Article | Open

Protein expression changes caused by spaceflight as measured for 18 Russian cosmonauts

  • Scientific Reports 7, Article number: 8142 (2017)
  • doi:10.1038/s41598-017-08432-w
  • Download Citation
Received:
Accepted:
Published online:

Abstract

The effects of spaceflight on human physiology is an increasingly studied field, yet the molecular mechanisms driving physiological changes remain unknown. With that in mind, this study was performed to obtain a deeper understanding of changes to the human proteome during space travel, by quantitating a panel of 125 proteins in the blood plasma of 18 Russian cosmonauts who had conducted long-duration missions to the International Space Station. The panel of labeled prototypic tryptic peptides from these proteins covered a concentration range of more than 5 orders of magnitude in human plasma. Quantitation was achieved by a well-established and highly-regarded targeted mass spectrometry approach involving multiple reaction monitoring in conjunction with stable isotope-labeled standards. Linear discriminant function analysis of the quantitative results revealed three distinct groups of proteins: 1) proteins with post-flight protein concentrations remaining stable, 2) proteins whose concentrations recovered slowly, or 3) proteins whose concentrations recovered rapidly to their pre-flight levels. Using a systems biology approach, nearly all of the reacting proteins could be linked to pathways that regulate the activities of proteases, natural immunity, lipid metabolism, coagulation cascades, or extracellular matrix metabolism.

Introduction

The complex combination of factors that affect the human body during spaceflight are not among those which influenced human evolution on earth, so the human body is not necessarily adapted to them. The effect of space flight on humans has been studied by physiologists and medics for the past half-century1,2,3,4,5. Many changes have been observed on whole human organisms and on different physiological systems of cosmonauts after completion of space flight. In general, these systems constitute an aggregate of adaptive reactions involving all the functional systems and tissues of the organism. The principle effects of spaceflight factors include:

  1. 1.

    Energy imbalance - when the body’s energy expenditure is not reimbursed by the incoming food, which imposes serious consequences for many physical processes2,3,4

  2. 2.

    Negative balance of water and calcium5, 6, although sodium balance is possibly positive7, 8

  3. 3.

    Demineralization and modification of bone structure9

  4. 4.

    Ineffective thermal regulation10, 11

  5. 5.

    Shifts in biorhythms of heat production, hormonal secretion, and cardiac function12,13,14

  6. 6.

    Re-structuring of the vasomotion control15 and dysfunction of the vascular endothelium16

  7. 7.

    Muscular hypotrophy17,18,19, loss in tone and deterioration of force-velocity properties20, 21

  8. 8.

    Functional differentiation of the sensory systems and consequent disorders in motor control21, 22

  9. 9.

    Modification of pulmonary volumes, respiration biomechanics and chemoreceptor regulation23, 24

  10. 10.

    Immune system dysfunction25,26,27

  11. 11.

    Spaceflight anemia28.

The molecular mechanisms driving these changes remain unknown. Because proteins are key players in the adaptive processes in an organism, a panoramic picture of changes in protein expression may provide information about the mechanisms of adaptation.

In this mass spectrometry (MS)-based study, quantitative proteomic analysis was performed on 54 plasma samples collected from 18 cosmonauts before and after long-duration spaceflights on the Russian module of the International Space Station (ISS). The duration of these flights was 158 ± 15 days, with the exception of one cosmonaut who flew for 429 days. The 142 extracellular proteins targeted in this study were not selected specifically for this particular space-oriented study but were a subset of proteins that were previously quantified in human plasma using multiple reaction monitoring (MRM)-MS with stable isotope-labeled peptides, and are reported to be putative biomarkers of non-communicable disease. Statistical interpretation of the subsequent results revealed three classes of proteins that could be grouped and linked to pathways involving metabolism and biochemical function. To the best of our knowledge, this study is the first relatively large-scale, MS-based proteomics investigation of the effects of space flight on plasma protein levels in cosmonauts’ blood, and it has yielded insights into the adaptive changes of this set of extracellular proteins.

Methods

Sample Collection

Whole blood samples were collected from 18 Russian cosmonauts (mean ± SD age: 44 ± 6 years old, all male) at 3 defined time points: 1) 30 days prior to launch (abbreviated L-30), 2) on the first day of recovery (R + 0), and 3) 7 days later (R + 7). The round-trip mission to the International Space Station (ISS) (430 km from launch point) took 6 hrs from launch to docking with the ISS and 3 hrs to return back from the ISS to earth. The first blood draw was performed 25.2 ± 0.1 hrs after landing. Blood was taken from a vein in the cubital fossa, collection was done in commercial SARSTEDT-Monovette® tubes containing EDTA as the anticoagulant. After centrifugation for plasma separation (2000 rpm for 15 min, +4° C), the supernatant was frozen at −86 °C. No protease inhibitors or antimicrobial agents were added. All methods were performed in accordance with the relevant guidelines and regulations. All cosmonauts voluntarily completed an Informed Consent Form prior prior to sample donation. The described ISS-based experiments were approved by the Human Research Multilateral Review Board.

Target Protein and Peptide Panel

The target panel for LC/MRM-MS interrogation comprised proteins for which assays had been developed previously29. The target proteins are classified as high-to-moderate abundance, spanning an approximate concentration range from 33 mg/mL to 44 ng/mL29, 30.

In the MRM-with-SIS-peptide quantitative approach, proteotypic peptides (usually tryptic) serve as molecular representatives of the target proteins. In this study, a single tryptic peptide was selected from each of the 142 parent proteins based on peptide selection rules31,32,33, as well as proven peptide detectability in other pooled plasma samples34, 35. To help with compensation for matrix-induced suppression or variability in LC-MS performance, C-terminal 13C/15N-labeled peptide analogues were used as internal standards. These were synthesized (via Fmoc chemistry, with heavy labeled lysine and arginine residues obtained from Cambridge Isotope Laboratories) and purified (through RP-HPLC with subsequent assessment by MALDI-TOF-MS) at the University of Victoria - Genome BC Proteomics Centre, with characterization (via amino acid analysis, AAA, and capillary zone electrophoresis, CZE) conducted at external sites. The CZE-derived purity of the 142 SIS peptides was 94.2%, on average.

LC/MRM-MS Equipment and Conditions

For details of the solution and sample preparation, the reader is referred to the Supplemental Information section. Fifteen-µL injections of the plasma tryptic digests were separated with a Zorbax Eclipse Plus RP-UHPLC column (2.1 × 150 mm, 1.8 µm particle diameter; on a 1290 Infinity UPLC system (all from Agilent Technologies). Peptide separations were achieved at a flow rate of 0.4 mL∕min over a 43 min run, using a multi-step LC gradient (3–90% mobile phase B; eluent compositions: A was 0.1% FA in 100% H2O while B was 0.1% FA in 90% ACN), as described previously29. The column and autosampler were maintained at 50 °C and 4 °C, respectively. A post-gradient equilibration time of 4 min was used after the analysis of each sample. All samples were processed individually.

The LC system was interfaced to a triple quadrupole mass spectrometer (Agilent 6490) via Agilent’s Jet Stream™ source, operated in the positive-ion ESI mode. The MRM acquisition parameters employed were identical to those reported previously29. Note that the peptide parameters had previously been empirically optimized by direct infusion of the purified SIS peptides. In the quantitative analysis, the targets (852 total transitions for 142 peptides with 3 transitions/peptide form) were monitored during 800-ms cycles and 1-min detection windows.

Quantitative Analysis

The MRM data was visualized and examined with MassHunter Quantitative Analysis software (version B.07.00; Agilent). This involved peak inspection to ensure accurate selection, integration, and uniformity (in terms of peak shape and retention time) of the SIS and natural (NAT) peptide forms. Standard curves were generated from a pooled control sample with constant NAT and variable levels of SIS peptide concentrations. Qualification of standard curve generation was based on the following criteria:

(i) 1/x2 regression weighting with a ‘low-to-high’ concentration removal strategy (defined previously36),

(ii) <20% deviation in a level’s precision and accuracy,

(iii) inclusion of all 3 injection replicates from each level, and

(iv) 3 consecutive qualified levels.

Quantitation was done using linear regression analysis, as described previously29, 36.

Statistical Analysis

All of the selected proteins were reliably identified and quantitatively characterized in all plasma samples, with FDR level of <1%. Evaluation of the quality of both the identification and the quantitative analysis was based on the material contained in Appendix 1 (Extended Data File 1). Concentration changes of the identified blood proteins were analyzed by descriptive statistics methods. Analysis of the data revealed its pronounced heterogeneity, as different proteins have different dynamics of concentration changes caused by organism exposure to space flight. To evaluate the level of variability of investigated random variables the ratio of standard deviation to the average mean value was calculated. The following methods of analysis of variance were used to determine significance:  least significant difference (LSD) Test, Scheffe, Newman-Keuls, Tukey honest significant difference (HSD) test, Duncan, Unequal N HSD Tests37.

Results and Discussions

We have previously quantified other large panels of plasma proteins with simple sample preparation and LC/MRM-MS sample processing through a combination of linear regression and single point measurements29, 31, 34. Based on these previous studies, a collection of 142 extracellular proteins were selected for interrogation against 54 cosmonaut plasma samples. Preliminary experiments involved concentration-balancing the SIS peptide mixture to the pooled cosmonaut plasma, performing rigorous interference screening through ion ratio analysis, and automating the sample preparation process on a liquid handling robot. Ultimately, 125 plasma proteins were detected and quantitated.

To examine the proteomic changes during space flight, the determined concentrations at 3 time points (labeled L-30, i.e., 30 days prior to launch; R + 1, a day after landing and R + 7, 7 days after landing) were assessed independently on a protein-by-protein basis (see Supplemental Information, Table 1). Through this comparison, it was found that the behavior was heterogeneous, as post-flight changes in concentrations were protein-dependent. For example, the mean concentration of IGFALS (insulin-like growth factor binding protein complex, acid labile subunit; UniProtKB: P35858) was relatively stable post-flight, while the levels of cDNA (UniProtKB: B7Z2X4) recovered slowly. For this reason, the proteins were divided into groups (classes) that shared common characteristics.

Table 1: P-values for proteins which show significant differences at the p < 0.05 level with the LSD Test.

A decrease in the level of certain proteins in the blood, without these levels being restored to their pre-flight levels 7 days after the flight, can clearly be interpreted as the impact of space flight on the human body. Two protein with similar dynamics (apolipoprotein A-II, UniProtKB: P02652; and serotransferrin, UniProtKB: P02787) showed pronounced decreases in variability of their concentrations on the 7th day after landing (Table 1). The second group of proteins is characterized by reduction to below preflight levels, with recovery (or even increases) on the 7th day after the flight. This means that changes in their blood concentrations are transitory and may be attributable to the influence of the final stage of the flight, including factors such as emotional stress and overloads during the landing stage. Finally, the third type of dynamics, identified on the basis of descriptive statistical methods, is characterized by persistence of the initial protein concentration levels until the +1 day after completion of the flight, with an increase/or decrease by the +7th day after landing. We believe that these changes reflect the organism’s rehabilitation to the conditions of the Earth’s gravity, after the period of life in space. Thus, by using a statistical method to compare two sets in this relatively large dataset (125 proteins from 18 cosmonauts with concentrations measured in three time points), it was revealed that the concentrations of only 19 of the 125 proteins were influenced by space flight. In other words, the average concentrations of the majority of proteins did not show statistically significant changes after the flight.

Table 1 shows the 19 proteins with statistically significant differences using the LSD test. Significant differences between time points were confirmed for the same proteins using other methods of analysis–Scheffe, Newman-Keuls, Tukey HSD, Duncan, and Unequal N HSD tests (data not shown).

In order to determine the biological functions of the proteins whose concentrations are changed during the flight, and to identify possible adaptation mechanisms in which they are involved, manual annotation of proteins was carried out using Gene Ontology, PubMed, UniProtKB, REACTOME, KEGG, WikiPathways, and Pathway Interaction. A brief summary of this annotation is given in Appendix 2.

We believe that the proteins whose levels were found to be reduced immediately after the landing of cosmonauts and which had not recovered to pre-flight levels by the +7th day, are responsible for structural adaptation that occurred during flight. The proteins whose concentrations were found at their pre-flight levels after landing, but which underwent changes in the post-flight period, apparently are involved in the rehabilitation process to terrestrial conditions.

In summary, plasma proteins whose concentrations changed during flight included pathways related to oxidative stress, cytoskeleton, cell proliferation, glucose and lipid metabolism, cell damage and repair response, apoptosis, calcium/collagene metabolism, transport of lipoproteins, cellular functions, protein degradation, signal transduction and cell energy metabolism. Mainly non-tissue-specific pathways were affected, since these biological processes are carried out in most human tissues. Moreover, the expression of proteins related to cytoskeleton, extracellular matrix (ECM) metabolism, internal cell transport, cell motility, apoptosis and oxidative stress were altered during the time of exposure to microgravity (μG), suggesting their sensitivity to gravitational changes. Later, after landing, further protein expression changes are probably involved in the adaptation to conditions on earth, suggesting that physiological systems and organism are able to respond to gravitational field changes by increasing the expression of specific defense proteins, thereby reducing any long-term damaging effect of μG.

In this paper, a relatively large-scale study of blood protein concentration changes caused by the conditions of cosmonauts staying on the International Space Station in high-earth orbit has been carried out by quantitative proteomics using targeted, bottom-up UHPLC/MRM-MS analysis. We have found that the plasma concentrations of 85% of the proteins investigated were not significantly altered due to space flight.

Adaptation of all human body functions is carried out with the participation of proteins. Stein, et al. stated that the total rate of protein synthesis in the body decreases under the influence of space flight factors38. Their data set, obtained during examination of cosmonauts after the completion of the space flight (SF), still remains the most representative. However, other authors who have studied the dynamics of the concentrations of certain proteins in the blood caused by SF, have come to a different conclusion. For example, after the long expedition to the orbital station “Skylab” and short-term missions to the “Shuttle”, no increase in acute phase proteins was found39, but a survey of 29 astronauts after long-term space missions (from 125 to 366 days) showed that on the 2nd day after landing, the relative content of α-1 and α-2 globulin fractions increased, which is a sign of “acute” phase reaction40. There is also a discrepancy in the quantitative results for immunoglobulins G, A, and M concentrations after long expeditions: Guseva and Tashpulatov [1980] found them to be increased41, while Rykova, et al. [2001] did not find significant changes in 53 cosmonauts42. In a study of the biochemical status of astronauts after long-term (78–208 days, 52 people) and extra-long-term space missions (240–438 days, 7 persons) on the orbital station “Mir”, significant changes in albumin and α-1-, α-2-, β-, and γ-globulin were found, and the total plasma protein concentration was slightly but significantly decreased43. Leach, et al. [1983] reported that albumin concentration decreased during space flight by 50% or more compared with baseline values44. Thus, the data obtained by different investigators often does not agree with each other. This circumstance may have several causes: 1) data were obtained using methods with different analytical specificity and sensitivity. 2) In different experiments, the sets of proteins studied were different and the data were obtained on different biological subjects (rats, mice, monkeys, and humans)45. For these reasons, it is not possible to combine all these data into a single set which could be used to construct a picture of specific SF-induced changes, either on the pathway level or on the physiological level. In other words, we still cannot be certain which proteins are associated with which physiological effects. We believe that the metabolic shifts recorded after extended space missions are caused by a broad range of biochemical processes. The most pronounced of these are the decrease in intensity of biological oxidation46, 47; inhibition of the rate of protein synthesis and heat generation48; activation of gluconeogenesis43, 44; oxidative stress38, 48; reduction of the iron store capacity in organism49; lipolysis activation43, 44; hypohydration of organism5; and inhibition of natural and adaptive immunity25, 50, 51.

In the review by Grigoriev et al.52, based on a generalization of the available biochemical and morphological evidence, it was hypothesized that a decrease in all physiological processes occurred during space travel. In 2003, Biolo, et al., in their paper entitled,  “Microgravity as a model of ageing”, hypothesized that most of the changes induced by space flight were identical to those that occur during the process of aging on Earth53.

Before the appearance of post-genome era technologies, it was not possible to get the reliable picture of physiological adaptive changes induced in human organism during extended space mission. Current methods of quantitative proteomics provide us with the opportunity of achieving this goal.

Contrary to expectation, statistically significant reductions in the plasma concentrations found for only a small number of the 125 proteins quantified in the 18 cosmonauts (Supplemental Information, Table 1). Analysis of the biological processes in which these proteins are involved showed that virtually all of these plasma proteins are linked to a network of mechanisms that regulate protease activities, natural immunity, lipid turnover, coagulation pathways, and metabolism of the extracellular matrix. MacLean has hypothesized that similar effects on extracellular signaling pathways could be triggered by direct and indirect mechanotransduction54. A mutual coordination of proteins participating in regulation of the complement, lipid turnover, acute stage proteins, and proteinase inhibitors has also been observed by many authors55, 56. The complement system in mammals contributes to regulation of different functions including homeostasis maintenance, and support of liver, bone, and muscle regeneration57. In our study, Neurofilin-2 (NRP2; UniProtKB: O60462), is a protein whose plasma concentration first decreases and then returns to its original concentration within seven days after space flight. The post-flight behavior of this and several other proteins that were first observed in our study supports hypotheses concerning these protein-protein interactions, and their verification using the system phenomena recognized in gravitational physiology.

Consequently, our results show the adaptive changes in the extracellular concentration of proteins induced by spaceflight. The picture is different from that obtained from studies in the field of environmental medicine and gerontology – for example, in contrast to aging, adaptation to the space flight is a reversible process, although the recovery of certain tissues is very slow. Thus, valuable knowledge about the biological diversity of the processes associated with dynamically synthesized proteins has been obtained from our study. Our results support the hypothesis that adaptation to the conditions of space flight takes place in all of the major types of human cells, tissues, and organs. Although our research was carried out on a relatively large set of target proteins, it could not cover the entire diversity of proteins within a biological sample. This would require an expanded set of target proteins. The selection of these target proteins could be made on the basis of metabolomics data, using pathway analysis.

Weightlessness for human is completely new in evolutionary terms, being an environmental factor our species has not faced during the course of evolution. Therefore the adaptation mechanisms of the human organism to these conditions is not predictable, nor is the set of protein that is affected by these adaptation processes. In this study, we quantified a set of proteins that carry out their function in the extracellular fluid, and which are used in the clinic for diagnosing non-communicable diseases (e.g., metabolic syndrome)29. To select proteins specifically involved in adaptation to weightlessness, the most appropriate way would be to predict them from gene-based pathways which are associated with the reactions leading to the well-known physiological effects of microgravity. Currently, however, the accuracy of the approaches based on genomic pathways is not sufficient to predict the involvement of particular genes in microgravity-induced changes. Thus, by conducting research on the proteome level and selecting proteins that are significantly modulated by weightlessness, we could get a new list of proteins involved in this particular adaptation. These, in turn, will be targeted during the subsequent stages of this work.

Additional Information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. 1.

    Leach-Huntoon, C. S., Grigoriev, A. I. & Natochin, V. Y. Fluid and Electrolyte Regulation in Spaceflight. Vol. 94 (Univelt, San Diego, California, USA, 1998).

  2. 2.

    Stein, T. P. Weight, muscle and bone loss during space flight: another perspective. Eur. J. Appl. Physiol. 113, 2171–2181 (2013).

  3. 3.

    Larina, I. M., Stein, T. R., Leskiv, M. G. & Shluter, M. D. Vol. 2 (ed A.I. Grigorieva) 114–121 (LLC “Anicom”, Moscow, 2002).

  4. 4.

    Bajotto, G. & Shimomura, Y. Determinants of disuse-induced skeletal muscle atrophy: exercise and nutrition countermeasures to prevent protein loss. Journal of Nutritional Science and Vitaminology (Tokyo) 52, 233–247 (2006).

  5. 5.

    Gazenko, O. G., Grigoriev, A. I. & Natochin, J. V. Salt and water homeostasis and space flight. Moscow.: Nauka, 256. (1986).

  6. 6.

    Morukov, B. V., Noskov, V. B., Larina, I. M. & Natochin, I. V. The water-salt balance and renal function in space flights and in model experiments. Ross. Fiziol. Zh. Im. I M Sechenova 89, 356–367 (2003).

  7. 7.

    Gerzer, R. & Heer, M. Regulation of body fluid and salt homeostasis–from observations in space to new concepts on Earth. Current Pharmaceutical and Biotechnology 6, 299–304 (2005).

  8. 8.

    Drummer, C., Norsk, P. & Heer, M. Water and sodium balance in space. Am. J. Kidney Dis. 38, 684–690 (2001).

  9. 9.

    Oganov, V. S. et al. Comparative analysis of cosmonauts skeleton changes after space flights on orbital station Mir and international space station and possibilities of prognosis for interplanetary missions. Fiziol. Cheloveka 36, 39–47 (2010).

  10. 10.

    Klimovitsky, V. Y., Alpatov, A. M., Hoban-Higgins, T. M., Utekhina, E. S. & Fuller, C. Thermal regulation in Macaca mulatta during space flight. Journal of Gravitational Physiology 7, S149–152 (2000).

  11. 11.

    Lakota, N. G. & Larina, I. M. Study of temperature homeostasis in real and simulated weightlessness. Fiziol. Cheloveka 28, 82–92 (2002).

  12. 12.

    Robinson, E. L. & Fuller, C. A. Gravity and thermoregulation: metabolic changes and circadian rhythms. Pflügers Archiv 441, R32–38 (2000).

  13. 13.

    Fuller, P. M., Jones, T. A., Jones, S. M. & Fuller, C. Neurovestibular modulation of circadian and homeostatic regulation: vestibulohypothalamic connection? Proc. Natl. Acad. Sci. U. S. A. 99, 15723–15728 (2002).

  14. 14.

    Larina, I. M., Witson, P., Smornova, T. M. & Chen, J.-M. Circadian rhythms of salivary cortisol level during long-term space flight. Fiziol. Cheloveka 26, 94–100 (2000).

  15. 15.

    Fomina, G. A., Kotovskaya, A. R., Pochuev, V. I. & Zhernavkov, A. F. Mechanisms of changes in human hemodynamics under the conditions of microgravity and prognosis of postflight orthostatic stability. Fiziol. Cheloveka 34, 92–97 (2008).

  16. 16.

    Navasiolava, N. M. et al. Enforced physical inactivity increases endothelial microparticle levels in healthy volunteers. American Journal of Physiology. Heart and Circulation Physiology 299, H248–256 (2010).

  17. 17.

    Ohira, Y. et al. Gravitational unloading effects on muscle fiber size, phenotype and myonuclear number. Adv. Space Res. 30, 777–781 (2002).

  18. 18.

    Edgerton, V. R. et al. Human fiber size and enzymatic properties after 5 and 11 days of spaceflight. J. Appl. Physiol. 78, 1733–1739 (1995).

  19. 19.

    Shenkman, B. S., Nemirovskaia, T. L., Cheglova, I. A., Belozerova, I. N. & Kozlovskaia, I. B. Morphological characteristics of human m. vastus lateralis in supportless environment. Doklady - Akademiya Nauk SSSR 364, 563–565 (1999).

  20. 20.

    Brjanov, I. I., Vorobyov, E. I. & Gazenko, O. G. The results of medical research carried out on an orbital research complex Salyut- 6 - Soyuz. Nauka (Moscow) 398s (1986).

  21. 21.

    Gazenko, O. G., Grigoriev, A. I. & Kozlovskaya, I. B. Mechanisms of acute and chronic effects of microgravity. Physiologist 30, S1–5 (1987).

  22. 22.

    Kornilova, L. N., Naumov, I. A., Azarov, K. A. & Sagalovitch, V. N. Gaze control and vestibular-cervical-ocular responses after prolonged exposure to microgravity. Aviation, Space, and Environmental Medicine 83, 1123–1134 (2012).

  23. 23.

    Baevsky, R. M. et al. Autonomic cardiovascular and respiratory control during prolonged spaceflights aboard the International Space Station. J. Appl. Physiol. 103, 156–116 (2007).

  24. 24.

    Baranov, V. M., Popova, Y. A. & Suvorov, A. V. Biomedical research on the Russian segment ISS. Space biology and medicine. Moscow. 2, 72–92 (2011).

  25. 25.

    Konstantinova, I. V. Immune resistance of man in space flights. Acta Astronautica 23, 123–127 (1991).

  26. 26.

    Guéguinou, N. et al. Could spaceflight-associated immune system weakening preclude the expansion of human presence beyond Earth’s orbit? J. Leukoc. Biol. 86, 1027–1038 (2009).

  27. 27.

    Strewe, C. et al. Hyperbaric hyperoxia alters innate immune functional properties during NASA Extreme Environment Mission Operation (NEEMO). Brain Behav. Immun. 50, 52–57 (2015).

  28. 28.

    Grigor’ev, A. I., Ivanova, S. M., Morukov, B. V. & Maksimov, G. V. Development of cell hypoxia induced by factors of long-term spaceflight. Dokl. Biochem. Biophys. 422, 308–311 (2008).

  29. 29.

    Percy, A. J., Chambers, A. G., Yang, J., Hardie, D. B. & Borchers, C. H. Advances in multiplexed MRM-based protein biomarker quantitation toward clinical utility. Biochim. Biophys. Acta 1844, 917–926 (2014).

  30. 30.

    Percy, A. J., Simon, R., Chambers, A. G. & Borchers, C. H. Enhanced Sensitivity and Multiplexing with 2D LC/MRM-MS and Labeled Standards for Deeper and More Comprehensive Protein Quantitation. J. Prot. 106, 113–124 (2014).

  31. 31.

    Kuzyk, M. A. et al. Multiple reaction monitoring-based, multiplexed, absolute quantitation of 45 proteins in human plasma. Mol. Cell. Proteomics 8, 1860–1877 (2009).

  32. 32.

    Kuzyk, M. A., Parker, C. E., Domanski, D. & Borchers, C. H. Development of MRM-based assays for the absolute quantitation of plasma proteins. Methods Mol. Biol. 1023, 53–82 (2013).

  33. 33.

    Percy, A. J. et al. Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments through an MRM-with-Standard-Peptides Quantitative Approach. Adv. Exp. Med. Biol. 919, 515–530 (2016).

  34. 34.

    Percy, A. J., Mohammed, Y., Yang, J. & Borchers, C. H. A standardized kit for automated quantitative assessment of candidate protein biomarkers in human plasma. Bioanalysis 7, 2991–3004 (2015).

  35. 35.

    Mohammed, Y. et al. PeptideTracker: A knowledgebase for collecting and storing information on protein concentrations in biological tissues. Proteomics 17, 1600210 (2017).

  36. 36.

    Percy, A. J. et al. Multiplexed MRM with Internal Standards for Cerebrospinal Fluid Candidate Protein Biomarker Quantitation. J. Proteome Res. 13, 3733–3747 (2014).

  37. 37.

    Mkhitaryan, V. S., Zehin, V. A. & Ayvazyan, S. A. Workshop on multivariate statistical methods: the manual. 76 pp (Moscow State University of Economics, Statistics, and Informatics, Moscow, 2003).

  38. 38.

    Stein, T. P. & Leskiw, M. J. Oxidant damage during and after spaceflight. Am. J. Physiol. Endocrinol. Metab. 278, E375–382 (2000).

  39. 39.

    Stein, T. P. & Gaprindashvili, T. Spaceflight and protein metabolism, with special reference to humans. Am. J. Clin. Nutr. 60, 806S–819S (1994).

  40. 40.

    Larina, O. N. & Becker, A. M. Study of blood protein levels regulation of specific features for modeling the effects of microgravity on humans. Aerospace and Environmental Medicine 43, 51–56 (2006).

  41. 41.

    Guseva, E. V. & Tashpulatov, R. Y. Effect of varying duration flight on the protein composition of the blood of astronauts. Space Biology and Aerospace Medicine 14, 13–17 (1980).

  42. 42.

    Rykova, M. P., Antropova, E. N. & Meshkov, D. O. Immunological examination. Post-flight clinical and physiological studies of orbital station “MIR”. Moscow: Anika 1, 615–620 (2001).

  43. 43.

    Markin, A. A. & Zhuravleva, O. A. Biochemical analysis of blood. Post-flight clinical and physiological studies of orbital station “MIR”. Moscow: Anika 1, 606 (2001).

  44. 44.

    Leach, C. S., Altchuler, S. I. & Cintron-Trevino, N. M. The endocrine and metabolic responses to space flight. 15, 432–440 (1983).

  45. 45.

    Kononikhin, A. S. et al. Spaceflight induced changes in the human proteome. Expert Rev. Proteomics 14, 15–29 (2017).

  46. 46.

    Gazenko, O. G., Demin, N. N., Panov, A. N., Rubinskaia, N. L. & Tigranian, R. A. Protein and ribonucleic acid metabolism in the central nervous system of rats during space flight in the “Kosmos-605” satellite. Kosm. Biol. Aviakosm. Med. 10, 14–19 (1976).

  47. 47.

    Markin, A. A. & Zhuravleva, O. A. Lipid peroxidation and indicators of antioxidant defence system in plasma and blood serum of rats during 14-day spaceflight on-board orbital laboratory “Spacelab-2”. Aviakosm. Ekolog. Med. 32, 53–55 (1998).

  48. 48.

    Stein, T. P. Space flight and oxidative stress. Nutrition 18, 867–871 (2002).

  49. 49.

    Verdenskaia, N. V. et al. Microvzor-2: a system for automated dry blood smear analysis. Aviakosm. Ekolog. Med. 36, 51–55 (2002).

  50. 50.

    Hashemi, B. B. et al. T cell activation responses are differentially regulated during clinorotation and in spaceflight. FASEB J. 13, 2071–2082 (1999).

  51. 51.

    Morukov, V. B. et al. Indicators of innate and adaptive immunity of cosmonauts after long-term space flight to international space station. Fiziologia Cheloveka 36, 19–30 (2010).

  52. 52.

    Grigoriev, A. I., Kaplansky, A. S., Durnova, G. N. & Popova, I. A. Biochemical and morphological stress-reactions in humans and animals in microgravity. Acta Astronautica 40, 51–56 (1997).

  53. 53.

    Biolo, G., Heer, M., Narici, M. & Strollo, F. Microgravity as a model of ageing. Curr. Opin. Clin. Nutr. Metab. Care 6, 31–40 (2003).

  54. 54.

    Iatridis, J. C., MacLean, J. J., Roughley, P. J. & Alini, M. Effects of mechanical loading on intervertebral disc metabolism in vivo. J. Bone Joint Surg. Am. 88, 41–46 (2006).

  55. 55.

    Huber-Lang, M. et al. Generation of C5a in the absence of C3: a new complement activation pathway. Nat. Med. 12, 682–687 (2006).

  56. 56.

    Oikonomopoulou, K., Ricklin, D., Ward, P. A. & Lambris, J. D. Interactions between coagulation and complement–their role in inflammation. Seminars in Immunopathology 34, 151–165 (2012).

  57. 57.

    Ricklin, D., Hajishengallis, G., Yang, K. & Lambris, J. D. Complement: a key system for immune surveillance and homeostasis. Nat. Immunol. 11, 785–797 (2010).

Download references

Acknowledgements

This study was partly supported by the Russian Scientific Foundation (grant no. 14–24–00114). C.H.B., J.Y., and A.J.P. would like to thank Genome Canada and Genome BC for providing support to the University of Victoria-Genome BC Proteomics Centre through the Genome Innovations Network (204PRO for operations; 214PRO for technology development). C.H.B. is also grateful for support from the Leading Edge Endowment Fund and the Segal McGill Chair in Molecular Oncology at McGill University (Montreal, Quebec, Canada). C.H.B. is also grateful for support from the Warren Y. Soper Charitable Trust and the Alvin Segal Family Foundation to the Jewish General Hospital (Montreal, Quebec, Canada).

Author information

Affiliations

  1. Institute of Biomedical Problems, Russian Academy of Sciences, 76a Khoroshevskoye shosse, 123007, Moscow, Russia

    • Irina M. Larina
    • , Andrei M. Nosovsky
    •  & Anatoli I. Grigoriev
  2. University of Victoria - Genome BC Proteomics Centre, University of Victoria, Vancouver Island Technology Park, 3101–4464 Markham Street, Victoria, British Columbia, V8Z 7X8, Canada

    • Andrew J. Percy
    • , Juncong Yang
    •  & Christoph H. Borchers
  3. Department of Biochemistry and Microbiology, University of Victoria, Petch Building Room 207, 3800 Finnerty Road, Victoria, British Columbia, V8P 5C2, Canada

    • Christoph H. Borchers
  4. Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Côte Ste-Catherine Road, Montreal, Quebec, H3T 1E2, Canada

    • Christoph H. Borchers
  5. Gerald Bronfman Department of Oncology, Jewish General Hospital, 3755 Côte Ste-Catherine Road, Montreal, Quebec, H3T 1E2, Canada

    • Christoph H. Borchers
  6. Skolkovo Institute of Science and Technology, Skoltech, Moscow region, Skolkovo village, Novaya st.100, 143025, Russia

    • Evgeny N. Nikolaev
  7. Moscow Institute of Physics and Technology, Moscow region, Dolgoprudnyj, Institutskij pr. 9, 141700, Russia

    • Evgeny N. Nikolaev
  8. Institute of Energy Problems of Chemical Physics Russian Academy of Sciences, 38 k.2 Leninskij pr., 119334, Moscow, Russia

    • Evgeny N. Nikolaev

Authors

  1. Search for Irina M. Larina in:

  2. Search for Andrew J. Percy in:

  3. Search for Juncong Yang in:

  4. Search for Christoph H. Borchers in:

  5. Search for Andrei M. Nosovsky in:

  6. Search for Anatoli I. Grigoriev in:

  7. Search for Evgeny N. Nikolaev in:

Contributions

I.M.L. and E.N.N. planned the cosmonaut study and wrote the main manuscript text; C.H.B. supervised all MRM-based experiments; A.J.P. and  J.Y. performed the solution and sample preparation, the bottom-up sample processing, and the LC/MRM data analysis; A.M.N. performed the statistical analyses of the data, A.I.G. organized the sample collection procedure. All authors reviewed and approved the manuscript.

Competing Interests

  C.H.B. is the C.S.O. of MRM Proteomics, Inc.

Corresponding author

Correspondence to Evgeny N. Nikolaev.

Electronic supplementary material

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Creative Commons BY

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.