| Literature DB >> 24826895 |
Ulrike Ritz1, Volker Spies1, Isabella Mehling1, Dominik Gruszka1, Pol Maria Rommens1, Alexander Hofmann1.
Abstract
Circulating CD34+ progenitor cells () gained importance in the field of regenerative medicine due to their potential to home in on injury sites and differentiate into cells of both endothelial and osteogenic lineages. In this study, we analyzed the mobilization kinetics and the numbers of CD34+, CD31+, CD45+, and CD133+ cells in twenty polytrauma patients (n = 13 male, n = 7 female, mean age 46.5±17.2 years, mean injury severity score (ISS) 35.8±12.5 points). In addition, the endothelial differentiation capacity of enriched CD34+cells was assessed by analyzing DiI-ac-LDL/lectin uptake, the expression of endothelial markers, and the morphological characteristics of these cells in Matrigel and spheroid cultures. We found that on days 1, 3, and 7 after a major trauma, the number of CD34+cells increased from 6- up to 12-fold (p<0.0001) over the number of CD34+cells from a control population of healthy, age-matched volunteers. The numbers of CD31+ cells were consistently higher on days 1 (1.4-fold, p<0.01) and 7 (1.3-fold, p<0.01), whereas the numbers of CD133+ cell did not change during the time course of investigation. Expression of endothelial marker molecules in CD34+cells was significantly induced in the polytrauma patients. In addition, we show that the CD34+ cell levels in severely injured patients were not correlated with clinical parameters, such as the ISS score, the acute physiology and chronic health evaluation II score (APACHE II), as well as the sequential organ failure assessment score (SOFA-2). Our results clearly indicate that pro-angiogenic cells are systemically mobilized after polytrauma and that their numbers are sufficient for the development of novel therapeutic models in regenerative medicine.Entities:
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Year: 2014 PMID: 24826895 PMCID: PMC4020858 DOI: 10.1371/journal.pone.0097369
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Polytrauma patients recruited to the study.
| Internal patient ID | Age | Gender | ISS | Injury pattern |
| 28 | 55 | m | 43 | TBI, multiple maxillofacial fractures, BCT |
| 29 | 51 | m | 34 | open extremity injuries, severe skin degloving, BCT, TBI |
| 30 | 62 | m | 18 | multiple extremity injuries, BCT |
| 33 | 22 | m | 33 | TBI, BCT, multiple extremity fractures |
| 34 | 20 | m | 42 | BCT, BAI, SR, multiple extremity fractures |
| 37 | 51 | m | 25 | pelvic ring injury, multiple extremity fractures, BAI |
| 46 | 27 | m | 34 | BCT, pelvic ring fracture, extremity fractures |
| 47 | 74 | m | 48 | BAI, stomach and colon rupture, BCT, extremity fractures |
| 52 | 50 | m | 29 | BCT, multiple extremity open fractures, pelvic ring injury |
| 53 | 22 | m | 45 | BCT, BAI, pelvic ring injury, urinary bladder rupture, lumbosacral plexus injury |
| 54 | 26 | m | 34 | BCT, BAI, SR, multiple extremity fractures |
| 56 | 62 | m | 20 | pelvic ring injury, BAI, spine fractures, multiple extremity fractures |
| 57 | 73 | m | 41 | TBI, BCT, multiple extremity fractures |
| 38 | 53 | f | 25 | multiple open extremity injuries, spine injury, BAI |
| 39 | 43 | f | 48 | BAI, BCT, spleen and liver rupture, TBI, extremity fractures |
| 40 | 67 | f | 41 | TBI, BCT, multiple extremity fractures |
| 45 | 31 | f | 75 | TBI, BCT, pelvic ring fracture, multiple extremity fractures |
| 55 | 54 | f | 36 | BCT, pelvic ring fracture, extremity fractures |
| 60 | 51 | f | 34 | TBI, BAI, SR, spine fracture, extremity fractures |
| 61 | 37 | f | 37 | BCT, BAI, SR, LR, stomach rupture, pancreas rupture, multiple extremity fractures |
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TBI: traumatic brain injury; BCT: blunt chest trauma; BAI: blunt abdominal injuries; SR: spleen rupture; LR: liver rupture.
Clinical and laboratory data of the study cohort.
| ST-Group | Control Group | ||||
| male | female | male | female | ||
|
| 45.8±20 | 48.0±12 | 41.9±20.2 | 47.2±17.9 | |
|
| 13 | 7 | 10 | 4 | |
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| 34 (16) | 37 (13) | n.a. | n.a. | |
|
| 0 | 1 | 1 | 1 | |
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| 3 | 1 | 1 | 2 | |
|
| 20.9±27.8 | n.a. | n.a. | ||
|
| 6.6±817 | n.a. | n.a. | ||
|
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| 16.9±4.5 [27.4±12.6%] | |||
|
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| 52.9±15.8 | |||
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| 7.1±4.3 | |||
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| 6.0±4.5 | ||||
|
| 4.7±4.2 | ||||
|
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| 1.4±1.2 | |||
|
| 194.7±93.2 | ||||
|
| 130.9±74.9 | ||||
|
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| 14.4±6.9 | |||
|
| 10.9±4.3 | ||||
|
| 9.1±2.0 | ||||
|
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| 262.4±107.1 | |||
|
| 136.5±64.7 | ||||
|
| 193.2±91.7 | ||||
|
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| 12.3±3.1 | |||
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| 10.1±2.2 | ||||
|
| 9.6±1.5 | ||||
|
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| 36.1±9.0 | |||
|
| 29.2±6.5 | ||||
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| 28.4±4.0 | ||||
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| 3.4±3.2 | |||
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| 2.4±2.3 | ||||
|
| 1.0±0.5 | ||||
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| n.a. | |||
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| 1.4±1.1 | ||||
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| 0.9±1.3 | ||||
RBC: red blood cell concentrate, FFP: fresh-frosen plasma, CRP: C-reactive protein, WBC: white blood cell count, Hb: hemoglobin, PCT: procalcitonin.
Figure 1Representative examples of flow cytometric analyses for CD34 and CD45 surface antigens in a patient with severe trauma on days 1, 3, and 7 after trauma and in an age and gender-matched healthy volunteer (control group).
Purified peripheral blood CD34+ cells served as positive, primary human osteoblasts as negative controls for appropriate gating of cells.
Figure 2Distribution of measurement values in the control group (Contr.) and the group with severe trauma (ST) at days 1 (d1), 3 (d3), and 7 (d7).
The relative numbers (%) of CD34+ (d1, d3, and d7), CD31 (d1 and 7), and CD34+/CD45− cells (d 7) were significantly increased in the ST group during the period of investigation, as compared with the control group (Mann-Whitney-U-test, see Table 3 for p-values). In contrast, the number of CD45+ cells was significantly lower on day seven in the ST group. The total number of CD34+ cells (Table 3) was sufficient for isolation and further culturing procedures.
Percentages of circulating cells detected by flow cytometry in PBMCs.
| ST-Group (%) | Control Group (%) | |||
|
| CD34 |
| 0.03±0.03 | |
| CD31 |
| 49.2±11 | ||
| CD45 | 89.5±9.5 | 95.8±2.1 | ||
| CD34+/CD45- |
| 0.01±0.004 | ||
| CD31+/CD45- | 1.3±0.6 | 1.9±1.3 | ||
| CD133 | 0.14±0.03 | 0.08±0.04 | ||
|
| CD34 |
| ||
| CD31 | 60.5±15 | |||
| CD45 |
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| CD34+/CD45- |
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| CD31+/CD45- | 1.5±0.7 | |||
| CD133 | 0.15±0.08 | |||
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| CD34 |
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| CD31 |
| |||
| CD45 |
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| CD34+/CD45- |
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| CD31+/CD45- | 3.6±2.8 | |||
| CD133 | 0.23±0.13 | |||
Significant differences between the experimental and the control groups are depicted in bold letters (Mann-Whitney-U-test).
Figure 3LDL-lectin and immunofluorescence staining analyses of CD34+-cells a-b: DiI-ac-LDL/lectin double staining of CD34+ cell cultures.
a: control group, b: ST group. c: phase contrast/Hoechst 33258 staining of purified CD34+ST cultures (cell nuclei stained in blue), same picture as d: CD31 (red)/CD34 (green)/Hoechst 33258 (blue) – immunofluorescence staining showing positive reaction with cultured cells. e-f: CD146 (green)/Hoechst 33258 (blue) – immunofluorescence staining showing low cell numbers with positive staining in the control group (e) but positive reactions in cultured cells isolated from patients with severe trauma (f). All scale bars are 100 µm.
Figure 4PCR analysis of endothelial marker molecules CD31, CD34, CD146, and vWF revealed positive gene expression in CD34+ cells at all time points of investigation (a) and quantitative measurement of DiI-ac-LDL/lectin double staining in CD34+ cell cultures (b); distribution of the measurement values.
At all three time points, differences compared to the control group were statistically significant. *p<0.001 (Mann-Whitney-U-test).
Figure 5Numbers of colony forming units of endothelial cells measured five weeks after seeding 1×105 of CD34+ cells purified from PBMCs of healthy volunteers (Control group) and of severe trauma patients 1, 3, and 7 days after trauma.
Figure 6Immunohistological stainings a–d: Morphology of cells cultured on Matrigel, a: control group, b: ST group, c: CD34-depleted cell fraction (negative control), d: HUVEC cells (positive control).
No formation of cord-like structures could be detected in control- and CD34-depleted cell cultures. Formation of cord-like structures was present in the ST group, but to a much lower extent as compared with HUVECs. e–g: Endothelial cell sprouting from carboxymethylcellulose spheroids. No formation of sprouts could be detected in the control group (e) whereas primitive endothelial sprouts were monitored in the ST-group (f). However, these formations were much less compared to HUVEC-sprout formation (g). All scale bars are 100 µm.
Pearson's correlation analysis.
| Pearson's correlation | APACHE II (d1) | ISS (d1) | SOFA (d1) | SOFA (d3) | SOFA (d7) | |
|
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| 0.009 | 0.03 | 0.2 | ||
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| 0.9 | 0.9 | 0.4 | |||
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| 0.6 | 0.22 | 0.3 | ||
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| 0.005 | 0.3 | 0.1 | |||
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| 0.06 | 0.4 | −0.2 | ||
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| 0.8 | 0.05 | 0.4 | |||
At the defined level of α, no statistically significant differences were detected.