Literature DB >> 33493365

ABO blood group and SARS-CoV-2 antibody response in a convalescent donor population.

Evan M Bloch1, Eshan U Patel1,2, Christi Marshall1, Kirsten Littlefield3, Ruchika Goel1,4, Brenda J Grossman5, Jeffrey L Winters6, Ruchee Shrestha1, Imani Burgess1, Oliver Laeyendecker7,8, Shmuel Shoham8, David Sullivan3, Eric A Gehrie1, Andrew D Redd7,8, Thomas C Quinn7,8, Arturo Casadevall3, Andrew Pekosz3, Aaron A R Tobian1.   

Abstract

BACKGROUND AND OBJECTIVES: ABO blood group may affect risk of SARS-CoV-2 infection and/or severity of COVID-19. We sought to determine whether IgG, IgA and neutralizing antibody (nAb) to SARS-CoV-2 vary by ABO blood group.
MATERIALS AND METHODS: Among eligible convalescent plasma donors, ABO blood group was determined via agglutination of reagent A1 and B cells, IgA and IgG were quantified using the Euroimmun anti-SARS-CoV-2 ELISA, and nAb titres were quantified using a microneutralization assay. Differences in titre distribution were examined by ABO blood group using non-parametric Kruskal-Wallis tests. Adjusted prevalence ratios (aPR) of high nAb titre (≥1:160) were estimated by blood group using multivariable modified Poisson regression models that adjusted for age, sex, hospitalization status and time since SARS-CoV-2 diagnosis.
RESULTS: Of the 202 potential donors, 65 (32%) were blood group A, 39 (19%) were group B, 13 (6%) were group AB, and 85 (42%) were group O. Distribution of nAb titres significantly differed by ABO blood group, whereas there were no significant differences in anti-spike IgA or anti-spike IgG titres by ABO blood group. There were significantly more individuals with high nAb titre (≥1:160) among those with blood group B, compared with group O (aPR = 1·9 [95%CI = 1·1-3·3], P = 0·029). Fewer individuals had a high nAb titre among those with blood group A, compared with group B (aPR = 0·6 [95%CI = 0·4-1·0], P = 0·053).
CONCLUSION: Eligible CCP donors with blood group B may have relatively higher neutralizing antibody titres. Additional studies evaluating ABO blood groups and antibody titres that incorporate COVID-19 severity are needed.
© 2021 International Society of Blood Transfusion.

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Keywords:  ABO group; COVID-19; SARS-CoV-2; convalescent plasma; titre

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Substances:

Year:  2021        PMID: 33493365      PMCID: PMC8012988          DOI: 10.1111/vox.13070

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.996


Introduction

Since its first description in China in December 2019, over 66 million cases of severe acute respiratory syndrome‐associated coronavirus 2 (SARS‐CoV‐2) infection – the cause of coronavirus‐19 disease (COVID‐19) – have been reported, spanning 191 countries or territories and accounting for over 1·5 million deaths [1]. Over a fifth (>14 million) of those cases have been reported in the United States. Amid established sociodemographic (e.g. older age, male sex, racial and ethnic minorities) and clinical (diabetes, hypertension, smoking) risk factors for COVID‐19 severity, the possibility of an association with ABO blood group was raised early in the pandemic. Specifically, blood group A individuals were suggested to be at greater risk of infection, while blood group O was observed to be protective [2, 3, 4, 5]. Nonetheless, while over‐representation of group A (and under‐representation of group O) has been observed among COVID‐19 cases, the findings have been mixed with respect to clinical outcomes [6, 7, 8, 9]. Blood groups have long been suspected as playing a part in the pathogenesis of infectious diseases, spanning malaria to parvovirus B19 [10]. An association between SARS‐CoV‐2 risk (i.e. susceptibility and/or disease severity) and ABO blood group is plausible, yet remains uncertain. Prior to the COVID‐19 pandemic, a retrospective study of healthcare workers in Hong Kong reported group O participants to be less likely to become infected with SARS‐CoV – a closely related virus to SARS‐CoV‐2 – than non‐O participants [11]. A subsequent study showed that anti‐A isoagglutinins were capable of inhibiting the S protein/angiotensin‐converting enzyme 2 interaction suggesting a role blocking the virus from its receptor [12]. It has also been suggested that antibody subclass may be important with protection ascribed to anti‐A IgG rather than IgM [13]. Of note, anti‐A IgG is more common in group O individuals as compared to those of other non‐A groups. In short, anti‐A – rather than blood group itself – may be the central factor [14]. Given the plausibility of a role in immunopathogenesis of COVID‐19, we sought to assess the association between ABO blood group and SARS‐CoV‐2 antibody titres (IgA, IgG and neutralizing antibodies [nAbs]) in eligible COVID‐19 convalescent plasma (CCP) donors. Of note, transfusion of plasma from convalescent individuals (i.e. 'CCP') has emerged as a leading therapy for COVID‐19 [15, 16, 17, 18, 19, 20]. If there is a difference in titre by ABO type, it could potentially be exploited through preferential recruitment of CCP donors of certain types and/or selective use for manufacture of hyperimmune globulin. This offered another rationale for pursuing this study.

Materials and methods

Study participants

The study population comprised individuals who were deemed to be eligible to donate COVID‐19 convalescent plasma at the beginning of the pandemic in the United States (i.e. prior to FDA requirements for specific titres). Individuals aged at least 18 years who had a history of COVID‐19 as confirmed by a positive molecular test for SARS‐CoV‐2 were eligible to participate in the study. Recruitment was undertaken using a combination of self‐identification (in response to advertising or media postings) and referral from healthcare providers. Initial screening was conducted telephonically: individuals were informed that they needed to satisfy standard eligibility criteria for blood donation. Notable exclusion criteria included pregnancy in the preceding six weeks and/or an established diagnosis or risk factors for transfusion‐transmitted infections (notably HIV, hepatitis B virus or hepatitis C virus). Those who passed the initial telephonic screening were invited to participate in the study. Basic demographic information (age, sex, hospitalization with COVID‐19) was collected, and the original diagnosis of SARS‐CoV‐2 infection was confirmed by medical chart review or sharing of source documentation. Enrolment was performed under full informed consent after which ~25 ml of whole blood was collected in ACD tubes. The samples were separated into plasma and peripheral blood mononuclear cells within 12 h of collection. The plasma samples were immediately frozen at −80°C. The study was approved by the Johns Hopkins University School of Medicine Institutional Review Board prior to initiation.

ABO testing

Manual reverse group testing (i.e. determination of group A and group B antibodies) of the subjects’ samples was performed in accordance with the AABB (formerly American Association of Blood Banks) procedure for manual, tube‐based testing with A1 and B cells [21]. Agglutination reactivity was graded from 0 to 4+. Agglutination reactions of weak to 2 + were verified by repeat testing, of which all samples confirmed the same ABO blood group.

IgG, IgA and nAb titres

IgA, IgG and nAbs were quantified as previously described [22]. Briefly, Euroimmun anti‐SARS‐CoV‐2 IgG and IgA ELISAs (Mountain Lakes, NJ) for the S1 domain of spike protein were utilized per the manufacturer’s instructions. The optical density (OD) of the sample divided by calibrator provided arbitrary unit ratio (A.U.) that ≥1·1 were considered positive and ≥0·8 to <1·1 were considered indeterminate. Continuous AU values were interpreted as anti‐SARS‐CoV‐2 IgG and IgA titre levels. Quantification of nAb titres against 100 fifty per cent tissue culture infectious doses (TCID50) was performed using a microneutralization (NT) assay. nAb area under the curve (AUC) values were estimated using the exact number of wells protected from infection at every plasma dilution; samples that had no NT activity were assigned an arbitrary value of one‐half of the lowest nAb AUC. The overall distribution of nAb AUC values in this sample was a median of 60 (interquartile range [IQR]: 10, 150). For analytic purposes and consistency with our previous analyses using early recommendations by the FDA, nAb AUC values ≥160 were considered to indicate high neutralization potency [23, 24].

Statistical analysis

Characteristics of the study population were examined overall and stratified by ABO blood group using descriptive statistics. The primary study outcome was nAb titres to SARS‐CoV‐2 (AUC value); IgA and IgG antibody levels to the spike‐1 protein of SARS‐CoV‐2 (A.U.) were examined as secondary outcomes. Continuous titre outcome measures were log2‐transformed to approximate normal distributions. Differences in the distribution of titre outcome measures were examined by ABO blood group using global non‐parametric Kruskal–Wallis tests. The association of ABO blood group with nAb titres was further examined using univariable and multivariable ordinary least‐squares linear regression. To assess whether ABO blood group is an independent correlate of nAb titres, the primary multivariable model included all covariates that have previously been shown to be determinants of SARS‐CoV‐2 antibody responses: age, sex, hospitalization status and time since first PCR‐positive test date for SARS‐CoV‐2 [22]. To further assess the primary outcome, the association between blood type and a high neutralizing antibody titre AUC value (≥160) was also examined, similar to previous investigations [24].For this analysis, prevalence ratios and adjusted prevalence ratios (aPR) were estimated by univariable and multivariable Poisson regression models with robust variance. The multivariable Poisson model included all covariates previously described. In our conceptual framework, race/ethnicity was not considered as a potential covariate since it is a social construct and we are unaware of existing evidence that indicates it is a determinant of SARS‐CoV‐2 antibody responses. However, since blood type is linked to race/ethnicity, a sensitivity analysis was performed that included adjustment for race/ethnicity (White vs. all other races due to sparse data). A likelihood‐ratio test was used to assess whether inclusion of this race/ethnicity variable improved model fit to the data as compared to the multivariable linear regression model used in the primary analysis. The Akaike’s information criterion (AIC) was also compared between the multivariable models. Since the majority of the sample population was White, a separate sensitivity analysis was also performed restricted to White donors. Finally, since this sample is selected on those who recovered from COVID‐19 and hospitalization status may potentially be influenced by ABO type, a sensitivity analysis was conducted restricted to donors who were known to not have a history of hospitalization due to COVID‐19 (i.e. mild/moderate cases). All P values are two‐sided. Analyses were performed in Stata/MP, version 15.1 (StataCorp, College Station, TX, USA).

Results

A total of 202 unique study participants were evaluated (Table 1). Overall, at the time of sample collection, the median number of days since PCR + nasal pharyngeal swab was 46 days (interquartile range [IQR], 39–56 days). The median age was 43 years (IQR: 32–56), and 53% were male; 76% were White. A total of 15 (7%) reported prior hospitalization for COVID‐19 (Table 1). Of the study population, 85 (42%) were blood group O, 65 (32%) were blood group A, 39 (19%) were blood group B, and 13 (6%) were blood group AB. Table 1 also provides sociodemographic and clinical characteristics of the study population stratified by ABO blood group. Of note, the median age was 48 (IQR: 34–57) years among donors with blood group A, 47 (IQR: 36–63) years among donors with blood group B, 43 (32–58) years among donors with blood group AB and 39 (IQR = 30–50) years among donors with blood group O.
Table 1

Characteristics of the study population overall and stratified by ABO blood group

CharacteristicOverall (n = 202)Blood group
A (n = 65)B (n = 39)AB (n = 13)O (n = 85)
Median age (IQR), years43 (32–56)48 (34–57)47 (36–63)43 (32–58)39 (30–50)
Age group, years
18–2940 (20%)11 (17%)5 (13%)3 (23%)21 (25%)
30–3942 (21%)10 (15%)7 (18%)3 (23%)22 (26%)
40–4943 (21%)13 (20%)11 (28%)1 (8%)18 (21%)
50–5940 (20%)17 (26%)4 (10%)4 (31%)15 (18%)
≥6037 (18%)14 (22%)12 (31%)2 (15%)9 (11%)
Sex
Female94 (47%)28 (43%)19 (49%)6 (46%)41 (48%)
Male108 (53%)37 (57%)20 (51%)7 (54%)44 (52%)
Race/ethnicity
White154 (76%)52 (80%)26 (67%)11 (85%)65 (76%)
Black9 (4%)0 (0%)3 (8%)0 (0%)6 (7%)
Hispanic8 (4%)2 (3%)0 (0%)0 (0%)6 (7%)
Asian22 (11%)8 (12%)7 (18%)1 (8%)6 (7%)
Mixed/Other/Unknown9 (4%)3 (5%)3 (8%)1 (8%)2 (2%)
Hospitalized (severity)
No185 (92%)60 (92%)37 (95%)12 (92%)76 (89%)
Yes15 (7%)4 (6%)2 (5%)0 (0%)9 (11%)
Unknown2 (1%)1 (2%)0 (0%)1 (8%)0 (0%)
Median days since PCR + (IQR)46 (39–56)43 (39–51)43 (35–56)46 (39–55)49 (42–59)

Abbreviations: IQR, interquartile range; PCR, polymerase chain reaction.

Characteristics of the study population overall and stratified by ABO blood group Abbreviations: IQR, interquartile range; PCR, polymerase chain reaction. There were no significant differences in the distribution of anti‐SARS‐CoV‐2 IgG and IgA levels by ABO blood groups (Fig. 1a,b). In contrast, the distribution of nAb titre AUC values varied significantly by ABO blood group (Kruskal–Wallis, P = 0·018; Fig. 1c). The mean nAb log2(AUC) value was 5·5 (standard deviation [SD] = 2·4) among donors with blood group A, 6.4 (SD = 2·4) among donors with blood group B, 4·4 (SD = 2·1) among donors with blood group AB and 5·3 (SD = 2·2) among donors with blood group O. In multivariable linear regression analysis, donors with blood group B had significantly higher nAb titres (log2[AUC]) than donors with blood group O (adjusted β = 0·9 [95% CI: 0·1, 1·8], P = 0·026) (Table 2). Donors with blood group A (adjusted β = −0·9 [95% CI: −1·8, −0·1], P = 0·031) and blood group AB (adjusted β = −2·0 [95% CI: −3·4, −0·6], P = 0·005) had significantly lower nAb titres than donors with blood group B.
Fig. 1

Distribution of IgA, IgG and neutralizing antibody titres to SARS‐CoV‐2 by ABO blood group in eligible convalescent plasma donors. Box‐and‐whisker plots were used to depict the median (thick horizontal line), interquartile ranges and upper/lower extreme limits. The red diamond depicts the arithmetic mean. Circles depict the individual data points. P values were determined from non‐parametric Kruskal–Wallis tests.

Table 2

Association of ABO blood group with neutralizing antibody titres to SARS‐CoV‐2 in eligible convalescent plasma donors

Blood group (vs. reference blood group)SARS‐CoV‐2 neutralizing titre AUC, log2(arbitrary units)
UnivariableMultivariable
β (95% CI) a P valueβ (95% CI) b P value
A vs. O0·2 (−0·6, 0·9)0·6370·0 (−0·7, 0·7)0·994
B vs. O 1·1 (0·2, 2·0) 0·014 0·9 (0·1, 1·8) 0·026
AB vs. O‐0·9 (−2·2, 0·5)0·201‐1·0 (−2·3, 0·3)0·116
A vs. B ‐0·9 (−1·9, −0·0) 0·048 ‐0·9 (−1·8, −0·1) 0·031
AB vs. B ‐2·0 (−3·5, −0·5) 0·008 ‐2·0 (−3·4, −0·6) 0·005
A vs. AB1·1 (−0·3, 2·5)0·1311·0 (−0·3, 2·4)0·120

Abbreviations: AUC, area under the curve; CI, confidence interval; PR, prevalence ratio.

Bold values correspond to statistically significant findings.

β represents the absolute difference in log2 SARS‐CoV‐2 nAb AUC value with the reference group as estimated by univariable linear regression.

β represents the absolute difference in log2 SARS‐CoV‐2 nAb AUC value with the reference group after adjusting for blood group, age, sex, hospitalization status and time since first PCR + test for SARS‐CoV‐2 infection, as estimated by multivariable linear regression.

Crude prevalence ratios for SARS‐CoV‐2 nAb AUC ≥ 160 were estimated from univariable modified Poisson regression models with robust variance.

Adjusted prevalence ratios for SARS‐CoV‐2 nAb AUC ≥ 160 were estimated from multivariable Poisson regression models with robust variance. The multivariable model included adjustment for age, sex, hospitalization status and time since first PCR + test for SARS‐CoV‐2 infection.

Group AB had no observations with SARS‐CoV‐2 nAb AUC ≥ 160; thus, estimates were not calculated.

Distribution of IgA, IgG and neutralizing antibody titres to SARS‐CoV‐2 by ABO blood group in eligible convalescent plasma donors. Box‐and‐whisker plots were used to depict the median (thick horizontal line), interquartile ranges and upper/lower extreme limits. The red diamond depicts the arithmetic mean. Circles depict the individual data points. P values were determined from non‐parametric Kruskal–Wallis tests. Association of ABO blood group with neutralizing antibody titres to SARS‐CoV‐2 in eligible convalescent plasma donors Abbreviations: AUC, area under the curve; CI, confidence interval; PR, prevalence ratio. Bold values correspond to statistically significant findings. β represents the absolute difference in log2 SARS‐CoV‐2 nAb AUC value with the reference group as estimated by univariable linear regression. β represents the absolute difference in log2 SARS‐CoV‐2 nAb AUC value with the reference group after adjusting for blood group, age, sex, hospitalization status and time since first PCR + test for SARS‐CoV‐2 infection, as estimated by multivariable linear regression. Crude prevalence ratios for SARS‐CoV‐2 nAb AUC ≥ 160 were estimated from univariable modified Poisson regression models with robust variance. Adjusted prevalence ratios for SARS‐CoV‐2 nAb AUC ≥ 160 were estimated from multivariable Poisson regression models with robust variance. The multivariable model included adjustment for age, sex, hospitalization status and time since first PCR + test for SARS‐CoV‐2 infection. Group AB had no observations with SARS‐CoV‐2 nAb AUC ≥ 160; thus, estimates were not calculated. The prevalence of high nAb titres (AUC ≥ 160) was 25% (16/65) among donors with blood group A, 44% (17/39) among donors with blood group B, 0% (0/13) among donors with blood group AB and 20% (17/85) among donors with blood group O. Notably, donors with blood group B were significantly more likely to have high nAb titres than donors with blood group O (aPR = 1·9 [95% CI = 1·1, 3·3], P = 0·029) (Table 2). In addition, fewer donors had a high nAb titre among those with blood group A, compared to those with group B (aPR = 0·6 [95%CI = 0·4, 1·0], P = 0·053). Effect estimates for other covariates in the primary linear regression and modified Poisson regression models are shown in Table S1. Multivariable regression results were insensitive to adjustment for race/ethnicity (Table S2). Inclusion of race/ethnicity in the multivariable linear regression model did not significantly improve model fit to the data based on a likelihood‐ratio test (likelihood‐ratio χ2 = 2·47, P = 0·116). This was further supported by minimal change in the AIC value between the linear regression models (primary analysis multivariable model: AIC = 874·6 vs. sensitivity analysis multivariable model with race/ethnicity: AIC = 874·2). When the analysis was restricted to White donors, the comparison of nAb levels between donors with blood group A vs. B was significantly attenuated (Table S3). However, all other results in the White donor sample remained in the same direction of association as the primary analysis. Associations observed in the analysis restricted to donors who did not have a history of hospitalization were consistent with those observed in the primary analysis (Table  ).

Discussion

The ABO blood group of an individual has been suggested to impact the risk of susceptibility to SARS‐CoV‐2 infection and/or disease severity in COVID‐19. Using a sampling of convalescent individuals, we sought to determine whether there were differences in antibodies against SARS‐CoV‐2 by ABO type. Although significant differences in anti‐spike IgA or anti‐spike IgG by ABO blood group were not detected, those individuals of blood group B had higher nAb titres, especially when compared to those who were group AB and group O. There were also significantly more individuals with blood group B than blood group O with high nAb titres (≥1:160). A growing number of studies suggest that ABO type plays a role in the pathogenesis of COVID‐19 [2, 4, 5, 6, 25, 26]. A large genome‐wide association analysis of patients with COVID‐19‐induced respiratory failure identified genetic susceptibility at the ABO blood group locus, offering a biological basis for an association with ABO type [27]. In the same study, group A was associated with a significantly higher risk of COVID‐19, while group O was observed to have lower risk. This finding has been reported in other studies [2, 4, 6, 27]. Further, a lower prevalence of nAbs against SARS‐CoV‐2 was reported among group O individuals (compared with donors of other types) in a large cross‐sectional sample of asymptomatic French blood donors [9]. This suggested an effect on susceptibility to infection (i.e. relative protection in the case of group O individuals), and not only clinical outcomes. Why blood group B individuals should have higher SARS‐CoV‐2 titres is unknown. While speculative, one possibility is cross‐reactivity between the virus and the B antigen, thus stimulating antibody production. Alternatively, the viral antigen may appear more foreign to individuals who are blood group B compared with blood group A or O. Further research is needed in this regard. Nonetheless, blood groups have long been recognized to interact with diverse viruses, parasites and bacteria, playing a role in both susceptibility to infection and severity of resulting disease [10]. While an association between ABO type and nAb titres was demonstrated in our study, this was not the case for ABO type and IgG or IgA against spike protein. The titres of nAbs have been shown to correlate well – albeit not perfectly – with those of antibodies against spike protein or receptor binding domain, as determined using clinical assays (i.e. ELISAs) [28, 29, 30, 31, 32]. Other factors (e.g. advanced age, male sex and hospitalization status) that are known to impact the antibody response to SARS‐CoV‐2 were controlled for in the study [22]. The kinetics of the humoral response to SARS‐CoV‐2 are still being learned [24, 33, 34, 35]. While speculative, there are many factors that could account for the conflicting finding across studies investigating the relationship between ABO group and COVID‐19. For one, there are differences in the populations that are being studied. While the racial distribution in our study population was representative of the U.S. blood donor population (i.e. over‐representation of White patients), the ABO blood group distribution was disproportionately skewed towards group B and AB individuals. Specifically, the expected frequencies by ABO type in a US donor population for groups O, A, B and AB are 45%, 40%, 11% and 4%, respectively [21]; by contrast, the observed frequencies in our study were 42%, 32%, 19% and 6%, respectively. Of note, a previous study reported over‐representation of group A and under‐representation of group O in White patients with COVID‐19, yet did not observe a difference in Black or Hispanic patients [6]. This study has limitations. For one, it was confined to a cross‐sectional convenience sample of eligible donors from the Baltimore/Washington DC metropolitan areas. The small sample size particularly for some blood types (e.g. AB) may have resulted in sparse data bias and prevented us from conducting additional stratified analyses, including by titre. Second, selection of prospective blood donors may also limit generalizability, as these donors are not representative of a general population, with respect to both race/ethnicity and health status [36]. Selection is also skewed towards COVID‐19 survivors who were sufficiently healthy to be recruited as convalescent plasma donors. By extension, the low proportion of subjects who had been hospitalized reflects individuals with a lower index of disease severity. In short, the study sample is unlikely to be representative of all patients with COVID‐19 and additional studies that address disease severity by ABO type are needed. Third, only plasma was available for testing; this precluded forward typing of the red cells; that is, the ABO group was presumed based on the reverse typing. Fourth, this study population had a higher‐than‐expected proportion of group B and AB patients. However, sensitivity analyses confirm the findings of the higher titres are not due to the racial/ethnic composition of the study population. Fifth, titering of ABO isoagglutinins was not undertaken. That could have provided further insight. This study also did not evaluate IgM; while one cannot rule out the possibility that IgM accounts for the observed differences with the neutralization assay, it is was deemed unlikely given the time since test positivity (i.e. a surrogate of the initial infection). When combined with incubation and duration of symptomatic disease, IgM was considered to be an unreliable marker whereby the majority of individuals were at least six weeks from initial diagnosis. Finally, there may be residual and unmeasured confounding from variables that have not been considered. In conclusion, individuals with blood group B who survive COVID‐19 may potentially have higher nAb titres against SARS‐CoV‐2 compared with survivors of other blood groups, particularly blood group O. Further work is warranted in different populations to test generalizability of these results.

Funding

This work was supported in part by the National Institute of Allergy and Infectious Diseases (NIAID) AI052733 and AI15207 (A.C.); NIAID R01AI120938, R01AI120938S1 and R01AI128779 (A.A.R.T); NIAID T32AI102623 (E.U.P.); the Division of Intramural Research, NIAID, NIH (O.L., A.R., T.Q.); National Heart Lung and Blood Institute 1K23HL151826‐01 (E.M.B) and R01HL059842 (A.C.), Bloomberg Philanthropies (A.C.); Department of Defense W911QY2090012 (D.S.).

Conflict of interests

EMB reports personal fees and non‐financial support from Terumo BCT, Grifols Diagnostics Solutions and Abbott Laboratories outside of the submitted work; EMB is a member of the United States Food and Drug Administration (FDA) Blood Products Advisory Committee. Any views or opinions that are expressed in this manuscript are those of the authors, based on his own scientific expertise and professional judgement; they do not necessarily represent the views of either the Blood Products Advisory Committee or the formal position of FDA, and also do not bind or otherwise obligate or commit either advisory committee or the agency to the views expressed. Table S1. Full multivariable model results from primary analysis of associations with neutralizing antibody titers to SARS‐CoV‐2 in eligible convalescent plasma donors. Table S2. Sensitivity analysis: Association of ABO blood group with neutralizing antibody titers to SARS‐CoV‐2 in eligible convalescent plasma donors adjusting for race/ethnicity. Table S3. Sensitivity analysis: Association of ABO blood group with neutralizing antibody titers to SARS‐CoV‐2 in eligible convalescent plasma donors who identified as white. Table S4. Sensitivity analysis: Association of ABO blood group with neutralizing antibody titers to SARS‐CoV‐2 in eligible convalescent plasma donors without a history of hospitalization due to COVID‐19. Click here for additional data file.
  33 in total

1.  A serological assay to detect SARS-CoV-2 seroconversion in humans.

Authors:  Fatima Amanat; Daniel Stadlbauer; Shirin Strohmeier; Thi H O Nguyen; Veronika Chromikova; Meagan McMahon; Kaijun Jiang; Guha Asthagiri Arunkumar; Denise Jurczyszak; Jose Polanco; Maria Bermudez-Gonzalez; Giulio Kleiner; Teresa Aydillo; Lisa Miorin; Daniel S Fierer; Luz Amarilis Lugo; Erna Milunka Kojic; Jonathan Stoever; Sean T H Liu; Charlotte Cunningham-Rundles; Philip L Felgner; Thomas Moran; Adolfo García-Sastre; Daniel Caplivski; Allen C Cheng; Katherine Kedzierska; Olli Vapalahti; Jussi M Hepojoki; Viviana Simon; Florian Krammer
Journal:  Nat Med       Date:  2020-05-12       Impact factor: 53.440

Review 2.  Deployment of convalescent plasma for the prevention and treatment of COVID-19.

Authors:  Evan M Bloch; Shmuel Shoham; Arturo Casadevall; Bruce S Sachais; Beth Shaz; Jeffrey L Winters; Camille van Buskirk; Brenda J Grossman; Michael Joyner; Jeffrey P Henderson; Andrew Pekosz; Bryan Lau; Amy Wesolowski; Louis Katz; Hua Shan; Paul G Auwaerter; David Thomas; David J Sullivan; Nigel Paneth; Eric Gehrie; Steven Spitalnik; Eldad A Hod; Lewis Pollack; Wayne T Nicholson; Liise-Anne Pirofski; Jeffrey A Bailey; Aaron Ar Tobian
Journal:  J Clin Invest       Date:  2020-06-01       Impact factor: 14.808

3.  COVID-19 and ABO blood group: another viewpoint.

Authors:  Christiane Gérard; Gianni Maggipinto; Jean-Marc Minon
Journal:  Br J Haematol       Date:  2020-06-08       Impact factor: 6.998

4.  Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

Authors:  David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustín Albillos; Pietro Invernizzi; Javier Fernández; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit M Grimsrud; Chiara Milani; Fátima Aziz; Jan Kässens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raúl de Pablo; Adolfo G Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Carreras Nolla; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julià; Antonio Pesenti; Antonio Voza; David Jiménez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Cinzia Paccapelo; Christoph Gassner; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestaña; Eduardo Muñiz-Diaz; Elena Sandoval; Elvezia M Paraboschi; Enrique Navas; Félix García Sánchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Téllez; Albert Blanco-Grau; Georg Hemmrich-Stanisak; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Iván Galván-Femenia; Javier Martín; Jeanette Erdmann; Jose Ferrusquía-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura R Bettini; Lauro Sumoy; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Malte C Rühlemann; Marco Schaefer; Maria Carrabba; Mar Riveiro-Barciela; Maria E Figuera Basso; Maria G Valsecchi; María Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angiò; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodríguez-Gandía; Monica Bocciolone; Monica Miozzo; Nicola Montano; Nicole Braun; Nicoletta Sacchi; Nilda Martínez; Onur Özer; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M Rodrigues; Aaron Blandino Ortiz; Rafael de Cid; Ricard Ferrer; Roberta Gualtierotti; Rosa Nieto; Siegfried Goerg; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Simonas Juzenas; Stefano Aliberti; Valter Monzani; Victor Moreno; Tanja Wesse; Tobias L Lenz; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero-Gómez; Mauro D'Amato; Stefano Duga; Jesus M Banales; Johannes R Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom H Karlsen
Journal:  N Engl J Med       Date:  2020-06-17       Impact factor: 91.245

5.  ABO phenotype and death in critically ill patients with COVID-19.

Authors:  Rebecca K Leaf; Hanny Al-Samkari; Samantha K Brenner; Shruti Gupta; David E Leaf
Journal:  Br J Haematol       Date:  2020-07-30       Impact factor: 8.615

Review 6.  How did we rapidly implement a convalescent plasma program?

Authors:  Alexandra Budhai; Annie A Wu; Lucette Hall; Donna Strauss; Sarai Paradiso; Jill Alberigo; Christopher D Hillyer; Betsy Jett; Aaron A R Tobian; Evan M Bloch; Bruce S Sachais; Beth H Shaz
Journal:  Transfusion       Date:  2020-06-11       Impact factor: 3.337

7.  Blood type and outcomes in patients with COVID-19.

Authors:  Christopher A Latz; Charles DeCarlo; Laura Boitano; C Y Maximilian Png; Rushad Patell; Mark F Conrad; Matthew Eagleton; Anahita Dua
Journal:  Ann Hematol       Date:  2020-07-12       Impact factor: 3.673

8.  Inhibition of the interaction between the SARS-CoV spike protein and its cellular receptor by anti-histo-blood group antibodies.

Authors:  Patrice Guillon; Monique Clément; Véronique Sébille; Jean-Gérard Rivain; Chih-Fong Chou; Nathalie Ruvoën-Clouet; Jacques Le Pendu
Journal:  Glycobiology       Date:  2008-09-25       Impact factor: 4.313

9.  Association between ABO blood groups and risk of SARS-CoV-2 pneumonia.

Authors:  Juyi Li; Xiufang Wang; Jian Chen; Yi Cai; Aiping Deng; Ming Yang
Journal:  Br J Haematol       Date:  2020-05-26       Impact factor: 6.998

10.  Anti-A isohaemagglutinin titres and SARS-CoV-2 neutralization: implications for children and convalescent plasma selection.

Authors:  Daniele Focosi
Journal:  Br J Haematol       Date:  2020-07-08       Impact factor: 8.615

View more
  8 in total

1.  Antibody response to BNT162b2 SARS-CoV-2 mRNA vaccine is not influenced by AB0 blood group in subjects with transfusion-dependent thalassemia.

Authors:  Nicola Sgherza; Stefania Zucano; Angelantonio Vitucci; Antonio Palma; Daniela Campanale; Angela Maria Vittoria Larocca; Domenico Visceglie; Amalia Acquafredda; Pellegrino Musto
Journal:  Acta Biomed       Date:  2022-05-11

2.  Blood group O convalescent plasma donations have significantly lower levels of SARS-CoV-2 IgG antibodies compared to blood group A donations.

Authors:  Chelsea Hayes; Wesley Rubenstein; David Gibb; Ellen Klapper; Julie Tanaka; Samuel Pepkowitz
Journal:  Transfusion       Date:  2021-05-27       Impact factor: 3.337

Review 3.  ABO blood group and COVID-19: a review on behalf of the ISBT COVID-19 Working Group.

Authors:  Ruchika Goel; Evan M Bloch; France Pirenne; Arwa Z Al-Riyami; Elizabeth Crowe; Laetitia Dau; Kevin Land; Mary Townsend; Thachil Jecko; Naomi Rahimi-Levene; Gopal Patidar; Cassandra D Josephson; Satyam Arora; Marion Vermeulen; Hans Vrielink; Celina Montemayor; Adaeze Oreh; Salwa Hindawi; Karin van den Berg; Katherine Serrano; Cynthia So-Osman; Erica Wood; Dana V Devine; Steven L Spitalnik
Journal:  Vox Sang       Date:  2021-02-12       Impact factor: 2.996

4.  SARS-COV-2 antibody dynamics and B-cell memory response over-time in COVID-19 convalescent subjects.

Authors:  Anat Achiron; Michael Gurevich; Rina Falb; Sapir Dreyer-Alster; Polina Sonis; Mathilda Mandel
Journal:  Clin Microbiol Infect       Date:  2021-05-08       Impact factor: 8.067

5.  Demographic and Clinical Factors Associated with Reactivity of Anti-SARS-CoV-2 Antibodies in Serbian Convalescent Plasma Donors.

Authors:  Jasmina Grujić; Nevenka Bujandrić; Zorana Budakov-Obradović; Vladimir Dolinaj; Damir Bogdan; Nebojša Savić; Alejandro Cabezas-Cruz; Dragana Mijatović; Verica Simin; Nikola Anđelić; Pavle Banović
Journal:  Int J Environ Res Public Health       Date:  2021-12-21       Impact factor: 3.390

6.  COVID-19 convalescent plasma.

Authors:  Aaron A R Tobian; Claudia S Cohn; Beth H Shaz
Journal:  Blood       Date:  2022-07-21       Impact factor: 25.476

7.  Longitudinal SARS-CoV-2 Seroconversion Course and Antibody Levels by Blood Groups in Convalescent Plasma Donors in Turkey.

Authors:  Aziz Karaca; Mustafa Nuri Guncikan; Nazlı Nadire Sozmen; Gizem Gokce Karadag; Mustafa Yilmaz; Kerem Kinik; Fatma Meric Yilmaz
Journal:  Medeni Med J       Date:  2021-09-30

8.  Confounding Factors Influencing the Kinetics and Magnitude of Serological Response Following Administration of BNT162b2.

Authors:  Jean-Louis Bayart; Laure Morimont; Mélanie Closset; Grégoire Wieërs; Tatiana Roy; Vincent Gerin; Marc Elsen; Christine Eucher; Sandrine Van Eeckhoudt; Nathalie Ausselet; Clara David; François Mullier; Jean-Michel Dogné; Julien Favresse; Jonathan Douxfils
Journal:  Microorganisms       Date:  2021-06-21
  8 in total

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