# Evaluation of serum NEAT1 and MALAT1 expression as diagnostic biomarkers in tyrosinemia, a rare metabolic disorder

**Authors:** Nasrin Motazedian, Mohsen Mohammadi, Negar Azarpira, Kimia Falamarzi, Bita Geramizadeh, Seyed Mohsen Dehghani, Mahdokht Hossein-Aghdaie, Seyed Ali Malekhosseini, Mahintaj Dara

PMC · DOI: 10.1186/s13023-026-04275-9 · Orphanet Journal of Rare Diseases · 2026-02-25

## TL;DR

This study explores whether NEAT1 and MALAT1, two types of RNA, can be used as diagnostic biomarkers for tyrosinemia, a rare metabolic disorder.

## Contribution

The study evaluates the potential of serum NEAT1 and MALAT1 as non-invasive diagnostic biomarkers for tyrosinemia.

## Key findings

- Serum NEAT1 is significantly upregulated in children with tyrosinemia compared to healthy controls.
- NEAT1 shows strong diagnostic potential with high sensitivity and specificity.
- MALAT1 does not appear to be a useful diagnostic marker for tyrosinemia.

## Abstract

Tyrosinemia is a rare autosomal recessive inborn error of metabolism caused by a deficiency of fumarylacetoacetate hydrolase (FAH). This leads to the accumulation of toxic metabolites, resulting in progressive liver and kidney damage. This study aimed to evaluate the serum levels of the long non-coding RNAs NEAT1 and MALAT1 in children with tyrosinemia and assess their potential as diagnostic biomarkers.

This cross-sectional study included 11 children with tyrosinemia, randomly selected from the Shiraz Pediatric Liver Cirrhosis Cohort Study (SPLCCS), and 26 healthy controls. RNA was extracted from serum samples, and the expression levels of NEAT1 and MALAT1 were quantified using quantitative real-time PCR.

Serum NEAT1 expression was significantly upregulated in children with tyrosinemia compared to healthy controls (p = 0.011). In contrast, MALAT1 expression showed a non-significant increasing trend. Correlation analysis revealed a positive association between NEAT1 expression and AST and ALP levels, whereas MALAT1 was inversely correlated with INR in the tyrosinemia group. Receiver operating characteristic (ROC) curve analysis demonstrated that NEAT1 has strong diagnostic potential, with an area under the curve (AUC) of 0.945, 100% sensitivity, and 80% specificity at an optimal cut-off value of 1.126. MALAT1 showed poor diagnostic performance.

Our findings suggest that serum NEAT1 represents a promising, non-invasive biomarker for tyrosinemia. In contrast, MALAT1 does not appear to be a useful diagnostic marker for this condition.

Not applicable.

## Linked entities

- **Genes:** NEAT1 (nuclear paraspeckle assembly transcript 1) [NCBI Gene 283131], MALAT1 (metastasis associated lung adenocarcinoma transcript 1) [NCBI Gene 378938], FAH (fumarylacetoacetate hydrolase) [NCBI Gene 2184]
- **Diseases:** tyrosinemia (MONDO:0004741)

## Full-text entities

- **Genes:** NEAT1 (nuclear paraspeckle assembly transcript 1) [NCBI Gene 283131] {aka LINC00084, NCRNA00084, TP53LC15, TncRNA, VINC}, ATHS (atherosclerosis susceptibility (lipoprotein associated)) [NCBI Gene 470] {aka ALP}, SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, MALAT1 (metastasis associated lung adenocarcinoma transcript 1) [NCBI Gene 378938] {aka HCN, LINC00047, NCRNA00047, NEAT2, PRO2853, miPEP-52}
- **Diseases:** Liver Cirrhosis (MESH:D008103), FAH (MESH:C531854), metabolic disorder (MESH:D008659), liver and kidney damage (MESH:D056486), Tyrosinemia (MESH:D020176), autosomal recessive inborn error of metabolism (MESH:D008661)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13041115/full.md

## References

6 references — full list in the complete paper: https://tomesphere.com/paper/PMC13041115/full.md

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Source: https://tomesphere.com/paper/PMC13041115