bioRxiv Science⌕ Search

Biology subjects

Kwak, H. A.

Publications and source records attributed to Kwak, H. A..

3 recordsLinked to original sources

Chemical Coverage of the Human Reactome

Chemical probes and chemogenomic compounds are valuable tools to link gene to phenotype, explore human biology and uncover novel targets for precision medicine. A growing federation of scientists is contributing to the mission of Target 2035 - discovering chemical tools for all druggable human proteins by the year 2035. It is expected that these compounds will enable the understanding of the regulation of cellular machineries and biological processes across the compendium of signaling pathways that animate cellular life. Here, we draw a landscape of the current chemical coverage of the human Reactome. We find that even though available chemical probes and chemogenomic compounds are targeting only 3% of the human proteome, they cover 53% of the human Reactome, due to the fact that 46% of human proteins are involved in more than one cellular pathway. As such, existing chemical probes and chemogenomic compounds already represent a versatile toolkit to manipulate a vast portion of human biology. Pathways targeted by existing drugs may be enriched in unknown but valid drug targets and could be prioritized in future Target 2035 efforts.

bioinformatics↗

A resource to enable chemical biology and drug discovery of WDR Proteins

Protein class-focused drug discovery has a long and successful history in pharmaceutical research, yet most members of druggable protein families remain unliganded, often for practical reasons. Here we combined experiment and computation to enable discovery of ligands for WD40 repeat (WDR) proteins, one of the largest human protein families. This resource includes expression clones, purification protocols, and a comprehensive assessment of the druggability for hundreds of WDR proteins. We solved 21 high resolution crystal structures, and have made available a suite of biophysical, biochemical, and cellular assays to facilitate the discovery and characterization of small molecule ligands. To this end, we use the resource in a hit-finding pilot involving DNA-encoded library (DEL) selection followed by machine learning (ML). This led to the discovery of first-in-class, drug-like ligands for 9 of 20 targets. This result demonstrates the broad ligandability of WDRs. This extensive resource of reagents and knowledge will enable further discovery of chemical tools and potential therapeutics for this important class of proteins.

biochemistry↗

Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder

ImportanceExamining translatable mitochondrial blood-based biological markers to identify its association with metabolic diseases in bipolar disorder. ObjectiveTo test whether mitochondrial metabolites, mainly lactate, and cell-free circulating mitochondrial DNA are associated with markers of metabolic syndrome in bipolar disorder, hypothesizing higher lactate but unchanged cell-free circulating mitochondrial DNA levels in bipolar disorder patients with metabolic syndrome. DesignIn a cohort study, primary testing from the FondaMental Advanced Centers of Expertise for bipolar disorder was conducted, including baseline plasma samples and blinded observers for all experimentation and analysis. SettingThe FondaMental Foundation coordinate a multicenter, multidisciplinary French networks aiming at creation of cohorts to improve identification of homogeneous subgroups of psychiatric disorders toward personalized treatments. ParticipantsThe FACE-BD primary testing cohort includes 837 stable bipolar disorder patients. The I-GIVE validation cohort consists of 235 participants: stable and acute bipolar patients, non-psychiatric controls, and acute schizophrenia patients. Participants were randomly selected based on biosample availability. ExposuresAll patients underwent the standard primary care within their center. No intentional exposures were part of this study. Main Outcome and MeasuresThe primary outcome modelled an association with lactate and metabolic syndrome in this population. Reflective a priori hypothesis. ResultsMultivariable regression analyses show lactate association with triglycerides (Est= 0.072(0.023), p = 0.0065,), fasting glucose (Est = 12(0.025), p= 0.000015) and systolic (Est= 0.003(0.0013), p= 0.031) and diastolic blood pressure (Est = 0.0095{+/-}0.0017, p= 1.3e-7). Significantly higher levels of lactate were associated with presence of metabolic syndrome (Est = 0.17{+/-}0.049, p=0.00061) after adjusting for potential confounding factors. Mitochondrial-targeted metabolomics identified distinct metabolite profiles in patients with lactate presence and metabolic syndrome, differing from those without lactate changes but with metabolic syndrome. Circulating cell-free mitochondrial DNA was not associated with metabolic syndrome. Conclusion & RelevanceThis thorough analysis mitochondrial biomarkers indicate the associations with lactate and metabolic syndrome, whereas circulating cell-free mitochondrial DNA is limited in the context of metabolic syndrome. This study is relevant to improve the identification and stratification of bipolar patients with metabolic syndrome and provide potential personalized-therapeutic opportunities. Key PointsO_ST_ABSQuestionC_ST_ABSCan lactate, a mitochondrial metabolite, indicate metabolic syndrome in bipolar disorder? FindingIn 837 stable bipolar disorder patients, we found high lactate levels significantly associated with metabolic syndrome, unlike circulating cell-free mitochondrial DNA. This pattern also appeared in acute bipolar and schizophrenia cases. Mitochondrial-targeted metabolomics distinguishes patients with high lactate and metabolic syndrome from those without lactate changes, but presence of metabolic syndrome. MeaningThis research underscores lactate as a potential biomarker for identifying bipolar disorder patients with metabolic syndrome. It opens new avenues for personalized treatment strategies, leveraging mitochondrial metabolite profiling to improve patient stratification and therapeutic outcomes.

neuroscience↗