Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets

Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods T...
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Autor*in:	Jin, Zhuangzhuang [verfasserIn] Zhang, He Bai, Lunhao Yue, Lingyu Zhang, Weiming Liang, Jiajian Chang, Bohan Yang, Yue Hu, Zhehan Chen, Liang Guo, Chuanji

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Bioinformatics analysis Iron overload Osteoarthritis Single-cell RNA-seq analysis Synovium Validation experiments

Anmerkung:	© The Author(s) 2023

Übergeordnetes Werk:	Enthalten in: Journal of translational medicine - London : BioMed Central, 2003, 21(2023), 1 vom: 23. Sept.
Übergeordnetes Werk:	volume:21 ; year:2023 ; number:1 ; day:23 ; month:09

Links:	Volltext

DOI / URN:	10.1186/s12967-023-04541-5

Katalog-ID:	SPR053176340

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520			\|a Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis.
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allfields	10.1186/s12967-023-04541-5 doi (DE-627)SPR053176340 (SPR)s12967-023-04541-5-e DE-627 ger DE-627 rakwb eng Jin, Zhuangzhuang verfasserin aut Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. Bioinformatics analysis (dpeaa)DE-He213 Iron overload (dpeaa)DE-He213 Osteoarthritis (dpeaa)DE-He213 Single-cell RNA-seq analysis (dpeaa)DE-He213 Synovium (dpeaa)DE-He213 Validation experiments (dpeaa)DE-He213 Zhang, He aut Bai, Lunhao aut Yue, Lingyu aut Zhang, Weiming aut Liang, Jiajian aut Chang, Bohan aut Yang, Yue aut Hu, Zhehan aut Chen, Liang aut Guo, Chuanji aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 21(2023), 1 vom: 23. Sept. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:21 year:2023 number:1 day:23 month:09 https://dx.doi.org/10.1186/s12967-023-04541-5 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 21 2023 1 23 09
spelling	10.1186/s12967-023-04541-5 doi (DE-627)SPR053176340 (SPR)s12967-023-04541-5-e DE-627 ger DE-627 rakwb eng Jin, Zhuangzhuang verfasserin aut Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. Bioinformatics analysis (dpeaa)DE-He213 Iron overload (dpeaa)DE-He213 Osteoarthritis (dpeaa)DE-He213 Single-cell RNA-seq analysis (dpeaa)DE-He213 Synovium (dpeaa)DE-He213 Validation experiments (dpeaa)DE-He213 Zhang, He aut Bai, Lunhao aut Yue, Lingyu aut Zhang, Weiming aut Liang, Jiajian aut Chang, Bohan aut Yang, Yue aut Hu, Zhehan aut Chen, Liang aut Guo, Chuanji aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 21(2023), 1 vom: 23. Sept. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:21 year:2023 number:1 day:23 month:09 https://dx.doi.org/10.1186/s12967-023-04541-5 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 21 2023 1 23 09
allfields_unstemmed	10.1186/s12967-023-04541-5 doi (DE-627)SPR053176340 (SPR)s12967-023-04541-5-e DE-627 ger DE-627 rakwb eng Jin, Zhuangzhuang verfasserin aut Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. Bioinformatics analysis (dpeaa)DE-He213 Iron overload (dpeaa)DE-He213 Osteoarthritis (dpeaa)DE-He213 Single-cell RNA-seq analysis (dpeaa)DE-He213 Synovium (dpeaa)DE-He213 Validation experiments (dpeaa)DE-He213 Zhang, He aut Bai, Lunhao aut Yue, Lingyu aut Zhang, Weiming aut Liang, Jiajian aut Chang, Bohan aut Yang, Yue aut Hu, Zhehan aut Chen, Liang aut Guo, Chuanji aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 21(2023), 1 vom: 23. Sept. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:21 year:2023 number:1 day:23 month:09 https://dx.doi.org/10.1186/s12967-023-04541-5 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 21 2023 1 23 09
allfieldsGer	10.1186/s12967-023-04541-5 doi (DE-627)SPR053176340 (SPR)s12967-023-04541-5-e DE-627 ger DE-627 rakwb eng Jin, Zhuangzhuang verfasserin aut Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. Bioinformatics analysis (dpeaa)DE-He213 Iron overload (dpeaa)DE-He213 Osteoarthritis (dpeaa)DE-He213 Single-cell RNA-seq analysis (dpeaa)DE-He213 Synovium (dpeaa)DE-He213 Validation experiments (dpeaa)DE-He213 Zhang, He aut Bai, Lunhao aut Yue, Lingyu aut Zhang, Weiming aut Liang, Jiajian aut Chang, Bohan aut Yang, Yue aut Hu, Zhehan aut Chen, Liang aut Guo, Chuanji aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 21(2023), 1 vom: 23. Sept. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:21 year:2023 number:1 day:23 month:09 https://dx.doi.org/10.1186/s12967-023-04541-5 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 21 2023 1 23 09
allfieldsSound	10.1186/s12967-023-04541-5 doi (DE-627)SPR053176340 (SPR)s12967-023-04541-5-e DE-627 ger DE-627 rakwb eng Jin, Zhuangzhuang verfasserin aut Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. Bioinformatics analysis (dpeaa)DE-He213 Iron overload (dpeaa)DE-He213 Osteoarthritis (dpeaa)DE-He213 Single-cell RNA-seq analysis (dpeaa)DE-He213 Synovium (dpeaa)DE-He213 Validation experiments (dpeaa)DE-He213 Zhang, He aut Bai, Lunhao aut Yue, Lingyu aut Zhang, Weiming aut Liang, Jiajian aut Chang, Bohan aut Yang, Yue aut Hu, Zhehan aut Chen, Liang aut Guo, Chuanji aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 21(2023), 1 vom: 23. Sept. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:21 year:2023 number:1 day:23 month:09 https://dx.doi.org/10.1186/s12967-023-04541-5 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 21 2023 1 23 09
language	English
source	Enthalten in Journal of translational medicine 21(2023), 1 vom: 23. Sept. volume:21 year:2023 number:1 day:23 month:09
sourceStr	Enthalten in Journal of translational medicine 21(2023), 1 vom: 23. Sept. volume:21 year:2023 number:1 day:23 month:09
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institution	findex.gbv.de
topic_facet	Bioinformatics analysis Iron overload Osteoarthritis Single-cell RNA-seq analysis Synovium Validation experiments
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container_title	Journal of translational medicine
authorswithroles_txt_mv	Jin, Zhuangzhuang @@aut@@ Zhang, He @@aut@@ Bai, Lunhao @@aut@@ Yue, Lingyu @@aut@@ Zhang, Weiming @@aut@@ Liang, Jiajian @@aut@@ Chang, Bohan @@aut@@ Yang, Yue @@aut@@ Hu, Zhehan @@aut@@ Chen, Liang @@aut@@ Guo, Chuanji @@aut@@
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author	Jin, Zhuangzhuang
spellingShingle	Jin, Zhuangzhuang misc Bioinformatics analysis misc Iron overload misc Osteoarthritis misc Single-cell RNA-seq analysis misc Synovium misc Validation experiments Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets
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issn	1479-5876
topic_title	Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets Bioinformatics analysis (dpeaa)DE-He213 Iron overload (dpeaa)DE-He213 Osteoarthritis (dpeaa)DE-He213 Single-cell RNA-seq analysis (dpeaa)DE-He213 Synovium (dpeaa)DE-He213 Validation experiments (dpeaa)DE-He213
topic	misc Bioinformatics analysis misc Iron overload misc Osteoarthritis misc Single-cell RNA-seq analysis misc Synovium misc Validation experiments
topic_unstemmed	misc Bioinformatics analysis misc Iron overload misc Osteoarthritis misc Single-cell RNA-seq analysis misc Synovium misc Validation experiments
topic_browse	misc Bioinformatics analysis misc Iron overload misc Osteoarthritis misc Single-cell RNA-seq analysis misc Synovium misc Validation experiments
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title	Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets
ctrlnum	(DE-627)SPR053176340 (SPR)s12967-023-04541-5-e
title_full	Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets
author_sort	Jin, Zhuangzhuang
journal	Journal of translational medicine
journalStr	Journal of translational medicine
lang_code	eng
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author_browse	Jin, Zhuangzhuang Zhang, He Bai, Lunhao Yue, Lingyu Zhang, Weiming Liang, Jiajian Chang, Bohan Yang, Yue Hu, Zhehan Chen, Liang Guo, Chuanji
container_volume	21
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author-letter	Jin, Zhuangzhuang
doi_str_mv	10.1186/s12967-023-04541-5
title_sort	synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets
title_auth	Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets
abstract	Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. © The Author(s) 2023
abstractGer	Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. © The Author(s) 2023
abstract_unstemmed	Background The prevention and treatment of osteoarthritis (OA) pose a major challenge in its research. The synovium is a critical tissue in the systematic treatment of OA. The present study aimed to investigate potential target genes and their correlation with iron overload in OA patients. Methods The internal datasets for analysis included the microarray datasets GSE46750, GSE55457, and GSE56409, while the external datasets for validation included GSE12021 and GSE55235. The GSE176308 dataset was used to generate single-cell RNA sequencing profiles. To investigate the expression of the target genes in synovial samples, quantitative reverse transcription-PCR, western blotting, and immunohistochemical assay were conducted. ELISA was used to detect the levels of ferritin and $ Fe^{2+} $ in both serum and synovium. Results JUN and ZFP36 were screened from the differentially expressed genes, and their mRNA were significantly reduced in the OA synovium compared to that in normal synovium. Subsequently, complex and dynamically evolving cellular components were observed in the OA synovium. The mRNA level of JUN and ZFP36 differed across various cell clusters of OA synovium and correlated with immune cell infiltration. Moreover, ferritin and $ Fe^{2+} $ were significantly increased in the serum and synovium of OA patients. Further, we found that JUN elevated and ZFP36 decreased at protein level. Conclusions The synovium is a sensitive tissue for mapping the adverse effects of systemic iron overload in OA. JUN and ZFP36 represent potential target genes for attenuating iron overload during OA treatment. Some discrepancies between the transcription and protein levels of JUN suggest that post-transcriptional modifications may be implicated. Future studies should also focus on the roles of JUN and ZFP36 in inducing changes in cellular components in the synovium during OA pathogenesis. © The Author(s) 2023
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container_issue	1
title_short	Synovium is a sensitive tissue for mapping the negative effects of systemic iron overload in osteoarthritis: identification and validation of two potential targets
url	https://dx.doi.org/10.1186/s12967-023-04541-5
remote_bool	true
author2	Zhang, He Bai, Lunhao Yue, Lingyu Zhang, Weiming Liang, Jiajian Chang, Bohan Yang, Yue Hu, Zhehan Chen, Liang Guo, Chuanji
author2Str	Zhang, He Bai, Lunhao Yue, Lingyu Zhang, Weiming Liang, Jiajian Chang, Bohan Yang, Yue Hu, Zhehan Chen, Liang Guo, Chuanji
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up_date	2024-07-03T17:37:13.798Z
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