Next Article in Journal
Plant–Microbe Interaction
Previous Article in Journal
Microbial Characteristics and Safety of Dairy Manure ComPosting for Reuse as Dairy Bedding
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Relation between Exercise Performance and Blood Storage Condition and Storage Time in Autologous Blood Doping

Molecular and Cellular Sports Medicine, German Sport University Cologne, 50677 Cologne, Germany
*
Author to whom correspondence should be addressed.
Biology 2021, 10(1), 14; https://doi.org/10.3390/biology10010014
Submission received: 15 November 2020 / Revised: 21 December 2020 / Accepted: 25 December 2020 / Published: 29 December 2020

Abstract

:

Simple Summary

Autologous blood doping (ABD) refers to sampling, storage, and re-infusion of one’s own blood to improve circulating red blood cell (RBC) mass and thus the oxygen transport and finally the performance capacity. This illegal technique employed by some athletes is still difficult to detect. Hence knowledge of the main effects of ABD is needed to develop valid detection methods. Performance enhancement related to ABD seems to be well documented in the literature, but applied study designs might affect the outcome that was analyzed herein. The majority of recent studies investigated the effect of cold blood storage at 4 °C, and only few studies focused on cryopreservation, although it might be suspected that cryopreservation is above all applied in sport. The storage duration—the time between blood sampling and re-infusion—varied in the reported literature. In most studies, storage duration might be too short to fully restore the RBC mass. It is thus concluded that most reported studies did not display common practice and that the reported performance outcome might be affected by these two variables. Thus, knowledge of the real effects of ABD, as applied in sport, on performance and associated parameters are needed to develop reliable detection techniques.

Abstract

Professional athletes are expected to continuously improve their performance, and some might also use illegal methods—e.g., autologous blood doping (ABD)—to achieve improvements. This article applies a systematic literature review to investigate differences in the ABD methods and the related performance and blood parameters owing to different storage conditions—cryopreservation (CP) and cold storage (CS)—and different storage durations. The literature research resulted in 34 original articles. The majority of currently published studies employed CS during ABD. This contrasts to the applied storage technique in professional sports, which was mainly reported to be CP. The second outcome of the literature research revealed large differences in the storage durations applied, which were in the range of one day to 17 weeks between blood sampling and re-infusion, which might affect recovery of the red blood cell mass and thus performance outcome related to ABD. Data revealed that performance parameters were positively affected by ABD when a minimal storage duration of four weeks was adhered. This article identified a need for further research that reflect common ABD practice and its real effects on performance parameters, but also on related blood parameters in order to develop valid and reliable ABD detection methods.

1. Introduction

International world class athletes are expected to continuously improve their performances [1,2] and some athletes not only use legal but also illegal methods to achieve this improvement [2,3]. Autologous blood doping (ABD) appears to be a widely applied illegal method to enhance an athlete’s performance [4,5]. The reason why ABD represents a preferred method might be due to the finding that the muscular oxygen (O2) supplying system is a major limiting factor in endurance sports [6] and ABD is able to increase this system without being detectable so far [7,8]. This assumption is further supported by the recent disclosures and the ongoing doping investigation and trial in Germany referred to as “Operation Aderlass” [9,10]. However, since doping does not only harm the sport’s reputation [11], but also possibly the athlete’s health [12,13], it is important to develop a reliable and valid ABD detection method. This systematic review aims to analyze published protocols of applied ABD techniques and the related effects on tested performance parameters in order to evaluate the effectiveness of the methods applied, especially related to changes of the in vivo red blood cell (RBC) system, and to compare the applied methods with actual doping practice. This knowledge will be needed to assess the real effects of published ABD-related protocols in order to understand the related changes in the RBC system necessary for the development of ABD detection methods.
The ABD procedure consists of three major steps: (1) the blood sampling from a subject, (2) the processing and storage of the blood or blood components, and (3) the re-transfusion of whole blood or a red blood cell (RBC) concentrate to the initial donor [4]. Each of these steps can be implemented with some variations, which in turn might affect the effect size of ABD [4]. First, the donated blood volume (BV) can vary [12]. Second, two different storage techniques, cryopreservation (CP) or cold storage (CS), are applied [14]. Thereby, CP refers to blood storage between −65–−140 °C, while CS refers to blood storage at 4 °C, which is equivalent to refrigerator level [14,15]. The storage techniques will be explained in more detail in Section 3.1, when they are discussed. The storage duration might differ between the storage techniques since CS stored blood is durable for 35–42 days, while CP allows a blood storage for up to ten years [12,16].
The blood preparation and storage methods of the blood have not been compared so far. This appears to be a research gap, because the restoration of RBC mass after sampling is an important factor for the effect size of ABD. In addition to that, the storage technique might influence the quality of the re-infused RBC. It is widely agreed that an increase in RBC and a corresponding increase of the hemoglobin mass (Hb) is the major determinant of ABD-related performance enhancements [3,12]. ABD might affect RBC structure and/or function, which might affect exercise performance [17,18], but the precise mechanisms related to the different ABD methods remain to be investigated Third, according to current literature, the amount of re-infused blood after storage varies between 135 and >900 mL, but a possible dose response relation of re-transfused blood and performance parameters was not described so far [19,20].
The aim of this review was to analyze and compare the current literature regarding reported differences in the storage conditions and the storage duration applied during ABD and to assess the provided changes in exercise performance in relation to the study design. This review also aimed to direct the focus on RBC changes caused by the ABD techniques. This information may provide new starting points for anti-doping advocates in the development of ABD detection techniques.

2. Method

A systematic search protocol was constructed that followed the PRISMA guidelines for systematic reviews to ensure the reproducibility of this systematic literature search [21]. This procedure is also recommended by the MDPI [22]. The research process is presented in a flow diagram (Figure 1) inspired by the PRISMA 2009 Flow-Diagram [21]. However, since no meta-analysis was conducted, the final step of the PRISMA 2009 Flow Diagram “Studies included in quantitative synthesis” was not carried out.
The primary aim, and thus end point, of this review was to evaluate described effects of blood re-transfusion on exercise performance with a special focus on the described storage technique and storage duration and to relate these changes to possible changes in the red blood cell system.
To select articles, that are eligible for the reviewing process, a full text search was conducted. Applied keywords included “autologous blood doping” and “autologous blood transfusion” combined with either “sport”, “exercise”, or “performance”—using the fixed Boolean operators of each database. The used databases included PubMed, BioMedsearch, Spolit, Web of Science, EBSCOhost, and ProQuest. The inclusion criteria for articles of these databases were: (1) articles in peer reviewed journals, (2) the reference to a sport context, (3) articles investigating blood parameters and/or exercise performance, and (4) the accessibility of the full text. No restrictions concerning the publication dates were made. Articles that fulfilled the inclusion criteria in title and abstract were taken into the record. The first step in the research process led to n = 588 articles. Additionally, a forward and a backward search was conducted for the identified articles. The search engine Google Scholar (scholar.google.com) was used for these searches. The forward backward search resulted in additional n = 27 articles, thus a total amount of n = 615 articles was identified for the screening process. During the screening process, n = 527 articles were removed as they did not meet the review’s criteria. The screening resulted in n = 88 articles for further research. After removing duplicates, a full text examination of the remaining n = 48 articles was conducted to identify the articles qualified for the qualitative analysis. During this step, review articles were removed too, since they do not present primary data (they were included in the search as they are part of the literature and are eligible sources to identify applicable articles). The final search process resulted in n = 34 articles.
The analysis of the selected articles focused on two major aspects. First, the blood storage technique applied (CS or CP) were described and compared regarding possible differing effects of CS and CP on changes of performance and related blood parameters. Second, the time interval between blood donation and re-infusion was analyzed. The effect of improved performance after re-transfusion of stored blood relates to the restoration of initial RBC mass and the additional benefit of extra blood volume after the re-transfusion. The articles were analyzed whether or not a full recovery of RBCs might be reasonable, the minimal period between donation and re-infusion to gain an effect on exercise performance and if the length of the period affects the ABD outcome.

3. Results and Discussion

ABD is applied in order to increase RBC mass and thus oxygen transport capacity of the blood and to improve exercise performance [23]. ABD not only increases oxygen delivery to the working muscle but also increases the heat tolerance of the athletes [24]. The International Olympic Committee (IOC) banned blood boosting after the 1984 Olympics [25]. Flow cytometry methods for membrane surface double population of antigens may reveal the homologous blood transfusion approach [26,27,28] but autologous blood transfusion is not detected by this method. Thus, new approaches are designed as indirect markers for blood doping, including total Hb mass measurements, or to test for the excretion of metabolites of bag plasticizers in the urine. Another attempt to detect autologous transfusions is the Athlete Biological Passport (ABP) [29,30] which contains the longitudinal monitoring of biologic measures to identify patterns that might be related to ABD and the evaluation of such abnormal patterns by a panel of experts. These parameters might be affected by the storage duration and storage technique via an effect on RBC. Parameters include RBC count, Hb concentration, hematocrit, mean cellular Hb concentration, mean cellular volume, and the reticulocyte percentage [31,32]. Further, OFF-Hr score ([Hb]—60√ Ret%, normal range: 85–95 [7]) and abnormal blood profile score (ABPS)—which are calculated parameters and are also mainly dependent on RBC related parameters—are also monitored in the ABP [33,34]. This strategy might involve several drawbacks, including differences in threshold values between the different sports associations and the difficult interpretation of hematological parameters because of wide inter-individual differences [35]. Recent data suggest that the RBC function itself might be affected by the ABD process and that the measurements of certain RBC parameters, for example RBC deformability, might in the future provide a promising attempt to detect ABD [17,36]. Still, valid detection methods are unavailable at present, but might benefit from the knowledge on the real effects of performance improvements after ABD and the relation to changes in RBC or Hb concentration.
As mentioned earlier, ABD is capable of improving the muscular O2 supply system and thus endurance exercise performance. Several studies analyzed within this review reported either improvements in the VO2max or VO2peak, or augmentation of the time to exhaustion test (TTE) or the time trial test (TT). VO2max refers to the maximum possible O2 availability (VO2) for the working muscles. VO2 peak is provided if the monitored oxygen uptake values do not flatten during the exercise test but still increase at time of termination of the exercise test [37,38]. Thus, both tests are considered to be the most adequate to examine a subject’s endurance capacity [37,39]. Because VO2max and VO2peak are often used incorrectly as synonyms [40], this review will not differentiate between theses parameters. The TTE measures the time a subject is able to perform a standardized exercise protocol [41]. The TT quantifies the time a subject needs to finish a standardized task, or the standardized work a subject is able to complete within a fixed time frame [42]. The findings of improvements in endurance exercise due to ABD were in line with the current literature [3,12,19].
The wide range of exercise improvements is probably related to differences in the implied ABD method. Different storage technique and varying storage durations appear to be a moderator to the ABD outcome. Therefore, the following section aims to outline differences in the applied ABD—concerning storage duration and storage technique—and how these affect performance and performance related blood parameters. Therefore, Section 3.1 and Section 3.2 each discuss a part of the ABD method. To gain an optimal understanding, Table 1 serves as an overview of the applied methods and important parameters of the selected articles.

3.1. Blood Storage Techniques

The performed literature analysis suggested two different storage techniques applied during ABD: CP and CS.
ABD involves sampling of 1–4 units of blood (1 unit corresponds to 450 mL blood) 8–12 weeks before competition to allow recovery of the RBC mass back to pre-donation level. The blood is centrifuged, the plasma is usually transferred back to the donor or discarded, and the RBC are stored and re-infused into the donor/athlete 1–7 days before a competition [12]. During CS, RBC were stored in the storage solution SAGM (saline, adenine, glucose, mannitol) at 4 °C, but several published articles suggest that the quality of RBC decreases during storage at 4 °C and that re-infusion of long term stored RBC might be deleterious [75,76]. These deleterious effects are reduced when RBC are cryopreserved [36]. During CP, blood is sampled in common blood bags and anticoagulated using CPDA-1 solution (citrate, phosphate, dextrose, and adenine). The blood bags are automatically processed to separate the RBC. Glycerol is added as cryoprotectant [15,77] and the RBC are either fast frozen (>100 °C/min) and stored below −140 °C or slowly frozen (~1–3 °C/min) and stored between −65 and −80 °C [15,77]. The hypothermia of the CP stops the aging of RBC and thereby prevents the maturity of the cells [36], while the 4 °C of CS only slows the aging but does not prevent the cells death [78,79]. Cryopreserved RBC are thawed when needed by an automated cell processor device [12]. Differences between CS and CP include the allowed storage time and the occurrence of the so-called storage lesions [12]. Maximum storage time of CS ranges between 35 and 42 days, while cryopreserved RBC are allowed to be stored up to 10 years [12,14]. Further aspects of the storage durations will be addressed in Section 3.2. Blood storage is associated with the loss of RBC. According to recent literature, the RBC loss in CS is about 6% per week, while the loss of RBC during CP is stated to be about 15% in total due to the processing for the CP storage [14].
From the 34 selected articles, 11 studies used CS while 15 articles used CP, another three articles used both techniques and five articles did not mention their storage technique. Improved performance parameters and/or increased associated blood parameters were presented by nine out of 11 (9/11) CS studies, 14/15 CP studies, and 2/3 CS+CP studies. Thus, it seems plausible that improvements of the performance might be achieved by both storage techniques [20,48,53]. It was not possible to argue whether there is a clear detectable relation of the performance increases and a specific storage technique because the selected studies showed high variations in their study designs. Only Celsing and co-workers [49], Lamberti and colleagues [57], and Mørkeberg and associates [16] applied both storage techniques at the same time. But the study by Celsing et al. [49] mixed both storage techniques within one experiment and thus a comparison between the techniques was not possible. Furthermore, Lamberti and co-workers did not differentiate between CP and CS in their results and did not present any data to compare the storage techniques. In contrast, Mørkeberg and colleagues differentiated between Hb level changes in CP and CS. The authors detected a 3.6% increase in Hb content after re-infusion of blood stored under CS conditions and an increase in Hb level of 6.5% after the re-infusion of blood stored under CP conditions (both groups were re-infused with “all three bags” [16] (p. 287). This might suggest a higher increase in Hb concentration by CP. However, the study design implemented a time frame of 4 weeks between blood sampling and re-infusion for the CS group and a period of 10 weeks for the CP group. Because this difference might affect the recovery of RBC amount and Hb mass in vivo, the results were not suitable to compare both storage techniques.
The data suggested that possible differences between CS and CP in performance and related blood parameters appeared to be less understood but relevant because the storage condition and the known quality changes potentially affected the results described. Further, the quality of the stored RBC was affected by so called storage lesion, which differs between CS and CP. The precise findings of storage lesions will not be addressed in this review and were described in detail elsewhere [80,81]. However, some aspects will be described herein. RBC lose their deformability, an important parameter to ensure nutrient and oxygen supply in the microcirculation, during CS [82], while RBC deformability of cryopreserved RBC appears not to be negatively affected [36]. The decrease in RBC deformability in CS might be associated to RBC senescence, which includes not only a reduction in cell volume, externalization of phosphatidylserine, and reduction in CD47 [83], but also a loss in 2,-3-DPG and ATP and reduction in nitric oxide bioavailability. During senescence in CS, cell volume loss stiffens the RBC and leads to reduction in RBC deformability [84]. Thus, old RBC are prone to hemolysis or phagocytosis during the circulation and might reduce the outcome during re-infusion [75]. Stopped or highly reduced RBC ageing during CP storage is thus of advantage to preserve the quality of the cells. Further, the deglycerolization procedure applied during the thawing of CP cells and mainly responsible for the RBC loss during CP is suggested to destroy mainly old RBC [85]. Hence, the average RBC population age is reduced in CP in comparison to CS. This further positively affects the RBC deformability, density, size, and O2 affinity [18,84], which leads to an increased diffusion capacity and an improved muscular O2 supply [18,86]. Since there appear to be several differences in the RBC count, Hb content concerning the different storage techniques, it appears to be relevant to investigate these differences directly.
Furthermore, it is noteworthy that the majority of the articles published in the last 20 years either implied CS [19,20,43,60,61,64] or do not comment on the storage technique [87]. This appears to be contradictory to the actual applied ABD techniques in professional sports [11,88]. Because the different storage techniques in ABD probably lead to different blood adaptations and possibly different enhancements of the endurance performance, there is a need for future studies. These should focus on the effects of CP on functional blood parameters in relation to endurance capacity. This knowledge will allow to identify parameters affected by this procedure in order to develop new detection methods.

3.2. Blood Storage Duration

The second variable affecting the outcome of the ABD method is the storage duration. This refers to the time period between the blood donation from a subject and the blood re-infusion back to the initial donor. The importance of this phase during ABD is due to the fact that the increase in RBC mass after re-infusion evolves not from the re-infusion itself, but from the interplay between the recovery of RBC mass in vivo after sampling [89,90]—caused by an artificially created momentary anemia [91,92,93]—and the following re-infusion of additional RBC [3,12]. A decrease in circulating RBC after blood sampling increases erythropoietin (EPO) expression in the kidney and release, which stimulates erythropoiesis in the bone marrow [91]. The production of RBC starts with a pluripotent hematopoietic stem cell [89,90]. Among others, EPO is the key driver for of the differentiation of the progenitor cells into colony forming units-erythroid, proerythroblasts, and erythroblasts [94,95]. Erythropoiesis lasts approximately five to nine days. Reticulocytes are then released into the circulation to mature into RBC [90].
The RBC restoration of the RBC mass to pre-donation level [96] is essential for the performance enhancement caused by ABD. An additional aspect of the increase in erythropoiesis rate after blood sampling is a probable change in the RBC quality. The neoformation of young RBC reduces the average age of the circulating RBC pool [17]. This reduction in RBC age results from the interplay of an increased RBC production accompanied by a normal RBC mortality rate [17,97]. Young RBC are more deformable compared to other RBC and are suggested to show increased oxygen transport capacity [84,86]. Thus, rejuvenation of circulating RBC might improve ABD effect size [18]. However, further studies are needed to support this relation.
Although the restoration period appears to be a central element in ABD, only two articles tested the effect of different storage durations on exercise performance [51,58]. However, one of the two studies [51] tested differences in sampled blood volume in parallel and thus, the results of this article were less suitable for a comparison of storage durations. The second study [58] tested the exercise performance of the candidates after re-transfusion of the blood after a storage duration of 15 weeks and 2 weeks, respectively. After a storage duration of 15 weeks, TTE increased by 15%, VO2max by 17%, and also RBC count and Hb were significantly increased. In contrast, after 2 weeks of storage, Hb level and RBC count were not significantly altered. A performance test was not carried out [58]. These data indicate that the storage duration should be long enough to allow the blood parameters to reach the initial level prior to re-transfusion of the stored blood in order to significantly affect exercise performance [58].
According to current literature, recovery of the RBC content after donation of 500 mL of whole blood is estimated to last 59 days [60,74,98]. Referring to the selected articles in this review, only Robertson and co-workers [62] respect this recovery period. However, studies reporting a shorter period between blood donation and re-infusion present improvements in endurance performance and related blood parameters [20,51,74]. In general, the selected articles present a wide range of time frames between blood donation and re-infusion of 1 day up to 17 weeks [61,62]. The analysis of these articles revealed that the minimal recovery period needed to establish significant improvements in the endurance performance or relevant blood parameters appeared to be 4 weeks. Nine out of thirty-four articles described a storage time of less than 4 weeks (1 day to 3 weeks). However, only four of these articles detected significant improvements in TTE of up to 40% [43,56,63], physical working capacity (PWC) of 3.9% [54], Hb level of 14.3%, and RBC of 14.8% [56]. These findings suggest that this rather short recovery period might be sufficient for the tested subjects to at least recover a part of their RBC mass after sampling and that this might be sufficient to improve the performance. However, the recovery process of RBC is rather complex and mainly depends on an increased erythropoiesis, which might take one week to produce additional RBC [99]. Therefore, full recovery of the whole RBC mass during a recovery time of three weeks seems unlikely. Further, three of the four mentioned articles [43,54,63] sampled a blood volume >500 mL, which might need even more time to recover than the reported 59 days. The three articles that reported improvements in exercise performance after a recovery time of less than three weeks showed some limitation in the study design. The authors scheduled the baseline test after the blood sampling, shortly before the re-infusion [43,56,63]. Thus, baseline values of the performance parameters, but also RBC count and level of Hb, might be artificially reduced because of the blood loss. The increase in performance parameters likely express the effect of a restoration rather than an “on top” effect that is intended. Thus, a central element of the ABD mechanism—the need of RBC mass recovery—was disregarded. In contrast to that, Gullbring and co-workers [54]—the fourth article detecting an increase in endurance performance with storage durations less than four weeks—performed the baseline measurements before the blood sampling. PWC performance significantly increased by 3.9%. in the post re-infusion test. However, it cannot be ruled out that this result might also be related to an adaptation to the test protocol because the authors scheduled several tests between sampling and re-transfusion as well.
Furthermore, the test performed one day pre re-infusion presents a similar PWC performance compared to the test 1h post re-infusion. In addition, no significant increase in the Hb level was detected by the authors. This missing Hb increase presents a further indicator that the performance increase might be rather related to muscular adaptation than to changes in the subjects’ blood parameters. In contrast to the aforementioned articles, five of the articles analyzed herein with a storage duration of less than 3 weeks did not report any significant improvements in the tested performance—or relevant blood parameters. Furthermore, all articles with a storage duration of 4 weeks or more present significant changes in either the endurance performance, relevant blood parameters, or in both.
In summary, articles that described improvements in performance parameters after blood re-infusion but had storage durations less than four weeks also presented methodical weaknesses. Articles with storage durations less than four weeks and a reasonable study design regarding the exercise tests presented no significant improvements, but all articles with a storage time of 4 weeks or more, which might be needed to fully recover RBC mass, report improvements in performance and/or in related blood parameters including RBC or Hb. Thus, it was concluded that a minimum of four weeks is needed as RBC restoration time for any ABD effect on performance parameters. Future anti-blood doping studies should consider this information during the development of detection methods.

4. Limitations

The present article provides a better understanding of two key factors affecting the exercise performance related to ABD. Nevertheless, the small number of key words comprised in the applied search string might represent a limitation of the present review. For instance, in some articles the re-transfusion of RBC is also referred to as induced erythrocythemia. However, this term was not included in the conducted search, because it would also lead to articles not associated to autologous blood doping. Also, the literature search of this review only focused on peer reviewed original articles and thus excludes alternative sources such as proceedings, conference papers, and books [100].

5. Conclusions

This review revealed that the storage technique applied, and the storage duration adhered are two major factors that affect the endurance performance capacity in the context of autologous blood doping (ABD). The results of the literature review indicated that cold storage (CS) shows disadvantages compared to cryopreservation (CP) with regard to possible storage time. Also, the quality of RBC highly reduced during CS, which might lead to adverse effects for the exercise capacity. The review indicated that CP might be favored in the ABD procedure. The literature analyzed herein further revealed that a large proportion of published articles reported storage durations that might be insufficient to allow the restoration of initial RBC mass. This might in part explain the absence of positive effects of re-infused RBC on exercise parameters, but might also lead to the assumption that the reported positive effects of ABD on exercise performance might at least in part result from other influencing variables.
In order to understand the physiological changes in the RBC system during ABD, which is indispensable to develop ABD detection techniques, it might be of relevance to focus on three topics in future research: (1) investigation of the influence of CP on the ABD outcome because this might be the most used in current doping cases, (2) investigation of the influence of a proper restoration time on ABD outcome, (3) investigation of the changes in functional and structural RBC parameters during ABD.

Author Contributions

Conceptualization, B.S. and M.G.; methodology, B.S.; investigation, B.S.; writing—original draft preparation, B.S. and M.G.; visualization, B.S.; supervision, M.G.; project administration, M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received funding by the HIFF of the German Sports University Cologne.

Data Availability Statement

Not Applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Peters, C.; Schulz, T.; Oberhoffer, R.; Michna, H. Doping und Dopingprävention: Kenntnisse, einstellungen und erwartungen von Athleten und trainern Doping and Doping Prevention: Knowledge, Attitudes and Expectations of Athletes and Coaches. Dtsch. Z. Sportmed. 2009, 60, 73–78. [Google Scholar]
  2. Chorbok, D. Zur Strafbarkeit nach dem Anti-Doping-Gesetz; Herbert Utz Verlag: Munich, Germany, 2017; Volume 116. [Google Scholar]
  3. Mørkeberg, J. Detection of autologous blood transfusions in athletes: A historical perspective. Transfus. Med. Rev. 2012, 26, 199–208. [Google Scholar] [CrossRef] [PubMed]
  4. Birkland, K.I.; Hemmersbach, P. The future of doping control in athletes. Sports Med. 1999, 28, 25–33. [Google Scholar] [CrossRef] [PubMed]
  5. Armstrong, J.D.; Reilly, T. Blood Boosting and Sport. In Drugs in Sport; Mottram, D., Ed.; Routleg: London, UK, 2005; Volume 4, pp. 207–227. [Google Scholar]
  6. Bassett, J.D.R.; Howley, E.T. Blood doping: Then and now. A narrative review of the history, science and efficacy of blood doping in elite sport. Med. Sci. Sports Exerc. 2000, 32, 70–84. [Google Scholar] [CrossRef] [PubMed]
  7. Jelkmann, W. Features of Blood Doping: Merkmale von Blutdoping. Dtsch. Z. Sportmed. 2016, 67, 255–262. [Google Scholar] [CrossRef]
  8. Pottgiesser, T.; Echteler, T.; Sottas, P.E.; Umhau, M.; Schumacher, Y.O. Hemoglobin mass and biological passport for the detection of autologous blood doping. Med. Sci. Sports Exerc. 2012, 44, 835. [Google Scholar] [CrossRef] [Green Version]
  9. Marina, S. Operation Aderlass: “Ein Eindeutiges Licht auf die Dopingsituation”. Available online: https://www.deutschlandfunk.de/operation-aderlass-ein-eindeutiges-licht-auf-die.1346.de.html?dram:article_id=485211 (accessed on 27 October 2020).
  10. Fiedler, M. Operation Aderlass: Angeklagter Arzt legt in Dopingprozess Umfassendes Geständnis ab. Available online: https://www.spiegel.de/sport/operation-aderlass-arzt-legt-in-doping-prozess-umfassendes-gestaendnis-ab-a-9be6fdba-9e20-4970-bf30-2614a76eda7e (accessed on 22 October 2020).
  11. Behr, M. Grenzwertig: Aus dem Leben eines Dopingdealers; Riva Sportverlag: Wien, Austria, 2011. [Google Scholar]
  12. Leigh-Smith, S. Blood boosting. Br. J. Sports Med. 2004, 38, 99–101. [Google Scholar] [CrossRef] [Green Version]
  13. Zorzoli, M. Blood monitoring in antidoping setting. In Recent Advances in Doping Analysis: Sport und Buch; Schänzer, W., Geyer, H., Gotzmann, A., Mareck, M., Eds.; Sportverlag Strauß: Köln, Germany, 2005; pp. 255–264. [Google Scholar]
  14. Jones, M.; Pedoe, D.T. Blood doping—A literature review. Br. J. Sports Med. 1989, 23, 84–88. [Google Scholar] [CrossRef]
  15. Lagerberg, J.W. Cryopreservation of red blood cells. In Cryopreservation and Freeze-Drying Protocols; Wolkers, W.F., Oldenhof, H., Eds.; Springer: New York, NY, USA, 2015; pp. 353–367. [Google Scholar]
  16. Mørkeberg, J.; Belhage, B.; Ashenden, M.; Bornø, A.; Sharpe, K.; Dziegiel, M.H.; Damsgaard, R. Screening for autologous blood transfusions. Int. J. Sports Med. 2009, 30, 285–292. [Google Scholar] [CrossRef]
  17. Bizjak, D.A.; Grolle, A.; Urena, J.A.N.; Bloch, W.; Deitenbeck, R.; Grau, M. Monitoring of RBC rheology after cryopreservation to detect autologous blood doping in vivo? A pilot study. Clin. Hemorheol. Microcirc. 2020, 1–13, preprint. [Google Scholar] [CrossRef]
  18. Böning, D.; Maassen, N.; Pries, A. The hematocrit paradox—How does blood doping really work? Int. J. Sports Med. 2011, 32, 242–246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Solheim, S.A.; Bejder, J.; Breenfeldt Andersen, A.; Mørkeberg, J.; Nordsborg, N.B. Autologous Blood Transfusion Enhances Exercise Performance-Strength of the Evidence and Physiological Mechanisms. Sports Med. Open 2019, 5, 30–41. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Bejder, J.; Breenfeldt, A.A.; Solheim, S.A.; Gybel-Brask, M.; Secher, N.H.; Johansson, P.I.; Nordsborg, N.B. Time Trial Performance is Sensitive to Low-Volume Autologous Blood Transfusion. Med. Sci. Sports Exerc. 2019, 51, 692–700. [Google Scholar] [CrossRef] [PubMed]
  21. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; Prisma, G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS ONE 2009, 6. [Google Scholar] [CrossRef] [Green Version]
  22. MDPI. Publishing Standards and Guidelines. Available online: https://www.mdpi.com/editorial_process#standards (accessed on 25 December 2020).
  23. Lippi, G.; Franchini, M.; Salvagno, G.L.; Guidi, G.C. Biochemistry, physiology, and complications of blood doping: Facts and speculation. Crit. Rev. Clin. Lab. Sci. 2006, 43, 349–391. [Google Scholar] [CrossRef]
  24. Dowling, P. Erythropoietin a review. Sports Health 1990, 8, 30–32. [Google Scholar]
  25. Berglund, B. Development of techniques for the detection of blood doping in sport. Sports Med. 1988, 5, 127–135. [Google Scholar] [CrossRef]
  26. Nelson, M.; Ashend, M.; Langsahw, M.; Popp, H. Detection of homologous blood transfusion by flow cytometry: A deterrent against blood doping. Haematologica 2002, 87, 881–882. [Google Scholar] [CrossRef]
  27. Nelson, M.; Popp, H.; Sharpe, K.; Ashend, M. Proof of homologous blood transfusion through quantification of blood group antigens. Haematologica 2003, 88, 1284–1295. [Google Scholar]
  28. Voss, S.C.; Thevis, M.; Schinkothe, T.; Schänzer, W. Detection of homologous blood transfusion. Int. J. Sports Med. 2007, 28, 633–637. [Google Scholar] [CrossRef]
  29. Cazzola, M. A global strategy for prevention and detection of blood doping with erythropoietin and related drugs. Haematologica 2000, 85, 561–563. [Google Scholar] [PubMed]
  30. Malcovati, L.; Pascutto, C.; Cazzola, M. Hematologic passport for athletes competing in endurance sports: A feasibility study. Haematologica 2003, 88, 570–581. [Google Scholar] [PubMed]
  31. Gore, C.J.; Parisotto, R.; Ashenden, M.J.; Stray-Gundersen, J.; Sharpe, K.; Hopkins, W.; Emslie, K.R.; Howe, C.; Trout, G.J.; Kazlauskas, R.; et al. Second-generation blood tests to detect erythropoietin abuse by athletes. Haematologica 2003, 88, 333–344. [Google Scholar] [CrossRef] [PubMed]
  32. WADA. Athlete Biological Passport Operating Guidelines and Compilation of Required Elements. Volume 2.1. Available online: https://www.wada-ama.org/sites/default/files/resources/files/WADA_ABP_OperatingGuidelines_EN_2.1.pdf (accessed on 10 November 2020).
  33. Sanchis-Gomar, F.; Pareja-Galeano, H.; Brioche, T.; Martinez-Bello, V.; Lippi, G. Altitude exposure in sports: The Athlete Biological Passport standpoint. Drug Test. Anal. 2004, 6, 190–193. [Google Scholar] [CrossRef]
  34. Segura, J.; Minfort, N.; Ventura, R. Detection methods for autologous blood doping. Drug Test. Anal. 2012, 4, 876–881. [Google Scholar] [CrossRef]
  35. Sottas, P.-E.; Robinson, N.; Saugy, M. The athlete’s biological passport and indirect markers of blood doping. In Doping in Sports: Biochemical Principles, Effects and Analysis; Thieme, D., Hemmersbach, P., Eds.; Springer: Berlin, Germany, 2010; pp. 305–326. [Google Scholar]
  36. Bizjak, D.A.; Jungen, P.; Bloch, W.; Grau, M. Cryopreservation of red blood cells: Effect on rheologic properties and associated metabolic and nitric oxide related parameters. Cryobiology 2018, 84, 59–68. [Google Scholar] [CrossRef]
  37. Cade, W.T.; Bohnert, K.L.; Reeda, D.N.; Peterson, L.R.; Bittel, A.J.; Bashir, A.; Byrne, B.J.; Taylor, C.L. Peak oxygen uptake (VO2peak) across childhood, adolescence and young adulthood in Barth syndrome: Data from cross-sectional and longitudinal studies. PLoS ONE 2018, 13. [Google Scholar] [CrossRef]
  38. Hollmann, W.; Strüder, K.; Predel, H.-G.; Tagarakis, C. Kardiopulmonale Leistungsdiagnostik des Gesunden und Kranken; Schattauer: Stuttgart, Germany, 2006. [Google Scholar]
  39. Huggett, D.L.; Connelly, D.M.; Overend, T.J. Maximal aerobic capacity testing of older adults: A critical review. J. Gerontol. Ser. A Biol. Sci. Med Sci. 2005, 60, 57–66. [Google Scholar] [CrossRef]
  40. Green, S.; Askew, C. VO2peak is an acceptable estimate of cardiorespiratory fitness but not VO2max. J. Appl. Physiol. 2018, 125, 229–232. [Google Scholar] [CrossRef] [Green Version]
  41. Nicolò, A.; Sacchetti, M.; Girardi, M.; McCormick, A.; Angius, L.; Bazzucchi, I.; Marcora, S.M. A comparison of different methods to analyse data collected during time-to-exhaustion tests. Sports Sci. Health 2019, 15, 667–679. [Google Scholar] [CrossRef] [Green Version]
  42. Laursen, P.B.; Francis, G.T.; Abbiss, C.R.; Newton, M.J.; Nosaka, K. Reliability of time-to-exhaustion versus time-trial running tests in runners. Med. Sci. Sports Exerc. 2007, 39, 1374–1379. [Google Scholar] [CrossRef] [PubMed]
  43. Bennett-Guerrero, E.; Lockhart, E.L.; Bandarenko, N.; Campbell, M.L.; Natoli, M.J.; Jamnik, V.K.; Carter, R.C.; Moon, R.E. A randomized controlled pilot study of VO2 max testing: A potential model for measuring relative in vivo efficacy of different red blood cell products. Transfusions 2017, 57, 630–636. [Google Scholar] [CrossRef] [PubMed]
  44. Berglund, B.; Birgegård, G.; Wide, L.; Pihlstedt, P. Effects of blood transfusions on some hematological variables in endurance athletes. Med. Sci. Sports Exerc. 1989, 21, 637–642. [Google Scholar] [CrossRef] [PubMed]
  45. Berglund, B.; Hemmingson, P. Effect of reinfusion of autologous blood on exercise performance in cross-country skiers. Int. J. Sports Med. 1987, 8, 231–233. [Google Scholar] [CrossRef] [PubMed]
  46. Berglund, B.; Hemmingson, P.; Birgegård, G. Detection of autologous blood transfusions in cross-country skiers. Int. J. Sports Med. 1987, 8, 66–70. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Brien, A.J.; Simon, T.L. The effects of red blood cell infusion on 10-km race time. JAMA 1987, 257, 2761–2765. [Google Scholar] [CrossRef]
  48. Buick, F.J.; Gledhill, N.; Froese, A.B.; Spriet, L.; Meyers, E.C. Effect of induced erythrocythemia on aerobic work capacity. J. Appl. Physiol. 1980, 48, 636–642. [Google Scholar] [CrossRef]
  49. Celsing, F.; Nystrom, J.; Pihlstedt, P.; Werner, B.; Ekblom, B. Effect of long-term anemia and retransfusion on central circulation during exercise. J. Appl. Physiol. 1986, 61, 1358–1362. [Google Scholar] [CrossRef]
  50. Celsing, F.; Svedenhag, J.; Pihlstedt, P.; Ekblom, B. Effects of anaemia and stepwise-induced polycythaemia on maximal aerobic power in individuals with high and low haemoglobin concentrations. Acta Physiol. Scand. 1987, 129, 47–54. [Google Scholar] [CrossRef]
  51. Ekblom, B.; Goldbarg, A.N.; Gullbring, B. Response to exercise after blood loss and reinfusion. J. Appl. Physiol. 1972, 33, 175–180. [Google Scholar] [CrossRef]
  52. Ekblom, B.; Wilson, G.; Astrand, P.O. Central circulation during exercise after venesection and reinfusion of red blood cells. J. Appl. Physiol. 1976, 40, 379–383. [Google Scholar] [CrossRef] [PubMed]
  53. Goforth, J.H.W.; Hodgdon, J.A.; Sucec, A.A.; Campbell, N.L.; Rasmussen, W.T. Effect of Induced Erythrocythemia on Aerobic Capacity, Ventilatory Threshold, and Run Performance; Naval Health Research Center: San Diego, CA, USA, 1999. [Google Scholar]
  54. Gullbring, B.; Holmgren, A.; Sjöstrand, T.; Strandell, T. The effect of blood volume variations on the pulse rate in supine and upright positions and during exercise. Acta Physiol. Scand. 1960, 50, 62–71. [Google Scholar] [CrossRef] [PubMed]
  55. Kanstrup, I.L.; Ekblom, B. Blood volume and hemoglobin concentration as determinants of maximal aerobic power. Med. Sci. Sports Exerc. 1984, 16, 256–262. [Google Scholar] [CrossRef] [PubMed]
  56. Kots, Y.M.; Shcherba, M.M.; Kolker, Y.S.; Gorodetskii, V.D.; Sin, L.D. Experimental study of the relationship between the blood hemoglobin concentration and phyiscal aerobic working capacity. Hum. Physiol. 1978, 4, 43–49. [Google Scholar] [PubMed]
  57. Lamberti, N.; Finotti, A.; Gasparello, J.; Lampronti, I.; Zambon, C.; Cosenza, L.C.; Fabbri, E.; Dalla Corte, F.; Govoni, M.; Reverberi, R.; et al. Changes in hemoglobin profile reflect autologous blood transfusion misuse in sports. Intern. Emerg. Med. 2018, 13, 517–526. [Google Scholar] [CrossRef] [PubMed]
  58. Malm, C.B.; Khoo, N.S.; Granlund, I.; Lindstedt, E.; Hult, A. Autologous doping with cryo-preserved red blood cells–effects on physical performance and detection by multivariate statistics. PLoS ONE 2016, 11, e0156157. [Google Scholar] [CrossRef] [PubMed]
  59. Muza, S.R.; Sawka, M.N.; Young, A.J.; Dennis, R.C.; Gonzalez, R.R. Elite Special Forces: Physiological Description and Ergogenic Influence of Blood Infusion. Aviat. Space Envon. Med. 1987, 58, 1001–1004. [Google Scholar]
  60. Pottgiesser, T.; Specker, W.; Umhau, M.; Dickhuth, H.H.; Roecker, K.; Schumacher, Y.O. Recovery of hemoglobin mass after blood donation. Transfusion 2008, 48, 1390–1397. [Google Scholar] [CrossRef]
  61. Pottgiesser, T.; Umhau, M.; Ahlgrim, C.; Ruthardt, S.; Roecker, K.; Schumacher, Y.O. Hb mass measurement suitable to screen for illicit autologous blood transfusions. Med. Sci. Sports Exerc. 2007, 39, 1748–1756. [Google Scholar] [CrossRef]
  62. Robertson, R.J.; Gilcher, R.; Metz, K.F.; Caspersen, C.J.; Allison, T.G.; Abbott, R.A.; Skrinar, G.S.; Krause, R.J.; Nixon, P.A. Hemoglobin concentration and aerobic work capacity in women following induced erythrocythemia. J. Appl. Physiol. 1984, 57, 568–575. [Google Scholar] [CrossRef]
  63. Robinson, B.F.; Epstein, S.E.; Kahler, R.L.; Braunwald, E. Circulatory effects of acute expansion of blood volume: Studies during maximal exercise and at rest. Circ. Res. 1966, 19, 26–32. [Google Scholar] [CrossRef] [Green Version]
  64. Sallet, P.; Brunet-Guedj, E.; Mornex, R.; Baverel, G. Study of a new indirect method based on absolute norms of variation to detect autologous blood transfusion. Int. J. Hematol. 2008, 88, 362–368. [Google Scholar] [CrossRef] [PubMed]
  65. Sawka, M.N.; Dennis, R.C.; Gonzalez, R.R.; Young, A.J.; Muza, S.R.; Martin, J.W.; Wenger, C.B.; Francesconi, R.P.; Pandolf, K.B.; Valeri, C.R. Influence of polycythemia on blood volume and thermoregulation during exercise-heat stress. J. Appl. Physiol. 1987, 62, 912–918. [Google Scholar] [CrossRef] [PubMed]
  66. Sawka, M.N.; Young, A.J.; Muza, S.R.; Gonzalez, R.R.; Pandolf, K.B. Erythrocyte reinfusion and maximal aerobic power: An examination of modifying factors. JAMA 1987, 257, 1496–1499. [Google Scholar] [CrossRef]
  67. Spriet, L.L.; Gledhill, N.; Froese, A.B.; Wilkes, D.L. Effect of graded erythrocythemia on cardiovascular and metabolic responses to exercise. J. Appl. Physiol. 1986, 61, 1942–1948. [Google Scholar] [CrossRef]
  68. Thomson, J.M.; Stone, J.A.; Ginsburg, A.D.; Hamilton, P. The effects of blood reinfusion during prolonged, heavy exercise. Canadian journal of applied sport sciences. J. Can. Des Sci. Appl. Au Sport 1983, 8, 72–78. [Google Scholar]
  69. Thomson, J.M.; Stone, J.A.; Ginsburg, A.D.; Hamilton, P. O2 transport during exercise following blood reinfusion. J. Appl. Physiol. 1982, 53, 1213–1219. [Google Scholar] [CrossRef]
  70. Turner, D.L.; Hoppeler, H.; Noti, C.; Gurtner, H.P.; Gerber, H.; Schena, F.; Ferretti, G. Limitations to VO2max in humans after blood retransfusion. Respir. Physiol. 1993, 92, 329–341. [Google Scholar] [CrossRef]
  71. Williams, M.; Goodwin, A.; Perkins, R.; Bocrie, J. Effect of blood reinjection upon endurance capacity and heart rate. Med. Sci. Sports 1973, 5, 181–186. [Google Scholar] [CrossRef]
  72. Williams, M.H.; Lindhjem, M.; Schuster, R. The effect of blood infusion upon endurance capacity and ratings of perceived exertion. Med. Sci. Sports 1978, 10, 113–118. [Google Scholar]
  73. Williams, M.H.; Wesseldine, S.; Somma, T.; Schuster, R. The effect of induced erythrocythemia upon 5-mile treadmill run time. Med. Sci. Sports Exerc. 1981, 13, 169–175. [Google Scholar] [CrossRef] [PubMed]
  74. Ziegler, A.K.; Grand, J.; Stangerup, I.; Nielsen, H.J.; Dela, F.; Magnussen, K.; Helge, J.W. Time course for the recovery of physical performance, blood hemoglobin, and ferritin content after blood donation. Transfusion 2015, 55, 898–905. [Google Scholar] [CrossRef] [PubMed]
  75. Grau, M.; Friedrichs, P.; Krehan, S.; Koliamitra, C.; Suhr, F.; Bloch, W. Decrease in red blood cell deformability is associated with a reduction in RBC-NOS activation during storage. Clin Hemorheol. Microcirc. 2015, 60, 215–229. [Google Scholar] [CrossRef] [PubMed]
  76. Wang, D.; Sum, J.; Solomon, S.B.; Klein, H.G.; Natanson, C. Transfusion of older stored blood and risk of death: A meta-analysis. Transfusion 2012, 52, 1184–1195. [Google Scholar] [CrossRef] [Green Version]
  77. Stefanic, M.; Ward, K.; Tawfik, H.; Seemann, R.; Baulin, V.; Guo, Y.; Fleury, J.-B.; Drouet, C. Apatite nanoparticles strongly improve red blood cell cryopreservation by mediating trehalose delivery via enhanced membrane permeation. Biomaterials 2017, 140, 138–149. [Google Scholar] [CrossRef] [Green Version]
  78. Hess, J.R. Measures of stored red blood cell quality. Vox Sang. 2014, 107, 1–9. [Google Scholar] [CrossRef]
  79. Stoll, C.; Holovati, J.L.; Acker, J.P.; Wolkers, W.F. Synergistic effects of liposomes, trehalose, and hydroxyethyl starch for cryopreservation of human erythrocytes. Biotechnol. Prog. 2012, 28, 364–371. [Google Scholar] [CrossRef]
  80. Kim-Shapiro, D.B.; Lee, J.; Gladwin, M.T. Storage lesion: Role of red blood cell breakdown. Transfusion 2011, 51, 844–851. [Google Scholar] [CrossRef] [Green Version]
  81. Yoshida, T.; Prudent, M.; D’Alessandro, A. Red blood cell storage lesion: Causes and potential clinical consequences. Blood Transfus. 2019, 17, 27–52. [Google Scholar] [CrossRef]
  82. Islamzada, E.; Meatthews, K.; Guo, Q.; Santoso, A.T.; Duffy, S.P.; Scott, M.D.; Ma, H. Deformability based sorting of stored red bloodcells reveals donor-dependent aging curves. R. Soc. Chem. 2020, 20, 226–235. [Google Scholar] [CrossRef]
  83. Arias, C.F. How do red blood cells know when to die? R. Soc. Open Sci. 2017, 4, 160850. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Bizjak, D.A.; Brinkmann, C.; Bloch, W.; Grau, M. Increase in red blood cell-nitric oxide synthase dependent nitric oxide production during red blood cell aging in health and disease: A study on age dependent changes of rheologic and enzymatic properties in red blood cells. PLoS ONE 2015, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Pallotta, V.; D’Amici, G.; D’Alessandro, A.; Rossetti, R.; Zolla, L. Red blood cell processing for cryopreservation: From fresh blood to deglycerolization. Blood Cells Mol. Dis. 2012, 48, 226–232. [Google Scholar] [CrossRef] [PubMed]
  86. Smith, J.A.; Martin, D.T.; Telford, R.D.; Ballas, S.K. Greater erythrocyte deformability in world-class endurance athletes. Am. J. Physiol. Heart Circ. Physiol. 1999, 276, 2188–2193. [Google Scholar] [CrossRef] [PubMed]
  87. Damsgaard, R.; Munch, T.; Mørkeberg, J.; Mortensen, S.P.; Gonzalez-Alonso, J. Effects of blood withdrawal and reinfusion on biomarkers of erythropoiesis in humans: Implications for anti-doping strategies. Haematologica 2006, 91, 1006–1008. [Google Scholar] [CrossRef] [PubMed]
  88. Kornes, A. Verhafteter Doping-Arzt Hortete in Seiner Garage 40 Blutbeutel; Augsburger Allgemeine: Augsburg, Germany, 2019. [Google Scholar]
  89. De Marées, H. Sportphysiologie (9. Aufl.); Sportverlag Strauß: Köln, Geramny, 2003. [Google Scholar]
  90. Weineck, J. Sportbiologie (10. Aufl.); Spitta: Balingen, Geramny, 2010. [Google Scholar]
  91. Goodnough, L.T.; Price, T.H.; Rudnick, S.; Soegiarso, R.W. Preoperative red cell production in patients undergoing aggressive autologous blood phlebotomy with and without erythropoietin therapy. Transfus. Apher. Sci. 1992, 32, 441–445. [Google Scholar] [CrossRef]
  92. Goodnough, L.T.; Goodnough, L.T. The role of iron in erythropoiesis in the absence and presence of erythropoietin therapy. Nephrol. Dial. Transplant. 2002, 17, 14–18. [Google Scholar] [CrossRef] [Green Version]
  93. Tasaki, T.; Ohto, H.; Hashimoto, C.; Abe, R.; Saitoh, A.; Kikuchi, S. Recombinant human erythropoietin for autologous blood donation: Effects on perioperative red-blood-cell and serum erythropoietin production. Lancet 1992, 339, 773–775. [Google Scholar] [CrossRef]
  94. Spivak, J.L. The Mechanism of Action of Erythropoietin. Int. J. Cell Cloning 1986, 4, 139–166. [Google Scholar] [CrossRef]
  95. Hattangadi, S.M.; Wong, P.; Zhang, L.; Flygare, J.; Lodish, H.F. From stem cell to red cell: Regulation of erythropoiesis at multiple levels bymultiple proteins, RNAs, and chromatin modifications. Am. Soc. Hematol. 2011, 118, 6258–6268. [Google Scholar] [CrossRef] [Green Version]
  96. Dudrick, S.J.; O’Donnell, J.J.; Raleigh, D.P.; Matheny, R.G.; Unkel, S.P. Rapid restoration of red blood cell mass in severely anemic surgical patients who refuse transfusion. Arch. Surg. 1985, 120, 721–727. [Google Scholar] [CrossRef] [PubMed]
  97. Lorentz, A.; Jendrissek, A.; Eckardt, K.U.; Schipplick, M.; Osswald, P.M.; Kurtz, A. Serial immunoreactive erythropoietin levels in autologous blood donors. Transfusion 1991, 31, 650–654. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Högler, W.; Mayer, W.; Messmer, C.; Eibl, G.; Innerhofer, P.; Schönitzer, D.; Nussbaumer, W. Prolonged iron depletion afterallogeneic 2-unit RBC apheresis. Transfusion 2001, 41, 602–605. [Google Scholar] [CrossRef] [PubMed]
  99. Singh, A.K. Erythropoiesis: The Roles of Erythropoietin and Iron. In Textbook of Nephro-Endocrinology, 2nd ed.; Singh, A.K., Williams, G.H., Eds.; Academic Press: Cambridge, UK, 2018; pp. 207–215. [Google Scholar]
  100. Webster, J.; Watson, R.T. Analyzing the past to prepare for the future: Writing a literature review. Mis Q. 2002, 26, xiii–xxiii. [Google Scholar]
Figure 1. Research process. Flow diagram inspired by PRISMA 2009 Flow Diagram [21].
Figure 1. Research process. Flow diagram inspired by PRISMA 2009 Flow Diagram [21].
Biology 10 00014 g001
Table 1. Overview of analyzed original articles related to effects of blood storage techniques and storage duration on performance outcome in autologous blood doping (ABD).
Table 1. Overview of analyzed original articles related to effects of blood storage techniques and storage duration on performance outcome in autologous blood doping (ABD).
ArticlenFitnessDonatedStoredInfusedTTE/TTVO2m/pRBCHb
Bejder et al. [20]9Mht450 mLCS 4 wk136 mLTT + 4.4% *p/+ 3.3% *+ 2.9% *
CS 4 wk369 mLTT + 5.1% *p/+ 9.8% *+ 8.9% *
Bennett-Guerrero et al. [43]4Mt900 mLCS 1 wk900 mLTTE + 8.4% *m + 8.7% *
4Mt900 mLCS 1 wk900 mLTTE − 2.6% *m + 1.9% *
Berglund et al. [44]8M+4Ft3 × 450 mLCP ~14 wkn/a F + 18% *
M + 12% *
Berglund & Hemmingson [45]6M/Fht1 × 900 mL + 1 × 450 mLCS 4 wk1350 mLTT + 5.3% * + *
Berglund et al. [46]6M/Fht1 × 900 mL + 1 × 450 mLCS 4 wk1350 mLTT n/a + 7.9% *
Brien et al. [47]6Mt2 × 450 mLCP400 mLTT + *
Buick et al. [48]11Mht1000 mLCP900 mLTTE + 33% *m + 5% * + 8% *
Celsing et al. [49]9Mt5 × 450 mLCS + CP 1–9 wk1800 mL m/
Celsing et al. [50]8Mt8 × 450 mL5–7 wkn/a m/
Ekblom et al. [51]3Mut3 × 400 mL6 wkn/aTTE + 23% *m + 9% *+ 18% *+ 13% *
4Mut800 mL4 wkn/aTTE + *m + * + 4.9% *
Ekblom et al. [52]5Mt800 mLCS360 mL m + 8% * + 4.9% *
Goforth et al. [53]6Mht2 × 450 mLCP330 mLTT + 2% *m + 11.9% * + 10% *
Gullbring et al. [54]6Mut530–689 mLCS 1 wkn/aPWC + 3.9% * /
Kanstrup & Ekblom [55]Mt900 mL + 500/750 mLCS500/750 mLTTE + 24% *m + 2–11% * + 4% *
Kots et al. [56]10Mht/ut500 mL3 wk500 mLTTE + 40% *m/+ 14.8% *+ 14.3% *
Lamberti et al. [57]24Mt450 mLCS/CP 5 wkn/a + *+ *
Malm et al. [58]10Mt2 × 450 mLCP 15 wkn/aTTE + 15% *m + 17% *+ *+ *
30M/Ft1 or 2 × 450 mLCP 2 wkn/a //
Mørkeberg et al. [16]23Mt3 × 450 mLCS 4 wkn/a + 3.6%*
CP 10 wk + 6.5% *
Muza et al. [59].12MSF2 × 450 mLCP ~12 wk600 mL m + 11% *+ 11% *+ 10% *
Pottgiesser et al. [60]10Mn/a550 mLCS 7 wk280–350 mL + *+ 5–8% *
Pottgiesser et al. [61]11Mn/a550 mL/1000 mLCS 1 d330–550 mL − *
Robertson et al. [62]9Fn/a2 × 450 mLCP ~9–17 wk475 mL m + *+ *+ *
Robinson et al. [63]6Mn/a1000–1200 mL~2 wk1000–1200 mLTTE + *m/
Sallet et al. [64]7Mht450 mLCS ~3 wk450 mL +/
Sawka et al. [65]30Mn/a450 mLCP600 mL m + * + 10% *
Sawka et al. [66]9Mt2 × 450 mLCP 6 wk600 mL m + 11% *+11% *+ 10% *
Spriet et al. [67]4Mht1 × 900 mL + 1 × 450 mLCP ~10 wk450 mL m/ + *
4Mht900 mL m + 7.5–10.7% * + *
4Mht1350 mL m + 10–13.3% * + *
Thomson et al. [68]4Mt2 × 500 mLCP ~12 wkn/aTT + 10% *m + * + *
Thomson et al. [69]4Mut2 × 500 mLCPn/aTT + *m + * + *
Turner et al. [70]7Mn/a2 × 450 mLCPn/aTT + 5.3% *m + * + 3.9% *
Williams et al. [71]5Mht500 mLCS 3 wk500 mLTTE/
5Mht275 mLTTE/
Williams et al. [72]16Mht460 mLCP 3 wk460 mLTTE/ //
Williams et al. [73]12Mht2 × 460 mLCP ~9 wk920 mLTT + * + *+ *
Ziegler et al. [74]8Mn/a450 mL~4 wk245 mLTT + 4.6% *p + 4.8% *+ *+ *
Legend: VO2m/p = VO2max/VO2peak; m = max; p = peak; RBC = red blood cell; Hb = hemoglobin; CS = cold storage at (4 °C); CP = cryopreserved; wk = week(s); d = day(s); M = male; F = female; ht = highly trained; t = active/moderately trained; ut = untrained; SF = special forces; TT = time trial test; TTE = time to exhaustion test; PWC = physical working capacity test; + = increase; / = no change; − = decrease; * = significant; X.X% = change in %; n/a = not available.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Seeger, B.; Grau, M. Relation between Exercise Performance and Blood Storage Condition and Storage Time in Autologous Blood Doping. Biology 2021, 10, 14. https://doi.org/10.3390/biology10010014

AMA Style

Seeger B, Grau M. Relation between Exercise Performance and Blood Storage Condition and Storage Time in Autologous Blood Doping. Biology. 2021; 10(1):14. https://doi.org/10.3390/biology10010014

Chicago/Turabian Style

Seeger, Benedikt, and Marijke Grau. 2021. "Relation between Exercise Performance and Blood Storage Condition and Storage Time in Autologous Blood Doping" Biology 10, no. 1: 14. https://doi.org/10.3390/biology10010014

APA Style

Seeger, B., & Grau, M. (2021). Relation between Exercise Performance and Blood Storage Condition and Storage Time in Autologous Blood Doping. Biology, 10(1), 14. https://doi.org/10.3390/biology10010014

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop