Xiaodong Guo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Xiaodong Guo has a total of 24 co-authors. Here are the top co-authors by number of shared publications:
Jingxia Wang
Department of Oncology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
2 shared publicationsNan Li
Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
2 shared publications- Xiongwen Zhang
Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
2 shared publications Xuan Liu
Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
2 shared publications- Xuan Liu
Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
2 shared publications - Gang Jin
Department of Pancreatic Surgery, Changhai Hospital, The Naval Medical University, Shanghai, China
1 shared publication
Latest Publications
- 17 October 2025
- Published by Elsevier in Toxicology and Applied Pharmacology
- Vol. 505, 117604
Corylifol A ameliorates pancreatic cancer-associated cachexia by targeting TAOK3 in pancreatic cancer cells and targeting TAOK1 in skeletal muscle cells
- 17 October 2025
- Published by Elsevier in Toxicology and Applied Pharmacology
- Vol. 505, 117604
Corylifol A ameliorates pancreatic cancer-associated cachexia by targeting TAOK3 in pancreatic cancer cells and targeting TAOK1 in skeletal muscle cells
- Open Access
- 17 September 2024
- Published by Springer Nature in Discover Medicine
- Vol. 1 (1) , 1-13
Combination therapy of corylifol A and anamorelin attenuates cachexia by decreasing pro-inflammatory cytokines, inhibiting lipolysis and increasing food intake in a murine colon cancer model
- 17 September 2024
- Published by Springer Nature in Discover Medicine
- Vol. 1 (1) , 1-13
Open AccessCombination therapy of corylifol A and anamorelin attenuates cachexia by decreasing pro-inflammatory cytokines, inhibiting lipolysis and increasing food intake in a murine colon cancer model
- 19 May 2024
- Published by Elsevier in Clinica Chimica Acta
- Vol. 560, 119732
Gut microbiota and serum metabolite signatures along the colorectal adenoma-carcinoma sequence: Implications for early detection and intervention
- 19 May 2024
- Published by Elsevier in Clinica Chimica Acta
- Vol. 560, 119732
Gut microbiota and serum metabolite signatures along the colorectal adenoma-carcinoma sequence: Implications for early detection and intervention
- Open Access
- 1 January 2022
- Published by Ivyspring International Publisher in Journal of Cancer
- Vol. 13 (5) , 1555-1564
Integrative analysis of metabolome and gut microbiota in Patients with pancreatic ductal adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant tumour with a poor prognosis and a high mortality rate. It is of great significance to explore sensitive or specific biomarkers for early diagnosis and prognosis. We first examined the metabolome and gut microbiota of resectable and unresectable PDAC patients to comprehensively investigate the characteristics of PDAC at different stages of progression. At the genus level, we found that the relative abundances of Alistipes, Anaerostipes, Faecalibacterium and Parvimonas were reduced in unresectable PDAC patients, whereas Pseudonocardia, Cloacibacterium, Mucispirillum, and Anaerotruncus were increased. Metabolomics analysis showed that the main changed metabolites were amino acids, carnitine derivatives, lipids and fatty acids. ROC analysis showed that Oleic acid, Linoleic acid, Palmitic acid, Linoelaidyl carnitine, 2-Octenedioic acid, 3R, 7R-1,3,7-Octanetriol, LysoPE (P-16:0/0:0) and 3-Hydroxyanthranilic acid had high AUC values (>0.9). Function and network analyses showed that these altered metabolites correlated with NF-kappa B signalling, the FXR/RXR pathway, mitochondrial dysfunction, mTOR signalling and IL-6 signalling. In particular, the abundance of Palmitic acid, Oleic acid, Linoelaidyl carnitine and 2-Octenedioic acid positively correlated with g_Anaerostipes, g_Alistipes, s_indistinctus, s_catus and s_formicigenerans but negatively correlated with g_Cloacibacterium, s_reuteri and s_hathewayi. Meanwhile,We also found that s_catus, s_ formicigenerans, s_ hathewayi, g_ Alistipes, g_ Anaerostipes, PE (22:6 (4Z, 7z, 10z, 13z, 16Z, 19Z)/p-18:1 (11z)), (3R, 7R) - 1,3,7-octanetriol and linoelaidyl carnitine were positively correlated with the survival time of patients.These findings may be helpful for the differentiation of resectable and unresectable PDAC based on changes in intestinal flora and metabolites at different stages of PDAC. This study also provides a strategy for preventing the deterioration of PDAC by regulating the gut microbiota and metabolism.
- 1 January 2022
- Published by Ivyspring International Publisher in Journal of Cancer
- Vol. 13 (5) , 1555-1564
Open AccessIntegrative analysis of metabolome and gut microbiota in Patients with pancreatic ductal adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant tumour with a poor prognosis and a high mortality rate. It is of great significance to explore sensitive or specific biomarkers for early diagnosis and prognosis. We first examined the metabolome and gut microbiota of resectable and unresectable PDAC patients to comprehensively investigate the characteristics of PDAC at different stages of progression. At the genus level, we found that the relative abundances of Alistipes, Anaerostipes, Faecalibacterium and Parvimonas were reduced in unresectable PDAC patients, whereas Pseudonocardia, Cloacibacterium, Mucispirillum, and Anaerotruncus were increased. Metabolomics analysis showed that the main changed metabolites were amino acids, carnitine derivatives, lipids and fatty acids. ROC analysis showed that Oleic acid, Linoleic acid, Palmitic acid, Linoelaidyl carnitine, 2-Octenedioic acid, 3R, 7R-1,3,7-Octanetriol, LysoPE (P-16:0/0:0) and 3-Hydroxyanthranilic acid had high AUC values (>0.9). Function and network analyses showed that these altered metabolites correlated with NF-kappa B signalling, the FXR/RXR pathway, mitochondrial dysfunction, mTOR signalling and IL-6 signalling. In particular, the abundance of Palmitic acid, Oleic acid, Linoelaidyl carnitine and 2-Octenedioic acid positively correlated with g_Anaerostipes, g_Alistipes, s_indistinctus, s_catus and s_formicigenerans but negatively correlated with g_Cloacibacterium, s_reuteri and s_hathewayi. Meanwhile,We also found that s_catus, s_ formicigenerans, s_ hathewayi, g_ Alistipes, g_ Anaerostipes, PE (22:6 (4Z, 7z, 10z, 13z, 16Z, 19Z)/p-18:1 (11z)), (3R, 7R) - 1,3,7-octanetriol and linoelaidyl carnitine were positively correlated with the survival time of patients.These findings may be helpful for the differentiation of resectable and unresectable PDAC based on changes in intestinal flora and metabolites at different stages of PDAC. This study also provides a strategy for preventing the deterioration of PDAC by regulating the gut microbiota and metabolism.