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Association of small intestinal bacterial overgrowth with Parkinson’s disease: a systematic review and meta-analysis

Abstract

Objective

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease after Alzheimer's disease (AD) worldwide. The prevalence of small intestinal bacterial overgrowth (SIBO) in PD patients is high. We conducted this comprehensive systematic review and meta-analysis to determine the association between SIBO and PD.

Methods

A comprehensive literature search of the PubMed, Cochrane Library and EMBASE databases was performed to identify studies correlating SIBO with PD. Studies were screened, and relevant data were extracted and analysed. We calculated the pooled prevalence of SIBO in all individuals with PD and compared the prevalence of SIBO between the two groups to calculate an odds ratio (OR) and 95% confidence interval (CI). Egger’s test was performed to assess publication bias.

Results

Eleven studies with 973 participants met the inclusion criteria. The pooled prevalence of SIBO in patients with PD was 46% (95% CI 36–56). A random-effects model was applied given the heterogeneity (I2 = 83%) detected among the studies. Egger’s test indicated no publication bias (p = 0.0657). Subgroup analyses showed that the prevalence of SIBO was greater in studies including patients diagnosed using the lactulose hydrogen breath test (LBT) (51%, 95% CI 37–65) than in those including patients diagnosed using the glucose hydrogen breath test (GBT) (35%, 95% CI 20–50), and the prevalence of SIBO in PD was highest (55%, 95% CI 38–72) in patients diagnosed by the LBT and GBT. The prevalence of SIBO was 52% (95% CI 40–64) among patients from Western countries and 33% (95% CI 22–43) among patients from Eastern countries. The pooled OR of SIBO in PD patients compared with healthy controls was 5.22 (95% CI 3.33–8.19, p < 0.00001). We did not identify an obvious predictor of SIBO in PD patients.

Conclusion

In conclusion, our meta-analysis found a strong association between SIBO and PD with approximately half of PD patients testing positive for SIBO. These relationships significantly differed based on diagnostic test and geographic area.

Introduction

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease after Alzheimer's disease (AD) worldwide. The neuropathologic changes of PD include abnormal accumulation of alpha-synuclein and degenerative necrosis of dopaminergic neurons in the substantia nigra [1]. The pathogenesis of PD remains unclear; it is generally believed that it may be related to the environment, ageing, heredity and other factors [2]. The symptoms are the classic triad of Parkinsonian motor features: bradykinesia, resting tremor and rigidity. In addition to the above motor-related manifestations, PD patients often have nonmotor symptoms, such as anosmia, sleep disorders, depression and constipation [3]. PD affects the nerves of the entire gastrointestinal (GI) tract, and most PD patients experience abnormal gastrointestinal motility and delayed gastric emptying. Recent research has shown changes in the intestinal microbiota of PD patients, which is associated with the clinical phenotype of PD [4].

Small intestinal bacterial overgrowth (SIBO) is defined as an increased bacterial density greater than 105 colony-forming units/mL and/or abnormal types of bacteria in the small intestinal tract [5]. SIBO can cause nonspecific symptoms, such as bloating, abdominal pain, diarrhoea and weight loss. The gold standard for diagnosing SIBO is a microbial investigation of jejunal aspirate culture (JAC). Noninvasive tests, such as the lactulose hydrogen breath test (LBT) and glucose hydrogen breath test (GBT), are also used for the diagnosis of SIBO [6]. A large number of studies have confirmed that SIBO may be connected to some central nervous system diseases, such as multiple sclerosis, AD and epilepsy. New work suggests a strong association between PD and SIBO. The prevalence of SIBO in PD reported in recent research was 34% [7]. However, current studies do not provide explicit evidence to confirm the correlation at home and abroad. Therefore, we conducted this comprehensive systematic review and meta-analysis to determine the association between PD and SIBO.

Materials and Methods

Information sources and search strategy

In this systematic review and meta-analysis, studies on the association of SIBO and PD were searched in PubMed, EMBASE and the Cochrane Library from inception to February 2021. The search terms were as follows: (Parkinson OR Parkinson's disease OR Parkinson's syndrome) AND (small intestinal bacterial overgrowth OR small intestine bacterial overgrowth OR SIBO OR small bowel bacterial overgrowth OR SBBO OR breath test OR lactulose hydrogen OR glucose hydrogen OR jejunal aspirate). References in the articles were assessed to retrieve additional potentially relevant studies. There were no language restrictions.

Study selection

Studies were included if they met the following criteria: (a) studies that had a cross-sectional, cohort or case–control design; (b) studies that recruited subjects who met the PD diagnostic criteria; (c) studies in which SIBO was diagnosed with the following tests: the GBT, LBT or JAC; (d) studies that compared the association of PD and SIBO; and (e) studies with full texts available. The exclusion criteria were as follows: (a) case reports, review articles, and letters; (b) animal studies; and (c) studies reporting unclear data.

Data extraction and quality assessment

Two authors (XQ Li and X Feng) independently extracted the following data from each study: first author, year of publication, country, study design, SIBO diagnostic test, prevalence of SIBO in PD patients, SIBO diagnostic criteria, age, sex, course of disease, and quality assessment. The data were reviewed by a third author (Z Jiang). The quality of a cohort study or case control study was evaluated based on the following three domains using the Newcastle–Ottawa scale: the selection of subjects, the comparability of the groups and the determination of the outcome of interest [8]. The quality of a cross-sectional study was assessed using the modified Newcastle–Ottawa scale [9]. Studies with a score ≥ 7 were considered high-quality studies, whereas those with a score < 7 were considered poor quality.

Statistical analysis

The data were analysed in Review Manager (RevMan) version 5.3. We calculated the pooled prevalence of SIBO in all individuals with PD and compared the prevalence of SIBO between the two groups in cohort and case–control studies to calculate an odds ratio (OR) and 95% confidence interval (CI). Here, p-values less than 0.05 were considered statistically significant. We assessed heterogeneity using the I2 statistic. Fixed- and random-effects statistical models were performed for data analysis. If there was high heterogeneity, subgroup analyses were performed to analyse the sources of heterogeneity. Egger’s test was used to assess publication bias, and p > 0.05 in the Egger’s test was considered to indicate no publication bias.

Results

A total of 265 potentially eligible articles were identified based on the described search strategy. Of all the extracted articles, 245 articles were excluded because they were duplicates, reviews, or irrelevant studies. Finally, 11 studies [7, 10,11,12,13,14,15,16,17,18,19] (7 cross-sectional studies and 4 cohort studies) with 973 participants (692 PD patients and 281 controls) met the inclusion criteria (Fig. 1). The characteristics and quality evaluation of the included literatures are shown in Table 1. Ten of the 11 articles [7, 10,11,12,13,14,15,16,17,18] were considered high quality, and one [19] was considered low quality. All the included articles were available in English.

Fig. 1
figure 1

Flow chart of the literature review process

Table 1 Main characteristics of the studies included in this meta-analysis

Prevalence of SIBO in patients with PD

All eleven studies [7, 10,11,12,13,14,15,16,17,18,19] reported the prevalence of SIBO in patients with PD. Overall, the pooled prevalence was 46% (95% CI 36–56) (Fig. 2). The highest prevalence of SIBO was 67% in PD patients diagnosed by LBT [16, 19], and the lowest prevalence was 24% in PD patients diagnosed by GBT [11]. A random-effects model was applied given the heterogeneity (I2 = 83%) detected among the studies. The results of Egger’s test indicated no publication bias (p = 0.0657) (Fig. 3). To explore the variability in the prevalence among the studies, we performed a subgroup analysis based on the type of SIBO diagnostic test. The subgroup analysis showed that the prevalence of SIBO was greater in studies in which patients were diagnosed by the LBT (51%, 95% CI 37–65) than in those in which patients were diagnosed by the GBT (35%, 95% CI 20–50), and the prevalence of SIBO in PD patients was highest (55%, 95% CI 38–72) in studies in which SIBO was diagnosed by the LBT and GBT (Fig. 4). Finally, in subgroup analysis based on geographic area, the prevalence of SIBO was 52% (95% CI 40–64) in patients from Western countries and 33% (95% CI 22–43) in patients from Eastern countries (Fig. 5).

Fig. 2
figure 2

Forest plot of the pooled prevalence of SIBO in PD

Fig. 3
figure 3

Egger’s test showing the publication bias of the pooled prevalence of SIBO in PD (p = 0.0657)

Fig. 4
figure 4

Forest plot of the prevalence of SIBO in PD based on the SIBO diagnostic test

Fig. 5
figure 5

Forest plot of the prevalence of SIBO in PD based on geographic areas

Prevalence of SIBO in PD patients compared with controls

Four case–control studies [12, 14, 17, 19] reported the prevalence of SIBO in 278 Parkinson's disease patients compared with 281 healthy controls. The pooled OR of SIBO in PD patients compared with healthy controls was 5.22 (95% CI 3.33–8.19, p < 0.00001) (Fig. 6). We used the fixed-effects model, and no heterogeneity was noted between the studies (I2 = 0, p = 0.42). However, we could not perform Egger’s test because relatively few studies were included.

Fig. 6
figure 6

Forest plot of odds ratios of SIBO in PD patients compared with controls

Predictors of SIBO in patients with PD

In our study, there were no obvious predictors for SIBO in PD patients. Five studies [10, 12,13,14, 17] including 401 PD patients assessed the link between bloating and SIBO. The prevalence of bloating in PD patients was not significantly different from that in patients without SIBO with a pooled OR of 1.67 (95% CI 0.65–4.27, p = 0.28). Three studies [10, 13, 17] examined disease duration as a predictor of SIBO in PD; the pooled OR of disease duration among the PD individuals with SIBO compared to those without SIBO was − 0.25, and the difference did not reach statistical significance (95% CI − 3.64 to 3.14; p = 0.88). Similarly, no significant differences in the prevalence of constipation [10, 12, 13, 17] and diarrhoea [10, 12, 13, 17] were noted between PD patients with and without SIBO with ORs of 0.38 (95% CI 0.08–1.78, p = 0.22) and 1.06 (95% CI 0.58–1.91, p = 0.86), respectively (Table 2).

Table 2 Results of the meta-analyses in predictors

Discussion

The causes of SIBO include a breakdown of the antibiotic barrier, abnormal gastrointestinal motility, and intestinal anatomical abnormalities. SIBO can trigger an inflammatory response in the intestinal mucosa and increase intestinal permeability. Increased intestinal permeability leads to mucosal immune system exposure to bacterial products, such as endotoxins, thereby increasing the expression of alpha-synuclein [20]. Alpha-synuclein can destroy the integrity of the blood–brain barrier and promote neuroinflammation and injury in the substantia nigra pars compacta [21]. Intestinal bacteria also enhance the inflammatory effect of alpha-synuclein by initiating a natural immune response, causing the misfolding of alpha-synuclein, which results in neurotoxic effects and dopamine neuron apoptosis. These events ultimately lead to the occurrence of PD [22]. PD can affect the autonomic nervous system, and autonomic nervous system dysfunction can lead to gastrointestinal dysfunction. Gastrointestinal symptoms common and precede motor symptoms. In addition, many drugs used to treat dyskinesia can cause gastrointestinal dysfunction [23], further leading to SIBO. SIBO can cause fluctuations in the subsequent absorption of those drugs, which affects the treatment of PD [24, 25]. According to the above mechanisms, studies have shown that faecal microbiota transplantation and probiotics may represent adjuvant therapies for PD [26, 27].

This study is the first systematic review and meta-analysis to summarize the latest evidence of the association between SIBO and PD. The pooled prevalence of SIBO was 46% in PD patients. The prevalence of SIBO appears to be related to the type of diagnostic test used with a greater prevalence associated with the LBT (51%) than the GBT (35%). Regional differences are also noted. The prevalence of SIBO in Western countries (52%) is greater than that in Eastern countries (33%). These results suggest a strong correlation between SIBO and PD. We also examined the relationship between diarrhoea, bloating, and constipation and the occurrence of SIBO in PD patients. Unfortunately, none of these indicators was statistically significant. Thus, no valid predictors have been identified to date.

The prevalence of SIBO varies with different diagnostic methods. In our study, the prevalence of SIBO diagnosed by the LBT was greater than that diagnosed by the GBT. The difference in the prevalence according to the different diagnostic methods may be due to the rapid transport of lactulose in the intestinal tract, which reached the colon quickly, resulting in excessive hydrogen. This may lead to false-positive results [28]. In addition, our study found that the prevalence of SIBO in PD patients was greater in Western countries compared with Asian countries. One possible explanation is that different countries have different eating habits. Fatty and high-carbohydrate foods in Western diets can reduce the abundance of intestinal microbes and increase the numbers of anaerobic bacteria and enteric bacilli. Additionally, differences in metabolism and systemic immune function are noted between people in different regions [5].

Malnutrition and osteoporosis have been reported to be characteristics of PD patients with SIBO in previous studies. When bacteria in the small intestines overgrow, unconjugated bile acids become dominant, bile acid synthesis is inhibited, and the bile acid level is reduced. Decreased lipid absorption occurs when bile acid levels are decreased, and the low triglycerides (TG) levels can be explained by this phenomenon [10]. Tan et al. [29] reported that PD patients exhibit reduce body fat with relatively preserved skeletal muscle mass. Such poor lipid absorption due to SIBO may explain the relationship between PD and weight loss. In addition, PD is independently associated with lower bone mineral density (BMD) [30, 31]. Reductions in bile acid function due to SIBO also will impair the absorption of lipid-soluble vitamins, mainly vitamin D. This feature may be related to osteoporosis and fractures in PD patients.

There are some limitations in our meta-analysis. The sample size was relatively small. Heterogeneity may have existed given the use of different diagnostic methods and populations from different locations, which affects the reliability of the results.

Conclusion

Our meta-analysis identified a strong association between SIBO and PD with approximately half of PD patients testing positive for SIBO. These relationships were significantly different according to type of diagnostic test and geographic area. Therefore, we must pay close attention to enteric microorganisms to prevent nervous system diseases.

Availability of data and materials

The data and material are available from the corresponding author upon request.

References

  1. Dyson SC, Barker RA. Cell-based therapies for Parkinson’s disease. Expert Rev Neurother. 2011;11(6):831–44. https://doi.org/10.1586/ern.11.33.

    Article  CAS  PubMed  Google Scholar 

  2. Yadav HP, Li Y. The development of treatment for Parkinson’s Disease. Adv Parkinson’s Disease. 2015;04(3):59–78. https://doi.org/10.4236/apd.2015.43008.

    Article  Google Scholar 

  3. Mulak A, Bonaz B. Brain-gut-microbiota axis in Parkinson’s disease. World J Gastroenterol. 2015;21(37):10609–20. https://doi.org/10.3748/wjg.v21.i37.10609.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Scheperjans F, Aho V, Pereira PAB, Koskinen K, Paulin L, Pekkonen E, et al. Gut microbiota are related to Parkinson’s disease and clinical phenotype. Mov Disord. 2015;30(3):350–8. https://doi.org/10.1002/mds.26069.

    Article  PubMed  Google Scholar 

  5. Bures J, Cyrany J, Kohoutova D, Frstl M, Rejchrt S, Kvetina J, et al. Small intestinal bacterial overgrowth syndrome. World J Gastroenterol. 2010;16(24):2978–90. https://doi.org/10.3748/wjg.v16.i24.2978.cc.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Gasbarrini A, Corazza GR, Gasbarrini G, Montalto M, Stefano MD, Basilisco G, et al. Methodology and indications of H2-breath testing in gastrointestinal diseases: the Rome Consensus Conference. Aliment Pharmacol Ther. 2010;29(suppl 1):1–49. https://doi.org/10.1111/j.1365-2036.2009.03951.x.

    Article  Google Scholar 

  7. Su A, Gandhy R, Barlow C, Triadafilopoulos G. Utility of the wireless motility capsule and lactulose breath testing in the evaluation of patients with Parkinson’s disease who present with functional gastrointestinal symptoms. BMJ Open Gastroenterol. 2017;4(1):e000132. https://doi.org/10.1136/bmjgast-2017-000132.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Wells G. The Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analyses[C]// symposium on systematic reviews: beyond the basics. 2014.

  9. Moga C, Guo B, Schopflocher D, Harstall C. Development of a quality appraisal tool for case series studies using a modified Delphi technique. Edmonton: Institute of Health Economics; 2012.

    Google Scholar 

  10. Hasuike Y, Endo T, Koroyasu M, Matsui M, Mori C, Yamader M, et al. Bile acid abnormality induced by intestinal dysbiosis might explain lipid metabolism in Parkinson’s disease. Med Hypotheses. 2020;134:109436. https://doi.org/10.1016/j.mehy.2019.109436.

    Article  CAS  PubMed  Google Scholar 

  11. Dibaise JK, Crowell MD, Driver-Dunckley E, Mehta SH, Hoffman-Snyder C, Lin T, et al. Weight loss in Parkinson’s disease: no evidence for role of small intestinal bacterial overgrowth. J Parkinson s Disease. 2018. https://doi.org/10.3233/JPD-181386.

    Article  Google Scholar 

  12. Niu XL, Liu L, Song ZX, Li Q, Wang ZH, Zhang JL, et al. Prevalence of small intestinal bacterial overgrowth in Chinese patients with Parkinson’s disease. J Neural Transm. 2016;123(12):1381–6. https://doi.org/10.1007/s00702-016-1612-8.

    Article  CAS  PubMed  Google Scholar 

  13. Tan AH, Mahadeva S, Thalha AM, Gibson PR, Kiew CK, Yeat CM, et al. Small intestinal bacterial overgrowth in Parkinson’s disease. Parkinsonism Relat Disord. 2014;20(5):535–40. https://doi.org/10.1016/j.parkreldis.2014.02.019.

    Article  PubMed  Google Scholar 

  14. Fasano A, Bove F, Gabrielli M, Petracca M, Zocco MA, Ragazzoni E, et al. The role of small intestinal bacterial overgrowth in Parkinson’s disease. Mov Disord. 2013;28(9):1241–9. https://doi.org/10.1002/mds.25522.

    Article  CAS  PubMed  Google Scholar 

  15. Dobbs SM, Charlett A, John DR, Weller C, Iguodala O, Smee C, et al. Antimicrobial surveillance in idiopathic parkinsonism: indication-specific improvement in hypokinesia following Helicobacter pylori eradication and non-specific effect of antimicrobials for other indications in worsening rigidity. Helicobacter. 2013;18(3):187–96. https://doi.org/10.1111/hel.12035.

    Article  PubMed  Google Scholar 

  16. Dobbs RJ, André C, Dobbs SM, Weller C, Ibrahim MAA, Iguodala O, et al. Leukocyte-subset counts in idiopathic parkinsonism provide clues to a pathogenic pathway involving small intestinal bacterial overgrowth. A surveillance study. Gut Pathogens. 2012;4(1):12–27. https://doi.org/10.1186/1757-4749-4-12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Gabrielli M, Bonazzi P, Scarpellini E, Bendia E, Lauritano EC, Fasano A, et al. Prevalence of small intestinal bacterial overgrowth in Parkinson’s disease. Movement Disord. 2011;26(5):889–92. https://doi.org/10.1002/mds.23566.

    Article  PubMed  Google Scholar 

  18. Charlett A, Dobbs RJ, Dobbs SM, Weller C, Ibrahim MA, Dew T, et al. Blood profile holds clues to role of infection in a premonitory state for idiopathic parkinsonism and of gastrointestinal infection inestablished disease. Gut Pathog. 2009;1(1):20. https://doi.org/10.1186/1757-4749-1-20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Davies KN, King D, Billington D, Barrett JA. Intestinal permeability and orocaecal transit time in elderly patients with Parkinson’s disease. Postgraduate Med J. 1996;72(845):164–7. https://doi.org/10.1093/ageing/23.suppl_2.P11-b.

    Article  CAS  Google Scholar 

  20. Kelly LP, Carvey PM, Keshavarzian A, Shannon KM, Shaikh M, Bakay RAE, et al. Progression of intestinal permeability changes and alpha⁃synuclein expression in a mouse model of Parkinson′s disease. Mov Disord. 2014;29(8):999–1009. https://doi.org/10.1002/mds.25736.

    Article  CAS  PubMed  Google Scholar 

  21. Stolzenberg E, Berry D, Yang D, Lee E Y, Kroemer A, Kaufman S, et al. A Role for neuronal apha-synuclein in gastrointestinal immunity.[J]. J Innate ImNun, 2017,9(5):456–463. DOI:https://doi.org/10.1159/000477990.

  22. Fang X. Potential roIe of gut microbiota and tissue barriers in Parkinson’s disease and amyotrophic lateral sclerosis.[J]. Int J Neurosci, 2016,126(9):771–776. DOI:https://doi.org/10.3109/00207454.2015.1096271.

  23. Fox SH, Katzenschlager R, Lim SY, Ravina B, Seppi K, Coelho M, et al. The movement disorder society evidence based medicine review update:Treatments for the motor symptoms of Parkinson’s Disease.[J].Mov Disord 2011;26(Suppl 3):S2–41. DOI: https://doi.org/10.1002/mds.23884.

  24. Marrinan S, Emmanuel AV, Burn DJ. Delayed gastric Emptying in Parkinson ’s disease.[J]. Mov Disord 2014;29(1):23–32. DOI: 10.1002 / mds.25708.

  25. Doi H, Sakakibara R, Sato M, Masaka T, Kishi M, Tateno A, et al. Plasma levodopa peak delay and impaired gastric emptying in Parkinson’s disease.[J]. Neurol Sci 2012;319(1–2):86–8. DOI: https://doi.org/10.1016/j.jns.2012.05.010.

  26. Cassani E, Privitera G, Pezzoli G, Pusani C, Barichella M. Use of probiotics for the treatment of constipation in Parkinson’s disease patients.[J].Minerva Gastroenterol Dietol , 2011,57(2):117–121. DOI: https://doi.org/10.1109/IFOST.2011.6021087.

  27. Xu MQ. Fecal microbiota transplantation broadening its application beyond intestinal disorders [J] .World J Gastroenterol, 2015,21(1):102–111. DOI: https://doi.org/10.3748/wjg.v21.i1.102.c.

  28. Ghoshal UC. How to interpret hydrogen breath tests. J Neurogastroenterol Motil. 2011;17(3):312–7. https://doi.org/10.5056/jnm.2011.17.3.312.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Tan AH, Hew YC, Lim SY, Ramli NM, Kamaruzzaman SB, Tan MP, Grossmann M, Ang BH, Tan JY, Manap MAAA, Tay TK, Tan SL, New RP, Fadzli F, Yee EJ, Moy FM, Mahadeva S, Lang AE. Altered body composition, sarcopenia, frailty, and their clinico-biological correlates, in Parkinson’s disease. Parkinsonism Relat Disord. 2018;56:58–64. https://doi.org/10.1016/j.parkreldis.2018.06.020 (Epub 2018 Jun 13 PMID: 29914840).

    Article  PubMed  Google Scholar 

  30. van den Bos F, Speelman AD, van Nimwegen M, van der Schouw YT, Backx FJ, Bloem BR, Munneke M, Verhaar HJ. Bone mineral density and vitamin D status in Parkinson’s disease patients. J Neurol. 2013;260(3):754–60. https://doi.org/10.1007/s00415-012-6697-x (Epub 2012 Oct 9 PMID: 23052606).

    Article  CAS  PubMed  Google Scholar 

  31. Zhao Y, Shen L, Ji HF. Osteoporosis risk and bone mineral density levels in patients with Parkinson’s disease: a meta-analysis. Bone. 2013;52(1):498–505. https://doi.org/10.1016/j.bone.2012.09.013 (Epub 2012 Sep 19 PMID: 23000281).

    Article  PubMed  Google Scholar 

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Acknowledgements

LXQ would like to thank Dr. JZ, for his invaluable scientific insights during all phases of this project.

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This research received no specific Grant from any funding agency in the public, commercial, or not-for-profit sectors.

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ZJ designed the study. ZJ analysed the data. XL and XF had access to the data and a role in writing the manuscript. All authors read and approved the final manuscript.

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Correspondence to Zheng Jiang.

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Li, X., Feng, X., Jiang, Z. et al. Association of small intestinal bacterial overgrowth with Parkinson’s disease: a systematic review and meta-analysis. Gut Pathog 13, 25 (2021). https://doi.org/10.1186/s13099-021-00420-w

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