Home > Publications database > Performance and feasibility of self-microsampling of capillary blood and saliva for serological testing of SARS-CoV-2. > print |
001 | 303011 | ||
005 | 20250727021618.0 | ||
024 | 7 | _ | |a 10.1371/journal.pone.0327821 |2 doi |
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041 | _ | _ | |a English |
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100 | 1 | _ | |a Morales, Ivonne |0 0000-0001-6803-9284 |b 0 |
245 | _ | _ | |a Performance and feasibility of self-microsampling of capillary blood and saliva for serological testing of SARS-CoV-2. |
260 | _ | _ | |a San Francisco, California, US |c 2025 |b PLOS |
336 | 7 | _ | |a article |2 DRIVER |
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336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1753095451_5172 |2 PUB:(DE-HGF) |
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520 | _ | _ | |a Serology is a valuable tool to estimate infections, case-fatality rates, and immunity. However, venipuncture and clinical infrastructure hinder scalability. This study evaluated the performance, feasibility and user experience of using a microsampling device for self-collected capillary blood and saliva to determine total SARS-CoV-2 S RBD antibodies.It included 149 participants with (n = 48) or without (n = 101) a known history of SARS-CoV-2 infection and confirmed antibodies. Venous and capillary blood were self- or professionally collected from all, and saliva was self-collected by 46/48 participants with antibodies. The detection of SARS-CoV-2 S RBD antibodies in all sample types was tested using a high-throughput platform and agreement was calculated. Intra- and inter-rater agreement between serum and capillary blood in participants with an unknown antibody status was also assessed. Participants evaluated the device's user-friendliness through questionnaires.Among the 48 participants with known past infection and antibodies, agreement was 100% (95% CI: 92.6-100) between serum and capillary blood (self-collected or professionally collected). Self-collected saliva had slightly lower agreement with paired serum samples (95.7%, CI: 85.2-99.5). For the 101 participants without prior evidence of antibodies or infection, serum and self-collected capillary blood had good intra-rater agreement and serum and professionally collected capillary blood had almost perfect intra-rater agreement. Inter-rater agreement was also almost perfect. While 81.8% found the self-finger prick easy, 53.4% found using the microsampler easy. Among those who collected saliva, 84.8% found capillary blood easier to collect compared to saliva (52.2%).Our results show that detecting SARS-CoV-2 antibodies from capillary blood and saliva collected with the VAMS microsampling device is feasible and yields valid results. To ensure accuracy and reliability, additional training in self-sampling techniques may be essential. The positive user experience further underscores the microsampling device's potential for scalable serosurveillance and strengthening pandemic preparedness efforts. |
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650 | _ | 7 | |a Antibodies, Viral |2 NLM Chemicals |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Saliva: virology |2 MeSH |
650 | _ | 2 | |a COVID-19: diagnosis |2 MeSH |
650 | _ | 2 | |a COVID-19: blood |2 MeSH |
650 | _ | 2 | |a COVID-19: virology |2 MeSH |
650 | _ | 2 | |a Female |2 MeSH |
650 | _ | 2 | |a SARS-CoV-2: immunology |2 MeSH |
650 | _ | 2 | |a SARS-CoV-2: isolation & purification |2 MeSH |
650 | _ | 2 | |a Male |2 MeSH |
650 | _ | 2 | |a Middle Aged |2 MeSH |
650 | _ | 2 | |a Antibodies, Viral: blood |2 MeSH |
650 | _ | 2 | |a Antibodies, Viral: analysis |2 MeSH |
650 | _ | 2 | |a Adult |2 MeSH |
650 | _ | 2 | |a Feasibility Studies |2 MeSH |
650 | _ | 2 | |a COVID-19 Serological Testing: methods |2 MeSH |
650 | _ | 2 | |a Aged |2 MeSH |
650 | _ | 2 | |a Specimen Handling: methods |2 MeSH |
650 | _ | 2 | |a Blood Specimen Collection: methods |2 MeSH |
650 | _ | 2 | |a Capillaries |2 MeSH |
700 | 1 | _ | |a Bueggeln, Josh |b 1 |
700 | 1 | _ | |a Denzler, Anna |b 2 |
700 | 1 | _ | |a Sonntag-Buck, Vera |b 3 |
700 | 1 | _ | |a Börner, Kathleen |b 4 |
700 | 1 | _ | |a Chlanda, Petr |b 5 |
700 | 1 | _ | |a Koeppel, Lisa |b 6 |
700 | 1 | _ | |a Deckert, Andreas |b 7 |
700 | 1 | _ | |a Bärnighausen, Till |b 8 |
700 | 1 | _ | |a Knop, Michael |0 P:(DE-He78)03ae15a30a7fa7191475148bf4e7f581 |b 9 |u dkfz |
700 | 1 | _ | |a Denkinger, Claudia M |0 0000-0002-7216-7067 |b 10 |
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