Biology subjects

Du, J.

Publications and source records attributed to Du, J..

At least 145 records · Page 8Linked to original sources

bioRxiv2023

Oxaliplatin-induced cardiotoxicity in mice is connected to the changes in energy metabolism in the heart tissue

Oxaliplatin is a platinum-based alkylating chemotherapeutic agent used for cancer treatment. At high cumulative dosage, the negative effect of oxaliplatin on the heart becomes evident and is linked to a growing number of clinical reports. The aim of this study was to determine how chronic oxaliplatin treatment causes the changes in energy-related metabolic activity in the heart that leads to cardiotoxicity and heart damage in mice. C57BL/6 male mice were treated with a human equivalent dosage of intraperitoneal oxaliplatin (0 and 10 mg/kg) once a week for eight weeks. During the treatment, mice were followed for physiological parameters, ECG, histology and RNA sequencing of the heart. We identified that oxaliplatin induces strong changes in the heart and affects the hearts energy-related metabolic profile. Histological post-mortem evaluation identified focal myocardial necrosis infiltrated with a small number of associated neutrophils. Accumulated doses of oxaliplatin led to significant changes in gene expression related to energy related metabolic pathways including fatty acid (FA) oxidation, amino acid metabolism, glycolysis, electron transport chain, and NAD synthesis pathway. At high accumulative doses of oxaliplatin, the heart shifts its metabolism from FAs to glycolysis and increases lactate production. It also leads to strong overexpression of genes in NAD synthesis pathways such as Nmrk2. Changes in gene expression associated with energy metabolic pathways can be used to develop diagnostic methods to detect oxaliplatin-induced cardiotoxicity early on as well as therapy to compensate for the energy deficit in the heart to prevent heart damage. Significance StatementThis study uncovers the detrimental impact of chronic oxaliplatin treatment on heart metabolism in mice, linking high accumulative dosages to cardiotoxicity and heart damage. By identifying significant changes in gene expression related to energy metabolic pathways, the findings pave the way for the development of diagnostic methods to detect oxaliplatin-induced cardiotoxicity at an early stage. Furthermore, these insights may inform the creation of therapies that compensate for the energy deficit in the heart, ultimately preventing heart damage and improving patient outcomes in cancer treatment.

pharmacology and toxicology↗

bioRxiv2023

Cataloging the Phylogenetic Diversity of Human Bladder Bacterial Isolates

Although the human bladder is reported to harbor unique microbiota, our understanding of how these microbial communities interact with their human hosts is limited, mostly owing to the lack of isolates to test mechanistic hypotheses. Niche-specific bacterial collections and associated reference genome databases have been instrumental in expanding knowledge of the microbiota of other anatomical sites, e.g., the gut and oral cavity. To facilitate genomic, functional, and experimental analyses of the human bladder microbiota, here we present a bladder-specific bacterial reference collection comprised of 1134 genomes. These genomes were culled from bacterial isolates obtained by a metaculturomic method from bladder urine collected by transurethral catheterization. This bladder-specific bacterial reference collection includes 196 different species, including representatives of major aerobes and facultative anaerobes, as well as some anaerobes. It captures 72.2 % of the genera found when we reexamined previously published 16S rRNA gene sequencing of 392 adult female bladder urine samples. Comparative genomic analysis found that the taxonomies and functions of the bladder microbiota shared more similarities with the vaginal microbiota than the gut microbiota. Whole-genome phylogenetic and functional analyses of 186 bladder E. coli isolates and 387 gut E. coli isolates supports the hypothesis that phylogroup distribution and functions of E. coli strains differ dramatically between these two very different niches. This bladder-specific bacterial reference collection is a unique resource that will enable hypothesis-driven bladder microbiota research and comparison to isolates from other anatomical sites.

microbiology↗

bioRxiv2023

Piezo1-dependent regulation of pericyte proliferation by blood flow during brain vascular development

Blood flow is known to regulate cerebrovascular development through acting on vascular endothelial cells (ECs). As an indispensable component of the cerebrovascular unit, brain pericytes physically couple with ECs with the highest density in the body and play vital roles in blood-brain barrier integrity maintenance and neurovascular coupling. However, it remains unclear whether blood flow affects the development of brain pericytes. Here, we report that blood flow can promote brain pericyte proliferation, which depends on the mechanosensitive ion channel Piezo1. Using in vivo time-lapse imaging of larval zebrafish, we monitored the developmental dynamics of brain pericytes and found that they proliferated to expand their population and increase their coverage on brain vessels. In combination with pharmacological and genetic approaches, we demonstrate that the proliferation of brain pericytes can be enhanced by increased blood flow through Piezo1 expressed in ECs. Furthermore, EC-intrinsic Notch signaling was found to be downstream of Piezo1 for the blood flow regulation of brain pericyte proliferation. Thus, our findings reveal an important role of blood flow for pericyte proliferation, extending the functional spectrum of hemodynamics on the development of cerebral vasculature.

developmental biology↗

bioRxiv2023

Proline provides a nitrogen source in the retinal pigment epithelium to synthesize and export amino acids for the neural retina

It is known that metabolic defects in the retinal pigment epithelium (RPE) can cause degeneration of its neighboring photoreceptors in the retina, leading to retinal degenerative diseases such as age-related macular degeneration. However, how RPE metabolism supports the health of the neural retina remains unclear. The retina requires exogenous nitrogen sources for protein synthesis, neurotransmission, and energy metabolism. Using 15N tracing coupled with mass spectrometry, we found human RPE can utilize the nitrogen in proline to produce and export 13 amino acids, including glutamate, aspartate, glutamine, alanine and serine. Similarly, we found this proline nitrogen utilization in the mouse RPE/Cho but not in the neural retina of explant cultures. Co-culture of human RPE with the retina showed that the retina can take up the amino acids, especially glutamate, aspartate and glutamine, generated from proline nitrogen in the RPE. Intravenous delivery of 15N proline in vivo demonstrated 15N-derived amino acids appear earlier in the RPE before the retina. We also found proline dehydrogenase (PRODH), the key enzyme in proline catabolism, is highly enriched in the RPE but not the retina. The deletion of PRODH blocks proline nitrogen utilization in RPE and the import of proline nitrogen-derived amino acids in the retina. Our findings highlight the importance of RPE metabolism in supporting nitrogen sources for the retina, providing insight into understanding the mechanisms of the retinal metabolic ecosystem and RPE-initiated retinal degenerative diseases.

biochemistry↗

bioRxiv2023

Coupling enzymatic activity and gating in an ancient TRPM chanzyme and its molecular evolution

The canonical ion channels gated by chemical ligands use the free energy of agonist binding to open the channel pore, returning to a closed state upon agonist departure. A unique class of ion channels, known as channel-enzymes (chanzymes), possess additional enzymatic activity that is directly or indirectly linked to their channel function. Here we investigated a TRPM2 chanzyme from choanoflagellates, an evolutionary ancestor of all metazoan TRPM channels, which integrates two seemingly incompatible functions into a single peptide: a channel module activated by ADP ribose (ADPR) with high open probability and an enzyme module (NUDT9-H domain) consuming ADPR at a remarkably slow rate. Using time-resolved cryo- electron microscopy (cryo-EM), we captured a complete series of structural snapshots of the gating and catalytic cycles, revealing the coupling mechanism between channel gating and enzymatic activity. Our results showed that the slow kinetics of the NUDT9-H enzyme module confers a novel self-regulatory mechanism, whereby the enzyme module modulates channel gating in a binary manner. Binding of ADPR to NUDT9-H first triggers tetramerization of the enzyme modules, promoting channel opening, while the subsequent hydrolysis reaction reduces local ADPR availability, inducing channel closure. This coupling enables the ion-conducting pore to alternate rapidly between open and closed states, avoiding Mg2+ and Ca2+ overload. We further demonstrated how the NUDT9-H domain has evolved from a structurally semi-independent ADPR hydrolase module in early species TRPM2 to a fully integrated component of a gating ring essential for channel activation in advanced species TRPM2. Our study demonstrated an example of how organisms can adapt to their environments at the molecular level.

biophysics↗

bioRxiv2023

The maize PLASTID TERMINAL OXIDASE (PTOX) gene controls the carotenoid content of kernels.

O_LICarotenoids perform a broad range of important functions in humans; therefore, carotenoid biofortification of maize (Zea mays L.), one of the most highly produced cereal crops worldwide, would have a global impact on human health. C_LIO_LIPLASTID TERMINAL OXIDASE (PTOX) genes play an important role in carotenoid metabolism; however, the possible function of PTOX in carotenoid biosynthesis in maize has not yet been explored. In this study, we identified the maize PTOX gene ZmPTOX1 by forward genetic screening. C_LIO_LIWhile most higher plant species possess a single copy of the PTOX gene, maize carries two tandemly duplicated copies of ZmPTOX. Characterization of Zmptox1 mutants revealed that disrupting one copy of ZmPTOX1 was enough to impair carotenoid biosynthesis, indicating that ZmPTOX1 is essential for carotenoid biosynthesis in maize kernels. Remarkably, overexpression of ZmPTOX1 significantly improved the content of carotenoids, especially {beta}-carotene (provitamin A), which was increased by ~3-fold, in maize kernels. C_LIO_LIOverall, our study shows that ZmPTOX1 plays a crucial role in carotenoid biosynthesis in maize kernels and suggests that fine-tuning the expression of this gene could improve the nutritional value of cereal grains. C_LI

plant biology↗

bioRxiv2023

Confinement with Myosin-II suppression increases heritable loss of chromosomes, using live-cell ChReporters

Matrix around cells exerts many effects, some of which depend on the putative tumor suppressor Myosin-II, but whether such factors affect DNA sequences in a cell remains unclear. Here, live-cell monitoring of changes to chromosome copy numbers is developed and studied under diverse perturbations, including Myosin-II inhibition in confined mitosis. Squeezing of mitotic cells is seen in vivo and kills in vitro, but stem cells and cancer cells that survive show heritable loss of mono-allelic GFP/RFP-tagged constitutive genes that function as novel Chromosome-reporters (ChReporters). Myosin-II suppression increases such loss in 3D & 2D confinement but not in standard 2D, with "lethal" multipolar divisions proving myosin-dependent. Viable chromosome loss after confined mitosis associates more with mis-segregation than with multipolars or division number. Solid human tumors and teratomas in mice also show ChReporter loss and a confinement-signature of Myosin-II suppression, although losses are selected against in 2D culture. Heritable loss in rigid-confinement also appears independent of a spindle assembly checkpoint that functions in 2D. Confinement and myosin-II thus regulate pathways of heritable mechanogenetic change.

cell biology↗

bioRxiv2023

Mechanism of glycoform specificity and protection against antibody dependent enhancement by an anti-afucosylated IgG nanobody

Immunoglobulin G (IgG) antibodies contain a single, complex N-glycan on each IgG heavy chain protomer embedded in the hydrophobic pocket between its C{gamma}2 domains. The presence of this glycan contributes to the structural organization of the Fc domain and determines its specificity for Fc{gamma} receptors, thereby determining distinct cellular responses. On the Fc, the variable construction of this glycan structure leads to a family of highly-related, but non-equivalent glycoproteins known as glycoforms. We previously reported the development of synthetic nanobodies that distinguish IgG glycoforms without cross-reactivity to off-target glycoproteins or free glycans. Here, we present the X-ray crystal structure of one such nanobody, X0, in complex with its specific binding partner, the Fc fragment of afucosylated IgG1. Two X0 nanobodies bind a single afucosylated Fc homodimer at the upper C{gamma}2 domain, making both protein-protein and protein-carbohydrate contacts and overlapping the binding site for Fc{gamma} receptors. Upon binding, the elongated CDR3 loop of X0 undergoes a conformational shift to access the buried N-glycan and acts as a glycan sensor, forming hydrogen bonds with the afucosylated IgG N-glycan that would otherwise be sterically hindered by the presence of a core fucose residue. Based on this structure, we designed X0 fusion constructs that disrupt pathogenic afucosylated IgG1-Fc{gamma}RIIIa interactions and rescue mice in a model of dengue virus infection.

immunology↗

bioRxiv2023

Evolutionary transcriptomics reveals longevity mostly driven by polygenic and indirect selection in mammals

The maximum lifespan varies more than 100-fold in mammals. This experiment of nature may uncover of the evolutionary forces and molecular features that define longevity. To understand the relationship between gene expression variation and maximum lifespan, we carried out a comparative transcriptomics analysis of liver, kidney, and brain tissues of 106 mammalian species. We found that expression is largely conserved and very limited genes exhibit common expression patterns with longevity in all the three organs analyzed. However, many pathways, e.g., "Insulin signaling pathway", and "FoxO signaling pathway", show accumulated correlations with maximum lifespan across mammals. Analyses of selection features further reveal that methionine restriction related genes whose expressions associated with longevity, are under strong selection in long-lived mammals, suggesting that a common approach could be utilized by natural selection and artificial intervention to control lifespan. These results suggest that natural lifespan regulation via gene expression is likely to be driven through polygenic model and indirect selection.

evolutionary biology↗

bioRxiv2023

Tissue-specific sex difference in mouse eye and brain metabolome under fed and fasted states

PurposeVisual physiology and various ocular diseases demonstrate sexual dimorphisms; however, how sex influences metabolism in different eye tissues remains undetermined. This study aims to address common and tissue-specific sex differences in metabolism in the retina, retinal pigment epithelium (RPE), lens and brain under fed and fasted conditions. MethodsAfter ad libitum fed or deprived of food for 18 hours, mouse eye tissues (retina, RPE/choroid, and lens), brain, and plasma were harvested for targeted metabolomics. The data were analyzed with both Partial least squares-discriminant analysis (PLS-DA) and Volcano Plot analysis. ResultsAmong 133 metabolites that cover major metabolic pathways, we found 9-45 metabolites that are sex-different in different tissues under the fed state and 6-18 metabolites under the fasted state. Among these sex-different metabolites, 33 were changed in two or more tissues, and 64 were tissue-specific. Pantothenic acid, hypotaurine and 4-hydroxyproline were the top commonly changed metabolites. Lens and retina had the most tissue-specific sex-different metabolites enriched in the metabolism of amino acid, nucleotide, lipids and TCA cycle. Lens and brain had more similar sex-different metabolites than other occular tissues. Female RPE and female brain were more sensitive to fasting with more reduced metabolites in amino acid metabolism, TCA cycle and glycolysis. The plasma had the least sex-different metabolites with very few overlapping changes with tissues. ConclusionSex has a strong influence on eye and brain metabolism in tissue-specific and metabolic state-specific manners. Our findings may implicate the sexual dimorphisms in eye physiology and susceptibility to ocular diseases.

biochemistry↗

bioRxiv2022

Engineered reporter phages for rapid detection of Escherichia coli, Klebsiella spp., and Enterococcus spp. in urine

The rapid detection and species-level differentiation of bacterial pathogens facilitates antibiotic stewardship and improves disease management. Here, we develop a rapid bacteriophage-based diagnostic assay to detect the most prevalent pathogens causing urinary tract infections: Escherichia coli, Klebsiella spp., and Enterococcus spp. For each uropathogen, two virulent phages were genetically engineered to express a nanoluciferase reporter gene upon host infection. Using 206 patient urine samples, reporter phage-induced bioluminescence was quantified to identify bacteriuria and the assay was benchmarked against conventional urinalysis. Overall, E. coli, Klebsiella spp., and Enterococcus spp. were each detected with high sensitivity (68%, 78%, 85%), specificity (99%, 99%, 99%), and accuracy (90%, 94%, 96%) at a resolution of [>=]103 CFU/ml within 5 h. We further demonstrate how bioluminescence in urine can be used to predict phage antibacterial activity, demonstrating the future potential of reporter phages as companion diagnostics that guide patient-phage matching prior to therapeutic phage application.

microbiology↗

bioRxiv2022

A Visual, Inexpensive, and Wireless Capillary Rheometer

Complex fluid systems can exhibit highly non-linear and time-dependent flow behaviors that arise from microscale reorganization. Rheological measurements to understand these flow-induced properties in soft condensed matter and biology are critical to optimize manufacturing processes that rely upon the use of complex fluids, such as the creation of viscoelastic bioinks for 3D bioprinting. While typical rheological characterizations are performed on bulky and expensive rheometers, these options do not readily enable in situ microscopic visualization of flow behavior, which can provide microstructural insights into the mechanisms and patterns of yielding. To address these limitations, we present a visual, inexpensive (approximately $200), and wireless capillary rheometer (VIEWR) assembled from chiefly 3D printed components. We validate the accuracy and reliability of the portable rheometer by comparing measurements of multiple rheological parameters, including viscosity and yield stress, with measurements obtained from a commercial oscillatory rheometer. At its core, VIEWR employs an easily interchangeable glass capillary channel to enable real-time microscopic observation under flow conditions. To facilitate various experimental conditions, a communication protocol based on Internet of Things (IoT) is adapted to support wireless transmission of data. This unique rheometer design can be used for characterizing and visualizing numerous living and non-living complex fluids. Specifications table O_TBL View this table: org.highwire.dtl.DTLVardef@1be2128org.highwire.dtl.DTLVardef@172d43eorg.highwire.dtl.DTLVardef@1cc6eaforg.highwire.dtl.DTLVardef@76c6f5org.highwire.dtl.DTLVardef@3882_HPS_FORMAT_FIGEXP M_TBL C_TBL

bioengineering↗

bioRxiv2022

Transcription coactivator OCA-B/Pou2af1 is necessary and sufficient to promote T cell-intrinsic CD4 memory

The molecular mechanisms leading to the establishment of immunological memory are inadequately understood, limiting the development of effective vaccines and durable anti-tumor immune therapies. Here we show that ectopic OCA-B expression is sufficient to improve antiviral memory recall responses, while having minimal effects on primary effector responses. At peak viral response short lived effector T cell populations are expanded but show increased Gadd45b and Socs2 expression, while memory precursor effector cells show increased expression of Bcl2, Il7r and Tcf7 on a per-cell basis. Using an OCA-B mCherry reporter mouse line, we observe high OCA-B expression in CD4+ TCM cells. We show that early in viral infection, endogenously elevated OCA-B expression prospectively identifies memory precursor cells with increased survival capability and memory recall potential. Cumulatively, the results demonstrate that OCA-B is both necessary and sufficient to promote CD4 T cell memory in vivo and can be used to prospectively identify memory precursor cells. SignificanceCD4+ T cell memory is incompletely defined and memory progenitors difficult to identify. Here, we show that expression of the OCA-B transcription coactivator in CD4+ T cells is necessary and sufficient to drive productive memory. Using a novel mCherry reporter mouse line, we show that OCA-B expression enriches for responding effector cells with elevated memory potential. The results show that OCA-B expression in T cells is sufficient to promote CD4+ memory formation and marks memory precursor cells.

immunology↗

bioRxiv2022

Contact Stiffness Governs Mechanoresponses of Living Cells to Extracellular Microenvironment

In interactions between cells and extracellular matrices (ECMs), contact mechanics theory indicates that local ECM deformation depends on both local and non-local forces imposed by cells. In the present study, we investigated the use of a comprehensive variable, contact stiffness (CS), to interpret cell-ECM interactions. CS defines the relationship between the local ECM deformation and the total force from a cell, integrating the effects of individual variables including ECM stiffness, ECM thickness, and cell adhesion area. Through assessments of ECM mechanosensing by human mesenchymal stem cells (hMSCs) under varied CS conditions, we showed that CS scaled well with both yes-associated protein (YAP) activity and the extent of stem cell differentiation. To reveal the cross-scale mechanism underlying mechanosensing, we propose a CS-based motor clutch model, which suggests that various mechanical stimuli affect cells by altering the CS, thus altering the reaction force from the ECM. Using the proposed model, we revealed the contributions of cell architecture evolution to stem cell differentiation and predicted the influence of a non-adjacent ECM layer on cellular mechanosensing. These results demonstrate that the use of CS provides a quantitative predictive framework that allows researchers to address longstanding questions about the effects of ECM mechanics on cell behaviors.

biophysics↗

bioRxiv2022

Gell: A GPU-powered 3D hybrid simulator for large-scale multicellular system

As a powerful but computationally intensive method, hybrid computational models study the dynamics of multicellular systems by evolving discrete cells in reacting and diffusing extracellular microenvironments. As the scale and complexity of studied biological systems continuously increase, the exploding computational cost starts to limit large-scale cell-based simulations. To facilitate the large-scale hybrid computational simulation and make it feasible on easily accessible computational devices, we develop a fast and memory-efficient open-source GPU-based hybrid computational modeling platform Gell (GPU Cell), for large-scale system modeling. We fully parallelize the simulations on GPU for high computational efficiency and propose a novel voxel sorting method to further accelerate the modeling of massive cell-cell mechanical interaction with negligible additional memory footprint. As a result, Gell efficiently handles simulations involving tens of millions of cells on a personal computer. We compare the performance of Gell with a state-of-the-art paralleled CPU-based simulator on a hanging droplet spheroid growth task and further demonstrate Gell with a ductal carcinoma in situ (DCIS) simulation. Gell affords ~150X acceleration over the paralleled CPU method with one-tenth of the memory requirement. Author SummaryNumerical cell simulations provide indispensable insight into the cell-to-tumor tissue transition and help reduce biological experimental variables. However, the availability and practicality of large-scale cell simulation tools have been limited by high computational cost, slow performance, or proprietary. Recent developments in open-source simulation codes and GPU implementation have partially addressed the challenge. We further optimized the cell simulation platform for GPU implementation in this work. As a result, benchmark cell simulation experiments can be performed efficiently on a personal computer with a modern GPU. We made the platform open source to encourage community adoption and collective development.

systems biology↗

bioRxiv2022

DUnet: A deep learning guided protein-ligand binding pocket prediction

Investigating protein-ligand binding sites is the key step in engineering protein/enzyme activity and selectivity. In this study, we developed a 3D convolutional neural network DUnet that derived from DenseNet and UNet for predicting the protein-ligand binding sites. To train DUnet, the features of protein 3D structure were extracted by describing the atomic physical characters, and the ligand binding sites were used as training labels. DUnet was trained using three dataset, the scPDB dataset (collecting of protein-ligand complexes from Protein Data Bank), scPDB and SC6K (collecting of protein-ligand complexes deposited after January 1st, 2018 from Protein Data Bank) datasets, and scPDB and its derived dataset by rotating the samples in the dataset. DUnet displayed better performance than the current state-of-art methods during the benchmark test using independent validation sets, and enlarging the training set contributed to better accuracy. We developed a small dataset contains commonly used industrial enzymes for testing DUnet and found that it was also accurate in predicting the substrate binding sites. We experimentally characterized the substrate binding sites of microbial transglutaminase according to the prediction and showed the significance of these sites. Finally, DUnet was used to predict the ligand binding sites of Swiss-Prot annotated proteins.

bioinformatics↗

bioRxiv2022

Reduced Neutralization of SARS-CoV-2 Omicron Variant in Sera from SARS-CoV-1 Survivors after 3-dose of Vaccination

Recent studies found that Omicron variant escapes vaccine-elicited immunity. Interestingly, potent cross-clade pan-sarbecovirus neutralizing antibodies were found in survivors of the infection by SARS-CoV-1 after BNT162b2 mRNA vaccination (N Engl J Med. 2021 Oct 7;385(15):1401-1406). These pan-sarbecovirus neutralizing antibodies were observed to efficiently neutralize the infection driven by the S protein from both SARS-CoV and multiple SARS-CoV-2 variants of concern (VOC) including B.1.1.7 (Alpha), B.1.351 (Beta), and B.1.617.2 (Delta). However, whether these cross-reactive antibodies could neutralize the Omicron variant is still unknown. Based on the data collected from a cohort of SARS-CoV-1 survivors received 3-dose of immunization, our studies reported herein showed that a high level of neutralizing antibodies against both SARS-CoV-1 and SARS-CoV-2 were elicited by a 3rd-dose of booster vaccination of protein subunit vaccine ZF2001. However, a dramatically reduced neutralization of SARS-CoV-2 Omicron Variant (B.1.1.529) is observed in sera from these SARS-CoV-1 survivors received 3-dose of Vaccination. Our results indicates that the rapid development of pan-variant adapted vaccines is warranted.

immunology↗

bioRxiv2022

Enhancing bacteriophage therapeutics through in situ production and release of heterologous antimicrobial effectors

Bacteriophages operate via pathogen-specific mechanisms of action distinct from conventional, broad-spectrum antibiotics and are emerging as promising alternatives. However, phage-mediated killing is often limited by bacterial resistance development (1,2). Here, we engineer phages for target-specific effector gene delivery and host-dependent production of colicin-like bacteriocins and cell wall hydrolases. Using urinary tract infection (UTI) as a model, we show how heterologous effector phage therapeutics (HEPTs) suppress resistance and improve uropathogen killing by dual phage- and effector-mediated targeting. Moreover, we designed HEPTs to control polymicrobial uropathogen communities through production of effectors with cross-genus activity. Using a phage-based companion diagnostic (3), we identified potential HEPT responder patients and treated their urine ex vivo. Compared to wildtype phage, a colicin E7-producing HEPT demonstrated superior control of patient E. coli bacteriuria. Arming phages with heterologous effectors paves the way for successful UTI treatment and represents a versatile tool to enhance and adapt phage-based precision antimicrobials.

bioengineering↗