Literature DB >> 34027448

Elevation of Peripheral Blood CD34+ and Platelet Levels After Exercise With Cooling and Compression.

Mark C Callanan1, Kevin D Christensen2, Hillary A Plummer3, Johnny Torres4, Adam W Anz5.   

Abstract

PURPOSE: To analyze the cellular response and chemokine profiles following exercise using cooling and blood flow restriction on the Vasper system.
METHODS: Healthy male patients between the ages of 20 and 39 years were recruited. Testing was performed on the Vasper system, a NuStep cross-trainer with concomitant 4-limb venous compression with proximal arm cuffs at 40 mm Hg and proximal leg cuffs at 65 mm Hg. A cooling vest and cooling mat (8.3°C) were used. A 7-minute warm-up followed by alternating 30- and 60-second sprints with 1.5 and 2 minutes of active recovery, respectively, between each sprint. Peripheral blood was drawn before exercise, immediately following exercise (T20), 10 minutes after the first post-exercise blood draw (T30), and then every 30 minutes (T60, T90, T120, T150, T180). A blood draw occurred at 24 hours' postexercise. Complete blood count, monoclonal flow cytometry for CD34+, and enzyme-linked immunosorbent assay were used to analyze the samples.
RESULTS: Sixteen healthy male patients (29.5 ± 4.5years, 1.78 ± 0.05m, 83.7 ± 11.4 kg) were enrolled. There was an immediate, temporary increase in white blood cell counts, marked by an increase in lymphocyte differential (38.3 ± 6.5 to 44.3 ± 9.0%, P = .001), decrease in neutrophil differential (47.8 ± 6.6 to 42.0 ± 9.1%, P < .001), and platelets (239.5 ± 57.2 to 268.6 ± 86.3 K⋅μL-1, P = .01). Monocytes significantly decreased from PRE to T90 (9.8 ± 1.1 to 8.9 ± 1.1K/μL, P < .001) and T120 (8.9 ± 1.1 K/μL, P < .0001). There was a significant increase in CD34+ cells (3.9 ± 2.0 to 5.3 ± 2.8 cells⋅μL-1, P < .001). No detectable differences in measured cytokine levels of interleukin (IL)-10, IL-6, granulocyte-macrophage colony-stimulating factor , IL-1ra, tumor necrosis factor-α, or IL-2 were observed.
CONCLUSIONS: A significant elevation of peripheral blood CD34+ and platelet levels immediately following the exercise session was observed; however, there was no effect on peripheral circulation of IL-10, IL-6, IL-1ra, tumor necrosis factor-α, or IL-2. CLINICAL RELEVANCE: Exercise can be considered as a way to manipulate point-of-care blood products like platelet-rich plasma and may increase product yield.
© 2020 by the Arthroscopy Association of North America. Published by Elsevier Inc.

Entities:  

Year:  2021        PMID: 34027448      PMCID: PMC8129037          DOI: 10.1016/j.asmr.2020.10.003

Source DB:  PubMed          Journal:  Arthrosc Sports Med Rehabil        ISSN: 2666-061X


Interest in biologic treatments for orthopaedic conditions has grown significantly in recent years. There are a variety of biologic options available in current practice, with the 2 most popular being platelet-rich plasma and bone marrow aspirate to augment surgical procedures and treat degenerative conditions such as osteoarthritis.1, 2, 3 Platelet-rich plasma and bone marrow aspirate are thought to participate in inflammation control, injury recovery, tissue healing, and ideally tissue regeneration. The term stem cell is commonly used, and the 4 cardinal properties of cells with stem potential are reproducibility, multipotentiality, mobility, and paracrine control. Cells with stem potential reside in multiple orthopaedic tissues and are mobilized in periods of injury., Animal and human physiology studies have highlighted the potential for environmental mobilization of stem cells without the need for pharmaceuticals. There is evidence that heat, hypoxia, and cold can stimulate stem cells to mobilize to the peripheral circulation. An increase in the peripheral mobilization of platelets as well as hematopoietic progenitor cells (HPCs) following vigorous exercise in humans also has been observed.7, 8, 9, 10 Previous literature also has demonstrated that exercise results in a rise in peripheral interleukin-1 receptor antagonist (IL-1ra) levels, which are thought to potentiate the effects of mononuclear cells., These findings highlight a potential method for improving the collection of HPCs from the peripheral circulation with limited comorbidity through the use of vigorous exercise. The Vasper system is a NuStep that uses a cooling vest to keep body temperature low and compression cuffs around the extremities to provide blood flow restriction. The addition of the cooling vest and compression cuffs may help to provide additional stress to the body, which may increase the mobilization of HPCs to the peripheral circulation. If increased mobilization of HPCs and platelets to the peripheral circulation occurs, it may drive clinical research to examine whether exercise improves the efficacy of point-of-care blood products and ultimately improves patient outcomes. The purpose of this study was to analyze the cellular response and chemokine profiles following exercise using cooling and blood flow restriction on the Vasper system. This could be a potentially less-invasive method to mobilize stem cells to optimize the physiology of recovering orthopaedic patients as well as to manipulate point-of-care blood and bone marrow products in orthopaedics. We hypothesized that an increase in CD34+ cells, platelets, white blood cells (WBCs), neutrophils, lymphocytes, interleukin (IL)-10, IL-6, IL-1ra, tumor necrosis factor-α (TNF-α), and IL-2 would occur following exercise with the Vasper system.

Methods

Participants

Healthy male participants between the ages of 20 and 39 years were recruited. Participants were excluded if they were less than 37.5 kg or greater than 99 kg. Participants also were excluded if they had a medical history of diabetes, autoimmune disorders, blood disorders, disorders requiring immunosuppression, cancer, an ongoing infectious disease, or significant cardiovascular, renal, hepatic, or pulmonary disease. Significant cardiovascular disease included aortic valve disease, a history of deep-vein thrombosis, venous insufficiency, or cold-induced syndromes such as Raynaud’s or cold-induced urticaria. All participants were required to have no medical restrictions that prevented undergoing the 20-minute exercise sessions. All procedures were approved by the hospital’s institutional review board (Baptist Hospital Pensacola Institutional Review Board; approval 872465). Before data collection, all testing procedures, risks, and benefits of the specific study were explained to each participant and written informed consent was obtained.

Testing Sessions

The participants arrived for testing between 6:00 and 10:00 AM in the morning after eating a breakfast of their own choice. Testing was performed on the Vasper NuStep T5XR recumbent cross-trainer (Vasper Systems, Mountain View, CA) (Fig 1). The participant wore a cooling vest that was set at a temperature of 8.3°C (47°F). Blood flow restriction cuffs were applied bilaterally on the upper arm and they provided 40 mm Hg of compression throughout exercise testing. Cuffs also were applied bilaterally on the upper legs and provided 65 mm Hg of compression. The participants also sat on a cooling pad with a temperature of 8.3°C (47°F). Testing was performed with the participant barefoot because the foot panels of the machine also provided cooling.
Fig 1

Vasper NuStep T5XR recumbent cross-trainer.

Vasper NuStep T5XR recumbent cross-trainer. The participants were placed on the machine for 20 minutes of exercising. The machine was set to the same protocol for all participants. Participants performed a 7-minute warm-up on the Vasper machine at a self-selected pace. Once the warm-up was completed, the participants performed 6 sprint intervals, alternating 30-second and 60-second sprints. Following the 30-second sprints the participants had 1.5 minutes of active recovery before the 60-second sprint. Two minutes of active recovery followed each 60-second sprint (Fig 2). Participants were instructed to exert maximal effort during the sprint periods. If a participant reached self-described exertional fatigue and could not finish the entire exercise protocol, then blood was drawn at the time they could no longer continue.
Fig 2

Exercise protocol that was used. S1-S6 indicate 30- and 60-second sprint intervals.

Exercise protocol that was used. S1-S6 indicate 30- and 60-second sprint intervals.

Blood Sampling

On the day of testing, participants had a forearm intravenous catheter placed using standard sterile techniques by a physician or nurse. This catheter was used to obtain the initial and serial postexercise blood samples. After the initial blood draw, participants completed the exercise regimen. Blood samples were collected for a complete blood count (CBC), enzyme-linked immunosorbent assay (ELISA), and flow cytometry. Sampling began immediately following exercise (T20), 10 minutes after the first postexercise blood draw (T30), and was repeated every 30 minutes (T60, T90, T120, T150, T180). The catheter was removed following the T180 blood draw. Participants returned 24-hour (T24 hours) after exercise for a final blood draw. Participants were instructed to avoid exercising during the 24-hour time period before the final blood draw. A CBC with differential was performed for each blood sample. CBCs were performed on a Sysmex XN-1000 hematology analyzer (Lincolnshire, IL). ELISA was performed on all samples to detect cytokine levels, which are of interest to orthopaedic conditions, and included IL-10, IL-6, granulocyte-macrophage colony-stimulating factor (GM-CSF), IL-1ra, TNF-α, or IL-2. The MAGPIX (Luminex Corporation, Austin, TX) is a fluorescent-based instrument that uses charge-coupled device imaging technology. xMAP microspheres used for analysis are a family of fluorescently dyed carboxylated polystyrene microspheres that act as both the surface for the solution phase assay and the spectral identifier that the instrument detects and an detect multiple proteins in a single reaction. Flow cytometry (Cytomics FC500 Flow Cytometer; Beckman Coulter Life Sciences, Indianapolis, IN) was used to quantify the amount of CD34+ peripheral blood cells. The samples were washed and diluted based on the sample concentration and then incubated for 30 minutes with a binding inhibitor. Following initial incubation, the samples were incubated for 30 minutes with antibodies for a CD34+ lineage panel. Standard isotype control samples were used. Each sample was washed, centrifuged, and then fixed with 10% formaldehyde before the flow cytometry analysis. The samples were only assessed at TPre and T20 due to the cost and the amount of time required to test each sample with flow cytometry.

Statistical Analysis

Analyses were performed on each variable with repeated-measures analysis of variance to test the hypothesis at a confidence level of 95% (P < .05). The results are presented as mean ± standard deviation. Statistical significance was set a priori at P < .05. All analyses were conducted using IBM SPSS, version 25.0, software (IBM Corp. Armonk, NY). With an alpha level of 5% and a beta of 10% and an effect size of 200%, a sample size of 10 was sufficient. This level of power has also been confirmed from previous mobilization studies.,

Results

Sixteen healthy males (29.5 ± 4.5years, 1.78 ± 0.05 m, 83.7 ± 11.4 kg) were enrolled. One participant did not return for the 24-hour blood draw. Two participants ELISA data were all outliers and were removed from the analysis. Data for platelets, WBCs, neutrophils, monocytes, lymphocytes, basophils, and eosinophils are presented in Table 1. ELISA data are presented in Table 2. CD34+ is presented in Figure 3. There was a significant increase in platelet counts from PRE to T20 (239.5 ± 57.2 to 268.6 ± 86.3 K⋅μL–1, Mdiff = 29.1 K⋅μL–1, P = .01). This was followed by a significant decrease in platelet levels from PRE noted at T60 (239.5 ± 57.2 to 219.3 ± 64.9 K⋅μL–1, Mdiff = –20.2 K⋅μL–1, P = .007), T90 (206.8 ± 72.5 K⋅μL–1, Mdiff = –32.7 K⋅μL–1, P = .005), T120 (225.6 ± 53.7 K⋅μL–1, Mdiff = –13.9 K⋅μL–1, P = .02), and T150 (213.9 ± 71.6K⋅μL–1, Mdiff = –25.6 K⋅μL–1, P = .01) and T180 (204.0 ± 62.9 K⋅μL–1, Mdiff = –35.5 K⋅μL–1, P = .002). There was a significant increase in WBC counts from PRE to T20 (6.1 ± 1.1 to 8.8 ± 2.7 K⋅μL–1, Mdiff = 2.7 K⋅μL–1, P < .001) and T30 (7.2 ± 2.2 K⋅μL–1, Mdiff = 1.1 K⋅μL–1, P = .02). A significant decrease was then observed in WBC counts noted at T60 (5.5 ± 1.0 K⋅μL–1, Mdiff = –0.6 K⋅μL–1, P = .001) and T90 (5.3 ± 1.3 K⋅μL–1, Mdiff = –0.8 K⋅μL–1, P = .005). WBC counts plateaued until T180, where there was another significant increase from PRE levels (7.1 ± 2.1 K⋅μL–1, Mdiff = 1.0 K⋅μL–1, P = .04), followed by another significant decrease at T24 hours (5.5 ± 0.8 K⋅μL–1, Mdiff = –0.6 K⋅μL–1, P = .01).
Table 1

Results at Each Time Point

PRET20T30T60T90T120T150T180T24H
WBC, K⋅μL–1
 Participant 16.27.35.66.13.85.86.35.85.4
 Participant 25.26.16.14.35.65.65.25.45
 Participant 35.55.65.64.44.44.44.44.94.8
 Participant 44.35.143.63.743.13.94.4
 Participant 54.78.374.23.94.84.4
 Participant 66.77.35.76.36.66.66.36
 Participant 754.94.44.34.56.67.14.1
 Participant 85.685.74.62.343.85.25.8
 Participant 95.510.610.56.25.77.49.9106.3
 Participant 10810.97.65.46.18.48.68.25.9
 Participant 116.410.26.75.75.15.36.56.36
 Participant 125.89.38.15.766.98.98.84.8
 Participant 137.612.19.66.66.26.57.286.3
 Participant 146.6107.767.211.511.4116.8
 Participant 15813.610.676.89.19.49.26.5
 Participant 166.412.510.85.866.47.58.26.4
 Mean6.1 ± 1.18.8 ± 2.77.2 ± 2.25.5 ±1.05.3 ±1.36.4 ± 2.17.0 ± 2.37.1 ± 2.15.5 ± 0.8
Platelets, K⋅μL–1
 Participant 130029725628495217264201189
 Participant 2188175185110203203181190198
 Participant 3228146239183217215175223229
 Participant 41681861621501141496788161
 Participant 5169208176152148144162
 Participant 6263270247259251266257269
 Participant 7206213192186198204203199
 Participant 8217276209209152217
 Participant 9231299281252250238239209241
 Participant 10192222184167164174173165173
 Participant 11176218179176151174171167186
 Participant 1226529628725823425227125787
 Participant 13261349305249237255239256262
 Participant 14233267234218208210202203200
 Participant 15272312279259236237170238256
 Participant 16393503484364387371381364367
 Mean239.5 ± 57.2268.6 ± 86.3248.2 ± 79.1219.3 ± 64.9206.8 ± 72.5225.6 ± 53.7213.9 ± 71.6204.0 ± 62.9208.7 ± 61.7
Neutrophils, %
 Participant 155.458.962.169.87072.170.768.755.2
 Participant 249.44147.255.960.960.964.864.953.5
 Participant 346.64145.249.554.656.456.757.652.5
 Participant 444.948.753.555.556.154.650.450.646.5
 Participant 543.634.436.243.148.747.940.8
 Participant 646.148.952.156.25757.357.854
 Participant 761.260.263.96668.276.979.358.5
 Participant 848.844.547.15459.369.764.467.248.3
 Participant 949.732.935.349.265.275.677.876.145.6
 Participant 1043.637.542.450.964.170.268.867.741.6
 Participant 1153.847.154.658.759.761.364.264.556.3
 Participant 1246.236.941.948.55565.869.57048.5
 Participant 1344.338.640.950.45863.263.863.449.5
 Participant 1433.32832.437.768.880.581.983.143.4
 Participant 1542.131.335.854.766.571.975.877.530.4
 Participant 1656.443.44862.567.871.673.775.158.5
 Mean47.8 ± 6.642.0 ± 9.146.2 ± 9.353.1 ± 7.760.8 ± 6.166.6 ± 7.567.8 ± 8.768.0 ± 9.348.6 ± 67.6
Lymphocytes, %
 Participant 131.527.22419.318.819.2192330.4
 Participant 240.251.142.933.929.629.626.626.434.7
 Participant 341.347.642.937.834.932.631.931.636.3
 Participant 439.536.130.327.528.830.637.436.439.9
 Participant 53746.344.737.132.335.938.9
 Participant 64238.635.631.931.931.430.935.2
 Participant 725.327.422.821.320.31311.927.4
 Participant 836.641.13831.228.125.826.722.737.4
 Participant 938.255.152.839.521.714.411.814.141.9
 Participant 1041.948.242.233.323.919.22222.744.4
 Participant 1134.341.535.330.9312926.526.734.4
 Participant 1236.246.941.833.728.522.52020.634.8
 Participant 1335.742.941.131.32622.423.124.633.6
 Participant 1453.557.752.948.721.612.411.511.343.9
 Participant 1547.756.953.835.725.919.316.61755.9
 Participant 1632.7444026.823.220.31817.731.9
 Mean38.3 ± 6.544.3 ± 9.041.2 ± 8.233.2 ± 6.627.1 ± 4.623.3 ± 6.222.3 ± 7.722.8 ± 7.737.7 ± 6.9
Monocytes, k/μL
 Participant 1101111.19.38.97.38.86.610.7
 Participant 28.26.17.98.17.97.96.86.99.8
 Participant 3109.79.710.198.99.19.29.2
 Participant 412.112.312.913.412.1128.910.19.6
 Participant 510.911.911.41110.39.810.5
 Participant 69.610.59.99.99.49.89.88.7
 Participant 710.59.710.410.49.587.411
 Participant 810.59.910.19.69.28.46.58.110.2
 Participant 99.810.39.99.511.18.99.48.810.2
 Participant 1011.511.312.412.29.57.97.17.710
 Participant 119.28.67.67.66.97.47.16.87
 Participant 128.58.68.38.78.16.56.25.68.9
 Participant 139.99.49.38.98.48.27.86.99
 Participant 149.511.210.810.47.75.85.44.49.6
 Participant 158.59.88.97.86.27.96.54.810.8
 Participant 168.310.28.98.36.76.46.45.87
 Mean9.8 ±1.110.0 ±1.510.0 ±1.59.7 ±1.68.9 ±1.68.2 ±1.57.6 ±1.37.35 ±1.79.6 ±1.2
Eosinophils, %
 Participant 12.62.12.21.11.30.91.11.22.6
 Participant 210.810.90.40.40.40.41
 Participant 31.51.11.31.61.11.41.10.81
 Participant 42.82.12.52.52.2221.82.8
 Participant 58.16.66.88.17.95.88.9
 Participant 61.81.51.61.31.11.110.7
 Participant 72.21.921.61.11.10.72.4
 Participant 83.23.63.94.12.62.31.81.43.1
 Participant 91.61.11.21.11.10.50.30.31.3
 Participant 102.52.32.22.81.61.61.31.33.1
 Participant 111.922.11.91.61.31.51.31.7
 Participant 1286.76.987.44.23.53.26.6
 Participant 138.887.58.36.55.14.34.16.8
 Participant 142.72.32.72.310.60.40.32.1
 Participant 15110.910.70.30.60.21.5
 Participant 161.71.61.91.41.30.90.80.61.7
 Mean3.2 ± 2.62.8 ± 2.32.9 ±2.23.1 ±2.72.5 ±2.51.6 ± 1.41.4 ±1.11.5 ±1.63.1 ±2.4
Basophils, %
 Participant 10.20.40.40.30.50.20.20.20.4
 Participant 20.80.50.50.70.70.70.80.70.8
 Participant 30.40.40.50.50.20.50.70.40.6
 Participant 40.50.80.80.80.80.810.80.7
 Participant 50.20.60.60.70.30.40.7
 Participant 60.30.40.40.20.30.20.30.3
 Participant 70.60.60.70.70.70.50.40.5
 Participant 80.70.60.50.70.40.50.30.40.7
 Participant 90.50.40.60.50.70.30.30.40.8
 Participant 100.40.50.80.60.70.70.50.60.7
 Participant 110.60.50.30.50.60.80.50.50.3
 Participant 120.90.810.90.80.70.70.50.6
 Participant 130.80.70.60.60.60.60.60.60.8
 Participant 140.80.70.90.70.60.40.40.40.7
 Participant 150.60.90.50.70.60.40.40.30.9
 Participant 160.60.50.60.50.50.30.40.40.6
 Mean0.56 ± 0.220.58 ± 0.160.61 ± 0.190.59 ± 0.180.56 ± 0.180.52 ± 0.210.51 ± 0.220.46 ± 0.150.65 ± 0.16

NOTE. Mean ± standard deviation.

WBC, white blood cells.

Significant increase from PRE.

Significant decrease from PRE.

Table 2

Flow Cytometry and ELISA Results at Each Time Point

PRET20T30T60T90T120T150T180T24H
IL-1RA, mg⋅dL–1
 Participant 1
 Participant 2
 Participant 34284.53638.53048.43123.62760.42845.63075.02804.45401.5
 Participant 45524.94869.85192.93517.43895.93895.94470.45202.85689.8
 Participant 55038.96824.55857.14440.86316.66972.66861.07174.24998.0
 Participant 67149.75699.55543.45683.96677.46455.06054.86597.84788.7
 Participant 76831.36269.26007.65541.26431.96368.85848.44820.51889.9
 Participant 88385.711,487.311,596.914,895.713,094.913,682.46210.612,585.83478.2
 Participant 93698.35022.84037.54005.45967.14124.92055.92433.93170.1
 Participant 103094.62981.02595.82150.52493.53502.84862.83437.62840.8
 Participant 112671.03958.82853.42463.43064.23784.53781.33388.43136.7
 Participant 125167.83785.33605.53377.23376.33502.84178.34594.2
 Participant 132458.12530.82584.72348.23035.23189.72112.22152.61899.6
 Participant 147777.68076.27448.87494.68923.49074.08559.86091.66018.5
 Participant 152068.32672.92474.32230.22112.22271.51931.01669.11830.4
 Participant 162659.92902.62556.72523.42772.91986.52150.42400.32270.5
 Mean4772.2 ± 2121.85051.4 ± 2501.74671.6 ± 2562.14556.8 ±3365.05065.8 ±3094.15118.3 ±3187.24439.4 ± 2070.84668.1 ± 2870.53647.1 ± 1541.3
IL-10, mg⋅dL–1
 Participant 1
 Participant 2
 Participant 3296.3311.1333.5364.6332.3329.9259.3287.3437.3
 Participant 4417.1406.2425.0412.3435.4435.4406.5425.4453.0
 Participant 5375.2568.8513.4502.7535.7507.7560.6586.2532.5
 Participant 6628.1552.8533.1519.2634.5596.0542.8552.7339.0
 Participant 7388.2388.2396.5346.3379.7412.1396.9434.6415.5
 Participant 8375.2388.2419.4489.0578.4463.2470.7549.5485.6
 Participant 9512.9542.8666.1565.5756.2546.0292.4406.4628.3
 Participant 10338.9294.8213.4216.9310.7342.7189.9281.3437.4
 Participant 11386.8344.0320.1338.9310.7445.9456.5518.7425.7
 Participant 12438.6473.9472.5438.6462.6438.6557.7559.9
 Participant 13214.2189.9225.0214.2225.0189.9177.2202.6214.2
 Participant 14277.2236.6212.3214.2257.5267.1277.2236.6225.0
 Participant 15175.5225.8246.7214.2272.2277.2212.3189.9189.9
 Participant 16295.0303.5303.5265.4355.3295.9295.0267.6276.2
 Mean365.7 ± 116.7373.3 ± 124.2377.2 ± 137.2364.4 ± 157.7417.6 ± 3094.1396.2 ± 116.4363.9 ± 138.0392.8 ± 145.5389.2 ± 132.4
IL-6, mg⋅dL–1
 Participant 1
 Participant 2
 Participant 3213.8222.7202.9203.6178.3163.9226.8173.8311.1
 Participant 4266.5282.5269.3211.3273.2273.2281.8288.9303.5
 Participant 5235.6357.3303.4266.3370.2371.0380.3383.3292.8
 Participant 6390.3339.2326.4365.6345.0391.1361.0367.2293.5
 Participant 7458.5359.2388.9391.3457.1403.7435.9292.2152.0
 Participant 8979.9783.21090.71038.71149.4995.5514.51199.1232.5
 Participant 9283.6273.1298.3219.5214.5253.992.5191.2288.2
 Participant 10235.0230.0184.1133.1197.8255.6102.5171.7252.5
 Participant 11224.0217.1175.6176.5294.8340.5310.9325.0270.5
 Participant 12224.0211.5262.7236.0235.7272.9313.5347.2
 Participant 13134.9120.9156.9181.4177.6148.7130.4140.0130.4
 Participant 14157.5165.6213.5279.1261.3279.1353.3301.5110.1
 Participant 15130.4207.0181.4258.7180.5181.4208.6119.786.7
 Participant 16195.5206.1189.0185.3236.5140.0188.6187.4119.7
 Mean295.0 ± 216.8283.9 ± 159.9303.1 ± 236.7296.2 ± 225.2326.6 ± 250.5319.3 ± 213.3278.6 ± 126.7320.6 ± 267.7218.7 ± 85.1
IL-2, mg⋅dL–1
 Participant 1
 Participant 2
 Participant 3357.7415.8404.0427.9391.4372.8383.6346.9496.5
 Participant 4516.6520.9520.9458.0512.6512.6508.7509.8540.0
 Participant 5469.6622.8579.4538.8614.5540.9638.4642.9566.8
 Participant 6593.4570.9473.1558.7599.2546.0532.2570.5388.6
 Participant 7578.5553.5540.0441.5581.1599.6578.5528.6425.1
 Participant 8765.0740.8856.81055.4940.7939.4616.21047.8541.1
 Participant 9650.6671.3670.4651.6674.4739.6300.4494.2589.7
 Participant 10280.3290.8224.2251.6298.1224.2398.8
 Participant 11375.1268.2260.9188.9268.2412.4375.7431.6451.8
 Participant 12398.8398.3417.0375.1407.1441.8519.6591.0
 Participant 13250.5220.6278.4259.8240.8240.8220.0250.5230.7
 Participant 14322.3313.7287.7292.2296.3312.9296.3278.4287.7
 Participant 15240.4260.2287.7278.4287.1296.6275.7220.0208.7
 Participant 16333.2330.7313.7287.1354.7320.9278.7322.3285.8
 Mean438.0 ± 161.4441.3 ± 170.2436.7 ± 182.4447.2 ± 227.0458.5 ± 204.1469.6 ± 195.1424.9 ± 145.8461.3 ± 221.7416.2 ± 130.2
TNF-α, mg⋅dL–1
 Participant 1
 Participant 2
 Participant 3136.7167.9146.0168.6142.8139.5107.6126.8180.6
 Participant 4208.2209.4226.8198.1214.4214.4188.7182.8215.9
 Participant 5175.9263.6238.8258.4264.3241.2271.7246.6245.3
 Participant 6230.3215.5197.9208.0257.7223.9209.7231.9136.5
 Participant 7194.3168.4162.6145.7169.2168.9191.2150.0136.5
 Participant 8163.7193.5231.7196.7228.2240.7192.0320.0252.3
 Participant 9260.8269.4291.6235.4286.3291.0121.3197.8275.6
 Participant 10100.1109.884.582.2117.3124.368.592.7138.8
 Participant 11152.0124.383.2117.3190.2158.4194.0158.4
 Participant 12170.7176.5164.4176.7179.4190.7230.3215.0
 Participant 1373.754.878.983.060.259.748.560.248.5
 Participant 1491.178.970.070.082.587.087.265.174.4
 Participant 1536.754.854.849.465.170.075.754.849.4
 Participant 16101.8101.890.778.6109.690.777.674.474.4
 Mean149.7 ± 63.5156.3 ± 70.9151.6 ± 76.4150.1 ± 69.9163.9 ± 72.3166.6 ± 72.7144.9 ± 70.0158.0 ± 82.0152.8 ± 77.9
CD34+ cells⋅μL–1
 Participant 13.58
 Participant 24.55
 Participant 34.54
 Participant 412
 Participant 512
 Participant 663.5
 Participant 733
 Participant 833
 Participant 925
 Participant 1035.5
 Participant 1135.5
 Participant 126.54.5
 Participant 13712
 Participant 1468.5
 Participant 1524.5
 Participant 166.59.5
 Mean3.9 ± 2.05.3 ± 2.8

NOTE. Mean ± standard deviation.

ELISA, enzyme-linked immunosorbent assay; IL, interleukin; IL-1ra, interleukin-1 receptor antagonist; TNF-α, tumor necrosis factor-α.

Fig 3

The graphed trends of the mean and standard deviation of CD34+ pre- and postexercise session.

Results at Each Time Point NOTE. Mean ± standard deviation. WBC, white blood cells. Significant increase from PRE. Significant decrease from PRE. Flow Cytometry and ELISA Results at Each Time Point NOTE. Mean ± standard deviation. ELISA, enzyme-linked immunosorbent assay; IL, interleukin; IL-1ra, interleukin-1 receptor antagonist; TNF-α, tumor necrosis factor-α. The graphed trends of the mean and standard deviation of CD34+ pre- and postexercise session. There was a significant decrease in neutrophils (47.8 ± 6.6 to 42.0 ± 9.1%, Mdiff = –5.8%, P = .001) and an increase in lymphocytes (38.3 ± 6.5 to 44.3 ± 9.0%, Mdiff = 6.0%, P = .001) initially from PRE out to T20. From T60 to T180, however, there was a significant increase in neutrophils T60 (53.1 ± 7.7%, Mdiff = 5.3%, P < .001), T90 (60.8 ± 6.1%, Mdiff = 13.0%, P < .001), T120 (66.6 ± 7.5%, Mdiff = 18.8%, P < .001), T150 (67.8 ± 8.7%, Mdiff = 20.0%, P < .001), T180 (68.0 ± 9.3%, Mdiff = 20.2, P < .001). Conversely, there was an observed decrease in the peripheral lymphocyte levels during the same time period T60 (33.2 ± 6.6%, Mdiff = –5.1%, P < .001), T90 (27.1 ± 4.6%, Mdiff = –11.2%, P < .001), T120 (23.3 ± 6.2%, Mdiff = –15.0%, P < .001), T150 (22.3 ± 7.7%, Mdiff = –16.0%, P < .001), and T180 (22.8 ± 7.7%, Mdiff = –15.5%, P < .001). Monocytes significantly decreased from PRE to T90 (9.8 ± 1.1 to 8.9 ± 1.1 K/μL, Mdiff = –0.95 k/μL, P < .001) and T120 (8.2 ± 1.5 K/μL, Mdiff = –1.6 k/μL, P < .0001). There was a significant increase in CD34+ (3.9 ± 2.0 to 5.3 ± 2.8 cells⋅μL–1, Mdiff = 1.40, P < .001) from PRE to T20 postexercise session. There were no significant differences in measured cytokine levels, i.e., IL-10, IL-6, IL-1ra, TNF-α, or IL-2, from PRE to any time point postexercise session.

Discussion

The exercise protocol resulted in a significant elevation of WBCs with more specific analysis, suggesting an increase in peripheral HPCs, as noted in the rise of CD34+ counts and lymphocytes as noted by an automated hemocytometer. Peripheral platelet levels also immediately elevated following the exercise session. The increase in platelets we observed following the exercise session was only at time point T20 before it significantly decreased and ultimately reached near normal values 24 hours following the exercise session. This observation may illustrate a physiologic overcompensation as the individual’s systemic balance affects a return to homeostasis. No discernable effect upon cytokines of interest to orthopaedics, specifically regarding inflammation and cell production, was observed. WBC counts were examined because they are reflective of the peripheral increase of progenitor cells with stem potential. Immature cells with stem potential have one nucleus and may be read as lymphocytes or monocytes by an automated hematology analyzer. There was a significant increase in lymphocytes, and conversely, a significant decrease in average neutrophils immediately following the exercise session. The significant rise in lymphocytes and converse decrease in neutrophils may represent an increase of progenitor cells, which were registered as lymphocytes by the automated processing that was used for the CBC analysis; however, the peripheral changes we observed with respect to the leukocytes are also consistent with postexercise changes noted in previous studies.14, 15, 16, 17 The converse swing we noted between the neutrophils and lymphocytes likely represents physiologic overcorrection following the exercise session as the body attempts to reachieve homeostasis, similar to the platelets. Previous literature has demonstrated increased cytokine levels as an acute response to exercise.18, 19, 20 We chose IL-10, IL-6, GM-CSF, IL-1ra, TNF-α, or IL-2, as the majority of these are associated with the balance of homeostasis and inflammation with joint, and GM-CSF is a potentiator of mononuclear cells., We found no significant changes in levels at any time point from PRE to 24 hours postexercise session. Ultimately, this finding may be directly attributed to the systemic stress minimizing effects of using the Vasper system during exercise. The short-time duration of exercise also could have attributed to the lack of acute cytokine level changes that were observed. Previous studies that have found significant changes in circulating cytokine levels have focused on multiple exercises, longer endurance training sessions, and were generally carried out over longer periods of time than our study.19, 20, 21 Our results, however, are consistent with previous studies that did not find a significant change in cytokine levels following exercise., Patient demographics in these studies also varied widely, however, and many times were not reflective of the participants in our study. Ultimately expanding the cytokine and growth factor analysis to include IL-3, monocyte chemoattractant protein-1, insulin-like growth factor-1, insulin-like growth factor-2, growth hormone, sIL-1R, and soluble tumor necrosis factor receptors may provide further data of the Vasper system on both pro- and anti-inflammatory cytokines and growth factors. In addition, it is important to consider the individual variability in blood levels as well as the variability in blood levels at different time points in the same individual. The Vasper system was designed to produce high-intensity anaerobic exercise with a low impact on joints. The NuStep is frequently used in rehabilitation because its low-impact nature of exercise, which patients with lower-extremity orthopaedic impairments can tolerate. The blood flow restriction and cooling properties of the Vasper system provide additional modalities to increase the intensity of exercise. A cellular response of increased peripheral CD34+ and platelets was observed following exercise with the Vasper system. If available, it may be used as a way to manipulate point-of-care blood products, especially the yield of platelet-rich plasma immediately following exercise. Anz et al. reported that vigorous exercise for 20 minutes increased the concentration of platelets in whole blood by more than 20% and in buffy coat–based platelet-rich plasma and autologous condition plasma point-of-care products. Buffy coat–based platelet-rich plasma also had significantly increased HPCs from 1.7/mL to 2.7/mL following exercise. Bone marrow aspiration and peripheral bloodstream harvest after pharmaceutical mobilization represent 2 of the current methods for collecting HPCs., Pharmaceutical mobilization followed by apheresis can produce large volumes of peripheral blood–derived stem cells with 600 thousand HPCs per milliliter and 2.32 million perivascular stem cells per milliliter of tissue collected. Although HPCs hold promise for a variety of orthopaedic applications, it has yet to be determined what is the optimal collection technique., Both bone marrow aspiration and pharmaceutical mobilization have limitations in their application to widespread clinical use. Exercise could be a potentially less-invasive method to mobilize stem cells to optimize the physiology of recovering orthopaedic patients as well as to manipulate point-of-care blood and bone marrow products in orthopaedics. Previous literature has also demonstrated variability in platelet product yield among commercially available platelet rich plasma kits. The Vasper system may be potentially leveraged as a way to increase peripheral platelet release prior to blood draw to improve the platelet-rich plasma yield that would be administered, as exercise in itself has already been found as a method to manipulate these products.

Limitations

Flow cytometry was used to investigate CD34+ levels only at the time point T20 due to the cost and time associated with using flow cytometry for every time point. We hypothesized that measuring levels immediately postexercise would give the best single point of data on whether peripheral levels of CD34+ increased following the Vasper exercise session. This limits knowledge regarding whether CD34+ levels remained elevated, decreased, or returned to baseline in the immediate postexercise window and up to 24 hours later. Only healthy, male participants were included in this study; thus, the results may not be generalizable to other individuals. Another limitation of this study includes the lack of a control group to identify whether the postexercise systemic cellular changes noted were the result of the exercise stimulus alone or if the exercise stimulus with the Vasper system would produce different results. It is possible that similar cellular changes would have occurred with the same exercise protocol that did not include compression and cooling. This study was self-funded, and the costs associated with performing flow cytometry and ELISA testing limited our ability to include a control session to the protocol. Another limitation is that although the amount of pressure applied by the cuffs on the arms and legs was the same for each participant, varying levels of occlusion may have occurred between participants based on their blood pressure and limb girth.

Conclusions

A significant elevation of peripheral blood CD34+ and platelet levels immediately following the exercise session was observed; however, there was no effect upon peripheral circulation of IL-10, IL-6, GM-CSF, IL-1ra, TNF-α, or IL-2.
  27 in total

1.  Acute exercise mobilizes hematopoietic stem and progenitor cells and alters the mesenchymal stromal cell secretome.

Authors:  Russell Emmons; Grace M Niemiro; Olatomide Owolabi; Michael De Lisio
Journal:  J Appl Physiol (1985)       Date:  2016-01-07

2.  Lymphocytes and monocytes egress peripheral blood within minutes after cessation of steady state exercise: A detailed temporal analysis of leukocyte extravasation.

Authors:  Bridgette V Rooney; Austin B Bigley; Emily C LaVoy; Mitzi Laughlin; Charles Pedlar; Richard J Simpson
Journal:  Physiol Behav       Date:  2018-06-07

3.  Exercise-Mobilized Platelet-Rich Plasma: Short-Term Exercise Increases Stem Cell and Platelet Concentrations in Platelet-Rich Plasma.

Authors:  Adam W Anz; Ronna S Parsa; Maria F Romero-Creel; Abigail Nabors; Melissa S Tucker; Robert M Harrison; Andrea M Matuska
Journal:  Arthroscopy       Date:  2019-01       Impact factor: 4.772

Review 4.  Efficacy of Intra-articular Platelet-Rich Plasma Injections in Knee Osteoarthritis: A Systematic Review.

Authors:  Carlos J Meheux; Patrick C McCulloch; David M Lintner; Kevin E Varner; Joshua D Harris
Journal:  Arthroscopy       Date:  2015-10-01       Impact factor: 4.772

5.  Physical activity and plasma interleukin-6 in humans--effect of intensity of exercise.

Authors:  K Ostrowski; P Schjerling; B K Pedersen
Journal:  Eur J Appl Physiol       Date:  2000-12       Impact factor: 3.078

Review 6.  Umbilical Cord Tissue Offers the Greatest Number of Harvestable Mesenchymal Stem Cells for Research and Clinical Application: A Literature Review of Different Harvest Sites.

Authors:  C Thomas Vangsness; Hal Sternberg; Liam Harris
Journal:  Arthroscopy       Date:  2015-09       Impact factor: 4.772

7.  Safety and efficacy of hematopoietic stem cell collection from mobilized peripheral blood in unrelated volunteers: 12 years of single-center experience in 3928 donors.

Authors:  Kristina Hölig; Michael Kramer; Frank Kroschinsky; Martin Bornhäuser; Thilo Mengling; Alexander H Schmidt; Claudia Rutt; Gerhard Ehninger
Journal:  Blood       Date:  2009-08-07       Impact factor: 22.113

8.  Articular cartilage regeneration with autologous peripheral blood stem cells versus hyaluronic acid: a randomized controlled trial.

Authors:  Khay-Yong Saw; Adam Anz; Caroline Siew-Yoke Jee; Shahrin Merican; Reza Ching-Soong Ng; Sharifah A Roohi; Kunaseegaran Ragavanaidu
Journal:  Arthroscopy       Date:  2013-02-04       Impact factor: 4.772

Review 9.  Exercise and training: influences on cytotoxicity, interleukin-1, interleukin-2 and receptor structures.

Authors:  R J Shephard; S Rhind; P N Shek
Journal:  Int J Sports Med       Date:  1994-10       Impact factor: 3.118

Review 10.  The cytokine response to physical activity and training.

Authors:  A I Moldoveanu; R J Shephard; P N Shek
Journal:  Sports Med       Date:  2001-02       Impact factor: 11.136

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Authors:  Mark C Callanan; Hillary A Plummer; T Meares Green; Tyler Opitz; Thaddeus Broderick; Nicole Rendos; Adam W Anz
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-02-11
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