Deficient ether lipid biosynthesis in rhizomelic chondrodysplasia punctata and other disorders is associated with a wide range of severe symptoms including small stature with proximal shortening of the limbs, contractures, facial dysmorphism, congenital cataracts, ichthyosis, spasticity, microcephaly, and mental disability. Mouse models are available but show less severe symptoms. In both humans and mice, it has remained elusive which of the symptoms can be attributed to lack of plasmanyl or plasmenyl ether lipids. The latter compounds, better known as plasmalogens, harbor a vinyl ether double bond conferring special chemical and physical properties. Discrimination between plasmanyl and plasmenyl ether lipids is a major analytical challenge, especially in complex lipid extracts with many isobaric species. Consequently, these lipids are often neglected also in recent lipidomic studies. Here, we present a comprehensive LC-MS/MS based approach that allows unequivocal distinction of these two lipid subclasses based on their chromatographic properties. The method was validated using a novel plasmalogen-deficient mouse model, which lacks plasmanylethanolamine desaturase and therefore cannot form plasmenyl ether lipids. We demonstrate that plasmanylethanolamine desaturase deficiency causes an accumulation of plasmanyl species, a too little studied but biologically important substance class.
Deficient ether lipid biosynthesis in rhizomelic chondrodysplasia punctata and other disorders is associated with a wide range of severe symptoms including small stature with proximal shortening of the limbs, contractures, facial dysmorphism, congenital cataracts, ichthyosis, spasticity, microcephaly, and mental disability. Mouse models are available but show less severe symptoms. In both humans and mice, it has remained elusive which of the symptoms can be attributed to lack of plasmanyl or plasmenyl ether lipids. The latter compounds, better known as plasmalogens, harbor a vinyl ether double bond conferring special chemical and physical properties. Discrimination between plasmanyl and plasmenyl ether lipids is a major analytical challenge, especially in complex lipid extracts with many isobaric species. Consequently, these lipids are often neglected also in recent lipidomic studies. Here, we present a comprehensive LC-MS/MS based approach that allows unequivocal distinction of these two lipid subclasses based on their chromatographic properties. The method was validated using a novel plasmalogen-deficient mouse model, which lacks plasmanylethanolamine desaturase and therefore cannot form plasmenyl ether lipids. We demonstrate that plasmanylethanolamine desaturase deficiency causes an accumulation of plasmanyl species, a too little studied but biologically important substance class.
In mammalia,
more than 20% of
all glycerophospholipids are considered to be ether lipids.[1] These lipids carry an ether-linked fatty alcohol
rather than an ester-linked fatty acid at the sn-1 position and occur abundantly within the lipid classes of phosphatidylethanolamines
(PE) and phosphatidylcholines (PC). Plasmalogens are a subgroup of
ether lipids and defined by a characteristic 1-O-alk-1′-enyl
ether (vinyl ether) double bond (Figure A). Although their exact functional range
still has to be fully uncovered, they have been shown to be involved
in shaping membrane properties, to act as potent antioxidants, and
to be involved in inflammatory signal transduction.[2]
Figure 1
Ether lipid and plasmalogen metabolism. (A) Structures of diacyl-phosphatidylethanolamine
(PE) and phosphatidylcholine (PC) ester lipids as well as ether lipids
characterized by 1-O-alkyl and 1-O-alk-1′-enyl (plasmalogens) substitution at the sn-1 position. (B) Biosynthesis of ether lipids and plasmalogens crucially
relies on functional peroxisomes and is dependent on fatty alcohol
availability, which is controlled by a fatty acid reductase (FAR1).
Plasmalogens are then formed in the endoplasmic reticulum by plasmanylethanolamine
desaturase (PEDS). Further enzymes are GNPAT: glycerone phosphate O-acyltransferase; AGPS: alkylglycerone phosphate synthase;
DHRS7B: alkyl/acyl DHAP reductase. Substrates: G3P: glyceraldehyde
3-phosphate; DHAP: dihydroxyacetone phosphate; CoA: coenzyme A. (C)
Degradation routes of ether lipids require prior cleavage of sn-2 residues and/or polar headgroups by phospholipases
(PLs). 1-O-Alkyl-glycerols are cleaved by alkylglycerol
monooxygenase (AGMO), while plasmalogenases degrade plasmalogens.
Both processes produce fatty aldehydes that are cleared by fatty aldehyde
dehydrogenase (FALDH).
Ether lipid and plasmalogen metabolism. (A) Structures of diacyl-phosphatidylethanolamine
(PE) and phosphatidylcholine (PC) ester lipids as well as ether lipids
characterized by 1-O-alkyl and 1-O-alk-1′-enyl (plasmalogens) substitution at the sn-1 position. (B) Biosynthesis of ether lipids and plasmalogens crucially
relies on functional peroxisomes and is dependent on fatty alcohol
availability, which is controlled by a fatty acid reductase (FAR1).
Plasmalogens are then formed in the endoplasmic reticulum by plasmanylethanolamine
desaturase (PEDS). Further enzymes are GNPAT: glycerone phosphate O-acyltransferase; AGPS: alkylglycerone phosphate synthase;
DHRS7B: alkyl/acyl DHAP reductase. Substrates: G3P: glyceraldehyde
3-phosphate; DHAP: dihydroxyacetone phosphate; CoA: coenzyme A. (C)
Degradation routes of ether lipids require prior cleavage of sn-2 residues and/or polar headgroups by phospholipases
(PLs). 1-O-Alkyl-glycerols are cleaved by alkylglycerol
monooxygenase (AGMO), while plasmalogenases degrade plasmalogens.
Both processes produce fatty aldehydes that are cleared by fatty aldehyde
dehydrogenase (FALDH).The biosynthesis of an
ether lipid starts with the synthesis of
1-O-alkyl-glycero-3-phosphate in peroxisomes (Figure B) and is impaired
in specific inherited enzyme/transporter deficiencies (rhizomelic
chondrodysplasia punctata) as well as peroxisome biogenesis disorders
(Zellweger spectrum disorders).[3] Plasmalogens
are subsequently formed in the endoplasmic reticulum from 1-O-alkyl-PE precursors by the action of the enzyme plasmanylethanolamine
desaturase (PEDS), which was only recently identified to be encoded
by TMEM189 (new gene name: Peds1).[4,5] Some neurodegenerative conditions, including Alzheimer’s
disease, are thought to be associated with impaired plasmalogen homeostasis.[6] In contrast to ester-linked acyl side chains,
alkyl and alk-1′-enyl residues cannot be readily remodeled;
instead, these lipids have to be fully degraded by dedicated enzymatic
routes (Figure C).[7−9]A well-known problem for lipidomic analysis is the differentiation
of isobaric phospholipid species, especially among ether lipids.[10,11] While alkyl and acyl species can be differentiated using a high
mass resolution, isomeric 1-O-alkyl (plasmanyl) and
1-O-alk-1′-enyl (plasmenyl) lipids cannot
be distinguished by exact masses and fragmentation patterns alone.
Especially in LC–MS/MS lipidomic experiments, this frequently
leads to inaccurate or even incorrect annotations of lipid species.
This problem is aggravated by a restricted selection of commercially
available plasmanyl and plasmenyl standards. Importantly, automated
analyses of LC–MS/MS datasets are particularly dependent on
the databases used, which often prove to be incomplete with regard
to ether lipids. Other analytical methods such as thin layer chromatography,
on the other hand, are limited to measuring pools and ratios and cannot
distinguish between individual molecular species,[12] an important aspect that would be necessary to advance
research in this field.Here, we demonstrate that the chemical
properties of 1-O-alk-1′-enyl and 1-O-alkyl ether
lipids generate a highly predictable chromatographic behavior in reversed-phase
LC–MS/MS experiments that can be readily used for the univocal
differentiation between plasmalogens and other ether lipid species.
The exact characterization of these properties was facilitated by
a comparative lipidomic analysis of plasmalogen-free Peds1 knockout mice with littermate controls. Combined with the unique
fragmentation properties of ether lipids, an exact molecular characterization
of all relevant ether lipids could be carried out. This allowed us
to map these lipids in detail across mouse tissues, thereby providing
novel insights into their metabolism.
Experimental Section
Breeding
of Peds1-Deficient Mice and Harvest
of Mouse Tissues
Mice deficient in the PEDS enzyme (Tmem189tm1a(KOMP)Wtsi
mice, Wellcome Sanger Institute, Hinxton, Cambridge, UK[45]) were bred according to ref (5) and approved by the Austrian
Federal Ministry of Education, Science and Research (BMBWF-66.011/0100-V/3b/2019). For details, see the Supporting Information.
Sample Extraction and Preparation
Sample preparation,
lipid extraction, and extract storage were performed as previously
described.[13] For details, see the Supporting Information.
LC–MS/MS Analysis
The PC/PE analysis was performed
as described in ref (14) with the modifications described in ref (15). For details, see the Supporting Information. For general LC–MS parameters, see Tables S1 and S2.
Data Analysis
Raw data visualization was done in MZmine
2 version 2.53;[16] for all further analysis
steps, we utilized our in-house data extraction pipeline written in
R.[17−19] Data processing started with an initial feature recognition according
to a retention time shift adjusted (linear weighted model using PC(34:1),
PC/E(36:2), PC/E(36:4), PC(38:2), PE(34:2), PE(38:6), PE(O/P-36:2),
PE(O/P-36:4)) peak list template (see Table S3), considering base and first isotope masses. For the boundary definition
of peaks, we assumed Gaussian typologies. Next, all features were
filtered for possible misassignments caused by isotope signals originating
from interfering abundant lipid species. Features were then baseline
corrected, followed by deconvolution and correct annotation of isobaric
signals with comparable retention times according to reference peaks
(standards and confirmed features). If a molecular species could not
be automatically resolved in this manner, the peak was flagged and
manually curated by consideration of MS2 data, retention
time, and technical/biological replicates. The identity of each peak
was thus confirmed by retention time, m/z, fragmentation behavior, and cross-validation with lipid standards.
The standards used were purchased from Avanti Polar Lipids (Alabaster,
Alabama) and included ether lipids (PC(P-18:0/18:1), PC(P-18:0/22:6),
PC/E(O-16:0/18:1), PE(P-18:0/18:1), and PC(P-18:0/20:4)), as well
as the diacyl lipids (PC/E(14:0/14:0), PC/E(18:1/18:1). To account
for the nonlinear relationship between lipid concentration and peak
area values, peak areas were transformed into semiquantitative values
via an external standard series in a lipid-class-dependent manner
by quadratic regression. A potential impact of side chain substitution
and ester vs ether bond on the ionization efficiency was not measurable
and thus lower than the technical variability. Finally, data was normalized
to the total response in each lipid class per sample and then analyzed
according to biological replicates and used for data visualization.
If not stated otherwise, data is presented as mean ± standard
deviation (SD). For principal component analysis (PCA), data was aggregated
as indicated in Figure A,B and analyzed using the R stats prcomp function with scaled and
centered values.[18]
Figure 5
Ether lipid composition in wild type and Peds1-deficient
mouse tissues. (A) Principal component analysis (PCA)
of a mouse-centered lipidomic dataset separates Peds1-deficient (ΔPeds1) and wild type (wt) mice
in principal component 1 (Dim1; 48.2% of variance) and female and
male mice in principal component 2 (Dim2; 17.5% of variance). (B)
PCA of individual tissue-centered dataset does not separate samples
according to sexes (left) but discriminates between ΔPeds1 and wt tissues in principal component 2 (Dim2; 15.3% of variance;
center). Additionally, the various tissues are separated by Dim2 and
the principal component 1 (Dim1; 18.2% of variance; right). Tissues:
CER: cerebrum, CBL: cerebellum; COL: colon; HRT: heart; KID: kidney;
LIV: liver; LUN: lung; OVA: ovaries; SKM: skeletal muscle; SPL: spleen;
TES: testes. (C) Content of ether lipids in wild type and ΔPeds1 tissues. Percentage of 1-O-alk-1′-enyl (red: wild type; gray: ΔPeds1) and 1-O-alkyl (blue: wild type; light blue: ΔPeds1) species related to total PE and PC lipids.
Data shown as mean ± SD (n = 3). (D) Correlation
between 1-O-alk-1′-enyl species in wild type
and their corresponding 1-O-alkyl species in ΔPeds1 determined by linear regression. Each dot represents
one 1-O-alk-1′-enyl–1-O-alkyl pair in a tissue. Data includes all tissues shown in (B) visualized
as log10 values. (E) Content of fatty acyls (FA) 20:4 (left panel)
and FA 22:6 (right panel), relative to the respective total PE acyl
pool (excluding 1-O-alkyl and 1-O-alk-1-enyl residues), shown for all tissues listed in (B) ordered
according to (C). Coloring scheme: red: ΔPeds1 female; light red: ΔPeds1 male; blue: wild
type female; light blue: wild type male. Data shown as mean ±
SD (n = 3).
Data Availability
Datasets have been deposited (see Dataset S1).
Results
Highly reliable reference material is required
to validate the
deconvolution of 1-O-alk-1′-enyl and 1-O-alkyl features in LC–MS/MS experiments. As the
availability of commercial standards is limited, we here utilized
tissue material of Peds1-deficient (ΔPeds1) mice that accumulate plasmanyl lipids instead of
plasmalogens (Figure S1). We first focused
on kidney lipid extracts, as this tissue presented the highest PEDS
expression and activity levels.[5]Phospholipids were extracted and analyzed by LC–MS/MS as
described previously,[15] and the retention
time and m/z characteristics of
all features were compared. While some m/z overlap problems between plasmenyl-PC and phosphatidylserines
or PE species can be readily discriminated by measuring with resolving
powers larger than 21 000 and 14 000, respectively (calculated
via the IUPAC doublet method with 10% peak overlap[20]), the truly isomeric nature of plasmanyl and plasmenyl
PE/PC species remains a major analytical challenge. The similarity
of these functionally distinct lipids in terms of m/z ratio and fragmentation behavior makes it especially
difficult for automated peak identification software to deliver correct
results.As illustrated in Figure A, wild type (wt) kidney samples contained
high levels of
plasmenyl-PEs (left panel: PE(P-38:4), PE(P-38:5), PE(P-38:6) in red),
which were absent in ΔPeds1 kidneys, where
instead the respective plasmanyl-PE species accumulated (right panel:
PE(O-38:4), PE(O-38:5), PE(O-38:6) in blue). For other non-ether lipid
species such as PE(36:2), PE(36:3), PE(36:4), and sphingomyelin(d34:1),
we observed no differences in abundance (Figure A, center panel, black color). For PC ether
lipids, a highly comparable behavior was observed (Figure B), however, with the striking
difference that plasmanyl-PC species (PC(O-34:1), PC(O-34:2), PC(O-34:3))
were already much more abundant in the wild type compared to plasmenyl-PC
lipids (PC(P-34:1), PC(P-34:2), PC(P-34:3)).
Figure 2
Annotation of plasmanyl
and plasmenyl lipids by means of HPLC–MS/MS.
(A) 2D illustration of the MS1 data for wild type lipid extracts in
the retention time range of 3.25–6.5 min versus the mass window
of 735–755 m/z. This section
mainly includes PE ether lipids with 38 side chain carbons and diacyl-PEs
with 36 side chain carbons. Signals recorded in wild type and Peds1-deficient (ΔPeds1) kidneys
are shown in red (left panel) and blue (right panel), respectively.
Color intensity corresponds to the respective signal intensities as
assigned by MZmine 2. An overlay of wild type and ΔPeds1 is shown in the central panel, with no differences being indicated
in black. Black arrows indicate pairs of 1-O-alkyl
and 1-O-alk-1′-enyl species that only differ
in the vinyl ether double bond. Dashed black lines show retention
time differences between selected features. Outline color scheme:
red: 1-O-alk-1′-enyl species; blue: 1-O-alkyl species; gray: diacyl species. (B) Same as (A) but
for the mass window of 780–800 m/z. This section mainly includes PC ether lipids with 34 side chain
carbons and diacyl-PEs with 40 side chain carbons. One representative
example of at least three biological replicates is shown for (A) and
(B).
Annotation of plasmanyl
and plasmenyl lipids by means of HPLC–MS/MS.
(A) 2D illustration of the MS1 data for wild type lipid extracts in
the retention time range of 3.25–6.5 min versus the mass window
of 735–755 m/z. This section
mainly includes PE ether lipids with 38 side chain carbons and diacyl-PEs
with 36 side chain carbons. Signals recorded in wild type and Peds1-deficient (ΔPeds1) kidneys
are shown in red (left panel) and blue (right panel), respectively.
Color intensity corresponds to the respective signal intensities as
assigned by MZmine 2. An overlay of wild type and ΔPeds1 is shown in the central panel, with no differences being indicated
in black. Black arrows indicate pairs of 1-O-alkyl
and 1-O-alk-1′-enyl species that only differ
in the vinyl ether double bond. Dashed black lines show retention
time differences between selected features. Outline color scheme:
red: 1-O-alk-1′-enyl species; blue: 1-O-alkyl species; gray: diacyl species. (B) Same as (A) but
for the mass window of 780–800 m/z. This section mainly includes PC ether lipids with 34 side chain
carbons and diacyl-PEs with 40 side chain carbons. One representative
example of at least three biological replicates is shown for (A) and
(B).Next, we systematically analyzed
these analytical properties of
alk-1′-enyl versus alkyl lipids. A series of PE and PC plasmanyl
and plasmenyl species were identified, while no atypical ethers were
observed.[21] In wt kidney, mainly 1-O-alk-1′-enyl species were detected (Figure A, red trace), while in ΔPeds1 kidney, 1-O-alkyl ether lipids dominated
(Figure A, blue trace).
At 750.6 m/z, four isomeric ether
lipid species were identified as [I] PE(O-18:1/20:4), [II] PE(P-18:0/20:4),
[III] PE(O-16:0/22:5), and [IV] PE(P-16:0/22:4) (Figure A). This demonstrated that
the Δ1 double bond in [II] and [IV] leads to a clearly different
separation behavior than a double bond further back in the radyl residue
at the sn-1 [I] or sn-2 [III] position.
Figure 3
Discrimination
between 1-O-alkyl and 1-O-alk-1′-enyl
lipids by LC–MS/MS. (A) The
isomeric ether lipids [I] PE(O-18:1/20:4), [II] PE(P-18:0/20:4), [III]
PE(O-16:0/22:5), and [IV] PE(P-16:0/22:4) could be separated by reversed-phase
chromatography. The vinyl ether caused a characteristic retention
time (RT) shift different from other double bonds in radyl residues.
Blue trace: ΔPeds1, red trace wild type. (B)
Systematic analysis of relative RT differences for acyl chain elongation
(+2 CH2), an additional acyl chain double bond (+1 DB (>Δ4)),
additional vinyl ether double bonds (+1 DB (Δ1)), and between
1-O-alk-1′-enyl and 1-O-alkyl
lipids (1-O-alk-1′-enyl/1-O-alkyl) in 6–10 relevant lipid species each (n = 12) showed the effects of double bonds and chain lengths on elution
time. (C) Left panel: Collision-induced dissociation (CID) fragment
spectra of [I] (blue) and [III] (red) are indistinguishable. One representative
spectrum is shown each. Right panel: Structures of [I] and [III],
with the differential double bond highlighted in red. (D) Left panel:
CID fragment spectra of [II] (blue) and [IV] (red) are distinguishable.
One representative spectrum is shown each. Right panel: Structures
of [II] and [IV], with the differential double bond highlighted in
red.
Discrimination
between 1-O-alkyl and 1-O-alk-1′-enyl
lipids by LC–MS/MS. (A) The
isomeric ether lipids [I] PE(O-18:1/20:4), [II] PE(P-18:0/20:4), [III]
PE(O-16:0/22:5), and [IV] PE(P-16:0/22:4) could be separated by reversed-phase
chromatography. The vinyl ether caused a characteristic retention
time (RT) shift different from other double bonds in radyl residues.
Blue trace: ΔPeds1, red trace wild type. (B)
Systematic analysis of relative RT differences for acyl chain elongation
(+2 CH2), an additional acyl chain double bond (+1 DB (>Δ4)),
additional vinyl ether double bonds (+1 DB (Δ1)), and between
1-O-alk-1′-enyl and 1-O-alkyl
lipids (1-O-alk-1′-enyl/1-O-alkyl) in 6–10 relevant lipid species each (n = 12) showed the effects of double bonds and chain lengths on elution
time. (C) Left panel: Collision-induced dissociation (CID) fragment
spectra of [I] (blue) and [III] (red) are indistinguishable. One representative
spectrum is shown each. Right panel: Structures of [I] and [III],
with the differential double bond highlighted in red. (D) Left panel:
CID fragment spectra of [II] (blue) and [IV] (red) are distinguishable.
One representative spectrum is shown each. Right panel: Structures
of [II] and [IV], with the differential double bond highlighted in
red.By a pairwise comparison of 6–10
matching lipid species
(n = 12) we characterized the general separation
behavior (Figure B
and Table S4). The elongation of a lipid
side chain by two carbons resulted in a mass shift of +28 and prolonged
the retention time by 28.9 ± 2.7% (71.1 ± 7.4 s). One additional
double bond in an acyl or alkyl side chain caused a mass shift of
−2 and a shortening of the retention time by 23.4 ± 1.8%
(56.8 ± 2.8 s). However, an additional vinyl ether double bond
only reduced the retention time by 3.3 ± 1.2% (10.2 ± 3.9
s). In line with these observations, alk-1′-enyl lipids elute
17.0 ± 1.1% (49.5 ± 6.7 s) earlier than the corresponding
isomeric alkyl species (45 and 57 s in Figure A). This effect was observed in PE as well
as PC and was thus largely lipid-class-independent.Furthermore,
our analysis revealed that a series of isomeric 1-O-alk-1′-enyl and 1-O-alkyl lipids
such as (I) and (II) have identical fragmentation patterns in negative
ESI mode (Figure C).
The almost exclusive fragmentation of the sn-2 position
in ether lipids matched previous observations.[22] Fragment spectra of PE ether lipids generated m/z signals corresponding either to the neutral loss
of the sn-2 acyl chain or the sn-2 residue itself (Figure S2). Common
PC ether lipid fragments were headgroup loss (−60 m/z) and low-intensity sn-2 acyl
chain signals. It follows that fragment spectra allow double bonds
to be assigned to either sn-1 or sn-2 residues (329.2 vs. 331.3 m/z fragments, Figure D).Next, we utilized these characteristics to comprehensively
annotate
and quantify plasmanyl and plasmenyl lipids in male and female mouse
tissues. Diacyl-PEs (Figure A, left panel) were largely similar between male and female
as well as ΔPeds1 and wt kidneys. While 1-O-alk-1′-enyl-PEs (right panel) were abundant in
the wt, they were absent in ΔPeds1 kidneys,
where 1-O-alkyl-PE species (center panel) accumulated
instead. A broad diversity of different 1-O-alk-1′-enyl-PE
species could be identified in wt kidneys but only a few of which
made up most of the plasmalogen mass (i.e., PE(P-36:4), PE(P-38:4),
PE(P-38:6), PE(P-40:6), and PE(P-40:7)). The same molecular lipid
species, only lacking the vinyl ether bond, were accumulated in ΔPeds1 kidneys. This shows a strong direct relationship between
the availability of 1-O-alkyl precursors and 1-O-alk-1′-enyl products of the PEDS reaction.
Figure 4
PE (A) and
PC (B) in wild type and Peds1-deficient
kidney. Lipid classes are subdivided into diacyl (left panel), 1-O-alkyl (center), and 1-O-alk-1′-enyl
(right) species. Relative abundance profiles (in % of total PE or
PC) are shown for wild type (wt) and Peds1-deficient
(ΔPeds1) kidneys from female (♀) and
male (♂) mice. Data is shown as mean ± SD (n = 3). Selected lipid species are labeled: “O-” and
“P-” indicating 1-O-alkyl and 1-O-alk-1′-enyl species, respectively. Numbers in parentheses
give the total number of side chain carbon atoms (carb), followed
by the number of double bonds (DB). Please note the axis break in
(A).
PE (A) and
PC (B) in wild type and Peds1-deficient
kidney. Lipid classes are subdivided into diacyl (left panel), 1-O-alkyl (center), and 1-O-alk-1′-enyl
(right) species. Relative abundance profiles (in % of total PE or
PC) are shown for wild type (wt) and Peds1-deficient
(ΔPeds1) kidneys from female (♀) and
male (♂) mice. Data is shown as mean ± SD (n = 3). Selected lipid species are labeled: “O-” and
“P-” indicating 1-O-alkyl and 1-O-alk-1′-enyl species, respectively. Numbers in parentheses
give the total number of side chain carbon atoms (carb), followed
by the number of double bonds (DB). Please note the axis break in
(A).Like diacyl-PE, also diacyl-PC
profiles were largely unaffected
by the knockout of PEDS function (Figure B). However, in contrast to PEs, where plasmalogens
dominated, we observed 13.5 times higher 1-O-alkyl-PC
than 1-O-alk-1′-enyl-PC levels in wt kidneys.
This is the quantified confirmation of the low wt levels of PC plasmalogens
as depicted in the example of Figure B. Additionally, 1-O-alk-1′-enyl-PC
levels were further depleted in ΔPeds1 samples.Besides kidney (KID), also cerebellum (CBL), cerebrum (CER), colon
(COL), testes (TES), spleen (SPL), lung (LUN), heart (HRT), ovaries
(OVA), skeletal muscle (SKM), and liver (LIV) were analyzed and showed
a comparable behavior (Dataset S1). Principal
component analysis (PCA) of whole mouse lipid profiles (sequence of
all tissue lipid profiles excluding TES and OVA) revealed that wt
and ΔPeds1 were separated by component 1 (Dim1)
capturing 48.2% of the variance (Figure A). Component
2 (Dim2) explained 17.5% of variance and distinguished between female
(f) and male (m) mice, indicating that even without reproductive organs,
enough gender-specific differences remain. A further PCA was conducted
between the lipid profiles of all individual tissues (Figure B). The variance in this dataset
was not explained by differences between female and male mice (left
panel) but was mainly caused by differences in PEDS function (center
panel) in combination with the nature of the respective tissue (right
panel).Ether lipid composition in wild type and Peds1-deficient
mouse tissues. (A) Principal component analysis (PCA)
of a mouse-centered lipidomic dataset separates Peds1-deficient (ΔPeds1) and wild type (wt) mice
in principal component 1 (Dim1; 48.2% of variance) and female and
male mice in principal component 2 (Dim2; 17.5% of variance). (B)
PCA of individual tissue-centered dataset does not separate samples
according to sexes (left) but discriminates between ΔPeds1 and wt tissues in principal component 2 (Dim2; 15.3% of variance;
center). Additionally, the various tissues are separated by Dim2 and
the principal component 1 (Dim1; 18.2% of variance; right). Tissues:
CER: cerebrum, CBL: cerebellum; COL: colon; HRT: heart; KID: kidney;
LIV: liver; LUN: lung; OVA: ovaries; SKM: skeletal muscle; SPL: spleen;
TES: testes. (C) Content of ether lipids in wild type and ΔPeds1 tissues. Percentage of 1-O-alk-1′-enyl (red: wild type; gray: ΔPeds1) and 1-O-alkyl (blue: wild type; light blue: ΔPeds1) species related to total PE and PC lipids.
Data shown as mean ± SD (n = 3). (D) Correlation
between 1-O-alk-1′-enyl species in wild type
and their corresponding 1-O-alkyl species in ΔPeds1 determined by linear regression. Each dot represents
one 1-O-alk-1′-enyl–1-O-alkyl pair in a tissue. Data includes all tissues shown in (B) visualized
as log10 values. (E) Content of fatty acyls (FA) 20:4 (left panel)
and FA 22:6 (right panel), relative to the respective total PE acyl
pool (excluding 1-O-alkyl and 1-O-alk-1-enyl residues), shown for all tissues listed in (B) ordered
according to (C). Coloring scheme: red: ΔPeds1 female; light red: ΔPeds1 male; blue: wild
type female; light blue: wild type male. Data shown as mean ±
SD (n = 3).Next, we analyzed the total 1-O-alkyl and 1-O-alk-1′-enyl content in tissues. In wt mice, the
cerebrum and cerebellum had the highest total ether lipid content
(22.1 and 19.9% of total PC and PE, respectively), which to a large
extent consisted of 1-O-alk-1′-enyl-PEs (Figure C, red bars). In
contrast, the liver was almost depleted of ether lipids (0.7% of total
PC and PE). PE ether lipids were notably more abundant than PC ether
lipids across all tissues. Typically, only low levels of 1-O-alkyl-PE species were found, with the exception of the
testes and ovaries. Increased levels of PC ether lipids were present
as 1-O-alkyl species in kidney, spleen, and colon
(Figure C, blue bars).
Upon Peds1-deficiency, we observed a quantitative
depletion of 1-O-alk-1′-enyl species (Figure C, gray bars). Instead,
1-O-alkyl-PEs accumulated in ΔPeds1 tissues (Figure C, light blue bars), partially to even higher levels than their 1-O-alk-1′-enyl counterparts in wt (e.g., spleen: 2-fold;
testes: 2.9-fold; ovaries: 2.3-fold). A comparable effect, only at
a significantly lower basic level, could also be measured with PCs.
A consistent correlation between wt 1-O-alk-1′-enyl-PE
and ΔPeds1 1-O-alkyl-PE species
was found across tissues (Figure D). This showed that the profile similarity observed
in kidney (Figure ) follows a general, tissue-independent behavior.The fragmentation
behavior of PE lipids and a high MS/MS coverage
allowed carrying out a radyl-chain-specific analysis in this lipid
class. Side chain information for PEs was automatically extracted
from 25 923 relevant fragment spectra and used to determine
the overall acyl composition in diacyl-PEs and the sn-1/sn-2-specific substitution patterns in ether
lipids. The sn-1 position of ether lipids was substituted
mainly by 16:0, 18:0, and 18:1 fatty alcohols (Dataset S1). In contrast, the major sn-2
residues in plasmanyl- and plasmenyl-PEs were fatty acyls (FA) FA
20:4 and FA 22:6, which was in line with their described preference
for arachidonic and docosahexaenoic acid (Dataset S1). Their distribution was, however, not homogeneous across
tissues. While the cerebrum, cerebellum, and heart had high FA 22:6
and low FA 20:4 levels, we observed the opposite in the colon and
spleen (Figure E).
Furthermore, the content of FA 22:6 was considerably higher in male
than in female kidneys, whereas FA 20:4 was more common in female
kidneys (Figure E).
This is in line with the differences we observed for PE(O-38:4), PE(O-38:6),
PE(P-38:4), and PE(P-38:6) in the lipid composition of male and female
kidneys (Figure ).
Discussion
We report a reliable strategy for discriminating between plasmanyl
and plasmenyl ether lipids in LC–MS/MS workflows, by exploiting
their predictable chromatographic properties. Importantly, no specialized
mass spectrometric infrastructure is required, and this strategy is
compatible also with low-resolution instruments without fragmentation
capacity. The consistent implementation of these principles can contribute
strongly toward advancing with the core goals of comprehensive lipidomics,
which are to achieve the highest possible coverage in terms of identification
and quantification coupled with complete structural elucidation.An exact assignment of ether lipid species is important, as they
make up a considerable portion of the phospholipid mass in mammals
as shown here (Figure B) and by others.[2,1] Ether lipid deficiency is thought
to be the main cause of the phenotypes of rhizomelic chondrodysplasia
punctata and of Zellweger spectrum disorders.[23,3] Still,
the functional role of the vinyl ether double bond remains elusive.[24] Also, it has not been studied in detail whether
plasmalogen depletion—reported in some neurodegenerative diseases[6]—is accompanied by changes in 1-O-alkyl lipids in a parallel or opposing manner.[24] The comprehensive analytical solution for studying
ether lipids will enable a detailed exploration of the physiological
functions of this lipid class.A major bottleneck is the small
number of commercially available
ether lipid standards. Mild acid hydrolysis and chemical derivatization
strategies can help with the assignment of 1-O-alkyl
and 1-O-alk-1′-enyl lipids but do not provide
any information about the behavior of the respective other bond type.[25,26] Due to the recent identification of the Peds1 gene,[4,5] plasmalogen-free and 1-O-alkyl ether lipid enriched
sample material is now available. This made the here shown extensive
validation of ether lipid annotation in LC–MS/MS experiments
possible.As demonstrated in Figures and 3, 1-O-alkyl
and 1-O-alk-1′-enyl lipids cannot be readily
discriminated purely on the basis of exact mass and MS/MS fragment
spectra. While positive ESI mode only provides limited side chain
information,[27] the here used negative mode
gives specific details about the sn-1 and sn-2 residues by exploiting that 1-O-alkyls
and 1-O-alk-1′-enyls are exceptionally resistant
against fragmentation.[22] In some cases,
if the sn-1 residue does not contain a double bond,
this lipid can be directly identified as an ether lipid. However,
in general, further information is required to differentiate between
a vinyl ether and a double bond further within the fatty acyl chain.
We here demonstrated that a vinyl-ether-specific retention time offset
can be utilized for this discrimination (Figure ). Vinyl ether containing lipids can be readily
separated for other isomers by approximately 50 s, even in short reversed-phase
gradients. This behavior is predictable and was consistent for different
molecular lipid species and lipid classes. This makes it immediately
relevant for automated analyses of LC–MS/MS datasets and can
be synergistically used in combination with further techniques, such
as MS3 (or MS4) experiments.[22] The benefits of this principle are demonstrated by its
successful application in the lipidomics analysis of various mouse
tissues (Figure ).The same physiological properties that functionally differentiate
plasmalogens from other ether lipids—e.g. with regard to their
impact on membrane fluidity[28] —are
potentially responsible for the different chromatographic behavior
of these lipids. This was already exploited in 2D thin layer chromatography
experiments[29] but did not allow separation
of 1-O-alkyl from diacyl lipids without additional
chemical degradation procedures. Similarly, high-resolution 31P nuclear magnetic resonance cannot differentiate between 1-O-alkyl from diacyl lipids, although it recognizes plasmalogens
as a separate feature.[30]The annotation
of ether lipids is often based on assumptions. This
is not an isolated problem but also extends, for example, to the exact
assignment of the sn-1 and sn-2
side chains or double bond positions.[31] Although desirable, it is rare that such ambiguities are communicated
precisely or are considered in data analysis.[10] As a consequence, even in otherwise well-performed lipidomic studies,
the abundant ether lipids are not mentioned.[32] Even in the absence of supporting structural data, the identification
as a plasmalogen is typically given priority over other ether lipids.
Fortunately, this default preference is in agreement with the strong
overrepresentation of 1-O-alk-1′-enyl-PE species
as demonstrated by us (Figure ) and elsewhere.[33] In contrast,
1-O-alkyl species are more frequent for PC lipids
(Figure ). Special
caution is also required when studying conditions that cause a disturbed
plasmanyl and plasmenyl metabolism, such as oxidative stress, for
which plasmalogens are especially susceptible,[34,35] or the here presented extreme case of Peds1-deficiency.PE and PC ether lipids have long been of scientific interest and
were studied with special focus on 1-O-alk-1′-enyl
species in various organisms and tissues.[2,36] Several
of these studies report conflicting results. For example, some studies
report PE plasmalogens range from 12 to 48% of all phospholipids in
mammalian heart tissue,[36] while others
claimed particularly high PC plasmalogen levels.[23,37] This led to the conclusion that 1-O-alk-1′-enyl
PEs are typically about one order of magnitude more abundant than
1-O-alk-1′-enyl PCs, with the exception of
muscle and heart.[38] In contrast, we observed
a PE to PC plasmalogen ratio of 11.5 in murine heart. Many early studies
relied on ether lipid quantification methods such as thin layer chromatography
or selective plasmalogen cleavage and derivatization,[39] which can easily be distorted by free fatty aldehydes.[13] Indeed, in a more recent LC–MS/MS based
study, a PE to PC plasmalogen ratio of about 20 was recorded in hearts
from 8 month old rats.[33] However, not all
differences can and should be attributed to technical inaccuracies.
It has been shown that tissue ether lipid levels—including
heart—were highly responsive to dietary alkyl-glycerols.[40] Thus, a strong nutritional component exists
in addition to the species- and tissue-dependent differences. Furthermore,
we find sex differences in several tissues of the mouse (Figure A/B). It is well-documented
that lipid metabolism differs widely between the sexes.[41] For ether lipid metabolism, a 3.6-fold difference
in alkylglycerol monooxygenase in the livers of male versus female
rats has been found.[42] Much of this is
still unexplored and requires precise, robust, and reliable analytical
strategies for future functional studies.While the total amount
of plasmalogens can be readily measured
by cleavage of the vinyl ether bond in hydrochloric acid and derivatization
of the resulting aldehyde to a dimethyl acetal and MS detection[40] or derivatization of a fluorescent hydrazone
and fluorescence detection,[13] 1-O-alkyl lipid concentrations are monitored less frequently,
although they may be equally important. As demonstrated in Figure C, PE ether lipids
occur mostly as plasmalogens except for testes, where we find equal
amounts of 1-O-alkyl and 1-O-alk-1′-enyl
PE species. In testes, seminolipid is formed, which is a complex ether
lipid without a vinyl ether bond and is required for male fertility
and sperm maturation.[43] Remarkably, male
ΔPeds1 knockout mice are fertile,[44,5] indicating that no vinyl ether bond is required for this function.
In Peds1-deficient tissues such as spleen, testes,
and ovaries 1-O-alkyl lipids accumulate to even higher
levels than the total ether lipid content in the wild type (Figure B). This has to be
accounted for when interpreting respective phenotypes. Since many
1-O-alkyl species only accumulate under specific
conditions, it is particularly important that the analytical behavior
shown here (Figure ) can be utilized to discover and identify them.Our work adds
a promising and easy-to-implement strategy to map
all types of ether lipids and understand their role in physiology
and pathophysiology in the future, by allowing a more comprehensive
characterization of their relative and absolute quantities and studying
their regulation in healthy and diseased states.
Authors: Pedro Brites; Ana Sofia Ferreira; Tiago Ferreira da Silva; Vera F Sousa; Ana R Malheiro; Marinus Duran; Hans R Waterham; Myriam Baes; Ronald J A Wanders Journal: PLoS One Date: 2011-12-06 Impact factor: 3.240
Authors: Gregor Oemer; Jakob Koch; Yvonne Wohlfarter; Mohammad T Alam; Katharina Lackner; Sabrina Sailer; Lukas Neumann; Herbert H Lindner; Katrin Watschinger; Markus Haltmeier; Ernst R Werner; Johannes Zschocke; Markus A Keller Journal: Cell Rep Date: 2020-03-24 Impact factor: 9.995