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Homozygous Loss of Function PIK3CD Mutation in Multiple Siblings Leading To B Cell Dysregulation and Autoimmunity. 多兄弟姐妹中PIK3CD突变导致B细胞失调和自身免疫的纯合子功能丧失
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-09-30 DOI: 10.1007/s10875-025-01938-3
Huda Alajlan, Amer Al-Mazrou, Hibah Alruwaili, Safia Sumayli, Ali Almehaidib, Khalid Alsaleem, Sawsan Abu Awwad, Hazem Ghebeh, Monther Al-Alwan, Anas M Alazami, Hamoud Al-Mousa

Phosphatidylinositol 3-kinases (PI3Ks) are heterodimeric lipid kinases that are involved in a diverse array of cellular functions such as growth, metabolism, and migration. Mutations in PIK3CD, which encodes an immune-specific catalytic subunit of PI3K, cause both dominant (activating) and recessive (loss of function) immune deficiencies in humans. Here we report a family with three affected children carrying a novel bi-allelic, truncating mutation in PIK3CD. All three patients exhibited chronic diarrhea and recurrent sinopulmonary infections. Immunoblot confirmed loss of protein along with reduced expression of the associated p85α regulatory subunit. Immune phenotyping showed B cell dysregulation with abnormally high levels of naïve cells. In vitro functional testing of CD19 + and enriched naïve B cells revealed impaired proliferation, and reduction in class-switch recombination upon CD40L and IL-21 stimulation. Our data raise the possibility that PI3K-related dysregulation in human B cells may be broader than in mouse models, where class-switch recombination can still occur with external T cell help. Our study substantially increases the limited number of patients known to have immune deficiency due to loss of PIK3CD.

磷脂酰肌醇3-激酶(pi3k)是一种异二聚体脂质激酶,参与多种细胞功能,如生长、代谢和迁移。PIK3CD编码PI3K的免疫特异性催化亚基,其突变导致人类显性(激活)和隐性(功能丧失)免疫缺陷。在这里,我们报告了一个有三个患病儿童的家庭,他们携带一种新的双等位基因,截断PIK3CD突变。3例患者均表现为慢性腹泻和复发性肺感染。免疫印迹证实了蛋白的缺失以及相关p85α调控亚基的表达减少。免疫表型显示B细胞失调,naïve细胞水平异常高。CD19 +和富集naïve B细胞的体外功能测试显示,在CD40L和IL-21刺激下,B细胞增殖受损,类转换重组减少。我们的数据提出了一种可能性,即人类B细胞中pi3k相关的失调可能比小鼠模型更广泛,在小鼠模型中,类转换重组仍然可以在外部T细胞的帮助下发生。我们的研究大大增加了已知因PIK3CD缺失而存在免疫缺陷的有限患者数量。
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引用次数: 0
Malignancy and Autoimmune Susceptibility in Adult Patients with Human Inborn Errors of Immunity. 成人先天性免疫缺陷患者的恶性肿瘤和自身免疫易感性
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-09-30 DOI: 10.1007/s10875-025-01935-6
Alejandro Segura-Tudela, Celia Nieto-López, Francisco Javier Bermejo-Olivera, Luis A Andara, Javier Arroyo-Ródenas, Lucía Dueñas-Prieto, Ángel Alfocea-Molina, Estela Paz-Artal, Daniel Pleguezuelo, Oscar Cabrera-Marante, Luis M Allende

Inborn errors of immunity (IEI) are a heterogeneous group of genetic disorders that disrupt the normal development and function of the immune system. These diseases not only increase susceptibility to infections but also significantly elevate the risk of developing malignancies and autoimmune diseases. The interplay between immune dysregulation, chronic inflammation, and altered cellular homeostasis in IEI can lead to aberrant cellular proliferation and self-reactive immune responses. Malignancy in IEI often arises due to the immune system's failure to effectively eliminate transformed cells, predisposing patients to lymphomas, leukemias and solid tumors. Autoimmune diseases in IEI can result from defective T-regulatory cell function, impaired central or peripheral tolerance mechanisms or B-cell dysregulation leading to autoantibody production. This work was a retrospective study of 173 adults with IEI suspicion who underwent genetic sequencing between 2005 and 2023. A significant increase of malignancies was observed in patients with a molecular diagnosis (w_MolDx) compared to those without (wo_MolDx). Notably, hematologic malignancies were predominant in the w_MolDx cohort, whereas solid tumors were more frequently observed in the wo_MolDx group. In contrast, the correlation between autoimmune diseases and molecular diagnosis was less evident when comparing w_MolDx and wo_MolDx patients. Understanding the complex relationship between IEI, malignancies and autoimmunity is crucial for optimizing patient management. Early diagnosis of IEI allows for timely interventions, including hematopoietic stem cell transplantation, gene therapy and targeted immunomodulatory therapies, which can mitigate the risk of both malignancies and autoimmune complications.

先天性免疫错误(IEI)是一组异质性遗传疾病,破坏免疫系统的正常发育和功能。这些疾病不仅增加了感染的易感性,而且显著提高了发生恶性肿瘤和自身免疫性疾病的风险。在IEI中,免疫失调、慢性炎症和细胞稳态改变之间的相互作用可导致异常的细胞增殖和自我反应性免疫反应。IEI的恶性肿瘤通常是由于免疫系统不能有效地消除转化细胞,使患者易患淋巴瘤、白血病和实体瘤。IEI的自身免疫性疾病可由t调节细胞功能缺陷、中枢或外周耐受机制受损或b细胞失调导致自身抗体产生引起。这项工作是对173名疑似患有IEI的成年人进行的回顾性研究,他们在2005年至2023年间接受了基因测序。与没有分子诊断(w_MolDx)的患者相比,观察到有分子诊断(w_MolDx)的患者的恶性肿瘤显著增加。值得注意的是,血液学恶性肿瘤在w_MolDx组中占主导地位,而实体肿瘤在wo_MolDx组中更常见。相比之下,在比较w_MolDx和wo_MolDx患者时,自身免疫性疾病与分子诊断的相关性不太明显。了解IEI、恶性肿瘤和自身免疫之间的复杂关系对于优化患者管理至关重要。IEI的早期诊断允许及时干预,包括造血干细胞移植、基因治疗和靶向免疫调节治疗,这可以减轻恶性肿瘤和自身免疫性并发症的风险。
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引用次数: 0
Diagnostic and Monitoring Strategies for VEXAS Syndrome: Evaluating Sanger Sequencing, NGS, and the SWIM-Score. VEXAS综合征的诊断和监测策略:评估Sanger测序,NGS和swim评分。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-09-30 DOI: 10.1007/s10875-025-01932-9
Lasse von Bornemann Fløe, Kirstine Overgaard Dyrmose, Camilla Darum Sørensen, Maja Nørgaard, Fie Kirstine Udby Pedersen, Johan Vad-Nielsen, Michael Knudsen, Mette Christiansen, Marie Bill, Mads Nyhuus Bendix Rasch, Ellen Margrethe Hauge, Anne Troldborg, Nicklas Heine Staunstrup, Jens Magnus Bernth Jensen

VEXAS syndrome is an adult-onset autoinflammatory disorder caused by somatic UBA1 variants, but there are no standardized criteria for genetic testing or diagnostics. This study compared Sanger sequencing and next-generation sequencing (NGS) for detecting UBA1 variants in patients with suspected VEXAS, assessed the ability of Sanger sequencing to estimate variant allele fractions (VAFs), and evaluated the Maeda et al. scoring system for selecting patients for genetic testing in a primary cohort and a validation cohort. In the primary cohort of 104 patients, Sanger sequencing identified VEXAS variants in 12%, with no additional cases detected by NGS. Sanger sequencing accurately quantified VAFs ranging from 0.1 to 0.9. In a small longitudinal subset (n = 3), VAFs in blood correlated with CRP levels, increased over time despite various treatments, but decreased in two patients after initiation of Azacitidine treatment. The novel parameters, VAF in myeloid cells and VEXAS cell concentration, showed promise as exploratory markers for patient monitoring. The Maeda-score, requiring a threshold score of 2 for 100% sensitivity, exhibited low specificity-29% in the primary cohort and 41% in the validation cohort (n = 62, with 2 carrying VEXAS variants). In contrast, the simplified SWIM-score-based on Skin involvement, Weight loss, Inflammation, and Macrocytic anemia-achieved 100% sensitivity in both cohorts, with higher specificities of 47% and 65%, respectively. In conclusion, Sanger sequencing reliably detected UBA1 variants and quantified VAFs. Monitoring VAF and VEXAS cell concentration may track disease progression, and the SWIM-score demonstrated potential for accurately selecting patients for UBA1 testing.

VEXAS综合征是一种成人发病的自身炎症性疾病,由体细胞UBA1变异引起,但没有标准化的基因检测或诊断标准。本研究比较了Sanger测序和下一代测序(NGS)在疑似VEXAS患者中检测UBA1变异的能力,评估了Sanger测序估计变异等位基因分数(VAFs)的能力,并评估了Maeda等人在初级队列和验证队列中选择患者进行基因检测的评分系统。在104例患者的主要队列中,Sanger测序在12%的患者中发现了VEXAS变异,NGS未检测到其他病例。Sanger测序准确地定量了0.1至0.9范围内的vaf。在一个小的纵向亚群(n = 3)中,血液中的VAFs与CRP水平相关,尽管接受了各种治疗,但随着时间的推移,VAFs升高,但在两名患者开始阿扎胞苷治疗后,VAFs下降。新的参数,髓细胞VAF和VEXAS细胞浓度,有望作为患者监测的探索性标记。maeda评分要求阈值为2分才能达到100%的敏感性,但其特异性较低,在主要队列中为29%,在验证队列中为41% (n = 62,其中2例携带VEXAS变体)。相比之下,简化的基于皮肤受累、体重减轻、炎症和大细胞性贫血的swim评分在两个队列中均达到100%的敏感性,特异性分别为47%和65%。总之,Sanger测序可靠地检测了UBA1变异并定量了vaf。监测VAF和VEXAS细胞浓度可以跟踪疾病进展,swim评分显示了准确选择患者进行UBA1检测的潜力。
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引用次数: 0
Malignancy in Adults with Inborn Errors of Immunity: A Retrospective Single-Center Study. 恶性肿瘤与先天性免疫缺陷的成人:一项回顾性单中心研究。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-09-25 DOI: 10.1007/s10875-025-01910-1
Reyhan Gumusburun, Onurcan Yıldırım, Metehan Karakoc, Kasım Okan, Sinem Inan, Ceyda Tunakan Dalgıc, Hatice Serpil Akten, Gulhan Bogatekin, Gokten Bulut, Meryem Demir, Hasibe Aytac, Asuman Camyar, Melih Ozısık, Derya Demir, Nur Soyer, Mehmet Soylu, Funda Elmas Uysal, Ayca Aykut, Asude Durmaz, Semiha Ozgul, Aytul Zerrin Sin, Omur Ardeniz

Purpose: Inborn Errors of Immunity (IEI) often lead to recurrent infections, immune dysregulation, and an increased risk of malignancies. Due to the heterogeneity in IEI presentations, personalized monitoring is essential for early detection of non-infectious complications. This study aims to document the characteristics and prevalence of malignancies in IEI patients.

Methods: A retrospective review of 355 patients diagnosed with IEI at the Adult Allergy and Immunology Clinic of Ege University was conducted. Data on demographics, clinical presentations, laboratory results, and immunological and genetic profiles of patients with malignancies were analyzed.  RESULTS: A total of 40 patients with neoplasia (F/M: 18/22; median age: 51.58 years, range: 18-91) were evaluated. The median ages at IEI symptom onset, diagnosis, and neoplasm diagnosis were 16.5, 45, and 39.5 years, respectively. Malignancy was diagnosed in 60% of patients before IEI, with referrals for low immunoglobulin levels and/or severe infections, and for a genetic profile suggestive of immunodeficiency. The prevalence of malignancy in the overall cohort was 10.42% (37/355), while it was significantly higher in the common variable immunodeficiency (CVID) subgroup, reaching 20.44% (28/137). Lymphoma was the most common malignancy at 45.9%, primarily non-Hodgkin lymphoma (NHL) at 40.5%, with diffuse large B-cell lymphoma (DLBCL) as a key subtype; carcinomas were the second most common at 35.1%. Hematologic malignancies were significantly more frequent among patients with CVID (90.5%), whereas non-hematologic malignancies predominated in the non-CVID group (77.8%) (p = 0.024). Lymphoproliferation was more common in hematologic malignancies (85.7%) compared to non-hematologic malignancies (25.0%) (p < 0.001). Genetic variants were identified in 61% of cases, with 37% classified as pathogenic or likely pathogenic, including variants in TNFRSF13B/TACI, CCDC40, PLCG2, ATM, CARD11, CHEK2, CNV, COPB1, HPS5, LYST, MAPK8IP1, NBS1, NF1, NFKBIA, PI4KA, POLE, SPI1, and TAP2.

Conclusions: Findings confirm that NHL, particularly DLBCL, is the most prevalent malignancy in this cohort. Given the link between malignancies and underlying IEI, immunologic evaluation is recommended, particularly for NHL patients. The observed predominance of hematologic malignancies among CVID patients and the association with lymphoproliferation further emphasize the need for heightened malignancy surveillance and early immunologic workup in this subgroup. Further research on biomarkers for malignancy prediction in IEI is warranted.

目的:先天性免疫错误(IEI)经常导致复发性感染、免疫失调和恶性肿瘤的风险增加。由于IEI表现的异质性,个性化监测对于早期发现非感染性并发症至关重要。本研究旨在记录IEI患者恶性肿瘤的特征和患病率。方法:回顾性分析在Ege大学成人过敏与免疫学诊所诊断为IEI的355例患者。分析了恶性肿瘤患者的人口统计学、临床表现、实验室结果、免疫学和遗传学资料。结果:共评估40例肿瘤患者(F/M: 18/22;中位年龄:51.58岁,范围:18-91)。IEI症状出现、诊断和肿瘤诊断的中位年龄分别为16.5岁、45岁和39.5岁。在IEI之前,60%的患者被诊断为恶性肿瘤,并转诊为低免疫球蛋白水平和/或严重感染,以及提示免疫缺陷的遗传谱。在整个队列中,恶性肿瘤的患病率为10.42%(37/355),而在常见可变免疫缺陷(CVID)亚组中,恶性肿瘤的患病率明显更高,达到20.44%(28/137)。淋巴瘤是最常见的恶性肿瘤,占45.9%,主要是非霍奇金淋巴瘤(NHL)占40.5%,弥漫性大b细胞淋巴瘤(DLBCL)是一个关键亚型;第二常见的是癌症,占35.1%。血液系统恶性肿瘤在CVID患者中更为常见(90.5%),而非血液系统恶性肿瘤在非CVID组中占主导地位(77.8%)(p = 0.024)。与非血液恶性肿瘤(25.0%)相比,淋巴细胞增生在血液恶性肿瘤中更为常见(85.7%)(p)。结论:研究结果证实,NHL,特别是DLBCL,是该队列中最常见的恶性肿瘤。鉴于恶性肿瘤与潜在的IEI之间的联系,建议进行免疫评估,特别是对NHL患者。在CVID患者中观察到的血液系统恶性肿瘤的优势以及与淋巴细胞增殖的关联进一步强调了在该亚组中加强恶性肿瘤监测和早期免疫检查的必要性。对IEI恶性肿瘤预测的生物标志物的进一步研究是有必要的。
{"title":"Malignancy in Adults with Inborn Errors of Immunity: A Retrospective Single-Center Study.","authors":"Reyhan Gumusburun, Onurcan Yıldırım, Metehan Karakoc, Kasım Okan, Sinem Inan, Ceyda Tunakan Dalgıc, Hatice Serpil Akten, Gulhan Bogatekin, Gokten Bulut, Meryem Demir, Hasibe Aytac, Asuman Camyar, Melih Ozısık, Derya Demir, Nur Soyer, Mehmet Soylu, Funda Elmas Uysal, Ayca Aykut, Asude Durmaz, Semiha Ozgul, Aytul Zerrin Sin, Omur Ardeniz","doi":"10.1007/s10875-025-01910-1","DOIUrl":"10.1007/s10875-025-01910-1","url":null,"abstract":"<p><strong>Purpose: </strong>Inborn Errors of Immunity (IEI) often lead to recurrent infections, immune dysregulation, and an increased risk of malignancies. Due to the heterogeneity in IEI presentations, personalized monitoring is essential for early detection of non-infectious complications. This study aims to document the characteristics and prevalence of malignancies in IEI patients.</p><p><strong>Methods: </strong>A retrospective review of 355 patients diagnosed with IEI at the Adult Allergy and Immunology Clinic of Ege University was conducted. Data on demographics, clinical presentations, laboratory results, and immunological and genetic profiles of patients with malignancies were analyzed.  RESULTS: A total of 40 patients with neoplasia (F/M: 18/22; median age: 51.58 years, range: 18-91) were evaluated. The median ages at IEI symptom onset, diagnosis, and neoplasm diagnosis were 16.5, 45, and 39.5 years, respectively. Malignancy was diagnosed in 60% of patients before IEI, with referrals for low immunoglobulin levels and/or severe infections, and for a genetic profile suggestive of immunodeficiency. The prevalence of malignancy in the overall cohort was 10.42% (37/355), while it was significantly higher in the common variable immunodeficiency (CVID) subgroup, reaching 20.44% (28/137). Lymphoma was the most common malignancy at 45.9%, primarily non-Hodgkin lymphoma (NHL) at 40.5%, with diffuse large B-cell lymphoma (DLBCL) as a key subtype; carcinomas were the second most common at 35.1%. Hematologic malignancies were significantly more frequent among patients with CVID (90.5%), whereas non-hematologic malignancies predominated in the non-CVID group (77.8%) (p = 0.024). Lymphoproliferation was more common in hematologic malignancies (85.7%) compared to non-hematologic malignancies (25.0%) (p < 0.001). Genetic variants were identified in 61% of cases, with 37% classified as pathogenic or likely pathogenic, including variants in TNFRSF13B/TACI, CCDC40, PLCG2, ATM, CARD11, CHEK2, CNV, COPB1, HPS5, LYST, MAPK8IP1, NBS1, NF1, NFKBIA, PI4KA, POLE, SPI1, and TAP2.</p><p><strong>Conclusions: </strong>Findings confirm that NHL, particularly DLBCL, is the most prevalent malignancy in this cohort. Given the link between malignancies and underlying IEI, immunologic evaluation is recommended, particularly for NHL patients. The observed predominance of hematologic malignancies among CVID patients and the association with lymphoproliferation further emphasize the need for heightened malignancy surveillance and early immunologic workup in this subgroup. Further research on biomarkers for malignancy prediction in IEI is warranted.</p>","PeriodicalId":15531,"journal":{"name":"Journal of Clinical Immunology","volume":"45 1","pages":"128"},"PeriodicalIF":5.7,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12460494/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145137757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity. 常见的可变免疫缺陷障碍:来自印度150名患者队列的十年见解和使用机器学习算法预测严重程度。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-08-26 DOI: 10.1007/s10875-025-01897-9
Umair Ahmed Bargir, Priyanka Setia, Mukesh Desai, Chandrakala S, Aparna Dalvi, Shweta Shinde, Maya Gupta, Neha Jodhawat, Amrutha Jose, Mayuri Goriwale, Reetika Malik Yadav, Disha Vedpathak, Lavina Temkar, Snehal Shabrish, Gouri Hule, Vijaya Gowri, Prasad Taur, Amita Athavale, Farah Jijina, Shobna Bhatia, Akash Shukla, Manas Kalra, Meena Sivasankaran, Sarath Balaji, Punit Jain, Sujata Sharma, Harikrishnan Gangadharan, Gaurav Narula, Ratna Sharma, Pranoti Kini, Mamta Mangalani, Abhishek Zanwar, Himanshi Chaudhary, Narendra Kumar Chaudhary, Ujjawal Khurana, Ashish Bavdekar, Girish Subramaniam, Revathi Raj, Subhaprakash Saniyal, Nitin Shah, Tehsin Petiwala, Prawin Kumar, Venkatesh Pai, Sagar Bhattad, Abhinav Sengupta, Manish Soneja, Dayanand Upase, Abhijeet Ganapule, Indrani Talukdar, Manisha Madkaikar

Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops a machine learning model for predicting disease severity. We retrospectively analyzed 150 patients diagnosed with CVID over a decade at a tertiary care center in India. The median age of diagnosis was 18 years, with a male predominance (62%). The majority of patients (66.6%) had a severe phenotype, with recurrent respiratory tract infections being the most common clinical manifestation (84.2%). Gastrointestinal complications were observed in 45% of patients, while autoimmune manifestations were seen in 21%. All patients exhibited hypogammaglobulinemia. IgA levels varied, with 7.8% normal and 14.5% undetectable. IgM levels were decreased in 85.5% of patients. B-cell analysis revealed 64.4% had reduced class-switched memory B cells, with 21.7% showing very low levels. Nine adult patients presented with late-onset combined immunodeficiency. Genetic testing, performed on 52 patients, identified underlying monogenic causes in 29 pediatric and 15 adult patients. LRBA deficiency was the most common genetic defect, found in seven pediatric and three adult patients. We developed a novel machine learning-based severity prediction model for CVID patients, utilizing readily available lymphocyte subsets, class-switched memory B cell counts, and serum immunoglobulin levels to provide an accessible and robust tool for predicting disease severity using Ameratunga's clinical severity score. Random Forest outperformed other models across all metrics, achieving an accuracy of 0.853 (95% CI: 0.840-0.866). Feature importance analysis across all models identified Th-Tc ratio, CD19, and IgM levels as the most influential predictors for severity prediction. Our study highlights the diverse clinical and immunological features of CVID in Indian patients, emphasizing the need for early diagnosis and individualized management strategies. The machine learning model developed using commonly available immune parameters provide a robust tool for predicting disease severity, potentially guiding treatment strategies to improve patient outcomes.

常见变异性免疫缺陷(CVID)是一种异质性疾病,其特征是抗体产生受损和反复感染。在这项研究中,我们调查了印度患者CVID的临床和免疫学特征,并开发了一种预测疾病严重程度的机器学习模型。我们回顾性分析了印度一家三级医疗中心十多年来诊断为CVID的150例患者。中位诊断年龄为18岁,男性居多(62%)。大多数患者(66.6%)表型严重,以反复呼吸道感染为最常见的临床表现(84.2%)。45%的患者出现胃肠道并发症,21%的患者出现自身免疫表现。所有患者均表现为低丙种球蛋白血症。IgA水平变化,7.8%正常,14.5%检测不到。85.5%的患者IgM水平下降。B细胞分析显示,64.4%的B细胞类型转换记忆减少,21.7%的B细胞非常低。9例成人患者表现为迟发性联合免疫缺陷。对52名患者进行了基因检测,在29名儿科患者和15名成人患者中确定了潜在的单基因原因。LRBA缺乏症是最常见的遗传缺陷,在7名儿童和3名成人患者中发现。我们开发了一种新的基于机器学习的CVID患者严重程度预测模型,利用易于获得的淋巴细胞亚群、类别转换记忆B细胞计数和血清免疫球蛋白水平,为使用Ameratunga临床严重程度评分预测疾病严重程度提供了一种易于获取和强大的工具。随机森林在所有指标上都优于其他模型,达到0.853的准确率(95% CI: 0.840-0.866)。所有模型的特征重要性分析发现Th-Tc比率、CD19和IgM水平是对严重程度预测最具影响力的预测因子。我们的研究强调了印度患者CVID的不同临床和免疫学特征,强调了早期诊断和个性化管理策略的必要性。使用常用免疫参数开发的机器学习模型为预测疾病严重程度提供了强大的工具,可能指导治疗策略以改善患者的预后。
{"title":"Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity.","authors":"Umair Ahmed Bargir, Priyanka Setia, Mukesh Desai, Chandrakala S, Aparna Dalvi, Shweta Shinde, Maya Gupta, Neha Jodhawat, Amrutha Jose, Mayuri Goriwale, Reetika Malik Yadav, Disha Vedpathak, Lavina Temkar, Snehal Shabrish, Gouri Hule, Vijaya Gowri, Prasad Taur, Amita Athavale, Farah Jijina, Shobna Bhatia, Akash Shukla, Manas Kalra, Meena Sivasankaran, Sarath Balaji, Punit Jain, Sujata Sharma, Harikrishnan Gangadharan, Gaurav Narula, Ratna Sharma, Pranoti Kini, Mamta Mangalani, Abhishek Zanwar, Himanshi Chaudhary, Narendra Kumar Chaudhary, Ujjawal Khurana, Ashish Bavdekar, Girish Subramaniam, Revathi Raj, Subhaprakash Saniyal, Nitin Shah, Tehsin Petiwala, Prawin Kumar, Venkatesh Pai, Sagar Bhattad, Abhinav Sengupta, Manish Soneja, Dayanand Upase, Abhijeet Ganapule, Indrani Talukdar, Manisha Madkaikar","doi":"10.1007/s10875-025-01897-9","DOIUrl":"https://doi.org/10.1007/s10875-025-01897-9","url":null,"abstract":"<p><p>Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops a machine learning model for predicting disease severity. We retrospectively analyzed 150 patients diagnosed with CVID over a decade at a tertiary care center in India. The median age of diagnosis was 18 years, with a male predominance (62%). The majority of patients (66.6%) had a severe phenotype, with recurrent respiratory tract infections being the most common clinical manifestation (84.2%). Gastrointestinal complications were observed in 45% of patients, while autoimmune manifestations were seen in 21%. All patients exhibited hypogammaglobulinemia. IgA levels varied, with 7.8% normal and 14.5% undetectable. IgM levels were decreased in 85.5% of patients. B-cell analysis revealed 64.4% had reduced class-switched memory B cells, with 21.7% showing very low levels. Nine adult patients presented with late-onset combined immunodeficiency. Genetic testing, performed on 52 patients, identified underlying monogenic causes in 29 pediatric and 15 adult patients. LRBA deficiency was the most common genetic defect, found in seven pediatric and three adult patients. We developed a novel machine learning-based severity prediction model for CVID patients, utilizing readily available lymphocyte subsets, class-switched memory B cell counts, and serum immunoglobulin levels to provide an accessible and robust tool for predicting disease severity using Ameratunga's clinical severity score. Random Forest outperformed other models across all metrics, achieving an accuracy of 0.853 (95% CI: 0.840-0.866). Feature importance analysis across all models identified Th-Tc ratio, CD19, and IgM levels as the most influential predictors for severity prediction. Our study highlights the diverse clinical and immunological features of CVID in Indian patients, emphasizing the need for early diagnosis and individualized management strategies. The machine learning model developed using commonly available immune parameters provide a robust tool for predicting disease severity, potentially guiding treatment strategies to improve patient outcomes.</p>","PeriodicalId":15531,"journal":{"name":"Journal of Clinical Immunology","volume":"45 1","pages":"127"},"PeriodicalIF":5.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12380919/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144956147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
To The Editor a Novel Mutation in MALT1 Deficiency. 致编辑:MALT1缺乏症的新突变。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-08-25 DOI: 10.1007/s10875-025-01924-9
Hulya Kose
{"title":"To The Editor a Novel Mutation in MALT1 Deficiency.","authors":"Hulya Kose","doi":"10.1007/s10875-025-01924-9","DOIUrl":"https://doi.org/10.1007/s10875-025-01924-9","url":null,"abstract":"","PeriodicalId":15531,"journal":{"name":"Journal of Clinical Immunology","volume":"45 1","pages":"126"},"PeriodicalIF":5.7,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12378693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144956165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Self-reported Clinical Outcomes and Quality of Life in Agammaglobulinemia: the Importance of an Early Diagnosis. 无球蛋白血症患者自我报告的临床结果和生活质量:早期诊断的重要性。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-08-25 DOI: 10.1007/s10875-025-01904-z
Maartje Blom, Annelotte J Duintjer, Mahnaz Jamee, Melanie de Gier, Markéta Bloomfield, Adam Klocperk, Pavlina Kralickova, Neslihan E Karaca, Oksana Boyarchuk, Peter Čižnár, Miloš Jeseňák, Svetlana Sharapova, Ekaterina Skopovets, Luis I Gonzalez-Granado, Serena Palmeri, Stefano Volpi, Andrea Martin Nalda, Sonia Rodriguez Tello, Pere Soler-Palacín, Hassan Abolhassani, Federica Pulvirenti, Bianca Cinicola, Uwe Wintergerst, Godelieve J de Bree, J Merlijn van den Berg, Helen L Leavis, Clementien Vermont, Virgil A S H Dalm, Koen van Aerde, Stefanie Henriet, Hetty Jolink, Judith Potjewijd, Arjan Lankester, Chandoshi Rhea Mukherjee, Dagmar Berghuis, Małgorzata Pac, Benjamin M J Shillitoe, Andrew R Gennery, Mirjam van der Burg

Purpose: Patients with (X-linked) agammaglobulinemia (XLA) suffer from severe, recurrent infections potentially leading to life-threatening complications such as sepsis, meningoencephalitis and chronic lung disease. Early diagnosis and timely treatment can prevent infections and secondary complications, emphasizing a role for early detection of XLA via newborn screening (NBS). Our international multicenter survey study aimed to evaluate self-reported outcomes and parental perspectives in XLA patients to determine whether an early diagnosis is associated with better quality of life (QoL).

Methods: QoL-questionnaires included the PedsQL for children and SF-36, CVID_QOL, PADQOL-16 for adults. A new questionnaire was specifically developed for parents about an early diagnosis of XLA.

Results: In total, 88 adult and 65 pediatric XLA patients, and 69 parents from 14 countries completed the survey. Patients with an early diagnosis reported less severe, recurrent infections and less hospitalization (p < 0.05). QoL was significantly lower in multiple health domains for pediatric and adult patients with a late diagnosis compared to the general population. Patients with an early diagnosis reported similar QoL outcomes compared to the general population. Parents showed immense support for NBS for XLA stating that an early diagnosis prevents emotional insecurity, health damage, unnecessary diagnostics and allows early access to medical care and informed family planning.

Conclusion: Our study has shown supportive evidence to pursue an early diagnosis of XLA from both a self-reported clinical, health related QoL and parental perspective. The main plea from patients and parents is to achieve an early diagnosis for XLA and severe B-lymphocyte deficiencies with NBS.

目的:(x连锁)无球蛋白血症(XLA)患者患有严重的复发性感染,可能导致危及生命的并发症,如败血症、脑膜脑炎和慢性肺病。早期诊断和及时治疗可以预防感染和继发性并发症,强调通过新生儿筛查(NBS)早期发现XLA的作用。我们的国际多中心调查研究旨在评估XLA患者的自我报告结果和父母观点,以确定早期诊断是否与更好的生活质量(QoL)相关。方法:儿童质量问卷为PedsQL,成人质量问卷为SF-36、CVID_QOL、PADQOL-16。一份新的问卷是专门为家长开发的关于XLA的早期诊断。结果:共有来自14个国家的88名成人和65名儿童XLA患者以及69名家长完成了调查。结论:我们的研究从自我报告的临床、健康相关生活质量和父母的角度提供了支持XLA早期诊断的证据。来自患者和家长的主要请求是实现XLA和NBS严重b淋巴细胞缺乏症的早期诊断。
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引用次数: 0
Expanding the Genetic and Clinical Spectrum of Hereditary Angioedema with Normal C1 Inhibitor: Novel Variants and Treatment Insights. 扩大遗传血管水肿与正常C1抑制剂的遗传和临床谱:新变体和治疗见解。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-08-23 DOI: 10.1007/s10875-025-01912-z
Haiqing Gao, Ying Zhao, Shengan Chen, Zhen Zhang, Fanping Yang, Zihua Chen, Lanting Wang, Jin Yang, Shan He, Chang Tang, Shenyuan Zheng, Chenggong Guan, Yu Xu, Lin Tang, Aiyuan Zhang, Marcus Maurer, Dylan Lee, Li Ma, Xiaoqun Luo

Hereditary angioedema with normal C1 inhibitor (HAE-nC1-INH) is a rare and genetically heterogeneous disorder with an incomplete molecular understanding. This study aimed to identify novel genetic variants associated with HAE-nC1-INH, characterize their clinical manifestations, and evaluate real-world treatment responses. Whole-exome sequencing of 27 HAE patients, including eight with HAE-nC1-INH, identified four previously unreported MYOF variants and additional pathogenic variants in KNG1 and HS3ST6, expanding the genetic spectrum of the disease. MYOF variants were associated with recurrent edema episodes, often with prolonged duration. The HS3ST6 variant was linked to refractory angioedema with non-resolving lower extremity involvement, highlighting atypical, persistent clinical phenotypes beyond the classical self-limiting presentation of HAE. Lanadelumab effectively reduced attack frequency in most patients; however, the variability in treatment response, particularly in MYOF and HS3ST6 carriers, highlights the need for individualized therapeutic approaches. These findings provide new insights into the genetic and clinical complexity of HAE-nC1-INH and emphasize the importance of genetic testing in refining diagnosis and optimizing treatment strategies, contributing to a more precise understanding of hereditary angioedema.

遗传性血管性水肿伴正常C1抑制剂(HAE-nC1-INH)是一种罕见的遗传异质性疾病,对其分子认识不完全。本研究旨在鉴定与HAE-nC1-INH相关的新型遗传变异,表征其临床表现,并评估现实世界的治疗反应。27例HAE患者(包括8例HAE- nc1 - inh)的全外显子组测序发现了4种以前未报道的MYOF变异和KNG1和HS3ST6的其他致病变异,扩大了该疾病的遗传谱。MYOF变异与复发性水肿发作有关,通常持续时间较长。HS3ST6变异体与难治性血管性水肿相关,伴下肢不消退,突出了非典型的、持续的临床表型,超出了HAE的经典自限性表现。Lanadelumab可有效降低大多数患者的发作频率;然而,治疗反应的可变性,特别是在MYOF和HS3ST6携带者中,强调了个性化治疗方法的必要性。这些发现为HAE-nC1-INH的遗传和临床复杂性提供了新的见解,并强调了基因检测在改进诊断和优化治疗策略方面的重要性,有助于更准确地了解遗传性血管性水肿。
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引用次数: 0
Antisynthetase Syndrome during anti-TNF-alpha Therapy: Report of Two Cases. 抗tnf -治疗中抗合成酶综合征2例报告
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-08-22 DOI: 10.1007/s10875-025-01925-8
Alexandre-Raphael Wery, Helene Bugaut, Sarah Louis-Leonard, Yves Allenbach, Olivier Benveniste
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引用次数: 0
The Immunodeficiency Profile of Lymphocytes in the Patient with Moesin Gene Mutation During Different Infection. Moesin基因突变患者在不同感染过程中淋巴细胞免疫缺陷谱的研究。
IF 5.7 2区 医学 Q1 IMMUNOLOGY Pub Date : 2025-08-11 DOI: 10.1007/s10875-025-01899-7
Qian Liu, Ai Zhang, Yuxin Bai, Xinpu Yang, Xinglou Liu, Lu Yang, Yanqin Ying, Xiaoping Luo, Feng Fang, Chaohong Liu

Purpose: The Ezrin-Radixin-Moesin (ERM) family member moesin (MSN) plays a crucial role in reversibly linking F-actin to the cell membrane. Patients carrying MSN gene mutations consistently exhibit immunodeficiencies. However, due to the scarce number of reported cases worldwide, the mechanism by which MSN mutation leads to immune function defects remains unclear. This study aims to profile the immunological features in MSN mutant patients elaborately.

Methods: In this article, we present a case study of a patient with c.511 C > T, p.Arg171Trp (p.R171W) mutation on the MSN gene. We analyzed abnormalities in peripheral immune cell subsets by quantitative analysis, morphological examination, and functional molecule assessment during various infection states. Using total internal reflection fluorescence microscopy (TIRFm), we visualized BCR clusters and F-actin dynamics in B cells, revealing valuable insights into B cell activation and the link between F-actin aggregation and BCR signaling in MSN mutant patients.

Results: The results suggest that the MSN c.511 C > T, p.Arg171Trp (p.R171W) mutation affects the proliferation, differentiation, metabolism, and adhesion functions in peripheral immune cells, as well as the maturation process in bone marrow cells. Additionally, we elucidate the impact of MSN mutation on B cell and T cell metabolism and propose a potential diagnostic indicator for patients with MSN gene mutations.

Conclusion: Our findings support the diagnosis of primary immunodeficiency and provide detailed insights into changes occurring in immune cells, especially B cells. Overall, our study adds to the diagnosis and pathogenesis of X-linked moesin-associated immunodeficiency (X-MAID).

目的:Ezrin-Radixin-Moesin (ERM)家族成员moesin (MSN)在F-actin与细胞膜的可逆连接中起关键作用。携带MSN基因突变的患者一贯表现出免疫缺陷。然而,由于全球范围内报道的病例数量较少,MSN突变导致免疫功能缺陷的机制尚不清楚。本研究旨在详细描述MSN突变患者的免疫学特征。方法:在这篇文章中,我们提出了一个病例研究的病人c.511C > T, p.Arg171Trp (p.R171W)在MSN基因上的突变我们通过定量分析、形态学检查和功能分子评估来分析不同感染状态下外周免疫细胞亚群的异常。利用全内反射荧光显微镜(TIRFm),我们可视化了B细胞中的BCR簇和f -肌动蛋白动力学,揭示了MSN突变患者中B细胞活化以及f -肌动蛋白聚集与BCR信号传导之间联系的有价值的见解。结果:msnc .511C > T, p.Arg171Trp (p.R171W)突变影响外周免疫细胞的增殖、分化、代谢和粘附功能以及骨髓细胞的成熟过程。此外,我们阐明了MSN突变对B细胞和T细胞代谢的影响,并提出了MSN基因突变患者的潜在诊断指标。结论:我们的研究结果支持原发性免疫缺陷的诊断,并提供了免疫细胞,特别是B细胞发生变化的详细见解。总的来说,我们的研究增加了X-linked moesin-associated immunodeficiency (X-MAID)的诊断和发病机制。
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引用次数: 0
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Journal of Clinical Immunology
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