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Erythrocytes morphology and hemorheology in severe bacterial infection

Silva, Ayrles FB, Sousa, Jeanlex S, Cunha, Pablyana LR, Lima-Filho, José V, Alencar, Nylane MN, Freitas, Cleverson DT, Oliveira, Claudio LN, Ramos, Marcio V·2019·Memórias do Instituto Oswaldo Cruz

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Fig. 1: effects of bacterial infection on whole blood viscosity and red blood cells (RBCs) morphology. (A) Rheogram (top) and viscosity curve profile (bottom) of blood from healthy and infected animals. Flow curves in the rheogram illustrate shear stress (τ; Pa) vs shear rate (γ; s-1) and viscosity curves illustrate dynamic viscosity (η; Pa*s) vs shear stress (γ; s-1). These data (symbols) are then fitted with the Bingham fluid behaviour (solid lines) to calculate blood rheological parameters (shown in Table I). Error bars are smaller than the symbols. (B-C) Atomic force microscopy images of whole blood from healthy mice. (D-E) Atomic force microscopy images of whole blood from animals infected with Salmonella Typhimurium (107 CFU / mL) whose blood was analysed 24 h post challenge.
Fig. 1: effects of bacterial infection on whole blood viscosity and red blood cells (RBCs) morphology. (A) Rheogram (top) and viscosity curve profile (bottom) of blood from healthy and infected animals. Flow curves in the rheogram illustrate shear stress (τ; Pa) vs shear rate (γ; s-1) and viscosity curves illustrate dynamic viscosity (η; Pa*s) vs shear stress (γ; s-1). These data (symbols) are then fitted with the Bingham fluid behaviour (solid lines) to calculate blood rheological parameters (shown in Table I). Error bars are smaller than the symbols. (B-C) Atomic force microscopy images of whole blood from healthy mice. (D-E) Atomic force microscopy images of whole blood from animals infected with Salmonella Typhimurium (107 CFU / mL) whose blood was analysed 24 h post challenge.CC BY · PubMed Central
Fig. 2: different features observed in the whole blood from infected animals using atomic force microscopy. (A) Whole blood topography micrograph from mice infected with Salmonella Typhimurium (107 CFU / mL). (B) Activated platelet with pseudopodia formation. (C) S. Typhimurium in the blood of the animal.
Fig. 2: different features observed in the whole blood from infected animals using atomic force microscopy. (A) Whole blood topography micrograph from mice infected with Salmonella Typhimurium (107 CFU / mL). (B) Activated platelet with pseudopodia formation. (C) S. Typhimurium in the blood of the animal.CC BY · PubMed Central
Fig. 3: hemorheology of healthy animals administrated with Calotropis procera proteins (CpLP). (A) Rheogram (top) and viscosity curve profile (bottom) of blood from mice that received CpLP (30 mg / kg) and whose blood was analysed after different time of exposure. (B) Rheogram (top) and viscosity curve profile (bottom) of blood from healthy animals that received CpLP plus iodoacetamide (30 mg / kg). Flow curves in the rheogram illustrate shear stress (τ; Pa) vs shear rate (γ; s-1) and viscosity curves illustrate dynamic viscosity (η; Pa*s) vs shear stress (γ; s-1). Solid lines show the respective fit of measured data (shown in symbols) with the Bingham fluid behaviour to calculate blood rheological parameters (shown in Table I). Error bars are smaller than the symbols.
Fig. 3: hemorheology of healthy animals administrated with Calotropis procera proteins (CpLP). (A) Rheogram (top) and viscosity curve profile (bottom) of blood from mice that received CpLP (30 mg / kg) and whose blood was analysed after different time of exposure. (B) Rheogram (top) and viscosity curve profile (bottom) of blood from healthy animals that received CpLP plus iodoacetamide (30 mg / kg). Flow curves in the rheogram illustrate shear stress (τ; Pa) vs shear rate (γ; s-1) and viscosity curves illustrate dynamic viscosity (η; Pa*s) vs shear stress (γ; s-1). Solid lines show the respective fit of measured data (shown in symbols) with the Bingham fluid behaviour to calculate blood rheological parameters (shown in Table I). Error bars are smaller than the symbols.CC BY · PubMed Central
Fig. 4: effects of Calotropis procera proteins (CpLP) treatment on whole blood viscosity and red blood cells (RBCs) morphology from infected animals. (A) Rheogram (top) and viscosity curve profile (bottom) of blood from infected animals treated with CpLP (30 mg / kg). Flow curves in the rheogram illustrate shear stress (τ; Pa) vs shear rate (γ; s-1) and viscosity curves illustrate dynamic viscosity (η; Pa*s) vs shear stress (γ; s-1). These data (symbols) are fitted with the Bingham fluid behaviour (solid lines) to calculate blood rheological parameters (shown in Table I). Error bars are smaller than the symbols. (B-C) Atomic force microscopy images of whole blood from healthy mice that received CpLP (30 mg / kg) and whose blood was analysed 24 h after exposure. (D-E) Atomic force microscopy views of whole blood from animals pre-treated with CpLP (30 mg / kg) and infected with Salmonella Typhimurium. These animals had the blood analysed 24 h after infection.
Fig. 4: effects of Calotropis procera proteins (CpLP) treatment on whole blood viscosity and red blood cells (RBCs) morphology from infected animals. (A) Rheogram (top) and viscosity curve profile (bottom) of blood from infected animals treated with CpLP (30 mg / kg). Flow curves in the rheogram illustrate shear stress (τ; Pa) vs shear rate (γ; s-1) and viscosity curves illustrate dynamic viscosity (η; Pa*s) vs shear stress (γ; s-1). These data (symbols) are fitted with the Bingham fluid behaviour (solid lines) to calculate blood rheological parameters (shown in Table I). Error bars are smaller than the symbols. (B-C) Atomic force microscopy images of whole blood from healthy mice that received CpLP (30 mg / kg) and whose blood was analysed 24 h after exposure. (D-E) Atomic force microscopy views of whole blood from animals pre-treated with CpLP (30 mg / kg) and infected with Salmonella Typhimurium. These animals had the blood analysed 24 h after infection.CC BY · PubMed Central

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Research works printed but not linked: 25

  1. Levi M, 2017, Coagulation and sepsis, Thromb Res, 149, 38, 10.1016/j.thromres.2016.11.007 · DOI
  2. Tsao C, 2015, Coagulation abnormalities in sepsis, Acta Anaesthesiol Taiwanica, 53, 16, 10.1016/j.aat.2014.11.002 · DOI
  3. Levi M, 2003, Infection and inflammation and coagulation system, Cardiovasc Res, 60, 26, 10.1016/S0008-6363(02)00857-X · DOI
  4. Madhusudhan T, 2017, The emerging role of coagulation proteases in kidney disease, Nat Rev Nephrol, 12, 94, 10.1038/nrneph.2015.177 · DOI
  5. Levi M, 2005, Two-way interactions between inflammation and coagulation, Trends Cardiovasc Med, 15, 254, 10.1016/j.tcm.2005.07.004 · DOI
  6. Pretorius E, 2018, Erythrocyte deformability and eryptosis during inflammation, and impaired blood rheology, Clin Hemorheol Microcirc, 69, 545, 10.3233/CH-189205 · DOI
  7. Pretorius E, 2016, Acute induction of anomalous and amyloidogenic blood clotting by molecular amplification of highly substoichiometric levels of bacterial lipopolysaccharide, J R Soc Interface, 13, 1, 10.1098/rsif.2016.0539 · DOI
  8. Pretorius E, 2018, Both lipopolysaccharide and lipoteichoic acids potently induce anomalous fibrin amyloid formation assessment with novel Amytracker(tm) stains, J R Soc Interface, 15, 1, 10.1098/rsif.2017.0941 · DOI
  9. Lang F, 2010, Ceramide in suicidal death of erythrocytes, Cell Physiol Biochem, 26, 21, 10.1159/000315102 · DOI
  10. Lang F, 2012, Physiology and pathophysiology of eryptosis, Transfus Med Hemother, 39, 308, 10.1159/000342534 · DOI
  11. Herrero-Fresno A, 2018, Salmonella typhimurium metabolism affects virulence in the host A mini-review, Food Microbiol, 71, 98, 10.1016/j.fm.2017.04.016 · DOI
  12. Behnsen J, 2015, Exploiting host immunity the Salmonella paradigm, Trends Immunol, 36, 112, 10.1016/j.it.2014.12.003 · DOI
  13. Zhang K, 2018, Seeing is understanding salmonella's way to penetrate the intestinal epithelium, Int J Med Microbiol, 308, 97, 10.1016/j.ijmm.2017.09.011 · DOI
  14. Santos AJM, 2016, Clustered intracellular Salmonella enterica serovar typhimurium blocks host cell cytokinesis, Infect Immun, 84, 2149, 10.1128/IAI.00062-16 · DOI
  15. Alencar NMN, 2006, Pro- and anti-infl ammatory activities of the latex from Calotropis procera (Ait ) R. Br. are triggered by compounds fractionated by dialysis, Inflamm Res, 55, 559, 10.1007/s00011-006-6025-y · DOI
  16. Lima-Filho JV, 2010, Proteins from latex of Calotropis procera prevent septic shock due to lethal infection by Salmonella enterica serovar Typhimurium, J Ethnopharmacol, 129, 327, 10.1016/j.jep.2010.03.038 · DOI
  17. Oliveira RSB, 2012, Inflammation induced by phytomodulatory proteins from the latex of Calotropis procera (Asclepiadaceae) protects against Salmonella infection in a murine model of typhoid fever, Inflamm Res, 61, 689, 10.1007/s00011-012-0460-8 · DOI
  18. Ramos MV, 2012, Proteins derived from latex of C procera maintain coagulation homeostasis in septic mice and exhibit thrombin- and plasmin-like activities, Naunyn-Schmiedeberg's Arch Pharmacol, 385, 455, 10.1007/s00210-012-0733-3 · DOI
  19. Bezerra CF, 2017, Latex proteins from Calotropis procera toxicity and immunological tolerance revisited, Chem Biol Interact, 274, 138, 10.1016/j.cbi.2017.07.007 · DOI
  20. Kurtz JR, 2017, Salmonella infection interplay between the bacteria and host immune system, Immunol Lett, 190, 42, 10.1016/j.imlet.2017.07.006 · DOI
  21. Silva AFB, 2016, Comparison of immunomodulatory properties of mannose-binding lectins from Canavalia brasiliensis and Cratylia argentea in a mice model of Salmonella infection, Int Immunopharmacol, 31, 233, 10.1016/j.intimp.2015.12.036 · DOI
  22. Bester J, 2018, Simultaneous presence of hypercoagulation and increased clot lysis time due to IL-1 ß , IL-6 and IL-8, Cytokine, 110, 237, 10.1016/j.cyto.2018.01.007 · DOI
  23. Ramos MV, 2013, New insights into the complex mixture of latex cysteine peptidases in Calotropis procera, Int J Biol Macromol, 58, 211, 10.1016/j.ijbiomac.2013.04.001 · DOI
  24. Errasti ME, 2016, Effects on fibrinogen, fibrin, and blood coagulation of proteolytic extracts from fruits of Pseudananas macrodontes, Bromelia balansae, and B hieronymi (Bromeliaceae) in comparison with bromelain, Blood Coagul Fibrinolysis, 27, 441, 10.1097/MBC.0000000000000531 · DOI
  25. Ramos MV, 2007, Immunological and allergenic responses induced by latex fractions of Calotropis procera (Ait ) R. Br, J Ethnopharmacol, 111, 115, 10.1016/j.jep.2006.10.034 · DOI

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Authors
Silva, A. F., Sousa, J. S., Cunha, P. L., Lima-Filho, J. V., Alencar, N. M., Freitas, C. D., Oliveira, C. L., & Ramos, M. V.
Venue
Memórias do Instituto Oswaldo Cruz
Published
2019
Volume
114
ISSN
  • 1678-8060
  • 0074-0276
Cited by
17
References
1

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CoChat. (2026). Citation check: Erythrocytes morphology and hemorheology in severe bacterial infection. https://app.cochat.ai/papers/10.1590/0074-02760190326
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Silva, A. F., Sousa, J. S., Cunha, P. L., Lima-Filho, J. V., Alencar, N. M., Freitas, C. D., Oliveira, C. L., & Ramos, M. V. (2019). Erythrocytes morphology and hemorheology in severe bacterial infection. Memórias do Instituto Oswaldo Cruz. https://doi.org/10.1590/0074-02760190326