Design, Optimization and Validation of the ARMS PCR Protocol for the Rapid Diagnosis of Wilson's Disease Using a Panel of 14 Common Mutations for the European Population

Epidemiology of Wilson's Disease and Pathogenic Variants of the ATP7B Gene Leading to Diversified Protein Disfunctions

Wilson's disease (WD) is an autosomal recessive disorder characterized by toxic accumulation of copper in the liver, brain, and other organs. The disease is caused by pathogenic variants in the ATP7B gene, which encodes a P-type copper transport ATPase. Diagnosing WD is associated with numerous difficulties due to the wide range of clinical manifestations and its unknown dependence on the physiological characteristics of the patient. This leads to a delay in the start of therapy and the subsequent deterioration of the patient's condition. However, in recent years, molecular genetic testing of patients using next generation sequencing (NGS) has been gaining popularity. This immediately affected the detection speed of WD. If, previously, the frequency of this disease was estimated at 1:35,000-45,000 people, now, when conducting large molecular genetic studies, the frequency is calculated as 1:7026 people. This certainly points to the problem of identifying WD patients. This review provides an update on the performance of epidemiological studies of WD and describes normal physiological functions of the protein and diversified disfunctions depending on pathogenic variants of the ATP7B gene. Future prospects in the development of WD genetic diagnostics are also discussed.

Development of a POCT detection platform based on a locked nucleic acid-enhanced ARMS-RPA-GoldMag lateral flow assay

In this study, a novel genotyping point-of-care testing (POCT) rapid detection device, the locked nucleic acid (LNA)-amplification refractory mutation system (ARMS)-recombinase polymerase amplification (RPA)-GoldMag lateral flow assay (LFA) platform, was provided by mining and synthesis based on prior technology. Research methods based on system-integrated innovation and knowledge-integrated generation have become a new trend in technology development. Here, we exploit the combination of LNA-coupled ARMS-RPA and gold nanoparticle probe technology for detection signal amplification, thus pioneering a new tool for accurate, rapid, and cost-effective genotyping. We also performed SNP typing detection and clinical validation of this new assay platform using common glucose-6-phosphate dehydrogenase (G6PD) gene single nucleotide polymorphism (SNP) loci, and the results demonstrated the high sensitivity, specificity, stability, accuracy and feasibility of the LNA-ARMS-RPA-GoldMag lateral flow assay platform. It is hoped that this new technology will make a significant contribution to the field of POCT rapid diagnosis and aim to expand the application space, reflecting its clinical application value and development prospects.

Estrogen receptor alpha (ESR1) gene polymorphism (rs2234693 and rs2046210) with breast cancer risk in pashtun population of Khyber Pakhtunkhwa

BACKGROUND

Breast cancer susceptibility is greatly influenced by single nucleotide polymorphisms (SNPs) both in penetrance and non-penetrance genes. The Estrogen Receptor Alfa (ESR1- rs2234693 and rs2046210) have been reported as risk factor of breast cancer in different ethnic groups with inconsistent results. In this study the association of ESR1 (rs2234693 and rs2046210) with breast cancer risk was investigated in patients of Khyber Pakhtunkhwa.

METHODS

A total of 312 females including 162 breast cancer patients and 150 healthy controls were enrolled in this study. The polymorphism was confirmed using T-ARMS-PCR.

RESULTS

Our results revealed that ESR1-rs2234693 risk allele (C) (P = 0.21, OR = 1.27, CI = 0.87 to 1.87) and containing genotypes CC (P = 0.68, OR = 1.24, CI = 0.42 to 3.68) and TC (P = 0.23, OR = 1.32, CI = 0.83 to 2.13) were not associated with the risk of breast cancer. In case of rs2046210, the risk allele A (P < 0.0001, OR = 2.42, CI = 1.74 to 3.38) and corresponding genotypes GA (P = 0.0001, OR = 2.55, CI = 1.62 to 4.03) and AA (P = 0.02, OR = 2.20, CI = 1.12 to 4.34) were significantly associated with higher risk of breast cancer. Moreover, ESR1-rs2234693 was significantly (P < 0.05) associated with family history, stages, PR status, ER status and luminal B. The ESR1-rs2046210 showed significant (P ≤ 0.05) association with menstrual status, tumor grade and TNBC. Both the SNPs showed non-significant (P > 0.05) association with nulliparity, nodal status, HER2 status, metastasis, HER2 enriched subtype and luminal A.

CONCLUSION

It is concluded that ESR1-rs2234693 is not associated with breast cancer, while rs2046210 is significantly associated with the risk of breast cancer in Khyber Pakhtunkhwa population. Further, to confirm the exact situation of ESR1 polymorphism, ESR1 existing and other SNPs need to be investigated in diverse data sets.