Metabolomics for biomedical research / edited by Jerzy Adamski.

Format:

Book

Contributor:

Adamski, Jerzy (Professor of endocrinology)

Language:

English

Subjects (All):

Metabolites.

Genre:

Electronic books.

Physical Description:

1 online resource (268 pages)

Place of Publication:

London : Academicv Press, 2020.

System Details:

text file

Contents:

Intro

Metabolomics for Biomedical Research

Copyright

Contents

Contributors

Preface

Chapter 1: Introduction to metabolomics

1. What is metabolomics?

2. Flow chart of metabolomic research

2.1. Scientific question

2.2. Study design: General aspects

2.3. Study design: Pilot study and power calculation

2.4. Study design: Sample identity

2.5. Study design: Preanalytics

2.6. Study design: Sample matrix

2.7. Study design: Confounders

2.8. Study design: Time schedule

2.9. Study design: Randomization

2.10. Study design: Budgeting and resources

2.11. Study design: Contingency plan

2.12. Study design: Legal aspects

2.13. Study design: Governance

2.14. Study design: Replication

2.15. Analytics

2.16. Data validation

2.17. Data release

3. Future trends

3.1. Standardization

3.2. Coverage and speed

3.3. Accessibility

3.4. Mechanisms of disease

3.5. Biomarkers

Acknowledgments

References

Chapter 2: Confounders in metabolomics

1. Introduction to the confounder concept

2. Important confounders in metabolomics

2.1. Genetic background and ethnicity

2.2. Sex

2.3. Age

2.4. Nutrition

3. Body mass index

3.1. Physical activity

3.2. Alcohol

3.3. Smoking

3.4. Stress

3.5. Circadian rhythm

3.6. Hormonal status

3.7. Medication

3.8. Lifestyle

4. Disease

5. Consequences for study design

6. Future trends

Chapter 3: Pre-analytics in biomedical metabolomics

1. Introduction

2. Principles to be considered before the collection of body fluids for biomedical metabolomics

2.1. Patients instructions and sophisticated questionaries can avoid outliers

Points to be considered before sample collection

Suggestions of choice for additional points in a study questionnaire

2.1.1. Control groups: Undiagnosed, asymptomatic diseases of apparently healthy subjects can bias metabolomics findings

2.2. Sample collectors for blood and urine in biomedical metabolomics studies

2.2.1. Blood collection tubes are potential sources of chemical noise disturbing metabolomics analysis

2.2.2. Additives in plasma blood collection tubes which can be used and which should be avoided

2.2.3. Additives in serum blood collection tubes may lead to chemical noise

2.2.4. Dried blood spot metabolomics: Stability of the detected mixture of metabolites from erythrocytes, leukocytes, thr ...

2.2.5. Urine cups and containers: Pretests are imperative to avoid analytical problems

2.3. Animal studies: Some pre-analytical characteristics are different from human biomedical metabolomics

3. Collection, handling, and storage of body fluids for metabolomics investigations

3.1. Blood

3.1.1. Handling of whole blood can greatly affect the sample quality and the metabolome of plasma and serum

Plasma: Time and temperature until plasma separation is crucial

Notes:

Print version record.

Serum: The coagulation process must be tightly controlled

Other Format:

Print version: Adamski, Jerzy. Metabolomics for Biomedical Research.

ISBN:

9780128127858

0128127856

OCLC:

1147277549

Access Restriction:

Restricted for use by site license.