Building Synthetic Biosensors Using Red Blood Cell Proteins

As the use of engineered cell therapies expands from pioneering efforts in cancer immunotherapy to other applications, an attractive but less explored approach is the use of engineered red blood cells (RBCs). Compared to other cells, RBCs have a very long circulation time and reside in the blood compartment, so they could be ideally suited for applications as sentinel cells that enable in situ sensing and diagnostics. However, we largely lack tools for converting RBCs into biosensors. A unique challenge is that RBCs remodel their membranes during maturation, shedding many membrane components, suggesting that an RBC-specific approach may be needed. Toward addressing this need, here we develop a biosensing architecture built on RBC membrane proteins that are retained through erythropoiesis. This biosensor employs a mechanism in which extracellular ligand binding is transduced into intracellular reconstitution of a split output protein (including either a fluorophore or an enzyme). By comparatively evaluating a range of biosensor architectures, linker types, scaffold choices, and output signals, we identify biosensor designs and design features that confer substantial ligand-induced signal in vitro. Finally, we demonstrate that erythroid precursor cells engineered with our RBC-protein biosensors function in vivo. This study establishes a foundation for developing RBC-based biosensors that could ultimately address unmet needs including noninvasive monitoring of physiological signals for a range of diagnostic applications.

Association of ABO, Rh-D and Kell blood groups with transfusion transmitted infections among blood donors from the Asir Region, Saudi Arabia: A retrospective observational study

OBJECTIVES

To evaluate the association between transfusion-transmitted infections (TTIs) and ABO, Rh-D, and Kell blood systems among blood donors.

METHODS

This was a retrospective study of 10,095 donors who visited the Blood Bank at Asir Hospital, Abha, Saudi Arabia. Data including demographic information, ABO, Rh-D, and Kell blood groups, and serological and molecular test results of TTIs (the TTIs were obtained from each donor's records). Chi-squared and Fisher's exact tests were employed to establish possible associations between blood groups and TTIs.

RESULTS

The prevalence rate of TTIs among donors was 6.3%, with HBcAb (70%) being the most prevalent biomarker among positive donors. Donors with the O blood group were at a higher risk of contracting TTIs. Significant associations were observed between HIV and blood group A (χ2=6.30, p=0.01), HBsAg and group AB (χ2=17.3193, p=0.00003), malaria and group A (χ2=5.0567, p=0.02), and HBV-DNA and group AB (χ2=12.3163, p=0.0004). Also, Kell blood group was significantly associated with HIV (χ2=14.5, p=0.0001), HBcAb (χ2=78.51, p<0.0001), and syphilis (χ2=25.225, p<0.00001).

CONCLUSION

ABO and Kell blood groups are associated with TTI markers. These findings highlight the need for improved strategies and approaches in screening and managing blood donations to minimize the risk of TTIs.

Building synthetic biosensors using red blood cell proteins

As the use of engineered cell therapies expands from pioneering efforts in cancer immunotherapy to other applications, an attractive but less explored approach is the use of engineered red blood cells (RBCs). Compared to other cells, RBCs have a very long circulation time and reside in the blood compartment, so they could be ideally suited for applications as sentinel cells that enable in situ sensing and diagnostics. However, we largely lack tools for converting RBCs into biosensors. A unique challenge is that RBCs remodel their membranes during maturation, shedding many membrane components, suggesting that an RBC-specific approach may be needed. Towards addressing this need, here we develop a biosensing architecture built on RBC membrane proteins that are retained through erythropoiesis. This biosensor employs a mechanism in which extracellular ligand binding is transduced into intracellular reconstitution of a split output protein (including either a fluorophore or an enzyme). By comparatively evaluating a range of biosensor architectures, linker types, scaffold choices, and output signals, we identify biosensor designs and design features that confer substantial ligand-induced signal in vitro. Finally, we demonstrate that erythroid precursor cells engineered with our RBC protein biosensors function in vivo. This study establishes a foundation for developing RBC-based biosensors that could ultimately address unmet needs including non-invasive monitoring of physiological signals for a range of diagnostic applications.

Genetic prediction of 33 blood group phenotypes using an existing genotype dataset

BACKGROUND

Accurate blood type data are essential for blood bank management, but due to costs, few of 43 blood group systems are routinely determined in Danish blood banks. However, a more comprehensive dataset of blood types is useful in scenarios such as rare blood type allocation. We aimed to investigate the viability and accuracy of predicting blood types by leveraging an existing dataset of imputed genotypes for two cohorts of approximately 90,000 each (Danish Blood Donor Study and Copenhagen Biobank) and present a more comprehensive overview of blood types for our Danish donor cohort.

STUDY DESIGN AND METHODS

Blood types were predicted from genome array data using known variant determinants. Prediction accuracy was confirmed by comparing with preexisting serological blood types. The Vel blood group was used to test the viability of using genetic prediction to narrow down the list of candidate donors with rare blood types.

RESULTS

Predicted phenotypes showed a high balanced accuracy >99.5% in most cases: A, B, C/c, Coa /Cob , Doa /Dob , E/e, Jka /Jkb , Kna /Knb , Kpa /Kpb , M/N, S/s, Sda , Se, and Yta /Ytb , while some performed slightly worse: Fya /Fyb , K/k, Lua /Lub , and Vel ~99%-98% and CW and P1 ~96%. Genetic prediction identified 70 potential Vel negatives in our cohort, 64 of whom were confirmed correct using polymerase chain reaction (negative predictive value: 91.5%).

DISCUSSION

High genetic prediction accuracy in most blood groups demonstrated the viability of generating blood types using preexisting genotype data at no cost and successfully narrowed the pool of potential individuals with the rare Vel-negative phenotype from 180,000 to 70.

RHCE and Kell genotyping and alloimmunization profile in patients with sickle cell disease in the Federal District of Brazil

INTRODUCTION

Sickle cell disease (SCD) is the most important hemoglobinopathy worldwide. The treatment often requires phenotype-matched red blood cell (RBC) transfusions, but alloimmunization to non-ABO antigens may occur in a part of the SCD patients. The genotyping has been used for RBC antigen prediction, reducing the possibility of the alloimmunization.

OBJECTIVE AND METHOD

In this study we performed the genotyping for the Kell and RHCE blood groups in samples from 77 phenotyped Brazilian SCD patients, whose alloimmunization profiles were also assessed.

RESULTS

Discrepancies between genotyping and phenotyping for the RHCE and Kell blood groups systems were observed in 22.07% (17/77) of the SCD patients. We found C/c and E/e discrepancies in 11.68% and 9.09% of patients, respectively; one SCD patient (1.3%) presented a discrepancy in the Kell group. Two SCD patients with discrepancies between genotype and phenotype were alloimmunized. In total, twenty-eight patients (36.4%) developed alloantibodies, of which 55.17% were directed against antigens in the Rh system, 8.62% were directed against antigens in the Kell system and 36.20%, against other groups. Finally, the frequency of discrepancies is significantly higher in non-alloimmunized patients (30.61%), compared to alloimmunized patients (7.14%) (p = 0.0217).

CONCLUSION

In part, the alloimmunization of the SCD patients may have been triggered by these discrepancies, indicating that the integration of serological and molecular tests in the immunohematology routine could help to increase the transfusion safety. However, the higher number of alloimmunized patients without discrepancies showed that reasons other than the discrepancies appear to have influenced more strongly the alloimmunization in the SCD patients in this study.

KEL1 negative red cell transfusions for females of current or future child-bearing potential: A clinical impact and feasibility study

BACKGROUND

Anti-K is an alloantibody stimulated in response to the KEL1 antigen and may cause hemolytic disease of the fetus and newborn (HDFN). Provision of KEL1 negative blood to females of child-bearing potential was not our practice. We assessed the impact of our policy and assessed feasibility of a KEL1 negative transfusion policy.

STUDY DESIGN AND METHODS

This is a cohort study spanning Jan 1, 2007-Jun 30, 2017 in Hamilton, Canada. Data were obtained via our institution's transfusion database. Chart reviews of females age ≤45 with anti-K were performed; data on RBC KEL1 phenotype were obtained from the blood supplier when needed to ascertain the cause of alloimmunization. Descriptive analysis of hospital KEL1 negative inventory demand and supply was performed.

RESULTS

From Jan 2007-Jun 2017, 8.6% of all RBC units transfused were provided to females age ≤45. There were 111 females with detectable anti-K. Median age at time of antibody detection was 34 years (interquartile range 27-40) and 28 of 111 (25.2%) patients may have been alloimmunized by transfusion. Of 49 pregnancies, seven had complications due to anti-K. We estimated that our existing RBC inventory (with 16% units known to be KEL1 negative in 2017) is sufficient to meet demand and support a KEL1 negative transfusion policy for females age ≤45.

CONCLUSION

Transfusion was responsible for alloimmunization in 25% of females with anti-K over 10 years. Analysis of supply and demand can be used to inform feasibility of a KEL1 negative transfusion policy.

A large cohort study of the effects of Lewis, ABO, 13 other blood groups, and secretor status on COVID-19 susceptibility, severity, and long COVID-19

BACKGROUND

Previous studies have reported Blood type O to confer a lower risk of SARS-CoV-2 infection, while secretor status and other blood groups have been suspected to have a similar effect as well.

STUDY DESIGN AND METHODS

To determine whether any other blood groups influence testing positive for SARS-CoV-2, COVID-19 severity, or prolonged COVID-19, we used a large cohort of 650,156 Danish blood donors with varying available data for secretor status and blood groups ABO, Rh, Colton, Duffy, Diego, Dombrock, Kell, Kidd, Knops, Lewis, Lutheran, MNS, P1PK, Vel, and Yt. Of these, 36,068 tested positive for SARS-CoV-2 whereas 614,088 tested negative between 2020-02-17 and 2021-08-04. Associations between infection and blood groups were assessed using logistic regression models with sex and age as covariates.

RESULTS

The Lewis blood group antigen Le^a displayed strongly reduced SARS-CoV-2 susceptibility OR 0.85 CI[0.79-0.93] p < .001. Compared to blood type O, the blood types B, A, and AB were found more susceptible toward infection with ORs 1.1 CI[1.06-1.14] p < .001, 1.17 CI[1.14-1.2] p < .001, and 1.2 CI[1.14-1.26] p < .001, respectively. No susceptibility associations were found for the other 13 blood groups investigated. There was no association between any blood groups and COVID-19 hospitalization or long COVID-19. No secretor status associations were found.

DISCUSSION

This study uncovers a new association to reduced SARS-CoV-2 susceptibility for Lewis type Le^a and confirms the previous link to blood group O. The new association to Le^a could be explained by a link between mucosal microbiome and SARS-CoV-2.

Features of the distribution of the antigens of Kell, Duffy, Kidd, MNS, Lewis, Lutheran blood group systems in blood donors in the Kirov region

The frequency of occurrence of antigens of the Kell (Kpa, Kpb), Kidd, Duffy, MNS and Lutheran systems in donors of the Kirov region corresponds to the distribution of antigens characteristic of white Europeans. Antigens K (Kell system) and Lea (Lewis system) are detected in the population of the region much less frequently, antigen Leb (Lewis system) - more often than in the population of Europe. The presence of a registry of donors typed according to a wide range of red blood antigens is a prerequisite for the immunohematological safety of blood transfusions.

ABO, Rh, and kell blood group antigen frequencies in blood donors at the tertiary care hospital of Northwestern India

BACKGROUND:

This study was performed to provide information on frequencies of ABO, Rh & Kell antigens/alleles, phenotype in blood donors at Blood Bank, SMS hospital, Jaipur and to compare them with other races.

METHODOLOGY:

This study was conducted on blood donors from April 2016 to March 2017 using a fully automated system for ABO,Rh & Kell typing of blood cells. D, C, c, E, e & K antigens were typed using monoclonal antisera from Immucor The data were collected and calculations done to determine the antigen/allele, phenotype. The chi square test 3 degree of freedom with P < 0.001 (S) was used for comparisons between the results of our study and those of other studies.

RESULTS:

A total of 8067 donors were included in this study. Maximum donors was of B blood group (39.4%) of age 18-25(35.5%) with 60-69kg weight (65%). The most common Rh antigen found was e(99.3%) followed by D (93.8%), C (85.4%), c (60.1%), E (17.5%). R1r (DCCee) was the most common phenotype in our study (39.5%). Kell (K+) antigen was present in 2.7% of donors.

CONCLUSION:

We have determined the prevalence of Rh antigens and Rh phenotypes in blood donor at our hospital and derived the allele frequencies in the same population.

HLA-DRB1 molecules and the presentation of anchor peptides from RhD, RhCE, and KEL proteins

BACKGROUND

Antigens from the Rh and Kell systems are recognized as the most immunogenic in clinical practice. This study evaluated the possible molecular mechanisms involved in the interaction of antigenic peptides with the DRB1 molecules, which help to explain the high frequency of anti-K and association of D + C antibodies in transfusion and incompatible pregnancy.

STUDY DESIGN AND METHODS

We included 201 patients with antibodies against antigens from the Rh and Kell systems and compare them with 174,015 controls. HLA-DRB1 genotyping and in silico analysis were performed. The NetMHCIIpan software was used to identify RhD-, RhCE-, and KEL-derived anchor peptides that bind to DRB1 molecules.

RESULTS

HLA-DRB1*15 is associated with an increased risk of D, C, E, and K alloimmunization, while the HLA-DRB1*01 and *12 alleles are overrepresented in patients with anti-C and anti-D, respectively. In silico analysis showed that three polymorphic points (60I, 68S, and 103S) common to C and D antigens can be presented by several DRB1 molecules, including DRB1*15:01. The DRB1*09:01 molecule, although not showing statistical significance, was able to interact strongly with almost all five anchor peptides from the sequence containing the polymorphic determinants of E antigen, except 217-WMFWPSVNS-225.

CONCLUSION

The DRB1*15 molecule has specific physicochemical characteristics in residues 11P and 13R in the P4 pocket that can favor the response to various antigenic peptides. Anti-K alloimmunization is unrestricted for interaction with specific DRB1 molecules, which suggests that almost all individuals in our population have DRB1 molecules capable of binding to KEL-derived anchor peptides and produce anti-K when stimulated.

[Interpretation of the results of immunohematological tests in hematological patients.]

The correct determination of the blood types of the recipient and the donor is very importante for the choice of blood components for transfusion. As a result of the study, it was established that 18.0% of patients, admitted to the hematology clinic, have difficulties in interpreting of the results of immunohematological tests. Most often, a double population of red blood cells was detected when determining antigens of the Rhesus system (10.9%), auto- (3.9%) and alloantibodies (2.8%). The proposed algorithm for the selection of donor red blood cells in difficult diagnostic cases helps to prevent the development of post-transfusion complications.

Blood group phenotype frequencies in blood donors from a tertiary care hospital in north India

BACKGROUND

Knowledge about the frequency of red blood cell-antigen phenotypes in a population can be helpful in the creation of a donor data bank for the preparation of indigenous cell panels and for providing antigen-negative compatible blood to patients with multiple alloantibodies.

METHODS

ABO and RhD blood grouping was performed on 9,280 continuous voluntary and replacement donors. For other rare blood groups, 508 ACD blood samples were obtained from the donors at the Blood Bank of the Department of Transfusion Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India. Blood group antigens were determined by tube method using anti-sera (Bio-Rad, USA), and the phenotype frequencies were expressed as percentages.

RESULTS

Group B (37.39%) was the most common, followed by group O (31.85%). R1R1 and rr were the most common phenotypes amongst Rh positive and Rh negative groups, respectively. A rare phenotype R2Rz was found in one donor. For Kidd and Duffy blood group systems, Jk (a+b+) and Fy (a+b+) were the most common phenotypes (46.06% and 48.03%, respectively). The most common phenotypes for MNSs, Lu, and Kell blood groups were M+N+, S-s+, Lu (a-b+), and K-k+, respectively. A very rare case of Fy (a-b-) and Jk (a-b-) was found in a single donor.

CONCLUSION

This study is the first small step to create a rare donor data bank and to prepare indigenous cell panels to provide compatible blood to all multi-transfused alloimmunized patients.