Ratiometric surface-enhanced Raman spectroscopy detection of 5-hydroxyindole-3-acetic acid based on Au@MIL-125@MIPs substrates.

5-Hydroxyindole-3-acetic acid (5-HIAA) is a molecular marker that can be used in the early diagnosis of carcinoid tumors, and the development of sophisticated 5-HIAA assays is therefore of great importance. Surface-enhanced Raman spectroscopy (SERS) has been widely used for the rapid and sensitive detection of disease biomarkers. Insufficient specificity for tumor markers and poor spectral reproducibility are the bottlenecks in the practical use of SERS technology. In this study, based on MIL-125 surface-loaded gold nanoparticles (Au@MIL-125), a novel strategy was proposed to obtain Au@MIL-125@molecularly imprinted polymers (MIPs) as functional SERS substrates by wrapping a thin MIP shell around the Au@MIL-125 surface for selective separation followed by a 5-HIAA assay. The Raman peak intensity ratio (I865/I1078) was used to quantify 5-HIAA after a SERS spectral calibration with an embedded internal standard (i.e., 4-aminobenzenethiol) to improve the quantitative accuracy. The linear range was from 10-11 to 10-7 M, and the limit of detection (LOD) was 5.45 × 10-13 M. The method of integrating the MIPs with the metal MOF-based nanocomposites was shown to be useful in the analysis of real samples using SERS. The application of SERS for the selective and quantitative detection of analytes in real sample analysis, therefore, has great potential.

MultiSC: a deep learning pipeline for analyzing multiomics single-cell data.

Single-cell technologies enable researchers to investigate cell functions at an individual cell level and study cellular processes with higher resolution. Several multi-omics single-cell sequencing techniques have been developed to explore various aspects of cellular behavior. Using NEAT-seq as an example, this method simultaneously obtains three kinds of omics data for each cell: gene expression, chromatin accessibility, and protein expression of transcription factors (TFs). Consequently, NEAT-seq offers a more comprehensive understanding of cellular activities in multiple modalities. However, there is a lack of tools available for effectively integrating the three types of omics data. To address this gap, we propose a novel pipeline called MultiSC for the analysis of MULTIomic Single-Cell data. Our pipeline leverages a multimodal constraint autoencoder (single-cell hierarchical constraint autoencoder) to integrate the multi-omics data during the clustering process and a matrix factorization-based model (scMF) to predict target genes regulated by a TF. Moreover, we utilize multivariate linear regression models to predict gene regulatory networks from the multi-omics data. Additional functionalities, including differential expression, mediation analysis, and causal inference, are also incorporated into the MultiSC pipeline. Extensive experiments were conducted to evaluate the performance of MultiSC. The results demonstrate that our pipeline enables researchers to gain a comprehensive view of cell activities and gene regulatory networks by fully leveraging the potential of multiomics single-cell data. By employing MultiSC, researchers can effectively integrate and analyze diverse omics data types, enhancing their understanding of cellular processes.

Recent advances of molecular dynamics simulation on bubble nucleation and boiling heat transfer: A state-of-the-art review.

Boiling heat transfer has become increasingly importance in a variety of industrial fields, but it involves chaotic nature phenomena that remain experimentally challenging. From the perspective of nucleation, bubble embryos emerge at the early stage on extremely small time and length scales. Therefore, molecular dynamics (MD) simulation is a popular and useful tool to uncover the distinctive boiling mechanisms at microscale. Recently, such method has yielded meaningful achievements, but there is still elusive on the current status and bottlenecks behind complex boiling processes. In this work, the state-of-the-art studies on bubble nucleation and boiling heat transfer that covers 129 papers up to 2024 have been comprehensively reviewed. Meanwhile, fundamental concepts of MD are briefly introduced, including MD principles, force fields, and determination of nucleation-related parameters. In contrast to microscopic boiling, bubble nucleation stems from the competition between potential and kinetic energies on micro/nano scale. Then, the key factors such as interfacial wettability and mixture component are thoroughly elucidated for bubble nucleation. In addition, both passive and active techniques are systematically discussed to unveil the underlaying mechanisms for boiling heat transfer enhancement. Finally, the ongoing trials needed for MD simulation are identified, together with an outlook for how to address these challenges. This review aims to offer an up-to-date summary of boiling mechanisms and draw more attention to the development of advanced MD techniques.

Study on properties and simulation application scenarios of flame retarded modified konjac glucomannan organic and inorganic composite aerogel.

In this paper, a new organic-inorganic biomass composite aerogel was prepared by freeze-drying method with glucomannan, hydrophilic isocyanate, water-soluble flame retardant, and water glass as raw materials. Biomass Konjac glucose mannan (KGM) was used as the main network framework, KGM was chemically cross-linked and alkali-cross-linked with hydrophilic isocyanate and Na2SiO3 solution, and flame retardant modified with water-soluble flame retardant and water glass. The microstructure showed an obvious organic-inorganic interpenetrating network structure. The compressive strength of sample K2S4P2 was 4.751 ± 0.089 MPa, and the compression modulus of sample K2S4P1B modified by boric acid hydrolysis of Na2SiO3 was 63.76 ± 1.81 × 103 m2/s2. The introduction of boron ions contributes to the thermal stability of organic components. The peak and total heat release rates of sample K2S4P1A4 decreased by 80.3 % and 50.8 %, respectively. In addition, the thermal simulation calculation of the external wall in winter and summer using ANSYS software showed that the thickness of the insulation layer with the best insulation effect is 40-60 mm. The organic-inorganic composite aerogel provides a simple and environmentally friendly method for the application of external wall insulation systems in low-energy buildings with both mechanical properties and flame retardant properties.

Immune and non-immune mediators in the fibrosis pathogenesis of salivary gland in Sjögren's syndrome.

Sjögren's syndrome (SS) or Sjögren's disease (SjD) is a systemic autoimmune disease clinically manifested as sicca symptoms. This disease primarily impacts the functionality of exocrine glands, specifically the lacrimal and salivary glands (SG). SG fibrosis, an irreversible morphological change, is a severe consequence that occurs in the later stages of the disease due to sustained inflammation. However, the mechanism underlying SG fibrosis in SS remains under-investigated. Glandular fibrosis may arise from chronic sialadenitis, in which the interactions between infiltrating lymphocytes and epithelial cells potentially contributes to fibrotic pathogenesis. Thus, both immune and non-immune cells are closely involved in this process, while their interplays are not fully understood. The molecular mechanism of tissue fibrosis is partly associated with an imbalance of immune responses, in which the transforming growth factor-beta (TGF-ß)-dependent epithelial-mesenchymal transition (EMT) and extracellular matrix remodeling are recently investigated. In addition, viral infection has been implicated in the pathogenesis of SS. Viral-specific innate immune response could exacerbate the autoimmune progression, resulting in overt inflammation in SG. Notably, post-COVID patients exhibit typical SS symptoms and severe inflammatory sialadenitis, which are positively correlated with SG damage. In this review, we discuss the immune and non-immune risk factors in SG fibrosis and summarize the evidence to understand the mechanisms upon autoimmune progression in SS.

[Correlation between Bone Marrow Microvascular Density, Angiogenesis Factors and Bortezomib Resistance in Multiple Myeloma].

OBJECTIVE: To investigate the correlation between bone marrow microvascular density, angiogenesis factors and bortezomib resistance in multiple myeloma (MM). METHODS: The data of 200 patients with MM treated in our hospital from January 2020 to August 2023 were retrospectively analyzed, and the patients with MM were divided into drug-resistant group(n=68) and non-drug-resistant group(n=132) according to their drug resistance during bortezomib treatment. The univariate and multivariate logistic analysis were used to screen the independent influencing factors of bortezomib resistance in MM patients during treatment. The receiver operating characteristic (ROC) curve and clinical decision curve (DCA) were used to evaluate the predictive performance and clinical application value of the risk prediction model, the consistency between the actual incidence rate and the predicted incidence rate was judged by validating the calibration chart, and the goodness-of-fit of the model was judged by H-L test. RESULTS: 68 of the 200 MM patients developed resistance and poor clinical efficacy during bortezomib treatment, and the clinical resistance rate of bortezomib was 34.0%. The results of multivariate analysis showed that high bone marrow microvessel density (MVD) and high bone marrow supernatant VEGF, HGF, and bFGF expression levels were independent risk factors for bortezomib resistance in MM patients (P < 0.05). The area under the ROC curve (AUC) of the model jointly constructed by bone marrow MVD, serum VEGF, HGF, bFGF and TNF-α levels was 0.924, and its sensitivity and specificity were 92.6% and 78.8%, which were higher than those of the bone marrow MVD model (AUC=0.743) and the vasogenesis factor model (AUC=0.878). The calibration curve of the joint prediction model was close to the standard curve, indicating that the model is more consistent. The results of H-L goodness -of - fit test showed χ2=14.748， P =0.164, the joint prediction model had a good fit. The DCA curve showed that the clinical net benefit of intervention in the range of 0.0~1.0 was greater than that of full intervention and no intervention. CONCLUSION: The prediction model based on bone marrow MVD and vasogenesis factors (VEGF, HGF, bFGF) in MM patients has higher clinical evaluation performance and predictive value.

A pseudo-homozygous missense variant and Alu-mediated exon 5 deletion in FARS2 causing spastic paraplegia 77.

FARS2-associated hereditary spastic paraplegia, later onset spastic paraplegia type 77, is a rarely neurodegenerative disease. Here, we reported two affected siblings in an autosomal recessive spastic paraplegia family with a pseudo-homozygous missense variant and Alu-mediated exon 5 deletion in FARS2. Both patients gradually developed altered gaits and weakness in both lower limbs. In our literature review, spastic paraplegia type 77 shows high heterogeneity in clinical manifestations. Our study broadens the scope of pathogenic mechanisms of SPG77 resulting from compound heterozygous mutations in FARS2 and provides strong evidence that deletion in FARS2 due to recombination event mediated by Alu element.

Acyl-CoA long-chain synthetase 1 (ACSL1) protects the endometrium from excess palmitic acid stress during decidualization.

Endometrial receptivity relies on the functional and morphological change of endometrium stromal cells (EnSCs) and epithelial cells in the secretory phase. Decidualization of ESCs and transitions in endometrium epithelial cells are crucial for successful uterine implantation and maintaining pregnancy. Accumulated data have demonstrated that decidualization is tightly coordinated by lipid metabolism. However, the lipidomic change and regulatory mechanism in uterine decidualization are still unknown. Our study showed that endometrium stromal cells and decidual stromal cells had different lipidomic profiles. Acyl-CoA long-chain synthetase 1 (ACSL1) which converts fatty acids to acyl-CoA expression was strongly elevated during decidualization. ACSL1 knockdown inhibited stromal-to-decidual cell transition and decreased the decidualization markers prolactin and Insulin-like growth factor-binding protein-1 (IGFBP1) expression through the AKT pathway. Lipid uptake was upregulated in stromal cells while lipid droplet accumulation was downregulated during decidualization. Meanwhile, silencing of ACSL1 led to impaired spare respiratory capacity, and downregulation of TFAM expression, indicating robust lipid metabolism. While palmitic acid addition impeded decidualization, overexpression of ACSL1 could partially reverse its effect. ACSL inhibitor Triacsin C significantly impeded decidualization in a three-dimensional coculture model consisting of endometrial stromal cells and epithelial cells. Knockdown of ACSL1 in stromal cells decreased the expression of the decidualization markers PAEP and SPP1 in epithelial cells. Collectively, ACSL1 is essential for uterine decidualization and protects stromal cells from excess palmitic acid stress.

Procyanidin B1 Promotes PSMC3-NRF2 Ubiquitination to Induce Ferroptosis in Glioblastoma.

NRF2 signaling is a crucial antioxidant defense mechanism against ferroptosis in tumors, and targeting NRF2 is essential for tumor therapy. However, the effectiveness of NRF2 inhibitors remains unexplored. The active ingredients of traditional Chinese medicine serve as important sources of NRF2 inhibitors. In this study, we established an intracranial glioblastoma (GBM) orthotopic model and observed the effects of procyanidin B1 on tumor growth and ferroptosis. Using protein-small-molecule docking, z-stack assay of laser confocal imaging, surface plasmon resonance assay, immunoprecipitation, mass spectrometry, and western blotting, we detected the binding between procyanidin B1 and NRF2 and the effect of PSMC3 on the ubiquitin-dependent degradation of NRF2 in GBM cells. Our results showed that procyanidin B1 acted as a novel NRF2 inhibitor to suppress GBM cell proliferation and prolonged the survival of GBM-bearing mice; it also mediated the interaction between PSMC3 and NRF2 to promote ubiquitin-dependent protein degradation of NRF2, which induced ferroptosis in GBM cells. In addition, we found that procyanidin B1 enhanced H2O2 accumulation by downregulating NRF2 during ferroptosis in GBM cells. The botanical agent procyanidin B1 induced ferroptosis and exerted anti-tumor effects through PSMC3-mediated ubiquitin-dependent degradation of NRF2 proteins, providing a potential drug candidate for adjuvant therapy in patients with GBM.

CYP7B1 deficiency impairs myeloid cell activation in autoimmune disease of the central nervous system.

Dysregulation of cholesterol metabolism underlies neurodegenerative disease and is increasingly implicated in neuroinflammatory diseases, such as multiple sclerosis (MS). Cytochrome P450 family 7 subfamily B member 1 (CYP7B1) is a key enzyme in alternative cholesterol metabolism. A recessive mutation in the gene CYP7B1 is known to cause a neurodegenerative disease, hereditary spastic paraplegia type 5 and oxysterol accumulation. However, the role of CYP7B1 in neuroinflammation has been little revealed. In this study, we induced experimental autoimmune encephalomyelitis (EAE), as a murine model of MS, using CYP7B1 homozygous knockout (KO) mice. We found that CYP7B1 deficiency can significantly attenuate EAE severity. CYP7B1 deficiency is sufficient to reduce leukocyte infiltration into the central nervous system, suppress proliferation of pathogenic CD4+ T cells, and decrease myeloid cell activation during EAE. Additionally, live-animal imaging targeting translocator protein expression, an outer mitochondrial membrane protein biomarker of neuroinflammation, showed that CYP7B1 deficiency results in suppressed neuroinflammation. Using human monocyte-derived microglia-like cellular disease model and primary microglia of CYP7B1 KO mice, we also found that activation of microglia of CYP7B1 deficiency was impaired. These cumulative results suggest that CYP7B1 can regulate neuroinflammation, thus providing potential new targets for therapeutic intervention.

Structure and mechanism of the osmoregulated choline transporter BetT.

The choline-glycine betaine pathway plays an important role in bacterial survival in hyperosmotic environments. Osmotic activation of the choline transporter BetT promotes the uptake of external choline for synthesizing the osmoprotective glycine betaine. Here, we report the cryo-electron microscopy structures of Pseudomonas syringae BetT in the apo and choline-bound states. Our structure shows that BetT forms a domain-swapped trimer with the C-terminal domain (CTD) of one protomer interacting with the transmembrane domain (TMD) of a neighboring protomer. The substrate choline is bound within a tryptophan prism at the central part of TMD. Together with functional characterization, our results suggest that in Pseudomonas species, including the plant pathogen P. syringae and the human pathogen Pseudomonas aeruginosa, BetT is locked at a low-activity state through CTD-mediated autoinhibition in the absence of osmotic stress, and its hyperosmotic activation involves the release of this autoinhibition.

Gegen Qinlian Decoction reverses oxaliplatin resistance in colorectal cancer by inhibiting YTHDF1-regulated m6A modification of GLS1.

BACKGROUND: Colorectal cancer (CRC) and its chemoresistance pose significant threats to human health. Gegen Qinlian Decoction (GQD) is frequently employed alongside chemotherapy drugs for the treatment of CRC and various intestinal disorders. Despite its widespread use, there is limited research investigating the mechanisms through which GQD reverses chemoresistance. PURPOSE: This study investigated the mechanism by which GQD reverses oxaliplatin (OXA) resistance in CRC. METHODS: A YTH N6-methyladenosine RNA binding protein 1 (YTHDF1)-knockdown OXA-resistant cell line was constructed by lentivirus to clarify YTHDF1-mediated chemoresistance through the regulation of glutaminase 1 (GLS1). The efficacy of GQD in reversing OXA resistance in CRC in vitro was evaluated by Cell Counting Kit-8, western blotting, quantitative real-time polymerase chain reaction, and glutaminase activity assays. In vivo validation was performed by constructing tumor xenografts in nude mice with OXA-resistant cells. In addition, mouse feces were collected and a 16S rDNA assay was performed to assess the regulation of intestinal flora by GQD. RESULTS: Overexpression of YTHDF1 upregulated GLS1 expression and induced OXA-resistance in CRC. GQD induced apoptosis in LoVo/OXAR, increased OXA accumulation in LoVo/OXAR, inhibited expression of YTHDF1 and GLS1 when administered alone and in combination with OXA, and suppressed GLS1 activity to reverse drug resistance with good synergistic effects. GQD and OXA combination or GLS1 inhibitor alleviated OXA toxicity, reduced the volume of tumor xenografts in nude mice, inhibited YTHDF1 and GLS1 protein expression and GLS1 activity, adjusted the intestinal flora, and significantly reversed the increased Firmicutes/Bacteroidetes ratio. CONCLUSION: GQD has shown superior efficacy in reversing OXA-resistance and increasing sensitivity. These findings indicate that the therapy combined with GQD has potential utility in the treatment of OXA-resistant CRC.

Decellularized Tumor Tissues Integrated with Polydopamine for Wound Healing.

Natural biomaterials have been showing extensive potential in wound healing; attempts therefore focus on productions achieving both antimicrobial and tissue regenerative abilities. Here, we construct a decellularized human colon tumor (DHCT)-derived scaffold for wound remolding via microfluidic bioprinting. The DHCT retains a series of growth factors, fibrin, and the collagen configuration, that favor tissue repair and reconstruction. Specifically, the scaffold shows superior abilities in cell migration and angiogenesis. The biocompatible scaffold is also imparted with tissue adhesion ability and photothermal effect due to the coating of biologically derived polydopamine on the surface. The strong photothermal effect under near-infrared irradiation also present the scaffold with an antibacterial rate exceeding 90%. Furthermore, in vivo experiments convinced that the polydopamine-integrated DHCT scaffold can markedly expedite the healing process of acute extensive wounds. These findings indicate that composite materials derived from natural tumors have substantial potential in pertinent clinical applications.

Iron Chelator Deferiprone Restores Iron Homeostasis and Inhibits Retinal Neovascularization in Experimental Neovascular Age-Related Macular Degeneration.

Purpose: Retinal neovascularization is a significant feature of advanced age-related macular degeneration (AMD) and a major cause of blindness in patients with AMD. However, the underlying mechanism of this pathological neovascularization remains unknown. Iron metabolism has been implicated in various biological processes. This study was conducted to investigate the effects of iron metabolism on retinal neovascularization in neovascular AMD (nAMD). Methods: C57BL/6J and very low-density lipoprotein receptor (VLDLR) knockout (Vldlr-/-) mice, a murine model of nAMD, were used in this study. Bulk-RNA sequencing was used to identify differentially expressed genes. Western blot analysis was performed to test the expression of proteins. Iron chelator deferiprone (DFP) was administrated to the mice by oral gavage. Fundus fluorescein angiography was used to evaluate retinal vascular leakage. Immunofluorescence staining was used to detect macrophages and iron-related proteins. Results: RNA sequencing (RNA-seq) results showed altered transferrin expression in the retina and RPE of Vldlr-/- mice. Disrupted iron homeostasis was observed in the retina and RPE of Vldlr-/- mice. DFP mitigated iron overload and significantly reduced retinal neovascularization and vascular leakage. In addition, DFP suppressed the inflammation in Vldlr-/- retinas. The reduced signals of macrophages were observed at sites of neovascularization in the retina and RPE of Vldlr-/- mice after DFP treatment. Further, the IL-6/JAK2/STAT3 signaling pathway was activated in the retina and RPE of Vldlr-/- mice and reversed by DFP treatment. Conclusions: Disrupted iron metabolism may contribute to retinal neovascularization in nAMD. Restoring iron homeostasis by DFP could be a potential therapeutic approach for nAMD.

Three-dimensional micro strain gauges as flexible, modular tactile sensors for versatile integration with micro- and macroelectronics.

Flexible tactile sensors play important roles in many areas, like human-machine interface, robotic manipulation, and biomedicine. However, their flexible form factor poses challenges in their integration with wafer-based devices, commercial chips, or circuit boards. Here, we introduce manufacturing approaches, device designs, integration strategies, and biomedical applications of a set of flexible, modular tactile sensors, which overcome the above challenges and achieve cooperation with commercial electronics. The sensors exploit lithographically defined thin wires of metal or alloy as the sensing elements. Arranging these elements across three-dimensional space enables accurate, hysteresis-free, and decoupled measurements of temperature, normal force, and shear force. Assembly of such sensors on flexible printed circuit boards together with commercial electronics forms various flexible electronic systems with capabilities in wireless measurements at the skin interface, continuous monitoring of biomechanical signals, and spatial mapping of tactile information. The flexible, modular tactile sensors expand the portfolio of functional components in both microelectronics and macroelectronics.

TDC-2: Multimodal Foundation for Therapeutic Science.

Therapeutics Data Commons (tdcommons.ai) is an open science initiative with unified datasets, AI models, and benchmarks to support research across therapeutic modalities and drug discovery and development stages. The Commons 2.0 (TDC-2) is a comprehensive overhaul of Therapeutic Data Commons to catalyze research in multimodal models for drug discovery by unifying single-cell biology of diseases, biochemistry of molecules, and effects of drugs through multimodal datasets, AI-powered API endpoints, new multimodal tasks and model frameworks, and comprehensive benchmarks. TDC-2 introduces over 1,000 multimodal datasets spanning approximately 85 million cells, pre-calculated embeddings from 5 state-of-the-art single-cell models, and a biomedical knowledge graph. TDC-2 drastically expands the coverage of ML tasks across therapeutic pipelines and 10+ new modalities, spanning but not limited to single-cell gene expression data, clinical trial data, peptide sequence data, peptidomimetics protein-peptide interaction data regarding newly discovered ligands derived from AS-MS spectroscopy, novel 3D structural data for proteins, and cell-type-specific protein-protein interaction networks at single-cell resolution. TDC-2 introduces multimodal data access under an API-first design using the model-view-controller paradigm. TDC-2 introduces 7 novel ML tasks with fine-grained biological contexts: contextualized drug-target identification, single-cell chemical/genetic perturbation response prediction, protein-peptide binding affinity prediction task, and clinical trial outcome prediction task, which introduce antigen-processing-pathway-specific, cell-type-specific, peptide-specific, and patient-specific biological contexts. TDC-2 also releases benchmarks evaluating 15+ state-of-the-art models across 5+ new learning tasks evaluating models on diverse biological contexts and sampling approaches. Among these, TDC-2 provides the first benchmark for context-specific learning. TDC-2, to our knowledge, is also the first to introduce a protein-peptide binding interaction benchmark.

NAT10 Phase Separation Regulates YTHDF1 Splicing to Promote Gastric Cancer Progression.

Gastric cancer is an aggressive malignancy with poor patient outcomes. N-Acetyltransferase 10 (NAT10) is an acetyltransferase that has been reported to contribute to gastric cancer progression. In-depth investigation into the underlying molecular mechanisms driven by NAT10 could help identify therapeutic targets to improve gastric cancer treatment. In this study, we found that NAT10 forms condensates to regulate RNA dynamics and promote gastric cancer progression. In samples of patients with gastric cancer, elevated NAT10 expression correlated with an unfavorable prognosis, advanced disease stage, and metastasis. NAT10 enhanced the proliferation, migration, and invasion of gastric cancer cells; supported the growth of patient-derived organoids; and accelerated tumor development. A C-terminal intrinsically disordered region-mediated liquid-liquid phase separation of NAT10 and was essential for its tumor-promoting function in gastric cancer. Moreover, NAT10 interacted with the splicing factor serine/arginine-rich splicing factor 2 (SRSF2), leading to its acetylation and increased stability. Acetylated SRSF2 directly bound to the pre-mRNA of the m6A reader YTHDF1, resulting in enhanced YTHDF1 exon 4 skipping and upregulation of a short YTHDF1 transcript that could stimulate gastric cancer cell proliferation and migration. Furthermore, YTHDF1 exon 4 skipping correlated with NAT10 and SRSF2 expression and was associated with a more aggressive phenotype in samples of patients with gastric cancer. Together, this study uncovers the role of NAT10 liquid-liquid phase separation in modulating YTHDF1 splicing through SRSF2 acetylation to drive gastric cancer progression, providing insights into the oncogenic mechanism of NAT10. Significance: Phase separation of NAT10 enables acetylation of SRSF2 that enhances YTHDF1 exon 4 skipping, which is a tumor-promoting axis in gastric cancer that represents potential therapeutic targets and prognostic biomarkers.

Exploring the Pathogenesis of Autoimmune Liver Diseases from the Heterogeneity of Target Cells.

The incidence of autoimmune liver diseases (ALDs) and research on their pathogenesis are increasing annually. However, except for autoimmune hepatitis, which responds well to immunosuppression, primary biliary cholangitis and primary sclerosing cholangitis are insensitive to immunosuppressive therapy. Besides the known effects of the environment, genetics, and immunity on ALDs, the heterogeneity of target cells provides new insights into their pathogenesis. This review started by exploring the heterogeneity in the development, structures, and functions of hepatocytes and epithelial cells of the small and large bile ducts. For example, cytokeratin (CK) 8 and CK18 are primarily expressed in hepatocytes, while CK7 and CK19 are primarily expressed in intrahepatic cholangiocytes. Additionally, emerging technologies of single-cell RNA sequencing and spatial transcriptomic are being applied to study ALDs. This review offered a new perspective on understanding the pathogenic mechanisms and potential treatment strategies for ALDs.

Immunomodulatory Effects of Yu-Ping-Feng Formula on Primary Sjögren's Syndrome: Interrogating the T Cell Response.

Ethnopharmacological treatments have shown beneficial effects in the clinical practice of autoimmune disorders. However, the underlying mechanism of immunomodulatory effects remains challenging, given the complicate composition of herbal medicines. Here, we developed an immunological approach to interrogate the T helper cell response. Through data mining we hypothesized that Chinese medicine formula, Yu-Ping-Feng (YPF) might be a promising candidate for treating primary Sjögren's syndrome (pSS), a common autoimmune disease manifested by exocrine gland dysfunction. We took advantage of a mouse model of experimental Sjögren's syndrome (ESS) that we previously established for YPF formula treatment. YPF therapy ameliorated the ESS pathology in mice with active disease, showing improved salivary function and decreased serum levels of autoantibodies. Phenotypic analysis suggested that both effector T and B cells were significantly suppressed. Using co-culture assay and adoptive transfer models, we demonstrated that YPF formula directly restrained effector/memory T cell expansion and differentiation into Th17 and T follicular helper (Tfh) cells, the key subsets in ESS pathogenesis. Importantly, we recruited 20 pSS patients and conducted a pilot study of 8-week therapy of YPF formula. YPF treatment effectively improved fatigue symptoms, exocrine gland functions and reduced serum IgG/IgA levels, while effector T and B cell subsets were significantly decreased. There was a trend of reduction on disease activity, but not statistically significant. Together, our findings suggested a novel approach to assess the immunomodulatory effects of YPF formula, which may be favorable for patients with autoimmune disorders.

Peroxynitrite reduces Treg cell expansion and function by mediating IL-2R nitration and aggravates multiple sclerosis pathogenesis.

T-helper 17 cells and regulatory T cells (Treg) are critical regulators in the pathogenesis of multiple sclerosis (MS) but the factors affecting Treg/Th17 balance remains largely unknown. Redox balance is crucial to maintaining immune homeostasis and reducing the severity of MS but the underlying mechanisms are unclear yet. Herein, we tested the hypothesis that peroxynitrite, a representative molecule of reactive nitrogen species (RNS), could inhibit peripheral Treg cells, disrupt Treg/Th17 balance and aggravate MS pathology by inducing nitration of interleukin-2 receptor (IL-2R) and down-regulating RAS/JNK-AP-1 signalling pathway. Experimental autoimmune encephalomyelitis (EAE) mouse model and serum samples of MS patients were used in the study. We found that the increases of 3-nitrotyrosine and IL-2R nitration in Treg cells were coincided with disease severity in the active EAE mice. Mechanistically, peroxynitrite-induced IL-2R nitration down-regulated RAS/JNK signalling pathway, subsequently impairing peripheral Treg expansion and function, increasing Teff infiltration into the central nerve system (CNS), aggravating demyelination and neurological deficits in the EAE mice. Those changes were abolished by peroxynitrite decomposition catalyst (PDC) treatment. Furthermore, transplantation of the PDC-treated-autologous Treg cells from donor EAE mice significantly decreased Th17 cells in both axillary lymph nodes and lumbar spinal cord, and ameliorated the neuropathology of the recipient EAE mice. Those results suggest that peroxynitrite could disrupt peripheral Treg/Th17 balance, and aggravate neuroinflammation and neurological deficit in active EAE/MS pathogenesis. The underlying mechanisms are related to induce the nitration of IL-2R and inhibit the RAS/JNK-AP-1 signalling pathway in Treg cells. The study highlights that targeting peroxynitrite-mediated peripheral IL-2R nitration in Treg cells could be a novel therapeutic strategy to restore Treg/Th17 balance and ameliorate MS/EAE pathogenesis. The study provides valuable insights into potential role of peripheral redox balance in maintaining CNS immune homeostasis.