Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis
Abstract Background Diabetic kidney disease (DKD) is a common and severe complication of diabetes that can lead to end-stage renal disease with no cure. The first-line drugs recommended by clinical guidelines fail to achieve satisfactory effects for people with DKD. A Chinese herbal medicine Tangshe...
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Format: | Article |
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BMC
2024-01-01
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Series: | Systematic Reviews |
Online Access: | https://doi.org/10.1186/s13643-023-02446-4 |
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author | Meifang Liu Yuan Ming Di Anthony Lin Zhang Junhui Chen Ruobing Wang Juan Huang Lei Zhang Charlie Changli Xue Xusheng Liu |
author_facet | Meifang Liu Yuan Ming Di Anthony Lin Zhang Junhui Chen Ruobing Wang Juan Huang Lei Zhang Charlie Changli Xue Xusheng Liu |
author_sort | Meifang Liu |
collection | DOAJ |
description | Abstract Background Diabetic kidney disease (DKD) is a common and severe complication of diabetes that can lead to end-stage renal disease with no cure. The first-line drugs recommended by clinical guidelines fail to achieve satisfactory effects for people with DKD. A Chinese herbal medicine Tangshen Qushi Formula (TQF) shows preliminary efficacy and safety in preserving renal function for people with DKD, but the effects on comprehensive renal outcomes remain unclear. We will conduct a systematic review and meta-analysis to evaluate the effects of TQF herbs and their compounds identified from ultra-high performance liquid chromatography-MS/MS in diabetic animal models with renal outcomes. Methods This protocol complies with the guideline Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. We will include studies investigating the effects of TQF herbs and compounds on diabetic rats or mice with renal outcomes. Six electronic databases will be searched from their inception to February 2023. Quality assessment will be conducted using SYRCLE’s risk of bias tool. Standardized or weighted mean differences will be estimated for renal outcomes (creatinine, urea, proteinuria, histological changes, oxidative stress, inflammation, and kidney fibrosis). Data will be pooled using random-effects models. Heterogeneity across studies will be expressed as I 2. Sensitivity analyses will explore treatment effects in adjusted models and within subgroups. Funnel plots and Egger’s test will be used to explore publication bias. Discussion The results of this review will provide valuable insights into the potential effects of TQF in managing DKD. The limitation is that the included studies will be animal studies from specific databases, and the interpretation of the findings must be cautious. Systematic review registration PROSPERO CRD42023432895. Registered on 19 July 2023 ( https://www.crd.york.ac.uk/PROSPERO/#recordDetails ). |
first_indexed | 2024-03-08T14:19:39Z |
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id | doaj.art-e3a64f6e25fa41e6abeab9a68733395e |
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issn | 2046-4053 |
language | English |
last_indexed | 2024-03-08T14:19:39Z |
publishDate | 2024-01-01 |
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series | Systematic Reviews |
spelling | doaj.art-e3a64f6e25fa41e6abeab9a68733395e2024-01-14T12:13:31ZengBMCSystematic Reviews2046-40532024-01-011311810.1186/s13643-023-02446-4Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysisMeifang Liu0Yuan Ming Di1Anthony Lin Zhang2Junhui Chen3Ruobing Wang4Juan Huang5Lei Zhang6Charlie Changli Xue7Xusheng Liu8The China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT UniversityThe China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT UniversityThe China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT UniversityThe Second Clinical College of Guangzhou University of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineThe Second Clinical College of Guangzhou University of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicinePharmaceutical Research Department for New Drug Development and Authentication of Chinese Medicines, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineState Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineThe China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT UniversityState Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineAbstract Background Diabetic kidney disease (DKD) is a common and severe complication of diabetes that can lead to end-stage renal disease with no cure. The first-line drugs recommended by clinical guidelines fail to achieve satisfactory effects for people with DKD. A Chinese herbal medicine Tangshen Qushi Formula (TQF) shows preliminary efficacy and safety in preserving renal function for people with DKD, but the effects on comprehensive renal outcomes remain unclear. We will conduct a systematic review and meta-analysis to evaluate the effects of TQF herbs and their compounds identified from ultra-high performance liquid chromatography-MS/MS in diabetic animal models with renal outcomes. Methods This protocol complies with the guideline Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. We will include studies investigating the effects of TQF herbs and compounds on diabetic rats or mice with renal outcomes. Six electronic databases will be searched from their inception to February 2023. Quality assessment will be conducted using SYRCLE’s risk of bias tool. Standardized or weighted mean differences will be estimated for renal outcomes (creatinine, urea, proteinuria, histological changes, oxidative stress, inflammation, and kidney fibrosis). Data will be pooled using random-effects models. Heterogeneity across studies will be expressed as I 2. Sensitivity analyses will explore treatment effects in adjusted models and within subgroups. Funnel plots and Egger’s test will be used to explore publication bias. Discussion The results of this review will provide valuable insights into the potential effects of TQF in managing DKD. The limitation is that the included studies will be animal studies from specific databases, and the interpretation of the findings must be cautious. Systematic review registration PROSPERO CRD42023432895. Registered on 19 July 2023 ( https://www.crd.york.ac.uk/PROSPERO/#recordDetails ).https://doi.org/10.1186/s13643-023-02446-4 |
spellingShingle | Meifang Liu Yuan Ming Di Anthony Lin Zhang Junhui Chen Ruobing Wang Juan Huang Lei Zhang Charlie Changli Xue Xusheng Liu Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis Systematic Reviews |
title | Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis |
title_full | Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis |
title_fullStr | Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis |
title_full_unstemmed | Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis |
title_short | Renal-protective effects of Chinese medicinal herbs and compounds for diabetic kidney disease in animal models: protocol for systematic review and meta-analysis |
title_sort | renal protective effects of chinese medicinal herbs and compounds for diabetic kidney disease in animal models protocol for systematic review and meta analysis |
url | https://doi.org/10.1186/s13643-023-02446-4 |
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