Kidney Stone Disease (KSD) constitutes a multifaceted disorder, emerging from a confluence of environmental and genetic determinants, and is characterized by a high frequency of occurrence and recurrence. Our objective is to elucidate potential causative proteins and identify prospective pharmacological targets within the context of KSD. This investigation harnessed the unparalleled breadth of plasma protein and KSD pooled genome-wide association study (GWAS) data, sourced from the United Kingdom Biobank Pharma Proteomics Project (UKBPPP) and the FinnGen database version R10. Through Mendelian randomization analysis, proteins exhibiting a causal influence on KSD were pinpointed. Subsequent co-localization analyses affirmed the stability of these findings, while enrichment analyses evaluated their potential for pharmacological intervention. Culminating the study, a phenome-wide association study (PheWAS) was executed, encompassing all phenotypes (2408 phenotypes) catalogued in the FinnGen database version R10. Our MR analysis identified a significant association between elevated plasma levels of proteins FKBPL, ITIH3, and SERPINC1 and increased risk of KSD based on genetic predictors. Conversely, proteins CACYBP, DAG1, ITIH1, and SEMA6C showed a protective effect against KSD, documented with statistical significance (P<0.05). Co-localization analysis confirmed these seven proteins share genetic variants with KSD, signaling a shared genetic basis (PPH3 + PPH4 > 0.8). Enrichment analysis revealed key pathways including hyaluronan metabolism, collagen-rich extracellular matrix, and serine-type endopeptidase inhibition. Additionally, our PheWAS connected the associated proteins with 356 distinct diseases (P<0.05), highlighting intricate disease interrelations. In conclusion, our research elucidated a causal nexus between seven plasma proteins and KSD, enriching our grasp of prospective therapeutic targets.
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http://dx.doi.org/10.1007/s00240-024-01627-7 | DOI Listing |
CNS Neurosci Ther
January 2025
Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China.
The study found a significant causal relationship between coffee intake and obsessive-compulsive disorder, showing a negative correlation. There was no causal relationship between coffee intake and other mental disorders. The sensitivity analysis test found no pleiotropy affecting the results, and no single nucleotide polymorphism had a major impact on the robustness of the results, indicating that the results are stable and reliable.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Background: Evidence indicates a negative link between glucosamine and age-related cognitive decline and sarcopenia. However, the causal relationship remains uncertain. This study aims to verify whether glucosamine is causally associated with cognitive function and sarcopenia.
View Article and Find Full Text PDFThe global outbreak of COVID-19, caused by the SARS-CoV-2 virus, has been linked to long-term neurological complications, including an increased risk of Alzheimer's disease (AD) among older adults. However, the precise genetic impact of COVID-19 on long-term AD development remains unclear. This study leveraged genome-wide association study (GWAS) data and genotype data to explore the genetic association between AD and various COVID-19 phenotypes across European ancestry (EA) and African ancestry (AA) cohorts, and the possibility of a causal effect of COVID-19 on AD.
View Article and Find Full Text PDFBackground: The long-term impact of opioid use disorder (OUD) on brain health has been little explored although of potentially high public health importance.
Objectives: To investigate the potential causal impact of OUD on later life brain health outcomes, including dementia, stroke and brain structure.
Methods: Observational and Mendelian randomization (MR) analyses were conducted.
South Asians are at higher risk of dyslipidaemia-a modifiable risk factor for cardiovascular diseases (CVDs). We aimed to identify protein targets for dyslipidaemia and CVDs in this population. We used a two-sample Mendelian randomization (MR) approach, supplemented with MR-Egger, weighted median, colocalization, and generalized MR (GMR), to evaluate the effect of 2,800 plasma proteins on high/low/non-high-density lipoprotein cholesterol (HDL-C/LDL-C/nonHDL-C), total cholesterol, and triglycerides.
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