Lectin complement pathway initiators after subarachnoid hemorrhage - an observational study

Jeppe Sillesen Matzen, Charlotte Loumann Krogh, Julie Lyng Forman, Peter Garred, Kirsten Møller, Søren Bache, Jeppe Sillesen Matzen, Charlotte Loumann Krogh, Julie Lyng Forman, Peter Garred, Kirsten Møller, Søren Bache

Abstract

Background: This exploratory study investigated the time-course of lectin complement pathway (LCP) initiators in cerebrospinal fluid (CSF) and plasma in patients with subarachnoid hemorrhage (SAH), as well as their relationship to delayed cerebral ischemia (DCI) and functional outcome.

Methods: Concentrations of ficolin-1, ficolin-2, ficolin-3, and mannose-binding lectin (MBL) were analyzed in CSF and plasma from patients with SAH. Samples were collected daily from admission until day 9 (CSF; N_PATIENTS = 63, n_SAMPLES = 399) and day 8 (plasma; N_PATIENTS = 50, n_SAMPLES = 358), respectively. Twelve neurologically healthy patients undergoing spinal anesthesia and 12 healthy blood donors served as controls. The development of DCI during hospitalization and functional outcome at 3 months (modified Rankin Scale) were registered for patients.

Results: On admission, CSF levels of all LCP initiators were increased in SAH patients compared with healthy controls. Levels declined gradually over days in patients; however, a biphasic course was observed for ficolin-1. Increased CSF levels of all LCP initiators were associated with a poor functional outcome in univariate analyses. This relationship persisted for ficolin-1 and MBL in multivariate analysis after adjustments for confounders (age, sex, clinical severity, distribution and amount of blood on CT-imaging) and multiple testing (1.87 ng/mL higher in average, 95% CI, 1.17 to 2.99 and 1.69 ng/mL higher in average, 95% CI, 1.09 to 2.63, respectively). In patients who developed DCI compared with those without DCI, CSF levels of ficolin-1 and MBL tended to increase slightly more over time (p_interaction = 0.021 and 0.033, respectively); however, no association was found after adjustments for confounders and multiple testing (p-adj_interaction = 0.086 and 0.098, respectively). Plasma ficolin-1 and ficolin-3 were lower in SAH patients compared with healthy controls on all days. DCI and functional outcome were not associated with LCP initiator levels in plasma.

Conclusion: Patients with SAH displayed elevated CSF levels of ficolin-1, ficolin-2, ficolin-3, and MBL. Increased CSF levels of ficolin-1 and MBL were associated with a poor functional outcome.

Trial registration: This study was a retrospective analysis of samples, which had been prospectively sampled and stored in a biobank. Registered at clinicaltrials.gov ( NCT01791257 , February 13, 2013, and NCT02320539 , December 19, 2014).

Keywords: Delayed cerebral ischemia; Ficolin; Functional outcome; Lectin complement pathway; Subarachnoid hemorrhage.

Conflict of interest statement

The authors declare that they have no competing interest and no conflict of interest with respect to the research, authorship, and publication.

Figures

Fig. 1
Fig. 1
Daily levels of LCP initiators. Daily levels of ficolin-1, ficolin-2, ficolin-3, and MBL in CSF (left) and plasma (right) in patients with SAH (black) and neurologically healthy patients (green). The daily levels are presented as medians in CSF and as means in plasma. Error bars show ±1 SD. Asterisks (*) indicate significance on specific days after SAH compared to control patients (p < 0.05) using Wilcoxon’s rank-sum test. Each LCP initiator graph is based on a total number of 399 CSF samples from 63 SAH patients (mean number of samples per patient, 7; range, 6–8), 358 plasma samples from 50 SAH patients (mean number of samples per patient, 7; range, 6–8), and 12 control samples from 12 neurologically healthy patients. MBL: Mannose-binding lectin, CSF: Cerebrospinal fluid, SAH: Subarachnoid hemorrhage
Fig. 2
Fig. 2
Predicted daily LCP initiator levels in SAH patients with or without the development of DCI. Predicted daily levels of ficolin-1, ficolin-2, ficolin-3, and MBL in CSF (left) and in plasma (right) in patients with (blue) or without (red) the development of DCI. The predicted daily levels are presented as medians in CSF and as means in plasma. Error bars show 95% confidence intervals. P values shown in the bottom left of each graph are adjusted for confounders (age, sex, WFNS, and Fisher score) and multiple testing (Benjamini-Hochberg procedure) and represent the overall difference in concentration between groups (p-adj) and overall different development over time (p-adj_interaction) for each LCP initiator. Asterisks indicate (*) significant levels on specific days <0.05. Each LCP initiator graph is based on a total number of 241 CSF samples from 36 SAH patients (mean number of samples per patient, 7; range, 6–8) and 233 plasma samples from 33 SAH patients (mean number of samples per patient, 7; range, 6–8). LCP: Lectin complement pathway, MBL: Mannose-binding lectin, CSF: Cerebrospinal fluid, CT: Computed tomography, DCI: Delayed cerebral ischemia, SAH: Subarachnoid hemorrhage
Fig. 3
Fig. 3
Predicted daily levels of LCP initiators in SAH patients with poor versus good functional outcome. Predicted daily levels of ficolin-1, ficolin-2, ficolin-3, and MBL in CSF (left) and in plasma (right) in patients with a poor (blue) and good (red) functional outcome. The predicted daily levels are presented as medians in CSF and as means in plasma. Error bars show 95% confidence intervals. P values shown in the bottom left of each graph are adjusted for confounders (age, sex, WFNS, and Fisher score) and multiple testing (Benjamini-Hochberg procedure) and represent the overall difference in concentration between groups (p-adj) and overall different development over time (p-adj_interaction) for each LCP initiator. Asterisks (*) indicate significant levels on specific days <0.05. Each LCP initiator graph is based on a total number of 399 CSF samples from 63 SAH patients (mean number of samples per patient, 7; range, 6–8) and 358 plasma samples from 50 SAH patients (mean number of samples per patient, 7; range, 6–8). MBL: Mannan-binding lectin, CSF: Cerebrospinal fluid, SAH = subarachnoid hemorrhage

References

    1. Ingall T, Asplund K, Mahonen M, Bonita R. A multinational comparison of subarachnoid hemorrhage epidemiology in the WHO MONICA stroke study. Stroke. 2000;31:1054–1061. doi: 10.1161/01.STR.31.5.1054.
    1. Johnston SC, Selvin S, Gress DR. The burden, trends, and demographics of mortality from subarachnoid hemorrhage. Neurology. 1998;50:1413–1418. doi: 10.1212/WNL.50.5.1413.
    1. de Rooij NK, Linn FH, van der Plas JA, Algra A, Rinkel GJ. Incidence of subarachnoid haemorrhage: a systematic review with emphasis on region, age, gender and time trends. J Neurol Neurosurg Psychiatry. 2007;78:1365–1372. doi: 10.1136/jnnp.2007.117655.
    1. Rowland MJ, Hadjipavlou G, Kelly M, Westbrook J, Pattinson KT. Delayed cerebral ischaemia after subarachnoid haemorrhage: looking beyond vasospasm. Br J Anaesth. 2012;109:315–329. doi: 10.1093/bja/aes264.
    1. Vergouwen MD, Vermeulen M, van Gijn J, et al. Definition of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage as an outcome event in clinical trials and observational studies: proposal of a multidisciplinary research group. Stroke. 2010;41:2391–2395. doi: 10.1161/STROKEAHA.110.589275.
    1. Adams HP., Jr Early management of the patient with recent aneurysmal subarachnoid hemorrhage. Stroke. 1986;17:1068–1070. doi: 10.1161/01.STR.17.6.1068.
    1. Foreman B. The Pathophysiology of Delayed Cerebral Ischemia. J Clin Neurophysiol. 2016;33:174–182. doi: 10.1097/WNP.0000000000000273.
    1. Geraghty JR, Testai FD. Delayed cerebral ischemia after subarachnoid hemorrhage: beyond vasospasm and towards a multifactorial pathophysiology. Current atherosclerosis reports. 2017;19:50. doi: 10.1007/s11883-017-0690-x.
    1. Bajic G, Degn SE, Thiel S, Andersen GR. Complement activation, regulation, and molecular basis for complement-related diseases. Embo j. 2015;34:2735–2757. doi: 10.15252/embj.201591881.
    1. Degn SE, Thiel S. Humoral pattern recognition and the complement system. Scand J Immunol. 2013;78:181–193. doi: 10.1111/sji.12070.
    1. Garred P, Genster N, Pilely K, et al. A journey through the lectin pathway of complement-MBL and beyond. Immunol Rev. 2016;274:74–97. doi: 10.1111/imr.12468.
    1. Degn SE, Hansen AG, Steffensen R, Jacobsen C, Jensenius JC, Thiel S. MAp44, a human protein associated with pattern recognition molecules of the complement system and regulating the lectin pathway of complement activation. J Immunol. 2009;183:7371–7378. doi: 10.4049/jimmunol.0902388.
    1. Fust G, Munthe-Fog L, Illes Z, et al. Low ficolin-3 levels in early follow-up serum samples are associated with the severity and unfavorable outcome of acute ischemic stroke. J Neuroinflammation. 2011;8:185. doi: 10.1186/1742-2094-8-185.
    1. Zangari R, Zanier ER, Torgano G, et al. Early ficolin-1 is a sensitive prognostic marker for functional outcome in ischemic stroke. J Neuroinflammation. 2016;13:16. doi: 10.1186/s12974-016-0481-2.
    1. Wang ZY, Sun ZR, Zhang LM. The relationship between serum mannose-binding lectin levels and acute ischemic stroke risk. Neurochem Res. 2014;39:248–253. doi: 10.1007/s11064-013-1214-x.
    1. Zhang ZG, Wang C, Wang J, et al. Prognostic value of mannose-binding lectin: 90-day outcome in patients with acute ischemic stroke. Mol Neurobiol. 2015;51:230–239. doi: 10.1007/s12035-014-8682-0.
    1. Llull L, Thiel S, Amaro S, Cervera A, Planas AM, Chamorro A. Ficolin-1 levels in patients developing vasospasm and cerebral ischemia after spontaneous subarachnoid hemorrhage. Mol Neurobiol. 2017;54:6572–6580. doi: 10.1007/s12035-016-0180-0.
    1. Sandgaard E, Troldborg A, Lauridsen SV, Gyldenholm T, Thiel S, Hvas AM. Changes in the lectin pathway following intracerebral or spontaneous subarachnoid hemorrhage. Mol Neurobiol. 2019;56:78–87. doi: 10.1007/s12035-018-1066-0.
    1. Zanier ER, Zangari R, Munthe-Fog L, et al. Ficolin-3-mediated lectin complement pathway activation in patients with subarachnoid hemorrhage. Neurology. 2014;82:126–134. doi: 10.1212/WNL.0000000000000020.
    1. Cai JY, Sun J, Yu ZQ. Serum mannose-binding lectin levels after aneurysmal subarachnoid hemorrhage. Acta Neurol Scand. 2016;134:360–367. doi: 10.1111/ane.12552.
    1. Bache S, Rasmussen R, Rossing M, Laigaard FP, Nielsen FC, Moller K. MicroRNA Changes in Cerebrospinal Fluid After Subarachnoid Hemorrhage. Stroke. 2017;48:2391–2398. doi: 10.1161/STROKEAHA.117.017804.
    1. Teasdale GM, Drake CG, Hunt W, et al. A universal subarachnoid hemorrhage scale: report of a committee of the World Federation of Neurosurgical Societies. J Neurol Neurosurg Psychiatry. 1988;51:1457. doi: 10.1136/jnnp.51.11.1457.
    1. Fisher CM, Kistler JP, Davis JM. Relation of cerebral vasospasm to subarachnoid hemorrhage visualized by computerized tomographic scanning. Neurosurgery. 1980;6:1–9. doi: 10.1227/00006123-198001000-00001.
    1. van Swieten JC, Koudstaal PJ, Visser MC, Schouten HJ, van Gijn J. Interobserver agreement for the assessment of handicap in stroke patients. Stroke. 1988;19:604–607. doi: 10.1161/01.STR.19.5.604.
    1. Munthe-Fog L, Hummelshoj T, Honore C, et al. Variation in FCN1 affects biosynthesis of ficolin-1 and is associated with outcome of systemic inflammation. Genes Immun. 2012;13:515–522. doi: 10.1038/gene.2012.27.
    1. Munthe-Fog L, Hummelshoj T, Hansen BE, et al. The impact of FCN2 polymorphisms and haplotypes on the Ficolin-2 serum levels. Scand J Immunol. 2007;65:383–392. doi: 10.1111/j.1365-3083.2007.01915.x.
    1. Munthe-Fog L, Hummelshoj T, Ma YJ, et al. Characterization of a polymorphism in the coding sequence of FCN3 resulting in a Ficolin-3 (Hakata antigen) deficiency state. Mol Immunol. 2008;45:2660–2666. doi: 10.1016/j.molimm.2007.12.012.
    1. Garred P, Madsen HO, Kurtzhals JA, et al. Diallelic polymorphism may explain variations of the blood concentration of mannan-binding protein in Eskimos, but not in black Africans. Eur J Immunogenet. 1992;19:403–412. doi: 10.1111/j.1744-313X.1992.tb00083.x.
    1. Jacob A, Alexander JJ. Complement and blood-brain barrier integrity. Mol Immunol. 2014;61:149–152. doi: 10.1016/j.molimm.2014.06.039.
    1. Brouwer MC, Baas F, van der Ende A, van de Beek D. Genetic variation and cerebrospinal fluid levels of mannose binding lectin in pneumococcal meningitis patients. PLoS One. 2013;8:e65151. doi: 10.1371/journal.pone.0065151.
    1. Shen L, Zheng J, Wang Y, et al. Increased activity of the complement system in cerebrospinal fluid of the patients with Non-HIV Cryptococcal meningitis. BMC Infect Dis. 2017;17:7. doi: 10.1186/s12879-016-2107-9.
    1. Kjaeldgaard AL, Pilely K, Olsen KS, et al. Amyotrophic lateral sclerosis: The complement and inflammatory hypothesis. Mol Immunol. 2018;102:14–25. doi: 10.1016/j.molimm.2018.06.007.
    1. Alexander JJ. Blood-brain barrier (BBB) and the complement landscape. Mol Immunol. 2018;102:26–31. doi: 10.1016/j.molimm.2018.06.267.
    1. Runza VL, Schwaeble W, Mannel DN. Ficolins: novel pattern recognition molecules of the innate immune response. Immunobiology. 2008;213:297–306. doi: 10.1016/j.imbio.2007.10.009.
    1. Honore C, Rorvig S, Munthe-Fog L, et al. The innate pattern recognition molecule Ficolin-1 is secreted by monocytes/macrophages and is circulating in human plasma. Mol Immunol. 2008;45:2782–2789. doi: 10.1016/j.molimm.2008.02.005.
    1. De Blasio D, Fumagalli S, Orsini F, et al. Human brain trauma severity is associated with lectin complement pathway activation. J Cereb Blood Flow Metab. 2019;39:794–807. doi: 10.1177/0271678X18758881.
    1. Pedersen ED, Loberg EM, Vege E, Daha MR, Maehlen J, Mollnes TE. In situ deposition of complement in human acute brain ischaemia. Scand J Immunol. 2009;69:555–562. doi: 10.1111/j.1365-3083.2009.02253.x.
    1. Huang J, Kim LJ, Mealey R, et al. Neuronal protection in stroke by an sLex-glycosylated complement inhibitory protein. Science. 1999;285:595–599. doi: 10.1126/science.285.5427.595.
    1. Mocco J, Mack WJ, Ducruet AF, et al. Complement component C3 mediates inflammatory injury following focal cerebral ischemia. Circ Res. 2006;99:209–217. doi: 10.1161/01.RES.0000232544.90675.42.
    1. Imm MD, Feldhoff PW, Feldhoff RC, Lassiter HA. The administration of complement component C9 augments post-ischemic cerebral infarction volume in neonatal rats. Neurosci Lett. 2002;325:175–178. doi: 10.1016/S0304-3940(02)00271-9.
    1. Orsini F, Fumagalli S, Csaszar E, et al. Mannose-binding lectin drives platelet inflammatory phenotype and vascular damage after cerebral ischemia in mice via IL (Interleukin)-1alpha. Arterioscler Thromb Vasc Biol. 2018;38:2678–2690. doi: 10.1161/ATVBAHA.118.311058.
    1. Chou SH, Macdonald RL, Keller E, Unruptured Intracranial A, Investigators SCP. Biospecimens and molecular and cellular biomarkers in aneurysmal subarachnoid hemorrhage studies: common data elements and standard reporting recommendations. Neurocrit Care. 2019;30:46–59. doi: 10.1007/s12028-019-00725-4.
    1. Amara U, Flierl MA, Rittirsch D, et al. Molecular intercommunication between the complement and coagulation systems. J Immunol. 2010;185:5628–5636. doi: 10.4049/jimmunol.0903678.
    1. Krzyzewski RM, Klis KM, Kwinta BM, Stachura K, Guzik TJ, Gasowski J. High Leukocyte Count and Risk of Poor Outcome After Subarachnoid Hemorrhage: A Meta-Analysis. World Neurosurg. 2020;135:e541–e547. doi: 10.1016/j.wneu.2019.12.056.
    1. Schuss P, Hadjiathanasiou A, Brandecker S, Guresir A, Vatter H, Guresir E. Elevated C-reactive protein and white blood cell count at admission predict functional outcome after non-aneurysmal subarachnoid hemorrhage. J Neurol. 2018;265:2944–2948. doi: 10.1007/s00415-018-9091-5.
    1. Mounier R, Birnbaum R, Cook F, et al. Natural history of ventriculostomy-related infection under appropriate treatment and risk factors of poor outcome: a retrospective study. J Neurosurg. 2018:1–10.
    1. Jaja BNR, Saposnik G. Lingsma HF, et al. Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study. 2018;360:j5745.

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