International Journal of Immunogenetics最新文献

{"title":"The role of monocyte/macrophage chemokines in pathogenesis of osteoarthritis: A review","authors":"Hao Luo,&nbsp;Linfeng Li,&nbsp;Song Han,&nbsp;Tao Liu","doi":"10.1111/iji.12664","DOIUrl":"10.1111/iji.12664","url":null,"abstract":"<p>Osteoarthritis (OA) is one of the most common degenerative diseases characterised by joint pain, swelling and decreased mobility, with its main pathological features being articular synovitis, cartilage degeneration and osteophyte formation. Inflammatory cytokines and chemokines secreted by activated immunocytes can trigger various inflammatory and immune responses in articular cartilage and synovium, contributing to the genesis and development of OA. A series of monocyte/macrophage chemokines, including monocyte chemotaxis protein (MCP)-1/CCL2, MCP2/CCL8, macrophage inflammatory protein (MIP)-1α/CCL3, MIP-1β/CCL4, MIP-3α/CCL20, regulated upon activation, normal T-cell expressed and secreted /CCL5, CCL17 and macrophage-derived chemokine/CCL22, was proven to transmit cell signals by binding to G protein–coupled receptors on recipient cell surface, mediating and promoting inflammation in OA joints. However, the underlying mechanism of these chemokines in the pathogenesis of OA remains still elusive. Here, published literature was reviewed, and the function and mechanisms of monocyte/macrophage chemokines in OA pathogenesis were summarised. The symptoms and disease progression of OA were found to be effectively alleviated when the expression of these chemokines is inhibited. Elucidating these mechanisms could contribute to further understand how OA develops and provide potential targets for the early diagnosis of arthritis and drug treatment to delay or even halt OA progression.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 3","pages":"130-142"},"PeriodicalIF":2.2,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/iji.12664","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140093888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Homozygous HLA-DQB1*06:02 combined with T-cell receptor alpha polymorphism results in narcolepsy onset – A familial case report","authors":"Steven Jervis,&nbsp;Antony Payton,&nbsp;Arpana Verma,&nbsp;Rachel Thomasson,&nbsp;Kay Poulton","doi":"10.1111/iji.12666","DOIUrl":"10.1111/iji.12666","url":null,"abstract":"<p>Narcolepsy is a life-long neurological disorder with well-established genetic risk factors. Human leukocyte antigen-DQB1*06:02 remains the strongest genetic predeterminant; however, polymorphisms in genes encoding the T-cell receptor alpha chain are also strongly linked. This case report shows the inheritance pathway of these genetic markers contributing to narcolepsy onset in a 17-year-old female.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 3","pages":"187-191"},"PeriodicalIF":2.2,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/iji.12666","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140093887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frequency distribution of HLA class I and II alleles in Greek population and their significance in orchestrating the National Donor Registry Program","authors":"Panagiotis Mallis,&nbsp;Alexandra Siorenta,&nbsp;Erasmia Stamathioudaki,&nbsp;Vasiliki Vrani,&nbsp;George Paterakis","doi":"10.1111/iji.12663","DOIUrl":"10.1111/iji.12663","url":null,"abstract":"<p>Human leukocyte antigens (HLA) represent one of the most polymorphic systems in humans, responsible for the identification of foreign antigens and the presentation of immune responses. Therefore, HLA is considered to play a major role in human disorders, donor-recipient matching and transplantation outcomes. This study aimed to determine the HLA class I and II alleles and haplotypes in the Greek population. Moreover, a comparative analysis of HLA alleles and haplotype frequencies found in Greek and pooled European populations was also performed to acquire a better knowledge about the HLA alleles distribution. A total number of 1896 healthy individuals were typed for their HLA alleles in the National Tissue Typing Center of Greece. High-resolution HLA typing for the HLA-A, -B, -C and -DR, -DQ, -DP with the use of the next-generation sequencing analysis was performed, followed by data analysis for establishing the HLA allele and haplotype differences. The results of this study showed that the most frequent alleles for the HLA-A were the A*02:01:01 (27.1%), *24:02:01 (14.4%), *01:01:01 (9.3%), for the HLA-B were the B*51:01:01 (15.3%), *18:01:01 (9.7%), *35:01:01 (6.8%) and for the HLA-C were the C*04:01:01 (15.4%), *07:01:01 (13.1%), *12:03:01 (9.6%). For the HLA class II, the most frequent alleles for the HLA-DRB1 were the DRB1*11:04:01 (16.4%), *16:01:01 (11.3%), *11:01:01 (9.5%), for the HLA-DQB1 were the DQB1*03:01:01 (30.5%), *05:02:01 (15.1%), *05:01:01 (10.6%) and for the HLA-DPB1 were the DPB1*04:01:01 (34.8%), *02:01:01 (11.6%), *04:02:01 (7.3%). Additionally, the most frequent haplotypes were the A*02:01:01∼C*07:01:01-B*18:01:01∼DRB1*11:04:01 (2.3%), followed by the A*01:01:01∼C*07:01:01∼B*08:01:01∼DRB1*03:01:01 (2.2%), A*24:02:01∼C*04:01:01∼B*35:02:01∼DRB1*11:04:01 (1.4%) and A*02:01:01∼C*04:01:01∼B*35:01:01-DRB1*14:01:01 (1.2%). The results herein were comparable to those obtained from the pooled European populations. Moreover, these results can be used for the improvement of the donor-recipient matching procedure and to understand better the disease association in Greece.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 3","pages":"164-172"},"PeriodicalIF":2.2,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140065155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A functional variant of ALDH1A2 is associated with hand osteoarthritis in the Chinese population","authors":"Jian Dai,&nbsp;Haitao Jiang,&nbsp;Zhaoqi Yang,&nbsp;Chuan Chen,&nbsp;Xiaoming Tang","doi":"10.1111/iji.12662","DOIUrl":"10.1111/iji.12662","url":null,"abstract":"<p>Genome-wide association study identified common variants within the <i>ALDH1A2</i> gene as the susceptible loci of hand osteoarthritis (HOA) in UK and Iceland populations. Located in chromosome 15, <i>ALDH1A2</i> encodes aldehyde dehydrogenase family 1 member A2, which is an enzyme that catalyses the synthesis of retinoic acid from retinaldehyde. Our purposes were to replicate the association of functional variant in <i>ALDH1A2</i> with the development of HOA in the Chinese population. Variant rs12915901 of <i>ALDH1A2</i> was genotyped in 872 HOA patients and 1223 healthy controls. Subchondral bone samples were collected from 40 patients who had undergone a trapeziectomy, and the tissue expression of <i>ALDH1A2</i> was analysed. The chi-square analysis was used to compare the frequency of genotype and risk allele between the HOA cases and controls. The Student <i>t</i> test was used to compare the mRNA expression of <i>ALDH1A2</i> between patients with genotype AA/AG and those with genotype GG. The frequency of genotype AA was significantly higher in HOA patients than in the controls (7.6% vs. 5.1%, <i>p</i> = .01). The frequency of allele A was significantly higher in the patients than in the controls (28.9% vs. 24.6%, <i>p</i> = .005). The mRNA expression of <i>ALDH1A2</i> was 1.31-folds higher in patients with genotype GG than in the patients with genotype AA/AG (0.000617 ± 0.000231 vs. 0.000471 ± 0.000198, <i>p</i> = .04). Variant rs12915901 of <i>ALDH1A2</i> contributed to the susceptibility of HOA in the Chinese population. Allele A of rs12915901 can add to the risk of HOA possibly via down-regulation of <i>ALDH1A2</i> expression.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 3","pages":"157-163"},"PeriodicalIF":2.2,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140028021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Redundancy and absurd names in immunology","authors":"Piotr Kuśnierczyk","doi":"10.1111/iji.12660","DOIUrl":"10.1111/iji.12660","url":null,"abstract":"<p>In this short review, examples of unnecessary multiple names of cell membrane molecules, for example, immune checkpoints and cytokines, are presented. Moreover, ridiculous or inaccurate names, such as ‘Regulated on activation, normal T-cell expressed and secreted’ and ‘tissue factor’, are discussed.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 3","pages":"125-129"},"PeriodicalIF":2.2,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/iji.12660","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139968629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting flow cytometry crossmatch results from single-antigen bead testing","authors":"Patrick A. Flynn,&nbsp;Sebastian Fernando,&nbsp;Judith E. Worthington,&nbsp;Kay V. Poulton","doi":"10.1111/iji.12658","DOIUrl":"10.1111/iji.12658","url":null,"abstract":"<p>The aim of this study was to devise an algorithm that would predict flow cytometry crossmatch (FCXM) results using single-antigen bead (SAB) mean fluorescent intensity (MFI) levels using samples received through the National External Quality Assurance Scheme (NEQAS) 2B external proficiency testing scheme between 2019 and 2023. A total of 159 serum samples were retrospectively screened using LABScreen Single Antigen Class I and II (SAB), and 40 peripheral blood samples were human leucocyte antigen (HLA) typed with LABType SSO. Donor-specific antibodies were identified for each cell–serum combination tested, and cumulative MFI values were calculated for each test before correlating the screening result with the consensus crossmatch results for this scheme. HLA Class I MFIs were combined to predict the T cell crossmatch. For the B cell crossmatch prediction, two options were considered: (i) HLA Class II MFI values alone and (ii) HLA Class I + Class II MFIs. Receiver operating characteristic analysis was carried out to identify the combined MFI threshold that predicted NEQAS consensus results with the greatest sensitivity and specificity. HLA Class I combined MFI &gt;5000 predicted T cell crossmatch results with 96% sensitivity, 100% specificity, 100% positive predictive value (PPV) and 92% negative predictive value (NPV). For B cell results, HLA Class I + Class II combined MFIs &gt;11,000 gave the best model, showing 97% sensitivity, 82% specificity, 96% PPV and 85% NPV. However, for samples with only HLA Class II sensitization, combined MFIs &gt;13,000 improved the B cell crossmatch predictions: 92% sensitivity, 95% specificity, 96% PPV and 91% NPV. Using this model, combined MFI can be used to predict the immunological risk posed by donor-specific antibodies when it is not possible to carry out an FCXM.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 2","pages":"93-99"},"PeriodicalIF":2.2,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139905598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nomenclature for factors of the HLA system, update October, November and December 2023","authors":"Steven G. E. Marsh,&nbsp;for the WHO Nomenclature Committee for Factors of the HLA System","doi":"10.1111/iji.12657","DOIUrl":"10.1111/iji.12657","url":null,"abstract":"","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 2","pages":"100-123"},"PeriodicalIF":2.2,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139729572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Saliva direct PCR protocol for HLA-DQB1*02 genotyping","authors":"Angeles Carrillo,&nbsp;María Jimena Manzur,&nbsp;Maximiliano Juri Ayub","doi":"10.1111/iji.12656","DOIUrl":"10.1111/iji.12656","url":null,"abstract":"<p>Celiac disease (CD) is an immune disorder, that is triggered by gluten ingestion in genetically predisposed individuals. The HLA-DQB1*02 allele is the main predisposing genetic factor and a candidate for first-line genotyping screening. We designed and validated a simple, DNA purification-free PCR protocol directly from crude saliva, enabling the detection of the DQB1*02 allele. This assay also distinguishes homozygous from heterozygous carriers. We propose this method for use in mass screening and/or epidemiological studies.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 2","pages":"89-92"},"PeriodicalIF":2.2,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139650747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation of single nucleotide polymorphisms in the AGT gene with susceptibility to systemic lupus erythematosus in Northeast China","authors":"Huitao Wu,&nbsp;Xuan Zhang,&nbsp;Guiling Lin,&nbsp;Qi Zhang,&nbsp;Ziman He,&nbsp;Zhe Wang,&nbsp;Wenlu Xu,&nbsp;Xiyu Yin,&nbsp;Linglan Su,&nbsp;Yanping Zhuang,&nbsp;Aimin Gong","doi":"10.1111/iji.12655","DOIUrl":"10.1111/iji.12655","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>To investigate the correlation between susceptibility to systemic lupus erythematosus (SLE) and single nucleotide polymorphisms (SNPs) rs699, rs4762 and rs1926723 in the AGT gene in the population of Northeast China, while also introducing a new method for early detection of SLE. <b>A total of 856 cases of SLE patients and healthy volunteers</b> who attended the First Affiliated Hospital of Harbin Medical University from January 2020 to December 2022 were recruited. Clinical information and biood samples were collected from particpants in this study. SNaPshot sequencing technology was used to sequence the bases of the rs699, rs4762 and rs1926723 in the AGT gene. The genetic stability of SNPs was analysed by means of Hardy–Weinberg (HWE) genetic equilibrium. The study examined the correlation between genetically stable SNPs and susceptibility to SLE using logistic regression analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <p>Rs699 did not adhere to the principles of the HWE genetic equilibrium (<i>p</i> &lt; .01). Conversely, both rs4762 and rs1926723 conformed to the HWE genetic equilibrium (<i>p</i> &gt; .05). However, no significant differences in genotypes and alleles frequencies of the rs4762 were observed between the two groups (<i>p</i> &gt; .05). Furthermore, there was a significant difference in the distribution of AG, GG genotypes frequency and G allele frequency at the rs1926723 between the two groups (<i>p</i> &lt; .001). Individuals with AG and GG genotypes and the G allele had a significantly lower frequency of SLE, indicating a potential genetic protective factor against susceptibility to the SLE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <p>The SNPs rs1926723 may be linked to the susceptibility to SLE, and the AG, GG genotypes and the G allele may be important protective factors for the development of SLE in Northeast China.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 2","pages":"81-88"},"PeriodicalIF":2.2,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/iji.12655","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139542043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-invasive molecular biomarkers for monitoring solid organ transplantation: A comprehensive overview","authors":"Jeffy J Fernando,&nbsp;Raja Biswas,&nbsp;Lalitha Biswas","doi":"10.1111/iji.12654","DOIUrl":"10.1111/iji.12654","url":null,"abstract":"<p>Solid organ transplantation is a life-saving intervention for individuals with end-stage organ failure. Despite the effectiveness of immunosuppressive therapy, the risk of graft rejection persists in all viable transplants between individuals. The risk of rejection may vary depending on the degree of compatibility between the donor and recipient for both human leucocyte antigen (HLA) and non-HLA gene-encoded products. Monitoring the status of the allograft is a critical aspect of post-transplant management, with invasive biopsies being the standard of care for detecting rejection. Non-invasive biomarkers are increasingly being recognized as valuable tools for aiding in the detection of graft rejection, monitoring graft status and evaluating the efficacy of immunosuppressive therapy. Here, we focus on the importance of molecular biomarkers in solid organ transplantation and their potential role in clinical practice. Conventional molecular biomarkers used in transplantation include HLA typing, detection of anti-HLA antibodies, killer cell immunoglobulin–like receptor genotypes, and anti-MHC class 1–related chain A antibodies, which are important for assessing the compatibility of the donor and recipient. Emerging molecular biomarkers include the detection of donor-derived cell-free DNA, microRNAs (regulation of gene expression), exosomes (small vesicles secreted by cells), and kidney solid organ response test, in the recipient's blood for early signs of rejection. This review highlights the strengths and limitations of these molecular biomarkers and their potential role in improving transplant outcomes.</p>","PeriodicalId":14003,"journal":{"name":"International Journal of Immunogenetics","volume":"51 2","pages":"47-62"},"PeriodicalIF":2.2,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/iji.12654","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139417020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}