200.55168.1C. [DOI] [PubMed] [Google Scholar]
  • 13.Oka S, Ono K, Nohgawa M. Cytomegalovirus reactivation triggers the late onset of hyperthyroidism after autologous peripheral blood transplantation. Leukemia Research Reports. 2019;11:5–7. doi: 10.1016/j.lrr.2018.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Al Maawali A, Al Yaarubi S, Al FA. An infant with cytomegalovirus-induced subacute thyroiditis. J Pediatr Endocrinol Metab. 2008;21:191–193. doi: 10.1515/JPEM.2008.21.2.191. [DOI] [PubMed] [Google Scholar]
  • 15.Chun J, Hartung HP. Mechanism of action of oral fingolimod (FTY720) in multiple sclerosis. Clin Neuropharmacol. 2010;33:91–101. doi: 10.1097/WNF.0b013e3181cbf825. [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.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author (nrashad78@yahoo.com) upon reasonable request.


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