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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol., 31 March 2023
Sec. Microbiome in Health and Disease

Helicobacter pylori infection increases the risk of thyroid nodules in adults of Northwest China

Jia DiJia Di1Zhuang GeZhuang Ge1Qingwei XieQingwei Xie1Danfeng KongDanfeng Kong1Sha LiuSha Liu1Pengwei WangPengwei Wang1Jie LiJie Li2Ning NingNing Ning1Wei QuWei Qu1Rong GuoRong Guo1Danyan ChangDanyan Chang3Jun ZhangJun Zhang3Xiang-hong Zheng*Xiang-hong Zheng1*
  • 1Department of Nuclear Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
  • 2Outpatient Department, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
  • 3Department of Gastroenterology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

Background: Thyroid nodules (TNs) are very common in the adults of Northwest China. The role of Helicobacter pylori (H. pylori) infection in TNs is poorly investigated and even with controversial conclusions. Our study aimed at highlighting the relationship between H. pylori infection and the risk of TNs.

Methods: 9,042 individuals were enrolled with thyroid ultrasonography and 14C-urea breath test (14C-UBT). Baseline characteristics and relevant covariates were obtained, including basic and laboratory indicators. After applying the exclusion criteria, 8,839 patients were included and divided into 2 groups: a cross-sectional study of single follow-up (n=8,711) and a retrospective cohort study of multiple follow-ups for 5 years (n=139).

Results: The prevalence of H. pylori infection and TNs was 39.58% and 47.94% in the adults of Northwest China, respectively. The prevalence of TNs was significantly higher among H. pylori-positive individuals than those without infection (52.55% vs. 44.92%, p<0.01). The result of binary logistic regression revealed that the crude odds ratio (OR) was 1.624 (95% CI 1.242~2.123) in Model 1 without adjustment compared to H. pylori-negative group, and was also positive in Model 2, 3, and 4 (Model 2: OR=1.731, 95% CI 1.294~2.316; Model 3: OR=2.287, 95% CI 1.633~3.205; Model 4: OR=2.016, 95% CI 1.390~2.922) after the adjustment. The data of 5-year follow-up showed that the annual incidence of TNs was significantly higher in individuals with persistent H. pylori infection than non-infected counterparts (all p<0.05).

Conclusions: H. pylori is an independent risk factor for TNs in the adults of Northwest China.

1 Introduction

Thyroid nodules (TNs) are defined as a category of discrete lesions within the thyroid gland by the American Thyroid Association, which can be distinguished from the surrounding thyroid parenchyma in radiography (Haugen et al., 2016). The prevalence of TNs has annually increased, approximately 19%~68% worldwide and an average of 36.9% in China (Bibbins-Domingo et al., 2017; Li et al., 2021). Northwest China is a typically iodine-deficient and economically backward area, and the highest prevalence of TNs in this region reaches 65.6%, which is greater than the average level in China (Chen and Wang, 2016). Ionizing radiation exposure and genetic predisposition are reported to be two major risk factors associated with TNs development in children and adolescents (Bauer, 2019). A combination of dietary habits (iodine intake) and psychosocial factors also affect the occurrence of TNs in the general population (Geng et al., 2023). The traditional risk factors for TNs in Chinese population usually include age, female gender, body mass index (BMI), blood pressure, uric acid, fasting glycemia, etc. (Huang et al., 2022), while novel risk factors for TNs, especially in the adults of Northwest China, are poorly investigated and require further exploration.

Gut microbes play an important role in the development of TNs (Li et al., 2021). As a gram-negative bacterium colonized in the gastric mucosa, Helicobacter pylori (H. pylori) leads to widespread infection in the world, ranging between 85%~95% in developing countries and fluctuating from 30% to 50% in developed countries (Khoder et al., 2019). Growing studies report that H. pylori infection is correlated with the development of multiple thyroid disorders, including TNs (Shen et al., 2013; Figura et al., 2019). However, the data focused on the relationship between H. pylori infection and TNs are still inadequate and inconsistent, which contributes to a controversial conclusion (Hu et al., 2020; Wang et al., 2021). Our study aimed to evaluate the association between H. pylori infection and the risk of TNs.

2 Materials and methods

2.1 Study population

Patients admitted to the second affiliated hospital of Xi’an Jiaotong University from September 2016 to March 2021 who underwent 14C-UBT and thyroid ultrasonography were included in the study (Shaanxi and Gansu provinces, and Ningxia autonomous region). The individuals were divided into 2 groups: a cross-sectional study of single follow-up and a retrospective cohort study of multiple follow-ups (Figure 1A). Patients were excluded on the following criteria: (1) The use of antibiotics, proton pump inhibitors, H2 receptor antagonists, and bismuth within 4 weeks before the tests; (2) History of gastric surgery; (3) Allergic to 14C-urea; (4) Missing information during the follow-up. The study was performed according to the principles of the Declaration of Helsinki and approved by the ethics committee of the second affiliated hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China.

FIGURE 1
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Figure 1 The basic study design and association between (H) pylori infection and the risk for TNs. (A) The basic design flowchart for the study was divided into 2 parts: the single follow-up and multiple follow-ups. A cross-sectional study of single follow-up (n=8,711) and a retrospective cohort study of multiple follow-ups (n=139) were performed, respectively. (B) H. pylori was an independent risk factor for TNs. Model 1: unadjusted; Model 2: adjusted for age, gender, alcohol, seafood consumption habit, WHR, and SBP; Model 3: model 2 plus an adjustment for smoking, family history of thyroid disease, ALT, AST, HDL-C, and TCH; Model 4: model 3 plus an adjustment for BMI, DBP, FT3, FT4, anti-TPO, Tg, and rT3. (C) Persistent H. pylori infection significantly increased the risk of developing TNs at annual follow-up for 5 years.

2.2 Detection of H. pylori infection

All participant information was obtained from the clinical record database of the second affiliated hospital of Xi’an Jiaotong University. H. pylori infection was diagnosed by 14C-UBT, which had been considered the “gold standard” in clinical practice (Aung et al., 2021). In 14C-UBT, all participants were required to fast for more than 6 hours before taking 14C urea capsule. There was a prohibition against eating and drinking before taking the breath sample after waiting for 30 minutes. The positive result was defined as a standard of over 100 disintegrations per minute per millimole (dpm/mmol), while a range of 0~100 was considered negative.

2.3 Definition and classification of TNs

The types of TNs were classified by ultrasonographers with extensive experience in the second affiliated hospital of Xi’an Jiaotong University. TNs were assessed by the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) according to the characteristics of composition, echogenicity, shape, margin, and echogenic foci, which were divided into 5 categories from TR1 (benign) to TR5 (high suspicion of malignancy) (Tessler et al., 2017). To facilitate analysis, TNs had been separately grouped as TR ≤ 2, TR≥4, and TR=3.

2.4 Baseline characteristics and relevant covariates

Baseline characteristics included age, gender, body mass index (BMI), waist-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), smoking, alcohol, seafood consumption habit, and family history of thyroid disease. BMI was calculated by dividing weight (in kilograms) by the square of height (in meters). WHR was defined as the minimum circumference between the iliac crest and the rib cage. Blood pressure was detected with a mercury sphygmomanometer on the arm after individuals rested for 5 minutes. Hypertension was considered systolic blood pressure (SBP)≥140 mmHg or diastolic blood pressure (DBP)≥90 mmHg or anti-hypertensive treatment.

Relevant covariates involved laboratory indicators related to hepatic-renal functions and thyroid hormones. The fresh blood sample after an overnight fast was obtained from a venipuncture for the following measurements: (1) Hepatic-renal functions: alanine aminotransferase (ALT), aspartate aminotransferase (AST), uric acid (UA), serum creatinine (SCr), total cholesterol (TCH), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and fasting blood glucose (FBG); (2) Thyroid hormones: thyroid stimulating hormone (TSH), free T3 (FT3), free T4 (FT4), anti-thyroid peroxidase (anti-TPO), anti-thyroglobulin (anti-Tg), thyroglobulin (Tg), thyroid stimulating hormone receptor antibody (TRAb), reverse T3 (rT3), intact parathyroid hormone (iPTH), and thyroid volume. The normal ranges of blood indicators were shown in the supplementary material in details (Table S1). The thyroid volume was calculated by measuring left and right lateral lobes with the isthmus by ultrasonography.

2.5 Statistical analysis

Statistical analysis was performed by SPSS 22.0 software. The quantitative variables were shown as mean ± standard deviation (X¯±SD) and analyzed by Student’s t-test and one-way ANOVA. The qualitative variables were expressed as a percentage (%) with a number of cases and analyzed by the chi-square (χ2) test. The crude odds ratios (ORs) were estimated with the binary logistic regression. The assignments of potential risk factors in the logistic regression were presented with numbers 0, 1, 2, and 3 (Table S2). The cross-sectional study was performed by a single measurement to explore the association between H. pylori and TNs, while multiple assessments were applied to investigate TNs development with H. pylori infection in retrospective cohort study. A p-value less than 0.05 was considered to be statistically different.

3 Results

3.1 The basic study design and baseline characteristics of participants with and without TNs

A total of 9,042 individuals were enrolled with 14C-UBT and thyroid ultrasonography. After exclusion from the criteria, 8,839 patients were included in the study. A cross-sectional study of single follow-up (n=8,711) and a retrospective cohort study of multiple follow-ups (n=139) were performed, respectively. In the cross-sectional study, the patients were divided into 2 groups according to the presence (n=4,176) or absence (n=4,535) of TNs. In the retrospective cohort study, the individuals were also divided into 2 groups: 61 patients with persistent H. pylori infection and 78 individuals without infection (Figure 1A).

The baseline data showed the characteristics of all enrolled individuals according to the status of TNs. The average prevalence of H. pylori infection and TNs was 39.58% and 47.94% in the adults of Northwest China, respectively. The prevalence of TNs was significantly higher in patients with H. pylori infection than in those without (52.55% vs. 44.92%, p<0.01). The indicators of baseline characteristics were also higher in TNs patients than those without TNs, for example, age, female gender, smoking, alcohol, and seafood consumption habit, as well as family history of thyroid disease. For relevant covariates, the laboratory indicators of hepatic-renal functions and thyroid hormones, also had higher levels in TNs individuals compared to those without TNs, such as ALT, AST, UA, TCH, TSH, FT4, anti-TPO, anti-Tg, Tg, TRAb, and urinary iodine, apart from HDL-C, iPTH, and rT3. Although the p-values for indicators BMI, WHR, blood pressure (SBP/DBP), TG, LDL-C, and FT3 were less than 0.01, we did not consider these covariates to be different between the individuals with and without TNs, due to the small effect sizes (χ2/t). However, the levels of SCr and FBG did not have significant differences between patients with and without TNs (Table 1).

TABLE 1
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Table 1 Baseline characteristics of participants with and without TNs.

3.2 The association between H. pylori infection and the risk of TNs

The prevalence of TNs between positive and negative H. pylori patients was calculated, and the relevant covariates were also analyzed (Table 1). The average prevalence of TNs was 47.94% in the northwestern Chinese adults detected by ultrasonography. The prevalence of TNs was significantly higher in H. pylori-positive individuals than those without infection (52.55% vs. 44.92%, p<0.01). In addition, significant prevalence of TNs was also observed in basic indicators, for example, advanced age, female gender, smoking, alcohol, seafood consumption habit, and family history of thyroid disease (all p<0.01). Moreover, we also found an increased prevalence of TNs in laboratory indicators, such as ALT, AST, UA, TCH, TSH, FT4, anti-TPO, anti-Tg, Tg, TRAb, urinary iodine, and thyroid volume (all p<0.01). However, there was no significant difference in SCr and FBG between patients with and without TNs (p=0.15 and p=0.59). Also, it was noted that rT3 and iPTH were all decreased in subjects with TNs than those without TNs (all p<0.01).

TNs were divided into 5 types according to ACR TI-RADS (TR1~5). We combined these types into 3 clusters, namely TR ≤ 2, TR=3, and TR≥4. There were significant differences in H. pylori infection among 3 clusters of TNs (χ2 = 152.47, p<0.01, Table 2). The proportion of H. pylori infection in the TR≥4 group was considerably higher than that in the TR=3 group (Bonferroni, χ2 = 76.46, p<0.01), but slightly lower compared with the TR ≤ 2 group (Bonferroni, χ2 = 124.33, p<0.01). A binary logistic regression was performed, which obtained 4 models with odds ratios (ORs, Figure 1B). As shown in Model 1, the unadjusted OR for the association between H. pylori infection and TNs was 1.624 (95% CI 1.242~2.123, p<0.01). Model 2 indicated that H. pylori infection was related to an increased risk of TNs with an OR of 1.731 (95% CI 1.294~2.316, p<0.01) after an adjustment for age, gender, alcohol, seafood consumption habit, WHR, and SBP. Model 3 revealed a significant positive correlation (OR=2.287, 95% CI 1.633~3.205, p<0.01) adjusted for additional relevant covariates, including smoking, family history of thyroid disease, ALT, AST, HDL-C, and TCH. On the basis of Model 3, Model 4 indicated that H. pylori was associated with TNs but with a slightly lower risk (OR=2.016, 95% CI 1.390~2.922, p<0.01) than that in Model 3 after an adjustment for BMI, DBP, FT3, FT4, anti-TPO, Tg, and rT3 (Table 2).

TABLE 2
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Table 2 The association between H. pylori infection and risk of TNs.

3.3 The association between persistent H. pylori infection and the risk of developing TN types at annual follow-up for 5 years

A total of 139 patients had been followed-up by 14C-UBT and thyroid ultrasonography for 5 years. Individuals with annually positive 14C-UBT were considered persistent H. pylori infection and TN types were classified by ultrasonography according to ACR TI-RAD. The annual incidences of TNs were all significantly higher in patients with persistent H. pylori infection (all p<0.05) than those without infection at 5-year follow-ups (Figure 1C). There were 14 and 8 new cases with TNs existing in individuals with persistent infection of H. pylori and without infection in the 1st year of the follow-up, respectively. After 5 years, a total of 80 new cases developed TNs during the follow-up, including 57 cases with persistent H. pylori infection and 23 cases without infection (Table 3).

TABLE 3
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Table 3 New cases of patients with TNs at annual follow-up for 5 years.

The association between persistent H. pylori infection and the development of TN types (TR ≤ 2, TR=3, and TR≥4) had been investigated in the 1st year of 5-year follow-up (Table 4). For TNs individuals with H. pylori infection, the indicators including WHR, alcohol, TG, rT3, and iPTH, were all significantly higher than those without infection (all p<0.05). It was interesting to note that WHR, TG, and rT3 were significantly greater in positive patients than their counterparts in the TR≥4 group (all p<0.01). However, we only observed a slight difference of UA in the TR≥4 group (p=0.047), and this difference did not occur in the TR ≤ 2 and TR=3 groups. For other remaining indicators, no differences were observed, regardless of TN types.

TABLE 4
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Table 4 The association between persistent H. pylori infection and risk of developing TN types in the 1st year of 5-year follow-up.

4 Discussion

Our study demonstrated that: (1) H. pylori infection and TNs were both common in the adults of Northwest China, and the prevalence of TNs was higher in H. pylori-positive individuals than those without infection; (2) H. pylori was an independent risk factor for TNs whether or not adjusting for relevant covariates; (3) The development of TNs had been detected in northwestern Chinese adults with persistent infection of H. pylori in multiple follow-ups for 5 years.

Northwest China is a naturally iodine-deficient and economically backward region, contributing to a high prevalence of TNs. Except for traditional risk factors, studies concerning novel risk factors, such as H. pylori, has not been fully investigated. In our cross-sectional study, the result of logistic regression revealed a correlation between H. pylori infection and TNs independent of other relevant covariates. The study reported that H. pylori infection had been positively associated with the presence of TNs, which was consistent with our results (Shen et al., 2013). Moreover, a case-control study including 370 cases indicated that H. pylori infection was significantly higher in patients with benign TNs than in the control group (Bakhshipour et al., 2022). However, there was also an opposite view that the association between H. pylori infection and TNs risk was a lack of sufficient evidence (Wang et al., 2021). The reasons for this discrepancy among different cohorts remained unclear. It might be originated from the biases of selection, information, and confounding. For selection bias, the representative samples of the target population were different, such as adults, adolescents, children, and infants. Information bias was usually caused by a lack of accurate measurements of the variables, such as different methods for detecting H. pylori and TNs, so the standardized method was important at the baseline. Confounding bias prevented study conclusions from reflecting true associations, and the most common confounding factors in the cohort were gender and age.

Although there is no definite consensus on the association between H. pylori infection and TNs risk, the mechanism has not been fully investigated. It has been reported that molecular mimicry is the integrated mechanism of autoimmune thyroid disorder caused by H. pylori (Cuan-Baltazar and Soto-Vega, 2020). There is a cross-reactivity between H. pylori antibodies and thyroid follicles, such as cytotoxin associated gene A, which has a nucleotide sequence similar to thyroid peroxidase (Bassi et al., 2010). Increased levels of inflammatory cytokines and accelerated lymphocytic infiltrations into thyroid follicles lead to thyroid inflammation and autoimmune thyroid disease, especially TNs (Bassi et al., 2010; Figura et al., 2019). Although molecular mimicry is the mainstream hypothesis, it cannot fully explain the mechanism of TNs development. The scholars (Zhang et al., 2019; Wang et al., 2021) have proposed a complementary mechanism for dysbiosis, pointing out the induction of thyroid cancer and TNs are both associated with imbalanced composition of gut microbiome, such as an increasing proportion of H. pylori.

In addition to H. pylori, whether iodine intake induced TNs remained controversial. The opposite conclusion might be contributed to autoimmune thyroiditis caused by unusual iodine intake (too high or too low), which promoted chronic cell proliferation and differentiation. It was interesting to note that proteins, such as anti-TPO, anti-Tg, TRAb, and Tg, increased significantly in TNs individuals. According to the reports (Krátký et al., 2018), both anti-TPO and anti-Tg elevations showed a positive correlation with TNs development. As a TSH receptor, a growing TRAb probably led to Grave’s disease with functional or non-functional TNs (Aydin et al., 2020). In addition, as a tumor marker of the thyroid gland, elevated Tg was often accompanied by TNs, particularly in benign nodules (Hu et al., 2019; Murphy and Gupta, 2020). However, we observed that rT3 decreased in TNs patients, which were opposed to alterations in other thyroid indicators. The decline in rT3 was attributed to the decrease in rT3 production from T4, or the increase in the clearance of rT3 to diiodothyronine (Rhee and Kalim, 2018). Thus, it was not difficult to understand a reduction of rT3 in our results, which was compatible with an increase in FT4.

The development of TNs had been detected in Northwest Chinese adults with persistent infection of H. pylori in multiple follow-ups for 5 years. Higher levels of WHR and TG were observed in H. pylori-positive individuals with TNs than those without infection, which was more prominent in the TR≥4 group. It was also reported that H. pylori resulted in a high WHR (over 0.85 and 0.90 in women and men) and TG, which promoted an elevated risk of TNs (Sharma et al., 2016; Song et al., 2018; Murphy and Gupta, 2020; Jiang et al., 2022). The mechanism of TG inducing TNs might be related to insulin resistance increasing expanded thyroid proliferation and nodular formation (Yasar et al., 2011). We also found that persistent H. pylori infection contributed to the disruption of thyroid hormones, with a decrease in rT3 and an increase in iPTH, especially in the type of TR≥4. The opposing levels of rT3 and iPTH appeared in TNs groups, and its mechanism was speculated as the long-term infection of H. pylori causing irreversible dysfunctions in thyroid and parathyroid glands.

There were a few limitations in our study. Firstly, our study, including cross-sectional and cohort studies, all involved a single-center population. A multicenter data could be better to explain the association between H. pylori and TNs risk. Secondly, there might be a potential observer variation in the TI-RADS grading of TNs by different ultrasonographers. Thirdly, the impact of H. pylori eradication therapy on TNs development remained unclear, which was a part deserving of further study. Finally, there were only 139 individuals initially in the retrospective cohort for a 5-year follow-up, while it fell to a total of 39 after the whole follow-up. Thus, we were prevented from analyzing data after the entire follow-up due to insufficient individuals, but better to complete the analysis in the 1st year.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the ethics committee of the second affiliated hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China. The patients/participants provided their written informed consent to participate in this study.

Author contributions

JD analyzed the data and wrote the whole manuscript. X-HZ provided the idea and designed the study. ZG, QX, DK, and SL collected the clinical data. RG and NN made the questionnaire. DC, PW, and JL assisted in the analysis of data. WQ and JZ assisted in revising the article. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by grants from the China Postdoctoral Science Foundation (2022M712556) and the Natural Science Foundation of Shaanxi Province, China (2022JQ-838).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcimb.2023.1134520/full#supplementary-material

References

Aung, W. P., Aye, T. T., Aye, K. S., Kyaw, A. M. M. (2021). Levofloxacin-based Helicobacter pylori eradication in chronic dyspepsia. GastroHep. 3, 394–400. doi: 10.1002/ygh2.478

CrossRef Full Text | Google Scholar

Aydin, C., Bader, H., Cuhaci, N., Ozdemir, D., Ersoy, R., Cakir, B., et al. (2020). Thyrotrophin receptor antibody is not associated with thyroid cancer in patients with toxic nodular and multinodular goiter. Ankara. Medical. J. 20, 234–241. doi: 10.5505/amj.2020.79553

CrossRef Full Text | Google Scholar

Bakhshipour, A., Amirian, M., Heidari, Z. (2022). Association of Helicobacter pylori infection with papillary thyroid carcinoma: A case-control study. Int. J. Cancer Manage. 15, e118031. doi: 10.5812/ijcm-118031

CrossRef Full Text | Google Scholar

Bassi, V., Santinelli, C., Iengo, A., Romano, C. (2010). Identification of a correlation between Helicobacter pylori infection and graves’ disease. Helicobacter 15, 558–562. doi: 10.1111/j.1523-5378.2010.00802.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bauer, A. J. (2019). Thyroid nodules in children and adolescents. Curr. Opin. Endocrinol. Diabetes Obes. 26, 266–274. doi: 10.1097/MED.0000000000000495

PubMed Abstract | CrossRef Full Text | Google Scholar

Bibbins-Domingo, K., Grossman, D. C., Curry, S. J., Barry, M. J., Davidson, K. W., Doubeni, C. A., et al. (2017). Screening for thyroid cancer: US preventive services task force recommendation statement. JAMA 317, 1882–1887. doi: 10.1001/jama.2017.4011

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, P., Wang, M. (2016). Investigation on the incidence of thyroid disease among 16929 medical workers in western China. J. Baotou Med. Coll. 32, 9–11. doi: 10.16833/j.cnki.jbmc.2016.01.006

CrossRef Full Text | Google Scholar

Cuan-Baltazar, Y., Soto-Vega, E. (2020). Microorganisms associated to thyroid autoimmunity. Autoimmun. Rev. 19, 2614. doi: 10.1016/j.autrev.2020.102614

CrossRef Full Text | Google Scholar

Figura, N., Di Cairano, G., Moretti, E., Iacoponi, F., Santucci, A., Bernardini, G., et al. (2019). Helicobacter pylori infection and autoimmune thyroid diseases: The role of virulent strains. Antibiotics (Basel) 9, 12. doi: 10.3390/antibiotics9010012

PubMed Abstract | CrossRef Full Text | Google Scholar

Geng, D., Zhou, Y., Su, G. Y., Si, Y., Shen, M. P., Xu, X. Q., et al. (2023). Influence of sex, age and thyroid function indices on dual-energy computed tomography-derived quantitative parameters of thyroid in patients with or without hashimoto’s thyroiditis. BMC Med. Imaging 23, 25. doi: 10.1186/s12880-023-00983-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Haugen, B. R., Alexander, E. K., Bible, K. C., Doherty, G. M., Mandel, S. J., Nikiforov, Y. E., et al. (2016). 2015 American thyroid association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: the American thyroid association guidelines task force on thyroid nodules and differentiated thyroid cancer. Thyroid 26, 1–133. doi: 10.1089/thy.2015.0020

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Y., Li, N., Jiang, P., Cheng, L., Ding, B., Liu, X. M., et al. (2019). Elevated thyroglobulin level is associated with dysfunction of regulatory T cells in patients with thyroid nodules. Endocr. Connect. 8, 309–317. doi: 10.1530/ec-18-0545

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, L., Li, T., Yin, X. L., Zou, Y. (2020). An analysis of the correlation between thyroid nodules and metabolic syndrome. Endocr. Connect. 9, 933–938. doi: 10.1530/ec-20-0398

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y., Li, Z., Yang, K., Zhang, L., Wei, C., Yang, P., et al. (2022). The association of uric acid with the development of thyroid nodules: a retrospective cohort study. BMC Endocr. Disord. 22, 197. doi: 10.1186/s12902-022-01119-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, Y., Huang, L., Zhou, L. (2022). Association between obesity and Helicobacter pylori infection. Nutr. Clin. Metab. 36, 210–216. doi: 10.1016/j.nupar.2022.07.003

CrossRef Full Text | Google Scholar

Khoder, G., Muhammad, J. S., Mahmoud, I., Soliman, S. S. M., Burucoa, C. (2019). Prevalence of Helicobacter pylori and its associated factors among healthy asymptomatic residents in the united Arab Emirates. Pathogens 8, 44. doi: 10.3390/pathogens8020044

PubMed Abstract | CrossRef Full Text | Google Scholar

Krátký, J., Ježková, J., Kosák, M., Vítková, H., Bartáková, J., Mráz, M., et al. (2018). Positive antithyroid antibodies and nonsuppressed TSH are associated with thyroid cancer: A retrospective cross-sectional study. Int. J. Endocrinol. 2018, 9793850. doi: 10.1155/2018/9793850

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Jin, C., Li, J., Tong, M., Wang, M., Huang, J., et al. (2021). Prevalence of thyroid nodules in China: A health examination cohort-based study. Front. Endocrinol. (Lausanne). 12. doi: 10.3389/fendo.2021.676144

CrossRef Full Text | Google Scholar

Li, A., Li, T., Gao, X., Yan, H., Chen, J., Huang, M., et al. (2021). Gut microbiome alterations in patients with thyroid nodules. Front. Cell. Infect. 11. doi: 10.3389/fcimb.2021.64396

CrossRef Full Text | Google Scholar

Murphy, C., Gupta, A. (2020). MON-458 elevated thyroglobulin level in benign thyroid nodule. J. Endocr. Soc. (Supplement 1), MON–458. doi: 10.1210/jendso/bvaa046.1436

CrossRef Full Text | Google Scholar

Rhee, C. M., Kalim, S. (2018). “Chapter 27 - thyroid status in chronic renal failure patients,” in Textbook of nephro-endocrinology, 2nd ed. Eds. Singh, A. K., Williams, G. H. (Academic Press), 477–492.

Google Scholar

Sharma, S., Batsis, J. A., Coutinho, T., Somers, V. K., Hodge, D. O., Carter, R. E., et al. (2016). “Normal-weight central obesity and mortality risk in older adults with coronary artery disease,” in Mayo Clinic proceedings (Elsevier), 343–351.

Google Scholar

Shen, Z., Qin, Y.e., Liu, Y., Lu, Y., Munker, S., Chen, L., et al. (2013). Helicobacter pylori infection is associated with the presence of thyroid nodules in the euthyroid population. PloS One 8, e80042. doi: 10.1371/journal.pone.0080042

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, B., Zuo, Z., Tan, J., Guo, J., Teng, W., Lu, Y., et al. (2018). Association of thyroid nodules with adiposity: A community-based cross-sectional study in China. BMC Endocr. Disord. 18, 3. doi: 10.1186/s12902-018-0232-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Tessler, F. N., Middleton, W. D., Grant, E. G., Hoang, J. K., Berland, L. L., Teefey, S. A., et al. (2017). ACR thyroid imaging, reporting and data system (TI-RADS): white paper of the ACR TI-RADS committee. JACR 14, 587–595. doi: 10.1016/j.jacr.2017.01.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X. S., Xu, X. H., Jiang, G., Ling, Y. H., Ye, T. T., Zhao, Y. W., et al. (2021). Lack of association between Helicobacter pylori infection and the risk of thyroid nodule types: a multicenter case-control study in China. Front. Cell. Infect. 1245. doi: 10.3389/fcimb.2021.766427

CrossRef Full Text | Google Scholar

Yasar, H. Y., Ertuğrul, O., Ertuğrul, B., Ertuğrul, D., Sahin, M. (2011). Insulin resistance in nodular thyroid disease. Endocr. Res. 36, 167–174. doi: 10.3109/07435800.2011.593011

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Zhang, F., Zhao, C., Xu, Q., Liang, C., Yang, Y., et al. (2019). Dysbiosis of the gut microbiome is associated with thyroid cancer and thyroid nodules and correlated with clinical index of thyroid function. Endocrine 64, 564–574. doi: 10.1007/s12020-018-1831-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Helicobacter pylori, thyroid nodules, risk factor, adult, Northwest China

Citation: Di J, Ge Z, Xie Q, Kong D, Liu S, Wang P, Li J, Ning N, Qu W, Guo R, Chang D, Zhang J and Zheng X-h (2023) Helicobacter pylori infection increases the risk of thyroid nodules in adults of Northwest China. Front. Cell. Infect. Microbiol. 13:1134520. doi: 10.3389/fcimb.2023.1134520

Received: 30 December 2022; Accepted: 13 March 2023;
Published: 31 March 2023.

Edited by:

Biao Ren, Sichuan University, China

Reviewed by:

Li Li, State Key Laboratory of Freshwater Ecology and Biotechnology (CAS), China
Giovanni Mario Pes, University of Sassari, Italy

Copyright © 2023 Di, Ge, Xie, Kong, Liu, Wang, Li, Ning, Qu, Guo, Chang, Zhang and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiang-hong Zheng, 2275630208@qq.com

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