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Table 3 Metabolism-related findings reported by previous studies about those GM related to high FBG or dyslipidemia found in this study

From: Dynamic changes in the gut microbiota during three consecutive trimesters of pregnancy and their correlation with abnormal glucose and lipid metabolism

Microbiota

Previous studies

The present study

Author

Year

Main findings

FBG

Blood lipids

Mitsuokella

Liu et al. [25]

2021

Mitsuokella was significantly dominant in the salivary microbiome for treatment-naive T2D patients

↑a

 

Palmas et al. [26]

2021

Mitsuokella from Firmicutes taxa was significantly increased in obese subjects, while Firmicutes taxa positively correlated with body fat and negatively with muscle mass

Faecalibacterium

Yuan et al. [27]

2022

The serum uric acid level negatively associated with Faecalibacterium, which is one of the producers of short-chain fatty acids (SCFAs)

↓b

 

Ye et al. [28]

2019

The relative abundance of Faecalibacterium was lower in pregnant women with GD whose blood glucose failed to get control after lifestyle modifications

The relative abundance of Faecalibacterium was negatively correlated with FBG

The peroxisome proliferator-activated receptor was positively correlated with the relative abundance of Faecalibacterium

Wu et al. [29]

2020

The abundance of Faecalibacterium sp were decreased in treatment-naive T2D patients

Ferrocino et al. [46]

2018

Faecalibacterium was inversely correlated to FBG level in patients with GD

Crusell et al. [10]

2018

Enrichment of species annotated to Faecalibacterium were showed in GD cohort compared with the normoglycaemic pregnant women

Liu et al. [31]

2020

The gut microbiota of women with GD showed increased abundance of Faecalibacterium, and the relative abundance of Faecalibacterium was positively related to inflammatory factor concentrations

Weissella

Huang et al. [32]

2020

Weissella cibaria MW01 could regulate inflammation through the NF-κB-mediated MLCK–pMLC pathway

↑a

 

Chen et al. [36]

2022

Weissella was found to be enriched in GD women who failed to respond to medical nutrition treatment for glycemic control

Clostridium sensu stricto

Martínez-Cuesta et al. [47]

2021

The relative abundance of Clostridium sensu stricto was significantly diminished in obese individuals

↑a

 

Zeng et al. [37]

2019

Clostridium sensu stricto was positively related to waistline, BMI and serum lipid levels including LDL-C, TG and TC

Maskarinec et al. [38]

2021

Clostridium sensu stricto was more abundant in T2D patients

Crusell et al. [10]

2018

There was a depletion of species annotated to Clostridium sensu stricto in GD patients

Corynebacterium

Nasim et al. [40]

2021

11 species of Corynebacterium revealed a wide presence of toxins, multi-drug resistance and virulence factors, which are thought to be the source of infection in various diseases

 

↑a

Diphtheroid is the last common ancestor of all the Corynebacterium species

Li et al. [50]

2021

Serum/liver lipid and carbohydrate profiles were found strongly negatively correlated with Corynebacterium

Rothia

Fatahi-Bafghi et al. [41]

2021

The genus Rothia are emerging as opportunistic pathogens associated with various infections, including endocarditis, pneumonia, peritonitis and, septicemia, abdominal infection, tonsillitis, spondylodiscitis, keratitis, meningitis, catheter-related infection, prosthetic device infection, osteomyelitis, peritoneal fluid, sputum, synovial fluid, bile, and bronchitis

 

↑a

Xu [42]

2022

Rothia might play an important role in alleviating atherosclerosis

Granulicatella

Li et al. [43]

2022

Granulicatella was the independent risk factor for death of Hepatic encephalopathy after transjugular intrahepatic portosystemic shunt

 

↑a

Aranaz et al. [44]

2021

Granulicatella were more abundant in subjects with high inflammatory score

Wu et al. [45]

2018

The abundance of Granulicatella in salivary microbiome was significantly increased in periodontally healthy obese people

Crusell et al. [10]

2018

Granulicatella was a biomarker of GD

Dong et al. [48]

2021

The abundance of Granulicatella in salivary microbiome was significantly higher in subjects with high serum TSH level (> 4.2 mIU/L) compared with subjects with normal TSH level (0.6–4.20 mIU/L)

Zhao et al. [49]

2020

As a risk factor for the development of metabolic-associated fatty liver disease, insulin resistance was positively correlated with the abundance of Granulicatella in supragingival plaques

  1. a "↑" represents the corresponding microbiota may promote the occurrence of high FBG or Blood lipids levels in the present study
  2. b "↓" represents the corresponding microbiota may have an inhibitory effect of the development of high FBG in the present study