Assessment of urine metabolite biomarkers for the detection of S. haematobium infection in pre-school aged children in a rural community in Zimbabwe
•Haematuria and proteinuria are associated with S. haematobium infection.•Diagnostic performance is moderately good for haematuria biomarker.•Urine metabolite biomarkers can be used in the screening phase. Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The curre...
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| Veröffentlicht in: | Acta tropica 2024-10, Vol.258, p.107327, Article 107327 |
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| creator | Midzi, Herald Naicker, Thajasvarie Vengesai, Arthur Mabaya, Lucy Muchesa, Petros Mduluza-Jokonya, Tariro L. Katerere, Aaron Garikai Kapanga, Donald Kasambala, Maritha Mutapi, Francisca Mduluza, Takafira |
| description | •Haematuria and proteinuria are associated with S. haematobium infection.•Diagnostic performance is moderately good for haematuria biomarker.•Urine metabolite biomarkers can be used in the screening phase.
Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The current gold standard microscopic examination techniques lack sensitivity in detecting light Schistosomiasis infections in pre-school aged children thus it is urgent to develop diagnostic tools that may be integrated into control programs. In this study, we evaluated the diagnostic performance of urine metabolite biomarkers using a chemical reagent strip in the detection of S. haematobium infection in pre-school aged children.
A case-control study was conducted involving 82 pre-school aged children that were age and sex matched. Urine samples were collected for 3 consecutive days and were evaluated using urine filtration gold techniques as the gold standard method. The samples were simultaneously measured for metabolite biomarkers specifically haematuria, proteins, ketones, nitrites, glucose, bilirubin and urobilinogen using chemical reagent strips. Pearson correlation test was used to measure the relationship between S. haematobium infection and the urine metabolite biomarkers.
The diagnostic performance of urine biomarkers were correlated with the microscopic examination urine filtration technique. Haematuria (r = 0.592, p = 0.0001) and proteinuria (r = 0.448, p = 0.0001) were correlated to S. haematobium infection. Negative correlations with p > 0.05 were recorded for ketones and urobilinogen. Highest sensitivity was 65.9 % (CI, 49.4 - 79.9) for haematuria whilst protein (albumin) biomarker had a lower specificity value of 43.9 % (28.5 – 60.3). Inversely, highest sensitivity was 87.8 % (73.8 – 95.9) for proteinuria whilst haematuria had a lower sensitivity value of 82.9 % (67.9 – 92.8). The positive predictive values ranged from 57.7 % (41.6 – 72.2) to 79.4 % (65.5 - 88.7) whereas negative predictive values ranged from 70.8 % (60.8 – 79.2) to 52.0 % (48.7 – 55.3). With respect to diagnostic efficiency, haematuria had a fair diagnostic performance with an area under the curve of 0.76 followed by proteinuria with proteinuria whilst the remaining metabolites fail discriminating ability with an area under the curve of |
| doi_str_mv | 10.1016/j.actatropica.2024.107327 |
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Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The current gold standard microscopic examination techniques lack sensitivity in detecting light Schistosomiasis infections in pre-school aged children thus it is urgent to develop diagnostic tools that may be integrated into control programs. In this study, we evaluated the diagnostic performance of urine metabolite biomarkers using a chemical reagent strip in the detection of S. haematobium infection in pre-school aged children.
A case-control study was conducted involving 82 pre-school aged children that were age and sex matched. Urine samples were collected for 3 consecutive days and were evaluated using urine filtration gold techniques as the gold standard method. The samples were simultaneously measured for metabolite biomarkers specifically haematuria, proteins, ketones, nitrites, glucose, bilirubin and urobilinogen using chemical reagent strips. Pearson correlation test was used to measure the relationship between S. haematobium infection and the urine metabolite biomarkers.
The diagnostic performance of urine biomarkers were correlated with the microscopic examination urine filtration technique. Haematuria (r = 0.592, p = 0.0001) and proteinuria (r = 0.448, p = 0.0001) were correlated to S. haematobium infection. Negative correlations with p > 0.05 were recorded for ketones and urobilinogen. Highest sensitivity was 65.9 % (CI, 49.4 - 79.9) for haematuria whilst protein (albumin) biomarker had a lower specificity value of 43.9 % (28.5 – 60.3). Inversely, highest sensitivity was 87.8 % (73.8 – 95.9) for proteinuria whilst haematuria had a lower sensitivity value of 82.9 % (67.9 – 92.8). The positive predictive values ranged from 57.7 % (41.6 – 72.2) to 79.4 % (65.5 - 88.7) whereas negative predictive values ranged from 70.8 % (60.8 – 79.2) to 52.0 % (48.7 – 55.3). With respect to diagnostic efficiency, haematuria had a fair diagnostic performance with an area under the curve of 0.76 followed by proteinuria with proteinuria whilst the remaining metabolites fail discriminating ability with an area under the curve of <0.5.
Although haematuria and protein biomarkers in urine are moderately sensitive and specific, they are important morbidity indicators of urogenital schistosomiasis in pre-school aged that may be utilised during screening in schistosomiasis control programs. We recommend comprehensive analysis of biomarkers using metabolomics techniques to identify novel urine biomarkers.
[Display omitted]</description><identifier>ISSN: 0001-706X</identifier><identifier>ISSN: 1873-6254</identifier><identifier>EISSN: 1873-6254</identifier><identifier>DOI: 10.1016/j.actatropica.2024.107327</identifier><identifier>PMID: 39127139</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>albumins ; Animals ; bilirubin ; Bilirubin - urine ; Biomarkers ; Biomarkers - urine ; Case-Control Studies ; Child, Preschool ; Diagnosis ; early diagnosis ; Female ; filtration ; glucose ; Glucose - analysis ; gold ; hematuria ; Hematuria - diagnosis ; Hematuria - urine ; Humans ; Infant ; Ketones - urine ; Male ; Metabolites ; metabolomics ; microscopy ; morbidity ; Nitrites - urine ; proteinuria ; Proteinuria - diagnosis ; Proteinuria - urine ; rural communities ; Rural Population ; S. haematobium ; Schistosoma haematobium ; schistosomiasis haematobia ; Schistosomiasis haematobia - diagnosis ; Schistosomiasis haematobia - urine ; Sensitivity and Specificity ; urine ; Urobilinogen - urine ; Zimbabwe</subject><ispartof>Acta tropica, 2024-10, Vol.258, p.107327, Article 107327</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c284t-99f1fd12bc591d46836db9d787657b190fe18ea3e5c53aa7bbb2c22171461b9b3</cites><orcidid>0000-0002-1143-6921 ; 0000-0001-6512-8572 ; 0000-0002-1219-6464</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0001706X24002092$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39127139$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Midzi, Herald</creatorcontrib><creatorcontrib>Naicker, Thajasvarie</creatorcontrib><creatorcontrib>Vengesai, Arthur</creatorcontrib><creatorcontrib>Mabaya, Lucy</creatorcontrib><creatorcontrib>Muchesa, Petros</creatorcontrib><creatorcontrib>Mduluza-Jokonya, Tariro L.</creatorcontrib><creatorcontrib>Katerere, Aaron Garikai</creatorcontrib><creatorcontrib>Kapanga, Donald</creatorcontrib><creatorcontrib>Kasambala, Maritha</creatorcontrib><creatorcontrib>Mutapi, Francisca</creatorcontrib><creatorcontrib>Mduluza, Takafira</creatorcontrib><title>Assessment of urine metabolite biomarkers for the detection of S. haematobium infection in pre-school aged children in a rural community in Zimbabwe</title><title>Acta tropica</title><addtitle>Acta Trop</addtitle><description>•Haematuria and proteinuria are associated with S. haematobium infection.•Diagnostic performance is moderately good for haematuria biomarker.•Urine metabolite biomarkers can be used in the screening phase.
Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The current gold standard microscopic examination techniques lack sensitivity in detecting light Schistosomiasis infections in pre-school aged children thus it is urgent to develop diagnostic tools that may be integrated into control programs. In this study, we evaluated the diagnostic performance of urine metabolite biomarkers using a chemical reagent strip in the detection of S. haematobium infection in pre-school aged children.
A case-control study was conducted involving 82 pre-school aged children that were age and sex matched. Urine samples were collected for 3 consecutive days and were evaluated using urine filtration gold techniques as the gold standard method. The samples were simultaneously measured for metabolite biomarkers specifically haematuria, proteins, ketones, nitrites, glucose, bilirubin and urobilinogen using chemical reagent strips. Pearson correlation test was used to measure the relationship between S. haematobium infection and the urine metabolite biomarkers.
The diagnostic performance of urine biomarkers were correlated with the microscopic examination urine filtration technique. Haematuria (r = 0.592, p = 0.0001) and proteinuria (r = 0.448, p = 0.0001) were correlated to S. haematobium infection. Negative correlations with p > 0.05 were recorded for ketones and urobilinogen. Highest sensitivity was 65.9 % (CI, 49.4 - 79.9) for haematuria whilst protein (albumin) biomarker had a lower specificity value of 43.9 % (28.5 – 60.3). Inversely, highest sensitivity was 87.8 % (73.8 – 95.9) for proteinuria whilst haematuria had a lower sensitivity value of 82.9 % (67.9 – 92.8). The positive predictive values ranged from 57.7 % (41.6 – 72.2) to 79.4 % (65.5 - 88.7) whereas negative predictive values ranged from 70.8 % (60.8 – 79.2) to 52.0 % (48.7 – 55.3). With respect to diagnostic efficiency, haematuria had a fair diagnostic performance with an area under the curve of 0.76 followed by proteinuria with proteinuria whilst the remaining metabolites fail discriminating ability with an area under the curve of <0.5.
Although haematuria and protein biomarkers in urine are moderately sensitive and specific, they are important morbidity indicators of urogenital schistosomiasis in pre-school aged that may be utilised during screening in schistosomiasis control programs. We recommend comprehensive analysis of biomarkers using metabolomics techniques to identify novel urine biomarkers.
[Display omitted]</description><subject>albumins</subject><subject>Animals</subject><subject>bilirubin</subject><subject>Bilirubin - urine</subject><subject>Biomarkers</subject><subject>Biomarkers - urine</subject><subject>Case-Control Studies</subject><subject>Child, Preschool</subject><subject>Diagnosis</subject><subject>early diagnosis</subject><subject>Female</subject><subject>filtration</subject><subject>glucose</subject><subject>Glucose - analysis</subject><subject>gold</subject><subject>hematuria</subject><subject>Hematuria - diagnosis</subject><subject>Hematuria - urine</subject><subject>Humans</subject><subject>Infant</subject><subject>Ketones - urine</subject><subject>Male</subject><subject>Metabolites</subject><subject>metabolomics</subject><subject>microscopy</subject><subject>morbidity</subject><subject>Nitrites - urine</subject><subject>proteinuria</subject><subject>Proteinuria - diagnosis</subject><subject>Proteinuria - urine</subject><subject>rural communities</subject><subject>Rural Population</subject><subject>S. haematobium</subject><subject>Schistosoma haematobium</subject><subject>schistosomiasis haematobia</subject><subject>Schistosomiasis haematobia - diagnosis</subject><subject>Schistosomiasis haematobia - urine</subject><subject>Sensitivity and Specificity</subject><subject>urine</subject><subject>Urobilinogen - urine</subject><subject>Zimbabwe</subject><issn>0001-706X</issn><issn>1873-6254</issn><issn>1873-6254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkcuO1DAQRS0EYnoGfgGZHZs0fiRxvBy1GEAaiQUgITaWHxXaTRw3tjNo_oMPxqEbxA5WLledWyXdi9BzSraU0P7lYatt0SXFo7d6ywhra19wJh6gDR0Eb3rWtQ_RhhBCG0H6TxfoMudD_THRscfogstaUS436Md1zpBzgLngOOIl-RlwgKJNnHwBbHwMOn2FlPEYEy57wA4K2OLjvAreb_FeQ9AlGr8E7OfxPPMzPiZost3HOGH9BRy2ez-5BL9mGqcl6QnbGMIy-3K_Nj_7YLT5Dk_Qo1FPGZ6e3yv08ebVh92b5vbd67e769vGsqEtjZQjHR1lxnaSurYfeO-MdGIQfScMlWQEOoDm0NmOay2MMcwyRgVte2qk4VfoxWnvMcVvC-Sigs8WpknPEJesOO34apNk_0ZJtXQY2kFWVJ5Qm2LOCUZ1TL6aeK8oUWt-6qD-yk-t-alTflX77HxmMQHcH-XvwCqwOwFQfbnzkFS2HmYLzqfqvHLR_8eZn9VhtEo</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Midzi, Herald</creator><creator>Naicker, Thajasvarie</creator><creator>Vengesai, Arthur</creator><creator>Mabaya, Lucy</creator><creator>Muchesa, Petros</creator><creator>Mduluza-Jokonya, Tariro L.</creator><creator>Katerere, Aaron Garikai</creator><creator>Kapanga, Donald</creator><creator>Kasambala, Maritha</creator><creator>Mutapi, Francisca</creator><creator>Mduluza, Takafira</creator><general>Elsevier 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>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-1143-6921</orcidid><orcidid>https://orcid.org/0000-0001-6512-8572</orcidid><orcidid>https://orcid.org/0000-0002-1219-6464</orcidid></search><sort><creationdate>20241001</creationdate><title>Assessment of urine metabolite biomarkers for the detection of S. haematobium infection in pre-school aged children in a rural community in Zimbabwe</title><author>Midzi, Herald ; Naicker, Thajasvarie ; Vengesai, Arthur ; Mabaya, Lucy ; Muchesa, Petros ; Mduluza-Jokonya, Tariro L. ; Katerere, Aaron Garikai ; Kapanga, Donald ; Kasambala, Maritha ; Mutapi, Francisca ; Mduluza, Takafira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c284t-99f1fd12bc591d46836db9d787657b190fe18ea3e5c53aa7bbb2c22171461b9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>albumins</topic><topic>Animals</topic><topic>bilirubin</topic><topic>Bilirubin - urine</topic><topic>Biomarkers</topic><topic>Biomarkers - urine</topic><topic>Case-Control Studies</topic><topic>Child, Preschool</topic><topic>Diagnosis</topic><topic>early diagnosis</topic><topic>Female</topic><topic>filtration</topic><topic>glucose</topic><topic>Glucose - analysis</topic><topic>gold</topic><topic>hematuria</topic><topic>Hematuria - diagnosis</topic><topic>Hematuria - urine</topic><topic>Humans</topic><topic>Infant</topic><topic>Ketones - urine</topic><topic>Male</topic><topic>Metabolites</topic><topic>metabolomics</topic><topic>microscopy</topic><topic>morbidity</topic><topic>Nitrites - urine</topic><topic>proteinuria</topic><topic>Proteinuria - diagnosis</topic><topic>Proteinuria - urine</topic><topic>rural communities</topic><topic>Rural Population</topic><topic>S. haematobium</topic><topic>Schistosoma haematobium</topic><topic>schistosomiasis haematobia</topic><topic>Schistosomiasis haematobia - diagnosis</topic><topic>Schistosomiasis haematobia - urine</topic><topic>Sensitivity and Specificity</topic><topic>urine</topic><topic>Urobilinogen - urine</topic><topic>Zimbabwe</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Midzi, Herald</creatorcontrib><creatorcontrib>Naicker, Thajasvarie</creatorcontrib><creatorcontrib>Vengesai, Arthur</creatorcontrib><creatorcontrib>Mabaya, Lucy</creatorcontrib><creatorcontrib>Muchesa, Petros</creatorcontrib><creatorcontrib>Mduluza-Jokonya, Tariro L.</creatorcontrib><creatorcontrib>Katerere, Aaron Garikai</creatorcontrib><creatorcontrib>Kapanga, Donald</creatorcontrib><creatorcontrib>Kasambala, Maritha</creatorcontrib><creatorcontrib>Mutapi, Francisca</creatorcontrib><creatorcontrib>Mduluza, Takafira</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Acta tropica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Midzi, Herald</au><au>Naicker, Thajasvarie</au><au>Vengesai, Arthur</au><au>Mabaya, Lucy</au><au>Muchesa, Petros</au><au>Mduluza-Jokonya, Tariro L.</au><au>Katerere, Aaron Garikai</au><au>Kapanga, Donald</au><au>Kasambala, Maritha</au><au>Mutapi, Francisca</au><au>Mduluza, Takafira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of urine metabolite biomarkers for the detection of S. haematobium infection in pre-school aged children in a rural community in Zimbabwe</atitle><jtitle>Acta tropica</jtitle><addtitle>Acta Trop</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>258</volume><spage>107327</spage><pages>107327-</pages><artnum>107327</artnum><issn>0001-706X</issn><issn>1873-6254</issn><eissn>1873-6254</eissn><abstract>•Haematuria and proteinuria are associated with S. haematobium infection.•Diagnostic performance is moderately good for haematuria biomarker.•Urine metabolite biomarkers can be used in the screening phase.
Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The current gold standard microscopic examination techniques lack sensitivity in detecting light Schistosomiasis infections in pre-school aged children thus it is urgent to develop diagnostic tools that may be integrated into control programs. In this study, we evaluated the diagnostic performance of urine metabolite biomarkers using a chemical reagent strip in the detection of S. haematobium infection in pre-school aged children.
A case-control study was conducted involving 82 pre-school aged children that were age and sex matched. Urine samples were collected for 3 consecutive days and were evaluated using urine filtration gold techniques as the gold standard method. The samples were simultaneously measured for metabolite biomarkers specifically haematuria, proteins, ketones, nitrites, glucose, bilirubin and urobilinogen using chemical reagent strips. Pearson correlation test was used to measure the relationship between S. haematobium infection and the urine metabolite biomarkers.
The diagnostic performance of urine biomarkers were correlated with the microscopic examination urine filtration technique. Haematuria (r = 0.592, p = 0.0001) and proteinuria (r = 0.448, p = 0.0001) were correlated to S. haematobium infection. Negative correlations with p > 0.05 were recorded for ketones and urobilinogen. Highest sensitivity was 65.9 % (CI, 49.4 - 79.9) for haematuria whilst protein (albumin) biomarker had a lower specificity value of 43.9 % (28.5 – 60.3). Inversely, highest sensitivity was 87.8 % (73.8 – 95.9) for proteinuria whilst haematuria had a lower sensitivity value of 82.9 % (67.9 – 92.8). The positive predictive values ranged from 57.7 % (41.6 – 72.2) to 79.4 % (65.5 - 88.7) whereas negative predictive values ranged from 70.8 % (60.8 – 79.2) to 52.0 % (48.7 – 55.3). With respect to diagnostic efficiency, haematuria had a fair diagnostic performance with an area under the curve of 0.76 followed by proteinuria with proteinuria whilst the remaining metabolites fail discriminating ability with an area under the curve of <0.5.
Although haematuria and protein biomarkers in urine are moderately sensitive and specific, they are important morbidity indicators of urogenital schistosomiasis in pre-school aged that may be utilised during screening in schistosomiasis control programs. We recommend comprehensive analysis of biomarkers using metabolomics techniques to identify novel urine biomarkers.
[Display omitted]</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>39127139</pmid><doi>10.1016/j.actatropica.2024.107327</doi><orcidid>https://orcid.org/0000-0002-1143-6921</orcidid><orcidid>https://orcid.org/0000-0001-6512-8572</orcidid><orcidid>https://orcid.org/0000-0002-1219-6464</orcidid></addata></record> |
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| subjects | albumins Animals bilirubin Bilirubin - urine Biomarkers Biomarkers - urine Case-Control Studies Child, Preschool Diagnosis early diagnosis Female filtration glucose Glucose - analysis gold hematuria Hematuria - diagnosis Hematuria - urine Humans Infant Ketones - urine Male Metabolites metabolomics microscopy morbidity Nitrites - urine proteinuria Proteinuria - diagnosis Proteinuria - urine rural communities Rural Population S. haematobium Schistosoma haematobium schistosomiasis haematobia Schistosomiasis haematobia - diagnosis Schistosomiasis haematobia - urine Sensitivity and Specificity urine Urobilinogen - urine Zimbabwe |
| title | Assessment of urine metabolite biomarkers for the detection of S. haematobium infection in pre-school aged children in a rural community in Zimbabwe |
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