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Opinion

Mining the Mesenchymal Stromal Cell Secretome in Patients with Chronic Left Ventricular Dysfunction

by
Jacquelynn Morrissey
,
Fernanda C. P. Mesquita
,
Lourdes Chacon-Alberty
and
Camila Hochman-Mendez
*
Department of Regenerative Medicine Research, Texas Heart Institute, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Cells 2022, 11(13), 2092; https://doi.org/10.3390/cells11132092
Submission received: 25 May 2022 / Revised: 22 June 2022 / Accepted: 29 June 2022 / Published: 30 June 2022
(This article belongs to the Special Issue Cell-Based Therapy of Cardiovascular Diseases)

Abstract

:
Close examination of the initial results of cardiovascular cell therapy clinical trials indicates the importance of patient-specific differences on outcomes and the need to optimize or customize cell therapies. The fields of regenerative medicine and cell therapy have transitioned from using heterogeneous bone marrow mononuclear cells (BMMNCs) to mesenchymal stromal cells (MSCs), which are believed to elicit benefits through paracrine activity. Here, we examined MSCs from the BMMNCs of heart failure patients enrolled in the FOCUS-CCTRN trial. We sought to identify differences in MSCs between patients who improved and those who declined in heart function, regardless of treatment received. Although we did not observe differences in the cell profile of MSCs between groups, we did find significant differences in the MSC secretome profile between patients who improved or declined. We conclude that “mining” the MSC secretome may provide clues to better understand the impact of patient characteristics on outcomes after cell therapy and this knowledge can inform future cell therapy trials.

Introduction

Over the last three decades, cell therapy has become a mainstay of regenerative medicine research. Positive treatment results in small and large animal models of myocardial infarction and heart failure generated excitement about the ability of autologous cells to repair the heart [1,2]. The safety of cell therapy has been shown in several clinical trials; however, the effectiveness of this therapy has been inconsistent [3]. In studying the effect of cell therapy on outcomes, researchers have examined cell preparation methods, cell potency and mechanisms [4], and patient characteristics [5,6]. Samples from cell therapy clinical trials stored in biorepository programs enable “bedside-to-bench” studies, which can lead to mechanistic insights and more effective cell-based treatments. As the limitations of heterogeneous bone marrow mononuclear cell (BMMNC) populations used in earlier cardiovascular clinical trials are now better understood, mesenchymal stromal cells (MSCs) are currently the leading candidate for cell therapy [7]. Here, we examined MSCs from BMMNCs of patients enrolled in the FOCUS-CCTRN trial to identify any differences in cells between individuals who improved or declined clinically in the trial, regardless of treatment received.
In most cell therapy trials for heart failure, endpoint outcome evaluations have shown limited to no benefit of cell treatment. However, access to patients’ baseline cell populations stored in biorepositories has opened new avenues of investigation into the effect of intrinsic patient characteristics on the response to therapy. One such embedded cohort study was conducted on cells from patients in the FOCUS-CCTRN trial to identify intrinsic differences between patients who improved in three cardiac function indicators (increase in left ventricular ejection fraction [LVEF] and maximal oxygen consumption [VO2max] and decrease in left ventricular end systolic volume [LVESV] at day 180 compared to the baseline values; n = 17, improvers) and those who did not improve (decrease in LVEF and VO2max and increase in LVESV at day 180 compared to the baseline values; n = 11, non-improvers) (Table 1), regardless of treatment received [5]. The FOCUS-CCTRN trial was a first-generation, multicenter, randomized trial that examined the use of autologous BMMNCs in patients with chronic ischemic heart failure (Table 2) [8]. Patients who demonstrated improvements in all three functional criteria listed above were deemed improvers, whereas those who exhibited decline in all three variables were considered non-improvers. The results showed that improvers had a higher expression of B-cell and CXCR4+ BMNNCs at baseline (Table 1). Furthermore, improvers also had fewer endothelial colony-forming cells, as quantified by endothelial colony-forming cell and CFU-Hill in their bone marrow as compared to non-improvers. Findings from this cohort analysis suggested that intrinsic patient characteristics may be critical to deriving clinical benefit from cell therapy [5].
Using whole BMMNCs to treat chronic ischemic heart disease has shown limited to mixed results [10,11], but isolating specific fractions of BMMNCs to enrich cell products for therapeutic use may be a cost-efficient and relatively simple procedure to improve outcomes [12]. BMMNCs comprise diverse cell populations, including immune cells, monocytes, and various progenitor cells, of which MSCs constitute up to 0.02% [13,14]. MSCs are also part of the resident stromal cell populations in various tissues [15], and despite comprising only a small portion of BMMNCs, they contribute significantly to cardiovascular repair by secreting various growth factors and protective molecules into the local microenvironment [14]. Considering the therapeutic potential of MSCs and knowing that clinical improvers and non-improvers are inherently different at baseline, we sought to characterize any differences in MSCs from patients who had different clinical outcomes in the FOCUS-CCTRN trial. We selected 3 of the 17 patients from the improver cohort and 3 of the 11 from the non-improver group who had BMMNCs cryopreserved in our biorepository. Subjects were matched by age and comorbidities (Table 3).
Although BMMNCs from patients in the FOCUS-CCTRN trial had been cryopreserved in biorepositories for nearly a decade, we were able to thaw the samples and isolate and expand the MSCs in vitro for up to 10 passages (n = 3 improvers and n = 3 non-improvers). MSCs from both clinical improvers and non-improvers retained the characteristic immunophenotype as determined by flow cytometry, and their ability to direct differentiation of patient MSCs into adipocytes, osteocytes, and chondrocytes was not impaired by clinical status (Figure 1A, C, and D). Because cell senescence is known to inhibit cell plasticity [16], we evaluated the telomere length of improver and non-improver MSCs at passage 5; no significant difference was observed between groups (Figure 1B). Notably, MSCs derived from FOCUS-CCTRN patients showed no phenotypic or characteristic differences from MSCs of healthy donors [17,18].
The potential benefits of MSCs in tissue repair are attributed to paracrine actions resulting from the biologically active molecules secreted in response to the local environment. This was confirmed when conditioned medium from MSCs was shown to repair and protect damaged myocardium in infarct models [12]. MSCs’ diverse secretome includes growth factors, nucleic acids, and exosomes, which are released into the injured microenvironment [19]. In recent years, MSC-derived exosomes (EXO-MSC), specifically their microRNA cargo, have been extensively examined in MSC-based cell therapy for heart repair [20]. Preclinical data suggest that exosomal microRNA contributes to cardioprotection [21].
In the setting of cardiac infarct, microRNA-containing EXO-MSCs regulate immune cell activation and inflammation [22] while also mitigating the effects of hypoxia-induced apoptosis [23]. Specifically, miR-4732-3p, which was upregulated among the improver cohort in this study, exerts protection through its effects on various cardiac cell types, limiting fibrosis, enhancing angiogenesis, and insulating cardiomyocytes against reactive oxygen species and cell death [24].
To examine if EXO-MSC content was associated with the positive outcomes in the improver cohort, we performed microRNA sequencing of EXO isolated from cell supernatant of both improvers (n = 3) and non-improvers (n = 3). After preparing the libraries, we pooled the microRNA and sequenced it using the NextSeq 500 (Illumina). Using edgeR, we identified 16 upregulated and 12 downregulated microRNAs in improvers versus non-improvers (Table 4). Additionally, we identified 1968 target genes associated with overexpressed microRNA and enrichment analysis using the Reactome database, which showed 74 statistically significant pathways (adjusted p value < 0.05); these pathways included the VEGFA-VEGFR2 pathway (yellow dots), cellular responses to stress (green dots), programmed cell death (red dots), and signaling by SCF-KIT (blue dots) (Figure 2A). When analyzing the under-expressed microRNA (Figure 2B), 976 target genes were associated with these microRNAs and the enrichment analysis showed 100 statistically significant pathways, including downregulation of the immune system (yellow dots), TGF-beta receptor signaling (green dots), and VEGFR2-mediated regulation (red dots). Since we normalized the data for possible confounders, we assumed that the differences observed in EXO-MSCs were not related to patient demographics (Table 3), suggesting an intrinsic differential effect of EXO between the groups. Further study into the significance of these pathways in patients with chronic ischemic heart disease is necessary to understand the beneficial effects of MSC paracrine activity.
Reevaluation of the data from first-generation clinical trials suggests the importance of differences in baseline patient characteristics. Updates to refine the phenotypic characterization of MSCs [25] and enhance cell product uniformity have been made in recent years. Nonetheless, the traditional release criteria for the clinical use of MSCs hinge on the 2006 International Society of Stem Cell Research (ISSCR) standards related to immunophenotypic markers, plastic adherence, in addition to tripotential differentiation into the adipogenic, osteogenic, and chondrogenic lineages [26]. However, our data indicate that traditional cell characterization using these ISSCR standards falls short of indicating factors that may prove useful in discerning patient outcomes. More importantly, our results suggest that the EXO-MSC of improvers in the FOCUS-CCTRN trial contained microRNAs related to various signaling pathways and cell structure components that were lacking in non-improver patients. Thus, the MSC secretome may provide important clues to help understand the mechanisms of cardiac repair in the setting of ischemic heart disease and may help to explain why patients experience different clinical outcomes. Furthermore, the secretome may be a relevant parameter to include in MSC release criteria, substantiating current efforts to alleviate inconsistencies regarding the impact of cell therapy, which may be attributable to non-rigorous cell sourcing/definition or donor characteristics [25,27,28].
Although early cardiovascular clinical trials did not consistently show benefit from cell therapy, examining samples from biorepositories via emerging techniques such as microRNA sequencing can help identify key differences between patient cell cargo that may provide insight for future clinical trial design. Combining the knowledge of basic research with detailed clinical features of patients can help to deliver the promise of personalized medicine in cell therapy.

Author Contributions

Conceptualization, J.M., F.C.P.M. and C.H.-M.; formal analysis, J.M., F.C.P.M., L.C.-A.; investigation, J.M., F.C.P.M., L.C.-A.; writing—original draft preparation, J.M., F.C.P.M., L.C.-A. and C.H.-M.; writing—review and editing, J.M., F.C.P.M., L.C.-A., C.H.-M.; visualization, J.M., F.C.P.M.; supervision, F.C.P.M., C.H.-M.; project administration, C.H.-M.; funding acquisition, C.H.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Heart, Lung, and Blood Institute grant number 5R21HL144244-02.

Institutional Review Board Statement

The studies involving human participants were reviewed and approved by the FOCUS-CCTRN trial administrators and were monitored by the NHLBI-sponsored Gene and Cell Therapy Data and Safety Monitoring Board. The BRC protocol was approved by the committee for the protection of human subjects at the University of Texas Health Science Center at Houston.

Informed Consent Statement

Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors would like to acknowledge Kimberly Macellaro, of the Department of Regenerative Medicine Research, and Rebecca Bartow, of the Department of Scientific Publications at the Texas Heart Institute for editorial assistance.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, J.; Bolli, R.; Garry, D.J.; Marban, E.; Menasche, P.; Zimmermann, W.H.; Kamp, T.J.; Wu, J.C.; Dzau, V.J. Basic and Translational Research in Cardiac Repair and Regeneration: JACC State-of-the-Art Review. J. Am. Coll. Cardiol. 2021, 78, 2092–2105. [Google Scholar] [CrossRef] [PubMed]
  2. La Mantia, D.; Bernardini, C.; Zannoni, A.; Salaroli, R.; Wang, C.; Bencivenni, S.; Forni, M. Efficacy of Stem Cell Therapy in Large Animal Models of Ischemic Cardiomyopathies: A Systematic Review and Meta-Analysis. Animals 2022, 12, 749. [Google Scholar] [CrossRef] [PubMed]
  3. Banerjee, M.N.; Bolli, R.; Hare, J.M. Clinical Studies of Cell Therapy in Cardiovascular Medicine: Recent Developments and Future Directions. Circ. Res. 2018, 123, 266–287. [Google Scholar] [CrossRef] [PubMed]
  4. Ntege, E.H.; Sunami, H.; Shimizu, Y. Advances in regenerative therapy: A review of the literature and future directions. Regen. Ther. 2020, 14, 136–153. [Google Scholar] [CrossRef]
  5. Taylor, D.A.; Perin, E.C.; Willerson, J.T.; Zierold, C.; Resende, M.; Carlson, M.; Nestor, B.; Wise, E.; Orozco, A.; Pepine, C.J.; et al. Cardiovascular Cell Therapy Research N. Identification of Bone Marrow Cell Subpopulations Associated with Improved Functional Outcomes in Patients with Chronic Left Ventricular Dysfunction: An Embedded Cohort Evaluation of the FOCUS-CCTRN Trial. Cell Transplant. 2016, 25, 1675–1687. [Google Scholar] [CrossRef] [Green Version]
  6. Alberty, C.L.; Perin, E.C.; Willerson, J.T.; Gahremanpour, A.; Bolli, R.; Yang, P.C.; Traverse, J.H.; Lai, D.; Pepine, C.J.; Taylor, D.A. Peripheral Blood Biomarkers Associated with Improved Functional Outcome in Patients with Chronic Left Ventricular Dysfunction: A Biorepository Evaluation of the FOCUS-CCTRN Trial. Front. Cardiovasc. Med. 2021, 8, 698088. [Google Scholar] [CrossRef]
  7. Bolli, R.; Mitrani, R.D.; Hare, J.M.; Pepine, C.J.; Perin, E.C.; Willerson, J.T.; Traverse, J.H.; Henry, T.D.; Yang, P.C.; Murphy, M.P.; et al. Cardiovascular Cell Therapy Research N. A Phase II study of autologous mesenchymal stromal cells and c-kit positive cardiac cells, alone or in combination, in patients with ischaemic heart failure: The CCTRN CONCERT-HF trial. Eur. J. Heart Fail. 2021, 23, 661–674. [Google Scholar] [CrossRef]
  8. Perin, E.C.; Willerson, J.T.; Pepine, C.J.; Henry, T.D.; Ellis, S.G.; Zhao, D.X.; Silva, G.V.; Lai, D.; Thomas, J.D.; Kronenberg, M.W.; et al. Cardiovascular Cell Therapy Research N. Effect of transendocardial delivery of autologous bone marrow mononuclear cells on functional capacity, left ventricular function, and perfusion in chronic heart failure: The FOCUS-CCTRN trial. JAMA 2012, 307, 1717–1726. [Google Scholar] [CrossRef] [Green Version]
  9. Willerson, J.T.; Perin, E.C.; Ellis, S.G.; Pepine, C.J.; Henry, T.D.; Zhao, D.X.; Lai, D.; Penn, M.S.; Byrne, B.J.; Silva, G.; et al. Cardiovascular Cell Therapy Research N. Intramyocardial injection of autologous bone marrow mononuclear cells for patients with chronic ischemic heart disease and left ventricular dysfunction (First Mononuclear Cells injected in the US [FOCUS]): Rationale and design. Am. Heart J. 2010, 160, 215–223. [Google Scholar]
  10. Nigro, P.; Bassetti, B.; Cavallotti, L.; Catto, V.; Carbucicchio, C.; Pompilio, G. Cell therapy for heart disease after 15 years: Unmet expectations. Pharmacol. Res. 2018, 127, 77–91. [Google Scholar] [CrossRef]
  11. Liu, C.; Han, D.; Liang, P.; Li, Y.; Cao, F. The Current Dilemma and Breakthrough of Stem Cell Therapy in Ischemic Heart Disease. Front. Cell Dev. Biol. 2021, 9, 636136. [Google Scholar] [CrossRef] [PubMed]
  12. Liang, X.; Ding, Y.; Zhang, Y.; Tse, H.F.; Lian, Q. Paracrine mechanisms of mesenchymal stem cell-based therapy: Current status and perspectives. Cell Transplant. 2014, 23, 1045–1059. [Google Scholar] [CrossRef] [Green Version]
  13. Vahidy, F.S.; Rahbar, M.H.; Zhu, H.; Rowan, P.J.; Bambhroliya, A.B.; Savitz, S.I. Systematic Review and Meta-Analysis of Bone Marrow-Derived Mononuclear Cells in Animal Models of Ischemic Stroke. Stroke 2016, 47, 1632–1639. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Alvarez-Viejo, M.; Menendez-Menendez, Y.; Blanco-Gelaz, M.A.; Ferrero-Gutierrez, A.; Fernandez-Rodriguez, M.A.; Gala, J.; Otero-Hernandez, J. Quantifying mesenchymal stem cells in the mononuclear cell fraction of bone marrow samples obtained for cell therapy. Transplant. Proc. 2013, 45, 434–439. [Google Scholar] [CrossRef] [PubMed]
  15. Ullah, I.; Subbarao, R.B.; Rho, G.J. Human mesenchymal stem cells—current trends and future prospective. Biosci. Rep. 2015, 35, e00191. [Google Scholar] [CrossRef]
  16. Zhou, X.; Hong, Y.; Zhang, H.; Li, X. Mesenchymal Stem Cell Senescence and Rejuvenation: Current Status and Challenges. Front. Cell Dev. Biol. 2020, 8, 364. [Google Scholar] [CrossRef]
  17. Samsonraj, R.M.; Raghunath, M.; Hui, J.H.; Ling, L.; Nurcombe, V.; Cool, S.M. Telomere length analysis of human mesenchymal stem cells by quantitative PCR. Gene 2013, 519, 348–355. [Google Scholar] [CrossRef] [PubMed]
  18. Dzobo, K. Recent Trends in Multipotent Human Mesenchymal Stem/Stromal Cells: Learning from History and Advancing Clinical Applications. OMICS 2021, 25, 342–357. [Google Scholar] [CrossRef] [PubMed]
  19. Ahangar, P.; Mills, S.J.; Cowin, A.J. Mesenchymal Stem Cell Secretome as an Emerging Cell-Free Alternative for Improving Wound Repair. Int. J. Mol. Sci. 2020, 21, 7038. [Google Scholar] [CrossRef] [PubMed]
  20. Wang, K.; Jiang, Z.; Webster, K.A.; Chen, J.; Hu, H.; Zhou, Y.; Zhao, J.; Wang, L.; Wang, Y.; Zhong, Z.; et al. Enhanced Cardioprotection by Human Endometrium Mesenchymal Stem Cells Driven by Exosomal MicroRNA-21. Stem. Cells Transl. Med. 2017, 6, 209–222. [Google Scholar] [CrossRef]
  21. Meng, H.; Cheng, W.; Wang, L.; Chen, S.; Teng, Y.; Lu, Z.; Li, Y.; Zhao, M. Mesenchymal Stem Cell Exosomes in the Treatment of Myocardial Infarction: A Systematic Review of Preclinical In Vivo Studies. J. Cardiovasc. Transl. Res. 2022, 15, 317–339. [Google Scholar] [CrossRef]
  22. Zhao, J.; Li, X.; Hu, J.; Chen, F.; Qiao, S.; Sun, X.; Gao, L.; Xie, J.; Xu, B. Mesenchymal stromal cell-derived exosomes attenuate myocardial ischaemia-reperfusion injury through miR-182-regulated macrophage polarization. Cardiovasc. Res. 2019, 115, 1205–1216. [Google Scholar] [CrossRef] [Green Version]
  23. Cheng, H.; Chang, S.; Xu, R.; Chen, L.; Song, X.; Wu, J.; Qian, J.; Zou, Y.; Ma, J. Hypoxia-challenged MSC-derived exosomes deliver miR-210 to attenuate post-infarction cardiac apoptosis. Stem. Cell Res. Ther. 2020, 11, 224. [Google Scholar] [CrossRef] [PubMed]
  24. Sanchez-Sanchez, R.; Gomez-Ferrer, M.; Reinal, I.; Buigues, M.; Villanueva-Badenas, E.; Ontoria-Oviedo, I.; Hernandiz, A.; Gonzalez-King, H.; Peiro-Molina, E.; Dorronsoro, A.; et al. miR-4732-3p in Extracellular Vesicles From Mesenchymal Stromal Cells Is Cardioprotective During Myocardial Ischemia. Front. Cell Dev. Biol. 2021, 9, 734143. [Google Scholar] [CrossRef] [PubMed]
  25. Viswanathan, S.; Shi, Y.; Galipeau, J.; Krampera, M.; Leblanc, K.; Martin, I.; Nolta, J.; Phinney, D.G.; Sensebe, L. Mesenchymal stem versus stromal cells: International Society for Cell & Gene Therapy (ISCT(R)) Mesenchymal Stromal Cell committee position statement on nomenclature. Cytotherapy 2019, 21, 1019–1024. [Google Scholar] [PubMed]
  26. Dominici, M.; Le Blanc, K.; Mueller, I.; Slaper-Cortenbach, I.; Marini, F.; Krause, D.; Deans, R.; Keating, A.; Prockop, D.; Horwitz, E. Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement. Cytotherapy 2006, 8, 315–317. [Google Scholar] [CrossRef]
  27. Agarwal, U.; George, A.; Bhutani, S.; Ghosh-Choudhary, S.; Maxwell, J.T.; Brown, M.E.; Mehta, Y.; Platt, M.O.; Liang, Y.; Sahoo, S.; et al. Experimental, Systems, and Computational Approaches to Understanding the MicroRNA-Mediated Reparative Potential of Cardiac Progenitor Cell-Derived Exosomes From Pediatric Patients. Circ. Res. 2017, 120, 701–712. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Del Fattore, A.; Luciano, R.; Saracino, R.; Battafarano, G.; Rizzo, C.; Pascucci, L.; Alessandri, G.; Pessina, A.; Perrotta, A.; Fierabracci, A.; et al. Differential effects of extracellular vesicles secreted by mesenchymal stem cells from different sources on glioblastoma cells. Expert. Opin. Biol. Ther. 2015, 15, 495–504. [Google Scholar] [CrossRef]
Figure 1. Characterization of MSCs derived from BMMNCs of improvers and non-improvers in passage 7 (n = 3). (A) Expression of surface molecules by flow cytometry (n = 3, improvers; n = 3, non-improvers; n = 1, healthy donor). (B) Telomere length of MSCs. (C) Representative images of differentiation capacity of MSC. Adipogenic differentiation showing lipid vacuoles in red (left). Osteogenic differentiation showing calcium deposits in red (middle). Chondrogenic differentiation showing glycosaminoglycans in blue (right). (D) Quantification of trilineage potential of MSC (n = 3).
Figure 1. Characterization of MSCs derived from BMMNCs of improvers and non-improvers in passage 7 (n = 3). (A) Expression of surface molecules by flow cytometry (n = 3, improvers; n = 3, non-improvers; n = 1, healthy donor). (B) Telomere length of MSCs. (C) Representative images of differentiation capacity of MSC. Adipogenic differentiation showing lipid vacuoles in red (left). Osteogenic differentiation showing calcium deposits in red (middle). Chondrogenic differentiation showing glycosaminoglycans in blue (right). (D) Quantification of trilineage potential of MSC (n = 3).
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Figure 2. Network analysis showing the genes associated with differentially expressed microRNA (n = 3). (A) Network analysis showing the genes associated with the overexpressed miRNA and enrichment analysis. (B) Network analysis showing the genes associated with the under-expressed microRNA: immune system and enrichment analysis (yellow dots), downregulation of TGF-beta receptor signaling (green dots), and VEGFR2-mediated regulation (red dots) when comparing improver and non-improver cohorts.
Figure 2. Network analysis showing the genes associated with differentially expressed microRNA (n = 3). (A) Network analysis showing the genes associated with the overexpressed miRNA and enrichment analysis. (B) Network analysis showing the genes associated with the under-expressed microRNA: immune system and enrichment analysis (yellow dots), downregulation of TGF-beta receptor signaling (green dots), and VEGFR2-mediated regulation (red dots) when comparing improver and non-improver cohorts.
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Table 1. FOCUS-CCTRN embedded cohort analysis: Bedside-to-bench outcomes highlight patient subpopulations with distinct BMMNC profiles.
Table 1. FOCUS-CCTRN embedded cohort analysis: Bedside-to-bench outcomes highlight patient subpopulations with distinct BMMNC profiles.
ReferenceClinical Improvers (n = 17)Improver BMMNC
Characteristics
[5]Decreased LVESV, increased VO2 max, and increased LVEFHigher CD19+ B cells, CD11b+ monocytes, CD31dim cells, and CXCR4+ cells; lower CD31bright cells
BMMNC, bone marrow mononuclear cell; LVEF, left ventricular ejection fraction; LVESV, left ventricular end systolic volume.
Table 2. FOCUS-CCTRN trial: Patient demographics, study design, and clinical criteria.
Table 2. FOCUS-CCTRN trial: Patient demographics, study design, and clinical criteria.
ReferenceCategoryCharacteristic
[8,9]Patient demographics (enrollment)Age: ≥18 years old with CAD, LVEF ≤ 45% and limiting angina and/or symptomatic CHF
Study size153 patients consented; 92 randomized to receive treatment, 6 excluded from treatment
Study designRandomized 2:1 for treatment (100 × 106 BMMNCs) vs. control (5% human albumin)
BMMNC isolation techniqueSepax (Ficoll method)
Release criteriaCD34+/CD133+; CFU-GM colony growth
Product deliveryWithin 12 h of bone marrow aspiration
Follow-up6 months after delivery
Primary endpointsLeft ventricular end-systolic volume, maximal oxygen consumption, infarct size
Exploratory outcomesIncreased left ventricular ejection fraction
Table 3. Patient and BMMNC characteristics from samples selected for MSC isolation.
Table 3. Patient and BMMNC characteristics from samples selected for MSC isolation.
CategoryCharacteristicsImprovers (n = 3)Non-Improvers (n = 3)
Patient demographics and primary endpointsAge60.03 ± 5.9267.71 ± 7.96
DiabetesNoNo
HypertensionYesYes
HyperlipidemiaYesYes
SmokingYesYes
LVEF at baseline (%)35.17 ± 13.238.3 ± 7.52
LVEF at endpoint (%)37.67 ± 14.3232.73 ± 8.68
LVESV at baseline (%)103.1 ± 32.1154.4 ± 58.11
LVESV at endpoint (%)128.4 ± 46.32137.4 ± 61.58
BMMNC characteristics (at baseline)Viability (%)99 ± 197.67 ± 0.57
CD34/CD133 (Mean %, p = 0.49)2.291.48
CD19 (Mean %, p = 0.79)11.5113.11
CD11b (Mean %, p = 0.98)62.6262.43
CXCR4 (Mean %, p = 0.86)63.1261.9
CD31dim (Mean %, p = 0.75)9.368.57
CD31bright (Mean %, p = 0.38)0.120.25
BMMNC, bone marrow mononuclear cell; LVEF, left ventricular ejection fraction; LVESV, left ventricular end systolic volume.
Table 4. Mining MSC-derived exosome sequencing: Differential expression of MSC cargo between clinical improvers and non-improvers.
Table 4. Mining MSC-derived exosome sequencing: Differential expression of MSC cargo between clinical improvers and non-improvers.
Over-Expressed Improver miRNAsUnder-Expressed Improver miRNAs
hsa-miR-4680-5phsa-miR-584-3phsa-miR-2681-5phsa-miR-211-5p
hsa-miR-375hsa-miR-7107-3phsa-miR-5093hsa-miR-6729-5p
hsa-miR-32-5phsa-miR-296-5phsa-miR-3168hsa-miR-4449
hsa-miR-4457hsa-miR-6126hsa-miR-6806-3phsa-miR-3922-5p
hsa-miR-3126-5phsa-miR-3151-5phsa-miR-4309hsa-miR-6786-5p
hsa-miR-2110hsa-miR-4732-3phas-miR-019914 has-miR-004153
hsa-miR-29b-2-5phsa-miR-7853-5p
hsa-miR-105-3phsa-miR-4772-5p
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Morrissey, J.; Mesquita, F.C.P.; Chacon-Alberty, L.; Hochman-Mendez, C. Mining the Mesenchymal Stromal Cell Secretome in Patients with Chronic Left Ventricular Dysfunction. Cells 2022, 11, 2092. https://doi.org/10.3390/cells11132092

AMA Style

Morrissey J, Mesquita FCP, Chacon-Alberty L, Hochman-Mendez C. Mining the Mesenchymal Stromal Cell Secretome in Patients with Chronic Left Ventricular Dysfunction. Cells. 2022; 11(13):2092. https://doi.org/10.3390/cells11132092

Chicago/Turabian Style

Morrissey, Jacquelynn, Fernanda C. P. Mesquita, Lourdes Chacon-Alberty, and Camila Hochman-Mendez. 2022. "Mining the Mesenchymal Stromal Cell Secretome in Patients with Chronic Left Ventricular Dysfunction" Cells 11, no. 13: 2092. https://doi.org/10.3390/cells11132092

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