EC<sub>50</sub> values of modified Nb14.
<div><p>Background</p><p>Dengue virus (DENV), a mosquito-borne flavivirus responsible for dengue disease, has emerged as an escalating global health concern, with cases increasing sharply in recent decades. In Argentina, dengue has transitioned from a sporadic disease to a re...
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2025
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| author | María Florencia Pavan (22538063) |
| author2 | Cristian Miguel Malnero (22538066) María Emilia Mora Alvarado (22538069) María Camila Carzoglio (22538072) Yesica Paredes Rojas (22538075) Agostina Bruno (9708143) Laura Perez Vidakovics (14372943) Leo Hanke (14245409) Alejandro Castello (11822201) Gerald McInerney (167172) Cybele Carina García (22538078) Viviana Parreño (409570) Lorena Itatí Ibañez (22538081) |
| author2_role | author author author author author author author author author author author author |
| author_facet | María Florencia Pavan (22538063) Cristian Miguel Malnero (22538066) María Emilia Mora Alvarado (22538069) María Camila Carzoglio (22538072) Yesica Paredes Rojas (22538075) Agostina Bruno (9708143) Laura Perez Vidakovics (14372943) Leo Hanke (14245409) Alejandro Castello (11822201) Gerald McInerney (167172) Cybele Carina García (22538078) Viviana Parreño (409570) Lorena Itatí Ibañez (22538081) |
| author_role | author |
| dc.creator.none.fl_str_mv | María Florencia Pavan (22538063) Cristian Miguel Malnero (22538066) María Emilia Mora Alvarado (22538069) María Camila Carzoglio (22538072) Yesica Paredes Rojas (22538075) Agostina Bruno (9708143) Laura Perez Vidakovics (14372943) Leo Hanke (14245409) Alejandro Castello (11822201) Gerald McInerney (167172) Cybele Carina García (22538078) Viviana Parreño (409570) Lorena Itatí Ibañez (22538081) |
| dc.date.none.fl_str_mv | 2025-10-31T17:58:36Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pntd.0013168.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/EC_sub_50_sub_values_of_modified_Nb14_/30505019 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Genetics Biotechnology Cancer Infectious Diseases Virology Computational Biology system exhibits limitations successfully identified cases sera pool dilutions public health system cases increasing sharply borne flavivirus responsible target ns1 across reported ns1 concentrations precision diagnostic tools 3 &# 8211 four denv serotypes denv genome encodes structural protein 1 6 &# 8211 early infection detection ns1 ), diagnostic sensitivity detecting ns1 3 %). denv ), xlink "> urgent need symptom onset sporadic disease results underscore regions facing recurrent epidemic recent decades limited access key biomarker human samples exposing gaps engineered nanobodies detection antibodies detection aligning detected signals affecting 18 accurate diagnosis 9 ), 6 %) 23 provinces |
| dc.title.none.fl_str_mv | EC<sub>50</sub> values of modified Nb14. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Background</p><p>Dengue virus (DENV), a mosquito-borne flavivirus responsible for dengue disease, has emerged as an escalating global health concern, with cases increasing sharply in recent decades. In Argentina, dengue has transitioned from a sporadic disease to a recurrent epidemic, now affecting 18 of 23 provinces and exposing gaps in diagnostic capacity.</p><p>Methodology and Principal Findings</p><p>The DENV genome encodes the non-structural protein 1 (NS1), a key biomarker for early infection detection. Given the limited access to commercially available diagnostic kits within the public health system, we developed a combined ELISA system incorporating Nanobodies designed to target NS1 across all four DENV serotypes as detection antibodies. This system demonstrates excellent discriminative performance (AUC > 0.9), with a diagnostic sensitivity of 93.6% (95% CI: 86.6–97.6%) and a specificity of 81.1% (95% CI: 70.3–89.3%). The analytical sensitivity showed strong correlation between sera pool dilutions and detected signals, with a limit of detection aligning with reported NS1 concentrations in human samples. While the system exhibits limitations in detecting NS1 from DENV-4, it successfully identified cases in patients five days post-symptom onset who were initially considered epidemiologically negative for dengue infection.</p><p>Significance</p><p>Our results underscore the urgent need for accessible, high-precision diagnostic tools in regions facing a surge in dengue outbreaks. Additionally, they highlight the necessity of revising current diagnostic algorithms to enhance the detection of late-presenting cases.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_5c1c819e5ec9ff4eca7269583dcd5e30 |
| identifier_str_mv | 10.1371/journal.pntd.0013168.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30505019 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | EC<sub>50</sub> values of modified Nb14.María Florencia Pavan (22538063)Cristian Miguel Malnero (22538066)María Emilia Mora Alvarado (22538069)María Camila Carzoglio (22538072)Yesica Paredes Rojas (22538075)Agostina Bruno (9708143)Laura Perez Vidakovics (14372943)Leo Hanke (14245409)Alejandro Castello (11822201)Gerald McInerney (167172)Cybele Carina García (22538078)Viviana Parreño (409570)Lorena Itatí Ibañez (22538081)MedicineGeneticsBiotechnologyCancerInfectious DiseasesVirologyComputational Biologysystem exhibits limitationssuccessfully identified casessera pool dilutionspublic health systemcases increasing sharplyborne flavivirus responsibletarget ns1 acrossreported ns1 concentrationsprecision diagnostic tools3 &# 8211four denv serotypesdenv genome encodesstructural protein 16 &# 8211early infection detectionns1 ),diagnostic sensitivitydetecting ns13 %).denv ),xlink ">urgent needsymptom onsetsporadic diseaseresults underscoreregions facingrecurrent epidemicrecent decadeslimited accesskey biomarkerhuman samplesexposing gapsengineered nanobodiesdetection antibodiesdetection aligningdetected signalsaffecting 18accurate diagnosis9 ),6 %)23 provinces<div><p>Background</p><p>Dengue virus (DENV), a mosquito-borne flavivirus responsible for dengue disease, has emerged as an escalating global health concern, with cases increasing sharply in recent decades. In Argentina, dengue has transitioned from a sporadic disease to a recurrent epidemic, now affecting 18 of 23 provinces and exposing gaps in diagnostic capacity.</p><p>Methodology and Principal Findings</p><p>The DENV genome encodes the non-structural protein 1 (NS1), a key biomarker for early infection detection. Given the limited access to commercially available diagnostic kits within the public health system, we developed a combined ELISA system incorporating Nanobodies designed to target NS1 across all four DENV serotypes as detection antibodies. This system demonstrates excellent discriminative performance (AUC > 0.9), with a diagnostic sensitivity of 93.6% (95% CI: 86.6–97.6%) and a specificity of 81.1% (95% CI: 70.3–89.3%). The analytical sensitivity showed strong correlation between sera pool dilutions and detected signals, with a limit of detection aligning with reported NS1 concentrations in human samples. While the system exhibits limitations in detecting NS1 from DENV-4, it successfully identified cases in patients five days post-symptom onset who were initially considered epidemiologically negative for dengue infection.</p><p>Significance</p><p>Our results underscore the urgent need for accessible, high-precision diagnostic tools in regions facing a surge in dengue outbreaks. Additionally, they highlight the necessity of revising current diagnostic algorithms to enhance the detection of late-presenting cases.</p></div>2025-10-31T17:58:36ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pntd.0013168.t002https://figshare.com/articles/dataset/EC_sub_50_sub_values_of_modified_Nb14_/30505019CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/305050192025-10-31T17:58:36Z |
| spellingShingle | EC<sub>50</sub> values of modified Nb14. María Florencia Pavan (22538063) Medicine Genetics Biotechnology Cancer Infectious Diseases Virology Computational Biology system exhibits limitations successfully identified cases sera pool dilutions public health system cases increasing sharply borne flavivirus responsible target ns1 across reported ns1 concentrations precision diagnostic tools 3 &# 8211 four denv serotypes denv genome encodes structural protein 1 6 &# 8211 early infection detection ns1 ), diagnostic sensitivity detecting ns1 3 %). denv ), xlink "> urgent need symptom onset sporadic disease results underscore regions facing recurrent epidemic recent decades limited access key biomarker human samples exposing gaps engineered nanobodies detection antibodies detection aligning detected signals affecting 18 accurate diagnosis 9 ), 6 %) 23 provinces |
| status_str | publishedVersion |
| title | EC<sub>50</sub> values of modified Nb14. |
| title_full | EC<sub>50</sub> values of modified Nb14. |
| title_fullStr | EC<sub>50</sub> values of modified Nb14. |
| title_full_unstemmed | EC<sub>50</sub> values of modified Nb14. |
| title_short | EC<sub>50</sub> values of modified Nb14. |
| title_sort | EC<sub>50</sub> values of modified Nb14. |
| topic | Medicine Genetics Biotechnology Cancer Infectious Diseases Virology Computational Biology system exhibits limitations successfully identified cases sera pool dilutions public health system cases increasing sharply borne flavivirus responsible target ns1 across reported ns1 concentrations precision diagnostic tools 3 &# 8211 four denv serotypes denv genome encodes structural protein 1 6 &# 8211 early infection detection ns1 ), diagnostic sensitivity detecting ns1 3 %). denv ), xlink "> urgent need symptom onset sporadic disease results underscore regions facing recurrent epidemic recent decades limited access key biomarker human samples exposing gaps engineered nanobodies detection antibodies detection aligning detected signals affecting 18 accurate diagnosis 9 ), 6 %) 23 provinces |