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. Author manuscript; available in PMC: 2018 Feb 1.
Published in final edited form as: Prostaglandins Leukot Essent Fatty Acids. 2017 Jan 19;117:17–27. doi: 10.1016/j.plefa.2017.01.004

Identification and Profiling of Specialized Pro-Resolving Mediators in Human Tears by Lipid Mediator Metabolomics

Justin T English a,*, Paul C Norris a,*, Robin R Hodges b, Darlene A Dartt b, Charles N Serhan a,**
PMCID: PMC5329889  NIHMSID: NIHMS850289  PMID: 28237084

Abstract

Specialized pro-resolving mediators (SPM), e.g. Resolvin D1, Protectin D1, Lipoxin A4, and Resolvin E1 have each shown to be active in ocular models reducing inflammation. In general, SPMs have specific agonist functions that stimulate resolution of infection and inflammation in animal disease models. The presence and quantity of SPM in human emotional tears is of interest. Here, utilizing a targeted LC-MS-MS metabololipidomics based approach we document the identification of pro-inflammatory (Prostaglandins and Leukotriene B4) and pro-resolving lipid mediators (D-series Resolvins, Protectin D1, and Lipoxin A4) in human emotional tears from 12 healthy individuals. SPMs from the Maresin family (Maresin 1 and Maresin 2) were not present in these samples. Principal Component Analysis (PCA) revealed gender differences in the production of specific mediators within these tear samples as the SPMs were essentially absent in these female donors. These results indicate that specific SPM signatures are present in human emotional tears at concentrations known to be bioactive. Moreover, they will help to further appreciate the mechanisms of production and action of SPMs in the eye, as well as their physiologic roles in human ocular disease resolution.

Keywords: Lipid Mediators, Omega-3 fatty acids, inflammation, resolution, resolvins, protectins

1. Introduction

The resolvins and the other specialized pro-resolving mediators (SPM) protectins and maresins were initially uncovered in the resolution phase of acute inflammatory responses as molecules that carry unique bioactions to resolve inflammation. These include: a) limiting neutrophilic infiltration in tissues; b) enhancing macrophage uptake of apoptotic cells and microbial clearance; and c) stimulating tissue regeneration [reviewed in ref. 1]. The SPM include four families of mediators with potent actions: lipoxins, resolvins, protectins and maresins. Each family and their members are structurally distinct and display stereospecific actions and biosynthetic mechanisms [1]. The lipoxins are biosynthesized from arachidonic acid. The resolvins are biosynthesized from the omega-3 (n-3) essential fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) [1] and are produced via two main pathways from these substrates to give E-series resolvins from EPA (RvE1, RvE2 and RvE3) and DHA-derived D-series resolvins (e.g., resolvin D1, resolvin D2, resolvin D3, resolvin D4, resolvin D5 and resolvin D6), with each member possessing unique structures and potent functions in vivo in animal models of disease and with isolated human cells [1].

In addition to SPM production during resolution of inflammation, increasing evidence indicates that SPM are also produced in human tissues rich in omega-3 essential fatty acids [2]. For example, these tissues, to name a few, include human blood [3, 4], lymph nodes [4], human brain [5], human placenta [6], breast milk [7, 8] and human kidney [2]. The SPM are clearly endogenous mediators that, given their presence in human organs and tissues, may have additional physiologic roles in their tissue of origin in addition to their functions in activating endogenous resolution circuits in inflammation.

The lipoxin A4 receptor is present in human corneal epithelial cells [9], where lipoxin A4 was found to display potent protective actions in murine eye wound repair [10] and in autoimmune dry eye disease [11, 12]. The n-3-PUFA-derived SPM such as resolvin D1, resolvin E1 and neuroprotectin D1 are also produced in murine models of eye disease and are increased with supplementation of EPA and DHA in the diet [13]. Both E-series resolvins and D-series resolvins have potent actions in the anterior as well as posterior ocular function [1417], suggesting that the local production of SPM may control specific ocular functions. Along these lines, resolvin D1 reduces uveitis in rat eye [17], lipoxin A4 stimulates corneal wound healing [18, 19], resolvin E1 reduces ocular inflammation [20] and corneal inflammation [16] and regulates retinal neovascularization [13], and resolvin D1 and lipoxin A4 regulate pain [21] and histamine-stimulated conjunctival goblet cell mucin secretion [11, 22]. Together, these findings provide evidence for a potential role of endogenous SPM in ocular function.

Tear fluid can serve as a means to identify and monitor novel biomarkers in ocular and systemic disease that can also be used in personalized medicine and for prevention [23]. The omega-3 (DHA and EPA) and omega-6 (arachidonic acid) fatty acid precursors are present in human tears and have been shown to correlate with clinical measures of dry eye systems in humans [24]. Recently, we have operationalized the identification and profiling of lipid mediators from arachidonic acid – prostaglandins, leukotrienes and lipoxins [25] – as well as n-3-derived SPM, resolvins, protectins and maresins in human tissues employing rigorous LC-MS-MS-based profiling and matching (> six diagnostic ions) with authentic standards [4, 26]. Because human tears contain many autacoids [27], in the present report we profiled LM and SPM and identified resolvins and SPM at bioactive concentrations in human tears.

2. Materials and Methods

Human tears, acquired through an induction of an emotional response and immediately frozen at -20°C, were purchased from Lee Biosolutions (Maryland Heights, MO USA). These samples were analyzed in accordance with Partners Human Research Committee Protocol 1999P001279. All were de-identified; 6 samples from male donors and 6 samples from females. Prior to solid phase extraction (vide infra), all tear samples were stored at −80°C. All purchased samples were recorded as having a fixed initial volume of 100 μL. Lipid mediator metabololipidomics was carried out; first, the human emotional tear samples (100 μl each) were thawed on an ice-water bath. Prior to sample extraction, 5 deuterium labeled internal standards were added to each sample: d8-5-HETE, d5-RvD2, d5-LXA4, d4-LTB4, d4-PGE2 (500 pg each; Cayman Chemical, Ann Arbor, MI) along with two volumes of ice-cold LC-MS-MS grade methanol (EMD Millipore, MA USA). These labeled standards were added for quantification and recovery of endogenous tear lipid mediators. Samples were then covered on ice for approximately 45 minutes to allow for protein precipitation, followed by centrifugation (1,000g, 10 min, 4°C). Supernatants were collected from each sample, and solid phase extraction (SPE) was carried out according to optimized and reported methods as in [4]. Briefly, the samples were expeditiously acidified to an apparent pH 3.5, loaded onto Isolute C18 SPE 500 mg cartridges (Biotage, Charlotte, NC USA), and rapidly neutralized using double-distilled H2O, followed by a 6 mL hexane wash step. Methyl formate fractions were concentrated in a gentle stream of nitrogen gas (N2) contained within an automated evaporator (TurboVap LV, Biotage). Products eluted within the methyl formate fraction from solid phase extractions were then rapidly suspended in a 50:50 mixture of 50μL Methanol/Water prior to injection for LC-MS-MS.

2.1 LM-Metabololipidomics: LC-MS-MS Acquisition Parameters

The resulting samples were then taken and injected into the liquid chromatography-tandem mass spectrometry system. This system consisted of a Qtrap 5500 (Sciex) equipped with a Shimadzu LC-20AD HPLC (Tokyo, Japan). The column was a Poroshell 120 EC-18 column (100 mm × 4.6 mm × 2.7 μm; Agilent Technologies, Santa Clara, CA, USA), jacketed in a column oven regulated at 50°C. The mobile phases used were A) LC-MS-MS grade water (Fisher Chemical, NJ, USA) in a ratio of 99.99% H2O: 0.01% acetic acid, and B) LC-MS-MS grade methanol (Fisher Chemical, NJ, USA) with the same ratio 99.99% MeOH: 0.01% acetic acid. LMs were eluted in a gradient of methanol/water (50/50, vol/vol) from 0 to 2 minutes, and then changed to methanol/water 80/20, vol/vol from 2 to 14.50 minutes, and the third segment was increased to methanol/water 98/2, vol/vol from 14.60 minutes to 20 minutes (0.5 mL/min flow rate).

Targeted MRM (multiple reaction monitoring) and EPI (enhanced product ion) were utilized in order to quantify the mediator levels. The criteria used for identification included MS-MS matching to at least 6 diagnostic and signature ion fragments per molecule that match those of authentic and synthetic standards [4]. The limits of detection for this instrumentation were ~0.1 picograms, and therefore lipid mediators that were below this value were deemed to be non-detectable. For EPI, the scan rate was set at 10,000 Da/s. The operating polarity for the targeted MS/MS was set in negative mode, with a MRM detection window of 90 seconds and targeted scan time of 0.5 seconds per lipid mediator. Further specific parameters of EPI were as follows: Declustering Potential (DP) set at −80.0; Entrance Potential (EP) set at −10.0; Collision Energy (CE) set at −24.0; and Collision Energy Spread (CES) set at 0.0. These settings were used throughout. Also, it is important to note that each LM targeted by MRM has a unique CE, target retention time (RT), and specific Q1 and Q3 mass, all of which are reported in Table 1.

Table 1.

Donor Demographics

Donor Identifier Age Sex
T5983 2 F
T5975 18 M
T5972 20 F
T4665 23 M
T5711 25 M
T4389 28 F
T4646 29 M
T5129 30 M
T2407 36 F
T5640 46 M
T5846 47 F
T5701 50 F

2.2 Data Analysis & Recovery

A quantitation and recovery were determined using the deuterium labeled internal standards (d8-5-HETE, d5-RvD2, d5-LXA4, d4-LTB4, d4-PGE2; 500 pg/μL), and a LM-SPM profile was constructed for each donor. Data analysis was performed on the Sciex software platform, Analyst version 1.6. Principal component analysis (PCA) was carried out as in ref. [4] using SIMCA software, version 13.0.3 (Umetrics, Umea, Sweden).

3. Results and Discussion

3.1 SPM identification & profiles in human emotional tears

Three main polyunsaturated fatty acids (PUFA) metabolomes, i.e. Arachidonic Acid (AA), Eicosapentaenoic Acid (EPA), and Docosahexaenoic Acid (DHA), and the biosynthetic pathways that give rise to the LM-SPM profiles in inflammation-resolution are illustrated in Figure 1. This illustration outlines the temporal relationships for LM profiles in the acute inflammatory response in leukocyte-rich exudates, along with key roles these mediators play in the initiation and resolution of inflammation. The pathways (Figure 1 left to right) for the pro-inflammatory Prostaglandins and Leukotrienes, and the pathways for the pro-resolving Lipoxins, Resolvins, Protectins, and Maresins are each depicted. Utilizing a targeted lipid mediator metabololipidomics approach with LC-MS-MS based identification system [4], human tears provoked through an emotional response (100 μL aliquots per donor sample) were each extracted and profiled for their LM-SPM. The demographics from the 12 healthy donors are listed in Table 1.

Figure 1.

Figure 1

Overview of eicosanoids and specialized pro-resolving mediators pathways. Each are derived from three PUFA namely AA, EPA, and DHA. Known biologic functions from the pro-inflammatory mediators involved in the initiation of inflammation and those pro-resolution families of mediators involved in the resolution of inflammation are included. Mediators detected in tear samples are highlighted in bold text.

Table 2 reports the optimized acquisition parameters utilized to monitor the mass spectrometry of each of the LM, SPM, and their respective pathway markers. Included in this table are Analyte ID and Scan Time, which represent the timeframe in which each analyte (LM-SPM) passed through the liquid chromatography column and detected. Also included in this Table of parameters are Q1 parent mass and Q3 diagnostic daughter fragmentation mass, Declustering Potential (DP), Collision Energy (CE), and Collision Exit Potential (CXP). It is important to note that these parameters are all required for the rigorous identification of specific SPMs and LMs within the samples profiled.

Table 2.

Acquisition Parameters*

Analyte Q1 Q3 Scan Time DP (volts) CE (volts) CXP (volts)
RvD1 375.2 121.1 11.5 −80 −40 −13
RvD2 375.2 141.1 10.9 −80 −21 −13
RvD3 375.2 147.1 10.8 −80 −25 −13
RvD4 375.2 101.1 12.5 −80 −22 −10
RvD5 359.2 199.1 13.5 −80 −21 −13
RvD6/4,14 359.2 101.1 14.3 −80 −22 −16
RvE1 349.2 195.1 8.6 −80 −22 −12
RvE2 333.3 253.1 12.1 −80 −20 −12
RvE3 333.3 201.2 13.5 −80 −20 −12
MaR1 359.2 221.1 13.7 −80 −20 −16
MaR2 359.1 221.2 14.4 −80 −20 −12
22-OH-MaR1 375.3 221.1 10 −80 −24 −15
22-COOH-MaR1 389.3 221.1 9.4 −80 −24 −15
PD1 359.2 153.1 13.4 −80 −21 −9
22-OH-PD1 375.3 153.1 10 −80 −24 −15
22-COOH-PD1 389.3 153.1 9.4 −80 −24 −15
LXA4 351.2 115.1 11.5 −80 −20 −13
LXB4 351.2 221.1 10.9 −80 −20 −13
5,15-diHETE 335.3 115.1 13.4 −80 −22 −13
PGE2 351.3 189.1 10.7 −80 −25 −14
PGD2 351.3 233.1 10.8 −80 −16 −15
PGF2α 353.3 193.1 10.9 −80 −34 −11
TXB2 369.3 169.1 10.2 −80 −22 −15
*

Q1 and Q3 are parent mass and diagnostic daughter ion respectively; Scan time is the relative time window in which each analyte passes through the chromatography column and is detected; DP=Declustering Potential; CE=Collision Energy; CXP=Collision Exit Potential

A key component of this profiling analysis, which serves as a criterion for rigorous identification, is matching for chromatographic retention time behaviors of authentic as well as synthetic standards [4, 26]. For human tears this is depicted in Figure 2, where we present representative chromatograms obtained for the bioactive LM-SPMs identified in the tear samples. Each chromatogram plot from the accompanying SPM data was obtained from a male donor T4646, where all products could be quantified and matched to the published criteria. The next component that we employed for identification of LM-SPM in the human tear samples is identification of individual MS-MS spectrum. This is based upon matching of at least 6 diagnostic ions, and targeted MRM (Multiple Reaction Monitoring) of ion pairs Q1 (parent mass) and Q3 (diagnostic daughter ion).

Figure 2.

Figure 2

Representative MS-MS identification of human emotional tears LM. Bioactive LM, isomers, and pathway markers, with representatives from the DHA and AA metabolomes, as well as Docosahexaenoic and Eicosapentaenoic Monohydroxy pathway markers and Arachidonic Monohydroxy Acid pathway markers. Results are representative of a single individual (from n=12) where all mediators were identified, quantified, and matched to MS-MS spectra.

We were able to confirm identified LM-SPM in human emotional tears via obtaining the MS-MS spectra shown in Figure 36. For example, in Figure 3, the spectra for several of the main pro-resolving mediators from the DHA bioactive metabolome is displayed, with diagnostic ions and fragmentation patterns for each which are reported as follows: RvD1 (375=M-H; 357=M-H-H2O; 339=M-H-2H2O; 331=M-H-CO2; 313=M-H-CO2; 295=M-H-2H2O-CO2; 261=305-CO2; 259=277-H2O; 243=305-H2O-CO2; 241=277-2H2O; 215=233-H2O; 197=233-2H2O; 185=203-H2O; 123=141-H2O) RvD2 (375=M-H; 357=M-H-H2O; 339=M-H-2H2O; 331=M-H-CO2; 313=M-H-H2O-CO2; 295=M-H-2 H2O-CO2; 287=305-H2O; 215=233-H2O; 203=247-CO2) RvD5 (359=M-H; 341=M-H-H2O; 323=M-H-2 H2O; 315=M-H-CO2; 297=M-H-H2O-CO2; 279=M-H-2H2O-CO2; 245=289-CO2; 243=261-H2O; 227=289-H2O-CO2; 199=217-H2O) and PD1 (359=M-H; 341=M-H-H2O; 341=M-H-H2O; 323=M-H-2H2O; 315=M-H-CO2; 297=M-H-H2O-CO2; 279=M-H-2H2O-CO2; 243=261-H2O; 217=261-H2O; 199=261-H2O-CO2; 188=206-H2O; 159=177-H2O; 137=181-CO2). These ions were each matched to those of authentic and synthetic standards for these SPM [4, 26].

Figure 3.

Figure 3

Resolvin and Protectin SPM MS-MS spectra identified in human emotional tears. Identification is based on presence of at least 6 diagnostic ion fragmentation patterns, denoted in the insets and identification criteria (see text for details). MS-MS data are representative of the major lipid mediators shown at the picogram level in Table 2.

Figure 6.

Figure 6

MS-MS spectra for DHA & EPA pathway markers.

Results in Figure 4 reports spectra for SPM derived from the AA bioactive pathway, and the diagnostic ions and fragmentation patterns are as follows: LXA4 (351=M-H; 333=M-H-H2O; 315=M-H-2H2O; 307=M-H-CO2; 289=M-H-H2O-CO2; 271=M-H-2H2O-CO2; 261=279-H2O; 207=251-CO2; 227=289-H2O-CO2; 199=235-2H2O; 127=145-H2O) AT-LXA4 (351=M-H; 333=M-H-H2O; 315=M-H-2H2O; 307=M-H-CO2; 289=M-H-H2O-CO2; 271=M-H-2H2O-CO2; 261=279-H2O; 207=251-CO2; 217=235-H2O; 215=251-2H2O; 199=235-2H2O; 189=251-H2O-CO2; 171=251-2H2O-CO2) and 5S,15S-diHETE (335=M-H; 317=M-H-H2O; 299=M-H-2H2O; 291=M-H-CO2; 273=M-H-H2O-CO2; 255=M-H-2H2O-CO2; 227=263-2H2O; 217=235-CO2; 201=219-H2O; 191=235-CO2; 173=235-H2O-CO2) a marker of lipoxin biosynthesis [28].

Figure 4.

Figure 4

MS-MS spectra for Lipoxins from the AA-bioactive metabolome.

Figure 5 displays spectra and diagnostic fragmentation for pro-inflammatory mediators from the AA metabolome. These included, PGD2 (351=M-H; 333=M-H-H2O; 315=M-H-2H2O; 289=M-H-H2O-CO2; 271=M-H-2H2O-CO2; 233=251-H2O; 217=279-H2O-CO2; 189=251-H2O-CO2) PGE2 (351=M-H; 333=M-H-H2O; 315=M-H-2H2O; 289=M-H-H2O-CO2; 271=M-H-2H2O-CO2; 243=279-2H2O; 235=279-CO2; 233=251-H2O; 217=279-H2O-CO2; 207=251-CO2; 189=251- H2O-CO2) PGF2α (353=M-H; 335=M-H-H2O; 317=M-H-2H2O; 299=M-H-3H2O; 291=309-H2O; 273=309-2H2O; 263=281-H2O; 209=253-CO2; 193=253-CO2; 173=253-2H2O-CO2) and LTB4 (335=M-H; 317=M-H-H2O; 299=M-H-2H2O; 273=M-H-H2O-CO2; 255=M-H-2H2O-CO2; 205=233-CO2; 177=195-H2O; 161=233-H2O-CO2; 133=195-H2O-CO2). These results document the presence of both prostaglandins and leukotriene B4 in human emotional tears.

Figure 5.

Figure 5

MS-MS spectra for Prostaglandins and a Leukotriene from the AA-bioactive metabolome.

SPM biosynthesis pathway markers were also identified, from both the DHA and EPA pathways (Figure 6) . The fragmentation patterns for each were reported as such: 17-HDHA (343=M-H; 325=M-H-H2O; 299=M-H-CO2; 281=M-H-H2O-CO2; 229=273-CO2; 211=273-H2O-CO2; 201=245-CO2) 14-HDHA (343=M-H; 325=M-H-H2O; 299=M-H-CO2; 281=M-H-H2O-CO2; 215=233-H2O; 189=233-CO2; 161=205-CO2) 18-HEPE (317=M-H; 299=M-H-H2O; 273=M-H-CO2; 255=M-H-H2O - CO2; 215=259-CO2). As recently reported in Ref. [29], 17-HDHA was found to have an anti-hyperalgesic impact in a rat arthritis model; this demonstration of bioactivity could suggest that this LM may have similar anti-inflammatory and pain reducing actions in the eye via its presence in human tears. Similarly, in Ref. [30], it was demonstrated that 18-HEPE inhibited pro-inflammatory fibroblast activation, and when administered in vivo exhibited a therapeutic effect on cardiac fibrosis and inflammation. These reported biologic actions suggest a potential physiologic impact for 18-HEPE present in tears for ocular physiology. Also, the identification of both endogenous 17-HDHA and 18-HEPE in human tears suggests that both D-series and E-series Resolvins may also be in high amounts locally than quantitated in the present analyses, because both series of resolvins are known to be further metabolized to oxo- and dehydro-resolvin products [1] that were not profiled in the present LC-MS-MS method. In this context, we did not obtain evidence for E-series resolvins, specifically RvE1, RvE2 or RvE3, in emotional tears, whereas resolvin E1 is clearly bioactive in the eye [16].

The lipid mediators and their associated pathway markers from the DHA, EPA, and AA bioactive metabolomes were each identified in these human samples at picogram amounts per 100 microliters, giving a concentration range from 27 pM to 2.7 nM. The values obtained for each mediator identified for the de-identified donors is reported in Table 3. From the AA bioactive metabolome we identified lipoxins A4 (LXA4) along with its 17R-epimer (also known as the aspirin triggered form denoted AT-LXA4), the distinct lipoxin pathway marker and double dioxygenation product 5S, 15S-diHETE. Also, present in these samples were the prostaglandins PGE2, PGD2, & PGF2α, and the leukotriene LTB4 along with its double dioxygenation isomer, 5S, 12S-diHETE. Note that lipoxygenase pathway markers from the AA metabolome were identified, these included 15-HETE, 12-HETE, and 5-HETE. From the EPA bioactive metabolome, the bioactive precursor 18-HEPE was identified as indicated above. From the DHA bioactive metabolome, we identified the resolvins RvD1, RvD2, and RvD5, the protectin PD1 and its double dioxygenation isomer 10S, 17S-diHDHA (PDx), as well as important DHA-pathway precursors 17-HDHA and a maresin pathway marker 14-HDHA (Table 3). Overall, the quantitative results is displayed a gender dependence in that the production of LM-SPMs favors the male donors or at least were in a range that were detected and identified by this profiling approach. For example, resolvin D1 (RvD1) was identified in 3 of the 6 males, while it could not be detected in the samples from female donors. Also, resolvin D5 (RvD5) was clearly identified in 4 of the 6 male donors while it was not detected in the samples from female donors.

Table 3.

Human Emotional Tear LM-SPM Quantitation

Male Female

Mediators 1 2 3 4 5 6 1 2 3 4 5 6
SPM Metabolome
RvD1 38 18.8 - 39.6 - - - - - - - -
RvD2 - 690 700 760 - - - - - 860 - -
RvD3 - - - - - - - - - - - -
RvD4 - - - - - - - - - - - -
RvD5 225 170.7 245.1 586 - - - - - - - -
PD1 - - - 210 20 - - - - - - -
10S,17S-diHDHA - - - - - - - - - - - -
LXA4 12.7 - - 32.9 - - 36.2 - 10.8 - 52.2 -
LXB4 - - - - - - - - - - -
5S,15S-diHETE 628.4 70.6 155.5 596.2 22.2 31.8 145.7 - 16.4 17.5 57.9 31.9
AT-LXA4 52.1 14.3 - 39.2 - - 39.6 - 25.8 - 57 -
Eicosanoid Metabolome LTB4 204.1 25.4 77.8 551.1 20.4 120.1 86.1 - - 56.3 180.7 -
20-OH-LTB4 13.4 10.9 54.5 29.8 - - - - - 21.9 - -
5S,12S-diHETE 54.6 35 19.4 120.7 - 23.4 - - - - - -
PGD2 35 20.9 12.8 52.2 - 11.8 27.2 - - 11.9 - 12.7
PGE2 60.6 34.2 209.1 121.7 24.8 135.1 - - - 36.3 70.5 46.1
PGF2α 61.3 30.3 198.7 133.7 - 51.5 - - - - - -
Pathway Markers & Precursors
17-HDHA 300.2 213.5 1094.1 926.8 38 69 54.3 19.8 13.8 29.2 130.5 170.8
14-HDHA 248.4 69.6 141 612 41.4 69.7 37.6 17.2 10.6 178.8 - 101.4
18-HEPE 70.3 24.2 - 311.7 - 148.5 - - - - - -
15-HETE 3300 2960 7100 12020 150 360 1050 160 110 160 1730 1380
12-HETE 8054.3 1494.9 1793.9 14297.2 454.5 468.8 1416.5 443.1 225.5 513.9 2595.5 507.7
5-HETE 990 140 200 1160 - 150 190 60 30 90 200 100

=limit of detection; limit ~0.1 pg; see methods and text for details *Results expressed in pg/100 μL

3.2 Signature LM-SPM gender profile of human emotional tears

In order to examine the potential gender differences in the mediator profiles obtained from human emotional tears, we employed Principal Component Analysis (PCA) on the LC-MS-MS results from the 12 donors. The lipid mediators are displayed 2-dimensionally, consisting of two components (represented on the axes shown). The gray ellipse seen in Figure 7A is representative of the 95% confidence interval, with anything outside of that region being considered an outlier. This is based off of Hotelling’s T-squared equation. Within this score plot (Figure 7A), we were able to diagnose a gender difference in the donors included for this study. The female donors, seen in green, group together tightly on the left side of the plot, while the male donors were more dispersed (in the blue to the right side of the plot , Figure 7A). In the loading plot, Figure 7B, an apparent gender difference was also revealed in the specific mediators identified in human tears between males and females. The blue cluster on the right highlights those SPM that are in association with males (RvD1, RvD2, RvD5, & PD1) while the two green circles on the left represent an association with females (LXA4 & AT-LXA4). In the bar graph (Figure 7C), the summation ratio of SPMs, 17-HDHA, and 18 HEPE vs. LTB4 was calculated, separated by gender. As is depicted, the ratio is much higher in males, demonstrating a potential lack of SPM in female tears as well as an increase in the pro-inflammatory mediators in females. A lower ratio in females was also found to be statistically significant, with a p-value of 0.04.

Figure 7.

Figure 7

PCA and quantitative ratio by gender for LM-SPMs identified in human emotional tears. (A) 2-dimensional score plot of human emotional tear donors; blue circles (n=6) are representative of males, while green circles (n=6) are representative of females. Gray ellipse denotes 95% confidence interval. (B) 2-dimensional loading plot of LM-SPMs identified in human emotional tears; blue circles are those mediators associated with male donors & green circles are associated with female donors. (C) Bar graph depicting the ratio of total SPMs including RvD1, RvD2, RvD5, PD1, LXA, AT-LXA, 17-HDHA, and 18-HEPE compared to LTB4, in males compared females (n=6 for each gender; #P <0.05 for male donors vs. female donors; *P<0.05, females vs. males).

3.3 SPM and Eicosanoid Ocular Functions

Table 4 highlights the LM and SPM identified in human tears that have known functions within the eye, and have been communicated in the literature. Shown in this table are the main bioactions and LM-SPM dose implemented, along with each reference in which the two are reported. Also, the last column in the table outlines the concentration we calculated for the LM-SPMs in male donor T4646, for all of the LM-SPMs were detected in this individual’s tear sample. All of the calculated concentrations falling in the bioactive picomolar to nanomolar range. These results further exemplify the potential physiologic relevance of these mediators in the eye, as well as highlighting the importance they could have in the resolution of inflammation in ocular diseases.

Table 4.

SPM and Eicosanoid Ocular Functions

LM Main Bioactions Dose References Concentration within Human Tears*
RvD1 Reduces vaso-obliteration and neovascularization 10 ng/day Connor et al. [13] 1.1 nM
Reduction of inflammatory cytokines and mediators; reduction of PMN transmigration 50 nM; 50–200nM Tian et al. [20]
Block LTD4 stimulated goblet cell secretions 10−9–10−8M Dartt et al. [11]
Regulation of histamine-stimulated goblet cell secretions 10−9M Li et al. [22]; Hodges et al. [34, 35]
Block angiogenesis in inflamed cornea 100 ng/10μL/mouse Hua et al. [14]
Reduction of inflammation in rat eye following uveitis 10-100-1000 ng/kg Settimio et al. [17]
RvE1 Reduces vaso-obliteration and neovascularization 10 ng/day Connor et al. [13] N/A
Reduction of inflammatory cytokines and mediators; reduction of PMN transmigration 50 nM; 50–200nM Tian et al. [20]
Block LTD4 stimulated goblet cell secretions 10−9–10−8M Dartt et al. [11]
Block angiogenesis in inflamed cornea 100 ng/10μL/mouse Jin et al. [15]
Inhibition of corneal inflammation induced by LPS and bacteria 2 μg/2 μL PBS Lee et al. [16]
PD1 Reduces vaso-obliteration and neovascularization 10 ng/day Connor et al. [13] 5.8 nM
Increased corneal re-epithelialization and attenuation of thermal injury 1 μg Gronert et al. [10]
Provides protection from oxidative-stress induced apoptotic damage in the retina 50 nM Mukherjee et al. [36]
Restores corneal nerve integrity and function after surgery 100 ng, dropwise (topical) Cortina et al. [37]
LXA4 Decrease in inflammation, increase in wound healing; overall corneal & stroma protection 1 μg/eye in 10 μL PBS (mice) Kakazu et al. [19] 935 pM
Effector T cell inhibition, regulatory T cell amplification, dry eye pathogenesis reduction 100 ng topically (3x/day), 1 μg systemically (daily) Gao et al. [12]; Hodges et al. [34, 35]
Reduction of VEGF-A and FLT4 expression and inflammatory angiogenesis 100 ng (3× daily) Leedom et al. [38]
Attenuation of chemokine formation 1–1000 ng (3× daily) Biteman et al. [18]
Increased wound healing/re-epithelialization in cornea 1 μg (3× daily) Biteman et al. [18]
AT-LXA4 Suppression of VEGF-A induced hemoangiogenesis; control innate immune cell infiltration 100 ng/mouse He et al. [39] 1.1 nM
Enhancement of endothelial cell wound closure and healing in cornea; 100 nM He et al. [39]
Protection of corneal integrity during wound healing 100 nM He et al. [40]; Hodges et al. [34]
LTB4 Stimulation of conjunctival goblet cell mucous secretion 10−10M Dartt et al. [11] 16.4 nM
PGE2 Increase in inflammatory cytokines (IL-1β & IL-6) and intraoperative miosis following cataract surgery 25.6 pg/mL– 64.2 pg/mL Wang et al. [41] 3.5 nM
Significantly higher presence in Dry Eye (DE) disease patient tears, compared to healthy control tears 2.72 ± 3.42 ng/mL (average; n=23) Shim et al. [42]
Correlation with low tear osmolarity, meibomian gland plugging, and corneal staining 13.7 ± 3.1 pg/tear sample Walter et al. [24]
PGF2α Reduction in proliferation and adipogenesis 10−8–10−6M Draman et al. [43] 3.8 nM
Reduction in intraocular pressure (IOP) 50 μg/mL topical Lusky et al. [44]
*

values from a representative donor

For each SPM identified herein, their key diagnostic ions were confirmed with deuterium-labeled fragments prepared by total organic synthesis of the SPM [26]. Thus, the profiling of SPM and these lipid mediators as in Figures 17 are definitive in both identity and relative relationships for each SPM-LM signature. Recently, sex differences for resolvins in skin blisters of human exudates have been demonstrated [31]. In the present report, male emotional tears appear to display both SPM and pro-inflammatory eicosanoid mediators, whereas emotional tears from women demonstrated mainly arachidonic acid-derived mediators including the proresolving mediators from this metabolome, namely lipoxins as well as 17-HDHA from DHA and prostaglandins (Table 3). Women are known to have a higher prevalence of dry eye syndrome that may reflect lower utilization of DHA for SPM production over the age of 45 [32, 33]. Whether this relationship is related to n-3 differences remains to be determined.

Taken together the results of the present study indicate that human tears possess lipid mediators in concentrations that are known to be bioactive in the eye and immune system. Both pro-inflammatory mediators and SPM were identified and profiled in the human tears obtained from male donors while female donors appear not to have detectable quantities of SPM. This finding, while at an early stage given the small number of donors in the present data set (n=12), suggests that human tears can serve as a useful source of tissue to profile both eicosanoids and SPM as well as determine their quantitative relationships. The tear SPM rigorously identified herein were present in male donor tears at concentrations commensurate with their reported stereoselective bioactions in ocular systems as well as other organs in vivo in animal disease models. Hence, it maybe possible to identify and profile SPM in human tears by this LC-MS-MS based approach and methodology to obtain information on systemic events as well as nutritional status in humans.

Highlights.

  • Human emotional tears contain both eicosanoids and specialized proresolving mediators (SPM; i.e. lipoxins, resolvins and protectins).

  • Lipid mediators in human tears were identified using a new detailed LC-MS-MS profiling approach with ≥6 diagnostic ions from MS-MS for rigorous identification of each lipid mediator (LM).

  • LM-SPM signature profiles for human emotional tears were distinct for each donor.

  • This approach and LC-MS-MS profiling of human tear SPM can provide a non-invasive means to assess nutritional status and resolution of inflammation pathways.

Acknowledgments

The authors thank Mary Halm Small for expert assistance in manuscript preparation. This work was supported by the National Institutes of Health [P01GM095467, R01EY19470].

Abbreviations

AA

arachidonic acid

COX

cyclooxygenase

d

deuterated

DHA

docosahexaenoic acid

EPA

eicosapentaenoic acid

HDHA

hydroxy-docosahexaenoic acid

HEPE

hydroxy-eicosapentaenoic acid

HETE

hydroxy-eicosatetraenoic acid

HpETE

hydroperoxy-eicosatetraenoic acid

LC-MS-MS

liquid chromatography tandem mass spectrometry

LM

lipid mediators

LOX

lipoxygenase

LT

leukotriene

LTB4

leukotriene B4 (5S, 12R-dihydroxy-eicosa-6Z, 8E, 10E, 14Z-tetraenoic acid)

LX

lipoxin

LXA4

lipoxin A4 (5S, 6R, 15S-trihydroxy-eicosa-7E, 9E, 11Z, 13E-tetraenoic acid)

LXA5

lipoxin A5 (5S, 6R, 15S-trihydroxy-eicosa-7E, 9E, 11Z, 13E, 17Z-pentaenoic acid)

LXB4

lipoxin B4, (5S, 14R, 15S-trihydroxy-eicosa-6E, 8Z, 10E, 12E-tetraenoic acid)

MaR1

maresin 1 (7R, 14S-dihydroxy-docosa-4Z, 8E, 10E, 12Z, 16Z, 19Z-hexaenoic acid)

MRM

multiple reaction monitoring

PCA

principal component analysis

PD

protectin

PD1

protectin D1 (10R, 17S-dihydroxy-docosa-4Z, 7Z, 11E, 13E, 15Z, 19Z-hexaenoic acid), also known as neuroprotectin D1 (NPD1)

PG

prostaglandin

PGD2

11-oxo-9α, 15S-dihydroxy-prosta-5Z, 13E-dien-1-oic acid

PGE2

9-oxo-11α, 15S-dihydroxy-prosta-5Z, 13E-dien-1-oic acid

PGF

9α, 11α, 15S-trihydroxy-prosta-5Z, 13E-dienoic acid

Rv

resolvin

RvD1

Resolvin D1 (7S, 8R, 17S-trihydroxy-docosa-4Z, 9E, 11E, 13Z, 15E, 19Zhexaenoic acid)

RvD2

Resolvin D2 (7S, 16R, 17S-trihydroxy-docosa-4Z, 8E, 10Z, 12E, 14E, 19Zhexaenoic acid)

RvD3

Resolvin D3 (4S, 11R, 17S- trihydroxy-docosa-5Z, 7E, 9E, 13Z, 15E, 19Z hexaenoic acid)

RvD5

Resolvin D5 (7S, 17S-dihydroxy-docosa-4Z, 8E, 10Z, 13Z, 15E, 19Z-hexaenoic acid)

RvE1

Resolvin E1 (5S, 12R, 18R-trihydroxy-eicosa-6Z, 8E, 10E, 14Z, 16E-pentaenoic acid)

RvE2

Resolvin E2 (5S, 18R-dihydroxy-eicosa-6E, 8Z, 11Z, 14Z, 16E-pentaenoic acid)

RvE3

Resolvin E3 (17R,18R-dihydroxy-eicosa-5Z, 8Z, 11Z, 13E, 15E-pentaenoic acid)

SPM

specialized pro-resolving mediator

5S

15S-diHETE, 5S,15S-dihydroxy-eicosa-6E, 8Z, 11Z, 13E-tetraenoic acid

Footnotes

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