Luminescence “on-off-on” sensing of acute myocardial infarction biomarker miRNA-208a based on copper nanoclusters-MoS 2 FRET system DOI Creative Commons
Suzhen Zhang,

Danling Mei,

Hongming Fang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 12, 2024

Abstract MiRNA-208a is a molecular marker for the early stage of acute myocardial infarction (AMI), with satisfactory specificity and relatively short time window, making it highly suitable diagnosis AMI. In this study, we designed CuNCs-cDNA-MoS2 fluorescent probe established fluorescence resonance energy transfer (FRET) enzyme-free biosensor "on-off-on" detection miRNA-208a. The results showed that limit miRNA-208a was 900 pM, linear range 1 to 10 nM. Interestingly, after addition RNase inhibitor, serum were reduced 5 minutes 380 respectively. It also has wide (1–20 nM), recovery rate 98.13 101.20%. Compared traditional methods, strategy simple, rapid, sensitive, cost-effective. summary, FRET-based sensor provides high-performance method detecting

Язык: Английский

From multi-omics approaches to personalized medicine in myocardial infarction DOI Creative Commons
Chaoying Zhan, Tong Tang,

Erman Wu

и другие.

Frontiers in Cardiovascular Medicine, Год журнала: 2023, Номер 10

Опубликована: Окт. 30, 2023

Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, sudden death. Despite being research hotspot, the etiological mechanism of MI remains unclear. The emergence widespread use omics technologies, including genomics, transcriptomics, proteomics, metabolomics, other omics, have provided new opportunities for exploring molecular identifying large number biomarkers. However, single-omics approach has limitations in understanding complex biological pathways diseases. multi-omics reveal interaction network among molecules at various levels overcome approaches. This review focuses on studies MI, epigenomics, omics. exploration extended into domain integrative analysis, accompanied compilation diverse online resources, databases, tools conducive these investigations. Additionally, we discussed role prospects approaches personalized medicine, highlighting potential improving diagnosis, treatment, prognosis MI.

Язык: Английский

Процитировано

24

The diagnostic and prognostic value of serum miR-199a-5p combined with echocardiography in acute myocardial infarction DOI Creative Commons
Lixin Xu, Jianfeng Lin,

Jianke Xia

и другие.

Journal of Cardiothoracic Surgery, Год журнала: 2025, Номер 20(1)

Опубликована: Янв. 7, 2025

Diagnosis and prognostic evaluation of acute myocardial infarction (AMI) are crucial for patients. The clinical significance serum miR-199a-5p combined with echocardiography in AMI was investigated to provide some reference treatment. study subjects were 90 patients 50 chest pain (control). All examined by recorded LVEDV, LVESV, LVEF. RT-qPCR performed detect the level. Pearson analysis used analyze correlation LVEF cTnI. diagnostic value assessed ROC curve. occurrence major adverse cardiovascular events (MACE) Kaplan-Meier curve Cox regression. Serum elevated AMI, positively correlated cTnI negatively combination enhanced sensitivity specificity diagnosis AMI. Patients high expression more likely develop MACE. improved prediction efficiency provided information.

Язык: Английский

Процитировано

1

Serum Extracellular Vesicle-derived microRNA Profiles in Patients with ST-segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention DOI Creative Commons
Weikun Chen,

Yeshen Zhang,

Yining Dai

и другие.

Cardiovascular Innovations and Applications, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Objective: In this study, we sought to determine the potential of extracellular vesicle (EV) microRNAs (miRNAs) serve as early diagnostic biomarkers for AMI. Method: Peripheral blood samples were collected from three patients with AMI and healthy individuals, serum EV total RNA was extracted. The miRNA differential expression profiles EVs obtained through next-generation sequencing combined bioinformatics analysis. Results: AMI, compared controls without 15 differentially expressed miRNAs (11 upregulated 4 downregulated) identified. GO analysis predicted 842 target genes. Enrichment revealed 639 genes involved in biological processes, 592 molecular function, 692 cellular components. KEGG indicated that protein processing endoplasmic reticulum pathway, P53 mRNA surveillance signaling pathway significantly correlated PPI network proteins 10 hub associated miRNAs. Conclusion: We identified whose pathway. Our results provide a reference use

Язык: Английский

Процитировано

0

Luminescence “on-off-on” sensing of acute myocardial infarction biomarker miRNA-208a based on copper nanoclusters-MoS2 FRET system DOI
Suzhen Zhang,

Danling Mei,

Hongming Fang

и другие.

Microchimica Acta, Год журнала: 2025, Номер 192(3)

Опубликована: Фев. 15, 2025

Язык: Английский

Процитировано

0

MicroRNAs in acute kidney injury DOI
Mingkang Zhang, Yazhi Wang, Yan Zhou

и другие.

Clinica Chimica Acta, Год журнала: 2025, Номер unknown, С. 120301 - 120301

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Genetic–epigenetic targets for PCOS-associated diabesity DOI
Arun Kumar Sharma,

Monalisa Mukherjee,

Md Sayeed Akhtar

и другие.

Drug Discovery Today, Год журнала: 2025, Номер 30(6), С. 104373 - 104373

Опубликована: Май 8, 2025

Язык: Английский

Процитировано

0

Integrative experimental validation of concomitant miRNAs and transcription factors with differentially expressed genes in acute myocardial infarction. DOI
Vikash Sharma, Jitender Singh, Ashish Kumar

и другие.

European Journal of Pharmacology, Год журнала: 2024, Номер 971, С. 176540 - 176540

Опубликована: Март 27, 2024

Язык: Английский

Процитировано

3

Validating the temporal performance of genetic biomarkers in an animal model of recurrence/ non-recurrence myocardial infarction persuades by bioinformatics tools DOI
Vikash Sharma,

Samarth Kansara,

Jitender Singh

и другие.

European Journal of Pharmacology, Год журнала: 2024, Номер 978, С. 176795 - 176795

Опубликована: Июнь 29, 2024

Язык: Английский

Процитировано

2

DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation DOI Creative Commons
Yanling Liu, Ruiyan Zhang,

Xiaojing Dong

и другие.

BMC Bioinformatics, Год журнала: 2024, Номер 25(1)

Опубликована: Март 29, 2024

Abstract Background MicroRNA (miRNA) has been shown to play a key role in the occurrence and progression of diseases, making uncovering miRNA-disease associations vital for disease prevention therapy. However, traditional laboratory methods detecting these are slow, strenuous, expensive, uncertain. Although numerous advanced algorithms have emerged, it is still challenge develop more effective explore underlying associations. Results In study, we designed novel approach on basis deep autoencoder combined feature representation (DAE-CFR) predict possible We began by creating integrated similarity matrices miRNAs performing logistic function transformation, balancing positive negative samples with k -means clustering, constructing training samples. Then, was used extract low-dimensional from two kinds representations namely, original association information-based information-based. Next, resulting features each pair regression (LR) classifier infer all unknown interactions. Under five tenfold cross-validation (CV) frameworks, DAE-CFR not only outperformed six popular nine classifiers, but also demonstrated superior performance an additional dataset. Furthermore, case studies three diseases (myocardial infarction, hypertension stroke) confirmed validity practice. Conclusions achieved outstanding predicting can provide evidence inform biological experiments clinical

Язык: Английский

Процитировано

1

Drug Repurposing and Molecular Insights in the Fight Against Breast Cancer DOI Open Access
Ruchi Jakhmola Mani, Vikash Sharma, Sohini Singh

и другие.

Biomedical & Pharmacology Journal, Год журнала: 2024, Номер 17(2), С. 831 - 861

Опубликована: Июнь 25, 2024

Breast Cancer (BC) is a complex disease with high incidence in developed countries. According to the World Health Organization (WHO), it accounted for 11.7% of all new cancer cases worldwide 2020, an estimated 2.3 million diagnosis every year. A 2.5% annual reduction mortality could prevent 2.5 deaths between 2020 and 2040. In current work systematic review was conducted drugs under clinical trials or approved treatment BC. It observed that many were repurposed BC over course time even though they originally some other disease. This called as Drug Repurposing. approach has gained significant attention recent years promising alternative traditional drug discovery, which often costly, time-consuming, failure rate. Thirteen be we dig deep into their molecular background reasons efficacies treatment. Molecular targets these human system predicted protein interaction networks analysed out genes responsible events. Few seen progression, BRCA1, BRCA2, PALB-2, ATM, TP53, PTEN, HER2/neu participate various biological pathways, such PI3K/Akt/mTOR ER processes tumor microenvironment, epithelial-mesenchymal transition, DNA damage response pathways. Mutations alterations pathways can lead development understanding roles help diagnostic therapeutic strategies. study offers in-silico perspective powerful tool find potentially effective by analysing mechanisms signalling involved progression.

Язык: Английский

Процитировано

1