Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study

Introduction Helicobacter pylori is a type of Gram-negative microaerobic bacteria that inhabits the gastric mucosal epithelium. It can cause various gastrointestinal diseases including gastritis, peptic ulcer and gastric cancer. White blood cells (WBC) are common immune cells, the increase in whose...

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Main Authors: Yang Yang, Xue Wu, Qiang Wang, Yahong Wang, Haiying Wang, Yanli Zhu, Rui Jiao, Xiaojuan Ma, Xiaoqing Guo, Shaofei Zhang
Format: Article
Language:English
Published: BMJ Publishing Group 2024-11-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/11/e080980.full
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author Yang Yang
Xue Wu
Qiang Wang
Yahong Wang
Haiying Wang
Yanli Zhu
Rui Jiao
Xiaojuan Ma
Xiaoqing Guo
Shaofei Zhang
author_facet Yang Yang
Xue Wu
Qiang Wang
Yahong Wang
Haiying Wang
Yanli Zhu
Rui Jiao
Xiaojuan Ma
Xiaoqing Guo
Shaofei Zhang
author_sort Yang Yang
collection DOAJ
description Introduction Helicobacter pylori is a type of Gram-negative microaerobic bacteria that inhabits the gastric mucosal epithelium. It can cause various gastrointestinal diseases including gastritis, peptic ulcer and gastric cancer. White blood cells (WBC) are common immune cells, the increase in whose countoften indicates the presence of an infection. Currently, the relationship between H. pylori and WBC count remains full of controversy. This study aims to further elucidate the effects of H. pylori on WBC count in a population undergoing physical examination.Methods and analysis A total of 864 participants who underwent physical examination and 14C urea breath test (UBT) were retrospectively enrolled in this study from January to June 2021. The overall population was divided into H. pylori-negative (Hp−) and H. pylori-positive (Hp+) groups based on the disintegration per minute (DPM) value detected by UBT. Spearman’s correlation analysis was used to assess the correlation between DPM and WBC count. General linear regression models were applied to assess the potential factors contributing to the increase in WBC count. Generalised additive model (GAM) was performed to identify the non-linear relationship between DPM and WBC count. Additionally, a piecewise linear regression was used to examine the threshold effect of the DPM on WBC count.Results 403 subjects were diagnosed with H. pylori infection. The WBC and platelet (PLT) counts in the Hp+ group were significantly higher than those in the Hp− group. Additionally, the prevalence of H. pylori infection gradually increased with the WBC count quartiles (38.89% and 54.67% in quartile 1 and quartile 4, respectively). Spearman’s correlation analysis showed that the DPM value significantly correlated with WBC count (r=0.089, p=0.009) and PLT count (r=0.082, p=0.017). The linear model revealed a positive independent association of H. pylori infection and DPM with WBC count (βHp+=0.398 (95% CI 0.170, 0.625), p<0.001; βDPM=0.002 (95% CI 0.000, 0.0030), p=0.018). The results of the GAM and the piecewise linear regression suggested that the cut-off points of the association between DPM and WBC count were 40 and 155 of DPM, that is, the effect of DPM on WBC count varied with the difference of DPM <40, 40–155, and >155 (βDPM=−0.005 (95% CI −0.017, 0.007), p=0.423; βDPM=0.006 (95% CI 0.002, 0.013), p=0.047; and βDPM=−0.007 (95% CI −0.012, –0.002), p=0.004, respectively).Conclusions H. pylori infection was independently and positively correlated with WBC count; however, the effect of DPM on WBC count varied across different WBC count intervals, suggesting distinct immunological responses at different stages of infection.
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spelling doaj-art-c15f8e6870f04119bf9458d9ec2cf71a2025-08-20T02:12:54ZengBMJ Publishing GroupBMJ Open2044-60552024-11-01141110.1136/bmjopen-2023-080980Association of Helicobacter pylori infection and white blood cell count: a cross-sectional studyYang Yang0Xue Wu1Qiang Wang2Yahong Wang3Haiying Wang4Yanli Zhu5Rui Jiao6Xiaojuan Ma7Xiaoqing Guo8Shaofei Zhang9Department of Rehabilitation, Shanghai Jiao Tong University School of Medicine Affiliated Ninth Peoples Hospital, Shanghai, China1 Malaria Elimination Initiative, Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA2 Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education. Faculty of Life Sciences and Medicine, Northwest University, 229 Taibai North Road, Xi`an, ChinaAff1 grid.476494.cLycera Corp. Ann Arbor MI USA2 Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education. Faculty of Life Sciences and Medicine, Northwest University, 229 Taibai North Road, Xi`an, ChinaKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China1 Department of Gastroenterology, Shenmu Hospital, The Affiliated Hospital of Northwest University. Faculty of Life Sciences and Medicine, Northwest University, Guangming Road, Shenmu, China3 Medical Research Center, The Affiliated Hospital of Northwest University, Xi`an No.3 Hospital, Xi`an, 710016, China1 Department of Gastroenterology, Shenmu Hospital, The Affiliated Hospital of Northwest University. Faculty of Life Sciences and Medicine, Northwest University, Guangming Road, Shenmu, China1 Department of Gastroenterology, Shenmu Hospital, The Affiliated Hospital of Northwest University. Faculty of Life Sciences and Medicine, Northwest University, Guangming Road, Shenmu, ChinaIntroduction Helicobacter pylori is a type of Gram-negative microaerobic bacteria that inhabits the gastric mucosal epithelium. It can cause various gastrointestinal diseases including gastritis, peptic ulcer and gastric cancer. White blood cells (WBC) are common immune cells, the increase in whose countoften indicates the presence of an infection. Currently, the relationship between H. pylori and WBC count remains full of controversy. This study aims to further elucidate the effects of H. pylori on WBC count in a population undergoing physical examination.Methods and analysis A total of 864 participants who underwent physical examination and 14C urea breath test (UBT) were retrospectively enrolled in this study from January to June 2021. The overall population was divided into H. pylori-negative (Hp−) and H. pylori-positive (Hp+) groups based on the disintegration per minute (DPM) value detected by UBT. Spearman’s correlation analysis was used to assess the correlation between DPM and WBC count. General linear regression models were applied to assess the potential factors contributing to the increase in WBC count. Generalised additive model (GAM) was performed to identify the non-linear relationship between DPM and WBC count. Additionally, a piecewise linear regression was used to examine the threshold effect of the DPM on WBC count.Results 403 subjects were diagnosed with H. pylori infection. The WBC and platelet (PLT) counts in the Hp+ group were significantly higher than those in the Hp− group. Additionally, the prevalence of H. pylori infection gradually increased with the WBC count quartiles (38.89% and 54.67% in quartile 1 and quartile 4, respectively). Spearman’s correlation analysis showed that the DPM value significantly correlated with WBC count (r=0.089, p=0.009) and PLT count (r=0.082, p=0.017). The linear model revealed a positive independent association of H. pylori infection and DPM with WBC count (βHp+=0.398 (95% CI 0.170, 0.625), p<0.001; βDPM=0.002 (95% CI 0.000, 0.0030), p=0.018). The results of the GAM and the piecewise linear regression suggested that the cut-off points of the association between DPM and WBC count were 40 and 155 of DPM, that is, the effect of DPM on WBC count varied with the difference of DPM <40, 40–155, and >155 (βDPM=−0.005 (95% CI −0.017, 0.007), p=0.423; βDPM=0.006 (95% CI 0.002, 0.013), p=0.047; and βDPM=−0.007 (95% CI −0.012, –0.002), p=0.004, respectively).Conclusions H. pylori infection was independently and positively correlated with WBC count; however, the effect of DPM on WBC count varied across different WBC count intervals, suggesting distinct immunological responses at different stages of infection.https://bmjopen.bmj.com/content/14/11/e080980.full
spellingShingle Yang Yang
Xue Wu
Qiang Wang
Yahong Wang
Haiying Wang
Yanli Zhu
Rui Jiao
Xiaojuan Ma
Xiaoqing Guo
Shaofei Zhang
Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study
BMJ Open
title Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study
title_full Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study
title_fullStr Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study
title_full_unstemmed Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study
title_short Association of Helicobacter pylori infection and white blood cell count: a cross-sectional study
title_sort association of helicobacter pylori infection and white blood cell count a cross sectional study
url https://bmjopen.bmj.com/content/14/11/e080980.full
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