Biology subjects

Wu, D.

Publications and source records attributed to Wu, D..

At least 181 records · Page 10Linked to original sources

bioRxiv2023

The oxygen-induced thiosulfate production during Sulfate reduction, Autotrophic denitrification, Nitrification and Anammox (SANIA) integrated process towards next-generation mainstream wastewater treatment

This study proposes a novel integrated process: the oxygen-induced thiosulfate production during Sulfate reduction, Autotrophic denitrification, NItrification and Anammox (SANIA) integrated process, targeting to treat mainstream wastewater after organics capture. Three moving-bed biofilm reactors (MBBRs) were applied for oxygen-induced thiosulfate production during sulfate reduction, mixed sulfide- and thiosulfate-driven partial denitrification and anammox (MSPDA), and nitrification (N), respectively. This study firstly established SANIA with supply of mimic nitrifying effluent to investigated the development of MSPDA (Period I) and subsequently verified SANIA in mainstream condition with implementation of nitrification (Period II). In Period I, the MSPDA-MBBR fed with ERATO-MBBR and mimic nitrifying effluent, was operated for over 300 days. Without inoculation of anammox biomass, the high rates of denitratation and anammox being 2.7 gN/(m2{middle dot}d) and 2.8 gN/(m2{middle dot}d), respectively were developed in the bioreactor with the enrichment of anammox bacteria and the coexistence of sulfur-oxidizing bacteria. Batch tests were performed to explore the bioconversion of sulfur and nitrogen compounds in MSPDA with main findings as following: 1) kinetics and pathways of sulfide (S2- S0 SO42-) and thiosulfate (S2 O32- SO42-) oxidation were revealed; 2) fast denitrification was achieved during oxidation of sulfide and thiosulfate to S0 and sulfate, respectively with sufficient nitrite accumulation, supporting the high activity of anammox; 3) nitrite utilization rate of anammox (50.8 mgN/(m2{middle dot}h)) is higher than sulfur-driven denitritation (12.9-42.6 mgN/(m2{middle dot}h)), demonstrating the dominance of anammox in nitrogen removal. In Period II, the N-MBBR was set behind MSPDA-MBBR to supply nitrate by recirculation, thus the SANIA system was developed. Afterwards the integrated SANIA system with a short HRT of 4.7 h was continuously operated for over 130 days. Results demonstrated that 90% of COD, 93% of ammonium and 61% of TIN were removed with concentration of COD, ammonium, and TIN below 10 mg/L, 3 mgN/L and 13 mgN/L, respectively in effluent. Combining with organic capture and SANIA for sewage treatment, the energy-neutral and space-efficient treatment of mainstream wastewater is promising. HighlightsO_LIA new sulfur-cycle process (SANIA) was developed for sewage treatment. C_LIO_LIHigh rates of both denitratation and anammox were developed in MSPDA. C_LIO_LIOxidation of TdS (to S0) and S2O32- (to SO42-) in MSPDA boosts nitrite buildup. C_LIO_LI74-81% of the removed TIN was via anammox in SANIA process. C_LIO_LISANIA with a short HRT of 4.7h achieved good effluent qualities for sewage treatment. C_LI

microbiology↗

bioRxiv2023

A Deep Neural Network Two-part Model and Feature Importance Test for Semi-continuous Data

Semi-continuous data frequently arise in clinical practice. For example, while many surgical patients suffer from varying degrees of acute postoperative pain (POP) post surgery (i.e., POP score > 0), others experience none (i.e., POP score = 0), indicating the existence of two distinct data processes at play. Existing parametric or semi-parametric two-part modeling methods for this type of semicontinuous data can fail to appropriately model these two underlying data processes as such methods rely heavily on (generalized) linear additive assumptions. However, many factors may interact to jointly influence the experience of POP non-additively and non-linearly. Motivated by this challenge and inspired by the flexibility of deep neural networks (DNN) to accurately approximate complex functions universally, we derive a DNN-based two-part model by adapting the conventional DNN methods by adding two additional components: a bootstrapping procedure along with a filtering algorithm to boost the stability of the conventional DNN, an approach we denote as sDNN. To improve the interpretability and transparency of sDNN, we further derive a feature importance testing procedure to identify important features contributing to the outcome measurements of the two data processes, denoting this approach fsDNN. We show that fsDNN not only offers a valid feature importance test but also that using the identified features can further improve the predictive performance of sDNN. The proposed sDNN- and fsDNN-based twopart models are applied to the analysis of real data from a POP study, in which application they clearly demonstrate advantages over the existing parametric and semi-parametric two-part models. Further, we conduct extensive numerical studies to demonstrate that sDNN and fsDNN consistently outperform the existing two-part models regardless of the data complexity. An R package implementing the proposed methods has been developed and deposited on GitHub (https://github.com/SkadiEye/fsDNN).

bioinformatics↗

bioRxiv2023

Tumor-specific neutrophils originating from meninges promote glioblastoma

Glioma is one of the most aggressive human cancers with limited therapeutic options. Though research has extensively examined immune components in those malignant tumors, the pathophysiological mechanism establishing their immunosuppressive microenvironment remains incompletely characterized. In this study, we report for the first time the unique presence of tumor-specific neutrophils (TSNs) in human glioblastoma (GBM) tumors. This newly defined neutrophil subtype exhibits the high expression of several immunosuppressive genes (e.g., CD274 and IDO1) and is strongly correlated with glioma grades and poor prognosis of patients. TSNs with comparable gene signatures are similarly present in the tumors but not bone marrow or spleen of mouse glioma models. Blockage of TSN recruitment by either Cxcl1-knockout in glioma cells or Cxcr2-deletion in host mice significantly enhances antitumor immunity and inhibits tumor progression. Surprisingly, we further identify the meninges as the key extratumoral source of generating TSNs in both human GBM patients and mouse glioma models. These results have elucidated a novel mechanism of neutrophils designating the tumor immune microenvironment and the essential link of meningeal immunity to glioma.

cancer biology↗

bioRxiv2023

Effects of focused ultrasound in a "clean" mouse model of ultrasonic neuromodulation

Recent studies on ultrasonic neuromodulation (UNM) in rodents have shown that focused ultrasound (FUS) can activate peripheral auditory pathways, leading to off-target and brain-wide excitation, which obscures the direct activation of the target area by FUS. To address this issue, we developed a new mouse model, the double transgenic Pou4f3+/DTR x Thy1-GCaMP6s, which allows for inducible deafening using diphtheria toxin and minimizes off-target effects of UNM while allowing effects on neural activity to be visualized with fluorescent calcium imaging. Using this model, we found that the auditory confounds caused by FUS can be significantly reduced or eliminated within a certain pressure range. At higher pressures, FUS can result in focal fluorescence dips at the target, elicit non-auditory sensory confounds, and damage tissue, leading to spreading depolarization. Under the acoustic conditions we tested, we did not observe direct calcium responses in the mouse cortex. Our findings provide a cleaner animal model for UNM and sonogenetics research, establish a parameter range within which off-target effects are confidently avoided, and reveal the non-auditory side effects of higher-pressure stimulation.

neuroscience↗

bioRxiv2023

Differential modulation on neural activity related to flankers during face processing: a visual crowding study

The modulations of visual awareness on the processing of emotional faces have been mainly investigated in masking experiments where stimuli were presented for different durations as an integral process to the masking technique. In this visual crowding study, we manipulated the perceivability of a central crowded face (either a fearful or a neutral face) by varying the similarity between the central face and the surrounding flanker stimuli. We presented participants with pairs of visual clutters and recorded their electroencephalography during an emotion judgement task. In an upright flanker condition where both the target face and flanker faces were upright faces (high similarity), participants were less likely to report seeing the central target face, and their P300 was weakened, compared to a scrambled flanker condition where scrambled face images were used as flankers (low similarity). Additionally, at around 120ms post-stimulus, a posterior negativity was found for the upright flanker condition, compared to the scrambled flanker condition, however only for fearful face targets. We concluded that early neural responses seem to be affected by the perceptual characteristics of both target and flanker stimuli whereas neural activity at a later stage is associated with post-perceptual evaluation of the stimuli in this visual crowding paradigm.

neuroscience↗

bioRxiv2023

Gene networks reveal stem-cell state convergence during preneoplasia and progression to malignancy in multistage skin carcinogenesis

Adult mammalian stem cells play critical roles in normal tissue homeostasis, as well as in tumor development, by contributing to cell heterogeneity, plasticity, and development of drug resistance. The relationship between different types of normal and cancer stem cells is highly controversial and poorly understood. Here, we carried out gene expression network analysis of normal and tumor samples from genetically heterogeneous mice to create network metagenes for visualization of stem-cell networks, rather than individual stem-cell markers, at the single-cell level during multistage carcinogenesis. We combined this approach with lineage tracing and single-cell RNASeq of stem cells and their progeny, identifying a previously unrecognized hierarchy in which Lgr6+ stem cells from tumors generate progeny that express a range of other stem-cell markers including Sox2, Pitx1, Foxa1, Klf5, and Cd44. Our data identify a convergence of multiple stem-cell and tumor-suppressor pathways in benign tumor cells expressing markers of lineage plasticity and oxidative stress. This same single-cell population expresses network metagenes corresponding to markers of cancer drug resistance in human tumors of the skin, lung and prostate. Treatment of mouse squamous carcinomas in vivo with the chemotherapeutic cis-platin resulted in elevated expression of the genes that mark this cell population. Our data have allowed us to create a simplified model of multistage carcinogenesis that identifies distinct stem-cell states at different stages of tumor progression, thereby identifying networks involved in lineage plasticity, drug resistance, and immune surveillance, providing a rich source of potential targets for cancer therapy. One-Sentence SummaryGenes act in networks to drive cancer, and we identify these groups of genes from bulk-tissue and trace them at single-cell resolution.

cancer biology↗

bioRxiv2023

Reprogramming of lipid secretome in senescent synovial fibroblasts ameliorate osteoarthritis development

Osteoarthritis (OA) is one of the most common causes of physical disability among older people and its incidence increases with age. Removal of the senescent cells (SNCs) delays OA pathologies, but little is known about the SNCs in OA synovium and their roles in OA pathogenesis. Here, we reported that RCAN1+IL1+ double-positive cells represent a senescent subset of synovial fibroblasts which accelerate cartilage degeneration via saturated fatty acids (SFAs). Using single-cell RNA sequencing and synovial organoids, we found that IL1+ senescent synovial fibroblasts mainly located at lining layer of human OA synovium and promote cartilage degeneration. We performed genome-wide CRISPR/Cas9 screens to identify novel regulators of cell-surface bounded IL1 in senescent cells. RCAN1, which was a hit as positive regulator of IL1, governs the cellular senescence and pro-degenerative senescence-associated secretory phenotype (SASP). Mechanistically, we found that RCAN1 mediated the secretion of SFAs from senescent synovial fibroblasts, which promote chondrocytes senescence and cartilage matrix degradation. Intra-articular delivery of synovium-targeted anti-Rcan1 siRNA ameliorates the development of post-traumatic OA in mice, while reducing of SNCs accumulation in synovium and increasing cartilage regeneration. Last, co-culture experiments of human OA cartilage explant with synovial organoids confirmed that RCAN1 silencing in human synovial fibroblasts suppressed chondrocyte senescence and cartilage degradation. Thus, our study revealed a pro-degenerative interaction between RCAN1+IL1+ senescent synovial fibroblasts and chondrocytes through secreted lipid mediators in OA progression. And targeted RCAN1 inhibition in senescent synovium is a promising approach for restore the joint homeostasis.

pathology↗

bioRxiv2023

Vangl2 suppresses NF-κB signaling and ameliorates sepsis by targeting p65 for NDP52-mediated autophagic degradation

Van Gogh-like 2 (Vangl2), a core planar cell polarity (PCP) component, plays an important role in polarized cellular and tissue morphology induction, growth development and cancer. However, its role in regulating inflammatory responses remains elusive. Here, we report that Vangl2 is upregulated in patients with sepsis and identify Vangl2 as a negative regulator of NF-{kappa}B signaling by regulating the protein stability and activation of the core transcription component p65. Mice with myeloid-specific deletion of Vangl2 (Vangl2{Delta}M) are hypersusceptible to lipopolysaccharide (LPS)-induced septic shock. Vangl2 deficient myeloid cells exhibit enhanced phosphorylation and expression of p65, therefore, promoting the secretion of pro-inflammatory cytokines after LPS stimulation. Mechanistically, NF-{kappa}B signaling-induced-Vangl2 recruits E3 ubiquitin ligase PDLIM2 to catalyze K63-linked ubiquitination on p65, which serves as a recognition signal for cargo receptor NDP52-mediated selective autophagic degradation. Taken together, these findings demonstrate Vangl2 as a suppressor of NF-{kappa}B mediated inflammation and provide insights into the crosstalk between autophagy and inflammatory diseases.

immunology↗

bioRxiv2023

A Novel HIF-2α/ARNT Signaling Pathway Protects Against Microvascular Dysfunction and heart failure After Myocardial Infarction

Myocardial infarction (MI) significantly compromises the integrity of the cardiac microvascular endothelial barrier, leading to enhanced leakage and inflammation that contribute to the progression of heart failure. While HIF2 is highly expressed in cardiac endothelial cells (ECs) under hypoxic conditions, its role in regulating microvascular endothelial barrier function during MI is not well understood. In this study, we utilized mice with a cardiac-specific deletion of HIF2, generated through an inducible Cre (Cdh5Cre-ERT2) recombinase system. These mice exhibited no apparent phenotype under normal conditions. However, following left anterior descending (LAD) artery ligation-induced MI, they showed increased mortality associated with enhanced cardiac vascular leakage, inflammation, worsened cardiac function, and exacerbated heart remodeling. These outcomes suggest a protective role for endothelial HIF2 in response to cardiac ischemia. Parallel investigations in human cardiac microvascular endothelial cells (CMVECs) revealed that loss of ecHif2 led to diminished endothelial barrier function, characterized by reduced tight-junction protein levels and increased cell death, along with elevated expression of IL6 and other inflammatory markers. These effects were substantially reversed by overexpressing ARNT, a critical dimerization partner for HIF2 during hypoxia. Additionally, ARNT deletion also led to increased CMVEC permeability. Interestingly, ARNT, rather than HIF2 itself, directly binds to the IL6 promoter to suppress IL6 expression. Our findings demonstrate the critical role of endothelial HIF2 in response to MI and identify the HIF2/ARNT axis as a transcriptional repressor, offering novel insights for developing therapeutic strategies against heart failure following MI.

cell biology↗

bioRxiv2023

Augmentation of a neuroprotective myeloid state by hematopoietic cell transplantation

Multiple sclerosis (MS) is an autoimmune disease associated with inflammatory demyelination in the central nervous system (CNS). Autologous hematopoietic cell transplantation (HCT) is under investigation as a promising therapy for treatment-refractory MS. Here we identify a reactive myeloid state in chronic experimental autoimmune encephalitis (EAE) mice and MS patients that is surprisingly associated with neuroprotection and immune suppression. HCT in EAE mice leads to an enhancement of this myeloid state, as well as clinical improvement, reduction of demyelinated lesions, suppression of cytotoxic T cells, and amelioration of reactive astrogliosis reflected in reduced expression of EAE- associated gene signatures in oligodendrocytes and astrocytes. Further enhancement of myeloid cell incorporation into the CNS following a modified HCT protocol results in an even more consistent therapeutic effect corroborated by additional amplification of HCT-induced transcriptional changes, underlining myeloid-derived beneficial effects in the chronic phase of EAE. Replacement or manipulation of CNS myeloid cells thus represents an intriguing therapeutic direction for inflammatory demyelinating disease.

neuroscience↗

bioRxiv2023

Unfolded Protein Response Factor ATF6 Augments T Helper Cell Responses and Promotes Mixed Granulocytic Airway Inflammation

The unfolded protein response (UPR) is associated with the risk of asthma, including treatment- refractory severe asthma. Several recent studies demonstrated a pathogenic role of activating transcription factor 6 (ATF6 or ATF6), one of the essential arms of UPR, in airway structural cells. However, its role in T helper (TH) cells has not been well examined. In this study, we found that ATF6 was selectively induced by STAT6 and STAT3 in TH2 and TH17 cells, respectively. ATF6 upregulated UPR genes and promoted the differentiation and cytokine secretion of TH2 and TH17 cells. T cell-specific Atf6-deficiency impaired TH2 and TH17 responses in vitro and in vivo and attenuated mixed granulocytic experimental asthma. ATF6 inhibitor Ceapin A7 suppressed ATF6 downstream gene expression and TH cell cytokine expression in both murine and human memory CD4+ T cells. At the chronic stage of asthma, administration of Ceapin A7 lessened TH2 and TH17 responses in vivo, leading to alleviation of both airway neutrophilia and eosinophilia. Thus, our results demonstrate a critical role of ATF6 in TH2 and TH17 cell-driven mixed granulocytic airway disease, suggesting a novel option to combat steroid-resistant mixed and even T2-low endotypes of asthma by targeting ATF6.

immunology↗

bioRxiv2023

Continuous optical detection of small-molecule analytes in complex biomatrices

Current technology for measuring specific biomarkers - continuously in complex samples, without sample preparation - is limited to just handful of molecules such as glucose and blood oxygen. In this work, we present the first optical biosensor system that enables continuous detection of a wide range of biomarkers in complex samples, such as human plasma. Our system employs a modular duplex-bubble switch (DBS) architecture that converts aptamers into structure-switching fluorescence probes whose affinity and kinetics can be readily tuned. These DBS constructs are coupled to a fiber-optic detector that measures the fluorescence change only within an evanescent field, thereby minimizing the impact of background autofluorescence and enabling direct detection of analytes at physiologically relevant concentrations even in interferent-rich sample matrices. Using our system, we achieved continuous detection of dopamine in artificial cerebrospinal fluid for >24 hours with sub-second resolution and a limit of detection (LOD) of 1 {micro}M. We subsequently demonstrated the systems generalizability by configuring it to detect cortisol with nanomolar sensitivity in undiluted human plasma. Both sensors achieved LODs orders of magnitude lower than the KD of the DBS element, highlighting the potential to achieve sensitive detection even when using aptamers with modest affinity.

biophysics↗

bioRxiv2023

Bovine milk glycoproteins inhibit SARS-CoV-2 and influenza virus co-infection

The attachment of S1 subunit of spike (S) protein to angiotensin-converting enzyme 2 (ACE2) is the first and crucial step of SARS-CoV-2 infection. Although S protein and ACE2 are heavily glycosylated, the precise roles of glycans in their interactions are still unclear. Here, we profiled the glycopatterns of S1 subunit of SARS-CoV-2 and ACE2, and found that the galactosylated glycoforms were dominant in both S1 subunit and ACE2. Interestingly, S1 subunit exhibited the property of glycan-binding protein (GBP) and adhered to the ACE2 via binding to the galactosylated glycans on the ACE2. Our earlier findings demonstrated that the sialylated glycoproteins isolated from bovine milk potently inhibit and neutralize viral activity against influenza A virus (IAV). Importantly, we proved further that the galactosylated glycans on isolated glycoproteins bind to the glycan recognition domains of S1 subunit and competitively inhibit binding of S1 subunit to ACE2 and ultimately impede the entry of SARS-CoV-2 pseudovirus into host cells. We provided a potential protein drug that could be multiple simultaneous inhibitor for coronavirus and IAV co-infection.

microbiology↗

bioRxiv2023

Diffsig: Associating Risk Factors With Mutational Signatures

Somatic mutational signatures elucidate molecular vulnerabilities to therapy and therefore detecting signatures and classifying tumors with respect to signatures has clinical value. However, identifying the etiology of the mutational signatures remains a statistical challenge, with both small sample sizes and high variability in classification algorithms posing barriers. As a result, few signatures have been strongly linked to particular risk factors. Here we present Diffsig, a model and R package for estimating the association of risk factors with mutational signatures, suggesting etiologies for the pre-defined mutational signatures. Diffsig is a Bayesian Dirichlet-multinomial hierarchical model that allows testing of any type of risk factor while taking into account the uncertainty associated with samples with a low number of observations. In simulation, we found that our method can accurately estimate risk factor-mutational signal associations. We applied Diffsig to breast cancer data to assess relationships between five established breast-relevant mutational signatures and etiologic variables, confirming known mechanisms of cancer development. Diffsig is implemented as an R package available at: https://github.com/jennprk/diffsig.

cancer biology↗

bioRxiv2023

Discovery of the gut microbial enzyme responsible for bilirubin reduction to urobilinogen

The degradation of heme and the interplay of its catabolic derivative, bilirubin, between humans and their gut microbiota is an essential facet of human health. However, the hypothesized bacterial enzyme that reduces bilirubin to urobilinogen, a key step that produces the excretable waste products of this pathway, has remained unidentified. In this study, we used a combination of biochemical analyses and comparative genomics to identify a novel enzyme, BilR, that can reduce bilirubin to urobilinogen. We delineated the BilR sequences from other members of the Old Yellow Enzyme family through the identification of key residues in the active site that are critical for bilirubin reduction and found that BilR is predominantly encoded by Firmicutes in the gut microbiome. Our analysis of human gut metagenomes showed that BilR is a common feature of a healthy adult human microbiome but has a decreased prevalence in neonates and IBD patients. This discovery sheds new light on the role of the gut microbiome in bilirubin metabolism and highlights the significance of the gut-liver axis in maintaining bilirubin homeostasis.

microbiology↗

bioRxiv2023

Multimodal meta-analysis of fecal metagenomes reveals microbial single nucleotide variants as superior biomarkers for early detection of colorectal cancer

Microbial signatures show remarkable potentials in predicting colorectal cancer (CRC). This study aimed to evaluate the diagnostic powers of multimodal microbial signatures, multi-kingdom species, genes, and single-nucleotide variants (SNVs) for detecting pre-cancerous adenomas. We performed cross-cohort analyses on whole metagenome sequencing data of 750 samples via xMarkerFinder to identify adenoma-associated microbial multimodal signatures. Our data revealed that fungal species outperformed species from other kingdoms with an area under the ROC curve (AUC) of 0.71 in distinguishing adenomas from controls, while classifier based on SNVs of bacterial species displayed the strongest diagnostic capability (AUC=0.89). SNV biomarkers also exhibited outstanding performances in three independent validation cohorts (AUCs = 0.83, 0.82, and 0.76, respectively) and were highly specific to adenoma. In further support of the above results, functional analyses revealed more frequent inter-kingdom associations between bacteria and fungi, and abnormalities in quorum sensing, purine and butanoate metabolism in adenoma, which were further validated in a newly-recruited cohort via qRT-PCR. Therefore, these data extend our understanding of adenoma-associated multimodal alterations in the gut microbiome and provide a rationale of microbial SNVs for the early detection of CRC.

cancer biology↗

bioRxiv2023

BZINB model-based pathway analysis and module identification facilitates integration of microbiome and metabolome data

Integration of multi-omics data is a challenging but necessary step to advance our understanding of the biology underlying human health and disease processes. To date, investigations seeking to integrate multi-omics (e.g., microbiome and metabolome) employ simple correlation-based network analyses; however, these methods are not always well-suited for microbiome analyses because they do not accommodate the excess zeros typically present in these data. In this paper, we introduce a bivariate zero-inflated negative binomial (BZINB) model-based network and module analysis method that addresses this limitation and improves microbiome-metabolome correlation-based model fitting by accommodating excess zeros. We use real and simulated data based on a multi-omics study of childhood oral health (ZOE 2.0; investigating early childhood dental disease, ECC) and find that the accuracy of the BZINB model-based correlation method is superior compared to Spearmans rank and Pearson correlations in terms of approximating the underlying relationships between microbial taxa and metabolites. The new method, BZINB-iMMPath facilitates the construction of metabolite-species and species-species correlation networks using BZINB and identifies modules of (i.e., correlated) species by combining BZINB and similarity-based clustering. Perturbations in correlation networks and modules can be efficiently tested between groups (i.e., healthy and diseased study participants). Upon application of the new method in the ZOE 2.0 study microbiome-metabolome data, we identify that several biologically-relevant correlations of ECC-associated microbial taxa with carbohydrate metabolites differ between healthy and dental caries-affected participants. In sum, we find that the BZINB model is a useful alternative to Spearman or Pearson correlations for estimating the underlying correlation of zero-inflated bivariate count data and thus is suitable for integrative analyses of multi-omics data such as those encountered in microbiome and metabolome studies.

bioinformatics↗

bioRxiv2023

Loss of WNT5 Proteins Reprograms Neutrophils in the Spleen to Provide Protection for DSS-Induced Colitis

WNT5A and WNT5B are two close homologs, both of which are implicated in the pathogenesis of inflammatory bowel diseases. However, the roles these two proteins play in the disease remain largely uncharacterized. Here, we report that double knockout of Wnt5a and Wnt5b (Wnt5 DKO) protects mice from Dextran Sodium Sulfate (DSS)-induced colitis in mice, accompanied with greater splenomegaly, stronger expansion of peripheral myeloid cells, and less colonic CD8+ T cell granzyme B expression than those of the control mice. Depletion of neutrophils or splenectomy abrogates the phenotypic differences between Wnt5 DKO and control mice largely by exacerbating colitis phenotypes and increasing colonic CD8+ T cell GZMB expression in the Wnt5 DKO mice. In addition, neutrophils from the Wnt5 DKO colitic mice exert stronger suppression of CD8+ T cells than those from the control mice in culture. Single-cell RNA sequencing and proteomic analyses indicate that neutrophils from DSS-treated Wnt5 DKO mice are of hyper-immunosuppressive and hypo-inflammatory characteristics and are distinct from those of DSS-treated control mice as well as myeloid-derived suppressor cells in tumor-bearing mice. Thus, our study reveals that the lack of WNT5 reprograms neutrophils in spleens to limit colonic injury during DSS-induced colitis.

immunology↗