ABSTRACT
PURPOSE: Recent studies indicate that dysbiosis of gut microbiota and low-grade inflammation are important pathogenic determinants of type two diabetes mellitus (T2DM). The aim of this study is to investigate the effects of Lactobacillus GG on glycemic control, lipid profile, inflammatory parameters, and some gene expression levels in individuals with T2DM. METHODS: In a randomized, placebo-controlled trial, 34 women, aged 30-60 years with T2DM consumed daily probiotics or placebo for 8 weeks. The probiotic group consumed 10 × 109 Cfu/day Lactobacillus rhamnosus GG ATCC 53,103 (LGG), approved by the TR Ministry of Food, Agriculture, and Livestock. Anthropometric measurements, food diary, fasting blood, and fecal samples were taken at baseline and post-treatment. RESULTS: Fasting blood glucose was significantly decreased in probiotic (p = 0.049) and placebo (p = 0.028), but there was no difference between the groups. In the probiotic group, no significant difference was observed in HbA1c, fructosamine, lipid profile, and inflammatory variables compared to baseline. In this group, with LGG supplementation, mucin 2 and 3A (MUC2 and MUC3A) gene expressions increased more than ninefolds (p = 0.046 and p = 0.008, respectively) at post-treatment. Meanwhile, there was no significant change in any of the gene expressions in the placebo group. There was no significant difference in energy, protein, dietary fiber, and cholesterol intakes between placebo and probiotic groups during the study. However, daily fat intake (p = 0.003), body weight (p = 0.014), and body fat (p = 0.015) in the probiotic group were significantly decreased. CONCLUSION: In this study, the effects of a single probiotic strain were investigated for 8 weeks. At the end of the study, although there was no finding that clearly reflected on the glycemic parameters of T2DM, its beneficial effects on the expression of mucin genes, which are responsible for weight loss and protection of intestinal barrier functions, cannot be denied. Further studies are needed to reveal the importance of these findings. CLINICAL TRIAL REGISTRATION: ID: NCT05066152, October 4, 2021 retrospectively registered in ClinicalTrials.gov PRS web site.
Subject(s)
Diabetes Mellitus, Type 2 , Lacticaseibacillus rhamnosus , Probiotics , Humans , Female , Diabetes Mellitus, Type 2/genetics , Diabetes Mellitus, Type 2/therapy , Blood Glucose/metabolism , Mucins , Lipids , Double-Blind MethodABSTRACT
Th cells play an important role in pathogenesis of type 1 diabetes (T1D). Peripheral blood mononuclear cells were isolated from peripheral blood samples from newly diagnosed (ND), 1-year (1YD), and 5-year T1D (5YD) patients (n:8 of each group), 8 healthy controls (HC), and cultured for 24 h under unstimulated (US) and stimulated conditions. Cell ratios of Th1, Th2, Th17, Treg, and intracellular levels of IFN-γ, TNF-α, IL-10, TGF-ß, IL-5, IL-13, IL-17, and IL-21 cytokines were evaluated using the flow cytometry. mRNA expressions of transcription factors T-bet, GATA3, ROR-γt, and FOXP3 of these cells were determined by real-time PCR. Reduced CD4+CD25high cell ratios were detected in ND. CD4+CD25high cells were found to be reduced in ND and 1YD compared to HC under IL-2-stimulated conditions. Intracellular IFN-γ and TNF-α levels were low in all patients under US and IL-12-stimulated conditions. IL-17A and IL-21 were found to be high in patients with IL-6-stimulated conditions. Expressions of IL-10 and TGF-ß have been observed to be reduced in patients. Th1/Th2, Th17/Treg, and Th1/Treg ratios were higher in patient groups. FOXP3 and GATA3 mRNA expressions were found to be low in patients, while RORγt and T-bet mRNA levels were higher than HC. Th1, Th17, and Treg cells and their cytokines have been shown to be associated with type 1 diabetes.
Subject(s)
Cytokines , Diabetes Mellitus, Type 1 , Humans , Cytokines/metabolism , Interleukin-10/metabolism , Nuclear Receptor Subfamily 1, Group F, Member 3/genetics , Tumor Necrosis Factor-alpha/metabolism , Leukocytes, Mononuclear , T-Lymphocyte Subsets/metabolism , T-Lymphocytes, Regulatory/metabolism , Transforming Growth Factor beta/metabolism , Th17 Cells/metabolism , Forkhead Transcription Factors/genetics , Forkhead Transcription Factors/metabolism , RNA, Messenger , Disease Progression , GATA3 Transcription Factor/genetics , GATA3 Transcription Factor/metabolismABSTRACT
Background: Various variants of the miR-219-1 gene are one of the first genes associated with NSCLC prognosis in the literature. Objectives: We aimed to genotype two different variants of the miR-219-1 gene and to investigate to using of the result as a biomarker in the diagnosis and treatment of NSCLC. Materials and Methods: The patients were chosen according to International NSCLC criteria and genomic DNA was isolated from blood (138 patients and 100 healthy individuals). Then qRT-PCR was applied to determine the rs213210 and rs421446 variants of miR-219-1 gene polymorphisms. Allele and genotype frequencies were compared using Pearson's chi-square and Fisher's exact tests test. Results: We found that TT genotype (p=0,381) in rs213210 compared with CC genotype (p=0,165) and CC genotype (p=0,823) in rs421446 compared with TT genotype (p=0,537) did not show a significantly increased risk of NSCLC. There is no relationship between polymorphisms in miR-219-1 and the outcome of NSCLC. Conclusion: miRNA single nucleotide polymorphisms can be used as genetic biomarkers to predict cancer susceptibility, early diagnosis, and prognosis. Our study has shown that two variants of miR-219-1 were not related to NSCLC in the Turkish population. The reason for this can be differences in ethnicity, regions, and background of population and these differences could lead to various outcomes.
Subject(s)
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , MicroRNAs , Humans , Carcinoma, Non-Small-Cell Lung/genetics , Lung Neoplasms/genetics , MicroRNAs/genetics , Polymorphism, Single Nucleotide , Genotype , Genetic Predisposition to DiseaseABSTRACT
Coronavirus disease 2019 (COVID-19) pandemic has been an important global interest that affected millions of people, and it requires a deep investigation of the disease immunology for developing further therapeutic applications. Adoptive T cell therapy promises to address T cell-dependent immune dysregulation in COVID-19 patients by the generation of specific T cell clones against virus-specific antigens. Additionally, targeting B cell-dependent protection through COVID-19 vaccines, which have been developed in the recent year, possessed sufficient prevention for spreading the virus, since the cases and deaths related to COVID-19 tend to decrease after the vaccination. However, adoptive cell therapies are now encouraging scientists to deal with pathological challenges like inadequate T cell-dependent immune response or lymphopenia, since they are the most frequent outcome of severe infection, especially in immunocompromized patients. In this review, the current knowledge of immunopathology of COVID-19 was aimed to be highlighted along with the T cell responses against SARS-CoV-2 to comprise a basis for therapeutics. Moreover, current therapeutics and treatment strategies for COVID-19 were discussed to evaluate possible agents. Furthermore, the use of adoptive T cell therapy representing an emerging therapeutic approach was purposed to be presented comprehensively against SARS-CoV-2 infection. Even though further studies are needed to fully understand T cell response against SARS-CoV-2 in order to develop therapies to provide long term and efficient protection, adoptive cell therapies now meet the demand for a large population of people who suffer immunocompromization, considering the previous usage of the technique for different infectious diseases.
ABSTRACT
Abstract We aimed to analyze the expression profile of ACE2 and similar genes with ACE2, predict the number of variations in ACE2, detect the suspected SNPs on ACE2 gene, and perform the pathway analysis of renin-angiotensin system (RAS) and protein absorption-digestion. Moreover, we have predicted the gene-related diseases with ACE2. STRING was used to analyze functionally similar genes with ACE2. Exome Variant Server, SIFT, Polyphen2 were used to predict the number of variations in ACE2 and detect the suspected SNPs on ACE2. KEGG database and STRING were used to draw pathway of ACE2. Then, DISEASES resource, FitSNPs, UniProt, BioXpress, IGV Browser, Ensembl Genome Browser, and UCSC Genome Browser were used to predict the ACE2 gene-related diseases and expression profile in human normal and cancer tissues. We have shown that expression of ACE2 was correlated with AGT, REN, AGTR1, AGRT2, MME2, DPP4, PRCP, MEP1A, XPNPEP2, MEP1BandACE2 is expressed in testis, kidney, heart, thyroid, colon, esophagus, breast, minor salivary gland, pancreas, lung, liver, bladder, cervix, and muscle tissues. We found 99 variations in ACE2 gene, in which no previous study has been performed. In the future, this in silico analysis should be combined with other pieces of evidence including experimental data to assign function.