IFN-gamma Gene Research Articles

Salivary detection of Chikungunya virus infection using a portable and sustainable biophotonic platform coupled with artificial intelligence algorithms

The current detection method for Chikungunya Virus (CHIKV) involves an invasive and costly molecular biology procedure as the gold standard diagnostic method. Consequently, the search for a non-invasive, more cost-effective, reagent-free, and sustainable method for the detection of CHIKV infection is imperative for public health. The portable Fourier-transform infrared coupled with Attenuated Total Reflection (ATR-FTIR) platform was applied to discriminate systemic diseases using saliva, however, the salivary diagnostic application in viral diseases is less explored. The study aimed to identify unique vibrational modes of salivary infrared profiles to detect CHIKV infection using chemometrics and artificial intelligence algorithms. Thus, we intradermally challenged interferon-gamma gene knockout C57/BL6 mice with CHIKV (20 µl, 1 X 105 PFU/ml, n = 6) or vehicle (20 µl, n = 7). Saliva and serum samples were collected on day 3 (due to the peak of viremia). CHIKV infection was confirmed by Real-time PCR in the serum of CHIKV-infected mice. The best pattern classification showed a sensitivity of 83%, specificity of 86%, and accuracy of 85% using support vector machine (SVM) algorithms. Our results suggest that the salivary ATR-FTIR platform can discriminate CHIKV infection with the potential to be applied as a non-invasive, sustainable, and cost-effective detection tool for this emerging disease.

Influence of Interferon Gamma Gene rs2430561 Variant on Complicated Course of Pneumonia in Patients with COVID-19

Background: Pneumonia is one of the most common complications of the course of COVID-19. Interferon-γ (IFN-γ) is an essential cytokine for lung defense against intracellular and extracellular pathogens. Since the rs2430561 variant of the IFNG gene, which encodes IFN-γ, affects the production of IFN-γ, it can potentially be associated with a severe course of COVID-19. Objective: The aim of our research was to determine the impact of the rs2430561 variant of the IFNG gene on the propensity of patients to develop and experience a severe course of COVID-19-related pneumonia. Methods: The study included 117 patients with a complicated course of COVID-19- associated pneumonia, who were hospitalized in the intensive care unit. All patients received a standard clinical and laboratory evaluation and course of treatment for COVID- 19. IFNG gene variants were determined by PCR method. For comparisons, we used clinical and laboratory indicators from the inpatients’ medical records, which reflected the course of the patient's disease, taking into account the rs2430561 variants of the IFNG gene. Results: In the group of patients, the following genotype frequencies were found: TT – 18.8%, TA – 52.1%, and AA – 29.1%. The results showed that AA genotype carriers had essentially higher SpO2/FiO2 ratio (p=0.043). High base excess rates were present in patients with the TT genotype (p=0.047). It was found that patients with the T allele (whether homozygous or heterozygous state) had significantly higher concentrations of such electrolytes as potassium and sodium (p=0.016 and p=0.004, respectively). Сonclusion: In patients with COVID-19, the rs2430561 variant of the IFNG gene is linked to a complicated course of pneumonia. Certainly, this finding requires further research.

Post-COVID syndrome in patients with type 2 diabetes: definition, epidemiology, pathophysiology, biomarkers and genetic associations

The article presents the modern ideas about post-COVID syndrome, indicates various types and classifications of post-COVID syndrome, provides epidemiological data, including the patients with type 2 diabetes, also the definition of post-COVID syndrome is given. The group of patients defined as patients with post-COVID syndrome is very heterogeneous. Post-COVID syndrome is more common in the elderly, with comorbid pathology, severe disease. The pathophysiology of this syndrome in patients with type 2 diabetes mellitus is analyzed, and risk factors are indicated. The main biomarkers of disorders were determined: monocytes and their coefficients, acute phase proteins, some biochemical indicators, including analysis of genetic associations with the severity of post-COVID disorders (interferon gamma gene, methylenetetrahydrofolate reductase gene, ACE2 inhibitor). Genotyping of a sample of 26 single nucleotide polymorphisms in genes implicated in viral entry, immune response, and inflammation were significantly associated not only with the risk of long-term COVID-19 symptoms, but also with the cumulative incidence of post-COVID syndrome. Elevated levels of interleukin 6, C-reactive protein and tumor necrosis factor alpha may serve as potential diagnostic biomarkers in long-term COVID biomarkers of blood vascular transformation have great potential for diagnosis, and angiogenesis modulators may have therapeutic efficacy It has been shown that the vast majority of patients, in particular those suffering from type 2 diabetes, develop post-COVID-19 syndrome, and taking into account pre-existing diseases, post-COVID syndrome is not so harmless. By identifying common biomarkers and genetic associations, it is possible to identify the common molecular mechanism of post-COVID syndrome COVID-19 and diabetes mellitus. The novelty of disease association studies in the context of COVID-19 provides new insights into the management of rapidly evolving long-term COVID and post-COVID syndromes that have significant global implications.

Abstract 5182: Exploiting tumor RNA-sequencing data for prediction of immune checkpoint inhibition response

Abstract Immune checkpoint inhibitors (ICI) have become the standard of care as a first- or second-line systemic treatment for patients with various cancer types. Unfortunately, many patients do not respond to this treatment and the occurrence of immune-related adverse events varies widely. There is an urgent need for robust predictive biomarkers for ICI response to identify patients with likely clinical benefit from this costly treatment. Several biomarkers, aimed at predicting response to ICI, have been proposed, including PD-L1 expression, tumor mutation burden (TMB), infiltration of cytotoxic T-cells in the tumor, Microsatellite Instability (MSI) and expression of various immune gene signatures. However, these individual biomarkers have suboptimal performance and multiple complementary omics technologies are required to properly quantify them. Integration of these multi-omic biomarkers has proven valuable in increasing the accuracy and robustness of ICI response prediction.We have developed a computational pipeline that determines the expressed mutation burden (eTMB), MSI status, fraction of infiltrating immune cells and various immune gene expression signatures directly from the RNA-sequencing profile of the tumor. Each biomarker is quantified using a dedicated algorithm that applies machine learning (eTMB and MSI) or computational deconvolution (infiltrating immune cells) and integrates external data sources to maximize performance. Algorithm performance has been validated on large cohorts of tumor RNA-sequencing data with matching gold standard quantification of said biomarkers. As a proof of concept, we applied our pipeline to tumor RNA-sequencing data of 45 gastric cancer patients treated with pembrolizumab. Responders showed significantly higher eTMB scores and were enriched among the MSI-H patients. Fractions of CD8 T-cells and M1 Macrophages, together with interferon gamma and cytotoxic T-cell gene expression signatures, were significantly increased in responders. Notably, integrating these biomarkers into a single prediction model improved prediction of response to checkpoint inhibition therapy compared to predictions based on eTMB or MSI alone. Taken together, our approach enables the quantification of various ICI response biomarkers from a single omics layer (RNA-sequencing) and can contribute to ICI response prediction. Citation Format: Pieter Mestdagh, Pieter-Jan Van Dam, Frederick De Baene, Carolina Fierro, Elise Van Hoof, Emmanuel Rivière, Hanne Dangreau, Reindert Van Cauwenberge, Jo Vandesompele. Exploiting tumor RNA-sequencing data for prediction of immune checkpoint inhibition response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5182.

Retracted: Exploring the Potential of Interferon Gamma Gene as Major Immune Responder for Bovine Tuberculosis in River Buffalo.

[This retracts the article DOI: 10.1155/2021/5532864.].

Anti-Leishmania major activity of Calotropis procera extract by increasing ROS production and upregulating TNF-α, IFN-γ and iNOS mRNA expression under in vitro conditions

BackgroundLeishmaniasis, caused by protozoan parasites of the genus Leishmania, is a neglected tropical disease with 700,000 to 1,000,000 global new cases annually. Adverse effects associated with expense, long-term treatment and drug resistance have made conventional therapies unfavorable, encouraging the search for alternative drugs based on plant products. In this study, the effect of Calotropis procera (Asclepiadaceae) extract against viability of promastigotes and amastigotes of Leishmania major was evaluated in vitro.MethodsThe extract from the leaves of C. procera seedlings was prepared using a methanol maceration method. The colorimetric cell viability 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay was used to determine the growth-inhibitory effect of the extract on promastigotes. The level of reactive oxygen species (ROS) in promastigote cultures was determined after treatment with the extract using the 2',7'-dichlorofluorescein diacetate (DCFH-DA) method and compared with untreated cultures (control). After exposure to the extract the expression levels of tumor necrosis factor-α (TNF-α), interferon gamma (IFN-γ) and inducible nitric oxide synthase (iNOS) genes were determined and compared to control in peripheral blood mononuclear cells (PBMCs) infected with L. major.ResultsBased on the MTT assay, the C. procera extract significantly reduced the proliferation of L. major promastigotes with IC50 values of 377.28 and 222.44 μg/mL for 24 and 72 h, respectively (p < 0.01). After treatment with 222.44 and 377.28 μg/mL of C. procera extract, ROS production in L. major promastigote cultures increased 1.2- to 1.65-fold and 2- to 4-fold compared to the control, respectively (p < 0.05). C. procera extract induced significant increases in gene expression of TNF-α (2.76–14.83 fold), IFN-γ (25.63–threefold) and iNOS (16.32–3.97 fold) in infected PBMCs compared to control (p < 0.01).ConclusionsOn the basis of its anti-leishmanial activity, C. procera can be considered as a promising new plant source for the potential treatment of leishmaniasis.

Comprehensive characterization of PKHD1 mutation in human colon cancer.

The PKHD1 (Polycystic Kidney and Hepatic Disease 1) gene is essential for producing fibrocystin or polyductin, which is crucial in various cellular functions. Mutations in PKHD1 have been found to be involved in the development and progression of colorectal cancer (CRC). Along with APC, TP53, and KRAS, PKHD1 is one of the most frequently mutated genes in CRC. PKHD1 expression is governed by the Wnt/PCP pathway, often dysregulated in CRC. Targeting this pathway, crucial for CRC progression, could unveil potential therapeutic strategies for colon cancer treatment. This study examined an in-house dataset of 3702 colon cancer samples, analyzing mutation landscapes, clinical features, tumor mutational burden (TMB), microsatellite instability (MSI), and chromosomal instability (CIN) score. For the survival analysis of PKHD1 patients, survival data of 436 colon adenocarcinoma samples were obtained from TCGA dataset. Additionally, 433 samples from TCGA with RNA-seq data were used for the assessment of immune cell infiltration and gene set enrichment analysis. Polycystic Kidney and Hepatic Disease 1 mutation was detected in 424 colon cancer patients from our in-house cohort and was associated with increased TMB, higher MSI, and lower CIN score. Importantly, within the TCGA dataset, PKHD1 mutations were identified as an independent prognostic factor, not merely correlated with established prognostic biomarkers, and were associated with poorer overall survival outcomes. In terms of immune response, these mutations correlated with increased enrichment scores for 12 immune cell types, including B cell plasma, macrophages, and naive CD4+ T cells. Additionally, interferon alpha and interferon-gamma gene sets were significantly down-regulated in patients with PKHD1 mutations (FDA q-value < 0.1). Overall, these findings suggest that PKHD1 may be a potential biomarker for the prognosis of colon cancer and provide some insight for personalized immunotherapy.

Predictive Factors in Metastatic Melanoma Treated with Immune Checkpoint Inhibitors: From Clinical Practice to Future Perspective.

The introduction of immunotherapy revolutionized the treatment landscape in metastatic melanoma. Despite the impressive results associated with immune checkpoint inhibitors (ICIs), only a portion of patients obtain a response to this treatment. In this scenario, the research of predictive factors is fundamental to identify patients who may have a response and to exclude patients with a low possibility to respond. These factors can be host-associated, immune system activation-related, and tumor-related. Patient-related factors can vary from data obtained by medical history (performance status, age, sex, body mass index, concomitant medications, and comorbidities) to analysis of the gut microbiome from fecal samples. Tumor-related factors can reflect tumor burden (metastatic sites, lactate dehydrogenase, C-reactive protein, and circulating tumor DNA) or can derive from the analysis of tumor samples (driver mutations, tumor-infiltrating lymphocytes, and myeloid cells). Biomarkers evaluating the immune system activation, such as IFN-gamma gene expression profile and analysis of circulating immune cell subsets, have emerged in recent years as significantly correlated with response to ICIs. In this manuscript, we critically reviewed the most updated literature data on the landscape of predictive factors in metastatic melanoma treated with ICIs. We focus on the principal limits and potentiality of different methods, shedding light on the more promising biomarkers.

Obtaining of transgenic barrelclover plants (Medicago truncatula) producing chicken interferon gamma for veterinary use

At the Laboratory of Plant Genetic and Cellular Engineering, Department of Genetics and Biotechnology, St. Petersburg State University, five transgenic Medicago truncatula plants were obtained through Agrobacterium-mediated transformation, carrying one of the variants of the heterologous chicken interferon-gamma gene under the control of the constitutive 35S CaMV promoter. Among these, one plant harbored an unmodified gene insertion, while four had a modified gene with a deletion at the protease recognition site, providing resistance to proteolytic degradation.&#x0D; We demonstrate the application of the SWPOP-PCR “genome walking” method to determine the integration sites of T-DNA into the plant genome, identify the number of insertion copies and their orientation. Analysis of the obtained sequences revealed that only one plant exhibited a single T-DNA insertion, which represents the most optimal structure for stable expression.&#x0D; Upon self-pollination of T0 plants, 39 offspring were obtained and subjected to testing for the presence and expression of the transgene. Among them, six homozygous plants were identified using molecular methods. Quantitative assessment of transgene expression levels showed significant differences among representatives of different lines and among the offspring derived from a single transformed plant. Among the T1 and T2 progeny, the presence of the heterologous interferon protein in plant tissues was confirmed through Western blot analysis.&#x0D; The engineered barrelclover plants hold potential as bioreactors for the production of chicken interferon-gamma for veterinary applications. The use of an edible plant allows eliminating protein extraction and purification procedures, thereby resulting in a noteworthy reduction in production expenses of up to 80%.

Abstract B080: Non-genetic determinants driving sub-clonal resistance to KRAS G12C combination therapies in KRAS mutant non-small cell lung cancer

Abstract The FDA approval of the KRAS G12C inhibitor (G12Ci) sotorasib and the advancement of similar drugs into the clinic marks a major milestone in treating KRAS G12C non-small cell lung cancer (NSCLC). However, not all patients respond (sotorasib – ORR = 37.1%, adagrasib - 43%, JDQ443 – 35%), motivating preclinical and clinical investigation into mechanisms of intrinsic and acquired resistance. For instance, clinical studies have reported on-target KRAS mutations and preclinical studies have demonstrated mitogen-activated protein kinase (MAPK) feedback reactivation including EGFR, SHP2, and WT RAS signaling. In response to targeted therapies, sub-populations of cells can enter quiescence or specific epigenetic-driven states that confer drug tolerance. However, epigenetic states defining drug-tolerant persister populations and contributing to adaptive resistance to KRAS G12Ci have not been reported. Using a high-complexity DNA-barcoding system and mathematical modeling, we observed that pre-existing resistant clones to KRAS G12Ci gain clonal fitness during treatment independent of growth rate. Using single-cell profiling and RNA-lineage tracing barcoded systems, we identified distinct subpopulations of cells defined by specific chromatin and transcriptional states, including activation of interferon-gamma genes (ISG) and increased chromatin accessibility for pioneer transcription factors, which may contribute to MAPK reactivation-driven resistance. These results suggest a potential role of pioneer transcription factor-activated interferon-gamma response in driving MAPK feedback reactivation in KRAS G12Ci- resistant tumor subpopulations. Citation Format: Chendi Li, Christopher J Graser, Qian Qin, Usman M Syed, Barbara Karakyriakou, Sarah E Clark, Anne Y Saiki, Paul E Hughes, Christopher Ott, Luca Pinello, Franziska Michor, Aaron N Hata. Non-genetic determinants driving sub-clonal resistance to KRAS G12C combination therapies in KRAS mutant non-small cell lung cancer [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B080.

Replication-incompetent influenza A viruses armed with IFN-γ effectively mediate immune modulation and tumor destruction in mice harboring lung cancer

Low pathogenic influenza A viruses (IAVs) have shown promising oncolytic potential in lung cancer-bearing mice. However, as replication-competent pathogens, they may cause side effects in immunocompromised cancer patients. To circumvent this problem, we genetically engineered nonreplicating IAVs lacking the hemagglutinin (HA) gene (ΔHA IAVs), but reconstituted the viral envelope with recombinant HA proteins to allow a single infection cycle. To optimize the therapeutic potential and improve immunomodulatory properties, these replication-incompetent IAVs were complemented with a murine interferon-gamma (mIFN-γ) gene. After intratracheal administration to transgenic mice that develop non-small cell lung cancer (NSCLC), the ΔHA IAVs induced potent tumor destruction. However, ΔHA IAVs armed with mIFN-γ exhibited an even stronger and more sustained effect, achieving 85% tumor reduction at day 12 postinfection. In addition, ΔHA-mIFN-γ viruses were proven to be efficient in recruiting and activating natural killer cells and macrophages from the periphery and in inducing cytotoxic T lymphocytes. Most important, both viruses, and particularly IFN-γ-encoding viruses, activated tumor-associated alveolar macrophages toward a proinflammatory M1-like phenotype. Therefore, replication-incompetent ΔHA-mIFN-γ-IAVs are safe and efficient oncolytic viruses that additionally exhibit immune cell activating properties and thus represent a promising innovative therapeutic option in the fight against NSCLC.

Association between interferon-gamma (IFN-γ) gene polymorphisms and tuberculosis susceptibility: a systematic review and meta-analysis

Interferon-gamma (IFN-γ) has been established to play a pivotal role in the pathogenesis of tuberculosis (TB). Existing evidence suggests a potential association between the genetic poly­morphisms of IFN-γ and the susceptibility to TB. However, this association remains a topic of controversy. To address this knowledge gap, a meta-analysis was conducted to provide more accurate results regarding their relationship. The pooled odds ratio along with its corresponding 95% confidence interval was calculated using four different gene models. This analytical approach served to evaluate the strength of the association between single nucleotide polymorphisms (SNPs) and TB susceptibility. Additionally, we determined whether a fixed effect model or a random effect model should be applied based on the extent of heterogeneity. Egger’s test was used to evaluate publication bias. This study included a total of nine studies, involving 4509 patients with TB and 4378 healthy controls. In non-Asian populations, a C > T mutation at polymorphic variant rs2069705 and a T > C mutation at rs2069718 was associated with an increased risk of TB. Conversely, among Asians, the variants rs2069705, rs2069718, and rs1861494 were not significantly associated with the risk of TB. Importantly, our investigation did not reveal any significant publication bias in the pooled results of the four gene models. In conclusion, this meta-analysis suggests that two SNPs in IFN-γ may be associated with TB susceptibility in non-Asian populations. However, for Asians, there is no evidence to support a conclusive relationship between these SNPs and the risk of TB.

Relation between interferon-gamma gene expression and its serum level with thyroid hormone status and Ferritin level in Iraqi sickle cell anemia patients

The hereditary hemoglobinopathy known as sickle cell disease is characterized by abnormal hemoglobin synthesis, hemolytic anemia, and intermittent obstruction of tiny blood arteries. The current investigation aims to study the relationship between interferon-gamma gene expression and serum levels with thyroid hormone status and Ferritin levels in sickle cell anemia patients. Blood samples were collected from 50 patients suffering from SCA and 50 healthy volunteers as a control group. The results of the relation of IFN-γ serum level with T3, T4 and TSH levels showed a positive relationship between IFN-γ serum and TSH levels. At the same time, an inverse association to T3 and T4 levels with high significance also showed high IFN-γ gene expression (10.78 ±5.06 Fold) in the patient group as compared with control (2.079 ±0.52 Fold) at a significant difference, as well as the results found acquire strong positive association between IFN-γ serum level and IFN-γ mRNA expression in the patient group compared with the control group. The current study concluded that there was an inverse association among T3, T4 and IFN-γ serum with high significance, as high gene expression of IFN-γ, and a strong positive association between IFN-γ serum level and IFN-γ mRNA expression. Keywords: IFN-γ, SCA, Ferritin, TSH, T3, T4.

1121P Interferon-gamma (IFNy) gene signature as a predictive biomarker for response in lactate dehydrogenase (LDH) low advanced melanoma patients

1121P Interferon-gamma (IFNy) gene signature as a predictive biomarker for response in lactate dehydrogenase (LDH) low advanced melanoma patients

Molecular characterization of the 3'-UTRsequence of the interferon-gamma gene and its expression profile in the ocular conjunctiva of amazon buffaloes

Molecular characterization of the 3'-UTRsequence of the interferon-gamma gene and its expression profile in the ocular conjunctiva of amazon buffaloes

The same genotype of Sarcocystis neurona responsible for mass mortality in marine mammals induced a clinical outbreak in raccoons (Procyon lotor) 10 years later

Here, we report the first known outbreak of clinical protozoal myeloencephalitis in naturally infected raccoons by the parasite Sarcocystis neurona. The North American opossum (Didelphis virginiana) and the South American opossum (Didelphis albiventris) are its known definitive hosts. Several other animal species are its intermediate or aberrant hosts. The raccoon (Procyon lotor) is considered the most important intermediate host for S. neurona in the USA. More than 50% of raccoons in the USA have sarcocysts in their muscles, however clinical sarcocystosis in raccoons is rare. In 2014, 38 free-living raccoons were found dead or moribund on the grounds of the Saint Louis Zoo, Missouri, USA. Moribund individuals were weak, lethargic, and mildly ataxic; several with oculo-nasal discharge. Seven raccoons were found dead and 31 were humanely euthanized. Postmortem examinations were conducted on nine raccoons. Neural lesions compatible with acute sarcocystosis were detected in eight raccoons. The predominant lesions were meningoencephalitis and perivascular mononuclear cells. Histologic evidence for the Canine Distemper Virus was found in one raccoon. Schizonts and merozoites were present in the encephalitic lesions of four raccoons. Mature sarcocysts were present within myocytes of five raccoons. In six raccoons, S. neurona schizonts and merozoites were confirmed by immunohistochemical staining with S. neurona-specific polyclonal antibodies. Viable S. neurona was isolated from the brains of two raccoons by bioassay in interferon gamma gene knockout mice and in cell cultures seeded directly with raccoon brain homogenate. Molecular characterization was based on raccoon no. 68. Molecular characterization based on multi-locus typing at five surface antigens (SnSAG1-5-6, SnSAG3 and SnSAG4) and the ITS-1 marker within the ssrRNA locus, using DNA isolated from bradyzoites released from sarcocysts in a naturally infected raccoon (no. 68), confirmed the presence of S. neurona antigen type I, the same genotype that caused a mass mortality event in which 40 southern sea otters stranded dead or dying within a 3 week period in April 2004 with S. neurona-associated disease. An expanded set of genotyping markers was next applied. This study reports the following new genotyping markers at 18S rRNA, 28S rRNA, COX1, ITS-1, RON1, RON2, GAPDH1, ROP20, SAG2, SnSRS21 and TUBA1 markers. The identity of Sarcocystis spp. infecting raccoons is discussed.

Effects of dietary nano-selenium supplementation on Riemerella anatipestifer vaccinated and challenged Pekin ducklings (Anas platyrhynchos)

Riemerella anatipestifer (RA) is a common disease causing economic losses to duck farms worldwide. Novel supplements are crucially needed to control this bacterium, enhance poultry performance, and produce synergistic effects with vaccines in stimulating the immune system. This study investigated the effect of nano-selenium (Nano-Se) on the vaccinated (VAC) and challenged (Ch) Pekin ducklings (Anas platyrhynchos) with RA. Five experimental groups (G1-G5) were included in this study: G1 was the control group, G2 was the RA-challenged group, G3 was the Nano-Se+Ch group, G4 was the VAC+Ch group, and G5 was the Nano-Se+VAC+Ch group. The Nano-Se (0.3 mg/kg diet) was supplemented for 5 weeks post-vaccination (PV). The ducklings were vaccinated subcutaneously with the RA vaccine at 7 days of age and challenged with RA at the 3rd week PV. Blood, pharyngeal swabs and tissue samples were collected at the 3rd week PV and at different times post-challenge (PC). The growth performance (weight gain and feed conversion ratio), clinical signs, gross lesions, mortality, bacterial shedding, haematological, immunological, and biochemical parameters, cytokines production, and histopathological lesion scores showed significant differences (P < 0.05) between the challenged (G2) group and the supplemented (G3 & G5) groups. G5 showed the highest (P < 0.05) growth performance, phagocytic activity, IgM and IgG, splenic interleukin-2 (IL-2), IL-10, and interferon-gamma (IFN-γ) gene expressions, and the lowest mortality, bacterial shedding, hepatic and renal damage, heterophil/lymphocyte ratio and lesion scores compared to the other groups. In conclusion, the supplementation of nano-selenium for five weeks in the diet can improve the growth performance, immune status, and cytokines production in ducklings vaccinated and challenged with RA.

The Effects of Mesenchymal Stem Cells on the Gene Expression of TGF-beta and IFN-gamma in Patients with Rheumatoid Arthritis.

The therapeutic and immunomodulatory potential of mesenchymal stem cells (MSCs) in rheumatoid arthritis (RA) has attracted considerable scientific attention in recent decades. This study aimed to evaluate the expression of genes encoding interleukin (IL)4 and IL10, as well as interferon-gamma (IFNG) and transforming growth factor beta (TGFB1) in refractory RA patients following intravenous injection of autologous bone marrow-derived MSCs (BM-MSCs). This study was registered in Iranian Registry of Clinical Trials (IRCT) (2015102824760N1) and ClinicalTrials.gov (identifier: NCT03333681). Blood samples were taken from 13 patients before and 1 and 6 months after the MSC injection to evaluate the clinical manifestations, paraclinical factors, and expression of IL4, IL10, IFNG, and TGFB1 genes employing the SYBR Green real-time reverse-transcriptase polymerase chain reaction (RT-PCR) technique. There was a significant increase in the expression of TGFB1 at 1 and 6 months after the MSC injection compared to that in the baseline, while the expression of IL4 and IL10 did not change significantly. On the other hand, the expression of IFNG increased significantly after 1 month but decreased significantly at 6 months compared to 1 month after the intervention. Nevertheless, it showed no significant decrease compared to the baseline. A significant decrease was observed for the expression of IFNG 6 months after the injection compared to that after 1 month, which was in concordance with the rise in the expression of the TGFB1 gene. A significant change in the gene expression of TGFB1 and IFNG in our study wasconsistent with the amelioration of clinical manifestations, suggesting a mechanism of action for MSCs in the treatment of RA.

Salivary Detection of Zika Virus Infection Using ATR-FTIR Spectroscopy Coupled with Machine Learning Algorithms and Univariate Analysis: A Proof-of-Concept Animal Study.

Zika virus (ZIKV) diagnosis is currently performed through an invasive, painful, and costly procedure using molecular biology. Consequently, the search for a non-invasive, more cost-effective, reagent-free, and sustainable method for ZIKV diagnosis is of great relevance. It is critical to prepare a global strategy for the next ZIKV outbreak given its devastating consequences, particularly in pregnant women. Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy has been used to discriminate systemic diseases using saliva; however, the salivary diagnostic application in viral diseases is unknown. To test this hypothesis, we intradermally challenged interferon-gamma gene knockout C57/BL6 mice with ZIKV (50 µL,105 FFU, n = 7) or vehicle (50 µL, n = 8). Saliva samples were collected on day three (due to the peak of viremia) and the spleen was also harvested. Changes in the salivary spectral profile were analyzed by Student's t test (p < 0.05), multivariate analysis, and the diagnostic capacity by ROC curve. ZIKV infection was confirmed by real-time PCR of the spleen sample. The infrared spectroscopy coupled with univariate analysis suggested the vibrational mode at 1547 cm-1 as a potential candidate to discriminate ZIKV and control salivary samples. Three PCs explained 93.2% of the cumulative variance in PCA analysis and the spectrochemical analysis with LDA achieved an accuracy of 93.3%, with a specificity of 87.5% and sensitivity of 100%. The LDA-SVM analysis showed 100% discrimination between both classes. Our results suggest that ATR-FTIR applied to saliva might have high accuracy in ZIKV diagnosis with potential as a non-invasive and cost-effective diagnostic tool.

Thrombophilia and Immune-Related Genetic Markers in Long COVID.

Aiming to evaluate the role of ten functional polymorphisms in long COVID, involved in major inflammatory, immune response and thrombophilia pathways, a cross-sectional sample composed of 199 long COVID (LC) patients and a cohort composed of 79 COVID-19 patients whose follow-up by over six months did not reveal any evidence of long COVID (NLC) were investigated to detect genetic susceptibility to long COVID. Ten functional polymorphisms located in thrombophilia-related and immune response genes were genotyped by real time PCR. In terms of clinical outcomes, LC patients presented higher prevalence of heart disease as preexistent comorbidity. In general, the proportions of symptoms in acute phase of the disease were higher among LC patients. The genotype AA of the interferon gamma (IFNG) gene was observed in higher frequency among LC patients (60%; p = 0.033). Moreover, the genotype CC of the methylenetetrahydrofolate reductase (MTHFR) gene was also more frequent among LC patients (49%; p = 0.045). Additionally, the frequencies of LC symptoms were higher among carriers of IFNG genotypes AA than among non-AA genotypes (Z = 5.08; p < 0.0001). Two polymorphisms were associated with LC in both inflammatory and thrombophilia pathways, thus reinforcing their role in LC. The higher frequencies of acute phase symptoms among LC and higher frequency of underlying comorbidities might suggest that acute disease severity and the triggering of preexisting condition may play a role in LC development.