Stroke genetics informs drug discovery and risk prediction across ancestries

Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries

Erythromycin-metal complexes: One-step synthesis, molecular docking analysis and antibacterial proficiency against pathogenic strains

The study focused on the extraction of free erythromycin from commercially manufactured tablets and the use of metal salts to synthesize erythromycin-metal complexes, specifically involving silver (Ag), nickel (Ni), cobalt (Co), and copper (Cu). The synthesis was confirmed through various methods, including elemental analysis, thermogravimetric analysis, Fourier-transform infrared (FTIR), and UV–visible spectroscopy. The microbiological investigation involved Salmonella typhi, Escherichia coli, Staphylococcus aureus, Bacillus cereus, Candida albicans, and Microsporum canis as test organisms. The NCCLS broth microdilution reference method was used to determine the minimum fungicidal concentration and minimum inhibitory concentration of the complexes. The synthesized complexes were highly effective against a variety of fungi and bacteria, with compound Ery-Cu having MIC as low as 1.56 mg/mL, Ery-Cu and Ery-Ni with MBCs of 6.25 mg/mL and Ery-Cu having MFC of 6.25 mg/mL. Dose-dependent inhibitory effects were found upon examination of the antimicrobial susceptibility of specific complexes (Cu, Ni, Co and Ag) at varying concentrations of 100, 50, 25 and 12.5 mm/mL. Antibiotic susceptibility testing revealed efficacy against the tested pathogens. The study suggests that the synthesis of erythromycin-metal complexes, coupled with their antibacterial effectiveness against a diverse spectrum of bacteria and fungi, as they showed promising inhibitory properties when tested against a range of test species (Bacillus cereus, Staphylococcus aureus, Escherichia coli, Salmonella typhi, Candida albicans, and Microsporum canis), could lead to the development of innovative antibacterial agents. Molecular docking simulations were used to examine the interactions between metal complexes with proteins filamentous temperature-sensitive protein Z and lanosterol 14α-demethylase. The study highlights the need for further exploration in pharmaceutical research

Stroke genetics informs drug discovery and risk prediction across ancestries

: Previous genome-wide association studies (GWASs) of stroke&nbsp;-&nbsp;the second leading cause of death worldwide&nbsp;-&nbsp;were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P &lt; 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries