Biology subjects

He, W.

Publications and source records attributed to He, W..

At least 19 recordsLinked to original sources

bioRxiv2026

Stabilizing gas in aqueous liquids with metal-organic frameworks for persistent acoustic transduction

Gas is the most efficient mediator of acoustic energy owing to its high compressibility, yet its thermodynamic instability in aqueous environments makes it inherently transient, limiting sustained ultrasound-biological interfacing. Here, we show that gas can be stabilized, confined, and manipulated in the liquid phase to function as a persistent acoustic transducer. By trapping gas within designed microporous metal-organic framework (MOF) nanocrystals, interfacial forces establish a stable ternary-phase equilibrium that suppresses water intrusion and prevents gas collapse, enabling reversible, non-destructive oscillations under ultrasound stimulation and providing design principles for stabilizing gas in liquid environments. By leveraging high-resolution ultra-high-speed digital image correlation (DIC), we unveil the previously inaccessible spatiotemporal dynamics of confined gas oscillations within these nanotransducers under ultrasound stimulation, revealing localized amplification of the surrounding acoustic field and establishing a quantitative structure-function relationship for programmable acoustic transduction. These aqueous-phase gas nanotransducers exhibit sustained acoustic amplification over millions of excitation cycles and remain functional after prolonged storage (>2 years) under physiological conditions. In vitro and in vivo, this platform enables long-term ultrasound imaging and sustained, non-invasive neuromodulation by converting confined gas oscillations into persistent and amplified mechanical actuation. Our findings establish a generalizable design framework for stabilizing gas in liquid environments to achieve persistent and programmable acoustic transduction, thereby enabling sustained ultrasound-biological interfacing and opening opportunities for gas-based therapeutics.

bioengineering↗

bioRxiv2026

RNA-SpecFlow: RNA-Conditioned Spectral Flow for Histology Synthesis

RNA-conditioned histology synthesis models the range of tissue appearances compatible with a transcriptomic representation. We present RNA-SpecFlow, a continuous-latent FlowAR architecture that applies molecular conditioning at adjacent-scale feature transitions. A Biological Latent Adapter maps RNA representations into the generator's condition space. A shared spectral fusion module separates aligned features into complementary low- and high-frequency bands, modulates each band independently with RNA, and combines them through residual fusion. The generator uses five latent grids of sizes 1, 2, 4, 8, and 16, with per-scale velocity flow matching and an auxiliary objective for retaining the condition in backbone features. We accompany this architectural specification with an analysis of archived outputs from five TCGA cancer cohorts, including 500 saved real/generated tile pairs. Nuclear analysis yields a concrete measurement finding: increased detection counts can coincide with reduced segmentation agreement. On 12 public images with 303 annotated nuclei, twofold enlargement increases HoVer-Net predictions from 287 to 415 while mean panoptic quality changes from 0.673 to 0.458. Switching analysis pipelines also reverses the direction of real/generated count differences in two cohorts. RNA-SpecFlow provides a design for repeated frequency-specific molecular conditioning, and the accompanying experiments establish the sensitivity of morphology-based evaluation to detector inputs and analysis choices.

bioinformatics↗

bioRxiv2026

Engineering Upd-like to broadly restrict arbovirus infection and vector competence in mosquitoes

The global expansion of mosquito-borne viruses poses a growing threat to public health, yet the endogenous signals that activate antiviral immunity in mosquito vectors remain incompletely understood. Here, we identify Aedes aegypti Upd as an activator of JAK/STAT signaling that restricts arbovirus infection. Loss of Upd increased infection and dissemination of the flaviviruses ZIKV and DENV, as well as the alphavirus SINV, whereas blood meal inducible midgut overexpression reduced ZIKV and SINV infection. Mechanistically, Upd associated with the extracellular region of the Domeless (Dome) receptor, and Upd deficiency markedly reduced STAT phosphorylation and nuclear accumulation in the midgut. Upd expression was transiently induced in the midgut by an uninfected blood meal but remained elevated following ZIKV challenge, linking physiological responses to blood feeding with antiviral defense. In mammal mosquito transmission models, Upd overexpression reduced viral acquisition from infected hosts, whereas Upd deficiency enhanced viral dissemination and increased transmission following systemic infection. Together, these findings identify Upd as an endogenous regulator of mosquito JAK/STAT signaling and provide proof of principle that temporally targeted Upd expression can reduce arbovirus susceptibility and vector competence.

microbiology↗

bioRxiv2026

Reinforcement learning with evolutionary priors unlocks multi-site enzyme optimization from sparse experimental feedback

Industrial enzymes underpin sustainable manufacturing, yet natural proteins rarely combine the activity, robustness and application compatibility required for practical use. Engineering such properties requires identifying beneficial combinations of interacting mutations within vast sequence spaces that are too large to search exhaustively and too sparsely sampled to model reliably. Here we introduce AlphaVariant, a reinforcement-learning (RL) framework that couples a generative evolutionary prior with iteratively updated low-N fitness models to enable feedback-driven search of large combinatorial protein sequence spaces. Across six experimentally measured protein fitness landscapes, AlphaVariant ranked first on the three large, non-enumerable multi-site landscapes. In two successive rounds of savinase activity optimization, AlphaVariant-designed libraries yielded 75.4% and 83.8% activity-improved variants among experimentally characterized candidates even as the accessible mutation space expanded from 25 to 67 positions. The search identified beneficial mutation combinations involving up to 17 structurally dispersed sites and produced a variant with 7.1-fold higher activity than wild type after only two design-test cycles. We then extended AlphaVariant to jointly optimize activity, thermostability and a patent-informed constraint for intellectual-property freedom. This multi-objective search yielded variants that outperformed the commercial protease Uno 100 L in both biochemical assays and application-relevant detergent washing tests. These results demonstrate that generative RL can efficiently navigate vast protein fitness landscapes, progressively incorporate multiple engineering objectives and convert sparse experimental feedback into enzyme variants with industrially relevant performance, effectively resolving the limits of biocatalyst engineering.

bioinformatics↗

bioRxiv2026

BCKDK Inhibitors Directly Antagonize Angiotensin II Type 1 Receptor and Induce Vasodilation Independently of BCAA Catabolism or BCKDK

Branched-chain amino acids (BCAA) have been implicated in diabetes and heart failure, leading to ongoing clinical trials with inhibitors of BCKDK, a key regulator of BCAA catabolism. We have previously shown that these inhibitors promote vasodilation and lower blood pressure, well-known cardioprotective effects, but how this occurs remained unclear. We show here, using explanted vessels, in vivo hemodynamics and telemetry, and genetically modified mice, that the vasodilatory effect of BCKDK inhibitors is direct, rapid, independent of nitric oxide, independent of BCAA catabolism, and most strikingly, independent of BCKDK itself. Instead, we demonstrate, using structural and biochemical studies, that BCKDK inhibitors directly antagonize the angiotensin II type I receptor (AT1R) and consequent angiotensin-mediated vasoconstriction. These data demonstrate a strong off-target effect of BCKDK inhibitors, independent of BCAA or BCKDK, which may explain their cardioprotective effects but also questions if this protection would be additive to existing AT1R blockers.

physiology↗

bioRxiv2026

An AI-powered cloud biofoundry for autonomous biological research

Autonomous experimentation, where an automated system designs, performs, analyzes, and iteratively improves experiments with minimal human intervention represents a transformative scientific research paradigm. However, it remains hampered by the disconnect between computational design and experimental execution. Here we present iCloudBiofoundry, a cloud-accessible, scalable, and self-evolving platform that bridges this divide. A scientific multi-agent system, iBioGenie, plans research workflows by converting natural language research objectives into testable hypotheses and experimentally grounded protocols using literature, databases, and computational tools. A physical AI layer, BiofoundryAI, translates them into executable workflows that run autonomously on distributed robotic biofoundries, and collects the data for iterative design. We demonstrate the end-to-end capabilities of iCloudBiofoundry across three representative case studies spanning enzyme retrieval, protein engineering, and metabolic engineering. By integrating agentic AI with physical AI, iCloudBiofoundry provides a cloud accessible platform that unifies computational design and robotic execution, enabling autonomous biological research.

synthetic biology↗

bioRxiv2026

4-Hydroxybenzaldehyde Attenuates Isoproterenol-induced Cardiac Fibrosis via TGF-β-Smad2/3 Signaling Pathway

This study aims to investigate the cardioprotective effects of 4-Hydroxybenzaldehyde (4-HBA) against isoproterenol (ISO)-induced cardiac fibrosis and to elucidate the underlying mechanisms. In vivo, cardiac fibrosis was induced in C57BL/6 mice by subcutaneous injection of ISO, and the mice were treated with 4-HBA or a TGF-{beta} inhibitor. Assessments using echocardiography, histopathology, and Western blotting demonstrated that 4-HBA significantly alleviated ISO-induced cardiac dysfunction, reduced collagen deposition, and attenuated apoptosis in mice. Mechanistically, 4-HBA inhibited TGF-{beta} expression and Smad2/3 phosphorylation. In vitro, ISO was applied to cardiomyocytes (HL-1) and cardiac fibroblasts (MCFs), with or without 4-HBA or TGF-{beta} inhibitor intervention. The results showed that 4-HBA suppressed HL-1 apoptosis and fibroblast proliferation, and significantly reduced the expression of extracellular matrix genes, TGF-{beta} levels, and Smad2/3 phosphorylation in MCFs. These findings indicate that 4-HBA reduces myocardial injury while targeting the TGF-{beta}/Smad2/3 pathway to attenuate cardiac fibrosis, highlighting its potential as a therapeutic agent for fibrotic cardiomyopathy.This study aims to investigate the cardioprotective effects of 4-Hydroxybenzaldehyde (4-HBA) against isoproterenol (ISO)-induced cardiac fibrosis and to elucidate the underlying mechanisms. In vivo, cardiac fibrosis was induced in C57BL/6 mice by subcutaneous injection of ISO, and the mice were treated with 4-HBA or a TGF-{beta} inhibitor. Assessments using echocardiography, histopathology, and Western blotting demonstrated that 4-HBA significantly alleviated ISO-induced cardiac dysfunction, reduced collagen deposition, and attenuated apoptosis in mice. Mechanistically, 4-HBA inhibited TGF-{beta} expression and Smad2/3 phosphorylation. In vitro, ISO was applied to cardiomyocytes (HL-1) and cardiac fibroblasts (MCFs), with or without 4-HBA or TGF-{beta} inhibitor intervention. The results showed that 4-HBA suppressed HL-1 apoptosis and fibroblast proliferation, and significantly reduced the expression of extracellular matrix genes, TGF-{beta} levels, and Smad2/3 phosphorylation in MCFs. These findings indicate that 4-HBA reduces myocardial injury while targeting the TGF-{beta}/Smad2/3 pathway to attenuate cardiac fibrosis, highlighting its potential as a therapeutic agent for fibrotic cardiomyopathy.

molecular biology↗

bioRxiv2026

Plasma membrane PI4P recruits SNAP47 to mediate SNARE-dependent AMPAR exocytosis during synaptic potentiation

The synaptic delivery of the AMPA-type glutamate receptors (AMPARs) is crucial for longterm potentiation (LTP) of excitatory synapses, yet the mechanisms underlying neuronal activity-dependent AMPAR exocytosis at the plasma membrane (PM) remain unclear. We previously demonstrated that the PM synthesis of the phosphoinositide PI4P is enhanced upon LTP induction and that PM PI4P, not PI(4,5)P2, is required for activity-induced AMPAR exocytic trafficking. Here, we show that AMPARs are exocytosed at PI4P-enriched dendritic PM microdomains in potentiated hippocampal neurons. The Q-SNARE SNAP47 binds PI4P via its pleckstrin homology (PH)-like domain. This interaction recruits SNAP47 to the PM, promoting the exocytic fusion of AMPAR vesicles through the SNAP47-Syntaxin-3-VAMP2 SNARE complex. In the hippocampus, the SNAP47-PI4P interaction is necessary for both LTP and long-term memory. Our findings reveal a mechanistic role for PI4P in mediating activity-dependent, SNARE-driven fusion of AMPAR exocytic vesicles with the PM.

neuroscience↗

bioRxiv2026

Maximizing the productivity of co-transcriptional in vitro transcription

mRNA therapeutics have demonstrated transformative potential in infectious disease, oncology and genetic disorders. Parallel to the rapid clinical advancement of mRNA therapies, research into in vitro transcription (IVT), the pivotal process of mRNA manufacturing, has intensified significantly. However, the majority of these studies omitted cap analog, an essential substrate for co-transcriptional capped IVT (co-IVT), likely to simplify experimental systems. Nevertheless, co-IVT remains the dominant industrial standard for the production of mRNA therapeutics. Here, we report an optimized co-IVT process that achieves a yield of more than 26 g/L while maintaining capping efficiency of over 99.5%, and achieving a 30-fold reduction in double-stranded RNA (dsRNA), the most critical process-related impurity. These performance gains substantially improve mRNA production efficiency and enhance mRNA quality, thereby accelerating the transition to commercial-scale manufacturing of mRNA therapeutics. Moreover, the performance was attained using either of two mechanistically distinct engineered T7 RNA polymerase (RNAP) mutants. Both mutants enabled robust mRNA synthesis under process conditions that have not been previously reported. These observations provide mechanistic insights into IVT and advance our fundamental understanding of this critical bio-manufacturing step.

bioengineering↗

bioRxiv2026

Shared but temporally distinct neural representations support semantic matching across word and picture formats: evidence from EEG decoding and temporal generalization analyses

Audiovisual semantic matching can be achieved using either written words or pictures, yet whether these formats engage shared semantic matching representations with similar temporal dynamics remains unclear. We recorded electroencephalography from 27 participants while they performed audiovisual semantic matching tasks in which spoken words were paired with either written words or pictures. Stimuli included both natural and man-made objects. Time-resolved multivariate pattern analyses (MVPA or decoding), cross-decoding, and temporal generalization analyses were used to characterize the temporal dynamics of semantic processing. Reliable decoding of matching versus mismatching judgments emerged in both word and picture conditions. Decoding onset that significant above chance level occurred earlier for written words than for pictures and cross-decoding analyses revealed successful generalization between word and picture formats. Temporal generalization analyses further demonstrated distinct representational dynamics across formats, with word processing characterized by predominantly time-specific neural representations and picture processing showing more sustained and temporally stable representations. In addition, matching-related discrimination emerged earlier for natural objects than for man-made objects across both formats. The results suggest that speech-word matching shows earlier neural evidence of audiovisual alignment than speech-picture matching, potentially reflecting differences in how auditory linguistic input is integrated with visual information across representational formats.

neuroscience↗

bioRxiv2026

In Vivo Quantification of Histone Acetylation Turnover and Acetyl-CoA Sources Using 2H2O Metabolic Labeling and High-Resolution Mass Spectrometry.

Dysregulated histone acetylation links cellular metabolism to gene expression, but measuring its in vivo turnover remains technically challenging. Here, we introduce a 2H2O-based metabolic labeling method coupled with high-resolution Orbitrap mass spectrometry to quantify in vivo histone acetylation dynamics. The approach leverages differing deuterium incorporation rates between fast-labeling acetyl groups and slow-labeling peptide backbones. A two-tier analytical workflow uses full-scan mass spectrometry for mono-acetylated peptides, combined with parallel reaction monitoring (PRM) to resolve site-specific turnover and stoichiometry. Furthermore, monitoring acetyl-group plateau 2H enrichment enables the evaluation of specific substrate contributions to the acetyl-CoA pool supporting histone acetylation. To demonstrate biological utility, we applied this approach to mice maintained on a high-carbohydrate diet or subjected to 48-h fasting to assess nutrient-dependent histone acetylation dynamics. Acetyl-group labeling reflected the metabolic origin of acetyl-CoA, showing greater 2H enrichment in the fed state and reduced enrichment during fasting due to increased utilization of unlabeled fatty acid-derived acetyl-CoA. Fasting accelerated acetylation turnover across multiple histone sites and reduced overall acetylation stoichiometry. Quantitative tracing revealed that fatty acid oxidation becomes an important contributor to histone acetylation during fasting, whereas glucose remains the predominant source of nucleo-cytosolic acetyl-CoA (supplying > 60% of acetylation used carbon). This approach enables simultaneous in vivo assessment of histone acetylation turnover, site occupancy, and acetyl-CoA substrate utilization, offering a robust platform to investigate metabolic-epigenetic crosstalk in health and disease.

biochemistry↗

bioRxiv2026

Ventricular Expansion Couples Hyperosmotic Stress to Thirst

Thirst is thought to arise from osmotic signals detected by circumventricular organs, yet how hyperosmotic stress activates mechanosensitive channels remains unclear because cell shrinkage should reduce membrane tension. Here we identify a brain-scale mechanical signal that couples systemic osmotic stress to drinking. In mice, hypertonic saline rapidly increased serum and cerebrospinal fluid osmolality, expanded the lateral ventricles, and promoted water intake. Relieving or blocking ventricular deformation attenuated drinking without eliminating osmotic gradients. Hyperosmotic challenge also produced localized deformation of periventricular cells, where spatial transcriptomics revealed candidate mechanosensitive channels, including Tmem63b and Piezo1. Thus, ventricular expansion provides a mechanical component of osmotic thirst, uncovering an osmo-mechanical layer of interoceptive regulation.

neuroscience↗

bioRxiv2026

SRPK3 regulates back-splicing of pre-MYOCD through Phosphorylating SRSF10 to modulate cardiac hypertrophy

Cardiac hypertrophy represents a hallmark of pathological remodeling in heart failure, involving complex molecular networks that remain incompletely defined. While post-transcriptional regulation is increasingly recognized as a key control layer, the role of splicing kinases in this process requires further elucidation. This study identifies serine/arginine-rich protein kinase 3 (SRPK3) as a central regulator of myocardial hypertrophy through its control of circular RNA (circRNA) biogenesis. We observed marked SRPK3 upregulation in phenylephrine/angiotensin II-treated cardiomyocytes, transverse aortic constriction (TAC) rats, and human heart failure datasets. Gain- and loss-of-function studies demonstrated that SRPK3 overexpression exacerbates hypertrophic phenotypes, including increased cell surface area and upregulation of markers (ANP, BNP, Myh7). Conversely, siRNA knockdown or pharmacological inhibition with the pan-SRPK inhibitor MSC-1186 effectively attenuated these pathological features. Mechanistically, SRPK3 interacts with and phosphorylates the splicing factor SRSF10 at specific serine residues (S129, S131, and S133). This phosphorylation event inhibits the back-splicing of pre-MYOCD, resulting in reduced cardioprotective circ-MYOCD levels and a concomitant increase in linear MYOCD expression. The depletion of circ-MYOCD relieves its competitive inhibition on linear splicing, driving the transcriptional activation of pro-hypertrophic signaling pathways. Crucially, restoring circ-MYOCD expression reversed SRPK3-driven pathology, confirming its protective role. These findings establish the SRPK3-SRSF10-circ-MYOCD axis as a critical regulatory circuit in cardiac remodeling. By bridging kinase activity with splicing dynamics, this study highlights RNA processing as a vital therapeutic target. Targeting this axis via SRPK3 inhibition or circ-MYOCD delivery represents a promising dual-modality strategy for treating heart failure.

Molecular Biology↗

bioRxiv2026

A conserved oscillatory system that positions the divisome in Archaea

Precise placement of the cell division machinery is essential for cell division in most organisms, yet the mechanisms responsible for this process vary substantially across the domains of life. In Eukaryotes, cell division is primarily driven by ESCRT-based systems, while many Bacteria rely on the Min system to ensure accurate positioning of the division septum. By contrast, the mechanisms by which Archaea spatially regulate divisome assembly remain largely unknown. Here, we identify a three-protein system, which we term divisome positioning proteins A, B and C (DipA, DipB and DipC) that is essential for correct divisome positioning in Haloferax volcanii. Deletion of any dip gene results in mislocalization of cell division proteins and the formation of abundant minicells, similar to Min defects in bacteria. Furthermore, we show that all three Dip proteins undergo pole-to-pole oscillation, and that DipB and DipC assemble into ring-like structures at midcell. Biochemical analyses demonstrate that DipA is a membrane binding GTPase whose association with the membrane is disrupted by DipB. Notably, Dip homologues are widely conserved across diverse archaeal lineages that employ FtsZ-based division, indicating that the Dip system is a broadly distributed key regulator of FtsZ-based cell division in Archaea. Despite its striking functional similarities to the bacterial Min system, the Dip system is entirely unrelated at the sequence level, representing a compelling example of convergent evolution of oscillatory spatial regulators in distinct domains of life.

microbiology↗

bioRxiv2026

Acquired resistance to the PRMT5 inhibitor confers collateral sensitivity to MEK inhibition in MTAP-null non-small cell lung cancer

Protein arginine methyltransferase 5 (PRMT5) is a synthetic lethal target in methylthioadenosine phosphorylase-deleted (MTAP-null) cancers. Second-generation MTA-cooperative PRMT5 inhibitors preferentially target MTAP-null cells while largely sparing MTAP-wildtype (MTAP-WT) cells, thereby improving tumor selectivity over first-generation PRMT5 inhibitors. Despite encouraging efficacy and safety signals in early clinical studies, the modest objective response rates (ORRs) observed with these inhibitors suggest that intrinsic or acquired resistance may limit their clinical benefit. Here, we investigated mechanisms of acquired resistance to the MTA-cooperative PRMT5 inhibitor BMS-986504/MRTX1719 in MTAP-null non-small cell lung cancer (NSCLC) cells and sought to identify therapeutic vulnerabilities that emerge upon resistance. Using multiple in vitro-derived resistant models, we found that acquired resistance was not fully explained by alterations in PRMT5 activity or reduced MTA levels. Instead, resistance was associated with collateral sensitivity to MEK inhibition and enrichment of MAPK-related transcriptional programs. Together, these findings identify MEK inhibition as an actionable collateral vulnerability in MTAP-null NSCLC cells that acquire resistance to PRMT5 inhibition.

cancer biology↗

bioRxiv2026

Evaluation of Neuronal Activation Thresholds for Low-Frequency Electromagnetic Exposure Using Morphologically Realistic Neuron Models

International guidelines for low-frequency electromagnetic field exposure (LF EMF) are primarily intended to prevent substantiated adverse effects. In the frameworks, limits on internal electric fields are linked to external exposure levels through computational dosimetry. However, the relationship between internal electric fields and these adverse effects remains incompletely understood. In particular, current approaches often overlook the morphological complexity and diversity of cortical neurons, which may limit the realism of neuronal activation estimates used to support these assessments. This study evaluates LF EMF-induced neural activation using 25 morphologically realistic neuron models spanning all cortical layers, embedded within 11 detailed human head models. The internal electric fields were simulated for uniform magnetic field exposures (100 Hz-100 kHz) along the three anatomical directions, and excitation thresholds were computed using a multi-scale framework combining voxel-based dosimetry with biophysical neuron simulations. A real-world exposure scenario involving a child near an acousto-magnetic article-surveillance deactivator was also analyzed. Thresholds varied across cell type, morphology, cortical location, subject anatomy, frequency, and exposure direction, with L2/3 pyramidal, L4 basket, and L5 thick-tufted pyramidal cells showing the lowest thresholds. Despite this variability, all simulated thresholds were conservative with respect to the basic restrictions and dosimetric reference limits set by IEEE ICES and ICNIRP. The smallest margin occurred at 100 kHz, where the threshold remained a factor of 2.8 above the corresponding limit. These findings indicate that current LF EMF exposure limits remain conservative when evaluated using highly detailed, morphology-based CNS activation models.

neuroscience↗

bioRxiv2026

Loss of Propionyl-CoA Carboxylase Reprograms Hepatic Metabolism by Suppressing Mitochondrial Pyruvate Carboxylation and Fatty Acid Oxidation

Propionic acidemia (PA) is an inborn error of metabolism caused by propionyl-CoA carboxylase (PCC) deficiency due to mutations in either PCCA or PCCB. Without proper management, the disease is associated with high mortality. Even with dietary restriction, patients often develop complications later in life, and the underlying pathological mechanisms remain poorly understood. The liver is the primary organ responsible for propionyl-CoA metabolism, yet the metabolic alterations induced by PCC deficiency in the liver have not been systematically investigated. In this study, we used a hepatocyte model of PA-- PCCAnull-HepG2 cells--to comprehensively examine metabolic alterations using stable isotope-based metabolic flux analysis. The PCCA knockout recapitulated key metabolic features of PA in HepG2 cells. Furthermore, PCCA deficiency reduced mitochondrial fatty acid oxidation while increasing glucose oxidation through pyruvate dehydrogenase. In contrast, pyruvate anaplerosis via pyruvate carboxylase was markedly reduced in PCCA knockout cells. This reduction in anaplerotic flux impaired the capacity for gluconeogenesis and lipid synthesis, consistent with observations from in vivo studies in Pcca-/- (A138T) mice. Additionally, branched-chain keto acid catabolism was reduced in PCCA knockout HepG2 cells. Threonine showed minimal metabolic contribution in this model, further supporting the role of propionate as a major source of propionyl-CoA production. Collectively, these findings highlight the metabolic vulnerabilities associated with PCC deficiency and underscore the increased risk of prolonged fasting in patients with PA, particularly those with severe disease.

genetics↗

bioRxiv2026

Complete genome-derived metabolic interactions reveal impact of gut ecology on human health

Metabolic interactions govern gut microbiome assembly, yet functional rules remain obscured by genomic incompleteness and fragmentation. Here, we leverage 1,150 complete genomes to construct genome-scale metabolic models, demonstrating that draft genomes introduce systemic artifacts missing critical transport functions. We observe that metabolic interactions are intrinsically driven by genomic traits and niche specialization rather than random association. We stratifies strains into four ecological groups, including active players, resource predators, utilizers, and contributors, each of which exhibits distinct metabolite exchange/competition signatures. This functional architecture is strongly coupled to secondary metabolism. Applying this framework to inflammatory bowel disease revealed distinct temporal dynamics of ecological groups across disease subtypes, where group-specific dysbiosis predicted clinical phenotypes better than whole community profiles. Furthermore, integrating metabolic and co-occurrence networks to identify keystone for classifiers as features significantly improved disease diagnosis. Our study provides novel insights into gut metabolic interaction landscape, bridging the gap between genomic potential and clinical utility for precision microbiome therapeutics.

microbiology↗