bioRxiv Science⌕ Search

Biology subjects

Kim, W. S.

Publications and source records attributed to Kim, W. S..

9 recordsLinked to original sources

Folic acid polyglutamylation triggers MAP2K5 signaling to induce adipocyte lipid catabolism

Adipocyte signaling adaptively responds to macronutrients, but how essential micronutrients impact lipid homeostasis remains poorly understood. Here, we demonstrate that folate polyglutamylation, the sequential conjugation of glutamate residues to folate, serves as a dynamic biochemical process regulating metabolic signaling. Using our folate metabolomics platform, we show that polyglutamylated folic acid accumulates in healthy adipose tissue, but is depleted in obesity across mice and humans, independent of circulating folate levels. Genetic ablation of the polyglutamylation enzyme folylpolyglutamate synthase (Fpgs) in adipocytes suppresses lipid catabolism to induce cell-autonomous lipid accumulation, operating independently of canonical adipogenesis or downstream one-carbon flux. Target-engagement proteomics identifies monoglutamylated folic acid as a Map2k5-interacting molecule that inhibits Map2k5 activity, whereas Fpgs-mediated folic acid polyglutamylation acts as a chemical switch that disrupts this interaction to promote lipolysis. In vivo, whole-body inhibition of Map2k5 or adipose-targeted genetic depletion of Fpgs increases body fat mass in the absence of dietary obesogenic triggers. Furthermore, single-cell and single-nuclear transcriptomic analyses establish the Fpgs-Map2k5 pathway as a core transcriptional signature of mouse and human adipose tissues. These findings uncover a non-canonical signaling role for folate that regulates adipocyte lipid homeostasis.

biochemistry↗

Hepatic stearoyl-CoA desaturase deficiency ameliorates hyperglycemia through bile acid signaling in an insulin-independent manner

Hyperglycemia in Type 1 Diabetes (T1D) is managed almost exclusively via exogenous insulin therapy, an approach restricted by significant glycemic fluctuations, long-term side effects such as weight gain, and high economic burden. Identifying physiological pathways capable of clearing blood glucose independent of insulin is therefore of paramount clinical importance. Here, we demonstrate that liver-specific stearoyl-CoA desaturase-1 (SCD1) deficiency protects against diabetic hyperglycemia and hepatic steatosis in an insulin-independent manner. SCD1 ablation decreases cellular oleate availability, altering lipid flux and redirecting excess cholesterol into alternative biosynthetic pathways. This redirection drives a 2-fold elevation in hepatic bile acids and a striking 10-fold increase in plasma bile acids, predominantly characterized by the accumulation of taurocholic acid. This shifted bile acid pool stimulates the expression of glucose transporter 1 (Glut1) in the liver via activation of the nuclear hormone receptor FXR, facilitating basal glucose clearance in the absence of insulin. Genetic deletion models show that while the hepatokine FGF21 serves as a partial mediator of this phenotype, the local bile acid-FXR axis remains a sufficient driver of systemic glucose clearance. Finally, we show that dietary oleate supplementation completely reverses this protective phenotype, turning down Glut1 expression and restoring overt diabetes. Together, our findings uncover a novel bile acid-FXR-Glut1 signaling axis triggered by SCD1 inhibition, offering a framework for insulin-independent glycemic control. Article HighlightsHere, we demonstrate that liver-specific stearoyl-CoA desaturase-1 (Scd1) deficiency protects against diabetic hyperglycemia and hepatic steatosis in an insulin-independent manner. Mechanistically, Scd1 ablation redirects excess cholesterol into bile synthesis, predominantly characterized by an increase in liver and plasma taurocholic acid. These shifted bile acids stimulate hepatic glucose transporter 1 (Glut1) expression via the farnesoid X receptor (FXR) activation to facilitate basal glucose clearance. While the hepatokine FGF21 acts as a partial systemic mediator, the local bile acid-Fxr axis remains a sufficient driver of clearance, a protective phenotype completely reversed by dietary oleate supplementation.

biochemistry↗

Microbial metabolism of methotrexate produces a STAT3 signaling molecule that alleviates gut inflammation

Methotrexate (MTX) therapy in inflammatory bowel disease (IBD) is often limited by inter-individual variability in clinical response and adverse effects. Gut microbiota contribute to MTX therapeutic response and toxicity by metabolizing MTX and altering its bioavailability. However, how inflammation alters microbial MTX metabolism and how its metabolites influence the host remain poorly understood. Here, we identify Clostridium asparagiforme as a potent and efficient metabolizer of methotrexate, producing deoxyaminopteroic acid (DAMPA) in the distal gastrointestinal tract. We demonstrate that DAMPA preserves mitochondrial integrity by promoting mitophagy in intestinal epithelial cells through mitochondrial STAT3 signaling. DAMPA administration attenuates intestinal inflammation in vivo, and improves metabolic dysfunction associated with IBD. Together, these findings reveal an unappreciated role for a gut microbial MTX metabolite in mediating epithelial homeostasis during intestinal inflammation, thus reframing microbial MTX metabolism from passive drug detoxification to active regulation of host mitochondrial and inflammatory homeostasis.

microbiology↗

Accurate somatic variant detection from formalin fixed, paraffin embedded tissue (FFPE) derived WES and WGS by DeepOmicsFFPE-PLUS, a sequence context-based transformer

Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studies, yet their utility remains constrained by fixation-induced DNA damage and subsequent sequencing artifacts. To comprehensively characterize and address this challenge, we analyzed matched FFPE and fresh-frozen tumor samples from two institutions, spanning different storage durations, DNA qualities, sequencing platforms (WES and WGS), exome capture kits, and somatic variant callers. We found that FFPE-induced artifacts exhibit strong batch- and age-specific patterns, with a predominance of C:G>T:A substitutions, which particularly complicate the accurate identification of low allele frequency true variants. Enzymatic repair methods partially alleviated these artifacts but remained insufficient. To overcome these limitations, we developed DeepOmicsFFPE-PLUS(https://github.com/Theragen-Bio/DeepOmicsFFPE-PLUS), an advanced AI-based tool to accurately distinguish true somatic variants from FFPE-specific artifacts. DeepOmicsFFPE-PLUS demonstrated consistently superior performance across diverse conditions, achieving high sensitivity and specificity--even for low-frequency variants--outperforming existing tools. Application of our model to WGS data further enabled recovery of biologically relevant mutational signatures, including restoration of microsatellite instability (MSI)-associated signatures initially obscured by FFPE artifacts. Our findings underscore the necessity of artifact-aware variant calling in FFPE genomics and establish DeepOmicsFFPE-PLUS as a robust tool for artifact removal, enabling high-fidelity downstream analyses and personalized therapeutic target discovery.

cancer biology↗

Asymmetric distribution of mitochondrial Ca2+ regulators specifies compartment-specific mitochondrial function and neuronal development

Neuronal polarization is essential for functional compartmentalization, enabling dendritic synaptic integration and axonal action potential generation. While structural differences in mitochondria across compartments have been identified, their functional distinctions remain unclear. Here, we uncovered compartment-specific mitochondrial Ca2+ dynamics and their molecular determinants. In axonal mitochondria, Ca2+ uptake through MCU occurs independently of ER-stored Ca2+ release, with faster matrix Ca2+ clearance than dendritic mitochondria, where Ca2+ uptake predominantly originates from ER Ca2+. The ER-independent mitochondrial Ca2+ uptake in axonal mitochondria is mediated by enriched MCU-regulating proteins, MICU1 and MICU2, while higher NCLX expression facilitates rapid Ca2+ clearance. Moreover, NCLX knockdown, which functionally mimics a mental retardation-associated mutation, caused more significant axonal branching defects compared to dendrites in vivo, aligning with its enrichment in axons. These findings highlight fundamental Ca2+-modulating features and developmental importance of neuronal mitochondria in a compartment-specific manner and reveal the key underlying molecular mechanisms.

neuroscience↗

Reduced plasma hexosylceramides in frontotemporal dementia are a biomarker of white matter integrity

INTRODUCTIONBlood biomarkers are needed to facilitate new therapeutic trials and improve management of behavioural variant frontotemporal dementia (bvFTD). Since altered white matter integrity is characteristic of bvFTD, this study aimed to determine if plasma levels of myelin-enriched glycolipids are altered in bvFTD and correlate with white matter integrity. METHODSNineteen glycolipids were quantified in bvFTD (n=31) and control (n=26) plasma samples. White matter integrity was assessed using MRI-derived fibre tract density and cross-section (FDC). RESULTSEleven lipids were significantly lower in bvFTD compared to control subjects, seven were inversely correlated with disease duration, and twelve were positively correlated with cognitive performance, with C22:0 hexosylceramide most strongly correlated. FDC was lower in frontotemporal white matter tracts of bvFTD compared to control subjects, and plasma C22:0 hexosylceramide was significantly correlated with FDC in these tracts. DISCUSSIONCirculating glycolipids may be a valuable biomarker of myelin integrity and disease progression in FTD.

neuroscience↗

AI-driven high-throughput automation of behavioral analysis and dual-channel wireless optogenetics for multiplexing brain dynamics

Advances in behavioral optogenetics are limited by the absence of high-throughput pipelines for the automated analysis of behavior in freely behaving animals. Although a variety of AI algorithms has been proposed that enable automation of behavioral analysis, existing methods are generally low-throughput. In addition, optogenetic manipulation of neural circuits typically requires physical tethers to light sources, which limits the number of brain areas that can be targeted and thus constrains behavioral testing. Here, we develop a new wireless platform that combines a battery-free dual-channel optogenetic implant with an AI algorithm for high-throughput behavioral analysis. In our platform, a customized AI algorithm detected and quantified freezing behavior of rats that had undergone fear conditioning. Notably, our platform allows up to four enclosures to be monitored simultaneously. Wireless dual-channel optogenetic devices were implanted in the basolateral amygdala (BLA) to permit independent modulation of BLA principal neurons (red light, AAV-CaMKII-JAWS) or BLA interneurons (blue light, AAV-mDlx-ChR2) in freely behaving animals. In vivo validation with behaving rats demonstrates the utility of the telemetry system for large-scale optogenetic studies. SignificanceAI algorithms can enable automation of behavioral analysis and thereby facilitate the progress on behavioral optogenetics. Successful integration of advanced wireless dual-channel optoelectronic devices with biological systems can also yield new tools and techniques for neuroscience research, particularly in the context of techniques for optogenetics. Here, we propose a new approach that combines an advanced AI algorithm with a low power wireless telemetry system, yielding powerful capabilities in the understanding of brain functions and the evaluation of the behavioral consequences of neural circuit manipulations. In vivo studies using optimized systems demonstrate high-throughput automation of behavioral manipulation and analysis via AI-powered wireless telemetry.

neuroscience↗

Simultaneous, cell-intrinsic downregulation of PD-1 and TIGIT enhances the effector function of CD19-targeting CAR T cells and promotes an early-memory phenotype

CD19-targeting chimeric antigen receptor (CAR) T cells have become an important therapeutic option for patients with relapsed and refractory B cell malignancies. However, recent clinical data indicate that a significant portion of patients still do not benefit from the therapy owing to various resistance mechanisms, including high expression of multiple inhibitory immune checkpoint receptors on activated CAR T cells. Here, we report a lentiviral two-in-one CAR T approach in which two checkpoint receptors are downregulated simultaneously by a dual short-hairpin RNA (shRNA) cassette integrated into a CAR vector. Using this system, we evaluated CD19-targeting CAR T cells in the context of four different checkpoint combinations--PD-1/TIM-3, PD-1/LAG-3, PD-1/CTLA-4 and PD-1/TIGIT--and found that CAR T cells with PD-1/TIGIT downregulation uniquely exerted synergistic antitumor effects in mouse xenograft models compared with PD-1 single downregulation, and maintained cytolytic and proliferative capacity upon repeated antigen exposure. Importantly, functional and phenotypic analyses of CAR T cells as well as analyses of transcriptomic profiles suggested that downregulation of PD-1 enhances short-term effector function, whereas downregulation of TIGIT is primarily responsible for maintaining a less-differentiated/exhausted state, providing a potential mechanism for the observed synergy. The PD-1/TIGIT-downregulated CAR T cells generated from diffuse large B-cell lymphoma patient-derived T cells using a clinically applicable manufacturing process also showed robust antitumor activity and significantly improved persistence in vivo compared with conventional CD19-targeting CAR T cells. Overall, our results demonstrate that the cell-intrinsic PD-1/TIGIT dual downregulation strategy may prove effective in overcoming immune checkpoint-mediated resistance in CAR T therapy.

immunology↗

Comprehensive genetic analysis by whole exome sequencing in 352 Korean pediatric patients with unknown neurodevelopmental disorders

ImportanceAccurate diagnosis of pediatric patients with complicated neurological problems demands a well-coordinated combination of robust genetic analytic capability and delicate clinical evaluation. It should be tested whether this challenge can be augmented by whole exome sequencing (WES).\n\nObjectiveTo evaluate the utility of WES-based diagnosis and discovery of novel variants of undiagnosed patients with complex neurodevelopmental problems in a country with a centralized medical system.\n\nDesign, setting, and participantsA cohort of 352 Korean patients, believed to cover a major portion of the entire country from July 2014 to April 2017, with a broad spectrum of neurodevelopmental disorders without any pathogenic variants revealed by conventional methods were evaluated by trio-based WES at Seoul National University Childrens Hospital.\n\nExposuresWES of patients and parents and subsequent evaluation of genetic variants.\n\nMain outcomes and measuresGenetic variants from each patient were evaluated for known disease association and novel variants were assessed for possible involvement with neurodevelopment process.\n\nResultsWe identified disease-causing variants, including newly discovered variants, in 57.4% of the probands, who had underwent a mean of 5.6 years of undiagnosed periods and visited mean of 2.3 tertiary hospitals. The cohort included 112 patients with variants that were previously reported as pathogenic (31.8%), 16 patients with copy number variants (4.5%) and 27 patients with variants that were associated with different clinical symptoms (7.7%). We also discovered potentially pathogenic variants from 47 patients that required further functional assessments (13.4%) and demonstrated potential implications in neurodevelopmental disorders. Following the genetic analysis, we provided more precise treatments to selected patients. A few clinical vignettes are presented that illuminate the potential diagnostic pitfalls that one could have encountered without this approach.\n\nConclusions and relevanceOur results highlight the utility of WES-based diagnosis for improved patient care in a country with a centralized medical system and discovery of novel pathophysiology mechanisms.\n\nKey pointsO_ST_ABSQuestionC_ST_ABSWhat is the advantage of whole exome sequencing based diagnosis of pediatric neurology patients with unknown rare symptoms in a large tertiary clinic in a country with a centralized medical system?\n\nFindingsWhole exome sequencing of 352 Korean patients, with a mean of 5.7 years of undiagnosed period, yielded 44.0% of conservative diagnostic yield. A number of cases were directly benefitted by trio-based WES via termination of diagnostic odyssey, genetic counseling for next offspring, or suggestion of more effective and customized treatment options.\n\nMeaningWe report on the establishment of a national-level whole exome-based diagnosis system, with emphasis on deliberate integration of clinical interpretation and genetic analysis. Whole exome sequencing should be a choice of diagnostic tools for pediatric neurologic patients with ambiguous symptoms.

genetics↗