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This article is original by Translational Medicine Network.
Please indicate the source for reprinting.
Author: Yun Introduction: Recent studies have shown that the human gut microbiome may be associated with obesity and cancer, and the Harvard Medical School research team has determined these connections.
Trillions of bacteria, fungi, viruses, and other microorganisms in the human body constitute the human microbiome.
Researchers at Harvard Medical School and Jocelyn Diabetes Center have analyzed the genetic composition of bacteria in the human intestine, and studied the bacterial genome (genetic characteristics) and atherosclerotic cardiovascular disease, liver cirrhosis, inflammatory bowel disease, and large intestine.
The association between cancer and type 2 diabetes.
Data from microbiome-disease association studies at the genetic level show that coronary artery disease, inflammatory bowel disease, and liver cirrhosis have many of the same bacterial genes.
In other words, people whose gut flora contains the same collection of bacteria seem to be more likely to have one or more of these three conditions.
Recent studies have shown that the microorganisms present in the human gut may play a role in various diseases ranging from obesity to cancer.
A team from Harvard Medical School has linked the genetic characteristics of the microbiome to multiple diseases.
The research was published in "Nature Communications", entitled "Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators".
This work has given people a new understanding of the relationship between the gut microbiome and specific diseases.
If confirmed by further research, it will provide new ideas for analyzing a person's risk of illness based on a single stool sample.
Using various statistical models and machine learning, scientists at Harvard University have determined the "microbiome structure" behind human diseases.
They linked several sets of genetic features of the microbiome with many diseases, including coronary artery disease, inflammatory bowel disease, liver cirrhosis, and type 2 diabetes.
This study found that the risk of disease can be predicted more accurately based on bacterial genetic markers rather than just certain bacterial species.
In this study, the researchers collected microbiome data from 13 groups of patients and provided a total of 2,573 samples.
They analyzed the data to identify the links between seven diseases and millions of microbial species, microbial metabolic pathways, and microbial genes.
By trying various modeling methods (a total of 67 million different statistical models were calculated), they were able to observe the characteristics of the microbiome that are always the strongest disease-related candidates.
After running the data against multiple models, they found that the correlation between genetic characteristics and disease is the strongest.
The metabolic pathways of microorganisms and the types of microorganisms also play a role, but this connection is not strong.
Researchers say this means that genetic structure can better predict disease than when only certain bacteria are present.
The research team discovered gene clusters in different human diseases.
The research team found that coronary artery disease, inflammatory bowel disease and liver cirrhosis have similar genetic characteristics, which suggests that people with these bacterial genes in the intestine may be prone to these three conditions.
Interestingly, the analysis did not find a consistent link between bacteria and colon cancer, which has been reported in many previous studies.
However, the researchers did identify specific genes from the subspecies Streptococcus murrenii associated with colorectal cancer.
This finding shows that compared with current methods, gene-level analysis can produce disease biomarkers more accurately and specifically.
Other research groups have demonstrated the influence of gut microbiota on diseases outside the gastrointestinal tract.
A research team led by Johannes Gutenberg University in Germany recently discovered that the ability of interleukin-17 to regulate the gut microbiome may be a key driver of multiple sclerosis.
Researchers at Baylor College of Medicine have shown that the microbial-based probiotic Reuters bacteria or its metabolites can restore normal social behavior in mice with autism.
Contrary to the emphasis on the positive correlation between the genetic characteristics of the gut microbiome and certain diseases, the research data also shows that the two diseases of ear inflammation (otitis media) and adenoma (benign soft tissue tumors) appear to be incompatible with the gut microbiome.
The correlation is weak, indicating that the microorganisms living in the human intestine are unlikely to play a role in the development of these diseases, and they are unlikely to be reliable indicators of these diseases.
The researchers pointed out: "As far as we know, we have specifically chosen otitis media as a form of negative biological control, because it is reported to have limited relevance to the gut microbiome, and we hope it has negligible metagenomics.
Architecture.
"In previous studies, the research team used a large amount of publicly available DNA sequencing data from human oral and gut microbial communities to estimate the size of the microbial gene range in the human body.
Analysis shows that there may be more genomes in the human observable collective than there are stars in the observable universe.
The researchers said that given the number of microbial genes that exist in the human body, the new discovery represents an important step in the complexity of the interaction between disease and the microbiome.
The Harvard team suggests that identifying genetic structures in the microbiome can help guide the development of high-throughput diagnostic tools for specific diseases.
Branden Tierney, the lead author of the study, said in a statement: "This opens a new century for the development of cross-disease, gene-based tests.
The genetic markers we have identified may be able to identify associations with multiple diseases in the future.
"Reference: [1] [2] https://www.
fiercebiotech.
com/research/gauging-risk-diseases-by-studying-gut-microbiome-s-genetic-features [3] Note: This article It is intended to introduce the progress of medical research and cannot be used as a reference for treatment plans.
If you need health guidance, please go to a regular hospital for treatment.
Please indicate the source for reprinting.
Author: Yun Introduction: Recent studies have shown that the human gut microbiome may be associated with obesity and cancer, and the Harvard Medical School research team has determined these connections.
Trillions of bacteria, fungi, viruses, and other microorganisms in the human body constitute the human microbiome.
Researchers at Harvard Medical School and Jocelyn Diabetes Center have analyzed the genetic composition of bacteria in the human intestine, and studied the bacterial genome (genetic characteristics) and atherosclerotic cardiovascular disease, liver cirrhosis, inflammatory bowel disease, and large intestine.
The association between cancer and type 2 diabetes.
Data from microbiome-disease association studies at the genetic level show that coronary artery disease, inflammatory bowel disease, and liver cirrhosis have many of the same bacterial genes.
In other words, people whose gut flora contains the same collection of bacteria seem to be more likely to have one or more of these three conditions.
Recent studies have shown that the microorganisms present in the human gut may play a role in various diseases ranging from obesity to cancer.
A team from Harvard Medical School has linked the genetic characteristics of the microbiome to multiple diseases.
The research was published in "Nature Communications", entitled "Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators".
This work has given people a new understanding of the relationship between the gut microbiome and specific diseases.
If confirmed by further research, it will provide new ideas for analyzing a person's risk of illness based on a single stool sample.
Using various statistical models and machine learning, scientists at Harvard University have determined the "microbiome structure" behind human diseases.
They linked several sets of genetic features of the microbiome with many diseases, including coronary artery disease, inflammatory bowel disease, liver cirrhosis, and type 2 diabetes.
This study found that the risk of disease can be predicted more accurately based on bacterial genetic markers rather than just certain bacterial species.
In this study, the researchers collected microbiome data from 13 groups of patients and provided a total of 2,573 samples.
They analyzed the data to identify the links between seven diseases and millions of microbial species, microbial metabolic pathways, and microbial genes.
By trying various modeling methods (a total of 67 million different statistical models were calculated), they were able to observe the characteristics of the microbiome that are always the strongest disease-related candidates.
After running the data against multiple models, they found that the correlation between genetic characteristics and disease is the strongest.
The metabolic pathways of microorganisms and the types of microorganisms also play a role, but this connection is not strong.
Researchers say this means that genetic structure can better predict disease than when only certain bacteria are present.
The research team discovered gene clusters in different human diseases.
The research team found that coronary artery disease, inflammatory bowel disease and liver cirrhosis have similar genetic characteristics, which suggests that people with these bacterial genes in the intestine may be prone to these three conditions.
Interestingly, the analysis did not find a consistent link between bacteria and colon cancer, which has been reported in many previous studies.
However, the researchers did identify specific genes from the subspecies Streptococcus murrenii associated with colorectal cancer.
This finding shows that compared with current methods, gene-level analysis can produce disease biomarkers more accurately and specifically.
Other research groups have demonstrated the influence of gut microbiota on diseases outside the gastrointestinal tract.
A research team led by Johannes Gutenberg University in Germany recently discovered that the ability of interleukin-17 to regulate the gut microbiome may be a key driver of multiple sclerosis.
Researchers at Baylor College of Medicine have shown that the microbial-based probiotic Reuters bacteria or its metabolites can restore normal social behavior in mice with autism.
Contrary to the emphasis on the positive correlation between the genetic characteristics of the gut microbiome and certain diseases, the research data also shows that the two diseases of ear inflammation (otitis media) and adenoma (benign soft tissue tumors) appear to be incompatible with the gut microbiome.
The correlation is weak, indicating that the microorganisms living in the human intestine are unlikely to play a role in the development of these diseases, and they are unlikely to be reliable indicators of these diseases.
The researchers pointed out: "As far as we know, we have specifically chosen otitis media as a form of negative biological control, because it is reported to have limited relevance to the gut microbiome, and we hope it has negligible metagenomics.
Architecture.
"In previous studies, the research team used a large amount of publicly available DNA sequencing data from human oral and gut microbial communities to estimate the size of the microbial gene range in the human body.
Analysis shows that there may be more genomes in the human observable collective than there are stars in the observable universe.
The researchers said that given the number of microbial genes that exist in the human body, the new discovery represents an important step in the complexity of the interaction between disease and the microbiome.
The Harvard team suggests that identifying genetic structures in the microbiome can help guide the development of high-throughput diagnostic tools for specific diseases.
Branden Tierney, the lead author of the study, said in a statement: "This opens a new century for the development of cross-disease, gene-based tests.
The genetic markers we have identified may be able to identify associations with multiple diseases in the future.
"Reference: [1] [2] https://www.
fiercebiotech.
com/research/gauging-risk-diseases-by-studying-gut-microbiome-s-genetic-features [3] Note: This article It is intended to introduce the progress of medical research and cannot be used as a reference for treatment plans.
If you need health guidance, please go to a regular hospital for treatment.
