Immune Abnormalities Research Articles

MAPK1 knockdown ameliorated immune and inflammatory abnormalities in a mouse model of refractory asthma

Purpose: To evaluate the potential molecular mechanisms involved in refractory asthma in an animal model, and the potential therapeutic effect of MAPK1 knockdown on the disease.Methods: Eighteen female Institute of Cancer Research (ICR) mice, aged 8 - 10 weeks, were randomly divided into three groups: control, asthma model and refractory asthma, with 6 mice in each group. The expression of MAPK1 was knocked down in mice using an adenoviral vector. Subsequently, the methylation levels of MAPK1 promoter in mouse lung tissue were determined using methylation assays. Hematoxylin and eosin (H&E) staining and Periodic Acid-Schiff (PAS) staining were used to determine inflammatory and histological changes in lung tissues. Levels of immune cells were determined using flow cytometry, while Western blotting was used to measure the protein expression levels of ERK1/2, JNK, MEK1/2 and p38.Results: Methylation assay results show that mean methylation level of cg11335969 locus was significantly reduced in the refractory asthma mouse model (p < 0.05). The levels of IgG1 and IgM in refractory asthmatic mice were reduced after MAPK1 knockdown. There was a significantly reduced degree of lung lesions in mice (p < 0.05), as was reflected in effectively decreased histopathological changes. Protein levels of ERK1/2, JNK, MEK1/2 and p38, and the levels of neutrophils, dendritic cells, and macrophages were significantly decreased (p < 0.05).Conclusion: There is hypermethylated modification of MAPK1 at cg11335969 site in refractory asthma mouse model. Knockdown of MAPK1 attenuates inflammation and tissue damage, and reverses abnormal immune cell numbers in refractory asthma mice. Thus, MAPK1 inhibition may be a novel strategy for ameliorating immune abnormalities in refractory asthma.

Pan-Immune-Inflammation Index as a Biomarker for Rheumatoid Arthritis Progression and Diagnosis.

Introduction Rheumatoid arthritis (RA) is a chronic autoimmune condition that causes systemic inflammation and affects multiple joints. It is characterized by joint warmth, swelling, pain, and the formation of invasive synovial tissue known as pannus, which contributes to cartilage and bone degradation.Pan-immune-inflammation value (PIV), a marker derived from complete blood count parameters, has shown promise in predicting prognosis in various cancer types and pediatric conditions associated with immune abnormalities. This study aims to explore the relationship between RA, characterized by chronic inflammation and immune system involvement, and PIV, potentially shedding light on novel insights into RA's clinical implications. Methods One hundred four participants, including 64 RA patients (both newly diagnosed and established cases) and 40 healthy controls, were included in the study. Exclusion criteria for RA patients included acute infection, cancer, diabetes, or chronic illness, while control participants were excluded for inflammatory disorders, active infection, diabetes, or malignancy. We assessed disease severity using Disease Activity Score 28 (DAS 28) and obtained complete blood count values, including neutrophil, lymphocyte, platelet, monocyte, and red cell distribution width. C-reactive peptide (CRP) and erythrocyte sedimentation rate were also added.Statistical analyses included correlation assessments, t-tests, Mann-Whitney U tests, and multivariate linear regression. A multiclass receiver operating characteristic analysis determined optimal PIV cut-off values for distinguishing control, remission, and active RA groups, with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and odds ratios calculated. Results This study comprised a cohort of 104 participants, with a median age of 43.5±17.5. The Remission group was significantly younger than the Control group (p=0.006)but not compared to the Active RA group (p=0.393). CRPlevels were significantly higher in the Active RA group (p<0.001). Neutrophil counts were highest in the Active RA group (p<0.001), as were monocyte counts. Lymphocyte counts were significantly lower in the Active RA group (p<0.001). There were no significant differences in sedimentation rate, hemoglobin, platelet count, and mean platelet volume. PIVwas significantly elevated in the Active RA group (p<0.001) and higher in the Remission group than in the Control group (p=0.001).A PIV value of 353.48 exhibited 71.4% sensitivity, 86.2% specificity, 86.2% PPV, 71.4% NPV, and 78.13% test accuracy for distinguishing active rheumatoid arthritis (p<0.001).A PIV value exceeding 353.48 substantially increased the likelihood of a patient belonging to the active rheumatoid arthritis group, with a 14.62-fold higher probability.Furthermore, the study explored the relationship between clinical and laboratory variables and disease activity in RA patients, finding significant differences inPIV among DAS groups (p=0.025). Conclusions The PIV offers a notable advantage as its constituent parameters are routinely assessed in rheumatoid arthritisand involve cost-effective and straightforward tests. We demonstrated that PIV serves as a valuable marker for distinguishing between remission and active RA when compared to healthy individuals. Additionally, it proved to be an effective tool for assessing disease activity in patients with active rheumatoid arthritis.

THU641 Single-cell Transcriptomic Analysis Reveal Dysregulated Immune Modulation In The Pituitaries Of Letrozole-induced Mouse Model Of PCOS

Abstract Disclosure: G. De Robles: None. The most common endocrine disorder, affecting both the reproduction and metabolism of females, is polycystic ovary syndrome (PCOS). Characterizations of the heterogeneous disorder include anovulation, biochemical hyperandrogenemia, insulin resistance, and obesity, which can be recapitulated with a letrozole-induced PCOS mouse model. Immune abnormalities have also been reported in PCOS human patients, including pro-inflammatory factor secretion imbalance and endothelial cell dysfunction. The extent to which the letrozole-induced mouse model for PCOS can represent these immune dysregulations remain unclear, specifically its relevance to disrupting hormone-regulating centers, such as the pituitary gland. Using a PCOS mouse model developed via letrozole induction, we performed single-cell mRNA sequencing on the pituitaries to study impairment in hormone activity and immune regulation. We also carried out a multiplexed immunoassay on stimulated splenocytes to profile cytokines under different immune cell activations. We identified B cells, neutrophils, microglia, T memory cells, and interestingly, sub-populations of macrophages in the pituitary. Differential expression analysis revealed affected genes in the total macrophages of PCOS mice, such as the up-regulation of Pf4, Il1a, and Ccl7. Differentially expressed genes, such as Lyz2, Ctss, Apoe, and H2-Aa, were also down-regulated in the T memory cells of PCOS mice. Pituitary cell types also exhibited dysregulated expressions, including lactotropes, corticotropes, gonadotropes, and somatotropes. Differences in cytokine expression from the multiplex immunoassays also allowed the mice to be distinct from those treated with letrozole or not via principal component analysis. Altogether, the letrozole-treated mice presented disrupted immune responses and hormonal imbalances in their transcription and cytokine profiles that further strengthens their ability to model PCOS. Presentation: Thursday, June 15, 2023

FRI534 Influence Of Radioiodine Therapy Of Huge Thyroid Goiter On The Development Of Autoimmune Thyroid Disease In Retreated Patents

Abstract Disclosure: A. Skoczylas: None. A. Kluza: None. E.C. Lubocka: None. W. Mularczyk: None. M. Zyla: None. K. Fortuna: None. I. Linkert: None. J. Raniszewska: None. M. Skoczylas: None. P. Piwkowski: None. A. Golebiowska: None. A. Partyka: None. P. Wozniak: None. D. Jedrzejuk: None. The aim of this study was to estimate the levels of thryoid antibodies: aTPO, aTG and TRAb in basic conditions and after subsequent radioactive iodine (I-131) administrations in patients with huge nodular goiter and to assess whether subsequent doses of I-131 alter these levels. Methods 260 patients 199F/61M aged 41-88 years with mean TSH concentration of 1.0 and nodular goiter of mean weight 93g (35-364g) assessed on iodine scintigraphy, with contraindications to surgical treatment were enrolled to this study. These patients were qualified for I-131 cytoreduction. The activity planned for treatment was divided into fractionated doses of 0.8 GBq, which were given at 3-month intervals up to 4 times. Before each treatment, as well as 3 months after the last one, immunological and biochemical tests were performed. Elevated levels of aTPO and aTG were confirmed in 33 qualified patients. Statistics The statistical significance of differences in antibody concentrations between rounds was measured using the Skillings-Mack nonparametric test (SM-t). Dunn-Bonferroni post hoc method (DB) was used to assess the significance of pairwise differences in antibody levels between studies. Correlations between changes in antibody levels and goiter parameters were studied using the Spearman's Rank correlation - a value of p&amp;lt;0.05 was taken as significant. Results The SM-t showed that there was a statistical difference in TRAb resulting from the I-131 administration SM-t=42.35, p&amp;lt;0.001. DB test showed a significant increase in TRAb levels compared to baseline Me=0.30 from the second I-131 administration Me=0.35, p&amp;lt;0.01, but exceeded the upper normal range in only 6 patients. The first treatment did not change TRAb levels Me=0.30, p&amp;gt;0.05 significantly. The SM-t showed a statistical difference in aTG levels SM-t=38.74, p&amp;lt;0.01. DB analysis showed that compared to the baseline Me=11.60, the level had already changed significantly from the first administration of I-131 Me=13.50, p&amp;lt;0.01, and retreatments no longer changed the concentration of aTG significantly. Retreatments resulted in significant differences in aTPO SM-t=16.08, p&amp;lt;0.01, but DB test did not specifically indicates between which I-131 administrations these differences were significant. In the group with baseline immune abnormalities, statistical analysis indicated the existence of differences in TRAb SM-t=1.63, p&amp;lt;0.05 and aTPO SM-t=17.72, p&amp;lt;0.05 levels, but no significant correlation was observed between changes in the level of tested antibodies and changes in descriptive goiter parameters. Conclusion Initial I-131 therapy did not change the TRAb concentration, but subsequent treatments led to a significant increase in TRAb concentrations compared to baseline measurements. The concentration of aTG significantly increased immediately after the first I-131 therapy but subsequent treatments no longer changed their concentration Presentation: Friday, June 16, 2023

Mechanisms underlying the beneficial effects of physical exercise on multiple sclerosis: focus on immune cells.

Multiple sclerosis (MS) is a prevalent neuroimmunological illness that leads to neurological disability in young adults. Although the etiology of MS is heterogeneous, it is well established that aberrant activity of adaptive and innate immune cells plays a crucial role in its pathogenesis. Several immune cell abnormalities have been described in MS and its animal models, including T lymphocytes, B lymphocytes, dendritic cells, neutrophils, microglia/macrophages, and astrocytes, among others. Physical exercise offers a valuable alternative or adjunctive disease-modifying therapy for MS. A growing body of evidence indicates that exercise may reduce the autoimmune responses triggered by immune cells in MS. This is partially accomplished by restricting the infiltration of peripheral immune cells into the central nervous system (CNS) parenchyma, curbing hyperactivation of immune cells, and facilitating a transition in the balance of immune cells from a pro-inflammatory to an anti-inflammatory state. This review provides a succinct overview of the correlation between physical exercise, immune cells, and MS pathology, and highlights the potential benefits of exercise as a strategy for the prevention and treatment of MS.

Establishment and validation of an immune infiltration predictive model for ovarian cancer

BackgroundThe most prevalent mutation in ovarian cancer is the TP53 mutation, which impacts the development and prognosis of the disease. We looked at how the TP53 mutation associates the immunophenotype of ovarian cancer and the prognosis of the disease.MethodsWe investigated the state of TP53 mutations and expression profiles in culturally diverse groups and datasets and developed an immune infiltration predictive model relying on immune-associated genes differently expressed between TP53 WT and TP53 MUT ovarian cancer cases. We aimed to construct an immune infiltration predictive model (IPM) to enhance the prognosis of ovarian cancer and investigate the impact of the IPM on the immunological microenvironment.ResultsTP53 mutagenesis affected the expression of seventy-seven immune response-associated genes. An IPM was implemented and evaluated on ovarian cancer patients to distinguish individuals with low- and high-IPM subgroups of poor survival. For diagnostic and therapeutic use, a nomogram is thus created. According to pathway enrichment analysis, the pathways of the human immune response and immune function abnormalities were the most associated functions and pathways with the IPM genes. Furthermore, patients in the high-risk group showed low proportions of macrophages M1, activated NK cells, CD8+ T cells, and higher CTLA-4, PD-1, PD-L1, and TIM-3 than patients in the low-risk group.ConclusionsThe IPM model may identify high-risk patients and integrate other clinical parameters to predict their overall survival, suggesting it is a potential methodology for optimizing ovarian cancer prognosis.

Blood transcriptomic markers associated with immune abnormalities and sleep quality

Blood transcriptomic markers associated with immune abnormalities and sleep quality

Gut barrier defects, intestinal immune hyperactivation and enhanced lipid catabolism drive lethality in NGLY1-deficient Drosophila

Intestinal barrier dysfunction leads to inflammation and associated metabolic changes. However, the relative impact of gut bacteria versus non-bacterial insults on animal health in the context of barrier dysfunction is not well understood. Here, we establish that loss of Drosophila N-glycanase 1 (Pngl) in a specific intestinal cell type leads to gut barrier defects, causing starvation and JNK overactivation. These abnormalities, along with loss of Pngl in enterocytes and fat body, result in Foxo overactivation, leading to hyperactive innate immune response and lipid catabolism and thereby contributing to lethality. Germ-free rearing of Pngl mutants rescued their developmental delay but not lethality. However, raising Pngl mutants on isocaloric, fat-rich diets partially rescued lethality. Our data indicate that Pngl functions in Drosophila larvae to establish the gut barrier, and that the lethality caused by loss of Pngl is primarily mediated through non-bacterial induction of immune and metabolic abnormalities.

Exploration of common genomic signatures of systemic juvenile rheumatoid arthritis and type 1 diabetes

To explore the genetic characteristics of systemic juvenile rheumatoid arthritis (sJRA) and type 1 diabetes mellitus (T1D). The microarray data of sJRA and T1D from Gene Expression Omnibus (GEO) were analyzed. The shared differentially expressed genes (SDEGs) were identified by the Meta-analysis, and genes of extracellular proteins were identified. Then, transcription factors (TFs) and their target genes in SDEGs were obtained by comparing databases from HumanTFDB, and hTFtarget. After that, functional enrichment analyses of the previously identified gene sets were performed by metascape tool. Finally, immune infiltration was analysed by CIBERSORT. We found 175 up-regulated and 245 down-regulated SDEGs, and by constructing a TFs-targeted SDEGs network, 3 key TFs (ARID3A, NEF2, RUNX3) were screened. Functional enrichment analyses and immune infiltration results suggested not only the adaptive immune system but also the innate immune system, and signaling pathways like JAK-STAT are important in the pathogenesis of sJRA and T1D, involving biological processes such as CD4 T cell functions and neutrophil degranulation. This work suggests that innate immune abnormalities also play important roles in sJRA and T1D, CD4 T cell functions, neutrophil degranulation and the JAK-STAT pathway may be involved. The regulatory roles of ARID3A, NEF2, and RUNX3 in this network need to be further investigated.

Increased ILT2+ natural killer T cells correlate with disease activity in systemic lupus erythematosus.

Numerous immune cell types, such as B and T lymphocytes, natural killer cells (NK), and NKT cells, are related to the pathogenesis of diseases in systemic lupus erythematosus (SLE). Our goal in this investigation is to examine the phenotype of NK cells and NKT cells alterations in individuals with SLE. Typically, 50 SLE patients and 24 age-matched healthy people had their PBMCs obtained. Employing flow cytometry, the phenotype of NK and NKT cells and immunoglobulin-like transcript 2 (ILT2) expressions were identified. ELISA was utilized to evaluate the amounts of interleukin-15 (IL-15) and sHLA-G in the serum. The frequencies of the circulating NK and NKT cells in individuals with SLE were decreased compared to healthy controls. Furthermore, ILT2 expression was significantly increased in NKT cells, but showed no obvious change in NK cells. Clinical severity and active nephritis were substantially associated with ILT2+ NKT cell frequencies. The correlation study showed that the upregulation of ILT2 expression was related to sHLA-G in plasma but not to IL-15. ILT2+ NKT cells have a vital function in the immune abnormalities of SLE, which can also supply a viable goal for therapeutic intervention. Key Points •ILT2 expression was significantly increased in NKT cells in SLE patients. •ILT2+ NKT cell frequencies were associated with clinical severity which may be used as an indicator for evaluating disease activity in patients with SLE.

Identification of potential hub genes linked to immune and metabolic alterations in postoperative systemic inflammatory dysregulation.

Postoperative systemic inflammatory dysregulation (PSID) is characterised by strongly interlinked immune and metabolic abnormalities. However, the hub genes responsible for the interconnections between these two systemic alterations remain to be identified. We analysed differentially expressed genes (DEGs) of individual peripheral blood nucleated cells in patients with PSID (n = 21, CRP > 250 mg/L) and control patients (n = 25, CRP < 75 mg/L) following major abdominal surgery, along with their biological functions. Correlation analyses were conducted to explore the interconnections of immune-related DEGs (irDEGs) and metabolism-related DEGs (mrDEGs). Two methods were used to screen hub genes for irDEGs and mrDEGs: we screened for hub genes among DEGs via 12 algorithms using CytoHubba in Cytoscape, and also screened for hub immune-related and metabolic-related genes using weighted gene co-expression network analysis. The hub genes selected were involved in the interaction between changes in immunity and metabolism in PSID. Finally, we validated our results in mice with PSID to confirm the findings. We identified 512 upregulated and 254 downregulated DEGs in patients with PSID compared with controls. Gene enrichment analysis revealed that DEGs were significantly associated with immune- and metabolism-related biological processes and pathways. Correlation analyses revealed a close association between irDEGs and mrDEGs. Fourteen unique hub genes were identified via 12 screening algorithms using CytoHubba in Cytoscape and via weighted gene co-expression network analysis. Among these, CD28, CD40LG, MAPK14, and S100A12 were identified as hub genes among both immune- and metabolism-related genes; these genes play a critical role in the interaction between alterations in immunity and metabolism in PSID. The experimental results also showed that the expression of these genes was significantly altered in PSID mice. This study identified hub genes associated with immune and metabolic alterations in patients with PSID and hub genes that link these alterations. These findings provide novel insights into the mechanisms underlying immune and metabolic interactions and new targets for clinical treatment can be proposed on this basis.

Clinical and immunological characterisation of patients with common variable immunodeficiency related immune thrombocytopenia

Primary Immune thrombocytopenia (ITP) is an autoimmune disease. Secondary ITP occurs in patients with underlying diseases such as common variable immunodeficiency (CVID). CVID is one of the most common symptomatic primary immunodeficiencies in adults, characterised by infectious and non-infectious symptoms. Amongst CVID patients, ITP is the most frequent autoimmune manifestation. In this single-centre study, we performed a clinical and immunological characterisation of 20 patients with CVID-related ITP and 20 ITP patients without CVID to compare severity and remission rates. We found that patients with CVID-related ITP had a higher WHO Bleeding Scale at initial diagnosis yet showed higher remission rates and required less treatment. Patients with ITP needed up to seven therapy options and were often treated with second-line drug therapy, whilst only one CVID-related ITP patient required second-line drug therapy. Therefore, we show that the course of thrombocytopenia in patients with CVID-related ITP is milder. Furthermore, we show that soluble interleukin-2 receptor (sIL-2R, CD25) was higher in CVID-related ITP compared to ITP patients and could accurately classify patient cohorts with an Area Under the Receiver Operating Characteristic of 0.92. Whilst none of the ITP patients had a history of immunodeficiency, we found immunological abnormalities in 12 out of 18 patients. Therefore, we recommend screening ITP patients for CVID and other immunodeficiencies to detect immune abnormalities early, as we found patients with reduced immunoglobulin levels as well as severe lymphocytopenia in our ITP cohort.

Identifying Aging-Related Biomarkers and Immune Infiltration Features in Diabetic Nephropathy Using Integrative Bioinformatics Approaches and Machine-Learning Strategies.

Aging plays an essential role in the development of diabetic nephropathy (DN). This study aimed to identify and verify potential aging-related genes associated with DN using bioinformatics analysis. To begin with, we combined the datasets from GEO microarrays (GSE104954 and GSE30528) to find the genes that were differentially expressed (DEGs) across samples from DN and healthy patient populations. By overlapping DEGs, weighted co-expression network analysis (WGCNA), and 1357 aging-related genes (ARGs), differentially expressed ARGs (DEARGs) were discovered. We next performed functional analysis to determine DEARGs' possible roles. Moreover, protein-protein interactions were examined using STRING. The hub DEARGs were identified using the CytoHubba, MCODE, and LASSO algorithms. We next used two validation datasets and Receiver Operating Characteristic (ROC) curves to determine the diagnostic significance of the hub DEARGs. RT-qPCR, meanwhile, was used to confirm the hub DEARGs' expression levels in vitro. In addition, we investigated the relationships between immune cells and hub DEARGs. Next, Gene Set Enrichment Analysis (GSEA) was used to identify each biomarker's biological role. The hub DEARGs' subcellular location and cell subpopulations were both identified and predicted using the HPA and COMPARTMENTS databases, respectively. Finally, drug-protein interactions were predicted and validated using STITCH and AutoDock Vina. A total of 57 DEARGs were identified, and functional analysis reveals that they play a major role in inflammatory processes and immunomodulation in DN. In particular, aging and the AGE-RAGE signaling pathway in diabetic complications are significantly enriched. Four hub DEARGs (CCR2, VCAM1, CSF1R, and ITGAM) were further screened using the interaction network, CytoHubba, MCODE, and LASSO algorithms. The results above were further supported by validation sets, ROC curves, and RT-qPCR. According to an evaluation of immune infiltration, DN had significantly more resting mast cells and delta gamma T cells but fewer regulatory T cells and active mast cells. Four DEARGs have statistical correlations with them as well. Further investigation revealed that four DEARGs were implicated in immune cell abnormalities and regulated a wide range of immunological and inflammatory responses. Furthermore, the drug-protein interactions included four possible therapeutic medicines that target four DEARGs, and molecular docking could make this association practical. This study identified four DEARGs (CCR2, VCAM1, CSF1R, and ITGAM) associated with DN, which might play a key role in the development of DN and could be potential biomarkers in DN.

Exploring the mechanisms of long COVID: Insights from computational analysis of SARS-CoV-2 gene expression and symptom associations.

Long coronavirus disease(COVID) has emerged as a global health issue, affecting a substantial number of people worldwide. However, the underlying mechanisms that contribute to the persistence of symptoms in long COVID remain obscure, impeding the development of effective diagnostic and therapeutic interventions. In this study, we utilized computational methods to examine the gene expression profiles of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) infection and their associations with the wide range of symptoms observed in long COVID patients. Using a comprehensive data set comprising over 255 symptoms affecting multiple organ systems, we identified differentially expressed genesand investigated their functional similarity, leading to the identification of key genes with the potential to serve as biomarkers for long COVID. We identified the participation of hub genes associated with G-protein-coupled receptors (GPCRs), which are essential regulators of T-cell immunity and viral infection responses. Among the identified common genes were CTLA4, PTPN22, KIT, KRAS, NF1, RET, and CTNNB1, which play a crucial role in modulating T-cell immunity via GPCR and contribute to a variety of symptoms, including autoimmunity, cardiovascular disorders, dermatological manifestations, gastrointestinal complications, pulmonary impairments, reproductive and genitourinary dysfunctions, and endocrine abnormalities. GPCRs and associated genes are pivotal in immune regulation and cellular functions, and their dysregulation may contribute to the persistent immune responses, chronic inflammation, and tissue abnormalities observed in long COVID. Targeting GPCRs and their associated pathways could offer promising therapeutic strategies to manage symptoms and improve outcomes for those experiencing long COVID. However, the complex mechanisms underlying the condition require continued study to develop effective treatments. Our study has significant implications for understanding the molecular mechanisms underlying long COVID and for identifying potential therapeutic targets. In addition, we have developed a comprehensive website (https://longcovid.omicstutorials.com/) that provides a curated list of biomarker-identified genes and treatment recommendations for each specific disease, thereby facilitating informed clinical decision-making and improved patient management. Our study contributes to the understanding of this debilitating disease, paving the way for improved diagnostic precision, and individualized therapeutic interventions.

Aggravation of lipopolysaccharide-induced depressive-like behavior in CCR4-deficient mice

Increasing evidence indicates that immune abnormalities are associated with the pathogenesis of depression. CCR4 is a chemokine receptor that regulates regulatory T cell (Treg) and Th17 cell migration. Here, using a lipopolysaccharide (LPS)-induced depression mouse model, we demonstrated that CCR4 deficiency exacerbated depressive-like behavior. Tregs and M2 macrophages, but not Th17 cells, were decreased in the brain of CCR4-deficient mice. Consistently, treatment with a CCR4 inhibitor reduced Tregs and M2 macrophages in the brain and exacerbated depressive-like behavior. Thus, CCR4 may contribute to the reduction of depressive symptoms by promoting Treg recruitment to the brain and subsequent M2 macrophage polarization.

The immunological and structural epidermal barrier dysfunction and skin microbiome in atopic dermatitis-an update.

Atopic dermatitis (AD) is a common, chronic and relapsing inflammatory skin disease with various clinical presentations and combinations of symptoms. The pathophysiology of AD is complex and multifactorial. There are several factors involved in the etiopathogenesis of AD including structural and immunological epidermal barrier defect, imbalance of the skin microbiome, genetic background and environmental factors. Alterations in structural proteins, lipids, proteases, and their inhibitors, lead to the impairment of the stratum corneum which is associated with the increased skin penetration and transepidermal water loss. The elevated serum immunoglobulin E levels and blood eosinophilia have been shown in the majority of AD patients. Type 2 T-helper cell immune pathway with increased expression of interleukin (IL)-4, IL-5, and IL-13, has an important role in the etiopathogenesis of AD. Both T cells and keratinocytes contribute to epidermal barrier impairment in AD via a dynamic interaction of cytokines and chemokines. The skin microbiome is another factor of relevance in the etiopathogenesis of AD. It has been shown that during AD flares, Staphylococcus aureus (S. aureus) colonization increased, while Staphylococcus epidermidis (S. epidermidis) decreased. On the contrary, S. epidermidis and species of Streptococcus, Corynebacterium and Propionibacterium increased during the remision phases. However, it is not clear whether skin dysbiosis is one of the symptoms or one of the causes of AD. There are several therapeutic options, targeting these pathways which play a critical role in the etiopathogenesis of AD. Although topical steroids are the mainstay of the treatment of AD, new biological therapies including IL-4, IL-13, and IL-31 inhibitors, as well as Janus kinase inhibitors (JAKi), increasingly gain more importance with new advances in the therapy of AD. In this review, we summarize the role of immunological and structural epidermal barrier dysfunction, immune abnormalities, impairment of lipids, filaggrin mutation and skin microbiome in the etiopathogenesis of AD, as well as the therapeutic options for AD and their effects on these abnormalities in AD skin.

Longitudinal analysis of immune reconstitution and metabolic changes in women living with HIV: A real-world observational study.

Women comprise more than half of people living with human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) worldwide and incomplete immune recovery and metabolic abnormalities affect them deeply. Studies of HIV antiretroviral therapy (ART) have a low female representation in China, we aimed to investigate immune reconstitution and metabolic changes of female HIV-positive cohort in China longitudinally. HIV-positive women who initiated ART from January 2005 to June 2021 and were followed up regularly at least once a year were included in this study. Immunological indicators (cluster of differentiation 4 [CD4] counts and CD8 counts), viral load (VL), and metabolic indicators were collected at follow-up. All data were collected from the China Disease Prevention and Control Information System (CDPCIS). VL was tested half a year, 1 year after receiving ART, and every other year subsequently according to local policy. CD4/CD8 ratio normalization was considered as the primary outcome and defined as a value ≥1. Incidence rate and probability of CD4/CD8 ratio normalization were estimated through per 100 person-years follow-up (PYFU) and Kaplan-Meier curve, respectively. Multivariate Cox regression was used to identify independent risk factors associated with CD4/CD8 ratio normalization. We further studied the rate of dyslipidemia, hyperuricemia, diabetes, liver injury, and renal injury after ART initiation with the chi-squared tests or Fisher's exact probability tests, and a generalized estimating equation model was used to analyze factors of dyslipidemia and hyperuricemia. A total of 494 female patients with HIV/AIDS started ART within 16 years from January 2005 to June 2021, out of which 301 women were enrolled with a median duration of ART for 4.1 years (interquartile range, 2.3-7.0 years). The overall incidence rate of CD4/CD8 ratio normalization was 8.9 (95% confidence interval [CI], 7.4-10.6) per 100 PYFU, and probabilities of CD4/CD8 normalization after initiating ART at 1 year, 2 years, 5 years, and 10 years follow-up were 11.7%, 23.2%, 44.0%, and 59.0%, respectively. Independent risk factors associated with CD4/CD8 normalization were baseline CD4 cell counts <200 cells/μL, CD8 counts >1000 cells/μL, and more than 6 months from the start of combined ART (cART) to first virological suppression. Longitudinally, the rate of hypercholesterolemia (total cholesterol [TC]) and high triglyceride (TG) showed an increasing trend, while the rate of low high-density lipoprotein cholesterol (HDL) showed a decreasing trend. The rate of hyperuricemia presented a downtrend at follow-up. Although liver and renal injury and diabetes persisted during ART, the rate was not statistically significant. Older age and protease inhibitors were independent risk factors for increase of TC and TG, and ART duration was an independent factor for elevation of TC and recovery of HDL-C. This study showed that women were more likely to normalize CD4/CD8 ratio in comparison with findings reported in the literature even though immune reconstruction was incomplete.

Intrapatient comparison of atopic dermatitis skin transcriptome shows differences between tape-strips and biopsies.

Our knowledge of etiopathogenesis of atopic dermatitis (AD) is largely derived from skin biopsies, which are associated with pain, scarring and infection. In contrast, tape-stripping is a minimally invasive, nonscarring technique to collect skin samples. To construct a global AD skin transcriptomic profile comparing tape-strips to whole-skin biopsies, we performed RNA-seq on tape-strips and biopsies taken from the lesional skin of 20 moderate-to-severe AD patients and the skin of 20 controls. Differentially expressed genes (DEGs) were defined by fold-change (FCH) ≥2.0 and false discovery rate <0.05. We detected 4104 (2513 Up; 1591 Down) and 1273 (546 Up; 727 Down) DEGs in AD versus controls, in tape-strips and biopsies, respectively. Although both techniques captured dysregulation of key immune genes, tape-strips showed higher FCHs for innate immunity (IL-1B, IL-8), dendritic cell (ITGAX/CD11C, FCER1A), Th2 (IL-13, CCL17, TNFRSF4/OX40), and Th17 (CCL20, CXCL1) products, while biopsies showed higher upregulation of Th22 associated genes (IL-22, S100As) and dermal cytokines (IFN-γ, CCL26). Itch-related genes (IL-31, TRPV3) were preferentially captured by tape-strips. Epidermal barrier abnormalities were detected in both techniques, with terminal differentiation defects (FLG2, PSORS1C2) better represented by tape-strips and epidermal hyperplasia changes (KRT16, MKI67) better detected by biopsies. Tape-strips and biopsies capture overlapping but distinct features of the AD molecular signature, suggesting their respective utility for monitoring specific AD-related immune, itch, and barrier abnormalities in clinical trials and longitudinal studies.

The applications of functional materials-based nano-formulations in the prevention, diagnosis and treatment of chronic inflammation-related diseases.

Chronic inflammation, in general, refers to systemic immune abnormalities most often caused by the environment or lifestyle, which is the basis for various skin diseases, autoimmune diseases, cardiovascular diseases, liver diseases, digestive diseases, cancer, and so on. Therapeutic strategies have focused on immunosuppression and anti-inflammation, but conventional approaches have been poor in enhancing the substantive therapeutic effect of drugs. Nanomaterials continue to attract attention for their high flexibility, durability and simplicity of preparation, as well as high profitability. Nanotechnology is used in various areas of clinical medicine, such as medical diagnosis, monitoring and treatment. However, some related problems cannot be ignored, including various cytotoxic and worsening inflammation caused by the nanomaterials themselves. This paper provides an overview of functional nanomaterial formulations for the prevention, diagnosis and treatment of chronic inflammation-related diseases, with the intention of providing some reference for the enhancement and optimization of existing therapeutic approaches.

TXLNA enhances TBK1 phosphorylation by suppressing PPM1B recruitment

In recent years, there has been a notable increase in cancer incidence and mortality, and immune abnormalities have been closely linked to malignancy development. TANK-binding kinase 1 (TBK1) is a non-classical IκB kinase that regulates interferon and NF-κB signaling pathways and plays a crucial role in innate immunity. Recent studies have shown high expression levels of TBK1 and increased activity in various tumor cells, suggesting its involvement in the development and progression of multiple cancers. Targeting TBK1 for tumor therapy may be a possibility. However, little is known about the abnormal activation and dynamic regulation of TBK1 in cancer. First, we utilized the BioID biotinylation technique combined with TMT-based quantitative proteomics to analyze the TBK1 interacting proteins. Our results revealed that TXLNA interacts with TBK1 and binds to the α-helical scaffold of TBK1. The expression of TXLNA could affect the S172 phosphorylation of TBK1. PPM1B is a phosphatase that can dephosphorylate TBK1 S172, so we used the APEX2 proximity labeling technique combined with TMT-based quantitative proteomics to explore the interacting proteins of PPM1B and search for the regulatory pathway of TXLNA on TBK1 phosphorylation. We found that PPM1B interacts with TXLNA. Based on these results, we further found that TXLNA impairs the binding of PPM1B to TBK1, inhibiting the dephosphorylation of TBK1 and contributing to the abnormal enhancement of TBK1 activity in cancer cells. This study sheds light on the potential mechanism of aberrant activation and dynamic regulation of TBK1 in tumors and provides a potential target for tumor therapy.