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Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in value between...
Equivalent Couples01:28

Equivalent Couples

In mechanical engineering, the concept of equivalent couples plays a crucial role in understanding and analyzing various mechanical systems.
Two couples are considered to be equivalent if they produce the same rotational effect on a rigid body. In other words, the two couples have the same magnitude and act in the same direction, causing the same angular displacement or acceleration in the body.
For instance, consider two couples lying in the plane of the page, with one having a pair of equal...
Mismatch Repair01:36

Mismatch Repair

Overview
Mismatch Repair01:20

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...

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Related Experiment Video

Updated: Jul 3, 2026

A Sensitive and Specific Quantitation Method for Determination of Serum Cardiac Myosin Binding Protein-C by Electrochemiluminescence Immunoassay
10:12

A Sensitive and Specific Quantitation Method for Determination of Serum Cardiac Myosin Binding Protein-C by Electrochemiluminescence Immunoassay

Published on: August 8, 2013

The co$t of mi$matching.

Andrea A Zachary1, John M Hart, Donna P Lucas

  • 1The Immunogenetics Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Clinical Transplants
|July 22, 2008
PubMed
Summary
This summary is machine-generated.

The number of HLA mismatched antigens correlates with HLA-specific antibodies, impacting transplant waiting times. Optimizing HLA matching is crucial for patients most affected by mismatches.

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A Sensitive and Specific Quantitation Method for Determination of Serum Cardiac Myosin Binding Protein-C by Electrochemiluminescence Immunoassay
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Area of Science:

  • Immunogenetics
  • Transplantation immunology

Background:

  • Human Leukocyte Antigen (HLA) matching is critical in organ transplantation.
  • Pre-existing HLA-specific antibodies can complicate transplantation outcomes.

Purpose of the Study:

  • To investigate the correlation between HLA mismatched antigens and the development of HLA-specific antibodies.
  • To analyze how factors like prior antibody presence, transplant number, recipient race, and donor type modify this correlation.
  • To assess the impact of HLA mismatches on transplant waiting times and associated healthcare costs.

Main Methods:

  • Analysis of HLA antigen mismatches in transplant recipients.
  • Monitoring of HLA-specific antibody development and changes.
  • Stratification of data based on pre-transplant antibody status, transplant history, recipient demographics, and donor characteristics.

Main Results:

  • A direct correlation exists between the number of HLA mismatched antigens and the development or alteration of HLA-specific antibodies.
  • The impact of HLA mismatches on antibody levels varies significantly across different patient and donor subgroups.
  • Increased HLA mismatches lead to longer transplant waiting times, reflecting cumulative mismatch history.

Conclusions:

  • HLA matching remains a vital consideration in transplantation, particularly for high-risk patient groups.
  • The findings underscore the need to refine HLA matching strategies to mitigate antibody formation and reduce waiting list times.
  • Addressing HLA mismatches can improve patient quality of life, health outcomes, and reduce healthcare expenditures associated with prolonged waiting and antibody management.