Variants of the phenylalanine hydroxylase gene in neonates with phenylketonuria in Hainan, China

Incidence and associated risk factors of congenital hypothyroidism among newborns in Hainan, China: a retrospective study

OBJECTIVES

This study aims to investigate the incidence and risk factors of congenital hypothyroidism (CH) in newborns in Hainan Province, China, to provide a reference for early and effective prevention strategies.

METHODS

Newborns born in Hainan Province from 2017 to 2021 were the subjects of this study. Time-resolved immunofluorescence was used for initial screening and chemiluminescence for confirmatory diagnosis. Based on the diagnosis, newborns were classified into CH and non-CH groups. Statistical analysis was conducted on the initial screening and confirmed CH cases in newborns in Hainan Province, and potential risk factors for CH were explored.

RESULTS

From 2017 to 2021, a total of 585,886 newborns were screened, revealing 6,856 initial positive results, 614 positive rescreens, and 420 confirmed CH cases, yielding an incidence rate of 1/1,395 (420/585,886). The annual initial positive screening rate of newborns in Hainan Province showed a rising trend from 2017 to 2021 (p=0.000). No significant differences were found regarding gender (p=0.400) and ethnicity (p=0.836). Multivariate logistic regression analysis indicated that residing in coastal areas, especially those with salt fields (OR=2.151, 95 % CI: 1.364-3.390), was risk factors for the development of CH in newborns.

CONCLUSIONS

The incidence of CH in newborns showed a year-on-year increase in Hainan Province from 2017 to 2021. Residing in coastal areas, particularly those with salt fields, was identified as a risk factor for the development of CH.

Epidemiology and distribution of 207 rare diseases in China: A systematic literature review

Epidemiological data on rare diseases in China are currently limited. The objective of this study was to provide a comprehensive understanding of the prevalence and incidence of rare diseases by systematically analyzing the available epidemiological data. We conducted a comprehensive search of English and Chinese databases, the Incidence and Prevalence Database, the Chinese Rare Disease Guideline, and the Taiwan Health Promotion Administration from 2010 to 2023. We identified the top diseases and regions based on epidemiological data and present the maximum, minimum, and median prevalence and incidence values in tables and forest plots. 1,264 prevalence and incidence data were retrieved from 277 studies, guidelines and official websites, covering 110 rare diseases (53.1%) and 32 regions (94.1%). In terms of geographical regions, incidence or prevalence data were available for 32 regions (94.1%), excluding Tibet Hui Autonomous Region and Macao Special Administrative Region. In terms of rate, 60 and 77 out of 207 diseases (29.0% and 37.2%) had available incidence and prevalence data, respectively. Eight diseases had an incidence rate equal to or greater than that of 1,000 patients per million. The present study provides a comprehensive epidemiological analysis and valuable insights into the prevalence and incidence of rare diseases in China. Our findings underscore the pressing need for sustained drug research and medical support for individuals and families impacted by rare diseases.

Screening and mutation analysis of phenylalanine hydroxylase deficiency in newborns from Jiangxi province

Background: Phenylalanine hydroxylase deficiency (PAHD) is an autosomal recessive disorder of amino acid metabolism and caused by mutations in the phenylalanine hydroxylase (PAH) gene. Without timely and appropriate dietary management, the disturbance of amino acid metabolism may impair cognitive development and neurophysiological function. Newborn screening (NBS) can aid the early diagnosis of PAHD, which can give accurate therapy to PAHD patients in time. In China, the PAHD incidence and PAH mutation spectrum vary enormously across the provinces. A total of 5,541,627 newborns from Jiangxi province were screened by NBS between 1997 and 2021. Method: One seventy one newborns from Jiangxi province were diagnosed with PAHD. By Sanger sequencing and the multiplex ligation-dependent probe amplification (MLPA) analysis, mutation analysis was performed in 123 PAHD patients. Using an arbitrary values (AV)-based model, we compared the observed phenotype with the predicted phenotype based on the genotype. Results: In this study, we speculated the PAHD incidence of Jiangxi province was about 30.9 per 1,000,000 live births (171/5,541,627). We summarized the PAH mutation spectrum in Jiangxi province for the first time. Two novel variants (c.433G > C, c.706 + 2T > A) were found. The most prevalent variant was c.728G > A (14.1%). The overall prediction rate of the genotype-phenotype was 77.4%. Conclusion: This mutation spectrum is very meaningful to improve the diagnostic rate of PAHD and to increase the accuracy genetic counseling. This study offers data for the genotype-phenotype prediction suitable for Chinese population.

Current Understanding on the Genetic Basis of Key Metabolic Disorders: A Review

Simple Summary

Metabolic disorders (MD) are a challenge to healthcare systems; the emergence of the modern socio-economic system has led to a profound change in lifestyles in terms of dietary habits, exercise regimens, and behavior, all of which complement the genetic factors associated with MD. Diabetes Mellitus and Familial hypercholesterolemia are two of the 14 most widely researched MD, as they pose the greatest challenge to the public healthcare system and have an impact on productivity and the economy. Research findings have led to the development of new therapeutic molecules for the mitigation of MD as well as the invention of experimental strategies, which target the genes themselves via gene editing and RNA interference. Although these approaches may herald the emergence of a new toolbox to treat MD, the current therapeutic approaches still heavily depend on substrate reduction, dietary restrictions based on genetic factors, exercise, and the maintenance of good mental health. The development of orphan drugs for the less common MD such as Krabbe, Farber, Fabry, and Gaucher diseases, remains in its infancy, owing to the lack of investment in research and development, and this has driven the development of personalized therapeutics based on gene silencing and related technologies.

Abstract

Advances in data acquisition via high resolution genomic, transcriptomic, proteomic and metabolomic platforms have driven the discovery of the underlying factors associated with metabolic disorders (MD) and led to interventions that target the underlying genetic causes as well as lifestyle changes and dietary regulation. The review focuses on fourteen of the most widely studied inherited MD, which are familial hypercholesterolemia, Gaucher disease, Hunter syndrome, Krabbe disease, Maple syrup urine disease, Metachromatic leukodystrophy, Mitochondrial encephalopathy lactic acidosis stroke-like episodes (MELAS), Niemann-Pick disease, Phenylketonuria (PKU), Porphyria, Tay-Sachs disease, Wilson’s disease, Familial hypertriglyceridemia (F-HTG) and Galactosemia based on genome wide association studies, epigenetic factors, transcript regulation, post-translational genetic modifications and biomarker discovery through metabolomic studies. We will delve into the current approaches being undertaken to analyze metadata using bioinformatic approaches and the emerging interventions using genome editing platforms as applied to animal models.

Characterization of phenylalanine hydroxylase gene variants and analysis of genotype-phenotype correlation in patients with phenylalanine hydroxylase deficiency from Fujian Province, Southeastern China

BACKGROUND

Phenylalanine hydroxylase deficiency (PAHD) is the most prevalent inherited disorder of amino acid metabolism in China. Its complex phenotype includes many variants and genotypes among different populations.

METHODS AND RESULTS

In this study, we analyzed the phenylalanine hydroxylase gene (PAH) variants in a cohort of 93 PAHD patients from Fujian Province. We also assessed genotype and phenotype correlation in patients with PAHD. A total of 44 different pathogenic variants were identified, including five novel variants. The three most prevalent variants among all patents were c.158G > A, p.(Arg53His) (18.03%), c.721C > T, p.(Arg241Cys) (14.75%), and c.728G > A, p.(Arg243Gln) (7.65%). The frequency of the c.158G > A, p.(Arg53His) variant was highest in patients with mild hyperphenylalaninemia, whereas the frequency of the c.1197A > T, p.(Val399 =) and c.331C > T, p.(Arg111Ter) variants was highest in patients with classic phenylketonuria. The most abundant genotypes observed in PAHD patients were c.[158G > A];[728G > A], c.[158G > A];[442-1G > A], and c.[158G > A];[721C > T]. Comparing allelic phenotype to genotypic phenotype values yielded fairly accurate predictions of phenotype, with an overall consistency rate was 85.71% for PAHD patients.

CONCLUSIONS

Our study identified a PAH variant spectrum in PAHD patients from Fujian Province, Southeastern China. Quantitative correlation analysis between genotype and phenotype severity is helpful for genetic counseling and management.