Real-Time PCR-based diagnosis of human visceral leishmaniasis using urine samples
Abstract Background Diagnosis of visceral leishmaniasis (VL) through the detection of its causative agents namely Leishmania donovani and L. infantum is traditionally based on Giemsa-stained smears of bone marrow, spleen aspirates, liver or lymph node. Collection of these samples involve invasive procedures and carries the risk of fatal hemorrhage especially during splenic aspiration. Earlier, we reported a Polymerase Chain Reaction (PCR)-based diagnosis of L. donovani in peripheral blood using a novel set of PCR primers with absolute specificity (Khatun et al. 2017). Using the same set of primers and PCR conditions, here we describe diagnosis of L. donovani from urine, for a non-invasive, rapid and safe diagnosis.Methods Diagnosis of L. donovani was carried out using urine samples collected from clinically diagnosed VL patients (n=23) of Bangladesh in Real Time PCR. Test results were validated by comparing blood samples from the same set of patients. Sensitivity and specificity of this diagnosis was analyzed using retrospective bone marrow samples, collected earlier from confirmed VL patients (n=19) (Khatun et al. 2017).Results The method showed 100% sensitivity in detecting VL in urine and corresponding blood samples and bone marrow samples, as well as 100% specificity in control groups.Conclusion Urine-based diagnosis could be a patient-friendly, non-invasive approach for VL detection with precision and perfection..
| Medienart: |
|
|---|
Preprint| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
bioRxiv.org - (2024) vom: 23. Apr. Zur Gesamtaufnahme - year:2024 |
|---|
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Rahim, Samiur [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| doi: |
10.1101/2022.07.05.22277270 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
XBI036474398 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | XBI036474398 | ||
| 003 | DE-627 | ||
| 005 | 20240424105217.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220709s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1101/2022.07.05.22277270 |2 doi | |
| 035 | |a (DE-627)XBI036474398 | ||
| 035 | |a (biorXiv)10.1101/2022.07.05.22277270 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Rahim, Samiur |e verfasserin |0 (orcid)0000-0003-1468-395X |4 aut | |
| 245 | 1 | 0 | |a Real-Time PCR-based diagnosis of human visceral leishmaniasis using urine samples |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Abstract Background Diagnosis of visceral leishmaniasis (VL) through the detection of its causative agents namely Leishmania donovani and L. infantum is traditionally based on Giemsa-stained smears of bone marrow, spleen aspirates, liver or lymph node. Collection of these samples involve invasive procedures and carries the risk of fatal hemorrhage especially during splenic aspiration. Earlier, we reported a Polymerase Chain Reaction (PCR)-based diagnosis of L. donovani in peripheral blood using a novel set of PCR primers with absolute specificity (Khatun et al. 2017). Using the same set of primers and PCR conditions, here we describe diagnosis of L. donovani from urine, for a non-invasive, rapid and safe diagnosis.Methods Diagnosis of L. donovani was carried out using urine samples collected from clinically diagnosed VL patients (n=23) of Bangladesh in Real Time PCR. Test results were validated by comparing blood samples from the same set of patients. Sensitivity and specificity of this diagnosis was analyzed using retrospective bone marrow samples, collected earlier from confirmed VL patients (n=19) (Khatun et al. 2017).Results The method showed 100% sensitivity in detecting VL in urine and corresponding blood samples and bone marrow samples, as well as 100% specificity in control groups.Conclusion Urine-based diagnosis could be a patient-friendly, non-invasive approach for VL detection with precision and perfection. | ||
| 650 | 4 | |a Biology |7 (dpeaa)DE-84 | |
| 650 | 4 | |a 570 |7 (dpeaa)DE-84 | |
| 700 | 1 | |a Amin, Md. Robed |e verfasserin |0 (orcid)0000-0002-5500-5103 |4 aut | |
| 700 | 1 | |a Sharif, Mohiuddin |e verfasserin |0 (orcid)0000-0002-5580-2823 |4 aut | |
| 700 | 1 | |a Rahman, Mohammad Tariqur |e verfasserin |0 (orcid)0000-0003-3600-3265 |4 aut | |
| 700 | 1 | |a Karim, Muhammad Manjurul |e verfasserin |0 (orcid)0000-0003-0476-8239 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t bioRxiv.org |g (2024) vom: 23. Apr. |
| 773 | 1 | 8 | |g year:2024 |g day:23 |g month:04 |
| 856 | 4 | 0 | |u https://doi.org/10.1371/journal.pgph.0000834 |x 0 |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1101/2022.07.05.22277270 |x 0 |z kostenfrei |3 Volltext |
| 912 | |a GBV_XBI | ||
| 951 | |a AR | ||
| 952 | |j 2024 |b 23 |c 04 | ||