Abstract
Introduction: Coronavirus disease 2019 (COVID-19) is characterized by impaired oxygen (O2) homeostasis, including O2 sensing, uptake, transport/delivery, and consumption. Red blood cells (RBCs) are central to maintaining O2 homeostasis and undergo direct exposure to coronavirus in vivo. We thus hypothesized that COVID-19 alters RBC properties relevant to O2 homeostasis, including the hematological profile, Hb O2 transport characteristics, rheology, and the hypoxic vasodilatory (HVD) reflex.
Methods: RBCs from 18 hospitalized COVID-19 subjects and 20 healthy controls were analyzed as follows: (i) clinical hematological parameters (complete blood count; hematology analyzer); (ii) O2 dissociation curves (p50, Hill number, and Bohr plot; Hemox-Analyzer); (iii) rheological properties (osmotic fragility, deformability, and aggregation; laser-assisted optical rotational cell analyzer (LORRCA) ektacytometry); and (iv) vasoactivity (the RBC HVD; vascular ring bioassay).
Results: Compared to age- and gender-matched healthy controls, COVID-19 subjects demonstrated 1) significant hematological differences (increased WBC count—with a higher percentage of neutrophils); RBC distribution width (RDW); and reduced hematocrit (HCT), Hb concentration, mean corpuscular volume (MCV), and mean corpuscular hemoglobin concentration (MCHC); 2) impaired O2-carrying capacity and O2 capacitance (resulting from anemia) without difference in p50 or Hb–O2 cooperativity; 3) compromised regulation of RBC volume (altered osmotic fragility); 4) reduced RBC deformability; 5) accelerated RBC aggregation kinetics; and (6) no change in the RBC HVD reflex.
Discussion: When considered collectively, homeostatic compensation for these RBC impairments requires that the cardiac output in the COVID cohort would need to increase by ∼135% to maintain O2 delivery similar to that in the control cohort. Additionally, the COVID-19 disease RBC properties were found to be exaggerated in blood-type O hospitalized COVID-19 subjects compared to blood-type A. These data indicate that altered RBC features in hospitalized COVID-19 subjects burden the cardiovascular system to maintain O2 delivery homeostasis, which appears exaggerated by blood type (more pronounced with blood-type O) and likely plays a role in disease pathogenesis.
Introduction
Red blood cells (RBCs), the most abundant cells in the body (), play an essential role in oxygen (O2) homeostasis (i.e., O2 sensing, uptake, transport, and delivery). Whilst the RBC number and hemoglobin concentration (Hb) define blood O2-carrying capacity, homeostatic modulation of Hb–O2 affinity ultimately regulates O2 capture/release in a manner that stabilizes O2 delivery in the setting of reduced O2 availability (i.e., hypoxia and anemia) or increased consumption (i.e., stress and disease). This effect is achieved via the production of allosteric effectors (i.e., 2,3 DPG and ATP) and adjustment of the RBC internal milieu (i.e., pH and anion concentration) in response to external stimuli (i.e., temperature and CO2 tension). In addition to modulating Hb–O2 affinity, RBCs play a direct but less well-appreciated role in O2 delivery homeostasis by regulating blood flow itself. This includes both active signaling, whereby RBCs control the bioavailability of vasoactive factors that modulate vessel caliber in an O2-dependent manner (i.e., S-nitrosothiols and ATP) (; ; ), and biophysical effects, via the influence of RBCs on blood rheology (determined by RBC deformability), aggregation (with each other), and adhesion (to endothelium). Together, these functions place RBCs at the center of O2 homeostasis regulation.
The highly infectious coronavirus 2019 disease (COVID-19) caused by severe acute respiratory coronavirus 2 (SARS-CoV-2) () is characterized by impaired O2 delivery homeostasis. The COVID-19 virus S1 spike protein is postulated to interact with RBCs via RBC CD147 (), evidenced by the detection of RBC surface viral spike protein and complement activation products (; ). Additionally, COVID-19 spike protein glycans may also bind to glycoconjugates on the surface of red blood cells (). These interactions, in addition to the acute inflammation, which is a feature of COVID-19 () [and already known to affect RBC rheological properties ()], likely affect RBC surface chemistry and rheology, which are proposed to result in intravascular thrombosis (), associated lung injury (), and hypoxemia (). Additionally, COVID-19 subjects often present with anemia, the severity of which appears greatest in those most critically ill (), although it is not clear if this effect arises from increased RBC hemolysis and/or clearance, reduced hematopoiesis, or a combination of these factors. Unless compensated through homeostatic adaptation of blood flow and/or Hb–O2 affinity, reduced O2-carrying capacity diminishes O2 capacitance (i.e., the amount of O2 released across any given arteriovenous pO2 difference) (), thereby loading and placing undue strain on the cardiovascular system to compensate for reduced O2 delivered per mL blood, which requires work to increase cardiac output in the setting of reduced capacity for myocardial O2 delivery, potentially contributing to disease pathogenesis.
Despite the fundamental RBC role in O2 homeostasis and the known impact of COVID-19 on O2 delivery homeostasis, the effect of COVID-19 on RBC properties and physiology is not well described nor quantified. The aim of this study was to determine whether RBCs from hospitalized COVID-19 subjects demonstrated altered features (or impaired compensation) relevant to O2 homeostasis, i.e., hematological parameters, altered O2 transport characteristics (i.e., Hb–O2 affinity/cooperativity), impaired rheology, and/or altered release of vasoactive compounds, i.e., a diminished hypoxic vasodilatory reflex. Additionally, given the ABO blood-type dependence on susceptibility to COVID-19 infection and spike protein–RBC interaction (; ; ), we assessed whether changes observed in features relevant to O2 homeostasis were associated with blood type.
Materials and methods
Subjects
This study was approved by the UMB Human Research Ethics Committee, and written informed consent was obtained from all participants in accordance with the Declaration of Helsinki. We studied 18 COVID-19 subjects who were hospitalized at the University of Maryland Medical Center (Baltimore, United States) between September 2020 and January 2022 and 20 non-hospitalized healthy control individuals. SARS-CoV-2 infection was confirmed in all subjects by polymerase chain reaction (PCR) performed on material collected using the nasopharyngeal swab. Medical records were reviewed to collect demographic and general clinical data.
Blood sampling and processing
Venous blood was drawn into EDTA or heparin vacutainers and immediately placed on ice until analysis, which was performed within 24 h of collection. For complete blood count (CBC), oxygen dissociation curve (ODC—Hemox), and ektacytometry (LORRCA) analyses, whole blood was used, so no further processing was performed. RBC counts (CBC HORIBA) were adjusted for each assay platform (following the addition of whole blood to assay buffer) according to assay specifications. For hypoxic vasodilation (HVD), RBCs were separated from whole blood and washed three times (2,000 g, 10 min, 4°C, PBS) prior to analysis. Blood samples were equilibrated at the appropriate assay temperature prior to measurement.
Materials and reagents
Unless stated, reagents were purchased from Sigma-Aldrich Inc. (St. Louis, United States).
Hematological parameters and oximetry
Standard hematological parameters were measured in the clinic or research laboratory using conventional complete blood count analyzers (HORIBA, Kisshoin, Japan).
Hemorheological parameters
RBC osmotic fragility, deformability, and aggregation were measured through ektacytometry using LORRCA (RR Mechatronics, Hoorn, Netherlands). This assay quantifies cell deformability as an elongation index [i.e., a ratio in the difference between the major and minor axes in cellular diffraction patterns over their sum (; )], whilst cells are under constant shear. Three different measurements were performed: 1) osmoscan, yielding a set of elongation indices measured at 37°C and a single shear (30 Pa), across a wide osmotic gradient (∼80–700 mOsm); 2) deformability scan, yielding a set of elongation indices at 37°C and a fixed physiologic osmolality, across a shear range (0.3–30 Pascal); and 3) aggregation scan, i.e., a syllectogram, a time-dependent intensity plot of backscattered light generated when RBCs, initially subjected to shear (to fully induce disaggregation), are allowed to return to their original randomly oriented biconcave shape, lose alignment, and aggregate (as the shear is stopped) (). Measurement outputs of aggregation included aggregation index (see Figure 4A) calculated as area A (the area within the rectangle above the syllectogram curve) divided by area A plus area B (the area within the rectangle below the syllectogram curve) multiplied by 100, the amplitude of aggregation, and t1/2. Whole blood was used (aggregation) or added and thoroughly mixed in an iso-osmolar polyvinylpyrrolidone (EIon ISO solution for osmoscan and deformability measurements—5 mL; RR Mechatronics, Hoorn, Netherlands; mean viscosity ∼29.8 mPa*s, osmolality ∼285 mOsm, pH ∼7.4), allowing normalization of the RBC count for each specific assay platform (as outlined by the manufacturer).
O2 transport parameters
O2–hemoglobin dissociation curves were composed from the simultaneous direct in vitro measurement of O2 partial pressure (pO2) and hemoglobin O2 saturation (HbSO2) during controlled hemoglobin deoxygenation (O2 unloading) and re-oxygenation (O2 loading) () (Hemox-Analyzer, TSC Scientific Corporation, New Hope, PA, United States). Whole blood (25 μL was diluted in 3 mL 50 mM BIS-Tris, and 100 mM NaCl buffered to either pH 7.2, 7.4, or 7.6) () with the addition of bovine serum albumin (BSA) (12 μL) and an antifoaming agent (6 μL), both supplied by the manufacturer. Samples were equilibrated (37°C) while bubbled with air and then subsequently deoxygenated, with exposure to N2. The Hb p50 value (pO2 at which HbSO2 is 50%) was extrapolated from the plotted relationship of the above two variables (oxy-hemoglobin desaturation curve; ODC). In addition, the Hill coefficient was calculated (TCS Hemox Data Acquisition System, TCS Scientific Corp, New Hope, PA, United States), providing an index of cooperativity, and the Bohr plot was determined (). Additional analyses were performed from ODC data, including the calculation of blood O2 content from the O2 unloading arm of the Hemox ODC curves; SO2 was converted to blood O2 content assuming that 1 g Hb binds to 1.34 mL O2 and multiplying this by the subjects [Hb]. Blood O2 capacitance was also calculated from the ODC, using the calculation of .
RBC vasoactivity (hypoxic vasodilation)
Male New Zealand white rabbits (1.8–2 Kg) were euthanized by intravenous injection of sodium pentobarbital. The aorta was harvested, and endothelium-intact rings were prepared for isometric tension recordings by mounting on a Radnoti vascular ring array (Harvard Apparatus, Holliston, MA, United States): 2 g resting tension, 37°C, and Krebs (NaCl 118 mM, KCl 4.8 mM, KH2PO4 1.2 mM, MgSO4 1.2 mM, NaHCO3 24 mM, glucose 11.0 mM, CaCl2 2.5 mM, and disodium EDTA 0.03 mM); bath pO2 was controlled by bubbling appropriate gas mixtures, as described (). Isometric tension was recorded continuously by transducers linked to a PowerLab 8SP/octal bridge (AD Instruments, Colorado Springs, CO, United States) connected to a PC running LabChart 7 (AD Instruments, Colorado Springs, CO, United States). Rings were pre-conditioned at 95% O2, 5% CO2, with 10−6 mol/L phenylephrine (PE) and 10−5 mol/L acetylcholine (ACh); then, under hypoxia (95% N2, 5% CO2; ∼1% O2), PE (5 × 10−6 mol/L) was used to increase baseline tension, before 30 μL of pelleted RBCs were injected into each bath, and the data were analyzed, as outlined previously (). In brief, endothelium-intact rings were identified as those producing an ACh relaxation response during preconditioning that was >60% of the maximal induced tension (by PE); rings that did not produce this amount of relaxation were excluded. For each experiment, eight ring preparations were run in parallel, n = 1 represents data averaged from all endothelium-intact rings (possibly 8 in total) that were treated identically; the % relaxation was calculated as the RBC-induced decrease in tension as a percentage of the preceding baseline plateau tension (both under the above hypoxic bath conditions) ().
Statistical analyses
Results are presented as the mean ± standard deviation (SD) (or SEM where indicated). Column statistics were performed, and a normality/lognormality test (Shapiro–Wilk test) was undertaken to confirm normal data distribution. Data were plotted as box and whisker plots with each data point shown (box extending from the 25th to 75th percentile) and the whiskers representing minimum and maximum points. For parametric data, group comparisons of means were analyzed using the t-test (Student’s). For non-parametric data, group comparisons of mean ranks were analyzed using Mann–Whitney U-test (Prism, GraphPad Inc.; La Jolla, CA). Curves (Figures 3E, 5F, 8E) were compared via two-way ANOVA (mixed-effects analysis), and comparison of means at each shear (3E, 8E) or each lung-to-tissue O2 flux (5F) between groups were performed. Pearson’s product moment correlation coefficient was computed to assess the relationship between mean corpuscular hemoglobin concentration (MCHC)/mean corpuscular volume (MCV) and RBC deformability (Figure 3H). A p-value <0.05 was considered significant. For original data please contact Allan Doctor at ADoctor@som.umaryland.edu.
Results
Patient demographics and clinical presentation
Healthy age/sex-matched controls were compared with COVID-19 subjects (sex distribution; chi-squared test (X2 1, N = 38) = 0.095, p = 0.758; mean age; COVID-19: 52.6 ± 12.5 years vs healthy control 46.1 ± 9.4 years, p = 0.074) (Table 1). As is typical of hospitalized subjects in intensive care, COVID-19 subjects presented with multiple comorbidities (Table 1). As a gauge of COVID-19 severity, we report the mean Simplified Acute Physiology Scores (SAPS II) (25.6 ± 11.6 AU), in addition to the fact that 3 of the 18 COVID-19 subjects (17%) died during their hospitalization stay (Table 1).
TABLE 1
| Healthy | COVID-19 | ||||||
|---|---|---|---|---|---|---|---|
| Male | Female | Total | Male | Female | Total | ||
| Demographics | N | 9 | 11 | 20 | 9 | 9 | 18 |
| Age (mean) | 45.4 ± 9.8 | 46.5 ± 9.6 | 46.1 ± 9.4 | 50.8 ± 15.4 | 54.4 ± 9.2 | 52.6 ± 12.5 | |
| Age [median (25th and 75th percentile)] | 44 [41; 52] | 54 [35; 54] | 44 [39; 54] | 55 [35; 64] | 58 [45; 62] | 58 [42; 62] | |
| Comorbidities | Obesity | — | — | — | 5 (56%) | 7 (78%) | 12 (67%) |
| Hypertension | — | — | — | 6 (67%) | 6 (67%) | 12 (67%) | |
| Diabetes | — | — | — | 1 (11%) | 8 (89%) | 9 (50%) | |
| Heart failure | — | — | — | 3 (33%) | 3 (33%) | 6 (33%) | |
| Hyperlipidemia | — | — | — | 0 (0%) | 5 (56%) | 5 (28%) | |
| Chronic kidney disease (CKD) | — | — | — | 4 (44%) | 1 (11%) | 5 (28%) | |
| Sample collection (days from symptom onset) | — | — | — | 13.4 ± 10.3 | 11.3 ± 6.4 | 12 (67%) | |
| Severity | SAPS II score | — | — | — | 27.3 ± 13.1 | 23.0 ± 9.5 | 25.6 ± 11.6 |
| Outcome | Death (%) | 0 | 0 | 0 | 2 (22%) | 1 (11%) | 3 (17%) |
Healthy control and COVID-19 subject demographics.
Clinical hematologic parameters—healthy controls vs COVID-19 subjects
The WBC count was higher in hospitalized COVID-19 subjects than in healthy controls (12.1 ± 11.32 vs 6.1 ± 1.2: 103/mm3, p < 0.0001; Figure 1H), and WBC counts from the COVID-19 subjects comprised a significantly higher percentage of neutrophils than those from healthy controls (79.6 ± 8.4 vs 52.9 ± 8.8: %, p < 0.0001; Figure 1I). RBC counts did not differ between groups (Figure 1A). Compared to healthy controls, hematocrit (35.9 ± 7.38 vs 42.0 ± 2.62: %, p = 0.0043; Figure 1B), Hb concentration (11.6 ± 2.42 vs 14.1 ± 0.93: g/dL, p = 0.0012; Figure 1C), MCV (87.1 ± 6.75 vs 94.1 ± 3.94: μm3, p = 0.0012; Figure 1D), mean corpuscular hemoglobin (MCH; 28.0 ± 2.99 vs 31.7 ± 1.31: pg, p = 0.0001; Figure 1E), and MCHC (32.3 ± 1.64 vs 33.6 ± 0.41: g/dL, p = 0.0073; Figure 1F) were all lower in COVID-19 subjects, whilst RBC distribution width was higher (14.2 ± 2.08 vs 11.4 ± 0.67: %, p < 0.0001; Figure 1G).
FIGURE 1
Hemorheological parameters—healthy controls vs COVID-19 subjects
RBCs from COVID-19 subjects demonstrated altered ability to control the cell volume across an osmotic gradient (∼100–500 mOsm) under shear (30 Pa). At low osmolality (∼140 mOsm—at EImin), COVID-19 RBCs showed higher EI than healthy control RBCs (0.177 ± 0.027 vs 0.155 ± 0.028, respectively: EImin, p = 0.0165; Figure 2A). This hypotonic osmolality coincides with the osmolality at which 50% of the cells would hemolyze in an osmotic fragility assay (), suggesting a lower surface area-to-volume ratio of the COVID-19 cells compared to the healthy controls and/or a loss of cell volume regulation. At physiologic and hyper-osmolality, RBC deformability in the COVID-19 subjects trended lower than that in healthy controls, although this difference was not statistically significant (EImax p = 0.0858 and EIhyper p = 0.0889; Figures 2B, D). The dynamic range in deformability across the measured osmotic gradient (deltaEI) was significantly lower in RBCs from COVID-19 subjects than those from controls (0.404 ± 0.028 vs 0.433 ± 0.032, respectively: deltaEI, p = 0.0075; Figure 2C). Buffer osmolalities at EImin, EImax, deltaEI, and EIhyper were not significantly different between the two groups (Figure 2E—representative osmoscans).
FIGURE 2
RBC deformability at fixed osmolality (∼285 mOsm) across a range of shears (0.3–30 Pascal; Pa) was significantly lower in the hospitalized COVID-19 subjects than in healthy controls (Figure 3). Importantly, this difference between groups was observed in the physiologic shear range (i.e., 1.69 Pa, p = 0.0367; 3 Pa, p = 0.0150; 5.33 Pa, p = 0.0477; Figures 3A–D). No difference was observed in the deformability curves between the healthy controls and COVID-19 subjects (Figure 3E), as confirmed in the analysis of SS1/2 (Figure 3F) and the calculated EImax (Figure 3G). Given that cell geometry dictates that MCHC (and MCV) are linked to the ability of RBCs to deform, we assessed the relationship between MCHC/MCV and deformability (at 3 Pa) and observed an expected significant correlation between these parameters (MCHC vs deformability = r (31) = 0.453, p < 0.0001; Figure 3H; MCV vs. deformability = r (31) = 0.17, p = 0.0172; data not shown).
FIGURE 3
Whilst the extent of RBC aggregation (Amplitude, AMP; AU) was not significantly different between the healthy controls and COVID-19 subjects (Figures 4A–C), RBC aggregation kinetics were significantly accelerated in the hospitalized COVID-19 subjects compared to healthy controls, as defined by the aggregation index (74.3 ± 9.96 vs 66.2 ± 7.27: AI%, p = 0.0081; COVID-19 vs healthy control) and t1/2 (1.10 ± 0.457 vs 1.99 ± 0.69: t1/2 s, p < 0.0001; COVID-19 vs healthy control; Figures 4A, B, D, E).
FIGURE 4
RBC O2 transport parameters—healthy controls vs COVID-19 subjects
No significant difference was observed in RBC–O2 affinity (i.e., p50) between the healthy control and COVID-19 subjects across three pH measurements (pH 7.2: 28.77 ± 1.87 vs 29.83 ± 2.31, p = 0.2198; pH 7.4: 23.06 ± 1.69 vs 24.3 ± 2.25, p = 0.124; and pH 7.6: 18.69 ± 1.67 vs 19.59 ± 1.72, p = 0.1929, healthy control vs. COVID-19, respectively; Figure 5A). Hb–O2 cooperativity was not significantly different between the healthy controls or COVID-19 subjects (pH 7.2: 2.68 ± 0.20 vs 2.57 ± 0.11, p = 0.1433; pH 7.4: 2.65 ± 0.21 vs 2.56 ± 0.12, p = 0.1826; and pH 7.6: 2.66 ± 0.28 vs 2.51 ± 0.14, p = 0.0968, healthy control vs COVID-19, respectively; Figure 5B). The Bohr effect (i.e., the shift in the ODC in response to pH change), tested by running ODCs at three fixed pH levels, was not different between the healthy control and COVID-19 groups (Figure 5C). We calculated the mean total blood O2 content as a function of blood pO2 for each pH, per gram Hb (Figure 5D) and per Liter blood (Figure 5E) after calculating blood O2 content from acquired data [i.e., for per gram Hb calculation, SO2 was converted to blood O2 content given that 1 g hemoglobin binds to 1.34 mL O2, for per Liter blood calculation, SO2 was converted to blood O2 content per gram Hb and then multiplied by each subject’s [Hb]; (Figure 5D); this analysis demonstrates the significant reduction in blood O2 content between the COVID-19 subjects and healthy controls for similar O2 tensions. Next, we calculated O2 capacitance [absolute amount of O2 released by RBCs upon transit across a given physiologic O2 gradient (lung → tissue)] () from the Hb–O2 saturation at 100 mmHg, using an O2 loading curve at pH 7.4 (representing RBC O2 content in pulmonary veins) and the Hb–O2 saturation at various pO2 values on the O2 dissociation curve measured at pH 7.2 (representing RBC O2 content in perfused tissue). These data, which integrate both O2-carrying capacity and Hb–O2 affinity, quantify the amount of O2 unloaded across the physiologic range of arterio-venous (A-V) pO2 differences encountered during circulatory transit. We observed a significant, progressive reduction in O2 capacitance in COVID-19 subjects for A-V O2 gradients >70 mmHg (i.e., equivalent to tissue pO2 < 30 mmHg, p < 0.05; Figure 5F), with RBCs from COVID-19 subjects demonstrating capacity for only ∼70–75% of the calculated lung-to-tissue O2 flux (mL) across the physiologic O2 gradient compared to that for healthy controls (Figure 5F).
FIGURE 5
RBC vasoactivity (HVD response)—healthy controls vs COVID-19 subjects
No difference was observed in the hypoxic vasodilatory response of RBCs from healthy controls vs COVID-19 subjects, normalized to the maximal PE constriction of the respective vascular rings (8.67% ± 1.9% vs 9.4% ± 2.3%, p = 0.413, control vs COVID-19, respectively—data not shown).
RBC properties COVID-19 blood type
Analysis was performed to assess whether blood type influenced RBC properties in the hospitalized COVID-19 subjects. Patient numbers and demographics between the two majority blood-type groups in our cohort (i.e., A and O; sex distribution, age, and sample collection time from disease onset) were not significantly different (p > .05–Table 2).
TABLE 2
| Blood type A | Blood type O | ||
|---|---|---|---|
| Demographics | Age (mean) | 52.6 ± 13.2 | 57.2 ± 8.6 |
| Age [median (25th and 75th percentile)] | 59 [47; 61] | 58 [52; 64] | |
| Subject number | 7 | 6 | |
| Sex (M/F) | 3/4 | 3/3 | |
| Obesity | 5 (71%) | 3 (50%) | |
| Hypertension | 4 (57%) | 5 (83%) | |
| Diabetes | 5 (71%) | 3 (50%) | |
| Heart failure | 4 (57%) | 2 (33%) | |
| Hyperlipidemia | 3 (43%) | 1 (17%) | |
| Chronic kidney disease (CKD) | 2 (29%) | 2 (33%) | |
| Sample collection (days from symptom onset) | 10.3 ± 7.8 | 14.7 ± 11.7 | |
| Severity | SAPS II score | 26.6 ± 8.8 | 30.0 ± 14.0 |
| Outcome | Death (%) | 2 (29%) | 1 (17%) |
COVID-19 subject demographics by blood type.
Clinical hematologic parameters—COVID-19 blood type
Hospitalized COVID-19 subjects with blood-type A or O showed similar hematological values (no difference between groups in RBC count, HCT, Hb concentration, MCV, RDW, WBC count, or neutrophil %) (Figures 6A–D, G–I). However, MCH (25.8 ± 3.72 vs 29.5 ± 1.58, p = 0.0348; Figure 6E) and MCHC were significantly lower in the blood-type O group than in the blood-type A group (33.2 ± 0.56 vs 30.6 ± 1.42, p = 0.0008; Figure 6F).
FIGURE 6

Effect of blood-types A and O on COVID-19 clinical hematological parameters. No significant differences were observed in WBC count (H), neutrophil % (I), RBC count (A), HCT (B), Hb concentration (C), MCV (D), or RDW (G). However, MCH (E) and MCHC (F) were significantly lower in blood-type O COVID-19 subjects than in blood-type A patients. Data are presented as the box and whiskers plot. The median is indicated by a solid line, and the mean is represented by +.
Hemorheological parameters—COVID-19 blood type
Hospitalized COVID-19 subjects with blood type O demonstrated significant impairment in the ability to regulate cell volume during osmotic stress. At low osmolality (∼140 mOsm), RBC deformability in the blood-type O COVID-19 patient group was significantly higher than that in the blood-type A group (0.200 ± 0.026 vs 0.162 ± 0.021, respectively: EImin p = 0.0148; Figure 7A). Once again, this hypotonic osmolality coincides with the osmolality at which 50% of the cells would hemolyze in an osmotic fragility assay (
FIGURE 7

Effect of blood-types A and O on COVID-19 shear-induced RBC osmotic fragility. RBCs from COVID-19 subjects with blood-type O demonstrated significant impairment in cell volume regulation, with higher elongation index minimum (EImin) (A), compared to those with blood-type A. No difference between blood types was observed in the elongation index maximum (EImax) (B). Consequently, COVID-19 subjects with blood-type O demonstrated a significantly reduced delta elongation index (C) compared with subjects with blood-type A. No difference between blood types was observed in elongation index hyper (D). The buffer osmolality at EImin (Omin) (E) and EImax (OEImax) (F) was significantly lower in blood-type O than in blood-type A subjects. However, the delta osmolality (G) and hyperosmolality (Ohyper) (H) were not different between blood types. Data are presented as the box and whiskers plot. The median is indicated by a solid line, and the mean is represented by +.
Across a range of physiological shear stress (from 0.95 to 5.33 Pa), RBC deformability in the blood-type O hospitalized COVID-19 patient group was significantly lower than that in the blood-type A group (Figures 8A–E). Whilst no significant difference was observed in the deformability curves between blood-types O and A (Figure 8E), blood-type A subjects demonstrated a significantly reduced SS1/2 (3.34 ± 0.65 vs 2.14 ± 0.66, respectively: p = 0.0072; Figure 8F) and higher calculated EImax (0.58 ± 0.02 vs 0.61 ± 0.03, respectively: p = 0.0527; Figure 8G).
FIGURE 8

Effect of blood-types A and O on COVID-19 shear-induced RBC deformability. RBCs from COVID-19 subjects with blood-type A demonstrated significantly greater deformability at 0.95 (A), 1.69 (B), 3 (C), and 5.33Â Pa (D) than those from individuals with blood-type O. No differences were observed in the plotted deformability curves (E); however, SS1/2 was significantly reduced in blood-type A than in blood-type O (F), whilst calculated EImax was higher (G). Data are presented as the box and whiskers plot. The median is indicated by a solid line, and the mean is represented by +.
The total extent of RBC aggregation (AMP, AU) was significantly lower in the blood-type O COVID-19 group than in the blood-type A group (10.36 ± 2.48 vs 16.76 ± 2.89: AMP AU, p = 0.0025; Figure 9A). Additionally, the kinetics of RBC aggregation were significantly different between groups, with RBCs from hospitalized COVID-19 subjects with blood-type O aggregating faster than those with blood-type A (79.0 ± 7.5 vs 71.0 ± 4.7: aggregation index;, p = 0.0471; Figure 9B; 0.92 ± 0.46 vs 1.48 ± 0.34: t1/2 s, p = 0.0471; Figure 9C).
FIGURE 9

Effect of blood-types A and O on COVID-19 RBC aggregation. Individuals with blood-type A demonstrated significantly greater total aggregation (amplitude) (A) but a slower aggregation response, i.e., lower aggregation index (B) and longer t1/2 (C). Data are presented as the box and whisker plot. The median is indicated by a solid line, and the mean is represented by +. Notably, one blood-type O individual did not have enough blood for aggregation measurement.
Discussion
We quantified RBC features relevant to O2 delivery homeostasis in hospitalized COVID-19 subjects and observed 1) an altered hematological profile, with significantly elevated WBC counts, higher neutrophil levels, marked anemia (HCT and Hb), reduced RBC volume (MCV) and RBC [Hb] (MCH and MCHC), and increased RDW; 2) diminished O2-carrying capacity and O2 capacitance [integrated effect of lower (Hb) and lower O2 delivery per gram Hb across the physiologic O2 gradient]; and 3) impaired hemorheology, distinguished by (a) loss of cell volume regulation, (b) reduced RBC deformability, and (c) accelerated RBC aggregation kinetics, but 4) without change in the hypoxic vasodilatory reflex of RBCs. These COVID-19 disease RBC features were found to be exaggerated in hospitalized COVID-19 subjects with blood-type O compared to those with blood-type A.
Others have observed that hospitalized COVID-19 subjects present with anemia (i.e., RBC lack or diminished hemoglobin concentration) (
Non-hemodynamic homeostatic adaptations counter the effect of anemia, increasing erythropoietin (EPO) (stimulating RBC production) and 2,3 DPG (right-shifting the ODC, aiding HbO2 offloading) and altering the intra-erythrocytic milieu (i.e., affecting pH). These adaptations can be quantified by measuring [Hb], reticulocyte count (RBC production), and the O2 dissociation curve (2,3 DPG and intra-RBC milieu changes), on which the p50 point is defined by the pO2 at which HbSO2 is 50%. In line with multiple other studies, we show no difference in the standard p50 between acute COVID-19 subjects and controls (
O2 delivery homeostasis is not only a function of blood O2 content but also blood flow. In fact, the latter is the more important determinant, specifically because the dynamic range in O2 content is limited [varying linearly with (Hb) and percentage O2 saturation], whereas regional blood flow (a function of vessel radius to the fourth power) may be increased or decreased by several orders of magnitude. Consequently, it is the volume and distribution of blood flow that are modulated by physiologic reflexes that maintain dynamic coupling between O2 delivery and metabolic demand (
Numerous physical (i.e., deformability) and biochemical (i.e., factors which modulate vascular smooth muscle contractility) properties of RBCs play an essential role in determining microcirculatory flow (
RBCs themselves also play an essential role in matching perfusion sufficiency to O2 demand via the release or scavenging of vasoactive signaling molecules (NO, NO+, and ATP). One such reflex is the regulation of hypoxic vasodilation (
Several recent studies have investigated the association between blood type and COVID-19 infection (
We are aware of the limitations of our study. First, we acknowledge the small subject size, in addition to the fact that the hospitalized COVID-19 subjects 1) present with numerous comorbidities, which might also be expected to influence RBC physiology, in addition to 2) being given medications that might potentially have impacted the measurements herein (i.e., O2 affinity and NO metabolism). It is also likely that even though all subjects studied were hospitalized, which itself is an indication of disease severity, individuals studied had wide-ranging morbidity; thus, the variance in the data from COVID-19 subjects likely reflect wide-ranging subject morbidity. We also wish to highlight that acute inflammation itself is known to affect RBC rheological properties (
Statements
Data availability statement
The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the University of Maryland CICERO Institutional Review Board (IRB). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. The animal study was approved by the University of Maryland Institutional Animal Care and Use Committee (IACUC). The study was conducted in accordance with the local legislation and institutional requirements.
Author contributions
SR: conceptualization, data curation, formal analysis, investigation, methodology, project administration, supervision, writing–original draft, and writing–review and editing. MB: data curation, investigation, methodology, project administration, supervision, and writing–review and editing. ZS: data curation, investigation, methodology, and writing–review and editing. QW: investigation, project administration, supervision, and writing–review and editing. TR: investigation, project administration, and writing–review and editing. TB: investigation, project administration, and writing–review and editing. AD: conceptualization, data curation, formal analysis, funding acquisition, project administration, resources, supervision, writing–original draft, and writing–review and editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The study was supported by Research Support R01GM113838 and R01HL161071.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
BarnkobM. B.PottegardA.StovringH.HaunstrupT. M.HomburgK.LarsenR.et al (2020). Reduced prevalence of SARS-CoV-2 infection in ABO blood group O. Blood Adv.4 (20), 4990–4993. 10.1182/bloodadvances.2020002657
2
BaskurtO. K.BoynardM.CokeletG. C.ConnesP.CookeB. M.ForconiS.et al (2009). New guidelines for hemorheological laboratory techniques. Clin. Hemorheol. Microcirc.42 (2), 75–97. 10.3233/CH-2009-1202
3
BeneschR. E.BeneschR.YuC. I. (1969). The oxygenation of hemoglobin in the presence of 2,3-diphosphoglycerate. Effect of temperature, pH, ionic strength, and hemoglobin concentration. Biochemistry.8 (6), 2567–2571. 10.1021/bi00834a046
4
BergamaschiG.Borrelli de AndreisF.AronicoN.LentiM. V.BarteselliC.MerliS.et al (2021). Anemia in patients with Covid-19: pathogenesis and clinical significance. Clin. Exp. Med.21 (2), 239–246. 10.1007/s10238-020-00679-4
5
BoningD.EncisoG. (1987). Hemoglobin-oxygen affinity in anemia. Blut.54 (6), 361–368. 10.1007/BF00626019
6
BoningD.KueblerW. M.BlochW. (2021). The oxygen dissociation curve of blood in COVID-19. Am. J. Physiol. Lung Cell Mol. Physiol.321 (2), L349–L357. 10.1152/ajplung.00079.2021
7
BoschiC.ScheimD. E.BancodA.MilitelloM.BideauM. L.ColsonP.et al (2022). SARS-CoV-2 spike protein induces hemagglutination: implications for COVID-19 morbidities and therapeutics and for vaccine adverse effects. Int. J. Mol. Sci.23 (24), 15480. 10.3390/ijms232415480
8
BouchlaA.KriebardisA. G.GeorgatzakouH. T.FortisS. P.ThomopoulosT. P.LekkakouL.et al (2021). Red blood cell abnormalities as the mirror of SARS-CoV-2 disease severity: a pilot study. Front. physiology12, 825055. 10.3389/fphys.2021.825055
9
BuehlerP. W.AlayashA. I. (2004). Oxygen sensing in the circulation: "cross talk" between red blood cells and the vasculature. Antioxidants redox Signal.6 (6), 1000–1010. 10.1089/ars.2004.6.1000
10
ChenC.ZhouW.FanW.NingX.YangS.LeiZ.et al (2021). Association of anemia and COVID-19 in hospitalized patients. Future Virol.16, 459–466. 10.2217/fvl-2021-0044
11
ClarkM. R.MohandasN.ShohetS. B. (1983). Osmotic gradient ektacytometry: comprehensive characterization of red cell volume and surface maintenance. Blood.61 (5), 899–910. 10.1182/blood.v61.5.899.bloodjournal615899
12
DanielY.HuntB. J.RetterA.HendersonK.WilsonS.SharpeC. C.et al (2020). Haemoglobin oxygen affinity in patients with severe COVID-19 infection. Br. J. Haematol.190 (3), e126–e127. 10.1111/bjh.16888
13
DeMartinoA. W.RoseJ. J.AmdahlM. B.DentM. R.ShahF. A.BainW.et al (2020). No evidence of hemoglobin damage by SARS-CoV-2 infection. Haematologica105 (12), 2769–2773. 10.3324/haematol.2020.264267
14
DobbeJ. G.StreekstraG. J.StrackeeJ.RuttenM. C.StijnenJ. M.GrimbergenC. A. (2003). Syllectometry: the effect of aggregometer geometry in the assessment of red blood cell shape recovery and aggregation. IEEE Trans. Biomed. Eng.50 (1), 97–106. 10.1109/TBME.2002.807319
15
DoctorA.PlattR.SheramM. L.EischeidA.McMahonT.MaxeyT.et al (2005). Hemoglobin conformation couples erythrocyte S-nitrosothiol content to O2 gradients. Proc. Natl. Acad. Sci. U. S. A.102 (16), 5709–5714. 10.1073/pnas.0407490102
16
DoctorA.StamlerJ. S. (2011). Nitric oxide transport in blood: a third gas in the respiratory cycle. Compr. Physiol., 12011. 10.1002/cphy.c090009
17
ElemamN. M.TalaatI. M.BayoumiF. A.ZeinD.GeorgyR.AltamimiA.et al (2022). Peripheral blood cell anomalies in COVID-19 patients in the United Arab Emirates: a single-centered study. Front. Med. (Lausanne)9, 1072427. 10.3389/fmed.2022.1072427
18
FrandsennU.BangsboJ.SanderM.HöffnerL.BetakA.SaltinB.et al (2001). Exercise-induced hyperaemia and leg oxygen uptake are not altered during effective inhibition of nitric oxide synthase with N(G)-nitro-L-arginine methyl ester in humans. J. Physiol.531 (Pt 1), 257–264. 10.1111/j.1469-7793.2001.0257j.x
19
GrauM.IbershoffL.ZacherJ.BrosJ.TomschiF.DieboldK. F.et al (2022). Even patients with mild COVID-19 symptoms after SARS-CoV-2 infection show prolonged altered red blood cell morphology and rheological parameters. J. Cell Mol. Med.26 (10), 3022–3030. 10.1111/jcmm.17320
20
GuarnoneR.CentenaraE.BarosiG. (1995). Performance characteristics of Hemox-Analyzer for assessment of the hemoglobin dissociation curve. Haematologica80 (5), 426–430.
21
GutierrezM.ShamounM.SeuK. G.TanskiT.KalfaT. A.Eniola-AdefesoO. (2021). Characterizing bulk rigidity of rigid red blood cell populations in sickle-cell disease patients. Sci. Rep.11 (1), 7909. 10.1038/s41598-021-86582-8
22
JamesP. E.LangD.Tufnell-BarretT.MilsomA. B.FrenneauxM. P. (2004). Vasorelaxation by red blood cells and impairment in diabetes: reduced nitric oxide and oxygen delivery by glycated hemoglobin. Circulation Res.94 (7), 976–983. 10.1161/01.RES.0000122044.21787.01
23
KimY.LatzC. A.DeCarloC. S.LeeS.PngC. Y. M.KibrikP.et al (2021). Relationship between blood type and outcomes following COVID-19 infection. Semin. Vasc. Surg.34 (3), 125–131. 10.1053/j.semvascsurg.2021.05.005
24
KubankovaM.HohbergerB.HoffmannsJ.FürstJ.HerrmannM.GuckJ.et al (2021). Physical phenotype of blood cells is altered in COVID-19. Biophysical J.120 (14), 2838–2847. 10.1016/j.bpj.2021.05.025
25
LamL. K. M.ReillyJ. P.RuxA. H.MurphyS. J.Kuri-CervantesL.WeismanA. R.et al (2021). Erythrocytes identify complement activation in patients with COVID-19. Am. J. Physiol. Lung Cell Mol. Physiol.321 (2), L485–L489. 10.1152/ajplung.00231.2021
26
LamL. M.MurphyS. J.Kuri-CervantesL.WeismanA. R.IttnerA. C.ReilyJ. P. R.et al (2020). Erythrocytes reveal complement activation in patients with COVID-19. medRxiv.
27
LanotteL.MauerJ.MendezS.FedosovD. A.FromentalJ. M.ClaveriaV.et al (2016). Red cells' dynamic morphologies govern blood shear thinning under microcirculatory flow conditions. Proc. Natl. Acad. Sci. U. S. A.113 (47), 13289–13294. 10.1073/pnas.1608074113
28
LazarovaE.GulbisB.OirschotB. V.van WijkR. (2017). Next-generation osmotic gradient ektacytometry for the diagnosis of hereditary spherocytosis: interlaboratory method validation and experience. Clin. Chem. Lab. Med.55 (3), 394–402. 10.1515/cclm-2016-0290
29
MairbaurlH.WeberR. E. (2012). Oxygen transport by hemoglobin. Compr. Physiol.2 (2), 1463–1489. 10.1002/cphy.c080113
30
McMahonT. J.Exton StoneA.BonaventuraJ.SingelD. J.Solomon StamlerJ. (2000). Functional coupling of oxygen binding and vasoactivity in S-nitrosohemoglobin. J. Biol. Chem.275 (22), 16738–16745. 10.1074/jbc.M000532200
31
McMahonT. J.MoonR. E.LuschingerB. P.CarrawayM. S.StoneA. E.StolpB. W.et al (2002). Nitric oxide in the human respiratory cycle. Nat. Med.8 (7), 711–717. 10.1038/nm718
32
MontenegroF.UnigarroL.ParedesG.MoyaT.RomeroA.TorresL.et al (2021). Acute respiratory distress syndrome (ARDS) caused by the novel coronavirus disease (COVID-19): a practical comprehensive literature review. Expert Rev. Respir. Med.15 (2), 183–195. 10.1080/17476348.2020.1820329
33
MortazE.MalkmohammadM.JamaatiH.NaghanP. A.HashemianS. M.TabarsiP.et al (2020). Silent hypoxia: higher NO in red blood cells of COVID-19 patients. BMC Pulm. Med.20 (1), 269. 10.1186/s12890-020-01310-8
34
NaderE.NougierC.BoissonC.PoutrelS.CatellaJ.MartinF.et al (2021). Increased blood viscosity and red blood cell aggregation in patients with COVID-19. Am. J. Hematol.97, 283–292. 10.1002/ajh.26440
35
PalmerL. A.DoctorA.ChhabraP.SheramM. L.LaubachV. E.KarlinseyM. Z.et al (2007). S-nitrosothiols signal hypoxia-mimetic vascular pathology. J. Clin. investigation117 (9), 2592–2601. 10.1172/JCI29444
36
PawloskiJ. R.HessD. T.StamlerJ. S. (2001). Export by red blood cells of nitric oxide bioactivity. Nature409 (6820), 622–626. 10.1038/35054560
37
PinderA. G.RogersS. C.MorrisK.JamesP. E. (2009). Haemoglobin saturation controls the red blood cell mediated hypoxic vasorelaxation. Adv. Exp. Med. Biol.645, 13–20. 10.1007/978-0-387-85998-9_3
38
PretoriusE. (2018). Erythrocyte deformability and eryptosis during inflammation, and impaired blood rheology. Clin. Hemorheol. Microcirc.69 (4), 545–550. 10.3233/CH-189205
39
RenouxC.FortR.NaderE.BoissonC.JolyP.StaufferE.et al (2021). Impact of COVID-19 on red blood cell rheology. Br. J. Haematol.192 (4), e108–e111. 10.1111/bjh.17306
40
RossJ. M.FairchildH. M.WeldyJ.GuytonA. C. (1962). Autoregulation of blood flow by oxygen lack. Am. J. Physiol.202, 21–24. 10.1152/ajplegacy.1962.202.1.21
41
SenderR.FuchsS.MiloR. (2016). Revised estimates for the number of human and bacteria cells in the body. PLoS Biol.14 (8), e1002533. 10.1371/journal.pbio.1002533
42
Severe CovidG. G.EllinghausD.DegenhardtF.BujandaL.ButiM.AlbillosA.et al (2020). Genomewide association study of severe covid-19 with respiratory failure. N. Engl. J. Med.383 (16), 1522–1534. 10.1056/NEJMoa2020283
43
SingelD. J.StamlerJ. S. (2005). Chemical physiology of blood flow regulation by red blood cells: the role of nitric oxide and S-nitrosohemoglobin. Annu. Rev. physiology67, 99–145. 10.1146/annurev.physiol.67.060603.090918
44
TaneriP. E.Gomez-OchoaS. A.LlanajE.RaguindinP. F.RojasL. Z.Roa-DÃazZ. M.et al (2020). Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis. Eur. J. Epidemiol.35 (8), 763–773. 10.1007/s10654-020-00678-5
45
ThomasT.StefanoniD.DzieciatkowskaM.IssaianA.NemkovT.HillR. C.et al (2020). Evidence of structural protein damage and membrane lipid remodeling in red blood cells from COVID-19 patients. J. proteome Res.19 (11), 4455–4469. 10.1021/acs.jproteome.0c00606
46
WangK.ChenW.ZhangZ.DengY.LianJ. Q.DuP.et al (2020). CD147-spike protein is a novel route for SARS-CoV-2 infection to host cells. Signal Transduct. Target Ther.5 (1), 283. 10.1038/s41392-020-00426-x
47
WeiselJ. W.LitvinovR. I. (2019). Red blood cells: the forgotten player in hemostasis and thrombosis. J. Thromb. Haemost.17 (2), 271–282. 10.1111/jth.14360
48
WongR. S. Y. (2021). Inflammation in COVID-19: from pathogenesis to treatment. Int. J. Clin. Exp. Pathol.14 (7), 831–844.
49
WuS. C.ArthurC. M.JanH. M.Garcia-BeltranW. F.PatelK. R.RathgeberM. F.et al (2023). Blood group A enhances SARS-CoV-2 infection. Blood142 (8), 742–747. 10.1182/blood.2022018903
50
ZhuN.ZhangD.WangW.LiX.YangB.SongJ.et al (2020). A novel coronavirus from patients with pneumonia in China. N. Engl. J. Med.382 (8), 727–733. 10.1056/NEJMoa2001017
Summary
Keywords
red blood cell, coronavirus disease 2019, oxygen, rheology, osmotic fragility, deformability, aggregation, vasoactivity
Citation
Rogers SC, Brummet M, Safari Z, Wang Q, Rowden T, Boyer T and Doctor A (2024) COVID-19 impairs oxygen delivery by altering red blood cell hematological, hemorheological, and oxygen transport properties. Front. Physiol. 14:1320697. doi: 10.3389/fphys.2023.1320697
Received
12 October 2023
Accepted
06 December 2023
Published
03 January 2024
Volume
14 - 2023
Edited by
Lars Kaestner, Saarland University, Germany
Reviewed by
Asya Makhro, University of Zurich, Switzerland
Ozlem Yalcin, Koç University, Türkiye
Roland Pittman, Virginia Commonwealth University, United States
Updates

Check for updates
Copyright
© 2024 Rogers, Brummet, Safari, Wang, Rowden, Boyer and Doctor.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Allan Doctor, adoctor@som.umaryland.edu
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.