Plasma Proteins and Health Insights
New study explores plasma proteins' impact on health across diverse populations.
Zhengming Chen, A. Iona, B. Wang, J. Clarke, K. Chan, M. G. Kakkoura, C. Clarke, N. Wright, P. Yao, M. Mazidi, P. K. Im, M. Rahmati, C. Kartsonaki, S. Morris, H. Fry, I. Y. Millwood, R. G. Walters, H. Du, L. Yang, D. Avery, D. V. Schmidt, F. Li, C. Yu, D. Sun, J. Lv, M. Hill, L. Li, R. Clarke, D. A. Bennett, China Kadoorie Biobank Collaborative Group
― 5 min read
Table of Contents
Plasma Proteins are important molecules in our blood that come from cells and organs. They can tell us a lot about our health and how our bodies work. Levels of these proteins can change based on many factors, including our genes, lifestyle choices, and environment.
In recent studies, researchers have looked closely at how these proteins are connected to various Health Conditions. They have used advanced tools to study thousands of different proteins at once. This approach helps in finding more about how these proteins relate to our health and the factors that influence them.
Traditional Methods of Measuring Plasma Proteins
For years, scientists have used a technique called mass spectrometry to measure protein levels in plasma. However, this method often has limitations. Typically, studies using mass spectrometry involve small groups of people and may not capture the full range of proteins present in the blood.
To overcome these limitations, new technologies have emerged. One such technology is called the Olink platform, which uses antibodies to detect specific proteins. This method allows researchers to analyze many samples quickly and accurately, making it possible to study proteins in larger groups of people.
Recently, a large study used the Olink platform to measure nearly 3,000 plasma proteins in over 54,000 participants from the UK Biobank. This study revealed many interesting connections between protein levels and factors such as age, sex, and other health conditions.
The Importance of Population Diversity in Research
While many studies have focused on European populations, there is a significant gap in research on other groups, particularly in East Asia. A study in the China Kadoorie Biobank aimed to explore how proteins in the blood relate to health among Chinese adults. This study investigated about 3,000 proteins in 2,000 participants to see how various factors influenced protein levels.
The researchers collected information on participants’ demographics, lifestyle habits, and health conditions. This included details about their diet, physical activity, medical history, and more. This detailed data helps in understanding health trends in different populations.
Findings on Proteins and Health
In this study, the researchers observed strong links between protein levels and several key factors:
-
Age: Older age was associated with changes in many protein levels. For instance, proteins that are known to be involved in aging showed higher levels in older participants.
-
Sex: There were notable differences between males and females when it came to protein levels. Certain proteins related to reproductive health were found at different levels based on sex. For example, females had higher levels of a protein called LEP, which is involved in body fat regulation.
-
Body Mass Index (BMI): Individuals with higher BMI levels showed significant associations with many proteins. Proteins related to fat storage and metabolism were among those that correlated with BMI.
-
Lifestyle Choices: Factors like alcohol consumption and smoking were connected to changes in protein levels too. For example, regular alcohol drinkers had different protein levels compared to non-drinkers.
-
Health Indicators: Other health metrics like blood pressure and blood sugar levels were also associated with certain proteins.
Unique Insights from the Research
One interesting highlight from the research was the finding of specific proteins that were strongly associated with aging, sex, and lifestyle choices. The proteins CDHR2, CK-BB, and PLAT stood out as having many associations with the studied factors.
The study also made it clear that there are differences in how proteins relate to health between the sexes. For instance, proteins related to menopause showed significant changes in females, while many male-related proteins were associated with smoking and other lifestyle factors.
Understanding Composite Health Measures
The researchers also looked at two composite measures that represent overall health: a healthy lifestyle index and a Frailty Index. The healthy lifestyle index combines various positive lifestyle habits, while the frailty index represents health issues that tend to accumulate with age. Interestingly, some proteins were linked to both indices, but in contrasting directions, highlighting the complexity of how lifestyle choices influence health.
Challenges in Proteomics Research
While this study provided valuable insights, it also faced some challenges. One issue was the lack of diversity among study participants, as most proteomics research has mainly included European populations. This limits the ability to generalize findings across different groups.
Moreover, the study was cross-sectional, meaning it looked at data at one point in time rather than over a long period. This makes it difficult to determine cause-and-effect relationships between protein levels and health outcomes.
Future Directions in Research
The findings from the study involving the Chinese population are significant not just for that group but for understanding health worldwide. More research is needed to further explore the links between plasma proteins and various health factors, especially in diverse populations.
The researchers suggest that future studies should include a wider range of participants and also consider factors like genetic information. They believe this will help in providing a more complete picture of how proteins affect health.
Conclusion
In conclusion, understanding plasma proteins and their relationship to health can provide valuable insights into human biology. Advances in technology have made it easier to study these proteins in larger populations, revealing interesting connections with age, sex, lifestyle, and medical conditions.
As research continues, it will be essential to include diverse populations to gain a fuller understanding of how proteins influence health and to develop better strategies for disease prevention and treatment.
Title: An exposome-wide investigation of 2923 Olink proteins with non-genetic factors in Chinese adults
Abstract: BackgroundPrevious studies in European populations have identified a large number of genetic variants affecting plasma levels of Olink proteins, but little is known about the non-genetic factors influencing plasma levels of proteins, particularly in Chinese populations. MethodsWe measured plasma levels of 2,923 proteins, using Olink Explore platform, in 2,006 participants in the China Kadoorie Biobank. Linear regression analyses were used to assess the cross-sectional associations of individual proteins with 37 exposures across multiple domains (e.g. socio-demographic, lifestyle, environmental, sample processing, reproductive factors, clinical measurements, and health-related indices), adjusted for potential confounders and multiple testing. These were further replicated and compared with similar analyses in Europeans. ResultsOverall 31 exposures were associated with at least one protein, with age (n=1,154), sex (n=827), BMI (n=869) showing the highest number of associations, followed by frailty index (n=597), SBP (n=479), RPG (n=387), ambient temperature (n=292), and HBsAg-positivity (n=282), with diet and physical activity showing little associations. Likewise, of the 2,923 proteins examined, 65% were associated with at least one exposure, with three proteins (CDHR2, CKB, and PLAT) showing the largest number of associations with baseline characteristics (n=14). The patterns of associations differed by sex, chiefly due to differences in lifestyle and reproductive factors. Over 90% of proteomic associations with key exposures in the current study were replicated in the UK Biobank. ConclusionsIn Chinese adults, the exposome-wide assessment of Olink proteins identified a large number of associations with a wide range of exposures, which could inform future research priorities and analytic strategies.
Authors: Zhengming Chen, A. Iona, B. Wang, J. Clarke, K. Chan, M. G. Kakkoura, C. Clarke, N. Wright, P. Yao, M. Mazidi, P. K. Im, M. Rahmati, C. Kartsonaki, S. Morris, H. Fry, I. Y. Millwood, R. G. Walters, H. Du, L. Yang, D. Avery, D. V. Schmidt, F. Li, C. Yu, D. Sun, J. Lv, M. Hill, L. Li, R. Clarke, D. A. Bennett, China Kadoorie Biobank Collaborative Group
Last Update: 2024-10-28 00:00:00
Language: English
Source URL: https://www.medrxiv.org/content/10.1101/2024.10.23.24315975
Source PDF: https://www.medrxiv.org/content/10.1101/2024.10.23.24315975.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to medrxiv for use of its open access interoperability.