Comparison of antibody-based immunotherapeutics for malignant hematological disease in an experimental murine model.

Antibody-based immunotherapies have revolutionized leukemia and lymphoma treatment, with animal studies being crucial in evaluating effectiveness and side effects. By targeting the evolutionary conserved Slamf7 immune receptor, which is naturally expressed by the murine multiple myeloma cell line MPC-11, we have developed a syngeneic mouse model for direct comparison of 3 immunotherapies: monoclonal antibodies (mAb), bispecific T-cell engagers (BiTE), and chimeric antigen receptor (CAR) T cells (CART), all targeting Slamf7. Slamf7-BiTE is a bispecific single-chain antibody consisting of α-Slamf7 and α-CD3 Fv fragments joined through a Gly-Ser linker, and Slamf7-CART comprises the α-Slamf7 Fv fragment fused to the msCD8α transmembrane and msCD28, 4-1BB, and CD3ζ intracellular signaling domains.

Drug-Related Problems Increase Healthcare Costs for People Living with Dementia.

Background: Drug-related problems (DRP) are common in the elderly population, especially in people living with dementia (PwD). DRP are associated with adverse outcomes that could result in increased costs.

Objective: The objective of the study was to analyze the association between DRP and healthcare costs in PwD.

Serological interpretation--theoretical limits to information from blocking.

Contemporary immunogenetics uses a symbolism that tacitly assumes a one-to-one correspondence between genes, antigens, and antibody reagents that identify these. Thus a particular gene will be symbolized by an identifier, say X, and the reagent that supposedly uniquely identifies X is called anti-X. Ultimately, the precise relation between genes and antibody reagents will be determined by molecular techniques.

Symbolic reinterpretation of HLA gene products--impact on interpretation of HLA data at the molecular level.

In the HLA system genes are defined by antibody/antigen reactions and are denoted by single symbolic identifiers. This symbolization assumes a one-to-one correspondence between antibodies, antigens and genes. It is important, however, to label each reagent with symbols corresponding to all genes coding for antigens with which the reagent will react.

The impact of symbolism on immunogenetics: an application to HLA.

The genes coding for the class I human lymphocyte antigens (HLA) are located on chromosome 6. These antigens are involved with the immunological interaction between cells. In some immunogenetic systems, such as HLA in humans, genes are defined by antibody/antigen reaction and are denoted by single symbolic identifiers.

An interactive program for determining tentative gene assignments from immunological data.

This paper announces an interactive program that could be useful for workers investigating new immunogenetic systems and theoreticians seeking to resolve persistent puzzling questions about systems already developed. The program seeks symbolic representations of data and its interpretations. By its ability to work with symbolizations in their most general form it is able to reveal symbolic patterns that may correspond directly to otherwise unexpected genetic models.

Mathematical immunogenetics II. Antibody incidence structure.

Mathematical Immunogenetics I argued for the development of mathematics as a language for immunogenetics. A three-fold factorization of a reaction matrix was seen to be the important form of a model of a first order immunogenetic system. In the present paper, results of the authors on determining this factorization are reworked from a physical perspective and presented in an algorithmic form that can be used to compute a labeling matrix from data.

Mathematical immunogenetics I. Mathematics as language.

This paper summarizes approaches to developing mathematics that can act as a language for immunogenetics. The need for this has been documented by showing inadequacies of the standard symbolism. Apparent distinctions in symbolizing and conceptualizing factors involved in immunogenetics are seen to disappear in the mathematical models presented here.

A fragment-cofragment model of antibody incidence structures.

In the predecessor to this paper, "Uncovering Antibody Incidence Structures," Markowsky and Wohlgemuth presented a model which allowed one to calculate best possible solutions for the relation between individuals and antibodies given certain sets of tests each of which is analyzed simply for the presence or absence of a reaction. In this paper, we show that many of the concepts and theorems of the first paper generalize to the case where we actually try to compare the strengths of various reaction tests. As one might expect, the resulting model has a greater ability to detect the presence of antibodies than the model presented in the first paper.

Defining specificities, genes, antigens, and antibodies- A matrix approach.

We study the consequences of assigning single letter symbols to operationally defined entities such as genes, antigens, specificities, and antibodies. If this is to be done and if reagents are not specific in recognizing the products of single genes or single antigens, then these entities must be defined by a 'definition matrix' to avoid mislabeling a matrix of data. A method is given whereby for a given matrix of data all possible definition matrices consistent with this data can be obtained.

Matrix techniques applied to CML-typedH-2 mutants.

Techniques associated with the Labeled Reaction Matrix model are used to provide several assignments of discrete labels to some serologically identical, CML-typedH-2 haplotypes. It is shown how this model can utilize the internal consistency of a labeling scheme to aid in making decisions on assigning values of 'positive' or 'negative' to reactions of questionable strength. A few examples of labeling schemes that may suggest further experimentation are derived.