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Součková I, Souček O, Krejsek J, Vyšata O, Matyáš D, Peterka M, Novotný M, Kunc P, Pavelek Z. Quantiferon Monitor Testing Sheds Light on Immune System Disparities between Multiple Sclerosis Patients and Healthy Individuals. Int J Mol Sci 2024; 25:2179. [PMID: 38396856 PMCID: PMC10889671 DOI: 10.3390/ijms25042179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 01/27/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
The aim of this study was to conduct QuantiFERON Monitor (QFM) testing in patients with multiple sclerosis (MS), which is used to monitor the state of the immune system through the non-specific stimulation of leukocytes followed by determining the level of interferon-gamma (IFN-γ) released from activated cells. Additionally, we tested the level of selected cytokines (IFN-α, IFN-γ, IL-1α, IL-1β, IL-1ra, IL-2, IL-3, IL-4, IL-6, IL-7, IL-10, IL-15, IL-33, VEGF) from stimulated blood samples to further understand the immune response. This study builds upon a previously published study, utilizing activated serum samples that were initially used for IFN-γ determination. However, our current focus shifts from IFN-γ to exploring other cytokines that could provide further insights into the immune response. A screening was conducted using Luminex technology, which yielded promising results. These results were then further elaborated upon using ELISA to provide a more detailed understanding of the cytokine profiles involved. This study, conducted from August 2019 to June 2023, included 280 participants: 98 RRMS patients treated with fingolimod (fMS), 96 untreated patients with progressive MS (pMS), and 86 healthy controls (HC). Our results include Violin plots showing elevated IL-1α in pMS and fMS. Statistical analysis indicated significant differences in the interleukin levels between groups, with IL-1ra and age as key predictors in differentiating HC from pMS and IL-1ra, IL-1α, age, and EDSS in distinguishing pMS from fMS. These findings suggest cytokines' potential as biomarkers in MS progression and treatment response.
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Affiliation(s)
- Ilona Součková
- Department of Clinical Immunology and Allergology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
| | - Ondřej Souček
- Department of Clinical Immunology and Allergology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
| | - Jan Krejsek
- Department of Clinical Immunology and Allergology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
| | - Oldřich Vyšata
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
- Department of Neurology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
| | - David Matyáš
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
- Department of Neurology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
| | - Marek Peterka
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
- Department of Neurology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
| | - Michal Novotný
- Department of Neurology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
| | - Pavel Kunc
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
- Department of Neurology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
| | - Zbyšek Pavelek
- Faculty of Medicine in Hradec Králové, Charles University, 50003 Hradec Kralove, Czech Republic (Z.P.)
- Department of Neurology, University Hospital Hradec Kralove, 50005 Hradec Kralove, Czech Republic
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Zhang J, Wang MG, He JQ. Association between a single nucleotide polymorphism of the ALOX5 gene and susceptibility to multisystem tuberculosis in a Chinese Han population. Microb Pathog 2023; 183:106289. [PMID: 37567324 DOI: 10.1016/j.micpath.2023.106289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND Host genetic single nucleotide polymorphisms can exert an influence susceptibility to tuberculosis infection. Previous investigations have demonstrated an association between the polymorphism in the ALOX5 gene and a range of diseases, encompassing not only noninfectious conditions like asthma, acute myocardial infarction, and cerebral infarction but also infections caused by various pathogens. However, the relationship between ALOX5 gene polymorphism and susceptibility to tuberculosis has received limited research attention. The ALOX5 gene encodes arachidonic acid 5-lipoxygenase(5-LO), which serves as the initiating catalyst in the generation of the inflammatory mediator leukotriene. Leukotrienes, products derived from the 5-LO pathway, are potent proinflammatory lipid mediators that assume a pivotal role in tuberculosis infections.Consequently, ALOX5 gene variants may be intricately associated with the pathogenesis of tuberculosis. In instances where the host exhibits immunocompromisation, infection with Mycobacterium tuberculosis can impact multiple systems. The involvement of multiple systems significantly augments the complexity of treatment and escalates patient mortality rates. Regrettably, the underlying mechanisms driving multisystem tuberculosis pathogenesis remain enigmatic, with clinicians paying scant attention to this aspect. Although the protein encoded by the ALOX5 gene represents a pivotal enzyme that catalyzes the metabolism of arachidonic acid into LXA4, and thereby plays a significant role in the inflammatory response during tuberculosis infection, studies investigating ALOX5 gene polymorphism and its association with susceptibility to multisystem tuberculosis in the Chinese Han population are exceptionally scarce. Therefore, the primary objective of this study is to comprehensively examine the correlation between ALOX5 gene polymorphisms and susceptibility to tuberculosis within the Chinese Han population, with particular emphasis on multisystemic tuberculosis. METHODS A case‒control study design was employed, encompassing 382 individuals with pulmonary tuberculosis and 367 individuals with multisystemic tuberculosis as the case groups, along with 577 healthy controls.Whole blood DNA was extracted from all patients and healthy controls. Subsequently, three tag polymorphisms (rs2029253, rs7896431, rs2115819) within the ALOX5 gene were selectively identified and genotyped. RESULTS After adjusting for age and sex, the presence of allele A at rs2029253 exhibited a pronounced association with an elevated risk of TB susceptibility when compared to the tuberculosis group and healthy control group. (ORa: 2.174, 95% CI: 1.827-2.587; Pa<0.001, respectively). Notably, the rs2029253 AG genotype and AA genotype displayed a significantly increased susceptibility to tuberculosis (ORa: 2.236, 95% CI: 1.769-2.825; Pa <0.001 and ORa: 4.577, 95% CI: 2.950-7.100; Pa <0.001, respectively) compared to the GG genotype. Moreover, in the analysis utilizing genetic models, rs2029253 also exhibited a markedly heightened susceptibility to tuberculosis in additive models, dominant models, and recessive models (Pa <0.001). Conversely, no significant association was observed between rs7896431, rs2115819, and tuberculosis. In the subgroup analysis, when comparing the pulmonary tuberculosis group with the healthy control group, we observed no significant disparities in the distribution frequencies of alleles, genotypes, and gene models (additive model, dominant model, and recessive model) for the three tag SNPs, with P-values were >0.05 after adjusting for age and sex. Additionally, we noted that the presence of allele A at rs2029253 was linked to an increased susceptibility to tuberculosis in the multisystemic tuberculosis group relative to the healthy control group (ORa: 2.292, 95% CI: 1.870-2.810; Pa<0.001). Similarly, the rs2029253 AG genotype, AA genotype, and gene models, including the additive model, dominant model, and recessive model, demonstrated a significantly elevated risk of tuberculosis susceptibility. CONCLUSIONS The polymorphism in the ALOX5 gene is associated with susceptibility to multisystemic tuberculosis in the Chinese Han population.
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Affiliation(s)
- Juan Zhang
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, No.37, Guo Xue Alley, Chengdu, 610041, Sichuan Province, People's Republic of China; Intensive Care Unit, Deyang People's Hospital, No 173, North Taishan Road, Deyang, 618000, Sichuan Province, People's Republic of China
| | - Ming-Gui Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, No.37, Guo Xue Alley, Chengdu, 610041, Sichuan Province, People's Republic of China
| | - Jian-Qing He
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, No.37, Guo Xue Alley, Chengdu, 610041, Sichuan Province, People's Republic of China.
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Pavelek Z, Soucek O, Krejsek J, Sejkorova I, Vysata O, Klimová B, Angelucci F, Stourac P, Valis M, Peterka M, Sobisek L, Novotny M. Assessment of Functional Capacity of Immune System in Patients with Multiple Sclerosis using QuantiFERON Monitor. J Immunol Res 2023; 2023:4653627. [PMID: 37064009 PMCID: PMC10104739 DOI: 10.1155/2023/4653627] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/19/2023] [Accepted: 02/28/2023] [Indexed: 04/18/2023] Open
Abstract
Background The QuantiFERON®-Monitor (QFM) is an assay that measures interferon-γ production and was developed to provide an objective marker of complex immune response. In this study, we evaluated the use of the QFM test in patients with two forms of multiple sclerosis (MS), relapsing-remitting form treated with fingolimod (fMS) and secondarily progressive form not treated pharmacologically (pMS), and in healthy controls (HC). We hypothesized that IFN-γ levels would be lower in those subjects who are relatively more immunosuppressed and higher in those with normal or activated immune function. Methods This single-center observational study was conducted from November 2020 to October 2021 and compared results in three groups of patients: 86 healthy controls, 96 patients with pMS, and 78 fMS. Combination of lyophilized stimulants was added to 1 ml heparinized whole blood within 8 hr of collection. Plasmatic IFN-γ was measured using the ELISA kit for the QFM and data were obtained in IU/ml. Results The results showed that controls had nearly 2-fold higher levels of IFN-γ (QFM score) in median (q25, q75) 228.00 (112.20, 358.67) than the MS patient groups: pMS 144.80 (31.23, 302.00); fMS 130.50 (39.95, 217.07) which is statistically significant difference P-value: HC vs. pMS = 0.0071; HC vs. fMS = 0.0468. This result was also confirmed by a validation analysis to exclude impact of variable factors, such as disease duration and Expanded Disability Status Scale scores. Conclusions Results showed that controls had higher levels of IFN-γ production than the MS patient groups and suggest that MS patients included in this study have a lower ability of immune system activation than HC. Results confirm that fingolimod is able to suppress production of IFN-γ. The fact that the QFM score of MS patients is significantly lower than that of HC may indicate a dysfunctional state of the immune system in baseline conditions.
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Affiliation(s)
- Zbysek Pavelek
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Ondrej Soucek
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Jan Krejsek
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Ilona Sejkorova
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Oldrich Vysata
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Blanka Klimová
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Francesco Angelucci
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Pavel Stourac
- Department of Neurology, University Hospital and Masaryk University, Brno, Czech Republic
| | - Martin Valis
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Marek Peterka
- Department of Neurology, Faculty of Medicine and University Hospital Plzen, Charles University in Prague, Plzeň, Czech Republic
| | - Lukáš Sobisek
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Michal Novotny
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
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Qiao M, Li S, Yuan J, Ren W, Shang Y, Wang W, Liu R, Zhang F, Li Q, Wu X, Lu J, Gao M, Pang Y. Delamanid suppresses CXCL10 expression via regulation of JAK/STAT1 signaling and correlates with reduced inflammation in tuberculosis patients. Front Immunol 2022; 13:923492. [DOI: 10.3389/fimmu.2022.923492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
BackgroundApart from bactericidal effects, anti-tuberculosis drugs can interfere with the host’s immune system. In this study, we analyzed the role of delamanid (DLM), an inhibitor of mycolic acid synthesis of mycobacterial cell wall, on human macrophages.MethodsBased on a cohort of multidrug-resistant tuberculosis (MDR-TB) patients treated with DLM, the levels of C-reaction protein (CRP) and cytokines in the plasma were monitored using immunoturbidimetric assay and flow cytometry, respectively. We investigated the role of DLM on CXCL10 expression in U937 cell model using the following methods: cell viability assay, reverse transcription-quantitative polymerase chain reaction, enzyme linked immunosorbent assay, immunoblot, and transwell co-culture assay.ResultsA total of 23 MDR-TB patients were included, comprising of 13 patients treated with optimized background therapeutic regimen (OBR) plus DLM regimen (OBR+DLM) and 10 patients treated with OBR plus placebo. DLM administration was associated with a significant reduce in circulating CRP level. Correspondingly, after treatment, the level of CXCL10 in patients treated with OBR+DLM was significantly lower than that with control. Using cell model, DLM dramatically suppressed CXCL10 expression, which majorly depended on inhibiting the JAK/STAT pathway, and impaired the migration of PBMCs.ConclusionOur data firstly demonstrate that DLM suppresses CXCL10 expression via regulation of JAK2/STAT1 signaling and correlates with reduced inflammation in MDR-TB patients. DLM could be used as a potential drug for immunotherapy of patients with overactive immune response due to CXCL10.
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Biomarkers that correlate with active pulmonary tuberculosis treatment response: a systematic review and meta-analysis. J Clin Microbiol 2021; 60:e0185921. [PMID: 34911364 PMCID: PMC8849205 DOI: 10.1128/jcm.01859-21] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Current WHO recommendations for monitoring treatment response in adult pulmonary tuberculosis (TB) are sputum smear microscopy and/or culture conversion at the end of the intensive phase of treatment. These methods either have suboptimal accuracy or a long turnaround time. There is a need to identify alternative biomarkers to monitor TB treatment response. We conducted a systematic review of active pulmonary TB treatment monitoring biomarkers. We screened 9,739 articles published between 1 January 2008 and 31 December 2020, of which 77 met the inclusion criteria. When studies quantitatively reported biomarker levels, we meta-analyzed the average fold change in biomarkers from pretreatment to week 8 of treatment. We also performed a meta-analysis pooling the fold change since the previous time point collected. A total of 81 biomarkers were identified from 77 studies. Overall, these studies exhibited extensive heterogeneity with regard to TB treatment monitoring study design and data reporting. Among the biomarkers identified, C-reactive protein (CRP), interleukin-6 (IL-6), interferon gamma-induced protein 10 (IP-10), and tumor necrosis factor alpha (TNF-α) had sufficient data to analyze fold changes. All four biomarker levels decreased during the first 8 weeks of treatment relative to baseline and relative to previous time points collected. Based on limited data available, CRP, IL-6, IP-10, and TNF-α have been identified as biomarkers that should be further explored in the context of TB treatment monitoring. The extensive heterogeneity in TB treatment monitoring study design and reporting is a major barrier to evaluating the performance of novel biomarkers and tools for this use case. Guidance for designing and reporting treatment monitoring studies is urgently needed.
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