Lower expression of Hsa_circRNA_102682 in diabetic hyperhomocysteinemia negatively related to creatinemia is associated with TGF‐β and CTGF

Background Diabetic nephropathy is a kidney disease caused by long‐term hyperglycemia. Hsa_circRNA_102682 is related to the pathogenesis of preeclampsia. Preeclampsia is related to hypertension and proteinuria, and diabetic nephropathy is mainly manifested by hypertension and proteinuria. The main p...

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Veröffentlicht in:Journal of clinical laboratory analysis 2021-08, Vol.35 (8), p.e23860-n/a, Article 23860
Hauptverfasser: Hu, Fei, Sha, Wenxin, Dai, Huixue, Yang, Xiangwei, Hu, Peng, Chu, Yudong, Qiu, Xiaohui, Bu, Shizhong
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container_issue 8
container_start_page e23860
container_title Journal of clinical laboratory analysis
container_volume 35
creator Hu, Fei
Sha, Wenxin
Dai, Huixue
Yang, Xiangwei
Hu, Peng
Chu, Yudong
Qiu, Xiaohui
Bu, Shizhong
description Background Diabetic nephropathy is a kidney disease caused by long‐term hyperglycemia. Hsa_circRNA_102682 is related to the pathogenesis of preeclampsia. Preeclampsia is related to hypertension and proteinuria, and diabetic nephropathy is mainly manifested by hypertension and proteinuria. The main pathological change in diabetic nephropathy is glomerular fibrosis. Methods This study used serum samples of patients treated at Li Huili Eastern Hospital, Ningbo, China, from July 10, 2018 to February 15, 2019. We included 73 patients with diabetes and divided them into a normal‐homocysteine group and a high‐homocysteine group. We selected used quantitative reverse transcriptase‐polymerase chain reaction to measure Hsa_circRNA_102682 concentration in the serum. Serum transforming growth factor‐beta and connective tissue growth factor levels were tested using ELISA. The Pearson correlation test was used to assess the correlations between Hsa_circRNA_102682, transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Result Hsa_circRNA_102682 was significantly lower in diabetic patients with high levels of homocysteine than in those with normal levels of homocysteine, whereas transforming growth factor‐beta and connective tissue growth factor levels were higher in diabetic patients with hyperhomocysteinemia. Hsa_circRNA_102682 was negatively correlated with the levels of transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Transforming growth factor‐beta and connective tissue growth factor were both positively correlated with homocysteine and creatinine. Conclusion Low Hsa_circRNA_102682 was associated with high levels of transforming growth factor‐beta and connective tissue growth factor as well as homocysteine and creatinine. These results suggest that Hsa_circRNA_102682 might be related to the pathogenesis of hyperhomocysteinemia in diabetic nephropathy. Serum levels of Hsa_circRNA_102682 in diabetic patients with normal Hcy (Normal; n = 30) and high Hcy (High; n = 43).
doi_str_mv 10.1002/jcla.23860
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Hsa_circRNA_102682 is related to the pathogenesis of preeclampsia. Preeclampsia is related to hypertension and proteinuria, and diabetic nephropathy is mainly manifested by hypertension and proteinuria. The main pathological change in diabetic nephropathy is glomerular fibrosis. Methods This study used serum samples of patients treated at Li Huili Eastern Hospital, Ningbo, China, from July 10, 2018 to February 15, 2019. We included 73 patients with diabetes and divided them into a normal‐homocysteine group and a high‐homocysteine group. We selected used quantitative reverse transcriptase‐polymerase chain reaction to measure Hsa_circRNA_102682 concentration in the serum. Serum transforming growth factor‐beta and connective tissue growth factor levels were tested using ELISA. The Pearson correlation test was used to assess the correlations between Hsa_circRNA_102682, transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Result Hsa_circRNA_102682 was significantly lower in diabetic patients with high levels of homocysteine than in those with normal levels of homocysteine, whereas transforming growth factor‐beta and connective tissue growth factor levels were higher in diabetic patients with hyperhomocysteinemia. Hsa_circRNA_102682 was negatively correlated with the levels of transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Transforming growth factor‐beta and connective tissue growth factor were both positively correlated with homocysteine and creatinine. Conclusion Low Hsa_circRNA_102682 was associated with high levels of transforming growth factor‐beta and connective tissue growth factor as well as homocysteine and creatinine. These results suggest that Hsa_circRNA_102682 might be related to the pathogenesis of hyperhomocysteinemia in diabetic nephropathy. Serum levels of Hsa_circRNA_102682 in diabetic patients with normal Hcy (Normal; n = 30) and high Hcy (High; n = 43).</description><identifier>ISSN: 0887-8013</identifier><identifier>EISSN: 1098-2825</identifier><identifier>DOI: 10.1002/jcla.23860</identifier><identifier>PMID: 34296783</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>Alzheimer's disease ; Biomarkers ; Blood pressure ; Body mass index ; circular RNA ; Connective tissue growth factor ; Connective Tissue Growth Factor - blood ; Connective tissues ; Correlation analysis ; Creatinine ; Creatinine - blood ; CTGF ; Diabetes ; Diabetes mellitus ; Diabetic Nephropathies - blood ; Diabetic Nephropathies - diagnosis ; Diabetic Nephropathies - genetics ; Diabetic nephropathy ; Fibrosis ; Gene Expression Regulation ; Glucose ; Growth factors ; Hemoglobin ; Homocysteine ; Homocysteine - blood ; Homocysteine - genetics ; Hospitals ; Hsa_circRNA_102682 ; Humans ; Hyperglycemia ; Hyperhomocysteinemia ; Hyperhomocysteinemia - blood ; Hyperhomocysteinemia - genetics ; Hypertension ; Kidney diseases ; Life Sciences &amp; Biomedicine ; Lipoproteins ; Medical Laboratory Technology ; Middle Aged ; Nephropathy ; Normal distribution ; Patients ; Peptides ; Polymerase chain reaction ; Pre-eclampsia ; Proteinuria ; RNA, Circular - blood ; RNA-directed DNA polymerase ; ROC Curve ; Science &amp; Technology ; TGF‐β ; Transforming Growth Factor beta - blood ; Transforming growth factor-b ; Urine</subject><ispartof>Journal of clinical laboratory analysis, 2021-08, Vol.35 (8), p.e23860-n/a, Article 23860</ispartof><rights>2021 The Authors. published by Wiley Periodicals LLC</rights><rights>2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000676118100001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c4480-f6e263d82353ab001cc6e093d14a34f3299f83e1fad68eefe522f9764d44f703</citedby><cites>FETCH-LOGICAL-c4480-f6e263d82353ab001cc6e093d14a34f3299f83e1fad68eefe522f9764d44f703</cites><orcidid>0000-0001-5196-6030</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373364/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373364/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,1418,2115,11567,27929,27930,39263,45579,45580,46057,46481,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34296783$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Fei</creatorcontrib><creatorcontrib>Sha, Wenxin</creatorcontrib><creatorcontrib>Dai, Huixue</creatorcontrib><creatorcontrib>Yang, Xiangwei</creatorcontrib><creatorcontrib>Hu, Peng</creatorcontrib><creatorcontrib>Chu, Yudong</creatorcontrib><creatorcontrib>Qiu, Xiaohui</creatorcontrib><creatorcontrib>Bu, Shizhong</creatorcontrib><title>Lower expression of Hsa_circRNA_102682 in diabetic hyperhomocysteinemia negatively related to creatinemia is associated with TGF‐β and CTGF</title><title>Journal of clinical laboratory analysis</title><addtitle>J CLIN LAB ANAL</addtitle><addtitle>J Clin Lab Anal</addtitle><description>Background Diabetic nephropathy is a kidney disease caused by long‐term hyperglycemia. Hsa_circRNA_102682 is related to the pathogenesis of preeclampsia. Preeclampsia is related to hypertension and proteinuria, and diabetic nephropathy is mainly manifested by hypertension and proteinuria. The main pathological change in diabetic nephropathy is glomerular fibrosis. Methods This study used serum samples of patients treated at Li Huili Eastern Hospital, Ningbo, China, from July 10, 2018 to February 15, 2019. We included 73 patients with diabetes and divided them into a normal‐homocysteine group and a high‐homocysteine group. We selected used quantitative reverse transcriptase‐polymerase chain reaction to measure Hsa_circRNA_102682 concentration in the serum. Serum transforming growth factor‐beta and connective tissue growth factor levels were tested using ELISA. The Pearson correlation test was used to assess the correlations between Hsa_circRNA_102682, transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Result Hsa_circRNA_102682 was significantly lower in diabetic patients with high levels of homocysteine than in those with normal levels of homocysteine, whereas transforming growth factor‐beta and connective tissue growth factor levels were higher in diabetic patients with hyperhomocysteinemia. Hsa_circRNA_102682 was negatively correlated with the levels of transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Transforming growth factor‐beta and connective tissue growth factor were both positively correlated with homocysteine and creatinine. Conclusion Low Hsa_circRNA_102682 was associated with high levels of transforming growth factor‐beta and connective tissue growth factor as well as homocysteine and creatinine. These results suggest that Hsa_circRNA_102682 might be related to the pathogenesis of hyperhomocysteinemia in diabetic nephropathy. Serum levels of Hsa_circRNA_102682 in diabetic patients with normal Hcy (Normal; n = 30) and high Hcy (High; n = 43).</description><subject>Alzheimer's disease</subject><subject>Biomarkers</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>circular RNA</subject><subject>Connective tissue growth factor</subject><subject>Connective Tissue Growth Factor - blood</subject><subject>Connective tissues</subject><subject>Correlation analysis</subject><subject>Creatinine</subject><subject>Creatinine - blood</subject><subject>CTGF</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetic Nephropathies - blood</subject><subject>Diabetic Nephropathies - diagnosis</subject><subject>Diabetic Nephropathies - genetics</subject><subject>Diabetic nephropathy</subject><subject>Fibrosis</subject><subject>Gene Expression Regulation</subject><subject>Glucose</subject><subject>Growth factors</subject><subject>Hemoglobin</subject><subject>Homocysteine</subject><subject>Homocysteine - blood</subject><subject>Homocysteine - genetics</subject><subject>Hospitals</subject><subject>Hsa_circRNA_102682</subject><subject>Humans</subject><subject>Hyperglycemia</subject><subject>Hyperhomocysteinemia</subject><subject>Hyperhomocysteinemia - blood</subject><subject>Hyperhomocysteinemia - genetics</subject><subject>Hypertension</subject><subject>Kidney diseases</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Lipoproteins</subject><subject>Medical Laboratory Technology</subject><subject>Middle Aged</subject><subject>Nephropathy</subject><subject>Normal distribution</subject><subject>Patients</subject><subject>Peptides</subject><subject>Polymerase chain reaction</subject><subject>Pre-eclampsia</subject><subject>Proteinuria</subject><subject>RNA, Circular - blood</subject><subject>RNA-directed DNA polymerase</subject><subject>ROC Curve</subject><subject>Science &amp; Technology</subject><subject>TGF‐β</subject><subject>Transforming Growth Factor beta - blood</subject><subject>Transforming growth factor-b</subject><subject>Urine</subject><issn>0887-8013</issn><issn>1098-2825</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNks2O0zAUhSMEYsrAhgdAltigQRn8kzjOBqmK5gdUgYS6t1zneuoqsYudTOmOJ0A8Cw_CQ_AkuNNSAQvEyrLvd8899nGWPSX4nGBMX610p84pExzfyyYE1yKngpb3swkWosoFJuwkexTjCmMsasIfZiesoDWvBJtkX2Z-AwHBp3WAGK13yBt0HZXUNugP76aSYMoFRdah1qoFDFaj5XYNYel7r7dxAOugtwo5uFGDvYVuiwJ0aoAWDR7pAOl0T9iIVIxe27vixg5LNL-6_PH56_dvSLkWNWn3OHtgVBfhyWE9zeaXF_PmOp-9v3rTTGe5LgqBc8OBctYKykqmFhgTrTngmrWkUKwwjNa1EQyIUS0XAAZKSk1d8aItClNhdpq93suux0UPrQY3BNXJdbC9ClvplZV_Vpxdyht_KwWrGONFEnhxEAj-4whxkL2NGrpOOfBjlLQsS0JYUe9mPf8LXfkxuHS7RHFKBSvpTvBsT-ngYwxgjmYIlruU5S5leZdygp_9bv-I_oo1AWIPbGDhTdQWnIYjlv4BrzghIummt2vskDLyrvGjG1Lry_9vTTQ50LaD7T88y7fNbLp3_xOYC9XW</recordid><startdate>202108</startdate><enddate>202108</enddate><creator>Hu, Fei</creator><creator>Sha, Wenxin</creator><creator>Dai, Huixue</creator><creator>Yang, Xiangwei</creator><creator>Hu, Peng</creator><creator>Chu, Yudong</creator><creator>Qiu, Xiaohui</creator><creator>Bu, Shizhong</creator><general>Wiley</general><general>John Wiley &amp; 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Sha, Wenxin ; Dai, Huixue ; Yang, Xiangwei ; Hu, Peng ; Chu, Yudong ; Qiu, Xiaohui ; Bu, Shizhong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4480-f6e263d82353ab001cc6e093d14a34f3299f83e1fad68eefe522f9764d44f703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alzheimer's disease</topic><topic>Biomarkers</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>circular RNA</topic><topic>Connective tissue growth factor</topic><topic>Connective Tissue Growth Factor - blood</topic><topic>Connective tissues</topic><topic>Correlation analysis</topic><topic>Creatinine</topic><topic>Creatinine - blood</topic><topic>CTGF</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetic Nephropathies - blood</topic><topic>Diabetic Nephropathies - diagnosis</topic><topic>Diabetic Nephropathies - genetics</topic><topic>Diabetic nephropathy</topic><topic>Fibrosis</topic><topic>Gene Expression Regulation</topic><topic>Glucose</topic><topic>Growth factors</topic><topic>Hemoglobin</topic><topic>Homocysteine</topic><topic>Homocysteine - blood</topic><topic>Homocysteine - genetics</topic><topic>Hospitals</topic><topic>Hsa_circRNA_102682</topic><topic>Humans</topic><topic>Hyperglycemia</topic><topic>Hyperhomocysteinemia</topic><topic>Hyperhomocysteinemia - blood</topic><topic>Hyperhomocysteinemia - genetics</topic><topic>Hypertension</topic><topic>Kidney diseases</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Lipoproteins</topic><topic>Medical Laboratory Technology</topic><topic>Middle Aged</topic><topic>Nephropathy</topic><topic>Normal distribution</topic><topic>Patients</topic><topic>Peptides</topic><topic>Polymerase chain reaction</topic><topic>Pre-eclampsia</topic><topic>Proteinuria</topic><topic>RNA, Circular - blood</topic><topic>RNA-directed DNA polymerase</topic><topic>ROC Curve</topic><topic>Science &amp; Technology</topic><topic>TGF‐β</topic><topic>Transforming Growth Factor beta - blood</topic><topic>Transforming growth factor-b</topic><topic>Urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Fei</creatorcontrib><creatorcontrib>Sha, Wenxin</creatorcontrib><creatorcontrib>Dai, Huixue</creatorcontrib><creatorcontrib>Yang, Xiangwei</creatorcontrib><creatorcontrib>Hu, Peng</creatorcontrib><creatorcontrib>Chu, Yudong</creatorcontrib><creatorcontrib>Qiu, Xiaohui</creatorcontrib><creatorcontrib>Bu, Shizhong</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; 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Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical laboratory analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Fei</au><au>Sha, Wenxin</au><au>Dai, Huixue</au><au>Yang, Xiangwei</au><au>Hu, Peng</au><au>Chu, Yudong</au><au>Qiu, Xiaohui</au><au>Bu, Shizhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lower expression of Hsa_circRNA_102682 in diabetic hyperhomocysteinemia negatively related to creatinemia is associated with TGF‐β and CTGF</atitle><jtitle>Journal of clinical laboratory analysis</jtitle><stitle>J CLIN LAB ANAL</stitle><addtitle>J Clin Lab Anal</addtitle><date>2021-08</date><risdate>2021</risdate><volume>35</volume><issue>8</issue><spage>e23860</spage><epage>n/a</epage><pages>e23860-n/a</pages><artnum>23860</artnum><issn>0887-8013</issn><eissn>1098-2825</eissn><abstract>Background Diabetic nephropathy is a kidney disease caused by long‐term hyperglycemia. Hsa_circRNA_102682 is related to the pathogenesis of preeclampsia. Preeclampsia is related to hypertension and proteinuria, and diabetic nephropathy is mainly manifested by hypertension and proteinuria. The main pathological change in diabetic nephropathy is glomerular fibrosis. Methods This study used serum samples of patients treated at Li Huili Eastern Hospital, Ningbo, China, from July 10, 2018 to February 15, 2019. We included 73 patients with diabetes and divided them into a normal‐homocysteine group and a high‐homocysteine group. We selected used quantitative reverse transcriptase‐polymerase chain reaction to measure Hsa_circRNA_102682 concentration in the serum. Serum transforming growth factor‐beta and connective tissue growth factor levels were tested using ELISA. The Pearson correlation test was used to assess the correlations between Hsa_circRNA_102682, transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Result Hsa_circRNA_102682 was significantly lower in diabetic patients with high levels of homocysteine than in those with normal levels of homocysteine, whereas transforming growth factor‐beta and connective tissue growth factor levels were higher in diabetic patients with hyperhomocysteinemia. Hsa_circRNA_102682 was negatively correlated with the levels of transforming growth factor‐beta, connective tissue growth factor, homocysteine, and creatinine. Transforming growth factor‐beta and connective tissue growth factor were both positively correlated with homocysteine and creatinine. Conclusion Low Hsa_circRNA_102682 was associated with high levels of transforming growth factor‐beta and connective tissue growth factor as well as homocysteine and creatinine. These results suggest that Hsa_circRNA_102682 might be related to the pathogenesis of hyperhomocysteinemia in diabetic nephropathy. Serum levels of Hsa_circRNA_102682 in diabetic patients with normal Hcy (Normal; n = 30) and high Hcy (High; n = 43).</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><pmid>34296783</pmid><doi>10.1002/jcla.23860</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5196-6030</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alzheimer's disease
Biomarkers
Blood pressure
Body mass index
circular RNA
Connective tissue growth factor
Connective Tissue Growth Factor - blood
Connective tissues
Correlation analysis
Creatinine
Creatinine - blood
CTGF
Diabetes
Diabetes mellitus
Diabetic Nephropathies - blood
Diabetic Nephropathies - diagnosis
Diabetic Nephropathies - genetics
Diabetic nephropathy
Fibrosis
Gene Expression Regulation
Glucose
Growth factors
Hemoglobin
Homocysteine
Homocysteine - blood
Homocysteine - genetics
Hospitals
Hsa_circRNA_102682
Humans
Hyperglycemia
Hyperhomocysteinemia
Hyperhomocysteinemia - blood
Hyperhomocysteinemia - genetics
Hypertension
Kidney diseases
Life Sciences & Biomedicine
Lipoproteins
Medical Laboratory Technology
Middle Aged
Nephropathy
Normal distribution
Patients
Peptides
Polymerase chain reaction
Pre-eclampsia
Proteinuria
RNA, Circular - blood
RNA-directed DNA polymerase
ROC Curve
Science & Technology
TGF‐β
Transforming Growth Factor beta - blood
Transforming growth factor-b
Urine
title Lower expression of Hsa_circRNA_102682 in diabetic hyperhomocysteinemia negatively related to creatinemia is associated with TGF‐β and CTGF
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