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Method Article
In this study, a sandwich detection technique based on double antibodies was developed for rapid detection of fecal antigens infected with Helicobacter pylori.
Helicobacter pylori can be parasitic in gastric mucosa, which can cause a series of gastrointestinal diseases after infection and is closely related to gastritis, gastric ulcer, and gastric cancer. The high prevalence of H. pylori infection in regions with poor medical infrastructure and inadequate sanitation areas remains a significant public health concern. Consequently, the development of rapid, simple, and cost-effective screening methods for H. pylori detection in resource-limited settings is of paramount importance.
In this study, we conducted a community-based screening in Shitan Village, Guangdong Province, a remote and underdeveloped area characterized by a permanent population of approximately 300 residents with generally low educational attainment. We employed a double antibody sandwich assay for the detection of H. pylori fecal antigen, a method chosen for its potential applicability in low-resource settings. A total of 261 participants from the village were enrolled, and their fecal samples were analyzed using this technique. For comparative validation, the same samples were subjected to quantitative polymerase chain reaction (qPCR) analysis. Compared with qPCR results, the sensitivity and specificity of the detection of H. pylori antigen in feces were 60.24% and 80.08%. The results demonstrated a strong agreement between the fecal antigen detection method and qPCR (Kappa = 0.630). This study systematically elucidated the principles, procedures, methodologies, and clinical applications of fecal antigen detection for H. pylori infection, aiming to explore latex-based double antibody sandwich technology and establish novel strategies and practical guidelines for its auxiliary diagnosis.
Helicobacter pylori (H. pylori, Hp) is a microaerophilic, spiral-shaped, gram-negative bacterium1. Due to its ability to colonize and chronically infect the human stomach2, this pathogen has been identified as a major etiological factor in the development of gastric adenocarcinoma3,4. In 2015, ~4.4 billion people in the world suffered from H. pylori infection5. The prevalence of H. pylori infection exhibits considerable geographic variation, with developing countries experiencing significantly higher rates compared to developed nations. Notably, in low-income countries and among certain vulnerable populations, the infection rate can reach as high as 75%6.
Although traditional detection methods such as gastroscopy are accurate, their application in large-scale screening and routine follow-up is limited due to their invasiveness, high cost, and low patient acceptance7. Therefore, the search for non-invasive, simple, and rapid diagnostic methods has become an important direction of modern clinical medicine research. The main purpose of a non-invasive diagnosis of H. pylori is to accurately, safely, and conveniently detect whether the patient is infected with H. pylori without endoscopic examination. The urea breath test (UBT), H. pylori fecal antigen test (FAT)8, and serological testing9 are popular noninvasive techniques.
Among these, the UBT is the least intrusive and most accurate procedure available10. The sensitivity and specificity of UBT are higher than 95%11. Among the available non-invasive diagnostic methods, the UBT has been shown to be the most accurate and reliable, as seen in a validation study conducted in Iraq, the UBT may be recommended as the first choice due to its higher performance compared to other methods12. However, UBT also has its drawbacks, such as its high cost and need for mass-spectrometric analysis, which limits the application in remote or resource-limited settings13.
The development of a rapid, non-invasive, and cost-effective diagnostic method for detecting H. pylori infection is critically needed, particularly in resource-limited regions. In this study, we developed a rapid detection technology for H. pylori fecal antigen based on double antibody sandwich detection technology, which can detect H. pylori antigen in fecal samples quickly, effectively, and at low cost. This technology offers significant advantages, including affordability, non-invasiveness, user-friendliness, and adaptability to remote areas. We hypothesize that the double antibody sandwich method for detecting H. pylori fecal antigen will demonstrate sensitivity and specificity comparable to qPCR, positioning it as a viable tool for non-invasive clinical diagnosis.
We comprehensively detailed the principles, procedures, methodological strengths, and clinical applicability of fecal antigen detection for H. pylori infection. To validate its practicality, we conducted an epidemiological investigation and screening in Shitan Village, Qingyuan City, Guangdong Province, China, which is a remote and underdeveloped area with a permanent population of approximately 400 and limited educational attainment. Our results demonstrate that the rapid detection technology of H. pylori antigen in feces designed here can be completed within 20 min. It is highlighted that the rapid detection of H. pylori antigen in feces is a potential and promising tool for rapid and reliable diagnosis of H. pylori infection in remote and backward areas.
This cross-sectional study has been approved by the Ethics Committee of Guangdong Provincial People's Hospital (Approval Number: KY2024-445-01), and the personal data of all study subjects was strictly confidential during the study. All participants signed written informed consent before the experiments. The residents of Shitan village in Qingyuan City, Guangdong Province, in 2024 were selected as the research subjects, and there were no restrictions on age and sex. The double antibody sandwich assay (a qualitative experiment) described below was performed by professional medical and technical personnel according to the instructions. The entire permanent population of the village was selected for this study, regardless of whether they were healthy or had symptoms or any existing diseases related to gastrointestinal diseases.
1. Patient selection
2. Procedure for fecal H. pylori infection antigen detection
NOTE: The algorithm for H. pylori stool antigen testing was designed to ensure the accuracy and reliability of the results, with consideration for simplicity and hygiene. The whole process is divided into five steps: sample collection, sample processing, sample storage, detection, and result interpretation. The working flow chart and schematic diagram of sample detection are shown in Figure 1 and Figure 2.
3. DNA extraction
4. qPCR for the detection of H. pylori and resistance to antibiotics
NOTE: We performed qPCR for the detection of H. pylori infection by amplifying the ureA gene. All the negative quality control products are sterile, purified water. The positive quality control product in the H. pylori nucleic acid detection kit is inactivated H. pylori standard beads (ATCC 43504). A CT ≤ 30 with a typical S-shaped curve is considered positive.
5. Statistical analysis
Questionnaire survey
A total of 261 participants were enrolled in the study, comprising 144 females and 117 males, with ages ranging from 4 to 99 years. The average age of the subjects was 48.30 ± 17.61 years. There were 17 minors (0-17 years old), 202 adults (18-64 years old), and 42 elderly participants (>64 years old). The questionnaire results are shown in Table 1. The majority (90.8%) of the subjects thought it was necessary to carry out H. pylori screening.<...
H. pylori represents one of the most widespread bacterial infections all over the world15. The questionnaire results revealed that 55.2% of the population lacked awareness of H. pylori, while 90.8% believed that H. pylori screening is necessary. These findings underscore the importance of implementing H. pylori screening programs in economically disadvantaged and remote areas16. Although the urea breath test (UBT) is a common diagnostic m...
The authors have no conflicts of interest to declare.
None
Name | Company | Catalog Number | Comments |
DNA extraction kit | Jiangsu mole biotechnology co., ltd | 20230223 | None |
H. pylori fecal antigen detection kit | Hangzhou nuohui healthy technology co., ltd | 20213401126 | None |
H. pylori nucleic acid detection kit | Jiangsu mole biotechnology co., ltd | 20230226 | None |
Real-time fluorescence quantitative PCR | Shanghai Hongshi medical treatment technology co., ltd | 20183221659 | None |
Statistical Product and Service Solutions | IBM company | None | None |
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