Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Association Study of Mannose-Binding Lectin Levels and Genetic Variants in Lectin Pathway Proteins with Susceptibility to Age-Related Macular Degeneration: A Case-Control Study

  • Michael Osthoff ,

    michael.osthoff@usb.ch

    Affiliations Victorian Infectious Diseases Service at the Doherty Institute, Melbourne Health, Melbourne, Victoria, Australia, Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia, Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland

  • Melinda M. Dean,

    Affiliation Research and Development, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia

  • Paul N. Baird,

    Affiliation Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia

  • Andrea J. Richardson,

    Affiliation Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia

  • Mark Daniell,

    Affiliation Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia

  • Robyn H. Guymer,

    Affiliation Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia

  • Damon P. Eisen

    Affiliations Victorian Infectious Diseases Service at the Doherty Institute, Melbourne Health, Melbourne, Victoria, Australia, Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia

Abstract

Background

In age-related macular degeneration (AMD) the complement system is thought to be activated by chronic oxidative damage with genetic variants identified in the alternative pathway as susceptibility factors. However, the involvement of the lectin pathway of complement, a key mediator of oxidative damage, is controversial. This study investigated whether mannose-binding lectin (MBL) levels and genetic variants in lectin pathway proteins, are associated with the predisposition to and severity of AMD.

Methods

MBL levels and single nucleotide polymorphisms (SNPs) in the MBL2 and the ficolin-2 (FCN2) gene were determined in 109 patients with AMD and 109 age- and sex-matched controls.

Results

MBL expression levels were equally distributed in both cases (early and late AMD) and controls (p>0.05). However, there was a trend towards higher median MBL levels in cases with late AMD compared to cases with early AMD (1.0 vs. 0.4 μg/ml, p = 0.09) and MBL deficiency (<0.5 μg/ml) was encountered less frequently in the late AMD group (35% vs 56%, p = 0.03). FCN2 and MBL2 allele frequencies were similarly distributed in early and late AMD cases compared with controls (p>0.05 for all analyses) as were MBL2 genotypes. Similarly, there was no significant difference in allele frequencies in any SNPs in either the MBL2 or FCN2 gene in cases with early vs. late AMD.

Conclusions

SNPs of lectin pathway proteins investigated in this study were not associated with AMD or AMD severity. However, MBL levels deserve further study in a larger cohort of early vs. late AMD patients to elucidate any real effect on AMD severity.

Introduction

Age-related macular degeneration (AMD) is the leading cause of progressive loss of central vision and ultimately severe vision impairment in the elderly population of developed countries. With the overall ageing of the population, its prevalence is expected to increase by at least 50% in the next 10 years [1]. Approximately 30% of persons over 75 years of age have some signs of AMD, and about 6% of persons in this age group suffer from the most advanced forms of AMD [2]. The early stage of the disease is characterized by a thickening of Bruch’s membrane and accumulation of deposits in the central retina (macula), beneath the retinal pigment epithelium (RPE), called drusen. Ongoing deposition and subsequent inflammation result in two advanced forms: geographic atrophy (dry AMD) with loss of RPE and photoreceptors, and choroidal neovascularisation (wet AMD) with leaking choroidal vessels invading the retina, both leading to an irreversible loss of central vision without treatment [3].

Both genetic and environmental factors (e.g. smoking and diet) have been implicated in this complex disease (reviewed in [4]). Regarding genetics, dysregulated local complement activation and subsequent chronic inflammation are considered to play an essential role in the pathogenesis of AMD (reviewed in [2]). Indeed, genome-wide and targeted linkage studies have identified several components of the complement system as major susceptibility loci for the development of AMD [57]. Besides a strong genetic association of mutations in the regulatory/inhibitory proteins of the alternative pathway (complement factor H and B, and Factor H-like protein) with AMD there is also evidence demonstrating an involvement of several other components of the complement system (e.g. C2, C3, complement factor H related proteins), that either intensify complement attacks, slow complement activation, or alter other control proteins, in addition to molecules from the cholesterol and angiogenesis pathway [4,8]. Hence, the genetic complexity of AMD is much greater than initially thought. Additionally, certain pathogens (like Chlamydia pneumoniae or Cytomegalovirus) have been implicated in the pathogenesis of AMD (by inducing a chronic inflammatory state) [9,10] and in AMD disease progression when in the presence of the CC risk genotype of the single nucleotide polymorphism (SNP) rs1061170 (Y402H) [11].

Although the current understanding of the pathogenesis of AMD is that chronic oxidative damage over time perpetuates a chronic inflammatory state via activation of the complement cascade, it remains to be determined which tissue ligands trigger complement activation and which components of the complement system are actually responsible for the damage.

Activation of the complement cascade is possible via one of three pathways, the classical, the lectin, and the alternative pathway, the latter one having a crucial role in amplifying complement activation. The lectin pathway is activated after binding of mannose-binding lectin (MBL) or ficolins (ficolin-1, -2, and -3) to pathogens or dying cells with subsequent activation of MBL-associated serine protease-1 and -2 and assembly of the C3 convertase [12]. Inter-individual serum concentrations of these pattern recognition receptors vary to a certain degree with MBL showing the greatest range (from undetectable to about 10 ug/ml) [13]. Well characterized polymorphisms in the exon and promoter region of the MBL2 gene on chromosome 10 are responsible for the remarkable variations in serum MBL concentration in healthy individuals [14]. Notably, almost a third of the population worldwide display moderate to severe MBL deficiency[14]. Similarly, a number of major polymorphisms have been described for the ficolin-2 gene (FCN2) with a much weaker genotypic/phenotypic relationship than is the case for MBL [15]. Both MBL and ficolins have been shown to be involved in the binding and removal of certain pathogens and dying cells leading to complement activation in an antibody- and complement C1q independent manner [1619]. Hence, MBL deficiency and/or low ficolin levels might lead to an impaired clearance of apoptotic debris or certain pathogens in AMD and consequently to sustained inflammation with activation of other complement pathways. However, a recent study has identified an antithetical involvement of the lectin pathway in AMD. In an in vitro model of oxidatively stressed RPE cells, the lectin pathway was found to be crucial in triggering activation of the complement cascade after binding to natural IgM antibodies bound to neoepitopes with subsequent amplification via the alternative pathway, whereas the classical pathways was not involved [20]. Comparable data in human AMD are scarce and essentially limited to a single study by Dinu V. et al., which identified a single nucleotide polymorphisms in the MBL2 gene locus in a focused, pathway-based (instead of a genome-wide) association study, that was associated with an increased risk to develop wet AMD[21]. Given the potential involvement of the lectin pathway in the pathogenesis of AMD and the limited evidence from previous human studies we investigated the role of two lectin pathway pattern recognition receptors, MBL and ficolin-2, in the predisposition to AMD in a case-control study.

Patients and Methods

Ethics Statement

This matched case-control study was approved by both the Melbourne Health and the Royal Victorian Eye and Ear Hospital Human Research and Ethics Committees and all participants gave written informed consent for the study.

Participants

136 individuals with AMD were recruited at the Centre for Eye Research Australia and 132 individuals with a similar age range but without evidence of AMD were recruited either at the Centre for Eye Research Australia or at the Royal Melbourne Hospital cataract surgery clinics. Subsequently, AMD cases and controls were matched for age (within 5 years) and sex, yielding a cohort of 109 participants in each group for primary analyses.

AMD detection and definition

Digital non-stereoscopic fundus photography of the macular and optic disc was performed and graded in all subjects as described previously [22]. Participants were categorized on the status of the worse affected eye. Controls demonstrated bilateral normal fundi without evidence of drusen of any size. Exclusion criteria for both groups included: glaucoma, significant cataracts, any corneal pathology that could compromise vision, diabetes, uncontrolled hypertension, amblyopia, neurological or systemic disease affecting vision or any medication known to affect the retina. All cases with the early stages of AMD had intermediate AMD with the presence of drusen > 125 μm, with or without the presence of pigmentary abnormalities. Evidence of choroidal neovascularization (CNV), geographic atrophy or a disciform scar qualified for a diagnosis of late AMD [23].

Definition of endpoints

The main aim of this exploratory study was to compare the frequency of MBL deficiency (defined as serum MBL levels < 0.5 μg/ml) in cases and controls [24]. As genetic material was available in the same subjects associations of MBL2 and FCN2 SNPs with AMD susceptibility and severity were investigated.

Determination of MBL plasma levels

Quantification of serum MBL levels was performed by an investigator blinded to any patient data using a mannan-binding enzyme-linked immunosorbent assay as previously described [25]. Briefly, mannan-coated microtitre plates were incubated with samples at 1:25 and 1:100 dilutions for 90 min at room temperature followed by detection of bound MBL with a biotinylated monoclonal anti-MBL antibody (HYB 131–01, BioPorto Diagnostics, Denmark). After incubation with ExtrAvidin peroxidase conjugate (Sigma-Aldrich, Australia), plates were developed with TMB substrate solutions (BD OptEIA, BD Biosciences, Australia), stopped with 1 M H2SO4 (Sigma-Aldrich, Australia) and read immediately on a Bio-Rad plate reader (Bio-Rad, Australia). MBL levels were calculated against a standard pool serum (BioPorto Diagnostics, Denmark). MBL deficiency was defined as serum level < 0.5 μg/ml and, severe as < 0.1 μg/ml, respectively [26].

MBL2 and ficolin-2 genotyping

MBL2 and FCN2 promoter and exon SNPs were determined by allele specific polymerase chain reaction (PCR) using TaqMan fluorescent probes (TaqMan genotyping assays, Life Technologies, Australia). For assay details, see S1 Table. Stored genomic DNA was used for all cases and all controls recruited at the Centre for Eye Research Australia. For controls recruited at the Royal Melbourne Hospital, DNA lysates were prepared from 2μl of stored buffy coat according to the manufacturer’s instruction (TaqMan Sample-to-SNP, Life Technologies, Australia), and stored genomic DNA was used for all cases. For all TaqMan assays, DNA amplification was carried out in 5μL volume reactions containing 1μl of DNA lysate or 20ng of genomic DNA, 0.25μl TaqMan genotyping assay mix, 2.5μl TaqMan GTXpress Master Mix (Life Technologies, Australia) and 1.25μl DNase-free water. All reactions were performed in 384-well plates and in the ViiA 7 thermocycler (Life Technologies, Australia) according to the manufacturer’s instructions. For allelic discrimination end-point fluorescence was read at 25°C, and the ViiA 7 software was used to analyze the results (Life Technologies, Australia).

MBL2 SNPs were chosen on the basis of their remarkable impact on MBL levels compared to other promoter or exon polymorphisms. MBL2 genotypes were classified as low (XA/YO, YO/YO), intermediate (XA/XA, YA/YO) or high (YA/YA, XA/YA) producing genotypes according to published literature [24] with exon 1 variant alleles (rs1800450 (codon 54), rs1800451 (codon 57) or rs5030737 (codon 52)) collectively designated as O and the wild-type allele as A, and the promoter variant and the wild-type allele (rs7096206 (-221 X/Y)) designated as X and Y, respectively. Common FCN2 promoter and exon SNPs were analyzed separately and combined as haplotype [27].

Statistical analysis

This study sample was powered to detect an increase in the frequency of MBL deficiency (defined as MBL serum levels < 0.5 μg/ml) by a factor of 2.3 in AMD cases similar to the study of C3 polymorphisms and AMD susceptibility [28] with an expected frequency of MBL deficiency in the control population of 25% at the 5% level of significance.

To investigate MBL and ficolin-2 as potential risk factors for AMD, matched univariate analysis was performed by running conditional logistic regression on one variable at a time with AMD as the dependent variable. In addition, Wilcoxon signed-rank test was applied to compare MBL levels in cases and matched controls. Haplotype frequencies were analyzed by expectation-maximum algorithm.

We used Pearson's chi-square test for comparisons of categorical variables and allele and genotype frequencies and to check for Hardy–Weinberg equilibrium. For AMD severity analysis MBL levels were analyzed using the Mann-Whitney-U-Test. All testing was two-tailed. Haplotype and linkage disequilibrium analysis was carried out with the Haploview program (version 4.2). All other analyses were performed using SPSS statistics, version 17.0 (SPSS Inc., USA).

Results

Baseline characteristics

136 cases and 132 controls were genotyped for the MBL and FCN2 genes. After matching for age and gender, the final study population consisted of 109 cases and controls. The mean age (standard deviation) was 76.2 (8.7) years in cases and 75.0 (8.1) in controls with 62.4% being female in both groups. Cases comprised 34 (31%) patients with neovascular AMD in their worst eye, 20 (18%) patients with geographic atrophy in their worst eye, and 55 (51%) patients with signs of the early stages of AMD had intermediate AMD in their worst eye. Two individuals did not have a final grading but were deemed to have AMD at some level. Controls had no signs of AMD on retinal photography.

Cases and controls were all successfully genotyped at 4 loci in the MBL2 gene and 6 loci in the FCN2 gene, and allele frequencies at all positions were in agreement with the predicted Hardy-Weinberg equilibrium (S1 Table) (p>0.05). As expected median, MBL levels significantly correlated with MBL2 genotypes (<0.001 (interquartile range (IQR) 0–0.001) for low (XA/YO, YO/YO), 0.3 (IQR 0.2–0.8) for intermediate (XA/XA, YA/YO), and 1.6 (1.0–2.4) for high (YA/YA, XA/YA) producing MBL2 genotypes, p<0.001).

MBL and ficolin-2 and age-related macular degeneration

Median MBL levels were similar in cases and controls (0.7 (IQR 0.2–1.6) vs. 0.7 (IQR 0.1–1.7) μg/ml, respectively, p = 0.9) as was the frequency of moderate and severe MBL deficiency (46 vs. 43%, respectively, p = 0.7 and 19 vs. 23%, respectively, p = 0.5).

Frequencies of MBL2 exon or promoter variant alleles and genotypes did not differ significantly between AMD cases (early and late) and controls (Table 1). Similarly, FCN2 haplotypes and variant alleles were equally distributed with the exception of the variant haplotype AGAGTG (−986G> A, −602G>A, −557A>G, −4A>G +6359 C>T and +6424 G>T), which was less frequently observed in cases (Table 2). When cases with advanced AMD, i.e. neovascular or geographic atrophy, were grouped together and compared with controls, none of the loci were found to be significant at the p = 0.05 level (data not shown). Comparison of the intermediate AMD cases with controls also demonstrated that none of the loci at either gene were significant at the p = 0.05 level (data not shown).

thumbnail
Table 1. Analysis of MBL levels and MBL2 polymorphisms in AMD cases and controls.

https://doi.org/10.1371/journal.pone.0134107.t001

thumbnail
Table 2. Analysis of FCN2 polymorphisms in AMD cases and controls.

https://doi.org/10.1371/journal.pone.0134107.t002

With regards to AMD severity there was no significant difference in MBL2 allele and FCN2 allele or haplotype frequencies in cases with early vs. late AMD (data not shown). However, there was a trend towards higher MBL levels in cases with late AMD compared to participants with early AMD changes (1.0 (IQR 0.3–1.9) vs. 0.4 (IQR 0.1–1.4) μg/ml, p = 0.09), and MBL deficiency (<0.5 μg/ml) was encountered less frequently in the late AMD group (19 (35%) vs 31 (56%), p = 0.03).

Overall, the above results were similar when analyzing the entire, unmatched cohort of 136 cases and 132 controls (data not shown).

Discussion

The lectin pathway of complement has been implicated in the pathogenesis of AMD in several experimental models [20,29,30]. This is the first human study designed to examine the role of two lectin pathway pattern recognition molecules, MBL and ficolin-2, in the predisposition to and severity of AMD, exclusively.

Despite previous experimental studies that were the basis for our a priori hypotheses, we did not demonstrate any relevant associations of SNPs in the MBL2 or FCN2 gene or MBL protein levels with the early stages or late AMD in our matched case-control study. Similarly, MBL2 and FCN-2 polymorphisms had no influence on the severity of AMD in our cohort.

However, there was a non-significant trend towards higher MBL levels in cases with late AMD compared to early AMD corresponding to a significantly lower frequency of MBL deficiency.

This is in contrast to a complement pathway-focused association study by Dinu V et al., who identified a SNP in the intron region of the MBL2 gene as being able to differentiate between early and late AMD [21]. The MBL2 SNP identified in that study as being associated with AMD severity has neither been shown to influence serum MBL levels nor associate with other diseases such as colon cancer or breast cancer [31,32]. For these reasons we did not screen for this SNP in our cohort.

In addition, two experimental studies have demonstrated that the lectin pathway is at least partly responsible for complement activation in AMD in vitro and rodent models [20,29]. In the study by Joseph K et al., MBL and ficolins (mainly ficolin-1 and -3) were shown to be capable of activating the lectin pathway of complement after binding to natural antibodies attached to oxidatively stressed RPE cells with the alternative pathway acting as an amplification loop [20].

Several reasons might account for our inability to find an association of MBL deficiency and/or MBL2/FCN2 polymorphisms in the present study. First, the lectin pathway, and MBL and ficolin-2 in particular, might indeed not be involved in the pathogenesis of AMD. This is supported by several genome-wide association studies that have not found a significant association in the region of those two genes [5,33,34]. Second, AMD is a complex disease with multiple environmental and genetic factors involved. Hence, previous in vitro and rodent models that have demonstrated a role of the lectin pathway in AMD, might not have been able to account for the complexity of human AMD. Third, our study was only powered to detect a 2.3-fold difference in the frequency of MBL deficiency defined as serum levels < 0.5 μg/ml (which was more frequent in controls than expected). Our negative result and insufficient power influenced our decision to not include other important genetic and environmental factors in our analysis for controls recruited at one site. This may have biased our results. SNPs involving the lectin pathway might still have some influence in AMD risk but at a lower frequency than that which we were powered to detect. It is still important to search for these rare haplotypes as they may provide important information about pathways and mechanisms involved in AMD pathogenesis [35],[36,37].

In this regard, a trend for higher MBL levels and a significantly lower frequency of MBL deficiency in the late AMD group is of interest. This finding was contrary to our hypothesis but might be worth exploring in larger cohorts as experimental studies have suggested that complement activation initiated by the lectin pathway potentiates retinal damage [20,29]. There is clearly plentiful evidence to suggest the involvement of the complement system in the pathogenesis of AMD. However, the exact mechanism of involvement remains to be elucidated.

Limitations of our study include the sample size, in particular of advanced cases of AMD and the absence of phenotypic ficolin-2 testing in our cohort. Although there is a significant correlation of FCN2 genotypes with ficolin-2 serum levels, the ability of FCN2 genotyping to predict serum concentrations is limited [15]. Hence, we cannot exclude an influence of ficolin-2 at the phenotypic level in AMD given that the variant FCN2 haplotype AGAGTG was less common in AMD cases. In addition, we limited our analysis to two pattern recognition receptors of the lectin pathway. Ideally, future AMD association studies should include other important lectin pathway proteins like ficolin-1 and -3 and MASP-1 and -2. We were not able to match for important environmental risk factors like smoking in our study which might have biased our results. We were not able to provide data on the activation state of the complement system in cases and controls which could influenced MBL levels[38].

In conclusion, we were not able to find any evidence from our matched case-control study to support a relevant role for SNPs in either the MBL2 or FCN2 genes in the predisposition to and severity of AMD. We have not excluded a rarer association with AMD. Due to our observation of lower MBL levels in less severe AMD cases future studies are needed to validate this association and determine if indeed the lectin pathway of complement is ultimately involved in the pathogenesis of AMD.

Supporting Information

S1 File. Data file of matched case-control cohort.

https://doi.org/10.1371/journal.pone.0134107.s001

(XLSX)

S1 Table. Taqman genotyping assay details including results of testing for Hardy-Weinberg equilibrium.

https://doi.org/10.1371/journal.pone.0134107.s002

(DOC)

Acknowledgments

We are grateful to all individuals who participated in the current study and to Fiona Richter and Elizabeth Dang for collection of blood samples.

Author Contributions

Conceived and designed the experiments: PNB MD RHG DPE. Performed the experiments: MO MMD AJR. Analyzed the data: MO PNB DPE RHG. Contributed reagents/materials/analysis tools: MMD AJR MD. Wrote the paper: MO DPE PNB RHG MD MMD AJR.

References

  1. 1. Wong WL, Su X, Li X, Cheung CM, Klein R, Cheng CY, et al. (2014) Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health 2: e106–116. pmid:25104651
  2. 2. Gehrs KM, Jackson JR, Brown EN, Allikmets R, Hageman GS (2010) Complement, age-related macular degeneration and a vision of the future. Arch Ophthalmol 128: 349–358. pmid:20212207
  3. 3. Anderson DH, Mullins RF, Hageman GS, Johnson LV (2002) A role for local inflammation in the formation of drusen in the aging eye. Am J Ophthalmol 134: 411–431. pmid:12208254
  4. 4. Lim LS, Mitchell P, Seddon JM, Holz FG, Wong TY (2012) Age-related macular degeneration. Lancet 379: 1728–1738. pmid:22559899
  5. 5. Klein RJ, Zeiss C, Chew EY, Tsai JY, Sackler RS, Haynes C, et al. (2005) Complement factor H polymorphism in age-related macular degeneration. Science 308: 385–389. pmid:15761122
  6. 6. Maller JB, Fagerness JA, Reynolds RC, Neale BM, Daly MJ, Seddon JM. (2007) Variation in complement factor 3 is associated with risk of age-related macular degeneration. Nat Genet 39: 1200–1201. pmid:17767156
  7. 7. Gold B, Merriam JE, Zernant J, Hancox LS, Taiber AJ, Gehrs K, et al. (2006) Variation in factor B (BF) and complement component 2 (C2) genes is associated with age-related macular degeneration. Nat Genet 38: 458–462. pmid:16518403
  8. 8. Zipfel PF, Lauer N, Skerka C (2010) The role of complement in AMD. Adv Exp Med Biol 703: 9–24. pmid:20711704
  9. 9. Miller DM, Espinosa-Heidmann DG, Legra J, Dubovy SR, Suner IJ, Sedmak DD, et al. (2004) The association of prior cytomegalovirus infection with neovascular age-related macular degeneration. Am J Ophthalmol 138: 323–328. pmid:15364212
  10. 10. Shen D, Tuo J, Patel M, Herzlich AA, Ding X, Chew EY, et al. (2009) Chlamydia pneumoniae infection, complement factor H variants and age-related macular degeneration. Br J Ophthalmol 93: 405–408. pmid:18996904
  11. 11. Baird PN, Robman LD, Richardson AJ, Dimitrov PN, Tikellis G, McCarty CA, et al. (2008) Gene-environment interaction in progression of AMD: the CFH gene, smoking and exposure to chronic infection. Hum Mol Genet 17: 1299–1305. pmid:18203751
  12. 12. Kjaer TR, Thiel S, Andersen GR (2013) Toward a structure-based comprehension of the lectin pathway of complement. Mol Immunol 56: 413–422. pmid:23911397
  13. 13. Sallenbach S, Thiel S, Aebi C, Otth M, Bigler S, Jensenius JC, et al. (2011) Serum concentrations of lectin-pathway components in healthy neonates, children and adults: mannan-binding lectin (MBL), M-, L-, and H-ficolin, and MBL-associated serine protease-2 (MASP-2). Pediatr Allergy Immunol 22: 424–430. pmid:21226765
  14. 14. Garred P, Larsen F, Seyfarth J, Fujita R, Madsen HO (2006) Mannose-binding lectin and its genetic variants. Genes Immun 7: 85–94. pmid:16395391
  15. 15. Kilpatrick DC, St Swierzko A, Matsushita M, Domzalska-Popadiuk I, Borkowska-Klos M, Szczapa J, et al. (2013) The relationship between FCN2 genotypes and serum ficolin-2 (L-ficolin) protein concentrations from a large cohort of neonates. Hum Immunol 74: 867–871. pmid:23619474
  16. 16. Nauta AJ, Raaschou-Jensen N, Roos A, Daha MR, Madsen HO, Borrias-Essers MC, et al. (2003) Mannose-binding lectin engagement with late apoptotic and necrotic cells. Eur J Immunol 33: 2853–2863. pmid:14515269
  17. 17. Kuraya M, Ming Z, Liu X, Matsushita M, Fujita T (2005) Specific binding of L-ficolin and H-ficolin to apoptotic cells leads to complement activation. Immunobiology 209: 689–697. pmid:15804047
  18. 18. Eisen DP, Minchinton RM (2003) Impact of mannose-binding lectin on susceptibility to infectious diseases. Clin Infect Dis 37: 1496–1505. pmid:14614673
  19. 19. Kilpatrick DC, Chalmers JD (2012) Human L-ficolin (ficolin-2) and its clinical significance. J Biomed Biotechnol 2012: 138797. pmid:22500076
  20. 20. Joseph K, Kulik L, Coughlin B, Kunchithapautham K, Bandyopadhyay M, Thiel S, et al. (2013) Oxidative stress sensitizes retinal pigmented epithelial (RPE) cells to complement-mediated injury in a natural antibody-, lectin pathway-, and phospholipid epitope-dependent manner. J Biol Chem 288: 12753–12765. pmid:23493397
  21. 21. Dinu V, Miller PL, Zhao H (2007) Evidence for association between multiple complement pathway genes and AMD. Genet Epidemiol 31: 224–237. pmid:17266113
  22. 22. Adams MK, Simpson JA, Aung KZ, Makeyeva GA, Giles GG, English DR, et al. (2011) Abdominal obesity and age-related macular degeneration. Am J Epidemiol 173: 1246–1255. pmid:21422060
  23. 23. van Leeuwen R, Klaver CC, Vingerling JR, Hofman A, de Jong PT (2003) The risk and natural course of age-related maculopathy: follow-up at 6 1/2 years in the Rotterdam study. Arch Ophthalmol 121: 519–526. pmid:12695249
  24. 24. Eisen DP, Dean MM, Boermeester MA, Fidler KJ, Gordon AC, Kronborg G, et al. (2008) Low serum mannose-binding lectin level increases the risk of death due to pneumococcal infection. Clin Infect Dis 47: 510–516. pmid:18611155
  25. 25. Minchinton RM, Dean MM, Clark TR, Heatley S, Mullighan CG (2002) Analysis of the relationship between mannose-binding lectin (MBL) genotype, MBL levels and function in an Australian blood donor population. Scand J Immunol 56: 630–641. pmid:12472676
  26. 26. Heitzeneder S, Seidel M, Forster-Waldl E, Heitger A (2012) Mannan-binding lectin deficiency—Good news, bad news, doesn't matter? Clin Immunol 143: 22–38. pmid:22377282
  27. 27. Ouf EA, Ojurongbe O, Akindele AA, Sina-Agbaje OR, Van Tong H, Adeyeba AO, et al. (2012) Ficolin-2 levels and FCN2 genetic polymorphisms as a susceptibility factor in schistosomiasis. J Infect Dis 206: 562–570. pmid:22693230
  28. 28. Yates JR, Sepp T, Matharu BK, Khan JC, Thurlby DA, Shahid H, et al. (2007) Complement C3 variant and the risk of age-related macular degeneration. N Engl J Med 357: 553–561. pmid:17634448
  29. 29. Rohrer B, Coughlin B, Kunchithapautham K, Long Q, Tomlinson S, Takahashi K, et al. (2011) The alternative pathway is required, but not alone sufficient, for retinal pathology in mouse laser-induced choroidal neovascularization. Mol Immunol 48: e1–8. pmid:21257205
  30. 30. Rutar M, Natoli R, Kozulin P, Valter K, Gatenby P, Provis JM. (2011) Analysis of complement expression in light-induced retinal degeneration: synthesis and deposition of C3 by microglia/macrophages is associated with focal photoreceptor degeneration. Invest Ophthalmol Vis Sci 52: 5347–5358. pmid:21571681
  31. 31. Zanetti KA, Haznadar M, Welsh JA, Robles AI, Ryan BM, McClary AC, et al. (2012) 3'-UTR and functional secretor haplotypes in mannose-binding lectin 2 are associated with increased colon cancer risk in African Americans. Cancer Res 72: 1467–1477. pmid:22282660
  32. 32. Bernig T, Boersma BJ, Howe TM, Welch R, Yadavalli S, Staats B, et al. (2007) The mannose-binding lectin (MBL2) haplotype and breast cancer: an association study in African-American and Caucasian women. Carcinogenesis 28: 828–836. pmid:17071626
  33. 33. Fritsche LG, Chen W, Schu M, Yaspan BL, Yu Y, Thorleifsson G, et al. (2013) Seven new loci associated with age-related macular degeneration. Nat Genet 45: 433–439, 439e431-432. pmid:23455636
  34. 34. Cipriani V, Leung HT, Plagnol V, Bunce C, Khan JC, Shahid H, et al. (2012) Genome-wide association study of age-related macular degeneration identifies associated variants in the TNXB-FKBPL-NOTCH4 region of chromosome 6p21.3. Hum Mol Genet 21: 4138–4150. pmid:22694956
  35. 35. Gu BJ, Baird PN, Vessey KA, Skarratt KK, Fletcher EL, Fuller SJ, et al. (2013) A rare functional haplotype of the P2RX4 and P2RX7 genes leads to loss of innate phagocytosis and confers increased risk of age-related macular degeneration. FASEB J 27: 1479–1487. pmid:23303206
  36. 36. Maller J, George S, Purcell S, Fagerness J, Altshuler D, Daly MJ, et al. (2006) Common variation in three genes, including a noncoding variant in CFH, strongly influences risk of age-related macular degeneration. Nat Genet 38: 1055–1059. pmid:16936732
  37. 37. Naj AC, Scott WK, Courtenay MD, Cade WH, Schwartz SG, Kovach JL, et al. (2013) Genetic factors in nonsmokers with age-related macular degeneration revealed through genome-wide gene-environment interaction analysis. Ann Hum Genet 77: 215–231. pmid:23577725
  38. 38. Herpers BL, Endeman H, de Jong BA, de Jongh BM, Grutters JC, Biesma DH, et al. (2009) Acute-phase responsiveness of mannose-binding lectin in community-acquired pneumonia is highly dependent upon MBL2 genotypes. Clin Exp Immunol 156: 488–494. pmid:19438602