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Rontogianni MO, Gill D, Bouras E, Asimakopoulos AG, Tzoulaki I, Karhunen V, Lehtimäki T, Raitakari O, Wielscher M, Salomaa V, Jalkanen S, Salmi M, Timonen M, Yarmolinsky J, Chen J, Tobin MD, Izquierdo AG, Herzig KH, Ioannides AE, Jarvelin MR, Dehghan A, Tsilidis KK. Association of inflammatory cytokines with lung function, chronic lung diseases, and COVID-19. iScience 2024; 27:110704. [PMID: 39319267 PMCID: PMC11417323 DOI: 10.1016/j.isci.2024.110704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 06/14/2024] [Accepted: 08/06/2024] [Indexed: 09/26/2024] Open
Abstract
We investigated the effects of 35 inflammatory cytokines on respiratory outcomes, including COVID-19, asthma (atopic and non-atopic), chronic obstructive pulmonary disease (COPD), and pulmonary function indices, using Mendelian randomization and colocalization analyses. The emerging associations were further explored using observational analyses in the UK Biobank. We found an inverse association between genetically predicted macrophage colony stimulating factor (MCSF), soluble intercellular adhesion molecule-1 (sICAM), and soluble vascular cell adhesion molecule-1 with risk of COVID-19 outcomes. sICAM was positively associated with atopic asthma risk, whereas tumor necrosis factor-alfa showed an inverse association. A positive association was shown between interleukin-18 and COPD risk (replicated in observational analysis), whereas an inverse association was shown for interleukin-1 receptor antagonist (IL-1ra). IL-1ra and monocyte chemotactic protein-3 were positively associated with lung function indices, whereas inverse associations were shown for MCSF and interleukin-18 (replicated in observational analysis). Our results point to these cytokines as potential pharmacological targets for respiratory traits.
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Affiliation(s)
- Marina O. Rontogianni
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | | | - Ioanna Tzoulaki
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories, Tampere, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sirpa Jalkanen
- MediCity Research Laboratory, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFLAMES Fiagship, University of Turku, Turku, Finland
| | - Marko Salmi
- MediCity Research Laboratory, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
- InFLAMES Fiagship, University of Turku, Turku, Finland
| | - Markku Timonen
- Research Unit of Population Health, University of Oulu, Oulu, Finland
- Medical Research Center (MRC) and University Hospital, Oulu, Finland
| | - James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jing Chen
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Martin D. Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Karl-Heinz Herzig
- Medical Research Center (MRC) and University Hospital, Oulu, Finland
- Research Unit of Biomedicine and Internal Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Pediatric Gastroenterology and Metabolic Diseases, Pediatric Institute, Poznan University of Medical Sciences, Poznan, Poland
| | - Anne E. Ioannides
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, White City Campus, London, UK
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Dementia Research Institute at Imperial College London, London, UK
| | - Konstantinos K. Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Li XY, Xiang AY, Liu XY, Wang KH, Wang Y, Pan HT, Zhang JY, Yao L, Liu ZQ, Xu JQ, Li XQ, Zhang ZC, Chen WF, Zhou PH, Li QL. Association of circulating cytokine levels and tissue-infiltrating myeloid cells with achalasia: results from Mendelian randomization and validation through clinical characteristics and single-cell RNA sequencing. J Gastroenterol 2024:10.1007/s00535-024-02155-2. [PMID: 39377966 DOI: 10.1007/s00535-024-02155-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 09/27/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Achalasia is a rare motility disorder of the esophagus often accompanied by immune dysregulation, yet specific underlying mechanisms remain poorly understood. METHODS We utilized Mendelian randomization (MR) to explore the causal effects of cytokine levels on achalasia, with cis-expression/protein quantitative trait loci (cis-eQTLs/pQTLs) for 47 cytokines selected from a genome-wide association study (GWAS) meta-analysis and GWAS data for achalasia obtained from FinnGen. For cytokines significantly linked to achalasia, we analyzed their plasma concentrations and expression differences in the lower esophageal sphincter (LES) using enzyme-linked immunosorbent assay and single-cell RNA sequencing (scRNA-seq) profiling, respectively. We further employed bioinformatics approaches to investigate underlying mechanisms. RESULTS We revealed positive associations of circulating Eotaxin, macrophage inflammatory protein-1b (MIP1b), soluble E-selectin (SeSelectin) and TNF-related apoptosis-inducing ligand (TRAIL) with achalasia. When combining MR findings with scRNA-seq data, we observed upregulation of TRAIL (OR = 2.70, 95% CI, 1.20-6.07), encoded by TNFSF10, in monocytes and downregulation of interleukin-1 receptor antagonist (IL-1ra) (OR = 0.70, 95% CI 0.59-0.84), encoded by IL1RN, in FOS_macrophages in achalasia. TNFSF10high monocytes in achalasia displayed activated type I interferon signaling, and IL1RNlow FOS_macrophages exhibited increased intercellular communications with various lymphocytes, together shaping the proinflammatory microenvironment of achalasia. CONCLUSIONS We identified circulating Eotaxin, MIP1b, SeSelectin and TRAIL as potential drug targets for achalasia. TNFSF10high monocytes and IL1RNlow macrophages may play a role in the pathogenesis of achalasia.
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Affiliation(s)
- Xin-Yue Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - An-Yi Xiang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Xin-Yang Liu
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Ke-Hao Wang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Yun Wang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Hai-Ting Pan
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Ji-Yuan Zhang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Lu Yao
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Zu-Qiang Liu
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Jia-Qi Xu
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Xiao-Qing Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Zhao-Chao Zhang
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Wei-Feng Chen
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China
| | - Ping-Hong Zhou
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China.
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China.
| | - Quan-Lin Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, 180 FengLin Road, Shanghai, China.
- Shanghai Collaborative Innovation Center of Endoscopy, Shanghai, China.
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Li X, Li H, Hong T, Li Z, Wang Z. Assessing the causal relationship between obesity and hypothyroidism using Mendelian randomization. J Investig Med 2024; 72:763-775. [PMID: 38785311 DOI: 10.1177/10815589241257214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
To explore the causal relationship between obesity and hypothyroidism and identify risk factors and the predictive value of subclinical hypothyroidism (SCH) in obese patients using Mendelian randomization, this study employed five Mendelian randomization methods (MR Egger, Weighted Median, Inverse Variance Weighted, Simple Mode, and Weighted Mode) to analyze clinical data from 308 obese patients at the People's Hospital of Xinjiang Uygur Autonomous Region, from January 2015 to June 2023. Patients were divided based on thyroid function tests into normal (n = 173) and SCH groups (n = 56). Comparative analyses, along with univariate and multivariate logistic regression, were conducted to identify risk factors for SCH in obese patients. A significant association between obesity and hypothyroidism was established, especially highlighted by the inverse variance weighted method. SCH patients showed higher ages, thyroid-stimulating hormone levels, and thyroid autoantibody positivity rates, with lower T4 and FT4 levels. Age, FT4, thyroid autoantibodies, TPO-Ab, and Tg-Ab were confirmed as risk factors. The predictive value of FT4 levels for SCH in obesity was significant, with an Area Under the Curve (AUC) of 0.632. The study supports a potential causal link between obesity and hypothyroidism, identifying specific risk factors for SCH in obese patients. FT4 level stands out as an independent predictive factor, suggesting its utility in early diagnosis and preventive strategies for SCH.
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Affiliation(s)
- Xin Li
- Department of Minimally Invasive, Hernia and Abdominal Surgery, People's Hospital of Xinjiang Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Huilin Li
- Department of Minimally Invasive, Hernia and Abdominal Surgery, People's Hospital of Xinjiang Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Tao Hong
- Graduate School, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Zanlin Li
- Department of Minimally Invasive, Hernia and Abdominal Surgery, People's Hospital of Xinjiang Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Zhi Wang
- Department of Comprehensive Surgery, People's Hospital of Xinjiang Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China
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Yin Y, Zhang X. Exploring the correlation among genetic variants, cholecystectomy and gut microbiome: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e39852. [PMID: 39331944 PMCID: PMC11441970 DOI: 10.1097/md.0000000000039852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 09/04/2024] [Indexed: 09/29/2024] Open
Abstract
This Mendelian randomization (MR) study aims to explore the relationship between gut microbiota and the occurrence of cholelithiasis, as well as the impact of cholecystectomy on the gut microbiota. This study leverages data on exposures and outcomes from the GWAS database, employing the inverse variance weighting (IVW) method to obtain primary causal estimates. Heterogeneity is assessed using Cochran Q and Rücker Q tests through both IVW and MR-Egger methods. Pleiotropy is evaluated using the Egger-intercept method, while sensitivity analyses are conducted via leave-one-out tests. Additionally, the F-statistic is calculated to assess the presence of weak instrument bias. Finally, the MR-PRESSO method is utilized to validate the findings concerning the relationship between gut microbiota and the incidence of cholelithiasis, as well as the impact of cholecystectomy on gut microbiota composition. The genera Butyricicoccus (ID: 2055), Solibacillus (ID: 11348), Anaerotruncus (ID: 2054), Allisonella (ID: 2174), and Howardella (ID: 2000) have been found to decrease the genetically predicted probability of cholelithiasis. Reverse MR analysis indicates that the occurrence of cholelithiasis reduces the levels of gut microbiota such as Blautia (ID: 1992), Anaerofilum (ID: 2053), Howardella (ID: 2000), Butyricicoccus (ID: 2055), Solibacillus (ID: 11348), Allisonella (ID: 2174), Anaerotruncus (ID: 2054), and Firmicutes (ID: 1672). Additionally, the genera Odoribacter (ID: 952), and Holdemanella (ID: 2157) increase the genetically predicted risk of cholecystectomy. Reverse MR results show that post-cholecystectomy reduces the levels of gut microbiota such as Blautia (ID: 1992), Butyricicoccus (ID: 2055), Alistipes (ID: 11296), Oxalobacteraceae (ID: 2966), and Ruminococcaceae UCG010 (ID: 11367). Conversely, post-cholecystectomy increases the levels of gut microbiota such as Odoribacter (ID: 952), an unknown family (ID: 1000001214), an unknown genus (ID: 1000001215), Aeromonadales (ID: 1591), Holdemanella (ID: 2157), Phascolarctobacteria (ID: 1589), and Eggerthella (ID: 819). All study results show no horizontal pleiotropy, and the MR-PRESSO validation results are consistent with the MR analysis findings. This study elucidates the relationship between gut microbiota and the occurrence of cholelithiasis, as well as the impact of cholecystectomy on the gut microbiota. These findings have clinical significance for diagnosing disease onset and understanding digestive function changes following gallbladder removal, providing theoretical support for further investigation into the molecular mechanisms underlying cholelithiasis.
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Affiliation(s)
- Yulai Yin
- Cangzhou Central Hospital, Hebei Medical University, Cangzhou, China
| | - Xiaoyu Zhang
- Department of Thyroid and Breast Surgery III, Cangzhou Central Hospital, Cangzhou, China
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5
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Chen J, Su B, Zhang X, Gao C, Ji Y, Xue X. Mendelian randomization suggests causal correlations between inflammatory cytokines and immune cells with mastitis. Front Immunol 2024; 15:1409545. [PMID: 39399489 PMCID: PMC11466835 DOI: 10.3389/fimmu.2024.1409545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 09/09/2024] [Indexed: 10/15/2024] Open
Abstract
Objectives Previous studies have reported that immunoinflammatory responses have associations with mastitis. Here, we aimed to further figure out whether circulating inflammatory cytokines and immune cells causally impact mastitis liability. Methods The two-sample Mendelian randomization made use of genetic variances of 91 inflammatory cytokines from a large publicly available genome-wide association study (GWAS) containing 14,824 participants, 731 immunophenotypes data from 3,757 individuals as exposures separately, and mastitis from a GWAS summary (1880 cases and 211699 controls of European ancestry) as outcome. The primary analysis applied the inverse-variance weighted (IVW) method to estimate causal influences, with MR-Egger, weighted median, weighted mode and simple mode as supplementary approaches. Heterogeneity and pleiotropy were evaluated by the Cochrane Q test, MR-Egger intercept test, and MR-PRESSO global test. Results The results indicated that CX3CL1 may be suggestively relevant to the risk of mastitis (odds ratio, OR = 1.434, 95% CI = 1.142~1.800, p = 0.002). Moreover, three immunophenotypes were identified as having a potential causal link to mastitis (p < 0.05). Significantly, CD28- CD8dim %CD8dim (OR = 1.058, 95% CI = 1.024 ~ 1.093, p = 0.0006) and CD45 on CD33br HLA DR+ (OR = 1.097, 95% CI = 1.039 ~ 1.157, p = 0.0008) were found to induce mastitis possibly. Conversely, CD39+ secreting Treg AC (OR = 0.929, 95% CI = 0.884~ 0.978, p = 0.005) pertained to protective factors of mastitis. Cochran's Q test and MR-Egger intercept test indicated no significant heterogeneity (p > 0.05) or pleiotropy (p > 0.05), supporting the robustness and reliability of our findings. Conclusion Our study adds to current knowledge on the causal roles of inflammatory cytokines and immune cells on mastitis by genetic means, thus guiding future clinical research.
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Affiliation(s)
- Jiaying Chen
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Breast Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ben Su
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xinyue Zhang
- Department of Breast Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chao Gao
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Breast Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yajie Ji
- Department of Breast Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaohong Xue
- Department of Breast Surgery, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Zhang B, Yao Z, Li P, Niu G, Yan Z, She K, Cheng G, Yang M. Causal Relationships of Circulating Inflammatory Proteins and Portal Vein Thrombosis: A Mendelian Randomization Study. Semin Thromb Hemost 2024. [PMID: 39293485 DOI: 10.1055/s-0044-1790259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2024]
Abstract
Portal vein thrombosis (PVT) is commonly encountered in patients with cirrhosis, challenging our understanding of its development, particularly the ambiguous contribution of inflammation. This study utilized Mendelian randomization (MR) to explore the causal impact of circulating inflammatory markers on PVT.Employing a two-sample MR framework, we merged genome-wide association study (GWAS) meta-analysis findings of 91 inflammation-associated proteins with independent PVT data from the FinnGen consortium's R10 release. A replication analysis was performed using a distinct GWAS dataset from the UK Biobank. Inverse variance weighting, MR-Egger regression, weighted median estimator, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier were used for analysis, supplemented by multivariable MR (MVMR) to adjust for cirrhosis effects.Findings indicate a significant inverse association between the genetically inferred concentration of eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1) and PVT risk, evidenced by an odds ratio (OR) of 0.37 (95% confidence interval [CI]: 0.21-0.67; p = 9.2 × 10-4; adjusted for multiple testing p = 0.084). This association was corroborated in the replication phase (OR = 0.39, 95% CI: 0.17-0.93; p = 0.03) and through MVMR analysis (OR = 0.34, 95% CI: 0.15-0.79; p = 0.012). Sensitivity analyses disclosed no evidence of heterogeneity or pleiotropy.Our investigation emphasizes the 4E-BP1 as a protective factor against PVT, underscoring its potential relevance in understanding PVT pathogenesis and its implications for diagnosis and therapy.
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Affiliation(s)
- Bihui Zhang
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Ziping Yao
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Pengyu Li
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Guochen Niu
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Ziguang Yan
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Kang She
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Gong Cheng
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
| | - Min Yang
- Department of Interventional Radiology and Vascular Surgery, Peking University First Hospital, Beijing, China
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7
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Li W, Wang J. The current state of inflammation-related research in prostate cancer: a bibliometric analysis and systematic review. Front Oncol 2024; 14:1432857. [PMID: 39355131 PMCID: PMC11442693 DOI: 10.3389/fonc.2024.1432857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 09/02/2024] [Indexed: 10/03/2024] Open
Abstract
Background Prostate cancer (PCa) is the second most prevalent malignancy among men globally. The diagnosis, treatment, and prognosis of prostate cancer frequently fall short of expectations. In recent years, the connection between inflammation and prostate cancer has attracted considerable attention. However, there is a lack of bibliometric studies analyzing the research on inflammation within the domain of prostate cancer. Research methods We utilized the Web of Science Core Collection (WOSCC) as our data source to extract articles and reviews related to inflammation in prostate cancer, published up until April 12, 2024. The collected data underwent meticulous manual screening, followed by bibliometric analysis and visualization using the Biblioshiny package in R. Results This study encompasses an analysis of 2,786 papers focusing on inflammation-related research within the realm of prostate cancer. Recent years have seen a significant proliferation of publications in this area, with the United States and China being the foremost contributors. The most prolific author in this domain is Demarzoam, with Johns Hopkins University standing out as the most influential institution. The leading journal in disseminating these studies is PROSTATE. Keyword co-occurrence analysis reveals that 'inflammation-related biomarkers', 'inflammation index', and 'tumor immune microenvironment' represent the current research hotspots and frontiers. Conclusion The findings of this bibliometric study serve to illuminate the current landscape of inflammation-related research in the field of prostate cancer, while further augmenting the discourse on inflammation-mediated cancer therapeutics. Of particular note is the potential of these discoveries to facilitate a more nuanced understanding among researchers regarding the interplay between inflammation and prostate cancer.
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Affiliation(s)
- Weida Li
- Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jian Wang
- Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
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8
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Zheng HT, Lou MWC, Dugué PA, Lynch BM. Circulating inflammatory markers and risk of endometrial cancer: A systematic review and meta-analysis. Cancer Epidemiol 2024; 93:102662. [PMID: 39243578 DOI: 10.1016/j.canep.2024.102662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 08/28/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024]
Abstract
Evidence suggests that inflammation may be associated with a higher risk of endometrial cancer, but previous reviews have typically examined a limited number of biomarkers. This study aimed to critically appraise the evidence on the effect of 13 circulating inflammatory biomarkers on endometrial cancer risk. MEDLINE and EMBASE databases were searched for prospective cohort, (nested) case-control and case-cohort studies, and Mendelian randomization (MR) studies published up to 31 March 2023. We performed a random-effects meta-analysis to estimate the pooled risk ratio and 95 % confidence interval (CI) for the association between each biomarker and endometrial cancer risk. Heterogeneity between studies was assessed using the I2 statistic. Eight studies were included in the meta-analysis. Comparing groups with the highest versus lowest concentration of biomarker, adiponectin levels were inversely associated with risk of endometrial cancer (risk ratio (RR) =0.75, 95 % CI: 0.57-0.99, I2: 9 %). Higher levels of CRP (RR=1.18, 95 % CI: 1.05-1.33, I2: 2 %) and TNF-α (RR=1.58, 95 % CI: 1.13-2.21, I2: 0 %) were positively associated with risk of endometrial cancer. There was suggestive evidence for a positive association was also found for IL-6 (RR=1.29, 95 % CI: 0.88-1.88, I2: 0 %) and leptin (RR=1.50, 95 % CI: 0.83-2.71, I2: 0 %). Our findings suggest that circulating inflammatory biomarkers are likely involved in the carcinogenesis of endometrial cancer. Future studies should consider prospective or MR design and measure a wider range of inflammatory markers.
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Affiliation(s)
- Haoxin Tina Zheng
- Cancer Epidemiology Division, Cancer Council Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Makayla W C Lou
- Cancer Epidemiology Division, Cancer Council Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Pierre-Antoine Dugué
- Cancer Epidemiology Division, Cancer Council Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
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Chen S, Zhou H, Liu S, Meng L. Causal relationship between varicose veins and mean corpuscular hemoglobin concentration based on Mendelian randomization study. Thromb J 2024; 22:79. [PMID: 39227935 PMCID: PMC11370081 DOI: 10.1186/s12959-024-00647-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 08/21/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND Increased hemoglobin concentrations may increase the risk of varicose veins. However, the underlying relationship between them was not yet understood. METHODS Mendelian randomization (MR) analysis was performed to investigate causal effect between mean corpuscular hemoglobin concentration (MCHC, exposure factor) and varicose veins (outcome). Afterward, sensitivity analysis was used to ensure the reliability of MR analysis results. Then Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of SNPs were performed. A search tool for recurring instances of neighbouring genes (STRING) database was used to construct a protein-protein interaction (PPI) network. RESULTS Therefore, the inverse-variance weighted (IVW) results showed there existed a causal relationship between MCHC and varicose veins (p = 0.0026), with MCHC serving as a significant risk factor. (odd ratio [OR] = 1.2321). In addition, the validity of the results of the forward MR analysis was verified by sensitivity analysis. Further, a PPI network of 92 single-nucleotide polymorphisms (SNPs) which used for forward MR analysis related genes was constructed. And they were found to be closely associated with the peroxisome proliferator-activated receptor (PPAR) signalling pathway and cellular response to external stimulus by enrichment analysis. In addition, we clarified that the effect of varicose veins on MCHC was minimal by reverse MR analysis, suggesting that the results of forward MR analysis were not disturbed by reverse results. CONCLUSION This study found a causal relationship between varicose veins and MCHC, which provided strong evidence for the effect of hemoglobin on varicose veins, and a new thought for the diagnosis and prevention of varicose veins in the future.
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Affiliation(s)
- Shiwei Chen
- The Third People's Hospital of Hangzhou, Zhejiang Province, 310009, China.
| | - Huandong Zhou
- The Third People's Hospital of Hangzhou, Zhejiang Province, 310009, China
| | - Shicheng Liu
- The Third People's Hospital of Hangzhou, Zhejiang Province, 310009, China
| | - Luyang Meng
- The Third People's Hospital of Hangzhou, Zhejiang Province, 310009, China
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Liang R, Li T, Gao H, Shi W, Li M, Wan T, Zhou X. Causal relationships between inflammatory cytokines and myopia: an analysis of genetic and observational studies. Ann Med Surg (Lond) 2024; 86:5179-5190. [PMID: 39239046 PMCID: PMC11374278 DOI: 10.1097/ms9.0000000000002325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 06/17/2024] [Indexed: 09/07/2024] Open
Abstract
Objective This study aims to explore the causal relationship between inflammatory markers and myopia through the use of bidirectional Mendelian randomization (MR) and myopia animal models. Methods The authors utilized data from a comprehensive and publicly accessible genome-wide association study (GWAS) for our analysis, which includes 460 536 European ancestry control subjects and 37 362 myopia patients. Utilizing a two-sample Mendelian randomization analysis framework, 27 inflammatory markers were investigated as exposure variables with myopia serving as the outcome variable. Nine MR analysis techniques were employed, with inverse-variance weighting (IVW) as the principal MR analysis method. Heterogeneity was assessed using Cochrane's Q test. The identification of single-nucleotide polymorphisms (SNPs) and outliers linked to myopia was achieved via MR-PRESSO. The expression of interleukin-2 (IL-2) in the vitreous of guinea pigs subjected to experimentally induced form-deprivation myopia (FDM) was examined. Results Elevated concentrations of IL-2 and IL-2ra were found to be associated [IVW estimate odds ratio (OR): 1.003, 95% CI: 1.001-1.005, P=0.001] and strongly associated (IVW estimate OR: 1.002, 95% CI: 1.000-1.003, P=0.049) with an increased risk of myopia, respectively. Conversely, lower levels of C-reactive protein (CRP) (IVW estimate OR: 0.996, 95% CI: 0.994-0.999, P=0.002) and tumour necrosis factor alpha (IVW estimate OR: 0.995, 95% CI: 0.994-0.996, P<0.001) were robustly linked to a heightened risk of myopia. IL-2 expression was notably upregulated in the vitreous of guinea pigs with experimentally induced FDM. Conclusions Elevated levels of inflammatory factors, especially IL-2 and IL-2ra, have a potential causal relationship with myopia susceptibility, providing new insights into the pathogenesis of myopia.
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Affiliation(s)
- Rongbin Liang
- Department of Ophthalmology, Jinshan Hospital of Fudan University, Shanghai, China
| | - Tao Li
- Department of Ophthalmology, Jinshan Hospital of Fudan University, Shanghai, China
| | - Hui Gao
- Department of Anatomy & Embryology, Maastricht University, Maastricht, The Netherlands
| | - Wenqing Shi
- Department of Ophthalmology, Jinshan Hospital of Fudan University, Shanghai, China
| | - Meilin Li
- Department of Ophthalmology, Jinshan Hospital of Fudan University, Shanghai, China
| | - Ting Wan
- Department of Ophthalmology, Jinshan Hospital of Fudan University, Shanghai, China
| | - Xiaodong Zhou
- Department of Ophthalmology, Jinshan Hospital of Fudan University, Shanghai, China
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Liu Z, Zheng Y, Yuan M, Zhang G, Yang G. Association of CTACK, IL-2, and IL-13 with increased risk of lung cancer: A Mendelian randomization study. Cytokine 2024; 181:156680. [PMID: 38885591 DOI: 10.1016/j.cyto.2024.156680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/03/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND In recent years, relevant studies have reported that inflammatory cytokines are related to the occurrence of cancer. However, the correlation with lung cancer is not clear. This study used the Mendelian random grouping method to investigate the correlation between inflammatory factors and lung cancer in different populations. METHODS We obtained the single nucleotide polymorphisms (SNPs) of inflammatory cytokines through the open database and the SNPs of lung cancer (European and East Asian) through the IEU OpenGWAS project. Inverse variance-weighted (IVW) MR analyses were used to determine the causalities of exposures and outcomes. Supplementary analyses were also performed using weighted median and MR-Egger regressions. Afterward, sensitivity analyses were performed to test the robustness. Search the ChEMBL database for target drugs and indications for CTACK, IL-2, and IL-13. RESULTS By IVW method, we found that CTACK, IL-2, and IL-13 were associated with an increased risk of lung cancer in the European population (CTACK, OR = 1.098, 95 % CI 1.001-1.204, P = 0.047; IL-2, OR = 1.112, 95 % CI 1.009-1.225, P = 0.032; IL-13, OR = 1.068, 95 % CI 1.007-1.132, P = 0.029), while only IL-13 was associated with an increased risk of lung cancer in the East Asian population (IL-13, OR = 1.110, 95 % CI 1.010-1.220, P = 0.030). The weighted median and MR-Egger regression methods were in the same direction as the IVW effect sizes. Furthermore, no evidence of multidirectionality was detected using the MR-Egger intercept as a sensitivity analysis. Currently, there are no approved or phase III studied indications for CTACK, IL-2, and IL-13 targets in lung cancer. CONCLUSION The study outcomes supported that the inflammatory cytokines CTACK, IL-2, and IL-13 increase the risk of lung cancer. There is a lack of indications for drugs in these three targets. We explored the causal relationship between inflammatory cytokines and lung cancer, providing a basis for future cancer prediction models and targets for anti-tumor therapy.
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Affiliation(s)
- Zishen Liu
- Department of Oncology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Yingying Zheng
- Department of Oncology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Mengqi Yuan
- Department of Oncology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Ganlin Zhang
- Department of Oncology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
| | - Guowang Yang
- Department of Oncology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
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Zhang Z, Wang J, Teng M, Yan X, Liu Q. The role of serum interleukins in Cancer: A Multi-center Mendelian Randomization study. Int Immunopharmacol 2024; 137:112520. [PMID: 38901247 DOI: 10.1016/j.intimp.2024.112520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/02/2024] [Accepted: 06/16/2024] [Indexed: 06/22/2024]
Abstract
The occurrence of cancer is often accompanied by immune evasion and tumor-promoting inflammation, with interleukins (IL) playing a pivotal role in the immune-inflammatory mechanism. However, the precise contribution of serum interleukins in cancer remains elusive. We obtained GWAS summary data for 35 interleukins from eight independent large-scale serum proteome studies of European ancestry populations and for 23 common cancers from the FinnGen Consortium. We then conducted a multicenter Mendelian Randomization (MR) study to explore the relationship between systemic inflammatory status and cancers. 24 causal associations between interleukins and cancers were supported by multicenter data, 18 of which were reported for the first time. Our results indicated that IL-1α (Hodgkin lymphoma), IL-5 (bladder cancer), IL-7 (prostate cancer), IL-11 (bone malignant tumor), IL-16 (lung cancer), IL-17A (pancreatic cancer), IL-20 (bladder cancer), IL-22 (lymphocytic leukemia), IL-34 (breast cancer), IL-36β (prostate cancer), and IL-36γ (liver cancer) were risk factors for related cancers. Conversely, IL-9 (malignant neoplasms of the corpus uteri), IL-17C (liver cancer), and IL-31 (colorectal cancer, bladder cancer, pancreatic cancer, and cutaneous melanoma) exhibited protective effects against related cancers. Notably, the dual effects of serum interleukins were also observed. IL-18 acted as a risk factor for prostate cancer, however, was a protective factor against laryngeal cancer. Similarly, IL-19 promoted the development of lung cancer and myeloid leukemia, while conferring protection against Breast, cervical, and thyroid cancers. Our study confirmed the genetic association between multiple serum interleukins and cancers. Immune and anti-inflammatory strategies targeting these associations provide opportunities for prevention and treatment.
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Affiliation(s)
- Zheng Zhang
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Jiachen Wang
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Menghao Teng
- Department of Orthopedics, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Xinyang Yan
- Department of Neurosurgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Qingguang Liu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China.
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Lin H, Cao B. Integration of QTL and comprehensive analysis in the circulating inflammatory cytokines for pan-cancer. BMC Cancer 2024; 24:1007. [PMID: 39138392 PMCID: PMC11323443 DOI: 10.1186/s12885-024-12726-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 07/29/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Chemokines and cytokines are components of the tumor microenvironment and also influence tumorigenesis and its composition. However, whether they genetically proxy tumorigenesis is unclear. For causal inferences, eQTL and pQTL were used to determine the role of chemokines and cytokines in pan-cancer. The impact on the tumor immune microenvironment was also explored. METHODS This study leveraged summary statistics from respective genome-wide association studies (GWAS) of 109 cytokines and chemokines in 18 types of solid tumors. Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines and chemokines, located in or close to their coding gene (cis), were used as instrumental variables. A two-sample MR design was employed, followed by comprehensive sensitivity analyses to validate the robustness of results. The impact on immune infiltration was investigated using the TIMER and TISIDB websites. Survival analysis was conducted using the K-M plotter and TIMER 2.0 websites. The TISCH and GEO databases were used to carry out scRNA cell analysis.Analyzing relevant proteins using the STRING database and conducting enrichment pathways for GO analysis of the identified proteins. RESULTS The results of the inverse-variance weighted (IVW) method using cis-protein QTL (cis-pQTL) instruments showed the causal effects of TNF in reducing the risk of squamous cell lung cancer (LUSC) and HGF in reducing the risk of head and neck cancer (HNSC).The results were consistent with the eQTL. HGF was associated with better overall survival (OS) in HNSC, regardless of the types of cells enriched. However, high expression of the ligand MET for HGF leads to a decrease in overall survival in LUSC. TNF was related to poor OS in LUSC with no significant impact. However, in CD8 + T cell-enriched, eosinophil-enriched, macrophage-enriched, and NK cell-deficient types of LUSC, high expression of TNF leads to a poor prognosis, and there is statistical significance. The results showed a significant positive correlation between TNF and most immune cell infiltration, immunomodulator and chemokine in LUSC. HGF is positively correlated with the majority of immune cells except CD56 + cells, as well as some immune regulatory factors and chemotactic factors. According to single-cell sequencing results, HGF is mainly secreted by fibroblasts and myofibroblasts in HNSC, while in LUSC, it is primarily secreted by macrophages and CD8 + T cells secrete TNF. The GO/KEGG analysis suggests that proteins related to HGF are mainly involved in regulating peptidyl-tyrosine phosphorylation and positive regulation of the MAPK cascade. Proteins related to TNF are primarily associated with the regulation of I-kappaB kinase/NF-kappaB signaling and cytokine-mediated signaling pathway. CONCLUSIONS HGF is primarily secreted by fibroblasts in HNSC and may have a protective effect on the occurrence and prognosis of HNSC. These effects are independent of immune cell influence, and this role may not necessarily be mediated through the HGF/MET pathway. On the other hand, TNF in LUSC is mainly secreted by immune cells like CD8 + T cell, and it may have a protective effect on the occurrence of LUSC. However, it's impact on the prognosis of LUSC through the immune microenvironment may have a different effect.
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Affiliation(s)
- Haishan Lin
- Cancer Centre, Capital Medical University affiliated Beijing Friendship Hospital, Beijing, 100050, China
| | - Bangwei Cao
- Cancer Centre, Capital Medical University affiliated Beijing Friendship Hospital, Beijing, 100050, China.
- Cancer Centre, Capital Medical University affiliated Beijing Friendship Hospital, 95 Yong An Road, Xicheng, Beijing, 100050, P.R. China.
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Jia L, Zhao H, Liu J. Meta-analysis of postoperative incision infection risk factors in colorectal cancer surgery. Front Surg 2024; 11:1415357. [PMID: 39193402 PMCID: PMC11347452 DOI: 10.3389/fsurg.2024.1415357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 07/09/2024] [Indexed: 08/29/2024] Open
Abstract
Objective To evaluate the risk factors for postoperative incision infection in colorectal cancer, this meta-analysis aimed to identify key variables impacting infection incidence following colorectal cancer surgery. Methods Utilizing a meta-analytical approach, studies published from January 2015 to December 2022 were systematically collected and analyzed through the assessment of factors like body mass index, diabetes, albumin levels, malnutrition, and surgical duration. Results The meta-analysis of eleven high-quality studies revealed that elevated BMI, diabetes, low albumin levels, malnutrition, and extended surgical duration were associated with increased infection risk, while laparoscopic procedures showed potential for risk reduction. Conclusions This study underscores the significance of preoperative risk assessment and management in mitigating postoperative incision infections in colorectal cancer patients. The findings present actionable insights for clinicians to enhance patient prognoses and overall quality of life.
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Affiliation(s)
- Li Jia
- Department of Infection Control, People's Hospital of Dayi County, Chengdu, Sichuan Province, China
| | - Huacai Zhao
- Department of Urology, People's Hospital of Dayi County, Chengdu, Sichuan Province, China
| | - Jia Liu
- Department of Infection Control, Chengdu Fifth People’s Hospital, Chengdu, Sichuan Province, China
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Jiang WX, Li HH. Circulating inflammatory cytokines and the risk of sepsis: a bidirectional mendelian randomization analysis. BMC Infect Dis 2024; 24:793. [PMID: 39112975 PMCID: PMC11304706 DOI: 10.1186/s12879-024-09689-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 07/30/2024] [Indexed: 08/11/2024] Open
Abstract
BACKGROUND Sepsis is a life-threatening condition that is characterized by multiorgan dysfunction and caused by dysregulated cytokine networks, which are closely associated with sepsis progression and outcomes. However, currently available treatment strategies that target cytokines have failed. Thus, this study aimed to investigate the interplay between genetically predicted circulating concentrations of cytokines and the outcomes of sepsis and to identify potential targets for sepsis treatment. METHODS Data related to 35 circulating cytokines in 31,112 individuals (including 11,643 patients with sepsis) were included in genome-wide association studies (GWASs) from the UK Biobank and FinnGen consortia. A bidirectional two-sample Mendelian randomization (MR) analysis was performed using single nucleotide polymorphisms (SNPs) to evaluate the causal effects of circulating cytokines on sepsis outcomes and other cytokines. RESULTS A total of 35 inflammatory cytokine genes were identified in the GWASs, and 11 cytokines, including Interleukin-1 receptor antagonist (IL-1ra), macrophage inflammatory protein 1 (MIP1α), IL-16, et al., were associated with sepsis outcome pairs according to the selection criteria of the cis-pQTL instrument. Multiple MR methods verified that genetically predicted high circulating levels of IL-1ra or MIP1α were negatively correlated with genetic susceptibility to risk of sepsis, including sepsis (28-day mortality), septicaemia, streptococcal and pneumonia-derived septicaemia (P ≤ 0.01). Furthermore, genetic susceptibility of sepsis outcomes except sepsis (28-day mortality) markedly associated with the circulating levels of five cytokines, including active plasminogen activator inhibitor (PAI), interleukin 7 (IL-7), tumour necrosis factor alpha (TNF-α), beta nerve growth factor (NGF-β), hepatic growth factor (HGF) (P < 0.05). Finally, we observed that the causal interaction network between MIP1α or IL-1ra and other cytokines (P < 0.05). CONCLUSIONS This comprehensive MR analysis provides insights into the potential causal mechanisms that link key cytokines, particularly MIP1α, with risk of sepsis, and the findings suggest that targeting MIP1α may be a potential strategy for preventing sepsis.
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Affiliation(s)
- Wen-Xi Jiang
- Department of Emergency Medicine, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
| | - Hui-Hua Li
- Department of Emergency Medicine, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
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Lin Y, Zhang Y, Wang S, Cao L, Zhao R, Ma X, Yang Q, Zhang L, Yang Q. Pharmacological targets of SGLT2 inhibition on prostate cancer mediated by circulating metabolites: a drug-target Mendelian randomization study. Front Pharmacol 2024; 15:1443045. [PMID: 39166104 PMCID: PMC11333260 DOI: 10.3389/fphar.2024.1443045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 07/19/2024] [Indexed: 08/22/2024] Open
Abstract
Background The relationship between sodium-glucose cotransporter 2 (SGLT2) inhibitors and prostate cancer is still unknown. Although these inhibitors can influence tumor glycolysis, the underlying mechanism requires further exploration. Methods A two-sample two-step MR was used to determine 1) causal effects of SGLT2 inhibition on prostate cancer; 2) causal effects of 1,400 circulating metabolites or metabolite ratios on prostate cancer; and 3) mediation effects of these circulating metabolites. Genetic proxies for SGLT2 inhibition were identified as variants in the SLC5A2 gene and glycated hemoglobin level (HbA1c). Additionally, positive control analysis on type 2 diabetes mellitus (T2DM) was conducted to test the selection of genetic proxies. Phenome Wide Association Study (PheWAS) and MR-PheWAS analysis were used to explore potential treatable diseases and adverse outcomes of SGLT2 inhibitors. Results Genetically predicted SGLT2 inhibition (per 1 SD decrement in HbA1c) was associated with reduced risk of T2DM [odds ratio (OR) = 0.66 (95% CI 0.53, 0.82), P = 1.57 × 10-4]; prostate cancer [0.34 (0.23, 0.49), P = 2.21 × 10-8] and prostate-specific antigen [0.26 (0.08, 0.81), P = 2.07 × 10-2]. The effect of SGLT2 inhibition on prostate cancer was mediated by uridine level, with a mediated proportion of 9.34% of the total effect. In MR-PheWAS, 65 traits were found to be associated with SLGT2 inhibitors (P < 1.78 × 10-5), and among them, 13 were related to diabetes. Conclusion Our study suggested that SGLT2 inhibition could lower prostate cancer risk through uridine mediation. More mechanistic and clinical research is necessary to explore how uridine mediates the link between SGLT2 inhibition and prostate cancer.
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Affiliation(s)
- Yilong Lin
- Department of Breast Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Yue Zhang
- Department of Hematology, Xiangya Hospital, Xiangya School of Medicine, Central South University, Changsha, China
| | - Songsong Wang
- School of Medicine, Xiamen University, Xiamen, China
| | - Lin Cao
- The First Clinical College of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Ruidan Zhao
- Department of Breast Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xilai Ma
- School of Medicine, Xiamen University, Xiamen, China
| | - Qiaolu Yang
- Department of Breast Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Liyi Zhang
- Department of Breast Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qingmo Yang
- Department of Breast Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
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Chen X, Zhang M, Zhou N, Zhou W, Qi H. Associations between genetically predicted concentrations of circulating inflammatory cytokines and the risk of ten pregnancy-related adverse outcomes: A two-sample Mendelian randomization study. Cytokine 2024; 180:156661. [PMID: 38795606 DOI: 10.1016/j.cyto.2024.156661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/07/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Evidence from increasing observational studies indicates that systemic inflammation plays a role in pregnancy-related adverse events. However, the causal associations between them are largely unclear. To investigate the potential causal effects of genetically regulated concentrations of inflammatory cytokines on the risk of adverse pregnancy outcomes, we performed a Mendelian randomization (MR) analysis. METHODS The cis-protein quantitative trait loci for the 47 inflammatory cytokines derived from the latest genome-wide association studies (GWASs) consisting of 31,112 European individuals were used as the instrumental variables. The latest GWAS summary data for the ten adverse pregnancy events were obtained from the FinnGen project (samples ranging from 141,014 to 190,879). The inverse-variance weighted regression or Ward ratio was used as the primary MR analysis method. Sensitivity analyses based on the other five methods were performed to verify MR results. A replication MR analysis was conducted to further clarify the significant associations using data from the UK Biobank. RESULTS Twenty-three of the 220 associations were nominally significant (P < 0.05). Among them, seven robust associations survived the Bonferroni correction and passed sensitivity analyses, including positive associations of soluble intercellular adhesion molecule (sICAM-1) with the risk of excessive vomiting in pregnancy, preeclampsia (PE), and pregnancy hypertension (PH), vascular endothelial growth factor with the risk of medical abortion, macrophage colony-stimulating factor (MCSF) with the risk of spontaneous abortion (SA), and an inverse association of macrophage inflammatory protein-1α with the risk of medical abortion. The associations of MCSF with SA, and sICAM-1 with both PE and PH were further confirmed in the replication analysis. CONCLUSIONS This study provides further evidence of the role of systemic inflammation, especially endothelial dysfunction in the pathology of adverse pregnancy events, and the identified cytokines warrant in-depth research to explore their underlying mechanisms of action and to evaluate their potential as targets for disease screening, prevention, and treatment in the future.
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Affiliation(s)
- Xinzhen Chen
- Clinical Research Centre and Chongqing Research Centre for Prevention & Control of Maternal and Child Diseases and Public Health, Women and Children's Hospital of Chongqing Medical University, Chongqing 401147, China.
| | - Min Zhang
- Clinical Research Centre and Chongqing Research Centre for Prevention & Control of Maternal and Child Diseases and Public Health, Women and Children's Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Niya Zhou
- Clinical Research Centre and Chongqing Research Centre for Prevention & Control of Maternal and Child Diseases and Public Health, Women and Children's Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Wei Zhou
- Department of Obstetrics and Gynaecology, Women and Children's Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Hongbo Qi
- Department of Obstetrics and Gynaecology, Women and Children's Hospital of Chongqing Medical University, Chongqing 401147, China.
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李 和, 李 高, 张 学, 王 亚. [Genetic drivers for inflammatory protein markers in colorectal cancer: a Mendelian randomization approach to clinical prognosis study]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2024; 44:1361-1369. [PMID: 39051082 PMCID: PMC11270664 DOI: 10.12122/j.issn.1673-4254.2024.07.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE To explore the causal relationship between inflammatory protein markers and the risk of colorectal cancer using a Mendelian randomization (MR) approach. METHODS We obtained data pertaining to colorectal cancer from Genome-Wide Association Study (GWAS) datasets and used 91 inflammatory protein markers as the exposure variables. A two-sample MR analysis model was used to assess the causal link between the inflammatory markers and colorectal cancer risk. The robustness of the results was evaluated through heterogeneity, pleiotropy, and sensitivity analyses using 5 MR models: Inverse Variance Weighted (IVW), Weighted Median, MR Egger, Simple Mode, and Weighted Mode. We examined the mRNA expressions of PD-L1, AXIN1, and β-NGF using RT-qPCR in 86 untreated patients with colorectal adenocarcinoma admitted in Nanfang Hospital between December, 2021 and December 2023, and analyzed their correlation with the clinical characteristics of the patients. RESULTS Using the IVW model, MR analysis revealed significant causal associations between a reduced risk of colorectal cancer and lowered expressions of AXIN1 (OR=0.866, 95% CI: 0.754-0.994, P=0.040), β-NGF (OR=0.914, 95% CI: 0.843-0.990, P=0.028; OR=0.884, 95% CI: 0.784-0.998, P=0.047 using Weighted Median model), and PD-L1 (OR=0.903, 95% CI: 0.824- 0.989, P=0.028). No significant heterogeneity or pleiotropy was observed, indicating good stability of the results. Sensitivity analysis confirmed the reliability of the findings. The clinical study demonstrated a significant correlation between PD-L1 expression and TNM staging, particularly in stage Ⅳ patients (P=0.007). AXIN1 and β -NGF expression levels were significantly correlated with the degree of tumor differentiation, and their expressions were higher in poorly differentiated samples (P<0.001). CONCLUSION Lowered expressions of inflammatory protein markers AXIN1, β-NGF, and PD-L1 are causally correlated with a reduced risk of colorectal cancer and their expression levels are associated with TNM staging and tumor differentiation. These markers may thus serve as potential targets for colorectal cancer treatment and prevention.
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Wang J, Chen Z, Lai Y, Ma Z, Wang L, Fiori PL, Carru C, Capobianco G, Zhou L. Insights into inflammation and implications for the pathogenesis and long-term outcomes of endometrial cancer: genome-wide surveys and a clinical cohort study. BMC Cancer 2024; 24:846. [PMID: 39020272 PMCID: PMC11253470 DOI: 10.1186/s12885-024-12630-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Despite evidence showing a connection between inflammation and endometrial cancer (EC) risk, the surveys on genetic correlation and cohort studies investigating the impact on long-term outcomes have yet to be refined. We aimed to address the impact of inflammation factors on the pathogenesis, progression and consequences of EC. METHODS For the genetic correlation analyses, a two-sample of Mendelian randomization (MR) study was applied to investigate inflammation-related single-nucleotide polymorphisms involved with endometrial cancer from GWAS databases. The observational retrospective study included consecutive patients diagnosed with EC (stage I to IV) with surgeries between January 2010 and October 2020 at the Cancer Hospital of Shantou University Medical College. RESULTS The 2-sample MR surveys indicated no causal relationship between inflammatory cytokines and endometrial cancer. 780 cases (median age, 55.0 years ) diagnosed with EC were included in the cohort and followed up for an average of 6.8 years. Increased inflammatory parameters at baseline were associated with a higher FIGO stage and invasive EC risk (odds ratios [OR] 1.01 to 4.20). Multivariate-cox regression suggested that multiple inflammatory indicators were significantly associated with overall survival (OS) and progression-free survival (PFS) (P < 0.05). Nomogram models based on inflammatory risk and clinical factors were developed for OS and PFS with C-index of 0.811 and 0.789, respectively. LASSO regression for the validation supported the predictive efficacy of inflammatory and clinical factors on the long-term outcomes of EC. CONCLUSIONS Despite the fact that the genetic surveys did not show a detrimental impact of inflammatory cytokines on the endometrial cancer risk, our cohort study suggested that inflammatory level was associated with the progression and long-term outcomes of EC. This evidence may contribute to new strategies targeted at decreasing inflammation levels during EC therapy.
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Affiliation(s)
- Jing Wang
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Obstetrics and Gynecology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhichao Chen
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yaozhen Lai
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Zebiao Ma
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Luanhong Wang
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Pier Luigi Fiori
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Giampiero Capobianco
- Gynecologic and Obstetric Clinic, Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy
| | - Li Zhou
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
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Hu X, Xie S, Yi X, Ouyang Y, Zhao W, Yang Z, Zhang Z, Wang L, Huang X, Peng M, Yu F. Bidirectional Mendelian Randomization of Causal Relationship between Inflammatory Cytokines and Different Pathological Types of Lung Cancer. J Cancer 2024; 15:4969-4984. [PMID: 39132165 PMCID: PMC11310887 DOI: 10.7150/jca.98301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 07/07/2024] [Indexed: 08/13/2024] Open
Abstract
Prior research has proposed a potential association between lung cancer and inflammatory cytokines, yet the specific causal relationship remains unclear, especially across various lung cancer pathologies. This study utilized bidirectional Mendelian randomization (MR) to explore these causal connections, unveiling novel insights. Our research revealed distinctive inflammatory cytokine profiles for each subtype of lung cancer and identified potential biomarkers that could refine diagnostic and therapeutic approaches. We applied two-sample Mendelian randomization, leveraging genetic variance data from three extensive genome-wide association studies (GWAS) focusing on different lung cancer types (lung adenocarcinoma: 1590 cases and 314,193 controls of healthy individuals of European descent; lung squamous cell carcinoma: 1510 cases and 314,193 controls of European ancestry; small cell lung cancer: 717 cases and 314,193 controls of European ancestry). A separate GWAS summary on inflammatory cytokines from 8,293 healthy participants was also included. The inverse variance weighting method was utilized to examine causal relationships, with robustness confirmed through multiple sensitivity analyses, including MR-Egger, weighted median, and MR-PRESSO. Our analysis revealed that elevated levels of IL_1RA were associated with an increased risk of lung adenocarcinoma (OR: 1.29, 95% CI: 1.02-1.64, p = 0.031), while higher MCP_1_MCAF levels correlated with a decreased risk of lung squamous cell carcinoma (OR: 0.77, 95% CI: 0.61-0.98, p = 0.031). Furthermore, IL_10, IL_13, and TRAIL levels were positively associated with lung squamous cell carcinoma risk (IL_10: OR: 1.27, 95% CI: 1.06-1.53, p = 0.012; IL_13: OR: 1.15, 95% CI: 1.06-1.53, p = 0.036; TRAIL: OR: 1.15, 95% CI: 1.06-1.53, p = 0.043). No association was found between inflammatory cytokine levels and small cell lung cancer development, whereas SDF_1A and B-NGF were linked to an increased risk of this cancer type (SDF_1A: OR: 1.13, 95% CI: 1.05-1.21, p = 0.001; B-NGF: OR: 1.13, 95% CI: 1.01-1.27, p = 0.029). No significant relationship was observed between the 41 circulating inflammatory cytokines and lung adenocarcinoma or squamous cell carcinoma development. Our findings indicate distinct associations between specific inflammatory cytokines and different types of lung cancer. Elevated IL_1RA levels are a risk marker for lung adenocarcinoma, whereas higher MCP_1_MCAF levels appear protective against lung squamous cell carcinoma. Conversely, elevated levels of IL_10, IL_13, and TRAIL are linked with an increased risk of lung squamous cell carcinoma. The relationships of SDF_1A and B-NGF with small-cell lung cancer highlight the complexity of inflammatory markers in cancer development. This study provides a nuanced understanding of the role of inflammatory cytokines in lung cancer, underscoring their potential in refining diagnosis and treatment strategies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Muyun Peng
- Department of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410000, China
| | - Fenglei Yu
- Department of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410000, China
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Montalbano AM, Di Sano C, Albano GD, Gjomarkaj M, Ricciardolo FLM, Profita M. IL-17A Drives Oxidative Stress and Cell Growth in A549 Lung Epithelial Cells: Potential Protective Action of Oleuropein. Nutrients 2024; 16:2123. [PMID: 38999871 PMCID: PMC11243068 DOI: 10.3390/nu16132123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/29/2024] [Accepted: 07/01/2024] [Indexed: 07/14/2024] Open
Abstract
IL-17A drives inflammation and oxidative stress, affecting the progression of chronic lung diseases (asthma, chronic obstructive pulmonary disease (COPD), lung cancer, and cystic fibrosis). Oleuropein (OLP) is a polyphenolic compound present in olive oil and widely included in the Mediterranean diet. It exerts antioxidant and anti-inflammatory activities, oxidative stress resistance, and anticarcinogenic effects with a conceivable positive impact on human health. We hypothesized that OLP positively affects the mechanisms of oxidative stress, apoptosis, DNA damage, cell viability during proliferation, and cell growth in alveolar epithelial cells and tested its effect in a human alveolar epithelial cell line (A549) in the presence of IL-17A. Our results show that OLP decreases the levels of oxidative stress (Reactive Oxygen Species, Mitochondrial membrane potential) and DNA damage (H2AX phosphorylation-ser139, Olive Tail Moment data) and increases cell apoptosis in A549 cells exposed to IL-17A. Furthermore, OLP decreases the number of viable cells during proliferation, the migratory potential (Scratch test), and the single cell capacity to grow within colonies as a cancer phenotype in A549 cells exposed to IL-17A. In conclusion, we suggest that OLP might be useful to protect lung epithelial cells from oxidative stress, DNA damage, cell growth, and cell apoptosis. This effect might be exerted in lung diseases by the downregulation of IL-17A activities. Our results suggest a positive effect of the components of olive oil on human lung health.
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Affiliation(s)
- Angela Marina Montalbano
- Institute of Translational Pharmacology-National Research Council of Italy (IFT-CNR), 90146 Palermo, Italy
| | - Caterina Di Sano
- Institute of Translational Pharmacology-National Research Council of Italy (IFT-CNR), 90146 Palermo, Italy
| | - Giusy Daniela Albano
- Institute of Translational Pharmacology-National Research Council of Italy (IFT-CNR), 90146 Palermo, Italy
| | - Mark Gjomarkaj
- Institute of Translational Pharmacology-National Research Council of Italy (IFT-CNR), 90146 Palermo, Italy
| | - Fabio Luigi Massimo Ricciardolo
- Institute of Translational Pharmacology-National Research Council of Italy (IFT-CNR), 90146 Palermo, Italy
- Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy
| | - Mirella Profita
- Institute of Translational Pharmacology-National Research Council of Italy (IFT-CNR), 90146 Palermo, Italy
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22
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Huang K, Peng Z, Zha C, Li W, Deng G, Chen X, Luo Y, Ji Z, Wang Q, Jiang K. Inflammatory factors and the risk of urolithiasis: a bidirectional Mendelian randomization study. Front Med (Lausanne) 2024; 11:1432275. [PMID: 39021826 PMCID: PMC11251917 DOI: 10.3389/fmed.2024.1432275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 06/24/2024] [Indexed: 07/20/2024] Open
Abstract
Background Urolithiasis is a prevalent condition encountered in urology. Over the past decade, its global incidence has been on an upward trajectory; paired with a high recurrence rate, this presents considerable health and economic burdens. Although inflammatory factors are pivotal in the onset and progression of urolithiasis, their causal linkages remain elusive. Method Mendelian randomization (MR) is predicated upon genome-wide association studies (GWASs). It integrates bioinformatics analyses to reveal causal relationships between exposures and outcomes, rendering it an effective method with minimized bias. Drawing from a publicly accessible GWAS meta-analysis comprising 8,293 samples, we identified 41 genetic variations associated with inflammatory cytokines as instrumental variables. Outcome data on upper urinary tract stones, which included renal and ureteral stones (9,713 cases and 366,693 controls), and lower urinary tract stones, including bladder and urethral stones (1,398 cases and 366,693 controls), were derived from the FinnGen Consortium R9 dataset. By leveraging the bidirectional MR methodology, we aimed to decipher the causal interplay between inflammatory markers and urolithiasis. Results Our study comprehensively elucidated the association between genetic inflammatory markers and urolithiasis via bidirectional Mendelian randomization. Post-MR analysis of the 41 genetic inflammation markers revealed that elevated levels of circulating interleukin-2 (IL-2) (OR = 0.921, 95% CI = 0.848-0.999) suggest a reduced risk for renal stone disease, while heightened stem cell growth factor beta (SCGF-β) (OR = 1.150, 95% CI = 1.009-1.310) and diminished macrophage inflammatory protein 1 beta (MIP-1β) (OR = 0.863, 95% CI = 0.779-0.956) levels suggest an augmented risk for lower urinary tract stones. Furthermore, renal stone disease appeared to elevate IL-2 (β = 0.145, 95% CI = 0.013-0.276) and cutaneous T cell-attracting chemokine (CTACK) (β = 0.145, 95% CI = 0.013-0.276) levels in the bloodstream, whereas lower urinary tract stones were linked to a surge in interleukin-5 (IL-5) (β = 0.142, 95% CI = 0.057-0.226), interleukin-7 (IL-7) (β = 0.108, 95% CI = 0.024-0.192), interleukin-8 (IL-8) (β = 0.127, 95% CI = 0.044-0.210), growth regulated oncogene alpha (GRO-α) (β = 0.086, 95% CI = 0.004-0.169), monokine induced by interferon-gamma (MIG) (β = 0.099, 95% CI = 0.008-0.191) and macrophage inflammatory protein 1 alpha (MIP-1α) (β = 0.126, 95% CI = 0.044-0.208) levels. Conclusion These discoveries intimate the instrumental role of IL-2 in the onset and progression of upper urinary tract stones. SCGF-β and MIP-1β influence the development of lower urinary tract stones. Urolithiasis also impacts the expression of cytokines such as IL-2, CTACK, IL-5, IL-7, IL-8, GRO-α, MIG, and MIP-1α. There is a pressing need for further investigation to ascertain whether these biomarkers can be harnessed to prevent or treat urolithiasis.
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Affiliation(s)
| | - Zheng Peng
- Guizhou Medical University, Guiyang, China
| | - Cheng Zha
- Guizhou Medical University, Guiyang, China
| | - Wei Li
- Guizhou Medical University, Guiyang, China
| | | | - Xiaolong Chen
- Department of Urology, Guizhou Provincial People’s Hospital, Guiyang, China
| | - Yuting Luo
- Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | | | - Qing Wang
- Department of Urology, Guizhou Provincial People’s Hospital, Guiyang, China
| | - Kehua Jiang
- Guizhou Medical University, Guiyang, China
- Department of Urology, Guizhou Provincial People’s Hospital, Guiyang, China
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23
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Zhu Y, Jiang M, Gu Z, Shang H, Tang C, Guo T. Elucidating the role of liver enzymes as markers and regulators in ovarian cancer: a synergistic approach using Mendelian randomization, single-cell analysis, and clinical evidence. Hum Genomics 2024; 18:71. [PMID: 38915066 PMCID: PMC11197171 DOI: 10.1186/s40246-024-00642-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 06/20/2024] [Indexed: 06/26/2024] Open
Abstract
OBJECTIVE To investigate the association between liver enzymes and ovarian cancer (OC), and to validate their potential as biomarkers and their mechanisms in OC. Methods Genome-wide association studies for OC and levels of enzymes such as Alkaline phosphatase (ALP), Aspartate aminotransferase (AST), Alanine aminotransferase, and gamma-glutamyltransferase were analyzed. Univariate and multivariate Mendelian randomization (MR), complemented by the Steiger test, identified enzymes with a potential causal relationship to OC. Single-cell transcriptomics from the GSE130000 dataset pinpointed pivotal cellular clusters, enabling further examination of enzyme-encoding gene expression. Transcription factors (TFs) governing these genes were predicted to construct TF-mRNA networks. Additionally, liver enzyme levels were retrospectively analyzed in healthy individuals and OC patients, alongside the evaluation of correlations with cancer antigen 125 (CA125) and Human Epididymis Protein 4 (HE4). RESULTS A total of 283 single nucleotide polymorphisms (SNPs) and 209 SNPs related to ALP and AST, respectively. Using the inverse-variance weighted method, univariate MR (UVMR) analysis revealed that ALP (P = 0.050, OR = 0.938) and AST (P = 0.017, OR = 0.906) were inversely associated with OC risk, suggesting their roles as protective factors. Multivariate MR (MVMR) confirmed the causal effect of ALP (P = 0.005, OR = 0.938) on OC without reverse causality. Key cellular clusters including T cells, ovarian cells, endothelial cells, macrophages, cancer-associated fibroblasts (CAFs), and epithelial cells were identified, with epithelial cells showing high expression of genes encoding AST and ALP. Notably, TFs such as TCE4 were implicated in the regulation of GOT2 and ALPL genes. OC patient samples exhibited decreased ALP levels in both blood and tumor tissues, with a negative correlation between ALP and CA125 levels observed. CONCLUSION This study has established a causal link between AST and ALP with OC, identifying them as protective factors. The increased expression of the genes encoding these enzymes in epithelial cells provides a theoretical basis for developing novel disease markers and targeted therapies for OC.
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Affiliation(s)
- Yinxing Zhu
- Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine, Taizhou, 225300, China
- Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, China
| | - Min Jiang
- Department of Rehabilitation, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China
- Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, China
| | - Zihan Gu
- Nanjing University of Finance & Economics, Nanjing, 210023, China
- Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, China
| | - Hongyu Shang
- Taizhou Polytechnic College, Taizhou, 225300, China
- Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, China
| | - Caiyin Tang
- Department of Imaging, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China.
- Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, China.
| | - Ting Guo
- Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine, Taizhou, 225300, China.
- Institute of Clinical Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, China.
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Luo D, Gong Z, Zhan Q, Lin S. Causal association of circulating cytokines with the risk of lung cancer: a Mendelian randomization study. Front Oncol 2024; 14:1373380. [PMID: 38957317 PMCID: PMC11217496 DOI: 10.3389/fonc.2024.1373380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 06/03/2024] [Indexed: 07/04/2024] Open
Abstract
Background Lung cancer is the deadliest and most prevalent malignancy worldwide. While smoking is an established cause, evidence to identify other causal factors remains lacking. Current research indicates chronic inflammation is involved in tumorigenesis and cancer development, though the specific mechanisms underlying the role of inflammatory cytokines in lung cancer pathogenesis remain unclear. This study implemented Mendelian randomization (MR) analysis to investigate the causal effects of circulating cytokines on lung cancer development. Methods We performed a two-sample MR analysis in Europeans utilizing publicly available genome-wide association study summary statistics. Single nucleotide polymorphisms significantly associated with cytokine were selected as genetic instrumental variables. Results Genetically predicted levels of the chemokine interleukin-18 (IL-18) (OR = 0.942, 95% CI: 0.897-0.990, P = 0.018) exerted significant negative causal effects on overall lung cancer risk in this analysis. Examining specific histologic subtypes revealed further evidence of genetic associations. Stem cell factor (SCF) (OR = 1.150, 95% CI: 1.021-1.296, P = 0.021) and interleukin-1beta (IL-1β) (OR = 1.152, 95% CI: 1.003-1.325, P = 0.046) were positively associated with lung adenocarcinoma risk, though no inflammatory factors showed causal links to squamous cell lung cancer risk. Stratified by smoking status, interferon gamma-induced protein 10 (IP-10) (OR = 0.861, 95% CI: 0.781-0.950, P = 0.003) was inversely associated while IL-1β (OR = 1.190, 95% CI: 1.023-1.384, P = 0.024) was positively associated with lung cancer risk in ever smokers. Among never smokers, a positive association was observed between lung cancer risk and SCF (OR = 1.474, 95% CI: 1.105-1.964, P = 0.008). Importantly, these causal inferences remained robust across multiple complementary MR approaches, including MR-Egger, weighted median, weighted mode and simple mode regressions. Sensitivity analyses also excluded potential bias stemming from pleiotropy. Conclusion This MR study found preliminary evidence that genetically predicted levels of four inflammatory cytokines-SCF, IL-1β, IL-18, and IP-10-may causally influence lung cancer risk in an overall and subtype-specific manner, as well as stratified by smoking status. Identifying these cytokine pathways that may promote lung carcinogenesis represents potential new targets for the prevention, early detection, and treatment of this deadly malignancy.
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Affiliation(s)
- Dachen Luo
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Zonglian Gong
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Qingyuan Zhan
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Shan Lin
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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He H, Liang L, Tian T, Zhang X, Lyu J. Effect of smoking on prostate cancer: Results from the National Health and Nutrition Examination Survey 2003-2018 and Mendelian randomization analyses. Tob Induc Dis 2024; 22:TID-22-100. [PMID: 38835514 PMCID: PMC11149497 DOI: 10.18332/tid/189199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 06/06/2024] Open
Abstract
INTRODUCTION The controversial relationship between smoking and prostate cancer (PCa) risk prompted us to conduct a cross-sectional study using the National Health and Nutrition Examination Survey (NHANES) database and apply Mendelian randomization (MR) analyses in order to clarify the possible causal effect of smoking on PCa risk. METHODS Using univariate and multivariate logistic regression methods, a secondary analysis of the pooled 2003-2018 NHANES dataset was performed to explore the association between smoking and PCa risk. Propensity-score matching was used to reduce selection bias. Then, we conducted subsequent MR analysis study to investigate the potential causal effect of smoking on PCa risk, with genetic variants of four exposure factors including the lifetime smoking index, light smoking, smoking initiation, and the amount of smoking per day obtained from genome-wide association studies, and PCa summary statistics obtained from three database populations. Inverse-variance weighting was the primary analytical method, and weighted median and MR-Egger regression were used for sensitivity analyses. The MR results for the three PCa databases were combined using meta-analysis. RESULTS The study included 16073 NHANES subjects, comprising 554 with PCa and 15519 without PCa. Logistic regression before and after matching did not reveal any significant association. Meta-analysis of the MR results also did not support an association of PCa risk with lifetime smoking index (OR=0.95; 95% CI: 0.83-1.09), light smoking (OR=1.00; 95% CI: 0.95-1.06), smoking initiation (OR=0.99, 95% CI=0.99-1.00), or the amount of smoking per day (OR=1.00; 95% CI: 0.99-1.00) and PCa risk. CONCLUSIONS There was no evidence for an association between smoking and the risk of PCa. Further studies are needed to determine if there are any associations of other forms of smoking with the risk of PCa at different stages.
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Affiliation(s)
- Hairong He
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Liang Liang
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Tao Tian
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiaoyu Zhang
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jun Lyu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
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Zhang L, Li H, Wu Z, Han L, Zhang J. Associations between cytokines and the risk of female and male infertility: A two-sample Mendelian randomization analysis. J Reprod Immunol 2024; 163:104238. [PMID: 38479056 DOI: 10.1016/j.jri.2024.104238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/07/2024] [Indexed: 06/03/2024]
Abstract
PURPOSE Observational studies have linked cytokines to the occurrence of female and male infertility. However, it is not clear how biomarkers of inflammation are causally related to infertility. To explore whether genetic variants in circulating cytokines are associated with the pathogenesis of infertility, we performed two-sample Mendelian randomization (MR) analysis. METHODS A total of 31,112 individuals of European ancestry were included in a genome-wide association study (GWAS) of 47 circulating cytokines as instrumental variables (IVs). Outcome data were female infertility, including four different subtypes, and male infertility, from the FinnGen consortium. Five MR methods, including inverse-variance weighted (IVW), MR-Egger, simple mode, weighted median, and weighted mode were employed to examine the genetic association between cytokines and the risk of female infertility and male infertility. The false discovery rate (FDR) was controlled using the Benjamini-Hochberg method. RESULTS After FDR correction, cis-protein quantitative trait locus (cis-pQTL) instruments showed that the cytokines GROa and MCSF were positively associated with female infertility. In analyses of subtypes of female infertility, eotaxin and sICAM were inversely associated with ovulation-related infertility; MCP3 alone was positively associated with uterus-related infertility; GROa and MCSF were positively correlated with infertility of cervical, vaginal, and other or unspecified origin; and MIP1a was negatively correlated with tubal origin infertility. The cytokines HGF, IL-2ra, and RANTES were positively correlated with male infertility. Similar findings were obtained in sensitivity analyses. There was no evidence of pleiotropy or heterogeneity in the results. CONCLUSION These findings contribute to current understanding of the role of cytokine biomarkers in the etiology of female and male infertility. Furthermore clinical experimental validation is required to evaluate the potential of these cytokines as biomarkers.
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Affiliation(s)
- Lei Zhang
- The First Clinical College, Shandong University of Traditional Chinese medicine, Jinan, China
| | - Honglin Li
- The First Clinical College, Shandong University of Traditional Chinese medicine, Jinan, China
| | - Zhijuan Wu
- The First Clinical College, Shandong University of Traditional Chinese medicine, Jinan, China
| | - Letian Han
- Reproductive and Genetic Center of Integrated Traditional and Western Medicine, Hospital Affiliated to Shandong University of Traditional Chinese Medicine, Jinan, China; Shandong Qidu Pharmaceutical Co. Ltd., Shandong Provincial Key Laboratory of Neuroprotective Drugs, Zibo, China
| | - Jianwei Zhang
- The First Clinical College, Shandong University of Traditional Chinese medicine, Jinan, China; Reproductive and Genetic Center of Integrated Traditional and Western Medicine, Hospital Affiliated to Shandong University of Traditional Chinese Medicine, Jinan, China.
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Song N, Shi P, Cui K, Zeng L, Wang Z, Di W, Li J, Fan Y, Li Z, Zhang J, Su W, Wang H. Potential drug targets for tumors identified through Mendelian randomization analysis. Sci Rep 2024; 14:11370. [PMID: 38762700 PMCID: PMC11102463 DOI: 10.1038/s41598-024-62178-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024] Open
Abstract
According to the latest cancer research data, there are a significant number of new cancer cases and a substantial mortality rate each year. Although a substantial number of clinical patients are treated with existing cancer drugs each year, the efficacy is unsatisfactory. The incidence is still high and the effectiveness of most cancer drugs remains unsatisfactory. Therefore, we evaluated the human proteins for their causal relationship to for cancer risk and therefore also their potential as drug targets. We used summary tumors data from the FinnGen and cis protein quantitative trait loci (cis-pQTL) data from a genome-wide association study, and employed Mendelian randomization (MR) to explore the association between potential drug targets and nine tumors, including breast, colorectal, lung, liver, bladder, prostate, kidney, head and neck, pancreatic caners. Furthermore, we conducted MR analysis on external cohort. Moreover, Bidirectional MR, Steiger filtering, and colocalization were employed to validate the main results. The DrugBank database was used to discover potential drugs of tumors. Under the threshold of False discovery rate (FDR) < 0.05, results showed that S100A16 was protective protein and S100A14 was risk protein for human epidermal growth factor receptor 2-positive (HER-positive) breast cancer, phosphodiesterase 5A (PDE5A) was risk protein for colorectal cancer, and melanoma inhibitory activity (MIA) was protective protein for non-small cell lung carcinoma (NSCLC). And there was no reverse causal association between them. Colocalization analysis showed that S100A14 (PP.H4.abf = 0.920) and S100A16 (PP.H4.abf = 0.932) shared causal variation with HER-positive breast cancer, and PDE5A (PP.H4.abf = 0.857) shared causal variation with colorectal cancer (CRC). The MR results of all pQTL of PDE5A and MIA were consistent with main results. In addition, the MR results of MIA and external outcome cohort were consistent with main results. In this study, genetic predictions indicate that circulating S100 calcium binding protein A14 (S100A14) and S100 calcium binding protein A16 (S100A16) are associated with increase and decrease in the risk of HER-positive breast cancer, respectively. Circulating PDE5A is associated with increased risk of CRC, while circulating MIA is associated with decreased risk of NSCLC. These findings suggest that four proteins may serve as biomarkers for cancer prevention and as potential drug targets that could be expected for approval.
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Affiliation(s)
- Na Song
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Jiankang Road No.88, Xinxiang, 453100, China
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China
| | - Pingyu Shi
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China
| | - Kai Cui
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China
| | - Liqun Zeng
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China
| | - Ziwei Wang
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China
| | - Wenyu Di
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Jiankang Road No.88, Xinxiang, 453100, China
| | - Jinsong Li
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Jiankang Road No.88, Xinxiang, 453100, China
| | - Yanwu Fan
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China
| | - Zhanjun Li
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, 130062, China
| | - Jinghang Zhang
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Jiankang Road No.88, Xinxiang, 453100, China
| | - Wei Su
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Jiankang Road No.88, Xinxiang, 453100, China.
| | - Haijun Wang
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Jiankang Road No.88, Xinxiang, 453100, China.
- Department of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453000, China.
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Ming R, Wu H, Liu H, Zhan F, Qiu X, Ji M. Causal effects and metabolites mediators between immune cell and risk of breast cancer: a Mendelian randomization study. Front Genet 2024; 15:1380249. [PMID: 38826800 PMCID: PMC11140059 DOI: 10.3389/fgene.2024.1380249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/18/2024] [Indexed: 06/04/2024] Open
Abstract
Introduction: The incidence and mortality of female breast cancer remain high, and the immune microenvironment of breast cancer has undergone significant alterations. However, the impact of blood immune cell levels on the risk of breast cancer is not fully understood. Therefor this study aims to investigate the causal relationship between blood immune cell levels and the risk of breast cancer. Methods: A Mendelian randomization (MR) analysis was employed to assess the causal relationship between immune cells and the risk of breast cancer, as along with their potential mediating factors. Genetic statistics of metabolites breast cancer and immune cells were obtained from the GWAS Catalog, while the genome-wide association study (GWAS) statistics of breast cancer were extracted from the UK biobank. Two-sample MR analysis were performed using inverse-variance weighted (IVW) to ascertain the causal association between immune cells and the risk of breast cancer. Furthermore, 1,400 metabolites were analyzed for their mediating role between immune cells and the risk of breast cancer. Results: MR analysis through IVW method revealed that genetically predicted CD24+ CD27+ B cells were associated with a decreased risk of breast cancer (OR = 0.9978, 95% CI: 0.996-0.999, p = 0.001), while IgD- CD38+ B cells were linked to an increased risk of breast cancer (OR = 1.002, 95% CI: 1.001-1.004, p = 0.005). Additional CD14+ CD16+ monocytes were associated with an increased risk of breast cancer (OR = 1.000, 95% CI: 1.000-1.001, p = 0.005). Mediation analysis revealed a positive causal relationship between IgD- CD38+ B cells and Glycerate levels, with the latter also exhibiting a positive causal relationship with the risk of breast cancer (p < 0.05). Conversely, IgD- CD38+ B cells displayed a negative causal relationship with Succinoyltaurine levels, and the latter also demonstrated a negative causal relationship with the risk of breast cancer (p < 0.05). Conclusion: This MR study provides novel genetic evidence supporting a causal relationship between IgD- CD38+ B cells and the risk of BC. Moreover, it is identified that IgD- CD38+ B cells contribute to an increased risk of BC through both positive and negative mediation effects involving Glycerate and Succinoyltaurine.
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Affiliation(s)
- Ruijie Ming
- Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing, China
| | - Huan Wu
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hong Liu
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing, China
| | - Fangbiao Zhan
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing, China
| | - Xingan Qiu
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing, China
| | - Ming Ji
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing, China
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Zheng JM, Lou CX, Huang YL, Song WT, Luo YC, Mo GY, Tan LY, Chen SW, Li BJ. Associations between immune cell phenotypes and lung cancer subtypes: insights from mendelian randomization analysis. BMC Pulm Med 2024; 24:242. [PMID: 38755605 PMCID: PMC11100125 DOI: 10.1186/s12890-024-03059-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024] Open
Abstract
INTRODUCTION Lung cancer is a common malignant tumor, and different types of immune cells may have different effects on the occurrence and development of lung cancer subtypes, including lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD). However, the causal relationship between immune phenotype and lung cancer is still unclear. METHODS This study utilized a comprehensive dataset containing 731 immune phenotypes from the European Bioinformatics Institute (EBI) to evaluate the potential causal relationship between immune phenotypes and LUSC and LUAD using the inverse variance weighted (IVW) method in Mendelian randomization (MR). Sensitivity analyses, including MR-Egger intercept, Cochran Q test, and others, were conducted for the robustness of the results. The study results were further validated through meta-analysis using data from the Transdisciplinary Research Into Cancer of the Lung (TRICL) data. Additionally, confounding factors were excluded to ensure the robustness of the findings. RESULTS Among the final selection of 729 immune cell phenotypes, three immune phenotypes exhibited statistically significant effects with LUSC. CD28 expression on resting CD4 regulatory T cells (OR 1.0980, 95% CI: 1.0627-1.1344, p < 0.0001) and CD45RA + CD28- CD8 + T cell %T cell (OR 1.0011, 95% CI: 1.0007; 1.0015, p < 0.0001) were associated with increased susceptibility to LUSC. Conversely, CCR2 expression on monocytes (OR 0.9399, 95% CI: 0.9177-0.9625, p < 0.0001) was correlated with a decreased risk of LUSC. However, no significant causal relationships were established between any immune cell phenotypes and LUAD. CONCLUSION This study demonstrates that specific immune cell types are associated with the risk of LUSC but not with LUAD. While these findings are derived solely from European populations, they still provide clues for a deeper understanding of the immunological mechanisms underlying lung cancer and may offer new directions for future therapeutic strategies and preventive measures.
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Affiliation(s)
- Jin-Min Zheng
- Department of Surgery, Guangxi Medical University, Nanning, Guangxi, China
| | - Chen-Xi Lou
- Department of Surgery, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Yu-Liang Huang
- Department of Surgery, Guangxi Medical University, Nanning, Guangxi, China
| | - Wen-Tao Song
- Department of Surgery, Youjiang Medical University For Nationalities, Baise, Guangxi, China
| | - Yi-Chen Luo
- Department of thoracic surgery, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Guan-Yong Mo
- Department of thoracic surgery, Guilin Medical University, Guilin, Guangxi, China
| | - Lin-Yuan Tan
- Department of Surgery, Guangxi Medical University, Nanning, Guangxi, China
| | - Shang-Wei Chen
- Department of thoracic surgery, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
| | - Bai-Jun Li
- Department of thoracic surgery, Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, China.
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Su Z, Wan Q. Potential therapeutic targets for membranous nephropathy: proteome-wide Mendelian randomization and colocalization analysis. Front Immunol 2024; 15:1342912. [PMID: 38707900 PMCID: PMC11069303 DOI: 10.3389/fimmu.2024.1342912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/21/2024] [Indexed: 05/07/2024] Open
Abstract
Background The currently available medications for treating membranous nephropathy (MN) still have unsatisfactory efficacy in inhibiting disease recurrence, slowing down its progression, and even halting the development of end-stage renal disease. There is still a need to develop novel drugs targeting MN. Methods We utilized summary statistics of MN from the Kiryluk Lab and obtained plasma protein data from Zheng et al. We performed a Bidirectional Mendelian randomization analysis, HEIDI test, mediation analysis, Bayesian colocalization, phenotype scanning, drug bank analysis, and protein-protein interaction network. Results The Mendelian randomization analysis uncovered 8 distinct proteins associated with MN after multiple false discovery rate corrections. Proteins related to an increased risk of MN in plasma include ABO [(Histo-Blood Group Abo System Transferase) (WR OR = 1.12, 95%CI:1.05-1.19, FDR=0.09, PPH4 = 0.79)], VWF [(Von Willebrand Factor) (WR OR = 1.41, 95%CI:1.16-1.72, FDR=0.02, PPH4 = 0.81)] and CD209 [(Cd209 Antigen) (WR OR = 1.19, 95%CI:1.07-1.31, FDR=0.09, PPH4 = 0.78)], and proteins that have a protective effect on MN: HRG [(Histidine-Rich Glycoprotein) (WR OR = 0.84, 95%CI:0.76-0.93, FDR=0.02, PPH4 = 0.80)], CD27 [(Cd27 Antigen) (WR OR = 0.78, 95%CI:0.68-0.90, FDR=0.02, PPH4 = 0.80)], LRPPRC [(Leucine-Rich Ppr Motif-Containing Protein, Mitochondrial) (WR OR = 0.79, 95%CI:0.69-0.91, FDR=0.09, PPH4 = 0.80)], TIMP4 [(Metalloproteinase Inhibitor 4) (WR OR = 0.67, 95%CI:0.53-0.84, FDR=0.09, PPH4 = 0.79)] and MAP2K4 [(Dual Specificity Mitogen-Activated Protein Kinase Kinase 4) (WR OR = 0.82, 95%CI:0.72-0.92, FDR=0.09, PPH4 = 0.80)]. ABO, HRG, and TIMP4 successfully passed the HEIDI test. None of these proteins exhibited a reverse causal relationship. Bayesian colocalization analysis provided evidence that all of them share variants with MN. We identified type 1 diabetes, trunk fat, and asthma as having intermediate effects in these pathways. Conclusions Our comprehensive analysis indicates a causal effect of ABO, CD27, VWF, HRG, CD209, LRPPRC, MAP2K4, and TIMP4 at the genetically determined circulating levels on the risk of MN. These proteins can potentially be a promising therapeutic target for the treatment of MN.
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Affiliation(s)
| | - Qijun Wan
- Department of Nephrology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
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Guo W, Zhao L, Huang W, Chen J, Zhong T, Yan S, Hu W, Zeng F, Peng C, Yan H. Sodium-glucose cotransporter 2 inhibitors, inflammation, and heart failure: a two-sample Mendelian randomization study. Cardiovasc Diabetol 2024; 23:118. [PMID: 38566143 PMCID: PMC10986088 DOI: 10.1186/s12933-024-02210-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Sodium-glucose cotransporter 2 (SGLT-2) inhibitors are increasingly recognized for their role in reducing the risk and improving the prognosis of heart failure (HF). However, the precise mechanisms involved remain to be fully delineated. Evidence points to their potential anti-inflammatory pathway in mitigating the risk of HF. METHODS A two-sample, two-step Mendelian Randomization (MR) approach was employed to assess the correlation between SGLT-2 inhibition and HF, along with the mediating effects of inflammatory biomarkers in this relationship. MR is an analytical methodology that leverages single nucleotide polymorphisms as instrumental variables to infer potential causal inferences between exposures and outcomes within observational data frameworks. Genetic variants correlated with the expression of the SLC5A2 gene and glycated hemoglobin levels (HbA1c) were selected using datasets from the Genotype-Tissue Expression project and the eQTLGen consortium. The Genome-wide association study (GWAS) data for 92 inflammatory biomarkers were obtained from two datasets, which included 14,824 and 575,531 individuals of European ancestry, respectively. GWAS data for HF was derived from a meta-analysis that combined 26 cohorts, including 47,309 HF cases and 930,014 controls. Odds ratios (ORs) and 95% confidence interval (CI) for HF were calculated per 1 unit change of HbA1c. RESULTS Genetically predicted SGLT-2 inhibition was associated with a reduced risk of HF (OR 0.42 [95% CI 0.30-0.59], P < 0.0001). Of the 92 inflammatory biomarkers studied, two inflammatory biomarkers (C-X-C motif chemokine ligand 10 [CXCL10] and leukemia inhibitory factor) were associated with both SGLT-2 inhibition and HF. Multivariable MR analysis revealed that CXCL10 was the primary inflammatory cytokine related to HF (MIP = 0.861, MACE = 0.224, FDR-adjusted P = 0.0844). The effect of SGLT-2 inhibition on HF was mediated by CXCL10 by 17.85% of the total effect (95% CI [3.03%-32.68%], P = 0.0183). CONCLUSIONS This study provides genetic evidence supporting the anti-inflammatory effects of SGLT-2 inhibitors and their beneficial impact in reducing the risk of HF. CXCL10 emerged as a potential mediator, offering a novel intervention pathway for HF treatment.
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Affiliation(s)
- Wenqin Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Lingyue Zhao
- Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Weichao Huang
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Jing Chen
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Tingting Zhong
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Shaodi Yan
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Wei Hu
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Fanfang Zeng
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Changnong Peng
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Hongbing Yan
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.
- National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
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Kong Y, Liu S, Wang X, Qie R. Associations between gut microbiota and gynecological cancers: A bi-directional two-sample Mendelian randomization study. Medicine (Baltimore) 2024; 103:e37628. [PMID: 38552081 PMCID: PMC10977594 DOI: 10.1097/md.0000000000037628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 02/26/2024] [Indexed: 04/02/2024] Open
Abstract
Growing evidence has suggested that gut microbiota is associated with gynecologic cancers. However, whether there is a causal relationship between these associations remains to be determined. A two-sample Mendelian randomization (MR) evaluation was carried out to investigate the mechanism associating gut microbiota and 3 prevalent gynecological cancers, ovarian cancer (OC), endometrial cancer, and cervical cancer as well as their subtypes in individuals of European ancestry. The Genome-wide association studies statistics, which are publically accessible, were used. Eligible instrumental single nucleotide polymorphisms that were significantly related to the gut microbiota were selected. Multiple MR analysis approaches were carried out, including inverse variance weighted, MR-Egger, Weighted Median methods, and a range of sensitivity analyses. Lastly, we undertook a reverse MR analysis to evaluate the potential of reverse causality. We sifted through 196 bacterial taxa and identified 33 suggestive causal relationships between genetic liability in the gut microbiota and gynecological cancers. We found that 11 of these genera could be pathogenic risk factors for gynecological cancers, while 19 could lessen the risk of cancer. In the other direction, gynecological cancers altered gut microbiota composition. Our MR analysis revealed that the gut microbiota was causally associated with OC, endometrial cancer, and cervical cancer. This may assist in providing new insights for further mechanistic and clinical studies of microbiota-mediated gynecological cancer.
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Affiliation(s)
- Youqian Kong
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Shaoxuan Liu
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiaoyu Wang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Rui Qie
- Department of Internal Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
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Feng F, Li R, Tian R, Wu X, Zhang N, Nie Z. The causal relationship between gut microbiota and immune skin diseases: A bidirectional Mendelian randomization. PLoS One 2024; 19:e0298443. [PMID: 38512926 PMCID: PMC10956797 DOI: 10.1371/journal.pone.0298443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/23/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Increasing evidence suggests that alterations in gut microbiota are associated with a variety of skin diseases. However, whether this association reflects a causal relationship remains unknown. We aimed to reveal the causal relationship between gut microbiota and skin diseases, including psoriasis, atopic dermatitis, acne, and lichen planus. METHODS We obtained full genetic association summary data for gut microbiota, psoriasis, atopic dermatitis, acne, and lichen planus from public databases and used three methods, mainly inverse variance weighting, to analyze the causal relationships between gut microbiota and these skin diseases using bidirectional Mendelian randomization, as well as sensitivity and stability analysis of the results using multiple methods. RESULTS The results showed that there were five associated genera in the psoriasis group, seven associated genera were obtained in the atopic dermatitis group, a total of ten associated genera in the acne group, and four associated genera in the lichen planus group. The results corrected for false discovery rate showed that Eubacteriumfissicatenagroup (P = 2.20E-04, OR = 1.24, 95%CI:1.11-1.40) and psoriasis still showed a causal relationship. In contrast, in the reverse Mendelian randomization results, there was no evidence of an association between these skin diseases and gut microbiota. CONCLUSION We demonstrated a causal relationship between gut microbiota and immune skin diseases and provide a new therapeutic perspective for the study of immune diseases: targeted modulation of dysregulation of specific bacterial taxa to prevent and treat psoriasis, atopic dermatitis, acne, and lichen planus.
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Affiliation(s)
- Fei Feng
- Tianjin Medical University, Tianjin, China
| | - Ruicheng Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Rui Tian
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xueyi Wu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Nannan Zhang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhenhua Nie
- Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China
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Watts EL, Moore SC, Gunter MJ, Chatterjee N. Adiposity and cancer: meta-analysis, mechanisms, and future perspectives. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.16.24302944. [PMID: 38405761 PMCID: PMC10889047 DOI: 10.1101/2024.02.16.24302944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Obesity is a recognised risk factor for many cancers and with rising global prevalence, has become a leading cause of cancer. Here we summarise the current evidence from both population-based epidemiologic investigations and experimental studies on the role of obesity in cancer development. This review presents a new meta-analysis using data from 40 million individuals and reports positive associations with 19 cancer types. Utilising major new data from East Asia, the meta-analysis also shows that the strength of obesity and cancer associations varies regionally, with stronger relative risks for several cancers in East Asia. This review also presents current evidence on the mechanisms linking obesity and cancer and identifies promising future research directions. These include the use of new imaging data to circumvent the methodological issues involved with body mass index and the use of omics technologies to resolve biologic mechanisms with greater precision and clarity.
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Affiliation(s)
- Eleanor L Watts
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Shady Grove, MD, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Shady Grove, MD, USA
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, USA
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Li H, Du S, Dai J, Jiang Y, Li Z, Fan Q, Zhang Y, You D, Zhang R, Zhao Y, Christiani DC, Shen S, Chen F. Proteome-wide Mendelian randomization identifies causal plasma proteins in lung cancer. iScience 2024; 27:108985. [PMID: 38333712 PMCID: PMC10850776 DOI: 10.1016/j.isci.2024.108985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/17/2023] [Accepted: 01/17/2024] [Indexed: 02/10/2024] Open
Abstract
Plasma proteins are promising biomarkers and potential drug targets in lung cancer. To evaluate the causal association between plasma proteins and lung cancer, we performed proteome-wide Mendelian randomization meta-analysis (PW-MR-meta) based on lung cancer genome-wide association studies (GWASs), protein quantitative trait loci (pQTLs) of 4,719 plasma proteins in deCODE and 4,775 in Fenland. Further, causal-protein risk score (CPRS) was developed based on causal proteins and validated in the UK Biobank. 270 plasma proteins were identified using PW-MR meta-analysis, including 39 robust causal proteins (both FDR-q < 0.05) and 78 moderate causal proteins (FDR-q < 0.05 in one and p < 0.05 in another). The CPRS had satisfactory performance in risk stratification for lung cancer (top 10% CPRS:Hazard ratio (HR) (95%CI):4.33(2.65-7.06)). The CPRS [AUC (95%CI): 65.93 (62.91-68.78)] outperformed the traditional polygenic risk score (PRS) [AUC (95%CI): 55.71(52.67-58.59)]. Our findings offer further insight into the genetic architecture of plasma proteins for lung cancer susceptibility.
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Affiliation(s)
- Hongru Li
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Sha Du
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Jinglan Dai
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yunke Jiang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zaiming Li
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Qihan Fan
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yixin Zhang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Dongfang You
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- China International Cooperation Center of Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Ruyang Zhang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Biomedical Big Data of Nanjing Medical University, Nanjing 211166, China
| | - Yang Zhao
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Biomedical Big Data of Nanjing Medical University, Nanjing 211166, China
| | - David C. Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
- Pulmonary and Critical Care Division, Massachusetts General Hospital, Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Sipeng Shen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
- Key Laboratory of Biomedical Big Data of Nanjing Medical University, Nanjing 211166, China
| | - Feng Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
- China International Cooperation Center of Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
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Yarmolinsky J, Robinson JW, Mariosa D, Karhunen V, Huang J, Dimou N, Murphy N, Burrows K, Bouras E, Smith-Byrne K, Lewis SJ, Galesloot TE, Kiemeney LA, Vermeulen S, Martin P, Albanes D, Hou L, Newcomb PA, White E, Wolk A, Wu AH, Le Marchand L, Phipps AI, Buchanan DD, Zhao SS, Gill D, Chanock SJ, Purdue MP, Davey Smith G, Brennan P, Herzig KH, Järvelin MR, Amos CI, Hung RJ, Dehghan A, Johansson M, Gunter MJ, Tsilidis KK, Martin RM. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. EBioMedicine 2024; 100:104991. [PMID: 38301482 PMCID: PMC10844944 DOI: 10.1016/j.ebiom.2024.104991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Tumour-promoting inflammation is a "hallmark" of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,294 cancer cases and up to 1,238,345 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 × 10-8) cis-acting SNPs (i.e., in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r2 < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value ("q-value") <0.05 was used as a threshold to define "strong evidence" to support associations and 0.05 ≤ q-value < 0.20 to define "suggestive evidence". A colocalisation posterior probability (PPH4) >70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. Findings were replicated in the FinnGen study and then pooled using meta-analysis. FINDINGS We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR: 1.19, 95% CI: 1.10-1.29, q-value = 0.033, PPH4 = 84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR: 1.42, 95% CI: 1.20-1.69, q-value = 0.055, PPH4 = 73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR: 0.66, 95% CI: 0.53-0.81, q-value = 0.067, PPH4 = 81.8%), and interleukin-1 receptor-like 1 concentrations with decreased triple-negative breast cancer risk (OR: 0.92, 95% CI: 0.88-0.97, q-value = 0.15, PPH4 = 85.6%). These findings were replicated in pooled analyses with the FinnGen study. Though suggestive evidence was found to support an association of macrophage migration inhibitory factor concentrations with increased bladder cancer risk (OR: 2.46, 95% CI: 1.48-4.10, q-value = 0.072, PPH4 = 76.1%), this finding was not replicated when pooled with the FinnGen study. For 22 of 30 cancer outcomes examined, there was little evidence (q-value ≥0.20) that any of the 66 circulating inflammatory markers examined were associated with cancer risk. INTERPRETATION Our comprehensive joint Mendelian randomization and colocalisation analysis of the role of circulating inflammatory markers in cancer risk identified potential roles for 4 circulating inflammatory markers in risk of 4 site-specific cancers. Contrary to reports from some prior conventional epidemiological studies, we found little evidence of association of circulating inflammatory markers with the majority of site-specific cancers evaluated. FUNDING Cancer Research UK (C68933/A28534, C18281/A29019, PPRCPJT∖100005), World Cancer Research Fund (IIG_FULL_2020_022), National Institute for Health Research (NIHR202411, BRC-1215-20011), Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4), Academy of Finland Project 326291, European Union's Horizon 2020 grant agreement no. 848158 (EarlyCause), French National Cancer Institute (INCa SHSESP20, 2020-076), Versus Arthritis (21173, 21754, 21755), National Institutes of Health (U19 CA203654), National Cancer Institute (U19CA203654).
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Affiliation(s)
- James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK.
| | - Jamie W Robinson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Daniela Mariosa
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland; Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Jian Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Karl Smith-Byrne
- The Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah J Lewis
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | | | - Sita Vermeulen
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul Martin
- School of Biochemistry, Biomedical Sciences Building, University of Bristol, University Walk, Bristol, UK
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; School of Public Health, University of Washington, Seattle, WA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomic Group, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia; Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, Victoria, Australia; Genetic Medicine and Family Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Sizheng Steven Zhao
- Centre for Epidemiology Versus Arthritis, Faculty of Biological Medicine and Health, University of Manchester, Manchester, UK
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Karl-Heinz Herzig
- Institute of Biomedicine, Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland; Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Marjo-Riitta Järvelin
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland; Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Chris I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Dementia Research Institute, Imperial College London, London, UK
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; University Hospitals Bristol and Weston NHS Foundation Trust, National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
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Li X, Jiang M, Zhao L, Yang K, Lu T, Zhang D, Li J, Wang L. Relationship between autism and brain cortex surface area: genetic correlation and a two-sample Mendelian randomization study. BMC Psychiatry 2024; 24:69. [PMID: 38263034 PMCID: PMC10807092 DOI: 10.1186/s12888-024-05514-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/10/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Alterations in surface area (SA) in specific regions of the cortex have been reported in many individuals with autism spectrum disorder (ASD), however, the genetic background between ASD and SA is still unclear. This study estimated the genetic correlation and causal effect of ASD and cortical SA. METHODS Summarized data of genome-wide association studies (GWAS) were separately downloaded from the Psychiatric Genomics Consortium (18,381 cases of ASD, and 27,969 controls) and the Enhancing Neuroimaging Genetics through Meta-Analysis Consortium (33,992 participants of Europeans). We used Linkage disequilibrium score regression (LDSC) and Heritability Estimation from Summary Statistics (HESS) to calculate the heritability of each trait. As for the genetic correlation between ASD and SA, LDSC was used for global correlation and HESS was used to examine the local genetic covariance further. We used three Mendelian randomization (MR) methods, Inverse-variance weighted, MR-Egger, and weighted median to estimate the causal relationship. RESULTS LDSC observed a nominal significant genetic correlation (rg = 0.1229, P-value = 0.0346) between ASD and SA of the rostral anterior cingulate gyrus whereas analysis through HESS did not reveal any significant loci having genetic covariance. Based on MR results, statistically meaningful estimations were found in the following areas, postcentral cortex (β (SE) = 21.82 (7.84) mm, 95% CI: 6.46 to 37.19 mm, PIVW = 5.38 × 10- 3, PFDR = 3.09 × 10- 2), posterior cingulate gyrus (β (SE) = 6.23 (2.69) mm, 95% CI: 0.96 to 11.49 mm, PIVW = 2.05 × 10- 2, PFDR = 4.26 × 10- 2), supramarginal gyrus (β (SE) = 19.25 (8.43) mm, 95% CI: 29.29 to 35.77 mm, PIVW = 2.24 × 10- 2, PFDR = 4.31 × 10- 2). CONCLUSION Our results provided genetic evidence to support the opinion that individuals with ASD tend to develop differences in cortical SA of special areas. The findings contributed to understanding the genetic relationship between ASD and cortical SA.
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Grants
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 2019B030335001 Key-Area Research and Development Program of Guangdong Province
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
- 81971283, 82171537, 82071541, 81671363, and 81730037 National Natural Science Foundation of China
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Affiliation(s)
- Xianjing Li
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Miaomiao Jiang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Liyang Zhao
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Kang Yang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Tianlan Lu
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Dai Zhang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Institute for Brain Research and Rehabilitation (IBRR), South China Normal University, Guangzhou, China
| | - Jun Li
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China.
| | - Lifang Wang
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital, Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China.
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Liu S, Ding D, Liu F, Guo Y, Xie L, Han FJ. Exploring the causal role of multiple metabolites on ovarian cancer: a two sample Mendelian randomization study. J Ovarian Res 2024; 17:22. [PMID: 38263045 PMCID: PMC10804794 DOI: 10.1186/s13048-023-01340-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/30/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND The mechanisms and risk factors underlying ovarian cancer (OC) remain under investigation, making the identification of new prognostic biomarkers and improved predictive factors critically important. Recently, circulating metabolites have shown potential in predicting survival outcomes and may be associated with the pathogenesis of OC. However, research into their genetic determinants is limited, and there are some inadequacies in understanding the distinct subtypes of OC. In this context, we conducted a Mendelian randomization study aiming to provide evidence for the relationship between genetically determined metabolites (GDMs) and the risk of OC and its subtypes. METHODS In this study, we consolidated genetic statistical data of GDMs with OC and its subtypes through a genome-wide association study (GWAS) and conducted a two-sample Mendelian randomization (MR) analysis. The inverse variance weighted (IVW) method served as the primary approach, with MR-Egger and weighted median methods employed for cross-validation to determine whether a causal relationship exists between the metabolites and OC risk. Moreover, a range of sensitivity analyses were conducted to validate the robustness of the results. MR-Egger intercept, and Cochran's Q statistical analysis were used to evaluate possible heterogeneity and pleiotropy. False discovery rate (FDR) correction was applied to validate the findings. We also conducted a reverse MR analysis to validate whether the observed blood metabolite levels were influenced by OC risk. Additionally, metabolic pathway analysis was carried out using the MetaboAnalyst 5.0 software. RESULTS In MR analysis, we discovered 18 suggestive causal associations involving 14 known metabolites, 8 metabolites as potential risk factors, and 6 as potential cancer risk reducers. In addition, three significant pathways, "caffeine metabolism," "arginine biosynthesis," and "citrate cycle (TCA cycle)" were associated with the development of mucinous ovarian cancer (MOC). The pathways "caffeine metabolism" and "alpha-linolenic acid metabolism" were associated with the onset of endometrioid ovarian cancer (OCED). CONCLUSIONS Our MR analysis revealed both protective and risk-associated metabolites, providing insights into the potential causal relationships between GDMs and the metabolic pathways related to OC and its subtypes. The metabolites that drive OC could be potential candidates for biomarkers.
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Affiliation(s)
- Shaoxuan Liu
- First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Danni Ding
- First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Fangyuan Liu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Ying Guo
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Liangzhen Xie
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Feng-Juan Han
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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Koca T, Cetmi DA, Aksoy RA, Korcum AF. The Predictive Role of Inflammatory Biomarkers in Patients With Larynx Cancer Undergoing Definitive Radiotherapy. Technol Cancer Res Treat 2024; 23:15330338241280433. [PMID: 39196647 PMCID: PMC11363246 DOI: 10.1177/15330338241280433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/16/2024] [Accepted: 07/24/2024] [Indexed: 08/30/2024] Open
Abstract
Inflammation plays an important role in the process of cancer development. The number of studies evaluating the ability of inflammatory biomarkers to predict survival has increased in recent years. This study aimed to comprehensively evaluate the predictive role of inflammatory biomarkers in patients with larynx cancer undergoing definitive radiotherapy. A total of 101 patients who underwent definitive radiotherapy for larynx cancer at our center were retrospectively examined. Blood samples were taken from the patients before radiotherapy to obtain biomarkers such as C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), pan-immune inflammatory value (PIV), hemo-eosinophil inflammation index (HEI), albumin, and Lactate dehydrogenase (LDH). The study examined the predictive value of parameters for progression-free survival (PFS), local recurrence-free survival (LRFS), and overall survival (OS) using both univariate and multivariate Cox regression analysis. In the univariate analysis, the biomarkers that predicted PFS were SII, PIV, CRP, and Eastern Cooperative Oncology Group Performance Status (ECOG PS). According to the multivariate analysis, only CRP was found to be a significant predictor of PFS. In the univariate analysis, the following biomarkers were found to predict OS: NLR, PLR, MLR, SII, PIV, CRP, HEI, stage, and ECOG PS. In the multivariate analysis, NLR and ECOG PS were found to be predictors of OS. A significant difference was found in MLR, PIV, and CRP values based on the presence of lymphatic metastasis. The current study is the first to comprehensively examine the relationship between larynx cancer and several inflammatory biomarkers. Many of these biomarkers have been shown to predict both PFS and OS in patients with larynx cancer undergoing definitive radiotherapy. It has been shown that PIV and CRP may predict the presence of lymphatic metastases in addition to PFS and OS.
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Affiliation(s)
- Timur Koca
- Department of Radiation Oncology, Akdeniz University School of Medicine, Antalya, Turkey
| | - Durmus Ali Cetmi
- Department of Radiation Oncology, Akdeniz University School of Medicine, Antalya, Turkey
| | - Rahmi Atil Aksoy
- Department of Radiation Oncology, Akdeniz University School of Medicine, Antalya, Turkey
| | - Aylin Fidan Korcum
- Department of Radiation Oncology, Akdeniz University School of Medicine, Antalya, Turkey
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Chen Y, Liu S, Gong W, Guo P, Xue F, Zhou X, Wang S, Yuan Z. Protein-centric omics integration analysis identifies candidate plasma proteins for multiple autoimmune diseases. Hum Genet 2023:10.1007/s00439-023-02627-0. [PMID: 38143258 DOI: 10.1007/s00439-023-02627-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/28/2023] [Indexed: 12/26/2023]
Abstract
It remains challenging to translate the findings from genome-wide association studies (GWAS) of autoimmune diseases (AIDs) into interventional targets, presumably due to the lack of knowledge on how the GWAS risk variants contribute to AIDs. In addition, current immunomodulatory drugs for AIDs are broad in action rather than disease-specific. We performed a comprehensive protein-centric omics integration analysis to identify AIDs-associated plasma proteins through integrating protein quantitative trait loci datasets of plasma protein (1348 proteins and 7213 individuals) and totally ten large-scale GWAS summary statistics of AIDs under a cutting-edge systematic analytic framework. Specifically, we initially screened out the protein-AID associations using proteome-wide association study (PWAS), followed by enrichment analysis to reveal the underlying biological processes and pathways. Then, we performed both Mendelian randomization (MR) and colocalization analyses to further identify protein-AID pairs with putatively causal relationships. We finally prioritized the potential drug targets for AIDs. A total of 174 protein-AID associations were identified by PWAS. AIDs-associated plasma proteins were significantly enriched in immune-related biological process and pathways, such as inflammatory response (P = 3.96 × 10-10). MR analysis further identified 97 protein-AID pairs with potential causal relationships, among which 21 pairs were highly supported by colocalization analysis (PP.H4 > 0.75), 10 of 21 were the newly discovered pairs and not reported in previous GWAS analyses. Further explorations showed that four proteins (TLR3, FCGR2A, IL23R, TCN1) have corresponding drugs, and 17 proteins have druggability. These findings will help us to further understand the biological mechanism of AIDs and highlight the potential of these proteins to develop as therapeutic targets for AIDs.
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Affiliation(s)
- Yingxuan Chen
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China
| | - Shuai Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China
| | - Weiming Gong
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China
| | - Ping Guo
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China
| | - Xiang Zhou
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Shukang Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China.
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China.
| | - Zhongshang Yuan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44, Wenhua West Road, Jinan, 250012, Shandong, China.
- Institute for Medical Dataology, Shandong University, 12550, Erhuan East Road, Jinan, 250003, Shandong, China.
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Mälarstig A, Grassmann F, Dahl L, Dimitriou M, McLeod D, Gabrielson M, Smith-Byrne K, Thomas CE, Huang TH, Forsberg SKG, Eriksson P, Ulfstedt M, Johansson M, Sokolov AV, Schiöth HB, Hall P, Schwenk JM, Czene K, Hedman ÅK. Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation. Nat Commun 2023; 14:7680. [PMID: 37996402 PMCID: PMC10667261 DOI: 10.1038/s41467-023-43485-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
Biomarkers for early detection of breast cancer may complement population screening approaches to enable earlier and more precise treatment. The blood proteome is an important source for biomarker discovery but so far, few proteins have been identified with breast cancer risk. Here, we measure 2929 unique proteins in plasma from 598 women selected from the Karolinska Mammography Project to explore the association between protein levels, clinical characteristics, and gene variants, and to identify proteins with a causal role in breast cancer. We present 812 cis-acting protein quantitative trait loci for 737 proteins which are used as instruments in Mendelian randomisation analyses of breast cancer risk. Of those, we present five proteins (CD160, DNPH1, LAYN, LRRC37A2 and TLR1) that show a potential causal role in breast cancer risk with confirmatory results in independent cohorts. Our study suggests that these proteins should be further explored as biomarkers and potential drug targets in breast cancer.
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Affiliation(s)
- Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
- Pfizer Worldwide Research Development and Medical, Stockholm, Sweden.
| | - Felix Grassmann
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Clinical Research and Systems Medicine, Health and Medical University, Potsdam, Germany
| | - Leo Dahl
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden
| | - Marios Dimitriou
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pfizer Worldwide Research Development and Medical, Stockholm, Sweden
| | - Dianna McLeod
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Cecilia E Thomas
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden
| | - Tzu-Hsuan Huang
- Cancer Immunology Discovery, Pfizer Inc., San Diego, California, USA
| | | | | | | | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Aleksandr V Sokolov
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Helgi B Schiöth
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Jochen M Schwenk
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Åsa K Hedman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pfizer Worldwide Research Development and Medical, Stockholm, Sweden
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Lin Y, Wang G, Li Y, Yang H, Zhao Y, Liu J, Mu L. Circulating Inflammatory Cytokines and Female Reproductive Diseases: A Mendelian Randomization Analysis. J Clin Endocrinol Metab 2023; 108:3154-3164. [PMID: 37350485 DOI: 10.1210/clinem/dgad376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/19/2023] [Accepted: 06/22/2023] [Indexed: 06/24/2023]
Abstract
CONTEXT Extensive studies have provided considerable evidence suggesting the role of inflammation in the development of female reproductive diseases. However, causality has not been established. OBJECTIVE To explore whether genetically determined circulating levels of cytokines are causally associated with female reproductive diseases and discover potential novel drug targets for these diseases. METHODS Instrumental variables (IVs) for 47 circulating cytokines were obtained from a genome-wide association study (GWAS) meta-analysis of 31 112 European individuals. Protein quantitative trait loci and expression quantitative trait loci close to genes served as our IVs. Summary data of 9 female reproductive diseases were mainly derived from GWAS meta-analysis of the UK biobank and FinnGen. We elevated the association using the Wald ratio or inverse variance-weighted Mendelian randomization (MR) with subsequent assessments for MR assumptions in several sensitivity and colocalization analyses. We consider a false discovery rate <0.05 as statistical significance in MR analyses. Replication studies were conducted for further validation, and phenome-wide association studies were designed to explore potential side effects. RESULTS Our results indicated that high levels of macrophage colony-stimulating factor (MCSF), growth-regulated oncogene-alpha (GROα), and soluble intercellular adhesion molecule-1 were associated with increased risks of endometriosis, female infertility, and pre-eclampsia, respectively. High platelet-derived growth factor-BB (PDGF-BB) levels that reduced the risk of ovarian aging were also supported. Replication analysis supported the relationship between GROα and female infertility, and between MCSF and endometriosis. CONCLUSION We identified 4 correlated pairs that implied potential protein drug targets. Notably, we preferred highlighting the value of PDGF-BB as a drug target for ovarian aging, and MCSF as a drug target for endometriosis.
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Affiliation(s)
- Yiting Lin
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Reproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guiquan Wang
- Center for Reproductive Medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| | - Yan Li
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Haiyan Yang
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yue Zhao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing, China
- Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, China
| | - Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liangshan Mu
- Reproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China
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43
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Tao S, Lin Y, Huang S, Lin S, Jin K, Chen H. Circulating inflammatory cytokines in relation to the risk of renal cell carcinoma: A gender-specific two-sample Mendelian randomization study. Cancer Med 2023; 12:21013-21021. [PMID: 37902279 PMCID: PMC10709742 DOI: 10.1002/cam4.6658] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/09/2023] [Accepted: 09/29/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Currently there is no specific molecular biomarker for the diagnosis and treatment of renal cell carcinoma (RCC). Here we performed a gender-specific two-sample Mendelian randomization analysis to systematically assess the effects of circulating cytokines on RCC. METHODS We have employed cis-quantitative trait loci as instrumental variables for the protein levels and expression of circulating cytokines. We estimated the causal effects of circulating cytokines on RCC risk in males and females with several Mendelian randomization methods. RESULTS We observed a significant causal effect of Eotaxin on the increased risk of RCC in males (Odds ratio [OR] = 2.546, 95% confidence interval [CI] = 1.617-4.010, p value = 5.496 × 10-5), but not in females (OR = 1.352, 95% CI = 0.766-2.388, p value = 0.298). Besides, we also identified several cytokines as potentially associated with RCC in males including RANTES, MCP3, PDGFbb, TRAIL, and several other cytokines as potentially associated with RCC in females including sICAM and SCGFb. CONCLUSION Our study highlighted that a higher level of circulating Eotaxin is causally associated with an increased risk of RCC in males but not in females. Further studies are needed to elucidate the exact mechanism and its potential application in the prognosis and treatment of RCC.
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Affiliation(s)
- Shuixiang Tao
- Department of UrologyShaoxing People's Hospital (Zhejiang University Shaoxing Hospital)ShaoxingZhejiangChina
| | - Yiwei Lin
- Department of Urology, the First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Shengqiang Huang
- Department of UrologyThe People's Hospital of Pujiang CountyJinhuaZhejiangChina
| | - Shen Lin
- Department of Urology, the First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Ke Jin
- Department of Urology, the First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - Hong Chen
- Department of Urology, the First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
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Dey DK, Krause D, Rai R, Choudhary S, Dockery LE, Chandra V. The role and participation of immune cells in the endometrial tumor microenvironment. Pharmacol Ther 2023; 251:108526. [PMID: 37690483 DOI: 10.1016/j.pharmthera.2023.108526] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/12/2023]
Abstract
The tumor microenvironment is surrounded by blood vessels and consists of malignant, non-malignant, and immune cells, as well as signalling molecules, which primarily affect the therapeutic response and curative effects of drugs in clinical studies. Tumor-infiltrating immune cells participate in tumor progression, impact anticancer therapy, and eventually lead to the development of immune tolerance. Immunotherapy is evolving as a promising therapeutic intervention to stimulate and activate the immune system to suppress cancer cell growth. Endometrial cancer (EC) is an immunogenic disease, and in recent years, immunotherapy has shown benefit in the treatment of recurrent and advanced EC. This review discusses the key molecular pathways associated with the intra-tumoral immune response and the involvement of circulatory signalling molecules. Specific immunologic signatures in EC which offer targets for immunomodulating agents, are also discussed. We have summarized the available literature in support of using immunotherapy in EC. Lastly, we have also discussed ongoing clinical trials that may offer additional promising immunotherapy options in the future. The manuscript also explored innovative approaches for screening and identifying effective drugs, and to reduce the financial burdens for the development of personalized treatment strategies. Collectively, we aim to provide a comprehensive review of the role of immune cells and the tumor microenvironment in the development, progression, and treatment of EC.
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Affiliation(s)
- Debasish Kumar Dey
- Gynecologic Oncology Section, Obstetrics and Gynecology Department, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Danielle Krause
- Gynecologic Oncology Section, Obstetrics and Gynecology Department, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Rajani Rai
- Gynecologic Oncology Section, Obstetrics and Gynecology Department, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Swati Choudhary
- Gynecologic Oncology Section, Obstetrics and Gynecology Department, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Lauren E Dockery
- Gynecologic Oncology Section, Obstetrics and Gynecology Department, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Vishal Chandra
- Gynecologic Oncology Section, Obstetrics and Gynecology Department, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
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Ding X, Wang W, Tao X, Li Z, Huang Y. Construction of a novel prognostic model in skin cutaneous melanoma based on chemokines-related gene signature. Sci Rep 2023; 13:18172. [PMID: 37875556 PMCID: PMC10598024 DOI: 10.1038/s41598-023-44598-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023] Open
Abstract
Skin cutaneous melanoma, SKCM, is one of the most aggressive treatment-resistant tumours. Despite the fact that the BRAF oncogene and immunological checkpoints such as PD-1/PD-L1 and CTLA-4 have enhanced the therapeutic efficacy of SKCM, the subsequent resistance mechanisms and remedies have raised concerns. Chemokines have a significant role in the immunological milieu of tumor, which may increase the efficacy of checkpoint blockade and serve as a possible therapeutic intervention route. However, there is still no chemokine-based typing and risk model to provide a prognosis and therapeutic efficacy assessment for SKCM patients. In this study, we verified the distinct differences of prognostic stratification as well as immune characteristics between two chemokine-related clusters in SKCM patients. Two clusters of DEGs were discovered to be primarily enriched in B and T cell receptor signaling pathways as well as TNF signaling via NF-kappa-B. Based on 14 prognosis-related DEGs from aforementioned two clusters (CCL8, GBP2, GBP4, SRNG, HLA-DMB, RARRES3, HLA-DQA1, PARP12, APOL3, IRF1, HLA-DRA, UBE2L6, IL2RA and CD38), a chemokine-related 14-gene prognostic model was established. At the same time, researchers explored differences between the low-risk and high-risk groups in clinical traits, the proportion of infiltration of 22 different types of immune cells, and how well medications worked. The risk score model's immunotherapy and prognostic predictions were also confirmed in testing groups. Based on the finding, we can claim that there is a clear link between chemokines and TME in SKCM. The risk score may perform as a trustworthy prediction model, giving therapeutic benefits for both chemotherapy and immunotherapy, as well as being beneficial for clinical decision making in SKCM patients.
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Affiliation(s)
- Xiaoxia Ding
- Center for Plastic and Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Wenwen Wang
- Department of Dermatology and Venereology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xiaohua Tao
- Center for Plastic and Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Zhiming Li
- Department of Dermatology and Venereology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
| | - Youming Huang
- Center for Plastic and Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
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46
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Dong Z, Xu M, Sun X, Wang X. Mendelian randomization and transcriptomic analysis reveal an inverse causal relationship between Alzheimer's disease and cancer. J Transl Med 2023; 21:527. [PMID: 37542274 PMCID: PMC10403895 DOI: 10.1186/s12967-023-04357-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/14/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) and cancer are common age-related diseases, and epidemiological evidence suggests an inverse relationship between them. However, investigating the potential mechanism underlying their relationship remains insufficient. METHODS Based on genome-wide association summary statistics for 42,034 AD patients and 609,951 cancer patients from the GWAS Catalog using the two-sample Mendelian randomization (MR) method. Moreover, we utilized two-step MR to identify metabolites mediating between AD and cancer. Furthermore, we employed colocalization analysis to identify genes whose upregulation is a risk factor for AD and demonstrated the genes' upregulation to be a favorable prognostic factor for cancer by analyzing transcriptomic data for 33 TCGA cancer types. RESULTS Two-sample MR analysis revealed a significant causal influence for increased AD risk on reduced cancer risk. Two-step MR analysis identified very low-density lipoprotein (VLDL) as a key mediator of the negative cause-effect relationship between AD and cancer. Colocalization analysis uncovered PVRIG upregulation to be a risk factor for AD. Transcriptomic analysis showed that PVRIG expression had significant negative correlations with stemness scores, and positive correlations with antitumor immune responses and overall survival in pan-cancer and multiple cancer types. CONCLUSION AD may result in lower cancer risk. VLDL is a significant intermediate variable linking AD with cancer. PVRIG abundance is a risk factor for AD but a protective factor for cancer. This study demonstrates a causal influence for AD on cancer and provides potential molecular connections between both diseases.
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Affiliation(s)
- Zehua Dong
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Mengli Xu
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China
| | - Xu Sun
- Department of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, 211500, China.
- Department of Pharmacy, Luhe Hospital Affiliated with Yangzhou University Medical College, Nanjing, 211500, China.
| | - Xiaosheng Wang
- Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
- Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
- Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China.
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47
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Cho JM, Koh JH, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK, Park S. Mendelian randomization uncovers a protective effect of interleukin-1 receptor antagonist on kidney function. Commun Biol 2023; 6:722. [PMID: 37452175 PMCID: PMC10349143 DOI: 10.1038/s42003-023-05091-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 07/02/2023] [Indexed: 07/18/2023] Open
Abstract
Interleukins (ILs), key cytokine family of inflammatory response, are closely associated with kidney function. However, the causal effect of various ILs on kidney function needs further investigation. Here we show two-sample summary-level Mendelian randomization (MR) analysis that examined the causality between serum IL levels and kidney function. Genetic variants with strong association with serum IL levels were obtained from a previous genome-wide association study meta-analysis. Summary-level data for estimated glomerular filtration rate (eGFR) were obtained from CKDGen database. As a main MR analysis, multiplicative random-effects inverse-variance weighted method was performed. Pleiotropy-robust MR analysis, including MR-Egger with bootstrapped error and weighted median methods, were also implemented. We tested the causal estimates from nine ILs on eGFR traits. Among the results, higher genetically predicted serum IL-1 receptor antagonist level was significantly associated with higher eGFR values in the meta-analysis of CKDGen and the UK Biobank data. In addition, the result was consistent towards eGFR decline phenotype of the outcome database. Otherwise, nonsignificant association was identified between other genetically predicted ILs and eGFR outcome. These findings support the clinical importance of IL-1 receptor antagonist-associated pathway in relation to kidney function in the general individuals, particularly highlighting the importance of IL-1 receptor antagonist.
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Affiliation(s)
- Jeong Min Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Hun Koh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
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Zhang Z, Wang S, Ren F, Yang L, Xie H, Pan L, Li Y, Yu B, Yang Y, Su H, Chen Y, Zhang C, Chen H, Yang W, An N, Bai Y. Inflammatory factors and risk of meningiomas: a bidirectional mendelian-randomization study. Front Neurosci 2023; 17:1186312. [PMID: 37425011 PMCID: PMC10325787 DOI: 10.3389/fnins.2023.1186312] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/02/2023] [Indexed: 07/11/2023] Open
Abstract
Background Meningiomas are one of the most common intracranial tumors, and the current understanding of meningioma pathology is still incomplete. Inflammatory factors play an important role in the pathophysiology of meningioma, but the causal relationship between inflammatory factors and meningioma is still unclear. Method Mendelian randomization (MR) is an effective statistical method for reducing bias based on whole genome sequencing data. It's a simple but powerful framework, that uses genetics to study aspects of human biology. Modern methods of MR make the process more robust by exploiting the many genetic variants that may exist for a given hypothesis. In this paper, MR is applied to understand the causal relationship between exposure and disease outcome. Results This research presents a comprehensive MR study to study the association of genetic inflammatory cytokines with meningioma. Based on the results of our MR analysis, which examines 41 cytokines in the largest GWAS datasets available, we were able to draw the relatively more reliable conclusion that elevated levels of circulating TNF-β, CXCL1, and lower levels of IL-9 were suggestive associated with a higher risk of meningioma. Moreover, Meningiomas could cause lower levels of interleukin-16 and higher levels of CXCL10 in the blood. Conclusion These findings suggest that TNF-β, CXCL1, and IL-9 play an important role in the development of meningiomas. Meningiomas also affect the expression of cytokines such as IL-16 and CXCL10. Further studies are needed to determine whether these biomarkers can be used to prevent or treat meningiomas.
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Affiliation(s)
- Zhiyun Zhang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
- Department of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, China
| | - Shengnan Wang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Fei Ren
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Laiyu Yang
- Department of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, China
| | - Haoqun Xie
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Lin Pan
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yifan Li
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Bingcheng Yu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yifan Yang
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Haoyi Su
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Youqi Chen
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Chuyi Zhang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
| | - Hongyu Chen
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wenzhuo Yang
- Department of Neurosurgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Nan An
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yang Bai
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China
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Yin Q, Yang Q, Shi W, Kahlert UD, Li Z, Lin S, Song Q, Fan W, Wang L, Zhu Y, Huang X. Mendelian Randomization Analyses of Chronic Immune-Mediated Diseases, Circulating Inflammatory Biomarkers, and Cytokines in Relation to Liver Cancer. Cancers (Basel) 2023; 15:cancers15112930. [PMID: 37296892 DOI: 10.3390/cancers15112930] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Liver cancer is closely linked to chronic inflammation. While observational studies have reported positive associations between extrahepatic immune-mediated diseases and systemic inflammatory biomarkers and liver cancer, the genetic association between these inflammatory traits and liver cancer remains elusive and merits further investigation. We conducted a two-sample Mendelian randomization (MR) analysis, using inflammatory traits as exposures and liver cancer as the outcome. The genetic summary data of both exposures and outcome were retrieved from previous genome-wide association studies (GWAS). Four MR methods, including inverse-variance-weighted (IVW), MR-Egger regression, weighted-median, and weighted-mode methods, were employed to examine the genetic association between inflammatory traits and liver cancer. Nine extrahepatic immune-mediated diseases, seven circulating inflammatory biomarkers, and 187 inflammatory cytokines were analyzed in this study. The IVW method suggested that none of the nine immune-mediated diseases were associated with the risk of liver cancer, with odds ratios of 1.08 (95% CI 0.87-1.35) for asthma, 0.98 (95% CI 0.91-1.06) for rheumatoid arthritis, 1.01 (95% CI 0.96-1.07) for type 1 diabetes, 1.01 (95% CI 0.98-1.03) for psoriasis, 0.98 (95% CI 0.89-1.08) for Crohn's disease, 1.02 (95% CI 0.91-1.13) for ulcerative colitis, 0.91 (95% CI 0.74-1.11) for celiac disease, 0.93 (95% CI 0.84-1.05) for multiple sclerosis, and 1.05 (95% CI 0.97-1.13) for systemic lupus erythematosus. Similarly, no significant association was found between circulating inflammatory biomarkers and cytokines and liver cancer after correcting for multiple testing. The findings were consistent across all four MR methods used in this study. Our findings do not support a genetic association between extrahepatic inflammatory traits and liver cancer. However, larger-scale GWAS summary data and more genetic instruments are needed to confirm these findings.
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Affiliation(s)
- Qiushi Yin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Qiuxi Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Wenjie Shi
- Molecular and Experimental Surgery, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Medical Faculty University Hospital Magdeburg, Otto-von Guericke University, 39120 Magdeburg, Germany
| | - Ulf D Kahlert
- Molecular and Experimental Surgery, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Medical Faculty University Hospital Magdeburg, Otto-von Guericke University, 39120 Magdeburg, Germany
| | - Zhongyi Li
- Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, 80539 Munich, Germany
| | - Shibu Lin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Qifeng Song
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Weiqiang Fan
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Li Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Yi Zhu
- Department of Gastroenterological Surgery, The Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
| | - Xiaolong Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
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Wei T, Zhu Z, Liu L, Liu B, Wu M, Zhang W, Cui Q, Liu F, Zhang R. Circulating levels of cytokines and risk of cardiovascular disease: a Mendelian randomization study. Front Immunol 2023; 14:1175421. [PMID: 37304261 PMCID: PMC10247976 DOI: 10.3389/fimmu.2023.1175421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/12/2023] [Indexed: 06/13/2023] Open
Abstract
Background Epidemiological studies have linked various circulating cytokines to cardiovascular disease (CVD), which however remains uncertain whether these relationships represent causality or are due to bias. To address this question, we conducted a Mendelian randomization (MR) analysis to systematically investigate the causal effects of circulating cytokine levels on CVD development. Methods This study leveraged the summary statistic from respective genome-wide association study (GWAS) of 47 cytokines and four types of CVD. The cis-quantitative trait locus (cis-QTL) definition, derived from a GWAS meta-analysis comprising 31,112 participants of European descent, served as instruments for cytokines. A two-sample MR design was employed, followed by comprehensive sensitivity analyses to validate the robustness of results. Results The results of inverse-variance weighted method using cis-protein QTL (cis-pQTL) instruments, showed the causal effects of four cytokines (i.e., IL-1ra, MCSF, SeSelectin, SCF) on the risk of coronary artery disease (CAD). We also identified causal relationships between two cytokines (i.e., IL-2ra, IP-10) and heart failure (HF), as well as two cytokines (i.e., MCP-3, SeSelectin) and atrial fibrillation (AF), after controlling for false discovery rate (FDR). The use of cis-expression QTL (cis-eQTL) revealed additional causal associations between IL-1a, MIF and CAD, between IL-6, MIF, and HF, as well as between FGFBasic and AF. No significant sign was survived for stroke with FDR applied. Results were largely consistent across sensitivity analyses. Conclusion The present study provides supportive evidence that genetic predisposition to levels of certain cytokines causally affects the development of specific type of CVD. These findings have important implications for the creation of novel therapeutic strategies targeting these cytokines as a means of preventing and treating CVD.
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Affiliation(s)
- Tao Wei
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Zhanfang Zhu
- Department of General Internal Medicine, Xi’an Jiaotong University Hospital, Xi’an, China
| | - Lin Liu
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Bo Liu
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Min Wu
- Shaanxi Provincial Key Laboratory of Infection and Immune Diseases, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Wei Zhang
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Qianwei Cui
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Fuqiang Liu
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
| | - Ronghuai Zhang
- Department of Cardiology, Shaanxi Provincial People’s Hospital, Xi’an, China
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