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Leyton J, Fernández J, Acosta P, Quiroga A, Codony F. Reduction of Helicobacter pylori cells in rural water supply using slow sand filtration. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:619. [PMID: 38878080 PMCID: PMC11180159 DOI: 10.1007/s10661-024-12764-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 05/25/2024] [Indexed: 06/19/2024]
Abstract
Helicobacter pylori is a microorganism that infects 60% of the population and is considered the main cause of atrophic gastritis, gastric and duodenal ulcers, and gastric cancer. Different emerging pathogens have been found in drinking water and their presence is considered to be an important public health problem. For this reason, it is necessary to carry out the validation of reliable technologies for this type of pathogens and evaluate their performance. This paper reports, for the first time, H. pylori reduction in a drinking water pilot plant of two slow sand filters (SSF). Inlet water was taken from a gravel filtration system of a rural water supply in Colombia and then inoculated with viable cells of H. pylori. By determining the Genomic Units (GU) through quantitative Polymerase Chain Reaction (qPCR), the concentration of GU/sample was measured. In the inlet water amplification for SSF1 and SSF2 were 5.13 × 102 ± 4.48 × 102 and 6.59 × 102 ± 7.32 × 102, respectively, while for the treated water they were 7.0 ± 5.6 and 2.05 × 101 ± 2.9 × 101 GU/sample for SSF1 and SSF2, respectively. The SSF pilot plant reached up to 3 log reduction units of H. pylori; therefore, since there is not an H. pylori contamination indicator and its periodic monitoring is financially complicated, the SSF could guarantee the drinking water quality necessity that exists in rural areas and small municipalities in developing countries, where infection rates and prevalence of this pathogen are high.
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Affiliation(s)
- Javier Leyton
- Department of Environmental and Sanitary Engineering, Faculty of Civil Engineering, Universidad del Cauca, Popayán, Colombia.
| | - Javier Fernández
- Department of Environmental and Sanitary Engineering, Faculty of Civil Engineering, Universidad del Cauca, Popayán, Colombia
| | - Patricia Acosta
- Department of Physiological Sciences, Faculty of Health Sciences, Universidad del Cauca, Popayán, Colombia
| | - Andrés Quiroga
- Department of Physiological Sciences, Faculty of Health Sciences, Universidad del Cauca, Popayán, Colombia
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Ekundayo TC, Swalaha FM, Ijabadeniyi OA. Socioeconomic indices guided linear mixed-effects and meta-regression modelling of the temporal, global and regional prevalence of Helicobacter pylori in environmental waters: A class I carcinogen. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 342:118282. [PMID: 37315468 DOI: 10.1016/j.jenvman.2023.118282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/04/2023] [Accepted: 05/26/2023] [Indexed: 06/16/2023]
Abstract
Environmental waters (EW) substantially lend to the transmission of Helicobacter pylori (Hp). But the increase in Hp infections and antimicrobial resistance is often attributed to socioeconomic status. The connection between socioeconomic status and Hp prevalence in EW is however yet to be investigated. This study aimed to assess the impacts of socioeconomic indices (SI: continent, world bank region (WBR), world bank income (WBI), WHO region, Socio-demographic Index (SDI quintile), Sustainable Development Index (SuDI), and Human Development Index (HDI)) on the prevalence of Hp in EW. Hp-EW data were fitted to a generalized linear mixed-effects model and SI-guided meta-regression models with a 1000-resampling test. The worldwide prevalence of Hp in EW was 21.76% [95% confidence interval [CI]: 10.29-40.29], which declined significantly from 59.52% [43.28-74.37] in 1990-99 to 19.36% [3.99-58.09] in 2010-19 and with increasing trend in 2020-22 (33.33%, 22.66-45.43). Hp prevalence in EW was highest in North America (45.12%, 17.07-76.66), then Europe (22.38%, 5.96-56.74), South America (22.09%, 13.76-33.49), Asia (2.98%, 0.02-85.17), and Africa (2.56%, 0.00-99.99). It was negligibly different among sampling settings, WBI, and WHO regions demonstrating highest prevalence in rural location [42.62%, 3.07-94.56], HIEs [32.82%, 13.19-61.10], and AMR [39.43%, 19.92-63.01], respectively. However, HDI, sample size, and microbiological method robustly predict Hp prevalence in EW justifying 26.08%, 21.15%, and 16.44% of the true difference, respectively. In conclusion, Hp is highly prevalence in EW across regional/socioeconomic strata and thus challenged the uses of socioeconomic status as surrogate for hygienic/sanitary practices in estimating Hp infection prevalence.
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Affiliation(s)
- Temitope C Ekundayo
- Department of Biotechnology and Food Science, Durban University of Technology, Steve Bike Campus, 121 Steve Biko Rd, Musgrave, Berea, 4001, Durban, South Africa.
| | - Feroz M Swalaha
- Department of Biotechnology and Food Science, Durban University of Technology, Steve Bike Campus, 121 Steve Biko Rd, Musgrave, Berea, 4001, Durban, South Africa
| | - Oluwatosin A Ijabadeniyi
- Department of Biotechnology and Food Science, Durban University of Technology, Steve Bike Campus, 121 Steve Biko Rd, Musgrave, Berea, 4001, Durban, South Africa
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Duan M, Li Y, Liu J, Zhang W, Dong Y, Han Z, Wan M, Lin M, Lin B, Kong Q, Ding Y, Yang X, Zuo X, Li Y. Transmission routes and patterns of helicobacter pylori. Helicobacter 2023; 28:e12945. [PMID: 36645421 DOI: 10.1111/hel.12945] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 11/20/2022] [Accepted: 12/21/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND AND OBJECTIVE Helicobacter pylori (H. pylori), a gram-negative bacterium that colonizes the stomach, can cause chronic gastritis and peptic ulcers, as well as gastric cancer as a Class I carcinogen. However, the modes of H. pylori transmission are not clear. This review aims to clarify the transmission routes and patterns of H. pylori and identify efficacious prevention measures. METHODS Studies of H. pylori transmission were identified using PubMed, the Web of Science, and Cochrane Central; the retrieval deadline was October 2022. RESULTS The transmission routes of H. pylori are discussed, focusing on the five primary transmission routes, namely fecal-oral, oral-oral, gastric-oral, anal-oral, and genital-oral. We propose that H. pylori is contracted through multiple transmission routes. Additionally, we summarize the key transmission patterns of H. pylori, including person-to-person and animal-to-human transmission, as well as foodborne and occupational exposure. CONCLUSION Fecal-oral appears to be the most common H. pylori transmission routes. Although the oral-oral pathway is also important, the evidence does not support that this route of transmission is universal. The gastric-oral route occurs primarily in children and patients who are prone to vomiting. Meanwhile, the anal-oral and genital-oral routes remain hypothetical. Person-to-person and foodborne infections represent the predominant transmission patterns of H. pylori, whereas strong environmental and occupational limitations are associated with animal-to-human and occupational exposure.
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Affiliation(s)
- Miao Duan
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Yueyue Li
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Jing Liu
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Wenlin Zhang
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Yi Dong
- Center for Reproductive Medicine, Shandong University, Jinan, China
| | - Zhongxue Han
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Meng Wan
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Minjuan Lin
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Boshen Lin
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Qingzhou Kong
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Yuming Ding
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoyun Yang
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiuli Zuo
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
| | - Yanqing Li
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China
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