Abstract
Background
This study aimed to update the global estimates of microsporidia prevalence, species/genotype distribution and clinical correlates among human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) patients.
Methods
A systematic search of international databases was conducted for studies published between 1 January 2017 and 11 October 2025. Pooled prevalence and odds ratios (ORs) were calculated using a random effects model with 95% confidence intervals (CIs).
Results
Thirty-nine studies from 18 countries (24 cross-sectional, 15 case–control) were included. The pooled prevalence of microsporidia among HIV/AIDS patients was 12% (95% CI 8.9 to 16), significantly higher than in controls (1.9%; odds ratio 5.7 [95% CI 3.33 to 9.74]). A higher pooled prevalence of microsporidia infection was observed in studies published after 2020 (15.9%), in those with sample sizes ≤100 participants (19.2%), in patients with CD4 counts ≤200 cells/μl (58.4%) and in males (64.9%). The highest country-specific prevalence rates were reported from Malaysia (60.9%), Mexico (48.3%), Malawi (37.0%) and South Africa (32.9%). Enterocytozoon bieneusi was the predominant species, accounting for 24 identified genotypes, followed by Encephalitozoon intestinalis, E. cuniculi and E. hellem.
Conclusions
Microsporidia remain a significant opportunistic pathogen in HIV/AIDS patients. Strengthened molecular surveillance, standardized diagnostic protocols and integration of microsporidia screening into HIV/AIDS care are essential to improve outcomes and control transmission.
Keywords: genotype, HIV, microsporidia, prevalence, species, systematic review
Introduction
Microsporidia are diverse unicellular obligate intracellular parasites previously classified as ‘primitive’ protozoa but now recognized as part of the fungi.1,2 Phylogenetic studies position microsporidia alongside Cryptomycota as a basal branch of the fungal kingdom.3 With >1700 species and 220 genera, these microorganisms are incredibly varied, with 17 species known to infect humans. Enterocytozoon bieneusi and Encephalitozoon species such as E. cuniculi, E. hellem and E. intestinalis, are the most prevalent microsporidia in both humans and animals.1,4
These pathogens have emerged as significant opportunistic agents, particularly in individuals with compromised immune systems, such as those living with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS).5 Although first identified in humans in the late 1920s, microsporidia gained prominence in the 1980s with the HIV/AIDS epidemic.6,7 The profound immunodeficiency caused by HIV, particularly as it progresses to AIDS, depletes CD4+ T cells critical for immune defence, rendering patients vulnerable to opportunistic infections, including microsporidiosis.8
In 2023, 39.9 million people globally were living with HIV.9 HIV-related causes led to 630 000 deaths, with >60% occurring in Africa.10 Despite major advances in antiretroviral therapy (ART), opportunistic infections remain a major cause of morbidity and mortality, especially in low- and middle-income countries where ART access and adherence are limited. These persistent infections underscore the ongoing public health burden associated with advanced HIV disease.11
Microsporidial infections are characterized primarily by chronic diarrhoea, malabsorption syndrome, wasting syndrome and other severe gastrointestinal and systemic manifestations that substantially diminish the quality of life and complicate clinical management.12,13 These symptoms typically correlate with the degree of immunosuppression, with patients having CD4 T cell counts <100 cells/μl being at the highest risk for severe outcomes.1,5,8
This systematic review and meta-analysis aimed to address existing gaps in knowledge regarding the global epidemiology of microsporidiosis among individuals living with HIV/AIDS. By examining the genetic diversity of microsporidia species alongside demographic and clinical characteristics of affected patients, this study provides a comprehensive overview intended to inform future research, clinical management and public health policy. Advancing understanding in this area is crucial for mitigating the persistent health burden of microsporidiosis, particularly among vulnerable populations impacted by HIV/AIDS.
Methods
Ethics approval
The current study was approved by the Ethics Committee of Qazvin University of Medical Sciences, Qazvin, Iran (approval no. IR.QUMS.REC.1403.382).
Study design
This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to ensure methodological rigor and transparency.14
Search strategy
A comprehensive and systematic search of electronic databases, including PubMed, Web of Science, Scopus and Google Scholar was conducted to identify relevant studies published between 1 January 2017 and 11 October 2025. The search terms combined controlled vocabulary (e.g. MeSH terms) and free-text keywords related to ‘microsporidia’, ‘intestinal parasites’, ‘HIV’, ‘AIDS’, ‘prevalence’, ‘species’, ‘clinical symptoms’ and ‘CD4 T cell’. Boolean operators (AND, OR) and truncation were applied to maximize the sensitivity and specificity of the search. Reference lists of included studies and relevant reviews were manually screened to identify additional eligible studies.
Inclusion and exclusion criteria
Studies were included if they evaluated HIV/AIDS patients/case group or non-HIV/AIDS patients/control group with confirmed microsporidia infection via molecular, microscopic or serological methods; reported prevalence, species/genotype distribution, demographic and clinical characteristics of affected patients and/or CD4 T cell counts; employed a cross-sectional, case–control or cohort design; and were published in English or widely translated languages. Exclusion criteria encompassed studies lacking sufficient data for extraction, case reports, reviews and those involving animal models or in vitro settings.
Data extraction and quality assessment
Two independent reviewers screened titles, abstracts and full texts for eligibility using a pre-defined screening tool. Discrepancies were resolved through discussion or consultation with a third reviewer. Data extracted included study characteristics (author, year, country, design), diagnostic methods, prevalence rates, microsporidia species/genotypes, age, sex, diarrhoea status and CD4 T cell counts. The quality of included studies was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist. JBI scores categorized studies as low (≤3), moderate (4–6) or high quality (≥7).
Data synthesis and sensitivity analysis
The meta-analysis was conducted using Comprehensive Meta-Analysis version 3 software (Biostat, Englewood, NJ, USA) considering p-values <0.05 as statistically significant. Pooled prevalence estimates with 95% confidence intervals (CIs) were calculated using a random effects model to account for heterogeneity.15 Subgroup analyses were performed based on geographic regions (countries, continents and World Health Organization [WHO] regions), publication years and sample sizes. The pooled random effects odds ratio (OR) was calculated from case–control studies to assess the association between microsporidia prevalence and HIV/AIDS patients. True subgroup meta-analyses for age, sex, CD4 T cell count and diarrhoea status were infeasible due to incomplete denominator reporting across studies. Therefore, pooled proportions were calculated using the distribution of positive microsporidia cases within each category. A forest plot showed the pooled prevalence and 95% CIs, while a funnel plot assessed publication bias. Heterogeneity was quantified using the I2 statistic, with thresholds of 25%, 50% and 75% indicating low, moderate and high heterogeneity, respectively. A sensitivity analysis was conducted by excluding studies to assess the robustness of pooled estimates.
Results
Study selection
The initial search across various databases identified a total of 5451 records. After removing duplicates (2133), 3318 titles and abstracts were screened for relevance. A total of 42 full-text articles were assessed for eligibility, of which 39 met the inclusion criteria (Figure 1).5,16–53
Figure 1.

Flow chart illustrating the process of included studies in this systematic review.
Characteristics of included studies
The included studies, published between 1 January 2017 and 11 October 2025, comprised 24 cross-sectional and 15 case–control studies. Geographically, studies were conducted in 18 countries, with most originating from Iran and India. Sample sizes ranged from 2 to 891 HIV/AIDS patients and diagnostic methods included molecular and microscopic approaches (Table 1).
Table 1.
Data from 39 articles/54 datasets on the prevalence and genotype distribution of microsporidia infection in HIV/AIDS patients.
| Cases | Controls | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Author, year | Time tested | Country | Study type | Total, N | Infected, n (%) | Total, N | Infected, n (%) | Isolated species | Isolated genotypes | Method |
| Aissa et al., 201716 | 2005–2013 | Tunisia | CS | 108 | 17 (15.7) | – | – | E. intestinalis, E. bieneusi | – | MIC, MOL |
| Kaushik et al., 201738 | 2014–2016 | India | CC | 60 | 8 (13.3) | 60 | 2 (3.3) | E. bieneusi, microsporidia spp. | – | MIC, MOL |
| Khanduja et al., 201734 | 2010–2014 | India | CC | 222 | 4 (1.8) | 220 | 0 (0) | E. bieneusi | Ind1, Ind2, Ind3, Ind4 | MIC, MOL |
| Liu et al., 201752 | 2013–2014 | China | CC | 285 | 33 (11.6) | 303 | 0 (0) | E. bieneusi | D, IV/K, PigEBITS7, EbpC, GX25, GX456, GX458 | MOL |
| Nooshadokht et al., 201730 | UC | Iran | CC | 72 | 10 (13.9) | 68 | 1 (1.5) | E. bieneusi | – | MIC, MOL |
| Tavalla et al., 201723 | UC | Iran | CS | 102 | 37 (44.1) | – | – | E. bieneusi, E. intestinalis, E. cuniculi, E. hellem | D, M/-/II/1A | MIC, MOL |
| Tay et al., 201733 | UC | Ghana | CC | 341 | 3 (0.9) | 331 | 0 (0) | Microsporidia spp. | – | MIC |
| Greigert et al., 201832 | 2014–2016 | France | CS | 39 | 2 (5.1) | – | – | E. bieneusi | A, D | MIC, MOL |
| Gupta et al., 201853 | 2013–2014 | India | CS | 100 | 3 (3) | – | – | Microsporidia spp. | – | MIC |
| Huibers et al., 201849 | 2010–2012 | Malawi | CS | 35 | 13 (37) | – | – | E. bieneusi | – | MOL |
| Sahu et al., 201836 | 2016–2017 | India | CS | 105 | 2 (1.9) | – | – | Microsporidia spp. | – | MIC |
| Masoumi-Asl et al., 201925 | 2016 | Iran | CS | 102 | 2 (2) | – | – | E. bieneusi | – | MIC, MOL |
| Rodriguez-Perez, 201919 | 2014–2015 | Mexico | CS | 29 | 14 (48.3) | – | – | Microsporidia spp. | – | MIC |
| Ubanwa et al., 201918 | UC | Nigeria | CC | 518 | 33 (6.4) | 176 | 9 (5.1) | Microsporidia spp. | – | MIC |
| Udeh et al., 201924 | 2018 | Nigeria | CC | 891 | 6 (0.7) | 150 | 0 (0) | E. bieneusi | – | MIC |
| Velásquez, 201939 | 2012–2018 | Argentina | CS | 143 | 18 (12.6) | – | – | E. bieneusi, E. intestinalis | – | MIC, MOL |
| Alain et al., 202026 | UC | Cameroon | CC | 200 | 23 (11.5) | 100 | 2 (2) | Microsporidia spp. | – | MIC |
| de Armas et al., 202048 | 1995–2008 | Spain | CS | 514 | 62 (12.1) | – | – | E. cuniculi | – | MIC, MOL |
| Hosseini et al., 202150 | 2018–2019 | Iran | CS | 80 | 19 (23.7) | – | – | Encephalitozoon spp., Microsporidia spp. | – | MIC, MOL |
| Messaoud et al., 202120 | 2014–2016 | Tunisia | CS | 73 | 12 (16.4) | - | - | E. bieneusi | HNM-III, WL12, WL12-like, Peru8, A, B, S5, D | MIC, MOL |
| Moniot et al., 202117 | 2017–2019 | France | CC | 24 | 5 (20.8) | 187 | 3 (1.6) | E. bieneusi | C, IV | MIC, MOL |
| Samie et al., 202135 | UC | South Africa | CS | 170 | 56 (32.9) | – | – | Microsporidia spp. | – | MOL |
| Khabisi et al., 202229 | UC | Iran | CS | 50 | 12 (24) | – | – | Encephalitozoon spp., E. bieneusi | – | MIC, MOL |
| Khositharattanakool and Somwang, 202228 | 2017–2018 | Thailand | CS | 224 | 5 (2.2) | – | – | E. bieneusi | SH8 | MIC, MOL |
| Al-Brhami, 20225 | 2019–2020 | Yemen | CS | 402 | 57 (14.2) | – | – | Microsporidia spp. | – | MIC |
| Zhao et al., 202251 | 2016–2017 | China | CC | 384 | 56 (14.6) | 199 | 2 (1) | E. bieneusi | – | MOL |
| Ahmadi et al., 202322 | UC | Iran | CC | 50 | 10 (20) | 50 | 3 (6) | E. bieneusi, Encephalitozoon spp. | D, M | MIC, MOL |
| Chozas et al., 202341 | UC | Spain | CS | 81 | 6 (7.4) | – | – | E. bieneusi, E. intestinalis | A | MOL |
| Jiang et al., 202331 | 2013–2017 | China | CS | 155 | 8 (5.2) | – | – | E. bieneusi | D, EbpC, IV, Peru11, A, EbpD, I | MOL |
| Kumar et al., 202327 | 2013–2017 | India | CC | 98 | 17 (17.3) | 165 | 0 (0) | Microsporidia spp. | – | MIC, MOL |
| Didarlu et al., 202437 | 2016–2017 | Iran | CS | 100 | 18 (18) | – | – | E. bieneusi, E. cuniculi | – | MIC, MOL |
| Gómez-Romano et al., 202421 | 2017–2022 | Spain | CS | 2 | 0 (0) | – | – | Microsporidia spp. | – | MOL |
| Yusoff et al., 202440 | 2020–2021 | Malaysia | CS | 23 | 14 (60.9) | – | – | E. bieneusi | – | MIC, MOL |
| Frickmann et al., 202447 | UC | Ghana | CC | 595 | 63 (10.6) | 82 | 0 (0) | Microsporidia spp. | – | MOL |
| Ramezanzadeh et al., 202442 | 2019–2021 | Iran | CS | 137 | 12 (8.8) | – | – | Microsporidia spp. | – | MIC |
| Bahrami et al., 202546 | 2019–2021 | Iran | CS | 161 | 8 (5) | – | – | Microsporidia spp. | – | MIC |
| Nyamngee et al., 202543 | 2022–2023 | Nigeria | CC | 750 | 318 (42.4) | 375 | 72 (19.2) | Microsporidia spp. | – | MIC |
| Pazmino-Gomez, 202544 | 2021–2022 | Ecuador | CS | 85 | 16 (18.8) | – | – | E. bieneusi, E. intestinalis | – | MIC |
| Yurektuk et al., 202545 | UC | Turkey | CC | 100 | 17 (17) | 50 | 3 (6) | Microsporidia spp. | – | MOL |
UC: unclear; CS: cross-sectional; CC: case–control; MIC: microscopic detection; MOL: molecular detection.
Studies with both case and control groups were treated as two datasets.
Pooled prevalence of microsporidia in HIV/AIDS patients
The pooled prevalence of microsporidia infection among HIV/AIDS patients was 12% (95% CI 8.9 to 16), with significant heterogeneity across studies (I2=94.7%, p<0.05) (Figure 2).
Figure 2.

The pooled prevalence of microsporidia infection in HIV/AIDS patients using a random effects model and 95% CIs.
Pooled prevalence of microsporidia in non-HIV/AIDS controls
The weighted prevalence of microsporidia infection in controls was 1.9% (95% CI 0.8–4.6), showing substantial heterogeneity among studies (I2=86.1%, p<0.05) (Figure 3).
Figure 3.

The pooled prevalence of microsporidia infection in non-HIV/AIDS controls using a random effects model and 95% CIs.
Association between microsporidia infection and HIV/AIDS patients
The pooled random effects OR for microsporidia infections in HIV/AIDS patients versus controls was 5.7 (95% CI 3.33 to 9.74; p<0.05) (Figure 4).
Figure 4.

The pooled random effects OR for microsporidia infections in HIV/AIDS patients versus non-HIV/AIDS controls.
Subgroup analysis
Subgroup analyses were performed to explore potential sources of heterogeneity in the pooled prevalence of microsporidia infection among HIV/AIDS patients, based on publication year, continent, WHO region, country and sample size (Table 2).
Table 2.
Subgroup analysis of microsporidia infection in HIV/AIDS patients by publication year, continent, WHO region, country and sample size.
| Subgroup variable | Prevalence, % (95% CI) | Heterogeneity (Q) | df (Q) | I2 (%) | p-Value |
|---|---|---|---|---|---|
| Publication year | |||||
| ≤2020 | 8.4 (5.2–13.4) | 253.4 | 17 | 93.3 | <0.05 |
| >2020 | 15.9 (11.2–22.3) | 362.4 | 20 | 94.5 | <0.05 |
| Continent | |||||
| Africa | 11.4 (6–20.7) | 437.7 | 10 | 97.7 | <0.05 |
| Asia | 11.4 (7.8–16.4) | 189.1 | 19 | 89.9 | <0.05 |
| Central America | 48.3 (31.1–65.9) | 0 | 0 | 0 | >0.05 |
| Europe | 11.3 (7.9–15.9) | 4.9 | 4 | 18.9 | >0.05 |
| South America | 15.3 (10.2–22.3) | 1.6 | 1 | 37.4 | >0.05 |
| WHO region | |||||
| AFR | 10 (4.2–22.1) | 410.9 | 7 | 98.3 | <0.05 |
| AMR | 23.3 (10.2–45) | 17.4 | 2 | 88.5 | <0.05 |
| EMR | 15.4 (10.5–21.9) | 83.7 | 11 | 86.9 | <0.05 |
| EUR | 12.6 (9.2–16.9) | 7.1 | 5 | 29.5 | >0.05 |
| SEAR | 4.6 (1.7–11.4) | 38.7 | 5 | 87.1 | <0.05 |
| WPR | 16.6 (7.9–31.5) | 38.4 | 3 | 92.2 | <0.05 |
| Country | |||||
| Argentina | 12.6 (8.1–19.1) | 0 | 0 | 0 | >0.05 |
| Cameroon | 11.5 (7.8–16.7) | 0 | 0 | 0 | >0.05 |
| China | 10.6 (6.7–16.3) | 8.7 | 2 | 77.1 | <0.05 |
| Ecuador | 18.8 (11.8–28.5) | 0 | 0 | 0 | >0.05 |
| France | 11.5 (2.7–37.8) | 3.2 | 1 | 68.9 | >0.05 |
| Ghana | 3.4 (0.3–30.1) | 19.1 | 1 | 94.8 | <0.05 |
| India | 5.3 (1.9–14) | 29.5 | 4 | 86.4 | <0.05 |
| Iran | 15 (8.6–24.8) | 77.3 | 8 | 89.6 | <0.05 |
| Malawi | 37 (22.8–53.8) | 0 | 0 | 0 | >0.05 |
| Malaysia | 60.9 (40.3–78.3) | 0 | 0 | 0 | >0.05 |
| Mexico | 48.3 (31.1–65.9) | 0 | 0 | 0 | >0.05 |
| Nigeria | 6.8 (0.7–42.2) | 261.4 | 2 | 99.2 | <0.05 |
| South Africa | 32.9 (26.3–40.3) | 0 | 0 | 0 | >0.05 |
| Spain | 11.6 (9.3–14.4) | 1.5 | 2 | 0 | >0.05 |
| Thailand | 2.2 (0.9–5.2) | 0 | 0 | 0 | >0.05 |
| Tunisia | 16 (11.3–22.1) | 0.01 | 1 | 0 | >0.05 |
| Turkey | 17 (10.8–25.7) | 0 | 0 | 0 | >0.05 |
| Yemen | 14.2 (11.1–18) | 0 | 0 | 0 | >0.05 |
| Sample size | |||||
| ≤100 | 19.2 (14.5–25) | 67.7 | 17 | 74.9 | >0.05 |
| >100 | 8.2 (5.2–12.7) | 644.3 | 20 | 96.9 | <0.05 |
By publication period, studies published after 2020 demonstrated a higher pooled prevalence of microsporidia infection (15.9% [95% CI 11.2 to 22.3]) compared with those published in or before 2020 (8.4% [95% CI 5.2 to 13.4]), indicating a possible increase in reported infections in recent years (Supplementary Figure 1).
Across continents, the highest prevalence was observed in Central America (48.3% [95% CI 31.1 to 65.9]), followed by South America (15.3% [95% CI 10.2 to 22.3]), Africa (11.4% [95% CI 6 to 20.7]) and Asia (11.4% [95% CI 7.8 to 16.4]). The lowest prevalence estimates were recorded in Europe (11.3% [95% CI 7.9 to 15.9]). Substantial heterogeneity (I2>89%) was noted for Africa and Asia (p<0.05) (Supplementary Figure 2).
When stratified by WHO region, the highest pooled prevalence was observed in the Region of the Americas (AMR; 23.3% [95% CI 10.2 to 45%]) and the Western Pacific Region (WPR; 16.6% [95% CI 7.9 to 31.5]), while the lowest was found in the South-East Asia Region (SEAR; 4.6% [95% CI 1.7 to 11.4]). Marked heterogeneity persisted across most WHO regions (I2: 86–98%, p<0.05) (Supplementary Figure 3).
Country-specific analyses showed that the highest prevalence was reported in Malaysia (60.9% [95% CI 40.3 to 78.3]), Mexico (48.3% [95% CI 31.1 to 65.9]), Malawi (37.0% [95% CI 22.8 to 53.8]) and South Africa (32.9% [95% CI 26.3 to 40.3]). In contrast, Ghana (3.4% [95% CI 0.3 to 30.1]) and Thailand (2.2% [95% CI 0.9 to 5.2]) showed the lowest prevalence rates (Figure 5). Considerable between-study heterogeneity was evident in several countries, suggesting differences in diagnostic methods, population characteristics or study design (Supplementary Figure 4).
Figure 5.

The distribution and prevalence of microsporidia infection in HIV/AIDS patients by country.
Regarding sample size, studies with ≤100 participants showed a markedly higher pooled prevalence (19.2% [95% CI 14.5 to 25]) compared with studies with >100 participants (8.2% [95% CI 5.2 to 12.7]). Notably, heterogeneity was significantly greater in the latter group (I2=96.9%, p<0.05) (Supplementary Figure 5).
Analysis of demographic and clinical variables
Due to incomplete reporting of total denominators for each variable across studies, subgroup meta-analyses could not be performed for age, sex, CD4 T cell count and diarrhoea status. Instead, pooled proportions were calculated based on the distribution of positive microsporidia cases within each category (Table 3).
Table 3.
Distribution of positive microsporidia cases in HIV/AIDS patients, categorised by age, sex, CD4 T cell count and diarrhoea.
| Variables | Prevalence, % (95% CI)a | Datasetsb, n | df (Q) | Heterogeneity (Q) | I2 |
|---|---|---|---|---|---|
| Age group (years) | |||||
| ≤40 | 55.9 (20.8–86) | 2 | 1 | 3.6 | 72.5 |
| >40 | 44.1 (14–79.2) | 2 | 1 | 3.6 | 72.5 |
| Sex | |||||
| Female | 35.1 (20.9–52.5) | 4 | 3 | 2.4 | 0 |
| Male | 64.9 (47.5–79.1) | 4 | 3 | 2.4 | 0 |
| CD4 T cell count | |||||
| ≤200 | 58.4 (46.4–69.4) | 17 | 16 | 38.1 | 57.9 |
| >200 | 36.9 (25.3–50.2) | 15 | 14 | 35.9 | 61.1 |
| Symptoms | |||||
| Diarrhoea | 36.4 (27.8–45.9) | 7 | 6 | 6.1 | 1.5 |
| Non-diarrhoea | 61.9 (49.7–72.8) | 5 | 4 | 5.8 | 31.2 |
The reported values represent the proportion of microsporidia-positive cases within each category (age, sex, CD4 count and diarrhoea) relative to the total number of positive cases rather than true subgroup-specific prevalence. This is because the denominators (i.e. the total number of individuals tested in each group) were not consistently provided across studies.
The variation in the number of datasets arises from the fact that not all included studies reported data for every classification within a given variable. For instance, in some studies all HIV/AIDS participants or all microsporidia-positive cases belonged to a single category (e.g. only ≤40 y or >40 y). Such inconsistencies limited the ability to calculate accurate proportions. Therefore, these findings should be interpreted with caution, as they primarily reflect the distribution of available data rather than definitive epidemiological patterns.
Among positive cases, microsporidia infection was more common in males (64.9% [95% CI 47.5 to 79.1]) than in females (35.1% [95% CI 20.9 to 52.5]) (Supplementary Figure 6). Patients ≤40 y of age represented a slightly higher share of positive cases (55.9% [95% CI 20.8 to 86]) compared with those >40 y of age (44.1% [95% CI 14.0 to 79.2]) (Supplementary Figure 7).
Regarding immune status, patients with CD4 counts ≤200 cells/μl accounted for the majority of positive infections (58.4% [95% CI 46.4 to 69.4]) (Supplementary Figure 8). Patients presenting with diarrhoea had a lower pooled proportion of positivity (36.4% [95% CI 27.8 to 45.9]) compared with non-diarrheic individuals (61.9% [95% CI 49.7 to 72.8]) (Supplementary Figure 9), although this finding should be interpreted with caution due to variability in symptom reporting and data limitations.
Species distribution
Among the studies reporting species data, E. bieneusi was the most frequently identified species, followed by E. intestinalis, E. cuniculi and E. hellem. In total, 26 microsporidia genotypes were identified in HIV/AIDS patients, with E. bieneusi accounting for the majority (24 genotypes: A, B, C, D, M, I, IV, Ind1, Ind2, Ind3, Ind4, PigEBITS7, GX25, GX456, GX458, HNM-III, WL12, WL12-like, Peru8, S5, SH8, EbpC, Peru11 and EbpD). Several of these genotypes (D, I, EbpC and IV) have been associated with zoonotic transmission. E. cuniculi and E. hellem each had a single genotype, reported as II and 1A, respectively (Table 1).
Quality assessment and sensitivity analysis
According to the JBI checklist, 23 studies were rated as high quality and 16 studies as moderate quality (Supplementary Table 1). Sequential exclusion of individual studies did not significantly alter the overall prevalence estimate, indicating the robustness of the findings (Supplementary Figure 10).
Publication bias
The current systematic review and meta-analysis found a significant publication bias (Egger’s regression: intercept=−4.06, 95% lower limit=−6.35, 95% upper limit=−1.77, t-value=3.59, p<0.05) (Figure 6).
Figure 6.

Publication bias in the present study.
Discussion
Microsporidia are opportunistic intracellular parasites that pose significant health risks to individuals living with HIV/AIDS, particularly those with advanced immunosuppression.54 These organisms can cause chronic gastrointestinal and respiratory infections that lead to persistent diarrhoea, weight loss and malnutrition, major challenges in the management of HIV/AIDS.55,56 The presence of microsporidia often indicates advanced disease and immune compromise, serving as a marker for other concurrent opportunistic infections.57–59 Early diagnosis and treatment are therefore critical in preventing severe complications and improving patient outcomes.60,61
Systematic reviews and meta-analyses are essential for clarifying the global epidemiology of opportunistic infections. By synthesizing evidence across regions and populations, they improve statistical power, identify common risk factors and guide both clinical and public health decision-making. The present study updates previous analyses by incorporating recent data (2017–2025) and expanding the scope to include demographic, immunologic and species/genotype-level information on microsporidia infections in HIV/AIDS patients.
A previous meta-analysis of studies up to 2016 found a pooled microsporidia prevalence of 11.8% in HIV/AIDS patients.57 In the present updated analysis, which includes 39 studies published between 2017 and 2025, the overall prevalence of microsporidia among HIV/AIDS patients was slightly higher at 12% (95% CI 8.9 to 16). This modest increase suggests that the burden of microsporidia infection remains relatively stable over time, despite the inclusion of recent studies and variations in study design and geographic coverage. The persistent prevalence highlights ongoing diagnostic and management challenges, particularly in resource-limited settings where access to advanced diagnostic tools and antiretroviral therapy may be constrained. Overall, these findings underscore that microsporidia continue to represent a consistent global health concern among people living with HIV/AIDS. The current analysis also confirmed that microsporidia infection was significantly more frequent in HIV/AIDS patients (12%) than in controls (1.9%), with a pooled OR of 5.7 (95% CI 3.33 to 9.74). This strong association highlights the close link between immunodeficiency and susceptibility to microsporidia infection.
Subgroup analysis by sample size revealed that smaller studies tend to report higher prevalence estimates, a pattern often linked to publication bias or the inclusion of high-risk cohorts in small-scale investigations. Consistent with this, the current systematic review and meta-analysis detected significant publication bias. These findings underscore the need for cautious interpretation of prevalence estimates, particularly from smaller studies, and highlight the importance of conducting large-scale, population-based research with standardized diagnostic methods to obtain more reliable and generalizable results.
Notably, the prevalence of microsporidia infection nearly doubled in studies published after 2020. While this trend should be interpreted cautiously, several plausible explanations exist. The apparent increase may reflect disruptions in HIV care and diagnostic services during the COVID-19 pandemic, including delayed ART initiation, reduced access to routine testing or reallocation of laboratory resources away from parasitological diagnostics. Conversely, it could also indicate improved molecular detection techniques or a genuine shift in epidemiology due to changing host or environmental factors. As data remain limited, this observation should be considered exploratory and warrants further investigation through well-designed, post-pandemic surveillance studies.
Geographic analysis revealed substantial variation, with higher prevalence estimates reported from Malaysia (60.9%), Mexico (48.3%), Malawi (37%) and South Africa (32.9%), based on single datasets, while Iran and India contributed a disproportionately large number of studies. This imbalance limits the generalizability of the pooled global estimate. The high prevalence reported in individual countries should be interpreted as preliminary and not necessarily representative of the broader regional situation. Future studies should prioritize underrepresented areas to achieve more balanced and globally representative estimates.
Analyses of demographic and clinical correlates provided additional insights, although they were limited by incomplete data. The higher proportion of infection in younger adults (≤40 y) is consistent with previously reported patterns in HIV epidemiology, where younger individuals often represent the most affected demographic groups.62 Among the microsporidia-positive cases, the proportion of HIV/AIDS-positive males was higher than that of females. However, the limited availability of data in this area prevents these findings from being generalized to larger populations. The strong association of microsporidia positivity with CD4 counts ≤200 cells/μl aligns with its well-known role as an opportunistic infection in advanced immunosuppression.33 Interestingly, a greater share of microsporidia-positive cases was observed among non-diarrhoeic patients, which may suggest underrecognition of asymptomatic carriage or methodological differences in symptom reporting. However, this observation should be interpreted cautiously, as most studies included were not designed to compare symptomatic versus asymptomatic infections.
Among identified species, E. bieneusi was dominant, followed by E. intestinalis, E. cuniculi and E. hellem. A total of 26 genotypes were identified, 24 of which belonged to E. bieneusi. The genetic diversity of E. bieneusi in HIV/AIDS patients, especially genotypes D, EbpC, IV and I, which are frequently associated with zoonotic transmission, has important public health implications.63 These genotypes are known to infect both humans and animals, suggesting multiple transmission routes and potential for cross-species adaptation. Understanding genotype distribution can therefore inform surveillance strategies and highlight the need for a One Health approach to microsporidiosis control.
Therapeutically, albendazole and fumagillin remain the primary agents for treating microsporidiosis; however, their efficacy varies across species and genotypes. Albendazole shows limited activity against E. bieneusi, whereas fumagillin is more effective but carries toxicity risks.56,64 Furthermore, clinicians should remain vigilant for Immune Reconstitution Inflammatory Syndrome (IRIS) following ART initiation, as immune recovery can paradoxically exacerbate or unmask latent microsporidial infections. Integrating early detection of microsporidia into HIV management protocols may help mitigate such complications.65,66
While this updated meta-analysis offers valuable insights into the current epidemiology of microsporidiosis among HIV/AIDS patients, several limitations should be acknowledged. The data were disproportionately derived from a few geographic regions, and some subgroups included only a limited number of studies. The high degree of heterogeneity observed across studies likely reflects differences in diagnostic techniques (e.g. microscopy versus polymerase chain reaction), study populations and regional contexts. In addition, the proportional analyses for variables such as age, sex, CD4 count and diarrhoea were restricted by incomplete data reporting, as the denominators for each variable were often unavailable. As a result, these findings represent proportional distributions among positive cases rather than true subgroup-specific prevalence rates. In addition, evidence of potential publication bias and small-study effects suggest that the pooled estimates should be interpreted with caution. Overall, the findings of the current study lay the groundwork for more standardized and geographically diverse research.
Conclusions
This updated systematic review and meta-analysis provides an integrated overview of microsporidia infections among HIV/AIDS patients between 2017 and 2025, reaffirming their clinical and epidemiological significance in the era of ART. The pooled global prevalence of 12%, more than fivefold higher than in HIV-negative controls, underscores the continued vulnerability of immunocompromised populations, particularly those with CD4 T cell counts ≤200 cells/μl. The predominance of E. bieneusi, with its extensive genotype diversity and zoonotic potential, highlights the importance of adopting a One Health perspective in surveillance and prevention strategies. Marked regional variation and considerable heterogeneity emphasize the urgent need for standardized diagnostic methods, harmonized data reporting and inclusion of underrepresented regions in future research. Clinically, routine screening for microsporidia in HIV/AIDS patients, especially those with advanced immunosuppression or unexplained gastrointestinal symptoms, could improve early detection and management. Strengthening laboratory capacity, integrating molecular diagnostics into routine HIV/AIDS care and promoting multicentric, longitudinal studies will be essential to refine our understanding of transmission dynamics, treatment responses and the broader public health implications of microsporidiosis.
Supplementary Material
Acknowledgements
None.
Contributor Information
Ali Asghari, Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Mohammad Reza Mohammadi, Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Roumina Norouzi, Medical Faculty, University of Belgrade, 11000 Belgrade, Serbia.
Shayan Heidari, Medical Faculty, University of Belgrade, 11000 Belgrade, Serbia.
Farshad Kakian, Department of Nursing, School of Nursing, Larestan University of Medical Sciences, Larestan, Iran.
Ali Pouryousef, Leishmaniasis Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Milad Badri, Medical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Farajolah Maleki, Zoonotic Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran; Clinical Research Development Unit, Shahid Mostafa Khomeini Hospital, Ilam University of Medical Sciences, Ilam, Iran.
Maryam Kazem Pour, Zoonotic Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran; Department of Paediatric Dentistry, School of Dentistry, Ilam University of Medical Sciences, Ilam, Iran.
Authors’ contributions
AA and AP planned and designed the study. AA, FK, RN, SH, MR, MB, AP and FM were responsible for the methodology and data extraction. AA and MKP conducted the statistical analysis. AA, AP, MRM and MKP wrote the manuscript and revised it. All authors read and approved the final manuscript.
Funding
None.
Competing interests
None declared.
Ethical approval
The current study was approved by the Ethics Committee of Qazvin University of Medical Sciences, Qazvin, Iran (approval no. IR.QUMS.REC.1403.382).
Data availability
The datasets used and/or analysed during the current study are available in the online version.
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Associated Data
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Supplementary Materials
Data Availability Statement
The datasets used and/or analysed during the current study are available in the online version.
