Figures
Abstract
Sphingolipids are bioactive molecules associated with oxidative stress, inflammation, and neurodegenerative diseases, but poorly studied in the context of age-related macular degeneration (AMD), a prevalent sight-threatening disease of the ageing retina. Here, we found higher serum levels of hexosylceramide (HexCer) d18:1/16:0 in patients with choroidal neovascularization (CNV) and geographic atrophy (GA), two manifestations of late stage AMD, and higher ceramide (Cer) d18:1/16:0 levels in GA patients. A sensitivity analysis of genetic variants known to be associated with late stage AMD showed that rs1061170 (p.Y402H) in the complement factor H (CFH) gene influences the association of Cer d18:1/16:0 with GA. To understand the possible influence of this genetic variant on ceramide levels, we established a cell-based assay to test the modulation of genes in the ceramide metabolism by factor H-like protein 1 (FHL-1), an alternative splicing variant of CFH that also harbors the 402 residue. We first showed that malondialdehyde-acetaldehyde adducts, an oxidation product commonly found in AMD retinas, induces an increase in ceramide levels in WERI-Rb1 cells in accordance with an increased expression of ceramide synthesis genes. Then, we observed that cells exposed to the non-risk FHL-1:Y402, but not the risk associated variant FHL-1:H402 or full-length CFH, downregulated ceramide synthase 2 and ceramide glucosyltransferase gene expression. Together, our findings show that serum ceramide and hexosylceramide species are altered in AMD patients and that ceramide levels may be influenced by AMD associated risk variants.
Citation: Pujol-Lereis LM, Liebisch G, Schick T, Lin Y, Grassmann F, Uchida K, et al. (2018) Evaluation of serum sphingolipids and the influence of genetic risk factors in age-related macular degeneration. PLoS ONE 13(8): e0200739. https://doi.org/10.1371/journal.pone.0200739
Editor: Simon J. Clark, University of Manchester, UNITED KINGDOM
Received: October 26, 2017; Accepted: July 2, 2018; Published: August 2, 2018
Copyright: © 2018 Pujol-Lereis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The work was supported by the Alexander von Humboldt Foundation and institutional funds of Titel Group 77 (Institute of Human Genetics). LMPL was supported by the Alexander von Humboldt Foundation as a Georg Forster Postdoctoral Fellow, and by a Grant for female scientists from the Bavarian State Ministry of Education and Cultural Affairs, Science and the Arts, and is now supported by The National Scientific and Technical Research Council (CONICET) from Argentina. F. Hoffmann - La Roche provided support in the form of salary for Dr. Sascha Fauser, but did not have any additional role in the study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of the authors are articulated in the 'author contributions' section.
Competing interests: The affiliation of Dr. Sascha Fauser to F. Hoffmann - La Roche does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
Introduction
Age-related macular degeneration (AMD) is a multifactorial progressive disease of the central retina and the leading cause of blindness in developed countries in people over 60 years of age [1]. There are two forms of late stage AMD including the non-exudative form, also known as geographic atrophy (GA), and the exudative form. Pathological changes leading to GA are characterized by drusen, which are deposits of lipids and proteins, loss of retinal pigment epithelium (RPE), and gradual degeneration of the outer layers of the neurosensory retina, together with atrophy of the choriocapillaris [2]. The hallmark of exudative AMD is choroidal neovascularization (CNV), which involves mainly the formation of new blood vessels typically growing from the choroid through Bruch’s membrane and the RPE.
Strong genetic risk factors for AMD were found in the complement factor H (CFH) gene locus [3–5], and the age-related maculopathy susceptibility 2/ HtrA serine peptidase 1 (ARMS2/HTRA1) interval [6–8]. Although with lower effect sizes, several lipid pathway genes have also been significantly associated with AMD risk, including apolipoprotein E (APOE), cholesteryl ester transfer protein (CETP), hepatic triglyceride lipase (LIPC), ATP-binding cassette transporter A-1 (ABCA1), ABCA7, lipoprotein lipase (LPL), and fatty acid desaturase 1 (FADS1) [9–11]. The proteins encoded by these genes are involved in lipid transport between lipoproteins and from lipoproteins to tissues/cells, and vice-versa. The fact that lipoproteins and cholesterol are major constituents of drusen has motivated previous studies to investigate into circulatory lipid levels of AMD patients. Contradictory results were reported regarding the association of HDL-cholesterol, LDL-cholesterol, total cholesterol and triglycerides levels with AMD status, and some studies even failed to find an association altogether [12–28]. Regarding circulating fatty acids, higher levels of total n3 fatty acids, α-linolenic acid (18:3-n3) and long chain n3 fatty acids were associated with a reduced risk for late AMD, with no significant association of docosahexaenoic acid (22:6-n3) or eicosapentanoic acid (20:5-n3) [29]. A subsequent study showed an association of circulating eicosapentanoic acid with lower risk for CNV [30]. Besides unesterified cholesterol and triglycerides, other lipid classes present in lipoproteins are phospholipids, cholesteryl esters, and sphingolipids such as sphingomyelins (SM) and ceramides [31].
Many sphingolipids are bioactive molecules and participate in signaling pathways involved in apoptosis, autophagy, inflammation, and stress response [32–34]. Ceramide can activate inflammatory pathways via induction of transcription factor families such as nuclear factor-kB (NF-kB) [35], and CCAAT/enhancer binding proteins (c/EBP) [36], which in turn induce genes encoding cytokines, chemokines and pro-inflammatory enzymes. It was also demonstrated that exogenous ceramides can induce oxidative stress and apoptosis in human RPE cells, an effect that can partially be prevented by antioxidants [37]. In the context of neurological disorders, a pioneering study showed that serum SM and ceramides were suited to predict cognitive impairment, and ceramide (Cer) d18:1/16:0 and stearoyl ceramides predicted impairment on delayed and immediate memory recall, and psychomotor speed [38]. Subsequently, Cer d18:1/16:0, Cer d18:1/24:0 and lactosylceramide were associated with a higher risk of Alzheimer’s disease (AD) [39]. Also, several ceramide and hexosylceramide species were found altered in plasma of patients with sporadic Parkinson’s disease and cognitive impairment compared to controls [40]. In a non-targeted lipidomics study of plasma, lower levels of eight SM species containing long aliphatic chains, and higher levels of two ceramide species (Cer d18:1/16:0 and Cer d18:1/21:0) were observed in AD patients compared to controls [41]. In addition, plasma SM ratios were found to be associated with depression and anxiety symptoms [42].
There is limited clinical research that evaluated the role of sphingolipids in the pathogenesis of AMD. A recent case-control study examined plasmatic gangliosides, that are synthesized by sequential glycosylation of ceramides, but failed to find significant differences in the levels of these glycosphingolipids between controls, GA and CNV patients [43]. In the present study, serum levels of ceramides and SM from late stage AMD patients and healthy age-matched controls were quantified by electrospray ionization tandem mass spectrometry (ESI-MS/MS). Our main goal was to determine if serum sphingolipid levels were altered in late AMD, and to examine the influence of genetic variants previously associated with the disease. We found that specific ceramide species are elevated in patients with late stage AMD compared to controls. Interestingly, genetic variant rs1061170 (p.Y402H) in CFH and variant rs10490924 in ARMS2 tend to increase the association between Cer d18:1/16:0 and disease. Given these interesting findings, we established a cell-based assay to test the hypothesis that variant rs1061170 in CFH may be involved in regulating ceramide metabolism.
Materials and methods
Study population
A total of 373 participants above the age of 55 years from Cologne, Germany, were included in this study (The European Genetic Database, EUGENDA, www.eugenda.org). The study was performed in accordance with the tenets of the Declaration of Helsinki and the Medical Research Involving Human Subjects Act (WMO), and was approved by the local ethics committee of the University Hospital in Cologne. Informed written consent was obtained from all participants.
AMD and control status were assigned by multimodal image grading that included stereo fundus photographs, fluorescein angiograms, and spectral domain optical coherence tomograms. The grading was performed according to the standard protocol of the Cologne Image Reading Center (CIRCL) by certified graders. The classification of AMD and grading procedures were performed as described previously [44]. Demographic data were obtained by standardized interviewer assisted questionnaires.
Genetic analysis
Genomic DNA was extracted from peripheral blood samples using standard procedures. A total of ten SNPs in the ARMS2, CFH, LIPC, CETP, APOE, FADS1, LPL, and ABCA1 genes (see S1 Table) were genotyped using the KASPar SNP Genotyping System by LGC Genomics.
Lipid mass spectrometry
For lipid analysis, cells were harvested in 0.1% sodium dodecyl sulfate (SDS) and protein content quantified using BCA protein assay (Pierce). Lipids from cell extracts and serum samples were extracted according to the method by Bligh and Dyer [45] in the presence of non-naturally occurring lipid species used as internal standards (PC 14:0/14:0, PC 22:0/22:0, PE 14:0/14:0, PE 20:0/20:0 (di-phytanoyl), LPC 13:0, LPC 19:0, Cer d18:1/14:0, Cer d18:1/17:0, D7-free cholesterol (FC), CE 17:0 and CE 22:0).
Sphingolipid species were quantified by ESI-MS/MS using methods validated and described previously [31]. Serum samples were processed in two different batches. In brief, samples were analyzed by direct flow injection on a Quattro Ultima triple quadrupole mass spectrometer (Micromass, Manchester, UK) by direct-flow injection analysis using a HTS PAL autosampler (Zwingen, Switzerland) and an Agilent 1100 binary pump (Waldbronn, Germany) with a solvent mixture of methanol containing 10 mM ammonium acetate and chloroform (3:1, v/v). A flow gradient was performed starting with a flow of 55 mL/min for 6 s followed by 30 mL/min for 1.0 min and an increase to 250 mL/min for another 12 s.
A precursor ion scan of m/z 184 specific for phosphocholine containing lipids was used for PC, SM, and LPC. Ceramides were analyzed similarly to a previously described methodology [46] using N-heptadecanoyl-sphingosine as internal standard.
Quantification was achieved by calibration lines generated by addition of naturally occurring lipid species to serum. All lipid classes were quantified with internal standards belonging to the same lipid class, except SM (PC internal standards). Calibration lines for sphingolipids were generated for the following naturally occurring species: SM 34:2, 36:2, 36:1; Cer d18:1/16:0, 18:0, 20:0, 24:1, 24:0. These calibration lines were also applied for not calibrated species, as follows: concentrations of saturated, monounsaturated, and polyunsaturated species were calculated using the closest related saturated, monounsaturated, and polyunsaturated calibration line slope, respectively.
Correction of isotopic overlap of lipid species as well as data analysis was performed by self-programmed Excel macros for all lipid classes according to the principles described previously [47]. Lipid species were annotated according to the “Shorthand Notation for Lipid Structures Derived from Mass Spectrometry” [48]. SM species annotation is based on the assumption that the main base contains two hydroxyl groups.
Malondialdehyde-acetaldehyde (MAA)-BSA adducts
Albumin bovine Fraction V (BSA fatty acid free, SERVA) was incubated with 20 mM malondialdehyde tetrabutylammonium salt (MDA; Sigma-Aldrich, St. Louis, MO, USA) and 20 mM acetaldehyde water free (Sigma-Aldrich) in 50 mM sodium phosphate buffer (pH 7.2) at 37°C for 24 h to produce MAA-BSA. Unreacted aldehydes were removed by extensive dialysis against PBS. BSA used as control of MAA-BSA in the experiments was treated in parallel with the same buffers and under the same conditions than MAA-BSA but excluding the addition of aldehydes. Increase in mobility due to loss of positive charge in reaction with malondialdehyde was observed in native PAGE. The degree of modification was assessed by the amount of specific MAA fluorescence present (Ex. 430/10 nm, Em. 480/10 nm). MAA specific modifications were corroborated by indirect enzyme-linked immunosorbent assay (ELISA) using the 1F83 monoclonal antibody against MDHDC (4-methyl-1,4-dihydropyridine-3,5-dicarbaldehyde) [49]. BSA treated with 1.33 or 20 mM malondialdehyde (MDA-BSA), and commercial MDA-BSA (Academy Bio-Medical Company, Houston, USA) were used for comparison purposes (S1 Fig).
BSA acetylation
BSA was acetylated with acetic anhydride according to a method by Basu et al. [50] with some modifications. Briefly, 0.5 mL of 0.15 M NaCl solution of BSA (15 mg/mL) was added to 0.5 mL of sodium-acetate saturated solution. Then multiple small aliquots of anhydride acetic were added over a period of 1 h until reaching a proportion of 2 μL of acetic anhydride per mg of BSA. The mixture was incubated an additional period of 2 h, and then dialyzed against 0.15 M NaCl for 24 h and further in PBS for another 24 h. BSA used as control of acetylated BSA (acetyl-BSA) was treated under the same conditions but without adding acetic anhydride. The higher mobility of acetyl-BSA in comparison to BSA in native PAGE indicates the loss of positive charge (S2 Fig).
Complement proteins
Expression of recombinant FHL-1 Y402 and H402 in Pichia pastoris or baculovirus expression system was previously described [51,52]. Purified human CFH from two different batches was purchased from CompTech (Tyler, USA) and, according to the company, 16 or more serum units were used as starting material for the protein isolation.
Cell culture and treatments
WERI-Rb1 cells (HTB-169, obtained from ATCC Manassas, VA, USA) were cultured in RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS) and 100 U/mL penicillin/streptomycin (P/S). All media and cell culture supplies were purchased from Life Technologies (Carlsbad, CA, USA). Cells were grown in an incubator at 37°C in 5% CO2. For experiments, WERI-Rb1 cells (4×105 cells/cm2) were plated on wells coated with poly-L-lysine (0.1 mg/mL, Sigma-Aldrich) and cultured for 48 h before starting the experiments. Then, cells were serum starved for 24 h and treated with MAA-BSA, acetyl-BSA or BSA for another 24 h in serum-free medium. For CFH and FHL-1 treatments, medium containing 80 μg/mL BSA or MAA-BSA and 200 μg/mL CFH, 80 μg/mL FHL-1 or PBS was pre-incubated for 30 min at RT and added to the cells for 24 h.
MTT assay
Cells were incubated in media with 0.5 mg/mL Thiazolyl Blue Tetrazolium Bromide (MTT, Sigma-Aldrich) for 30 min at 37°C. Cell media was carefully removed and 4 mM HCl in isopropanol added. After 15 min of incubation under darkness at room temperature, absorbance of the supernatant at 540 nm was measured in a Varioskan Flash Reader (Thermo Scientific).
RNA isolation and PCR
Total RNA was isolated from cultured cells using the RNeasy Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s recommendations. Genomic DNA was removed by DNAse treatment (Roche, Mannheim, Germany). The RNA was quantified using a ND-1000 NanoDrop Spectrophotometer (PeqLab, Erlangen, Germany) and stored at -80°C. First-strand cDNAs from 1 μg of total RNA were synthesized using the RevertAid H Minus First-Strand cDNA Synthesis Kit (Fermentas, St. Leon-Rot, Germany) and random hexamer oligonucleotide primers. For RT-PCR, 50 ng of cDNA was used as templates for PCR with Go Taq Polymerase (Promega, Mannheim, Germany) at a final volume of 25 μL. PCR products were electrophoretically separated in a 2% agarose gel. For quantitative RT-PCR, amplification of 50 ng cDNA was performed with an ABI7900HT machine (Applied Biosystems, Darmstadt, Germany) in 10 μL reactions containing 1x TaqMan Universal PCR Master Mix (Applied Biosystems, Darmstadt, Germany), 200 nM of primers and 0.25 μL of dual-labeled probe (Roche ProbeLibrary, Roche Applied Science, Mannheim, Germany). Measurements were performed in triplicates and results were analyzed with an ABI sequence detector software version 2.3 (Applied Biosystems, Darmstadt, Germany) applying the ΔΔCt method for relative quantification. Rates of mRNA expression were normalized to HPRT1. For each qPCR run and gene, the lowest value was set to 1 and all the other values scaled accordingly. Primer sequences for amplification of target genes are listed in S2 Table.
Data analysis
From the two lipid classes measured, 17 SM and 9 ceramides fulfilled the retention criteria of: a) <5% of cases with a value of zero, and b) lipid species representing >0.5% of the lipid class. For each lipid species, we carried out a linear regression analysis corrected for age, sex and batch between controls and late AMD patients. Within each lipid class, we corrected for multiple comparisons using the Benjamini-Hochberg (BH) method [53]. A subsequent linear regression analysis that consider the two different late AMD stages was performed to evaluate differences between controls and GA or CNV patients. Logistic regression was used to calculate odd ratios controlling for age, sex and batch. For sensitivity analysis, logistic regressions adjusted for age, sex, batch and genetic polymorphisms were performed in a reduced dataset of genotyped subjects (Control, n = 94; GA, n = 31; CNV, n = 161). Regression analyses were carried out using R software (r-project.org).
Pearson’s χ2 test for categorical data, analyses of variance (ANOVAs), and two-tailed Student’s t-tests were done using the Infostat 2011 Software (UNC, Córdoba, Argentina). Blocked ANOVAs and paired t-tests were carried out when necessary. Normality and homogeneity of variance were tested using Shapiro-Wilks and Levene tests, respectively.
Results
Sphingolipid species in AMD serum and the influence of genetic variants
Levels of ceramides and SM were measured in serum samples from 244 late stage AMD patients and 129 age-matched healthy controls (Table 1). Multiple linear regression analyses adjusting for age, sex and batch effect were performed, with corrections for multiple comparisons within each of the two lipid classes (Table 2, S3 Table). In the joint late stage AMD analysis, we found higher levels of hexosylceramide (HexCer) d18:1/16:0 in AMD patients compared to controls (Table 2). Hexosylceramide species include both glucosylceramide and galactosylceramide species, which are ceramides with a glucose or galactose residue, respectively. When separating the two late stage forms of AMD, we found higher levels of Cer d18:1/16:0 specifically in GA patients compared to controls (Table 2).
In addition, we carried out logistic regression analyses to evaluate the odds of AMD per unit increase in ceramide species, adjusting for age, sex and batch effect. Increasing Cer d18:1/16:0 (OR = 4.89, 95% CI 1.37–18.32, p = 0.016) and HexCer d18:1/16:0 (OR = 11.00, 95% CI 2.80–47.15, p = 0.00086) were significantly associated with increasing odds of suffering from GA or late AMD (i.e. GA + CNV), respectively.
We next carried out a sensitivity analysis to evaluate the influence of AMD genetic risk variants in the association between serum ceramide species and disease state. We used a reduced dataset of genotyped subjects (Control, n = 94; GA, n = 31; CNV, n = 161), and included genetic variants with strong effects on AMD risk (rs10490924:ARMS2 and rs1061170:CFH) [54], in addition to variants in genes from lipid metabolism (S1 Table). Genetic variants in lipid-related genes appear not to influence the associations observed (Fig 1). In contrast, variants rs10490924 and rs1061170 tend to increase the association between Cer d18:1/16:0 and GA (Fig 1A). Moreover, a model adjusted for these two variants showed a significant difference between GA and controls in the reduced dataset (Fig 1A).
A subgroup of genotyped samples including controls (n = 94), geographic atrophy (GA, n = 31) and choroidal neovascularization (CNV, n = 161) was used to determine the influence of genetic variants in the association of lipid species and disease by multiple logistic regression. Regressions were adjusted for age, sex, batch and genetic variants for: (A) Ceramide (Cer) d18:1/16:0 association with GA, (B) Hexosylceramide (HexCer) d18:1/16:0 association with all late AMD (i.e. AMD = GA + CNV). The vertical grey lines indicate the slope of the regression non-adjusted for genetic variants. Odd ratios (OR) ± 95% confidence intervals (CI) are shown together with the p-values of the regressions. CFH/ARMS2: adjusted for both CFH rs1061170 and ARMS2 rs10490924.
MAA adducts regulate the ceramide metabolism in WERI-Rb1
Ceramide metabolism in photoreceptor cells has previously been shown to be altered under oxidative-stress conditions [55,56]. To establish a cell-based assay for testing the modulation of sphingolipid gene expression, we investigated the possibility that MAA protein adducts regulate the synthesis of these lipids in the human cell line WERI-Rb1, an early stage cone lineage cell line [57]. First, WERI-Rb1 cells were treated with 20 and 80 μg/mL of MAA-BSA adducts (Fig 2A) to check for the influence of these oxidation-derived adducts in cell survival and activation of the cellular stress response. Cells exposed to 80 μg/mL MAA-BSA showed a reduced cell survival compared to BSA control (Fig 2B), and induction of the stress response as indicated by an increase in gene expression of NAD(P)H dehydrogenase [quinone] 1 (NQO1) and Heme oxygenase 1 (HMOX1) (Fig 2C).
(A) Schematic structure of MDHDC (4-methyl-1,4-dihydropyridine-3,5-dicarbaldehyde), the most prominent adduct in malondialdehyde-acetaldehyde (MAA) protein modifications. (B-C) Cells treated with 20 or 80 μg/mL of BSA or MAA-BSA for 24 h. (B) Cell viability (%) measured by MTT assay; the repetition with the highest value was considered as 100% (each value corresponds to the mean ± SEM of six-fold independently performed replicates). (C) Gene expression of NAD(P)H dehydrogenase [quinone] 1 (NQO1) and Heme oxygenase 1 (HMOX1) (each value corresponds to the mean ± SEM of three-fold independently performed replicates). Statistics: 2-way ANOVA and simple effect test (when significant interaction). ***p<0.001, **p<0.01.
We then evaluated gene expression of selected enzymes involved in ceramide metabolism (Fig 3A and S3 Fig). From de novo and salvage ceramide synthesis pathways, expression of SPTLC1, DEGS1, CERS2 and CERS6 was upregulated under MAA-BSA treatment compared to BSA control (Fig 3B). Additionally, gene expression of SGMS1 involved in SM synthesis, and UGCG involved in glucosylceramide synthesis, one of the two types of hexosylceramides, were also upregulated under MAA-BSA treatment (Fig 3C). No significant differences were observed for the gene expression of sphingomyelinases (SMPD1-3) that synthesize ceramide by hydrolysis of SM (Fig 3D). Mass spectrometry measurements confirmed the increase in ceramide species, and also a tendency for increased hexosylceramide species under MAA-BSA treatment (HexCer d18:1/16:0, p = 0.18; HexCer d18:1/24:1, p = 0.11) (Fig 3E). Levels of two SM species were also significantly increased under MAA treatment (Fig 3F). MAA-BSA produced a significant increase in UGCG and SGMS1 gene expression levels as a possible response to reduce ceramide toxicity by generating less toxic sphingolipid species. However, this was not enough to counteract the increase in ceramide levels, as the ratios of total ceramide to total SM or total hexosylceramide were greater in MAA-BSA than in BSA treated cells (Fig 3G and 3H).
(A) The sphingolipid pathway depicting the gene symbols of the enzymes involved (complete protein names in S2 Table). (B-H) Cells were treated with 80 μg/mL of BSA or MAA-BSA for 24 h, and gene expression or lipid levels were measured. (B) Genes from the de novo and salvage ceramide synthesis pathways. (C) Genes involved in the synthesis of SM from ceramides, and synthesis of glucosylceramides (GlcCer) and galactosylceramides (GalCer), both hexosylceramides (HexCer). (D) Genes involved in the generation of ceramide by sphingomyelin (SM) hydrolysis. (E) Ceramide (Cer) species levels. (F) SM species levels; only results from most abundant species are shown. (G) Ratio of total ceramide to total SM levels. (H) Ratio of total ceramide to total HexCer levels. Each value corresponds to the mean ± SEM of six-fold independently performed replicates evaluated in two batches. Statistics: Linear regression adjusted for batch of analysis; ***p<0.001, **p<0.01, *p<0.05.
To rule out the possibility that the regulation of genes by MAA-BSA may be associated with the loss of positive charge as a consequence of MAA adduction on amino groups, we treated WERI-Rb1 cells with 80 μg/mL of acetylated-BSA (acetyl-BSA) or BSA. Acetylation of proteins was shown to block amino groups and remove positive charges from proteins [50,58]. We observed no significant differences between acetyl-BSA and BSA treated cells in the expression of NQO1 or genes in the ceramide synthesis pathway that were consistently increased by MAA-BSA in comparison to BSA treatments (S2 Fig). Therefore, the loss of positive charge in BSA is not sufficient to explain the effects of MAA-BSA on WERI-Rb1 gene expression.
Risk and non-risk isoforms of FHL-1 differentially regulate gene expression of ceramide metabolism
To test whether variant rs1061170:CFH (p.Y402H) differentially influences the regulation of ceramide metabolism in WERI-Rb1 cells, we used two variants of recombinant FHL-1, a splicing variant of CFH shown to be the predominant complement regulator in Bruch's membrane [59] (Fig 4A). Full-length CFH isolated from pooled human serum was included as a control of FHL-1 effects on cells. MAA-BSA or BSA were pre-incubated with FHL-1:Y402, FHL-1:H402 or CFH in an equimolar concentration, and then added to WERI-Rb1 cells for 24 h. Quantitative RT-PCR analysis revealed that NQO1 gene expression was higher in MAA-BSA compared to BSA in spite of FHL-1 or CFH addition, showing that the stress response under MAA-BSA was not affected by these complement proteins (Fig 4B). Gene expression of SGMS1 and SPTLC1, the rate limiting enzyme of de novo ceramide synthesis, was significantly decreased under the influence of both FHL-1 variants compared to the PBS control (Fig 4C and 4D). DEGS1, which is also participating in de novo ceramide synthesis, showed a significant decrease of expression for non-risk associated variant FHL-1:Y402 compared to PBS and CFH (Fig 4E). Finally, our results demonstrated that FHL-1:Y402, but not the AMD risk variant FHL-1:H402 or the full-length CFH, significantly downregulated the expression of CERS2, which participates in de novo and salvage ceramide synthesis pathways, and of UGCG, involved in glucosylceramide synthesis, in the presence and absence of MAA-BSA (Fig 4F and 4G).
(A) Schematic representation of CFH and FHL-1 proteins. CFH is composed of 20 short consensus repeats (SCR), and its alternative splicing variant FHL-1 of 7 SCR and a unique extension of 4 amino acids. The complement regulatory region (SCR 1–4), and surface recognition domains (SCR 19–20) are indicated. Residue 402 is located in the SCR 7 of both proteins. (B-G) WERI-Rb1 cells treated with 80 μg/mL BSA or MAA-BSA during 24 h with or without addition of 200 μg/mL CFH or 80 μg/mL FHL-1 proteins. Expression of genes from (B) NAD(P)H dehydrogenase [quinone] 1 (NQO1), (C) Phosphatidylcholine:ceramide cholinephosphotransferase 1 (SGMS1), (D) Serine palmitoyltransferase 1 (SPTLC1), (E) Sphingolipid delta(4)-desaturase DES1 (DEGS1), (F) Ceramide synthase 2 (CERS2), (G) Ceramide glucosyltransferase (UGCG). Each value corresponds to the mean ± SEM of four-fold independently performed experiments. Statistics: two-way blocked ANOVA and Tukey’s test (no significant interaction between principal effects was observed); (C-G) only the significance from the Tukey’s test comparing PBS, CFH, FHL-1:Y402 (Y), and FHL-1:H402 (H) are shown in the graphs; all genes showed significant differences between MAA-BSA and BSA treatments: (C, F) p<0.001, (G, E) p<0.01, (D) p<0.05. ***p<0.001, *p<0.05.
Discussion
Here, we show for the first time that levels of ceramide species are significantly elevated in serum of late stage AMD patients compared to healthy control individuals in a population based study. We observed a 1.20-fold increase of Cer d18:1/16:0 in GA and a 1.21-fold increase of HexCer d18:1/16:0 in all late AMD compared to controls. The differences reported here for AMD are in accordance to fold-changes in ceramides observed in other neurodegenerative disorders. For example, Han et al. [41] showed that plasma Cer d18:1/16:0 was approximately 1.27-fold significantly increased in AD patients compared to controls, while a more recent study that evaluated plasma of autopsy-confirmed AD dementia patients reported a 1.21-fold increase of the same ceramide species [60]. Further studies in different cohorts of AD patients corroborated the association of circulating ceramides in AD and its neuropsychiatric symptoms [61–63]. Moreover, circulating Cer d18:1/16:0 has been consistently associated with neurological disorders, including Parkinson’s disease, AD, dementia with Lewy bodies and memory impairment [38–41,60–62]. The increased levels of circulating ceramides in AD are consistent with increased levels of these bioactive lipids in cerebrospinal fluid soluble fractions [64] and brains [65] of patients with the disease. It would be of great interest to measure sphingolipid levels in vitreous humor of AMD patients, as the proximity to the retina may give a better understanding of the possible role of these lipids in AMD.
The significant result for higher Cer d18:1/16:0 in GA but not CNV patients compared to controls points to a possible differential role of specific lipid species between AMD late stages. The levels of these ceramide species in plasma seem to depend on the rate of de novo synthesis in solid tissues, mainly the liver and adipose tissue [66,67]. Although no correlation analysis was undertaken between ceramide species in plasma and the retina, ratios of omega-3 to omega-6 polyunsaturated fatty acids (PUFA) in serum and phosphatidylethanolamine species containing PUFA in red blood cells were found to be good biomarkers of retinal PUFA levels, including docosahexaenoic acid [68,69]. The lipid composition of plasma has previously been considered as a reflection of the overall lipid metabolism of individuals, although concentrations of lipids between plasma and tissue may differ depending on other factors such as genetics or oxidative-stress generated as a consequence of alcohol consumption and smoking [69].
Our sensitivity analysis revealed no influence of genetic variants in lipid-related genes in the association between ceramides and AMD. However, a suggestive tendency for the influence of AMD-associated variants rs10490924:ARMS2 and rs1061170:CFH was observed for the association between Cer d18:1/16:0 and GA. To better understand such a possible connection, we used an early stage cone lineage cell line, WERI-Rb1, as a model to evaluate sphingolipid modulation at the gene expression level. Previous studies showed an increase in ceramide synthesis in rat retina neuronal cultures exposed to the oxidative stress inducer paraquat [55], and ceramide and/or sphingosine, which is synthetized from ceramide by ceramidases, then trigger apoptosis [70]. In the mouse retina-derived 661W cell line, ceramide was shown to be responsible for the activation of the mitochondrial apoptotic pathway after sodium nitroprusside treatment [56]. Photoreceptors present a high metabolic activity and demand for oxygen and nutrients, and together with the high-energy light that reaches the retina and their high content of PUFA particularly vulnerable to oxidation, they are a main source of peroxides and organic radicals [71]. Malondialdehyde is a by-product of lipid peroxidation previously shown to be present in AMD lesions [72], and circulating levels of malondialdehyde were found elevated in AMD patients compared to controls [73,74]. Therefore, we investigated the possibility that MAA protein adducts may regulate the synthesis of these lipids in WERI-Rb1 cells, to later estimate the effects of FHL-1 variants Y402 and H402 on the gene regulation of the ceramide metabolism.
Here, we demonstrated that treatment of WERI-Rb1 cells with MAA-BSA adducts increased the expression of SPTLC1, DEGS1, CERS2, and CERS6, genes from the de novo and salvage pathway of ceramide synthesis, and significantly increased the levels of Cer d18:1/18:0, 20:0, 22:0, 24:0, and 24:1. We also observed an increase in SGMS1 and UGCG gene expression suggesting a possible response to hamper ceramide cytotoxicity by further synthesis of the less toxic sphingolipids SM and glucosylceramide from ceramide. Although an increase in glucosylceramide provides an escape route from apoptosis by decreasing ceramide levels, pathological accumulation of glucosylceramide in Gaucher disease results in retinal neuronal cell death [75], and also seems to contribute to the pathogenesis of diabetic retinopathy. In this regard, inhibition of glucosylceramide synthesis in retinal neurons of a diabetic rat model was shown to increase insulin sensitivity and reduce neuronal death [76]. Future investigation of sphingolipids in an AMD animal model may contribute to better understand their role in the disease.
Finally, we focused on the possible regulation of ceramide genes by FHL-1 variant Y402 and AMD risk-associated isoform FHL-1:H402 in WERI-Rb1 cells. We showed that FHL-1:Y402, but not FHL-1:H402 or full-length CFH, decreased the expression of CERS2 and UGCG in the presence and absence of MAA-BSA. CFH variant H402 was previously shown to have an impaired ability to bind MAA-BSA compared to CFH variant Y402 [72], and therefore we expected FHL-1:Y402 incubated with MAA-BSA adducts to reduce the effect of this peroxidation product when compared to FHL-1:H402. However, the binding of FHL-1 to MAA-BSA adducts in WERI-Rb1 cell media is not enough to explain the differential influence of FHL-1 variants in CERS2 and UGCG gene expression, as the effect was observed also for the BSA control treatment. A similar decrease of relative expression under FHL-1 Y402 in the BSA control was observed for SGMS1, SPTLC1 and DEGS1, although the difference between FHL-1 variants in the expression of these genes was not statistically significant. Moreover, the fact that full-length CFH isolated from pooled serum did not exert the same effect as FHL-1 suggest a specific role of FHL-1 in the modulation of WERI-Rb1 sphingolipid metabolism.
It has been previously shown that FHL-1, but not CFH, promotes cell attachment of mink epithelial-like cell-line CCL64, human melanoma C32 cells and human fibroblast-like MRC-5 cells, even though both proteins display the RGD motif that is necessary for this function at identical positions in SCR 4 [77]. RGD motif is recognized by members of the integrin family of adhesion proteins [78], and it has been demonstrated that inhibition of endothelial cell anchorage by blockade of RGD-binding integrins increases endogenous ceramide [79]. Therefore, it may be possible that FHL-1 promotes regulation of the ceramide metabolism in WERI-Rb1 cells in a membrane receptor-dependent manner using the RGD motif and triggering an intracellular response, which may explain our observation that both FHL-1 variants statistically decreased the gene expression of SGMS1 and SPTLC1 compared to PBS control. Moreover, a recent study has shown that the binding of FHL-1 to C-reactive protein and pentraxin-3 differs from the binding of CFH to these proteins, and that the interaction between FHL-1 and pentraxin-3 is altered by the Y402H polymorphism [80]. These results show that FHL-1 has binding abilities different from CFH that are influenced by the Y402H variant. As ceramide synthesis involves three pathways modulated by different stimuli and cellular conditions [81,82], our results showing that only FHL-1 Y402 decreased the gene expression of CERS2 and UGCG compared to controls may be associated with a specific binding ability of this variant to the cell surface and a subsequent response. Further studies are needed to understand the interaction of FHL-1 variants with WERI-Rb1 cells and their regulation of ceramide metabolism.
A recent study demonstrated that C5aR1 regulates glucosylceramide cellular accumulation in experimental and clinical Gaucher disease, which induces complement-activating IgG autoantibodies that drive C5a generation and C5aR1 activation, feeding a cycle of glucosylceramide accumulation and immune response activation [83]. Another study demonstrated that two isoforms of the ceramide transporter protein (CERT) bind to C1q and initiate the classical complement pathway in normal human serum, and that C1q binds to the longer splicing isoform CERTL in the surface of apoptotic cells [84]. The results from these studies and our findings that FHL-1 regulates the gene expression of ceramide metabolism in WERI-Rb1 cells highlight the importance to further investigate the connection between the sphingolipid metabolism and the complement system. Future experiments should evaluate the regulation of sphingolipids by FHL-1 in the presence of other complement proteins to better understand the possible in vivo implication of these findings.
In conclusion, our study reports for the first time higher levels of serum ceramides in AMD patients that may reflect alterations in the sphingolipid metabolism as a consequence of pro-oxidant environments. Moreover, the genetic variant rs1061170 (p.Y402H) in CFH which is a strong risk factor for AMD seems to influence the levels of ceramides in serum, and FHL-1 variants Y402 and H402 differentially regulate the expression of ceramide synthesis genes in retinoblastoma-derived cells. These findings point to a possible influence of CFH variant rs1061170 in cellular processes regulated by sphingolipid levels, such as cell survival, proliferation and autophagy.
Supporting information
S1 Table. Selected SNPs for the sensitivity analysis with reference papers.
https://doi.org/10.1371/journal.pone.0200739.s001
(DOC)
S2 Table. Sequence of primers used for PCR analysis.
https://doi.org/10.1371/journal.pone.0200739.s002
(DOC)
S3 Table. Linear regression association of serum sphingolipid species to late age-related macular degeneration (AMD) stages.
https://doi.org/10.1371/journal.pone.0200739.s003
(DOC)
S1 Fig. Corroboration of malondialdehyde-acetaldehyde protein adducts synthesis.
(A) Native PAGE of bovine serum albumin (BSA), BSA treated with 1.33 or 20 mM malondialdehyde (MDA-BSA), and BSA modified with 20 mM MDA and 20 mM acetaldehyde (MAA-BSA) stained with Coomassie Blue. (B) Fluorescence intensity of 10 μg of unmodified BSA, MDA-BSA and MAA-BSA proteins (Ex. 430/10 nm, Em. 480/10 nm). (C) MAA specific modifications were corroborated by indirect enzyme-linked immunosorbent assay (ELISA). Maxisorp plates were coated with a dilution series of each protein and wells were incubated with 1F83 monoclonal antibody (mAb) against MDHDC (4-methyl-1,4-dihydropyridine-3,5-dicarbaldehyde). 1F83 was detected with HRP-conjugated Ab. MDA-BSA comm.: commercial MDA-BSA. (D) Fluorescence intensity of unmodified BSA and MAA-BSA proteins from four synthesis batches (mean ± SEM). (E) Binding of MDHDC mAb against unmodified BSA and MAA-BSA proteins from four synthesis batches (mean ± SEM).
https://doi.org/10.1371/journal.pone.0200739.s004
(DOC)
S2 Fig. Influence of acetylated-BSA (acetyl-BSA) in gene expression of WERI-Rb1 cells.
(A) Native PAGE of bovine serum albumin (BSA) and BSA treated with 2 μL of acetic anhydride per mg of protein to produce acetyl-BSA. The gel was stained with Coomassie Blue. The table shows the retention factor relative to BSA (RfBSA) calculated as the ratio of the distance each protein has travelled over the distance travelled by BSA. RfBSA for MAA-BSA was obtained from the gel showed in S1 Fig. (B-C) WERI-Rb1 cells treated with 80 μg/mL of BSA or acetyl-BSA for 24 h. (B) Gene expression of NAD(P)H dehydrogenase [quinone] 1 (NQO1) (each value corresponds to the mean ± SEM of three-fold independently performed experiments). (C) Gene expression of serine palmitoyltransferase 1 (SPTLC1), sphingolipid delta(4)-desaturase DES1 (DEGS1), ceramide synthase 2 (CERS2), and ceramide synthase 6 (CERS6) (each value corresponds to the mean ± SEM of three-fold independently performed experiments). Statistics: Paired Student’s t-test, p>0.05 for all genes evaluated.
https://doi.org/10.1371/journal.pone.0200739.s005
(DOC)
S3 Fig. Expression of selected genes in the ceramide metabolism in WERI-Rb1 cells.
Expression of 15 genes from the ceramide metabolism evaluated by RT-PCR in retinoblastoma cell line WERI-Rb1. CERS3 presented a very low expression and was not included in later experiments. Ctrl lanes for each gene represent a control without cDNA addition. The lower molecular weight band in UGCG and Ctrl UGCG lanes correspond to primer dimers.
https://doi.org/10.1371/journal.pone.0200739.s006
(DOC)
Acknowledgments
We thank Doreen Müller and Simone Düchtel for technical assistance regarding lipid species measurements. We also thank Satu Hyvärinen from Dr. Jokiranta Lab (University of Helsinki, Finland) for his advice regarding the MAA-BSA synthesis. LMPL was supported by the Alexander von Humboldt Foundation as a Georg Forster Postdoctoral Fellow, and by a Grant for female scientists from the Bavarian State Ministry of Education and Cultural Affairs, Science and the Arts, and is now supported by The National Scientific and Technical Research Council (CONICET) from Argentina.
References
- 1. Wong WL, Su X, Li X, Cheung CMG, Klein R, Cheng C-Y, et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health. 2014; 2: e106–e116. pmid:25104651
- 2.
Kang S, Grossniklaus H. Histopathology of Age-Related Macular Degeneration. Age-Related Macular Degeneration, Second Edition: CRC Press; 2007. pp. 1–9.
- 3. Edwards AO, Ritter R 3rd, Abel KJ, Manning A, Panhuysen C, Farrer LA. Complement factor H polymorphism and age-related macular degeneration. Science. 2005; 308: 421–424. pmid:15761121
- 4. Klein RJ, Zeiss C, Chew EY, Tsai JY, Sackler RS, Haynes C, et al. Complement factor H polymorphism in age-related macular degeneration. Science. 2005; 308: 385–389. pmid:15761122
- 5. Fritsche LG, Igl W, Bailey JN, Grassmann F, Sengupta S, Bragg-Gresham JL, et al. A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants. Nat Genet. 2016; 48: 134–143. pmid:26691988
- 6. Rivera A, Fisher SA, Fritsche LG, Keilhauer CN, Lichtner P, Meitinger T, et al. Hypothetical LOC387715 is a second major susceptibility gene for age-related macular degeneration, contributing independently of complement factor H to disease risk. Hum Mol Genet. 2005; 14: 3227–3236. pmid:16174643
- 7. Jakobsdottir J, Conley YP, Weeks DE, Mah TS, Ferrell RE, Gorin MB. Susceptibility genes for age-related maculopathy on chromosome 10q26. Am J Hum Genet. 2005; 77: 389–407. pmid:16080115
- 8. Grassmann F, Heid IM, Weber BH. Recombinant Haplotypes Narrow the ARMS2/HTRA1 Association Signal for Age-Related Macular Degeneration. Genetics. 2017; 205: 919–924. pmid:27879347
- 9. Fritsche LG, Chen W, Schu M, Yaspan BL, Yu Y, Thorleifsson G, et al. Seven new loci associated with age-related macular degeneration. Nat Genet. 2013; 45: 433–439. pmid:23455636
- 10. Neale BM, Fagerness J, Reynolds R, Sobrin L, Parker M, Raychaudhuri S, et al. Genome-wide association study of advanced age-related macular degeneration identifies a role of the hepatic lipase gene (LIPC). Proc Natl Acad Sci U S A. 2010; 107: 7395–7400. pmid:20385826
- 11. Chen W, Stambolian D, Edwards AO, Branham KE, Othman M, Jakobsdottir J, et al. Genetic variants near TIMP3 and high-density lipoprotein-associated loci influence susceptibility to age-related macular degeneration. Proc Natl Acad Sci U S A. 2010; 107: 7401–7406. pmid:20385819
- 12. Erke MG, Bertelsen G, Peto T, Sjolie AK, Lindekleiv H, Njolstad I. Cardiovascular risk factors associated with age-related macular degeneration: the Tromso Study. Acta Ophthalmol. 2014; 92: 662–629. pmid:24460653
- 13. Fauser S, Smailhodzic D, Caramoy A, van de Ven JP, Kirchhof B, Hoyng CB, et al. Evaluation of serum lipid concentrations and genetic variants at high-density lipoprotein metabolism loci and TIMP3 in age-related macular degeneration. Invest Ophthalmol Vis Sci. 2011; 52: 5525–5528. pmid:21613373
- 14. Cackett P, Wong TY, Aung T, Saw SM, Tay WT, Rochtchina E, et al. Smoking, cardiovascular risk factors, and age-related macular degeneration in Asians: the Singapore Malay Eye Study. Am J Ophthalmol. 2008; 146: 960–967. pmid:18723144
- 15. Klein R, Myers CE, Buitendijk GH, Rochtchina E, Gao X, de Jong PT, et al. Lipids, lipid genes, and incident age-related macular degeneration: the three continent age-related macular degeneration consortium. Am J Ophthalmol. 2014; 158: 513–524. pmid:24879949
- 16. Paun CC, Ersoy L, Schick T, Groenewoud JM, Lechanteur YT, Fauser S, et al. Genetic Variants and Systemic Complement Activation Levels Are Associated With Serum Lipoprotein Levels in Age-Related Macular Degeneration. Invest Ophthalmol Vis Sci. 2015; 56: 7766–7773. pmid:26641553
- 17. Davari MH, Gheitasi H, Yaghobi G, Heydari B. Correlation between serum lipids and age-related macular degeneration: a case-control study. J Res Health Sci. 2013; 13: 98–101. pmid:23772022
- 18. Butt AL, Lee ET, Klein R, Russell D, Ogola G, Warn A, et al. Prevalence and Risks factors of Age-Related Macular Degeneration in Oklahoma Indians: The Vision Keepers Study. Ophthalmology. 2011; 118: 1380–1385. pmid:21310490
- 19. Hyman L, Schachat AP, He Q, Leske M, for the Age-Related Macular Degeneration Risk Factors Study G. HYpertension, cardiovascular disease, and age-related macular degeneration. Arch Ophthalmol. 2000; 118: 351–358. pmid:10721957
- 20. Ambreen F, Khan WA, Qureshi N, Qureshi IZ. Assessment of serum lipids in patients with age related macular degeneration from Pakistan. J Pak Med Assoc. 2014; 64: 664–669. pmid:25252486
- 21. Klein R, Klein BE, Tomany SC, Cruickshanks KJ. The association of cardiovascular disease with the long-term incidence of age-related maculopathy: the Beaver Dam Eye Study. Ophthalmology. 2003; 110: 1273–1280. pmid:12799274
- 22. Klein R, Klein BE, Franke T. The relationship of cardiovascular disease and its risk factors to age-related maculopathy. The Beaver Dam Eye Study. Ophthalmology. 1993; 100: 406–414. pmid:8460013
- 23. van Leeuwen R, Klaver CC, Vingerling JR, Hofman A, van Duijn CM, Stricker BH, et al. Cholesterol and age-related macular degeneration: is there a link? Am J Ophthalmol. 2004; 137: 750–752. pmid:15059717
- 24. Klein R, Cruickshanks KJ, Nash SD, Krantz EM, Nieto FJ, Huang GH, et al. The prevalence of age-related macular degeneration and associated risk factors. Arch Ophthalmol. 2010; 128: 750–758. pmid:20547953
- 25. Nowak M, Swietochowska E, Marek B, Szapska B, Wielkoszynski T, Kos-Kudla B, et al. Changes in lipid metabolism in women with age-related macular degeneration. Clin Exp Med. 2005; 4: 183–187. pmid:15750765
- 26. Tan JSL, Mitchell P, Smith W, Wang JJ. Cardiovascular Risk Factors and the Long-term Incidence of Age-Related Macular Degeneration: The Blue Mountains Eye Study. Ophthalmology. 2007; 114: 1143–1150. pmid:17275090
- 27. Cougnard-Grégoire A, Delyfer M-N, Korobelnik J-F, Rougier M-B, Le Goff M, Dartigues J-F, et al. Elevated High-Density Lipoprotein Cholesterol and Age-Related Macular Degeneration: The Alienor Study. PLoS One. 2014; 9: e90973. pmid:24608419
- 28. Grassmann F, Kiel C, Zimmermann ME, Gorski M, Grassmann V, Stark K, et al. Genetic pleiotropy between age-related macular degeneration and 16 complex diseases and traits. Genome Med. 2017; 9: 017–0418.
- 29. Merle BM, Delyfer MN, Korobelnik JF, Rougier MB, Malet F, Feart C, et al. High concentrations of plasma n3 fatty acids are associated with decreased risk for late age-related macular degeneration. J Nutr. 2013; 143: 505–511. pmid:23406618
- 30. Merle BM, Benlian P, Puche N, Bassols A, Delcourt C, Souied EH. Circulating omega-3 fatty acids and neovascular age-related macular degeneration. Invest Ophthalmol Vis Sci. 2014; 55: 2010–2019. pmid:24557349
- 31. Wiesner P, Leidl K, Boettcher A, Schmitz G, Liebisch G. Lipid profiling of FPLC-separated lipoprotein fractions by electrospray ionization tandem mass spectrometry. J Lipid Res. 2009; 50: 574–585. pmid:18832345
- 32. Hannun YA, Obeid LM. Principles of bioactive lipid signalling: lessons from sphingolipids. Nat Rev Mol Cell Biol. 2008; 9: 139–150. pmid:18216770
- 33. Van Brocklyn JR, Williams JB. The control of the balance between ceramide and sphingosine-1-phosphate by sphingosine kinase: oxidative stress and the seesaw of cell survival and death. Comp Biochem Physiol B Biochem Mol Biol. 2012; 163: 26–36. pmid:22613819
- 34. Nixon GF. Sphingolipids in inflammation: pathological implications and potential therapeutic targets. Br J Pharmacol. 2009; 158: 982–993. pmid:19563535
- 35. Schütze S, Potthoff K, Machleidt T, Berkovic D, Wiegmann K, Kronke M. TNF activates NF-kappa B by phosphatidylcholine-specific phospholipase C-induced "acidic" sphingomyelin breakdown. Cell. 1992; 71: 765–776. pmid:1330325
- 36. Poli V. The role of C/EBP isoforms in the control of inflammatory and native immunity functions. J Biol Chem. 1998; 273: 29279–29282. pmid:9792624
- 37. Kannan R, Jin M, Gamulescu MA, Hinton DR. Ceramide-induced apoptosis: role of catalase and hepatocyte growth factor. Free Radic Biol Med. 2004; 37: 166–175. pmid:15203188
- 38. Mielke MM, Bandaru VVR, Haughey NJ, Rabins PV, Lyketsos CG, Carlson MC. Serum sphingomyelins and ceramides are early predictors of memory impairment. Neurobiol Aging. 2010; 31: 17–24. pmid:18455839
- 39. Mielke MM, Bandaru VV, Haughey NJ, Xia J, Fried LP, Yasar S, et al. Serum ceramides increase the risk of Alzheimer disease: the Women's Health and Aging Study II. Neurology. 2012; 79: 633–641. pmid:22815558
- 40. Mielke MM, Maetzler W, Haughey NJ, Bandaru VV, Savica R, Deuschle C, et al. Plasma ceramide and glucosylceramide metabolism is altered in sporadic Parkinson's disease and associated with cognitive impairment: a pilot study. PLoS One. 2013; 8: e73094. pmid:24058461
- 41. Han X, Rozen S, Boyle SH, Hellegers C, Cheng H, Burke JR, et al. Metabolomics in early Alzheimer's disease: identification of altered plasma sphingolipidome using shotgun lipidomics. PLoS One. 2011; 6: e21643. pmid:21779331
- 42. Demirkan A, Isaacs A, Ugocsai P, Liebisch G, Struchalin M, Rudan I, et al. Plasma phosphatidylcholine and sphingomyelin concentrations are associated with depression and anxiety symptoms in a Dutch family-based lipidomics study. J Psychiatr Res. 2013; 47: 357–362. pmid:23207112
- 43. Dossarps D, Martine L, Berdeaux O, Sibille E, Bron AM, Creuzot-Garcher CP, et al. Plasmatic ganglioside profile and age-related macular degeneration: a case-control study. Ophthalmic Res. 2016; 56: 41–48. pmid:27035458
- 44. Ristau T, Ersoy L, Lechanteur Y, den Hollander AI, Daha MR, Hahn M, et al. Allergy is a protective factor against age-related macular degeneration. Invest Ophthalmol Vis Sci. 2014; 55: 210–214. pmid:24235017
- 45. Bligh EG, Dyer WJ. A rapid method of total lipid extraction and purification. Can J Biochem Physiol. 1959; 37: 911–917. pmid:13671378
- 46. Liebisch G, Drobnik W, Reil M, Trumbach B, Arnecke R, Olgemoller B, et al. Quantitative measurement of different ceramide species from crude cellular extracts by electrospray ionization tandem mass spectrometry (ESI-MS/MS). J Lipid Res. 1999; 40: 1539–1546. pmid:10428992
- 47. Liebisch G, Lieser B, Rathenberg J, Drobnik W, Schmitz G. High-throughput quantification of phosphatidylcholine and sphingomyelin by electrospray ionization tandem mass spectrometry coupled with isotope correction algorithm. Biochim Biophys Acta. 2004; 8: 108–117.
- 48. Liebisch G, Vizcaino JA, Kofeler H, Trotzmuller M, Griffiths WJ, Schmitz G, et al. Shorthand notation for lipid structures derived from mass spectrometry. J Lipid Res. 2013; 54: 1523–1530. pmid:23549332
- 49. Yamada S, Kumazawa S, Ishii T, Nakayama T, Itakura K, Shibata N, et al. Immunochemical detection of a lipofuscin-like fluorophore derived from malondialdehyde and lysine. J Lipid Res. 2001; 42: 1187–1196. pmid:11483619
- 50. Basu SK, Goldstein JL, Anderson GW, Brown MS. Degradation of cationized low density lipoprotein and regulation of cholesterol metabolism in homozygous familial hypercholesterolemia fibroblasts. Proc Natl Acad Sci U S A. 1976; 73: 3178–3182. pmid:184464
- 51. Kuhn S, Skerka C, Zipfel PF. Mapping of the complement regulatory domains in the human factor H-like protein 1 and in factor H1. J Immunol. 1995; 155: 5663–5670. pmid:7499851
- 52. Kuhn S, Zipfel PF. Mapping of the domains required for decay acceleration activity of the human factor H-like protein 1 and factor H. Eur J Immunol. 1996; 26: 2383–2387. pmid:8898949
- 53. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol. 1995; 57: 289–300.
- 54. Fritsche LG, Igl W, Bailey JNC, Grassmann F, Sengupta S, Bragg-Gresham JL, et al. A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants. Nat Genet. 2016; 48: 134–143. pmid:26691988
- 55. German OL, Miranda GE, Abrahan CE, Rotstein NP. Ceramide is a mediator of apoptosis in retina photoreceptors. Invest Ophthalmol Vis Sci. 2006; 47: 1658–1568. pmid:16565407
- 56. Sanvicens N, Cotter TG. Ceramide is the key mediator of oxidative stress-induced apoptosis in retinal photoreceptor cells. J Neurochem. 2006; 98: 1432–1444. pmid:16923157
- 57. Shaaban SA, Deeb SS. Functional analysis of the promoters of the human red and green visual pigment genes. Invest Ophthalmol Vis Sci. 1998; 39: 885–896. pmid:9579468
- 58. Fraenkel-Conrat H, Bean RS, Lineweaver H. Essential groups for the interaction of ovomucoid, egg white trypsin inhibitor, and trypsin, and for tryptic activity. J Biol Chem. 1949; 177: 385–403. pmid:18107443
- 59. Clark SJ, Schmidt CQ, White AM, Hakobyan S, Morgan BP, Bishop PN. Identification of factor H-like protein 1 as the predominant complement regulator in Bruch's membrane: implications for age-related macular degeneration. J Immunol. 2014; 193: 4962–4970. pmid:25305316
- 60. Savica R, Murray ME, Persson X-M, Kantarci K, Parisi JE, Dickson DW, et al. Plasma sphingolipid changes with autopsy-confirmed Lewy body or Alzheimer's pathology. Alzheimers Dement (Amst). 2016; 3: 43–50.
- 61. Kim M, Nevado-Holgado A, Whiley L, Snowden SG, Soininen H, Kloszewska I, et al. Association between plasma ceramides and phosphatidylcholines and hippocampal brain volume in late onset Alzheimer's disease. J Alzheimers Dis. 2017; 60: 809–817. pmid:27911300
- 62. Xing Y, Tang Y, Zhao L, Wang Q, Qin W, Zhang JL, et al. Plasma ceramides and neuropsychiatric symptoms of Alzheimer's disease. J Alzheimers Dis. 2016; 52: 1029–1035. pmid:27079712
- 63. Mielke MM, Haughey NJ, Han D, An Y, Bandaru VVR, Lyketsos CG, et al. The association between plasma ceramides and sphingomyelins and risk of Alzheimer's disease differs by sex and APOE in the Baltimore Longitudinal Study of Aging. J Alzheimers Dis. 2017; 60: 819–828. pmid:28035934
- 64. Fonteh AN, Ormseth C, Chiang J, Cipolla M, Arakaki X, Harrington MG. Sphingolipid metabolism correlates with cerebrospinal fluid Beta amyloid levels in Alzheimer's disease. PLoS One. 2015; 10: e0125597. pmid:25938590
- 65. Cutler RG, Kelly J, Storie K, Pedersen WA, Tammara A, Hatanpaa K, et al. Involvement of oxidative stress-induced abnormalities in ceramide and cholesterol metabolism in brain aging and Alzheimer's disease. Proc Natl Acad Sci U S A. 2004; 101: 2070–2075. pmid:14970312
- 66. Błachnio-Zabielska A, Baranowski M, Wójcik B, Górski J. Reduction of ceramide de novo synthesis in solid tissues changes sphingolipid levels in rat plasma, erythrocytes and platelets. Adv Med Sci. 2016; 61: 72–77. pmid:26521206
- 67. Larsen PJ, Tennagels N. On ceramides, other sphingolipids and impaired glucose homeostasis. Mol Metabol. 2014; 3: 252–260.
- 68. Gorusupudi A, Liu A, Hageman GS, Bernstein PS. Associations of human retinal very long-chain polyunsaturated fatty acids with dietary lipid biomarkers. J Lipid Res. 2016; 57: 499–508. pmid:26764040
- 69. Acar N, Berdeaux O, Grégoire S, Cabaret S, Martine L, Gain P, et al. Lipid composition of the human eye: are red blood cells a good mirror of retinal and optic nerve fatty acids? PLoS One. 2012; 7: e35102. pmid:22496896
- 70. Abrahan CE, Miranda GE, Agnolazza DL, Politi LE, Rotstein NP. Synthesis of sphingosine is essential for oxidative stress-induced apoptosis of photoreceptors. Invest Ophthalmol Vis Sci. 2010; 51: 1171–1180. pmid:19797232
- 71. Nita M, Grzybowski A. The role of the reactive oxygen species and oxidative stress in the pathomechanism of the age-related ocular diseases and other pathologies of the anterior and posterior eye segments in adults. Oxid Med Cell Longev. 2016; 2016: 3164734. pmid:26881021
- 72. Weismann D, Hartvigsen K, Lauer N, Bennett KL, Scholl HP, Charbel Issa P, et al. Complement factor H binds malondialdehyde epitopes and protects from oxidative stress. Nature. 2011; 478: 76–81. pmid:21979047
- 73. Totan Y, Cekic O, Borazan M, Uz E, Sogut S, Akyol O. Plasma malondialdehyde and nitric oxide levels in age related macular degeneration. Br J Ophthalmol. 2001; 85: 1426–1428. pmid:11734513
- 74. Ye F, Kaneko H, Hayashi Y, Takayama K, Hwang S-J, Nishizawa Y, et al. Malondialdehyde induces autophagy dysfunction and VEGF secretion in the retinal pigment epithelium in age-related macular degeneration. Free Radic Biol Med. 2016; 94: 121–134. pmid:26923802
- 75. Seidova SF, Kotliar K, Foerger F, Klopfer M, Lanzl I. Functional retinal changes in Gaucher disease. Doc Ophthalmol. 2009; 118: 151–154. pmid:18777184
- 76. Fox TE, Han X, Kelly S, Merrill AH, Martin RE, Anderson RE, et al. Diabetes alters sphingolipid metabolism in the retina: a potential mechanism of cell death in diabetic retinopathy. Diabetes. 2006; 55: 3573–3580. pmid:17130506
- 77. Hellwage J, Kühn S, Zipfel PF. The human complement regulatory factor-H-like protein 1, which represents a truncated form of factor H, displays cell-attachment activity. Biochem J. 1997; 326: 321–327. pmid:9291099
- 78. Hynes RO. Integrins. Cell. 2002; 110: 673–687. pmid:12297042
- 79. Erdreich-Epstein A, Shimada H, Groshen S, Liu M, Metelitsa LS, Kim KS, et al. Integrins αvβ3 and αvβ5 are expressed by endothelium of high-risk neuroblastoma and their inhibition is associated with increased endogenous ceramide. Cancer Res. 2000; 60: 707–711.
- 80. Swinkels M, Zhang JH, Tilakaratna V, Black G, Perveen R, McHarg S, et al. C-reactive protein and pentraxin-3 binding of factor H-like protein 1 differs from complement factor H: implications for retinal inflammation. Sci Rep. 2018; 8: 1643. pmid:29374201
- 81. Futerman AH, Hannun YA. The complex life of simple sphingolipids. EMBO Rep. 2004; 5: 777–782. pmid:15289826
- 82. Bartke N, Hannun YA. Bioactive sphingolipids: metabolism and function. J Lipid Res. 2009; 50: S91–S96. pmid:19017611
- 83. Pandey MK, Burrow TA, Rani R, Martin LJ, Witte D, Setchell KD, et al. Complement drives glucosylceramide accumulation and tissue inflammation in Gaucher disease. Nature. 2017; 543: 108–112. pmid:28225753
- 84. Bode GH, Losen M, Buurman WA, Veerhuis R, Molenaar PC, Steinbusch HWM, et al. Complement activation by ceramide transporter proteins. J Immunol. 2014; 192: 1154–1161. pmid:24395916