Comparison of Helicobacter pylori stool antigen, salivary IgG, serum IgG, and serum IgM as diagnostic markers of H. pylori infection in children

Darma, Andy; Nugroho, Bagus Samsu Tri; Yoanna, Vinny; Sulistyani, Indah; Athiyyah, Alpha Fardah; Ranuh, Reza Gunadi; Sudarmo, Subijanto Marto

doi:10.18502/ijm.v11i3.1316

Cited by 9 publications

(10 citation statements)

References 25 publications

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“…Pathological analysis of gastric samples was carried out by an experienced pathologist to determine the presence of H pylori infection. Histology diagnosis was used here because it has been considered the gold standard in previous studies 28‐30 . After duodenal tissue was obtained, it was immediately transported and stored in PBS at −80°C until DNA extraction.…”

Section: Methodsmentioning

confidence: 99%

Duodenal microbiome in patients with or without Helicobacter pylori infection

et al. 2020

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Background Intestinal microbiota are recognized as an organ with important physiological functions whose alterations have been associated with common diseases including inflammatory intestinal conditions, malnutrition, type‐2 diabetes, and cardiovascular diseases. The composition and function of the microbiota in the distal part of the intestine has been mainly described, while there is limited information on the small intestine microbiota. The objective of the present study was to describe the duodenal microbiome in individuals with dyspepsia in the presence or absence of Helicobacter pylori gastric infection. Materials and Methods Thirty‐eight biopsies from the proximal duodenum of uninfected and 37 from H pylori‐infected individuals were analyzed. Microbiota composition was assessed by PCR amplification and sequencing of 16S rRNA and ITS genes; sequences were analyzed with QIIME2. Results and Conclusions At the phyla level, Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria, and Fusobacteria were predominant in the mucosal associated duodenal microbiota (MAM); at the genera level, we observed the predominance of Ralstonia, Streptococcus, Pseudomonas, Haemophilus, Herbaspirillum, Neisseria, and Veillonella. Microbiota α‐diversity was higher in H pylori‐infected individuals than in non‐infected ones. In terms of β‐diversity metrics, there was a statistically significant difference between groups. Also, relative abundance of Haemophilus, Neisseria, Prevotella pallens, Prevotella 7, and Streptococcus was greater in H pylori‐infected patients. In infected patients, several types of H pylori were present in duodenal MAM. Finally, the majority of duodenal samples had fungi sequences; the most common taxa observed were Recurvomyces followed by Ascomycota and Basidiomycota.

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Section: Methodsmentioning

confidence: 99%

Duodenal microbiome in patients with or without Helicobacter pylori infection

et al. 2020

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“…Beyond serological testing for Hp-I, there are further diagnostic modalities used for the investigation of a possible association between Hp-I and NAFLD: Urea breath test [18][19][20][21][22][23] and the detection of Hp antigen in patients' stool [24] for the diagnosis of Hp-I, as well as sonography [10,19,[23][24][25][26], and liver function tests and various noninvasive indices [10,11,22,27] for the diagnosis of NAFLD. Nevertheless, 13 C urea breath and Hp antigen fecal tests are also not sufficient to substitute the histological diagnostic "gold standard" for detection of active Hp-I; the gold standards for the diagnosis of Hp-I and NAFLD are currently histological examination after gastric and liver biopsies, respectively [28][29][30][31]. However, studies with gastric and liver biopsies are currently scarce [14].…”

Section: Introductionmentioning

confidence: 99%

Active Helicobacter pylori Infection is Independently Associated with Nonalcoholic Steatohepatitis in Morbidly Obese Patients

Doulberis

Srivastava²,

Polyzos

et al. 2020

JCM

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Nonalcoholic fatty liver disease (NAFLD) emerges as an important global burden and Helicobacter pylori infection (Hp-I) has been suggested as a risk factor of NAFLD, although controversy exists. This retrospective study aimed to investigate a potential impact of active Hp-I on NAFLD severity in morbidly obese patients, subjected to bariatric surgery and gastric biopsy for documentation of Hp-I. Of 64 eligible participants, 15 (23.4%) were diagnosed with active Hp-I, showing higher rates of nonalcoholic steatohepatitis (NASH) than those without Hp-I (86.7% vs. 26.5%, respectively; p < 0.001). Concerning histological lesions, steatosis grade (p = 0.027), ballooning (p < 0.001), lobular inflammation (p = 0.003), and fibrosis stage (p < 0.001) were also more severe in Hp-I positive patients. Likewise, liver function tests, insulin resistance, dyslipidemia, and arterial hypertension were significantly higher in Hp-I positive patients. Hp-I was independently positively associated with NASH (beta = 3.27; p = 0.002), severe NASH (beta = 2.37; p = 0.018), and the presence of fibrosis (beta = 3.86; p = 0.001) in a binary regression model, after adjustment for potential confounders. In conclusion, active Hp-Ι was independently associated with NASH and fibrosis, findings offering potential clinical implication.

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“…Serum IgG can more objectively reflect persistent infection, as even in children who recover from H . pylori infection on their own or with eradication, antibody titers are significantly reduced in 3–6 months 52 and will disappear in about 1 year. Serum IgG, combined with stool antigen or the urea breath test (UBT), can suggest current and past infection.…”

Section: Discussionmentioning

confidence: 99%

Association between Helicobacter pylori infection and growth outcomes in children: A meta‐analysis

2022

Helicobacter

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Background Multiple studies have reported the association between Helicobacter pylori (H. pylori) infection and children's growth. The results of these studies are controversial. Our meta‐analysis aimed to evaluate the association between H. pylori infection and growth outcomes in children. Methods We searched PubMed, Embase, Web of Science, and Cochrane Library, as well as two Chinese databases, Wanfang, and CNKI from inception to September 2019. Odds ratios (ORs) and standardized mean differences (SMDs) with their 95% confidence interval (95% CI) were selected as the effect size. We assessed pooled data using a random‐effects model. Subgroup and sensitivity analyses were conducted. Results In total, 29 studies provided data from 9384 subjects. The meta‐analysis results indicated a significant association of H. pylori infection with ponderal growth disorders (OR: 2.47; 95% CI: 1.13, 5.37; p = 0.02) and linear growth disorders (OR =1.76; 95% CI: 1.15, 2.69, p = 0.01). H. pylori infection has an adverse impact on children's height‐for‐age Z (HAZ) scores (SMD = −0.41; 95% CI: −0.69, −0.13; p < 0.01). Pooling SMDs by other outcomes (height, weight, BMI, weight‐for‐age and BMI‐for‐age Z scores, weight‐for‐age percentile scores, and linear and ponderal growth velocity with/without infection and eradication/non‐eradication) all indicated no significant association. Conclusion The current evidence supports the hypothesis that H. pylori infection is associated with growth outcomes in children, mainly HAZ scores. Clinicians might consider H. pylori infection in investigating linear growth disorders in children.

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Comparison of Helicobacter pylori stool antigen, salivary IgG, serum IgG, and serum IgM as diagnostic markers of H. pylori infection in children

Cited by 9 publications

References 25 publications

Duodenal microbiome in patients with or without Helicobacter pylori infection

Duodenal microbiome in patients with or without Helicobacter pylori infection

Active Helicobacter pylori Infection is Independently Associated with Nonalcoholic Steatohepatitis in Morbidly Obese Patients

Association between Helicobacter pylori infection and growth outcomes in children: A meta‐analysis

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