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Lang, J.

Publications and source records attributed to Lang, J..

At least 19 recordsLinked to original sources

Biochemical characterisation of fungal bioluminescence enzymes reveals substrate inhibition and secondary turnover of 3-hydroxyhispidin by H3H

The fungal bioluminescence pathway enables autonomous light production from caffeic acid and has emerged as a versatile platform for bioimaging and synthetic biology. However, biochemical characterisation of its core enzymes remains limited. Here, we establish recombinant purification and quantitative in vitro characterisation of fungal luciferase (Luz) and hispidin-3-hydroxylase (H3H) homologues from Neonothopanus nambi and Mycena chlorophos. Complementary luminescence and mass spectrometry-based assays revealed pronounced substrate inhibition of H3H by hispidin, conserved across both homologues. Direct monitoring of substrate turnover further revealed an unexpected secondary H3H-catalysed conversion of 3-hydroxyhispidin that remained dependent on NADPH and FAD. NMR, isotope labelling and product characterisation support an additional oxidative transformation followed by formation of multiple downstream products, including caffeic acid, thereby reconnecting secondary turnover with an upstream intermediate of the pathway. H3H nevertheless retained a strong kinetic preference for hispidin over 3-hydroxyhispidin. Together, these findings reveal previously unrecognised catalytic complexity within the fungal bioluminescence pathway and provide a biochemical framework for understanding and engineering pathway flux.

biochemistry↗

Dissociable changes in temporal precision and causal expectations following perceptual training

A common behavioral gain does not necessarily reflect a common learning mechanism. Perceptual learning may sharpen sensory evidence without updating higher-level expectations about its causes. Across three experiments, we examined audiovisual binding and its plasticity in children with ADHD and typically developing children. Children with ADHD were more susceptible to the sound-induced flash illusion (Experiment 1) and showed markedly flatter temporal tuning of it (Experiment 2), yet conventional temporal binding window (TBW) estimates did not distinguish the groups, behavior alone could not localize the difference. Following six days of simultaneity-judgment training, both groups became comparably less susceptible to the illusion. A temporally explicit two-dimensional Bayesian causal inference model, however, revealed sharply different latent changes. Typically developing children reduced their causal prior expectation that auditory and visual signals shared a common cause. Children with ADHD showed no corresponding prior recalibration but instead exhibited a marked reduction in temporal uncertainty, indicating more precise perceptual evidence that did not propagate to the slower, more abstract estimate of environmental causal structure. Thus, perceptual learning converged at the behavioral level while diverging computationally. These findings argue against unitary accounts of multisensory plasticity and show how the same perceptual endpoint can conceal adaptation at different levels of the inferential hierarchy.

neuroscience↗

Enhanced Pathogenicity and Contact Transmissibility of Human-origin Avian Influenza H5N1 Clade 2.3.4.4b Genotype B3.13 Compared to D1.1 in Ferrets

Since its emergence in 2020, multiple genotypes of the H5N1 clade 2.3.4.4b have been identified, with B3.13 and D1.1 emerging in the USA as two major and concerning genotypes. However, their relative pathogenicity and transmissibility in mammals have not been fully elucidated. We compared the pathogenicity and transmissibility of the first two human H5N1 clade 2.3.4.4b cases caused by B3.13 in Texas (A/Texas/37/2024; HPhTX B3.13) and D1.1 in Louisiana (A/Louisiana/12/2024; HPhLA D1.1) in a ferret model of infection and transmission. HPhTX B3.13 infection resulted in more severe clinical disease and enhanced viral shedding, with evidence of increased transmission relative to HPhLA D1.1. Histopathological analysis revealed more extensive lung pathology in animals infected with HPhTX B3.13, consistent with increased viral loads and inflammatory responses. Importantly, both genotypes showed no significant differences in reactivity to ferret sera raised against candidate vaccine virus (CVV) strains, receptor binding properties, or neuraminidase (NA) activity and thermostability. Whole-genome sequencing revealed no adaptive mutations in HPhTX B3.13 following infection or transmission. In contrast, HPhLA D1.1 showed rapid acquisition of the mammalian-adaptive mutation E627K in infected ferrets and both E627K and Q194K in the only fatal contact animal. Both mutations were associated with enhanced polymerase activity and computational analyses suggested that they enhance interactions with the mammalian host factors ANP32A and B. Our findings indicate that B3.13 is already well adapted for mammalian infection and transmission whereas D1.1 retains evolutionary potential through the rapid acquisition of adaptive mutations, highlighting important genotype-specific differences relevant to zoonotic risk assessment and pandemic preparedness. SignificanceInfluenza H5N1 viruses continue to diversify genetically while expanding into mammalian hosts, increasing opportunities for viral adaptation and zoonotic transmission, including humans. However, whether the predominant clade 2.3.4.4b genotype differs in its capacity to infect, transmit, and evolve in mammals remains poorly understood. Using the ferret model of influenza infection and transmission, we demonstrated that the currently circulating B3.13 and D1.1 genotypes exhibit distinct pathogenic and transmission characteristics despite retaining similar receptor-binding characteristics, NA functions, and antigenic profiles. While B3.13 readily infects and transmits in ferrets and does not develop further adaptive mutations associated with increased replication and transmission, D1.1 rapidly acquires mammalian-adaptive mutations after a single infection and/or transmission event, highlighting its evolutionary potential. These findings show that genotype-specific biological properties can influence zoonotic risk independently of antigenic similarity and emphasize the importance of integrating phenotypic characterization with genomic surveillance to improve pandemic preparedness and guide public health risk assessment.

microbiology↗

Nephrotoxicity of Immune Checkpoint Inhibitors in Mice with a Human Immune System

IntroductionImmune checkpoint inhibitors (ICIs) enhance antitumor responses by blocking inhibitory receptors, including PD-1 and CTLA-4. Overactivation can trigger systemic toxicity akin to autoimmune diseases, including kidney manifestations. We sought to 1) profile immune signaling and 2) interrogate potential mechanisms of ICI-related kidney injury in a Human Immune System (HIS) tumor-bearing mouse model treated with nivolumab and ipilimumab. MethodsImmunodeficient BRGS (BALB/c-Rag2nullIl2r{gamma}nullSirpNOD) neonates were engrafted with human CD34+ cells to generate HIS-BRGS mice. Human MDA-MB-231 tumor cells were implanted subcutaneously; once tumors reached [~]150 mm3, mice received weekly intraperitoneal vehicle (PBS) or ICI (nivolumab 20 mg/kg + ipilimumab 10 mg/kg) for 4 weeks (Veh BRGS n=4; ICI BRGS n=6; Veh HIS-BRGS n=7; ICI HIS-BRGS n=7). Kidneys were evaluated by histopathology (H&E, TEM), flow cytometry for human immune phenotypes, multiplex ELISA (80 human proteins; 10 injury biomarkers), bulk RNA sequencing, and targeted qPCR. Pearson correlations identified predictors of histopathological injury. ResultsRenal vasculitis and interstitial nephritis were observed only in ICI-treated HIS-BRGS mice. These kidneys showed a shift toward CD4+ T-cell enrichment with an increased TNF- production capacity compared to CD8+ counterparts. Toxicity was accompanied by increased renal concentrations of human cytokines, chemokines, and soluble receptors. ICI treatment significantly elevated serine proteases (Granzyme A/B) and NGF-{beta}, while decreasing IL-4. Interstitial nephritis correlated with renal PD-1 and MIF. Renal vasculitis correlated with kidney PD-1, CCL1, MIF, Granzyme A, IL-15, and BAFF. Traditional injury biomarkers (KIM-1, NGAL) remained unchanged; however, a trending decrease in EGF was observed. ConclusionsOur study suggests that shifts in human T-cell populations and specific immune proteins could serve as promising biomarkers and mechanistic targets for ICI nephrotoxicity. The tumor-bearing HIS-BRGS mouse model reproducibly recapitulates the histopathological and immunological features of human ICI-induced nephrotoxicity and represents a validated preclinical platform for testing novel therapeutic interventions to preserve kidney function during cancer immunotherapy. Translational StatementImmune checkpoint inhibitor (ICI)-associated nephrotoxicity occurs in up to 25% of treated patients, yet the immunological mechanisms driving renal injury remain poorly characterized due to the scarcity of human biopsy material and the absence of robust preclinical models that recapitulate human immune responses. This study demonstrates that tumor-bearing humanized immune system (HIS) mice treated with combined nivolumab and ipilimumab reproducibly develop renal vasculitis and interstitial nephritis mediated by a human CD4+ T cell-dominant infiltrate, mirroring the clinicopathological features reported in patients with ICI-associated acute kidney injury. By integrating histopathology, flow cytometry, multiplex proteomics, and transcriptomics, we identify a coordinated immune network, including IL-15, CCL1, MIF, GZMA, and BAFF, that correlates with the severity of renal pathology and represents tractable mechanistic targets and candidate biomarkers. These findings provide a validated preclinical platform for dissecting irAE mechanisms and testing novel therapeutic strategies to preserve kidney function during cancer immunotherapy.

pharmacology and toxicology↗

Pancreatic α-cells are required for nutrient homeostasis by regulating dynamic β-cell networks in islets

Pancreatic islets contain -, {beta}-, {gamma}- and {delta}-cells as sensors and actuators regulating glucose homeostasis. Despite the known importance of -cells, they are seemingly required for glucose tolerance only under metabolic stress. In an inducible model of -cell ablation in mice (GluDTR), glucose tolerance was considerably decreased by physiological addition of amino-acids mimicking meals. Analysis of islet {beta}-cell secretion and electrical activities using microelectrode arrays (MEA) detected only minor differences in GluDTR mice for glucose but revealed a major reduction upon addition of amino acids. Analysis of functional islet {beta}-cell networks by high density MEA revealed leading regions in different locations, a high degree of synchrony and the activation of large cell clusters. The characteristics of leading regions were preserved in GluDTR islets, but synchrony, cluster size and signal propagation speed were largely reduced. Thus, even without metabolic stress, -cells are required for nutrient homeostasis by regulating the dynamics of {beta}-cell networks. TeaserIslet -cells are required for meal tolerance by adjusting synchrony, cluster size and signal propagation of {beta}-cell networks.

physiology↗

Predicting TCR-pMHC Binding by Reinforcement Learning

The binding between T cell receptors (TCRs) and peptide-major histocompat-ibility complexes (pMHCs) is fundamental to the immune systems ability to recognize and eliminate pathogens. Accurate prediction of TCR-pMHC inter-actions holds significant promise for advancing cancer immunotherapy, vaccine design, and autoimmune disease research. However, existing approaches often treat the sequences, structures, and functions of TCRs, peptides, and MHC molecules in isolation, neglecting their interdependencies and hence limiting the prediction accuracy. In this study, we present ProTCR, a novel approach that integrates sequence, structural, and functional information within a reinforce-ment learning framework, offering a new paradigm for predicting TCR-pMHC binding. The reinforcement learning optimization enables ProTCR to generate TCR-pMHC sequences with enhanced binding propensity, thereby improving prediction accuracy. On benchmark datasets such as IEDB and VDJdb, ProTCR achieves an AUROC of 0.75, outperforming state-of-the-art methods by 32.7%, while offering interpretable insights into the structural and sequence determi-nants of binding. We further validate ProTCR using TCRs and neoantigens derived from a cervical cancer patient via proteogenomic profiling. Our analysis reveals a strong correlation between T cell clonal expansion and ProTCR-predicted TCR-peptide binding scores, supporting the biological relevance of the model. Additionally, ProTCR demonstrates robust performance in predict-ing SARS-CoV-2 TCR-pMHC complexes and generating MHC-specific peptides with potential applications in peptide-based immunotherapies. Collectively, these findings establish ProTCR as a powerful and interpretable tool for TCR-pMHC binding prediction, with broad utility across immunology research and translational applications.

bioinformatics↗

Eukaryotic translation initiation factor 3d regulates stress granule assembly via its RNA binding domain

Stress granules are cytoplasmic mRNA-protein complexes that form by liquid-liquid phase separation in response to a variety of stresses. Their assembly is contingent upon the inhibition of mRNA translation. Depending on the type of stress and severity, they can promote stress resistance or act to reduce cellular fitness. As such, stress granules are implicated in ageing and a range of related pathologies. Many translation factors are components of stress granules, but it is unclear how they contribute to granule assembly. Here we show that the eIF3d component of the eIF3 translation initiation complex is recruited to stress granules in human cells and is required for stress granule assembly in response to specific stresses. The RNA-binding domain of eIF3d mediates its recruitment to stress granules and deletion of this domain blocks granule formation and decreases cell viability. Furthermore, the exogenous expression of just the eIF3d RNA-binding domain can rescue stress granule assembly in eIF3d-depleted cells. We confirmed the importance of eIF3d for robust stress granule assembly in vivo using the nematode worm C. elegans. This study demonstrates that eIF3d is a critical evolutionary conserved stress granule assembly factor, rather than simply coalescing passively into stress granules following the inhibition of translation initiation.

cell biology↗

CD8+ T cells regulate the bioenergetic reprogramming of lymphoid organs and the heart during viral infection

The activation of the immune system is a bioenergetically-costly process1. Yet, essential bodily functions require a continuous energy supply, imposing energy constraints and trade-offs between competing processes2. Our understanding of the underlying bioenergetic adaptations reconciling rapid immune activation with other vital processes remains scarce. 3-6 Here, by using experimental models of viral infections, we identified an unexpected CD8+ T cell-driven redistribution of energy substrates between lymphoid organs and the heart. Viral infection promoted systemic hypoglycaemia and ketogenesis, together with systemic reallocation of energy substrates. Across organs analysed, secondary lymphoid organs and the heart showed the most dramatic changes. The former increased glucose uptake and oxidation while the heart showed the opposite, switching to preferential fatty acid utilization. These bioenergetic adaptations were absent in infected mice lacking CD8+ T cells or with T cells lacking the glucose transporter GLUT1. Pharmacological inhibition of fatty acid oxidation forced a systemic switch to glucose oxidation. This was associated with metabolic decompensation, reduced cardiac energetics, left ventricular stress, and mortality in otherwise nonlethal viral infections. Our results reveal how the energetic cost of immune cell activation imposes bioenergetic adaptations on non-lymphoid organs, posing a major challenge for the heart by completely relying on fatty acids.

immunology↗

OGDHL regulates nucleotide metabolism, tumor growth, and neuroendocrine marker expression in prostate cancer

As cancer cells evade therapeutic pressure and adopt alternate lineage identities not commonly observed in the tissue of origin, they likely adopt alternate metabolic programs to support their evolving demands. Targeting these alternative metabolic programs in distinct molecular subtypes of aggressive prostate cancer may lead to new therapeutic approaches to combat treatment-resistance. We identify the poorly studied metabolic enzyme Oxoglutarate Dehydrogenase-Like (OGDHL), named for its structural similarity to the tricarboxylic acid (TCA) cycle enzyme Oxoglutarate Dehydrogenase (OGDH), as an unexpected regulator of tumor growth, treatment-induced lineage plasticity, and DNA Damage in prostate cancer. While OGDHL has been described as a tumor-suppressor in various cancers, we find that its loss impairs prostate cancer cell proliferation and tumor formation. Loss of OGDHL profoundly alters Androgen Receptor inhibition-induced plasticity, including suppressing the neuroendocrine markers DLL3 and HES6, induces accumulation of the DNA damage response marker {gamma}H2AX, and reduces nucleotide synthesis. Our data suggest that OGDHL has minimal impact on TCA cycle activity, and that mitochondrial localization is not required for its regulation of prostate cancer plasticity and nucleotide metabolism. Finally, we demonstrate that OGDHL expression is tightly correlated with neuroendocrine differentiation in clinical prostate cancer. These findings underscore the importance of investigating poorly characterized metabolic genes as potential regulators of distinct molecular subtypes of aggressive cancer.

cancer biology↗

Different genetic determinants for high virulence, transmission and replication of high pathogenicity H7N7 avian influenza virus in turkeys and chickens

High pathogenicity (HP) avian influenza viruses (AIV) generally evolve from low pathogenicity (LP) precursors after transmission from wild birds to chickens (Gallus gallus domesticus) and turkeys (Meleagris gallopavo), causing severe economic losses worldwide. Turkeys are more susceptible to AIV infection than chickens and are considered potential bridging hosts that facilitate the emergence of HPAIV. Beyond the polybasic cleavage site (pCS) in hemagglutinin (HA), little is known about other virulence determinants of HPAIV in these species. In 2015, HPAIV H7N7 and its LP ancestor were isolated from the same chicken farm, which differed by 16 nonsynonymous mutations across all eight gene segments, in addition to the pCS. Here we identify the genetic determinants, including the pCS, that contributed to the HPAIV H7N7 virulence, transmission, replication, and tissue distribution in chickens and turkeys. Notably, the non-structural (NS1) or matrix (M) proteins encoding segments in turkeys, or NS segment in chickens, rendered viruses as virulent and transmissible as the original HPAIV. Endotheliotropism, observed exclusively in chickens, was driven by the pCS and, to a lesser extent, the neuraminidase (NA). In vitro, the M2-V68L mutation influenced NS1 expression and virus morphology in chicken and turkey cells. Additionally, HPAIV NS1 enhanced polymerase activity and effectively suppressed interferon induction, a process further modulated by M2-V68L. These findings underscore the critical role of turkeys as a "hub" in the evolution of HPAIV from LP precursors, offering crucial insights into the genotypic and phenotypic factors that facilitate viral adaptation in different poultry species. ImportanceHigh pathogenicity avian influenza viruses (HPAIV) cause severe economic losses for the poultry industry worldwide. HPAIV generally evolve from low pathogenicity (LP) ancestors in galliform birds, with turkeys being more susceptible to severe disease and death than chickens. The mechanisms underlying HPAIV emergence in these species remain unclear. This study reveals two distinct evolutionary pathways for HPAIV. In turkeys, both the polybasic hemagglutinin cleavage site (pCS) and mutations in the NS or M segments contributed to high virulence and transmission. In chickens, only the NS segment was critical, in addition to the pCS. These segments increased virus replication in both chicken and turkey cells. However, unlike chicken cells, the M and NS segments did not play a role in blocking the innate immune response. Understanding these species-specific mechanisms highlights the role of turkeys as a bridging host and provides insights into the molecular evolution of HPAIV from LP precursors.

microbiology↗

Development of FAP-targeted theranostics discovered by next-generation sequencing-augmented mining of a novel immunized VNAR library

Cancer-associated fibroblasts (CAFs) in the stroma of solid tumors promote an immunosuppressive tumor microenvironment (TME) that drives resistance to therapies. The expression of the protease fibroblast activation protein (FAP) on the surface of CAFs has made FAP a target for development of therapies to dampen immunosuppression. Relatively few biologics have been developed for FAP and none have been developed that exploit the unique engagement properties of Variable New Antigen Receptors (VNARs) from shark antibodies. As the smallest binding domain in nature, VNARs cleverage unique geometries and recognize epitopes conventional antibodies cannot. By directly immunizing a nurse shark with FAP, we created a large anti-FAP VNAR phage display library. This library allowed us to identify a suite of anti-FAP VNARs through traditional biopanning and also by an in silico approach that did not require any prior affinity-based enrichment in vitro. We investigated four VNAR-Fc fusion proteins for theranostic properties and found that all four recognized FAP with high affinity and were rapidly internalized by FAP-positive cells. As a result, the VNAR-Fc constructs were effective antibody-drug conjugates in vitro and were able to localize to FAP-positive xenografts in vivo. Our findings establish VNAR-Fc constructs as a versatile platform for theranostic development that could yield innovative cancer therapies targeting the TME.

synthetic biology↗

CRISPR screen for rAAV production implicates genes associated with infection

Recombinant adeno-associated virus (rAAV) vectors are an effective and well-established tool in the growing gene therapy field, with five FDA-approved AAV-mediated gene therapies already on the market and numerous more in clinical trials. However, manufacturing rAAV vectors is an expensive, timely, and labor-intensive process that limits the commercial use of AAV-mediated gene therapies. To address this limitation, we screened producer cells for genes that could be targeted to increase rAAV yield. Specifically, we performed a CRISPR-based genome-wide knockout screen in HEK 293 cells using an antibody specific to intact AAV2 capsids coupled with flow cytometry to identify genes that modulate rAAV production. We discovered that the knockout of a group of heparan sulfate biosynthesis genes previously implicated in rAAV infectivity decreased rAAV production. Additionally, we identified several vesicular trafficking proteins for which knockout in HEK 293 cells increased rAAV yields. Our findings provide evidence that host proteins associated with viral infection may have also been co-opted for viral assembly and that the genetic makeup of viral producer cells can be manipulated to increase particle yield.

cell biology↗

Claudin-4 remodeling of nucleus-cell cycle crosstalk maintains ovarian tumor genome stability and drives resistance to genomic instability-inducing agents.

During cancer development, the interplay between the nucleus and the cell cycle leads to a state of genomic instability, often accompanied by observable morphological aberrations. These aberrations can be controlled by tumor cells to evade cell death, either by preventing or eliminating genomic instability. In epithelial ovarian cancer (EOC), overexpression of the multifunctional protein claudin-4 is a key contributor to therapy resistance through mechanisms associated with genomic instability. However, the molecular mechanisms underlying claudin-4 overexpression in EOC remain poorly understood. Here, we altered claudin-4 expression and employed a unique claudin-4 targeting peptide (CMP) to manipulate the function of claudin-4. We found that claudin-4 facilitates genome maintenance by linking the nuclear envelope and cytoskeleton dynamics with cell cycle progression. Claudin-4 caused nuclei constriction by excluding lamin B1 and promoting perinuclear F-actin accumulation, associated with remodeling nuclear architecture, thus altering nuclear envelope dynamics. Consequently, cell cycle modifications due to claudin-4 overexpression resulted in fewer cells entering the S-phase and reduced genomic instability. Importantly, disrupting biological interactions of claudin-4 using CMP and forskolin altered oxidative stress cellular response and increased the efficacy of PARP inhibitor treatment. Our data indicate that claudin-4 protects tumor genome integrity by remodeling the crosstalk between the nuclei and the cell cycle, leading to resistance to genomic instability formation and the effects of genomic instability-inducing agents. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/611120v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@7ed420org.highwire.dtl.DTLVardef@98949eorg.highwire.dtl.DTLVardef@1453a68org.highwire.dtl.DTLVardef@1fdab87_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO Claudin-4 plays a crucial role in remodeling the cytoskeleton, particularly influencing nuclear architecture. This remodeling appears to act as a regulatory mechanism, limiting the progression of ovarian cancer cells into the S-phase and correlating with reduced genomic instability in ovarian tumors. Moreover, since olaparib treatment triggered a cellular oxidative response, it is likely that this claudin-4-mediated remodeling contributes to resistance against the effects of the PARP inhibitor. C_FIG

cancer biology↗

Complexome profiling of the Chlamydomonas psb28 mutant reveals THYLAKOID ENRICHED FRACTION 5 as an early photosystem II assembly factor

Several auxiliary factors are required for the assembly of photosystem (PS) II, one of which is Psb28. While the absence of Psb28 in cyanobacteria has little effect on PSII assembly, we show here that the Chlamydomonas psb28-null mutant is severely impaired in PSII assembly, showing drastically reduced PSII supercomplexes, dimers and monomers, while overaccumulating RCII, CP43mod and D1mod. The mutant had less PSI and more Cytb6f and showed fewer thylakoid stacks and distorted chloroplast morphology. Complexome profiling of the psb28 mutant revealed that TEF5, the homolog of Arabidopsis PSB33/LIL8, co-migrated particularly with RCII. TEF5 also interacted with PSI. A Chlamydomonas tef5 null mutant is also severely impaired in PSII assembly and overaccumulates RCII and CP43mod. RC47 was not detectable in the light-grown tef5 mutant. Our data suggest a possible role for TEF5 in facilitating the assembly of CP47mod into RCII. Both the psb28 and tef5 mutants exhibited decreased synthesis of CP47 and PsbH, suggesting negative feedback regulation possibly exerted by the accumulation of RCII and/or CP43mod in both mutants. The strong effects of missing auxiliary factors on PSII assembly in Chlamydomonas suggest a more effective protein quality control system in this alga than in land plants and cyanobacteria. One-sentence summaryThe Chlamydomonas psb28 mutant is severely impaired in PSII assembly which via complexome profiling allowed identifying TEF5 as a novel PSII assembly factor that likely facilitates CP47 assembly. The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (https://academic.oup.com/plcell/pages/General-Instructions) is: Michael Schroda (m.schroda@rptu.de).

plant biology↗

The Role of ADGRA3 in Adipose Thermogenesis: A Potential Therapeutic Target for Obesity

The induction of adipose thermogenesis plays a critical role in maintaining body temperature and improving metabolic homeostasis to combat obesity. {beta}3-adrenoceptor ({beta}3-AR) is widely recognized as a canonical {beta}-adrenergic G protein-coupled receptor (GPCR) that plays a crucial role in mediating adipose thermogenesis in mice. Nonetheless, the limited expression of {beta}3-AR in human adipocytes restricts its clinical application. The objective of this study was to identify a GPCR that is highly expressed in human adipocytes and to explore its potential involvement in adipose thermogenesis. Our research findings have demonstrated that the adhesion G protein-coupled receptor A3 (ADGRA3), an orphan GPCR, plays a significant role in adipose thermogenesis through its constitutively active effects. ADGRA3 exhibited high expression levels in human adipocytes and mouse brown fat. Furthermore, the knockdown of Adgra3 resulted in an exacerbated obese phenotype and a reduction in the expression of thermogenic markers. Conversely, Adgra3 overexpression activated the adipose thermogenic program and improved metabolic homeostasis without an exogenous ligand supplementation. We found that ADGRA3 facilitates the biogenesis of beige adipocytes through the Gs-PKA-CREB axis. Moreover, hesperetin was identified as a potential agonist of ADGRA3, capable of inducing adipocyte browning and ameliorating insulin resistance. In conclusion, our study demonstrated that the overexpression of constitutively active ADGRA3 or the activation of ADGRA3 by hesperetin can induce adipocyte browning by Gs-PKA-CREB axis. These findings indicate that the utilization of hesperetin and the selectively overexpression of ADGRA3 in adipose tissue could serve as promising therapeutic strategies in the fight against obesity.

cell biology↗

Antiviral Drug Discovery with an Optimized Biochemical Dengue Protease Assay: Improved Predictive Power for Antiviral Efficacy

The viral NS2B-NS3 protease is a promising drug target to combat dengue virus (DENV) and other emerging flaviviruses. The discovery of novel DENV protease inhibitors with antiviral efficacy is hampered by the low predictive power of biochemical assays. We herein present a comparative evaluation of biochemical DENV protease assay conditions and their benchmarking against antiviral efficacy and a protease-specific reporter gene assay. Variations were performed with respect to pH, type of detergent, buffer, and substrate. The revised assay conditions were applied in a medicinal chemistry effort aimed at phenylglycine protease inhibitors. This validation study demonstrated a considerably improved predictive power for antiviral efficacy in comparison to previous approaches. An extensive evaluation of phenylglycine-based DENV protease inhibitors with highly diverse N-terminal caps indicates further development potential in this structural region. Furthermore, the phenylglycine moiety may be less essential than previously assumed, providing a development option towards reduced lipophilicity and thereby an improved pharmacokinetic and toxicity profile. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/597555v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@fd8241org.highwire.dtl.DTLVardef@172873eorg.highwire.dtl.DTLVardef@d35bcorg.highwire.dtl.DTLVardef@142f1ac_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

Continuous monitoring of glucose levels in vivo with a micro-organ based microfluidic biosensor

Continuous monitoring of glucose levels has improved diabetes therapy. Current approaches rely on enzyme-linked electrochemical probes but do not allow a fully autonomous artificial pancreas. In contrast, monitoring the activity of a few electrogenic pancreatic islets in a biosensor may harness the computational power of the different endocrine cell types in the micro-organ, shaped for nutrient detection during evolution, and provide a more appropriate read-out. Extracellular electrophysiology captures slow potentials (SPs), which reflect coupled islet {beta}-cell activity and is thus a method of choice for long-term monitoring of native islet activity in vitro. We have now developed a microfluidic microelectrode chip containing a few islets and linked to interstitial fluids in live rats by subcutaneous microdialysis. The electrical activity in terms of slow potentials monitored by this biosensor reacts ex vivo proportionally to glucose levels off-line in serum or dialysed interstitial fluid. On-line monitoring in vivo reveals an excellent correlation between islet slow potential frequency, and to a lesser degree to slow potential amplitudes, to glucose concentrations with little variation between animals. The microorgan-based biosensor harness multiple parameters in vivo and provides a read-out closer to physiology. This demonstrates the usefulness of such biosensors for sensor-based therapy of diabetes.

physiology↗

Extracellular electrophysiology on clonal human beta-cell spheroids

Pancreatic islets are important in nutrient homeostasis and improved cellular models of clonal origin may very useful especially in view of relatively scarce primary material. Close 3D contact and coupling between {beta}-cells are a hallmark of physiological function improving signal/noise ratios. Extracellular electrophysiology using micro-electrode arrays (MEA) is technically far more accessible than single cell patch clamp, enables dynamic monitoring of electrical activity in 3D organoids and recorded multicellular slow potentials (SP) provide unbiased insight in cell-cell coupling. We have therefore asked whether 3D spheroids enhance clonal {beta}-cell function such as electrical activity and hormone secretion using human EndoC-{beta}H1, EndoC-{beta}H5 and rodent INS-1 cells. EndoC-{beta}H1 spheroids exhibited increased signals in terms of SP frequency and especially amplitude as compared to monolayers and even single cell action potentials (AP) were quantifiable. Enhanced electrical signature in spheroids was accompanied by an increase in the glucose stimulated insulin secretion index. EndoC-{beta}H5 monolayers and spheroids gave electrophysiological profiles similar to EndoC-{beta}H1, except for a higher electrical activity at 3 mM glucose, and exhibited moreover a biphasic profile. Again, physiological concentrations of GLP-1 increased AP frequency. Spheroids also exhibited a higher secretion index. INS-1 cells did not form stable spheroids, but overexpression of connexin 36, required for cell-cell coupling, increased glucose responsiveness, dampened basal activity and consequently augmented the stimulation index. In conclusion, spheroid formation enhances physiological function of the human clonal {beta}-cell lines and these models may provide surrogates for primary islets in extracellular electrophysiology.

cell biology↗