Long-term alterations in gut microbiota following mild COVID-19 recovery: bacterial and fungal community shiftsOriginal paper
What was studied?
This study examined long-term changes in gut bacteria and fungi in people who recovered from mild COVID-19. It compared healthy individuals with recoverees at 3 months and 6 months post-recovery. Stool, blood, and metadata were collected. Metagenomic sequencing characterized bacteria while internal transcribed spacer analysis characterized fungi. Researchers built bacterial-fungal co-occurrence networks and used random forest models to test how well key taxa predicted recovery status.
Who was studied?
The study enrolled adults from Hainan Province, China, including men and women across adult and middle-aged groups. Healthy participants were enrolled before the COVID-19 outbreak. Recoverees from mild COVID-19 were sampled at 3 and 6 months after recovery. The focus was specifically on mild cases rather than long COVID or acute infection. This before-and-after design let researchers track how the gut microbiome shifted over the months following mild illness.
What were the most important findings?
The gut microbiota of COVID-19 recoverees differed significantly from that of healthy individuals. At 3 months, probiotic taxa were enriched and linked to improved metabolism. By 6 months, probiotics only partially recovered while some pathogens persisted. Certain taxa fluctuated, being enriched at baseline and 6 months but absent at 3 months. Co-occurrence networks showed synergies between bacterial and fungal taxa, suggesting roles in gut restoration. A 10-taxon bacterial random forest model predicted recovery status with an area under the curve of 0.99, outperforming the 8-taxon fungal model at 0.80.
What are the greatest implications of this study?
The findings show mild COVID-19 can leave lasting imprints on both gut bacteria and fungi for at least 6 months. Key taxa linked to metabolism and immune regulation may support microbiome-based strategies for recovery management. The strong bacterial predictive model suggests gut taxa could help flag incomplete recovery. As an observational comparison, it shows association rather than proof that these shifts cause lingering symptoms.