PNPLA3 inhibition: Replacing one Evil with the Other? DOI Creative Commons
Arnold von Eckardstein, Mary Gonzalez Melo

The Journal of Clinical Endocrinology & Metabolism, Год журнала: 2024, Номер unknown

Опубликована: Май 30, 2024

Journal Article Accepted manuscript PNPLA3 inhibition: Replacing one Evil with the Other? Get access Arnold von Eckardstein, Eckardstein Institute of Clinical Chemistry, University Zurich and Hospital Zurich, Switzerland Correspondence to: MD, Raemistrasse 100, CH 8091 ZURICH, Switzerland, Email: [email protected]. https://orcid.org/0000-0002-1666-2266 Search for other works by this author on: Oxford Academic Google Scholar Mary Julieth Gonzalez Melo https://orcid.org/0000-0001-5261-0116 The Endocrinology & Metabolism, dgae377, https://doi.org/10.1210/clinem/dgae377 Published: 31 May 2024 history Received: 19 Revision received: 25 Editorial decision: 28 Accepted: 30

Язык: Английский

Circulating Proteins and IgA Nephropathy DOI
Chen Tang, Pei Chen, Linlin Xu

и другие.

Journal of the American Society of Nephrology, Год журнала: 2024, Номер 35(8), С. 1045 - 1057

Опубликована: Апрель 30, 2024

Key Points A multiancestry proteome-wide Mendelian randomization analysis was conducted for IgA nephropathy. The findings from the study would help prioritize new drug targets and drug-repurposing opportunities. Background therapeutic options nephropathy are rapidly evolving, but early diagnosis targeted treatment remain challenging. We aimed to identify circulating plasma proteins associated with by studies across multiple ancestry populations. Methods In this study, we applied colocalization analyses estimate putative causal effects of 2615 on in Europeans 235 East Asians. Following two-stage network randomization, multitrait protein-altering variant annotation were performed strengthen reliability results. protein–protein interaction constructed investigate interactions between identified existing medications. Results Putative 184 13 protein–disease pairs European Asian ancestries identified, respectively. Two showed shared them (CFHR1 FCRL2). Supported evidence analysis, potential prioritized four opportunities suggested. further provided strong medications pathways that known be therapeutically important. Conclusions Our a number several require investigation.

Язык: Английский

Процитировано

6

Identification of druggable targets in acute kidney injury by proteome- and transcriptome-wide Mendelian randomization and bioinformatics analysis DOI Creative Commons
Jiachen Liu, Dongfeng Zeng, Yinhuai Wang

и другие.

Biology Direct, Год журнала: 2025, Номер 20(1)

Опубликована: Март 27, 2025

Acute kidney injury (AKI) remains a critical condition with limited therapeutic options, predominantly managed by renal replacement therapy. The challenge of developing targeted treatments persists. We integrated genetic data related to druggable proteins and gene expression AKI genome-wide association study (GWAS) findings. Based on multi-omics Mendelian randomization (MR), we identified the potential causal influence 5,883 unique genes AKI. also performed using reverse MR external cohort-based analysis verify robustness this relationship. Expression patterns these targets were examined bulk transcriptome single-cell data. In addition, drug repurposing analyses conducted explore existing medications. constructed molecular interaction network interplay between known drugs. Genetically predicted levels seven twelve associated an increased risk Of these, six (NCF1, TNFRSF1B, APEH, ACADSB, ADD1, FAM3B) prioritized based robust evidence validated in independent cohorts. Reverse showed one-way relationship targets. These are expressed proximal tubular cells, endothelial collecting duct-principal immune cells within both AKI-affected normal tissues. Several promising opportunities identified, such as telmisartan-NCF1, calcitriol-ACADSB, ethinyl estradiol-ACADSB. mapping pathway integration provided further insights, suggesting strategies for combinatorial therapies. This extensive investigation several highlighted repurposing. findings offer valuable insights that could shape future research development treatments.

Язык: Английский

Процитировано

0

Combining Genetic Proxies of Drug Targets and Time-to-event analyses From Longitudinal Observational Data To Identify Target Patient Populations DOI Creative Commons

Luke Zhang,

Prachi Kulkarni,

Farshad Farshidfar

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июнь 5, 2024

Abstract Background Human genetics is an important tool for identifying genes as potential drug targets, and the extensive genetic study of cardiovascular disease provides opportunity to leverage match specific patient populations targets improve prioritization selection clinical studies. Methods We selected well described variants in region PCSK9 (rs11591147 rs562556), ADRB1 (rs7076938), ACE (rs4968782 rs4363) BAG3 (rs2234962) use proxies effects drugs. Time-to-event analyses were utilized evaluate their on atrial fibrillation (AF) heart failure (HF) death and/or re-hospitalization using real-world longitudinal dataset. To mitigate effect confounding factors (CV) outcomes, we employed propensity score matching. Results After matching, a proxy inhibition (rs11591147) improved survival from CV death/heart transplant individuals following diagnosis ischemic (Hazard Ratio (HR) 0.78, P =0.04). A beta-blockade (rs7076938) freedom rehospitalization or with AF (HR 0.92, =0.001), HF 0.84, =0.017) 0.85, =0.0014). protective variant showed decreased risk composite outcome within 10 years patients (HR=0.96, =0.033). Notably, despite smaller cohort sizes after often observed numerically HRs reduced P, indicating more pronounced increased statistical association. However, not all replicated known treatment effects. Conclusions Genetic well-known drugs corroborate findings trials disease. Our results may demonstrate novel analytical approach that leverages evidence large effectively select where be most effective.

Язык: Английский

Процитировано

1

Introduction to Genomic-Driven Drug Discovery DOI
Arli Aditya Parikesit

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 167 - 184

Опубликована: Дек. 13, 2024

This chapter provides a comprehensive overview of the role genomics in accelerating drug development process. It highlights significant advancements large-scale population collections and whole genome sequencing approaches, which have significantly influenced multiple stages across lifespan discovery program. The emphasizes increasing importance genomic data target identification, prioritization, tractability, as well predicting outcomes from pharmacological perturbations. also discusses integrating technologies with other omics such proteomics metabolomics, to understand disease mechanisms better identify potential therapeutic targets. integration bioinformatics is pivotal harnessing power for endeavors. delves into computational approaches analytical frameworks that enable extracting meaningful insights vast datasets. Furthermore, it examines contributions field pharmacogenomics.

Язык: Английский

Процитировано

0

PNPLA3 inhibition: Replacing one Evil with the Other? DOI Creative Commons
Arnold von Eckardstein, Mary Gonzalez Melo

The Journal of Clinical Endocrinology & Metabolism, Год журнала: 2024, Номер unknown

Опубликована: Май 30, 2024

Journal Article Accepted manuscript PNPLA3 inhibition: Replacing one Evil with the Other? Get access Arnold von Eckardstein, Eckardstein Institute of Clinical Chemistry, University Zurich and Hospital Zurich, Switzerland Correspondence to: MD, Raemistrasse 100, CH 8091 ZURICH, Switzerland, Email: [email protected]. https://orcid.org/0000-0002-1666-2266 Search for other works by this author on: Oxford Academic Google Scholar Mary Julieth Gonzalez Melo https://orcid.org/0000-0001-5261-0116 The Endocrinology & Metabolism, dgae377, https://doi.org/10.1210/clinem/dgae377 Published: 31 May 2024 history Received: 19 Revision received: 25 Editorial decision: 28 Accepted: 30

Язык: Английский

Процитировано

0