Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus

Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analy...
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Autor*in:	Li, Huiyan [verfasserIn] Yang, Pingting

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Autoimmune disease Systemic lupus erythematosus Biomarker Immunotherapy

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: BMC medical genomics - London : BioMed Central, 2008, 15(2022), 1 vom: 20. Juli
Übergeordnetes Werk:	volume:15 ; year:2022 ; number:1 ; day:20 ; month:07

Links:	Volltext

DOI / URN:	10.1186/s12920-022-01306-9

Katalog-ID:	SPR050869558

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520			\|a Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases.
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allfields	10.1186/s12920-022-01306-9 doi (DE-627)SPR050869558 (SPR)s12920-022-01306-9-e DE-627 ger DE-627 rakwb eng Li, Huiyan verfasserin aut Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. Autoimmune disease (dpeaa)DE-He213 Systemic lupus erythematosus (dpeaa)DE-He213 Biomarker (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Yang, Pingting aut Enthalten in BMC medical genomics London : BioMed Central, 2008 15(2022), 1 vom: 20. Juli (DE-627)559080824 (DE-600)2411865-5 1755-8794 nnns volume:15 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12920-022-01306-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2022 1 20 07
spelling	10.1186/s12920-022-01306-9 doi (DE-627)SPR050869558 (SPR)s12920-022-01306-9-e DE-627 ger DE-627 rakwb eng Li, Huiyan verfasserin aut Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. Autoimmune disease (dpeaa)DE-He213 Systemic lupus erythematosus (dpeaa)DE-He213 Biomarker (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Yang, Pingting aut Enthalten in BMC medical genomics London : BioMed Central, 2008 15(2022), 1 vom: 20. Juli (DE-627)559080824 (DE-600)2411865-5 1755-8794 nnns volume:15 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12920-022-01306-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2022 1 20 07
allfields_unstemmed	10.1186/s12920-022-01306-9 doi (DE-627)SPR050869558 (SPR)s12920-022-01306-9-e DE-627 ger DE-627 rakwb eng Li, Huiyan verfasserin aut Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. Autoimmune disease (dpeaa)DE-He213 Systemic lupus erythematosus (dpeaa)DE-He213 Biomarker (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Yang, Pingting aut Enthalten in BMC medical genomics London : BioMed Central, 2008 15(2022), 1 vom: 20. Juli (DE-627)559080824 (DE-600)2411865-5 1755-8794 nnns volume:15 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12920-022-01306-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2022 1 20 07
allfieldsGer	10.1186/s12920-022-01306-9 doi (DE-627)SPR050869558 (SPR)s12920-022-01306-9-e DE-627 ger DE-627 rakwb eng Li, Huiyan verfasserin aut Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. Autoimmune disease (dpeaa)DE-He213 Systemic lupus erythematosus (dpeaa)DE-He213 Biomarker (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Yang, Pingting aut Enthalten in BMC medical genomics London : BioMed Central, 2008 15(2022), 1 vom: 20. Juli (DE-627)559080824 (DE-600)2411865-5 1755-8794 nnns volume:15 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12920-022-01306-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2022 1 20 07
allfieldsSound	10.1186/s12920-022-01306-9 doi (DE-627)SPR050869558 (SPR)s12920-022-01306-9-e DE-627 ger DE-627 rakwb eng Li, Huiyan verfasserin aut Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. Autoimmune disease (dpeaa)DE-He213 Systemic lupus erythematosus (dpeaa)DE-He213 Biomarker (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Yang, Pingting aut Enthalten in BMC medical genomics London : BioMed Central, 2008 15(2022), 1 vom: 20. Juli (DE-627)559080824 (DE-600)2411865-5 1755-8794 nnns volume:15 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12920-022-01306-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2022 1 20 07
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source	Enthalten in BMC medical genomics 15(2022), 1 vom: 20. Juli volume:15 year:2022 number:1 day:20 month:07
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author	Li, Huiyan
spellingShingle	Li, Huiyan misc Autoimmune disease misc Systemic lupus erythematosus misc Biomarker misc Immunotherapy Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus
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topic_title	Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus Autoimmune disease (dpeaa)DE-He213 Systemic lupus erythematosus (dpeaa)DE-He213 Biomarker (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213
topic	misc Autoimmune disease misc Systemic lupus erythematosus misc Biomarker misc Immunotherapy
topic_unstemmed	misc Autoimmune disease misc Systemic lupus erythematosus misc Biomarker misc Immunotherapy
topic_browse	misc Autoimmune disease misc Systemic lupus erythematosus misc Biomarker misc Immunotherapy
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title	Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus
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title_full	Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus
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author_browse	Li, Huiyan Yang, Pingting
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title_sort	identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus
title_auth	Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus
abstract	Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. © The Author(s) 2022
abstractGer	Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. © The Author(s) 2022
abstract_unstemmed	Background Systemic lupus erythematosus (SLE), an autoimmune disease with complex pathogenesis, poses a considerable threat to women’s health. Increasing evidence indicates that neutrophils play an important role in the development and progression of lupus. Methods Weighted correlation network analysis and single-sample gene set enrichment analysis (GSEA) were used to analyse SLE expression data from a comprehensive gene expression database and identify modules associated with neutrophils. Thereafter, the biomarkers most closely related to neutrophils were identified. We reclassified SLE into two molecular subtypes based on the aforementioned biomarkers and evaluated cell infiltration, molecular mechanisms, and signature pathways in each subtype. Results The results showed significant differences in immunological characteristics between the two molecular subtypes of SLE. Hub genes were significantly upregulated in the NEUT-H subtype, and they may be associated with lupus activity. The GSEA revealed associations between our biomarkers and key metabolic pathways. Conclusions Our study provides not only a classification for patients with SLE but also new cell and gene targets for immunotherapy, as well as a new experimental paradigm to explore immunotherapy for other autoimmune diseases. © The Author(s) 2022
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title_short	Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus
url	https://dx.doi.org/10.1186/s12920-022-01306-9
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up_date	2024-07-03T18:18:43.994Z
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Identification of biomarkers related to neutrophils and two molecular subtypes of systemic lupus erythematosus

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