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  • Frontiers Media SA  (13)
  • Huang, Ying  (13)
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  • Frontiers Media SA  (13)
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  • 1
    Online-Ressource
    Online-Ressource
    Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
    Frontiers Media SA ; 2022
    In:  Frontiers in Microbiology Vol. 13 ( 2022-10-6)
    Details
    In: Frontiers in Microbiology, Frontiers Media SA, Vol. 13 ( 2022-10-6)
    Kurzfassung: Diabetic foot infections (DFIs) represent a frequent complication of diabetes and a major cause of amputations. This study aimed to evaluate the utility of 16S rRNA gene sequencing for the rapid microbiological diagnosis of DFIs and to consistently characterize the microbiome of chronic diabetic foot ulcers (DFUs) and intact skin. Wound samples were collected by ulcer swabbing and tissue biopsy, and paired swabs of intact skin were collected from 10 patients with DFIs (five were moderately infected, and the other five were severely infected). Samples were analyzed by conventional culture and using Personal Genome Machine (PGM) 16S rRNA sequencing technology. The results showed that PGM technology detected significantly more bacterial genera (66.1 vs. 1.5 per wound sample, p & lt; 0.001); more obligate anaerobes (52.5 vs. 0%, p & lt; 0.001) and more polymicrobial infections (100.0 vs. 55.0%, p & lt; 0.01) than conventional cultures. There was no statistically significant difference in bacterial richness, diversity or composition between the wound swabs and tissues ( p & gt; 0.05). The bacterial community on intact skin was significantly more diverse than that in DFUs (Chao1 value, p & lt; 0.05; Shannon index value, p & lt; 0.001). Gram-positive bacteria (67.6%) and aerobes (59.2%) were predominant in contralateral intact skin, while Gram-negative bacteria (63.3%) and obligate anaerobes (50.6%) were the most ubiquitous in DFUs. The most differentially abundant taxon in skin was Bacillales , while Bacteroidia was the bacterial taxon most representative of DFUs. Moreover, Fusobacterium (ρ = 0.80, p & lt; 0.01) and Proteus (ρ = 0.78, p & lt; 0.01) were significantly correlated with the duration of DFIs. In conclusion, PGM 16S rRNA sequencing technology could be a potentially useful technique for the rapid microbiological diagnosis of DFIs. Wound swabbing may be sufficient for sampling bacterial pathogens in DFIs compared with biopsy which is an invasive technique. The empirical use of broad-spectrum antibiotics covering Gram-negative obligate anaerobes should be considered for the treatment of moderate or severe DFIs.
    Materialart: Online-Ressource
    ISSN: 1664-302X
    URL: Article
    DOI: 10.3389/fmicb.2022.1021955
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2022
    ZDB Id: 2587354-4
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  • 2
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    Data_Sheet_1.doc
    Frontiers Media SA ; 2019
    In:  Frontiers in Chemistry Vol. 7 ( 2019-3-21)
    Details
    In: Frontiers in Chemistry, Frontiers Media SA, Vol. 7 ( 2019-3-21)
    Materialart: Online-Ressource
    ISSN: 2296-2646
    URL: Article
    URL: Article
    DOI: 10.3389/fchem.2019.00154
    DOI: 10.3389/fchem.2019.00154.s001
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2019
    ZDB Id: 2711776-5
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
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    datasheet1.pdf
    Frontiers Media SA ; 2021
    In:  Frontiers in Pharmacology Vol. 11 ( 2021-1-29)
    Details
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 11 ( 2021-1-29)
    Kurzfassung: Green tea extract (GTE) is popular in weight loss, and epigallocatechin gallate (EGCG) is considered as the main active component. However, GTE is the primary cause of herbal and dietary supplement-induced liver injury in the United States. Whether there is a greater risk of liver injury when EGCG is consumed during dieting for weight loss has not been previously reported. This study found for the first time that EGCG could induce enhanced lipid metabolism pathways, suggesting that EGCG had the so-called “fat burning” effect, although EGCG did not cause liver injury at doses of 400 or 800 mg/kg in normal mice. Intriguingly, we found that EGCG caused dose-dependent hepatotoxicity on mice under dietary restriction, suggesting the potential combination effects of dietary restriction and EGCG. The combination effect between EGCG and dietary restriction led to overactivation of linoleic acid and arachidonic acid oxidation pathways, significantly increasing the accumulation of pro-inflammatory lipid metabolites and thus mediating liver injury. We also found that the disruption of Lands’ cycle and sphingomyelin-ceramides cycle and the high expression of taurine-conjugated bile acids were important metabolomic characteristics in EGCG-induced liver injury under dietary restriction. This original discovery suggests that people should not go on a diet while consuming EGCG for weight loss; otherwise the risk of liver injury will be significantly increased. This discovery provides new evidence for understanding the “drug-host” interaction hypothesis of drug hepatotoxicity and provides experimental reference for clinical safe use of green tea-related dietary supplements.
    Materialart: Online-Ressource
    ISSN: 1663-9812
    URL: Article
    URL: Article
    DOI: 10.3389/fphar.2020.609378
    DOI: 10.3389/fphar.2020.609378.s001
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2021
    ZDB Id: 2587355-6
    SSG: 15,3
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
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    Data_Sheet_1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Medicine Vol. 9 ( 2022-6-13)
    Details
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 9 ( 2022-6-13)
    Kurzfassung: Ascites is one of the most common complications of cirrhosis, and there is a dearth of knowledge about ascites-related pathologic metabolism. In this study, 122 alcoholic liver disease (ALD) patients, including 49 cases without ascites, 18 cases with mild-ascites, and 55 cases with large-ascites ( 1 ) were established according to the International Ascites Club ( 2 ), and untargeted metabolomics coupled with pattern recognition approaches were performed to profile and extract metabolite signatures. A total of 553 metabolites were uniquely discovered in patients with ascites, of which 136 metabolites had been annotated in the human metabolome database. Principal component analysis (PCA) analysis was used to further identify 21 ascites-related fingerprints. The eigenmetabolite calculated by reducing the dimensions of the 21 metabolites could be used to effectively identify those ALD patients with or without ascites. The eigenmetabolite showed a decreasing trend during ascites production and accumulation and was negatively related to the disease progress. These metabolic fingerprints mainly belong to the metabolites in lipid metabolism and the amino acid pathway. The results imply that lipid and amino acid metabolism disturbance may play a critical role in the development of ascites in ALD patients and could be a potent prognosis marker.
    Materialart: Online-Ressource
    ISSN: 2296-858X
    URL: Article
    URL: Article
    DOI: 10.3389/fmed.2022.815467
    DOI: 10.3389/fmed.2022.815467.s001
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2022
    ZDB Id: 2775999-4
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
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    Data_Sheet_1.ZIP
    Frontiers Media SA ; 2021
    In:  Frontiers in Medicine Vol. 8 ( 2021-3-12)
    Details
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 8 ( 2021-3-12)
    Kurzfassung: Objectives: Autoimmune hepatitis (AIH) can progress into severe outcomes, i.e., decompensated cirrhosis, from remarkable and persistent inflammation in the liver. Considering the energy-expending nature of inflammation, we tried to define the metabolomics signatures of AIH to uncover the underlying mechanisms of cirrhosis development and its metabolic biomarkers. Methods: Untargeted metabolomics analysis was performed on sera samples from 79 AIH patients at the stages (phenotypes) of non-cirrhosis ( n = 27), compensated cirrhosis ( n = 22), and decompensated cirrhosis ( n = 30). Pattern recognition was used to find unique metabolite fingerprints of cirrhosis with or without decompensation. Results: Out of the 294 annotated metabolites identified, 2 metabolic fingerprints were found associated with the development of cirrhosis (independent of the decompensated state, 42 metabolites) and the evolution of decompensated cirrhosis (out of 47 metabolites), respectively. The cirrhosis-associated fingerprints (eigenmetabolite) showed better capability to differentiate cirrhosis from non-cirrhosis patients than the aminotransferase-to-platelet ratio index. From the metabolic fingerprints, we found two pairs of metabolites (Mesobilirubinogen/6-Hydroxynicotinic acid and LysoPA(8:0/0:0)/7alpha-Hydroxycholesterol) calculated as ratio of intensities, which revealed robust abilities to identify cirrhosis or predict decompensated patients, respectively. These phenotype-related fingerprint metabolites featured fundamental energy supply disturbance along with the development of AIH cirrhosis and progression to decompensation, which was characterized as increased lipolysis, enhanced proteolysis, and increased glycolysis. Conclusions: Remodeling of metabolism to meet the liver inflammation-related energy supply is one of the key signatures of AIH in the development of cirrhosis and decompensation. Therefore, drug regulation metabolism has great potential in the treatment of AIH.
    Materialart: Online-Ressource
    ISSN: 2296-858X
    URL: Article
    URL: Article
    DOI: 10.3389/fmed.2021.644376
    DOI: 10.3389/fmed.2021.644376.s001
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2021
    ZDB Id: 2775999-4
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
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    Table_3.DOCX
    Frontiers Media SA ; 2021
    In:  Frontiers in Medicine Vol. 8 ( 2021-3-29)
    Details
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 8 ( 2021-3-29)
    Kurzfassung: Background: Chronic drug-induced liver injury (DILI) occurs in up to 20% of all DILI patients. It presents a chronic pattern with persistent or relapsed episodes and may even progress to cirrhosis. However, its underlying development mechanism is poorly understood. Aims: To find serum metabolite signatures of chronic DILI with or without cirrhosis, and to elucidate the underlying mechanism. Methods: Untargeted metabolomics coupled with pattern recognition approaches were used to profile and extract metabolite signatures from 83 chronic DILI patients, including 58 non-cirrhosis (NC) cases, 14 compensated cirrhosis (CC) cases, and 11 decompensated cirrhosis (DC) cases. Results: Of the 269 annotated metabolites associated with chronic DILI, metabolic fingerprints associated with cirrhosis (including 30 metabolites) and decompensation (including 25 metabolites), were identified. There was a significantly positive correlation between cirrhosis-associated fingerprint (eigenmetabolite) and the aspartate aminotransferase-to-platelet ratio index (APRI) ( r = 0.315, P = 0.003). The efficacy of cirrhosis-associated eigenmetabolite coupled with APRI to identify cirrhosis from non-cirrhosis patients was significantly better than APRI alone [area under the curve (AUC) value 0.914 vs. 0.573]. The decompensation-associated fingerprint (eigenmetabolite) can effectively identify the compensation and decompensation periods (AUC value 0.954). The results of the metabolic fingerprint pathway analysis suggest that the blocked tricarboxylic acid cycle (TCA cycle) and intermediary metabolism, excessive accumulation of bile acids, and perturbed amino acid metabolism are potential mechanisms in the occurrence and development of chronic DILI-associated cirrhosis. Conclusions: The metabolomic fingerprints characterize different stages of chronic DILI progression and deepen the understanding of the metabolic reprogramming mechanism of chronic DILI progression to cirrhosis.
    Materialart: Online-Ressource
    ISSN: 2296-858X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fmed.2021.640799
    DOI: 10.3389/fmed.2021.640799.s001
    DOI: 10.3389/fmed.2021.640799.s002
    DOI: 10.3389/fmed.2021.640799.s003
    DOI: 10.3389/fmed.2021.640799.s004
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2021
    ZDB Id: 2775999-4
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
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    Metabolomics Profiling and Diagnosis Biomarkers Searching for Drug-Induced Liver Injury Implicated to Polygonum multiflorum: A Cross-Sectional Cohort Study
    Frontiers Media SA ; 2020
    In:  Frontiers in Medicine Vol. 7 ( 2020-11-30)
    Details
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 7 ( 2020-11-30)
    Kurzfassung: Aim: The diagnosis of drug-induced liver injury (DILI) remains a challenge and the cases of Polygonum multiflorum Thunb. (PM) induced DILI (PM-DILI) have received much attention This study aimed to identify a simple and high-efficiency approach to PM-DILI diagnosis via metabolomics analysis. Methods: Plasma metabolites in 13 PM-DILI patients were profiled by liquid chromatography along with high-resolution mass spectrometry. Meanwhile, the metabolic characteristics of the PM-DILI were compared with that of autoimmune hepatitis (AIH), hepatitis B (HBV), and healthy volunteers. Results: Twenty-four metabolites were identified to present significantly different levels in PM-DILI patients compared with HBV and AIH groups. These metabolites were enriched into glucose, amino acids, and sphingolipids metabolisms. Among these essential metabolites, the ratios of P-cresol sulfate vs. phenylalanine and inosine vs. bilirubin were further selected using a stepwise decision tree to construct a classification model in order to differentiate PM-DILI from HBV and AIH. The model was highly effective with sensitivity of 92.3% and specificity of 88.9%. Conclusions: This study presents an integrated view of the metabolic features of PM-DILI induced by herbal medicine, and the four-metabolite decision tree technique imparts a potent tool in clinical diagnosis.
    Materialart: Online-Ressource
    ISSN: 2296-858X
    URL: Article
    DOI: 10.3389/fmed.2020.592434
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2020
    ZDB Id: 2775999-4
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 8
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    Corrigendum: Efficacy and Safety of Shenqu Xiaoshi Oral Liquid Compared With Domperidone Syrup in Children With Functional Dyspepsia
    Frontiers Media SA ; 2022
    In:  Frontiers in Pharmacology Vol. 13 ( 2022-6-13)
    Details
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 13 ( 2022-6-13)
    Materialart: Online-Ressource
    ISSN: 1663-9812
    URL: Article
    DOI: 10.3389/fphar.2022.920925
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2022
    ZDB Id: 2587355-6
    SSG: 15,3
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
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    Data_Sheet_1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Nutrition Vol. 9 ( 2022-6-14)
    Details
    In: Frontiers in Nutrition, Frontiers Media SA, Vol. 9 ( 2022-6-14)
    Kurzfassung: Diet management is a pivotal intervention for chronic kidney disease (CKD) patients. Dietary inflammation index (DII) is developed to evaluate the integral inflammatory potential of a diet pattern. However, research about the association between DII and mortality in CKD is limited. Objective We conducted a cohort study to investigate the relationship between energy-adjusted DII (E-DII) and the 5-year all-cause and cardiovascular mortality in CKD population. Materials and Methods CKD participants with complete E-DII data and death status from National Health and Nutrition Examination Survey (1999–2014) were involved in this study. E-DII was calculated based on dietary recall interviews. Smooth curve fitting, Kaplan–Meier survival analysis, and Cox proportional hazards models were used to evaluate the association between E-DII and the 5-year all cause and cardiovascular mortality. Subgroup analysis was also performed. Results A total of 7,207 participants were included (55.46% elderly and 46.54% male) in this study. The 5-year all-cause and cardiovascular mortality were 16.86 and 4.32%, respectively. Smooth curve fitting showed a “J” shape and near linear relationship between the E-DII score and the 5-year all-cause and cardiovascular mortality, respectively. In multivariate Cox proportional hazards models, the hazard ratios (95% confidence intervals [ CI ]) for the highest tertile of the E-DII were 1.33 (1.15, 1.54) for all-cause mortality, and 1.54 (1.15, 2.07) for cardiovascular mortality when compared with the lowest tertile of the E-DII. The subgroup analyses revealed relatively stronger associations between the E-DII and the mortality among CKD patients with other death risk factors. Conclusions Energy-adjusted dietary inflammatory index is independently related with the 5-year all-cause and cardiovascular mortality among CKD patients. Therefore, anti-inflammatory diet patterns should be recommended for CKD patients.
    Materialart: Online-Ressource
    ISSN: 2296-861X
    URL: Article
    URL: Article
    DOI: 10.3389/fnut.2022.899004
    DOI: 10.3389/fnut.2022.899004.s001
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2022
    ZDB Id: 2776676-7
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 10
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    Table_1.docx
    Frontiers Media SA ; 2018
    In:  Frontiers in Cellular Neuroscience Vol. 12 ( 2018-11-22)
    Details
    In: Frontiers in Cellular Neuroscience, Frontiers Media SA, Vol. 12 ( 2018-11-22)
    Materialart: Online-Ressource
    ISSN: 1662-5102
    URL: Article
    URL: Article
    DOI: 10.3389/fncel.2018.00455
    DOI: 10.3389/fncel.2018.00455.s001
    Sprache: Unbekannt
    Verlag: Frontiers Media SA
    Publikationsdatum: 2018
    ZDB Id: 2452963-1
    Standort Signatur Einschränkungen Verfügbarkeit
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