Development of colorectal cancer detection and prediction based on gut microbiome big-data

Sun, Yangyang; Fan, Xiaoqian; Jin-yuan, Zhao

doi:10.1016/j.medmic.2022.100053

Cited by 3 publications

(2 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies include the use of microbiome-derived data to predict the prognosis of colorectal cancer, pancreatic cancer, and advanced fibrosis in human nonalcoholic fatty liver disease (NAFLD) (Loomba et al 2017, Nagata et al 2022, Oh et al 2020, Sun et al 2022, Thomas et al 2019. Using a combination of microbial species information and gene families from more than 969 fecal metagenomes across five studies, Thomas et al (2019) identified microbial signatures that were predictive for colorectal cancer.…”

Section: Feature Selection and Machine Learning Approaches For Predic...mentioning

confidence: 99%

Predicting Personalized Responses to Dietary Fiber Interventions: Opportunities for Modulation of the Gut Microbiome to Improve Health

Kok

Rose

Hutkins

2023

Annu. Rev. Food Sci. Technol.

View full text Add to dashboard Cite

Inadequate dietary fiber consumption has become common across industrialized nations, accompanied by changes in gut microbial composition and a dramatic increase in chronic metabolic diseases. The human gut microbiome harbors genes that are required for the digestion of fiber, resulting in the production of end products that mediate gastrointestinal and systemic benefits to the host. Thus, the use of fiber interventions has attracted increasing interest as a strategy to modulate the gut microbiome and improve human health. However, considerable interindividual differences in gut microbial composition have resulted in variable responses toward fiber interventions. This variability has led to observed nonresponder individuals and highlights the need for personalized approaches to effectively redirect the gut ecosystem. In this review, we summarize strategies used to address the responder and nonresponder phenomenon in dietary fiber interventions and propose a targeted approach to identify predictive features based on knowledge of fiber metabolism and machine learning approaches. Expected final online publication date for the Annual Review of Food Science and Technology, Volume 14 is March 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

show abstract

Section: Feature Selection and Machine Learning Approaches For Predic...mentioning

confidence: 99%

Predicting Personalized Responses to Dietary Fiber Interventions: Opportunities for Modulation of the Gut Microbiome to Improve Health

Kok

Rose

Hutkins

2023

Annu. Rev. Food Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…As a result, for many cancers, an early diagnosis may have a significant impact on the treatment process. When colon cancer is detected early, more than 90% of patients live for five years or more [11]. Therefore, there is a never-ending search for low-cost, simple-to-use, rapid, and sensitive diagnostic procedures that may be employed on a large section of the population regularly [12].…”

Section: Introductionmentioning

confidence: 99%

Regulating the Electron Depletion Layer of Au/V2O5/Ag Thin Film Sensor for Breath Acetone as Potential Volatile Biomarker

et al. 2023

View full text Add to dashboard Cite

Human exhaled breath has been utilized to identify biomarkers for diseases such as diabetes and cancer. The existence of these illnesses is indicated by a rise in the level of acetone in the breath. The development of sensing devices capable of identifying the onset of lung cancer or diabetes is critical for the successful monitoring and treatment of these diseases. The goal of this research is to prepare a novel breath acetone sensor made of Ag NPs/V2O5 thin film/Au NPs by combining DC/RF sputtering and post-annealing as synthesis methods. The produced material was characterized using X-ray diffraction (XRD), UV-Vis, Raman, and atomic force microscopy (AFM). The results revealed that the sensitivity to 50 ppm acetone of the Ag NPs/V2O5 thin film/Au NPs sensor was 96%, which is nearly twice and four times greater than the sensitivity of Ag NPs/V2O5 and pristine V2O5, respectively. This increase in sensitivity can be attributed to the engineering of the depletion layer of V2O5 through the double activation of the V2O5 thin films with uniform distribution of Au and Ag NPs that have different work function values.

show abstract

Alterations of the Gut Microbiome and Metabolome Following: A Opportunity for Early Detection of Colorectal Cancer

Modarres,

Habibi,

Pashaei

et al. 2025

CCTR

View full text Add to dashboard Cite

Colorectal cancer (CRC) is a commonly diagnosed cancer responsible for numerous deaths worldwide. In recent decades, technological advances implicated in considering the molecular pathways underlying CRC pathogenesis. Several investigations have identified various mechanisms involved in CRC and have paved the way for new therapeutics and early diagnosis. Gut microbiome play a crucial role in intestinal inflammation and can be associated with colitis colorectal cancer. In this review, we narrated the role of the microbiome population and their metabolome profile as a new screening method for early detection of CRC.

show abstract

Development of colorectal cancer detection and prediction based on gut microbiome big-data

Cited by 3 publications

References 59 publications

Predicting Personalized Responses to Dietary Fiber Interventions: Opportunities for Modulation of the Gut Microbiome to Improve Health

Predicting Personalized Responses to Dietary Fiber Interventions: Opportunities for Modulation of the Gut Microbiome to Improve Health

Regulating the Electron Depletion Layer of Au/V2O5/Ag Thin Film Sensor for Breath Acetone as Potential Volatile Biomarker

Alterations of the Gut Microbiome and Metabolome Following: A Opportunity for Early Detection of Colorectal Cancer

Contact Info

Product

Resources

About