Evidence map›Paper›PMID 40998492›Full record

ArticleThe Journal of molecular diagnostics : JMD2025

A Mass Spectrometry-Based Multiplexed Targeted Assay for Detection of Hemoglobinopathies from Dried Blood Spots.

Anikha Bellad, Kannan Rangiah, Sandip Chavan, Jayesh Warade, Barnali Das, Akhilesh Pandey

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anikha BelladManipal Academy of Higher Education, Manipal, India; Institute of Bioinformatics, Bangalore, India.
Kannan RangiahInstitute of Bioinformatics, Bangalore, India.
Sandip ChavanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Jayesh WaradeDepartment of Biochemistry and Molecular Biology, Meenakshi Mission Hospital and Research Centre, Madurai, India.
Barnali DasDepartment of Laboratory Medicine, Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Mumbai, India. Electronic address: barnali.das@kokilabenhospitals.com.
Akhilesh PandeyManipal Academy of Higher Education, Manipal, India; Institute of Bioinformatics, Bangalore, India; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota. Electronic address: pandey.akhilesh@mayo.edu.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Hemoglobinopathies are the most common inherited disorders worldwide. Accurate analysis of hemoglobin variants is critical for diagnosis of hemoglobinopathies. Although high-performance liquid chromatography and capillary zone electrophoresis are widely used as screening tools, they possess inherent ambiguities that often preclude accurate detection of hemoglobin variants. The goal was to develop and optimize a sensitive and specific mass spectrometry-based assay for screening and diagnosis of hemoglobinopathies. A catalog of canonical globin-chain specific peptides as well as mutant peptides corresponding to common hemoglobin variants was generated, and their corresponding heavy synthetic peptide versions were used as internal standards for quantification and calculation of globin chain ratios. Targeted mass spectrometry analysis was performed by coupling liquid chromatography to a triple quadrupole mass spectrometer, which is the most common mass spectrometer used in clinical diagnostics. Dried blood spots from a cohort of 716 individuals (including 211 patients with hemoglobinopathy) were analyzed. The α:β-globin ratios showed a significant difference between normal patients and patients with β-thalassemia, particularly when the disease was homozygous or admixed with structural variants (compound heterozygous). The method presented here permits identification of variants in their homozygous, heterozygous, or compound heterozygous states. The intra-assay and interassay precision CV were both <20%. We envision that such mass spectrometry-based assays could be used as first-line screening assay for hemoglobin variants, including sickle cell disease as well as thalassemias.

Indexed as

Dried Blood Spot TestingHemoglobinopathiesMass Spectrometrybeta-GlobinsHumansReproducibility of ResultsSensitivity and Specificitybeta-Globins

Identifiers

PMID40998492
PMCPMC12597561

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.