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Piao, W.

Publications and source records attributed to Piao, W..

10 recordsLinked to original sources

Transplant immunosuppressant therapies induce unique functional changes in lymph node and re-shape gut immune homeostasis

BackgroundLifelong immunosuppressive therapy is required to prevent allograft rejection in organ transplantation. Current immunosuppressants effectively suppress adaptive and innate immune responses, but their broad, antigen-non-specific effects often result in severe off-target complications. It remains a significant unmet medical need in transplant medicine. ResultsIn this study we investigated immunosuppressant effects of four major immunosuppressant classes, including tacrolimus, prednisone, mycophenolate mofetil (MMF), and fingolimod (FTY), on the gut microbiome, metabolic pathways, lymphoid architecture and lymphocyte trafficking after up to 30-day chronic exposure. Despite their distinct mechanisms of action and not designed to target the gut, all immunosuppressive drugs induced profound and time-dependent alterations in both intestine gene expression and gut microbiome composition. Progressive alterations from moderate early, drug-specific changes to a strikingly convergent microbial dysbiosis, marked by significant expansion of pathobionts of Muribaculaceae, occurred across all drug classes. Concurrently, all drugs uniformly induced significant suppression of mucosal immunity including B cell, immunoglobulin, and antigen recognition. Time-dependent changes in lymph node (LN) reorganization and cellular composition were also observed, marked by a progressive shift toward pro-inflammatory phenotypes in gut-draining mesenteric LNs and a gradual loss of tolerogenic architecture in peripheral LNs. Drug-specific metabolic alterations and distinct phases of intestinal transcriptional responses were also characterized. Notably, MMF and FTY demonstrated the most robust immunomodulatory properties, and were able to suppress alloantigen-induced inflammation through mediating regulatory T cell distribution and LN remodeling. ConclusionsTogether, these findings highlight the underappreciated complexity and temporal dynamics immunosuppressants effects, particularly their impact on the gut and compartmentalized regulation of alloimmune in lymphoid tissues. Understanding these relationships offers new opportunities for refining immunosuppressive strategies to reduce treatment-related off-target complications and improve long-term organ transplant outcomes.

immunology↗

Regulatory T cells crosstalk with tumor and endothelium through lymphotoxin signaling

Regulatory T cells (Tregs) are suppressors of anti-tumor immunity that exert multifaceted functions by signaling surrounding cells. We revealed Tregs use their high-level surface lymphotoxin (LT)1{beta}2 to preferentially stimulate LT{beta} receptor (LT{beta}R) nonclassical NF{kappa}B signaling on both tumor and lymphatic endothelial cells (LECs) to accelerate tumor growth and metastasis. Selectively targeting LT{beta}R nonclassical NF{kappa}B pathways on both tumors and LECs cocultured with Tregs, inhibited tumor growth and migration in vitro. Further, we identified protumorigenic chemokines and interferon-stimulated response genes selectively driven by LT{beta}R nonclassical NF{kappa}B in melanoma cells. Endothelial specific genes related to oncogenic process such as SOX18 and FLRT2 were identified to be driven under LT{beta}R nonclassical NF{kappa}B in LECs. Leveraging in vivo Treg LT1{beta}2 interactions with LT{beta}R on tumor and LECs, transfer of WT but not LT-deficient Tregs promoted transplanted WT B16F10 growth and tumor cell-derived CXCL1 and CXCL10 secretion in LT{beta}R-deficient host mice, and increased endothelial specific genes related to tumor angiogenesis and lymphangiogenesis, in WT mice bearing LT{beta}R-depleted melanoma. Selectively blocking LT{beta}R nonclassical NF{kappa}B pathways remarkably suppressed tumor growth and lymphatic metastasis by reducing tumor cell and LEC-derived CXCL1 and CXCL10 production, restricting Treg and myeloid-derived suppressor cell (MDSC) recruitment to tumor. It also retained intratumoral effector T cells, especially IFN{gamma}+ CD8 T cells by restraining Treg facilitated lymphatic vessel permeability. Our data revealed that Treg LT1{beta}2 promotes LT{beta}R nonclassical NF{kappa}B signaling in tumor cells and LECs providing a rational strategy to modulate Treg-mediated protumorigenic molecules to prevent tumor growth and metastasis.

cancer biology↗

Rapamycin Immunomodulation Utilizes Time-Dependent Alterations of Lymph Node Architecture, Leukocyte Trafficking, and Gut Microbiome

Transplant recipients require lifelong, multimodal immunosuppression to prevent rejection by reducing alloreactive immunity. Rapamycin, a mechanistic target of rapamycin (mTOR) inhibitor, is known to modulate adaptive and innate immunity, while the full spectrum of its immunosuppressive mechanisms remains incompletely understood. Given the broad expression of mTOR, we investigated the understudied effects of rapamycin on lymph node (LN) architecture, leukocyte trafficking, and the gut microbiome and metabolism after 3, 7, and 30 days of rapamycin treatment, to characterize the early, intermediate, and late changes. Rapamycin significantly reduced CD4+ T cells, CD8+ T cells, and regulatory T (Treg) cells in peripheral LNs, mesenteric LNs, and the spleen over time. Rapamycin induced early pro-inflammation transition to pro-tolerogenic status, by modulating the LN laminin 4:5 expression ratios through LN stromal cells laminin 5 expression and by adjusting Treg numbers and distribution. Additionally, rapamycin significantly altered gut microbiota composition and metabolic functions, shifting the Bacteroides to Firmicutes ratio and increasing amino acid bioavailability in the gut lumen. These effects were evident by 7 days and became most pronounced by 30 days in naive mice, with notable changes as early as 3 days in allogeneic splenocyte-stimulated mice. These findings reveal a novel mechanism of rapamycins action through time-dependent modulation of LN architecture and gut microbiome, which orchestrates changes in immune cell trafficking, providing a new framework for understanding and optimizing immunosuppressive therapies.

immunology↗

CircRNA-Pro: A Novel Toolkit for High-Precision Detection of Differentially Expressed Circular RNAs and Translatable Circular RNAs

With the increasing discovery of circular RNAs (circRNAs) and their critical roles in gene regulation and disease progression, there is a growing need for more accurate and efficient tools for circRNAs research. In response, we have developed an integrated software suite specifically for circRNAs. This all-in-one tool specializes in detecting differentially expressed circRNAs, including those with the potential to be translated into proteins, and allows for comparing against relevant databases, thereby enabling comprehensive circRNA profiling and annotation. To enhance the accuracy in detecting differentially expressed circRNAs, we incorporated three different software algorithms and cross-validated their results through mutual verification. Additionally, this toolkit improves the effectiveness in identifying translatable circRNAs by optimizing Ribo-seq alignment and verifying against public circRNA databases. The performance of circRNA-pro has been evaluated through its application to public RNA-seq and Ribo-seq datasets on breast cancer and SARS-CoV-2 infected cells, and the results obtained have been validated against previous literature and databases. Overall, our integrated toolkit provides a reliable workflow for circRNA research, facilitating insights into their diverse roles across life sciences.

bioinformatics↗

Chrom-pro: A User-Friendly Toolkit for De-novo Chromosome Assembly and Genomic Analysis

Chromosome-level genome assembly is fundamental to current genomic and post-genomic research, however, the process remains complicated and challenging due to the lack of a standardized automatic workflow. The frequently-used method for high-quality genome assembly generally employs second-generation sequencing (SGS) low error reads, third-generation sequencing (TGS) long reads and Hi-C reads. In this study, we developed a multifunctional toolkit called Chrom-pro that integrated commonly-used algorithms for de novo chromosome-level genome assembly with above three data sets into a user-friendly, automatic workflow. Besides chromosome assembly, Chrom-pro also encompasses multiple functionalities for genome quality assessment, comparative genomic analysis, and structural variant detection, which offers substantial support for downstream research. To evaluate the performance of Chrom-pro software, we tested the software with publicly available sequencing data of mango, pufferfish, and plum, and the excellence was confirmed by achieving a BUSCO completeness score of over 95% as well as high collinearity with the reference genome. Furthermore, we applied Chrom-pro to investigating the impact of different internal algorithm options on the accuracy of chromosome assembly, providing guidance for advancing relevant research in the future. Overall, the development of Chrom-pro will significantly improve the efficiency and quality of chromosome assembly and contributing to the advancement of genomic research.

bioinformatics↗

Chlomito: a novel tool for precise elimination of organelle genome contamination in nuclear genome assemblies

Accurate genome assemblies are crucial for understanding biological evolution, mechanisms of disease, and biodiversity. However, contamination from organelle genomes in nuclear genome analyses often leads to inaccuracies and unreliability in results. To address this issue, we developed a tool named Chlomito, which employs innovative algorithms to precisely identify and eliminate organelle genome contamination sequences from nuclear genome assemblies. Compared to conventional approaches, Chlomito can not only detect and eliminate organelle sequences but also effectively distinguish true organelle sequences from those transferred into the nucleus via horizontal gene transfer. To evaluate the accuracy of Chlomito, we conducted tests using sequencing data from Plum and Mango. The results confirmed that Chlomito can accurately detect contigs originating from the organelle genome, and the identified contigs covered most regions of the organelle reference genomes, demonstrating its efficiency and precision in comprehensively recognizing organelle genome sequences. Additionally, for user convenience, we packaged this method into a Docker image, simplifying the data processing workflow. Overall, Chlomito provides a highly efficient and accurate method for identifying and removing contigs derived from organelle genomes in genomic assembly data, thereby contributing to the improvement of genome assembly quality and advancing research in genomics and evolutionary biology.

bioinformatics↗

Identification of RNA-Binding Protein Targets with HyperTRIBE in Saccharomyces cerevisiae

As a mater regulator in cells, RNA-binding protein (RBP) plays critical roles in organismal development, metabolism and various diseases. It controls gene expression at multiple levels mostly by specific recognition of target RNA. The traditional CLIP-seq method to detect transcriptome-wide RNA targets of RBP is less efficient in yeasts due to their cell walls. Here, we established an efficient HyperTRIBE (Targets of RNA-binding proteins Identified By Editing) in yeast, by fusing a RBP to the hyper active catalytic domain of human RNA editing enzyme ADAR2 and expressing the fusion protein in yeast cells. The target transcripts of RBP were marked with new RNA editing events and identified by high-throughput sequencing. We successfully applied TRIBE to identifying the RNA targets of two yeast RBPs, KHD1 and BFR1. The antibody-free HyperTRIBE has competitive advantages including low background, high sensitivity and reproducibility, and a simple library preparation procedure, which provides a reliable strategy for RBP target identification in Saccharomyces cerevisiae.

molecular biology↗

The Role of Terminal Uridyl Transferases in the Circadian Rhythm

The 3 terminal oligo-uridylation, a post-transcriptional mRNA modification, is conserved among eukaryotes and drives mRNA degradation, thereby affecting several key biological processes such as animal development and viral infection. Our TAIL-seq experiment of mouse liver mRNA collected from six zeitgeber times reveals transcripts with rhythmic poly(A) tail lengths and demonstrates that overall 3 terminal uridylation frequencies at mRNA poly(A) tail very-ends undergo rhythmic change. Consistently, major terminal uridylyl transferases, TUT4 and TUT7, have cycling protein expression in mouse liver corresponding to 3 terminal uridylation rhythms, indicating that the cycling expression of TUTases correlates with the rhythmic pattern of uridylation. Furthermore, the double knockdown of TUT4 and TUT7 in U2OS cells lengthens the circadian period and decreases the rhythmic amplitude of clock gene expression. Our work thoroughly profiles the dynamic changes in poly(A) tail lengths and terminal modifications and uncovers uridylation as a post-transcriptional modulator in the mammalian circadian clock.

molecular biology↗

Early immunomodulatory program triggered by pro-tolerogenic Bifidobacterium pseudolongum drives cardiac transplant outcomes

BackgroundDespite ongoing improvements in regimens to prevent allograft rejection, most cardiac and other organ grafts eventually succumb to chronic vasculopathy, interstitial fibrosis, or endothelial changes, and eventually graft failure. The events leading to chronic rejection are still poorly understood and the gut microbiota is a known driving force in immune dysfunction. We previously showed that gut microbiota dysbiosis profoundly influences the outcome of vascularized cardiac allografts and subsequently identified biomarker species associated with these differential graft outcomes. MethodsIn this study, we further detailed the multifaceted immunomodulatory properties of pro-tolerogenic and pro-inflammatory bacterial species over time, using our clinically relevant model of allogenic heart transplantation. ResultsIn addition to tracing longitudinal changes in the recipient gut microbiome over time, we observed that Bifidobacterium pseudolongum (Bifido) induced an early anti-inflammatory phenotype within 7 days, while Desulfovibrio desulfuricans (Desulfo) resulted in a pro-inflammatory phenotype, defined by alterations in leukocyte distribution and lymph node (LN) structure. Indeed, in vitro results showed that Bifido and Desulfo acted directly on primary innate immune cells. However, by 40 days after treatment, these two bacterial strains were associated with mixed effects in their impact on LN architecture and immune cell composition and loss of colonization within gut microbiota, despite protection of allografts from inflammation with Bifido treatment. ConclusionsThese dynamic effects suggest a critical role for early microbiota-triggered immunological events such as innate immune cell engagement, T cell differentiation, and LN architectural changes in the subsequent modulation of pro-tolerant versus pro-inflammatory immune responses in organ transplant recipients.

immunology↗

Strain-specific alterations in gut microbiome and host immune responses elicited by Bifidobacterium pseudolongum

The beneficial effects attributed to Bifidobacterium are thought to arise from their host immunomodulatory capabilities, which are likely to be species- and even strain-specific. However, their strain-specificity in direct and indirect immune modulation remain largely uncharacterized. We have shown that B. pseudolongum UMB-MBP-01, a murine isolate, is capable of suppressing inflammation and reducing fibrosis in vivo. To ascertain the mechanism driving this activity and to determine if it is specific to UMB-MBP-01, we compared it to B. pseudolongum type strain ATCC25526 of porcine origin using a combination of in vitro and in vivo experimentation and comparative genomics approaches. Despite many shared features, we demonstrate that these two strains possess distinct genetic repertoires in carbohydrate assimilation, differential activation signatures and cytokine responses in innate immune cells, and differential effects on lymph node morphology with unique local and systemic leukocyte distribution. Importantly, the administration of each B. pseudolongum strain resulted in major divergence in the structure, composition, and function of gut microbiota. This was accompanied by markedly different changes in intestinal transcriptional activities, suggesting strain-specific modulation of the endogenous gut microbiota as a key to host responses of immune modulation and changes in intestinal B. pseudolongum strains. These observations highlight the importance of strain-specificity characteristics of Bifidobacterium for prophylactic supplementation for immune modulation and advance our understanding of the mechanisms which drive the association between Bifidobacterium and health benefit.

microbiology↗