Sensitive detection of single-nucleotide polymorphisms by conjugated polymers for personalized treatment of hypertension.
Qi ShenHonghong ZhangYiming HuangMingyu LiHao ZhaoZhiwen YangHaijing ZhaoQi LiuZihao FuYufei DiLibing LiuHaotian BaiFengting LvYun-Dai ChenYuqi LiuJianwu WangPublished in: Science translational medicine (2023)
Genetic variants among individuals have been associated with ineffective control of hypertension. Previous work has shown that hypertension has a polygenic nature, and interactions between these loci have been associated with variations in drug response. Rapid detection of multiple genetic loci with high sensitivity and specificity is needed for the effective implementation of personalized medicine for the treatment of hypertension. Here, we used a cationic conjugated polymer (CCP)-based multistep fluorescence resonance energy transfer (MS-FRET) technique to qualitatively analyze DNA genotypes associated with hypertension in the Chinese population. Assessment of 10 genetic loci using this technique successfully identified known hypertensive risk alleles in a retrospective study of whole-blood samples from 150 patients hospitalized with hypertension. We then applied our detection method in a prospective clinical trial of 100 patients with essential hypertension and found that personalized treatment of patients with hypertension based on results from the MS-FRET technique could effectively improve blood pressure control rate (94.0% versus 54.0%) and shorten the time duration to controlling blood pressure (4.06 ± 2.10 versus 5.82 ± 1.84 days) as compared with conventional treatment. These results suggest that CCP-based MS-FRET genetic variant detection may assist clinicians in rapid and accurate classification of risk in patients with hypertension and improve treatment outcomes.
Keyphrases
- blood pressure
- energy transfer
- hypertensive patients
- heart rate
- single molecule
- genome wide
- clinical trial
- mass spectrometry
- sensitive detection
- loop mediated isothermal amplification
- machine learning
- gene expression
- quantum dots
- emergency department
- ms ms
- dna methylation
- primary care
- metabolic syndrome
- ejection fraction
- fluorescent probe
- adipose tissue
- open label
- living cells
- prognostic factors
- weight loss
- structural basis
- adverse drug
- cell free