Non-differential gut microbes contribute to hypertension and its severity through co-abundances: A multi-regional prospective cohort study

Lu Liu , Qianyi Zhou , Tianbao Xu , Qiufeng Deng , Yuhao Sun , Jingxiang Fu , Muxuan Chen , Xiaojiao Chen , Zhenchao Ma , Quanbin Dong , Beining Ma , Yuwen Jiao , Yan Zhou , Tingting Wu , Huayiyang Zou , Jing Shi , Yifeng Wang , Yanhui Sheng , Liming Tang , Chao Zheng , Wei Wu , Wenjun Ma , Wei Sun , Shixian Hu , Hongwei Zhou , Yan He , Xiangqing Kong , Lianmin Chen

iMeta ›› 2025, Vol. 4 ›› Issue (1) : e268

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iMeta ›› 2025, Vol. 4 ›› Issue (1) :e268 DOI: 10.1002/imt2.268
RESEARCH ARTICLE
Non-differential gut microbes contribute to hypertension and its severity through co-abundances: A multi-regional prospective cohort study
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Abstract

Microbial dysbiosis, characterized by an imbalanced microbial community structure and function, has been linked to hypertension. While prior research has primarily focused on differential abundances, our study highlights the role of non-differential microbes in hypertension. We propose that non-differential microbes contribute to hypertension through their ecological interactions, as defined by co-abundances (pairs of microbes exhibiting correlated abundance patterns). Using gut microbiome data from the Guangdong Gut Microbiome Project, which includes 2355 hypertensive and 4644 non-hypertensive participants across 14 regions, we identified replicable hypertension-related microbial interactions. Notably, most co-abundances involved non-differential microbes, which were found to correlate with both hypertension severity and hypertension-related microbial metabolic pathways. These findings emphasize the importance of microbial interactions in hypertension pathogenesis and propose a novel perspective for microbiome-based therapeutic strategies.

Keywords

co-abundance / cohort study / gut microbiota / hypertension

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Lu Liu, Qianyi Zhou, Tianbao Xu, Qiufeng Deng, Yuhao Sun, Jingxiang Fu, Muxuan Chen, Xiaojiao Chen, Zhenchao Ma, Quanbin Dong, Beining Ma, Yuwen Jiao, Yan Zhou, Tingting Wu, Huayiyang Zou, Jing Shi, Yifeng Wang, Yanhui Sheng, Liming Tang, Chao Zheng, Wei Wu, Wenjun Ma, Wei Sun, Shixian Hu, Hongwei Zhou, Yan He, Xiangqing Kong, Lianmin Chen. Non-differential gut microbes contribute to hypertension and its severity through co-abundances: A multi-regional prospective cohort study. iMeta, 2025, 4(1): e268 DOI:10.1002/imt2.268

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References

[1]

Xie, Xinfang, Emily Atkins, Jicheng Lv, Alexander Bennett, Bruce Neal, Toshiharu Ninomiya, Mark Woodward, et al. 2016. “Effects of Intensive Blood Pressure Lowering on Cardiovascular and Renal Outcomes: Updated Systematic Review and Meta-Analysis.” The Lancet 387: 435-443. https://doi.org/10.1016/S0140-6736(15)00805-3

[2]

Bundy, Joshua D., Changwei Li, Patrick Stuchlik, Xiaoqing Bu, Tanika N. Kelly, Katherine T. Mills, Hua He, et al. 2017. “Systolic Blood Pressure Reduction and Risk of Cardiovascular Disease and Mortality: A Systematic Review and Network Meta-Analysis.” JAMA Cardiology 2: 775-781. https://doi.org/10.1001/jamacardio.2017.1421

[3]

Lewington Sarah, Robert Clarke, Nawab Qizilbash, Richard Peto, Rory Collins; Prospective Studies Collaboration. 2002. “Age-Specific Relevance of Usual Blood Pressure to Vascular Mortality: A Meta-Analysis of Individual Data for One Million Adults in 61 Prospective Studies.” The Lancet 360: 1903-1913. https://doi.org/10.1016/S0140-6736(02)11911-8

[4]

Zhou, Bin, Rodrigo M. Carrillo-Larco, Goodarz Danaei, Leanne M. Riley, Christopher J. Paciorek, Gretchen A. Stevens, Edward W. Gregg, et al. 2021. “Worldwide Trends in Hypertension Prevalence and Progress in Treatment and Control from 1990 to 2019: A Pooled Analysis of 1201 Population-Representative Studies With 104 Million Participants.” The Lancet 398: 957-980. https://doi.org/10.1016/S0140-6736(21)01330-1

[5]

Olsen, Michael H., Sonia Y. Angell, Samira Asma, Pierre Boutouyrie, Dylan Burger, Julio A. Chirinos, Albertino Damasceno, et al. 2016. “A Call to Action and a Lifecourse Strategy to Address the Global Burden of Raised Blood Pressure on Current and Future Generations: The Lancet Commission on Hypertension.” The Lancet 388: 2665-2712. https://doi.org/10.1016/S0140-6736(16)31134-5

[6]

Marques, Francine Z., Charles R. Mackay, and David M. Kaye. 2018. “Beyond Gut Feelings: How the Gut Microbiota Regulates Blood Pressure.” Nature Reviews Cardiology 15: 20-32. https://doi.org/10.1038/nrcardio.2017.120

[7]

O'Donnell, Joanne A., Tenghao Zheng, Guillaume Meric, and Francine Z. Marques. 2023. “The Gut Microbiome and Hypertension.” Nature Reviews Nephrology 19: 153-167. https://doi.org/10.1038/s41581-022-00654-0

[8]

Li, Jing, Fangqing Zhao, Yidan Wang, Junru Chen, Jie Tao, Gang Tian, Shouling Wu, et al. 2017. “Gut Microbiota Dysbiosis Contributes to the Development of Hypertension.” Microbiome 5: 14. https://doi.org/10.1186/s40168-016-0222-x

[9]

Yang, Tao, Monica M. Santisteban, Vermali Rodriguez, Eric Li, Niousha Ahmari, Jessica Marulanda Carvajal, Mojgan Zadeh, et al. 2015. “Gut Dysbiosis Is Linked to Hypertension.” Hypertension 65: 1331-1340. https://doi.org/10.1161/HYPERTENSIONAHA.115.05315

[10]

Kim, Seungbum, Ruby Goel, Ashok Kumar, Yanfei Qi, Gil Lobaton, Koji Hosaka, Mohammed, Mohammed, et al. 2018. “Imbalance of Gut Microbiome and Intestinal Epithelial Barrier Dysfunction in Patients With High Blood Pressure.” Clinical Science 132: 701-718. https://doi.org/10.1042/CS20180087

[11]

Huart, Justine, Justine Leenders, Bernard Taminiau, Julie Descy, Annie Saint-Remy, Georges Daube, Jean-Marie Krzesinski, et al. 2019. “Gut Microbiota and Fecal Levels of Short-Chain Fatty Acids Differ Upon 24-hour Blood Pressure Levels in Men.” Hypertension 74: 1005-1013. https://doi.org/10.1161/HYPERTENSIONAHA.118.12588

[12]

Sun, Shan, Anju Lulla, Michael Sioda, Kathryn Winglee, Michael C. Wu, David R. Jacobs, James M. Shikany, et al. 2019. “Gut Microbiota Composition and Blood Pressure.” Hypertension 73: 998-1006. https://doi.org/10.1161/HYPERTENSIONAHA.118.12109

[13]

Silveira-Nunes, Gabriela, Danielle Fernandes Durso, Luiz Roberto Alves de Oliveira, Eloisa Helena Medeiros Cunha, Tatiani Uceli Maioli, Angélica Thomaz Vieira, Elaine Speziali, et al. 2020. “Hypertension Is Associated With Intestinal Microbiota Dysbiosis and Inflammation in a Brazilian Population.” Frontiers in Pharmacology 11:258. https://doi.org/10.3389/fphar.2020.00258

[14]

Karbach, Susanne H., Tanja Schönfelder, Ines Brandão, Eivor Wilms, Nives Hörmann, Sven Jäckel, and Rebecca Schüler, et al. 2016. “Gut Microbiota Promote Angiotensin II-Induced Arterial Hypertension and Vascular Dysfunction.” Journal of the American Heart Association 5: e003698. https://doi.org/10.1161/JAHA.116.003698

[15]

Joe, Bina, Cameron G. McCarthy, Jonnelle M. Edwards, Xi Cheng, Saroj Chakraborty, Tao Yang, Rachel M. Golonka, et al. 2020. “Microbiota Introduced to Germ-Free Rats Restores Vascular Contractility and Blood Pressure.” Hypertension 76: 1847-1855. https://doi.org/10.1161/HYPERTENSIONAHA.120.15939

[16]

Yan, Qiulong, Yifang Gu, Xiangchun Li, Wei Yang, Liqiu Jia, Changming Chen, Xiuyan Han, et al. 2017. “Alterations of the Gut Microbiome in Hypertension.” Frontiers in Cellular and Infection Microbiology 7:381. https://doi.org/10.3389/fcimb.2017.00381

[17]

Walejko, Jacquelyn M., Seungbum Kim, Ruby Goel, Eileen M. Handberg, Elaine M. Richards, Carl J. Pepine, Mohan K. Raizada. 2018. “Gut Microbiota and Serum Metabolite Differences in African Americans and White Americans With High Blood Pressure.” International Journal of Cardiology 271: 336-339. https://doi.org/10.1016/j.ijcard.2018.04.074

[18]

Wang, Yifeng, Quanbin Dong, Shixian Hu, Huayiyang Zou, Tingting Wu, Jing Shi, Haifeng Zhang, et al. 2022. “Decoding Microbial Genomes to Understand Their Functional Roles in Human Complex Diseases.” iMeta 1:e14. https://doi.org/10.1002/imt2.14

[19]

Sender, Ron, Shai Fuchs, and Ron Milo. 2016. “Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans.” Cell 164: 337-340. https://doi.org/10.1016/j.cell.2016.01.013

[20]

Shetty, Sudarshan A., Floor Hugenholtz, Leo Lahti, Hauke Smidt, and Willem M. de Vos. 2017. “Intestinal Microbiome Landscaping: Insight in Community Assemblage and Implications for Microbial Modulation Strategies.” FEMS Microbiology Reviews 41: 182-199. https://doi.org/10.1093/femsre/fuw045

[21]

Lozupone, Catherine A., Jesse I. Stombaugh, Jeffrey I. Gordon, Janet K. Jansson, and Rob Knight. 2012. “Diversity, Stability and Resilience of the Human Gut Microbiota.” Nature 489: 220-230. https://doi.org/10.1038/nature11550

[22]

Faust, Karoline, and Jeroen Raes. 2012. “Microbial Interactions: From Networks to Models.” Nature Reviews Microbiology 10: 538-550. https://doi.org/10.1038/nrmicro2832

[23]

Kern, Lara, Suhaib K. Abdeen, Aleksandra A. Kolodziejczyk, and Eran Elinav. 2021. “Commensal Inter-Bacterial Interactions Shaping the Microbiota.” Current Opinion in Microbiology 63: 158-171. https://doi.org/10.1016/j.mib.2021.07.011

[24]

Culp, Elizabeth J., and Andrew L. Goodman. 2023. “Cross-Feeding in the Gut Microbiome: Ecology and Mechanisms.” Cell Host & Microbe 31: 485-499. https://doi.org/10.1016/j.chom.2023.03.016

[25]

Chen, Lianmin, Valerie Collij, Martin Jaeger, Inge C. L. van den Munckhof, Arnau Vich Vila, Alexander Kurilshikov, Ranko Gacesa, et al. 2020. “Gut Microbial Co-Abundance Networks Show Specificity in Inflammatory Bowel Disease and Obesity.” Nature Communications 11: 4018. https://doi.org/10.1038/s41467-020-17840-y

[26]

Flemer, Burkhardt, Denise B. Lynch, Jillian M. R. Brown, Ian B. Jeffery, Feargal J. Ryan, Marcus J. Claesson, Micheal O'Riordain, Fergus Shanahan, and Paul W. O'Toole. 2017. “Tumour-Associated and Non-Tumour-Associated Microbiota in Colorectal Cancer.” Gut 66: 633-643. https://doi.org/10.1136/gutjnl-2015-309595

[27]

Wang, Jinfeng, Jiayong Zheng, Wenyu Shi, Nan Du, Xiaomin Xu, Yanming Zhang, Peifeng Ji, et al. 2018. “Dysbiosis of Maternal and Neonatal Microbiota Associated With Gestational Diabetes Mellitus.” Gut 67: 1614-1625. https://doi.org/10.1136/gutjnl-2018-315988

[28]

Wu, Dingfeng, Lei Liu, Na Jiao, Yida Zhang, Li Yang, Chuan Tian, Ping Lan, et al. 2022. “Targeting Keystone Species Helps Restore the Dysbiosis of Butyrate-Producing Bacteria in Nonalcoholic Fatty Liver Disease.” iMeta 1:e61. https://doi.org/10.1002/imt2.61

[29]

Gevers, Dirk, Subra Kugathasan, Lee A. Denson, Yoshiki Vázquez-Baeza, Will Van Treuren, Boyu Ren, Emma Schwager, et al. 2014. “The Treatment-Naive Microbiome in New-Onset Crohn's Disease.” Cell Host & Microbe 15: 382-392. https://doi.org/10.1016/j.chom.2014.02.005

[30]

Yilmaz, Bahtiyar, Pascal Juillerat, Ove Øyås, Charlotte Ramon, Francisco Damian Bravo, Yannick Franc, Nicolas Fournier, et al. 2019. “Microbial Network Disturbances in Relapsing Refractory Crohn's Disease.” Nature Medicine 25: 323-336. https://doi.org/10.1038/s41591-018-0308-z

[31]

Shen, Yizhao, Yan Li, Tingting Wu, Quanbin Dong, Qiufeng Deng, Lu Liu, Yanfei Guo, et al. 2024. “Early Microbial Intervention Reshapes Phenotypes of Newborn Bos Taurus Through Metabolic Regulations.” GigaScience 13:giad118. https://doi.org/10.1093/gigascience/giad118

[32]

He, Yan, Wei Wu, Hui-Min Zheng, Pan Li, Daniel McDonald, Hua-Fang Sheng, Mu-Xuan Chen, et al. 2018. “Regional Variation Limits Applications of Healthy Gut Microbiome Reference Ranges and Disease Models.” Nature Medicine 24: 1532-1535. https://doi.org/10.1038/s41591-018-0164-x

[33]

Wang, Jun, Alexander Kurilshikov, Djawad Radjabzadeh, Williams Turpin, Kenneth Croitoru, Marc Jan Bonder, Matthew A. Jackson, et al. 2018. “Meta-Analysis of Human Genome-Microbiome Association Studies: The MiBioGen Consortium Initiative.” Microbiome 6: 101. https://doi.org/10.1186/s40168-018-0479-3

[34]

Fang, Huaying, Chengcheng Huang, Hongyu Zhao, and Minghua Deng. 2015. “CCLasso: Correlation Inference for Compositional Data Through Lasso.” Bioinformatics 31: 3172-3180. https://doi.org/10.1093/bioinformatics/btv349

[35]

Friedman, Jonathan, and Eric J. Alm. 2012. “Inferring Correlation Networks From Genomic Survey Data.” PLOS Computational Biology 8: e1002687. https://doi.org/10.1371/journal.pcbi.1002687

[36]

Liu, Yi-Hsueh, Po Peng, Wei-Chun Hung, Ping-Hsun Wu, Cheng-Yuan Kao, Pei-Yu Wu, Jiun-Chi Huang, et al. 2023. “Comparative Gut Microbiome Differences Between High and Low Aortic Arch Calcification Score in Patients With Chronic Diseases.” International Journal of Molecular Sciences 24:5673. https://doi.org/10.3390/ijms24065673

[37]

Calderón-Pérez, Lorena, Maria José Gosalbes, Silvia Yuste, Rosa M. Valls, Anna Pedret, Elisabet Llauradó, Nuria Jimenez-Hernandez, et al. 2020. “Gut Metagenomic and Short Chain Fatty Acids Signature in Hypertension: A Cross-Sectional Study.” Scientific Reports 10: 6436. https://doi.org/10.1038/s41598-020-63475-w

[38]

Calderón-Pérez, Lorena, Elisabet Llauradó, Judit Companys, Laura Pla-Pagà, Anna Pedret, Laura Rubió, Maria José Gosalbes, et al. 2021. “Interplay Between Dietary Phenolic Compound Intake and the Human Gut Microbiome in Hypertension: A Cross-Sectional Study.” Food Chemistry 344:128567. https://doi.org/10.1016/j.foodchem.2020.128567

[39]

Gómez-Contreras, Aldo, Talia Franco-Ávila, Lluïsa Miró, M. Emília Juan, Miquel Moretó, and Joana M. Planas. 2023. “Dietary Intake of Table Olives Exerts Antihypertensive Effects in Association With Changes in Gut Microbiota in Spontaneously Hypertensive Rats.” Food & Function 14: 2793-2806. https://doi.org/10.1039/D2FO02928F

[40]

Pang, Shifu, Xiaodong Chen, Zhilong Lu, Lili Meng, Yu Huang, Xiuqi Yu, Lianfei Huang, et al. 2023. “Longevity of Centenarians Is Reflected by the Gut Microbiome With Youth-Associated Signatures.” Nature Aging 3: 436-449. https://doi.org/10.1038/s43587-023-00389-y

[41]

Dinakis, Evany, Michael Nakai, Paul Gill, Rosilene Ribeiro, Stephanie Yiallourou, Yusuke Sata, Jane Muir, et al. 2022. “Association Between the Gut Microbiome and Their Metabolites With Human Blood Pressure Variability.” Hypertension 79: 1690-1701. https://doi.org/10.1161/HYPERTENSIONAHA.122.19350

[42]

Mancia, Giuseppea, Kreutz Reinholdb, Brunström Mattiasc, Burnier Micheld, Grassi Guidoe, Januszewicz Andrzejf, et al. 2023. “2023 ESH Guidelines for the Management of Arterial Hypertension the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension: Endorsed by the International Society of Hypertension (ISH) and the European Renal Association (ERA).” Journal of Hypertension 41: 1874-2071. https://doi.org/10.1097/HJH.0000000000003480

[43]

Steinberg, James P., and Eileen M. Burd. 2015. “238 - Other Gram-Negative and Gram-Variable Bacilli.” Mandell, Douglas, and Bennett's Principles and Practice of Infectious Diseases 2: 2667-2683.e4. https://doi.org/10.1016/B978-1-4557-4801-3.00238-1

[44]

Ryan, Michael P., Ludmila Sevjahova, Rachel Gorman, and Sandra White. 2022. “The Emergence of the Genus Comamonas as Important Opportunistic Pathogens.” Pathogens 11: 1032. https://doi.org/10.3390/pathogens11091032

[45]

da Silva, Gabriela, Mirelly da Silva, Déborah Nascimento, Ellen Lima Silva, Fabíola Gouvêa, Luiz de França Lopes, Alice Araújo, Kelli Ferraz Pereira, and Thyago de Queiroz. 2021. “Nitric Oxide as a Central Molecule in Hypertension: Focus on the Vasorelaxant Activity of New Nitric Oxide Donors.” Biology 10: 1041. https://doi.org/10.3390/biology10101041

[46]

Moncada, S., R. M. Palmer, and E. A. Higgs. 1991. “Nitric Oxide: Physiology, Pathophysiology, and Pharmacology.” Pharmacological Reviews 43: 109. http://pharmrev.aspetjournals.org/content/43/2/109.abstract

[47]

Lundberg, Jon O., Eddie Weitzberg, Jeff A. Cole, and Nigel Benjamin. 2004. “Nitrate, Bacteria and Human Health.” Nature Reviews Microbiology 2: 593-602. https://doi.org/10.1038/nrmicro929

[48]

Perusquía, Mercedes. 2022. “Androgens and Non-Genomic Vascular Responses in Hypertension.” Biochemical Pharmacology 203:115200. https://doi.org/10.1016/j.bcp.2022.115200

[49]

Paeslack, Nadja, Maximilian Mimmler, Stefanie Becker, Zhenling Gao, My Phung Khuu, Amrit Mann, Frano Malinarich, Tommy Regen, and Christoph Reinhardt. 2022. “Microbiota-Derived Tryptophan Metabolites in Vascular Inflammation and Cardiovascular Disease.” Amino Acids 54: 1339-1356. https://doi.org/10.1007/s00726-022-03161-5

[50]

Hoffer, L. John. 2004. “Homocysteine Remethylation and Trans-Sulfuration.” Metabolism 53: 1480-1483. https://doi.org/10.1016/j.metabol.2004.06.003

[51]

Sutton-Tyrrell, Kim, Andrew Bostom, Jacob Selhub, and Charnita Zeigler-Johnson. 1997. “High Homocysteine Levels Are Independently Related to Isolated Systolic Hypertension in Older Adults.” Circulation 96: 1745-1749. https://doi.org/10.1161/01.CIR.96.6.1745

[52]

Zhou, Yanfen, Lianyou Zhao, Zhimin Zhang, and Xuanhao Lu. 2015. “Protective Effect of Enalapril Against Methionine-Enriched Diet-Induced Hypertension: Role of Endoplasmic Reticulum and Oxidative Stress.” BioMed Research International 2015: 724876. https://doi.org/10.1155/2015/724876

[53]

Zhong, Fade, Li Zhuang, Ying Wang, and Youli Ma. 2017. “Homocysteine Levels and Risk of Essential Hypertension: A Meta-Analysis of Published Epidemiological Studies.” Clinical and Experimental Hypertension 39: 160-167. https://doi.org/10.1080/10641963.2016.1226888

[54]

Wu, Dong-Feng, Rui-Xing Yin, and Jin-Long Deng. 2024. “Homocysteine, Hyperhomocysteinemia, and H-Type Hypertension.” European Journal of Preventive Cardiology 31: 1092-1103. https://doi.org/10.1093/eurjpc/zwae022

[55]

Reeves, P. P., and L. Wang. 2002. “Genomic Organization of LPS-Specific Loci.” Current Topics in Microbiology and Immunology 264(1): 109-135. https://doi.org/10.1007/978-3-662-09217-0_7

[56]

Reeves, Peter R. 1992. “Variation in O-Antigens, Niche-Specific Selection and Bacterial Populations.” FEMS Microbiology Letters 100: 509-516. https://doi.org/10.1111/j.1574-6968.1992.tb05748.x

[57]

Santisteban, Monica M., Yanfei Qi, Jasenka Zubcevic, Seungbum Kim, Tao Yang, Vinayak Shenoy, Colleen T. Cole-Jeffrey, et al. 2017. “Hypertension-Linked Pathophysiological Alterations in the Gut.” Circulation Research 120: 312-323. https://doi.org/10.1161/CIRCRESAHA.116.309006

[58]

Druml, W. 2018. “Intestinaler Crosstalk.” Medizinische Klinik - Intensivmedizin und Notfallmedizin 113: 470-477. https://doi.org/10.1007/s00063-018-0475-1

[59]

Li, Cao, Ping Xiao, Da Lin, Da Zhong, Hao-Jie Zhang, Ran Zhao, Zhi-gang He, and Xing-Xiang . 2021. “Risk Factors for Intestinal Barrier Impairment in Patients With Essential Hypertension.” Frontiers in Medicine 7: 543698. https://doi.org/10.3389/fmed.2020.543698

[60]

Ghosh, Siddhartha S., Jing Wang, Paul J. Yannie, and Shobha Ghosh. 2020. “Intestinal Barrier Dysfunction, LPS Translocation, and Disease Development.” Journal of the Endocrine Society 4: bvz039. https://doi.org/10.1210/jendso/bvz039

[61]

Ramakrishna, Balakrishnan S. 2013. “Role of the Gut Microbiota in Human Nutrition and Metabolism.” Journal of Gastroenterology and Hepatology 28: 9-17. https://doi.org/10.1111/jgh.12294

[62]

Yang, Jiejie, Jiaxin Shi, Luhua Jiang, Shuangfei Zhang, Fanrui Wei, Ziwen Guo, Kewei Li, et al. 2023. “Co-Occurrence Network in Core Microorganisms Driving the Transformation of Phosphorous Fractionations During Phosphorus Recovery Product Used as Soil Fertilizer.” Science of The Total Environment 871:162081. https://doi.org/10.1016/j.scitotenv.2023.162081

[63]

Ji, Niuniu, Di Liang, Lindsay V. Clark, Erik J. Sacks, and Angela D. Kent. 2023. “Host Genetic Variation Drives the Differentiation in the Ecological Role of the Native Miscanthus Root-Associated Microbiome.” Microbiome 11: 216. https://doi.org/10.1186/s40168-023-01646-3

[64]

Sen, Utpal, Paras K. Mishra, Neetu Tyagi, and Suresh C. Tyagi. 2010. “Homocysteine to Hydrogen Sulfide or Hypertension.” Cell Biochemistry and Biophysics 57: 49-58. https://doi.org/10.1007/s12013-010-9079-y

[65]

Chaturvedi, Pankaj, Pradip K. Kamat, Anuradha Kalani, Anastasia Familtseva, and Suresh C. Tyagi. 2016. “High Methionine Diet Poses Cardiac Threat: A Molecular Insight.” Journal of Cellular Physiology 231: 1554-1561. https://doi.org/10.1002/jcp.25247

[66]

Sun, Wei, Yifeng Wang, Haifeng Zhang, Yanhui Sheng, Jingyi Fan, Mingxia Gu, Yunfan Tian, et al. 2022. “ehypertension: A Prospective Longitudinal Multi-Omics Essential Hypertension Cohort.” iMeta 1:e22. https://doi.org/10.1002/imt2.22

[67]

Jiao, Yuwen, Jiaming Xue, Shuai Chen, Wei Sun, P. B. S. Cohort Study Xiangqing Kong, Lianmin Chen, and Liming Tang. 2023. “PBS: A Prospective Longitudinal Multi-Omics Bariatric Surgery Cohort.” Precision Clinical Medicine 6: pbad032. https://doi.org/10.1093/pcmedi/pbad032

[68]

Ren, Hui-Ying, Ying Lv, Bei-Ning Ma, Chang Gao, Hong-Mei Yuan, Hai-Hong Meng, Zheng-Qian Cao, et al. 2024. “Cohort Profile: TRacing Etiology of Non-Communicable Diseases (TREND): Rationale, Progress and Perspective.” Phenomics 4: 6. https://doi.org/10.1007/s43657-024-00196-4

[69]

Huang, Pan, Quanbin Dong, Yifeng Wang, Yunfan Tian, Shunhe Wang, Chengcheng Zhang, Leilei Yu, et al. 2024. “Gut Microbial Genomes With Paired Isolates From China Illustrate Probiotic and Cardiometabolic Effects.” Cell Genomics 4:100559. https://doi.org/10.1016/j.xgen.2024.100559

[70]

Douglas, Gavin M., Vincent J. Maffei, Jesse R. Zaneveld, Svetlana N. Yurgel, James R. Brown, Christopher M. Taylor, Curtis Huttenhower, and Morgan G. I. Langille. 2020. “PICRUSt2 for Prediction of Metagenome Functions.” Nature Biotechnology 38: 685-688. https://doi.org/10.1038/s41587-020-0548-6

[71]

Bolyen, Evan, Jai Ram Rideout, Matthew R. Dillon, Nicholas A. Bokulich, Christian C. Abnet, Gabriel A. Al-Ghalith, Harriet Alexander, et al. 2019. “Reproducible, Interactive, Scalable and Extensible Microbiome Data Science Using QIIME 2.” Nature Biotechnology 37: 852-857. https://doi.org/10.1038/s41587-019-0209-9

[72]

Balduzzi, Sara, Gerta Rücker, and Guido Schwarzer. 2019. “How to Perform a Meta-Analysis With R: A Practical Tutorial.” BMJ Mental Health 22: 153. https://doi.org/10.1136/ebmental-2019-300117

[73]

Higgins, J. P. T., and Douglas G. Altman. 2003. “Measuring Inconsistency in Meta-Analyses.” BMJ 327: 557-560. https://doi.org/10.1136/bmj.327.7414.557

[74]

Juliane, Schafer, Rainer Opgen-Rhein, Verena Zuber, Miika Ahdesmaki, A. Pedro Duarte Silva, and Korbinian Strimmer. 2021. “corpcor: Efficient Estimation of Covariance and (Partial) Correlation.” https://CRAN.R-project.org/package=corpcor

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