Next Article in Journal
Autophagy, Cellular Senescence and Oxidative Stress in Ageing and Age-Related Diseases
Next Article in Special Issue
Immunotherapy-Mediated Modulation of the Gut Microbiota in Multiple Sclerosis: The Effects of High-Efficacy (Cladribine) and Moderate-Efficacy (Interferon Beta-1a) Treatments
Previous Article in Journal
Can Phagocytosis, Neutrophil Extracellular Traps, and IFN-α Production in Systemic Lupus Erythematosus Be Simultaneously Modulated? A Pharmacological Perspective
Previous Article in Special Issue
Digit Span Tests Are More Sensitive than SDMT for Detecting Working Memory Impairment and Correlate with Metabolic Alterations in White Matter and Deep Gray Matter Nuclei in Multiple Sclerosis: A GABA-Edited Magnetic Resonance Spectroscopy Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Changes in Blood Cells and Complements During Relapse Prevention Therapies for Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder

1
Department of Multiple Sclerosis Therapeutics, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan
2
Multiple Sclerosis and Neuromyelitis Optica Center, Southern TOHOKU Research Institute for Neuroscience, Koriyama 963-8563, Japan
3
Department of Neurology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan
4
Department of Neurology, National Hospital Organization Yonezawa National Hospital, Yonezawa 992-1202, Japan
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2026, 27(2), 951; https://doi.org/10.3390/ijms27020951
Submission received: 14 December 2025 / Revised: 11 January 2026 / Accepted: 15 January 2026 / Published: 18 January 2026

Abstract

In this study, blood cell counts and serum C3, C4, and CH50 values at baseline and after more than 6-month drug use were measured to elucidate changes in blood cells and complements during relapse prevention therapies for aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4+ NMOSD). A total of 70 patients with AQP4+ NMOSD (87% female, median age 56 years) were enrolled. They were divided into the following treatment groups: glucocorticoids and/or immunosuppressants (GC/IS, n = 22), inebilizumab/rituximab (anti-CD19/20, n = 13), satralizumab (anti-IL-6R, n = 22), and eculizumab/ravulizumab (anti-C5, n = 13). At baseline, the blood counts and complement levels did not differ among the groups. At follow-up, the neutrophil and platelet counts in the anti-IL-6R group decreased from those at baseline (p < 0.0001 and p < 0.001, respectively). Compared with the GC/IS, anti-CD19/20, and anti-C5 groups, the anti-IL-6R group had lower levels of C3 (p < 0.0001, p < 0.01, and p < 0.05, respectively) and C4 (p < 0.0001, p < 0.01, p < 0.001, respectively). Furthermore, the anti-C5 group had significantly lower CH50 levels than the GC/IS, anti-CD19/20, and anti-IL-6R groups (p < 0.0001, p < 0.0001, p < 0.05, respectively). In addition, the anti-IL-6R group had lower CH50 levels than the GC/IS and anti-CD19/20 groups (p < 0.001 and p < 0.05, respectively). The present study demonstrated that anti-IL-6R therapy broadly and mildly suppressed the complement system and decreased the neutrophil and platelet counts. It also showed that anti-C5 therapy strongly suppressed total complement activity but did not affect the C3 and C4 levels or blood counts. These findings may have implications for the mode of action of the drugs and the risk of adverse drug reactions, including infections.

1. Introduction

Aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4+ NMOSD) is an inflammatory disease of the central nervous system. It is characterized by severe optic neuritis, longitudinally extensive transverse myelitis, and brain syndromes, such as area postrema and diencephalic syndromes [1]. The main histopathological finding of AQP4+ NMOSD is massive astrocytic destruction caused by the pathogenic AQP4 antibody, along with an activated complement (complement-mediated cytotoxicity) [2,3,4,5,6]. This antibody is produced by CD19-positive B-cell lineage cells, including plasmablasts, which require interleukin-6 (IL-6) signaling to be differentiated and activated [7,8,9,10]. In fact, C5a, IL-6, and plasmablasts are elevated during relapse of AQP4+ NMOSD [7,11,12,13]. In addition, neutrophil plays a major role in the pathogenesis of AQP4+ NMOSD [14,15,16,17].
Glucocorticoids (GCs) and immunosuppressants (ISs) had demonstrated moderate effectiveness in suppressing AQP4+ NMOSD relapse [18,19]. However, biological drugs targeting complement C5, IL-6R, and CD19/20 have recently shown higher efficacy in preventing relapse of the disease, as indicated by international randomized controlled trials, open-label extension studies, and real-world data [20,21,22,23,24,25,26]. To date, the interactions between a specific molecular targeted therapy and other pathological pathways remain unknown. As regards complement pathway, anti-complement therapy strongly suppresses total complement activity like CH50 [27,28], but the effects of other biotherapies on complements remain to be elucidated. As host defense associated with infection risk, the complement system plays a pivotal role in innate immunity together with phagocytic cells, including neutrophil and macrophage.
In this context, it is crucial to evaluate blood cells and complements during immunotherapies to monitor drug effects and infection risk. The present study aimed to elucidate changes in blood cells and complements during relapse prevention therapies for AQP4+ NMOSD.

2. Results

2.1. Demographics of the Study Participants

This study enrolled 70 patients with AQP4+ NMOSD [median age, 56 (range 20–80) years, 87% female]. Table 1 presents the characteristics of the patients. The patients were divided into the following treatment groups: GC/IS (n = 22: GC/IS combined therapy 13, GC monotherapy 5, IS monotherapy 4), anti-CD19/20 (n = 13), anti-IL-6R (n = 22), and anti-C5 (n = 13). The ages at follow-up blood collection [years, median (range)] were 54.5 (26–80), 60 (20–74), 57 (35–69), and 52 (20–73) years in the GC/IS, anti-CD19/CD20, anti-IL-6R, and anti-C5 groups, respectively. The disease durations [years, median (range)] were 5.5 (0.6–32.8), 5.4 (0.5–32.8), 8.8 (0.4–22.7), and 5.3 (0.7–21.6), respectively. The median values of Expanded Disability Status Scale scores at baseline were 3.0 in the four groups, and the ranges are shown in Table 1.
The intervals between the first injection of biologics and follow-up blood collection [months, median (range)] were 7 (6–48) in the anti-CD19/CD20 group, 7.5 (6–46) in the anti-IL-6R, and 8 (6–55) in the anti-C5. The intervals did not differ among biologics. The doses of oral prednisolone (PSL) [mg/day, median (range)] at baseline were 10 (0–20) in the GC/IS group, 10 (0–20) in anti-CD19/CD20, 10 (0–40) in anti-IL-6R, and 10 (0–60) in anti-C5. At follow-up, the values were 2.5 (0–12) in the GC/IS group, 5 (0–15) in anti-CD19/CD20, 4 (0–15) in anti-IL-6R, and 5 (0–8) in anti-C5, respectively. The doses of PSL did not differ among the groups at baseline and follow-up. No relapses occurred between the initial dose of biologics and the follow-up blood collection. No adverse events related to neutropenia or thrombocytopenia including febrile neutropenia or bleeding complications were observed. With regards to serious adverse events, one patient who was administered rituximab developed bacterial pneumonia and required hospitalization, resulting in rituximab treatment discontinuation.

2.2. Decrease in Neutrophil and Platelet Counts During Anti-IL-6R Therapy and Increase in Erythrocyte Counts During Anti-CD19/20 Therapy

Table 2 presents the blood cell counts of the patients. At baseline, the blood cell counts did not differ among the groups. However, the anti-IL-6R group showed significantly lower neutrophil counts at follow-up [median 2810/mm3 (range 360–9690)] than at baseline [5890 (1700–19,130)] (p < 0.0001). Furthermore, the erythrocyte counts in the anti-CD19/20 group at follow-up [median 457 × 104/mm3 (range 395–506)] were higher than those at baseline [413 (370–476)] (p < 0.001). Moreover, the platelet counts in the anti-IL-6R group were lower at follow-up [median 20.7 × 104/mm3 (range 10.2–33.6)] than at baseline [26.9 (15.6–38.7)] (p < 0.001). Figure 1 and Figure 2 (neutrocyte and platelet, respectively) depict the comparisons between groups and the transitions from baseline to follow-up.

2.3. Decrease in CH50 During Anti-C5 and Anti-IL-6R Therapy and in C3 and C4 During Anti-IL-6R Therapy

Table 3 presents the C3, C4, and CH50 values of the patients. Whereas the C3 levels did not differ among the groups (Figure 3A) at baseline, the C3 levels in the antiIL-6R group [median 78.5 mg/dL (range 60–118)] at follow-up were significantly lower than those in the GC/IS [110 (74–146)], anti-CD19/20 [108 (85–160)], and anti-C5 [103 (76–130)] groups (p < 0.0001, p < 0.01, and p < 0.05, respectively) (Figure 3B). The C3 levels in the GC/IS, anti-CD19/20, anti-C5 groups did not differ between baseline and follow-up (Figure 3C,D,F). The C3 levels in the anti-IL-6R group significantly decreased at follow-up (p < 0.0001) (Figure 3E). At baseline, the C4 levels did not differ among the groups (Figure 4A); however, these levels were significantly lower in the anti-IL-6R group [median 11 mg/dL (range 7–17)] than in the GC/IS [22 (13.4–39.7)], anti-CD19/20 [19.7 (9.1–33.6)], and anti-C5 [20.4 (9.9–30.4)] groups at follow-up (p < 0.0001, p < 0.01, and p < 0.001, respectively) (Figure 4B). The C4 levels in the GC/IS, anti-CD19/20, and anti-C5 groups did not differ between baseline and follow-up (Figure 4C,D,F). The C4 levels in the anti-IL-6R group significantly decreased at follow-up (p < 0.001) (Figure 4E).
Although the CH50 values at baseline did not differ among the groups (Figure 5A), the CH50 values at follow-up were significantly lower in the anti-C5 group [median 10 U/mL (range 10–17)] than in the GC/IS [57.4 (41–82.1)], anti-CD19/20 [50.8 (36.8–87.6)], and anti-IL-6R [41.1 (30.1–54.4)] groups (p < 0.0001, p < 0.0001, and p < 0.05, respectively). Furthermore, the CH50 values were lower in the anti-IL-6R group than in the GC/IS and anti-CD19/20 groups (p < 0.001 and p < 0.05, respectively) (Figure 5B). The CH50 values in the GC/IS and anti-CD19/20 groups did not differ between baseline and follow-up (Figure 5C,D). The CH50 values in the anti-IL-6R and anti-C5 group significantly decreased at follow-up (p < 0.001 and p < 0.001, respectively) (Figure 5E,F).

3. Discussion

The present study demonstrated that the anti-IL-6R therapy for AQP4+ NMOSD broadly and mildly suppressed the complement system and decreased neutrophil and platelet counts, whereas the anti-C5 therapy strongly suppressed total complement activity but did not affect the C3 and C4 levels or blood cell counts.
IL-6 is a proinflammatory cytokine that exerts pleiotropic effects on various cells, including thrombopoiesis through stimulation on megakaryocytes and hepatocytes [29,30] and the production of complement proteins from hepatocytes [31], whereas effects on neutrophil is controversial [32]. The activation of IL-6 signal plays a major role in the pathogenesis of AQP4+ NMOSD as well as rheumatoid arthritis (RA) [7,10,33]. Clinical studies of RA have reported that tocilizumab, another anti-IL-6R monoclonal, reduced the C3, C4, and CH50 values [34,35]. The present study confirmed that IL-6 signal blockage reduces C3, C4, and CH50 values. Additionally, it has been reported that the classical pathway is activated through the binding of C-reactive protein to C1q [36]. Considering that CRP production is strongly suppressed under satralizumab treatment, the suppression of this antibody-independent activation of classical pathway might be another possible mechanism of CH50 reduction. With regards to the association between blood cell counts and IL-6 signal, increases in the neutrocyte–lymphocyte ratio (NLR) and platelet–lymphocyte ratios (PLRs) were reported in patients with active RA [37]. However, the ratios decreased after treatment with anti-rheumatic disease-modifying drugs [38,39]. Higher neutrophil counts and NLR were reported in patients with AQP4+ NMOSD than in healthy controls (HCs) or those with multiple sclerosis (MS) [40,41]. In addition, the neutrophils from patients with AQP4+ NMOSD showed an activated phenotype (an increased surface expression of Toll-like receptor 2 and formyl peptide receptor 1) compared with HCs, a compromised functionality (reduced adhesion and migratory capacity as well as decreased reduced production of reactive oxygen species and degranulation) compared with patients with MS [42], and an increased survival capacity in response to phorbol 12-myristate 13-acetate compared with HCs [43]. A decrease in neutrophil counts was also reported in patients with tocilizumab-treated AQP4+ NMOSD, and the study showed the upregulation of neutrophil activation-related genes at baseline and the downregulation of the genes after tocilizumab treatment [44]. Therefore, the anti-IL-6R therapy suppressed neutrophils both in quantitative and qualitative aspects. Regarding satralizumab, the decreases in neutrophils, platelets, and complements have been mentioned briefly in the prescribing information, the clinical trials, and the post-marketing surveillance as adverse reactions [20,23,24,25,45,46]. The present study confirmed these phenomena as real-world data of satralizumab therapy. Although the suppression of the complement pathway and neutrophils is suitable for relapse prevention of AQP4+ NMOSD, there is a high risk of infection in such conditions. Thus, close monitoring of complement activity and neutrophil counts is crucial in patients with AQP4+ NMOSD. The infection rates with long-term satralizumab treatment in the open-label study, SAkuraMoon, and in a post-marketing setting did not increase over time, and concomitant IS use, comorbidities, Expanded Disability Status Scale score ≥ 4.0, and age > 65 years were potential confounders of sepsis [47]. Moreover, a decrease in platelet counts may lead to a bleeding tendency if it progresses to thrombocytopenia, although such a severe condition has not been reported in tocilizumab-treated RA patients [48]. This study demonstrated that decreases in neutrophil and platelet counts as well as C3 and C4 levels were specifically observed in patients treated with satralizumab, regardless of concomitant GC/IS use. If the phenomenon is specific for satralizumab, longitudinal measurements of these parameters will be useful for monitoring drug efficacy and safety.
The present study demonstrated that anti-C5 therapy strongly suppressed total complement activity but did not influence the C3 and C4 levels or blood cell counts. These results indicate that host defense functions such as opsonization and phagocytosis are intact under the treatment. This study also showed that GC/IS and B-cell-depleting therapies exert no effect on complement activity or total blood cell counts, except for increases in erythrocyte counts following B-cell–depleting therapy. The B-cell-depleting therapy is reportedly effective for immune-mediated anemia, such as immune-mediated pure red cell aplasia or lupus-related anemia [49,50]. However, the baseline erythrocyte counts in the anti-CD19/20 group were within normal range, and no hemolytic signs were found in the patients. Therefore, further investigations on erythrocyte counts in patients with AQP4+ NMOSD receiving B-cell-depleting therapies are warranted. Although this study showed that GC/IS therapy exerts no effect on blood cell counts, the pooled data from GC and IS might have masked the contradictory effects on blood cell counts of the drugs. In particular, GCs are known to induce neutrophilia and can increase platelet counts, whereas many immunosuppressants carry a known risk of myelosuppression, including neutropenia and thrombocytopenia.
Our study has limitations. First, this was a small-scale study with short-term follow-up. This highlights the need to confirm our findings in larger-scale studies with longer follow-up periods. Second, quantitative data, such as C3, C4, and blood counts, were mainly analyzed; however, the functions of blood cells and complement should be analyzed further in future studies, and such data would be useful to further elucidate immunological changes induced by relapse prevention therapies for AQP4+ NMOSD.

4. Patients and Methods

4.1. Selection of Patients

This study was a multicenter observational study. The clinical records and laboratory data of patients with AQP4+ NMOSD were retrospectively reviewed. The patients were categorized into four treatment groups: GC/IS, anti-CD19/20, anti-IL-6R, and anti-C5. Patients who received continuous drug administration for more than 6 months, with blood tests and serum complement measurement, were eligible for this study, as it takes time for each treatment to exert sufficient biological effects. In patients with multiple blood sampling after 6-month drug use, we adopted the first blood sampling as follow-up data.

4.2. Standard Protocol Approval, Registration, and Patient Consent

This study was approved by the Ethics Committee of Southern TOHOKU Research Institute for Neuroscience and the Ethics Committee of Tohoku University School of Medicine. Written informed consent was obtained from the patients or informed consent was obtained in the form of opt-out on the institute’s website.

4.3. Analyses of Blood Cell Counts and Serum Complement Parameters

Data of peripheral blood cell counts (neutrocyte, lymphocyte, erythrocyte, and platelet) and serum C3, C4, and CH50 levels were collected. Data from blood drawing conducted within 2 weeks after plasma exchange or under infectious conditions were excluded. The methods and reference values for individual serum complement parameters were as follows: C3 [turbidimetric immunoassay, 86.0–160.0 mg/dL], C4 [turbidimetric immunoassay, 15.0–45.0 mg/dL], and CH50 [liposome-based immunoassay, 31.0–48.0 U/mL]. The values in the treatment groups were compared at baseline and after more than 6 months of drug use.

4.4. Statistical Analysis

Statistical analyses were conducted using PRISM 7.04 (GraphPad Software, Boston, MA, USA). The Kruskal–Wallis test was employed to compare values between the groups. If a difference was significant based on the test, multiple-comparison post hoc analyses were conducted using Dunn’s test. The Wilcoxon signed-rank test was employed to compare values at baseline and at follow-up. An adjusted p < 0.05 was considered to indicate statistical significance.

5. Conclusions

This study demonstrated that the anti-IL-6R therapy broadly and mildly suppressed the complement system and decreased neutrophil and platelet counts. Meanwhile, the anti-C5 therapy strongly suppressed total complement activity but did not influence the C3 and C4 levels or blood cell counts. These results may have implications for the mode of action of the drugs and the risk of infections.

Author Contributions

Study design and conceptualization: H.K. and K.F. Clinical analysis: H.K., K.F., K.K., Y.T., S.N. and T.M. Drafting or revising the manuscript: H.K., K.F., K.K., Y.M., M.O., N.Y. (Naoya Yamazaki), S.U., N.Y. (Naoki Yamamoto), N.S., C.N., H.O., S.N., T.T., T.M. and M.A. Supervising the entire study: K.F. and M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by JSPS KAKENHI Grant Numbers 19K07953 and 17H04192.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki. This study was approved by the Ethics Committee of Southern TOHOKU Research Institute for Neuroscience and the Ethics Committee of Tohoku University Graduate School of Medicine (No. 2022-1-1103 for study involving humans; approval date: 18 December 2024).

Informed Consent Statement

Informed consent was obtained from all subjects involved in this study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author because the data are not publicly available due to privacy.

Acknowledgments

The authors thank Mayu Atsumi, Wakana Matsuyama, and Yukari Watanabe for their technical assistance.

Conflicts of Interest

H. Kuroda received speaker honoraria from Alexion, Chugai/Roche, Mitsubishi-Tanabe, and Novartis. K. Fujihara received fees for consulting, speaking, and serving on steering committees of Alexion, Chugai, Roche, Mitsubishi-Tanabe, Amgen, Asahi Kasei Medical, Biogen, Eisai, Novartis, Takeda, Teijin, and UCB and a Grant-in-Aid for Scientific Research from the Ministry of Health, Welfare, and Labor of Japan. K. Kaneko received speaker honoraria from Novartis and Biogen Japan. Y. Takai received speaker honoraria from Alexion, Biogen, Novartis, Mitsubishi-Tanabe, Chugai, and Takeda. Y. Matsumoto received speaker honoraria from Novartis. N. Sakamoto has nothing to disclose. M. Otomo has nothing to disclose. N. Yamazaki has nothing to disclose. S. Umezawa has nothing to disclose. N. Yamamoto has nothing to disclose. N. Sakamoto has nothing to disclose. C. Namatame has nothing to disclose. H. Ono has nothing to disclose. S. Nishiyama received speaker honoraria from Alexion and Novartis. T. Takahashi received research support from Cosmic Corporation. T. Misu received speaker honoraria from Tanabe Mitsubishi, Novartis, Alexion, Viela Bio, Teijin, Chugai, Sanofi, GE Health Care Japan, CSL Behring, and Biogen Japan; research support from Cosmic Corporation and Medical Biological Laboratories; and a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan. M. Aoki received research support from Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan and the Ministry of Health, Labor and Welfare of Japan.

References

  1. Wingerchuk, D.M.; Lucchinetti, C.F. Neuromyelitis Optica Spectrum Disorder. N. Engl. J. Med. 2022, 387, 631–639. [Google Scholar] [CrossRef] [PubMed]
  2. Misu, T.; Fujihara, K.; Kakita, A.; Konno, H.; Nakamura, M.; Watanabe, S.; Takahashi, T.; Nakashima, I.; Takahashi, H.; Itoyama, Y. Loss of aquaporin 4 in lesions of neuromyelitis optica: Distinction from multiple sclerosis. Brain 2007, 130, 1224–1234. [Google Scholar] [CrossRef] [PubMed]
  3. Hinson, S.R.; Pittock, S.J.; Lucchinetti, C.F.; Roemer, S.F.; Fryer, J.P.; Kryzer, T.J.; Lennon, V.A. Pathogenic potential of IgG binding to water channel extracellular domain in neuromyelitis optica. Neurology 2007, 69, 2221–2231. [Google Scholar] [CrossRef] [PubMed]
  4. Kinoshita, M.; Nakatsuji, Y.; Kimura, T.; Moriya, M.; Takata, K.; Okuno, T.; Kumanogoh, A.; Kajiyama, K.; Yoshikawa, H.; Sakoda, S. Anti-aquaporin-4 antibody induces astrocytic cytotoxicity in the absence of CNS antigen-specific T cells. Biochem. Biophys. Res. Commun. 2010, 394, 205–210. [Google Scholar] [CrossRef]
  5. Verkman, A.S.; Phuan, P.W.; Asavapanumas, N.; Tradtrantip, L. Biology of AQP4 and anti-AQP4 antibody: Therapeutic implications for NMO. Brain Pathol. 2013, 23, 684–695. [Google Scholar] [CrossRef]
  6. Papadopoulos, M.C.; Bennett, J.L.; Verkman, A.S. Treatment of neuromyelitis optica: State-of-the-art and emerging therapies. Nat. Rev. Neurol. 2014, 10, 493–506. [Google Scholar] [CrossRef]
  7. Chihara, N.; Aranami, T.; Sato, W.; Miyazaki, Y.; Miyake, S.; Okamoto, T.; Ogawa, M.; Toda, T.; Yamamura, T. Interleukin 6 signaling promotes anti-aquaporin 4 autoantibody production from plasmablasts in neuromyelitis optica. Proc. Natl. Acad. Sci. USA 2011, 108, 3701–3706. [Google Scholar] [CrossRef]
  8. Bennett, J.L.; O’Connor, K.C.; Bar-Or, A.; Zamvil, S.S.; Hemmer, B.; Tedder, T.F.; von Budingen, H.C.; Stuve, O.; Yeaman, M.R.; Smith, T.J.; et al. B lymphocytes in neuromyelitis optica. Neurol. Neuroimmunol. Neuroinflamm. 2015, 2, e104. [Google Scholar] [CrossRef]
  9. Wilson, R.; Makuch, M.; Kienzler, A.K.; Varley, J.; Taylor, J.; Woodhall, M.; Palace, J.; Leite, M.I.; Waters, P.; Irani, S.R. Condition-dependent generation of aquaporin-4 antibodies from circulating B cells in neuromyelitis optica. Brain 2018, 141, 1063–1074. [Google Scholar] [CrossRef]
  10. Li, X.; Zhao, C. Interleukin-6 in neuroimmunological disorders: Pathophysiology and therapeutic advances with satralizumab. Autoimmun. Rev. 2025, 24, 103826. [Google Scholar] [CrossRef]
  11. Kuroda, H.; Fujihara, K.; Takano, R.; Takai, Y.; Takahashi, T.; Misu, T.; Nakashima, I.; Sato, S.; Itoyama, Y.; Aoki, M. Increase of complement fragment C5a in cerebrospinal fluid during exacerbation of neuromyelitis optica. J. Neuroimmunol. 2013, 254, 178–182. [Google Scholar] [CrossRef]
  12. Uzawa, A.; Mori, M.; Sawai, S.; Masuda, S.; Muto, M.; Uchida, T.; Ito, S.; Nomura, F.; Kuwabara, S. Cerebrospinal fluid interleukin-6 and glial fibrillary acidic protein levels are increased during initial neuromyelitis optica attacks. Clin. Chim. Acta 2013, 421, 181–183. [Google Scholar] [CrossRef]
  13. Kaneko, K.; Sato, D.K.; Nakashima, I.; Ogawa, R.; Akaishi, T.; Takai, Y.; Nishiyama, S.; Takahashi, T.; Misu, T.; Kuroda, H.; et al. CSF cytokine profile in MOG-IgG+ neurological disease is similar to AQP4-IgG+ NMOSD but distinct from MS: A cross-sectional study and potential therapeutic implications. J. Neurol. Neurosurg. Psychiatry 2018, 89, 927–936, Correction in J. Neurol. Neurosurg. Psychiatry 2019, 90, e4. [Google Scholar] [CrossRef] [PubMed]
  14. Piatek, P.; Domowicz, M.; Lewkowicz, N.; Przygodzka, P.; Matysiak, M.; Dzitko, K.; Lewkowicz, P. C5a-Preactivated Neutrophils Are Critical for Autoimmune-Induced Astrocyte Dysregulation in Neuromyelitis Optica Spectrum Disorder. Front. Immunol. 2018, 9, 1694. [Google Scholar] [CrossRef] [PubMed]
  15. Lucchinetti, C.F.; Mandler, R.N.; McGavern, D.; Bruck, W.; Gleich, G.; Ransohoff, R.M.; Trebst, C.; Weinshenker, B.; Wingerchuk, D.; Parisi, J.E.; et al. A role for humoral mechanisms in the pathogenesis of Devic’s neuromyelitis optica. Brain 2002, 125, 1450–1461. [Google Scholar] [CrossRef] [PubMed]
  16. Nakajima, A.; Yanagimura, F.; Saji, E.; Shimizu, H.; Toyoshima, Y.; Yanagawa, K.; Arakawa, M.; Hokari, M.; Yokoseki, A.; Wakasugi, T.; et al. Stage-dependent immunity orchestrates AQP4 antibody-guided NMOSD pathology: A role for netting neutrophils with resident memory T cells in situ. Acta Neuropathol. 2024, 147, 76. [Google Scholar] [CrossRef]
  17. Furlan, R.; Schaedelin, S.; Frederiksen, J.L.; Watanabe, M.; Piehl, F.; Fink, K.; Iacobaeus, E.; Evertsson, B.; Khademi, M.; Gastaldi, M.; et al. Granulocyte and astrocyte markers distinguish MOG-antibody disease and neuromyelitis optica from multiple sclerosis. Brain 2025, 2025, awaf345. [Google Scholar] [CrossRef]
  18. Xu, Y.; Wang, Q.; Ren, H.T.; Qiao, L.; Zhang, Y.; Fei, Y.Y.; Zhao, Y.; Cui, L.Y. Comparison of efficacy and tolerability of azathioprine, mycophenolate mofetil, and cyclophosphamide among patients with neuromyelitis optica spectrum disorder: A prospective cohort study. J. Neurol. Sci. 2016, 370, 224–228. [Google Scholar] [CrossRef]
  19. Kleiter, I.; Gold, R. Present and Future Therapies in Neuromyelitis Optica Spectrum Disorders. Neurotherapeutics 2016, 13, 70–83. [Google Scholar] [CrossRef]
  20. Yamamura, T.; Kleiter, I.; Fujihara, K.; Palace, J.; Greenberg, B.; Zakrzewska-Pniewska, B.; Patti, F.; Tsai, C.P.; Saiz, A.; Yamazaki, H.; et al. Trial of Satralizumab in Neuromyelitis Optica Spectrum Disorder. N. Engl. J. Med. 2019, 381, 2114–2124. [Google Scholar] [CrossRef]
  21. Pittock, S.J.; Barnett, M.; Bennett, J.L.; Berthele, A.; de Seze, J.; Levy, M.; Nakashima, I.; Oreja-Guevara, C.; Palace, J.; Paul, F.; et al. Ravulizumab in Aquaporin-4-Positive Neuromyelitis Optica Spectrum Disorder. Ann. Neurol. 2023, 93, 1053–1068. [Google Scholar] [CrossRef]
  22. Cree, B.A.C.; Kim, H.J.; Weinshenker, B.G.; Pittock, S.J.; Wingerchuk, D.M.; Fujihara, K.; Paul, F.; Cutter, G.R.; Marignier, R.; Green, A.J.; et al. Safety and efficacy of inebilizumab for the treatment of neuromyelitis optica spectrum disorder: End-of-study results from the open-label period of the N-MOmentum trial. Lancet Neurol. 2024, 23, 588–602. [Google Scholar] [CrossRef] [PubMed]
  23. Nakashima, I.; Nakahara, J.; Yasunaga, H.; Yamashita, M.; Nishijima, N.; Satomura, A.; Nio, M.; Fujihara, K. Real-world management of patients with neuromyelitis optica spectrum disorder using satralizumab: Results from a Japanese claims database. Mult. Scler. Relat. Disord. 2024, 84, 105502. [Google Scholar] [CrossRef] [PubMed]
  24. Bennett, J.L.; Fujihara, K.; Saiz, A.; Traboulsee, A.L.; Greenberg, B.M.; Weinshenker, B.G.; Patti, F.; Kleiter, I.; Palace, J.; De Seze, J.; et al. Long-Term Efficacy and Safety of Satralizumab in Patients with Neuromyelitis Optica Spectrum Disorder from the SAkuraMoon Open-Label Extension Study. Neurol. Neuroimmunol. Neuroinflamm. 2025, 12, e200450. [Google Scholar] [CrossRef] [PubMed]
  25. Yamamura, T.; Isobe, N.; Kawachi, I.; Nohara, C.; Miyazaki, Y.; Tomita, M.; Kamei, Y.; Yamashita, K.; Nakahara, J.; Nakashima, I.; et al. Safety and Effectiveness of Satralizumab in Japanese Patients with Neuromyelitis Optica Spectrum Disorder: A 30-Month Interim Analysis of Post-marketing Surveillance. Neurol. Ther. 2025, 14, 2429–2451. [Google Scholar] [CrossRef]
  26. Pittock, S.J.; Zekeridou, A.; Weinshenker, B.G. Hope for patients with neuromyelitis optica spectrum disorders-from mechanisms to trials. Nat. Rev. Neurol. 2021, 17, 759–773. [Google Scholar] [CrossRef]
  27. Willrich, M.A.V.; Andreguetto, B.D.; Sridharan, M.; Fervenza, F.C.; Tostrud, L.J.; Ladwig, P.M.; Rivard, A.M.; Hetrick, M.D.; Olson, R.N.; Bryant, S.C.; et al. The impact of eculizumab on routine complement assays. J. Immunol. Methods 2018, 460, 63–71. [Google Scholar] [CrossRef]
  28. Ortiz, S.; Pittock, S.J.; Berthele, A.; Levy, M.; Nakashima, I.; Oreja-Guevara, C.; Allen, K.; Mashhoon, Y.; Parks, B.; Kim, H.J. Immediate and sustained terminal complement inhibition with ravulizumab in patients with anti-aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder. Front. Neurol. 2024, 15, 1332890. [Google Scholar] [CrossRef]
  29. Kaser, A.; Brandacher, G.; Steurer, W.; Kaser, S.; Offner, F.A.; Zoller, H.; Theurl, I.; Widder, W.; Molnar, C.; Ludwiczek, O.; et al. Interleukin-6 stimulates thrombopoiesis through thrombopoietin: Role in inflammatory thrombocytosis. Blood 2001, 98, 2720–2725. [Google Scholar] [CrossRef]
  30. Geddis, A.E. Megakaryopoiesis. Semin. Hematol. 2010, 47, 212–219. [Google Scholar] [CrossRef]
  31. Ramadori, G.; Van Damme, J.; Rieder, H.; Meyer zum Buschenfelde, K.H. Interleukin 6, the third mediator of acute-phase reaction, modulates hepatic protein synthesis in human and mouse. Comparison with interleukin 1 beta and tumor necrosis factor-alpha. Eur. J. Immunol. 1988, 18, 1259–1264. [Google Scholar] [CrossRef] [PubMed]
  32. Wright, H.L.; Cross, A.L.; Edwards, S.W.; Moots, R.J. Effects of IL-6 and IL-6 blockade on neutrophil function in vitro and in vivo. Rheumatology 2014, 53, 1321–1331. [Google Scholar] [CrossRef] [PubMed]
  33. Smolen, J.S.; Aletaha, D.; Redlich, K. The pathogenesis of rheumatoid arthritis: New insights from old clinical data? Nat. Rev. Rheumatol. 2012, 8, 235–243. [Google Scholar] [CrossRef] [PubMed]
  34. Romano, C.; Del Mastro, A.; Sellitto, A.; Solaro, E.; Esposito, S.; Cuomo, G. Tocilizumab reduces complement C3 and C4 serum levels in rheumatoid arthritis patients. Clin. Rheumatol. 2018, 37, 1695–1700. [Google Scholar] [CrossRef]
  35. Ferraz-Amaro, I.; Santos-Concepcion, S.; Castro-Hernandez, J.; Hernandez-Hernandez, M.V.; Tejera Segura, B.; Luna, C.; Delgado-Frias, E.; Diaz-Gonzalez, F. Tocilizumab modulates the activity of the classical and alternative complement pathways in rheumatoid arthritis patients. Front. Immunol. 2025, 16, 1486588. [Google Scholar] [CrossRef]
  36. Jiang, H.X.; Siegel, J.N.; Gewurz, H. Binding and complement activation by C-reactive protein via the collagen-like region of C1q and inhibition of these reactions by monoclonal antibodies to C-reactive protein and C1q. J. Immunol. 1991, 146, 2324–2330. [Google Scholar] [CrossRef]
  37. Uslu, A.U.; Kucuk, A.; Sahin, A.; Ugan, Y.; Yilmaz, R.; Gungor, T.; Bagcaci, S.; Kucuksen, S. Two new inflammatory markers associated with Disease Activity Score-28 in patients with rheumatoid arthritis: Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio. Int. J. Rheum. Dis. 2015, 18, 731–735. [Google Scholar] [CrossRef]
  38. Sargin, G.; Senturk, T.; Yavasoglu, I.; Kose, R. Relationship between neutrophil-lymphocyte, platelet-lymphocyte ratio and disease activity in rheumatoid arthritis treated with rituximab. Int. J. Rheum. Dis. 2018, 21, 2122–2127. [Google Scholar] [CrossRef]
  39. Meng, Y.; Cai, X.L.; Cong, S.; Sun, J.; Hu, Y.W.; Gu, Y.Q.; Ma, X.M.; Luo, L. Role of Platelet/Lymphocyte, Neutrophil/Lymphocyte, and Interleukin-37/Interleukin-17 Ratios in the Occurrence and Treatment of Rheumatoid Arthritis. Immunol. Investig. 2024, 53, 464–474. [Google Scholar] [CrossRef]
  40. Akaishi, T.; Misu, T.; Fujihara, K.; Nakaya, K.; Nakaya, N.; Nakamura, T.; Kogure, M.; Hatanaka, R.; Itabashi, F.; Kanno, I.; et al. White blood cell count profiles in anti-aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorder and anti-myelin oligodendrocyte glycoprotein antibody-associated disease. Sci. Rep. 2023, 13, 6481. [Google Scholar] [CrossRef]
  41. Sun, Q.; Ma, X.; Zhang, L.; Tian, D. The neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in patients with neuromyelitis optica spectrum disorders and multiple sclerosis. Front. Neurol. 2025, 16, 1598885. [Google Scholar] [CrossRef] [PubMed]
  42. Hertwig, L.; Pache, F.; Romero-Suarez, S.; Sturner, K.H.; Borisow, N.; Behrens, J.; Bellmann-Strobl, J.; Seeger, B.; Asselborn, N.; Ruprecht, K.; et al. Distinct functionality of neutrophils in multiple sclerosis and neuromyelitis optica. Mult. Scler. 2016, 22, 160–173. [Google Scholar] [CrossRef] [PubMed]
  43. Schroeder-Castagno, M.; Del Rio-Serrato, A.; Wilhelm, A.; Romero-Suarez, S.; Schindler, P.; Alvarez-Gonzalez, C.; Duchow, A.S.; Bellmann-Strobl, J.; Ruprecht, K.; Hastermann, M.; et al. Impaired response of blood neutrophils to cell-death stimulus differentiates AQP4-IgG-seropositive NMOSD from MOGAD. J. Neuroinflamm. 2022, 19, 239. [Google Scholar] [CrossRef] [PubMed]
  44. Matsuoka, T.; Araki, M.; Lin, Y.; Okamoto, T.; Gold, R.; Chihara, N.; Sato, W.; Kimura, A.; Tachimori, H.; Miyamoto, K.; et al. Long-term Effects of IL-6 Receptor Blockade Therapy on Regulatory Lymphocytes and Neutrophils in Neuromyelitis Optica Spectrum Disorder. Neurol. Neuroimmunol. Neuroinflamm. 2024, 11, e200173. [Google Scholar] [CrossRef]
  45. Prescribing Information for Satralizumab. 2020. Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/761149s000lbl.pdf (accessed on 9 January 2025).
  46. Traboulsee, A.; Greenberg, B.M.; Bennett, J.L.; Szczechowski, L.; Fox, E.; Shkrobot, S.; Yamamura, T.; Terada, Y.; Kawata, Y.; Wright, P.; et al. Safety and efficacy of satralizumab monotherapy in neuromyelitis optica spectrum disorder: A randomised, double-blind, multicentre, placebo-controlled phase 3 trial. Lancet Neurol. 2020, 19, 402–412. [Google Scholar] [CrossRef]
  47. Greenberg, B.M.; Fujihara, K.; Weinshenker, B.; Patti, F.; Kleiter, I.; Bennett, J.L.; Palace, J.; Blondeau, K.; Burdeska, A.; Ngwa, I.; et al. Analysis of infection rates in neuromyelitis optica spectrum disorder: Comparing satralizumab treatment in SAkuraMoon, post-marketing, and US-based health claims data. Mult. Scler. Relat. Disord. 2025, 99, 106444. [Google Scholar] [CrossRef]
  48. Ogata, A.; Kato, Y.; Higa, S.; Yoshizaki, K. IL-6 inhibitor for the treatment of rheumatoid arthritis: A comprehensive review. Mod. Rheumatol. 2019, 29, 258–267. [Google Scholar] [CrossRef]
  49. Balasubramanian, S.K.; Sadaps, M.; Thota, S.; Aly, M.; Przychodzen, B.P.; Hirsch, C.M.; Visconte, V.; Radivoyevitch, T.; Maciejewski, J.P. Rational management approach to pure red cell aplasia. Haematologica 2018, 103, 221–230. [Google Scholar] [CrossRef]
  50. Serris, A.; Amoura, Z.; Canoui-Poitrine, F.; Terrier, B.; Hachulla, E.; Costedoat-Chalumeau, N.; Papo, T.; Lambotte, O.; Saadoun, D.; Hie, M.; et al. Efficacy and safety of rituximab for systemic lupus erythematosus-associated immune cytopenias: A multicenter retrospective cohort study of 71 adults. Am. J. Hematol. 2018, 93, 424–429. [Google Scholar] [CrossRef]
Figure 1. Transition of neutrophil counts during AQP4+ NMOSD treatment. The neutrophil counts did not differ among the groups at baseline (A) and at follow-up (B). The neutrophil counts did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 group (F) groups. The neutrophil counts decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoids; IL-6R = interleukin-6 receptor; IS = immunosuppressants; Neu = neutrophil; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Figure 1. Transition of neutrophil counts during AQP4+ NMOSD treatment. The neutrophil counts did not differ among the groups at baseline (A) and at follow-up (B). The neutrophil counts did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 group (F) groups. The neutrophil counts decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoids; IL-6R = interleukin-6 receptor; IS = immunosuppressants; Neu = neutrophil; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Ijms 27 00951 g001
Figure 2. Transition of platelet counts during AQP4+ NMOSD treatment. The platelet counts did not differ among the groups at baseline (A). The platelet counts were significantly lower in the ant-IL-6R than in the GC/IS group at follow-up (B). The platelet counts did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 (F) groups. The platelet counts decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. * p < 0.05 and *** p < 0.001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoids; IL-6R = interleukin-6 receptor; IS = immunosuppressants; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant; Plt = platelet.
Figure 2. Transition of platelet counts during AQP4+ NMOSD treatment. The platelet counts did not differ among the groups at baseline (A). The platelet counts were significantly lower in the ant-IL-6R than in the GC/IS group at follow-up (B). The platelet counts did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 (F) groups. The platelet counts decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. * p < 0.05 and *** p < 0.001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoids; IL-6R = interleukin-6 receptor; IS = immunosuppressants; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant; Plt = platelet.
Ijms 27 00951 g002
Figure 3. Transition of serum C3 levels during AQP4+ NMOSD treatment. The C3 levels did not differ among the groups at baseline (A). The C3 levels were significantly lower in the anti-IL-6R than in the GC/IS, anti-CD19/20, and anti-C5 groups at follow-up (B). The C3 levels did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 (F) groups. The C3 levels decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. * p < 0.05, ** p < 0.01, and **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoid; IL-6 = interleukin-6; IS = immunosuppressant; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Figure 3. Transition of serum C3 levels during AQP4+ NMOSD treatment. The C3 levels did not differ among the groups at baseline (A). The C3 levels were significantly lower in the anti-IL-6R than in the GC/IS, anti-CD19/20, and anti-C5 groups at follow-up (B). The C3 levels did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 (F) groups. The C3 levels decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. * p < 0.05, ** p < 0.01, and **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoid; IL-6 = interleukin-6; IS = immunosuppressant; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Ijms 27 00951 g003
Figure 4. Transition of serum C4 levels during AQP4+ NMOSD treatment. The C4 levels did not differ among the groups at baseline (A). The C4 levels were significantly lower in the anti-IL-6R than in the GC/IS, anti-CD19/20, and anti-C5 groups at follow-up (B). The C4 levels did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 (F) groups. The C4 levels decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. ** p < 0.01, *** p < 0.001, and **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoid; IL-6R = interleukin-6 receptor; IS = immunosuppressant; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Figure 4. Transition of serum C4 levels during AQP4+ NMOSD treatment. The C4 levels did not differ among the groups at baseline (A). The C4 levels were significantly lower in the anti-IL-6R than in the GC/IS, anti-CD19/20, and anti-C5 groups at follow-up (B). The C4 levels did not differ between baseline and follow-up in the GC/IS (C), anti-CD19/20 (D), and anti-C5 (F) groups. The C4 levels decreased from baseline to follow-up in the anti-IL-6R group (E). Horizontal bars indicate median and interquartile range. ** p < 0.01, *** p < 0.001, and **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoid; IL-6R = interleukin-6 receptor; IS = immunosuppressant; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Ijms 27 00951 g004
Figure 5. Transition of CH50 values during AQP4+ NMOSD treatment. The CH50 values did not differ among the groups at baseline (A). The CH50 values were significantly lower in the anti-C5 than in the GC/IS, anti-CD19/20, and anti-IL-6R groups, and those in the anti-IL-6R group were significantly lower than those in the GC/IS and anti-CD19/20 groups at follow-up (B). The CH50 values did not differ between baseline and follow-up in the GC/IS (C) and anti-CD19/20 (D) groups. The CH50 values decreased from baseline to follow-up in the anti-IL-6R (E) and anti-C5 groups (F). Horizontal bars indicate median and interquartile range. * p < 0.05, *** p < 0.001, and **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoid; IL-6R = interleukin-6 receptor; IS = immunosuppressant; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Figure 5. Transition of CH50 values during AQP4+ NMOSD treatment. The CH50 values did not differ among the groups at baseline (A). The CH50 values were significantly lower in the anti-C5 than in the GC/IS, anti-CD19/20, and anti-IL-6R groups, and those in the anti-IL-6R group were significantly lower than those in the GC/IS and anti-CD19/20 groups at follow-up (B). The CH50 values did not differ between baseline and follow-up in the GC/IS (C) and anti-CD19/20 (D) groups. The CH50 values decreased from baseline to follow-up in the anti-IL-6R (E) and anti-C5 groups (F). Horizontal bars indicate median and interquartile range. * p < 0.05, *** p < 0.001, and **** p < 0.0001. α = anti; AQP4 = aquaporin-4; GC = glucocorticoid; IL-6R = interleukin-6 receptor; IS = immunosuppressant; NMOSD = neuromyelitis optica spectrum disorder; N.S. = not significant.
Ijms 27 00951 g005
Table 1. Demographic data of the patients.
Table 1. Demographic data of the patients.
GC/IS Group
(n = 22)
Anti-CD19/20 Group
(n = 13)
Anti-IL-6R Group
(n = 22)
Anti-C5 Group
(n = 13)
Female sex (%)82779192
Age, years, median (range)54.5 (26–80)60 (20–74)57 (35–69)52 (20–73)
AQP4 antibody-positive, %100100100100
Disease duration, years, median (range)6.9 (0.6–32.8)5.4 (0.5–32.8)8.8 (0.4–22.7)5.3 (0.7–21.6)
Baseline EDSS, median (range)3.0 (1.0–8.0)3.0 (1.0–7.0)3.0 (1.0–7.0)3.0 (2.0–7.0)
Autoimmune complicationCS 1, RA 1, SjS 4SjS 1GD 2, RA 1, SjS 3, SLE 1GD 1, RA 2, SAR 1, SjS 4
Comorbidities potentially affecting blood countsIDA 1, ITP 1DVT 1, HPA 1, IDA 1, ITP 1, MT 1DVT 1, MT 2DVT 1, MT 1
Treatment just before biologicsN.A.GC + IS 6, GC 7GC + IS 9, GC 10, IS 3 GC + IS 1, GC 12
Interval between the first injection of biologics and follow-up, months, median (range)N.A.7 (6–48)7.5 (6–46)8 (6–55)
Dose of oral PSL, mg/day, median (range)
Baseline7.5 (0–50)10 (0–20)10 (0–40)10 (0–60)
Follow-up5 (0–15)5 (0–15)4 (0–15)5 (0–8)
Concomitant IS, number
BaselineAZA 1, TAC 7AZA 3, TAC 3AZA 3, TAC 6AZA 1, TAC 0
Follow-upAZA 4, TAC 13AZA 3, TAC 2AZA 1, TAC 4AZA 1, TAC 0
AQP4 = aquaporin-4, AZA = azathioprine, CS = chronic thyroiditis, EDSS = Expanded Disability Status Scale, GC = glucocorticoids, GD = Graves’ disease, HPA = hemophilia A, IDA = iron-deficiency anemia, IL-6R = interleukin-6 receptor, IS = immunosuppressants, ITP = idiopathic thrombocytopenic purpura, MT = malignant tumor, N.A. = not applicable, PSL = prednisolone, RA = rheumatoid arthritis, SAR = sarcoidosis, SjS = Sjogren syndrome, SLE = systemic lupus erythematosus, TAC = tacrolimus.
Table 2. Blood counts of the patients.
Table 2. Blood counts of the patients.
Neutrophil
(/mm3)
Lymphocyte
(/mm3)
Erythrocyte
(×104/mm3)
Platelet
(×104/mm3)
GC/IS group
Baseline3785
(1760–9530)
1615
(830–2810)
452
(401–521)
27.1
(18.2–37)
Follow-up3740
(1470–7500)
1780
(620–3270)
439
(366–544)
26.2
(17.2–39.5)
Anti-CD19/20 group
Baseline4940
(2400–12,560)
1570
(540–2370)
413
(370–476)
27.2
(18.2–35)
Follow-up3880
(2190–11,190)
1500
(670–3220)
457 ***
(395–506)
27.7
(19.5–35.3)
Anti-IL-6R group
Baseline5890
(1700–19,130)
1115
(370–2920)
448
(358–562)
26.9
(15.6–38.7)
Follow-up2810 ****
(360–9690)
1190
(360–2540)
450
(359–515)
20.7 ***
(10.2–33.6)
Anti-C5 group
Baseline6740
(2220–10,940)
1070
(540–4130)
392
(292–487)
26.4
(13.6–53.5)
Follow-up4780
(1810–10,200)
1210
(510–2750)
441
(286–486)
24.5
(15.4–33.2)
Values are expressed as median (range). *** p < 0.001 and **** p < 0.0001 (difference between values at baseline and those at follow-up). GC = glucocorticoid, IL-6R = interleukin-6 receptor, IS = immunosuppressant.
Table 3. Serum C3, C4, and CH50 values of the patients.
Table 3. Serum C3, C4, and CH50 values of the patients.
C3
(mg/dL)
C4
(mg/dL)
CH50
(U/mL)
GC/IS group
Baseline114
(72–185)
23.1
(11.2–53.2)
53.6
(40–97.2)
Follow-up110
(74–146)
22
(13.4–39.7)
57.4
(41–82.1)
Anti-CD19/20 group
Baseline113
(72–156.5)
17
(4.9–34.2)
49.4
(36.5–93)
Follow-up112
(84.8–160.3)
19.7
(9.1–33.6)
50.2
(36.8–87.6)
Anti-IL-6R group
Baseline99
(69–132)
24
(6.5–32.8)
54.2
(32.2–72.7)
Follow-up78.5 ****
(60–118)
11 ***
(7–17)
41.1 ***
(30.1–54.4)
Anti-C5 group
Baseline108.4
(75.5–118)
17.7
(9–26.9)
51.2
(30.4–68.4)
Follow-up102.8
(76–130)
20.4
(9.9–30.4)
10 ***
(10–17)
Values are expressed as median (range). *** p < 0.001 and **** p < 0.0001 (difference between values at baseline and those at follow-up). GC = glucocorticoid, IL-6R = interleukin-6 receptor, IS = immunosuppressant.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kuroda, H.; Fujihara, K.; Kaneko, K.; Takai, Y.; Matsumoto, Y.; Otomo, M.; Yamazaki, N.; Umezawa, S.; Yamamoto, N.; Sakamoto, N.; et al. Changes in Blood Cells and Complements During Relapse Prevention Therapies for Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder. Int. J. Mol. Sci. 2026, 27, 951. https://doi.org/10.3390/ijms27020951

AMA Style

Kuroda H, Fujihara K, Kaneko K, Takai Y, Matsumoto Y, Otomo M, Yamazaki N, Umezawa S, Yamamoto N, Sakamoto N, et al. Changes in Blood Cells and Complements During Relapse Prevention Therapies for Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder. International Journal of Molecular Sciences. 2026; 27(2):951. https://doi.org/10.3390/ijms27020951

Chicago/Turabian Style

Kuroda, Hiroshi, Kazuo Fujihara, Kimihiko Kaneko, Yoshiki Takai, Yuki Matsumoto, Mizuki Otomo, Naoya Yamazaki, Shu Umezawa, Naoki Yamamoto, Naohiro Sakamoto, and et al. 2026. "Changes in Blood Cells and Complements During Relapse Prevention Therapies for Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder" International Journal of Molecular Sciences 27, no. 2: 951. https://doi.org/10.3390/ijms27020951

APA Style

Kuroda, H., Fujihara, K., Kaneko, K., Takai, Y., Matsumoto, Y., Otomo, M., Yamazaki, N., Umezawa, S., Yamamoto, N., Sakamoto, N., Namatame, C., Ono, H., Nishiyama, S., Takahashi, T., Misu, T., & Aoki, M. (2026). Changes in Blood Cells and Complements During Relapse Prevention Therapies for Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder. International Journal of Molecular Sciences, 27(2), 951. https://doi.org/10.3390/ijms27020951

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop