Neutrophil-to-lymphocyte ratio and CRP as biomarkers in multiple sclerosis: A systematic review.

Multiple sclerosis (MS) is a chronic immune-mediated disease of the central nervous system, which causes demyelination and neuroaxonal damage. Low-grade systemic inflammation has been suggested to contribute to the pathogenesis due to amplification of pathogenic immune activation. However, there is a lack of reliable biomarkers of systemic inflammation predicting disease activity and progression in MS. The neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) have been identified as biomarkers of severity and disease activity in various disorders. In September 2020, we conducted a systematic literature search on multiple databases on studies reporting NLR values or CRP levels in MS. The aim of this systematic review was to highlight the current knowledge about the potential of NLR and CRP as biomarkers in MS. A total of nineteen articles qualified for inclusion. Data on CRP were included in fourteen studies and NLR in nine studies. The results regarding CRP were inconsistent, and present literature does not support the use of CRP as a diagnostic or prognostic biomarker in MS. In contrast, NLR values were increased in MS patients compared with healthy controls in all case-control studies. Furthermore, NLR was associated with disease activity in untreated patients. Our systematic review therefore indicates that NLR might serve as a potential biomarker of disease activity. Given that the results of NLR are mainly drawn from retrospective case-control or cross-sectional studies, future prospective studies with long-term follow-up are required to accurately determine optimal timing and cutoff values that may be used in the clinical setting.

Smoking is associated with increased disease activity during natalizumab treatment in multiple sclerosis.

BACKGROUND: Smoking has been associated with increased multiple sclerosis (MS) risk, disease worsening, and progression in MS patients. Furthermore, interactions between smoking and human leukocyte antigen (HLA) genes have been shown for MS risk. Recently, we found that smoking was associated with an increased relapse rate in interferon-beta-treated relapsing-remitting multiple sclerosis (RRMS) patients. OBJECTIVES: We examined the association between smoking and relapses in natalizumab-treated RRMS patients. Second, we investigated if an interaction between smoking and HLA-DRB1*15:01 or HLA-A*02:01 affected the number of relapses during treatment. METHODS: In this observational cohort study, 355 natalizumab-treated RRMS patients were assessed. Prespecified criteria excluded 62 patients. Clinical data from the starting of treatment to the two-year follow-up visit were collected. Smoking status was obtained by a questionnaire survey. TaqMan allelic discrimination was used for genotyping of tag single-nucleotide polymorphisms (SNPs) for HLA-DRB1*15:01 and HLA-A*02:01. Negative binomial regression analysis was used to analyze the association between relapse rate and smoking intensity and HLA. RESULTS: One pack of cigarettes (20 cigarettes) per day during natalizumab treatment increased the relapse rate during treatment with 38% (incidence rate ratio (IRR) = 1.38, 95% confidence interval (CI): 1.08-1.77, p = 0.01). No association or interaction was found between smoking and HLA-DRB1*15:01 or HLA-A*02:01, respectively. CONCLUSION: Smoking intensity was significantly associated with the number of relapses during natalizumab treatment.

Short-chain fatty acids and gut microbiota in multiple sclerosis.

BACKGROUND: Multiple Sclerosis (MS) is a chronic immune-mediated neurological disease of the central nervous system with a complex and still not fully understood aetiology. In recent years, the gut microbiota and fermentative metabolites like short-chain fatty acids (SCFAs) have received increased attention in relation to the development and disease course of MS. This systematic review highlights and summarizes the existing literature within this field. METHODS: A systematic search in PubMed was conducted on 12 October 2017, to find published original studies on SCFAs and their impact on MS and the animal model of MS experimental autoimmune encephalomyelitis (EAE). Furthermore, all studies analysing the gut microbiota in MS patients were included. A total of 14 studies were eligible for this review. RESULTS: Short-chain fatty acids have been shown to ameliorate the disease course in EAE, but no studies specifically addressing the role of SCFAs in human MS patients were identified. However, some investigations have shown that the microbiota of MS patients is characterized by a reduction in SCFA-producing bacteria. CONCLUSIONS: Studies of EAE in mice suggest that SCFAs may play a role in the development and progression of EAE, but so far this has not been confirmed in humans. An aberrant gut microbiota in MS patients has been reported to be differentially abundant compared with healthy controls, although with little consistency in the bacterial taxa. Further investigations are required to elucidate the involvement of the gut microbiota and its metabolites, including potential beneficial effects of SCFAs, in the development and course of MS.

Genetic variants are major determinants of CSF antibody levels in multiple sclerosis.

Immunological hallmarks of multiple sclerosis include the production of antibodies in the central nervous system, expressed as presence of oligoclonal bands and/or an increased immunoglobulin G index-the level of immunoglobulin G in the cerebrospinal fluid compared to serum. However, the underlying differences between oligoclonal band-positive and -negative patients with multiple sclerosis and reasons for variability in immunoglobulin G index are not known. To identify genetic factors influencing the variation in the antibody levels in the cerebrospinal fluid in multiple sclerosis, we have performed a genome-wide association screen in patients collected from nine countries for two traits, presence or absence of oligoclonal bands (n = 3026) and immunoglobulin G index levels (n = 938), followed by a replication in 3891 additional patients. We replicate previously suggested association signals for oligoclonal band status in the major histocompatibility complex region for the rs9271640*A-rs6457617*G haplotype, correlated with HLA-DRB1*1501, and rs34083746*G, correlated with HLA-DQA1*0301 (P comparing two haplotypes = 8.88 × 10(-16)). Furthermore, we identify a novel association signal of rs9807334, near the ELAC1/SMAD4 genes, for oligoclonal band status (P = 8.45 × 10(-7)). The previously reported association of the immunoglobulin heavy chain locus with immunoglobulin G index reaches strong evidence for association in this data set (P = 3.79 × 10(-37)). We identify two novel associations in the major histocompatibility complex region with immunoglobulin G index: the rs9271640*A-rs6457617*G haplotype (P = 1.59 × 10(-22)), shared with oligoclonal band status, and an additional independent effect of rs6457617*G (P = 3.68 × 10(-6)). Variants identified in this study account for up to 2-fold differences in the odds of being oligoclonal band positive and 7.75% of the variation in immunoglobulin G index. Both traits are associated with clinical features of disease such as female gender, age at onset and severity. This is the largest study population so far investigated for the genetic influence on antibody levels in the cerebrospinal fluid in multiple sclerosis, including 6950 patients. We confirm that genetic factors underlie these antibody levels and identify both the major histocompatibility complex and immunoglobulin heavy chain region as major determinants.