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Lung Ultrasound for the Detection of Radiologic Progression of Interstitial Lung Abnormalities in Patients With Rheumatoid Arthritis 肺超声对类风湿关节炎患者肺间质性异常影像学进展的检测
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 Epub Date: 2026-05-03 DOI: 10.1002/art.70161
Marie Vermant MD, PhD, Valerie Van Ballaer MD, Joseph Jacob MD, PhD, Tine Follet MD, Ryoko Egashira MD, PhD, Kenny Anseele MD, Heleen Cypers MD, Laurens J. De Sadeleer MD, PhD, Nico De Crem MD, Tinne Goos MD, PhD, Barbara Neerinckx MD, PhD, Veerle Taelman MD, Nathalie Veyt MD, Alexandros Kalkanis MD, PhD, Patrick Verschueren MD, PhD, Wim A. Wuyts MD, PhD

Objective

Interstitial lung disease (ILD) is an important extra-articular manifestation of rheumatoid arthritis (RA) associated with high mortality and morbidity. Lung ultrasonography (LUS) has recently emerged as a possible screening tool. We assessed the role of LUS in monitoring radiologic progression and the development of new interstitial lung abnormalities (ILAs).

Methods

In this prospective pilot study, patients with RA underwent high-resolution computed tomography (HRCT), pulmonary function tests (PFTs), symptom assessment, and LUS at baseline and 12 to 18 months later. B-lines were quantified using a 72-zone protocol. Radiologic changes across longitudinal HRCTs were scored on a five-point Likert scale by blinded thoracic radiologists. Six multivariable logistic regression models were built to predict HRCT progression using combinations of LUS parameters, PFTs, symptoms, and clinical characteristics.

Results

Eighty-one patients completed the follow-up HRCT, and per-protocol LUS was performed in 95% (77/81). Radiologic progression was observed in 31% (25/81). An increase in B-lines was significantly associated with radiologic progression (P = 0.018), and a linear trend was confirmed (P = 0.026). In multivariable analysis, both baseline B-lines (P = 0.029) and the change in B-lines over time (P = 0.012) significantly predicted progression (area under the curve [AUC] 0.78, 95% confidence interval [CI] 0.64–0.92). When combining LUS and change in diffusing capacity for carbon monoxide (AUC 0.82, 95% CI 0.70–0.94), the model fit remained similar and outperformed symptom scores (AUC 0.58, 95% CI 0.40–0.75, P = 0.020) and PFTs (AUC 0.59, 95% CI 0.44–0.74, P = 0.022).

Conclusion

LUS may be a useful, radiation-free tool to monitor and predict radiologic progression of ILAs in RA. These findings support further research into integrating LUS into longitudinal RA-ILD assessment, particularly as part of a multimodal approach.

目的间质性肺疾病是类风湿关节炎(RA)的重要关节外表现,具有高死亡率和发病率。肺超声(LUS)最近成为一种可能的筛查工具。我们评估了肺超声在监测放射学进展和新间质性肺异常(ILA)发展中的作用。方法在这项前瞻性研究中,RA患者在基线和12-18个月后接受了高分辨率CT (HRCT)、肺功能测试(PFTs)、症状评估和LUS。采用72区方案对B系进行定量。纵向hrct的放射学变化由盲法胸椎放射科医师按5分Likert量表评分。利用LUS参数、PFTs、症状和临床特征的组合,建立了6个多变量logistic回归模型来预测HRCT进展。结果81例患者完成了HRCT随访,95%(77/81)的患者进行了按方案LUS。31%(25/81)的患者出现放射学进展。B线的增加与放射学进展显著相关(p=0.018),并证实了线性趋势(p=0.026)。在多变量分析中,基线B线(p=0.029)和B线随时间的变化(p=0.012)均可显著预测进展(AUC=0.78, 95% CI: 0.64-0.92)。当结合LUS和DLCO变化(AUC=0.82, 95% CI: 0.70-0.94)时,模型拟合保持相似,优于症状评分(AUC=0.58, 95% CI 0.40-0.75, p=0.020)和PFTs (AUC=0.59, 0.44-0.74, p=0.022)。结论LUS可能是一种有效的、无辐射的监测和预测RA中ILA放射学进展的工具。这些发现支持将LUS纳入RA - ILD纵向评估的进一步研究,特别是作为多模式方法的一部分。图像
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引用次数: 0
Linking T Cell States to T Cell Receptors in Systemic Lupus Erythematosus SLE中T细胞状态与tcr的联系。
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 Epub Date: 2026-06-20 DOI: 10.1002/art.70254
Zandra E. Walton MD, PhD, Deepak A. Rao MD, PhD
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引用次数: 0
Expert Perspectives: Defining and Managing Progressive Pulmonary Fibrosis in Systemic Sclerosis 专家观点:系统性硬化症进行性肺纤维化的定义和管理。
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 Epub Date: 2026-06-20 DOI: 10.1002/art.70237
Devis Benfaremo MD, PhD, Dinesh Khanna MD, MSc, Corrado Campochiaro MD, Vincent Cottin MD, Fabrizio Luppi MD, PhD, Marco Matucci-Cerinic MD, PhD, Gianluca Moroncini MD, PhD, Yannick Allanore MD, PhD

Systemic sclerosis–associated interstitial lung disease (SSc-ILD) is one of the leading causes of morbidity and mortality in SSc, affecting up to three-quarters of patients. The disease course is highly heterogeneous, ranging from indolent, nonprogressive forms to rapidly progressive pulmonary fibrosis (PPF). Identifying patients at risk for progression remains a key clinical challenge. Routine screening with high-resolution computed tomography at diagnosis and regular pulmonary function test monitoring are essential for early detection and timely management. Recent efforts have sought to harmonize the definition of PPF across fibrosing ILDs, recognizing shared clinical and pathophysiological mechanisms beyond idiopathic pulmonary fibrosis. Approximately 20% to 30% of patients with SSc-ILD develop PPF, yet reliable predictors of progression remain elusive. Advances in imaging, functional assessment, and molecular biomarkers hold promise for improving risk stratification. Therapeutic approaches have evolved from conventional immunosuppression toward combination and antifibrotic strategies. Mycophenolate mofetil remains the preferred first-line therapy, whereas nintedanib is the only antifibrotic agent approved for both SSc-ILD and PPF, having demonstrated efficacy in slowing lung function decline. Combination therapy, particularly mycophenolate mofetil with nintedanib or biologics such as rituximab and tocilizumab, is gaining traction in clinical practice despite limited comparative data. Emerging antifibrotic and anti-inflammatory agents offer new therapeutic prospects. This review summarizes current understanding of PPF in SSc-ILD, focusing on its evolving definition, prognostic determinants, and treatment landscape, and highlights unmet needs for personalized, evidence-based management.

系统性硬化症相关间质性肺病(SSc- ild)是SSc发病和死亡的主要原因之一,影响多达四分之三的患者。病程是高度异质性的,从惰性、非进行性形式到快速进行性肺纤维化(PPF)。识别有进展风险的患者仍然是一个关键的临床挑战。诊断时的常规高分辨率计算机断层扫描和定期肺功能检查监测对于早期发现和及时处理至关重要。最近的努力试图协调纤维化ild中PPF的定义,认识到特发性肺纤维化之外的共同临床和病理生理机制。大约20%至30%的SSc-ILD患者会发生PPF,但可靠的进展预测仍然难以捉摸。影像学、功能评估和分子生物标志物的进步有望改善风险分层。治疗方法已经从传统的免疫抑制发展到联合和抗纤维化策略。霉酚酸酯仍然是首选的一线治疗药物,而尼达尼布是唯一被批准用于SSc-ILD和PPF的抗纤维化药物,已证明其在减缓肺功能下降方面有效。联合治疗,特别是霉酚酸酯与尼达尼布或生物制剂如利妥昔单抗和托珠单抗,在临床实践中越来越受到关注,尽管比较数据有限。新兴的抗纤维化和抗炎药物为治疗提供了新的前景。本综述总结了目前对SSc-ILD中PPF的理解,重点关注其不断发展的定义、预后决定因素和治疗前景,并强调了个性化、循证管理的未满足需求。
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引用次数: 0
Low-Grade Proteinuria Does Not Predict Favorable Outcomes in Lupus Nephritis: A Longitudinal Cohort Study 低级别蛋白尿不能预测狼疮性肾炎的预后:一项纵向队列研究
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 Epub Date: 2026-02-25 DOI: 10.1002/art.70009
Yiwei Shen MS, Jingyi Peng BS, Dai Dai PhD, Min Dai MD, PhD, Ting Li MD, PhD, Sheng Chen MD, PhD, Shuang Ye MD, PhD, Nan Shen MD, PhD, Huihua Ding MD

Objective

To investigate the clinical characteristics, renal pathology treatment responses, and renal outcomes of patients with lupus nephritis (LN) with different levels of baseline proteinuria.

Methods

A total of 239 patients with biopsy-proven LN were stratified by baseline 24-h urine protein (UPro) levels (<1 g/24 h vs ≥1 g/24 h) and disease onset status (incident vs relapsing). Renal treatment responses were measured by overall renal response, complete response, and primary efficacy renal response at weeks 26 and 52. Cox proportional hazards regression and Kaplan-Meier analyses were used to assess predictors of time to first 30% and 40% estimated glomerular filtration rate (eGFR) decline by 156 weeks.

Results

Among the 239 patients with LN, 42 (17.6%) had UPro <1 g/24 h, and 197 (82.4%) had UPro ≥1 g/24 h; 122 (51.0%) had incident LN and 117 (49.0%) had relapsing LN. The UPro <1 group had a lower incidence of urinary sediments, a higher frequency of class V, and a lower renal pathology activity index but similar chronicity index compared with the UPro ≥1 group. Both groups exhibited similar overall renal response rates at weeks 26 and 52. Patients with low-grade proteinuria had equivalent risk probabilities for experiencing a 30% or 40% decline in eGFR over 156 weeks compared with those with high-grade proteinuria. Glomerulosclerosis independently predicted long-term renal deterioration in relapsing but not incident LN.

Conclusion

Low-grade proteinuria (UPro <1g/24h) does not confer better renal outcomes or treatment response in LN. Glomerulosclerosis predicts renal function decline in relapsing LN. These results underscore the importance of early biopsy, personalized therapy, and close monitoring, supported by noninvasive biomarkers for risk assessment.

目的探讨不同基线蛋白尿水平狼疮性肾炎(LN)患者的临床特点、肾脏病理治疗反应及肾脏预后。方法根据基线蛋白尿(UPro)水平(1g/24h vs.≥1g/24h)和疾病发病状态(发作vs.复发)对239例活检证实的LN患者进行分层。肾脏治疗反应通过26周和52周的总缓解(OR)、完全缓解和主要疗效肾脏反应来衡量。使用Cox比例风险回归和Kaplan‐Meier分析来评估eGFR在156周内下降30%和40%的时间预测因子。结果239例LN患者中,UPro≥1g/24h 42例(17.6%),UPro≥1g/24h 197例(82.4%);122例(51.0%)发生LN, 117例(49.0%)复发。与UPro≥1组相比,UPro <;1组尿沉积物发生率较低,V类发生率较高,肾脏病理活动指数较低,但慢性指数相似。两组在第26周和第52周的OR率相似。与高级别蛋白尿患者相比,低级别蛋白尿患者在156周内eGFR下降30%或40%的风险概率相当。肾小球硬化独立预测复发的长期肾脏恶化,但不能预测LN的发生。结论:低级别蛋白尿(1g/24h)不会给LN患者带来更好的肾脏预后或治疗反应。肾小球硬化预测复发性LN患者肾功能下降。这些结果强调了早期活检、个性化治疗和密切监测的重要性,并支持非侵入性生物标志物进行风险评估。
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引用次数: 0
18F-Fluorodeoxyglucose Positron Emission Tomography Imaging Assessment Within a Randomized Controlled Trial in Giant Cell Arteritis 巨细胞动脉炎随机对照试验中的18f -氟脱氧葡萄糖正电子发射断层成像评估
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 Epub Date: 2026-05-05 DOI: 10.1002/art.70166
Kaitlin A. Quinn MD, MHS, Sovira Tan PhD, Pauline Verdijk PhD, Linda Okonkwo MD, MBA, Maxime Samson MD, PhD, Daniel Blockmans MD, PhD, Jean-Paul Makhzoum MD, MSc, Maria C. Cid MD, Joerg Henes MD, PhD, Verena Schönau MD, Mark A. Ahlman MD, Peter C. Grayson MD, MSc

Objective

To compare fluorodeoxyglucose (FDG)–positron emission tomography (PET) imaging to clinical- and laboratory-based assessments of disease activity in a randomized controlled trial (RCT) in giant cell arteritis (GCA).

Methods

Patients with new-onset or relapsing GCA were randomized to guselkumab or placebo plus tapered glucocorticoids in an international, multicenter RCT. FDG-PET was performed at the baseline visit before randomization and repeated at disease flare or the week-52 visit (clinical remission off glucocorticoids). FDG-PET scans were interpreted as active or inactive by two readers, and the PET Vascular Activity Score was calculated to quantify arterial FDG uptake. FDG-PET findings were compared to clinical assessment, acute phase reactants, and glucocorticoid use at each visit.

Results

Baseline FDG-PET scans were interpreted as active vasculitis in 28 (55%) of 51 patients. FDG-PET activity at enrollment was not associated with clinical symptoms, acute phase reactants, or risk of flare. Younger age (70 vs 76 years; P = 0.03) and female sex (89% vs 48%, P < 0.01) were significantly associated with increased FDG-PET activity. There were no differences in prior glucocorticoid dose (median 780 mg) or duration (median 23 days) between patients with baseline active versus inactive FDG-PET scans. FDG-PET scans were active in 17 of 21 (81%) patients during clinical flare and in 14 of 20 (70%) patients at week 52. Subsets of patients had persistently active (n = 21) or inactive (n = 9) PET scans at all time points, independent of clinical assessment.

Conclusion

Vascular FDG-PET activity may be discordant with clinical assessment, particularly in subsets of patients with GCA. Imaging-based outcome measures should remain exploratory in future therapeutic trials.

目的:在一项巨细胞动脉炎(GCA)的随机对照试验(RCT)中,比较FDG-PET成像与临床和实验室基于疾病活动性的评估。方法在一项国际多中心随机对照试验中,新发或复发的GCA患者被随机分配到guselkumab或安慰剂加锥形糖皮质激素组。FDG-PET在随机化前的基线随访时进行,并在疾病发作或第52周随访时重复(临床停用糖皮质激素)。FDG-PET扫描被两个读取器解读为活跃或不活跃,PET血管活动评分(PETVAS)被计算以量化动脉FDG摄取。每次就诊时将FDG-PET结果与临床评估、急性期反应物和糖皮质激素使用情况进行比较。结果51例患者中28例(55%)的FDG-PET基线扫描被解释为活动性血管炎。入组时FDG-PET活性与临床症状、急性期反应物或发作风险无关。年龄较小(70岁vs 76岁,p=0.03)和女性(89% vs 48%, p<0.01)与FDG-PET活性升高显著相关。在基线进行FDG-PET扫描与不进行FDG-PET扫描的患者之间,先前的糖皮质激素剂量(中位780mg)或持续时间(中位23天)没有差异。在第52周,FDG-PET扫描在临床发作期间的17/21(81%)和14/20(70%)是活跃的。患者亚群在所有时间点持续活跃(n=21)或不活跃(n=9) PET扫描,独立于临床评估。结论血管FDG-PET活性可能与临床评估不一致,特别是在GCA患者亚群中。在未来的治疗试验中,基于成像的结果测量仍应是探索性的。
{"title":"18F-Fluorodeoxyglucose Positron Emission Tomography Imaging Assessment Within a Randomized Controlled Trial in Giant Cell Arteritis","authors":"Kaitlin A. Quinn MD, MHS,&nbsp;Sovira Tan PhD,&nbsp;Pauline Verdijk PhD,&nbsp;Linda Okonkwo MD, MBA,&nbsp;Maxime Samson MD, PhD,&nbsp;Daniel Blockmans MD, PhD,&nbsp;Jean-Paul Makhzoum MD, MSc,&nbsp;Maria C. Cid MD,&nbsp;Joerg Henes MD, PhD,&nbsp;Verena Schönau MD,&nbsp;Mark A. Ahlman MD,&nbsp;Peter C. Grayson MD, MSc","doi":"10.1002/art.70166","DOIUrl":"10.1002/art.70166","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To compare fluorodeoxyglucose (FDG)–positron emission tomography (PET) imaging to clinical- and laboratory-based assessments of disease activity in a randomized controlled trial (RCT) in giant cell arteritis (GCA).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Patients with new-onset or relapsing GCA were randomized to guselkumab or placebo plus tapered glucocorticoids in an international, multicenter RCT. FDG-PET was performed at the baseline visit before randomization and repeated at disease flare or the week-52 visit (clinical remission off glucocorticoids). FDG-PET scans were interpreted as active or inactive by two readers, and the PET Vascular Activity Score was calculated to quantify arterial FDG uptake. FDG-PET findings were compared to clinical assessment, acute phase reactants, and glucocorticoid use at each visit.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Baseline FDG-PET scans were interpreted as active vasculitis in 28 (55%) of 51 patients. FDG-PET activity at enrollment was not associated with clinical symptoms, acute phase reactants, or risk of flare. Younger age (70 vs 76 years; <i>P</i> = 0.03) and female sex (89% vs 48%, <i>P</i> &lt; 0.01) were significantly associated with increased FDG-PET activity. There were no differences in prior glucocorticoid dose (median 780 mg) or duration (median 23 days) between patients with baseline active versus inactive FDG-PET scans. FDG-PET scans were active in 17 of 21 (81%) patients during clinical flare and in 14 of 20 (70%) patients at week 52. Subsets of patients had persistently active (n = 21) or inactive (n = 9) PET scans at all time points, independent of clinical assessment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Vascular FDG-PET activity may be discordant with clinical assessment, particularly in subsets of patients with GCA. Imaging-based outcome measures should remain exploratory in future therapeutic trials.</p>\u0000 </section>\u0000 </div>","PeriodicalId":129,"journal":{"name":"Arthritis & Rheumatology","volume":"78 11","pages":"2317-2327"},"PeriodicalIF":9.9,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147619405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Journal Club 杂志俱乐部
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 DOI: 10.1002/art.70368
{"title":"Journal Club","authors":"","doi":"10.1002/art.70368","DOIUrl":"10.1002/art.70368","url":null,"abstract":"","PeriodicalId":129,"journal":{"name":"Arthritis & Rheumatology","volume":"78 11","pages":""},"PeriodicalIF":9.9,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/art.70368","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149251152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification 利用机器学习和遗传风险分层从血清蛋白质组学特征中识别系统性红斑狼疮
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-27 Epub Date: 2026-05-04 DOI: 10.1002/art.70156
Mehmet Hocaoǧlu MD, Jishnu Das PhD, Amr H. Sawalha MD

Objective

Proteome-wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles.

Methods

Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included. Differential proteomic expressions were characterized and followed by hierarchical clustering analysis. Proteomic linear and machine learning models were developed for established disease classification and future lupus prediction and compared to polygenic risk scores. Two additional independent lupus cohorts from Sweden, as part of the Human Protein Atlas (HPA), and from China were used for replication.

Results

In the UK Biobank, 44,173 participants with proteomic data, including 2,063 individuals with at least one autoimmune disease at enrollment, were studied. This included 383 patients with lupus with a mean age of 43.6 ± SD 11.7 years at disease onset. Lupus showed the largest number of dysregulated proteins among autoimmune diseases and clustered with rheumatoid arthritis. Comparison with HPA showed that ~70% of lupus proteomic associations could be replicated with moderate correlation in effect sizes. The machine learning model outperformed the linear model in identifying pre-existing lupus and generalized well to future lupus prediction. Among patients with lupus on immunomodulatory medications, the model reached ~90% sensitivity at 95% specificity, which was replicated in an independent cohort. Model interpretation highlighted SCARB2, SOD2, CD302, Galectin-9, and GGT5 proteins with substantial effects on lupus identification.

Conclusion

Proteomic machine learning models show excellent performance for identifying pre-existing lupus and generalize well for predicting lupus before clinical diagnosis. Model interpretation identified novel candidate biomarkers for lupus.

狼疮的全蛋白质组风险模型仍未得到充分研究。我们开发了分类模型,从血清蛋白质组学特征中识别狼疮。
{"title":"Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification","authors":"Mehmet Hocaoǧlu MD,&nbsp;Jishnu Das PhD,&nbsp;Amr H. Sawalha MD","doi":"10.1002/art.70156","DOIUrl":"10.1002/art.70156","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Proteome-wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included. Differential proteomic expressions were characterized and followed by hierarchical clustering analysis. Proteomic linear and machine learning models were developed for established disease classification and future lupus prediction and compared to polygenic risk scores. Two additional independent lupus cohorts from Sweden, as part of the Human Protein Atlas (HPA), and from China were used for replication.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In the UK Biobank, 44,173 participants with proteomic data, including 2,063 individuals with at least one autoimmune disease at enrollment, were studied. This included 383 patients with lupus with a mean age of 43.6 ± SD 11.7 years at disease onset. Lupus showed the largest number of dysregulated proteins among autoimmune diseases and clustered with rheumatoid arthritis. Comparison with HPA showed that ~70% of lupus proteomic associations could be replicated with moderate correlation in effect sizes. The machine learning model outperformed the linear model in identifying pre-existing lupus and generalized well to future lupus prediction. Among patients with lupus on immunomodulatory medications, the model reached ~90% sensitivity at 95% specificity, which was replicated in an independent cohort. Model interpretation highlighted SCARB2, SOD2, CD302, Galectin-9, and GGT5 proteins with substantial effects on lupus identification.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Proteomic machine learning models show excellent performance for identifying pre-existing lupus and generalize well for predicting lupus before clinical diagnosis. Model interpretation identified novel candidate biomarkers for lupus.</p>\u0000 \u0000 <div>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":129,"journal":{"name":"Arthritis & Rheumatology","volume":"78 11","pages":"2280-2291"},"PeriodicalIF":9.9,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/art.70156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147507620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Single-cell analysis reveals CXCL16+ dendritic cells and clonally expanded GZMK+ CD4 T cells driving joint inflammation in psoriatic arthritis. 单细胞分析显示CXCL16+树突状细胞和克隆扩增的GZMK+ CD4 T细胞驱动银屑病关节炎的关节炎症。
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-20 DOI: 10.1002/art.70371
Briana J Mullins, Jasmine Shwetar, Alberto Herrera, Anthony Youzhi Cheng, Katharine Lu Yang, Anthony Jiménez Hernández, Katie Tumang, Eleni P Mimitou, Ali Sahimi, Luz Alvarado, Rhina Medina, Rebecca H Haberman, Parvathy V Girija, Thomas Boehringer, Ellie Ivanova, Timothy C Borbet, Stephanie Eichman, Ian Cunningham, Kirsty Hillier, Sofia Bajwa, Celiane Cardoso Carvalho, Susan R Schwab, Mukundan G Attur, Kelly Ruggles, José U Scher, Sergei B Koralov

Objective: Psoriatic arthritis (PsA) is a chronic immune-mediated arthritis affecting approximately 30% of individuals with psoriasis. The mechanisms driving PsA joint inflammation remain incompletely defined.

Methods: To address this gap, we performed multimodal single-cell sequencing of immune cells from matched peripheral blood and synovial fluid (SF) from 6 PsA patients, with comparisons to a rheumatoid arthritis (RA) patient and 6 healthy controls (HC).

Results: SF CD4 and CD8 T cells displayed elevated expression of TOX, PDCD1, CTLA4, GZMK, CXCR3, and CXCR6, reflecting a tissue-specific activation state. CD4 T cell sub-clustering revealed clonally expanded populations enriched for GZMK and cytotoxic gene programs, suggesting antigen-driven activation. In contrast, CD8 T cell clonality showed a significant correlation with GZMK expression, however GZMK+ CD8 T cells in the joint exhibited a transcriptional signature consistent with functional exhaustion. Concurrently, SF was enriched for CD141+, CD1c+, CCR7+, and SIGLEC6+ dendritic cells (DCs), characterized by increased CXCL16 expression and antigen presentation pathways. Flow cytometry and ELISA in an additional 25 PsA patients and 16 HCs confirmed protein-level enrichment of key chemokines and GZMK+ T cells. Cell-cell communication analysis highlighted CXCR6-CXCL16 and CXCR3-CXCL10 chemokine axes as mediators of immune cell recruitment and retention, while in vitro assays showed enhanced migration of PsA SF T cells toward a CXCL16 gradient relative to paired blood.

Conclusion: Together, these findings suggest that clonally expanded GZMK+ CD4 T cells in PsA are cytotoxic and antigen-responsive, contributing to joint inflammation following recruitment by CXCL16-producing dendritic cells.

目的:银屑病关节炎(PsA)是一种慢性免疫介导的关节炎,约30%的银屑病患者受其影响。驱动PsA关节炎症的机制仍然不完全明确。方法:为了解决这一差距,我们对6名PsA患者的匹配外周血和滑液(SF)的免疫细胞进行了多模态单细胞测序,并与1名类风湿性关节炎(RA)患者和6名健康对照(HC)进行了比较。结果:SF CD4和CD8 T细胞TOX、PDCD1、CTLA4、GZMK、CXCR3和CXCR6表达升高,反映了组织特异性激活状态。CD4 T细胞亚聚类显示GZMK和细胞毒性基因程序富集的克隆扩增群体,提示抗原驱动激活。相比之下,CD8 T细胞的克隆性与GZMK表达显著相关,然而关节中的GZMK+ CD8 T细胞表现出与功能衰竭一致的转录特征。同时,SF富集CD141+、CD1c+、CCR7+和SIGLEC6+树突状细胞(dc),其特征是CXCL16表达和抗原递呈途径增加。在另外25例PsA患者和16例hcc中,流式细胞术和ELISA证实了关键趋化因子和GZMK+ T细胞的蛋白水平富集。细胞间通讯分析强调CXCR6-CXCL16和CXCR3-CXCL10趋化因子轴是免疫细胞募集和保留的介质,而体外实验显示,相对于配对血液,PsA SF T细胞向CXCL16梯度迁移增强。结论:这些研究结果表明,PsA中克隆扩增的GZMK+ CD4 T细胞具有细胞毒性和抗原反应性,有助于产生cxcl16的树突状细胞募集后的关节炎症。
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引用次数: 0
Can Ultrasound Guide Treatment Decisions in Difficult-to-Treat Rheumatoid Arthritis? 超声能指导难治性类风湿关节炎的治疗决策吗?
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-20 DOI: 10.1002/art.70381
Danila Madonna, Richard J Wakefield, Emilio Filippucci, Kulveer Mankia, Shouvik Dass, Dennis McGonagle, Paul Emery, Andrea Di Matteo
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引用次数: 0
Sema4A neutralization reduces fibrosis and inflammation in a mouse model of systemic sclerosis and a 3D model of immunity-driven fibrosis. 在系统性硬化症小鼠模型和免疫驱动纤维化3D模型中,Sema4A中和可减少纤维化和炎症。
IF 9.9 1区 医学 Q1 RHEUMATOLOGY Pub Date : 2026-10-20 DOI: 10.1002/art.70374
Jaime Marty, Sara Martinez-Ramos, Carlos Rafael-Vidal, Beatriz Malvar-Fernández, Tiago Carvalheiro, Ralph G Tieland, Ines Ramos, Wiola Marut, Ana Pinheiro-Lopes, Ana Argibay, Brenda Maure, Caritina Vázquez-Triñanes, Nair Pérez Gómez, David Fernández-Fernández, Sandra Vila, Coral Mouriño, Rogier M Thurlings, Arjan van Caam, Alberto Rivera, José María Pego-Reigosa, Timothy R Radstake, Samuel Garcia

OBJECTIVE: We previously showed that Semaphorin4A (Sema4A) is elevated in patients with systemic sclerosis (SSc) and promotes inflammation and fibrosis in vitro. Here, we examined the effect of Sema4A neutralization in vivo and in 3D fibrosis models.

Methods: Sema4A plasma levels were measured by ELISA in healthy controls (n=31) and patients with SSc (n=30). In the bleomycin SSc-model, mice were treated with an anti-Sema4A neutralizing antibody or its respective isotype control (n=6-7). The 3D fibrosis models, consisting of collagen hydrogel, dermal fibroblasts, and peripheral blood mononuclear cells, were stimulated with recombinant Sema4A, rapamycin, or antibodies neutralizing Sema4A, PlexinD1, PlexinB2, Neuropilin-1 or their respective isotype controls (n=6-10). Collagen content was determined by trichrome staining and hydroxyproline assay. Gene expression was determined by RT-qPCR and obtained from GEO-NCBI expression arrays, while protein expression by immunohistochemistry, immunoblotting and flow cytometry.

Results: Circulating Sema4A was elevated in patients with SSc (p<0.0001), while Sema4A receptors were elevated in SSc skin and lung (p ranged from <0.05 to 0.0001). Anti-Sema4A administration significantly reduced skin and lung collagen content in bleomycin-treated mice (p<0.01), as well as the expression of extracellular matrix components, fibrotic and inflammatory mediators, and immune cell infiltration. In the 3D models, SSc serum and SSc PBMCs induced cell contraction, which was drastically abrogated by blocking Sema4A (p<0.01). This effect was associated with reduced expression of fibrotic mediators and attenuated mTORC1 pathway activation.

Conclusions: We confirmed the pro-fibrotic and pro-inflammatory role of Sema4A, postulating Sema4A neutralization as a novel approach for the treatment of SSc.

OBJECTIVE:我们之前的研究表明,Semaphorin4A (Sema4A)在系统性硬化症(SSc)患者中升高,并在体外促进炎症和纤维化。在这里,我们检测了Sema4A中和在体内和3D纤维化模型中的作用。方法:采用ELISA法检测健康对照(n=31)和SSc患者(n=30)血浆中Sema4A水平。在博莱霉素ssc模型中,小鼠接受抗sema4a中和抗体或其各自的同型对照(n=6-7)。用重组Sema4A、雷帕霉素或中和Sema4A、PlexinD1、PlexinB2、Neuropilin-1或各自同型对照的抗体刺激由胶原水凝胶、真皮成纤维细胞和外周血单个核细胞组成的3D纤维化模型(n=6-10)。采用三色染色法和羟脯氨酸法测定胶原蛋白含量。通过RT-qPCR和GEO-NCBI表达阵列检测基因表达,免疫组织化学、免疫印迹和流式细胞术检测蛋白表达。结果:循环Sema4A在SSc患者中升高(结论:我们证实了Sema4A的促纤维化和促炎症作用,假设Sema4A中和是治疗SSc的新方法。
{"title":"Sema4A neutralization reduces fibrosis and inflammation in a mouse model of systemic sclerosis and a 3D model of immunity-driven fibrosis.","authors":"Jaime Marty, Sara Martinez-Ramos, Carlos Rafael-Vidal, Beatriz Malvar-Fernández, Tiago Carvalheiro, Ralph G Tieland, Ines Ramos, Wiola Marut, Ana Pinheiro-Lopes, Ana Argibay, Brenda Maure, Caritina Vázquez-Triñanes, Nair Pérez Gómez, David Fernández-Fernández, Sandra Vila, Coral Mouriño, Rogier M Thurlings, Arjan van Caam, Alberto Rivera, José María Pego-Reigosa, Timothy R Radstake, Samuel Garcia","doi":"10.1002/art.70374","DOIUrl":"https://doi.org/10.1002/art.70374","url":null,"abstract":"<p><p>OBJECTIVE: We previously showed that Semaphorin4A (Sema4A) is elevated in patients with systemic sclerosis (SSc) and promotes inflammation and fibrosis in vitro. Here, we examined the effect of Sema4A neutralization in vivo and in 3D fibrosis models.</p><p><strong>Methods: </strong>Sema4A plasma levels were measured by ELISA in healthy controls (n=31) and patients with SSc (n=30). In the bleomycin SSc-model, mice were treated with an anti-Sema4A neutralizing antibody or its respective isotype control (n=6-7). The 3D fibrosis models, consisting of collagen hydrogel, dermal fibroblasts, and peripheral blood mononuclear cells, were stimulated with recombinant Sema4A, rapamycin, or antibodies neutralizing Sema4A, PlexinD1, PlexinB2, Neuropilin-1 or their respective isotype controls (n=6-10). Collagen content was determined by trichrome staining and hydroxyproline assay. Gene expression was determined by RT-qPCR and obtained from GEO-NCBI expression arrays, while protein expression by immunohistochemistry, immunoblotting and flow cytometry.</p><p><strong>Results: </strong>Circulating Sema4A was elevated in patients with SSc (p<0.0001), while Sema4A receptors were elevated in SSc skin and lung (p ranged from <0.05 to 0.0001). Anti-Sema4A administration significantly reduced skin and lung collagen content in bleomycin-treated mice (p<0.01), as well as the expression of extracellular matrix components, fibrotic and inflammatory mediators, and immune cell infiltration. In the 3D models, SSc serum and SSc PBMCs induced cell contraction, which was drastically abrogated by blocking Sema4A (p<0.01). This effect was associated with reduced expression of fibrotic mediators and attenuated mTORC1 pathway activation.</p><p><strong>Conclusions: </strong>We confirmed the pro-fibrotic and pro-inflammatory role of Sema4A, postulating Sema4A neutralization as a novel approach for the treatment of SSc.</p>","PeriodicalId":129,"journal":{"name":"Arthritis & Rheumatology","volume":" ","pages":""},"PeriodicalIF":9.9,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149226801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Arthritis & Rheumatology
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