SUMMARY
Exercise provides many health benefits, including improved metabolism, cardiovascular health, and cognition. We have shown previously that FNDC5, a type I transmembrane protein, and its circulating form irisin, convey some of these benefits in mice. However, recent reports questioned the existence of circulating human irisin both because human FNDC5 has a non-canonical ATA translation start and claims that many human irisin antibodies used in commercial ELISA kits lack required specificity. In this paper we have identified and quantitated human irisin in blood using mass spectrometry with control peptides enriched with stable isotopes as internal standards. This precise state-of-the-art method shows that human irisin is mainly translated from its non-canonical start codon and circulates at ~3.6 ng/ml in sedentary individuals; this level is increased to ~4.3 ng/ml in individuals undergoing aerobic interval training. These data unequivocally demonstrate that human irisin exists, circulates and is regulated by exercise.
Keywords: FNDC5, irisin, mass spectrometry, exercise
INTRODUCTION
The health benefits of physical activity and exercise are well recognized (Hawley et al., 2014; Mann and Rosenzweig, 2012; Voss et al., 2013). Exercise is the first line of therapy for various metabolic diseases like diabetes and obesity, but exercise also improves outcomes in diseases involving other tissues, such as the heart and brain. We recently described a novel polypeptide that is secreted from skeletal muscle and is increased with exercise. Irisin is the shed extracellular domain of a transmembrane protein called FNDC5. FNDC5, when expressed from adenoviral vectors in mice, causes an elevation of irisin in the blood and improved metabolic health in recipient animals (Bostrom et al., 2012). It also stimulates the expression of a potential neuroprotective gene program in the brain, particularly in the hippocampus (Wrann et al., 2013). Several papers have studied the effects of exercise on circulating irisin in humans; positive associations between irisin plasma level and exercise have been observed in some but not all cohorts and modes of exercise (Daskalopoulou et al., 2014; Hofmann et al., 2014; Huh et al., 2014; Kraemer et al., 2014; Lee et al., 2014; Norheim et al., 2014). Data suggest that early sampling after exercise and high intensity training protocols are particularly effective at raising circulating irisin levels. Most of these studies have relied on commercial antibodies and ELISA assays.
Human FNDC5 has an atypical translation start codon ATA, in place of the more typical ATG. While it is now known that many eukaryotic mRNAs begin translation with non-ATG start codons (Ingolia et al., 2011; Ivanov et al., 2011; Peabody, 1989), two recent papers have claimed that this ATA codon in human FNDC5 represents a null mutation and therefore human irisin would not be produced (Albrecht et al., 2015; Raschke et al., 2013). These authors argue that if FNDC5 exists in humans, it is translated from a downstream ATG and hence, the irisin polypeptide is a “myth” and does not exist. In addition, these authors claim that the many papers measuring human irisin are all artifacts of poor antibody specificity (Albrecht et al., 2015; Erickson, 2013); this is despite the fact that Lee et al. had previously detected an irisin peptide in human plasma with mass spectrometry (Lee et al., 2014) In this paper we have investigated the presence of human irisin in blood using quantitative mass spectrometry. As internal standards, we synthesized irisin peptides and included a valine enriched in stable isotopes (six 13C atoms). The peptides were used to develop a quantitative platform for the measurement of human irisin; these data should facilitate future studies of this molecule in both mice and humans.
Results
Two peptides were chosen as standards for this mass spectrometric analysis. These were both chosen because they are unique to the irisin sequence (FNDC5 ectodomain) and not encoded in any other proteins in the annotated human genome. As shown in Figure 1A, one peptide represents the most extreme N-terminal 12 amino acids (DSPSAPVNVTVR12) of the processed irisin molecule, coming immediately after the signal peptide (Fig. 1A). Importantly, this peptide is downstream of the non-canonical ATA codon but upstream of the first ATG codon in the FNDC5 mRNA. Therefore detection of this peptide would demonstrate use of the non-canonical start codon. A second tryptic peptide (48FIQEVNTTTR57) was chosen from the central portion of irisin, three amino acids downstream of the ATG. Plasma samples from human volunteers who had undergone aerobic interval training (see Methods) were used to develop this assay. These plasma samples were first treated with a commercial affinity resin to remove the very abundant albumin and immunoglobulins, so that these proteins would not hinder analysis of less abundant proteins (see Methods). Samples were then deglycosylated with the Protein Deglycosylation Mix from NEB, which contains PNGase F, O-Glycosidase, Neuraminidase, β1-4 Galactosidase, and β-N-acetylglucosaminidase, and results in complete deglycosylation. After electrophoresis, the anti-irisin antibody detected a band running at approximately 12 kDa, the predicted size of the irisin polypeptide (Fig. 1B). To characterize the synthetic heavy irisin peptides were subjected to LC-MS/MS analysis in both data dependent and parallel reaction monitoring (PRM) acquisition modes. As shown in Figure 1C, the intensity of the y ions series from the MS2 spectra for both peptides correspond to the rank order elution profile in the PRM acquisition mode, (Fig. 1D) validating that these ions can be used for identification and quantification of irisin.
Next, for the quantification of irisin in human plasma by mass spectrometry, albumin and immunoglobulin depleted plasma from four sedentary and six aerobically interval trained subjects was deglycosylated and resolved by SDS-PAGE prior to in-gel trypsin digestion. After this, 12.5 femtomoles of each heavy peptide were spiked into the sample prior to absolute quantification (AQUA) of irisin (Fig. 2A) (Gerber et al., 2003). Of note, often with enzymatic deglycosylation of proteins there is a propensity for deamidation occurring on asparagine residues, increasing the mass of the residue by 0.984 Da and slightly delaying the reverse phase retention (Zielinska et al., 2010). Therefore, successful identification of human irisin peptides (as for other N-glycosylated plasma proteins) must take into account this mass shift. Deamidation modifications for both endogenous plasma irisin peptides are observed without dramatically changing the MS2 spectra (Fig. S1A) nor altering the PRM rank order elution profile (Fig 2B). Fragment ions for both peptides were quantified using Skyline version 3.1 (MacLean et al., 2010) and comparable levels of quantification for both peptides, downstream of the ATA start codon and the later ATG suggest irisin is mainly translated from its non-canonical start codon (Table 1, Fig. S1B, Fig. S2). We found that irisin levels are present at ~3.6 ng/ml in sedentary individuals and are significantly increased to ~ 4.3 ng/ml in individuals undergoing aerobic interval training (Fig. 2C, Table1).
Table 1.
Sedentary | N-terminal peptide (femtomoles) | Internal (femtomoles) | combined average (femtomoles) | ng/mL |
---|---|---|---|---|
Subject 1 | 16.66 | 12.78 | 14.72 | 3.68 |
Subject 2 | 11.98 | 12.3 | 12.14 | 3.03 |
Subject 3 | 13.73 | 15.59 | 14.66 | 3.66 |
Subject 4 | 16.21 | 16.7 | 16.455 | 4.11 |
Average | 14.65 | 14.34 | 14.49 | 3.62 |
Aerobic | N-terminal peptide (femtomoles) | Internal (femtomoles) | combined average (femtomoles) | ng/mL |
---|---|---|---|---|
Subject 1 | 13.98 | 14.78 | 14.38 | 3.66 |
Subject 2 | 18.22 | 19.74 | 18.98 | 4.74 |
Subject 3 | 16.11 | 22.22 | 19.165 | 4.79 |
Subject 4 | 16.28 | 17.38 | 16.83 | 4.28 |
Subject 5 | 16.68 | 19.2 | 17.94 | 4.48 |
Subject 6 | 15.1 | 17.11 | 16.105 | 4.02 |
Average | 16.06 | 18.41 | 17.23 | 4.33 |
Discussion
We have developed here a quantitative, precise, and unbiased assay for the detection of human irisin in plasma. This assay definitively shows that human irisin circulates and has a very similar or identical architecture to the mouse protein (Bostrom et al., 2012). Human irisin circulates at a level at or above the levels observed for many other important biological hormones, as shown in Figure 2C. It confirms earlier reports that have identified a unique peptide in human plasma by untargeted mass spectrometry, (Albrecht et al., 2015; Lee et al., 2014); but for the first time, it provides quantitation of the circulating levels of human irisin in an unbiased and antibody-independent manner. Irisin concentrations are present at ~3.6 ng/ml in sedentary individuals and are significantly increased to ~ 4.4 ng/ml in individuals undergoing aerobic interval training, We therefore also confirm our earlier report of irisin being regulated by endurance exercise in humans (Bostrom et al., 2012).
Several papers have called the start codon of the human FNDC5 gene, which is an ATA, rather than the more common ATG, a mutation. Indeed, these authors concluded that human FNDC5 is a non-coding “pseudogene” or that “the human species has an effective gene knockout of FNDC5” (Albrecht et al., 2015; Raschke et al., 2013). This claim was based on a transfection assay expressing human FNDC5 from a CMV-promoter driven plasmid, which yielded protein levels lower than human FNDC5 expressed with an ATG instead of an ATA from the same plasmid. However, several lines of reasoning stand against that claim. First, the high degree of conservation of the irisin amino acid sequence across most mammalian species (including humans) strongly argues against FNDC5 in humans being a pseudogene. Second, the simple fact that Raschke et al. detect human FNDC5 protein made from the ATA-FNDC5 sequence proves that human FNDC5 is not a pseudogene; these are generally defined as genes that have lost their protein-coding ability (Vanin, 1985). Third, their conclusion that low protein production from CMV-promoter driven plasmid expressed in HEK293 cells translates to inefficient FNDC5 translation in vivo is completely speculative since this experiment did not consider endogenous regulation of human FNDC5 in its native state. Indeed, non-canonical starts of translation are often indicative of complex regulation of translation (Chang and Wang, 2004; Starck et al., 2012). Fourth, as mentioned above, our detection here of equal amounts of peptide 1 and 2 in human plasma demonstrates that human irisin is, in fact, mainly translated from its non-canonical start codon and not the further downstream ATG.
The earlier report (Albrecht et al., 2015) had several serious methodological deficiencies. First, their failure to detect irisin in human serum at 12 kDa by Western blotting relied on deglycosylation by only one enzyme, namely PNGase F; however, this leads to only incomplete deglycosylation. PNGase F is an effective enzymatic method for removing almost all N-linked oligosaccharides but not other oligosaccharides. Hence, with PNGase F, no visible band will appear at 12kDa and the irisin signal will be diluted across the lane leading to apparent lower levels. In our previously published method, (Wrann et al., 2013) we used the Protein Deglycosylation Mix from NEB, which contains, in addition to PNGase F, O-Glycosidase, Neuraminidase, β1-4 Galactosidase, and β-N-acetylglucosaminidase; this leads to complete deglycosylation and the appearance of a 12 kDa bands in recombinant mammalian irisin and humans plasma by immunoblot (Figure 1).
Second, these authors (Albrecht et al., 2015) used a method of protein mass spectrometry called “shotgun proteomics”, which randomly samples peptides for detection from all the peptides contained in the sample. While the method has the potential to detect irisin, it would be suboptimal for detection because the peptides of interest can be missed in complex samples due to their low abundance. In these cases targeted proteomics is required. This allows the mass spectrometer to focus on the targeted peptides and ignore signal from co-eluting peptides. AQUA-based quantification concomitantly with PRM produces spectra that are highly specific because all potential product ions of a peptide and elution profile confirm the identity of the peptide.
Third, and perhaps most importantly, the authors report their own detection limits for irisin at about 100 ng/ml. However, since many reports of human irisin fall below this level (Kraemer et al., 2014; Kurdiova et al., 2014; Moraes et al., 2013; Wang et al., 2015; Zhang et al., 2014). Hence it is rather surprising that these authors concluded that human irisin did not exist or was a “myth”.
It is worth noting that limitations of own study include that the AQUA heavy peptides were added to the irisin preparations after the extraction of the proteins from the SDS-PAGE gel; we therefore cannot account for how much irisin protein was lost during the sample preparation (albumin/IgG removal, deglycosylation and retrieval from the gel band, etc.); the numbers reported here must therefore be considered a slight underestimation of the irisin levels. In our experience, typical losses during sample preparation range between 10–30%. In addition, this assay is relatively costly and relies on available mass spectrometry instrumentation and capabilities. However, while this assay is relatively low throughput, it should prove useful for benchmarking more high through-put assays as they are developed. Taken together, targeted mass spectrometry with the use of heavy irisin AQUA peptides settles the existence, the overall architecture of human irisin in the plasma, and its regulation by exercise.
EXPERIMENTAL PROCEDURES
Aerobic Interval Training
Plasma samples were collected from young healthy participants (n=6 males, 25±5 years, BMI= 24.3±2.5 kg/m2) following 12-weeks of high-intensity aerobic training. Training consisted of 3-days per week of intervals on a cycle ergometer (4 × 4 min >90% peak aerobic capacity + 3 min rest) separated by 2-days per week of walking on a treadmill (45 min at 70% peak aerobic capacity). All training was supervised at the Dan Abraham Healthy Living Center at Mayo Clinic, Rochester Minnesota. A separate sedentary group served as no-treatment control (n=4 males, 26±3 years, BMI=26.1±3.4 kg/m2). Written informed consent approved by the Mayo Clinic Institutional Review Board was given by all participants before entering the study.
Plasma collection and purification
Participants consumed a weight maintaining diet for 3-days then were admitted to the Clinical Research Unit at Mayo Clinic Hospital. The aerobic training group did not exercise during the 3-day meal period. Participants consumed a standardized evening meal then remained fasted overnight. Arterialized blood was collected at 0700h into sodium heparin tubes from a retrograde catheter in a dorsal hand vein (heated to 49° C). Plasma was separated by centrifugation and stored at −80°C unt il analysis. Human plasma specimens (100 μL) were depleted of albumin and IgG using the ProteoExtract-kit (Millipore) and subsequently concentrated using 3 kDa molecular weight cut-off spin-filter columns (Millipore). Deglycosylation of plasma was performed using Protein Deglycosylation Mix (New England Biolabs) as per the manufacturer's denaturing protocol. Deglycosylated plasma samples were reduced with 10 mM DTT and alkylated with 50 mM iodoacetamide prior to being resolved by SDS-PAGE using 4-12% NuPAGE Bis-Tris precast gels (Life Technologies).
Western blotting
For Western blotting analyses, 50 μg of protein was resolved for each plasma sample by SDS-PAGE. Gels were transferred to 0.2 μm pore size Protran (BA83) nitrocellulose membranes (Whatman) in 25 mM Tris, 200 mM glycine. Membranes were blocked with 10% nonfat dry milk in PBS containing 0.1% Tween (PBST) for 1 hour at room temperature. Membranes were then probed with anti-FNDC5 (Irisin) rabbit polyclonal antibody (1:1000) (IN102, Adipogen) overnight at 4 °C, washed with PB ST and incubated with horseradish peroxidase-conjugated secondary antibodies (1:3000) (Sigma) followed by chemiluminescent (Perkin Elmer Life Sciences) detection. Recombinant mammalian irisin was obtained from Ember Therapeutics.
In-gel digestion
For in-gel digestions, deglycosylated plasma samples (300 μg) were reduced with 10 mM DTT and alkylated with 50 mM iodoacetamide prior to being resolved by SDS-PAGE using 4-12% NuPAGE Bis-Tris precast gels (Life Technologies). Gels were coomassie stained and fragments were excised from the 10–15 kDa region. Gel pieces were destained and dehydrated with 100% acetonitrile, vacuumed dried, and resuspended with 50 mM ammonium bicarbonate (Sigma-Aldrich) with 500 ng sequencing grade trypsin (Promega) was added for an overnight incubation at 37°C (Shevchenko et al., 1996). Digests were quenched after 12 hr with 5% formic acid and de-salted using homemade stage tips as previously described (Rappsilber et al., 2007). Peptides were eluted with 70% acetonitrile and 1% formic acid, then dried using a speedvac, and resuspended in 10μl of 5% formic acid and 4% acetonitrile containing the heavy valine synthesized irisin peptides (Supplemental Table 1).
Liquid chromatography and tandem mass spectrometry
Mass spectrometry data was collected using a Q Exactive or LTQ Orbitrap Elite mass spectrometer (Thermo Fisher Scientific) coupled with a Famos Autosampler (LC Packings) and an Accela 600 liquid chromatography (LC) pump (Thermo Fisher Scientific). Peptides were separated onto a 100 μm inner diameter microcapillary column packed with ~0.5 cm of Magic C4 resin (5 μm, 100 Å, Michrom Bioresources) followed by ~20 cm of Accucore C18 resin (1.6 μm, 150 Å, Thermo Fisher Scientific). For each analysis, we loaded ~2 μl onto the column. Peptides were separated using a 50-minute gradient of 8 to 30% acetonitrile in 0.125% formic acid with a flow rate of ~300 nL/min.
Parallel reaction monitoring acquisition
Parallel reaction monitoring (PRM) analyses were performed using a Q-Exactive mass spectrometer (Thermo Fisher Scientific). A full MS scan from 400–700 Th at an orbitrap resolution of 70,000 (at m/z 200), AGC target 5 × 106 and a 500 ms maximum injection time. Full MS scans were followed by 25–50 PRM scans at 35,000 resolution (AGC target 5 × 106, 500 ms maximum injection time) as triggered by a scheduled inclusion list (Supplemental Table 2). The PRM method employed an isolation of target ions by a 2 Th isolation window, fragmented with normalized collision energy (NCE) of 25, MS/MS scans were acquired with a starting mass range of 100 m/z and acquired as a profile spectrum data type. Precursor and fragment ions were quantified using Skyline version 3.1 (MacLean et al., 2010).
Data dependent acquisition
For data dependent acquisitions using the Q Exactive, the scan sequence began with an Orbitrap MS1 spectrum with the following parameters: resolution 70,000, scan range 400–1400 Th, automatic gain control (AGC) target of 5 × 106, maximum injection time of 250 ms, and centroid spectrum data type. We selected the top twenty precursors for MS2 analysis which consisted of HCD high- energy collision dissociation with the following parameters: resolution 17,500, AGC 1 × 105, maximum injection time 60 ms, isolation window 2 Th, normalized collision energy (NCE) 25, and acquired as a centroid spectrum data type. The underfill ratio was set at 9%, which corresponds to a 1.5 × 105 intensity threshold. In addition, unassigned and singly charged species were excluded from MS2 analysis and dynamic exclusion was set to automatic.
For data dependent acquisitions using an LTQ Orbitrap Elite, the MS1 survey scan was performed in the orbitrap in the range of 300–1500 Th at a resolution of 3×104, followed by the selection of the ten most intense ions (TOP10) for CID-MS2 fragmentation using a precursor isolation width window of 2 Th. The AGC settings were 3 × 106 and 2.5 × 105 ions for survey and MS2 scans, respectively. Ions were selected for MS2 when their intensity reached a threshold of 500 counts and an isotopic envelope was assigned. Maximum ion accumulation times were set to 1000 ms for survey MS scans and to 250 ms for MS2 scans. Singly charged ion species and ions for which a charge state could not be determined were not subjected to MS2. Ions within a 10 ppm m/z window around ions selected for MS2 were excluded from further selection for fragmentation for 120 s.
Peptide and protein identification
Following mass spectrometry data acquisition, Thermo Fisher RAW files were converted into mzXML format and processed using a suite of software tools developed in-house for analysis of proteomics datasets. All precursors selected for MS/MS fragmentation were confirmed using algorithms to detect and correct errors in monoisotopic peak assignment and refine precursor ion mass measurements. All MS/MS spectra were then exported as individual DTA files and searched using the Sequest algorithm (Eng et al., 1994). These spectra were searched against a database containing sequences of all human proteins reported by Uniprot (Magrane and Consortium, 2011) in both forward and reversed orientations. Common contaminating protein sequences (e.g. human keratins, porcine trypsin) were included as well. The following parameters were selected to identify peptides from un-enriched peptide samples: 25 ppm precursor mass tolerance; 0.02 Da product ion mass tolerance; no enzyme digestion; up to two tryptic missed cleavages; variable modifications: oxidation of methionine (+15.994915) and deamidation of asparagine (0.984016); fixed modifications: carbamidomethylation of cysteine (+57.021464). AScore algorithm to quantify the confidence with which each deamidation modification could be assigned to a particular residue in each peptide (Beausoleil et al., 2006). Peptides with AScores above 13 were considered to be localized to a particular residue (p < 0.05).
Statistical analysis
Data analysis was performed using GraphPad Prism 6 software. As appropriate, two-tailed Student's t test. Significance was assigned to differences with a P value less than 0.05. Pooled data are presented as mean ± SEM.
Supplementary Material
ACKNOWLEGMENTS
C.D.W. was supported by a K99/R00-NIH Pathway to Independence (PI) Award (NS087096) and J.A.P. was supported by an NIH/NIDDK grant K01 (DK098285). This work is funded by the JPB Foundation and NIH grants (DK31405 and DK90861) to B.S. The human exercise project was supported by NIH grants R01AG09531 (KSN), T32DK007352 (MMR) and the Mayo Clinic CTSA grant UL1TR000135 from the National Center for Advancing Translational Sciences. We thank Jeffrey Knott from Cell Signaling Technology (Danvers, Ma) for synthesizing the heavy irisin AQUA peptides. Heavy Irisin AQUA peptides will be freely distributed upon request.
Footnotes
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AUTHOR CONTRIBUTIONS M.P.J., C.D.W., S.P.G., and B.M.S. planned the majority of experiments and wrote the paper. M.P.J. developed the mass spec assay for the irisin identification with heavy peptides. C.D.W. developed the serum clean-up and de-glycosylation protocol and performed the statistical analysis. M.P.J. and S.P.G. performed the peptide fingerprinting identification of irisin. J.A.P., J.S., and K.K.G. contributed with technical assistance for the serum preparation, Western blotting, or mass spectrometry. M.M.R. and K.S.N. performed the human cohort study.
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