| Literature DB >> 35733146 |
Morteza Shams1, Laya Shamsi2, Amirhosein Yousefi3, Alireza Sadrebazzaz4, Ali Asghari5, Behnam Mohammadi-Ghalehbin6, Saeed Shahabi7, Gholamreza Hatam8.
Abstract
BACKGROUND: Blastocystis is a common intestinal protozoa found in animal and human fecal samples, with over 1 billion individuals infected worldwide. Since domestication, dogs and cats have had a close bond with humans. However, their close proximity poses a potential health risk since they may harbor several zoonotic agents. A global estimate of Blastocystis infection and subtype (ST) distribution in dogs and cats would therefore be of great health importance to humans.Entities:
Keywords: Blastocystis; Cats; Distribution; Dogs; Meta-analysis; Prevalence; Subtypes; Systematic review
Mesh:
Substances:
Year: 2022 PMID: 35733146 PMCID: PMC9215001 DOI: 10.1186/s13071-022-05351-2
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 4.047
Fig. 1Flowchart of the included eligible studies in the present study
The main characteristics of 49 studies/papers (65 datasets) included in the present study
| First author, year | Study period | Country | Total samples ( | Infected samples ( | Prevalence (%) | Diagnostic method | Reference |
|---|---|---|---|---|---|---|---|
| Abe, 2002 | 1999 | Japan | 54 | 0 | 0 | Mic | [ |
| Boutellis, 2021 | 2018 | Algeria | 9 | 1 | 11.1 | Mol | [ |
| Roberts, 2013 | UC | Australia | 56 | 0 | 0 | Mol | [ |
| Osman, 2015 | 2012–2013 | France | 116 | 4 | 3.4 | Mol | [ |
| Duda, 1998a | UC | Australia | 72 | 51 | 70.8 | Mic | [ |
| La Sala, 2015 | 2012–2013 | Argentina | 475 | 14 | 2.9 | Mic | [ |
| Udonsom, 2018 | UC | Thailand | 13 | 1 | 7.7 | Mol | [ |
| Sardarian, 2015 | 2012 | Iran | 1500 | 1 | 0.1 | Mic | [ |
| Ramirez, 2014 | UC | Colombia | 40 | 15 | 37.5 | Mol | [ |
| Sanchez-Thevenet, 2019 | 2014–2016 | Spain | 263 | 3 | 1.1 | Mic | [ |
| Wang, 2013 | 2010–2011 | Australia | 80 | 2 | 2.5 | Mol | [ |
| Wang, 2013 | 2010–2011 | Cambodia | 80 | 1 | 1.3 | Mol | [ |
| Wang, 2013 | 2010–2011 | India | 80 | 19 | 24 | Mol | [ |
| Puebla, 2015 | 2014–2015 | Cuba | 97 | 2 | 2.1 | Mic | [ |
| Hurtado, 2019 | UC | Colombia | 421 | 62 | 14.7 | Mic | [ |
| Bandaranayaka, 2019 | UC | Sri Lanka | 50 | 2 | 1 | Mic | [ |
| Spanakos, 2011 | 2008 | Greece | 72 | 0 | 0 | Mol | [ |
| Belleza, 2016 | 2011–2012 | Philippines | 145 | 20 | 13.8 | Mol | [ |
| Li, 2016 | 2013 | China | 315 | 6 | 1.9 | Mol | [ |
| Mohaghegh, 2018 | 2014–2015 | Iran | 301 | 59 | 19.6 | Mic | [ |
| Ruaux, 2014 | 2012 | USA | 103 | 10 | 9.7 | Mol | [ |
| Higuera, 2021 | UC | Colombia | 4 | 2 | 50 | Mol | [ |
| Gazzonis, 2019 | 2015–206 | Italy | 99 | 21 | 21.2 | Mol | [ |
| Konig, 1997 | UC | Germany | 20 | 0 | 0 | Culture and Sero | [ |
| Leelayoova, 2009 | 2006 | Thailand | 189 | 5 | 2.6 | Mic and Mol | [ |
| Dalimiasl, 2001 | UC | Iran | 305 | 1 | 0.3 | Mic | [ |
| López, 2006 | 1996–2003 | Chile | 972 | 351 | 36.1 | Mic | [ |
| Onder, 2021 | 2020–2021 | Turkey | 200 | 0 | 0 | Mol | [ |
| Parkar, 2007 | UC | Australia | 20 | 2 | 10 | Mol | [ |
| Parkar, 2007 | UC | Thailand | 3 | 3 | 100 | Mol | [ |
| Awadallah, 2015 | 2013 | Egypt | 130 | 4 | 3.1 | Mic | [ |
| Gonzalez, 2015 | 2011–2012 | Colombia | 175 | 32 | 18.3 | Mic | [ |
| Gillespie, 2017 | 2014–2015 | Australia | 300 | 10 | 3 | Mic | [ |
| Hemalatha, 2014 | 2012 | Malaysia | 32 | 0 | 0 | Mic | [ |
| Noradilah, 2017 | 2014–2015 | Malaysia | 40 | 21 | 52 | Mol | [ |
| Liao, 2020 | 2018 | China | 651 | 35 | 5.4 | Mol | [ |
| Mohammadpour, 2020b | 2016–2018 | Iran | 154 | 29 | 18.8 | Mol | [ |
| Paulos, 2018 | 2014 | Spain | 55 | 0 | 0 | Mol | [ |
| Perera, 2013 | 2010–2011 | Sri Lanka | 90 | 11 | 12.2 | Mic | [ |
| Mokhtar, 2018 | 2015–2016 | Egypt | 21 | 0 | 0 | Mol | [ |
| Wang, 2018 | 2015–2017 | China | 136 | 4 | 2.9 | Mol | [ |
| Villamizar, 2019 | UC | Colombia | 8 | 1 | 12.5 | Mol | [ |
| Boutellis, 2021 | 2018 | Algeria | 19 | 12 | 63.1 | Mol | [ |
| Roberts, 2013 | UC | Australia | 43 | 0 | 0 | Mol | [ |
| Duda, 1998 | UC | Australia | 52 | 35 | 67.3 | Mic | [ |
| Udonsom, 2018 | UC | Thailand | 11 | 0 | 0 | Mol | [ |
| Pagati, 2018 | UC | Indonesia | 90 | 48 | 53.3 | Mic | [ |
| Can, 2021 | UC | Turkey | 465 | 17 | 3.6 | Mol | [ |
| Badparva, 2020 | 2017 | Iran | 120 | 0 | 0 | Mol | [ |
| Arbabi, 2009 | 2004–2005 | Iran | 113 | 19 | 16.8 | Mic | [ |
| Li, 2019 | 2015–2018 | China | 346 | 2 | 0.6 | Mol | [ |
| Ruaux, 2014 | 2012 | USA | 105 | 12 | 11.7 | Mol | [ |
| Khademvatan, 2014 | 2012 | Iran | 140 | 20 | 14.3 | Mic | [ |
| Konig, 1997 | UC | Germany | 13 | 0 | 0 | Culture and Sero | [ |
| Albakri, 2016 | 2014 | Iraq | 50 | 18 | 36 | Mic | [ |
| López, 2006 | 1996–2003 | Chile | 230 | 86 | 37.4 | Mic | [ |
| Okoye, 2014 | 2011–2012 | Nigeria | 119 | 2 | 1.7 | Mic | [ |
| Onder, 2021 | 2020–2021 | Turkey | 200 | 0 | 0 | Mol | [ |
| Parkar, 2007 | UC | Australia | 10 | 0 | 0 | Mol | [ |
| Kwak, 2020 | UC | South Korea | 158 | 1 | 0.6 | Mol | [ |
| Hemalatha, 2014 | 2012 | Malaysia | 24 | 0 | 0 | Mic | [ |
| Mohammadpour, 2020 | 2016–2018 | Iran | 119 | 21 | 17.7 | Mol | [ |
| Paulos, 2018 | 2014 | Spain | 34 | 0 | 0 | Mol | [ |
| Karakavuk, 2021 | 2017 | Turkey | 465 | 49 | 10.5 | Mic | [ |
| Mokhtar, 2018 | 2015–2016 | Egypt | 8 | 0 | 0 | Mol | [ |
Mic Microscopic detection method, Mol molecular detection method, Sero serological detection method, UC unclear
Fig. 2Global prevalence of Blastocystis spp. infection in dogs and cats using a random-effects model and 95% confidence intervals. Abbreviations: CI Confidence interval
Fig. 3Global prevalence of Blastocystis spp. in dogs by country
Fig. 4Worldwide prevalence of Blastocystis spp. in cats by country
Prevalence of Blastocystis sp. in dogs and cats based on examined subgroups
| Subgroup variable | Prevalence,% (95% CI) | Heterogeneity (Cochran’s Q) | I2 (%) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dogs | Cats | Dogs | Cats | Dogs | Cats | Dogs | Cats | Dogs | Cats | |
| Prior to and including 2000 | 23.2 (0.3–96.4) | 26.1 (0.7–94.6) | 10 | 7.5 | 1 | 1 | 90 | 86.6 | ||
| 2001–2005 | 0.5 (0.1–2.2) | 0.3 | 1 | |||||||
| 2006–2010 | 20.1 (3.4–64.6) | 22.3 (9.2–44.8) | 51.2 | 16.8 | 3 | 2 | 94.1 | 88.1 | ||
| 2011–2015 | 4.5 (2.3–8.8) | 6.4 (2.7–14.2) | 138.1 | 13.6 | 14 | 4 | 89.8 | 70.6 | ||
| 2016–2021 | 8.4 (5.2–13.1) | 7 (2.9–15.8) | 189.3 | 217.1 | 18 | 12 | 90.5 | 94.5 | ||
| Africa | 3.7 (1.6–8.4) | 11.4 (0.4–80) | 1.5 | 30.6 | 2 | 2 | 93.4 | |||
| Asia | 6 (3.3–10.4) | 7.2 (3.5–14.2) | 441.4 | 193.9 | 20 | 12 | 95.4 | 93.8 | ||
| Europe | 3.6 (0.8–15.5) | 2.3 (0.3–14.4) | 23.8 | 0.2 | 4 | 1 | 93.2 | 0 | ||
| North America | 5.1 (1.1–20.7) | 11.4 (6.6–19.1) | 4.3 | 0 | 1 | 0 | 76.6 | 0 | N.A | |
| Oceania | 7.5 (0.7–48.3) | 11.3 (0.3–82.9) | 129.9 | 18.5 | 4 | 2 | 96.9 | 89.2 | ||
| South America | 16 (7.7–30.4) | 37.4 (31.4–43.8) | 60.3 | 0 | 5 | 0 | 91.7 | 0 | N.A | |
| AFR | 11.1 (1.5–50) | 15 (0.2–94.2) | 28.9 | 0 | 1 | 0 | 96.5 | N.A | ||
| AMR | 14.6 (7.5–26.3) | 22.2 (6–56.1) | 196.3 | 20.8 | 8 | 1 | 95.9 | 95.2 | ||
| EMR | 3.2 (1–9.3) | 16.8 (10.1–26.6) | 66.7 | 20.2 | 5 | 5 | 92.5 | 75.3 | ||
| EUR | 2.1 (0.5–8.8) | 3.8 (1.4–9.9) | 48.3 | 23.3 | 6 | 4 | 87.6 | 82.8 | ||
| SEAR | 11.3 (4.3–26.5) | 23.4 (1.3–87.6) | 31.9 | 5 | 5 | 1 | 84.3 | 80 | ||
| WPR | 6 (2.2–15.1) | 3.1 (0.2–38.6) | 262.9 | 95.8 | 12 | 5 | 95.4 | 94.8 | ||
| Algeria | 11.1 (1.5–50) | 63.2 (40.3–81.3) | 0 | 0 | 0 | 0 | 0 | 0 | N.A | N.A |
| Argentina | 2.9 (1.8–4.9) | 0 | 0 | 0 | N.A | |||||
| Australia | 7.5 (0.7–48.3) | 11.3 (0.3–82.9) | 129.9 | 18.5 | 4 | 2 | 96.9 | 89.2 | ||
| Cambodia | 1.3 (0.2–8.3) | 0 | 0 | 0 | N.A | |||||
| Chile | 36.1 (33.1–39.2) | 37.4 (31.4–43.8) | 0 | 0 | 0 | 0 | 0 | 0 | N.A | N.A |
| China | 3.4 (1.7–6.7) | 0.6 (0.1–2.3) | 6.5 | 0 | 2 | 0 | 69.4 | 0 | N.A | |
| Colombia | 21.8 (13.9–32.6) | 14.9 | 4 | 73.2 | ||||||
| Cuba | 2.1 (0.5–7.9) | 0 | 0 | 0 | N.A | |||||
| Egypt | 3 (1.2–7.3) | 5.6 (0.3–50.5) | 0.04 | 0 | 1 | 0 | 0 | 0 | N.A | |
| France | 3.4 (1.3–8.8) | 0 | 0 | 0 | N.A | |||||
| Germany | 2.4 (0.1–28.7) | 3.6 (0.2–38.4) | 0 | 0 | 0 | 0 | 0 | 0 | N.A | N.A |
| Greece | 0.7 (0–10) | 0 | 0 | 0 | N.A | |||||
| India | 23.8 (15.7–34.3) | 0 | 0 | 0 | N.A | |||||
| Indonesia | – | 53.3 (43–63.4) | 0 | 0 | 0 | N.A | ||||
| Iraq | – | 36 (24–50.1) | 0 | 0 | 0 | N.A | ||||
| Iran | 3.4 (0.9–11.7) | 14.7 (9.4–22.1) | 51.5 | 7.8 | 3 | 3 | 94.1 | 61.8 | ||
| Italy | 21.2 (14.3–30.4) | – | 0 | 0 | N.A | |||||
| Japan | 0.9 (0.1–12.9) | – | 0 | 0 | N.A | |||||
| Malaysia | 14 (0.3–91.3) | 2 (0.1–25.1) | 8.5 | 0 | 1 | 0 | 88.3 | 0 | N.A | |
| Nigeria | – | 1.7 (0.4–6.5) | 0 | 0 | 0 | N.A | ||||
| Philippines | 13.8 (9.1–20.4) | – | 0 | 0 | 0 | N.A | ||||
| South Korea | – | 0.6 (0.1–4.4) | 0 | 0 | 0 | N.A | ||||
| Spain | 1.1 (0.4–3.1) | 1.4 (0.1–19.1) | 0.026 | 0 | 1 | 0 | 0 | 0 | N.A | |
| Sri Lanka | 8.3 (2.8–21.9) | – | 2.3 | 1 | 57.1 | |||||
| Thailand | 15.4 (1.2–73.7) | 4.2 (0.3–42.5) | 12.7 | 0 | 2 | 0 | 84.3 | 0 | N.A | |
| Turkey | 0.2 (0–3.8) | 4.2 (1.3–12.6) | 0 | 21.5 | 0 | 2 | 0 | 90.7 | N.A | |
| USA | 9.7 (5.3–17.1) | 11.4 (6.6–19.1) | 0 | 0 | 0 | 0 | 0 | 0 | N.A | N.A |
| ≤ 50 | 18.6 (8.6–35.8) | 14.3 (5.9–30.8) | 35.2 | 45.5 | 10 | 9 | 71.6 | 80.2 | ||
| 51–100 | 5.8 (2.2–14.4) | 67.3 (53.6–78.6) | 139.2 | 0 | 11 | 0 | 92.1 | 0 | N.A | |
| 101–200 | 6.7 (3.7–11.7) | 6.7 (3.5–12.6) | 58.6 | 38 | 8 | 7 | 86.3 | 81.6 | ||
| 201–300 | 2.2 (0.8–6) | 37.4 (31.4–43.8) | 2.7 | 0 | 1 | 0 | 63.2 | 0 | N.A | N.A |
| 301–400 | 2.8 (0.3–22.9) | 0.6 (0.1–2.3) | 49.4 | 507.8 | 2 | 0 | 95.9 | 0 | N.A | |
| > 400 | 5.2 (1.5–16.4) | 6.4 (2.2–17.1) | 305 | 15.3 | 4 | 1 | 98.7 | 93.5 | ||
N.A Non-applicable
Fig. 5Weighted frequency of each Blastocystis STs in dogs using the random-effects model. Abbreviation: ST, Subtype
Worldwide distribution of Blastocystis subtypes in dogs and cats reported in 19 molecular studies (25 datasets)
| Author, year ( | Total samples ( | Infected samples ( | Prevalence (%) | Subtyping of infected samplesa | Zoonotic subtypesd ( | |
|---|---|---|---|---|---|---|
| Subtypedb ( | Unidentifiedc ( | |||||
| Dogs | ||||||
| Boutellis, 2021 (2 datasets) | 9 | 1 | 11.1 | – | 1/100 | – |
| Osman, 2015 | 116 | 4 | 3.4 | ST2 (2/50), ST10 (2/50) | – | Feb-50 |
| Udonsom, 2018 (2 datasets) | 13 | 1 | 7.7 | ST3 (1/100) | – | 1/100 |
| Ramirez, 2014 | 40 | 15 | 37.5 | ST2 (15/100) | – | 15/100 |
| Wang, 2013 (1 dataset) | 80 | 2 | 2.5 | ST1 (2/100) | – | 2/100 |
| Wang, 2013 (2 datasets) | 80 | 1 | 1.3 | ST2 (1/100) | – | 1/100 |
| Wang, 2013 (3 datasets) | 80 | 19 | 24 | ST1 (9/47.4), ST4 (2/10.5), ST5 (1/5.3), ST6 (7/36.8) | – | 19/100 |
| Belleza, 2016 | 145 | 20 | 13.8 | ST2 (1/5), ST3 (2/10), ST4 (2/10), ST5 (2/10), ST1/ST3 (1/5), ST2/ST3 (1/5), ST4/ST5 (1/5) | Oct-50 | Oct-50 |
| Li, 2016 | 315 | 6 | 1.9 | ST1 (2/33.3), ST1/ST2 (4/66.7) | – | 6/100 |
| Ruaux, 2014 (2 datasets) | 103 | 10 | 9.7 | ST1 (2/20), ST10 (2/20) | Jun-60 | 20-Feb |
| Higuera, 2021 | 4 | 2 | 50 | ST23/ST24 (1/50) | Jan-50 | – |
| Gazzonis, 2019 | 99 | 21 | 21.2 | ST3 (21/100) | – | 21/100 |
| Parkar, 2007 (2 datasets) | 20 | 2 | 10 | ST1 (1/50) | Jan-50 | Jan-50 |
| Parkar, 2007 (3 datasets) | 3 | 3 | 100 | ST5 (3/100) | – | 3/100 |
| Noradilah, 2017 | 40 | 21 | 52 | ST1 (5/23.8), ST3 (7/33.3), ST4 (4/19), ST8 (4/19), ST10 (1/4.8) | – | 20/95.2 |
| Liao, 2020 | 651 | 35 | 5.4 | ST1 (6/17.1), ST3 (28/80), ST10 (1/2.8) | – | 34/97.1 |
| Mohammadpour, 2020 (2 datasets) | 154 | 29 | 18.8 | ST2 (8/27.6), ST3 (11/37.9), ST4 (3/10.3), ST7 (3/10.3), ST8 (2/6.9), ST10 (2/6.9) | – | 27/93.1 |
| Wang, 2018 | 136 | 4 | 2.9 | ST1 (3/75), ST4 (1/25) | – | 4/100 |
| Villamizar, 2019 | 8 | 1 | 12.5 | ST1 (1/100) | – | 1/100 |
| Cats | ||||||
| Boutellis, 2021 (1 dataset) | 19 | 12 | 63.1 | ST2 (3/25), ST3 (1/8.3) | 8/66.7 | 4/33.3 |
| Can, 2021 | 465 | 17 | 3.6 | ST4 (7/41.2) | 10/58.8 | 7/41.2 |
| Li, 2019 | 346 | 2 | 0.6 | ST1 (2/100) | – | 2/100 |
| Ruaux, 2014 (1 dataset) | 105 | 12 | 11.7 | ST1 (1/8.3), ST3 (1/8.3), ST10 (4/33.4) | Jun-50 | 2/16.7 |
| Kwak, 2020 | 158 | 1 | 0.6 | ST4 (1/100) | – | 1/100 |
| Mohammadpour, 2020 (1 dataset) | 119 | 21 | 17.7 | ST1 (5/23.8), ST3 (7/33.3), ST4 (4/19), ST10 (3/14.3), ST14 (2/9.5) | – | 16/76.2 |
aOut of the positive samples of Blastocystis,
bSome have been subtyped
cSome have not been subtyped or not determined
dThe number and percentage of zoonotic subtypes are computed for ST1-ST8
Fig. 6Overall prevalence of each Blastocystis subtype in cats using a random-effects model
Fig. 7A funnel plot representing publication bias in the present systematic review and meta-analysis