Early disease biomarkers can be found using animal models urine proteomics

Wei, Jing; Gao, Youhe

doi:10.1080/14789450.2021.1937133

Cited by 14 publications

(7 citation statements)

References 77 publications

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“…The liquid phase parameters were acquired in the same way as in the DDA database. The parameters of the mass spectrometry were set as follows: first level full scan at 60,000 resolution, 350-1550 m/z for scan range, followed by a second level scan at 30,000 resolution, 39 screening windows, 30% HCD for collision energy, AGC target of 1e 6 , and 50 ms for maximum injection time. Window calculation: the DDA search results from the library acquisition were sorted into 39 groups based on m/z.…”

Section: Lc-ms/ms Analysismentioning

confidence: 99%

“…There are many factors affecting urine samples, and it is time-consuming to collect samples from early-stage patients, so establishing a mouse model of colorectal cancer minimizes potential interfering factors and allows dynamic monitoring of disease progression and obtaining urine samples prior to pathology or clinical presentation, facilitating the observation of tumor resection and recurrence [6] .…”

Section: Introductionmentioning

confidence: 99%

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Comparison of urine proteomes from tumor-bearing mice with those from tumor-resected mice

Heng

Zhao

Gao

2022

Preprint

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Abstract[Objective]This study focuses on the most important concern of surgeons - whether they resected all of the tumor. Urine can reflect early changes associated with physiological or pathophysiological processes. Based on the above ideas, we conducted experiments to explore changes in the urine proteome between tumor-bearing mice and tumor-resected mice.[Method]The tumor-bearing mouse model was established with MC38 mouse colon cancer cells, and the mice were divided into the healthy control group, complete resection group, and nonresection group. Urine was collected 7 days and 30 days after resection. Liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) was used to identify the urine proteome and then analyze differentially expressed proteins and biological pathways.[Results](1) Seven days after tumor resection, there were 20 differentially expressed proteins that could distinguish between the complete resection group and the nonresection group. The biological process includes circadian rhythm, Notch signaling pathway, leukocyte cell–cell adhesion, and heterophilic cell–cell adhesion via plasma membrane cell adhesion molecules. (2) Thirty days after tumor resection, there were 33 differentially expressed proteins that could distinguish between the complete resection group and the nonresection group. The biological process includes cell adhesion, complement activation, the alternative pathway, the immune system process, and angiogenesis. (3) There was no significant difference between the two groups at 30 days after tumor resection between the complete resection group and the healthy control group.[Conclusion]Changes in the urine proteome can reflect tumors with or without complete resection.

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Section: Lc-ms/ms Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of urine proteomes from tumor-bearing mice with those from tumor-resected mice

Heng

Zhao

Gao

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are many factors affecting urine samples, and it is time-consuming to collect samples from patients with early-stage disease. Therefore, establishing a mouse model of colorectal cancer minimizes potential interfering factors and allows the dynamic monitoring of disease progression and the collection of urine samples prior to pathological or clinical presentation, thereby facilitating research related to tumor resection and recurrence ( Wei & Gao, 2021 ). In these initial stages of urine biomarker research, more comprehensive insight into disease is needed.…”

Section: Introductionmentioning

confidence: 99%

Comparison of urine proteomes from tumor-bearing mice with those from tumor-resected mice

Heng

Zhao

Gao

2023

PeerJ

Self Cite

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Objective This study aimed to address on the most important concern of surgeons—whether to completely resect tumor. Urine can indicate early changes associated with physiological or pathophysiological processes. Based on these ideas, we conducted experiments to explore changes in the urine proteome between tumor-bearing mice and tumor-resected mice. Method The tumor-bearing mouse model was established with MC38 mouse colon cancer cells, and the mice were divided into the control group, tumor-resected group, and tumor-bearing group. Urine was collected 7 and 30 days after tumor resection. Liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) was used to identify the urine proteome, which was analyzed for differentially expressed proteins and functional annotation. Results (1) Seven days after tumor resection, 20 differentially expressed proteins distinguished the tumor-resected group and the tumor-bearing group. The identified biological processes included circadian rhythm, Notch signaling pathway, leukocyte cell–cell adhesion, and heterophilic cell–cell adhesion via plasma membrane cell adhesion molecules. (2) Thirty days after tumor resection, 33 differentially expressed proteins distinguished the tumor-resected group and the tumor-bearing group. The identified biological processes included cell adhesion; complement activation, the alternative pathway; the immune system process; and angiogenesis. (3) The difference in the urine proteome between the tumor-resected group and the healthy control group was smaller 30 days after tumor resection. Conclusion Changes in the urinary proteome can reflect the complete resection of MC38 tumors.

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“…Unlike blood, urine is not subject to homeostatic control and can accumulate small but susceptible changes associated with systemic changes. 12 Urine proteomics has already been applied to various clinical studies, and using animal models for urine protein analysis minimizes the influence of other factors and allows the study of the entire development of the disease, including the pre‐onset phase. Thus, early disease biomarkers can be found using urine proteomics of animal models, even those that occur earlier than pathological and clinical changes.…”

Section: Introductionmentioning

confidence: 99%

Screening for urinary markers predicting hematopoietic stem cell injury induced by busulfan using genetically diverse mice

Sun

Guan

Liu

et al. 2023

Anim Models and Exp Med

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Background Busulfan (BU) is an alkylating agent used as a conditioning agent prior to hematopoietic stem cell (HSC) transplantation as it is known to be cytotoxic to host hematopoietic stem and progenitor cells. The susceptibility of HSCs to BU injury plays an important role in the myeloablative efficacy of BU. Different susceptibilities were demonstrated in genetically diverse (GD) mice in our preliminary research. Methods Three strains of GD mice with different susceptibilities to BU‐induced HSC injury were used for screening biological markers of HSC injury susceptibility in urine. The urine proteins were analyzed using liquid chromatography coupled with tandem mass spectrometry to screen for differentially expressed proteins. Screening for possible biomarkers based on differences in protein expression abundance was validated using enzyme‐linked immunoassay (ELISA). Results Functional analysis showed that the differential proteins were all involved in a series of biological pathways related to cellular senescence, apoptosis, and angiogenesis; whereas the differential proteins of the high‐susceptible strain were enriched for the regulation of bone marrow microenvironment pathways, those of low‐susceptible strain were enriched for the proapoptotic effect of GTPase pathways. Based on protein abundance differences, several urinary proteins that may be indicative of susceptibility were screened, and ELISA validation results showed that angiotensin‐converting enzyme may be a potential biomarker predicting HSC susceptibility for BU conditioning. Conclusions This study indicates that urinary protein levels can reflect differences in susceptibility to BU‐induced HSC injury. Using GD mice to construct genetic difference models will provide preclinical data for screening BU‐related biological markers.

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Early disease biomarkers can be found using animal models urine proteomics

Cited by 14 publications

References 77 publications

Comparison of urine proteomes from tumor-bearing mice with those from tumor-resected mice

Comparison of urine proteomes from tumor-bearing mice with those from tumor-resected mice

Comparison of urine proteomes from tumor-bearing mice with those from tumor-resected mice

Screening for urinary markers predicting hematopoietic stem cell injury induced by busulfan using genetically diverse mice

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