Systematic Identification and Analysis of Expression Profiles of mRNAs and Incrnas in Macrophage Inflammatory Response

Neurotransmitter imbalance and amygdala synaptic plasticity in lumbar disc herniation-induced chronic pain and related emotional Disturbances:A multi-omics analysis

Chronic pain due to lumbar disc herniation (LDH) significantly impairs quality of life and is often accompanied by emotional disturbances, such as anxiety and depression. Despite the recognition of these comorbidities, the underlying neural mechanisms remain unclear. This study investigates the role of neurotransmitter imbalances and key regulatory molecules in LDH-induced chronic pain and related emotional disturbances, with a focus on synaptic plasticity in the amygdala. A rat model of LDH was developed using male Sprague-Dawley rats. Behavioral assessments were conducted to evaluate pain hypersensitivity, anxiety, and depression-like behaviors. Cerebrospinal fluid (CSF) metabolomics and amygdala transcriptomics were employed to analyze neurotransmitter profiles and gene expression. In vitro experiments were conducted to explore the role of PRKCG in synaptic plasticity. Behavioral tests showed significant pain hypersensitivity and anxiety- and depression-like behavior in LDH rats. Metabolomic analysis revealed altered levels of glutamate and γ-aminobutyric acid (GABA) in the CSF, indicating neurotransmitter imbalances. Transcriptomic profiling identified changes in genes related to synaptic plasticity, including PRKCG. PRKCG knockdown led to reduced CAMKII phosphorylation and GRIA1 expression, supporting its role in modulating synaptic plasticity. This study provides evidence that neurotransmitter imbalances and alterations in synaptic plasticity within the amygdala may contribute to the persistence of chronic pain and associated emotional disturbances in LDH. PRKCG may represent a novel therapeutic target for treating both chronic pain and related emotional disturbances.

Reposition: Focalizing β-Alanine Metabolism and the Anti-Inflammatory Effects of Its Metabolite Based on Multi-Omics Datasets

The incorporation of multi-omics data methodologies facilitates the concurrent examination of proteins, metabolites, and genes associated with inflammation, thereby leveraging multi-dimensional biological data to achieve a comprehensive understanding of the complexities involved in the progression of inflammation. Inspired by ensemble learning principles, we implemented ID normalization preprocessing, categorical sampling homogenization, and pathway enrichment across each sample matrix derived from multi-omics datasets available in the literature, directing our focus on inflammation-related targets within lipopolysaccharide (LPS)-stimulated RAW264.7 cells towards β-alanine metabolism. Additionally, through the use of LPS-treated RAW264.7 cells, we tentatively validated the anti-inflammatory properties of the metabolite Ureidopropionic acid, originating from β-alanine metabolism, by evaluating cell viability, nitric oxide production levels, and mRNA expression of inflammatory biomarkers. In conclusion, our research represents the first instance of an integrated analysis of multi-omics datasets pertaining to LPS-stimulated RAW264.7 cells as documented in the literature, underscoring the pivotal role of β-alanine metabolism in cellular inflammation and successfully identifying Ureidopropionic acid as a novel anti-inflammatory compound. Moreover, the findings from database predictions and molecular docking studies indicated that the inflammatory-related pathways and proteins may serve as potential mechanistic targets for Ureidopropionic acid.

PRSS37 deficiency leads to impaired energy metabolism in testis and sperm revealed by DIA-based quantitative proteomic analysis

Our previous studies have reported that a putative trypsin-like serine protease, PRSS37, is exclusively expressed in testicular germ cells during late spermatogenesis and essential for sperm migration from the uterus into the oviduct and sperm-egg recognition via mediating the interaction between PDILT and ADAM3. In the present study, the global proteome profiles of wild-type (wt) and Prss37^-/- mice in testis and sperm were compared employing data independent acquisition (DIA) technology. Overall, 2506 and 459 differentially expressed proteins (DEPs) were identified in Prss37-null testis and sperm, respectively, when compared to control groups. Bioinformatic analyses revealed that most of DEPs were related to energy metabolism. Of note, the DEPs associated with pathways for the catabolism such as glucose via glycolysis, fatty acids via β-oxidation, and amino acids via oxidative deamination were significantly down-regulated. Meanwhile, the DEPs involved in the tricarboxylic acid cycle (TCA cycle) and oxidative phosphorylation (OXPHOS) were remarkably decreased. The DIA data were further confirmed by a markedly reduction of intermediate metabolites (citrate and fumarate) in TCA cycle and terminal metabolite (ATP) in OXPHOS system after disruption of PRSS37. These outcomes not only provide a more comprehensive understanding of the male fertility of energy metabolism modulated by PRSS37 but also furnish a dynamic proteomic resource for further reproductive biology studies.

Study of differential proteomics in granulosa cells of premature ovarian insufficiency (POI) and the roles and mechanism of RAC1 in granulosa cells

In the present study, we focused on characterizing the proteome in granulosa cells in patients with biochemical premature ovarian insufficiency (bPOI) in order to identify differential proteins and investigate the fundamental mechanisms of POI. A total of 2688 proteins were identified based on the data-independent acquisition method, and 70 differentially expressed proteins were significant. Bioinformatic analyses, including gene expression pattern analysis, gene ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and Search Tool for the Retrieval of Interacting Genes/Proteins analysis, revealed discrete modules and the underlying molecular mechanisms in bPOI. Importantly, we observed that Ras-related C3 botulinum toxin substrate 1 (RAC1) was downregulated in the granulosa cells of bPOI. Low expression of RAC1 may affect the development process of POI by affecting the proliferation, apoptosis, and hormone synthesis of granulosa cells. Downregulation of RAC1 expression in the KGN and COV434 cells inhibited cell proliferation, blocked cells in the G1/G0 phase, and promoted apoptosis. Western blot results showed that β-catenin and cyclin D1 in the KGN and COV434 cells transfected with RAC1-siRNA were downregulated, while P21 and Bax were upregulated. Knocking down RAC1 in the KGN cells or adding the RAC1 enzyme inhibitor to the human luteinized granulosa cells (hLGC) inhibited the synthesis of E₂, and the expression of aromatase and follicle-stimulating hormone receptor (FSHR) was reduced.

lncRNA AGAP2-AS1 Facilitates Tumorigenesis and Ferroptosis Resistance through SLC7A11 by IGF2BP2 Pathway in Melanoma

Long noncoding RNAs (lncRNAs) stand as indispensable regulators of initiation and development in melanoma (melanoma). However, the action molecular mechanisms linked to melanoma remain unclear. In the current study, the findings revealed that AGAP2-AS1 was considerably greater in melanoma than in healthy tissues and that the level of AGAP2-AS1 in cancer tissue was significantly linked to the cancerous TNM stage of patients. Individuals with high AGAP2-AS1 had a considerably shorter survival duration than patients with low AGAP2-AS1, regardless of progression-free survival or overall survival. Functionally, downregulating the expression of AGAP2-AS1 can inhibit the growth of melanocytes. Compared with the control group, AGAP2-AS1 knockdown increased Erastin-mediated iron death in melanoma cells. However, iron death inhibitor FERSINT-1 restored this effect, while Erastin induced melanoma cell death. Besides, intracellular iron and Fe2+ levels increased after AGAP2-AS1 knockdown in melanoma cells treated with Erastin compared with the si-NC group. In addition, AGAP2-AS1 silencing resulted in a significant decrease in glutathione (GSH) content in Erastin-treated melanoma cells. The mechanistic results suggest AGAP2-AS1 increases SLC7A11 mRNA stability through the IGF2BP2 pathway. In this investigation, we discovered new activities for AGAP2-AS1 and firstly discovered its mechanistic basis in ferroptosis and melanoma formation that might help in the search for potential therapy options in melanoma.

The multiomics landscape of serum exosomes during the development of sepsis

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The study for the first time describes the profile of molecular dynamics in septic serum exosomes.

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We provide a new direction into proteasome-mediated protein degradation in septic serum exosomes.

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IL-10 delivery by septic exosomes may play a vital role in alleviation of AKI of CLP mice.

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Septic serum exosomes participate in the modulation of sepsis by regulating vitamin metabolism.

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The molecular mechanisms proposed in the study may provide helpful insights for the therapy of sepsis.

Introduction

Sepsis is an infection-induced severe inflammatory disorder leading to multiple organ dysfunction. It remains a highly lethal condition for which early diagnosis and therapy achieve unsatisfactory results. Circulating exosomes containing biomarkers and mediators of sepsis have recently received attention, but the progress has been far from optimal.

Objectives

The present study focuses on the profiles of molecular dynamics in serum exosomes and explores the potential molecular mechanisms on serum exosomes during the process of sepsis.

Methods

We used high-performance liquid chromatography-tandem mass spectrometry and RNA-seq to detect the dynamic profiles of exosome proteins and RNAs (including mRNAs, lncRNAs and miRNAs) in serum exosomes from 3 healthy individuals and 9 septic patients at the different stages. Then integrative multiomics analyses were performed and the results were validated by qRT-PCR, LiquiChip assay and metabolomics analysis on mice subjected to cecal ligation and puncture (CLP) modeling.

Results

A total of 354 proteins, 195 mRNAs, 82 lncRNAs and 55 miRNAs were identified as differentially expressed molecules in serum exosomes from septic patients. Integrative multiomics analysis showed that exosome components were associated with cytokine storm, complement and clotting cascades, the endothelial barrier, 20S proteasome-dependent protein degradation and vitamin metabolism. Importantly, pretreatment with serum exosomes derived from mice subjected to CLP significantly restrained proinflammatory cytokine expression and alleviated tissue injury in septic mice. Further metabolomics analysis demonstrated that pretreatment with septic serum exosomes significantly affected the metabolites associated with vitamin digestion and absorption in CLP mice.

Conclusion

Our study for the first time describes the landscape of the molecular dynamics of serum exosomes during the development of sepsis and proposes some hypothetical molecular mechanisms by integrative multiomics analysis, which may provide helpful diagnostic and therapeutic insights for the ongoing battle against sepsis.

Nanoscale Imaging of RNA-Protein Interactions with a Photoactivatable Trimolecular Fluorescence Complementation System

Imaging RNA-protein interaction in the cellular space with single molecule sensitivity is attractive for studying gene expression and regulation, but remains a challenge. In this study, we reported a photoactivatable trimolecular fluorescence complementation (TriFC) system based on fluorescent protein, mIrisFP, to identify and visualize RNA-protein interactions in living mammalian cells. We also combined this TriFC system with photoactivated localization microscopy (PALM), named the TriFC-PALM technique, which allowed us to image the RNA-protein interactions with single molecule sensitivity. Using this TriFC-PALM technique, we identified the actin-bundling protein, FSCN1, specifically interacting with the HOX Transcript Antisense RNA (HOTAIR). The TriFC-PALM imaging acquired a higher resolution compared with the traditional method of total internal reflection (TIRF) imaging. The TriFC-PALM thus provides a useful tool for imaging and identifying the RNA-protein interactions inside cells at the nanometer scale.

LncRNA: A Potential Research Direction in Intestinal Barrier Function

Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides and play important roles in a variety of diseases. LncRNAs are involved in many biologic processes including cell differentiation, development, and apoptosis. The intestinal barrier is considered one of the most important protective barriers in humans. Severe damage or dysfunction of the intestinal barrier may be associated with the occurrence and development of many diseases, such as inflammatory bowel disease and ulcerative colitis. LncRNAs have been found to be associated with intestinal barrier function in some studies, which are at an early stage. In this review, we introduce the roles of LncRNAs in the intestinal barrier and investigate the possibility of lncRNAs as a research field in the intestinal barrier.

Bone Marrow-Derived IL-1Ra Increases TNF Levels Poststroke

Tumor necrosis factor (TNF) and interleukin-1 receptor antagonist (IL-1Ra) are key players in stroke, a disease in which cell-based therapies have shown great potential. Having shown an infarct-reducing effect of bone marrow (BM) cells, especially cells with high IL-1Ra expression, we here investigated the effect of BM cells on TNF and other stroke-related mediators in mice after transient middle cerebral artery occlusion (tMCAo) and in vitro using adult microglial cultures. We analyzed stroke-related genes and inflammatory mediators using qPCR stroke Tier panels, electrochemiluminescence, or enzyme-linked immunosorbent assays. We found a significant correlation and cellular colocalization between microglial-derived TNF and IL-1Ra, though IL-1Ra production was TNF independent. BM treatment significantly increased TNF, interleukin (IL)-10, and IL-4 levels, while C-X-C motif ligand 1 (CXCL1), IL-12p70, and Toll-like receptor 2 (TLR2) decreased, suggesting that BM treatment favors an anti-inflammatory environment. Hierarchical clustering identified Tnf and IL-1rn within the same gene cluster, and subsequent STRING analysis identified TLR2 as a shared receptor. Although IL-1Ra producing BM cells specifically modulated TNF levels, this was TLR2 independent. These results demonstrate BM cells as modulators of poststroke inflammation with beneficial effects on poststroke outcomes and place TNF and IL-1Ra as key players of the defense response after tMCAo.

Chinese Medicine Huzhen Tongfeng Formula Effectively Attenuates Gouty Arthritis by Inhibiting Arachidonic Acid Metabolism and Inflammatory Mediators

The Chinese herbal medicine, Huzhen Tongfeng Formula (HZTF), derived from traditional Chinese medicine (TCM) practice, has recognized therapeutic benefits for gouty arthritis (GA). HZTF is currently in the late stage of approval process as a new anti-GA drug application. However, the underlying mechanism of HZTF as an antigout medication is unclear. In this study, we combined network pharmacology and experimental validation approaches to elucidate the mechanism of action of HZTF. First, the relative drug-disease target networks were constructed and analyzed for pathway enrichment. Potential pathways were then validated by in vitro and in vivo experiments. We found that 34 compounds from HZTF matched 181 potential drug targets. Topology analysis revealed 77 core targets of HZTF, which were highly related to gout, following screening of KEGG pathway enrichment. Further analysis demonstrated that the arachidonic acid metabolic pathway was the most relevant pathway involved in the mechanism of HZTF. Validation experiments showed that HZTF significantly inhibited the inflammatory cell infiltration into gouty joints, improved the swelling of affected joints, and increased the pain threshold. HZTF significantly reduced the transcription and production of various cytokines and inflammatory mediators in vitro. In particular, cyclooxygenase (COX)-1, COX-2, and 5-lipoxygenase were simultaneously downregulated. In conclusion, our study suggests that the antigout mechanism of HZTF is associated with the inhibition of the arachidonic acid pathway, resulting in the suppression of inflammatory cytokines and mediators. These findings extend our understanding of the pharmacological action of HZTF, rationalizing the application HZTF as an effective herbal therapy for GA.

LncRNA-MYL2-2 and miR-124-3p Are Associated with Perioperative Neurocognitive Disorders in Patients after Cardiac Surgery

BACKGROUND

Perioperative neurocognitive disorders (PND) resulting from cardiac surgery is a complication with high morbidity and mortality. However, the pathogenesis is unknown.

METHODS

For the sake of investigating the risk factors and mechanism of PND, we collected the characteristics and neurological scores of patients undergoing cardiac surgery in the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University and Affiliated Hospital of Southwest Medical University from Jan 1, 2016 to Dec 11, 2018.

RESULTS

We found that age and left atrial thrombus are independent risk factors for PND after cardiac surgery. Furthermore, the serum of 29 patients was collected on the 7th day after cardiac surgery for detecting the expression of lncRNA-MYL2-2 and miR-124-3p. Increased lncRNA-MYL2-2 and decreased miR-124-3p in serum were associated with the decline of patients' cognition.

CONCLUSIONS

LncRNA-MYL2-2 and miRNA-124-3p may jointly participate in the occurrence and development of PND after cardiac surgery. These important findings are advantaged to further understand the pathogenesis of PND and prevent it, provide new biomarkers for the diagnosis and monitoring of PND.

Whole transcriptome sequencing reveals dexmedetomidine-improves postoperative cognitive dysfunction in rats via modulating lncRNA

The aim of this study was to explore the underlying mechanism and function of dexmedetomidine (Dex)-regulated long non-coding RNAs (lncRNAs) in improving postoperative cognitive dysfunction (POCD) in rats. The established POCD model, Dex treatment model in rats, Morris water maze testing, and HE staining assays were used to evaluate the efficacy of Dex in POCD treatment in rats. Hippocampus samples of rats from the POCD group and the Dex group were used for lncRNA sequencing. The expression of five differentially expressed lncRNAs (DElncRNAs) was verified by quantitative reverse transcription PCR (qRT-PCR). Competing endogenous RNAs (ceRNA) network was constructed using Cytoscape. The concentration of inflammatory cytokines were measured by ELISA. Microglia proliferation and apoptosis were assessed using CCK-8 assay and flow cytometry, respectively. In the Dex group, the escape latency was shorter, neuron cell injury levels were alleviated, and the expression levels of TNF-α and IL-1β were significantly down-regulated compared with the POCD group. A total of 60 DE lncRNAs were identified, including 16 up- and 44 down-regulated lncRNAs in the Dex group. KEGG pathway analysis revealed that DElncRNAs were significantly enriched in cytokine-cytokine receptor interactions, the p53 signaling pathway, and the NF-kappa B signaling pathway. The qRT-PCR results and ceRNA network suggested that the lncRNA LOC102546895 may play a key role in POCD. LOC102546895 inhibited proliferation while promoting apoptosis in microglial cells and promoted the mRNA and protein expression of the target gene Npas4. Our findings showed that Dex alleviated POCD in rats and regulated lncRNAs expression profile in the hippocampus tissues of rats with POCD. In conclusion, our study outcome proposes that Dex-regulated lncRNA LOC102546895 may play a role in rats with POCD through targeting Npas4.

Data-Independent Acquisition-Based Quantitative Proteomics Analysis Reveals Dynamic Network Profiles during the Macrophage Inflammatory Response

Understanding of the molecular regulatory mechanisms underlying the inflammatory response is incomplete. The present study focuses on characterizing the proteome in a model of inflammation in macrophages treated with lipopolysaccharide (LPS). A total of 3597 proteins are identified in macrophages with the data-independent acquisition (DIA) method. Bioinformatic analyses reveal discrete modules and the underlying molecular mechanisms, as well as the signaling network that modulates the development of inflammation. It is found that a total of 87 differentially expressed proteins are shared by all stages of LPS-induced inflammation in macrophages and that 18 of these proteins participate in metabolic processes by forming a tight interaction network. Data support the hypothesis that ribosome proteins play a key role in regulating the macrophage response to LPS. Interestingly, conjoint analyses of the transcriptome and proteome in macrophages treated with LPS reveal that the genes upregulated at both the mRNA and protein levels are mainly involved in inflammation and the immune response, whereas the genes downregulated are significantly enriched in metabolism-related processes. These results not only provide a more comprehensive understanding of the molecular mechanisms of inflammation mediated by bacterial infection but also provide a dynamic proteomic resource for further studies.