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Article

Prevalence and Associated Factors of Blastocystis sp. Infection in Patients with Gastrointestinal Symptoms in Spain: A Case-Control Study

by
Cristina Matovelle
1,2,
María Teresa Tejedor
3,4,*,
Luis Vicente Monteagudo
3,5,
Antonio Beltrán
2,6 and
Joaquín Quílez
5,7
1
Faculty of Medicine, University of Zaragoza, 50009 Zaragoza, Spain
2
Environmental Sciences Institute (IUCA), University of Zaragoza, 50009 Zaragoza, Spain
3
Department of Anatomy, Embryology and Animal Genetics, Faculty of Veterinary Sciences, University of Zaragoza, 50013 Zaragoza, Spain
4
Aragon Institute of Health Sciences (IACS), CIBERCV, 50009 Zaragoza, Spain
5
AgriFood Institute of Aragon (IA2), 50013 Zaragoza, Spain
6
Service of Microbiology and Parasitology, Hospital Clínico Universitario Lozano Blesa, 50009 Zaragoza, Spain
7
Department of Animal Pathology, Faculty of Veterinary Sciences, University of Zaragoza, 50013 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2022, 7(9), 226; https://doi.org/10.3390/tropicalmed7090226
Submission received: 5 August 2022 / Revised: 29 August 2022 / Accepted: 1 September 2022 / Published: 3 September 2022
Browse Figure
Versions Notes

Abstract

:
Blastocystis sp. is known to be the most prevalent parasite in fecal samples of humans worldwide. In the present report, a case–control study (1:9.89 (≈10)) was performed, by analyzing data from 3682 patients who attended a public hospital in the northern area of Spain showing gastrointestinal symptoms. Diagnosis was performed in human fecal samples by means of optical microscopy. The prevalence of Blastocystis sp. in patients with gastrointestinal symptoms was 9.18% (338/3682). Most of the Blastocystis sp.-infected patients tested negative for protozoa and helminths, and were underweight and foreign-born (26.4%), mainly from Africa and Central/South America. Gastrointestinal symptoms, such as abdominal pain, anorexia, halitosis, plus relative eosinophilia, as well as co-infections with pathogenic bacteria were associated with Blastocystis sp. infection. Both type 2 diabetes and treatment with immunosuppressive medicines at the time of Blastocystis sp. detection were associated with a higher proportion of infected patients. This is the first case–control study of Blastocystis sp. in humans in northern Spain and may contribute to surveillance and intervention strategies by public health authorities.

1. Introduction

Blastocystis sp. is the most prevalent enteric protist reported in human fecal samples [1,2]. Over one billion people are estimated to be infected with Blastocystis sp. worldwide, especially in developing countries, where infection frequencies exceeding 50% are commonly reported, and even up to 100% in some tropical countries [3,4,5]. Conversely, the prevalence is significantly lower in developed countries (10–15%) [6]. The variations in prevalence between studies could be attributed to different factors, including the use of different diagnostic approaches in clinical microbiology laboratories, with many largely underestimating the prevalence in the context of enteric parasite diagnosis [7,8]. Nevertheless, it is well known that the high prevalence of this protist in developing countries is related to socioeconomic factors that lead to poor sanitation and higher potential sources of infection, including human-to-human, zoonotic, and waterborne transmission [9].
Although this parasite was discovered more than a century ago, its pathogenic mechanisms still remain under discussion. Several studies support the pathogenic potential of Blastocystis sp. in humans by reporting gastrointestinal symptoms, such as abdominal pain, diarrhea or vomiting, as well as a diverse spectrum of cutaneous symptoms, mainly urticaria, in the absence of any other cause of sickness identified in patients [10,11]. In contrast, some other studies did not report conclusive evidence for the pathogenic role of Blastocystis sp. and consider this protist a common microorganism of healthy intestinal microbiota [12,13]. In the last decade, an increasing number of studies have explored the genetic diversity of Blastocystis sp. in humans. A total of 33 different subtypes have been reported to date in humans and animals based on variations in the small subunit ribosomal RNA (SSU-rDNA) gene [14]. However, not all strains of a specific subtype are clinically relevant and a possible correlation between the different subtypes and their pathogenic potential is still strongly debated [15,16,17].
Multiple risk factors have been reported for Blastocystis sp. human infections, including poor hygiene conditions, not washing hands after using toilets, drinking non-tap water and contact with animals [18,19]. The prevalence of the parasite was also correlated with a low socioeconomic status, low education and poor health conditions [20]. Age, nutritional status and some clinical conditions (anemia, irritable bowel syndrome) have also been linked to Blastocystis sp. infections [19,21]. In European countries, travelling abroad or infections with other enteric parasites significantly increase the risk of having a positive result for Blastocystis sp [17,22,23].
In Spain, studies on the prevalence and risk factors of Blastocystis sp. infection in humans are limited and mostly focused on specific groups of the population. Studies in asymptomatic and symptomatic children have revealed prevalence rates of 5.3–19.4% using microscopy and/or PCR-based techniques, and up to 27.8% of adult patients tested positive for Blastocystis sp. using both diagnostic methods [24,25,26,27]. Adult age, working with the public, being African and travelling to other countries have been reported to significantly increase the risk of having a positive diagnosis of Blastocystis sp., while good hygiene practices, such as hand or vegetable washing, have been recommended to minimize the risk [23,26,28,29]. Few studies in Spain have analyzed the relationships of this parasite with the presence of digestive symptoms, which was not found as a significant factor in patients older than 18 years [23]. The current case–control study was aimed to analyze the prevalence of Blastocystis sp. in patients of different age groups with gastrointestinal manifestations in northern Spain. In addition, co-infection of Blastocystis sp. and other species of pathogenic bacteria, helminths and protozoa were analyzed. Multiple variables, including anthropometric, socio-demographic and clinical data, were analyzed as potential associated factors with Blastocystis sp. infection.

2. Materials and Methods

2.1. Ethics Approval Statement

The present study was performed following the guidelines of the Declaration of Helsinki in 1975, revised in 2013. All procedures performed in this study were approved by the Ethics Committee of Aragón (ref 18/081) before undertaking this research to confirm that the study meets national and international guidelines. A signed informed consent was obtained from every participating patient before they participated in the study, and patients were completely anonymized by the researchers. All the authors ensure that this study is HIPAA (Health Insurance Portability and Accountability Act, 1996) compliant. The researchers followed every mandatory (health and safety) procedure.

2.2. Study Population

The study was conducted using fecal specimens from patients with gastrointestinal illness submitted for microbiological and parasitological diagnosis to the Microbiology and Parasitology Department of the Hospital Clínico Universitario Lozano Blesa (Zaragoza, Spain) in 2018. This is a public hospital that cares for a combined urban and rural population of more than 274,000 citizens in Zaragoza. Increasing immigrations rates have been reported in this sanitary area in the last few years. Individuals born in foreign countries, mainly from tropical and subtropical regions, and those that have access to the Spanish universal health coverage were also included in this study. Overall, 6087 specimens from 3682 patients were analyzed for both stool culture and parasitological diagnosis from 1 January 2018 to 31 December 2018. Patients were defined as cases if they tested positive for Blastocystis by microscopy and patients with negative results were defined as controls. The mean age of the individuals selected as cases and controls was 30.18 ± 1.294 years (range: 1 to 100 years).
Demographic, anthropometric and medical variables from all patients were obtained using (1) the Modulab© Werfen Gold version 2.0 laboratory computer program (Werfen Spain, L’Hospitalet de Llobregat, Barcelona. Spain), and (2) the Intranet electronic program (website of the Aragón Healthcare Service). The categorical variables analyzed for association with Blastocystis sp. infection were as follows:
-
Demographic origin: Spain, rest of Europe, Africa, America and Asia;
-
Age group: ≤16 years and >16 years;
-
Sex: male and female;
-
Categorized body mass index (BMI): underweight (<18.4 Kg/m2), normal weight (18.5–24.9 Kg/m2), overweight (25–29.9 Kg/m2) and obesity 30–>40 Kg/m2);
-
Immunosuppressive treatment: chemotherapy, monoclonal antibodies, antiretroviral drugs, nucleoside analogs, corticosteroids;
-
Gastrointestinal symptoms: diarrhea, abdominal pain, nausea, vomiting, constipation, anorexia, fever, aerophagia, halitosis, urticaria, anal itching and dyspepsia;
-
Co-morbidities: celiac disease (CD), type 2 diabetes, IBS (irritable bowel syndrome) and cancer;
-
Laboratory parameters: glucose (normal range: 82–115 mg/dL), glycosylated hemoglobin (normal range: 4.6–5.7%), hemoglobin (normal range: 12–15.3 g/dL) and relative eosinophilia (percentage of eosinophils on total leukocyte count, normal range: 2–10%);
-
Co-infection with pathogenic bacteria or other enteric protozoa or helminths.
-
Age and BMI were also analyzed as continuous variables.
It should be noted that some of these variables were not available for all positive patients.

2.3. Stool Examination

The standard procedure for Blastocystis sp. diagnosis in the Clinical Microbiology and Parasitology laboratory in the Hospital Clínico Universitario Lozano Blesa was applied. Briefly, fecal specimens were concentrated by the SAF (sodium acetate-acetic acid -formalin) sedimentation method and examined by light microscopy. Three stool wet-mount preparations for each fecal specimen were evaluated for the presence of Blastocystis sp., as well as protozoa and helminths. The entire preparations from left to right and from top to bottom were examined with 10× and 40× optical objective lenses. Diagnosis of Blastocystis sp. was based on the morphology of the parasites observed in the preparation [1,30]. The Ziehl–Neelsen modified technique was used to screen for Cryptosporidium oocysts. Those patients that submitted repeated fecal samples on days 1-3-5 were considered positive for Blastocystis sp. if any of the samples were positive.
Furthermore, optical microscopic examination detected several microorganisms, such as Protozoa (Cryptosporidium spp., Dientamoeba spp., Encephalitozoon hellem, Entamoeba spp., Giardia lamblia and Isospora belli), and Helminths (Ascaris lumbricoides, Enterobius vermicularis, Hymenolepis nana, Schistosoma intercalatum, Strongyloides stercolaris, Taenia saginata and Trichuris trichiura) [30].
For the microbiological stool analysis, samples were cultured using Hektoen agar (Biomerieux®, Hazelwood, MO, USA), Mac Conkey (Biomerieux®, Hazelwood, MO, USA), CCDA agar (Biomerieux®, Hazelwood, MO, USA), and selenite broth with reseeding on Hektoen after incubation for 16 h. In patients with blood in the samples, seeding in Mac Conkey/sorbitol agar was added. Incubations were carried out at 37 °C, except for CCDA agar, which was incubated at 45 °C in anaerobiosis [31]. MALDI-TOF MS was used to identify bacteria at the species level (Campylobacter sp., Arcobacter butzleri, Aeromonas sp., Salmonella sp., Shiguella sp., Yersinia sp., Escherichia coli) [32].

2.4. Data Analysis

Statistical analyses were carried out using the IBM SPSS Statistics 26.0 software package (IBM Corp., Armonk, NY, USA). For categorical variables, proportions and percentages were calculated; Pearson’s chi-squared (with continuity correction for 2 × 2 tables) or, alternatively, Fisher’s exact test (expected number < 5) was used for comparisons between the case and control groups. For multiple comparisons (more than two categories), Bonferroni correction was used. Age (years), BMI (kg/m2) and blood parameters (concentrations of glucose, glycosylated hemoglobin and hemoglobin and relative eosinophilia) were submitted to the Shapiro–Wilks test to assess their normal distribution. Age was summarized by mean and SE, while the median and interquartile range (IQR) were used to summarize the rest of quantitative variables. T-test was used for comparing ages between the cases and controls, while the Mann–Whitney U test was applied for comparisons involving the rest of the quantitative variants. p values < 0.05 were considered as statistically significant.
Twenty-one variables are considered in the study of co-infections (20 variables for pathogenic bacteria, helminths and protozoa, plus 1 variable for Blastocystis). They were categorical variables, codified as 0 and 1 (absence or presence of a particular pathogen, respectively). Principal component analysis (PCA) was used to reduce a large set of variables for co-infections into a smaller set of variables (principal components), accounting for most of the variance in the original variables; PCA provided a basis of statistical significance to the presence of two or more microorganisms in the same individual. Microorganisms present only in few individuals or those that lacked a relationship with each other were eliminated from the study; the co-infection in these cases could be merely a fortuitous event. The KMO index (Kaiser–Meyer–Olkin index) measures the linear relationship between the variables; the KMO index for a particular variable must be >0.5 for that variable to be considered for the PCA [33]. The eigenvalue-one criterion [34] and the scree plot [35] were used in order to decide the number of components to be retained. Orthogonal rotation (varimax) was chosen. Since we are interested in grouping individuals on the basis of co-infections, a cluster analysis was applied on the retained principal components. Initially, a hierarchical agglomerative procedure was used, creating the clusters by means of Ward’s method to define the number of clusters by the elbow rule. Then, the k-means procedure was used to form the clusters [36]. These clusters are groups of individuals that share similar characteristics about co-infections (or absence of co-infections); hence, the parasitic characteristics of these clusters can be interpreted as the most interesting co-infections (or absence of co-infections), based on their frequencies and the significant association of the involved parasites.
Those variables that showed significant differences between the cases and controls were chosen for logistic regression analysis. The association of these variables (independent variables) with case/control status (dependent dichotomous variable; value labels: case = 1, control = 0) was ascertained by binomial logistic regression. The model was adjusted using a stepwise procedure (method: forward; Wald test); the significance levels for the variables to enter and to be removed were p ≤ 0.05 and p ≥ 0.10, respectively [37]. Nagelkerke R2 was used to estimate how much variation in the dependent variable can be explained by the model. The model’s ability to discriminate between cases and controls was assessed by its accuracy parameters, which were as follows: sensitivity (Sn: true positive rate), specificity (Sp: true negative rate), positive and negative predictive values (PPV and NPV: proportions of positive and negative results in diagnostic tests that are true positive and true negative results, respectively) [38]. The overall measure of discrimination was represented by the area under the receiver operating characteristics (ROC) curve [39]. The 95% confidence interval (95% CI) was estimated for both accuracy parameters and area under the ROC curve.

3. Results

Fecal specimens from 338 of 3682 patients (9.18%) tested positive for Blastocystis sp. infection and were included as cases. Figure 1 shows a microscope field obtained in a Blastocystis positive sample.
The control group consisted of 3344 patients negative for this parasite. The case–control ratio group was 1: 9.89 (≈10). Table 1 shows the distribution of the demographic/anthropometric parameters and treatment with immunosuppressive drugs in positive and negative Blastocystis sp.-infected patients. Most of the variables showed statistically significant differences between the cases and controls. In relation to the geographical origin, the percentage of patients from Spain was significantly lower in the cases than in the controls, while the situation was reversed in the patients from other countries, with significant differences in those from Africa, America (Central and South America, plus one Blastocystis negative patient from USA). When age was categorized based on a 16 years cut-off (child vs. adult), no significant difference was detected between cases and controls; in contrast, the cases were significantly younger than controls when age was considered as a quantitative variable. Underweight individuals were significantly more common in the cases than in controls; in contrast, both normal weight and overweight persons were significantly more frequent in the controls. The BMI as a quantitative variable also differed significantly between cases and controls, with lower values in the cases. Immunosuppressive treatment with chemotherapy, monoclonal antibodies or antiretroviral drugs were significantly more common in the cases than in controls, but treatment with corticosteroids was more frequent in the controls. Sex and proportion of patients undergoing treatment with nucleoside analogs did not differ between cases and controls.
The clinical symptoms, underlying diseases, co-infections with pathogenic bacteria or other enteric parasites and laboratory test results in the cases and controls are summarized in Table 2. Most symptoms were significantly more common in the cases than in controls, including abdominal pain, nausea, anorexia, aerophagia, halitosis, urticaria, anal itching and dyspepsia. In contrast, the presence of diarrhea, and fever was more common in the controls than in cases, with statistically significant differences in the presence of fever. No significant differences were detected between the groups for the co-morbidities, except for type 2 diabetes, which was more frequent in the cases, while irritable bowel syndrome (IBS) was significantly more common in negative patients. There was no difference in biochemical parameters between Blastocystis sp.-infected and uninfected patients. However, highly significant differences were found for relative eosinophilia, showing greater values in the cases.
Several variables related to the absence/presence of pathogens were not included in the PCA, whose results are described in Table 3. Namely, a very low number of individuals (<2) showed presence of Arcobacter butzleri, Shigella, Schistosoma intercalatum, Taenia saginata and Encephalitozoon hellem; therefore, these variables were not considered for PCA. Several variables had a KMO index <0.5, breaching the basic assumption for PCA (Aeromonas sp., Campylobacter sp., E. coli, Salmonella sp., Yersinia sp., Cryptosporidium sp., Hymenolepis nana and Trichuris trichiura). Hence, only Isospora belli, Strongyloides stercoralis, Giardia lamblia, Dientamoeba, Entamoeba sp., Ascaris lumbricoides, Enterobius vermicularis and Blastocystis sp. were considered for PCA. Based on the criteria explained in the statistical methodology, three principal components were retained. The cumulative percentage of variance explained by them was 46.996%.
Table 3 shows the rotated component matrix (the key output of PCA); it shows the estimates of the correlation coefficients between each of the original variables and the estimated components. Hence, PCA summarizes the information about co-infection from the original 21 variables in only 3 variables (three principal components; 1, 2 and 3), including the original variables shown in Table 3. The coefficients below 0.3 (absolute value) have been suppressed for easier interpretation. Positive loadings indicate that a variable and a principal component are positively correlated; an increase in one results in an increase in the other. Negative loadings indicate a negative correlation. Large (either positive or negative) loadings indicate that a variable has a strong effect on that principal component. Principal component 1 loads very strongly on Isospora belli, Strongyloides stercoralis and Giardia lamblia but less strongly on Dientamoeba sp.; this principal component mainly summarizes the information about the presence of these four agents. Similarly, principal component 3 loads very strongly on Enterobius vermicularis and less strongly on Blastocystis sp. Finally, principal component 2 loads strongly on Entamoeba spp and Ascaris lumbricoides, but lightly on Blastocystis sp. and Strongyloides stercoralis (negative load); this principal component summarizes the information about the presence of Entamoeba spp and Ascaris lumbricoides, and Blastocystis and the absence of Strongyloides stercoralis.
Once the original variables set was reduced by PCA, cluster grouping based on the three retained principal components must be applied in order to study co-infections. These clusters are groups of individuals that share similar characteristics, as it refers to the variables included in the three principal components; hence, this provides a simplified view of the most relevant co-infections in the considered sample of individuals. Table 4 shows the result of the clustering based on the three retained principal components. The first cluster included most of the individuals that were negative for Blastocystis sp. (3277/3344 = 98%), while the sixth cluster contained the majority of the Blastocystis sp. positive patients (301/336 = 89.50%), with no presence of other parasites in either cluster. Hence, most of the studied individuals, either cases or controls, did not show any co-infection. Each cluster of individuals concerned a particular microorganism, since most of the individuals that showed this microorganism are included. Cluster 2 concerned Giardia lamblia (45/52 individuals infected with Giardia = 86.53%) and included only 9 of the 336 patients infected with Blastocystis sp. (2.68%). Cluster 3 included all patients infected with Enterobius vermicularis (n: 16) and included eight patients positive for Blastocystis sp. (2.38%). Cluster 4 contained all patients infected with Entamoeba sp. (n: 19) and included twelve patients positive for Blastocystis sp. (3.57%). Finally, all patients infected with S. stercoralis were allocated to Cluster 5 (n: 6), which also included six Blastocystis sp.-infected patients (1.78%). The Table 4 shows the results obtained for all the kinds of co-infections. Since this study focuses on Blastocystis, Table 5 provides a more accurate description of co-infections, including more than one microorganism, in addition to Blastocystis.
Table 6 shows the final model for binomial logistic regression; it was statistically significant (χ2 (11) = 1955.696; p < 0.001) and explained 94.6% of the total variance (Nagelkerke R2). The probability of being infected with Blastocystis sp. was similar for individuals from both Spain and the rest of Europe, but significantly increased for individuals from America and especially from Africa. No significant association was detected for individuals from Asia, which may be due to their scarcity. Abdominal pain, anorexia and type 2 diabetes were significantly associated with Blastocystis sp. detection, but corticosteroid treatment was associated with the absence of this microorganism. Infection was strongly associated with the presence of pathogenic bacteria and halitosis; namely, individuals with bacterial co-infection were 132.960 times more likely to be infected with Blastocystis sp. and this likelihood increased to 315.220 times more when halitosis was detected. However, the strongest association corresponded to relative eosinophilia; as relative eosinophilia increased by 1 unit, the likelihood for Blastocystis sp. infection increased 1105.260 times. The accuracy parameters for the binomial logistic regression model were high and were as follows: Sn = 0.967 (95% CI: 0.969–0.998); Sb = 0.998 (95% CI: 0.996–0.998); PPV = 0.983 (95% CI: 0.968–0.997); NPV = 0.997 (95% CI: 0.995–0.999). The area under the ROC curve was 0.997 (95% CI: 0.993–1.000; p > 0.001).

4. Discussion

Blastocystis sp. is among the most prevalent parasites found in human fecal specimens in diagnostic microbiology laboratories, although its clinical significance is still uncertain in contrast to common protozoa, which are responsible for a significant proportion of diarrheal morbidity globally, such as Giardia duodenalis and Cryptosporidium sp. [40,41,42]. In Spain, previous studies in patients that reported digestive disorders and attended medical services have shown that the percentage of patients infected with Blastocystis sp. is twice or even ten times higher than those infected with G. duodenalis and Cryptosporidium sp., respectively [28]; however, studies in asymptomatic children have reported similar infection rates for Blastocystis sp. and G. duodenalis [26].
The prevalence of Blastocystis sp. infection in patients with gastrointestinal symptoms in this study was 9.18%. This result is consistent with previous studies in central Spain using conventional microscopy, which have documented prevalence rates of 9.6% in HIV-positive children and 5.3–19.4% in children attending daycare centers and primary schools [24,25], while 13% was found in asymptomatic school children using PCR-based methods [26]. Higher prevalence rates have been reported in adult patients in Catalonia (northeastern Spain) through microscopic examination and PCR (27.8%) [27], and up to 35.2% of PCR-Blastocystis positive samples were found in humans sharing households with dogs and cats in northern Spain [43]. In Europe, the prevalence of this protist has been reported to range from 3% to 7% in France, Italy and the United Kingdom using direct-light microscopy, but higher rates (14.5−24.2%) were found using PCR-based methods in France, the Netherlands and Denmark [22,28,44,45,46,47].
It is significant to mention that the infection rates detected in this study may be an underestimation, since molecular analyses are known to be much more sensitive than microscopic techniques and xenic in vitro culture for the detection of Blastocystis sp. in fecal specimens from both humans and animals [1,45]. Culture from stool samples was significantly more sensitive than direct microscopic examination, but it is time consuming and not practical for diagnosis when a quick turnaround is required [45]. The sensitivity of microscopy has been suggested to increase when increasing the number of investigated samples. Microscopy on two SAF (sodium acetate-acetic acid-formalin) preserved samples in the test called “triple faeces test”, which combines multiple fecal sampling (on 3 consecutive days) with a concentration method, has been reported to provide a similar sensitivity to sequence confirmed-PCR [47,48]. In contrast, other studies have shown that microscopic diagnosis through a concentration technique did not increase when two or three consecutive stool samples were investigated, compared with one simple stool investigation [49].
Geographical location has been reported to influence the prevalence of parasitic infections [50]. In this study, a significant effect of geographic origin of patients on the prevalence of Blastoscystis sp. was found, with over 25% of infected patients originating from outside Europe, with the percentage of patients from Central and South America, and especially from Africa, being significantly higher in the cases than in controls. Poor sanitary and hygiene conditions have been proposed to explain the higher prevalence of Blastocystis sp. in low-income countries, since it is mainly transmitted through the fecal-oral route via consumption of contaminated food or water [3]. Infections rates ranging from 80.4% to 100% have been documented in school children in Senegal, 64% in Moroccan children, 71.1% in immigrant workers in Qatar, 78% in the Guinean population, and 63% in children in Lebanon [4,51,52,53,54,55]. In contrast, much lower rates are documented from European countries, including Denmark (5.6%), France (13.7–23.1%), Czech Republic (24%) and Spain (13%) [22,29,56,57].
In this study, the presence of Blastocystis sp. was not associated with either of the two age classes (children or adults) or with sex, although the cases were significantly younger than controls when age was considered as a quantitative variable. Many studies in different parts of the world have investigated the effect of host sex on Blastocystis sp. infection rates and most of them have shown that prevalence is not significantly related to sex [57,58,59], although some studies have shown a higher prevalence in either females [60] or males [61]. Similarly, there are contradictory results regarding the association with host age. Some studies found no significant relationship [21,59,62], but others reported higher Blastocystis sp. infection rates among younger adult age groups [22,23], adults aged more than 18 years [61] or even older than 60 years [63]; other studies have documented patients younger than 30 years or children in the group of age 5–15 years to have a higher risk of being infected with Blastocystis sp. [43,55].
Our results for BMI showed a highly significant difference between the groups of patients, with underweight individuals being significantly more common among the cases than in controls. This finding is consistent with previous studies that claimed a positive correlation between low BMI and Blastocystis sp. infection, an observation which has been related to a potential negative effect of the protist on dietary intakes and energy metabolism [42,64,65]. This potential negative impact on host weight could be of relevance when considering data that suggest that Blastocystis sp. is capable of long-term host colonization, with some individuals testing positive for up to 10 years [12].
Another potential factor that determines the transmission of pathogens is host immunity, since it is well known that patients with decreased immunity are particularly susceptible to opportunistic infections [66]. Blastocystis sp. has been widely reported in both immunocompetent and immunocompromised individuals but its pathogenic, or rather opportunistic, role has yet not been clearly elucidated. Recent systematic reviews and meta-analyses have estimated that the global pooled prevalence rate of this protist in immunocompromised patients is around 10% [67], and case–control studies have shown that immunosuppressive conditions, such as cancer, organ transplantation and hemodialysis, were associated with higher odds of infection [68]. In contrast, similar or even lower prevalence was reported in some studies on immunodeficient patients compared to controls [23]. In this study, immunosuppressive treatments with chemotherapy, monoclonal antibodies or antiretroviral drugs were more common in cases than in controls, which could support the role of Blastocystis sp. as an opportunistic organism. However, it is worth mentioning that treatment with corticosteroids was much more frequent in controls than in cases (28.9% compared to 0.9%), and the use of these immunomodulatory drugs was also significant as a potential protective factor in the model for binary logistic regression. The reason for this observation is not known; in fact, a recent study on patients with inflammatory bowel disease showed no clear association between the presence of Blastocystis sp. or the use of corticosteroids [69].
In this study, type 2 diabetes was significantly more frequent in cases and this metabolic disease was also a significant factor in the binary logistic regression. Most studies have also reported patients with diabetes mellitus to be at higher risk of infection, which has been related to a weakened immune system [70]. The presence of diabetes mellitus increased the risk of Blastocystis sp. infection more than 9 times in patients with irritable bowel syndrome in Egypt [71], although previous studies in Spain found no correlation among these factors [23]. In contrast, our results do not support Blastocystis infection to be a risk factor for irritable bowel syndrome, which was even more common among controls than in cases. The implication of Blastocystis sp. in the development of IBS is controversial, although some studies have indicated a positive association and suggested that accurate diagnosis of this protist should be included in the clinical protocol of IBS patients [72].
The odds ratio for halitosis, pathogenic bacteria and relative eosinophilia shows very high values. When both the odds of achieving an outcome, if exposed (presence of Blastocystis, cases) and if not exposed (absence of Blastocystis, controls), are very low, but odds in controls are even lower than odds in cases, high values for OR are found. However, 95% confidence intervals are very wide, pointing to a low confidence in the obtained OR values. Therefore, these high OR values found for halitosis, pathogenic bacteria and relative eosinophilia suggest than these factors are associated with Blastocystosis, but one must take into account that these OR values may be overestimated, due to the low frequencies of these outcomes in the whole sample of cases and controls.
Relative eosinophilia has been associated with Blastocystis sp. infection in this study. In parasitic diseases, blood eosinophilia is usually associated with helminth infections, especially coinciding with the larval migration through tissues, and travelers/immigrants from resource-limited countries, who are most likely to acquire these infections, have been reported to have a high likelihood of eosinophilia. However, it is usually considered uncommon for an eosinophilia to be produced by protozoan infections [73]. Few studies have reported a high proportion of eosinophils in the peripheral blood of symptomatic patients infected with Blastocystis sp. [74], but our results indicate that patients with relative eosinophilia are more likely to be infected, suggesting that eosinophilia should be taken into consideration in the diagnosis of Blastocystis sp. infection.
Human gut microbiota composition is considered a deciding agent in the pathogenicity and occurrence of Blastocystis sp., and the alteration of the intestinal environment provoked by pathogens has been suggested to be involved in its pathogenicity [15]. In healthy children, Kodio et al. (2019) [75] concluded that Blastocystis sp. colonization is associated with a higher diversity of the bacterial communities in the gut but is not associated with the presence of potentially pathogenic bacteria in the human gut. As higher bacterial diversity is commonly associated with health and lower incidence of inflammatory diseases, it has been suggested that Blastocystis colonization is associated with a healthy gut microbiome [76]. In this study, the cluster analysis showed that this protist was by far the most frequently detected intestinal parasite, and most patients infected had no presence of other helminths or protozoa included in the principal component analysis; however, co-infections with pathogenic bacteria or enteric parasites were much more common among cases than controls, which suggest that they are associated with Blastocystis sp. presence. These findings contrast with the observations of Hidalgo et al., (2019) [23] who suggested that the presence of other parasites significantly decreased the risk of positive detection of Blastocystis sp., although the authors indicated that there could be evidence of bias in the study because all the participants were patients submitted for parasitological diagnosis.
Whether Blastocystis sp. is a pathogen or a commensal of the human gut is still uncertain. Studies on healthy, randomly sampled individuals have shown a high presence of Blastocystis sp. and a prolonged colonization of the gut, but others have implicated it in intestinal diseases, including inflammatory bowel disease (IBD), irritable bowel syndrome (IBS) and even cutaneous disorders. The most common intestinal symptoms attributed to Blastocystis infection are diarrhea and abdominal pain, as well as nonspecific symptoms, such as nausea, vomiting, fatigue and flatulence [19,22,64,67]. The findings of the current study support a potentially pathogenic role for this protist, since most symptoms reported by infected patients were significantly more common in cases than in controls, including nausea, aerophagia, urticaria, anal itching and dyspepsia; moreover, the likelihood of having a Blastocystis infection increased with abdominal pain, anorexia and halitosis. In contrast, a higher proportion of patients in the control group presented episodes of diarrhea and fever, with the latter being even significantly more common in controls than in cases. However, our National Health Service only analyzes samples from patients attending consultations because of the presence of symptoms. For this reason, no controls without disease manifestations were available. Therefore, no conclusions on the pathogenic potential of Blastocystis could be directly reached from the analysis of our data set.
Diagnosis based only by the microscopic examination of stool specimens, lacking information relating to subtypes, is also a limitation of this study. Remarkable genetic diversity has been revealed among Blastocystis sp. from humans and animals, and differences in clinical significance have been suggested for different subtypes, an aspect which was not investigated in this study; however, at present, there is no widely accepted distinction between the pathogenic and non-pathogenic subtypes [8,16].

5. Conclusions

In summary, the results of the present study demonstrate a high prevalence of Blastocystis sp. infections in individuals with gastrointestinal illness in this geographical area, with most infected patients testing negative for protozoa or helminths. The probability of being infected with Blastocystis sp. significantly increased for underweight individuals and those native from Central and South America, and especially from Africa. Relative eosinophilia and some gastrointestinal symptoms, especially abdominal pain, anorexia and halitosis, but not diarrhea or fever, were associated with Blastocystis sp. detection. Co-infections with pathogenic bacteria were also related with Blastocystis sp. presence. A higher proportion of Blastocystis sp.-infected patients had type 2 diabetes and received some immunosuppressive treatments, such as chemotherapy, monoclonal antibodies or antiretroviral drugs, which could support the role of Blastocystis sp. as an opportunistic organism. This is the first case–control study of Blastocystis sp. in humans in northern Spain. Further research using molecular-based methods is needed to investigate the level of molecular diversity of Blastocystis sp. in this geographic area, and to ascertain the link between subtypes and factors associated with a higher risk of infection.

Author Contributions

Conceptualization, C.M., M.T.T., L.V.M., A.B. and J.Q.; methodology, C.M., M.T.T., L.V.M. and A.B.; software, M.T.T.; validation, C.M. and A.B.; formal analysis M.T.T. and L.V.M.; investigation, C.M., L.V.M., A.B. and J.Q.; resources, L.V.M. and J.Q.; data curation, M.T.T.; writing—original draft preparation, C.M., M.T.T., L.V.M., A.B. and J.Q.; writing—review and editing, C.M., M.T.T., L.V.M., A.B. and J.Q.; visualization, C.M., L.V.M. and J.Q.; supervision, L.V.M. and J.Q.; project administration, L.V.M. and J.Q.; funding acquisition, L.V.M. and J.Q. All authors have read and agreed to the published version of the manuscript.

Funding

Funding for Article Processing Charges was provided by the Government of Aragón (Spain) via the Research Group A16_20R Zoonoses and Emerging Diseases of Public Health Significance.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Aragón (ref 18/081).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Availability of data will depend on specific permission from the Ethics Committee of Aragón.

Acknowledgments

The authors thank D. Savva for his help with English editing and Teresa Monteagudo for the technical assistance with the graphical abstract and Figure 1. The authors obtained permission to acknowledge both people mentioned in this section.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Roberts, T.; Barratt, J.; Harkness, J.; Ellis, J.; Stark, D. Comparison of Microscopy, Culture, and Conventional Polymerase Chain Reaction for Detection of Blastocystis sp. in Clinical Stool Samples. Am. J. Trop. Med. Hyg. 2011, 84, 308. [Google Scholar] [CrossRef] [PubMed]
  2. Badparva, E.; Sadraee, J.; Kheirandish, F.; Frouzandeh, M. Genetic Diversity of Human Blastocystis Isolates in Khorramabad, Central Iran. Iran. J. Parasitol. 2014, 9, 44. [Google Scholar] [PubMed]
  3. Tan, K.S.W. New Insights on Classification, Identification, and Clinical Relevance of Blastocystis spp. Clin. Microbiol. Rev. 2008, 21, 639–665. [Google Scholar] [CrossRef]
  4. El Safadi, D.; Gaayeb, L.; Meloni, D.; Cian, A.; Poirier, P.; Wawrzyniak, I.; Delbac, F.; Dabboussi, F.; Delhaes, L.; Seck, M.; et al. Children of Senegal River Basin Show the Highest Prevalence of Blastocystis sp. Ever Observed Worldwide. BMC Infect. Dis. 2014, 14, 164. [Google Scholar] [CrossRef] [PubMed]
  5. Torgerson, P.R.; Devleesschauwer, B.; Praet, N.; Speybroeck, N.; Willingham, A.L.; Kasuga, F.; Rokni, M.B.; Zhou, X.N.; Fèvre, E.M.; Sripa, B.; et al. World Health Organization Estimates of the Global and Regional Disease Burden of 11 Foodborne Parasitic Diseases, 2010: A Data Synthesis. PLoS Med. 2015, 12, e1001920. [Google Scholar] [CrossRef] [PubMed]
  6. Tan, K.S.W. Blastocystis in Humans and Animals: New Insights Using Modern Methodologies. Vet. Parasitol. 2004, 126, 121–144. [Google Scholar] [CrossRef]
  7. Alfellani, M.A.; Jacob, A.S.; Perea, N.O.; Krecek, R.C.; Taner-Mulla, D.; Verweij, J.J.; Levecke, B.; Tannich, E.; Clark, C.G.; Stensvold, C.R. Diversity and Distribution of Blastocystis sp. Subtypes in Non-Human Primates. Parasitology 2013, 140, 966–971. [Google Scholar] [CrossRef]
  8. Stensvold, C.R.; Clark, C.G. Current Status of Blastocystis: A Personal View. Parasitol. Int. 2016, 65, 763–771. [Google Scholar] [CrossRef]
  9. Oliveira-Arbex, A.P.; David, É.B.; Guimarães, S. Infection, Genetics and Evolution Blastocystis Genetic Diversity among Children of Low-Income Daycare Center in Southeastern Brazil. Infect. Genet. Evol. 2018, 57, 59–63. [Google Scholar] [CrossRef]
  10. Kim, M.J.; Won, E.J.; Kim, S.H.; Shin, J.H.; Chai, J.Y. Molecular Detection and Subtyping of Human Blastocystis and the Clinical Implications: Comparisons between Diarrheal and Non-Diarrheal Groups in Korean Populations. Korean J. Parasitol. 2020, 58, 321–326. [Google Scholar] [CrossRef]
  11. Shirvani, G.; Fasihi-Harandi, M.; Raiesi, O.; Bazargan, N.; Zahedi, M.J.; Sharifi, I.; Kalantari-Khandani, B.; Nooshadokht, M.; Shabandoust, H.; Mohammadi, M.A.; et al. Prevalence and Molecular Subtyping of Blastocystis from Patients with Irritable Bowel Syndrome, Inflammatory Bowel Disease and Chronic Urticaria in Iran. Acta Parasitol. 2020, 65, 90–96. [Google Scholar] [CrossRef] [PubMed]
  12. Scanlan, P.D.; Stensvold, C.R.; Rajilić-Stojanović, M.; Heilig, H.G.H.J.; De Vos, W.M.; O’Toole, P.W.; Cotter, P.D. The Microbial Eukaryote Blastocystis Is a Prevalent and Diverse Member of the Healthy Human Gut Microbiota. FEMS Microbiol. Ecol. 2014, 90, 326–330. [Google Scholar] [CrossRef]
  13. Stensvold, C.R.; van der Giezen, M. Associations between Gut Microbiota and Common Luminal Intestinal Parasites. Trends Parasitol. 2018, 34, 369–377. [Google Scholar] [CrossRef]
  14. Maloney, J.G.; Jang, Y.; Molokin, A.; George, N.S.; Santin, M. Wide Genetic Diversity of Blastocystis in White-tailed Deer (Odocoileus virginianus) from Maryland, USA. Microorganisms 2021, 9, 1043. [Google Scholar] [CrossRef] [PubMed]
  15. Wawrzyniak, I.; Poirier, P.; Viscogliosi, E.; Dionigia, M.; Texier, C.; Delbac, F.; Alaoui, H.E. Blastocystis, an Unrecognized Parasite: An Overview of Pathogenesis and Diagnosis. Ther. Adv. Infect. Dis. 2013, 1, 167–178. [Google Scholar] [CrossRef] [PubMed]
  16. Roberts, T.; Stark, D.; Harkness, J.; Ellis, J. Update on the Pathogenic Potential and Treatment Options for Blastocystis sp. Gut Pathog. 2014, 6, 17. [Google Scholar] [CrossRef]
  17. Kosik-Bogacka, D.; Lepczyńska, M.; Kot, K.; Szkup, M.; Łanocha-Arendarczyk, N.; Dzika, E.; Grochans, E. Prevalence, Subtypes and Risk Factors of Blastocystis spp. Infection among Pre- and Perimenopausal Women. BMC Infect. Dis. 2021, 21, 1125. [Google Scholar] [CrossRef]
  18. Cheng, H.; Haung, Z.; Lan, W.; Kuo, T.; Shin, J. Epidemiology of Blastocystis Hominis and Other Intestinal Parasites in a Vietnamese Female Immigrant Population in Southern Taiwan. Kaohsiung J. Med. Sci. 2006, 22, 166–170. [Google Scholar] [CrossRef]
  19. Stensvold, C.R.; Nielsen, H.V.; Mølbak, K.; Smith, H.V. Pursuing the Clinical Significance of Blastocystis—Diagnostic Limitations. Trends Parasitol. 2009, 25, 23–29. [Google Scholar] [CrossRef]
  20. Nithyamathi, K.; Chandramathi, S.; Kumar, S. Predominance of Blastocystis sp. Infection among School Children in Peninsular Malaysia. PLoS ONE 2016, 11, e0136709. [Google Scholar] [CrossRef]
  21. Deng, Y.; Zhang, S.; Ning, C.; Zhou, Y.; Teng, X.; Wu, X.; Chu, Y.; Yu, Y.; Chen, J.; Tian, L.; et al. Molecular Epidemiology and Risk Factors of Blastocystis sp. Infections among General Populations in Yunnan Province, Southwestern China. Risk Manag. Healthc. Policy 2020, 13, 1791–1801. [Google Scholar] [CrossRef] [PubMed]
  22. El Safadi, D.; Cian, A.; Nourrisson, C.; Pereira, B.; Morelle, C.; Bastien, P.; Bellanger, A.; Botterel, F.; Candolfi, E.; Desoubeaux, G.; et al. Prevalence, Risk Factors for Infection and Subtype Distribution of the Intestinal Parasite Blastocystis sp. from a Large-Scale Multi-Center Study in France. BMC Infect. Dis. 2016, 16, 451. [Google Scholar] [CrossRef] [PubMed]
  23. Hidalgo, L.; Salvador, F.; Sulleiro, E.; López, I.; Balladares, M.; García, E.; Paz, C.; Sánchez-Montalvá, A.; Bosch-Nicolau, P.; Sao-Avilés, A.; et al. Evaluation of Risk Factors Associated to Detection of Blastocystis sp. in Fecal Samples in Population from Barcelona, Spain: A Case-Control Study. Eur. J. Clin. Microbiol. 2019, 38, 1241–1247. [Google Scholar] [CrossRef] [PubMed]
  24. Martín-Sánchez, A.M.; Canut-Blasco, A.; Rodriguez-Hernandez, J.; Montes-Martínez, I.; García-Rodríguez, J.A. Epidemiology and Clinical Significance of Blastocystis Hominis in Different Population Groups in Salamanca (Spain). Eur. J. Epidemiol. 1992, 8, 553–559. [Google Scholar] [CrossRef]
  25. Aguila, C.; Navajas, R.; Gurbindo, D.; Ramos, J.; Mellado, M.; Fenoy, S.; Muñoz Fernandez, M.; Subirats, M.; Ruiz, J.; Pieniazek, N. Microsporidiosis in HIV-Positive Children in Madrid (Spain). J. Eukaryot. Microbiol. 1997, 44, 84–85. [Google Scholar] [CrossRef]
  26. Reh, L.; Muadica, A.S.; Köster, P.C.; Balasegaram, S.; Verlander, N.Q.; Chércoles, E.R.; Carmena, D. Substantial Prevalence of Enteroparasites cryptosporidium spp., Giardia duodenalis and Blastocystis sp. in Asymptomatic Schoolchildren in Madrid, Spain, November 2017 to June 2018. Eurosurveillance 2019, 24, 1900241. [Google Scholar] [CrossRef]
  27. Salvador, F.; Lobo, B.; Goterris, L.; Alonso-Cotoner, C.; Santos, J.; Sulleiro, E.; Bailo, B.; Carmena, D.; Sánchez-Montalvá, A.; Bosch-Nicolau, P.; et al. Blastocystis sp. Carriage and Irritable Bowel Syndrome: Is the Association Already Established? Biology 2021, 10, 340. [Google Scholar] [CrossRef]
  28. González-Moreno, O.; Domingo, L.; Teixidor, J.; Gracenea, M. Prevalence and Associated Factors of Intestinal Parasitisation: A Cross-Sectional Study among Outpatients with Gastrointestinal Symptoms in Catalonia, Spain. Parasitol. Res. 2011, 108, 87–93. [Google Scholar] [CrossRef]
  29. Muadica, A.S.; Köster, P.C.; Dashti, A.; Bailo, B.; Hernández-de-Mingo, M.; Reh, L.; Balasegaram, S.; Verlander, N.Q.; Chércoles, E.R.; Carmena, D. Molecular Diversity of Giardia Duodenalis, Cryptosporidium spp. and Blastocystis sp. in Asymptomatic School Children in Leganés, Madrid (Spain). Microorganisms 2020, 8, 446. [Google Scholar] [CrossRef]
  30. Dacal, E.; Saugar, J.M.; De Lucio, A.; Hernández-De-Mingo, M.; Robinson, E.; Köster, P.C.; Aznar-Ruiz-De-Alegría, M.L.; Espasa, M.; Ninda, A.; Gandasegui, J.; et al. Prevalence and Molecular Characterization of Strongyloides stercoralis, Giardia duodenalis, Cryptosporidium spp., and Blastocystis spp. Isolates in School Children in Cubal, Western Angola. Parasites Vectors 2018, 11, 67. [Google Scholar] [CrossRef] [Green Version]
  31. Blu F., A.; León C., E.; Román G., J.C.; Chanqueo, C.L.; García, C.P. Evaluación Del Rendimiento Del Coprocultivo En Pacientes Hospitalizados. Rev. Chil. Infectol. 2005, 22, 58–62. [Google Scholar] [CrossRef]
  32. Rychert, J. Benefits and Limitations of MALDI-TOF Mass Spectrometry for the Identification of Microorganisms. J. Infect. Epidemiol 2019, 2, 1–5. [Google Scholar] [CrossRef]
  33. Kaiser, H.F. An Index of Fractorial Simplicity. Psychometrika 1974, 39, 32–36. [Google Scholar] [CrossRef]
  34. Kaiser, H.F. The Apllication of Electronic Computers to Factor Analysis. Educ. Psychol. Meas. 1960, 20, 141–151. [Google Scholar] [CrossRef]
  35. Cattell, R.B. The Scree Test for the Number of Factors. Multivar. Behav. Res. 1966, 1, 245–276. [Google Scholar] [CrossRef] [PubMed]
  36. Ketchen, D.J., Jr.; Shook, C.L. The Application of Cluster Analysis in Strategic Management Research: An Analysis and Critique. Strateg. Manag. J. 1996, 17, 441–458. [Google Scholar] [CrossRef]
  37. Hocking, R.R. A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression. Biometrics 1976, 32, 1. [Google Scholar] [CrossRef]
  38. Fletcher, R.; Fletcher, S. Clinical Epidemiology the Essentials, 4th ed.; Lippincott Williams & Wilkins: Baltimore, MD, USA, 2005. [Google Scholar]
  39. Hilbe, J.M. Logistic Regression Models, 1st ed.; Chapman and Hall/CRC: New York, NY, USA, 2005. [Google Scholar]
  40. Muhsen, K.; Levine, M.M. A Systematic Review and Meta-Analysis of the Association between Giardia Lamblia and Endemic Pediatric Diarrhea in Developing Countries. Clin. Infect. Dis. 2012, 55, S271–S293. [Google Scholar] [CrossRef]
  41. Checkley, W.; White, A.J.; Jaganath, D.; Arrowood, M.; Chalmers, R.; Chen, X.; Fayer, R.; Griffiths, J.; Guerrant, R.; Hedstrom, L.; et al. A Review of the Global Burden, Novel Diagnostics, Therapeutics, and Vaccine Targets for Cryptosporidium. Lancet. Infect.Dis. 2015, 15, 85–94. [Google Scholar] [CrossRef]
  42. Andersen, L.O.B.; Stensvold, C.R. Blastocystis in Health and Disease: Are We Moving from a Clinical to a Public Health Perspective? J. Clin. Microbiol. 2016, 54, 524–528. [Google Scholar] [CrossRef] [Green Version]
  43. Paulos, S.; Köster, P.C.; de Lucio, A.; Hernández-de-Mingo, M.; Cardona, G.A.; Fernández-Crespo, J.C.; Stensvold, C.R.; Carmena, D. Occurrence and Subtype Distribution of Blastocystis sp. in Humans, Dogs and Cats Sharing Household in Northern Spain and Assessment of Zoonotic Transmission Risk. Zoonoses Public Health 2018, 65, 993–1002. [Google Scholar] [CrossRef] [PubMed]
  44. Windsor, J.J.; Macfarlane, L.; Hughes-Thapa, G.; Jones, S.K.A.; Whiteside, T.M. Incidence of Blastocystis Hominis in Faecal Samples Submitted for Routine Microbiological Analysis. Br. J. Biomed. Sci. 2002, 59, 154–157. [Google Scholar] [CrossRef]
  45. Stensvold, C.; Arendrup, M.C.; Jespersgaard, C.; Mølbak, K.; Nielsen, H. Detecting Blastocystis Using Parasitologic and DNA-Based Methods: A Comparative Study. Diagn. Microbiol. Infect. Dis. 2007, 59, 303–307. [Google Scholar] [CrossRef] [PubMed]
  46. Masucci, L.; Graffeo, R.; Bani, S.; Bugli, F.; Boccia, S.; Nicolotti, N.; Fiori, B.; Fadda, G.; Spanu, T. Intestinal Parasites Isolated in a Large Teaching Hospital, Italy, 1 May 2006 to 31 December 2008. Eurosurveillance 2011, 16, 19891. [Google Scholar] [CrossRef] [PubMed]
  47. Bart, A.; Wentink-Bonnema, E.M.S.; Gilis, H.; Verhaar, N.; Wassenaar, C.J.A.; van Vugt, M.; Goorhuis, A.; van Gool, T. Diagnosis and Subtype Analysis of Blastocystis sp. in 442 Patients in a Hospital Setting in the Netherlands. BMC. Infect. Dis. 2013, 13, 389. [Google Scholar] [CrossRef] [PubMed]
  48. Van Gool, T.; Weijts, R.; Lammerse, E.; Mank, T.G. Triple Faeces Test: An Effective Tool for Detection of Intestinal Parasites in Routine Clinical Practice. Eur. J. Clin. Microbiol. Infect. Dis. 2003, 22, 284–290. [Google Scholar] [CrossRef]
  49. Not, A.; Salvador, F.; Goterris, L.; Sulleiro, E.; López, I.; Balladares, M.; García, E.; Paz, C.; Sánchez-Montalvá, A.; Bosch-Nicolau, P.; et al. Microscopic Examination after Concentration Techniques for Blastocystis sp. Detection in Serial Faecal Samples: How Many Samples Are Needed? Parasite Epidemiol. Control 2020, 9, e00137. [Google Scholar] [CrossRef]
  50. Rayan, P.; Verghese, S.; McDonnell, P.A. Geographical Location and Age Affects the Incidence of Parasitic Infestations in School Children. Indian J. Pathol. Microbiol. 2010, 53, 498. [Google Scholar] [CrossRef]
  51. El Fatni, C.; Olmo, F.; El Fatni, H.; Romero, D.; Rosales, M.J. First Genotyping of Giardia Duodenalis and Prevalence of Enteroparasites in Children from Tetouan (Morocco). Parasite 2014, 21, 48. [Google Scholar] [CrossRef]
  52. Abu-Madi, M.; Aly, M.; Behnke, J.M.; Clark, C.G.; Balkhy, H. The Distribution of Blastocystis Subtypes in Isolates from Qatar. Parasites Vectors 2015, 8, 465. [Google Scholar] [CrossRef] [Green Version]
  53. Osman, M.; El Safadi, D.; Cian, A.; Benamrouz, S.; Nourrisson, C.; Poirier, P.; Pereira, B.; Razakandrainibe, R.; Pinon, A.; Lambert, C.; et al. Prevalence and Risk Factors for Intestinal Protozoan Infections with Cryptosporidium, Giardia, Blastocystis and Dientamoeba among Schoolchildren in Tripoli, Lebanon. PLoS Negl. Trop. Dis. 2016, 10, e0004496. [Google Scholar] [CrossRef]
  54. Khaled, S.; Gantois, N.; Ly, A.T.; Senghor, S.; Even, G.; Dautel, E.; Dejager, R.; Sawant, M.; Baydoun, M.; Benamrouz-Vanneste, S.; et al. Prevalence and Subtype Distribution of Blastocystis sp. in Senegalese School Children. Microorganisms 2020, 8, 1408. [Google Scholar] [CrossRef] [PubMed]
  55. Guilavogui, T.; Gantois, N.; Even, G.; Desramaut, J.; Dautel, E.; Denoyelle, C.; Ibrahima, F.; Cherif, S.; Kourouma, B.L.; Sawant, M.; et al. Detection, Molecular Identification and Transmission of the Intestinal Protozoa Blastocystis sp. in Guinea from a Large-Scale Epidemiological Study Conducted in the Conakry Area. Microorganisms 2022, 10, 446. [Google Scholar] [CrossRef] [PubMed]
  56. Stensvold, C.R.; Christiansen, D.B.; Olsen, K.E.P.; Nielsen, H.V. Blastocystis sp. Subtype 4 Is Common in Danish Blastocystis-Positive Patients Presenting with Acute Diarrhea. Am. J. Trop. Med. Hyg. 2011, 84, 883. [Google Scholar] [CrossRef] [PubMed]
  57. Lhotská, Z.; Jirků, M.; Hložková, O.; Brožová, K.; Jirsová, D.; Stensvold, C.R.; Kolísko, M.; Jirků Pomajbíková, K. A Study on the Prevalence and Subtype Diversity of the Intestinal Protist Blastocystis sp. in a Gut-Healthy Human Population in the Czech Republic. Front. Cell. Infect. Microbiol. 2020, 10, 544335. [Google Scholar] [CrossRef]
  58. Abu-Madi, M.; Boughattas, S.; Behnke, J.M.; Sharma, A.; Ismail, A. Coproscopy and Molecular Screening for Detection of Intestinal Protozoa. Parasites Vectors 2017, 10, 414. [Google Scholar] [CrossRef]
  59. Seyer, A.; Karasartova, D.; Ruh, E.; Güreser, A.S.; Turgal, E.; Imir, T.; Taylan-Ozkan, A. Epidemiology and Prevalence of Blastocystis spp. in North Cyprus. Am. J. Trop. Med. Hyg. 2017, 96, 1164. [Google Scholar] [CrossRef]
  60. Messaad, S.A.; Laboudi, M.; Moumni, M.; Sarhane, B.; Belghyti, D.; El-Kharrim, K. Children Intestinal Parasites Related to Socio-Economic Factors in Salé Hospital, Morocco. Int. J. Innov. Appl. Res. 2014, 8, 833–840. [Google Scholar]
  61. Abdulsalam, A.M.; Ithoi, I.; Al-Mekhlafi, H.M.; Khan, A.H.; Ahmed, A.; Surin, J.; Mak, J.W. Prevalence, Predictors and Clinical Significance of Blastocystis sp. in Sebha, Libya. Parasites Vectors 2013, 6, 86. [Google Scholar] [CrossRef]
  62. AbuOdeh, R.; Ezzedine, S.; Samie, A.; Stensvold, C.; ElBakri, A. Prevalence and Subtype Distribution of Blastocystis in Healthy Individuals in Sharjah, United Arab Emirates. Infect. Genet. Evol. 2016, 37, 158–162. [Google Scholar] [CrossRef]
  63. Li, L.H.; Zhang, X.P.; Lv, S.; Zhang, L.; Yoshikawa, H.; Wu, Z.; Steinmann, P.; Utzinger, J.; Tong, X.M.; Chen, S.H.; et al. Cross-Sectional Surveys and Subtype Classification of Human Blastocystis Isolates from Four Epidemiological Settings in China. Parasitol. Res. 2007, 102, 83–90. [Google Scholar] [CrossRef] [PubMed]
  64. Beghini, F.; Pasolli, E.; Truong, T.D.; Putignani, L.; Cacciò, S.M.; Segata, N. Large-Scale Comparative Metagenomics of Blastocystis, a Common Member of the Human Gut Microbiome. ISME J. 2017, 11, 2848–2863. [Google Scholar] [CrossRef] [PubMed]
  65. Mirjalali, H.; Latifi, A.; Taghipour, A.; Yadegar, A.; Hatami, B.; Sadeghi, A.; Ehsani, M.J.; Zali, M.R. Association between Blastocystis and Body Mass Index in Healthy Subjects; a Theoretical Pilot Study. J. Diabetes Metab. Disord. 2020, 19, 129–134. [Google Scholar] [CrossRef] [PubMed]
  66. Klastersky, J.; Aoun, M. Opportunistic Infections in Patients with Cancer. Ann. Oncol. 2004, 15, 329–335. [Google Scholar] [CrossRef]
  67. Khorshidvand, Z.; Khazaei, S.; Amiri, M.R.; Taherkhani, H.; Mirzaei, A. Worldwide Prevalence of Emerging Parasite Blastocystis in Immunocompromised Patients: A Systematic Review and Meta-Analysis. Microb. Pathog. 2021, 152, 104615. [Google Scholar] [CrossRef]
  68. Mohamed, A.M.; Ahmed, M.A.; Ahmed, S.A.; Al-Semany, S.A.; Alghamdi, S.S.; Zaglool, D.A. Predominance and Association Risk of Blastocystis Hominis Subtype I in Colorectal Cancer: A Case Control Study. Infect. Agents Cancer 2017, 12, 21. [Google Scholar] [CrossRef]
  69. Azimirad, M.; Gol, S.M.A.; Javanmard, E.; Mirjalali, H.; Yadegar, A.; Aghdaei, H.A.; Shahrokh, S.; Balaii, H.; Sadeghi, A.; Zali, M.R. Blastocystis and Clostridioides Difficile: Evidence for a Synergistic Role in Colonization among IBD Patients with Emphasis on Ulcerative Colitis. Turk. J. Gastroenterol. 2021, 32, 500. [Google Scholar] [CrossRef]
  70. Popruk, N.; Prasongwattana, S.; Mahittikorn, A.; Palasuwan, A.; Popruk, S.; Palasuwan, D. Prevalence and Subtype Distribution of Blastocystis Infection in Patients with Diabetes Mellitus in Thailand. Int. J. Environ. Res. Public Health 2020, 17, 8877. [Google Scholar] [CrossRef]
  71. Ibrahim, S.S.; Ismail, M.A.M.; Shaker, M.A.; Khalill, D.M.; Raafat, A. Blastocystis Hominis in Diabetic and Don-Diabetic Patients with Irritable Bowel Syndrome in Beni-Suef City, Egypt. J. Egypt. Soc. Parasitol. 2020, 50, 683–688. [Google Scholar] [CrossRef]
  72. Rostami, A.; Riahi, S.M.; Haghighi, A.; Saber, V.; Armon, B.; Seyyedtabaei, S.J. The Role of Blastocystis sp. and Dientamoeba Fragilis in Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis. Parasitol. Res. 2017, 116, 2361–2371. [Google Scholar] [CrossRef]
  73. O’Connell, E.; Nutman, T. Eosinophilia in Infectious Diseases. Immunol. Allergy Clin. N. Am. 2015, 35, 493–522. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Sheehan, D.J.; Raucher, B.G.; McKitrick, J.C. Association of Blastocystis Hominis with Signs and Symptoms of Human Disease. J. Clin. Microbiol. 1986, 24, 548–550. [Google Scholar] [CrossRef] [PubMed]
  75. Kodio, A.; Coulibaly, D.; Koné, A.K.; Konaté, S.; Doumbo, S.; Guindo, A.; Bittar, F.; Gouriet, F.; Raoult, D.; Thera, M.A.; et al. Blastocystis Colonization Is Associated with Increased Diversity and Altered Gut Bacterial Communities in Healthy Malian Children. Microorganisms 2019, 7, 649. [Google Scholar] [CrossRef] [PubMed]
  76. Deng, L.; Wojciech, L.; Gascoigne, N.R.J.; Peng, G.; Tan, K.S.W. New Insights into the Interactions between Blastocystis, the Gut Microbiota, and Host Immunity. PLoS Pathog. 2021, 17, e1009253. [Google Scholar] [CrossRef]
Tropicalmed 07 00226 g001 550
Figure 1. Microscope field image (100× g magnification) obtained in a sample from an infected Blastocystis patient with high parasite load.
Figure 1. Microscope field image (100× g magnification) obtained in a sample from an infected Blastocystis patient with high parasite load.
Tropicalmed 07 00226 g001
Table
Table 1. Distribution of demographic/anthropometric parameters and immunosuppressive treatment in cases (Blastocystis-positive patients) and in controls (Blastocystis-negative patients).
Table 1. Distribution of demographic/anthropometric parameters and immunosuppressive treatment in cases (Blastocystis-positive patients) and in controls (Blastocystis-negative patients).
VariableBlastocystis-Positive Patients Blastocystis-Negative Patientsp-Value
Geographical origin <0.001
Spain215/337 (63.8%) a2712/3343 (81.1%) b
Rest of Europe33/337 (9.8%) a267/3343 (8.0%) a
Africa48/337 (14.20%) a165/3343 (4.9%) b
America30/337 (8.9%) a144/3343 (4.3%) b
Asia11/337 (3.3%) a55/3343 (1.6%) b
Age groups 0.140
≤16 years148/338 (43.8)1321/3344 (39.5%)
>16 years190/338 (56.2%)2023/3344 (60.5%)
Sex 0.125
Male180/338 (53.3%)1629/3344 (48.7%)
Female158/338 (46.7%)1715/3344 (51.3%)
Categorized BMI <0.001
Underweight (<18.4)95/276 (34.4%) a266/2349 (11.3%) b
Normal (18.5–24.9)92/276 (33.3%) a939/2349 (40%) b
Overweight (25–29.9)55/276 (19.9%) a891/2349 (37.9%) b
Obesity 30–> 4034/276 (12.3%) a253/2349 (10.8%) a
Immunosuppressive treatment
Chemotherapy6/337 (1.8%)1/3344 (0%)<0.001
Monoclonal antibodies3/337 (0.9%)0/3344 (0%)0.001
Antiretroviral drugs3/337 (0.9%)0/3344 (0%)0.001
Nucleoside analogs1/337 (0.3%)47/3344 (1.4%)0.124
Corticosteroids3/337 (0.9%)965/3344 (28.9%)<0.001
Age (years) *30.18 ± 1.29436.11 ± 0.511<0.001
BMI (Kg/m2) *21.21 (9.51)24.89 (5.10)<0.001
* Quantitative variable. Data are reported as counts (%), except for age (years), which is described as the mean ± SE, and for BMI (kg/m2), which is summarized as median and interquartile range (IQR). a,b: Values within a row with different superscripts differ significantly at p < 0.050.
Table
Table 2. Clinical symptoms, co-morbidities, co-infections, and hematological/biochemical parameters in cases (Blastocystis-positive patients) and in controls (Blastocystis-negative patients).
Table 2. Clinical symptoms, co-morbidities, co-infections, and hematological/biochemical parameters in cases (Blastocystis-positive patients) and in controls (Blastocystis-negative patients).
VariablesBlastocystis-Positive PatientsBlastocystis-Negative Patientsp-Value
Clinical symptoms
Diarrhea166/336 (49.4%)1797/3344 (53.7%)0.144
Abdominal pain275/336 (81.8%)975/3344 (29.2%)<0.001
Nausea36/336 (10.7%)29/3344 (0.9%)<0.001
Vomiting47/336 (14%)446/3344 (13.3%)0.803
Constipation24/336 (7.1%)323/3344 (9.7%)0.160
Anorexia34/336 (10.1%)27/3344 (0.8%)<0.001
Fever18/336 (5.4%)972/3344 (29.1%)<0.001
Aerophagia39/336 (11.6%)53/3344 (1.6%)<0.001
Halitosis5/336 (1.5%)4/3344 (0.1%)0.001
Urticaria103/336 (30.7%)202/3344 (6%)<0.001
Anal itching32/336 (9.5%)90/3344 (2.7%)<0.001
Dyspepsia27/336 (8%)88/3344 (2.6%)<0.001
Co-morbidities
Celiac disease8/336 (2.4%)48/3344 (1.4%)0.264
Type 2 diabetes 59/309 (19.1%)182/3344 (5.4%)<0.001
IBS6/336 (1.8%)160/3344 (4.8%)0.017
Cancer18/336 (5.4%)194/3344 (5.8%)0.833
Co-infections
Pathogenic bacteria30/336 (8.9%)6/3344 (0.2%)<0.001
Helminths22/336 (6.5%)22/3344 (0.7%)<0.001
Protozoa25/336 (7.4%)72/3344 (2.2%)<0.001
Laboratory parameters
Glucose *87.00 (14.0)87.00 (14.0)0.379
Glycosylated hemoglobin *5.70 (1.0)5.50 (0.9)0.523
Hemoglobin *14.10 (1.80)14.10 (2.50)0.903
Relative eosinophilia *3.20 (4.5)0.10 (0.1)<0.001
* Quantitative variable. Data are reported as counts (%) except for quantitative variables, which are described as median and interquartile range (IQR).
Table
Table 3. Rotated component matrix: loadings of principal components 1, 2 and 3 on variables related to the absence/presence of pathogens. Coefficients below 0.3 (absolute value) have been suppressed for easier interpretation.
Table 3. Rotated component matrix: loadings of principal components 1, 2 and 3 on variables related to the absence/presence of pathogens. Coefficients below 0.3 (absolute value) have been suppressed for easier interpretation.
ParasitePrincipal Component
123
Isospora belli0.710
Strongyloides stercoralis0.601−0.433
Giardia lamblia0.594
Dientamoeba sp.0.429
Entamoeba sp. 0.647
Ascaris lumbricoides 0.619
Enterobius vermicularis 0.801
Blastocystis sp. 0.3080.607
Table
Table 4. Characteristics of individuals included in the 6 clusters obtained in the study. Absence or presence of a particular pathogen was recorded as 0 and 1, respectively.
Table 4. Characteristics of individuals included in the 6 clusters obtained in the study. Absence or presence of a particular pathogen was recorded as 0 and 1, respectively.
ClusterFrequencyAscaris lumbricoidesDientamoeba sp.Strongyloides stercoralisEntamoeba sp.Enterobius vermicularisGardia lambliaIsospora belliBlastocystis sp.
0101010101010101
13277/3680 (89%)3277 3277 3277 3277 3277 3277 3277 3277
253/3680 (1.4%)53 45853 53 53 84553 449
316/3680 (0.4%)16 16 16 16 1616 16 88
423/3680 (0.6%)18522123 41923 2122211112
510/3680 (0.3%)10 914610 10 555546
6301/3680 (8.2%)301 301 301 301 301 301 301 301
Total36803675536701036746366119366416362852367463344336
Table
Table 5. Description of the number of patients with Blastocystosis and co-infections included in each cluster, except cluster 1 (only controls) and cluster 6 (patients carrying exclusively Blastocystis).
Table 5. Description of the number of patients with Blastocystosis and co-infections included in each cluster, except cluster 1 (only controls) and cluster 6 (patients carrying exclusively Blastocystis).
Cluster NumberPatients Infected with Blastocysts sp.Patients with Co-InfectionCo-Infection
294/336 (1.2%)Giardia lamblia
5/336 (1.5%)Dientamoeba sp.
388/336 (2.4%)E. vermicularis
4126/336 (1.8%)Entamoeba sp.
1/336 (0.3%)Entamoeba sp./G. lamblia
4/336 (1.2%)A. lumbricoides
1/336 (0.3%)A. lumbricoides/Dientamoeba sp./Entamoeba sp./G. lamblia/I. belli
564/336 (1.2%)G. lamblia/I. belli
1/336 (0.3%)S. stercoralis/I. belli
1/336 (0.3%)Dientamoeba sp./S stercoralis/I. belli
Table
Table 6. Final model for binary logistic regression, showing the significant associations of blastocystosis to patient’s origin, presence of pathogenic bacteria, abdominal pain, anorexia, halitosis, type 2 diabetes and corticosteroid treatment, and relative eosinophilia (quantitative variable).
Table 6. Final model for binary logistic regression, showing the significant associations of blastocystosis to patient’s origin, presence of pathogenic bacteria, abdominal pain, anorexia, halitosis, type 2 diabetes and corticosteroid treatment, and relative eosinophilia (quantitative variable).
VariableBSEWalddfp-ValueOdds Ratio (OR)95% CI for Odds Ratio
LowerUpper
Geographical origin 9.20540.056
Rest of Europe−0.1410.9180.02410.8780.8680.1445.250
Africa2.0250.8106.24910.0127.5741.54837.046
America1.8280.8734.39110.0366.2231.12534.411
Asia0.7261.6290.19910.6562.0670.08550.360
Pathogenic bacteria4.8901.36712.8041<0.001132.9609.1301936.310
Abdominal pain2.5680.57619.9011<0.00113.0414.22040.300
Anorexia3.1350.94311.05510.00122.9993.623146.016
Halitosis5.7531.63212.4331<0.001315.22012.8757717.767
Type 2 diabetes2.0210.7227.83710.0057.5471.83331.070
Corticosteroids treatment−5.9981.57414.5141<0.0010.0020.0000.054
Relative eosinophilia7.0080.658113.3741<0.0011105.260304.2594014.997
Constant−9.4870.831130.2501<0.0010.000
B: regression coefficient; SE: standard error; df: degrees of freedom; 95% CI: 95% interval of confidence.
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Matovelle, C.; Tejedor, M.T.; Monteagudo, L.V.; Beltrán, A.; Quílez, J. Prevalence and Associated Factors of Blastocystis sp. Infection in Patients with Gastrointestinal Symptoms in Spain: A Case-Control Study. Trop. Med. Infect. Dis. 2022, 7, 226. https://doi.org/10.3390/tropicalmed7090226

AMA Style

Matovelle C, Tejedor MT, Monteagudo LV, Beltrán A, Quílez J. Prevalence and Associated Factors of Blastocystis sp. Infection in Patients with Gastrointestinal Symptoms in Spain: A Case-Control Study. Tropical Medicine and Infectious Disease. 2022; 7(9):226. https://doi.org/10.3390/tropicalmed7090226

Chicago/Turabian Style

Matovelle, Cristina, María Teresa Tejedor, Luis Vicente Monteagudo, Antonio Beltrán, and Joaquín Quílez. 2022. "Prevalence and Associated Factors of Blastocystis sp. Infection in Patients with Gastrointestinal Symptoms in Spain: A Case-Control Study" Tropical Medicine and Infectious Disease 7, no. 9: 226. https://doi.org/10.3390/tropicalmed7090226

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