Biology subjects

Chen, Q.

Publications and source records attributed to Chen, Q..

At least 127 records · Page 7Linked to original sources

bioRxiv2025

High-resolution quantification of metabolic heat output from individual live Drosophila brains

Quantitative insights into brain metabolism are essential for advancing our understanding of energy dynamics in the brain. However, current approaches for tracking brain metabolism, metabolic profiling and respirometry, provide only static snapshots of metabolite levels or lack the required resolution. Here, we develop a novel nanowatt-resolution biocalorimeter capable of real-time continuous measurements of heat output to quantitatively measure the metabolism of individual live Drosophila melanogaster brains and investigate how sex, genotype, age, and disease affect brain metabolism. We show for the first time that female brains, across multiple wild-type genotypes, exhibit a significantly higher metabolic rate ([~]10%) than male brains at a young age (<10 days old) and follow distinct metabolic trajectories across the lifespan. We also find that parkin mutants, a genetic model for Parkinsons disease, exhibit a [~]15% reduction in brain metabolic output relative to controls, revealing that defective mitophagy due to parkin deficiency affects brain metabolism. Furthermore, we measure the metabolic rate of reproductive tissues of Drosophila, highlighting the broad applicability of our biocalorimeter. Together, these advances open new avenues for investigating how tissue-specific metabolism is impacted by aging, neurodegeneration, and disease states. TeaserDirect measurement of metabolic rate of individual Drosophila brains to investigate how sex, genotype, age, and disease affect brain metabolism.

bioengineering↗

bioRxiv2025

UCP1 Mitigates Hepatic Steatosis and Fibrosis Independent of Cold Exposure

Non-shivering thermogenesis by brown adipose tissue (BAT) is a promising target for anti-obesity therapies, making its regulatory mechanisms of significant translational interest. While cold-induced BAT thermogenesis (CIT) is well characterized, certain high-calorie diets can also activate BAT in the absence of cold, a process known as diet-induced thermogenesis (DIT). Despite its potential relevance to modern human diets and lifestyles, the mechanisms and physiological relevance underlying DIT remain poorly understood. Here, we show that DIT reduces adiposity and protects against hepatic steatosis and fibrosis in males but not female mice. Moreover, adipose tissue-specific ablation of uncoupling protein 1 (UCP1) reveals that BAT is the primary mediator of DIT but that non-adipocyte UCP1 also contributes to body weight regulation. Transcriptome analysis suggests that DIT is triggered by intrinsic metabolic stress, distinguishing it from CIT, which is driven by sympathetic tone. Finally, BAT-specific arteriovenous metabolomics identifies glucose as the predominant circulating fuel for DIT. These findings uncover distinct molecular and metabolic features of DIT, highlighting opportunities to harness BAT activity for treating obesity and metabolic diseases without requiring cold exposure.

physiology↗

bioRxiv2025

Rag GTPases Suppress Renal Cystic Disease by Inhibiting TFEB Independently of mTORC1

Aberrant mTORC1 activation in renal tubular epithelial cells (rTECs) is implicated as a critical driver of renal cystic diseases (RCDs), including autosomal dominant polycystic kidney disease (ADPKD) and tuberous sclerosis (TSC), yet its precise role remains unclear. Rag GTPases recruit mTORC1 to lysosomes, its intracellular activation site. Unexpectedly, we found that deleting RagA/B in rTECs, despite inhibiting mTORC1, triggers renal cystogenesis and kidney failure. We identify TFEB as the key driver of cystogenesis downstream of RagA/B loss and show that Rag GTPases, rather than mTORC1, are the primary suppressors of TFEB in vivo. We further highlight increased nuclear TFEB as a shared feature of several RCD models, whereas differences in mTORC1 activity may explain the variable efficacy of mTORC1 inhibitors. Finally, we provide evidence that nuclear TFEB, rather than mTORC1 activation, is a more consistent biomarker of cyst-lining epithelial cells in ADPKD. Overall, these findings challenge the prevailing view that mTORC1 hyperactivation is required for renal cystogenesis, which has important translational implications. TeaserA serendipitous finding uncovers the Rag GTPases as strong suppressors of renal cystogenesis with important disease implications.

cell biology↗

bioRxiv2025

NAD⁺ Replenishment Mitigates Cardiomyocyte Senescence and Corrects Heart Failure with Preserved Ejection Fraction in Aged Mice

Cardiomyocyte senescence, characterized by elevated cell cycle inhibitor expression, persistent DNA damage response, and mitochondrial dysfunction, contributes to myocardial stiffness and the progression of heart failure with preserved ejection fraction (HFpEF), the most common form of heart failure affecting individuals over 65. In this study, we investigated the role of NAD metabolism in cardiomyocyte senescence and cardiac function. Aged mice exhibited reduced cardiac NAD levels, impaired NAD biosynthesis and mobilization, and increased consumption, leading to suppressed SIRT1/6 activity and accumulation of senescent cardiomyocytes. This was accompanied by diastolic dysfunction consistent with HFpEF. In senescent AC16 cardiomyocytes, NAD depletion promoted senescence, which was reversed by the NAD precursors nicotinamide riboside (NR) and dihydronicotinamide riboside (NRH). In aged mice, two months of NR or NRH treatment improved diastolic function and reduced cardiomyocyte senescence. While NR primarily activated SIRT1 to suppress cell cycle arrest markers, NRH more robustly activated both SIRT1 and SIRT6, enhancing DNA damage repair. Acetylated H2AX, a SIRT6 substrate elevated in aged hearts and senescent cells, was selectively deacetylated by NRH. These findings identify NAD availability as a critical regulator of cardiac senescence and support NAD precursors, particularly NRH, as promising senescence-reducing therapies for treating aging-associated HFpEF.

pharmacology and toxicology↗

bioRxiv2025

The Fengshu Large Model for Wugu Fengdeng: An Innovation Engine for Knowledge Integration in the Soybean Field

Against the backdrop of global population growth and the continuous escalation of food demand, the acceleration of agricultural modernization has emerged as the core pathway to safeguard food security. As the worlds fourth-largest food crop, soybean (Glycine max) possesses multiple strategic values for food security, livestock feed, and industrial raw materials, thanks to its high protein content (accounting for over 40% of the dry weight of seeds) and oil resource attributes. However, the soybean industry is confronted with multiple challenges: the long cycle of genetic breeding (8-10 years required by traditional methods), annual losses from diseases and pests reaching 40% (data from FAO 2023), and the reliance on empirical decision-making in field management, all of which urgently call for intelligent solutions.At present, agricultural knowledge is experiencing explosive growth - more than 4,000 new soybean-related literatures are added annually in PubMed, and agricultural technology Q&A platforms (Zhihu, Baidu Tieba, etc.) generate over 3,000 daily questions. However, this multi-source heterogeneous knowledge is scattered in books, literatures, Q&A communities, and gene databases, lacking systematic integration, resulting in a knowledge utilization rate of less than 30%. In response to this, this paper proposes the "Fengshu-Agri" large model, an agricultural knowledge integration and innovation engine based on the collaboration of Retrieval-Augmented Generation (RAG) and Knowledge Graph (KG). The model achieves breakthroughs through the following core technological innovations: O_LIDeep integration of multi-source heterogeneous data: For the first time, a systematic integration of 256 agricultural monographs (covering standardized knowledge such as planting techniques and pest control), 66,772 cutting-edge research literatures (genomics, agronomic trait analysis, etc.), 880,000 production practice Q&A (covering scenarios such as pest diagnosis and environmental stress response), and 120,000 gene annotation data (functional genes, expression regulation mechanisms) has been carried out to construct the largest knowledge graph in the agricultural field - containing 2 million entity nodes, realizing full-chain knowledge modeling from molecular-level gene regulation to field management. C_LIO_LIDouble-layer collaborative retrieval mechanism: Innovatively integrating RAG semantic vector retrieval with KG structured reasoning to solve problems such as low recall rate (<65%) and semantic ambiguity in traditional systems. Specifically, it achieves dual matching through local keywords (entity-level) and global keywords (relationship-level); C_LIO_LIOptimization of domain-specific generation engine: Based on the QWEN-QWQ32B large language model, a three-stage fine-tuning is carried out (pre-training, agricultural instruction fine-tuning, and reinforcement learning from human feedback) [15], which improves the professionalism of generated texts by 35% (manual evaluation index) and significantly reduces the LLM hallucination problem [12]. Experimental results show that Fengshu-Agri achieves an accuracy rate of 89.6% in soybean knowledge retrieval tasks (a 25.4% improvement over traditional RAG models), a recall rate of 87.3% (20.5% higher than pure KG reasoning models), and an F1 score of 88.4%. It can efficiently answer complex questions involving multi-entity associations (such as "the impact mechanism of CRISPR-editing the GmSWEET gene on lepidopteran pest resistance"). Analysis of typical cases indicates that the models responses not only cover technical principles (sgRNA design, Agrobacterium transformation procedures) but also integrate metabolomics data (70% improvement in insect resistance with no significant yield reduction), demonstrating cross-modal knowledge fusion capabilities. In the future, this model will be expanded to crops such as maize and potato to construct an agricultural intelligent ecosystem covering the entire process of cultivation management and breeding improvement, promoting the upgrading of precision agriculture toward a data-driven model. C_LI

plant biology↗

bioRxiv2025

MetaNet: a scalable and integrated tool for reproducible omics network analysis

Network analysis is a powerful strategy for uncovering complex relationships in high-throughput omics datasets. However, current tools often lack scalability, flexibility, and native support for multi-omics integration, posing significant barriers for exploring complex biological networks. To address these limitations, we developed MetaNet, a high-performance R package designed to construct, visualize, and analyze biological networks from multi-omics datasets. MetaNet supports highly efficient correlation-based network construction, scalable to datasets with over 10,000 features, and includes extensive layout algorithms and visualization options compatible with both static and interactive platforms. It also provides a comprehensive suite of topological and stability metrics for in-depth network characterization. Benchmarking results show that MetaNet outperforms existing R packages by up to 100-fold in computation time and reduces memory usage by up to 50-fold. We demonstrate its utility through two case studies: (1) a longitudinal analysis of microbial co-occurrence networks showing the dynamics of the airborne microbiome, and (2) an integrative exposome-transcriptome network of more than 40,000 features, uncovering distinct regulatory impacts of biological and chemical exposures. MetaNet bridges the gap between network theory and omics application by offering a robust, reproducible, and biologically informed framework for large-scale, interpretable, and integrative network analyses across diverse omics platforms, advancing systems-level understanding in modern life sciences. MetaNet is available on the Comprehensive R Archive Network (https://cran.r-project.org/web/packages/MetaNet).

bioinformatics↗

bioRxiv2025

Medial Frontal Theta Reduction Impairs Rule Switching via Prediction Error

Cognitive flexibility, the ability to switch behavior in response to changing rules in an uncertain environment, is crucial for adaptive decision making. Prior research has hypothesized a key role of prediction error and theta oscillations in medial frontal cortex in this process. However, the causal link between such processes remains to be established. To address this, we combined neural stimulation, EEG, behavioral measurement, and computational modelling. Specifically, we applied high-definition transcranial direct current stimulation (HD-tDCS) to modulate theta oscillations as measured via EEG followed by a probabilistic reversal learning task. We find that anodal stimulation reduces theta power and rule prediction error, and it increases the number of trials needed to reliably switch between rules. These findings support the role of rule prediction error signaling as a key mechanism linking neural oscillations to behavioral adaptation and highlight the importance of theta power and rule prediction error for cognitive flexibility. Significance statementCognitive flexibility--the ability to adjust behavior when rules change--is critical for adaptive behavior in uncertain environments. Although prediction error signaling and theta oscillations in medial frontal cortex have been proposed as key mechanisms, their causal relationship remains unclear. Here, we combine high-definition transcranial direct current stimulation (HD-tDCS), EEG, behavioral assessment, and computational modeling to establish a mechanistic link. We show that anodal stimulation reduces frontal theta power and rule-level prediction errors, leading to less efficient rule switching. These findings provide causal evidence that supports behavioral flexibility, advancing our understanding of the neural computations underlying adaptive decision making.

neuroscience↗

bioRxiv2025

TaPGS1 Driven Flavonol Accumulation Delays Endosperm Cellularization and Enlarges Wheat Grains

Flavonols play a crucial role in seed development by regulating multiple physiological processes, including seed coat pigmentation, dormancy, fertilization, and endosperm formation. Notably, flavonols influence the polar transport of auxin, thereby affecting seed growth dynamics. In our previous work, we found that overexpression of the wheat bHLH transcription factor TaPGS1 results in increased grain size; however, the underlying mechanism remained unclear. In this study, metabolomic and transcriptomic analyses of TaPGS1 overexpressing wheat lines revealed enhanced flavonol accumulation and upregulation of key flavonol biosynthetic genes. Further investigations suggested that flavonol accumulation in the seed coat may disrupt auxin transport, leading to localized auxin buildup, delayed endosperm cellularization, and an increase in endosperm cell number. These changes collectively contribute to grain enlargement. Our findings uncover a TaPGS1 flavonol regulatory module that links auxin distribution to endosperm development and seed size control in wheat.

plant biology↗

bioRxiv2025

Spleen-derived Small Extracellular Vesicles Protect against Myocardial Infarction via Mediating Spleen-heart Crosstalk

Background and AimsAcute myocardial infarction (AMI) triggers systemic responses that influence cardiac injury and repair, but protective mediators within the cardiosplenic axis remain incompletely understood. This study aimed to investigate whether spleen-derived small extracellular vesicles (sEVs) exert cardioprotection after AMI, identify critical cargo, and evaluate their clinical relevance. MethodsThe effects of splenectomy, spleen-derived sEVs and pharmacological inhibition of sEVs biogenesis on cardiac injury were evaluated in mice with AMI. Parabiosis, donor splenectomy, and fluorescent labelling traced the origin and myocardial recruitment of circulating sEVs. 4D-proteomics profiled sEVs cargo with a focus on pyruvate carrier-1 (MPC1). ResultsSplenectomy worsened survival, ventricular function, infarct size, and fibrosis in mice with AMI. AMI upregulated splenic extracellular-vesicle pathways, with sEVs release peaking at day 3 (M3D-sEVs). Labelled splenic sEVs preferentially accumulated in ischemic myocardium, confirmed by parabiosis experiments. M3D-sEVs improved survival and cardiac function and reduced infarct size, fibrosis, apoptosis, inflammation, and hypertrophy. In addition, anti-apoptotic effects were reproduced in vitro. Inhibition of sEVs biogenesis decreased circulating sEVs, aggravated injury, and was rescued by M3D-sEVs. M3D-sEVs were enriched in MPC1, and MPC1 neutralization or pharmacological blockade abrogated sEVs-mediated restoration of respiration, ATP generation, and reduction of reactive oxygen species. Plasma sEVs-associated MPC1 was highest in patients with AMI, intermediate in coronary heart disease, and lowest in controls. ConclusionsThe spleen responds adaptively to AMI by releasing MPC1lenriched sEVs that travel to injured myocardium, preserve mitochondrial energetics, and reduce damage, supporting cargolspecific sEVs augmentation and sEVslMPC1 as a potential therapeutic target and biomarker in ischemic heart disease. Structured graphical abstractAcute myocardial infarction activates a spleen-heart axis in which the spleen releases mitochondrial pyruvate carrier 1 (MPC1) enriched small extracellular vesicles that home to the infarcted myocardium, preserve mitochondrial oxidative phosphorylation, reduce ROS, and limit infarct size, apoptosis, fibrosis, and hypertrophy. Circulating sEVs-associated MPC1 might serve as a potential biomarker for estimating risk of ischemic heart disease. Translational perspectiveO_LIOur findings reveal a novel heart-spleen communication axis mediated by splenic small extracellular vesicles (sEVs) following AMI. These vesicular messengers predominantly deliver mitochondrial pyruvate carrier 1 (MPC1), enhancing cardiac mitochondrial energy metabolism in the injured myocardium, ultimately improving post-AMI functional recovery in experimental models. C_LIO_LIA higher plasma sEVs-associated MPC1 level was observed in AMI patients when compared with non-AMI patients. These findings support the clinical relevance of the spleen-heart axis, introduce sEVs-associated MPC1 as a potential circulating biomarker for early myocardial injury and therapeutic target. C_LI

molecular biology↗

bioRxiv2025

Modeling Adeno-Associated Viral Vector 6-mediated In Vivo Gene Delivery to Expanded Non-Mobilized Haemopoietic Stem Cells from Transfusion dependent Thalassemia Patients in a Humanized Mouse

Hematopoietic stem cells (HSC) are important targets for gene modification therapies (GMT) as they originate several serious genetic conditions including the {beta}-haemoglobinopathies. Potentially curative ex vivo GMT pose the barriers of accessibility, myeloablation-associated morbidity and prohibitive cost. In vivo GMT using non-integrating single-strand adeno-associated viral vectors (ssAAV) are a promising alternative that address these challenges directly, although the small ssAAV payload limits the capacity to package much larger gene or base editors. We investigated the feasibility of targeting human HSC in vivo with a dual-ssAAV6 strategy, which in future may be useful to deliver split-intein editing tools to overcome this limitation. We engrafted NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ humice with human hCD45+CD34+ HSC from transfusion-dependent {beta}-thalassemic patients to test in vivo targeting of hCD45 cells with ssAAV6, then administered 5E+12 genomes/kg of ssAAV6-GFP/ssAAV6-mCherry. Humice showed peak single-transgene expression (GFP+ or mCh+) of 1.96-10.17%, and dual-transgene expression (GFP+mCh+) of 31.77% in circulating hCD45+ cells. Nested hCD45+ from liver, spleen and bone marrow showed single-and dual-transgene expression of 36.13-68.14% and 21.91-59.44% respectively. Secondary transplantation experiments demonstrated long-term persistence of AAV6-transduced hCD45 cells showing single-and dual-transgene expression of 9.19-60.72% and 7.15-9.19% respectively, with significant increase in expression from circulating cells. Minimal pro-inflammatory cytokine expression was observed following ssAAV6 administration in thalassemia humice compared with humice carrying non-thalassemia HSC. Our model demonstrates the efficiency of in vivo ssAAV6-mediated targeting of thalassaemia HSC, potential long-term survivability of transduced cells, and feasibility of a dual-AAV strategy for gene editing, which offers a promising alternative to ex vivo GMT for {beta}-haemoglobinopathies.

molecular biology↗

bioRxiv2025

Ketone body driven lipid remodeling supports thermogenic adaptation to fasting

Metabolic adaptation to fasting may have conferred survival advantage to early humans and predicts weight gain caused by overnutrition in modern societies. Fasting suppresses brown adipose tissue (BAT) thermogenesis; however, it is unclear how BAT rewires cellular metabolism to balance between energy conservation and heat generation. Here, we report that BAT in mice under fasting and cold challenge consumed ketone bodies, specifically acetoacetate (AcAc). Ablating liver ketogenesis decreased, while enhancing hepatic AcAc output defended, body temperature in mice facing the dual challenge. Using stable isotope tracing in brown adipocytes in vitro combined with quantitative analysis of metabolic fluxes and lipidomics in BAT from genetic mouse models, we disentangled the two metabolic fates of AcAc - terminal oxidation in the mitochondria and lipid biosynthesis in the cytosol. Notably, AcAc-sourced carbon preferentially supported polyunsaturated fatty acid synthesis in BAT, linking to the positive impact of intermittent fasting on lipid profiles in both mice and humans. Therefore, ketone body utilization by thermogenic adipocytes contributes to metabolic resilience of mammals and can be targeted to optimize benefits of dietary regimens.

physiology↗

bioRxiv2025

Directional growth of developing myelin mediated by Wnt gradient and required for proper axon functions

Axon-wrapping myelin sheaths formed by oligodendrocytes are essential for proper functions of the central nervous system. Although much is known about oligodendrocyte development, how the myelin dynamically forms remains unclear. Here we show the preferentially unidirectional extension of developing myelin mediated by Wnt gradient and required for proper axon functions. Using larval zebrafish as an in vivo model, we found that developing myelin in the spinal cord preferentially extends to the anterior end, and this process is dependent on an anterior-to-posterior Wnt4b gradient. Taking advantage of the large size of Mauthner-cell axons, we further showed that disruption of this directional extension impairs the even length distribution of myelin sheaths and faithful transduction of action potentials along the axon, and reduces the reliability of escape behavior. Thus, our study reveals a novel process for precise regulation of myelination, providing a new insight into myelin structuring and functioning.

neuroscience↗

bioRxiv2025

Pancreatic cancer cachexia is mediated by PTHrP-driven disruption of adipose de novo lipogenesis

Pancreatic cancer patients have the highest rates and most severe forms of cancer cachexia, yet cachexia etiologies remain largely elusive, leading to a lack of effective intervening therapies. Parathyroid hormone-related protein (PTHrP) has been clinically implicated as a putative regulator of cachexia, with serum PTHrP levels correlating with increased weight loss in PDAC patients. Here we show that cachectic PDAC patients have high expression of tumor PTHrP and use a genetically engineered mouse model to functionally demonstrate that loss of PTHrP blocks cachectic wasting, dramatically extending overall survival. The re-expression of PTHrP in lowly cachectic models is sufficient to induce wasting and reduce survival in mice, which is reversed by the conditional deletion of the PTHrP receptor, Pth1r, in adipocytes. Mechanistically, tumor-derived PTHrP suppresses de novo lipogenesis in adipocytes, leading to a molecular rewiring of adipose depots to promote wasting in the cachectic state. Finally, the pharmacological disruption of the PTHrP-PTH1R signaling axis abrogates wasting, highlighting that a targeted disruption of tumor-adipose crosstalk is an effective means to limit cachexia. STATEMENT OF SIGNIFICANCEPancreatic ductal adenocarcinoma (PDAC) is the prototypical cancer type associated with cancer cachexia, a debilitating wasting syndrome marked by adipose tissue loss and muscle atrophy. Herein, we establish that PTHrP is a tumor-derived factor that facilitates cachexia by downregulating de novo lipogenesis in adipocytes and that blocking PTHrP is an effective means to limit wasting in preclinical mouse models.

cancer biology↗

bioRxiv2025

Curcumin targets a circumferential band at the cleavage furrow of dividing fission yeast cells

Curcumin is the active compound of one of the most widely used spices in the world. It has also been highly valued as a traditional health supplement in many South Asian countries for millennia. More recently, this plant extracted small molecule has attracted strong attention for its therapeutic potential. Nevertheless, the molecular and cellular targets of curcumin remain unknown. Here, we undertook a novel imaging-based approach to determine the intracellular distribution of curcumin using the model organism fission yeast Schizosaccharomyces pombe by taking advantage of the intrinsic fluorescence of curcumin. Live fluorescence microscopy revealed for the first time that curcumin, at a concentration of just one micromolar, formed a narrow circumferential ring around the equatorial plane of dividing cells within minutes after being added to the yeast culture. The intensity of this ring increased proportionally to the concentration of curcumin and gradually over time. The curcumin ring co-localized both spatially and temporally with septin ring and the exocyst complex at the equatorial plane during cytokinesis. Deletion of one of the septin genes spn4 reduced the frequency of curcumin ring by 74%. Micromolar concentrations of curcumin slowed down the contractile ring constriction by up to 49% in a dosage dependent manner. Besides fission yeast, curcumin similarly targets the division plane of two other yeasts, Saccharomyces cerevisiae and Candida albicans. Thus, curcumin, originated from plants, targets the septin cytoskeleton to delay yeast cytokinesis, suggesting its potential as both an antifungal therapeutic option and a fluorescence probe for yeast septins.

cell biology↗

bioRxiv2025

Maternal Vitamin C Deficiency and Genetic Risk Factors Contribute to Congenital Defects through Dysregulation of DNA Methylation.

AbstractMaternal dietary insufficiencies can reshape the fetal epigenome during gestation, contributing to birth defects and developmental disorders. Vitamin C (VitC) is a critical co-factor for Ten-Eleven- Translocation (TET) DNA demethylases, but the impact of its deficiency on embryonic development has gone largely unappreciated. Here, we show that maternal VitC deficiency in L-gulonolactone oxidase (Gulo)-deficient mice, which like humans are unable to synthesize VitC, can cause highly penetrant developmental delays and malformations in non-inbred embryos during the vulnerable period of gastrulation. DNA hypermethylation in Gulo-/- embryonic neural tissues of susceptible strains increases with VitC dose reduction and with the severity of embryonic pathologies, coinciding with hallmarks of TET1 dysfunction. A moderate reduction in VitC status is sufficient to induce DNA hypermethylation and cause neural tube defects. Our results suggest that promoting timely VitC supplementation by at-risk pregnant mothers may prevent a range of birth defects and enhance health outcomes of future generations.

developmental biology↗

bioRxiv2025

How Good is AlphaFold3 at Ranking Drug Binding Affinities?

Accurate affinity ranking of small molecules is pivotal for drug discovery. We investigate whether structure prediction models like AlphaFold3, pretrained on protein-ligand interactions, can address this task. Zero-shot evaluation of Protenix (an AlphaFold3-like model) demonstrates superior prioritization of active compounds over conventional scoring functions and state-of-the-art deep learning models. By further fine-tuning Protenix on structure-agnostic protein-ligand bioactivity data from ChEMBL and BindingDB, we develop AlphaRank that predicts pairwise affinity relationships. AlphaRank achieves prediction accuracy comparable to computationally intensive free energy perturbation (FEP+) workflows on standard benchmarks, while requiring substantially less computational resources. Our findings highlight the emergent potential of AlphaFold3-derived models in affinity ranking tasks and emphasize the necessity for targeted methodological exploration to fully harness their capabilities in drug discovery applications.

bioinformatics↗

bioRxiv2025

Rescuing Ischemic Brain Injury by Rewiring Mitochondrial Electron Flow

Mitochondrial metabolic flux alterations are critical drivers of acute ischemia-reperfusion (IR) brain injury. Reverse electron transfer (RET), defined as the upstream flow of electrons from the quinone pool to complex I, is a major source of pathological reactive oxygen species (ROS) under stress conditions. In an in vivo brain IR model, oxygen deprivation induces the buildup of RET-supporting substrates, with glycerol 3-phosphate identified as the dominant contributor in addition to succinate. Rapid oxidation of these substrates by brain mitochondria upon reoxygenation drives massive ROS production, while also leading to over-reduction and dissociation of the complex I flavin mononucleotide (FMN) cofactor. The resulting FMN-deficient complex I becomes catalytically impaired, unable to oxidize NADH or to produce ROS. To mitigate RET and preserve complex I function, we used transgenic mice xenotopically expressing alternative oxidase (AOX). This enzyme bypasses complexes III and IV by directly oxidizing the reduced quinone pool and passing electrons onto molecular oxygen. AOX expression did not alter complex I abundance, supercomplexes assembly, or basal respiration rates, but effectively diverted electrons from the quinone pool, decreasing RET flux via complex I and limiting ROS generation during IR. For the first time we showed that AOX expression and attenuation of RET preserved complex I FMN binding, suppressed oxidative stress, and conferred neuroprotection in vivo. Our findings reveal a novel strategy for rewiring mitochondrial electron flux to mitigate initial IR brain injury, highlighting modulation of the quinone pool by AOX as a potential therapeutic strategy for IR.

biochemistry↗

bioRxiv2025

The Role of Chloride Ions in Serotonin Transport

The human serotonin (5-HT+) transporter SERT facilitates 5-HT+ transport into cells by coupling it to Na+ symport and K+ antiport. Although extracellular Cl- is also essential for transport, Cl-co-transport has been disputed, raising questions about the role of Cl- ions and why they are required. We show that Cl- gradients do not impact 5-HT+ accumulation, indicating that Cl- does not provide a driving force for uptake and arguing against stoichiometric Cl- symport. The presence of Cl- had only a small effect on Na+-mediated cytoplasmic pathway closure but markedly reduced the accessibility of residues in the extracellular pathway, consistent with modulation of the outward-facing states. Simulations illustrate that Cl- interacts strongly with a bound Na+ ion and stabilizes helix packing on the extracellular side. We propose that Cl- acts as an essential architectural cofactor by enhancing Na+ affinity and interactions between helices, thereby facilitating transport-related conformational transitions. Significance statementThe serotonin transporter (SERT) clears serotonin from synapses and is the target of widely used antidepressants. Although chloride ions are known to be required for SERT function, whether chloride is transported together with serotonin has remained unresolved for decades. We show that chloride gradients do not drive serotonin uptake, arguing against chloride symport. Instead, chloride stabilizes specific conformations of the transporter by strengthening sodium binding and extracellular helix packing. These findings redefine chloride not as a transported substrate, but as an architectural cofactor that facilitates conformational transitions required for transport. This reinterpretation reshapes our understanding of ion dependence in SERT and suggests a broader principle: ion requirements in related transporters may reflect structural stabilization rather than obligatory symport.

biochemistry↗