Abstract
ckground: Endurance running training induces several hematological changes that increase the capture, transport and delivery of the oxygen to the exercising muscles. Objective: This study aimed to verify how a dramatic increase in running volume induced new alterations in several hematological indicators in previously trained endurance runners. Methods: Three subjects (PL: 26 years, 169,5 cm; HP, 27 years, 167,9 cm; MC, 27 years, 180,7 cm) running 10-12 km/day, increased their running volume to prepare the participation in a 100-km ultra-marathon. New training program included 10-12 training sessions per week, totalizing 200-260 km. Average daily running volume was 35.8±6.2 km. The parameters analyzed were: hemoglobin, erythrocytes, hematocrit, mean cell volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), leukocytes, neutrophils, eosinophils, lymphocytes, and monocytes. Results: Erythrocyte count, hemoglobin, and hematocrit decreased 6.5%, 5.1% and 6.7%, respectively for the average of the three runners. Leukocytes, neutrophils, eosinophils, lymphocytes, and monocytes showed different alterations among participants with all the values remaining within normal reference values. Conclusion: Well-trained runners show further hematological alterations when training volume is dramatically increased, which can be seen as the specific adaptation to the new training level. It seems that hemogram is more sensitive than leucogram to the increase in running volume. Keywords: endurance; training; running; hemogram; leucogram. Resumen. Antecedentes: El entrenamiento de resistencia aeróbica induce varios cambios hematológicos que aumentan la captura, el transporte y la entrega del oxígeno a los músculos en ejercicio. Objetivo: El objetivo de este estudio fue verificar cómo un aumento dramático en el volumen de corrida indujo nuevas alteraciones en varios indicadores hematológicos en corredores previamente entrenados. Métodos: Tres sujetos (PL: 26 años, 169,5 cm, HP, 27 años, 167,9 cm, MC, 27 años, 180,7 cm) corriendo 10-12 km / día, aumentaron su volumen de carrera para preparar la participación en un ultra
de este estudio fue verificar cómo un aumento dramático en el volumen de corrida indujo nuevas alteraciones en varios indicadores hematológicos en corredores previamente entrenados. Métodos: Tres sujetos (PL: 26 años, 169,5 cm, HP, 27 años, 167,9 cm, MC, 27 años, 180,7 cm) corriendo 10-12 km / día, aumentaron su volumen de carrera para preparar la participación en un ultra maratón de 100 km. El nuevo programa de entrenamiento incluyó 10-12 sesiones de entrenamiento por semana, totalizando 200-260 km. El promedio diario de volumen de carrera fue de 35,8 ± 6,2 km. Los parámetros analizados fueron hemoglobina, eritrocitos, hematocrito, volumen celular medio (MCV), hemoglobina corpuscular media (MCH), concentración media de hemoglobina corpuscular (MCHC), leucocitos, neutrófilos, eosinofilos, linfocitos y monocitos. Resultados: El recuento de eritrocitos, la hemoglobina y el hematocrito disminuyeron 6,5%, 5,1% y 6,7%, respectivamente, para el promedio de los tres corredores. Los leucocitos, neutrófilos, eosinofilos, linfocitos y monocitos mostraron diferentes alteraciones entre los participantes con todos los valores restando dentro de los valores normales de referencia. Conclusión: Corredores bien entrenados muestran alteraciones hematológicas adicionales cuando el volumen de entrenamiento aumenta drásticamente, lo que puede ser visto como la adaptación específica al nuevo nivel de entrenamiento. Parece que el hemograma es más sensible que el leucograma al aumento en el volumen de entrenamiento de carrera. Palabras clave: resistencia aerobia; entrenamiento; carrera; hemograma; leucograma. Introduction It is well known that long-distance running training induces several hematological adaptations according to the intensity, volume and frequency of training loads. Training loads are dependent on the subjects’ training level and their nutritional status (Ohtani et al., 2001). It seems that chronic endurance training significantly reduced hemoglobin, mean corpuscular hemoglobin (MCHC) and increased lymphocyte count (Broadbent, 2011). Available cross-sectional and longitudinal studies indicate that blood of endurance athletes is more dilute and this has been attributed to blood volume expansion, particularly plasma volume as a result of chronic training (El-Sayed et al., 2005). It seems that exercise-induced hemolysis in counterbalanced by elevated serum erythropoietin concentration and reticulocyte count with no impact on total erythrocyte volume and hemoglobin mass (Robach et al., 2012). So, hemodilution is
of endurance athletes is more dilute and this has been attributed to blood volume expansion, particularly plasma volume as a result of chronic training (El-Sayed et al., 2005). It seems that exercise-induced hemolysis in counterbalanced by elevated serum erythropoietin concentration and reticulocyte count with no impact on total erythrocyte volume and hemoglobin mass (Robach et al., 2012). So, hemodilution is the main hematological feature that characterizes endurance runners. This adaptation facilitates muscle microcirculation and oxygen delivery to exercising muscles. Plasma expansion is also related to thermoregulation because metabolic heat production consequent to muscle contraction creates an internal heat load proportional to exercise intensity (Cheuvront & Haymes, 2001) which must be dissipated manly through sweating. Even in intermittent sport athletes, e.g. soccer players, hemoglobin and hematocrit mean values decrease throughout the season (Malcovati et al. 2003). While hematocrit rises immediately after marathon (Kratz et al., 2006) due to hemoconcentration significant declines in red blood cell, hemoglobin and hematocrit were detected two days and nine days after a 24 h ultramarathon race (Wu et al., 2004). It seems that the 2019, Retos, 35, 117-120 © Copyright: Federación Española de Asociaciones de Docentes de Educación Física (FEADEF) ISSN: Edición impresa: 1579-1726. Edición Web: 1988-2041 (www.retos.org) continuity of training and/or exertion induces a continuous accumulation of total body water (Knechtle et al., 2008) which can decrease hemoconcentration and affecting some hematological parameters. In well-trained athletes increasing training intensity during the course of the season decreases hemoglobin and hematocrit (Banfi et al., 2011). The results obtained from the manipulation of training volume are not so clear and depend on the subjects’ training status. While in sedentary individuals, hematological changes are easily achieved, in elite athletes with several years of hard training, long-term endurance training does not largely alter hematological status (Rietjens et al., 2002). Therefore, this study sought to verify if a dramatic increasing in running volume during a training period of 17 weeks induced hematological alterations in well trained endurance runners. Methods Participants Three subjects well trained for endurance events voluntarily participated in this study. Participant’s age and height were as follows: PL (26
not largely alter hematological status (Rietjens et al., 2002). Therefore, this study sought to verify if a dramatic increasing in running volume during a training period of 17 weeks induced hematological alterations in well trained endurance runners. Methods Participants Three subjects well trained for endurance events voluntarily participated in this study. Participant’s age and height were as follows: PL (26 years; 169.5 cm), HP (27 years; 167.9 cm), and MC (27 years; 180.7 cm). All subjects were non-smokers and regularly drunk alcoholic beverages (beer and wine) during the meals. This study was conducted in accordance with the policy statement of the Declaration of Helsinki, adopted by the World Medical Association, regarding the ethical principles for medical research involving human subjects and approved by the Scientific Council of the Faculty of Sport of the University of Porto, Portugal. The participants were informed of the risks associated with their participation before giving voluntary written consent. All subjects participated regularly in road running, orientation, and cross- country races. Medical screening showed no health constraints in the beginning of the study. During the last three years prior to the study they usually run 10-12 km daily with one day of complete rest. Subject HP was prone to gastrointestinal distress during exertion and reported Fecha recepción: 05-12-17. Fecha de aceptación: 10-03-18 José Augusto Rodrigues dos Santos jaugusto@fade.up.pt
Retos, número 35, 2019 (1º semestre)- 118 - episodic gastrointestinal complaints during normal running workouts. He was medically supervised. Abal et al. (2013) stated a significant correlation between running training volume and the tendency for lower limb injury. However, training program was accomplished by all the participants without major and impeditive injuries. Training protocol With the objective to compete in an ultramarathon (100 km), subjects realized 10-12 training sessions per week, totalizing 200-260 km during 17 weeks. Average daily running volume was 35.8±6.2 km. Running training intensity was controlled by thoracic frequency counter. Low to moderate running pace was selected (130-160 beats per minute corresponding to 70-85% maximum heart rate) for continuous uniform running with 2 fartlek sessions per week (10 accelerations of 300m) inducing heart rates close to the maximum. Every four weeks a perfor- mance test (30 km) was conducted. Nutrition Nutrition status was not controlled but participants were requested to maintain their usual dietary diversity increasing carbohydrate intake. Although this general nutritional counseling mean body mass was markedly reduced in all subjects during the period of the study. Subjects did not take any mineral or vitamin supplementation during the study. During workouts, isotonic beverages (Isostar®) were ingested for hydration and carbohydrate supplementation. Body mass Body mass measurement was made by the same technician in the two moments of evaluation and with the same device (Seca Alpha Model 770 Digital Weighing Scales, UK). Hematology Hemogram and Leucogram were assessed with the Automated Hematology Analyzer S890 Coulter Counter. All blood collections were made at 9 A.M. after an overnight fasting (12 hours after the last meal), and after a 24 hours of compulsory rest period following the last workout to attenuate the effects of hemodynamic variations and acute hemodilution induced by prior workout (Sawka et al., 2000). Venous blood samples (5 ml) were drawn from antecubital vein using standard venotomy techniques with the subjects in the sitting position. Blood samples were collected into vacutainers containing ethylenediaminetetraacetic acid (EDTA) and processed within 6 h. Statistical analysis Alterations are expressed as the percentage of variation (Ä). Results The results presented in
induced by prior workout (Sawka et al., 2000). Venous blood samples (5 ml) were drawn from antecubital vein using standard venotomy techniques with the subjects in the sitting position. Blood samples were collected into vacutainers containing ethylenediaminetetraacetic acid (EDTA) and processed within 6 h. Statistical analysis Alterations are expressed as the percentage of variation (Ä). Results The results presented in Table 1 express the reduction in body mass and in all hemogram parameters. Leukocyte and leukocyte subsets changed differently among subjects with subject HP showing the largest alterations. Discussion Training volume is one of the best predictors for 100-km race performance (Knechtle et al., 2010). We hypothesize that even in well- trained endurance runners a marked increasing of running volume can induce significant hematological changes. Usually the stress imposed by long lasting endurance exercise causes an initial plasma volume contraction due to fluid loss which is followed by plasma volume expansion. Training regularity can maintain this expansion which is reversible 3 to 5 days after cessation of training (Shaskey & Green, 2000). Endurance training reduces blood viscosity by expanding plasma volume (Santhiago et al., 2009) improving VO2peak and exercise per- formance (Berger et al., 2006; El-Sayed et al., 2009). Reduction in blood viscosity improves the microcirculatory blood flow and oxygen delivery to the tissues (El-Sayed et al., 2005). In this study hemoglobin (Hb), erythrocyte count and hematocrit decreased in all subjects which can be related to training-induced expansion of plasma volume (Sawka et al., 2000; El-Sayed et al., 2005) that promoted hemodilution (Brun et al., 2010). Albeit acute plasma volume expansion can be seen two days and nine days after long lasting exertion (Wu et al., 2004) only training continuity can stabilize plasma expansion and the subsequent hematological changes. Our results were partly corroborated by Dubois et al. (2017) with rugby players during a season. Mean Hb concentration was reduced 6.6% what is corroborated by Rietjens et al. (2002). Our values are identical to trained cyclists and lower than sedentary controls (Smith et al., 1999). In different sport disciplines the decline of Hb ranges from 3 to 8% during the
results were partly corroborated by Dubois et al. (2017) with rugby players during a season. Mean Hb concentration was reduced 6.6% what is corroborated by Rietjens et al. (2002). Our values are identical to trained cyclists and lower than sedentary controls (Smith et al., 1999). In different sport disciplines the decline of Hb ranges from 3 to 8% during the competition season (Banfi et al., 2011). Similar decreases were verified in this study. Erythrocyte count decreased markedly in two subjects confirming the data of Rietjens et al. (2005) with one subject slightly exceeding the lower limit of normal laboratory references (4.4 to 10 12 /L) what conjugated with the low Hb concentration could be an index of anemia. As the subject improved his running performance in all periodical 30- km testing we cannot see these changes as pathological. Erythrocyte count was reduced what is in line with the study realized with elite triathletes (Rietjens et al., 2002). Reduction of red globular mass by exercise is normally related to the continuous vigorous training (Brun et al., 2010), although Broadbent (2011) did not find significant different between triathletes and untrained subjects during a competitive season. Confirming our results Kehat et al. (2003) verified a significant decrease in erythrocyte count after 2 years of training in Special Forces trainees. It seems that endurance trained subjects tend to have lower red globular mass in relation to sedentary people. After the study’s period all subjects decreased their hematocrit. Our results are corroborated by other endurance studies (El-Sayed et al., 2005; Ostojic & Ahmetovic et al., 2009). Contrary, a 20-week strength training program elevated the hematocrit (Hu et al., 2008) which highlights the importance of the exercise mode for hematological adaptations. While endurance training decreases hematocrit high intensity resistance training had the contrary effect (Santhiago et al., 2009). The erythrocytes’ indices, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) seem not to be significantly modified by strenuous exertion (Banfi et al., 2004) what is in accordance with the slight alterations verified in this study. Some authors stated that endurance training
high intensity resistance training had the contrary effect (Santhiago et al., 2009). The erythrocytes’ indices, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) seem not to be significantly modified by strenuous exertion (Banfi et al., 2004) what is in accordance with the slight alterations verified in this study. Some authors stated that endurance training decreases MCV (Santhiago et al., 2009; Rietjens et al., 2005) while high–intensity training increases MCV (Mujika et al., 1998). Our results showed the regularity of the different erythrocytes’ indices. MCHC remained stable after the training period what conflicts with the results of other studies which verified opposite alterations, i.e. MCHC decreased (Broadbent, 2011) and MCHC increased (Mujika et al., 1998). Training intensity or the previous running experience can be reasons for this discrepancy. MCH did not experiment significant changes in our study conflicting with the significant increase verified by Mujika et al. (1998) after hard swimming training. Our basal values are similar to the cyclists studied by Smith et al. (1999). Erythrocyte count and hemoglobin reductions combined with the stability of the mean corpuscular volume are an index of hemolysis and Tabl e I. Weight and hematological alterations induced by training Variables P.L. H.P. M.C. M1 M2 ? (%) M1 M2 ? (%) M1 M2 ? (%) Body mass (kg) 68.5 66.5 - 2.9 69.3 65.5 - 5.4 80.0 75.5 - 5.6 Hemoglobin (g/dL) 14.3 14.0 - 2.1 14.4 13.2 - 8.3 16.4 14.9 - 9.1 Erythrocytes (x10 12 /L) 4.72 4.69 - 0.6 4.76 4.32 - 9.2 4.95 4.67 - 5.6 Hematocrit (%) 42.4 40.4 - 2.0 42.3 38.2 - 4.1 46.1 43.9 - 2.2 M.C.V.(fl) 8686 8988 9394 M.C.H. (pg) 30 30 30 31 33 32 M.C.H.C. (g/dL) 35 35 34 35 36 34 Leukocytes (x10 9 /L) 4.6 5.1 10.9 8.3 7.8 - 6.0 4.5 4.0 -11.1 Neutrophils (%) 50 48 - 2.0 55 39 - 16 49.5 47.5 - 2.0 Eosinophils (%) 3 1 - 2.0 4 4.5 0.5 2 5 3.0 Lymphocytes (%) 43 49 6.0 35 50.5 15.5 45.5 43.5 - 2.0 Monocytes (%)
35 35 34 35 36 34 Leukocytes (x10 9 /L) 4.6 5.1 10.9 8.3 7.8 - 6.0 4.5 4.0 -11.1 Neutrophils (%) 50 48 - 2.0 55 39 - 16 49.5 47.5 - 2.0 Eosinophils (%) 3 1 - 2.0 4 4.5 0.5 2 5 3.0 Lymphocytes (%) 43 49 6.0 35 50.5 15.5 45.5 43.5 - 2.0 Monocytes (%) 4 2 - 2.0 6 6 0 3 4.0 1.0
- 119 -Retos, número 35, 2019 (1º semestre) compensatory reticulosis (Schumacher et al., 2010) provoked by the traumatic nature of running (Telford et al., 2003) that induces intravascular hemolysis, intramuscular destruction and osmotic stress. In our study it seems that red blood cell destruction was not completely compensated by reticulosis. It is generally accepted that at rest highly trained individuals present lower leukocyte counts than non-trained (Pedersen, 1991), however the results are conflicting (Broadbent, 2011). Watson et al. (1988) found no differences between trained and non-trained subjects in relation to the leukocyte profile, while Nieman et al. (1995) verified decreased leukocyte and neutrophil counts in marathon runners when compared to sedentary. In this study, although the values remained within the range of clinical normality, leukocyte concentration changed differently among subjects. It seems that the dramatic increase in the volume of training tends to reduce resting leukocyte count (Lehmam et al., 1997) what was seen in two subjects. The significant increasing (10.9%) verified in subject PL highlights the variability between subjects for leukocyte response to long lasting running training. Exhaustive endurance training attenuates neutrophils activity (Gleeson, 2007) while chronic moderate exercise improves neutrophil functions (Syu et al., 2012). It seems that intensive training is deleterious for some immune functions mainly neutrophil respiratory burst (Pyne et al., 1995). In this study all subjects decrease neutrophil percentage with subject HP showing the greater decreasing (almost 30%) eventually related to their gastric constraints and subsequent inflammatory processes (Lamprecht & Frauwallner, 2012). When exercise is exhaustive neutrophils can be mobilized into the circulation and migrate to the muscle tissue several hours after exertion (Kanda et al., 2013). Recurrent long lasting endurance training can elicit a chronic framework characterized by low basal neutrophil values. Our results are corroborated by Morgado et al. (2012) who found reduced number of neutrophils in swimmers undergoing long-term intensive training. Lymphocytosis occurs during and immediately after exercise under a variety of conditions but return to basal levels within 24 hours (Gleeson & Walsh, 2012). Resting lymphocyte number is usually normal in athletes, although low lymphocyte counts have been reported in marathon
are corroborated by Morgado et al. (2012) who found reduced number of neutrophils in swimmers undergoing long-term intensive training. Lymphocytosis occurs during and immediately after exercise under a variety of conditions but return to basal levels within 24 hours (Gleeson & Walsh, 2012). Resting lymphocyte number is usually normal in athletes, although low lymphocyte counts have been reported in marathon runners (Green et al., 1981; Kratz et al., 2002). All the subjects in this study showed normal lymphocyte values (higher than 1500/ mm3) in the two moments of evaluation. After the training period subjects PL and HP increased sharply their lymphocyte count and percentage while subject MC reduced both indicators. This variability is corroborated by other studies (Broadbent, 2011; Rodrigues dos San- tos et al., 2006) and can be related to the individual response to the accumulation of the physical loads. Markers of immune function in athletes at least 24 hours after the last exercise bout are generally not different from those of their sedentary counterparts, except when athletes are engaged in periods of intensified training (Gleeson & Walsh, 2012). Our results are similar to those found by Gleeson et al. (2011) in athletes of different endurance sports but slightly higher than the values found by Kratz et al. (2002) in marathoners. In subject HP, the combination of high leukocyte counts, marked neutrophil reduction and marked lymphocyte increasing are an index of hyperresponsiveness of his immune system eventually related to their gastrointestinal complaints. Eosinophils counts and percentages changed different in the three subjects but remained within normal reference values. The individual variations could be related to exercise-induced bronchoconstriction associated to airway inflammation and subsequent recovery. Endurance athletes have high prevalence of bronchial abnormalities caused, among other reasons, by hyperventilation in cold environments that can indu- ce inflammation of upper respiratory tract (Helenius et al., 2005). The inflammatory response may induce increases in the percentage of eosinophils, a situation that occurred in 2 subjects of this study which is corroborated by Vergès et al. (2005). Circulating monocytes increase significantly after exercise (Lombardi et al., 2011) but return to basal values 24
cold environments that can indu- ce inflammation of upper respiratory tract (Helenius et al., 2005). The inflammatory response may induce increases in the percentage of eosinophils, a situation that occurred in 2 subjects of this study which is corroborated by Vergès et al. (2005). Circulating monocytes increase significantly after exercise (Lombardi et al., 2011) but return to basal values 24 hours later (Starkie et al., 2001) eventually due to remarginalization or tissue recruitment. The changes verified in this study, all within normal reference values, are partially confirmed by the study of Fallon et al. (1999) but conflict with the results of Shimizu et al. (2011) who found no alterations in basal monocyte counts of elderly subjects submitted to resistance training. The discrepancies can be related to the training hardness in this study. Relative high monocyte values seen in subjects HP and MC can be an index of increased muscle inflammation characteristic of ultra-endurance runners (Mastaloudis et al., 2006). Conclusion This study concluded that endurance trained subjects adapt to a dramatic increase in running volume reducing red blood cell mass, hemoglobin and hematocrit without significant changes in MCV, MCH and MCHC. Leucocytes and leukocyte subsets changed differently among subjects but always within laboratory range. High running volume can induce gastrointestinal constraints which are reflected in the behavior of some leukocyte subsets. References Abal, F.R., Soidán, J.L.G. & Arufe-Giráldez, V. (2013). Factores de riesgo de lesión en atletas. Retos, 23, 70-74. Banfi, G., Lundby, C., Robach, P. & Lippi, G. (2011). Seasonal variations of haematological parameters in athletes. Eur J Appl Physiol, 111, 9-16. Banfi, G., Roi, G.S., Dolci, A. & Susta, D. (2004). Behaviour of hematological parameters in athletes performing marathons and ultramarathons in altitude («skyrunners»). Clin Lab Haematol, 26, 373-377. Berger, N.J., Campbell, I.T., Wilkerson, D.P. & Jones, A.M. (2006). Influence pf acute plasma volume expansion on VO2 kinetics, VO2peak, and performance during high-intensity cycle exercise. J Appl Physiol, 101, 707-714. Broadbent, S, (2011). Seasonal changes in haematology, lymphocyte transferring receptors and intracellular iron in Ironman triathletes and untrained men. Eur J Appl Physiol, 111, 93 -100. Brun, J.F., Varlet-Marie,
Description
The study investigates hematological changes in trained runners due to increased running volume.