| Literature DB >> 35865179 |
Nusrat Jahan Nipa1, Nasima Aktar2, Hasina M Hira3, Farhana Akter4, Dilshad Jahan5, Salequl Islam6, Ayukafangha Etando7, Adnan Abdullah8, Kona Chowdhury9, Rahnuma Ahmad10, Ahsanul Haq11, Mainul Haque12.
Abstract
Introduction Gastrointestinal parasitic infections are one of the global health concerns in developing countries like Bangladesh. Among them, Cryptosporidium spp. plays an essential role in causing diarrhea, malnutrition, and poor cognitive function, especially in children. This study was conducted to identify the frequency of Cryptosporidium cases and other parasitic agents. Methods A cross-sectional observational study was conducted among 219 hospitalized children with diarrhea. The conventional microscopic technique was applied for parasitic detection. Particular staining (modified Ziehl-Neelsen) procedure was performed to identify oocysts of Cryptosporidium spp. A polymerase chain reaction (PCR) was performed to determine the SSU rRNA and gp60 gene of Cryptosporidium. Results Cysts of Giardia duodenalis (2.3%), ova of Ascaris lumbricoides (1.4%,), Trichuris trichiura (0.5%), and both A. lumbricoides and T. trichiura (0.9%) were identified in samples through wet mount preparation. The distribution of Cryptosporidium spp. as detected by the staining method and nested PCR was 1.4% and 4.1%, respectively. Conclusion Factors independently associated with Cryptosporidium infection are unsafe water, lack of regular hand washing, and insufficiency of exclusive breastfeeding. This study reports, presumably for the first time, the detection of Cryptosporidium oocysts in Chattogram metropolitan city of Bangladesh.Entities:
Keywords: chattogram; contagions; cryptosporidiosis; cryptosporidium infection; diseases; intestinal parasitic; pediatric patients
Year: 2022 PMID: 35865179 PMCID: PMC9293268 DOI: 10.7759/cureus.26927
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Flowchart depicting the macroscopic study plan
Figure 2The steps of laboratory methods employed
PCR: polymerase chain reaction
Figure 3Steps of modified Ziehl-Neelsen stain
HCl: hydrochloric acid
Primers used for SSU rRNA and gp60 genes of Cryptosporidium species
| Primer name | Primer sequence (5’-3') | Size | ||
|
| First Set Primer | XF2 | F-GGAAGGGTTGTATTTATTAGATAAAG | 830 bp |
| XR2 | R-AAGGAGTAAGGAACAACCTCCA | |||
| Second Set Primer | PSSUf | F-AAAGCTCGTAGTTGGATTTCTGTT | 240 bp | |
| PSSUr | R-ACCTCTGACTGTTAAATACRAATGC | |||
|
| First Set Primer | gp15-ATG | F-ATGAGATTGTCGCCTCATTATC | 412 bp |
| gp15-STOP | R-TTACAACACGAATAAGGCTGC | |||
| Second Set Primer | gp15-15A | F-GCCGTTCCACTCAGAGGAAC | 350 bp | |
| gp15-15E | R-CCACATTACAAATGAAGTGCCGC |
Cyclic conditions used for nested PCR
PCR: polymerase chain reaction
| Name of Gene | Steps of PCR | Initial denaturation | Primer annealing | Extension | Final extension |
| SSU | 1st Round PCR | 94°C for 5 minutes followed by 30 cycles of denaturation at 940C for 45 seconds | 45°C for 2 minutes | 72°C for 1.5 minutes | 72°C for 10 minutes |
| 2nd Round PCR | 94°C for 5 minutes followed by 35 cycles of denaturation at 940C for 30 seconds | 55°C for 30 seconds | 72°C for 30 seconds | 72°C for 10 minutes | |
| gp60gene | 1st Round PCR | 94°C for 5 minutes followed by 35 cycles of denaturation at 94°C for 30 seconds | 55°C for 45 seconds | 72°C for 1 minute | 72°C for 10 minutes |
| 2nd Round PCR | 94°C for 5 minutes followed by 30 cycles of denaturation at 94°C for 30 seconds | 55°C for 30 seconds | 72°C for 30 seconds | 72°C for 10 minutes |
Figure 4Flowchart of nested PCR
PCR: polymerase chain reaction; UV: ultraviolet
Distribution of study population by age (n=219)
| Age Group | Frequency | Infected cases n(%) | Total cases (n) and percentage (%) |
| <1 | 66 | 2 (22.22%) | 30.1% |
| 1-5 | 103 | 7 (77.78%) | 47.0% |
| 6-10 | 37 | 0 | 16.9% |
| 11-15 | 11 | 0 | 5.0% |
| 15-18 | 02 | 0 | 0.9% |
| Total | 219 | 9 | 100% |
Detection of parasites by wet mount in the study population (n=219)
| Parasites | Frequency | Percentage (%) |
| Giardia duodenalis | 05 | 2.3 |
| Ascaris lumbricoides | 03 | 1.4 |
| Trichuris trichiura | 01 | 0.5 |
|
| 02 | 0.9 |
| No parasite | 208 | 95 |
| Total | 219 | 100 |
Association of microscopic findings of Cryptosporidium with nested PCR (n=219)
p-value derived from chi-square test. Figures within parentheses indicate the percentage.
| Microscopic findings | Nested PCR findings | Total | p value | |
| (+ve) | (-ve) | |||
| Modified Ziehl-Neelsen staining | ||||
|
| 03 (33.3%) | 00 (0.0%) | 03 | |
|
| 06 (66.7%) | 210 (100%) | 216 | <0.001 |
| Total | 09 | 210 | 219 | |
Figure 6Distribution of Cryptosporidium spp. by nested PCR (n=219)
PCR: polymerase chain reaction
Figure 7Bands of amplified DNA of Cryptosporidium spp.
Figure 8Bands of amplified DNA of Cryptosporidium spp.
Multivariate logistic regression to determine the independent factors associated with Cryptosporidium infection
A multivariate logistic regression model was used to estimate the p-value. The regression model was adjusted by age and sex
CI: confidence interval; OR: odds ratio; s: significant, ns: not significant
| Variables | Number of samples for each category | Number of positive | Adjusted OR (95% CI) | P-value |
| Gender | ||||
| Male | 125 (57.1%) | 5 (55.6%) | 1 | |
| Female | 94 (42.9%) | 4 (44.4%) | 1.02 (0.26, 3.94) | 0.972 |
| Drinking water | ||||
| Safe (boiled or appropriate filteratrate) | 142 (64.8%) | 3 (33.3%) | 1 | |
| Unsafe | 77 (35.2%) | 6 (66.7%) | 3.91(1.05, 16.1) | 0.049 |
| Hand Washing | ||||
| Regular | 154 (70.3) | 2 (22.2%) | 1 | |
| Irregular | 65 (29.7) | 7 (77.8%) | 9.68(1.92, 48.4) | 0.006 |
| Residence | ||||
| Urban | 152 (69.4%) | 4 (44.4%) | 1 | |
| Rural | 67 (30.6%) | 5 (55.6%) | 3.46 (0.86, 13.9) | 0.081 |
| Breast feeding | ||||
| Exclusive | 141 (64.4%) | 3 (33.3%) | 1 | |
| Not exclusive | 78 (35.6%) | 6 (66.7%) | 3.82 (1.01, 15.3) | 0.049 |
| H/O having pet | ||||
| No | 178 (81.3%) | 6 (66.7%) | 1 | |
| Yes | 41 (18.7%) | 3 (33.3%) | 0.41 (0.10, 1.79) | 0.237 |