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1.
Oxid Med Cell Longev ; 2022: 8063651, 2022.
Article in English | MEDLINE | ID: mdl-35281459

ABSTRACT

Glaucoma is the second leading cause of global blindness. The etiology of glaucoma is complicated. In addition to elevated intraocular pressure (IOP), several other mechanisms have been implicated in pathogenesis, such as oxidative stress and systemic inflammation. Serum albumin (ALB) and bilirubin (BIL) have been reported to have potent antioxidant properties and contribute to maintain redox homeostasis in various diseases. However, associations between these parameters and glaucoma remain mostly unknown. Here, we conducted a retrospective case-control study, revealing that serum ALB, total BIL (TBIL), and indirect BIL (IBIL) levels were markedly lower in glaucoma patients than those in healthy controls. Furthermore, the neutrophil-to-ALB (NAR), neutrophil-to-TBIL (NTBR), and neutrophil-to-IBIL (NIBR) ratios were greatly higher in glaucoma. Additionally, interestingly, lower ALB and BIL levels and higher NAR, NTBR, and NIBR were associated with severer glaucomatous visual impairment, and NAR, NTBR, and NIBR showed good accuracy as diagnostic tests for glaucoma severity, suggesting these indices might be useful as discriminative biomarkers for disease severity. Our current findings demonstrate associations between ALB, BIL, NAR, NTBR, NIBL, and glaucoma. It might be useful to use NAR, NTBR, and NIBR as predictive markers for disease severity and employ ALB/BIL as alternative therapy or adjuvant medicines in glaucoma patients.


Subject(s)
Bilirubin/metabolism , Biomarkers/blood , Glaucoma/blood , Serum Albumin/metabolism , Aged , Case-Control Studies , Female , Humans , Male , Middle Aged , Retrospective Studies
2.
Drug Des Devel Ther ; 12: 1205-1213, 2018.
Article in English | MEDLINE | ID: mdl-29785090

ABSTRACT

PURPOSE: There is no effective treatment for liver fibrosis, which is a common phase during the progression of many chronic liver diseases to cirrhosis. Previous studies found that Semen Brassicae therapy can effectively improve the clinical symptoms of patients with asthma, allergic rhinitis, and chronic lung diseases; however, its effects on liver fibrosis in rats and its possible mechanisms of action remain unclear. METHODS: Rats were injected intraperitoneally with 4% thioacetamide aqueous solution (5 mL·kg-1) at a dose of 200 mg·kg-1 twice a week for 8 consecutive weeks to establish the liver fibrosis model and were then treated with different concentrations of Semen Brassicae extract. After Semen Brassicae treatment, the morphology of the liver tissue was analyzed using hematoxylin and eosin and Masson's trichrome staining, and liver index and liver fibrosis grade were calculated. Thereafter, the levels of collagen-I, collagen-III, α-SMA, transforming growth factor (TGF)-ß1, p-Smad 2/3, Smad 2/3, Smad4, NF-κB-p65, p-NF-κB-p65, IL-1ß, IL-6, AKT, and p-AKT were determined using Western blotting. RESULTS: Compared with the untreated model group, the Semen Brassicae-treated group showed significantly decreased liver function indices; expression levels of collagen-I, collagen-III, and α-SMA; and hepatic fibrosis. Further studies also showed that the expression of TGF-ß1, Smad4, p-Smad 2/3/Smad 2/3, p-NF-κB-p65/NF-κB-p65, IL-1ß, IL-6, and p-AKT/AKT significantly decreased after the treatment. CONCLUSION: These results indicate that Semen Brassicae exhibits an anti-hepatic fibrosis effect, and the underlying mechanism of action may be related to the regulation of TGF-ß1/Smad, NF-κB, and AKT signaling pathways and the reduction of extracellular matrix deposition.


Subject(s)
Drugs, Chinese Herbal/pharmacology , Liver Cirrhosis/drug therapy , NF-kappa B/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Signal Transduction/drug effects , Smad Proteins/metabolism , Transforming Growth Factor beta1/metabolism , Animals , Brassica/chemistry , Disease Models, Animal , Drugs, Chinese Herbal/administration & dosage , Liver Cirrhosis/metabolism , Liver Cirrhosis/pathology , Male , Medicine, Chinese Traditional , Rats , Rats, Sprague-Dawley
3.
Stat Med ; 31(7): 606-18, 2012 Mar 30.
Article in English | MEDLINE | ID: mdl-21341295

ABSTRACT

OBJECTIVE: To investigate major methods of design and statistical analysis in controlled clinical acupuncture trials published in the West during the past six years (2003-2009) and, based on this analysis, to provide recommendations that address methodological issues and challenges in clinical acupuncture research. METHOD: PubMed was searched for acupuncture RCTs published in Western journals in English between 2003 and 2009. The keyword used was acupuncture. RESULTS: One hundred and eight qualified reports of acupuncture trials that included more than 30 symptoms/conditions were identified, analyzed, and grouped into efficacy (explanatory), effectiveness (pragmatically beneficial), and other (unspecified) studies. All were randomized controlled clinical trials (RCTs). In spite of significant improvement in the quality of acupuncture RCTs in the last 30 years, these reports show that some methodological issues and shortcomings in design and analysis remain. Moreover, the quality of the efficacy studies was not superior to that of the other types of studies. Research design and reporting problems include unclear patient criteria and inadequate practitioner eligibility, inadequate randomization, and blinding, deficiencies in the selection of controls, and improper outcome measurements. The problems in statistical analysis included insufficient sample sizes and power calculations, inadequate handling of missing data and multiple comparisons, and inefficient methods for dealing with repeated measure and cluster data, baseline value adjustment, and confounding issues. CONCLUSION: Despite recent advancements in acupuncture research, acupuncture RCTs can be improved, and more rigorous research methods should be carefully considered.


Subject(s)
Acupuncture Therapy/statistics & numerical data , Randomized Controlled Trials as Topic/statistics & numerical data , Humans , Outcome Assessment, Health Care/statistics & numerical data , Patient Selection , Research Design/statistics & numerical data , Sample Size
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