| Literature DB >> 31818287 |
Jun-Rong Zhang1, Xian-Guang Guo2, Han Chen1, Jin-Long Liu2,3, Xiong Gong2, Da-Li Chen4, Jian-Ping Chen5.
Abstract
BACKGROUND: Leishmaniosis, a disease caused by pathogenic Leishmania parasites, remains an unresolved health problem in the New World and the Old World. It is well known that lizards can be infected by a subgenus of Leishmania parasites, i.e. Sauroleishmania, which is non-pathogenic to humans. However, evidence suggests that lizards may also harbor pathogenic Leishmania species including the undetermined Leishmania sp., discovered in our previous work. Leishmania DNA in lizard blood can be detected by using molecular methods, such as the polymerase chain reaction (PCR).Entities:
Keywords: Haplotypes; Leishmania; Lizard; Mixed infection; Northwest China; Pathogenic
Mesh:
Substances:
Year: 2019 PMID: 31818287 PMCID: PMC6902407 DOI: 10.1186/s12917-019-2174-4
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Species and numbers of lizards collected in different districts
| District | Site | Point number | Lizard species | Number of lizards |
|---|---|---|---|---|
| Bortala Mongolia Autonomous Canton, Xinjiang Uygur Autonomous Region | S1: Jinghe County | Point 1 | 24 | |
| 2 | ||||
| Ili Kazak Autonomous Prefecture, Xinjiang Uygur Autonomous Region | S2: Xinyuan County | Point 2 | 4 | |
| 4 | ||||
| S3: Gongliu County | Point 3 | 3 | ||
| Point 4 | 16 | |||
| Point 5 | 11 | |||
| S4: Nilke County | Point 6 | 1 | ||
| Point 7 | 10 | |||
| 1 | ||||
| S5: Tekes County | Point 8 | 4 | ||
| 1 | ||||
| S6: Zhaosu County | Point 9 | 1 | ||
| S7: Huocheng County | Point 10 | 2 | ||
| 2 | ||||
| Point 11 | 8 | |||
| 9 | ||||
| 4 | ||||
| 11 | ||||
| Changji hui Autonomous Prefecture, Xinjiang Uygur Autonomous Region | S8: Fukang City | Point 12 | 3 | |
| 1 | ||||
| S9: Qitai County | Point 13 | 10 | ||
| Point 14 | 4 | |||
| S10: Mori Kazakh Autonomous County/ Mori County | Point 15 | 12 | ||
| 36 | ||||
| Hami Prefecture, Xinjiang Uygur Autonomous Region | S11: Barkol Kazakh Autonomous County/ Barkol County | Point 16 | 8 | |
| Point 17 | 9 | |||
| 3 | ||||
| Point 18 | 7 | |||
| Point 19 | 2 | |||
| Point 20 | 1 | |||
| S12: Yiwu County | Point 21 | 15 | ||
| Point 22 | 2 | |||
| 3 | ||||
| Point 23 | 18 | |||
| Point 24 | 1 | |||
| Point 25 | 20 | |||
| S13: Hami City | Point 26 | 3 | ||
| 3 | ||||
| 3 | ||||
| Point 27 | 1 | |||
| Point 28 | 3 | |||
| 3 | ||||
| Urumqi City, Xinjiang Uygur Autonomous Region | S14: Dabancheng district | Point 29 | 4 | |
| 5 | ||||
| Point 30 | 3 | |||
| 7 | ||||
| Jiuquan City, Gansu Province | S15: Akesai Kazakh Autonomous County/Akesai County | Point 31 | 8 |
Leishmania DNA detection in blood samples from different lizard species
| Lizard species | Number of lizards | Number of positive lizards | Prevalence | 95% CI | Number of positive lizards (Infected by) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LS | LD | LT | LS + LD | LS + LT | LT + LD | LT + LS + LD | LTR + LS + LD | |||||
| 27 | 21 | 77.78% | 62.10–93.46% | 21 | 0 | 0 | 9 | – | – | – | 1 | |
| 34 | 16 | 47.06% | 30.28–63.84% | 8 | 11 | 4 | 3 | 3 | 2 | 1 | – | |
| 36 | 20 | 55.56% | 39.33–71.79% | 10 | 10 | 1 | 1 | – | – | – | – | |
| 6 | 1 | 16.67% | −13.15–46.49% | 1 | 1 | 0 | 1 | – | – | – | – | |
| 6 | 2 | 33.33% | −4.39–71.05% | 1 | 2 | 0 | 1 | – | – | – | – | |
| 9 | 3 | 33.33% | 2.53%-–64.13% | 0 | 3 | 0 | – | – | – | – | – | |
| 11 | 10 | 90.91% | 73.92–107.90% | 4 | 10 | 0 | 4 | – | – | – | – | |
| 22 | 10 | 45.45% | 24.64–66.26% | 2 | 10 | 0 | 2 | – | – | – | – | |
| 47 | 13 | 27.66% | 14.87–40.45% | 3 | 12 | 2 | 2 | 1 | 1 | – | – | |
| 83 | 62 | 72.29% | 62.66–81.92% | 31 | 53 | 12 | 23 | 9 | 6 | 4 | – | |
| 15 | 10 | 66.67% | 42.81–90.53% | 3 | 10 | 0 | 3 | – | – | – | – | |
| 12 | 10 | 83.33% | 62.24–104.42% | 5 | 9 | 1 | 5 | – | – | – | – | |
| 8 | 5 | 62.5% | 28.95–96.05% | 3 | 5 | 2 | 3 | 2 | 2 | 2 | – | |
| Total | 316 | 183 | 57.91% | 52.47–63.35% | 92 | 145 | 22 | 57 | 15 | 11 | 7 | 1 |
LS Leishmania sp., LT Leishmania turanica, LD Leishmania donovani complex, LTR Leishmania tropica
Leishmania DNA detection in lizards from different geographical districts
| Districts | Number of lizards | Number of positive lizards | Prevalence | 95% CI | Number of positive lizards (Infected by) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LS | LD | LT | LS + LD | LS + LT | LT + LD | LT + LS + LD | LTR + LS + LD | |||||
| Jinghe County (S1) | 26 | 23 | 88.46% | 76.18–100.74% | 23 | 9 | 1 | 9 | 1 | – | – | 1 |
| Xinyuan County (S2) | 8 | 4 | 50% | 15.35–84.65% | 3 | 1 | 0 | – | – | – | – | – |
| Gongliu County (S3) | 30 | 14 | 46.67% | 28.82–64.52% | 6 | 9 | 1 | 1 | 1 | – | – | – |
| Nilke County (S4) | 12 | 8 | 66.67% | 40.00–93.34% | 4 | 5 | 0 | 1 | 0 | – | – | – |
| Tekes County (S5) | 5 | 1 | 20% | −15.06–55.06% | 0 | 0 | 1 | – | – | – | – | – |
| Zhaosu County (S6) | 1 | 0 | 0 | 0 | 0 | 0 | 0 | – | – | – | – | – |
| Huocheng County (S7) | 36 | 17 | 47.22% | 30.91–63.53% | 5 | 17 | 0 | 5 | – | – | – | – |
| Fukang County (S8) | 4 | 0 | 0 | 0 | 0 | 0 | 0 | – | – | – | – | – |
| Qitai County (S9) | 14 | 1 | 7.14% | −6.35–20.63% | 0 | 1 | 0 | – | – | – | – | – |
| Mori County(S10) | 48 | 16 | 33.33% | 19.99–46.67% | 4 | 16 | 0 | 4 | – | – | – | – |
| Barkol County (S11) | 30 | 18 | 60% | 42.47–77.53% | 1 | 18 | 1 | 1 | – | 1 | – | – |
| Yiwu County (S12) | 59 | 45 | 76.27% | 65.41–87.13% | 27 | 36 | 11 | 19 | 9 | 5 | 4 | – |
| Hami City (S13) | 16 | 16 | 100% | 100–100% | 9 | 16 | 0 | 9 | – | – | – | – |
| Dabancheng district (S14) | 19 | 15 | 78.95% | 60.62–97.28% | 7 | 12 | 5 | 5 | 2 | 3 | 1 | – |
| Akesai County (S15) | 8 | 5 | 62.5% | 28.95–96.05% | 3 | 5 | 2 | 3 | 2 | 2 | 2 | – |
| Total | 316 | 183 | 57.91% | 52.47–63.35% | 92 | 145 | 22 | 57 | 15 | 11 | 7 | 1 |
LS Leishmania sp., LT Leishmania turanica, LD Leishmania donovani complex, LTR Leishmania tropica
Fig. 1HSP70 gene majority-rule consensus tree inferred from Bayesian inference by using MrBayes v.3.2, associations with less than 0.5 posterior probability were collapsed. Bayesian posterior probabilities and maximum likelihood bootstrap values are shown. Dashes represent nodes with non-parametric bootstrap support lower than 50% or represent nodes not existed. Texts in colors are used to highlight haplotypes that were obtained in this study
Fig. 2Cyt b gene majority-rule consensus tree inferred from Bayesian inference by using MrBayes v.3.2, associations with less than 0.5 posterior probability were collapsed. Bayesian posterior probabilities and maximum likelihood bootstrap values are shown. Dashes represent nodes with non-parametric bootstrap support lower than 50% or represent nodes not existed. Texts in colors are used to highlight haplotypes that were obtained in this study
Fig. 3Common haplotypes obtained in this study. Different filled patterns represent the corresponding host affiliation (a) or geographical origin (b) from which the haplotype was sampled
Fig. 4Sampling points of desert lizards in Northwest China, along with the current foci of endemicity of leishmaniosis. The above (a) shows the study area, sampling sites, and foci; the below (b) highlights the topography, sites numbers, and sandfly distribution pattern. Thirty one green solid circles () represent the points where lizards were captured in this study. The site numbers S1–S15 correspond to those in Table 1. Red solid triangles () represent desert-type zoonotic visceral leishmaniosis (DT-ZVL) endemic foci. Yellow solid triangles () represent anthroponotic type visceral leishmaniosis (AVL) endemic foci. Distribution of epidemic foci was collected and drawn according to the data published [15, 29–31]. Black and white stars represent the distributions of sandflies in Northwest China (★, Phlebotomus mongolensis; ☆, Phlebotomus wui; , Phlebotomus alexandri; , Phlebotomus longiductus), which were drawn according to the references [16, 32]. The image depicted in this figure is our own