Exploring the characteristics of gut microbiome in patients of Southern Fujian with hypocitraturia urolithiasis and constructing clinical diagnostic models
Purpose Hypocitraturia is an important cause of urolithiasis. Exploring the characteristics of the gut microbiome (GMB) of hypocitriuria urolithiasis (HCU) patients can provide new ideas for the treatment and prevention of urolithiasis. Methods The 24 h urinary citric acid excretion of 19 urolithias...
Gespeichert in:
Veröffentlicht in: | International urology and nephrology 2023-08, Vol.55 (8), p.1917-1929 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1929 |
---|---|
container_issue | 8 |
container_start_page | 1917 |
container_title | International urology and nephrology |
container_volume | 55 |
creator | Wang, Jialiang Chen, Guofeng Chen, Heyi Chen, Jiabi Su, Qingfu Zhuang, Wei |
description | Purpose
Hypocitraturia is an important cause of urolithiasis. Exploring the characteristics of the gut microbiome (GMB) of hypocitriuria urolithiasis (HCU) patients can provide new ideas for the treatment and prevention of urolithiasis.
Methods
The 24 h urinary citric acid excretion of 19 urolithiasis patients was measured, and patients were divided into the HCU group and the normal citrate urolithiasis (NCU) group. The 16 s ribosomal RNA (rRNA) was used to detect GMB composition differences and construct operational taxonomic units (OTUs) coexistence networks. The key bacterial community was determined by Lefse analysis, Metastats analysis and RandomForest analysis. Redundancy analysis (RDA) and Pearson correlation analysis visualized the correlation between key OTUs and clinical features and then established the disease diagnosis model of microbial-clinical indicators. Finally, PICRUSt2 was used to explore the metabolic pathway of related GMB in HCU patients.
Results
The alpha diversity of GMB in HCU group was increased and Beta diversity analysis suggested significant differences between HCU and NCU groups, which was related to renal function damage and urinary tract infection.
Ruminococcaceae_ge
and
Turicibacter
are the characteristic bacterial groups of HCU. Correlation analysis showed that the characteristic bacterial groups were significantly associated with various clinical features. Based on this, the diagnostic models of microbiome-clinical indicators in HCU patients were constructed with the areas under the curve (AUC) of 0.923 and 0.897, respectively. Genetic and metabolic processes of HCU are affected by changes in GMB abundance.
Conclusion
GMB disorder may be involved in the occurrence and clinical characteristics of HCU by influencing genetic and metabolic pathways. The new microbiome-clinical indicator diagnostic model is effective. |
doi_str_mv | 10.1007/s11255-023-03662-6 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2824685544</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2824685544</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-97862dd14671aa2cf7d0ec5313166543235da3a2372a13f21d85ff307f67d4223</originalsourceid><addsrcrecordid>eNp9kctu1DAYhSNERUvLC7BAltiwCfjuZImqFipVYkG7tv7azoxHiR18EfRZ-rJ4OuUiFqxs2d8557dP170m-D3BWH3IhFAhekxZj5mUtJfPuhMiFOupGPjzv_bH3cucdxjjccD4RXfMFB25wPSke7j4sc4x-bBBZeuQ2UICU1zyuXiTUZzQpha0eJPinY-LQz6gFYp3oTzefo216VJAl3XnIaDvvmzR9n6NxpcEpSYPqKY4t2MP2WcEwSITQy6pmrKPNbMP3sCMrIdNiPtctETr5nzWHU0wZ_fqaT3tbi8vbs4_99dfPl2df7zuDVOi9KMaJLWWcKkIADWTstgZwQgjUgrOKBMWGND2aCBsosQOYpoYVpNUllPKTrt3B981xW_V5aIXn42bZwgu1qzpQLkchOC8oW__QXexptCmaxTjgo3DqBpFD1T7tZyTm_Sa_ALpXhOs99XpQ3W6Vacfq9Oyid48Wde7xdnfkl9dNYAdgLzu-3LpT_Z_bH8CoeqnJg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2834539897</pqid></control><display><type>article</type><title>Exploring the characteristics of gut microbiome in patients of Southern Fujian with hypocitraturia urolithiasis and constructing clinical diagnostic models</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Wang, Jialiang ; Chen, Guofeng ; Chen, Heyi ; Chen, Jiabi ; Su, Qingfu ; Zhuang, Wei</creator><creatorcontrib>Wang, Jialiang ; Chen, Guofeng ; Chen, Heyi ; Chen, Jiabi ; Su, Qingfu ; Zhuang, Wei</creatorcontrib><description>Purpose
Hypocitraturia is an important cause of urolithiasis. Exploring the characteristics of the gut microbiome (GMB) of hypocitriuria urolithiasis (HCU) patients can provide new ideas for the treatment and prevention of urolithiasis.
Methods
The 24 h urinary citric acid excretion of 19 urolithiasis patients was measured, and patients were divided into the HCU group and the normal citrate urolithiasis (NCU) group. The 16 s ribosomal RNA (rRNA) was used to detect GMB composition differences and construct operational taxonomic units (OTUs) coexistence networks. The key bacterial community was determined by Lefse analysis, Metastats analysis and RandomForest analysis. Redundancy analysis (RDA) and Pearson correlation analysis visualized the correlation between key OTUs and clinical features and then established the disease diagnosis model of microbial-clinical indicators. Finally, PICRUSt2 was used to explore the metabolic pathway of related GMB in HCU patients.
Results
The alpha diversity of GMB in HCU group was increased and Beta diversity analysis suggested significant differences between HCU and NCU groups, which was related to renal function damage and urinary tract infection.
Ruminococcaceae_ge
and
Turicibacter
are the characteristic bacterial groups of HCU. Correlation analysis showed that the characteristic bacterial groups were significantly associated with various clinical features. Based on this, the diagnostic models of microbiome-clinical indicators in HCU patients were constructed with the areas under the curve (AUC) of 0.923 and 0.897, respectively. Genetic and metabolic processes of HCU are affected by changes in GMB abundance.
Conclusion
GMB disorder may be involved in the occurrence and clinical characteristics of HCU by influencing genetic and metabolic pathways. The new microbiome-clinical indicator diagnostic model is effective.</description><identifier>ISSN: 1573-2584</identifier><identifier>ISSN: 0301-1623</identifier><identifier>EISSN: 1573-2584</identifier><identifier>DOI: 10.1007/s11255-023-03662-6</identifier><identifier>PMID: 37294502</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Bacteria ; Bacteria - genetics ; Citrates ; Citric Acid ; Coexistence ; Correlation analysis ; Digestive system ; Gastrointestinal Microbiome - genetics ; Humans ; Intestinal microflora ; Lithiasis ; Medicine ; Medicine & Public Health ; Metabolic pathways ; Metabolism ; Microbiomes ; Microbiota ; Nephrology ; Patients ; Renal function ; rRNA ; Urinary tract ; Urinary tract diseases ; Urinary Tract Infections - complications ; Urolithiasis - complications ; Urology ; Urology - Original Paper</subject><ispartof>International urology and nephrology, 2023-08, Vol.55 (8), p.1917-1929</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-97862dd14671aa2cf7d0ec5313166543235da3a2372a13f21d85ff307f67d4223</citedby><cites>FETCH-LOGICAL-c375t-97862dd14671aa2cf7d0ec5313166543235da3a2372a13f21d85ff307f67d4223</cites><orcidid>0009-0008-9907-1576</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11255-023-03662-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11255-023-03662-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,41495,42564,51326</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37294502$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Jialiang</creatorcontrib><creatorcontrib>Chen, Guofeng</creatorcontrib><creatorcontrib>Chen, Heyi</creatorcontrib><creatorcontrib>Chen, Jiabi</creatorcontrib><creatorcontrib>Su, Qingfu</creatorcontrib><creatorcontrib>Zhuang, Wei</creatorcontrib><title>Exploring the characteristics of gut microbiome in patients of Southern Fujian with hypocitraturia urolithiasis and constructing clinical diagnostic models</title><title>International urology and nephrology</title><addtitle>Int Urol Nephrol</addtitle><addtitle>Int Urol Nephrol</addtitle><description>Purpose
Hypocitraturia is an important cause of urolithiasis. Exploring the characteristics of the gut microbiome (GMB) of hypocitriuria urolithiasis (HCU) patients can provide new ideas for the treatment and prevention of urolithiasis.
Methods
The 24 h urinary citric acid excretion of 19 urolithiasis patients was measured, and patients were divided into the HCU group and the normal citrate urolithiasis (NCU) group. The 16 s ribosomal RNA (rRNA) was used to detect GMB composition differences and construct operational taxonomic units (OTUs) coexistence networks. The key bacterial community was determined by Lefse analysis, Metastats analysis and RandomForest analysis. Redundancy analysis (RDA) and Pearson correlation analysis visualized the correlation between key OTUs and clinical features and then established the disease diagnosis model of microbial-clinical indicators. Finally, PICRUSt2 was used to explore the metabolic pathway of related GMB in HCU patients.
Results
The alpha diversity of GMB in HCU group was increased and Beta diversity analysis suggested significant differences between HCU and NCU groups, which was related to renal function damage and urinary tract infection.
Ruminococcaceae_ge
and
Turicibacter
are the characteristic bacterial groups of HCU. Correlation analysis showed that the characteristic bacterial groups were significantly associated with various clinical features. Based on this, the diagnostic models of microbiome-clinical indicators in HCU patients were constructed with the areas under the curve (AUC) of 0.923 and 0.897, respectively. Genetic and metabolic processes of HCU are affected by changes in GMB abundance.
Conclusion
GMB disorder may be involved in the occurrence and clinical characteristics of HCU by influencing genetic and metabolic pathways. The new microbiome-clinical indicator diagnostic model is effective.</description><subject>Bacteria</subject><subject>Bacteria - genetics</subject><subject>Citrates</subject><subject>Citric Acid</subject><subject>Coexistence</subject><subject>Correlation analysis</subject><subject>Digestive system</subject><subject>Gastrointestinal Microbiome - genetics</subject><subject>Humans</subject><subject>Intestinal microflora</subject><subject>Lithiasis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic pathways</subject><subject>Metabolism</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Nephrology</subject><subject>Patients</subject><subject>Renal function</subject><subject>rRNA</subject><subject>Urinary tract</subject><subject>Urinary tract diseases</subject><subject>Urinary Tract Infections - complications</subject><subject>Urolithiasis - complications</subject><subject>Urology</subject><subject>Urology - Original Paper</subject><issn>1573-2584</issn><issn>0301-1623</issn><issn>1573-2584</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kctu1DAYhSNERUvLC7BAltiwCfjuZImqFipVYkG7tv7azoxHiR18EfRZ-rJ4OuUiFqxs2d8557dP170m-D3BWH3IhFAhekxZj5mUtJfPuhMiFOupGPjzv_bH3cucdxjjccD4RXfMFB25wPSke7j4sc4x-bBBZeuQ2UICU1zyuXiTUZzQpha0eJPinY-LQz6gFYp3oTzefo216VJAl3XnIaDvvmzR9n6NxpcEpSYPqKY4t2MP2WcEwSITQy6pmrKPNbMP3sCMrIdNiPtctETr5nzWHU0wZ_fqaT3tbi8vbs4_99dfPl2df7zuDVOi9KMaJLWWcKkIADWTstgZwQgjUgrOKBMWGND2aCBsosQOYpoYVpNUllPKTrt3B981xW_V5aIXn42bZwgu1qzpQLkchOC8oW__QXexptCmaxTjgo3DqBpFD1T7tZyTm_Sa_ALpXhOs99XpQ3W6Vacfq9Oyid48Wde7xdnfkl9dNYAdgLzu-3LpT_Z_bH8CoeqnJg</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Wang, Jialiang</creator><creator>Chen, Guofeng</creator><creator>Chen, Heyi</creator><creator>Chen, Jiabi</creator><creator>Su, Qingfu</creator><creator>Zhuang, Wei</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0008-9907-1576</orcidid></search><sort><creationdate>20230801</creationdate><title>Exploring the characteristics of gut microbiome in patients of Southern Fujian with hypocitraturia urolithiasis and constructing clinical diagnostic models</title><author>Wang, Jialiang ; Chen, Guofeng ; Chen, Heyi ; Chen, Jiabi ; Su, Qingfu ; Zhuang, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-97862dd14671aa2cf7d0ec5313166543235da3a2372a13f21d85ff307f67d4223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bacteria</topic><topic>Bacteria - genetics</topic><topic>Citrates</topic><topic>Citric Acid</topic><topic>Coexistence</topic><topic>Correlation analysis</topic><topic>Digestive system</topic><topic>Gastrointestinal Microbiome - genetics</topic><topic>Humans</topic><topic>Intestinal microflora</topic><topic>Lithiasis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic pathways</topic><topic>Metabolism</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Nephrology</topic><topic>Patients</topic><topic>Renal function</topic><topic>rRNA</topic><topic>Urinary tract</topic><topic>Urinary tract diseases</topic><topic>Urinary Tract Infections - complications</topic><topic>Urolithiasis - complications</topic><topic>Urology</topic><topic>Urology - Original Paper</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jialiang</creatorcontrib><creatorcontrib>Chen, Guofeng</creatorcontrib><creatorcontrib>Chen, Heyi</creatorcontrib><creatorcontrib>Chen, Jiabi</creatorcontrib><creatorcontrib>Su, Qingfu</creatorcontrib><creatorcontrib>Zhuang, Wei</creatorcontrib><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 & Calcified Tissue Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>International urology and nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jialiang</au><au>Chen, Guofeng</au><au>Chen, Heyi</au><au>Chen, Jiabi</au><au>Su, Qingfu</au><au>Zhuang, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the characteristics of gut microbiome in patients of Southern Fujian with hypocitraturia urolithiasis and constructing clinical diagnostic models</atitle><jtitle>International urology and nephrology</jtitle><stitle>Int Urol Nephrol</stitle><addtitle>Int Urol Nephrol</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>55</volume><issue>8</issue><spage>1917</spage><epage>1929</epage><pages>1917-1929</pages><issn>1573-2584</issn><issn>0301-1623</issn><eissn>1573-2584</eissn><abstract>Purpose
Hypocitraturia is an important cause of urolithiasis. Exploring the characteristics of the gut microbiome (GMB) of hypocitriuria urolithiasis (HCU) patients can provide new ideas for the treatment and prevention of urolithiasis.
Methods
The 24 h urinary citric acid excretion of 19 urolithiasis patients was measured, and patients were divided into the HCU group and the normal citrate urolithiasis (NCU) group. The 16 s ribosomal RNA (rRNA) was used to detect GMB composition differences and construct operational taxonomic units (OTUs) coexistence networks. The key bacterial community was determined by Lefse analysis, Metastats analysis and RandomForest analysis. Redundancy analysis (RDA) and Pearson correlation analysis visualized the correlation between key OTUs and clinical features and then established the disease diagnosis model of microbial-clinical indicators. Finally, PICRUSt2 was used to explore the metabolic pathway of related GMB in HCU patients.
Results
The alpha diversity of GMB in HCU group was increased and Beta diversity analysis suggested significant differences between HCU and NCU groups, which was related to renal function damage and urinary tract infection.
Ruminococcaceae_ge
and
Turicibacter
are the characteristic bacterial groups of HCU. Correlation analysis showed that the characteristic bacterial groups were significantly associated with various clinical features. Based on this, the diagnostic models of microbiome-clinical indicators in HCU patients were constructed with the areas under the curve (AUC) of 0.923 and 0.897, respectively. Genetic and metabolic processes of HCU are affected by changes in GMB abundance.
Conclusion
GMB disorder may be involved in the occurrence and clinical characteristics of HCU by influencing genetic and metabolic pathways. The new microbiome-clinical indicator diagnostic model is effective.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>37294502</pmid><doi>10.1007/s11255-023-03662-6</doi><tpages>13</tpages><orcidid>https://orcid.org/0009-0008-9907-1576</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1573-2584 |
ispartof | International urology and nephrology, 2023-08, Vol.55 (8), p.1917-1929 |
issn | 1573-2584 0301-1623 1573-2584 |
language | eng |
recordid | cdi_proquest_miscellaneous_2824685544 |
source | MEDLINE; SpringerNature Journals |
subjects | Bacteria Bacteria - genetics Citrates Citric Acid Coexistence Correlation analysis Digestive system Gastrointestinal Microbiome - genetics Humans Intestinal microflora Lithiasis Medicine Medicine & Public Health Metabolic pathways Metabolism Microbiomes Microbiota Nephrology Patients Renal function rRNA Urinary tract Urinary tract diseases Urinary Tract Infections - complications Urolithiasis - complications Urology Urology - Original Paper |
title | Exploring the characteristics of gut microbiome in patients of Southern Fujian with hypocitraturia urolithiasis and constructing clinical diagnostic models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T06%3A41%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20the%20characteristics%20of%20gut%20microbiome%20in%20patients%20of%20Southern%20Fujian%20with%20hypocitraturia%20urolithiasis%20and%20constructing%20clinical%20diagnostic%20models&rft.jtitle=International%20urology%20and%20nephrology&rft.au=Wang,%20Jialiang&rft.date=2023-08-01&rft.volume=55&rft.issue=8&rft.spage=1917&rft.epage=1929&rft.pages=1917-1929&rft.issn=1573-2584&rft.eissn=1573-2584&rft_id=info:doi/10.1007/s11255-023-03662-6&rft_dat=%3Cproquest_cross%3E2824685544%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2834539897&rft_id=info:pmid/37294502&rfr_iscdi=true |