Literature DB >> 33691766

Value of amniotic fluid homocysteine assay in prenatal diagnosis of combined methylmalonic acidemia and homocystinuria, cobalamin C type.

Ting Chen1,2, Lili Liang1,2, Huiwen Zhang1,2, Jun Ye1,2, Wenjuan Qiu1,2, Bing Xiao1,2, Hong Zhu2, Lei Wang2, Feng Xu1,2, Zhuwen Gong1,2, Xuefan Gu1,2, Lianshu Han3,4.   

Abstract

BACKGROUND: Combined methylmalonic acidemia and homocystinuria, cobalamin C type (cblC defect) is the most common inborn error of cobalamin metabolism, and different approaches have been applied to its prenatal diagnosis. To evaluate the reliability of biochemical method for the prenatal diagnosis of cblC defect, we conducted a retrospective study of our 10-year experience at a single center.
METHODS: 248 pregnancies whose probands were diagnosed as cblC defect were referred to our center for prenatal diagnosis from January 2010 to December 2019. Prenatal data of Hcy levels determined by enzymatic cycling assay, acylcarnitine analysis using liquid chromatography tandem mass spectrometry, organic acid analysis using gas chromatography mass spectrometry, and genetic analysis by direct sequencing of 248 at-risk fetuses were retrospectively reviewed.
RESULTS: For 2.0 and 16.0 μmol/L levels of Hcy AF samples, the relative errors were - 2.5% and 2.8%, respectively. The respective measurement uncertainties were 13.07% and 14.20%. For the 248 at-risk fetuses, 63 fetuses were affected and 185 fetuses were unaffected. Hcy level of 13.20 (6.62-43.30) μmol/L in 63 affected fetuses was significantly higher than that in 185 unaffected fetuses of 2.70 (0.00-5.80) μmol/L, and there was no overlap between the affected and unaffected groups. The diagnostic sensitivity and specificity of Hcy were 100% and 92.05%, respectively. The positive and negative predictive values of the combination of Hcy, propionylcarnitine (C3), ratio of C3 to acetylcarnitine (C2; C3/C2), methylmalonic acid (MMA), and methylcitric acid (MCA) were both 100%. Sixteen fetuses displayed inconclusive genetic results of MMACHC variants, in which seven fetuses were determined to be affected with elevated levels of Hcy, C3, C3/C2 and MMA, and their levels were 18.50 (6.70-43.30) μmol/L, 8.53(5.02-11.91) μmol/L, 0.77 (0.52-0.97), 8.96 (6.55-40.32) mmol/mol Cr, respectively. The remaining nine fetuses were considered unaffected based on a normal amniotic fluid metabolite profile.
CONCLUSIONS: Hcy appears to be another characteristic biomarker for the prenatal diagnosis of cblC defect. The combination of Hcy assay with acylcarnitine and organic acid analysis is a fast, sensitive, and reliable prenatal diagnostic biochemical approach. This approach could overcome the challenge of the lack of genetic analysis for families with at-risk cblC defect fetuses.

Entities:  

Keywords:  Homocysteine; MMACHC variant; Methylmalonic academia; Prenatal diagnosis

Year:  2021        PMID: 33691766      PMCID: PMC7945211          DOI: 10.1186/s13023-021-01762-z

Source DB:  PubMed          Journal:  Orphanet J Rare Dis        ISSN: 1750-1172            Impact factor:   4.123


  1 in total

1.  Measurement of urinary cobalt as its complex with 2-(5-chloro-2-pyridylazo)-5-diethylaminophenol by liquid chromatography-tandem mass spectrometry for the purpose of anti-doping control.

Authors:  Tim Sobolevsky; Brian Ahrens
Journal:  Drug Test Anal       Date:  2021-01-27       Impact factor: 3.345

  1 in total
  3 in total

Review 1.  Toxic Metabolites and Inborn Errors of Amino Acid Metabolism: What One Informs about the Other.

Authors:  Namgyu Lee; Dohoon Kim
Journal:  Metabolites       Date:  2022-06-08

2.  Prenatal Diagnosis of Two Common Inborn Errors of Metabolism by Genetic and Mass Spectrometric Analysis of Amniotic Fluid.

Authors:  Congcong Shi; Sitao Li; Yu Gao; Zhirong Deng; Hu Hao; Xin Xiao
Journal:  Front Pediatr       Date:  2022-02-09       Impact factor: 3.418

3.  Comparing amniotic fluid mass spectrometry assays and amniocyte gene analyses for the prenatal diagnosis of methylmalonic aciduria.

Authors:  Yupeng Liu; Zhehui Chen; Lulu Kang; Ruxuan He; Jinqing Song; Yi Liu; Chunyan Shi; Junya Chen; Hui Dong; Yao Zhang; Yanyan Ma; Tongfei Wu; Qiao Wang; Yuan Ding; Xiyuan Li; Dongxiao Li; Mengqiu Li; Ying Jin; Jiong Qin; Yanling Yang
Journal:  PLoS One       Date:  2022-03-31       Impact factor: 3.240

  3 in total

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