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1.
Sci Rep ; 11(1): 23530, 2021 12 07.
Article in English | MEDLINE | ID: mdl-34876615

ABSTRACT

Chronic kidney disease is a major public health concern that affects millions of people globally. Alterations in gut microbiota composition have been observed in patients with chronic kidney disease. Nevertheless, the correlation between the gut microbiota and disease severity has not been investigated. In this study, we performed shot-gun metagenomics sequencing and identified several taxonomic and functional signatures associated with disease severity in patients with chronic kidney disease. We noted that 19 microbial genera were significantly associated with the severity of chronic kidney disease. The butyrate-producing bacteria were reduced in patients with advanced stages of chronic kidney diseases. In addition, functional metagenomics showed that two-component systems, metabolic activity and regulation of co-factor were significantly associated with the disease severity. Our study provides valuable information for the development of microbiota-oriented therapeutic strategies for chronic kidney disease.


Subject(s)
Butyrates/metabolism , Gastrointestinal Microbiome/physiology , Renal Insufficiency, Chronic/microbiology , Adolescent , Bacteria/genetics , Bacteria/metabolism , Feces/microbiology , Female , Gastrointestinal Microbiome/genetics , Humans , Male , Metagenomics/methods , Severity of Illness Index
2.
Sci Rep ; 11(1): 21688, 2021 11 04.
Article in English | MEDLINE | ID: mdl-34737384

ABSTRACT

Axonal loss is the main determinant of disease progression in multiple sclerosis (MS). This study aimed to assess the utility of corneal confocal microscopy (CCM) in detecting corneal axonal loss in different courses of MS. The results were confirmed by two independent segmentation methods. 72 subjects (144 eyes) [(clinically isolated syndrome (n = 9); relapsing-remitting MS (n = 20); secondary-progressive MS (n = 22); and age-matched, healthy controls (n = 21)] underwent CCM and assessment of their disability status. Two independent algorithms (ACCMetrics; and Voxeleron deepNerve) were used to quantify corneal nerve fiber density (CNFD) (ACCMetrics only), corneal nerve fiber length (CNFL) and corneal nerve fractal dimension (CNFrD). Data are expressed as mean ± standard deviation with 95% confidence interval (CI). Compared to controls, patients with MS had significantly lower CNFD (34.76 ± 5.57 vs. 19.85 ± 6.75 fibers/mm2, 95% CI - 18.24 to - 11.59, P < .0001), CNFL [for ACCMetrics: 19.75 ± 2.39 vs. 12.40 ± 3.30 mm/mm2, 95% CI - 8.94 to - 5.77, P < .0001; for deepNerve: 21.98 ± 2.76 vs. 14.40 ± 4.17 mm/mm2, 95% CI - 9.55 to - 5.6, P < .0001] and CNFrD [for ACCMetrics: 1.52 ± 0.02 vs. 1.45 ± 0.04, 95% CI - 0.09 to - 0.05, P < .0001; for deepNerve: 1.29 ± 0.03 vs. 1.19 ± 0.07, 95% - 0.13 to - 0.07, P < .0001]. Corneal nerve parameters were comparably reduced in different courses of MS. There was excellent reproducibility between the algorithms. Significant corneal axonal loss is detected in different courses of MS including patients with clinically isolated syndrome.


Subject(s)
Cornea/diagnostic imaging , Cornea/innervation , Multiple Sclerosis/physiopathology , Adult , Axons/physiology , Biomarkers , Cornea/metabolism , Disease Progression , Female , Humans , Male , Microscopy, Confocal/methods , Middle Aged , Multiple Sclerosis/metabolism , Nerve Fibers , Reproducibility of Results
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