TRENDS IN IMMUNOLOGY免疫学趋势

TRENDS IN IMMUNOLOGY(英文缩写 TRENDS IMMUNOL),ISSN 1471-4906,eISSN 1471-4981,中文译名:免疫学趋势 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
13.100
JCR 分区
Q1
CAS 分区
B2
近一年发文量
146
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 1471-4906 · eISSN: 1471-4981 · 缩写: TRENDS IMMUNOL ·中文: 免疫学趋势

期刊介绍

选择期刊介绍栏目

期刊简介

《Trends in Immunology》是免疫学领域具有高影响力的综述与评论期刊,聚焦免疫系统的基础机制、疾病相关免疫学及转化应用。内容涵盖先天与适应性免疫、免疫代谢、黏膜免疫、肿瘤免疫、自身免疫及感染免疫等方向。读者群主要为免疫学研究者、临床免疫学家、研究生及生物医学领域从业者,适合追踪学科前沿与概念性进展。

研究方向

主要发表免疫学各分支的综述、观点、评论及少量研究亮点,主题包括免疫细胞发育与功能、信号转导、免疫耐受、炎症、疫苗与免疫治疗等。论文类型以邀请或主动投稿的综述和前瞻性观点为主,强调对领域进展的整合与批判性讨论,而非原始实验数据。

期刊特色

研究取向偏重概念整合与前沿评述,文章通常由领域内活跃学者撰写,篇幅精炼、图表清晰,注重提出新框架或争议性议题。适合希望快速把握免疫学重要进展、寻找研究方向或教学参考的读者,也适合资深研究者就热点问题发表观点。

投稿难度

投稿难度较高,期刊对选题新颖性、观点深度和写作质量要求严格,综述需提供超越已有文献的整合视角。建议在投稿前明确核心论点,系统梳理领域脉络,并突出与近期综述的差异;观点类文章需有充分论据支撑,避免泛泛而谈。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
202119.709Q1
202216.800Q1
202313.100Q1
202413.900Q1
202513.100Q1

TRENDS IN IMMUNOLOGY 最新收录文献

  1. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    1. {"_":"Coupling and uncoupling cell cycle and metabolism in CD8 T cells.","sup":["+"]}

    作者:
    Floortje J van Haften, Hanna S Hepp, Melissa Biemond, Ramon Arens
    日期:
    2026-09-29

    CD8 T cells eliminate infected and malignant cells through coordinated proliferation and effector differentiation, processes supported by metabolic reprogramming that together form an interconnected, cross-regulated network. Emerging evidence indicates, however, that cell cycle progression and effector programming can be transiently uncoupled, with implications for T cell function and fate. Short-term modulation of cell cycle dynamics creates a window for metabolic rewiring, reshaping nutrient utilization, cytokine responsiveness, and bioenergetic capacity. This uncoupling can enhance T cell expansion, effector function, and antitumor activity. Collectively, these findings indicate that the cell cycle functions as an instructive checkpoint integrating metabolic and differentiation programs, not merely supporting proliferation. Understanding this interplay provides a conceptual framework to optimize T cell-based immunotherapies and rationally design chemoimmunotherapy combinations.

  2. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    2. Beyond immunity: hematopoietic involvement in nonhematological inborn errors of immunity.

    2. 超越免疫:非血液系统先天性免疫缺陷中的造血系统受累
    作者:
    Carolina Petrillo, Anna Kajaste-Rudnitski
    日期:
    2026-09-23

    Inborn errors of immunity (IEIs) are a group of disorders caused by defects in the immune system. Emerging evidence indicates that dysregulated interferon (IFN) signaling can perturb hematopoietic stem cells in nonhematological IEIs. This forum examines the role of IFNs in regulating hematopoiesis to inform prognosis and therapeutic strategies in IEI.

  3. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    3. Erythropoietin impacts immune adaptation through myeloid-cell programming.

    3. 促红细胞生成素通过髓系细胞编程影响免疫适应
    作者:
    Xiangyue Zhang, Edgar G Engleman
    日期:
    2026-09-16

    The immune system balances protective immunity against pathogens with tolerance to self and selected foreign antigens. Emerging evidence identifies erythropoietin (EPO) as a systemic immunoregulatory signal that links physiological stress to immune adaptation. Beyond its canonical role in erythropoiesis, EPO-EPO receptor (EPOR) signaling reprograms specialized myeloid cells, including macrophages and type 1 conventional dendritic cells (cDC1s), promoting efferocytosis, inflammatory restraint, and maturation-associated cDC1 fate. Through these mechanisms, EPO shapes antigen-specific T-cell responses across transplantation and cancer. We propose that the EPO-EPOR axis functions as a systemic regulator of immune adaptation through myeloid-cellprogramming.

  4. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    4. Dendritic cells as programmable platforms for cancer immunotherapy.

    4. 树突状细胞作为癌症免疫治疗的可编程平台
    作者:
    Yuchen Liu, Elodie Marcandalli, Yang Liu, Felix Bayerl, Mikael J Pittet, Michele De Palma
    日期:
    2026-09-16

    Dendritic cells (DCs) are professional orchestrators of the immune system, integrating environmental signals to initiate, modulate, and sustain antitumor immunity. Although their therapeutic potential extends beyond antigen delivery, most clinical strategies have used DCs primarily as cellular vaccines. Here, we propose that DCs should be viewed as programmable therapeutic cells whose functions can be rationally controlled, either in situ or ex vivo, through four variables: DC identity, antigenic input, anatomical site of action, and immune-instructive output. Together, these variables determine how DCs establish tissue-level immune circuits for tumor control. We further discuss how tumor-associated barriers determine DC programming requirements and how matching DC programs to these microenvironmental or systemic barriers may improve tumor control in patients with cancer.

  5. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    5. Spatially instructed checkpoints in antitumor NK cell immunity.

    5. 抗肿瘤NK细胞免疫中的空间指令性检查点
    作者:
    Ruifeng Wang, Peng Sun, Cheng Sun
    日期:
    2026-09-14

    Natural killer (NK) cell immunotherapies remain less effective in solid tumors than in hematologic malignancies. Poor infiltration, checkpoint engagement, and metabolic stress contribute, but these mechanisms often operate within spatially organized niches. We develop the concept of spatially instructed checkpoints: inhibitory programs locally induced or maintained whose functional impact depends on position. We organize evidence across tissue-level exclusion, suppressive cellular neighborhoods, and the cytotoxic synapse, distinguishing causal findings from associations and hypotheses. Spatial organization is an integrating layer that interacts with, rather than replaces, intrinsic, soluble, metabolic, transcriptional, and epigenetic mechanisms. We propose a translational framework for converting spatial discoveries into deployable assays that identify the dominant barrier and guide mechanism-matched strategies to restore antitumor NK cell activity.

  6. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    6. Eating to heal: dietary interventions as emerging immune-based therapeutic strategies.

    作者:
    Wenyu Cui, Zhangying Wang, Xiangyuan Li, Sheng Chen, Di Wang
    日期:
    2026-09-09

    Clinical immunology is increasingly recognizing diet not merely as baseline metabolic sustenance but as a tunable pharmacological tool. By targeting conserved nutrient-sensing networks and the microbiome, defined nutritional protocols-such as fasting mimetics and specific macronutrient titrations-can actively rewire immune responses. In this review, we examine how manipulating macronutrient stoichiometry, systemic energy availability, and chrononutrition can be strategically deployed to enhance antitumor immune efficacy, promote tissue regeneration, and drive the resolution of chronic inflammation. Finally, we dissect the translational bottlenecks that must be overcome to elevate dietary strategies from broad lifestyle guidelines to prescribable precision immunotherapies.

  7. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    7. Parental leave in immunology - 12.

    7. 免疫学中的育儿假 - 12
    作者:
    Hui Peng
    日期:
    2026-09-07

    该文献暂无摘要。

  8. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    8. Understanding HLA risk in immune-mediated inflammatory diseases requires antigen discovery.

    8. 理解免疫介导炎症性疾病中的HLA风险需要抗原发现
    作者:
    Hesham ElAbd, Aya K H Mahdy, Andre Franke
    日期:
    2026-09-07

    Certain human leukocyte antigen (HLA) alleles occur more often in people with immune-mediated inflammatory diseases (IMIDs) than in unaffected individuals, making HLA one of the strongest inherited contributors to IMID risk. Yet how these alleles promote disease remains unclear. We argue that HLA risk has often been studied through allele-level properties or immunopeptidomic profiles without knowing which antigenic exposures matter. These approaches characterize peptide binding and presentation but rarely identify disease-relevant exposures. We propose that large-scale T cell receptor repertoire analysis provides a complementary route by identifying disease-associated clonotypes as antigenic footprints. When interpreted in their HLA context, these antigenic footprints can focus immunopeptidomic and functional studies on candidate antigens, turning HLA associations from statistical signals into testable mechanisms of disease.

  9. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    9. Parental leave in immunology - 14.

    9. 免疫学中的育儿假 - 14
    作者:
    Binqing Fu
    日期:
    2026-09-07

    该文献暂无摘要。

  10. JCR分区: Q1 CAS分区: B2 影响因子: 13.1

    10. Parental leave in immunology - 13.

    10. 免疫学中的育儿假 - 13
    作者:
    Niklas Björkström
    日期:
    2026-09-07

    该文献暂无摘要。

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指标接近的期刊