多颞叶单细胞分析揭示肺泡il - 1βhi中性粒细胞:卡片进展的重要指标

IF 6.8 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Xiangyu Chen, Ziqi Tan, Hantian Li, Qianlin Wang, Siyi Yuan, Liangyu Mi, Yuechuan Xue, Yi Chi, Shuaishuai Yang, Yanjie Zhao, Huaiwu He, Xuegong Zhang, Longxiang Su, Yun Long
{"title":"多颞叶单细胞分析揭示肺泡il - 1βhi中性粒细胞:卡片进展的重要指标","authors":"Yingying Yang,&nbsp;Haochen Li,&nbsp;Peng Liu,&nbsp;Jinmeng Jia,&nbsp;Lei Wei,&nbsp;Xiangyu Chen,&nbsp;Ziqi Tan,&nbsp;Hantian Li,&nbsp;Qianlin Wang,&nbsp;Siyi Yuan,&nbsp;Liangyu Mi,&nbsp;Yuechuan Xue,&nbsp;Yi Chi,&nbsp;Shuaishuai Yang,&nbsp;Yanjie Zhao,&nbsp;Huaiwu He,&nbsp;Xuegong Zhang,&nbsp;Longxiang Su,&nbsp;Yun Long","doi":"10.1002/ctm2.70479","DOIUrl":null,"url":null,"abstract":"<p>Dear Editor</p><p>Acute respiratory distress syndrome (ARDS) is a complex life-threatening syndrome. Injury mechanisms behind ARDS rapid condition change and their association with treatment efficacy remain unclear. Using multitemporal single-cell RNA sequencing (scRNA-seq) on bronchoalveolar lavage fluid (BALF), we provided the first paired human lung immune cell atlas before and after ARDS condition change. We identified IL1β<sup>hi</sup> neutrophils as dominant in severe ARDS and linked to disease worsening. Neutrophil metabolic reprogramming and interactions with macrophages amplify inflammation, suggesting IL-1 blockade potential.</p><p>This study included eight severe ARDS patients, comprising four COVID-19-related ARDS (CARDS) and four non-CARDS patients (Table S1), with 23 public CARDS samples as controls. BALF samples were obtained upon admission (t1) and condition change (t2; Figure 1A). ScRNA-seq captured 87044 cells, labelled as major types<span><sup>1</sup></span> (Figure 1B,C). Compared to GSE145926 CARDS BALF data,<span><sup>1</sup></span> our CARDS patients exhibited significantly higher neutrophil proportions. Neutrophils were predominant in our results, followed by macrophages (Figure 1D). ΔMurray scores (MS) categorised patients into exacerbation (ΔMS ≥ +1) and remission groups, confirmed by computed tomography (CT; Figure 1E). In CARDS, after treatment, neutrophils significantly decreased and epithelial cells increased in remission groups, while no such change occurred in exacerbated patients (Figure 1F), suggesting neutrophils as important determinants of CARDS progression. In non-CARDS, we detected macrophages significantly increase in exacerbated patients, suggesting macrophages may have more impacts on non-CARDS progression (Figure 1G).</p><p>To identify neutrophil subtypes related to ARDS progression, we classified neutrophils into progenitor (CD63+), mature (IL1Β<sup>hi</sup>, S100A12+CXCR2+ and CCL4+), and hybrid neutrophils (CD74+)<span><sup>2</sup></span> (Figures 2A,B and S1A–F). Neutrophil evolution followed two trajectories: immature—S100A12+CXCR2+ neutrophils and immature—IL1β<sup>hi</sup>—S100A12+CXCR2+ neutrophils (Figures 2A and S1G,H). IL1β<sup>hi</sup> neutrophils significantly increased in exacerbated patients compared to baselines (Figure 2C,D), with upregulated inflammatory genes (<i>IL1B</i>, <i>ISG15</i>, and <i>PTGS2</i>) and interferon-related pathways (Figure 2E,F). These genes, like <i>PTGS2</i>, are identified as key genes in SARS-CoV-2 immunopathogenesis.<span><sup>3, 4</sup></span> IL1β<sup>hi</sup> neutrophil signatures and IL1B gene can also be used as prognostic indicators for CARDS (Area under curve [AUC]: .8693, Figure S1I). Comparing our neutrophils with neutrophils from CARDS peripheral blood<span><sup>5</sup></span> (Figure 2G), peripheral neutrophils rarely express IL1β<sup>hi</sup> neutrophil signatures, while cells with high expression nearly all come from BALF (Figure 2H). This demonstrates that this progression-related neutrophil group could be unique to BALF, further confirming the uniqueness of our findings.</p><p>Comparing CARDS and non-CARDS, CARDS patients exhibited higher <i>IL1B</i>, <i>IL1R1</i>, and <i>IL1RAP</i> expression than non-CARDS (Figure 2I), while IL1β<sup>hi</sup> neutrophils remained low in both non-CARDS remission and exacerbation groups (Figure 2J). Considering non-CARDS cell-type proportions changes (Figure 1F), we think that associations between IL1β<sup>hi</sup> neutrophils and progression may be unique to CARDS.</p><p>Next, we explored pro-inflammatory mechanisms of IL1β<sup>hi</sup> neutrophils. Metabolic analysis indicated IL1β<sup>hi</sup> neutrophils undergo distinct shifts from glucose to fatty acid metabolism (Figure 3A,B), with elevated lipid-metabolism enzymes (e.g., ACSL1; Figure 3C). Studies have shown the relationship of ACSL1 with IL1β release and neutrophil chemotaxis.<span><sup>6</sup></span> Transcription factor (TF) analysis revealed upregulation of NFKB2, RELB, and STAT (Figure 3D). Thus, we hypothesise that elevated neutrophil ACSL1 may contribute to lysosomal stress via intracellular lipid accumulation, which could activate inflammatory pathways and facilitate IL1β release. Also, elevated ACSL1 promoted fatty acid oxidation, increased mitochondrial metabolism and ATP production, which also promoted neutrophil differentiation (Figure 3E).</p><p>To investigate relationships between other cell types and IL1β<sup>hi</sup> neutrophils, we classified macrophages into subclusters (Figure 4A,B). Highly inflammatory M1 macrophages (IFIT+CXCL10+) increased in exacerbated patients, suggesting their association with CARDS progression (Figures 4C,D and S2A), with upregulation of interferon-related genes (<i>IFIT3</i>, <i>ISG20</i>, <i>ISG15</i>) and located at the end of pseudotime trajectories as a pathogen-responsive state (Figures 4E,F and S2B,C). Fibrosis signatures, which significantly upregulated in immunomodulatory profibrotic M2 and alveolar macrophages, aren't enriched in IFIT+CXCL10+ macrophages (Figure S2D). Metabolism analysis further detected increased oxidative phosphorylation in IFIT+CXCL10+ macrophages (Figure S2E). While prior studies focused on macrophage-derived IL1β,<span><sup>7, 8</sup></span> our findings suggest IL1β-related neutrophils may have stronger associations with progression.</p><p>Our analysis revealed strong inflammatory macrophage–neutrophil interactions, with macrophage-derived ligands (particularly IL-6 from IFIT+CXCL10+ macrophages) prominently activating IL1β<sup>hi</sup> neutrophils (Figure 4G,H). Olink confirmed IL-6 and other proteins related to neutrophil activation were significantly elevated in BALF supernatant and peripheral blood plasma of exacerbated patients (Figures 4I and S2F). Studies have shown that neutrophils can activate STAT3 and NFKB under IL6, thereby mediating high intracellular inflammation.<span><sup>9</sup></span> Our analysis also suggests these two TFs activate in IL1β<sup>hi</sup> neutrophils. Confirming IL1B and IL6 cellular sources, we speculate that IFIT+CXCL10+ macrophages act on neutrophils by releasing IL6, causing high inflammation (Figures 4J and S4G,H).</p><p>Also, considering IL1β<sup>hi</sup> neutrophils as upstream cells, we found that IL1β/TNF from IL1β<sup>hi</sup> neutrophils may potentially induce IFIT+CXCL10+ macrophages (Figure S2I,J). IL1β receptors are highly expressed in IFIT+CXCL10+ macrophages (Figure S2J), further suggesting pro-inflammatory positive feedback loops with IL1β<sup>hi</sup> neutrophils and IFIT+CXCL10+ macrophages, causing lung-injury exacerbation.</p><p>As all these patients had baseline immunosuppression, we investigated neutrophil–T interactions. Identifying T-cell subgroups (Figure S3A,B) and comparing IL1β<sup>hi</sup> neutrophil–T and other neutrophil–T interactions, we found IL1β<sup>hi</sup> neutrophil–T with stronger PDL1/PD1 signalling (Figure S3C). We further confirmed PDL1 mainly expressed in IL1β<sup>hi</sup> neutrophils and PD1 mainly in Treg (Figure S3D). These indicate that in immunosuppressed CARDS patients, neutrophil-induced immunosuppression potentially accelerates cellular immune decline, warranting further attention.</p><p>In conclusion, we provided the first multitemporal human ARDS lung immune cell atlas, to our knowledge. Neutrophils dominate BALF samples, with alveolar-specific IL1β<sup>hi</sup> neutrophils increasing during exacerbation, suggesting links to ARDS progression. These neutrophils express inflammation-related genes and exhibit metabolic signatures suggestive of shifts from glucose to fatty acid metabolism, potentially associated with pro-inflammatory phenotypes. Bioinformatic analysis indicated they may also act as intercellular communication hubs, forming signalling axes with macrophages and T cells. BALF proteomics confirmed the IL-6 signals. IL-1 blockers are found with ability to control inflammation in various diseases, which effect on ARDS also was supported by retrospective cohort studies and mouse models.<span><sup>10</sup></span> Our findings highlight IL-1 signalling and alveolar inflammatory loops as potential therapeutic targets in severe ARDS, although further validation is required. While our single-cell transcriptomic data suggest associations between alveolar immune changes and CARDS progression, direct experimental validation remains necessary. Future experiments are warranted to assess whether IL-6 or fatty acid exposure can induce IL1β<sup>hi</sup> neutrophil phenotypes in vitro, and evaluate the therapeutic impact of neutrophil depletion, IL-1 blockade, or metabolic inhibition in murine ARDS models.</p><p>Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Xiangyu Chen, Ziqi Tan, Hantian Li, Qianlin Wang, Siyi Yuan, Liangyu Mi, Yuechuan Xue, Yi Chi, Shuaishuai Yang, Yanjie Zhao: Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Longxiang Su, Yun Long: Drafting the work or reviewing it critically for important intellectual content; Longxiang Su, Yun Long: Final approval of the version to be published; Longxiang Su, Yun Long: Agreement to be accountable for all aspects of the work.</p><p>The authors declare no conflicts of interest.</p><p>All patients signed an informed consent for study enrolment. The study was supported by the Ethics Committee of Peking Union Medical College Hospital (ZS-3391).</p>","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"15 10","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctm2.70479","citationCount":"0","resultStr":"{\"title\":\"Multitemporal single-cell profiling uncovers alveolar IL1βhi neutrophils: A significant indicator of CARDS progression\",\"authors\":\"Yingying Yang,&nbsp;Haochen Li,&nbsp;Peng Liu,&nbsp;Jinmeng Jia,&nbsp;Lei Wei,&nbsp;Xiangyu Chen,&nbsp;Ziqi Tan,&nbsp;Hantian Li,&nbsp;Qianlin Wang,&nbsp;Siyi Yuan,&nbsp;Liangyu Mi,&nbsp;Yuechuan Xue,&nbsp;Yi Chi,&nbsp;Shuaishuai Yang,&nbsp;Yanjie Zhao,&nbsp;Huaiwu He,&nbsp;Xuegong Zhang,&nbsp;Longxiang Su,&nbsp;Yun Long\",\"doi\":\"10.1002/ctm2.70479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Dear Editor</p><p>Acute respiratory distress syndrome (ARDS) is a complex life-threatening syndrome. Injury mechanisms behind ARDS rapid condition change and their association with treatment efficacy remain unclear. Using multitemporal single-cell RNA sequencing (scRNA-seq) on bronchoalveolar lavage fluid (BALF), we provided the first paired human lung immune cell atlas before and after ARDS condition change. We identified IL1β<sup>hi</sup> neutrophils as dominant in severe ARDS and linked to disease worsening. Neutrophil metabolic reprogramming and interactions with macrophages amplify inflammation, suggesting IL-1 blockade potential.</p><p>This study included eight severe ARDS patients, comprising four COVID-19-related ARDS (CARDS) and four non-CARDS patients (Table S1), with 23 public CARDS samples as controls. BALF samples were obtained upon admission (t1) and condition change (t2; Figure 1A). ScRNA-seq captured 87044 cells, labelled as major types<span><sup>1</sup></span> (Figure 1B,C). Compared to GSE145926 CARDS BALF data,<span><sup>1</sup></span> our CARDS patients exhibited significantly higher neutrophil proportions. Neutrophils were predominant in our results, followed by macrophages (Figure 1D). ΔMurray scores (MS) categorised patients into exacerbation (ΔMS ≥ +1) and remission groups, confirmed by computed tomography (CT; Figure 1E). In CARDS, after treatment, neutrophils significantly decreased and epithelial cells increased in remission groups, while no such change occurred in exacerbated patients (Figure 1F), suggesting neutrophils as important determinants of CARDS progression. In non-CARDS, we detected macrophages significantly increase in exacerbated patients, suggesting macrophages may have more impacts on non-CARDS progression (Figure 1G).</p><p>To identify neutrophil subtypes related to ARDS progression, we classified neutrophils into progenitor (CD63+), mature (IL1Β<sup>hi</sup>, S100A12+CXCR2+ and CCL4+), and hybrid neutrophils (CD74+)<span><sup>2</sup></span> (Figures 2A,B and S1A–F). Neutrophil evolution followed two trajectories: immature—S100A12+CXCR2+ neutrophils and immature—IL1β<sup>hi</sup>—S100A12+CXCR2+ neutrophils (Figures 2A and S1G,H). IL1β<sup>hi</sup> neutrophils significantly increased in exacerbated patients compared to baselines (Figure 2C,D), with upregulated inflammatory genes (<i>IL1B</i>, <i>ISG15</i>, and <i>PTGS2</i>) and interferon-related pathways (Figure 2E,F). These genes, like <i>PTGS2</i>, are identified as key genes in SARS-CoV-2 immunopathogenesis.<span><sup>3, 4</sup></span> IL1β<sup>hi</sup> neutrophil signatures and IL1B gene can also be used as prognostic indicators for CARDS (Area under curve [AUC]: .8693, Figure S1I). Comparing our neutrophils with neutrophils from CARDS peripheral blood<span><sup>5</sup></span> (Figure 2G), peripheral neutrophils rarely express IL1β<sup>hi</sup> neutrophil signatures, while cells with high expression nearly all come from BALF (Figure 2H). This demonstrates that this progression-related neutrophil group could be unique to BALF, further confirming the uniqueness of our findings.</p><p>Comparing CARDS and non-CARDS, CARDS patients exhibited higher <i>IL1B</i>, <i>IL1R1</i>, and <i>IL1RAP</i> expression than non-CARDS (Figure 2I), while IL1β<sup>hi</sup> neutrophils remained low in both non-CARDS remission and exacerbation groups (Figure 2J). Considering non-CARDS cell-type proportions changes (Figure 1F), we think that associations between IL1β<sup>hi</sup> neutrophils and progression may be unique to CARDS.</p><p>Next, we explored pro-inflammatory mechanisms of IL1β<sup>hi</sup> neutrophils. Metabolic analysis indicated IL1β<sup>hi</sup> neutrophils undergo distinct shifts from glucose to fatty acid metabolism (Figure 3A,B), with elevated lipid-metabolism enzymes (e.g., ACSL1; Figure 3C). Studies have shown the relationship of ACSL1 with IL1β release and neutrophil chemotaxis.<span><sup>6</sup></span> Transcription factor (TF) analysis revealed upregulation of NFKB2, RELB, and STAT (Figure 3D). Thus, we hypothesise that elevated neutrophil ACSL1 may contribute to lysosomal stress via intracellular lipid accumulation, which could activate inflammatory pathways and facilitate IL1β release. Also, elevated ACSL1 promoted fatty acid oxidation, increased mitochondrial metabolism and ATP production, which also promoted neutrophil differentiation (Figure 3E).</p><p>To investigate relationships between other cell types and IL1β<sup>hi</sup> neutrophils, we classified macrophages into subclusters (Figure 4A,B). Highly inflammatory M1 macrophages (IFIT+CXCL10+) increased in exacerbated patients, suggesting their association with CARDS progression (Figures 4C,D and S2A), with upregulation of interferon-related genes (<i>IFIT3</i>, <i>ISG20</i>, <i>ISG15</i>) and located at the end of pseudotime trajectories as a pathogen-responsive state (Figures 4E,F and S2B,C). Fibrosis signatures, which significantly upregulated in immunomodulatory profibrotic M2 and alveolar macrophages, aren't enriched in IFIT+CXCL10+ macrophages (Figure S2D). Metabolism analysis further detected increased oxidative phosphorylation in IFIT+CXCL10+ macrophages (Figure S2E). While prior studies focused on macrophage-derived IL1β,<span><sup>7, 8</sup></span> our findings suggest IL1β-related neutrophils may have stronger associations with progression.</p><p>Our analysis revealed strong inflammatory macrophage–neutrophil interactions, with macrophage-derived ligands (particularly IL-6 from IFIT+CXCL10+ macrophages) prominently activating IL1β<sup>hi</sup> neutrophils (Figure 4G,H). Olink confirmed IL-6 and other proteins related to neutrophil activation were significantly elevated in BALF supernatant and peripheral blood plasma of exacerbated patients (Figures 4I and S2F). Studies have shown that neutrophils can activate STAT3 and NFKB under IL6, thereby mediating high intracellular inflammation.<span><sup>9</sup></span> Our analysis also suggests these two TFs activate in IL1β<sup>hi</sup> neutrophils. Confirming IL1B and IL6 cellular sources, we speculate that IFIT+CXCL10+ macrophages act on neutrophils by releasing IL6, causing high inflammation (Figures 4J and S4G,H).</p><p>Also, considering IL1β<sup>hi</sup> neutrophils as upstream cells, we found that IL1β/TNF from IL1β<sup>hi</sup> neutrophils may potentially induce IFIT+CXCL10+ macrophages (Figure S2I,J). IL1β receptors are highly expressed in IFIT+CXCL10+ macrophages (Figure S2J), further suggesting pro-inflammatory positive feedback loops with IL1β<sup>hi</sup> neutrophils and IFIT+CXCL10+ macrophages, causing lung-injury exacerbation.</p><p>As all these patients had baseline immunosuppression, we investigated neutrophil–T interactions. Identifying T-cell subgroups (Figure S3A,B) and comparing IL1β<sup>hi</sup> neutrophil–T and other neutrophil–T interactions, we found IL1β<sup>hi</sup> neutrophil–T with stronger PDL1/PD1 signalling (Figure S3C). We further confirmed PDL1 mainly expressed in IL1β<sup>hi</sup> neutrophils and PD1 mainly in Treg (Figure S3D). These indicate that in immunosuppressed CARDS patients, neutrophil-induced immunosuppression potentially accelerates cellular immune decline, warranting further attention.</p><p>In conclusion, we provided the first multitemporal human ARDS lung immune cell atlas, to our knowledge. Neutrophils dominate BALF samples, with alveolar-specific IL1β<sup>hi</sup> neutrophils increasing during exacerbation, suggesting links to ARDS progression. These neutrophils express inflammation-related genes and exhibit metabolic signatures suggestive of shifts from glucose to fatty acid metabolism, potentially associated with pro-inflammatory phenotypes. Bioinformatic analysis indicated they may also act as intercellular communication hubs, forming signalling axes with macrophages and T cells. BALF proteomics confirmed the IL-6 signals. IL-1 blockers are found with ability to control inflammation in various diseases, which effect on ARDS also was supported by retrospective cohort studies and mouse models.<span><sup>10</sup></span> Our findings highlight IL-1 signalling and alveolar inflammatory loops as potential therapeutic targets in severe ARDS, although further validation is required. While our single-cell transcriptomic data suggest associations between alveolar immune changes and CARDS progression, direct experimental validation remains necessary. Future experiments are warranted to assess whether IL-6 or fatty acid exposure can induce IL1β<sup>hi</sup> neutrophil phenotypes in vitro, and evaluate the therapeutic impact of neutrophil depletion, IL-1 blockade, or metabolic inhibition in murine ARDS models.</p><p>Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Xiangyu Chen, Ziqi Tan, Hantian Li, Qianlin Wang, Siyi Yuan, Liangyu Mi, Yuechuan Xue, Yi Chi, Shuaishuai Yang, Yanjie Zhao: Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Longxiang Su, Yun Long: Drafting the work or reviewing it critically for important intellectual content; Longxiang Su, Yun Long: Final approval of the version to be published; Longxiang Su, Yun Long: Agreement to be accountable for all aspects of the work.</p><p>The authors declare no conflicts of interest.</p><p>All patients signed an informed consent for study enrolment. The study was supported by the Ethics Committee of Peking Union Medical College Hospital (ZS-3391).</p>\",\"PeriodicalId\":10189,\"journal\":{\"name\":\"Clinical and Translational Medicine\",\"volume\":\"15 10\",\"pages\":\"\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctm2.70479\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70479\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70479","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
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摘要

亲爱的编辑:急性呼吸窘迫综合征(ARDS)是一种复杂的危及生命的综合征。ARDS快速病情变化背后的损伤机制及其与治疗效果的关系尚不清楚。通过对支气管肺泡灌洗液(BALF)进行多期单细胞RNA测序(scRNA-seq),我们首次获得了ARDS病情改变前后的配对人肺免疫细胞图谱。我们发现il - 1βhi中性粒细胞在严重ARDS中占主导地位,并与疾病恶化有关。中性粒细胞代谢重编程和与巨噬细胞的相互作用放大炎症,提示IL-1的阻断潜力。本研究纳入8例重症ARDS患者,包括4例与covid -19相关的ARDS (CARDS)和4例非CARDS患者(表S1),以23例公共CARDS样本作为对照。在入院(t1)和条件改变(t2;图1A)时获得BALF样本。ScRNA-seq捕获87044个细胞,标记为主要类型1(图1B,C)。与GSE145926 CARDS BALF数据相比,1我们的CARDS患者表现出明显更高的中性粒细胞比例。在我们的结果中,中性粒细胞占主导地位,其次是巨噬细胞(图1D)。ΔMurray评分(MS)将患者分为加重组(ΔMS≥+1)和缓解组,经计算机断层扫描(CT;图1E)证实。在CARDS中,治疗后,缓解组的中性粒细胞显著减少,上皮细胞增加,而加重组没有发生这种变化(图1F),表明中性粒细胞是CARDS进展的重要决定因素。在非cards患者中,我们检测到巨噬细胞在加重患者中显著增加,这表明巨噬细胞可能对非cards进展有更大的影响(图1G)。为了确定与ARDS进展相关的中性粒细胞亚型,我们将中性粒细胞分为祖中性粒细胞(CD63+)、成熟中性粒细胞(IL1Βhi、S100A12+CXCR2+和CCL4+)和杂交中性粒细胞(CD74+)2(图2A、B和S1A-F)。中性粒细胞的进化遵循两个轨迹:不成熟- s100a12 +CXCR2+中性粒细胞和不成熟- il - 1βhi - s100a12 +CXCR2+中性粒细胞(图2A和S1G,H)。与基线相比,加重患者的il - 1βhi中性粒细胞显著增加(图2C,D),炎症基因(IL1B, ISG15和PTGS2)和干扰素相关途径上调(图2E,F)。这些基因,如PTGS2,被确定为SARS-CoV-2免疫发病的关键基因。3,4 il - 1βhi中性粒细胞特征和il - 1b基因也可作为CARDS的预后指标(曲线下面积[AUC]:。8693,图s1)。将我们的中性粒细胞与卡片外周血中的中性粒细胞进行比较(图2G),外周中性粒细胞很少表达il - 1βhi中性粒细胞特征,而高表达的细胞几乎都来自BALF(图2H)。这表明这种与进展相关的中性粒细胞群可能是BALF独有的,进一步证实了我们研究结果的独特性。比较卡牌和非卡牌患者,卡牌患者的IL1B、IL1R1和IL1RAP表达高于非卡牌患者(图2I),而在非卡牌缓解组和加重组中,IL1βhi中性粒细胞仍然很低(图2J)。考虑到非卡司细胞类型比例的变化(图1F),我们认为il - 1βhi中性粒细胞与进展之间的关联可能是卡司所独有的。接下来,我们探讨了il - 1βhi中性粒细胞的促炎机制。代谢分析表明,il - 1βhi中性粒细胞经历了从葡萄糖代谢到脂肪酸代谢的明显转变(图3A,B),脂质代谢酶升高(如ACSL1;图3C)。研究表明ACSL1与il - 1β释放和中性粒细胞趋化有关转录因子(TF)分析显示NFKB2、RELB和STAT上调(图3D)。因此,我们假设升高的中性粒细胞ACSL1可能通过细胞内脂质积累导致溶酶体应激,这可能激活炎症途径并促进il - 1β的释放。此外,ACSL1的升高促进了脂肪酸氧化,增加了线粒体代谢和ATP的产生,这也促进了中性粒细胞分化(图3E)。为了研究其他细胞类型与il - 1βhi中性粒细胞之间的关系,我们将巨噬细胞分为亚簇(图4A,B)。高度炎症的M1巨噬细胞(IFIT+CXCL10+)在加重患者中增加,表明它们与CARDS进展相关(图4C,D和S2A),干扰素相关基因(IFIT3, ISG20, ISG15)上调,位于假时间轨迹的末端,作为病原体应答状态(图4E,F和S2B,C)。在免疫调节性纤维化M2和肺泡巨噬细胞中显著上调的纤维化特征在IFIT+CXCL10+巨噬细胞中不富集(图S2D)。代谢分析进一步发现IFIT+CXCL10+巨噬细胞中氧化磷酸化升高(图S2E)。 虽然先前的研究主要集中在巨噬细胞来源的il - 1β, 7,8,但我们的研究结果表明,与il - 1β相关的中性粒细胞可能与进展有更强的关联。我们的分析显示,炎症性巨噬细胞与中性粒细胞之间存在强烈的相互作用,巨噬细胞衍生的配体(特别是来自IFIT+CXCL10+巨噬细胞的IL-6)显著激活了il - 1βhi中性粒细胞(图4G,H)。Olink证实,加重患者的BALF上清和外周血血浆中IL-6等与中性粒细胞活化相关的蛋白显著升高(图4I和S2F)。研究表明,中性粒细胞可以激活IL6下的STAT3和NFKB,从而介导细胞内高炎症我们的分析还表明,这两种tf在il - 1βhi中性粒细胞中激活。确认了IL1B和IL6的细胞来源,我们推测IFIT+CXCL10+巨噬细胞通过释放IL6作用于中性粒细胞,引起高炎症(图4J和S4G,H)。此外,考虑到il - 1βhi中性粒细胞是上游细胞,我们发现来自il - 1βhi中性粒细胞的il - 1β/TNF可能潜在地诱导IFIT+CXCL10+巨噬细胞(图S2I,J)。il - 1β受体在IFIT+CXCL10+巨噬细胞中高表达(图S2J),进一步提示与il - 1βhi中性粒细胞和IFIT+CXCL10+巨噬细胞的促炎正反馈回路,导致肺损伤加重。由于所有这些患者都有基线免疫抑制,我们研究了中性粒细胞- t相互作用。鉴定t细胞亚群(图S3A,B),比较il - 1βhi中性粒细胞- t和其他中性粒细胞- t相互作用,我们发现il - 1βhi中性粒细胞- t具有更强的PDL1/PD1信号传导(图S3C)。我们进一步证实PDL1主要表达在il - 1βhi中性粒细胞中,PD1主要表达在Treg中(图S3D)。这些表明,在免疫抑制的卡患者中,中性粒细胞诱导的免疫抑制可能加速细胞免疫衰退,值得进一步关注。总之,据我们所知,我们提供了第一个多时段的人类ARDS肺免疫细胞图谱。中性粒细胞主导BALF样本,肺泡特异性il - 1βhi中性粒细胞在加重期间增加,提示与ARDS进展有关。这些中性粒细胞表达炎症相关基因,并表现出从葡萄糖代谢向脂肪酸代谢转变的代谢特征,可能与促炎表型相关。生物信息学分析表明,它们也可能作为细胞间通讯枢纽,与巨噬细胞和T细胞形成信号轴。BALF蛋白质组学证实了IL-6信号。IL-1阻滞剂在多种疾病中具有控制炎症的能力,其对ARDS的作用也得到了回顾性队列研究和小鼠模型的支持我们的研究结果强调IL-1信号和肺泡炎症循环是严重ARDS的潜在治疗靶点,尽管需要进一步验证。虽然我们的单细胞转录组学数据表明肺泡免疫变化与卡片进展之间存在关联,但直接的实验验证仍然是必要的。未来的实验需要评估IL-6或脂肪酸暴露是否可以在体外诱导IL-1 βhi中性粒细胞表型,并评估中性粒细胞耗尽、IL-1阻断或代谢抑制对小鼠ARDS模型的治疗作用。杨莹莹、李昊晨、刘鹏、贾金萌、魏磊、陈翔宇、谭子奇、李汉天、王倩琳、袁思怡、米良玉、薛月川、迟毅、杨帅帅、赵艳杰:对作品的构思或设计有实质性贡献;或对工作数据的获取、分析或解释;杨莹颖、李昊辰、刘鹏、贾金梦、魏磊、苏龙祥、龙云:对重要知识内容的起草或批判性审查;苏龙祥、云龙:最终审定出版版本;苏龙祥、云龙:约定对各方面工作负责。作者声明无利益冲突。所有患者都签署了一份知情同意书。本研究得到北京协和医院伦理委员会(ZS-3391)的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multitemporal single-cell profiling uncovers alveolar IL1βhi neutrophils: A significant indicator of CARDS progression

Multitemporal single-cell profiling uncovers alveolar IL1βhi neutrophils: A significant indicator of CARDS progression

Dear Editor

Acute respiratory distress syndrome (ARDS) is a complex life-threatening syndrome. Injury mechanisms behind ARDS rapid condition change and their association with treatment efficacy remain unclear. Using multitemporal single-cell RNA sequencing (scRNA-seq) on bronchoalveolar lavage fluid (BALF), we provided the first paired human lung immune cell atlas before and after ARDS condition change. We identified IL1βhi neutrophils as dominant in severe ARDS and linked to disease worsening. Neutrophil metabolic reprogramming and interactions with macrophages amplify inflammation, suggesting IL-1 blockade potential.

This study included eight severe ARDS patients, comprising four COVID-19-related ARDS (CARDS) and four non-CARDS patients (Table S1), with 23 public CARDS samples as controls. BALF samples were obtained upon admission (t1) and condition change (t2; Figure 1A). ScRNA-seq captured 87044 cells, labelled as major types1 (Figure 1B,C). Compared to GSE145926 CARDS BALF data,1 our CARDS patients exhibited significantly higher neutrophil proportions. Neutrophils were predominant in our results, followed by macrophages (Figure 1D). ΔMurray scores (MS) categorised patients into exacerbation (ΔMS ≥ +1) and remission groups, confirmed by computed tomography (CT; Figure 1E). In CARDS, after treatment, neutrophils significantly decreased and epithelial cells increased in remission groups, while no such change occurred in exacerbated patients (Figure 1F), suggesting neutrophils as important determinants of CARDS progression. In non-CARDS, we detected macrophages significantly increase in exacerbated patients, suggesting macrophages may have more impacts on non-CARDS progression (Figure 1G).

To identify neutrophil subtypes related to ARDS progression, we classified neutrophils into progenitor (CD63+), mature (IL1Βhi, S100A12+CXCR2+ and CCL4+), and hybrid neutrophils (CD74+)2 (Figures 2A,B and S1A–F). Neutrophil evolution followed two trajectories: immature—S100A12+CXCR2+ neutrophils and immature—IL1βhi—S100A12+CXCR2+ neutrophils (Figures 2A and S1G,H). IL1βhi neutrophils significantly increased in exacerbated patients compared to baselines (Figure 2C,D), with upregulated inflammatory genes (IL1B, ISG15, and PTGS2) and interferon-related pathways (Figure 2E,F). These genes, like PTGS2, are identified as key genes in SARS-CoV-2 immunopathogenesis.3, 4 IL1βhi neutrophil signatures and IL1B gene can also be used as prognostic indicators for CARDS (Area under curve [AUC]: .8693, Figure S1I). Comparing our neutrophils with neutrophils from CARDS peripheral blood5 (Figure 2G), peripheral neutrophils rarely express IL1βhi neutrophil signatures, while cells with high expression nearly all come from BALF (Figure 2H). This demonstrates that this progression-related neutrophil group could be unique to BALF, further confirming the uniqueness of our findings.

Comparing CARDS and non-CARDS, CARDS patients exhibited higher IL1B, IL1R1, and IL1RAP expression than non-CARDS (Figure 2I), while IL1βhi neutrophils remained low in both non-CARDS remission and exacerbation groups (Figure 2J). Considering non-CARDS cell-type proportions changes (Figure 1F), we think that associations between IL1βhi neutrophils and progression may be unique to CARDS.

Next, we explored pro-inflammatory mechanisms of IL1βhi neutrophils. Metabolic analysis indicated IL1βhi neutrophils undergo distinct shifts from glucose to fatty acid metabolism (Figure 3A,B), with elevated lipid-metabolism enzymes (e.g., ACSL1; Figure 3C). Studies have shown the relationship of ACSL1 with IL1β release and neutrophil chemotaxis.6 Transcription factor (TF) analysis revealed upregulation of NFKB2, RELB, and STAT (Figure 3D). Thus, we hypothesise that elevated neutrophil ACSL1 may contribute to lysosomal stress via intracellular lipid accumulation, which could activate inflammatory pathways and facilitate IL1β release. Also, elevated ACSL1 promoted fatty acid oxidation, increased mitochondrial metabolism and ATP production, which also promoted neutrophil differentiation (Figure 3E).

To investigate relationships between other cell types and IL1βhi neutrophils, we classified macrophages into subclusters (Figure 4A,B). Highly inflammatory M1 macrophages (IFIT+CXCL10+) increased in exacerbated patients, suggesting their association with CARDS progression (Figures 4C,D and S2A), with upregulation of interferon-related genes (IFIT3, ISG20, ISG15) and located at the end of pseudotime trajectories as a pathogen-responsive state (Figures 4E,F and S2B,C). Fibrosis signatures, which significantly upregulated in immunomodulatory profibrotic M2 and alveolar macrophages, aren't enriched in IFIT+CXCL10+ macrophages (Figure S2D). Metabolism analysis further detected increased oxidative phosphorylation in IFIT+CXCL10+ macrophages (Figure S2E). While prior studies focused on macrophage-derived IL1β,7, 8 our findings suggest IL1β-related neutrophils may have stronger associations with progression.

Our analysis revealed strong inflammatory macrophage–neutrophil interactions, with macrophage-derived ligands (particularly IL-6 from IFIT+CXCL10+ macrophages) prominently activating IL1βhi neutrophils (Figure 4G,H). Olink confirmed IL-6 and other proteins related to neutrophil activation were significantly elevated in BALF supernatant and peripheral blood plasma of exacerbated patients (Figures 4I and S2F). Studies have shown that neutrophils can activate STAT3 and NFKB under IL6, thereby mediating high intracellular inflammation.9 Our analysis also suggests these two TFs activate in IL1βhi neutrophils. Confirming IL1B and IL6 cellular sources, we speculate that IFIT+CXCL10+ macrophages act on neutrophils by releasing IL6, causing high inflammation (Figures 4J and S4G,H).

Also, considering IL1βhi neutrophils as upstream cells, we found that IL1β/TNF from IL1βhi neutrophils may potentially induce IFIT+CXCL10+ macrophages (Figure S2I,J). IL1β receptors are highly expressed in IFIT+CXCL10+ macrophages (Figure S2J), further suggesting pro-inflammatory positive feedback loops with IL1βhi neutrophils and IFIT+CXCL10+ macrophages, causing lung-injury exacerbation.

As all these patients had baseline immunosuppression, we investigated neutrophil–T interactions. Identifying T-cell subgroups (Figure S3A,B) and comparing IL1βhi neutrophil–T and other neutrophil–T interactions, we found IL1βhi neutrophil–T with stronger PDL1/PD1 signalling (Figure S3C). We further confirmed PDL1 mainly expressed in IL1βhi neutrophils and PD1 mainly in Treg (Figure S3D). These indicate that in immunosuppressed CARDS patients, neutrophil-induced immunosuppression potentially accelerates cellular immune decline, warranting further attention.

In conclusion, we provided the first multitemporal human ARDS lung immune cell atlas, to our knowledge. Neutrophils dominate BALF samples, with alveolar-specific IL1βhi neutrophils increasing during exacerbation, suggesting links to ARDS progression. These neutrophils express inflammation-related genes and exhibit metabolic signatures suggestive of shifts from glucose to fatty acid metabolism, potentially associated with pro-inflammatory phenotypes. Bioinformatic analysis indicated they may also act as intercellular communication hubs, forming signalling axes with macrophages and T cells. BALF proteomics confirmed the IL-6 signals. IL-1 blockers are found with ability to control inflammation in various diseases, which effect on ARDS also was supported by retrospective cohort studies and mouse models.10 Our findings highlight IL-1 signalling and alveolar inflammatory loops as potential therapeutic targets in severe ARDS, although further validation is required. While our single-cell transcriptomic data suggest associations between alveolar immune changes and CARDS progression, direct experimental validation remains necessary. Future experiments are warranted to assess whether IL-6 or fatty acid exposure can induce IL1βhi neutrophil phenotypes in vitro, and evaluate the therapeutic impact of neutrophil depletion, IL-1 blockade, or metabolic inhibition in murine ARDS models.

Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Xiangyu Chen, Ziqi Tan, Hantian Li, Qianlin Wang, Siyi Yuan, Liangyu Mi, Yuechuan Xue, Yi Chi, Shuaishuai Yang, Yanjie Zhao: Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; Yingying Yang, Haochen Li, Peng Liu, Jinmeng Jia, Lei Wei, Longxiang Su, Yun Long: Drafting the work or reviewing it critically for important intellectual content; Longxiang Su, Yun Long: Final approval of the version to be published; Longxiang Su, Yun Long: Agreement to be accountable for all aspects of the work.

The authors declare no conflicts of interest.

All patients signed an informed consent for study enrolment. The study was supported by the Ethics Committee of Peking Union Medical College Hospital (ZS-3391).

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来源期刊
CiteScore
15.90
自引率
1.90%
发文量
450
审稿时长
4 weeks
期刊介绍: Clinical and Translational Medicine (CTM) is an international, peer-reviewed, open-access journal dedicated to accelerating the translation of preclinical research into clinical applications and fostering communication between basic and clinical scientists. It highlights the clinical potential and application of various fields including biotechnologies, biomaterials, bioengineering, biomarkers, molecular medicine, omics science, bioinformatics, immunology, molecular imaging, drug discovery, regulation, and health policy. With a focus on the bench-to-bedside approach, CTM prioritizes studies and clinical observations that generate hypotheses relevant to patients and diseases, guiding investigations in cellular and molecular medicine. The journal encourages submissions from clinicians, researchers, policymakers, and industry professionals.
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