Evidence map›Paper›PMID 38966413›Full record

ArticleFrontiers in nutrition2024

The utility of methylmalonic acid, methylcitrate acid, and homocysteine in dried blood spots for therapeutic monitoring of three inherited metabolic diseases.

Yi Liu, Xue Ma, Lulu Kang, Ying Jin, Mengqiu Li, Jinqing Song, Haixia Li, Yongtong Cao, Yanling Yang

Abstract read
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Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yi Liu *Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Xue Ma *Department of Pediatrics, Peking University First Hospital, Beijing, China.
Lulu KangDepartment of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ying JinDepartment of Pediatrics, Peking University First Hospital, Beijing, China.
Mengqiu LiDepartment of Pediatrics, Peking University First Hospital, Beijing, China.
Jinqing SongDepartment of Pediatrics, Peking University First Hospital, Beijing, China.
Haixia LiDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Yongtong CaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Yanling YangDepartment of Pediatrics, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backgroud: Routine metabolic assessments for methylmalonic acidemia (MMA), propionic acidemia (PA), and homocysteinemia involve detecting metabolites in dried blood spots (DBS) and analyzing specific biomarkers in serum and urine. This study aimed to establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous detection of three specific biomarkers (methylmalonic acid, methylcitric acid, and homocysteine) in DBS, as well as to appraise the applicability of these three DBS metabolites in monitoring patients with MMA, PA, and homocysteinemia during follow-up. Methods: A total of 140 healthy controls and 228 participants were enrolled, including 205 patients with MMA, 17 patients with PA, and 6 patients with homocysteinemia. Clinical data and DBS samples were collected during follow-up visits. Results: The reference ranges (25th-95th percentile) for DBS methylmalonic acid, methylcitric acid, and homocysteine were estimated as 0.04-1.02 μmol/L, 0.02-0.27 μmol/L and 1.05-8.22 μmol/L, respectively. Following treatment, some patients achieved normal metabolite concentrations, but the majority still exhibited characteristic biochemical patterns. The concentrations of methylmalonic acid, methylcitric acid, and homocysteine in DBS showed positive correlations with urine methylmalonic acid ( Conclusion: The LC-MS/MS method established in this study reliably detects methylmalonic acid, methylcitric acid, and homocysteine in DBS. These three DBS metabolites can be valuable for monitoring patients with MMA, PA, and homocysteinemia during follow-up. Further investigation is required to determine the significance of these DBS biomarkers in assessing disease burden over time.

Indexed as

homocysteinehomocystinemiainherited metabolic diseasemetabolic evaluationmethylcitric acidmethylmalonic acidmethylmalonic acidemiapropionic acidemia

Identifiers

PMID38966413
PMCPMC11222987

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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.