| Literature DB >> 31886353 |
Aurora Diotallevi1, Gloria Buffi1, Marcello Ceccarelli1, Herintha Coeto Neitzke-Abreu2, Laisa Vieira Gnutzmann2, Manoel Sebastião da Costa Lima Junior3, Alice Di Domenico1, Mauro De Santi1, Mauro Magnani1, Luca Galluzzi1.
Abstract
This article contains the data regarding Leishmania species identification in human and canine clinical samples from a Brazilian region endemic for Leishmania (Viannia) spp., Leishmania (Leishmania) infantum and Leishmania (Leishmania) amazonensis, using a previously developed approach involving two qPCR assays (qPCR-ML and qPCR-ama). The data are related to the article "Real-time PCR to differentiate among Leishmania (Viannia) subgenus, Leishmania (Leishmania) infantum and Leishmania (Leishmania) amazonensis: application on Brazilian clinical samples" [1], and include also details of clinical evaluation/diagnosis of human patients and primer sequences used in the qPCR assays. The Leishmania species has been determined in 27 canine samples and 11 human samples, exploiting HRM analysis of qPCR-ML and Cq values of qPCR-ML and qPCR-ama, as reported previously [2]. The qPCR data were in agreement with the species characterization obtained with other methods such as conventional species-specific PCR, ITS1 PCR-RFLP or DNA sequencing. Despite the limited number of clinical samples, these data are encouraging for a potential application in regions where L. (Viannia) spp., L. (L.) infantum and L. (L.) amazonensis are co-endemic.Entities:
Keywords: HRM; Leishmania amazonensis; Leishmania infantum; Real-time PCR; Viannia; qPCR
Year: 2019 PMID: 31886353 PMCID: PMC6920495 DOI: 10.1016/j.dib.2019.104914
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Diagnosis and clinical evaluation of human patients.
| Sample ID | Diagnosis | Patient clinical evaluation |
|---|---|---|
| E1 | VL | Anemia, splenomegaly |
| E2, E3, E4 | VL | No clinical information |
| E5 | VL | HIV patient, fever, pancytopenia, hyporexia |
| E6, E7 | VL | Pancytopenia, hepatosplenomegaly |
| E8 | VL | 5 years old; hepatosplenomegaly, anemia, submandibular ganglia, fever, pancytopenia, abdominal distension |
| E9 | n.a. | No clinical information |
| F2 | CL | Nasal lesion |
| F3 | VL | Anemia, splenomegaly |
Primer sequences for qPCR. Primer names are in bold.
| Target | Forward primer (5′-3′) | Reverse primer (5′-3′) |
|---|---|---|
| B2M canine | GTCCCACAGATCCCCCAAAG | CTGGTGGATGGAACCCTGAC |
| GAPDH human | CCATGTTCGTCATGGGTGTG | GGTGCTAAGCAGTTGGTGGTG |
| kDNA (qPCR-ML) | ||
| kDNA (qPCR-ama) |
B2M canine, Canis familiaris Beta-2-Microglobulin.
GAPDH human, Homo sapiens glyceraldehyde-3-phosphate dehydrogenase.
qPCR-ML and qPCR-ama data in canine clinical samples.
| Source | clinical sample (ID) | qPCR-ML (Cq ± SD) | qPCR-ama (Cq ± SD) | qPCR-ML (HRM Tm °C) | Species identification |
|---|---|---|---|---|---|
| Peripheral blood | A1 | n.d. | n.d. | n.d. | – |
| A2 | n.d. | n.d. | n.d. | – | |
| A3 | n.d. | n.d. | n.d. | – | |
| A4 | 20.58 ± 0.62 | 31.83 ± 0.89 | 84.08 ± 0.11 | ||
| A5 | 26.51 ± 0.40 | n.d. | 84.12 ± 0.02 | ||
| A6 | n.d. | n.d. | n.d. | – | |
| A7 | n.d. | n.d. | n.d. | – | |
| A8 | n.d. | n.d. | n.d. | – | |
| A9 | 27.60 ± 1.39 | 39.23 ± 0.81 | 84.03 ± 0.04 | ||
| B1 | n.d. | n.d. | n.d. | – | |
| B2 | n.d. | n.d. | n.d. | – | |
| B3 | 23.69 ± 0.14 | 32.28 ± 0.66 | 83.64 ± 0.01 | ||
| B4 | 18.16 ± 0.35 | 24.77 ± 0.16 | 83.95 ± 0.32 | ||
| Bone marrow | B5 | 17.96 ± 0.17 | 26.09 ± 0.09 | 83.94 ± 0.08 | |
| B6 | 22.90 ± 0.30 | 30.34 ± 0.08 | 84.08 ± 0.11 | ||
| B7 | 17.39 ± 4.53 | 25.93 ± 3.47 | 83.79 ± 0.02 | ||
| B8 | 18.18 ± 3.62 | 25.12 ± 2.64 | 84.05 ± 0.14 | ||
| B9 | 25.58 ± 1.20 | 33.57 ± 0.86 | 84.90 ± 0.04 | ||
| C1 | 17.41 ± 3.39 | 26.27 ± 2.25 | 83.85 ± 0.02 | ||
| C2 | 14.80 ± 0.23 | 22.62 ± 0.01 | 83.96 ± 0.08 | ||
| C3 | 16.02 ± 0.13 | 23.73 ± 0.07 | 84.12 ± 0.02 | ||
| C4 | 17.53 ± 0.06 | 25.20 ± 0.06 | 83.97 ± 0.07 | ||
| C5 | 14.57 ± 0.22 | 22.43 ± 0.13 | 83.90 ± 0.07 | ||
| C6 | 25.95 ± 10.55 | n.d. | 84.86 ± 0.05 | ||
| C7 | 20.38 ± 0.50 | 26.40 ± 3.57 | 84.10 ± 0.05 | ||
| C8 | 22.52 ± 0.50 | n.d. | 84.05 ± 0.05 | ||
| C9 | 30.81 ± 0.35 | n.d. | 84.10 ± 0.07 | ||
| D1 | n.d. | n.d. | n.d. | – | |
| D2 | 28.51 ± 3.35 | n.d. | 84.03 ± 0.05 | ||
| D3 | 20.04 ± 0.12 | 32.36 ± 0.35 | 80.44 ± 0.04 | ||
| D4 | 17.65 ± 0.18 | 28.62 ± 0.93 | 80.08 ± 0.09 | ||
| D5 | 12.14 ± 0.01 | 23.68 ± 0.32 | 79.95 ± 0.03 | ||
| D6 | 12.17 ± 0.09 | 22.63 ± 0.17 | 80.13 ± 0.11 | ||
| D7 | 8.72 ± 0.01 | 18.85 ± 0.13 | 80.06 ± 0.04 | ||
| D8 | 8.38 ± 0.18 | 18.50 ± 0.05 | 80.07 ± 0.08 | ||
| D9 | 30.75 ± 0.04 | n.d. | 84.10 ± 0.08 |
n.d. = not detectable.
Samples tested with SYBR green PCR master mix (Diatheva srl).
Samples tested with RT2 SYBR Green ROX FAST Mastermix (Qiagen).
qPCR-ML and qPCR-ama data in human clinical samples.
| Source | Human clinical sample (ID) | qPCR-ML (Cq ± SD) | qPCR-ama (Cq ± SD) | qPCR-ML (HRM Tm °C) | Species identification |
|---|---|---|---|---|---|
| Peripheral blood | E1 | 28.28 ± 0.72 | 34.08 ± 0.71 | 84.20 ± 0.05 | |
| E5 | 28.81 ± 2.36 | n.d. | 83.27 ± 0.05 | ||
| 83.15 ± 0.07 | |||||
| E6 | 19.12 ± 0.06 | 27.35 ± 0.23 | 84.20 ± 0.01 | ||
| E7 | 31.12 ± 0.31 | 34.93 ± 0.74 | 83.94 ± 0.08 | ||
| E8 | 23.64 ± 0.46 | 24.06 ± 0.86 | 83.77 ± 0.04 | ||
| 82.75 ± 0.28 | |||||
| F2 | 33.85 ± 4.11 | n.d. | 84.18 ± 0.04 | ||
| F3 | 29.19 ± 0.18 | n.d. | 84.14 ± 0.06 | ||
| Bone marrow | E2 | 30.32 ± 0.96 | n.d. | 80.06 ± 0.08 | |
| E3 | n.d. | 30.35 ± 1.55 | n.d. | ||
| E4 | 31.99 ± 1.31 | n.d. | 80.65 ± 0.05 | ||
| E9 | 27.78 ± 1.34 | n.d. | 84.62 ± 0.07 |
n.d. = not detectable.
Samples tested with SYBR green PCR master mix (Diatheva srl).
Samples tested with SYBR green PCR master mix (Diatheva srl) and TB Green premix ex TaqII Mastermix (Takara).
Samples tested with RT2 SYBR Green ROX FAST Mastermix (Qiagen).
values obtained with TB Green premix ex TaqII Mastermix (Takara).
Fig. 1Phylogenetic analysis of ITS1 fragments of F2 and F3 samples (red dotted line). The phylogenetic tree was constructed by using the maximum likelihood method and Tamura-Nei model. Numbers below branches represent bootstrap support.
Fig. 2Specificity of qPCR-ML (A) and qPCR-ama (B). The qPCR amplicons were run on a 2% agarose gel. Both qPCR assays were performed using three different PCR master mix: SYBR green PCR master mix, Diatheva (I); RT2 SYBR Green ROX FAST Mastermix, Qiagen (II); TB Green premix ex TaqII Mastermix, Takara Bio (III). For each master mix, DNA from L. (L.) infantum (0,006 ng/μl), L. (L.) amazonensis (0,15 ng/μl), Trypanosoma cruzi (0,1 ng/μl) and human DNA (30 ng/μl) were tested with the condition described in the manuscript. As negative control, a no template control was used for each qPCR run. M: ΦX174 DNA/BsuRI (HaeIII) Marker, 9 (ThermoFisher Scientific); NTC: no template control.
Specifications Table
| Subject | Parasitology |
| Specific subject area | Molecular diagnostics |
| Type of data | Table |
| How data were acquired | The qPCR assays were performed using Rotor-Gene 6000 instrument (Corbett life science). The qPCR runs were analyzed with Rotor-Gene software version 1.7 to obtain Cq values and High resolution melting temperatures. |
| Data format | Raw |
| Parameters for data collection | DNA extracted from clinical samples and strains was spotted on filter paper for storage and laboratory transfer. The qPCR assays (qPCR-ML and qPCR-ama), as well as ITS1 PCR, were performed directly from a punch of filter paper, with a pre-amplification step. |
| Description of data collection | HRM data obtained with qPCR-ML allowed to discriminate between subgenera |
| Data source location | |
| Data accessibility | With the article |
| Related research article | Aurora Diotallevi, Gloria Buffi, Marcello Ceccarelli, Herintha Coeto Neitzke-Abreu, Laisa Vieira Gnutzmann, Manoel Sebastião da Costa Lima Junior, Alice Di Domenico, Mauro De Santi, Mauro Magnani, Luca Galluzzi. Real-time PCR to differentiate among |
These data are useful to point out the potential field application of our SYBR Green-based qPCR assays to distinguish among The rapid Leishmania species identification can be particularly useful for diagnosis in regions where These data can be considered to further develop qPCR-based assays for other species differentiation in the |