A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes.

The incidence of colorectal cancer (CRC), one of the deadliest cancers around the world, is increasing. Tissue microenvironment (TME) features such as tumor-infiltrating lymphocytes (TILs) can have a crucial impact on diagnosis or decision-making for treating patients with CRC. While clinical studies showed that TILs improve the host immune response, leading to a better prognosis, inter-observer agreement for quantifying TILs is not perfect. Incorporating machine learning (ML) based applications in clinical routine may promote diagnosis reliability. Recently, ML has shown potential for making progress in routine clinical procedures. We aim to systematically review the TILs analysis based on ML in CRC histological images. Deep learning (DL) and non-DL techniques can aid pathologists in identifying TILs, and automated TILs are associated with patient outcomes. However, a large multi-institutional CRC dataset with a diverse and multi-ethnic population is necessary to generalize ML methods.

Role of microbiota short-chain fatty acids in the pathogenesis of autoimmune diseases.

There is emerging evidence that microbiota and its metabolites play an important role in helath and diseases. In this regard, gut microbiota has been found as a crucial component that influences immune responses as well as immune-related disorders such as autoimmune diseases. Gut bacterial dysbiosis has been shown to cause disease and altered microbiota metabolite synthesis, leading to immunological and metabolic dysregulation. Of note, microbiota in the gut produce short-chain fatty acids (SCFAs) such as acetate, butyrate, and propionate, and remodeling in these microbiota metabolites has been linked to the pathophysiology of a number of autoimmune disorders such as type 1 diabetes, multiple sclerosis, inflammatory bowel disease, rheumatoid arthritis, celiac disease, and systemic lupus erythematosus. In this review, we will address the most recent findings from the most noteworthy studies investigating the impact of microbiota SCFAs on various autoimmune diseases.

HLA-DRB1*04 may predict the severity of disease in a group of Iranian COVID-19 patients.

Human leukocyte antigen (HLA) genes with extreme diversity can make a contribution for individual variations to the immune response against SARS-COV-2 infection. This study aimed to explore the distributions of HLA class II alleles frequencies and their relations with disease severity in a group of Iranian COVID-19 patients. This prospective and case-control study was conducted on 144 COVID-19 patients including 46 cases with moderate form, 54 cases with severe and 44 cases with critical disease. HLA-DRB1 and -DQB1 allele families were determined by PCR-SSP method and compared between three groups of the patients and in comparison to 153 ethnic-matched healthy controls. The patients group showed lower frequencies of HLA-DRB1*15 (OR = 0.57, P = 0.06), DRB1*15 ~ DQB1*05 haplotype (P = 0.04) and DRB1*15/DRB1*04 genotype (P = 0.04) in compare with healthy controls. Moderate COVID-19 patients had higher frequencies of HLA-DRB1*04 (P = 0.03), HLA-DRB1*10 (P = 0.05) and DRB1*04/DRB1*11 genotype (P = 0.01). Also, a higher significantly frequency of HLA-DRB1*03 allele group was observed in the critical patients versus controls (P = 0.01). Multiple logistic regression analysis revealed that the presence of DRB1*04 allele group was negatively associated with development of severe and critical disease (OR: 0.289, P = 0.005). Our results indicate a possible contribution of some HLA class II alleles in disease severity and clinical features of COVID-19 disease.

The pathogenic, therapeutic and diagnostic role of exosomal microRNA in the autoimmune diseases.

Exosomes are a nano-vesicle surrounded by a bilipid layer that can release from almost all cells and could be detected in tissues and biological liquids. These vesicles contain lipids, proteins, and nucleic acids (including DNA, mRNA, and miRNA) inside and on the exosomes' surface constitute their content. Exosomes can transfer their cargo into the recipient cell, which can modify recipient cells' biological activities. Recently it has been deciphering that the miRNA pattern of exosomes reveals the cellular pathophysiological situation and modifies various biological processes. Increasing data regarding exosomes highlights that the exosomes and their cargo, especially miRNAs, are implicated in the pathophysiology of various disorders, such as autoimmune disease. The current evidence on the deciphering of mechanisms in which exosomal miRNAs contributed to autoimmunity was indicated that exosomal miRNA might hold information that can reprogram the function of many of the immune cells involved in autoimmune diseases' pathogenesis. In the present study, we summarized the pathogenic role of exosomal miRNAs in several autoimmune diseases, including myasthenia gravis (MG), psoriasis, inflammatory bowel disease (IBD), type 1 diabetes (T1D), multiple sclerosis (MS), systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), Sjogren's Syndrome (SS), systemic sclerosis (SSc), vitiligo, and autoimmune thyroid diseases (AITD). Moreover, in this work, we present evidence of the potential role of exosomal miRNAs as therapeutic and diagnostic agents in autoimmune diseases.

Immunometabolism in human brucellosis: An emerging field of investigation.

In recent years, extreme attention has been focused on the role of immunometabolism in the regulation of immune cell responses in healthy individuals during infection, autoimmunity, and cancer. In the infection biology area, it has been shown that there is a close relationship between the immune system and the host metabolic changes. Brucella species is an intracellular coccobacillus that infects humans and mammals, which led to brucellosis. Brucella species with host-specific evolutionary mechanisms allow it to hide from or manipulate cellular immunity and achieve intracellular persistence. Intracellular bacterial pathogens such as Brucella species also employ host cell resources to replicate and persist inside the host. Targeting these host systems is one promising strategy for developing novel antimicrobials to tackle intracellular infections. This study will summarize the role of metabolic reprogramming in immune cells and their relationship to brucellosis.

Relevance of autoantibody profile with HLA-DRB1 and -DQB1 alleles in a group of Iranian systemic lupus erythematosus patients.

BACKGROUND: One of the most relevant genetic components in systemic lupus erythematosus (SLE) is human leukocyte antigen (HLA) gene complex which plays a central role in autoimmune responses. This study aimed to explore the associations of HLA-DRB1/-DQB1 alleles and haplotypes with SLE risk and the appearance of autoantibodies in SLE disease. METHODS: A total of 127 SLE patients and 153 ethnically matched healthy controls were enrolled. HLA-DRB1 and HLA-DQB1 alleles were determined by PCR-SSP method and then HLA alleles and haplotypes frequencies were compared between two groups and among the patients in terms of autoantibodies spectrum. RESULTS: We found that HLA-DRB1*03 and HLA-DRB1*16 alleles were significantly associated with increased risk (P = 0.008, PC=0.05 and P = 0.002, PC=0.02 respectively) and DRB1*01 conferred a potential protective role for disease (P = 0.03, PC=0.13). Similar associations were observed at haplotype level; DRB1*03~DQB1*02 (OR1.91,P = 0.01, PC=0.08), DRB1*16~DQB1*05 (OR3.65,P = 0.004,PC=0.06) and DRB1*01~DQB1*05 (OR0.36,P = 0.04, PC=0.22). Remarkably, we observed significantly associations of DRB1*03 with the appearance of anti-SSA/Ro (PC=0.02), anti-SSB/La (PC=0.002) and anti-coagulant (P = 0.007), DRB1*15 with anti-SSA/Ro (PC=0.04), DRB1*16 with anti-Sm (PC=0.02), DRB1*04 with anti-ß2gpI (PC=3 * 10-5), anti-cardiolipin (P = 0.002) and rheumatoid factor (P = 0.004) and DRB1*13 with anti-Sm (PC=0.02) and anti-ß2gpI (PC=0.01) antibodies. Also, negative associations of DRB1*04 with anti-Sm, anti-SSA/Ro, DQB1*03 with anti-Sm and DRB1*11 with anti-Sm and anti-ß2gpI were observed. CONCLUSIONS: We identified DRB1*03 and DRB1*16 as risk alleles and DRB1*01 as a potential protective allele for SLE disease. More importantly, we found a close link between genetic susceptibility for SLE and autoantibodies status that was more evident for DRB1*03 allele.

Clinical Relevance of HLA-DRB1 and -DQB1 Alleles in Iranian Systemic Lupus Erythematosus Patients.

Given the potential link between genetic risk factors and clinical features of systemic lupus erythematosus (SLE), this study aimed to explore the relationship between human leukocyte antigen (HLA)-DRB1/DQB1 alleles and haplotypes and clinical sub-phenotypes of the disease in a group of Iranian SLE patients. HLA-DRB1 and HLA-DQB1 alleles were determined by PCR-SSP in 127 SLE patients and 153 ethnically-matched healthy controls. The relationships between various clinical manifestations and HLA alleles/haplotypes were analyzed in the patients. We observed the positive associations of DRB1*07 and DRB1*07-DQB1*02 haplotypes with articular and pulmonary involvement (p=0.006 and p<0.001 respectively), DRB1*03 and DQB1*02 alleles, and DRB1*03-DQB1*02 haplotypes with cutaneous (p=0.03, p=0.004 and p=0.02 respectively) and renal involvement, and DRB1*13 as well as DRB1*13-DQB1*06 haplotypes with renal involvement. Conversely, negative associations of DRB1*13 with cutaneous and gastrointestinal disorders (p=0.004 and p=0.02 respectively) and DRB1*01 with renal involvement (p=0.03) were found in our patients. Patients carrying susceptible HLA-DRB1 alleles had a higher risk for expression of cutaneous involvement (p=0.03), anti-coagulant antibody development (p=0.01), and a lower risk for pulmonary disorders compared to patients' negatives for susceptible alleles (p=0.04). Our findings on associations between HLA risk allele (DRB1*03) as well as non-risk alleles with particular clinical manifestations and between the potentially protective allele (DRB1*01) and protection against renal involvement indicate the important role of HLA class II genes in predisposing of specific serological and clinical features of SLE disease which could be implicative for therapeutic applications and better management of SLE patients.