Post-COVID syndrome is a long-term multisystem complication arising after coronavirus infection, lasting from six months to two years, and affects 10 to 30% of those who have had COVID-19. Symptoms range from respiratory and gastrointestinal issues to neuropsychiatric disorders and general fatigue.
The gut microbiome may play a vital role in developing post-COVID syndrome symptoms. Notably, the diversity of symptoms may be linked to individual differences in the gut microbiome composition.
Chinese scientists from the Microbiome Center utilized a machine learning model to predict post-COVID syndrome symptoms based on gut microbiome analysis.
The study involved over 1,200 individuals with post-COVID syndrome, with an average age of 48. The most common symptoms among patients were fatigue, memory loss, concentration problems, and insomnia.
Patients with post-COVID syndrome exhibited reduced diversity and quantity of gut bacteria compared to control groups, who either had COVID-19 without long-term effects or never contracted the virus. Notably, there was a marked reduction in Bifidobacterium adolescentis and Roseburia hominis, along with an increase in Clostridium bolteae and Flavonifractor plautii.
Changes in the gut microbiome accounted for nearly 13% of the variations in post-COVID syndrome symptoms. In comparison, symptoms were much less dependent on COVID-19 vaccination status, disease history, and demographic data. However, microbiome changes could mediate the impact of other factors on health post-COVID-19.
Gut Microbiome Changes Explain Symptom Variations in Post-COVID Syndrome
Participants were divided into three groups based on their gut enterotypes, a classification of the gut microbiome according to the dominant types of bacteria.
The groups exhibited significant differences in symptom prevalence based on their enterotypes:
- The first group predominantly suffered from respiratory symptoms such as shortness of breath, cough, runny nose, and chest pain, with the dominant bacteria being Ruminococcus gnavus and Clostridium.
- The second group experienced neurological problems, including memory loss, concentration issues, insomnia, and blurred vision, with dominant bacteria, as shown in the image below.
- The third group had lower fatigue levels compared to the others, with bifidobacteria being predominant.
Figure 1. Association of intestinal enterotype with symptoms of post-COVID syndrome
Image source: https://www.cell.com/cell-host-microbe/abstract/S1931-3128(24)00122-7
Post-COVID syndrome was associated with the depletion of Adlercreutzia equolifaciens, Bifidobacterium Teenis, and Gemmiger formicilis, while Coprobacillus cateniformis was more common among patients with gastrointestinal issues.
Interestingly, factors such as diet, alcohol consumption, and COVID-19 vaccination did not influence post-COVID syndrome symptoms, indicating that the primary cause of symptom diversity lies in the different compositions of the microbiome.
Predicting Post-COVID Symptoms Based on Gut Microbiome Composition
Scientists developed a machine learning model that analyzes the microbiome and can accurately determine an individual’s predisposition to specific post-COVID syndrome symptoms. This model can help create personalized treatment and prevention methods for post-COVID syndrome.
The model’s effectiveness was tested on nearly 200 patients, whose microbiome samples were collected during the acute phase of COVID-19, before the development of the post-COVID syndrome. After six months of monitoring, these patients began to exhibit various post-COVID syndrome symptoms. The machine learning model successfully predicted these patients’ symptoms based on their microbiome composition, with an overall prediction accuracy of 84% and an accuracy of 94% for predicting post-COVID fatigue.
Conclusion
Changes in the microbiome are related to post-COVID syndrome symptoms. The machine learning model Chinese scientists developed can accurately predict post-COVID syndrome symptoms based on microbiome analysis. Using this model, microbiome analysis can be utilized for more precise diagnosis of post-COVID syndrome, aiding in developing more personalized treatment methods for patients suffering from the long-term consequences of COVID-19.
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Reference
The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome
