Author

Wentao Ma

Jinan UniversityORCID 0000-0002-4747-1489Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 3 Organism:human· 3 Approach:experimental assay· 2 Assay:metabolomics· 2 Assay:metagenomics· 2 Assay:bulk RNA-seq· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Danni GuoiD· 2 shared Hang YangiD· 2 shared Jingmin ChengiD· 2 shared Dandan Meng· 1 shared Haidong Jia· 1 shared Han Ding· 1 shared Lan MaiD· 1 shared Lan MaiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

Danni GuoORCID

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3 papers

Recent·Most cited

Multi-omics characterization of the skin microbiota reveals the anti-aging roles of Stenotrophomonas maltophilia

Danni Guo, Yuanyuan Chen, Yahong Wu, Jingmin Cheng, Yawen Lin, Wentao Ma, Hang Yang, Lan Ma, Haidong Jia, Xiao Liu

The paper investigates the role of skin microbiota in aging by analyzing metabolomic, metagenomic, and functional data from a cohort with varying aging phenotypes, identifying anti-aging mechanisms of Stenotrophomonas maltophilia.

Microbiome · Jun 3, 2026Peer-reviewedMicrobiology

Harnessing Human Immune Organoid model for Systemic and Comparative Analysis of Clinically Vaccine Adjuvants

Dandan Meng, X F Li, Xiuli Rao, Xiaofen Huang, Han Ding, Qiyu Deng, Li Li, Wentao Ma, Yuan Tao, Xiaohua Feng, Xiao Liu

This study evaluates clinically relevant vaccine adjuvants using a human immune organoid model, identifying AddaSO3 as consistently effective across early and prolonged immune response phases.

bioRxiv · Apr 30, 2026 · PreprintImmunology

Decoding the anti-aging effect of retinol in reshaping the human skin microbiome niches

Minyan Gui, Jingmin Cheng, Xueni Lin, Danni Guo, Qi Zhou, Wentao Ma, Hang Yang, Xueqing Chen, Zhao Liu, Lan Ma, Xin‐Hui Xing, Peng Shu, Xiao Liu

This study investigates how retinol affects the human skin microbiome and its role in retinol's anti-aging effects using phenomics, metagenomics, and metabolomics.

bioRxiv · Jun 26, 2024 · PreprintMicrobiology