| Literature DB >> 29029610 |
Hua Liu1, Zhihua Jiang2, Zhongying Yuan1, Jianhai Yin1, Zunfu Wang3, Bingxue Yu3, Dongsheng Zhou4, Yujuan Shen5, Jianping Cao6.
Abstract
BACKGROUND: Enterocytozoon bieneusi has been increasingly reported to infect humans and various mammals. Microsporidia cause diarrhea in HIV-infected patients worldwide. PCR amplification and sequencing based on the internal transcribed spacer region have been used to describe the genotypes of E. bieneusi and transmission of microsporidiosis.Entities:
Keywords: Enterocytozoon bieneusi; Genotype; HIV/AIDS; Risk factors
Mesh:
Substances:
Year: 2017 PMID: 29029610 PMCID: PMC5640944 DOI: 10.1186/s12879-017-2787-9
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Risk factors in the occurrence of Enterocytozoon bieneusi in HIV/AIDS patients
| Risk factor | Number | Infection number | Infection rate (%) | χ2 |
|
|---|---|---|---|---|---|
| Population | |||||
| HIV/AIDS | 285 | 33 | 11.6 | 37.170 | <0.01 |
| Control | 303 | 0 | 0 | ||
| Gender | |||||
| Male | 216 | 27 | 12.5 | 0.739 | 0.390 |
| Female | 69 | 6 | 8.7 | ||
| Age group(years) | |||||
| < 40 | 93 | 12 | 13.0 | 0.268 | 0.875 |
| 40–60 | 113 | 12 | 10.7 | ||
| > 60 | 79 | 9 | 11.4 | ||
| Occupation | |||||
| Farmer | 217 | 31 | 14.3 | 6.366 | 0.012* |
| Others | 68 | 2 | 2.9 | ||
| Education | |||||
| Primary | 38 | 2 | 5.3 | 3.601 | 0.165 |
| Middle | 123 | 19 | 15.4 | ||
| Senior | 124 | 12 | 9.7 | ||
| Course of disease | |||||
| HIV | 32 | 5 | 15.6 | 0.550 | 0.458 |
| AIDS | 253 | 28 | 11.1 | ||
| CD4+ cell count | |||||
| CD4 ≥ 200 | 49 | 4 | 8.2 | – | 1.000 |
| CD4 < 200 | 119 | 11 | 9.2 | ||
| HAART treat | |||||
| Yes | 119 | 12 | 9.2 | 1.48 | 0.224 |
| No | 131 | 21 | 13.8 | ||
| Transmission route | |||||
| Sexual transmission | 240 | 29 | 12.1 | 0.274 | 0.601 |
| Others | 45 | 4 | 8.9 | ||
| Marital status | |||||
| Married or cohabiting | 214 | 29 | 13.6 | 3.155 | 0.076 |
| Single | 71 | 4 | 5.6 | ||
| Unboiled water | |||||
| Yes | 19 | 5 | 26.3 | 4.282 | 0.039* |
| No | 266 | 28 | 10.5 | ||
Note: *Chi-square analysis of different risk factors for the rates of infection Enterocytozoon bieneusi by the three parasites; P < 0.05
Primers used for PCR amplification of ITS gene
| Primer name | Primer sequence(5′-3′) | Fragment size |
|---|---|---|
| ITSF1 | GATGGTCATAGGGATGAAGAGCTT | |
| ITSR1 | AATACAGGATCACTTGGATCCGT | ~410 |
| ITSF2 | AGGGATGAAGAGCTTCGGCTCTG | |
| ITSR2 | AATATCCCTAATACAGGATCACT | ~390 |
Enterocytozoon bieneusi genotypes in the HIV/AIDS patients in Guangxi, China
| Genotype | No. of people infected | Major host |
|---|---|---|
| D | 11 | Humans, Pig, Cattle, Monkey |
| Type IV/K | 8 | Humans, Pig, Cat, Monkey |
| PigEBITS7 | 7 | Humans, Pig, Monkey |
| Ebpc | 4 | Humans, Pig, Monkey |
| GX25 | 1 | Humans |
| GX456 | 1 | Humans |
| GX458 | 1 | Humans |
Fig. 1Phylogenetic relationship between the Enterocytozoon bieneusi genotype groups. The relationship between the E. bieneusi genotypes identified in this study and other known genotypes deposited in GenBank was inferred using neighbor-joining analysis of ITS sequences on the basis of genetic distance by the Kimura two-parameter model. The numbers on the branches are percentage bootstrapping values from 1000 replicates. Each sequence was identified by its accession number, host origin, and genotype designation. The group terminology for the clusters is based on the study by Zhao et al.(2014). The solid and open circles indicate novel and known genotypes identified in this study, respectively
Genotypes of Enterocytozoon bieneusi in HIV/AIDS patients on the basis of geographical locations worldwide
| Geographical area | No. of positive cases/No. of examined cases (%) | Genotype (n) | Reference |
|---|---|---|---|
| Peru | 105/2672(3.9) | Peru-1 (35), Peru-2 (18), Peru-3 (1), Peru-4 (1), Peru-5 (3), Peru-6 (1), Peru-7 (8), Peru-8 (4), Peru-9 (9), Peru-10 (3), Peru-11 (6) | [ |
| Nigeria (Benin City) | 77/463(16.6) | D (31); A (22); TypeIV (14); CAF 2 (2); Eebp A(1); Peru 8 (1); D + IV (1); Nig1 to Nig4 (one each) | [ |
| Nigeria (Lagos) | 5/90(5.6) | TypeIV (4); one mixed with two unknown genotypes | [ |
| Nigeria (Ibadan) | 10/132(7.6) | Peru 8 (1); Nig2 (2); new genotype (1); D (1); TypeIV (5); | [ |
| Thailand | 5/90(5.6%) | D(5) | [ |
| Iran | 6/15(40) | D (3); E (3); | [ |
| Nigeria (Benin City) | 18/285(6.3) | Nig4 (2); TypeIV (1); Nig6 (10); Nig7 (2); three with mixed genotypes | [ |
| Tunisiana | – | D (4);B (2); Peru (1) | [ |
| Congo (Kinshasa) | 19/242(7.8) | NIA1 (2); D (2); KIN1 (5); KIN2 (5); KIN3 (5); | [ |
| Iran | 8/356(2.2) | D (−); K (−); | [ |
| Cameroon | 8/154(5.2) | TypeIV (8); | [ |
| Australia (Sydney) | 29/159(18.2) | B (29); | [ |
| Niamey | 24/228(10.5) | A (10); K (1); CAF1 (2); NIA1 (3); D (1); | [ |
| Hanoi | 3/42(7.1) | D (1); E (1); HAN1 (1) | [ |
| Thailanda | – | D (12);E (5); PigEBITS7 (4); S (4); Peru (2); O (1); R (1); T (1); U (1); V (1); W (1); | [ |
| China (Henan) | 39/683 (5.7) | EbpC (18); D (7); TypeIV (6); PigEBITS7 (1); EbpD (1); Peru8 (1); Henan-I to Henan-V (one each) | [ |
| Malawi and Netherlandsa | – | A(1), B(4), C(5), D(6), K(14), S1(2), S2(11), S3(2), S4(1), S5(4), S6(2); S7(1), S8(1), S9(1), 2 unnamed subtypes | [ |
| India | – | Lnd1–4 | [ |
| China (Guangxi) | 33/285(11.6) | D (11); TypeIV (8); PigEBITS7 (7); EbpC (1); GX25 (1); GX456 (1); GX458 (1) | The present study |
Note: aThe sample sizes were not mentioned in the study