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Department of Medical Chemistry, Biochemistry and Clinical Chemistry
Zagreb University School of Medicine
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Review:
Fabian Sanchis-Gomar*1, Giuseppe Lippi2. Physical activity - an important preanalytical variable. Biochemia Medica 2014;24(1):68-79. http://dx.doi.org/10.11613/BM.2014.009
 
1Department of Physiology, Faculty of Medicine, University of Valencia; Fundación Investigación Hospital Clínico Universitario/INCLIVA, Valencia, Spain
2Laboratory of Clinical Chemistry and Hematology, Academic Hospital of Parma, Parma, Italy
*Corresponding author: fabian [dot] sanchis [at] uv [dot] es
 
Abstract
 
The concentration of several biochemical and hematological biomarkers is strongly influenced by a number of preanalytical variables. Several lines of evidence attest that short, middle, and long-term exercise, as well as the relative intensity of physical effort (from mild to strenuous), may influence a broad array of laboratory variables. The amount of extracellular release and clearance from blood of most of these biomarkers is markedly influenced by the biological characteristics of the molecule(s), level of training, type, intensity and duration of exercise, and time of recovery after training. It is hence noteworthy that test results that fall outside the conventional reference ranges in athletes not only may reflect the presence of a given disease, but may frequently mirror an adaptation to regular training or changes that have occurred during and/or following strenuous exercise, and which should be clearly acknowledged to prevent misinterpretation of laboratory data. The aim of this narrative review is to provide an update about the most significant changes of some biochemical and hematological biomarkers in response to physical exercise, for appropriate interpretation of these changes in the context of physically active subjects.
 
Key words: biomarkers; training; plasma volume; metabolism; cellular damage
 
 
Received: October 09, 2013                                                                                                                                                 Accepted: November 11, 2013
 
Introduction
 
The concentration of several biochemical and hematological biomarkers is typically assessed for diagnosis of and screening for a large number of human disorders, since their values may contribute to up to 70% of the clinical decision making (1). Among the most common problems throughout the testing process, biological variability has an important impact on interpretation of test results (1,2). Biological variability basically entails patient-related physical variables such as physical exercise, diet, stress, positional effects, menstruation, circadian rhythm (time-of-day), pregnancy, life style, age, gender, and environmental factors such as climate and altitude (1,3). Accordingly, the values of some biomarkers in physically active subjects should be cautiously interpreted, since their results may fall outside the conventional reference ranges, reflecting an adaptation to regular training or changes that have occurred during and/or following strenuous exercise, rather than the presence of a given disease. Short, middle, and long-term exercise, as well as the relative intensity of the physical effort, may influence a broad array of laboratory variables (4). The biological characteristics of the molecule(s), the level of training, the type, intensity and duration of exercise, and the time of recovery after training are factors that markedly influence the amount of extracellular release and clearance from blood of several biomarkers (2). How frequently physical activity as preanalytical variable affects some clinical chemistry, hematology, and coagulation tests will be discussed in this article. The aim of this narrative review is therefore to describe the implications of physical activity on variability of several biomarkers, and to identify the changes that occur in subjects who undergo regular physical activity or during and/or following strenuous exercise. This review will also briefly address the different types of exercise and the essential influence of physical activity on laboratory testing. It will then describe the changes induced by physical activity in some biomarkers and hematological parameters conventionally used in clinical practice, to emphasize the concept that, compared with conventional reference ranges, abnormal values in athletes may underlie pathology or injury, but also a simply systemic adaptation to exercise (5).
Types of exercise and its implications
Although it seems obvious that a clear difference exists between the terms “physical activity”, “training”, and/or “exercise” (6), in this review we will use these concepts interchangeably because the data originate from studies that use these terms as synonymous.
In brief, voluntary muscle exercise can be performed in a constant manner (endurance), in a dynamic (e.g., cycling or running) or static mode, and can also be exhaustive or non-exhaustive, also called strenuous or non-strenuous (5). Exhaustive exercise includes acute, very prolonged exercise, a period of intensified training, non-functional overreaching and overtraining syndrome. It can be performed under aerobic or anaerobic conditions (7). Examples of partially anaerobic exercise include sprint (efforts < 1 min), and exercise under high-force isometric conditions. Only certain types of exercise are completely anaerobic, and these necessarily last for only a few seconds (e.g., power lifting). Contractions during exercise may be isometric (muscle contraction without appreciable muscle shortening) or non-isometric (muscle contraction with muscle shortening), isokinetic (constant velocity throughout movement) or non-isokinetic (changing velocity during contraction), or concentric (muscle shortening) or eccentric (muscle lengthening) (7,8).
The magnitude of physiological stress and the resultant responses are a combination of intensity of physical activity and physiological demands related to the fitness of the exerciser. For example, acute high-intensity exercise such as cycling 30 km in 1 hour would constitute a relatively light bout of exercise for a fit endurance cyclist, representing a relative low physiological stress. However, for a less fit or sedentary subject, attempting the same amount of exercise may be very close to maximum capacity and would thereby represent a strenuous effort, associated also with a high physiological stress. The clinical implications of this aspect are that the same bout of exercise may produce very different responses and changes in a wide range of biomarkers and hematological parameters depending on level of fitness (9). Thus, for an unfit subject, changes in some biomarkers may be evident, whereas for a fit practitioner, the modification of circulating biomarkers may only be evident after more strenuous bouts of exercise such as marathons or ultramarathons (10-13), iron-man triathlon or ultra-distance races (e.g., Tour de France) (8).
Therefore, although it is frequently challenging to operate a clear separation, we can basically discriminate the effects of exercise on laboratory tests in two major clusters:
i)   Short-term acute adaptations to high-intensity/strenuous exercise.
ii) Long-term chronic adaptations to regular exercise.
Influence of physical activity on laboratory test results
Plasma volume changes (PV)
PV change is an important factor that contributes to the variability of several parameters in blood, and assumes special significance in athletes, who may be subjected to intense dehydration especially when performing strenuous exercise under extreme environmental conditions (14-20). Increases or decreases in PV related to the type of training exercise have been described:
Hemoconcentration: transient exercise-induced dehydration or hypohydration can produce a reduction in PV, and consequently hemoconcentration. It is usually associated with acute exercise and in function of warm environment, humidity, reduced fluid intake, exercise intensity, etc… (21).
Plasma volume expansion or hemodilution: blood volume is higher in trained individuals compared with untrained individuals. The larger blood volume after long-term endurance training is mostly due to an increase of plasma volume (plasma expansion) and erythrocyte volume (14,22).
Increased basal metabolism
It is well-known that exercise increases basal energy demands and, therefore, basal metabolism (1,18,19). These adaptations to exercise produce many fluctuations in several analytes.
Increases in cellular damage
Exhaustive or acute physical exercise causes an increased generation of reactive oxygen species (ROS), and magnifies oxidative stress in muscle and other organs, resulting in cell damage (23,24). Therefore, oxidative stress is clearly involved in cellular damage induced by exercise.
The main laboratory parameters affected by physical activity
Skeletal muscle, liver and cardiac damage biomarkers
Middle and long-term endurance and/or strenuous exercise triggers transient elevations of muscular and cardiac biomarkers such as cardiac troponins (Tns), natriuretic peptides, neutrophil gelatinase associated lipocalin (NGAL) alanine aminotransferase (ALT), creatine kinase (CK), aspartate aminotransferase (AST), lactate dehydrogenase (LD) among others (2,25-28).
Strenuous exercise such as marathon and ultra-marathon may induce transitory elevation of Tns concentrations (29). Normal physical activity can also induce Tns rise in healthy individuals. In a small study on adolescents, more than half of the participants developed Tn increase after basketball training (30). The same has been reported after a treadmill test (31). In a study of cardiac healthy middle-aged subjects who were subjected to a maximal bicycle stress test, almost half of them had a Tn increase after exercise (32). In these studies the Tn levels exceeded the 99th percentile of the upper reference range (URL) in several subjects. These elevated values can formally fulfil the criteria for acute myocardial infarction. For instance, in 105 endurance athletes, both cardiac Tns (cTnI and cTnT) concentrations showed exercise-induced increases in (74% and 47%, respectively) (33). Likewise, increased cTnT are frequently found in recreational runners after a marathon race (34). In addition, increases in CK and CK-MB activity were also observed. These increments were neither related to athlete’s age, nor to the presence of cardiovascular risk factors. In long-distance runners, CK, CK-MB, AST, and ALT were above the corresponding clinical cut-off values at rest (35). Furthermore, significant elevations above rest were observed for all biomarkers except ALT after a 21 km run, with cTnI, CK, CK-MB, LD and AST remaining increased over baseline up to 24 h post-workout (35).
Kratz and co-workers (36) showed that several samples from trained marathoners obtained before the race had laboratory results exceeding the conventional reference range. For instance, increases were noted in CK-MB (11%) and ALT (5%) (36). Lippi et al. also observed that the number of half-marathon runners which exceeded the conventional reference ranges did not change during the race for AST and LD, whereas both CK and CK-MB increased significantly (11), concluding that results obtained in physically active subjects should be cautiously interpreted since abnormal values may reflect an adaptation to regular training rather than an underlining disease.
As regards the variations observed after exercise, published data are incongruent for many analytes depending on type, duration and intensity of exercise. For instance, Takahashi et al. (37) reported that only LD increased after a rugby match lasting 10 min, while CK, AST, and ALT remained basically unchanged. On the other hand, other studies showed that maximal physical exercise (e.g., running) induces transient elevation of muscle and hepatic enzymes (38). When exercise loading exceeds the limit of muscle ability, CK and LD leak into the interstitial fluid and are released into circulation (25). Moreover, in well-trained athletes a positive correlation has been found between mean sprint velocity and activities of LD isoenzymes 4 and 5 (39). AST is contained in striated muscle and increases with ALT and CK after exercise (40). A study in 37 marathon runners evaluated biological parameters before a marathon, and 4 and 24 hours afterward (36). An increase in ALT and AST was observed in samples collected 4 hours after the marathon, and remained elevated 24 hours afterward. An acute bulk of aerobic physical exercise also produced significant changes in the activity of traditional biomarkers of liver injury such as gamma-glutamyl transpeptidase (GGT), AST, LD, CK (10). ALT, AST, LD and CK also increased after a Wingate test (30 seconds of maximal sprint against a constant resistance related to body mass − 0.087 kg / kgbody mass −) (3). Furthermore, Lippi et al. observed in 10 healthy trained Caucasian males who performed 21-km run significant elevations in glycogen phosphorylase isoenzyme BB (GPBB), carbonic anhydrase III (CAIII), heart-type fatty acid-binding protein (H-FABP), CK-MB, and myoglobin immediately after the race (2). The concentrations of GPBB and H-FABP returned to baseline after 6 and 3h, respectively, while those of CAIII, CK-MB and myoglobin remained elevated up to 24 h after the run (2). More recently, Salvagno et al. studied the pre- and post-competition concentrations of high-sensitivity cTnI, N-terminal-pro-B-type natriuretic peptide (NT-proBNP) and galectin-3 in 18 trained athletes who performed a 60-km ultramarathon run (41). The concentration of all these biomarkers measured in the post-race samples was remarkably increased when compared with the values obtained on baseline values. In particular, the median increase when compared with baseline values was 3.3-fold for cTnI, 3.5-fold for NT-proBNP, and 2.4-fold for galectin-3, respectively (41).
A study performed in healthy endurance athletes reported that increases in NT-proBNP can be found in a major part of obviously healthy athletes after prolonged strenuous exercise and are correlated with exercise time (33). The concentration of NT-proBNP also increased in seven well-trained endurance runners (five male and two female) who participated in the Two Oceans 56 km ultramarathon trial (42). In a study performed in professional cyclists, NT-proBNP values were found to be lower than those of sedentary controls (19). The natriuretic peptides are neurohormones that typically reflect a condition of increased cardiac stress and exhibit a ductile response to physical exercise. Therefore, the reduced levels of NT-proBNP in trained subjects can be interpreted as a physiological and potentially beneficial adaptation of heart structure and function to regular physical exercise. The acute increase of NT-proBNP values after exercise is also predictable, and has been previously described in endurance athletes and in marathoners (34,43), as an acute and benign consequence of increase cardiac output (34). Exercise performed at 50% of the maximal heart rate increases NTproBNP concentrations over pre-exercise levels in patients with heart failure, whereas no similar increase was observed in reference individuals for the same or even higher exercise intensity (44). Thus, physical exercise before sampling may have an effect on NT-proBNP concentrations.
Hematological and related parameters
Red blood cells (RBC), hemoglobin (Hb), hematocrit (Hct) and reticulocytes (Ret %)
 
Increases in exercise training might justify a significant drop in RBC and Hb concentration (45). Schumacher et al. reported that exercise training alone did not change Hb concentrations in athletes when compared with untrained controls (46). However, Bojadjiev and Taralov showed that chronic (i.e., more than one year) high-intensity training decreases Hb concentration in pubescent boys and girls: 7.21% and 5.61% lower, respectively (47). Banfi and Del Fabbro (48), reported that Ret% and Hb decreased in rugby players throughout one competitive season. Similarly, Hb values also decreased in cyclists during a competitive season when compared with values measured before the start of training and/or competition (48). Again, Banfi and collaborators observed that Hb, RBC and Hct decreased in professional cyclists during the Giro d’Italia, stabilizing in the second part, but at the end of the race all values were lower as compared with the baseline (6.7%, 6.8%, and 4.9%, respectively), while Ret% remained stable (49). Wirnitzer and Faulhaber also reported decreases in both Hb and Hct after an eight-day mountain bike race (13.4% and 16%, respectively) (50), whereas Hu and co-workers observed lower mean cell hemoglobin concentration (MCHC) in physically inactive men after 20-week of resistance training (control 0.40% vs. training – 0.74%) (51). Likewise, in both cross-country and alpine-skiers, decreased Hb concentrations have been also found (52,53). Recently, Diaz et al. (54) reported that Hb concentrations remained stable in elite triathletes along four consecutive seasons, albeit fluctuations related to training volumes and stimuli could also be observed. Interestingly, Lombardi et al. reported that swimming in cold water induced significant increases in RBC (55), probably due to significant hemoconcentration and were then attributed to sympathetic system activation and subsequent vasoconstriction. Moreover, Hct and RBC increased after a Wingate test (3). It is also noteworthy that lower Hb concentration for most of the year were found in ironman triathletes as compared with untrained subjects (56). The effects of chronic exercise training on Hb and RBC values have a physiological explanation, in that the large expansion in PV that occurs with chronic endurance training is accompanied by a decrease in blood Hb and RBC concentration (14,22).
 
White blood cells (WBC)
 
Strenuous exercise typically triggers leukocytosis (57,58). Kratz et al. (36) described the mean WBC in a group of 37 male and female athletes, which rose from 5.6 to 17.0 (× 109 / L) 4 hours after running a marathon. Twenty-four hours after the race, this change was persistent, although not significant. As was the case in other studies, post-race WBC differential demonstrated that elevation in WBC was primarily due to an increase in neutrophil value, although a mild monocytosis was also noted. Thus, Lombardi et al. observed that swimming in cold water increases WBC values in fifteen healthy subjects (55). The relative number of leukocytes did not change significantly, apart from a strong decrease of the eosinophils population, a strong increase in the total number of neutrophil granulocytes, lymphocytes and monocytes was noted (55). The same pattern was observed after a Wingate test (3). The best explanations of exercise-induced leukocytosis include demargination of WBCs secondary to augmented blood flow during exercise, an acute inflammatory response due to tissue injury, and exercise-induced increases in epinephrine and cortisol levels (36,59). Exercise induced leukocytosis should not be confused with another underlying infectious or inflammatory process, which would be characterized by other suggestive clinical findings.
Hemostasis
Excess physical activity in patients immediately prior to collection can lead significant effects on hemostasis (18). The best-known acute effects are related to acute phase reactants, which may rise due to physical activity, and include fibrinogen, von Willebrand factor (VWF), and Factor VIII (60). Exercise activates coagulation (61), and physiological stress is associated with changes in both the coagulation and fibrinolytic systems (62). Thus, exercise may impact on the assessment of coagulation and fibrinolysis in an exercise intensity-dependent manner (63). Platelet aggregation is enhanced during, and within 1 h after, moderate exercise (64). Platelets count increased significantly in fifteen healthy subjects after swimming in cold water (55).
Renal function markers
The increased blood flow through the muscles during exercise causes a dramatic decrease of circulation in the renal district, which seems directly proportional to extent and duration of exercise (65). Several mechanisms have been suggested to explain the perturbation of renal hemodynamics induced by exercise, including an increased sympathetic nervous system outflow as well as a heightened activity of two important vasoconstrictors such as angiotensin II and vasopressin (66). These changes are counterbalanced by a local mechanism of autoregulation, which is aimed to preserve the glomerular filtration rate (GFR). The resulting increased filtration fraction, which can be twice as high as in resting condition, partially limits the transfer of metabolites or substances through the glomeruli and reduces the extent of exercise proteinuria (67). A post-exercise, transient proteinuria (i.e., with half-time of approximately 1 hour) is commonplace in athletes and appears to be directly related to the intensity (and duration) of exercise (67). It is mainly due to a combined mechanism of increased clearance of plasma proteins due to increased glomerular permeability, and a partial inhibition of tubular reabsorption of macromolecules (66).
 
Creatinine
 
Banfi and Del Fabbro found that professional athletes at rest such as professional cyclists, triathletes, basketball players, racing motorcyclists, soccer players, alpine skiers, and rugby players have significantly lower serum creatinine concentration than healthy sedentary individuals (68). In addition, significant differences between each group of athletes of different sports modalities were also observed, and this has been attributed to the well established relationship existing between creatinine and BMI (e.g., rugby players have creatinine concentrations higher than those recorded in the general population, while cyclists have values lower than those of the general population). Scharhag et al. reported that mean creatinine concentration significantly increased after exercise, irrespective of the baseline muscle mass and of the body mass index (33). Otherwise, professional cyclists and cross country skiers displayed lower serum creatinine concentration than healthy sedentary individuals (15,69), although these values were measured during periods of competition (summer), and after a 24 h period of rest from the last training session. Again Lippi et al. showed that the mean serum creatinine level was significantly higher in sedentary subjects than in amateur and professional cyclists, being also higher in amateur than in professional cyclists (70). In addition, the mean estimated GFR was significantly lower in the sedentary population than in the subgroups of amateur and professional cyclists, concluding that the average intensity of daily physical exercise was inversely associated with serum creatinine and positively associated with the estimated GFR (70). After the race, creatinine concentrations also increased significantly in marathon and half-marathon runners (71). Creatinine concentrations also increased after a Wingate test (3). Serum and urinary creatinine increased significantly in 16 trained male athletes who ran a 60 km ultramarathon by 38% and 78%, respectively. The eGFR contextually decreased by 31%. In 6 out of 16 athletes (38%), the acute post-exercise increase of serum creatinine met the criteria of acute kidney injury (AKI). A significant correlation was found between pre- and post-exercise changes of serum creatinine (28). Accordingly, the use of reference intervals based on general populations is not recommended in sports medicine, to avoid misinterpretation of data. It is also noteworthy that recent evidence attests that the use of cystatin C for monitoring renal function in athletes may be more appropriate than using creatinine-based equation, since this biomarker is indeed less biased by muscle mass and body mass index (72).
 
NGAL (neutrophil gelatinase associated lipocalin)
 
NGAL is a 25-kDa acute phase protein produced by the kidney tubule studied as a potential biomarker of AKI and also up-regulated in other pathological conditions such as atherosclerosis and myocardial infarction (73,74). This biomarker has been studied in 16 trained male athletes who ran a 60 km ultramarathon (28), and increased serum and urinary NGAL values (by 1.6-fold and 7.7-fold, respectively) were found (28).
Iron metabolism
Iron and ferritin
 
Several studies showed a high incidence of iron deficiency in athletes, particularly in runners and cyclists. Decreased serum ferritin values have been found in male runners compared with the control group (75). In addition, it was also observed that female marathon runners had low ferritin levels (76). Interestingly, women may have an increased prevalence of exercise-related alterations in body iron because of a net negative iron balance (77). In middle- and long-distance runners, serum ferritin was borderline when compared with a group of non-runners (78). After a 6-week strength training program in 12 male, mean ferritin values dropped from 75 to 49 μg/L, whereas no changes were appreciated in serum iron or transferrin levels (79). Iron deficiency was also detected in 17% of males and 40% to 47% of females high school athletes (80). During an 8-month training season significantly decreased serum ferritin values were noted in swimmers (81). In professional cyclists who participated in the Giro d’Italia, a significant decrease in serum iron concentration was noted after the race (49).
 
Hepcidin
 
Hepcidin is a liver-produced peptide which acts as the major regulator of iron metabolism in the body (82). Hepcidin is expressed in response to a wide range of physiological changes such as inflammation, hypoxia and elevated iron levels (83). In addition, the main mediators of hepcidin activity are the inflammatory cytokine Interleukin-6 (IL-6) and oxidative stress (84). In several studies by Peeling et al., the authors extensively observed that hepcidin significantly increase after exercise in both moderately and highly trained subjects (82,85,86). Roeckner et al. also noted significant increase in hepcidin 24 h post-run in moderately trained females (87).
Inflammation and infection biomarkers
C-reactive protein (CRP)
 
Strenuous exercise increases the concentration of CRP, and this variation is potentially dichotomous, being dependent upon the physical exercise per se or attributable to muscle damage following strenuous muscular efforts, trauma or even sports injuries (88). For instance, CRP concentrations, as measured with a conventional assay, increased between day 1 (0.36 ± 0.25 mg/L) and day 22 (2.51 ± 2.60 mg/L) in professional cyclists during the Giro d’Italia (49). In marathon runners, CRP levels measured with a conventional assay increased significantly from pre-race to post-race, increasing further 24h after the race (89). In healthy adults a higher frequency of physical activity was associated with significantly lower CRP concentrations measured with a standard technique (limit of analytical sensitivity of 0.22 mg/dL) (90). Margeli et al. found that CRP levels (analytical sensitivity of the method was not specified) markedly increased by 152-fold over the baseline at the end of an ultradistance foot race of continuous, moderate intensity exercise of 246 km distance, remaining elevated for more than 48 hours (91). In another study also performed in fifteen healthy endurance-trained runners who participated in the 2006 Spartathlon ultra distance running race (246 km), the concentration of CRP (analytical sensitivity of the method was not specified) was dramatically increased after the end of the race (116-fold increase)(92).
 
Interleukin 6 (IL-6)
 
IL-6 is a key player in the inflammatory response. Changes in IL-6 concentrations > 60% (2 times the biological variation) are likely to reflect changes in disease activity and not only preanalytical or normal biological variability. Exercise (cycling) increases serum IL-6 in healthy subjects (93). Markedly increased (by 8000-fold over the baseline) IL-6 levels were found at the end of an ultradistance foot race of continuous, moderate intensity exercise of 246 km distance, with return to normal within 48h (91). IL-6 concentrations were also increased in seven well-trained endurance runners who participated in the Two Oceans 56 km ultramarathon trial (42), as well as in fifteen healthy endurance-trained runners who participated in the 2006 Spartathlon ultra distance running race (246 kilometres) (92).
 
suPAR
 
The soluble urokinase plasminogen activating receptor (suPAR) is a circulating protein, with a molecular weight comprised between 20 to 50 kDa (94). Circulating suPAR predicts cancer, cardiovascular disease, diabetes and mortality in the general population (95), whereas systemic concentrations of suPAR correlate positively with markers of organ dysfunction and severity-of-disease classification system scores (96). Serum suPAR concentration did not significantly increase in soccer players after a match (97). Therefore, at variance with other consolidated inflammatory biomarkers, suPAR seems to be less influenced by physical exercise.
Hormones
Several hormones undergo acute changes as a consequence of physical activity, as recently reviewed by Viru (98). In brief, cortisol and ß-endorphin increases during or after high intensity short-duration exercise, and during exercise of lower intensity when exceeding 2-3h. It has also been reported that testosterone increases with high-intensity exercise, but may decrease if the exercise is very prolonged. Physical activity could positively influence the age-related decline of male testosterone concentrations (99). Insulin decreases during exercise but increases post-exercise to facilitate muscle glycogen replenishment and training adaptations (98). The serum concentrations of testosterone, cortisol, and growth hormone (GH) were measured during and after combined strength (S) and endurance (E) loading sessions, reversing the order of exercises (ES vs. SE) in recreational endurance trained subjects (100). After SE, augmented cortisol concentrations were observed. Thereafter, testosterone decreased at 24 and 48 h, being significantly lower than those observed after ES sessions. In addition, a significant difference in testosterone levels was observed between ES and SE loadings in women. GH response in men also differed significantly after combined loading sessions (100).
Concluding remarks
Healthy individuals are susceptible to variations of several biological markers after physical exercise. In some cases these levels may exceed the decision thresholds used to diagnose pathological conditions. This has consequences for assessment of health status. Patients with certain elevated or decreased analytes and uncertain findings should therefore be asked whether they had been physically active around the time when the test was taken or maybe regularly physical active. Alternatively, the abstention from physical exercise 48 h before blood sampling should be considered.
 
Potential conflict of interest
None declared.
 
References
 
 1. Lippi G, Guidi GC, Mattiuzzi C, Plebani M. Preanalytical variability: the dark side of the moon in laboratory testing. Clin Chem Lab Med 2006;44:358-65. http://dx.doi.org/10.1515/CCLM.2006.073.
 2. Lippi G, Schena F, Montagnana M, Salvagno GL, Guidi GC. Influence of acute physical exercise on emerging muscular biomarkers. Clin Chem Lab Med 2008;46:1313-8. http://dx.doi.org/10.1515/CCLM.2008.250.
 3. Hammouda O, Chtourou H, Chahed H, Ferchichi S, Chaouachi A, Kallel C, et al. High intensity exercise affects diurnal variation of some biological markers in trained subjects. Int J Sports Med 2012;33:886-91. http://dx.doi.org/10.1055/s-0032-1301887.
 4. Lippi G, Banfi G, Botre F, de la Torre X, De Vita F, Gomez-Cabrera MC, et al. Laboratory medicine and sports: between Scylla and Charybdis. Clin Chem Lab Med 2012;50:1309-16. http://dx.doi.org/10.1515/cclm-2012-0062.
 5. Vina J, Sanchis-Gomar F, Martinez-Bello V, Gomez-Cabrera MC. Exercise acts as a drug; the pharmacological benefits of exercise. Br J Pharmacol 2012;167:1-12. http://dx.doi.org/10.1111/j.1476-5381.2012.01970.x.
 6. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep 1985;100:126-31.
 7. Finsterer J. Biomarkers of peripheral muscle fatigue during exercise. BMC Musculoskelet Disord 2012;13:218. http://dx.doi.org/10.1186/1471-2474-13-218.
 8. Sanchis-Gomar F, Olaso-Gonzalez G, Corella D, Gomez-Cabrera MC, Vina J. Increased Average Longevity among the “Tour de France” Cyclists. Int J Sports Med 2011;32:644-7. http://dx.doi.org/10.1055/s-0031-1271711.
 9. Bird SR, Linden M, Hawley JA. Acute changes to biomarkers as a consequence of prolonged strenuous running. Ann Clin Biochem 2013; doi: 10.1177/0004563213492147. http://dx.doi.org/10.1177/0004563213492147.
10. Lippi G, Schena F, Montagnana M, Salvagno GL, Banfi G, Guidi GC. Significant variation of traditional markers of liver injury after a half-marathon run. Eur J Intern Med 2011;22:e36-8. http://dx.doi.org/10.1016/j.ejim.2011. 02.007.
11. Lippi G, Schena F, Salvagno GL, Montagnana M, Gelati M, Tarperi C, et al. Acute variation of biochemical markers of muscle damage following a 21-km, half-marathon run. Scand J Clin Lab Invest 2008;68:667-72. http://dx.doi.org/10.1080/00365510802126844.
12. Lippi G, Schena F, Salvagno GL, Tarperi C, Aloe R, Guidi GC. Comparison of conventional and highly-sensitive troponin I measurement in ultra-marathon runners. J Thromb Thrombolysis 2012;33:338-42. http://dx.doi.org/10.1007/s11239-011-0651-0.
13. Lippi G, Schena F, Dipalo M, Montagnana M, Salvagno GL, Aloe R, et al. Troponin I measured with a high sensitivity immunoassay is significantly increased after a half marathon run. Scand J Clin Lab Invest 2012;72:467-70. http://dx.doi.org/10.3109/00365513.2012.697575.
14. Sawka MN, Convertino VA, Eichner ER, Schnieder SM, Young AJ. Blood volume: importance and adaptations to exercise training, environmental stresses, and trauma/sickness. Med Sci Sports Exerc 2000;32:332-48. http://dx.doi.org/10.1097/00005768-200002000-00012.
15. Lippi G, Brocco G, Franchini M, Schena F, Guidi G. Comparison of serum creatinine, uric acid, albumin and glucose in male professional endurance athletes compared with healthy controls. Clin Chem Lab Med 2004;42:644-7. http://dx.doi.org/10.1515/CCLM.2004.110.
16. Lippi G, Franchini M, Guidi G. Haematocrit measurement and antidoping policies. Clin Lab Haematol 2002;24:65-6. http://dx.doi.org/10.1046/j.1365-2257.2002.00425.x.
17. Lippi G, Brocco G, Salvagno GL, Montagnana M, Dima F, Guidi GC. High-workload endurance training may increase serum ischemia-modified albumin concentrations. Clin Chem Lab Med 2005;43:741-4. http://dx.doi.org/10.1515/CCLM.2005.126.
18. Lippi G, Salvagno GL, Montagana M, Guidi GC. Chronic influence of vigorous aerobic training on hemostasis. Blood Coagul Fibrinolysis 2005;16:533-4. http://dx.doi.org/10.1097/01.mbc.0000183117.66605.a3.
19. Lippi G, Salvagno GL, Montagnana M, Schena F, Ballestrieri F, Guidi GC. Influence of physical exercise and relationship with biochemical variables of NT-pro-brain natriuretic peptide and ischemia modified albumin. Clin Chim Acta 2006;367:175-80. http://dx.doi.org/10.1016/j.cca.2005.11.018.
20. Sanchis-Gomar F, Lippi G. Hb(mass) for anti-doping purposes should be assessed in combination with hemoglobin and blood volume. Int J Sports Med 2012;33:502. http://dx.doi.org/10.1055/s-0032-1312625.
21. Sawka MN, Montain SJ. Fluid and electrolyte supplementation for exercise heat stress. Am J Clin Nutr 2000;72:564S-72S.
22. McArdle W, Katch F, Katch V eds. Essentials of Exercise Physiology. 2nd ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2000.
23. Sanchis-Gomar F, Bonaguri C, Aloe R, Pareja-Galeano H, Martinez-Bello V, Gomez-Cabrera MC, et al. Effects of acute exercise and xanthine oxidase inhibition on novel cardiovascular biomarkers. Transl Res 2013;162:102-9. http://dx.doi.org/10.1016/j.trsl.2013.02.006.
24. Gomez-Cabrera MC, Borras C, Pallardo FV, Sastre J, Ji LL, Vina J. Decreasing xanthine oxidase-mediated oxidative stress prevents useful cellular adaptations to exercise in rats. J Physiol 2005;567:113-20. http://dx.doi.org/10.1113/jphysiol.2004.080564.
25. Brancaccio P, Lippi G, Maffulli N. Biochemical markers of muscular damage. Clin Chem Lab Med 2010;48:757-67. http://dx.doi.org/10.1515/CCLM.2010.179.
26. Corsetti R, Lombardi G, Barassi A, Lanteri P, Colombini A, D’Eril GM, et al. Cardiac indexes, cardiac damage biomarkers and energy expenditure in professional cyclists during the Giro d’Italia 3-weeks stage race. Biochem Med 2012;22:237-46. http://dx.doi.org/10.11613/BM.2012.026.
27. Colombini A, Corsetti R, Machado M, Graziani R, Lombardi G, Lanteri P, et al. Serum creatine kinase activity and its relationship with renal function indices in professional cyclists during the Giro d’Italia 3-week stage race. Clin J Sport Med 2012;22:408-13. http://dx.doi.org/10.1097/JSM.0b013e31825e66cc.
28. Lippi G, Sanchis-Gomar F, Salvagno GL, Aloe R, Schena F, Guidi GC. Variation of serum and urinary neutrophil gelatinase associated lipocalin (NGAL) after strenuous physical exercise. Clin Chem Lab Med 2012;50:1585-9. http://dx.doi.org/10.1515/cclm-2011-0954.
29. Lippi G, Cervellin G, Banfi G, Plebani M. Cardiac troponins and physical exercise. It’s time to make a point. Biochem Med 2011;21:55-62. http://dx.doi.org/10.11613/BM.2011.012.
30. Nie J, Tong TK, Shi Q, Lin H, Zhao J, Tian Y. Serum cardiac troponin response in adolescents playing basketball. Int J Sports Med 2008;29:449-52. http://dx.doi.org/10.1055/s-2007-989236.
31. Shave R, Ross P, Low D, George K, Gaze D. Cardiac troponin I is released following high-intensity short-duration exercise in healthy humans. Int J Cardiol 2010;145:337-9. http://dx.doi.org/10.1016/j.ijcard.2009.12.001.
32. Tjora S, Gjestland H, Mordal S, Agewall S. Troponin rise in healthy subjects during exercise test. Int J Cardiol 2011;151:375-6. http://dx.doi.org/10.1016/j.ijcard.2011.06.106.
33. Scharhag J, Herrmann M, Urhausen A, Haschke M, Herrmann W, Kindermann W. Independent elevations of N-terminal pro-brain natriuretic peptide and cardiac troponins in endurance athletes after prolonged strenuous exercise. Am Heart J 2005;150:1128-34. http://dx.doi.org/10.1016/j.ahj.2005.01.051.
34. Herrmann M, Scharhag J, Miclea M, Urhausen A, Herrmann W, Kindermann W. Post-race kinetics of cardiac troponin T and I and N-terminal pro-brain natriuretic peptide in marathon runners. Clin Chem 2003;49:831-4. http://dx.doi.org/10.1373/49.5.831.
35. Nie J, Tong TK, George K, Fu FH, Lin H, Shi Q. Resting and post-exercise serum biomarkers of cardiac and skeletal muscle damage in adolescent runners. Scand J Med Sci Sports 2011;21:625-9. http://dx.doi.org/10.1111/j.1600-0838.2010.01096.x.
36. Kratz A, Lewandrowski KB, Siegel AJ, Chun KY, Flood JG, Van Cott EM, et al. Effect of marathon running on hematologic and biochemical laboratory parameters, including cardiac markers. Am J Clin Pathol 2002;118:856-63. http://dx.doi.org/10.1309/14TY-2TDJ-1X0Y-1V6V.
37. Takahashi I, Umeda T, Mashiko T, Chinda D, Oyama T, Sugawara K, et al. Effects of rugby sevens matches on human neutrophil-related non-specific immunity. Br J Sports Med 2007;41:13-8. http://dx.doi.org/10.1136/bjsm.2006.027888.
38. Burger-Mendonca M, Bielavsky M, Barbosa FC. Liver overload in Brazilian triathletes after half-ironman competition is related muscle fatigue. Ann Hepatol 2008;7:245-8.
39. Ohkuwa T, Miyamura M. Plasma LDH isozyme after 400-m sprinting in long-distance runners and untrained subjects. Jpn J Physiol 1986;36:391-5. http://dx.doi.org/10.2170/jjphysiol.36.391.
40. Baume N, Schumacher YO, Sottas PE, Bagutti C, Cauderay M, Mangin P, et al. Effect of multiple oral doses of androgenic anabolic steroids on endurance performance and serum indices of physical stress in healthy male subjects. Eur J Appl Physiol 2006;98:329-40. http://dx.doi.org/10.1007/s00421-006-0271-0.
41. Salvagno GL, Schena F, Gelati M, Danese E, Cervellin G, Guidi GC, et al. The concentration of high-sensitivity troponin I, galectin-3 and NT-proBNP substantially increase after a 60-km ultramarathon. Clin Chem Lab Med 2013:1-6. http://dx.doi.org/10.1515/cclm-2013-0601.
42. Hew-Butler T, Noakes TD, Soldin SJ, Verbalis JG. Acute changes in endocrine and fluid balance markers during high-intensity, steady-state, and prolonged endurance running: unexpected increases in oxytocin and brain natriuretic peptide during exercise. Eur J Endocrinol 2008;159:729-37. http://dx.doi.org/10.1530/EJE-08-0064.
43. Scharhag J, Urhausen A, Schneider G, Herrmann M, Schumacher K, Haschke M, et al. Reproducibility and clinical significance of exercise-induced increases in cardiac troponins and N-terminal pro brain natriuretic peptide in endurance athletes. Eur J Cardiovasc Prev Rehabil 2006;13:388-97. http://dx.doi.org/10.1097/00149831-200606000-00015.
44. Kjaer A, Appel J, Hildebrandt P, Petersen CL. Basal and exercise-induced neuroendocrine activation in patients with heart failure and in normal subjects. Eur J Heart Fail 2004;6:29-39. http://dx.doi.org/10.1016/S1388-9842(03)00035-7.
45. Sanchis-Gomar F, Banfi G, Pareja-Galeano H, Martinez-Bello V, Lippi G. Anemia, heart failure and exercise training. Int J Cardiol 2013;165:587-8. http://dx.doi.org/10.1016/j.ijcard.2012.09.028.
46. Schumacher YO, Schmid A, Grathwohl D, Bultermann D, Berg A. Hematological indices and iron status in athletes of various sports and performances. Med Sci Sports Exerc 2002;34:869-75. http://dx.doi.org/10.1097/00005768-200205000-00022.
47. Boyadjiev N, Taralov Z. Red blood cell variables in highly trained pubescent athletes: a comparative analysis. Br J Sports Med 2000;34:200-4. http://dx.doi.org/10.1136/bjsm.34.3.200.
48. Banfi G, Del Fabbro M. Behaviour of reticulocyte counts and immature reticulocyte fraction during a competitive season in elite athletes of four different sports. Int J Lab Hematol 2007;29:127-31. http://dx.doi.org/10.1111/j.1751-553X.2006.00847.x.
49. Corsetti R, Lombardi G, Lanteri P, Colombini A, Graziani R, Banfi G. Haematological and iron metabolism parameters in professional cyclists during the Giro d’Italia 3-weeks stage race. Clin Chem Lab Med 2012;50:949-56. http://dx.doi.org/10.1515/cclm-2011-0857.
50. Wirnitzer KC, Faulhaber M. Hemoglobin and hematocrit during an 8 day mountainbike race: A field study. Journal of Sports Science and Medicine 2007;6:265-66.
51. Hu M, Finni T, Sedliak M, Zhou W, Alen M, Cheng S. Seasonal variation of red blood cell variables in physically inactive men: effects of strength training. Int J Sports Med 2008;29:564-8. http://dx.doi.org/10.1055/s-2007-989320.
52. Morkeberg J, Saltin B, Belhage B, Damsgaard R. Blood profiles in elite cross-country skiers: a 6-year follow-up. Scand J Med Sci Sports 2009;19:198-205. http://dx.doi.org/10.1111/j.1600-0838.2008.00770.x.
53. Banfi G, Tavana R, Freschi M, Lundby C. Reticulocyte profile in top-level alpine skiers during four consecutive competitive seasons. Eur J Appl Physiol 2010;109:561-8. http://dx.doi.org/10.1007/s00421-010-1382-1.
54. Diaz V, Lombardi G, Ricci C, Jacobs RA, Montalvo Z, Lundby C, et al. Reticulocyte and haemoglobin profiles in elite triathletes over four consecutive seasons. Int J Lab Hematol 2011;33:638-44. http://dx.doi.org/10.1111/j.1751-553X.2011.01348.x.
55. Lombardi G, Ricci C, Banfi G. Effect of winter swimming on haematological parameters. Biochem Med 2011;21:71-8. http://dx.doi.org/10.11613/BM.2011.014.
56. Broadbent S. Seasonal changes in haematology, lymphocyte transferrin receptors and intracellular iron in Ironman triathletes and untrained men. Eur J Appl Physiol 2011;111:93-100. http://dx.doi.org/10.1007/s00421-010-1635-z.
57. Suzuki K, Nakaji S, Yamada M, Liu Q, Kurakake S, Okamura N, et al. Impact of a competitive marathon race on systemic cytokine and neutrophil responses. Med Sci Sports Exerc 2003;35:348-55. http://dx.doi.org/10.1249/01.MSS.0000048861.57899.04.
58. Smith JE, Garbutt G, Lopes P, Pedoe DT. Effects of prolonged strenuous exercise (marathon running) on biochemical and haematological markers used in the investigation of patients in the emergency department. Br J Sports Med 2004;38:292-4. http://dx.doi.org/10.1136/bjsm.2002.002873.
59. McCarthy DA, Dale MM. The leucocytosis of exercise. A review and model. Sports Med 1988;6:333-63. http://dx.doi.org/10.2165/00007256-198806060-00002.
60. Lippi G, Maffulli N. Biological influence of physical exercise on hemostasis. Semin Thromb Hemost 2009;35:269-76. http://dx.doi.org/10.1055/s-0029-1222605.
61. Weiss C, Bierhaus A, Kinscherf R, Hack V, Luther T, Nawroth PP, et al. Tissue factor-dependent pathway is not involved in exercise-induced formation of thrombin and fibrin. J Appl Physiol (1985) 2002;92:211-8.
62. von Kanel R, Mills PJ, Fainman C, Dimsdale JE. Effects of psychological stress and psychiatric disorders on blood coagulation and fibrinolysis: a biobehavioral pathway to coronary artery disease? Psychosom Med 2001;63:531-44.
63. Blomback M, Konkle BA, Manco-Johnson MJ, Bremme K, Hellgren M, Kaaja R. Preanalytical conditions that affect coagulation testing, including hormonal status and therapy. J Thromb Haemost 2007;5:855-8. http://dx.doi.org/10.1111/j.1538-7836.2007.02401.x.
64. Naesh O, Hindberg I, Trap-Jensen J, Lund JO. Post-exercise platelet activation--aggregation and release in relation to dynamic exercise. Clin Physiol 1990;10:221-30. http://dx.doi.org/10.1111/j.1475-097X.1990.tb00090.x.
65. Poortmans JR. Exercise and renal function. Sports Med 1984;1:125-53. http://dx.doi.org/10.2165/00007256-198401020-00003.
66. McAllister RM. Adaptations in control of blood flow with training: splanchnic and renal blood flows. Med Sci Sports Exerc 1998;30:375-81. http://dx.doi.org/10.1097/00005768-199803000-00006.
67. Poortmans JR, Vanderstraeten J. Kidney function during exercise in healthy and diseased humans. An update. Sports Med 1994;18:419-37. http://dx.doi.org/10.2165/00007256-199418060-00006.
68. Banfi G, Del Fabbro M. Serum creatinine values in elite athletes competing in 8 different sports: comparison with sedentary people. Clin Chem 2006;52:330-1. http://dx.doi.org/10.1373/clinchem.2005.061390.
69. Lippi G, Banfi G, Luca Salvagno G, Montagnana M, Franchini M, Cesare Guidi G. Comparison of creatinine-based estimations of glomerular filtration rate in endurance athletes at rest. Clin Chem Lab Med 2008;46:235-9. http://dx.doi.org/10.1515/CCLM.2008.039.
70. Lippi G, Banfi G, Salvagno GL, Franchini M, Guidi GC. Glomerular filtration rate in endurance athletes. Clin J Sport Med 2008;18:286-8. http://dx.doi.org/10.1097/JSM.0b013e31817049c5.
71. Mohseni M, Silvers S, McNeil R, Diehl N, Vadeboncoeur T, Taylor W, et al. Prevalence of hyponatremia, renal dysfunction, and other electrolyte abnormalities among runners before and after completing a marathon or half marathon. Sports Health 2011;3:145-51. http://dx.doi.org/10.1177/ 1941738111400561.
72. Mingels A, Jacobs L, Kleijnen V, Wodzig W, Dieijen-Visser M. Cystatin C a marker for renal function after exercise. Int J Sports Med 2009;30:668-71. http://dx.doi.org/10.1055/s-0029-1220733.
73. Soni SS, Pophale R, Ronco C. New biomarkers for acute renal injury. Clin Chem Lab Med 2011;49:1257-63. http://dx.doi.org/10.1515/CCLM.2011.664.
74. Tong Z, Kunnumakkara AB, Wang H, Matsuo Y, Diagaradjane P, Harikumar KB, et al. Neutrophil gelatinase-associated lipocalin: a novel suppressor of invasion and angiogenesis in pancreatic cancer. Cancer Res 2008;68:6100-8. http://dx.doi.org/10.1158/0008-5472.CAN-08-0540.
75. Nachtigall D, Nielsen P, Fischer R, Engelhardt R, Gabbe EE. Iron deficiency in distance runners. A reinvestigation using Fe-labelling and non-invasive liver iron quantification. Int J Sports Med 1996;17:473-9. http://dx.doi.org/10.1055/s-2007-972881.
76. Matter M, Stittfall T, Graves J, Myburgh K, Adams B, Jacobs P, et al. The effect of iron and folate therapy on maximal exercise performance in female marathon runners with iron and folate deficiency. Clin Sci (Lond) 1987;72:415-22.
77. Beard J, Tobin B. Iron status and exercise. Am J Clin Nutr 2000;72:594S-7S.
78. Magnusson B, Hallberg L, Rossander L, Swolin B. Iron metabolism and “sports anemia”. II. A hematological comparison of elite runners and control subjects. Acta Med Scand 1984;216:157-64. http://dx.doi.org/10.1111/j.0954-6820.1984.tb03787.x.
79. Schobersberger W, Tschann M, Hasibeder W, Steidl M, Herold M, Nachbauer W, et al. Consequences of 6 weeks of strength training on red cell O2 transport and iron status. Eur J Appl Physiol Occup Physiol 1990;60:163-8. http://dx.doi.org/10.1007/BF00839152.
80. Rowland TW, Stagg L, Kelleher JF. Iron deficiency in adolescent girls. Are athletes at increased risk? J Adolesc Health 1991;12:22-5. http://dx.doi.org/10.1016/0197-0070(91)90035-K.
81. Spodaryk K. Iron metabolism in boys involved in intensive physical training. Physiol Behav 2002;75:201-6. http://dx.doi.org/10.1016/S0031-9384(01)00640-0.
82. Peeling P. Exercise as a mediator of hepcidin activity in athletes. Eur J Appl Physiol 2010;110:877-83. http://dx.doi.org/10.1007/s00421-010-1594-4.
83. Nemeth E, Tuttle MS, Powelson J, Vaughn MB, Donovan A, Ward DM, et al. Hepcidin regulates cellular iron efflux by binding to ferroportin and inducing its internalization. Science 2004;306:2090-3. http://dx.doi.org/10.1126/science.1104742.
84. Latunde-Dada GO. Iron metabolism in athletes--achieving a gold standard. Eur J Haematol 2012;90:10-5. http://dx.doi.org/10.1111/ejh.12026.
85. Peeling P, Dawson B, Goodman C, Landers G, Wiegerinck ET, Swinkels DW, et al. Training surface and intensity: inflammation, hemolysis, and hepcidin expression. Med Sci Sports Exerc 2009;41:1138-45. http://dx.doi.org/10.1249/MSS.0b013e318192ce58.
86. Peeling P, Dawson B, Goodman C, Landers G, Wiegerinck ET, Swinkels DW, et al. Cumulative effects of consecutive running sessions on hemolysis, inflammation and hepcidin activity. Eur J Appl Physiol 2009;106:51-9. http://dx.doi.org/10.1007/s00421-009-0988-7.
87. Roecker L, Meier-Buttermilch R, Brechtel L, Nemeth E, Ganz T. Iron-regulatory protein hepcidin is increased in female athletes after a marathon. Eur J Appl Physiol 2005;95:569-71. http://dx.doi.org/10.1007/s00421-005-0055-y.
88. Ledue TB, Rifai N. Preanalytic and analytic sources of variations in C-reactive protein measurement: implications for cardiovascular disease risk assessment. Clin Chem 2003;49:1258-71. http://dx.doi.org/10.1373/49.8.1258.
89. Weight LM, Alexander D, Jacobs P. Strenuous exercise: analogous to the acute-phase response? Clin Sci (Lond) 1991;81:677-83.
90. Abramson JL, Vaccarino V. Relationship between physical activity and inflammation among apparently healthy middle-aged and older US adults. Arch Intern Med 2002;162:1286-92. http://dx.doi.org/10.1001/archinte.162. 11.1286.
91. Margeli A, Skenderi K, Tsironi M, Hantzi E, Matalas AL, Vrettou C, et al. Dramatic elevations of interleukin-6 and acute-phase reactants in athletes participating in the ultradistance foot race spartathlon: severe systemic inflammation and lipid and lipoprotein changes in protracted exercise. J Clin Endocrinol Metab 2005;90:3914-8. http://dx.doi.org/10.1210/jc.2004-2346.
92. Papassotiriou I, Alexiou VG, Tsironi M, Skenderi K, Spanos A, Falagas ME. Severe aseptic inflammation caused by long distance running (246 km) does not increase procalcitonin. Eur J Clin Invest 2008;38:276-9. http://dx.doi.org/10.1111/j.1365-2362.2008.01935.x.
93. Knudsen LS, Christensen IJ, Lottenburger T, Svendsen MN, Nielsen HJ, Nielsen L, et al. Pre-analytical and biological variability in circulating interleukin 6 in healthy subjects and patients with rheumatoid arthritis. Biomarkers 2008;13:59-78. http://dx.doi.org/10.1080/13547500701615017.
94. Wei C, El Hindi S, Li J, Fornoni A, Goes N, Sageshima J, et al. Circulating urokinase receptor as a cause of focal segmental glomerulosclerosis. Nat Med 2011;17:952-60. http://dx.doi.org/10.1038/nm.2411.
95. Eugen-Olsen J, Andersen O, Linneberg A, Ladelund S, Hansen TW, Langkilde A, et al. Circulating soluble urokinase plasminogen activator receptor predicts cancer, cardiovascular disease, diabetes and mortality in the general population. J Intern Med 2010;268:296-308. http://dx.doi.org/10.1111/j.1365-2796.2010.02252.x.
96.   Backes Y, van der Sluijs KF, Mackie DP, Tacke F, Koch A, Tenhunen JJ, et al. Usefulness of suPAR as a biological marker in patients with systemic inflammation or infection: a systematic review. Intensive Care Med 2011;38:1418-28. http://dx.doi.org/10.1007/s00134-012-2613-1.
97.   Sanchis-Gomar F, Bonaguri C, Pareja-Galeano H, Gomez-Cabrera MC, Candel J, Vina J, et al. Effects of acute exercise and allopurinol administration on soluble urokinase plasminogen activator receptor (suPAR). Clin Lab 2013;59:207-10.
98.   Viru A. Plasma hormones and physical exercise. Int J Sports Med 1992;13:201-9. http://dx.doi.org/10.1055/s-2007-1021254.
99.   Haring R, Ittermann T, Volzke H, Krebs A, Zygmunt M, Felix SB, et al. Prevalence, incidence and risk factors of testosterone deficiency in a population-based cohort of men: results from the study of health in Pomerania. Aging Male 2010;13:247-57. http://dx.doi.org/10.3109/13685538.2010.487553.
100. Taipale RS, Hakkinen K. Acute hormonal and force responses to combined strength and endurance loadings in men and women: the “order effect”. PLoS One 2013;8:e55051. http://dx.doi.org/10.1371/journal.pone.0055051.