Recent research progress on the correlation between metabolic syndrome and Helicobacter pylori infection

Association between non-insulin-based insulin resistance surrogate makers and Helicobacter pylori infection: a population-based study

BACKGROUND

Current evidence on the associations between insulin resistance (IR) and Helicobacter pylori (H. pylori) infection remains limited. This study aimed to investigate the association between non-insulin-based surrogate markers of IR, including the triglyceride glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and the metabolic score for IR (METS-IR), and H. pylori infection in U.S.

POPULATIONS

METHODS

This cross-sectional study involving 939 U.S. participants from the National Health and Nutrition Examination Survey (NHANES) 1999-2000. The associations between three IR surrogate markers and H. pylori infection were respectively investigated using logistic regression model, restricted cubic spline (RCS) curve and subgroup analysis.

RESULTS

Three IR surrogate markers levels were significantly elevated in H. pylori infection participants. There was a positive association between three IR surrogate markers and H. pylori infection, even after adjusting for potential confounding variables by three different models. In subgroup analysis, the adjusted association between three IR surrogate markers and H. pylori infection were more likely to be observed in female and Non-Hispanic White. Additionally, the RCS curve revealed a positive linear correlation between TyG index and H. pylori infection across all three models, and between METS-IR and H. pylori infection in Model 3. However, a positive nonlinear correlation was observed between TG/HDL-C ratio and H. pylori infection in all three models.

CONCLUSIONS

These findings suggest that non-insulin-based IR surrogate markers including TyG index, TG/HDL-C ratio, and METS-IR were all positively associated with H. pylori infection. These markers may serve as the potential indicators for identifying the risk of H. pylori infection in U.S.

POPULATIONS

CLINICAL TRIAL NUMBER

Not applicable.

Association of triglyceride-glucose index with Helicobacter pylori infection in the 1999-2000 NHANES cross-sectional study

Helicobacter pylori (H. pylori) infection is linked to metabolic syndrome and insulin resistance, with the triglyceride-glucose (TyG) index serving as a reliable marker for the latter. This study investigates the association between the TyG index and H. pylori infection. The study utilized cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2000. Participants underwent serologic testing for H. pylori, and the TyG index was calculated from fasting laboratory measurements. Multivariate logistic regression and restricted cubic spline methods were used to assess the association and explore the dose-response relationship. The analysis included 2984 participants. Elevated TyG index values were associated with an increased likelihood of H. pylori infection. The risk of infection rose with higher TyG index quartiles, with the highest quartile showing the most significant increase (OR = 1.54, 95% CI: 1.15-2.07, P = 0.004). A linear relationship between the TyG index and H. pylori infection was demonstrated. The study findings indicate a significant positive association between the TyG index and H. pylori infection. This association highlights the importance of metabolic health in the context of H. pylori infection and suggests that further research is needed to explore the potential implications for health promotion strategies.

Prevalence and associated risk factors of Helicobacter pylori infection in community households in Lanzhou city

BACKGROUND

Helicobacter pylori (H. pylori) infection exhibits a familial clustering phenomenon.

AIM

To investigate the prevalence of H. pylori infection, identify associated factors, and analyze patterns of transmission within families residing in the community.

METHODS

From July 2021 to September 2021, a total of 191 families (519 people) in two randomly chosen community health service centers in the Chengguan District of Lanzhou in Gansu Province, were recruited to fill out questionnaires and tested for H. pylori infection. Individuals were followed up again from April 2023 and June 2023 to test for H. pylori infection. The relationship between variables and H. pylori infection was analyzed using logistic regression and generalized linear mixed models.

RESULTS

In 2021, the individual-based H. pylori infection rate was found to be 47.0% (244/519), which decreased to 38.1% (177/464) in 2023. Additionally, the rate of individual-based H. pylori new infection was 22.8% (55/241). The family-based H. pylori infection rate in 2021 was 76.9% (147/191), which decreased to 67.1% (116/173) in 2023, and the rate of family-based H. pylori new infection was 38.6% (17/44). Individual H. pylori infection was positively correlated with age, body mass index (BMI), eating food that was excessively hot, frequent acid reflux, bloating, and halitosis symptoms, and negatively correlated with family size and nut consumption. New individual H. pylori infection was positively correlated with BMI, other types of family structures, drinking purified water, and frequent heartburn symptoms, while negatively correlated with the use of refrigerators and following a regular eating schedule. A larger living area was an independent protective factor for H. pylori infection in households. Frequently consuming excessively hot food and symptoms of halitosis were independent risk factors for H. pylori infection in individuals; frequent consumption of nuts was an independent protective factor for H. pylori infection. Other types of family structure, drinking purified water, and frequent heartburn symptoms were independent risk factors for new individual H. pylori infection; the use of a refrigerator was an independent protective factor for new H. pylori infections.

CONCLUSION

The household H. pylori infection rate in Lanzhou is relatively high and linked to socio-demographic factors and lifestyles. Eradication efforts and control of related risk factors are recommended in the general population.

Impact of Helicobacter pylori and metabolic syndrome on mast cell activation-related pathophysiology and neurodegeneration

Both Helicobacter pylori (H. pylori) infection and metabolic syndrome (MetS) are highly prevalent worldwide. The emergence of relevant research suggesting a pathogenic linkage between H. pylori infection and MetS-related cardio-cerebrovascular diseases and neurodegenerative disorders, particularly through mechanisms involving brain pericyte deficiency, hyperhomocysteinemia, hyperfibrinogenemia, elevated lipoprotein-a, galectin-3 overexpression, atrial fibrillation, and gut dysbiosis, has raised stimulating questions regarding their pathophysiology and its translational implications for clinicians. An additional stimulating aspect refers to H. pylori and MetS-related activation of innate immune cells, mast cells (MC), which is an important, often early, event in systemic inflammatory pathologies and related brain disorders. Synoptically, MC degranulation may play a role in the pathogenesis of H. pylori and MetS-related obesity, adipokine effects, dyslipidemia, diabetes mellitus, insulin resistance, arterial hypertension, vascular dysfunction and arterial stiffness, an early indicator of atherosclerosis associated with cardio-cerebrovascular and neurodegenerative disorders. Meningeal MC can be activated by triggers including stress and toxins resulting in vascular changes and neurodegeneration. Likewise, H.pylori and MetS-related MC activation is linked with: (a) vasculitis and thromboembolic events that increase the risk of cardio-cerebrovascular and neurodegenerative disorders, and (b) gut dysbiosis-associated neurodegeneration, whereas modulation of gut microbiota and MC activation may promote neuroprotection. This narrative review investigates the intricate relationship between H. pylori infection, MetS, MC activation, and their collective impact on pathophysiological processes linked to neurodegeneration. Through a comprehensive search of current literature, we elucidate the mechanisms through which H. pylori and MetS contribute to MC activation, subsequently triggering cascades of inflammatory responses. This highlights the role of MC as key mediators in the pathogenesis of cardio-cerebrovascular and neurodegenerative disorders, emphasizing their involvement in neuroinflammation, vascular dysfunction and, ultimately, neuronal damage. Although further research is warranted, we provide a novel perspective on the pathophysiology and management of brain disorders by exploring potential therapeutic strategies targeting H. pylori eradication, MetS management, and modulation of MC to mitigate neurodegeneration risk while promoting neuroprotection.

The Role of Helicobacter pylori and Metabolic Syndrome-Related Mast Cell Activation Pathologies and Their Potential Impact on Pregnancy and Neonatal Outcomes

Helicobacter pylori infection, a significant global burden beyond the gastrointestinal tract, has long been implicated in various systemic pathologies. Rising evidence suggests that the bacterium's intricate relationship with the immune system and its potential to induce chronic inflammation impact diverse pathophysiological processes in pregnant women that may in turn affect the incidence of several adverse pregnancy and neonate outcomes. Helicobacter pylori infection, which has been linked to metabolic syndrome and other disorders by provoking pericyte dysfunction, hyperhomocysteinemia, galectin-3, atrial fibrillation, gut dysbiosis, and mast cell activation pathologies, may also contribute to adverse pregnancy and neonatal outcomes. Together with increasing our biological understanding of the individual and collective involvement of Helicobacter pylori infection-related metabolic syndrome and concurrent activation of mast cells in maternal, fetus, and neonatal health outcomes, the present narrative review may foster related research endeavors to offer novel therapeutic approaches and informed clinical practice interventions to mitigate relevant risks of this critical topic among pregnant women and their offspring.

Impact of Helicobacter pylori and metabolic syndrome-related mast cell activation on cardiovascular diseases

Helicobacter pylori, a widely renowned bacterium, has recently gained attention owing to its potential impact on extragastric health. The emergence of research linking H. pylori infection with metabolic syndrome (MetS)-related cardiovascular diseases (CVDs) has raised intriguing questions about the pathogenic linkage and its translational implications for clinicians. MetS encompasses a collection of metabolic abnormalities that considerably elevate the risk of CVDs and cerebrovascular diseases. Emerging evidence supports a potential pathogenetic role of H. pylori for MetS-related disorders through mechanisms implicating chronic smoldering inflammation, insulin resistance (IR), and modulation of immune responses. One intriguing aspect of this possible connection is the role of mast cells (MCs), a subset of immune cells representing innate immune system effector cells. They play a fundamental role in innate immune responses and the modulation of adaptive immunity. Activated MCs are commonly found in patients with MetS-related CVD. Recent studies have also suggested that H. pylori infection may activate MCs, triggering the release of pro-inflammatory mediators that contribute to IR and atherosclerosis. Understanding these intricate interactions at the cellular level provides new insights into the development of therapeutic strategies targeting both H. pylori infection and MetS-related MCs activation. This review investigates the current state of research regarding the potential impact of H. pylori infection and MetS-related MCs activation on the pathophysiology of CVD, thereby opening up new avenues for related research and paving the way for innovative approaches to prevention and treatment in clinical practice

Predictive factors and model validation of post-colon polyp surgery Helicobacter pylori infection

BACKGROUND

Recently, research has linked Helicobacter pylori (H. pylori) stomach infection to colonic inflammation, mediated by toxin production, potentially impacting colorectal cancer occurrence.

AIM

To investigate the risk factors for post-colon polyp surgery, H. pylori infection, and its correlation with pathologic type.

METHODS

Eighty patients who underwent colon polypectomy in our hospital between January 2019 and January 2023 were retrospectively chosen. They were then randomly split into modeling (n = 56) and model validation (n = 24) sets using R. The modeling cohort was divided into an H. pylori-infected group (n = 37) and an H. pylori-uninfected group (n = 19). Binary logistic regression analysis was used to analyze the factors influencing the occurrence of H. pylori infection after colon polyp surgery. A roadmap prediction model was established and validated. Finally, the correlation between the different pathological types of colon polyps and the occurrence of H. pylori infection was analyzed after colon polyp surgery.

RESULTS

Univariate results showed that age, body mass index (BMI), literacy, alcohol consumption, polyp pathology type, high-risk adenomas, and heavy diet were all influential factors in the development of H. pylori infection after intestinal polypectomy. Binary multifactorial logistic regression analysis showed that age, BMI, and type of polyp pathology were independent predictors of the occurrence of H. pylori infection after intestinal polypectomy. The area under the receiver operating characteristic curve was 0.969 [95% confidence interval (95%CI): 0.928-1.000] and 0.898 (95%CI: 0.773-1.000) in the modeling and validation sets, respectively. The slope of the calibration curve of the graph was close to 1, and the goodness-of-fit test was P > 0.05 in the two sets. The decision analysis curve showed a high rate of return in both sets. The results of the correlation analysis between different pathological types and the occurrence of H. pylori infection after colon polyp surgery showed that hyperplastic polyps, inflammatory polyps, and the occurrence of H. pylori infection were not significantly correlated. In contrast, adenomatous polyps showed a significant positive correlation with the occurrence of H. pylori infection.

CONCLUSION

Age, BMI, and polyps of the adenomatous type were independent predictors of H. pylori infection after intestinal polypectomy. Moreover, the further constructed column-line graph prediction model of H. pylori infection after intestinal polypectomy showed good predictive ability.