Evidence map›Paper›PMID 40016399›Full record

ArticleAnnals of hematology2025

Rapid detection of genetic modifiers of β-thalassemia based on MALDI-TOF MS.

Li Huang, Qianqian Zhang, Yuhua Ye, Yong Long, Haoyang Huang, Chao Niu, Bin Lin, Lilan Zeng, Yuxi Wang, Tingting Dai and 2 more

Abstract read
In one paragraph

Article in Annals of hematology, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

12 authors.

Li Huang *Innovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Qianqian Zhang *Innovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Yuhua YeDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Yong LongInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Haoyang HuangInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Chao NiuInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Bin LinGenetics Laboratory, Guangzhou Jiexu Gene Technology Co., Ltd, Guangzhou, Guangdong, 510530, China.
Lilan ZengGenetics Laboratory, Guangzhou Jiexu Gene Technology Co., Ltd, Guangzhou, Guangdong, 510530, China.
Yuxi WangResearch and Development Center, Intelligene Biosystems (Qingdao) Co., Ltd, Qingdao, Shandong, 266114, China.
Tingting DaiResearch and Development Center, Intelligene Biosystems (Qingdao) Co., Ltd, Qingdao, Shandong, 266114, China.
Xiaoyun HuaGenetics Laboratory, Guangzhou Jiexu Gene Technology Co., Ltd, Guangzhou, Guangdong, 510530, China. huaxiaoyun@huayinlab.com.
Xiangmin XuInnovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China. xixm@smu.edu.cn.

Funding

GuangDong Basic and Applied Basic Research Foundation No. 2023A1515110850National Natural Science Foundation of China No. U20A20353
6 · The paper itself

Abstract

Fetal hemoglobin (HbF) levels are influenced by various genetic modifiers, which have clinically beneficial effects on both β-thalassemia and sickle cell disease. HbF-associated genetic variants are distributed throughout the genome, and current detection methods are often costly, time-consuming, and require multiple tests. Therefore, developing rapid and economical methods for the simultaneous detection of HbF-associated variants is essential for improving the accurate diagnosis of β-hemoglobinopathies. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) was employed to detect 20 well-documented genetic modifiers in BCL11A, KLF1, HBG2, DNMT1, GATAD2A, and HBS1L-MYB intergenic polymorphism (HMIP). The new assay's accuracy, repeatability, and lowest detection limit were evaluated. It was subsequently applied to 81 samples, and the clinical effects of the modifiers were further verified in a cohort of 560 β-thalassemia patients. The MALDI-TOF MS assays successfully detected all 20 genetic modifiers simultaneously in a single reaction. Genotyping results from 15 repetitions were consistent and accurate, indicating the stability of this assay. The assay's lowest detection limit for DNA was as low as 0.2 ng, sufficient for simultaneous genotyping of all loci. A double-blind evaluation of 81 samples showed 100% concordance with traditional genotyping methods. Significant differences were observed in HbF levels, survival time without transfusion, and clinical classification for the detected genetic modifiers. The MALDI-TOF MS detection assay for HbF-related variants is simple, rapid and high throughput. It enables the detection of 20 genetic modifiers in a single test, supporting accurate large-scale detection and enhancing the precise diagnosis and clinical classification of β-thalassemia.

Indexed as

beta-ThalassemiaFetal HemoglobinSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationFemaleHumansMaleFetal HemoglobinFetal hemoglobinMALDI-TOF MSModifier geneβ-thalassemia

Identifiers

PMID40016399
PMCPMC12031963

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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.