TLR4 Gene Research Articles

Genetic polymorphism in European and African sheep breeds reared in Hungary based on 48 SNPs associated with resistance to gastrointestinal parasite infection using KASP-PCR technique

This pilot study used an alternative and economically efficient technique, the Kompetitive Allele-Specific Polymerase Chain Reaction (KASP-PCR) to examine 48 SNPs from 11 parasite-resistance genes found on 8 chromosomes in 110 animals from five sheep breeds reared in Hungary; Hungarian Tsigai, White Dorper, Dorper, Ile de France, and Hungarian Merino. Allele and genotype frequencies, fixation index, observed heterozygosity, expected heterozygosity, F statistic, and their relationship with the Hardy–Weinberg equilibrium (WHE) and the polymorphic information content (PIC) were determined, followed by principal component analysis (PCA). As much as 32 SNPs out of the 48 initially studied were successfully genotyped. A total of 9 SNPs, 4 SNPs in TLR5, 1 SNP in TLR8, and 4 SNPs in TLR2 genes, were polymorphic. The variable genotype and allele frequency of the TLRs gene indicated genetic variability among the studied sheep breeds, with the Hungarian Merino exhibiting the most polymorphisms, while Dorper was the population with the most SNPs departing from the HWE. According to the PIC value, the rs430457884-TLR2, rs55631273-TLR2, and rs416833129-TLR5 were found to be informative in detecting polymorphisms among individuals within the populations, whereas the rs429546187-TLR5 and rs424975389-TLR5 were found to have a significant influence in clustering the population studied. This study reported a moderate level of genetic variability and that a low to moderate within-breed diversity was maintained in the studied populations.

Statement of Retraction: A porous Co(II)–MOF for selective C2H2/CO2 separation and treatment activity on virus-induced COPD via reducing tlr3 gene expression

This article refers to:A porous Co(II)–MOF for selective C2H2/CO2 separation and treatment activity on virus-induced COPD via reducing tlr3 gene expression

162 The Effect of Innate Immune Receptor Activation on Differential Breed Responses toHaemonchus Contortus in Sheep

Abstract Previous studies have indicated the importance of Nod-like receptor pyrin containing domain 3 (NLRP3) to early immune response in St. Croix (STC) sheep. NLRP3 is important to Th2 immune response, which is the classical response to Haemonchus contortus larval antigen (HcLA). Th2 response is driven by interleukin (IL) -4 and IL-13 cytokine production and early production prevents parasite establishment and further resistance as seen in STC response to LPS, classical NLRP3 activation. Distinct differences have been seen in the structure of NLRP3 between both STC and SUF. STC upregulates inflammatory genes NLRP3, TLR4 and TLR2 in response to LPS, while SUF showed delayed responses leading to their susceptibility. The objective of this study was to investigate the role of NLRP3 in differential breed response, in the context of Hc infection. P Peripheral blood mononuclear cells (PBMC) from both SUF and STC were isolated and stimulated with HcLA antigen only, HcLA antigen in combination with pharmacological inhibitor of NLRP3 (MCC950) and complete media for 6 hours. Gene expression revealed that treatment with MCC950 upregulated TLR2 (P < 0.001), TLR4 (P < 0.001), STAT6 (P < 0.001), IL-4 and IL-10 (P < 0.001) in SUF PBMC while STC showed an increase in IL-1β (P < 0.001). This indicates that inhibition of NLRP3 improves response of SUF to Hc antigen and confirms importance of NLRP3 to immune response in STC.

Role of mechanosensitive Piezo1 receptor expressed on macrophage in Periodontitis

Abstract Objectives: The mechanosensitive Ca 2+ion channels, Piezo1, converts the mechanical stimulus into cell signals in a variety of immune cells. However, the pathophysiological property of Piezo1 in the oral polymicrobial infectious disease of periodontitis is largely unknown. This study investigated the role of Piezo1 in the inflammatory and phagocytic reactions by RAW264.7 macrophages in response to the exposures to periodontal pathogen, P.gingivalis. Experimental methods: Short hairpin RNA (shRNA) vector for Piezo1 or control scrambled sequence was transfected to RAW264.7 cells. Then, RAW264.7 cells were incubated for 24 hours in the presence or absence of whole P.gingivalis(MOI; 10) or outer membrane vesicles (OMVs, 1 μg/ml) isolated from P.gingivalis, w or w/o Yoda1 (synthetic Piezo1 activator), or shear stress. qPCR was used to monitor the mRNA expressions of Piezo1, TNF-α, TLR-2, and TLR-4, whereas TNF-α protein was detected by ELISA. RAW264.7’s phagocytic ability was evaluated by cytoplasm-internalization of pHrodo-labeled whole P.gingivalisor OMVs using a flow cytometer. Results: OMVs induced more TNF-α production and phagocytosis by RAW264.7 cells than whole P.gingivalis, both of which were further upregulated by Yoda1 as well as shear stress (p<0.05, ANOVA). Shear stress combined with OMV-stimulation upregulated the gene expression of TLR-4, while downregulating TLR-2 gene in RAW264.7 cells. The shRNA-targeting Piezo1 significantly suppressed the TNF-α production and internalization of OMVs by RAW264.7 cells compared control scramble shRNA (p<0.05, ANOVA). Conclusion: The present study indicated that mechanical stress may dysregulate the macrophage-mediated innate immune responses in periodontitis. NIH NIDCR grants, DE-027851, DE-028715 and DE-029709

Identification of immunological bioprocesses involved in peri-implantitis using weighted gene co-expression network analysis.

Peri-implantitis is an irreversible infectious disease that occurs with high incidence. Exploring the immune responses of peri-implantitis is key to developing targeted treatment strategies. However, there is limited research on the immune response of peri-implantitis. This study performed a weighted gene co-expression network analysis to identify the peri-implantitis related gene network and conducted a functional enrichment analysis of the gene network. Thereafter, the candidate hub genes were selected by constructing a protein-protein interaction network and drawing an upset plot. The hub genes were identified through their significant associations with disease condition and validated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR) analysis. Using the gene set variation analysis, the hub genes were further used to explore infiltrating immunocytes and immune factors in peri-implantitis. Finally, the immunocytes and immune factor related hub genes were intersected to obtain the therapeutic target, which was validated using histological staining. The peri-implantitis related gene network was enriched in innate and adaptive immune response. Subsequently, interleukin (IL)1B, IL10, ITGAM, ITGB1, STAT3, and TLR4 were identified as hub genes. Plasmacytoid dendritic cells, macrophages, myeloid-derived suppressor cells, natural killer T cells, and immature B cells were positively and significantly related to the hub genes IL1B, TLR4, ITGAM, and ITGB1 (correlation coefficient>0.80). While immune factors CXCL10, IL6, and CXCL12 and hub genes IL10 and IL1B held the highest degree in the immune factors network. IL1B may be a promising therapeutic target. This study provides new insights into the hub genes, immunocytes, and immune factors underlying peri-implantitis immunological bioprocess.

Interplay among differential exposure to Mycobacterium leprae and TLR4 polymorphism impacts the immune response in household contacts of leprosy patients.

The aim of the present study was to investigate the association between the single nucleotide polymorphism (SNP) rs1927914 A/G in TLR4 gene and the immunological profile of household contacts (HHC) of leprosy patients. Leprosy classification is usually complex and requires the assessment of several clinical and laboratorial features. Herein, we have applied distinct models of descriptive analysis to explore qualitative/quantitative changes in chemokine and cytokine production in HHC further categorized according to operational classification [HHC(PB) and HHC(MB)] and according to TLR4SNP. Our results showed that M. leprae stimuli induced an outstanding production of chemokines (CXCL8;CCL2; CXCL9; CXCL10) by HHC(PB), while increase levels of pro-inflammatory cytokines (IL-6; TNF; IFN-γ; IL-17) were observed for HHC(MB). Moreover, the analysis of chemokine and cytokine signatures demonstrated that A allele was associated with a prominent soluble mediator secretion (CXCL8; CXCL9; IL-6; TNF; IFN-γ). Data analysis according to TLR4 SNP genotypes further demonstrated that AA and AG were associated with a more prominent secretion of soluble mediators as compared to GG, supporting the clustering of AA and AG genotypes into dominant genetic model. CXCL8, IL-6, TNF and IL-17 displayed distinct profiles in HHC(PB) vs HHC(MB) or AA+AG vs GG genotype. In general, chemokine/cytokine networks analysis showed an overall profile of AA+GA-selective (CXCL9-CXCL10) and GG-selective (CXCL10-IL-6) axis regardless of the operational classification. However, mirrored inverted CCL2-IL-10 axis and a (IFN-γ-IL-2)-selective axis were identified in HHC(MB). CXCL8 presented outstanding performance to classify AA+AG from GG genotypes and HHC(PB) from HHC(MB). TNF and IL-17 presented elevated accuracy to classify AA+AG from GG genotypes and HHC(PB) (low levels) from HHC(MB) (high levels), respectively. Our results highlighted that both factors: i) differential exposure to M. leprae and ii) TLR4 rs1927914 genetic background impact the immune response of HHC. Our main results reinforce the relevance of integrated studies of immunological and genetic biomarkers that may have implications to improve the classification and monitoring of HHC in future studies.

Potential role of EBV and Toll-like receptor 9 ligand in patients with systemic lupus erythematosus.

SLE is a multisystem autoimmune disease characterized by multiple immunological abnormalities including production of autoantibodies. While the etiology of SLE is largely unknown, it is generally accepted that both genetic and environmental factors contribute to disease risk and immune dysregulation. Production of IFN-α is important for protecting the host against infections; however, over stimulation of innate immune pathways can induce autoimmune disease. Environmental factors, particularly Epstein-Barr virus (EBV), have been proposed to play an important role in SLE disease. Improper engagement of Toll-like receptor (TLR) pathways by endogenous or exogenous ligands may lead to the initiation of autoimmune responses and tissue injury. EBV is shown to be a potent stimulant of IFN-α by TLR signaling cascades. Given the highlighted role of IFN-α in SLE pathogenesis and potential role of EBV infection in this disease, the present study is aimed at exploring the in vitro effects of EBV infection and CPG (either alone or in combination) on IFN-α. We also examined the expression level of CD20 and BDCA-4 and CD123 in PBMCs in 32 SLE patients and 32 healthy controls. Our results showed PBMCs treated with CPG-induced higher levels of IFN-α and TLR-9 gene expression fold change compared to cells treated with either EBV or EBV-CPG. Moreover, PBMCs treated with CPG produced significantly higher IFN-α concentration in supernatant compared to cells treated with EBV but not EBV-CPG. Our results further highlight the potential role of EBV infection and TLRs in SLE patients although more studies are warranted to ascertain the global imprint that EBV infection can have on immune signature in patients with SLE.

The Immunological Changes in the Skin of BALC/c Mice with Disseminated Acanthamoebiasis.

Toll-like receptors (TLR) are involved in the recognition of numerous pathogens, including Acanthamoeba spp. Thanks to this, it is possible for immune cells to recognize microorganisms and trigger the body's innate immune response. The stimulation of TLRs also leads to the activation of specific immunity. The aim of the study was to determine the TLR2 and TLR4 gene expression in the skin of BALC/c mice infected with Acanthamoeba with AM22 strain isolated from a patient. Receptor expression was assessed by real-time polymerase chain reaction (qPCR) in the amoeba-infected host with normal (A) and reduced immunity (AS) as well as in the control host with normal immunity (C) and reduced immunity (CS). Statistical analysis of TLR2 gene expression in A and AS groups compared to C and CS groups, respectively, were statistically insignificant. In the A group, we found statistical upregulation of TLR4 gene expression at 8 dpi compared to the C group. While in AS group, TLR4 gene expression was at a similar level, such as in the CS group. Taking into account the host's immune status, the TLR4 gene expression was statistically higher in the skin of host from A group than in host from AS group at the beginning of the infection. Increased TLR4 gene expression in hosts with normal immunity infected with Acanthamoeba suggests the involvement of the studied receptor in the course of acanthamoebiasis. The above research results provide new data on the involvement of the studied receptor in the skin in the host's immune defense triggered during the Acanthamoeba infection.

Deep learning on graphs for multi-omics classification of COPD.

Network approaches have successfully been used to help reveal complex mechanisms of diseases including Chronic Obstructive Pulmonary Disease (COPD). However despite recent advances, we remain limited in our ability to incorporate protein-protein interaction (PPI) network information with omics data for disease prediction. New deep learning methods including convolution Graph Neural Network (ConvGNN) has shown great potential for disease classification using transcriptomics data and known PPI networks from existing databases. In this study, we first reconstructed the COPD-associated PPI network through the AhGlasso (Augmented High-Dimensional Graphical Lasso Method) algorithm based on one independent transcriptomics dataset including COPD cases and controls. Then we extended the existing ConvGNN methods to successfully integrate COPD-associated PPI, proteomics, and transcriptomics data and developed a prediction model for COPD classification. This approach improves accuracy over several conventional classification methods and neural networks that do not incorporate network information. We also demonstrated that the updated COPD-associated network developed using AhGlasso further improves prediction accuracy. Although deep neural networks often achieve superior statistical power in classification compared to other methods, it can be very difficult to explain how the model, especially graph neural network(s), makes decisions on the given features and identifies the features that contribute the most to prediction generally and individually. To better explain how the spectral-based Graph Neural Network model(s) works, we applied one unified explainable machine learning method, SHapley Additive exPlanations (SHAP), and identified CXCL11, IL-2, CD48, KIR3DL2, TLR2, BMP10 and several other relevant COPD genes in subnetworks of the ConvGNN model for COPD prediction. Finally, Gene Ontology (GO) enrichment analysis identified glycosaminoglycan, heparin signaling, and carbohydrate derivative signaling pathways significantly enriched in the top important gene/proteins for COPD classifications.

Yifei Jianpi recipe improves cigarette smoke-induced inflammatory injury and mucus hypersecretion in human bronchial epithelial cells by inhibiting the TLR4/NF-κB signaling pathway

To explore the mechanism of Yifei Jianpi recipe for improving cigarette smoke- induced inflammatory injury and mucus hypersecretion in cultured human bronchial epithelial cells. Serum samples were collected from 40 SD rats treated with Yifei Jianpi recipe (n=20) or normal saline (n=20) by gavage. Cultured human bronchial epithelial 16HBE cells were stimulated with an aqueous cigarette smoke extract (CSE), followed by treatment with the collected serum at different dilutions. The optimal concentration and treatment time of CSE and the medicated serum for cell treatment were determined with CCK-8 assay. The expressions of TLR4, NF-κB, MUC5AC, MUC7, and muc8 at both the mRNA and protein levels in the treated cells were examined with RT- qPCR and Western blotting, and the effects of TLR4 gene silencing and overexpression on their expressions were assessed. The expressions of TNF-α, IL-1 β, IL-6 and IL-8 in the cells were detected using ELISA. At the optimal concentration of 20%, treatment with the medicated serum for 24 h significantly lowered the mRNA and protein expressions of TLR4, NF- κB, MUC5AC, MUC7, and MUC8 in CSE- exposed 16HBE cells, and these effects were further enhanced by TLR4 silencing in the cells. In 16HBE cells with TLR4 overexpression, the expressions of TLR4, NF-κB, MUC5AC, MUC7, and MUC8 were significantly increased after CSE exposure and were lowered following treatment with the medicated serum (P < 0.05). The medicated serum also significantly lowered the levels of TNF-α, IL-1β, IL-6 and IL-8 in CSE-exposed 16HBE cells (P < 0.05). In the 16HBE cell model of chronic obstructive pulmonary disease (COPD), treatment with Yifei Jianpi recipe-medicated serum improves inflammation and mucus hypersecretion possibly by reducing MUC secretion and inhibiting the TLR4/NF-κB signaling pathway.

Association analysis between the TLR9 gene polymorphism rs352140 and type 1 diabetes.

To a great extent, genetic factors contribute to the susceptibility to type 1 diabetes (T1D) development, and by triggering immune imbalance, Toll-like receptor (TLR) 9 is involved in the development of T1D. However, there is a lack of evidence supporting a genetic association between polymorphisms in the TLR9 gene and T1D. In total, 1513 individuals, including T1D patients (n=738) and healthy control individuals (n=775), from the Han Chinese population were recruited for an association analysis of the rs352140 polymorphism of the TLR9 gene and T1D. rs352140 was genotyped by MassARRAY. The allele and genotype distributions of rs352140 in the T1D and healthy groups and those in different T1D subgroups were analyzed by the chi-squared test and binary logistic regression model. The chi-square test and Kruskal-Wallis H test were performed to explore the association between genotype and phenotype in T1D patients. The allele and genotype distributions of rs352140 were significantly different in T1D patients and healthy control individuals (p=0.019, p=0.035). Specifically, the T allele and TT genotype of rs352140 conferred a higher risk of T1D (OR=1.194, 95% CI=1.029-1.385, p=0.019, OR=1.535, 95% CI=1.108-2.126, p=0.010). The allele and genotype distributions of rs352140 were not significantly different between childhood-onset and adult-onset T1D and between T1D with a single islet autoantibody and T1D with multiple islet autoantibodies (p=0.603, p=0.743). rs352140 was associated with T1D susceptibility according to the recessive and additive models (p=0.015, p=0.019) but was not associated with T1D susceptibility in the dominant and overdominant models (p=0.117, p=0.928). Moreover, genotype-phenotype association analysis showed that the TT genotype of rs352140 was associated with higher fasting C-peptide levels (p=0.017). In the Han Chinese population, the TLR9 polymorphism rs352140 is associated with T1D and is a risk factor for susceptibility to T1D.

Sex affects immune response capacity against COVID-19 infection.

The genetic variability of each individual may lead to the identification of completely different genetic polymorphisms which are associated with a different sensitivity to infectious diseases in humans. Such genetic variability allows the immune system to respond differently to viral agents, therefore only a fraction of humans develop severe symptoms, as happened with SARS-CoV-2. Such knowledge is critical to enable the development of appropriate pharmacological solutions to prevent the consequences of insufficient immunity in dealing with serious viral diseases such as SARS-CoV-2. For instance, global epidemiological data show that male sex is a risk factor for the severe evolution of SARS-CoV-2 disease. Men, due to higher production of Testosterone (TLT), are more vulnerable than females. Women, due to greater expression of the TLR7 gene found on the X chromosome, a key innate immunity gene that encodes Toll-like proteins, are able to synthesise more antiviral proteins and interferons in dendritic cells, resulting in a more robust immune system capable of preventing severe SARS-CoV-2 viral disease. This manuscript highlights how human genetic variability can lead to severe infectious symptoms in some individuals who must take appropriate prophylactic actions, such as vaccination, to prevent this.

Correlation of polymorphism in Toll-Like Receptor (TLR1 and TLR2) genes with susceptibility of pulmonary tuberculosis in Doda region of India

BackgroundPulmonary tuberculosis has emerged as one of the leading causes of deaths across the globe. The prevalence of Mycobacterium tuberculosis has also shown an increasing trend over the time which may be attributed to the increase in multidrug resistant strains and HIV epidemics. There are several factors like change in the gene structure and cellular activities of the host and the bacterium which may have changed the host response towards tuberculosis. Additionally, the recent reports have suggested that Toll-Like Receptors (TLRs) play an important role in the activation of immune responses against various pathogens. Therefore, this study has been designed to investigate the possible correlation of TLR gene polymorphism and prevalence of pulmonary tuberculosis. MethodThis study investigates 300 samples collected from patients with pulmonary tuberculosis (150) and healthy controls (150) from the Doda region of Jammu, India. For analysis purpose, DNA from the collected samples were isolated and subjected to sequence specific PCR amplification of TLR-1 and TLR-2 genes. The amplicons of TLR-1 and TLR-2 were further digested with restriction enzymes PvuII and Xbal, respectively, and visualized on agarose gel, subsequently. ResultThe results suggest that frequency of TLR2 gene polymorphism (73.9%) is high in the patients below the age of 50 years, whereas, frequency of TLR-1 gene polymorphism is high (71%) in the patients above 50 years of age (p = 0.005). Further, the restriction digestion analysis of TLR1 genes has shown that nearly 78% of the confirmed normal cases exhibit homozygous normal conditions followed by 12% cases with heterozygous conditions and 10% cases of homozygous mutants. Similarly for TLR2 genes, nearly 78.6% of the confirmed normal cases have shown homozygous normal conditions followed heterozygous conditions (12.6%) and homozygous mutants (8.6%). ConclusionThis study establishes a preliminary correlation between TLR polymorphism and tuberculosis.

Association of Toll-like Receptors 1, 2, 4, 6, 8, 9 and 10 Genes Polymorphisms and Susceptibility to Pulmonary Tuberculosis in Sudanese Patients.

Genetic factors are important contributors to the development of a wide range of complex disease. Polymorphisms in genes encoding for toll-like receptors (TLRs) usually influence the efficiency of the immune response to infection and are associated with disease susceptibility and progression. Therefore, we aim to describe the first association between TLR1, TLR2, TLR4 TLR6, TLR8, TLR9 and TLR10 genes polymorphisms and susceptibility to pulmonary tuberculosis (PTB) in Sudanese patients. Here we performed a case study which included 160 tuberculosis patients and 220 healthy matched controls from Sudan. In the study population, we evaluated the possible association between 86 markers in TLR1, TLR2, TLR4 TLR6, TLR8, TLR9 and TLR10 genes polymorphisms and susceptibility to PTB disease in Sudanese population using polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). From our results it appeared that in the PTB population the TLR1 (rs5743557, rs4833095, rs5743596), TLR2 (rs5743704, rs5743708, rs3804099), TLR4 (rs4986790, rs4986791), TLR6 (rs5743810), TLR8 (rs3764879, rs3764880), TLR9 (rs352165, rs352167, rs187084) and TLR10 (rs4129009) were significantly more often encountered (p<0.0001) than in the control population and were associated with PTB in the Sudanese population. For the other polymorphisms tested, no association with PTB was found in the population tested. The work describes novel mutations in TLR1, TLR2, TLR4, TLR6, TLR8, TLR9 and TLR10 genes and their association with PTB infection in Sudanese population. These results will enhance our ability to determine the risk of developing the disease by targeting specific TLR pathways to reduce the severity of the disease. Future studies are needed in a larger sample to replicate our findings and understand the mechanism of association of TLR polymorphism in PTB.

The association of gene polymorphisms with milk production and mastitis resistance phenotypic traits in dairy cattle

Abstract The aim of this study was to evaluate the association between gene polymorphisms (SNPs) and mastitis indicators and their relationship with milk production profitability in dairy herd. A functional analysis was also performed of five genes containing the studied SNPs and those located close by. DNA was isolated from the hair bulb of 320 dairy cows kept in three herds and SNP-microarray analysis was performed. The data on 299 cows was subjected to final statistical analysis using AI-REML method with one-trait repeatability test-day animal model and pedigree information using the DMU4 package. Five from 35 SNPs significantly associated with mastitis indicators or production traits and located within a gene or no more than 500,000 nucleotides from the gene were selected for the functional and economic analysis. A questionnaire was also developed to collect associated economic data of 219 cows from three herds, such as the value of milk production and direct costs incurred over three years; this allowed the gross margin, direct profitability index and direct costs incurred to produce one liter of milk to be determined, among others. None of the five studied SNPs were related to protein content. The rs110785912(T/A), found near CXCR4, and rs136813430(T/C), located in the TLR4 gene exon, were associated with lnSCC, while rs110455063(C/G), located near IGF-I, was associated with milk yield, fat and total solid contents. rs109421300(T/C), associated with fat/protein content ratio, as well as fat and total solid content, is located in the DGAT1 gene intron. rs41587003(A/C), located in the DLG2 gene intron, was associated with lactose content. The economic analysis revealed differences between the variants of the three tested SNPs. The T/C variant of the rs136813430(T/C) SNP was characterized by the highest gross margin, the highest direct profitability index and the lowest costs incurred to produce 1 liter of milk. The T/A variant of rs110785912(T/A) was related to low lnSC and was characterized by the highest direct profitability index. In turn, the C/C variant of the rs41587003(A/C) was related to the lowest level of lactose and the highest costs of milk production. It appears that rs136813430(T/C) may be the most promising of the tested SNPs for increasing the profitability of milk production. To our knowledge, it is the first effort to assess directly a correlation between the DNA polymorphism and economic output of a dairy enterprise.

Effects of Empagliflozin on a Model of Chronic Depression and Brain Toll-Like Receptors Gene Expression in Male Rats

Background: Empagliflozin is an antidiabetic medication having anti-inflammatory and antioxidant properties. Objectives: To develop a chronic unpredictable stress (CUS) model in male rats, evaluate empagliflozin’s antidepressant effects, and describe the link between stress, an antioxidant enzyme, and Toll-like receptor (TLR)-4 gene expression in male rats. Materials and Methods: In this experiment, 50 rats were divided into five groups: G1–G5. The forced swimming test (FST) was used to examine the antidepressant effects of fluoxetine and empagliflozin, and real-time polymerase chain reaction was used to measure TLR-4 gene expression. FST was performed on each rat on days 0, 10, and 25. CUS was performed on each rat for 24 days. Results: By the end of day 10, all animals subjected to the CUS program had a substantial (P &lt; 0.05) increase in immobility duration compared with day 0. The immobility duration in the CUS group was statistically significantly greater than the baseline. Stressed rats demonstrated a statistically significant reduction in immobility duration compared with CUS group G2. In comparison to the CUS group, fluoxetine significantly reduced immobility duration (P &lt; 0.05). In terms of gene expression, the mean of fold changes in TLR-4 mRNA level in group 2 was considerably greater than in group 1. When compared with group 2, the means of the fold changes in TLR-4 mRNA level were considerably lower in groups 3, 4, and 5. Conclusions: Empagliflozin has antidepressant-like effects and can counteract the impact of stress-induced TLR-4 overexpression in the hippocampus and elevate the activity of antioxidant enzymes in the brains of depressed rats.

Animal model for high consumption and preference of ethanol and its interplay with high sugar and butter diet, behavior, and neuroimmune system.

Mechanisms that dictate the preference for ethanol and its addiction are not only restricted to the central nervous system (CNS). An increasing body of evidence has suggested that abusive ethanol consumption directly affects the immune system, which in turn interacts with the CNS, triggering neuronal responses and changes, resulting in dependence on the drug. It is known that neuroinflammation and greater immune system reactivity are observed in behavioral disorders and that these can regulate gene transcription. However, there is little information about these findings of the transcriptional profile of reward system genes in high consumption and alcohol preference. In this regard, there is a belief that, in the striatum, an integrating region of the brain reward system, the interaction of the immune response and the transcriptional profile of the Lrrk2 gene that is associated with loss of control and addiction to ethanol may influence the alcohol consumption and preference. Given this information, this study aimed to assess whether problematic alcohol consumption affects the transcriptional profile of the Lrrk2 gene, neuroinflammation, and behavior and whether these changes are interconnected. An animal model developed by our research group has been used in which male C57BL/6 mice and knockouts for the Il6 and Nfat genes were subjected to a protocol of high fat and sugar diet intake and free choice of ethanol in the following stages: Stage 1 (T1)-Dietary treatment, for 8 weeks, in which the animals receive high-calorie diet, High Sugar and Butter (HSB group), or standard diet, American Institute of Nutrition 93-Growth (AIN93G group); and Stage 2 (T2)-Ethanol consumption, in which the animals are submitted, for 4 weeks, to alcohol within the free choice paradigm, being each of them divided into 10 groups, four groups continued with the same diet and in the other six the HSB diet is substituted by the AIN93G diet. Five groups had access to only water, while the five others had a free choice between water and a 10% ethanol solution. The weight of the animals was evaluated weekly and the consumption of water and ethanol daily. At the end of the 12-week experiment, anxiety-like behavior was evaluated by the light/dark box test; compulsive-like behavior by Marble burying, transcriptional regulation of genes Lrrk2, Tlr4, Nfat, Drd1, Drd2, Il6, Il1β, Il10, and iNOS by RT-qPCR; and inflammatory markers by flow cytometry. Animals that the diet was replaced had an ethanol high preference and consumption. We observed that high consumption and preference for ethanol resulted in (1) elevation of inflammatory cells in the brain, (2) upregulation of genes associated with cytokines (Il6 and Il1β) and pro-inflammatory signals (iNOS and Nfat), downregulation of anti-inflammatory cytokine (Il10), dopamine receptor (Drd2), and the Lrrk2 gene in the striatum, and (3) behavioral changes such as decreased anxiety-like behavior, and increased compulsive-like behavior. Our findings suggest that interactions between the immune system, behavior, and transcriptional profile of the Lrrk2 gene influence the ethanol preferential and abusive consumption.

Identification and validation of hub genes in drug induced acute kidney injury basing on integrated transcriptomic analysis.

Drug-induced acute kidney damage (DI-AKI) is a clinical phenomenon of rapid loss of kidney function over a brief period of time as a consequence of the using of medicines. The lack of a specialized treatment and the instability of traditional kidney injury markers to detect DI-AKI frequently result in the development of chronic kidney disease. Thus, it is crucial to continue screening for DI-AKI hub genes and specific biomarkers. Differentially expressed genes (DEGs) of group iohexol, cisplatin, and vancomycin's were analyzed using Limma package, and the intersection was calculated. DEGs were then put into String database to create a network of protein-protein interactions (PPI). Ten algorithms are used in the Cytohubba plugin to find the common hub genes. Three DI-AKI models' hub gene expression was verified in vivo and in vitro using PCR and western blot. To investigate the hub gene's potential as a biomarker, protein levels of mouse serum and urine were measured by ELISA kits. The UUO, IRI and aristolochic acid I-induced nephrotoxicity (AAN) datasets in the GEO database were utilized for external data verification by WGCNA and Limma package. Finally, the Elisa kit was used to identify DI-AKI patient samples. 95 up-regulated common DEGs and 32 down-regulated common DEGs were obtained using Limma package. A PPI network with 84 nodes and 24 edges was built with confidence >0.4. Four hub genes were obtained by Algorithms of Cytohubba plugin, including TLR4, AOC3, IRF4 and TNFAIP6. Then, we discovered that the protein and mRNA levels of four hub genes were significantly changed in the DI-AKI model in vivo and in vitro. External data validation revealed that only the AAN model, which also belonged to DI-AKI model, had significant difference in these hub genes, whereas IRI and UUO did not. Finally, we found that plasma TLR4 levels were higher in patients with DI-AKI, especially in vancomycin-induced AKI. The immune system and inflammation are key factors in DI-AKI. We discovered the immunological and inflammatory-related genes TLR4, AOC3, IRF4, and TNFAIP6, which may be promising specific biomarkers and essential hub genes for the prevention and identification of DI-AKI.

Detection and treatment of skin infection with Staphylococcus aureus in children with atopic dermatitis

Introduction. Atopic dermatitis is a common chronic relapsing inflammatory multifactorial skin disease. Staphylococcus aureus skin colonization increases during disease outbreaks and correlates with the severity of skin symptoms. Purpose - to evaluate the effectiveness of thyrothricin gel as an adjuvant therapy in the treatment of atopic dermatitis and the influence of polymorphisms of pattern recognition receptors on the achieving a therapeutic effect. Materials and methods. This study included patients with atopic dermatitis (n=37) aged 2-18 years from the Allergy Department of the Kyiv City Children’s Clinical Hospital No. 2. Patients were devided into two groups: a group that received thyrothricin gel on the affected skin areas 2 times a day for 7 days (the Group A) and a control group (the Group B) that received only basic symptomatic therapy. SCORAD (SCORing AD) and CDLQI (Children’s Quality of Life Index in Dermatology) scores were recorded before and after treatment, side effects were recorded during the study. Skin swabs were taken in the Group A before and after treatment. Genotyping of polymorphisms rs4696480 in the TLR2 gene, rs7309123 in the Dectin-1 gene were performed using polymerase chain reaction. Results. In both groups of children, improvement was observed in 7 days after treatment (p&lt;0.001). In the Group A, the improvement in ΔSCORAD was 16.6±5.9 points, in the Group B - 8.1±4.5 points. The difference in ΔSCORAD scores between the Groups A and B was statistically significant (W=225.0, p&lt;0.001). The decrease in CDLQI score after treatment was 3.8±1.8 points in the Group A and 2.3±1.25 points in the Group B. A significant decrease in CDLQI score was demonstrated in the intervention group than in the control group after treatment (W=275.5, p=0.004). After treatment, a bacteriological examination of the skin demonstrated the eradication of Staphylococcus aureus: in the Group A, 94.4% of patients were Staphylococcus aureus-negative. Polymorphisms rs4696480 in the TLR2 gene and rs7309123 in the Dectin-1 gene did not affect the speed of achieving the therapeutic effect. Conclusions. The addition of thyrothricin to standard therapy for atopic dermatitis in children with Staphylococcus aureus infection of affected skin may provide significant clinical benefit in SCORAD and CDLQI scores. The research was carried out in accordance with the principles of the Helsinki Declaration. The study protocol was approved by the Local Ethics Committee of the participating institution. The informed consent of the patients was obtained for conducting the studies. No conflict of interests was declared by the author.

Potential Impact of Polymorphisms in Toll-like Receptors 2, 3, 4, 7, 9, miR-146a, miR-155, and miR-196a Genes on Osteoarthritis Susceptibility.

Osteoarthritis (OA) is a progressive inflammatory disease of synovial joints and a leading cause of disability among adults. Inflammation-related genes, including genes for Toll-like receptors (TLRs), are tightly controlled by several microRNAs that, in addition to their pivotal role in the epigenetic regulation of target genes, are ligands for TLR activation and downstream signaling. Thus, we evaluated the association between OA risk and genetic variants in TLR2, TLR3, TLR4, TLR7, TLR9, and microRNAs that regulate TLRs signaling miR146a, miR155, and miR196a2. Our study group consisted of 95 surgically treated OA patients and a control group of 104 healthy individuals. Genetic polymorphisms were determined using TaqMan real-time PCR assays (Applied Biosystems). Adjusted logistic regression analysis demonstrated that polymorphisms in TLR4 rs4986790 (OR = 2.964, p = 0.006), TLR4 rs4986791 (OR = 8.766, p = 0.00001), and TLR7 rs385389 (OR = 1.579, p = 0.012) increased OA risk, while miR-196a2 rs11614913 (OR = 0.619, p = 0.034) was significantly associated with decreased OA risk. Our findings indicate that polymorphisms in the TLR4 and TLR7 genes might increase OA risk and suggest a novel association of miR-196a2 polymorphism with decreased OA susceptibility. The modulation of TLRs and miRNAs and their cross-talk might be an attractive target for a personalized approach to OA management.