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Biology subjects

Xu, Y.

Publications and source records attributed to Xu, Y..

At least 289 records · Page 16Linked to original sources

Quantifying the Cooperativity of Backbone Hydrogen Bonding

The hydrogen bonds (H-bonds) between backbone amide and carbonyl groups are fundamental to the stability, structure, and dynamics of proteins. A key feature of such hydrogen bonding interactions is that multiple H-bonds can enhance each other when aligned, as such in the -helix or {beta} -sheet secondary structures. To better understand this cooperative effect, we propose a new physical quantity to evaluate the cooperativity of intermolecular interactions. Using H-bond aligned N-methylacetamide molecules as the model system, we assess the cooperativity of protein backbone hydrogen bonds using quantum chemistry (QM) calculations at the MP2/aug-cc-pVTZ level, revealing cooperative energies ranging from 2 to 4.3 kcal/mol. A set of protein force fields was benchmarked against QM results. While the additive force field yielded null cooperativity, polarizable force fields, including the Drude and AMOEBA protein force fields, have been found to reproduce the trend of QM results, albeit with smaller magnitude. This work demonstrates the theoretical utility of the proposed formula for quantifying cooperativity and its relevance in force field parameterization. Incorporating cooperative energy into polarizable models presents a pathway to achieving more accurate simulations of biomolecular systems.

biophysics↗

Deciphering complex interactions between LTR retrotransposons and three Papaver species using LTR_Stream

Long terminal repeat retrotransposons (LTR-RTs), a major type of class I transposable elements (TEs), are the most abundant repeat element in plants. The study of the interactions between LTR-RTs and the host genome relies on high-resolution characterization of LTR-RTs. However, for non-model species, this remains a challenge. To address this, we developed LTR_Stream for sub-lineage clustering of LTR-RTs in specific or closely related species, providing higher precision than current database-based lineage-level clustering. Using LTR_Stream, we analyzed Retand LTR-RTs in three Papaver species. Our findings show that high-resolution clustering reveals complex interactions between LTR-RTs and the host genome. For instance, we found autonomous Retand elements could spread among the ancestors of different subgenomes, like retroviruses pandemics, enriching genetic diversity. Additionally, we identified that specific truncated fragments containing transcription factors motifs such as TCP and bZIP may contribute to generation of novel TAD-like boundaries. Notably, our pre- and post-allopolyploidization comparisons show that these effects diminished after allopolyploidization, suggesting that allopolyploidization may be one of the mechanisms by which Papaver species cope with LTR-RTs. We demonstrated the potential application of LTR_Stream and provided a reference case for studying the interactions between LTR-RTs and the host genome in non-model plant species.

bioinformatics↗

Pre-Clinical Evaluation of a Novel Immunomodulator: a potential immunotherapy for coronaviral disease

At present, no unifying animal study to quantify the effect of PI on innate immunity in animals has been reported. This study quantifies the effect of PI in mice and THP-1 cells using a multi-disciplinary approach employing flow cytometry to measure immune function and mass spectroscopy to identify metabolomic profiles of treated cells. For proof of principle, a case study was conducted to examine the potential benefit of administering PI to improve outcomes of a feline leukemia-positive cat that also contracted the effusive form of FIP. Our results indicate that quantifiable cellular and metabolic markers result from PI treatment and can be used to establish a platform measuring the efficacy of PI in modulating the innate immune system.

cell biology↗

HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps

Diverse cell types within a tissue assemble into multicellular structures to shape the functions of the tissue. These structural modules typically comprise specialized subunits, each performing unique roles. We present HRCHY-CytoCommunity, a graph neural network-based framework that leverages differentiable graph pooling and graph pruning to identify hierarchical multicellular structures in cell phenotype-annotated single-cell spatial maps. HRCHY-CytoCommunity ensures the robustness of the result by employing a hierarchical majority voting strategy. To extend the utility of HRCHY-CytoCommunity in cross-sample comparative analysis, an additional cell-type enrichment-based clustering can be used to generate a unified set of nested multicellular structures across all tissue samples. Using single-cell-resolution spatial proteomics and transcriptomics data, we demonstrate that HRCHY-CytoCommunity outperforms the existing state-of-the-art method in discerning coarse-grained tissue compartments (TCs) and fine-grained tissue cellular neighborhoods (TCNs). To further validate the utility of multi-level nested multicellular structures, we apply HRCHY-CytoCommunity to breast cancer data with clinical information and reveal that large-scale TCs and small-scale TCNs enable the stratification of patients with different prognoses in a hierarchical manner.

bioinformatics↗

Effects of genomic location on ectopic integration and gene expression of a reporter gene cassette in Sulfolobus acidocaldarius

In eukaryotes and bacteria, it is well-established that the genomic location of ectopic gene integration influences the expression level due to replication-associated gene dosage effects as well as effects mediated by chromatin organization. In contrast, in archaea, the impact of genomic location on gene expression remained unexplored. Here, we investigated this impact in the model archaeon Sulfolobus acidocaldarius, a crenarchaeal species that has a chromatin architecture with mixed eukaryotic-like and bacterial-like features. We aimed to integrate a standardized {beta}-galactosidase (lacS) reporter cassette into diverse loci in the genome of S. acidocaldarius SK-1 for a comparative analysis. Nine integration mutant strains were successfully obtained, for which qRT-PCR analysis and lacS reporter gene assays revealed significant variation in transcriptional and translational expression of the reporter, respectively, demonstrating that genomic location strongly influences gene expression in S. acidocaldarius. However, variability in transcription levels and its regulation was shown to be primarily driven by transcriptional activity of neighboring genes, due to the high coding density in the S. acidocaldarius genome as well as a lack of insulator elements. Interestingly, translational activity exhibited a more apparent correlation with the distance to the closest origin of replication (R2 = 0.432) as compared to transcriptional activity (R2 = 0.026). In conclusion, this study not only provides insights into genome context effects, but also provides inspiration for the future design of genomic knock-in constructions in S. acidocaldarius.

microbiology↗

Androgen Deprivation-Induced TET2 Activation Fuels Prostate Cancer Progression via Epigenetic Priming and Slow-Cycling Cancer Cells

Advanced prostate cancer (PCa) frequently develops resistance to androgen deprivation therapy through various mechanisms including lineage plasticity. Slow-cycling cells (SCCs) have emerged as key players in adaptive responses to therapy, yet their role in PCa remains unclear. Through in silico analysis of single-cell RNA sequencing (scRNA-seq) data, we discovered that SCCs are enriched during pivotal stages of PCa progression, including the transition from androgen-dependent to castration-resistant states and the emergence of neuroendocrine PCa (NEPC). Using a tetracycline-inducible H2BeGFP reporter system, we confirmed SCC enrichment following androgen deprivation in both in vitro and in vivo models. Furthermore, we identified TET2 as a key regulator of SCCs, with its expression upregulated by androgen deprivation and positively correlated with SCC signature scores in PCa. Genome-wide 5-hydroxymethylcytosine (5hmC) profiling revealed increased hydroxymethylation after androgen deprivation, while TET2 knockdown reduced 5hmC levels at specific loci. Functional studies demonstrated that TET2 governs SCC maintenance, cell cycle progression, and DNA damage repair. Targeting TET2, either alone or in combination with an ATM inhibitor, significantly suppressed tumor growth, highlighting TET2 as a promising therapeutic target. Our study provides the first single-nucleotide resolution map of 5hmC dynamics in PCa, identifies a cell state driving epigenetic rewiring, and underscores the transformative potential of novel therapeutic strategies for advanced PCa.

cancer biology↗

Alectinib enhances response to RBM39 degradation via SRPK1 inhibition

Precise control of pre-mRNA splicing is critical for transcriptome integrity, and its disruption is increasingly recognised as a vulnerability in cancer. Here, we identify a functional interplay between two key splicing regulators, RBM39 and serine/arginine protein kinase 1 (SRPK1), and show that dual targeting of these factors severely compromises splicing fidelity in high-risk neuroblastoma. We use the molecular glue indisulam to degrade RBM39 and repurpose the clinical ALK inhibitor alectinib which potently inhibits SRPK1. Co-treatment with indisulam and alectinib inhibited cell proliferation, induced apoptosis, and caused G2/M arrest in multiple cancer cell lines, including MYCN-amplified neuroblastoma. RNA sequencing revealed enhanced splicing defects preferentially in DNA repair and genome maintenance related genes following combination treatment, leading to R-loop accumulation and increased DNA damage. In the Th-MYCN/ALKF1174L neuroblastoma mouse model, combination therapy induced complete tumour regression and significantly improved survival rates compared with monotherapies. These findings demonstrate that combining indisulam and alectinib is a promising approach to treat aggressive malignancies such as high-risk neuroblastoma, exploiting the previously untapped polypharmacology of alectinib as a clinical RNA splicing inhibitor and supporting the therapeutic value of co-targeting interdependent splicing factors for synergistic benefit.

cancer biology↗

Critical Environmental Limits: Assessing the Limitations of Core Temperature Inflection Point (CTIP) and Biophysical Modeling

The Core Temperature Inflection Point (CTIP) method and biophysical modeling are widely used to determine critical environmental limits (CEL), yet their validity under prolonged heat exposure remains untested. This study evaluated their predictive accuracy by exposing 36 healthy young adults (20 males, 16 females; age: 20.9-22.4 yr) to five counterbalanced 8-hour heat trials in a controlled chamber (36{degrees}C/74.5% RH, 40{degrees}C/55.0% RH, 44{degrees}C/29.2% RH, 47{degrees}C/35.6% RH, 50{degrees}C/24.5% RH). These conditions were selected based on prior CTIP and biophysical model predictions of CELs. Participants engaged in sedentary office tasks (1.29- 1.67 METs), wore standardized summer clothing (0.39-0.40 clo), and had ad libitum access to an electrolyte drink, with a 500-kcal sandwich provided at midday. Rectal temperature (Trec) was continuously monitored. Contrary to CTIP and biophysical model predictions, all five conditions remained compensable (Trec rise rate [&le;] 0.1{degrees}C/h), with mean peak Trec staying well below heatstroke thresholds (38.2 {+/-} 0.4{degrees}C). At 44{degrees}C/29.2% RH, females had significantly lower Trec than males (p < 0.05), but steady-state Trec responses were similar between sexes (all p > 0.10). Collectively, CTIP and biophysical models substantially underestimated CELs, leading to overpredicted heat risk across all trials. These findings challenge the reliability of current predictive methods, suggesting human tolerance may exceed existing estimates. Refining these models is essential for improving heat risk assessment during real-world heatwaves and informing public and occupational health guidelines in a warming climate. NEW & NOTEWORTHYThis study demonstrates that healthy young adults maintained heat balance over 8 hours across five extreme heat conditions (36-50{degrees}C), despite the Core Temperature Inflection Point (CTIP) method and biophysical modeling predicting uncompensability. These findings challenge the reliability of these tools for assessing prolonged heat exposure, highlighting the need for refined models to accurately predict critical environmental limits in real-world scenarios, such as extreme heatwaves.

physiology↗

Acquired resistance to sotorasib in mutant NSCLC is vulnerable to PI3K-mTOR pathway inhibition mediated by 4E-BP1 regulator of cap-dependent translation

Sotorasib and adagrasib have shown significant efficacy in KRASG12C mutant NSCLC; however, acquired resistance (AR) occurs within 6-12 months. While some resistance arises from new mutations, over half of the resistant cases lack identifiable genomic alterations. We hypothesize that resistance is driven by signaling network rewiring, creating new therapeutic vulnerabilities. To investigate AR mechanisms, multiple AR models, including cell lines, PDXs, CDXs, and PDXOs, were developed. H23AR and H358AR cells displayed >600-fold and 200-fold; and PDXO303AR and PDXO314AR organoids exhibited >300-fold and >100-fold resistance to sotorasib, respectively; however, no additional mutations in KRAS or other potential genetic alterations were identified. The AR cells and PDXOs also showed comparable resistance to adagrasib. Distinct protein signatures associated with KRAS reactivation, mTORC1 signaling upregulation, and PI3K/AKT/mTOR pathway activation were identified in TC303AR & TC314AR PDXs. PI3K protein levels were significantly elevated in AR PDXs, H23AR, and H358AR cells. Pharmacological inhibition of PI3K with copanlisib or genetic knockout via CRISPR-Cas9 restored sotorasib sensitivity, suppressed colony formation, and inhibited downstream effectors, including p-AKT, p-mTOR, p-S6, p70S6K, p-GSK3{beta}, and p-PRAS40 in AR cells. Copanlisib also sensitized both acquired and primary resistant PDXOs and synergized with sotorasib in restoring drug sensitivity. p4E-BP1 was significantly upregulated in H23AR and H358AR cells, which is suppressed by copanlisib. The level of p4E-BP1 expression was correlated with Sotorasib sensitivity in PI3K knockout clones, where the most sensitive clone displayed reduced or no p4E-BP1 expression. CRISPR-Cas9-mediated knockout of 4E-BP1, either alone or in combination with PI3K knockout, dramatically restored sotorasib sensitivity to levels comparable to parental cells. Suppression of 4E-BP1 hyperphosphorylation required dual inhibition of mTORC1 and mTORC2, and treatment with AZD8055 or sapanisertib (mTORC1/2 dual inhibitors) significantly dephosphorylated 4E-BP1 and restored sotorasib sensitivity in resistant cells and PDXOs. In PDX, CDX, and xenograft models in vivo, the combination of sotorasib with either copanlisib or sapanisertib resulted in robust, synergistic, and durable tumor regression at well-tolerated doses. These findings showed the critical role of PI3K/mTOR signaling as a bypass mechanism of resistance to KRASG12C inhibitors. We conclude that mTORC1/2 mediated inhibition of p4E-BP1 and combination strategies targeting this pathway effectively overcome acquired resistance to KRASG12C inhibitors in NSCLC.

cancer biology↗

Interleaving asynchronous and synchronous activity in balanced cortical networks with short-term synaptic depression

Cortical populations are in a broadly asynchronous state that is sporadically interrupted by brief epochs of coordinated population activity. Cortical models are at a loss to explain this combination of states. At one extreme are network models where recurrent inhibition dynamically stabilizes an asynchronous low activity state. While these networks are widely used, they cannot produce the coherent population-wide activity that is reported in a variety of datasets. At the other extreme are models in which strong recurrent excitation that is quickly tamed by short term synaptic depression between excitatory neurons leads to short epochs of population- wide activity. However, in these networks, inhibition plays only a perfunctory role in network stability, which is at odds with many reports across cortex. In this study we analyze spontaneously active in vitro preparations of primary auditory cortex that show dynamics that are emblematic of this mixture of states. To capture this complex population activity we use firing rate-based networks as well as biologically realistic networks of spiking neuron models where large excitation is balanced by recurrent inhibition, yet we include short-term synaptic depression dynamics of the excitatory connections. These models give very rich nonlinear behavior that mimics the core features of the in vitro data, including the possibility of low frequency (2-12 Hz) rhythmic dynamics within population events. In these networks, synaptic depression enables activity fluctuations to induce a weakening of inhibitory recruitment, which in turn triggers population events. In sum, our study extends balanced network models to account for nonlinear, population-wide correlated activity, thereby providing a critical step in a mechanistic theory of realistic cortical activity.

neuroscience↗

Visible-Light-Controlled Residue-Selective Cross-Linking for Deciphering Protein Complexes and Dynamic Protein-Protein Interactions in Live Cells

Cross-linking mass spectrometry (XL-MS) has emerged as an attractive technology for investigating protein complexes and protein-protein interactions (PPIs). However, commonly used cross-linking strategies present significant challenges for precise analysis of protein complexes and dynamic PPIs in native biological environments. Here we present the visible-light-controlled lysine-selective cross-linking (VL-XL) strategy for in-depth analysis of protein complexes and dynamic PPIs both in vitro and in live cells, building on light-induced primary amines and o-nitrobenzyl alcohols cyclization (PANAC) chemistry. We demonstrate that the VL-XL strategy effectively explores the dynamic dimerization of PD-L1 stimulated by exogenous modulators. Moreover, the VL-XL strategy successfully profiles the time-resolved EGF-stimulated EGFR interactome, providing valuable insights into the regulatory mechanisms of EGFR signaling and intracellular trafficking. Importantly, the VL-XL strategy efficiently deciphers the molecular glue (MG) induced dynamic PPIs and substrate profile of MG degrader, opening an innovative avenue for identifying neo-substrates. By harnessing the advantages of temporal controllability, good biocompatibility, and lysine selectivity, the VL-XL method simplifies MS data analysis and facilitates the acquisition of accurate structural information of protein complexes and the elucidation of elusive PPIs in live cells. Overall, the VL-XL strategy expands the XL-MS toolbox, and realizes in-depth analysis of protein complexes and dynamic PPIs, which will inspire innovative solutions for protein interactomes research and structural systems biology.

biochemistry↗

Global Skeletal Muscle Metabolomics Reveals Mechanisms Behind Higher Response to Resistance Training in Older Adults

To understand the mechaisnm behind high respond (HighR) compared to low respond (LowR) to resistnace training (RT) and whey protein supplementation (20g/day), we analysied vastus laterails muscle biopsies from a total of 50 participants. Utilising the MRI muscle cross-sectional area (CSA) data, we defined responders as those who had hypertrophy exceeding the 1.7% method error. Quadriceps CSA in the lower responder (LowR) (n=25, mean age 69{+/-}5 years) and HighR (n=25, mean age 67{+/-}4 years) increased from 53.6 {+/-} 12.1 cm2 to 55.4 {+/-} 12.8 cm2 after 10 weeks of RET (3.3 {+/-} 1.7%, P < 0.001) and increased the absolute CSA in the higher responders (HighR) from 53.7 {+/-} 12.5 cm2 to 59.2 {+/-} 13.6 cm2 (10.3 {+/-} 2.0%, P < 0.001). Muscle biopsies were taken from the vastus lateralis before and after RT. We performed untargeted liquid chromatography-mass spectrometry metabolomics to investigate changes in muscle metabolic regulation. The partial least squares discriminant analysis (PLS-DA) yielded the best results using the polar extracts, achieving a 75% average correct classification rate for predicting HighR and LowR. There was no signifncat differences in metabolomic profile at the basline. Our findings revealed several metabolic pathways, including branched-chain amino acid catabolism, tryptophan metabolism (indole and kynurenine pathways), the TCA cycle, gut-derived metabolites, carnitine shuttle metabolism as prominent pathways disrupted in LowR. We provide new insights and has the potential to identify and enhance interventions targeting muscle metabolism, ultimately improving muscle mass and strength to reduce the risk of sarcopenia and frailty in older age.

systems biology↗

Phenotypic pleiotropy of missense variants in human B cell-confinement receptor P2RY8

Missense variants can have pleiotropic effects on protein function and predicting these effects can be difficult. We performed near-saturation deep mutational scanning of P2RY8, a G-protein-coupled receptor that promotes germinal center B cell confinement. We assayed the effect of each variant on surface expression, migration, and proliferation. We delineated variants that affected both expression and function, affected function independently of expression, and discrepantly affected migration and proliferation. We also used cryo-electron microscopy to determine the structure of activated, ligand-bound P2RY8, providing structural insights into the effects of variants on ligand binding and signal transmission. We applied the deep mutational scanning results to both improve computational variant effect predictions and to characterize the phenotype of germline variants and lymphoma-associated variants. Together, our results demonstrate the power of integrating deep mutational scanning, structure determination, and in silico prediction to advance the understanding of a receptor important in human health.

genomics↗

PRRSV evades innate immune cGAS-STING antiviral function via its Nsp5 to deter STING translocation and activation

Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is an important pathogen that seriously endangers pig breeding, causing significant economic losses to the global swine industry. Our previous study found that the DNA sensing innate cGAS-STING signaling pathway plays an important role in inducing interferon (IFN) upon PRRSV infection and inhibition of PRRSV replication. However, the immune evasion and its mechanism by PRRSV is still unclear. In current study, we found that PRRSV Non-structural protein 5 (Nsp5) strongly inhibits the cGAS-STING-IFN antiviral response. Further, we found that Nsp5 interacts with STING, blocking STING transport from ER to Golgi apparatus and interfering with STING recruitment of TBK1/IKK{varepsilon}/IRF3. Finally, we demonstrated that the Nsp5 36-47 and 58-67 amino acid regions are critical regions for inhibiting STING activity and PRRSV replication. The study describes a novel mechanism by PRRSV for suppression of the host innate antiviral response and have implications for our understanding of PRRSV pathogenesis. Author summaryThe innate immune system is the first line of host defense against infections. PRRSV is an immunosuppressive pathogen that has developed different strategies to evade the host innate immune responses. Here, we demonstrate for the first time that PRRSV utilizes its non-structural protein Nsp5 to inhibit the innate immune cGAS-STING-IFN signaling pathway, promoting the viral replication. Nsp5 can inhibit the cGAS-STING pathway by interacting with STING, blocking STING transport from ER to Golgi apparatus and interfering with STING recruitment of TBK1/IKK{varepsilon}/IRF3. In particular, the 36-47 and 58-67 amino acid regions of the Nsp5 is indispensable. This information will help us understand PRRSV-host interactions and provides new insights into the prevention and control of PRRSV.

immunology↗

Plug-and-play assembly of biodegradable ionizable lipids for potent mRNA delivery and gene editing in vivo

mRNA-based gene editing therapeutics offer the potential to permanently cure diseases but are hindered by suboptimal delivery platforms. Here, we devise a robust combinatorial chemistry for plug-and-play assembly of diverse biodegradable ionizable lipids and identify a lead candidate that produces superior lipid nanoparticles for various gene editing tools delivery in vivo. Our study highlights the utility of this synthetic approach and the generality of this platform for potent in vivo gene editing.

bioengineering↗

Kinetic control of mammalian transcription elongation

Transcription elongation by RNA polymerase II is an integral step in eukaryotic gene expression. The speed of Pol II is controlled by a multitude of elongation factors, but the regulatory mechanisms remain incompletely understood, especially for higher eukaryotes. In this work, we developed a single-molecule platform to visualize the dynamics of individual mammalian transcription elongation complexes (ECs) reconstituted from purified proteins. This platform enabled us to follow the elongation and pausing behavior of EC in real time and dissect the role of each elongation factor in the kinetic control of Pol II. We found that the mammalian EC harbors multiple gears dictated by its associated factors and phosphorylation status. Moreover, the elongation factors are not functionally redundant but act hierarchically and synergistically to achieve optimal elongation activity. Such exquisite kinetic regulation may underline the major speed-changing events during the transcription cycle and enable cells to adapt to a changing environment.

molecular biology↗

Glycogen Engineering Improves the Starvation Resistance of Mesenchymal stem cells and their Therapeutic Efficacy in Pulmonary Fibrosis

Mesenchymal stem cells (MSCs) are widely used in regenerative medicine, including the treatment of pulmonary fibrosis. However, implanted MSCs disappear within days, constraining therapeutic efficacy, which is largely attributed to nutrient deprivation. In this study, we established glycogen metabolism engineering strategies in mammalian cells. By expressing a functionally optimized glycogen synthase (GYSmut), MSCs could accumulate large amounts of glycogen rapidly as a reserve substance. Glycogen engineering significantly improved the survival of MSCs during starvation both in vitro and in vivo, enhancing cell viability post-implantation and their therapeutic efficacy in pulmonary fibrosis. Glycogen-engineered MSCs may serve as chassis cells for further applications. Our research highlights the importance of glucose metabolism regulation in cell-based therapy and demonstrates the great potential for the metabolic engineering of MSCs and other therapeutic cells.

bioengineering↗

Analysis of SFTS pathogenesis based on single-cell RNA sequencing of monocytes

BackgroudSevere fever with thrombocytopenia syndrome (SFTS) is a newly identified tick-borne viral disease with a high mortality rate. Monocytes are known to play an important role in the pathogenesis of SFTS, but the distinct subpopulations of monocytes associated with the disease progression and their roles in inflammatory responses remain unclear. In this study, we used single-cell RNA sequencing (scRNA-seq) to explore the specific monocyte subpopulations correlated with the progression of SFTS and their involvement in inflammatory processes. MethodsscRNA-seq analysis was conducted on isolated monocytes from seven SFTS patients, validated by cell identification through flow cytometry. Comparative analyses were performed using three normal monocyte samples from public databases. Bioinformatic tools including Cell Ranger, Seurat, Monocle 2, GSEA, and SCENIC were utilized to identify distinct cell populations and transcriptional patterns. ResultsOur results indicate that severe SFTS patients in the ICU exhibited a reduced proportion of circulating HLA-DR+CD14+ monocytes compared to non-severe hospitalized SFTS patients, indicating a dysfunctional immune response. Increased numbers of CD163+CD14+ monocytes in acute SFTS patients correlated with disease severity. CD163+CD14+ monocytes were identified as potential target cells for SFTSV infection. SFTSV infection could drive monocyte differentiation into the M2 phenotype, promoting virus persistence and disease advancement. ConclusionOur studies in SFTS patients have shown that monocytes are target cells for SFTSV. Notably, an expansion of CD163+CD14+ monocytes in SFTS has been shown to be associated with severe clinical disease. In addition, activated IL-6/JAK/STAT3 signaling in SFTS patients induced CD163+CD14+ monocyte expansion, which was recovered by tofacitinib treatment.

microbiology↗