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Luong A, Cheung J, McMurtry S, Nelson C, Najac T, Ortiz P, Aronoff S, Henderer J, Zhang Y. Comparison of Machine Learning Models to a Novel Score in the Identification of Patients at Low Risk for Diabetic Retinopathy. OPHTHALMOLOGY SCIENCE 2025; 5:100592. [PMID: 39398982 PMCID: PMC11470168 DOI: 10.1016/j.xops.2024.100592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 10/15/2024]
Abstract
Purpose To develop an easily applicable predictor of patients at low risk for diabetic retinopathy (DR). Design An experimental study on the development and validation of machine learning models (MLMs) and a novel retinopathy risk score (RRS) to detect patients at low risk for DR. Subjects All individuals aged ≥18 years of age who participated in the telemedicine retinal screening initiative through Temple University Health Systems from October 1, 2016 through December 31, 2020. The subjects must have documented evidence of their diabetes mellitus (DM) diagnosis as well as a documented glycosylated hemoglobin (HbA1c) recorded in their chart within 6 months of the retinal screening photograph. Methods The charts of 1930 subjects (1590 evaluable) undergoing telemedicine screening for DR were reviewed, and 30 demographic and clinical parameters were collected. Diabetic retinopathy is a dichotomous variable where low risk is defined as no or mild retinopathy using the International Clinical Diabetic Retinopathy severity score. Five MLMs were trained to predict patients at low risk for DR using 1050 subjects and further underwent 10-fold cross validation to maximize its performance indicated by the area under the receiver operator characteristic curve (AUC). Additionally, a novel RRS is defined as the product of HbA1c closest to screening and years with DM. Retinopathy risk score was also applied to generate a predictive model. Main Outcome Measures The performance of the trained MLMs and the RRS model was compared using DeLong's test. The models were further validated using a separate unseen test set of 540 subjects. The performance of the validation models were compared using DeLong's test and chi-square tests. Results Using the test set, the AUC for the RRS was not statistically different from 4 out of 5 MLM. The error rate for predicting low-risk patients using the RRS was significantly lower than the naive rate (0.097 vs. 0.19; P < 0.0001), and it was comparable to the error rates of the MLMs. Conclusions This novel RRS is a potentially useful and easily deployable predictor of patients at low risk for DR. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Amanda Luong
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Jesse Cheung
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Shyla McMurtry
- Department of Internal Medicine at University of Kentucky HealthCare, Lexington, Kentucky
| | - Christina Nelson
- Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Tyler Najac
- Department of Emergency Medicine at St. Barnabas Hospital System, Bronx, New York
| | - Philippe Ortiz
- Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Stephen Aronoff
- Department of Pediatrics, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
- Department of Medical Education and Data Science, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Jeffrey Henderer
- Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Yi Zhang
- Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
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Arora A, Morya AK, Gupta PC, Menia NK, Nishant P, Gupta V. Intravitreal therapy for the management of diabetic retinopathy: A concise review. World J Exp Med 2024; 14:99235. [DOI: 10.5493/wjem.v14.i4.99235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 09/08/2024] [Accepted: 09/20/2024] [Indexed: 10/31/2024] Open
Abstract
Diabetic retinopathy (DR) is a serious microvascular complication of diabetes mellitus and may result in irreversible visual loss. Laser treatment has been the gold standard treatment for diabetic macular edema and proliferative diabetic retinopathy for many years. Of late, intravitreal therapy has emerged as a cornerstone in the management of DR. Among the diverse pharmacotherapeutic options, anti-vascular endothelial growth factor agents have demonstrated remarkable efficacy by attenuating neovascularization and reducing macular edema, thus preserving visual acuity in DR patients.
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Affiliation(s)
- Atul Arora
- Teleophthalmology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, Punjab, India
| | - Arvind K Morya
- Department of Ophthalmology, All India Institute of Medical Sciences, Hyderabad 508126, Telangana, India
| | - Parul C Gupta
- Department of Ophthalmology, Post Graduate Institute of Medical Education & Research, Chandigarh 160012, Punjab, India
| | - Nitin K Menia
- Department of Ophthalmology, All India Institute of Medical Sciences, Vijaypur 180001, Jammu and Kashmīr, India
| | - Prateek Nishant
- Department of Ophthalmology, ESIC Medical College, Patna 801103, Bihār, India
| | - Vishali Gupta
- Department of Ophthalmology, Post Graduate Institute of Medical Education & Research, Chandigarh 160012, Punjab, India
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Hu Q, Zhang X, Huang J, Peng H, Sun Y, Sang W, Jiang B, Sun D. The STAT1-SLC31A1 axis: Potential regulation of cuproptosis in diabetic retinopathy. Gene 2024; 930:148861. [PMID: 39153705 DOI: 10.1016/j.gene.2024.148861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/18/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND By identifying molecular biological markers linked to cuproptosis in diabetic retinopathy (DR), new pathobiological pathways and more accessible diagnostic markers can be developed. METHODS The datasets related to DR were acquired from the Gene Expression Omnibus database, while genes associated with cuproptosis were sourced from previously published compilations. Consensus clustering was conducted to delineate distinct DR subclasses. Feature genes were identified utilizing weighted correlation network analysis (WGCNA). Additionally, two machine-learning algorithms were employed to refine the selection of feature genes. Finally, we conducted preliminary validation experiments to ascertain the involvement of cuproptosis in DR development and the transcriptional regulation of critical genes using both the streptozotocin-induced diabetic mouse model and the high glucose-induced BV2 model. RESULTS In the STZ-induced diabetic mouse retinas, a decrease in the expression of cuproptosis signature proteins (FDX1, DLAT, and NDUFS8) suggested the occurrence of cuproptosis in DR. Subsequently, the expression of eight cuproptosis differential genes was validated through the STZ-induced diabetes and oxygen-induced retinopathy (OIR) models, with the key gene SLC31A1 showing upregulation in both models and dataset species. Further analyses, including weighted gene co-expression network analysis, GSVA, and immune infiltration analysis, indicated a close correlation between cuproptosis and microglia function. Additionally, validation in an in vitro model of microglia indicated the occurrence of cuproptosis in microglia under high glucose conditions, alongside abnormal expression of STAT1 with SLC31A1. CONCLUSION Our findings suggest that STAT1/SLC31A1 may pave the way for a deeper comprehension of the mechanistic basis of DR and offer potential therapeutic avenues.
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Affiliation(s)
- Qiang Hu
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Future Medical Laboratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xue Zhang
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Future Medical Laboratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jiayang Huang
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Future Medical Laboratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hongsong Peng
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Future Medical Laboratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yage Sun
- The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Wei Sang
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China; Department of Ophthalmology, Qiqihar Eye & ENT Hospital, Qiqihar, China
| | - Bo Jiang
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Dawei Sun
- Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
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Santos AR, Lopes M, Santos T, Reste-Ferreira D, Marques IP, Yamaguchi TCN, Miranda T, Mendes L, Martinho ACV, Pearce L, Cunha-Vaz J. Intraretinal Microvascular Abnormalities in Eyes with Advanced Stages of Nonproliferative Diabetic Retinopathy: Comparison Between UWF-FFA, CFP, and OCTA-The RICHARD Study. Ophthalmol Ther 2024; 13:3161-3173. [PMID: 39460896 DOI: 10.1007/s40123-024-01054-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 10/04/2024] [Indexed: 10/28/2024] Open
Abstract
INTRODUCTION This study aimed to evaluate intraretinal microvascular abnormalities (IRMA) in eyes with advanced nonproliferative diabetic retinopathy (NPDR) using multimodal approach in co-located areas focusing on central retina (up to 50°) and to look at possible correlations between IRMA and other structural changes, like ischemia and presence of microaneurysms. METHODS The RICHARD study (NCT05112445) included 60 eyes from 60 patients with type 2 diabetes with moderate-severe NPDR, diabetic retinopathy severity levels 43, 47, and 53 (DRSS). IRMA were defined as capillary tortuosity covering a minimum circular area of 300 µm (calculated to correspond to the Early Treatment Diabetic Retinopathy Study standard photo 8A) and were identified using multimodal imaging with distinct fields of view (FoV): color fundus photography (CFP) using a Topcon TRC-50DX camera (Topcon Medical Systems, Japan), Optos California ultra wide field fundus fluorescein angiography (UWF-FFA) (Optos plc, UK), and swept-source optical coherence tomography angiography (SS-OCTA) (PLEX® Elite 9000, ZEISS, USA). Different areas of the retina were examined: central macula (up to 20°) and posterior pole (between 20° and 50°). RESULTS Multimodal imaging was used to identify IRMA in co-located areas (FoV < 50°) including UWF-FFA, CFP, and SS-OCTA. In eyes with DRSS levels 47 and 53, IRMA were identified in both areas of the retina, while in eyes with DRSS level 43, IRMA were detected only outside of the central macula (FoV > 20°). Our results show that when evaluating the presence of IRMA (FoV < 50°), UWF-FFA detected 203 IRMA, SS-OCTA detected 133 IRMA, and CFP detected 104 IRMA. Our results also show that the presence of IRMA was positively associated with presence of microaneurysms. CONCLUSIONS Identification of IRMA in eyes with advanced NPDR is better achieved by UWF-FFA than CFP and SS-OCTA. A statistically significant correlation was found between the presence of IRMA and the increase in number of microaneurysms. TRIAL REGISTRATION ClinicalTrials.gov, identifier NCT05112445.
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Affiliation(s)
- Ana R Santos
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
- CORC - Coimbra Ophthalmology Reading Centre, Coimbra, Portugal
- Center for Translational Health and Medical Biotechnology Research (TBIO)/Health Research Network (RISE-Health), ESS, Polytechnic of Porto, Porto, Portugal
| | - Marta Lopes
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
| | - Torcato Santos
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
| | - Débora Reste-Ferreira
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
| | - Inês P Marques
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
- CORC - Coimbra Ophthalmology Reading Centre, Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | | | - Telmo Miranda
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
| | - Luís Mendes
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
| | - António C V Martinho
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal
- Eye Clinic, University Hospital Basel, Basel, Switzerland
| | - Liz Pearce
- Institute of Ophthalmology, University College London, London, United Kingdom
| | - José Cunha-Vaz
- AIBILI - Association for Innovation and Biomedical Research On Light and Image, Coimbra, Portugal.
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
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Ouyang H, Xie Y, Du A, Dong S, Zhou S, Lu B, Wang Z, Ji L. Chlorogenic acid ameliorates non-proliferative diabetic retinopathy via alleviating retinal inflammation through targeting TNFR1 in retinal endothelial cells. Int Immunopharmacol 2024; 141:112929. [PMID: 39153307 DOI: 10.1016/j.intimp.2024.112929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/31/2024] [Accepted: 08/10/2024] [Indexed: 08/19/2024]
Abstract
As a prominent complication of diabetes mellitus (DM) affecting microvasculature, diabetic retinopathy (DR) originates from blood-retinal barrier (BRB) damage. Natural polyphenolic compound chlorogenic acid (CGA) has already been reported to alleviate DR. This study delves into the concrete mechanism of the CGA-supplied protection against DR and elucidates its key target in retinal endothelial cells. DM in mice was induced using streptozotocin (STZ). CGA mitigated BRB dysfunction, leukocytes adhesion and the formation of acellular vessels in vivo. CGA suppressed retinal inflammation and the release of tumor necrosis factor-α (TNFα) by inhibiting nuclear factor kappa-B (NFκB). Furthermore, CGA reduced the TNFα-initiated adhesion of peripheral blood mononuclear cell (PBMC) to human retinal endothelial cell (HREC). CGA obviously decreased the TNFα-upregulated expression of vascular cell adhesion molecule-1 (VCAM1) and intercellular adhesion molecule-1 (ICAM1), and abrogated the TNFα-induced NFκB activation in HRECs. All these phenomena were reversed by overexpressing type 1 TNF receptor (TNFR1) in HRECs. The CGA-provided improvement on leukocytes adhesion and retinal inflammation was disappeared in mice injected with an endothelial-specific TNFR1 overexpression adeno-associated virus (AAV). CGA reduced the interaction between TNFα and TNFR1 through binding to TNFR1 in retinal endothelial cells. In summary, excepting reducing TNFα expression via inhibiting retinal inflammation, CGA also reduced the adhesion of leukocytes to retinal vessels through decreasing VCAM1 and ICAM1 expression via blocking the TNFα-initiated NFκB activation by targeting TNFR1 in retinal endothelial cells. All of those mitigated retinal inflammation, ultimately alleviating BRB breakdown in DR.
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MESH Headings
- Animals
- Diabetic Retinopathy/drug therapy
- Diabetic Retinopathy/metabolism
- Diabetic Retinopathy/immunology
- Receptors, Tumor Necrosis Factor, Type I/metabolism
- Receptors, Tumor Necrosis Factor, Type I/genetics
- Endothelial Cells/drug effects
- Endothelial Cells/metabolism
- Chlorogenic Acid/pharmacology
- Chlorogenic Acid/therapeutic use
- Humans
- Tumor Necrosis Factor-alpha/metabolism
- Mice, Inbred C57BL
- Male
- NF-kappa B/metabolism
- Mice
- Retina/drug effects
- Retina/pathology
- Retina/metabolism
- Diabetes Mellitus, Experimental/drug therapy
- Diabetes Mellitus, Experimental/metabolism
- Intercellular Adhesion Molecule-1/metabolism
- Vascular Cell Adhesion Molecule-1/metabolism
- Cell Adhesion/drug effects
- Blood-Retinal Barrier/drug effects
- Blood-Retinal Barrier/metabolism
- Anti-Inflammatory Agents/pharmacology
- Anti-Inflammatory Agents/therapeutic use
- Cells, Cultured
- Leukocytes, Mononuclear/drug effects
- Leukocytes, Mononuclear/metabolism
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Affiliation(s)
- Hao Ouyang
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; Department of Hepatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yumin Xie
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ao Du
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Shiyuan Dong
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Siyan Zhou
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Bin Lu
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zhengtao Wang
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Lili Ji
- The MOE Key Laboratory for Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines and The SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Ji R, Du Y, Wang Y, Tian J, Wang Z, Peng M, Hao G, Xing Y, Xu Y, Ye D, Liu Y, Han J, Wang W. Stigmast-4-en-3-one from Euonymus alatus (Thunb.) Siebold. improves diabetic retinopathy and angiogenesis mediated by glucocorticoids receptor. JOURNAL OF ETHNOPHARMACOLOGY 2024; 334:118567. [PMID: 38996951 DOI: 10.1016/j.jep.2024.118567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/18/2024] [Accepted: 07/09/2024] [Indexed: 07/14/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Euonymus alatus (Thunb.) Siebold. (EA), a traditional Chinese medicine, is widely used in the treatment of diabetes. Our group has previously found that EA could treat diabetic retinopathy (DR) and stigmast-4-en-3-one (Numbered E6) is the active substance responsible for inhibiting angiogenesis in vitro by EA. However, the effects and mechanisms of E6 in the treatment of DR is still unknown. AIM OF THE STUDY The aim of this study was to investigate the effects and mechanisms of E6 in EA on DR. Additionally, a comparison was made between the effects of E6 and triamcinolone acetonide (TA), as well as the side effects of E6 and dexamethasone. MATERIALS AND METHODS Ocular affinity assessment and pharmacokinetic parameter prediction were conducted to evaluate the potential of E6 to treat DR. Retinal endothelial cells were used to investigate the in vitro inhibitory effect of E6 on vascular proliferation. Additionally, chicken embryos, zebrafish, and mice were used to investigate the in vivo anti-vascular proliferation effect of E6. Finally, diabetic mice were used to investigate whether E6 improves diabetic retinopathy and to compare its efficacy with that of TA. We then used network pharmacology to study the targets of E6 and performed molecular docking; followed by immunofluorescence experiments, ELISA, Western blot, and tube formation experiments to further investigate its mechanism. Finally, we compared the side effects of E6 with those of dexamethasone. RESULTS E6 was found to have an affinity for the eye and to inhibit vascular proliferation both in vivo and in vitro. Moreover, E6 was found to be more efficacious than TA in the treatment of DR. Molecular docking experiments predicted that the glucocorticoid receptor (GR) is a potential target of E6, and immunofluorescence analyses confirmed that E6 upregulated the expression of the GR in the retina of hyperglycemic mice. In addition, western blotting results and tube formation experiments showed that E6 also attenuated angiogenesis by inhibiting the Hippo and VEGF pathways. Finally, by comparing the effects of E6 and dexamethasone on glucose regulation and osteoporosis, E6 was found to have fewer side effects. CONCLUSIONS E6 is a highly effective drug for the treatment of DR, superior to TA and with fewer side effects than dexamethasone. Its mechanism involves the activation of glucocorticoid receptor and inhibition of Hippo and VEGF pathways to alleviate angiogenesis and inflammation. This study is the first to investigate the role and mechanism of E6 in improving DR. The findings suggest that E6 has unique advantages in the treatment of DR.
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Affiliation(s)
- Ruifang Ji
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Yu Du
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Yong Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China; College of Life Science, Beijing University of Chinese Medicine, Beijing, 100029, China; Beijing Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Jingyun Tian
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Zhenglin Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China; Beijing Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Meizhong Peng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China; Beijing Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Gaimei Hao
- Basic Theory of Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100091, China.
| | - Yantao Xing
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Yichen Xu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China; Beijing Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Danyang Ye
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Yonggang Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Jing Han
- Institute of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China; Beijing Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Wei Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China; Beijing Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Beijing, 100029, China.
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7
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Ren M, Xu Q, Luan J, Ni Y, Xie B. Mir-509-3p targets SLC25A13 to regulate ferroptosis and protect retinal endothelial cells in diabetic retinopathy. Acta Diabetol 2024:10.1007/s00592-024-02400-3. [PMID: 39508857 DOI: 10.1007/s00592-024-02400-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 10/16/2024] [Indexed: 11/15/2024]
Abstract
AIMS Diabetic retinopathy (DR) is a major complication of diabetes that leads to vision impairment. The aim of this study was to investigate the regulatory role of miR-509-3p in DR, focusing on its interaction with SLC25A13 and its impact on retinal endothelial cell function, oxidative stress, apoptosis, and ferroptosis. METHODS HRVECs were cultured in high-glucose (HG) conditions to establish an in vitro DR model. miR-509-3p mimics and inhibitors were transfected into HRVECs to assess their effects on SLC25A13 expression, cell viability, apoptosis, reactive oxygen species (ROS) levels, and ferroptosis markers. A luciferase reporter assay and RNA immunoprecipitation were used to confirm the binding of miR-509-3p to SLC25A13 mRNA. For in vivo validation, agomiR-509-3p was injected into the vitreous of DR mice, and retinal thickness, pathological damage, and apoptosis were evaluated. Ferroptosis-related markers (GPX4, TlR4, ASCL4) were analyzed in HRVECs to explore the mechanism of miR-509-3p in regulating ferroptosis. RESULTS In vitro, miR-509-3p significantly decreased SLC25A13 expression, resulting in enhanced HRVEC viability, reduced apoptosis, and lower ROS levels under HG conditions. Overexpression of SLC25A13 reversed these protective effects, while miR-509-3p knockdown exacerbated oxidative stress and apoptosis. In vivo, agomiR-509-3p increased retinal thickness, reduced pathological damage, and decreased apoptosis in DR mice. Ferroptosis marker analysis revealed that miR-509-3p upregulated GPX4 expression and downregulated TlR4 and ASCL4, whereas SLC25A13 overexpression reversed these effects, further linking miR-509-3p to the regulation of ferroptosis. CONCLUSIONS miR-509-3p exerts a protective effect in DR by targeting SLC25A13, reducing oxidative stress, apoptosis, and ferroptosis in retinal endothelial cells. These findings highlight the potential of miR-509-3p as a therapeutic target for DR management.
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Affiliation(s)
- Meiqing Ren
- Department of Ophthalmology, School of medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Qian Xu
- Department of Ophthalmology, School of medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Jie Luan
- Department of Ophthalmology, School of medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Yan Ni
- Department of Ophthalmology, School of medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Bo Xie
- The Diabetes Research Institute, Southeast University, Nanjing, 210009, China.
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8
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Toonsi S, Gauran II, Ombao H, Schofield PN, Hoehndorf R. Causal relationships between diseases mined from the literature improve the use of polygenic risk scores. BIOINFORMATICS (OXFORD, ENGLAND) 2024; 40:btae639. [PMID: 39460944 DOI: 10.1093/bioinformatics/btae639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 10/02/2024] [Accepted: 10/22/2024] [Indexed: 10/28/2024]
Abstract
MOTIVATION Identifying causal relations between diseases allows for the study of shared pathways, biological mechanisms, and inter-disease risks. Such causal relations can facilitate the identification of potential disease precursors and candidates for drug re-purposing. However, computational methods often lack access to these causal relations. Few approaches have been developed to automatically extract causal relationships between diseases from unstructured text, but they are often only focused on a small number of diseases, lack validation of the extracted causal relations, or do not make their data available. RESULTS We automatically mined statements asserting a causal relation between diseases from the scientific literature by leveraging lexical patterns. Following automated mining of causal relations, we mapped the diseases to the International Classification of Diseases (ICD) identifiers to allow the direct application to clinical data. We provide quantitative and qualitative measures to evaluate the mined causal relations and compare to UK Biobank diagnosis data as a completely independent data source. The validated causal associations were used to create a directed acyclic graph that can be used by causal inference frameworks. We demonstrate the utility of our causal network by performing causal inference using the do-calculus, using relations within the graph to construct and improve polygenic risk scores, and disentangle the pleiotropic effects of variants. AVAILABILITY AND IMPLEMENTATION The data are available through https://github.com/bio-ontology-research-group/causal-relations-between-diseases.
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Affiliation(s)
- Sumyyah Toonsi
- Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
| | - Iris Ivy Gauran
- Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
| | - Hernando Ombao
- Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
| | - Paul N Schofield
- Department of Physiology, Development & Neuroscience, University of Cambridge, Cambridge CB2 3EG, United Kingdom
| | - Robert Hoehndorf
- Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
- SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
- KAUST Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
- KAUST Center of Excellence for Generative AI, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
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Jiang T, Dong Y, Zhu W, Wu T, Chen L, Cao Y, Yu X, Peng Y, Wang L, Xiao Y, Zhong T. Underlying mechanisms and molecular targets of genistein in the management of type 2 diabetes mellitus and related complications. Crit Rev Food Sci Nutr 2024; 64:11543-11555. [PMID: 37497995 DOI: 10.1080/10408398.2023.2240886] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Diabetes mellitus (DM) is a chronic metabolic disease caused by a complex interaction of genetic and environmental factors and is characterized by persistent hyperglycemia. Long-term hyperglycemia can cause macrovascular and microvascular damage, and compromise the heart, brain, kidney, peripheral nerves, eyes and other organs, leading to serious complications. Genistein, a phytoestrogen derived from soybean, is known for its various biological activities and therapeutic properties. Recent studies found that genistein not only has hypoglycemic activity but can also decrease insulin resistance. In addition, genistein has particular activity in the prevention and treatment of diabetic complications, such as nephropathy, cardiovascular disease, osteoarthrosis, encephalopathy and retinopathy. Therefore, the purpose of this review is to summarize the latest medical research and progress of genistein in DM and related complications and highlights its potential molecular mechanisms and therapeutic targets. Meanwhile, evidence is provided for the development and application of genistein as a potential drug or functional food in the prevention and treatment of diabetes and its related complications.
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Affiliation(s)
- Tao Jiang
- School of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
- School of Pharmacy and Food Science, Zhuhai College of Science and Technology, Zhuhai, Guangdong, China
| | - Yuhe Dong
- School of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Wanying Zhu
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Tong Wu
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Linyan Chen
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Yuantong Cao
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Xi Yu
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Ye Peng
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Ling Wang
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Ying Xiao
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
| | - Tian Zhong
- Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China
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Breeyear JH, Mitchell SL, Nealon CL, Hellwege JN, Charest B, Khakharia A, Halladay CW, Yang J, Garriga GA, Wilson OD, Basnet TB, Hung AM, Reaven PD, Meigs JB, Rhee MK, Sun Y, Lynch MG, Sobrin L, Brantley MA, Sun YV, Wilson PW, Iyengar SK, Peachey NS, Phillips LS, Edwards TL, Giri A. Development of electronic health record based algorithms to identify individuals with diabetic retinopathy. J Am Med Inform Assoc 2024; 31:2560-2570. [PMID: 39158361 PMCID: PMC11491608 DOI: 10.1093/jamia/ocae213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 07/17/2024] [Accepted: 07/30/2024] [Indexed: 08/20/2024] Open
Abstract
OBJECTIVES To develop, validate, and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHRs). MATERIALS AND METHODS We developed and validated electronic health record (EHR)-based algorithms to identify DR cases and individuals with type I or II diabetes without DR (controls) in 3 independent EHR systems: Vanderbilt University Medical Center Synthetic Derivative (VUMC), the VA Northeast Ohio Healthcare System (VANEOHS), and Massachusetts General Brigham (MGB). Cases were required to meet 1 of the following 3 criteria: (1) 2 or more dates with any DR ICD-9/10 code documented in the EHR, (2) at least one affirmative health-factor or EPIC code for DR along with an ICD9/10 code for DR on a different day, or (3) at least one ICD-9/10 code for any DR occurring within 24 hours of an ophthalmology examination. Criteria for controls included affirmative evidence for diabetes as well as an ophthalmology examination. RESULTS The algorithms, developed and evaluated in VUMC through manual chart review, resulted in a positive predictive value (PPV) of 0.93 for cases and negative predictive value (NPV) of 0.91 for controls. Implementation of algorithms yielded similar metrics in VANEOHS (PPV = 0.94; NPV = 0.86) and lower in MGB (PPV = 0.84; NPV = 0.76). In comparison, the algorithm for DR implemented in Phenome-wide association study (PheWAS) in VUMC yielded similar PPV (0.92) but substantially reduced NPV (0.48). Implementation of the algorithms to the Million Veteran Program identified over 62 000 DR cases with genetic data including 14 549 African Americans and 6209 Hispanics with DR. CONCLUSIONS/DISCUSSION We demonstrate the robustness of the algorithms at 3 separate healthcare centers, with a minimum PPV of 0.84 and substantially improved NPV than existing automated methods. We strongly encourage independent validation and incorporation of features unique to each EHR to enhance algorithm performance for DR cases and controls.
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Affiliation(s)
- Joseph H Breeyear
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
| | - Sabrina L Mitchell
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Department of Ophthalmology and Visual Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Cari L Nealon
- Eye Clinic, VA Northeast Ohio Healthcare System, Cleveland, OH 44106, United States
| | - Jacklyn N Hellwege
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37232, United States
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Brian Charest
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02111, United States
| | - Anjali Khakharia
- VA Atlanta Healthcare System, Decatur, GA 30033, United States
- Department of Medicine and Geriatrics, Emory University School of Medicine, Atlanta, GA 30307, United States
| | | | - Janine Yang
- Department of Ophthalmology, Mass Eye and Ear Infirmary, Harvard Medical School, Boston, MA 02114, United States
| | - Gustavo A Garriga
- Division of Quantitative and Clinical Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Otis D Wilson
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Til B Basnet
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37232, United States
- Division of Quantitative and Clinical Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Adriana M Hung
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
| | - Peter D Reaven
- Phoenix VA Health Care System, Phoenix, AZ 85012, United States
- College of Medicine, University of Arizona, Phoenix, AZ 85721, United States
| | - James B Meigs
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, United States
- Department of Medicine, Harvard Medical School, Boston, MA 02115, United States
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Mary K Rhee
- VA Atlanta Healthcare System, Decatur, GA 30033, United States
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30307, United States
| | - Yang Sun
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA 94305, United States
| | - Mary G Lynch
- VA Atlanta Healthcare System, Decatur, GA 30033, United States
| | - Lucia Sobrin
- Department of Ophthalmology, Mass Eye and Ear Infirmary, Harvard Medical School, Boston, MA 02114, United States
| | - Milam A Brantley
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Department of Ophthalmology and Visual Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37232, United States
| | - Yan V Sun
- VA Atlanta Healthcare System, Decatur, GA 30033, United States
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30307, United States
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA 30307, United States
| | - Peter W Wilson
- VA Atlanta Healthcare System, Decatur, GA 30033, United States
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30307, United States
| | - Sudha K Iyengar
- Research Service, VA Northeast Ohio Healthcare System, Cleveland, OH 44106, United States
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, United States
| | - Neal S Peachey
- Research Service, VA Northeast Ohio Healthcare System, Cleveland, OH 44106, United States
- Cole Eye Institute, Cleveland Clinic, Cleveland, OH 44106, United States
- Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, United States
| | - Lawrence S Phillips
- VA Atlanta Healthcare System, Decatur, GA 30033, United States
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30307, United States
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
| | - Ayush Giri
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States
- VA Tennessee Valley Healthcare System (626), Nashville, TN 37212, United States
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37232, United States
- Division of Quantitative and Clinical Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN 37232, United States
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Xu X, Fu Y, Luo D, Zhang L, Huang X, Chen Y, Lei C, Liu J, Li S, Yu Z, Lin Y, Zhang M. Therapeutic effects of tetrahedral framework nucleic acids and tFNAs-miR22 on retinal ischemia/reperfusion injury. Cell Prolif 2024; 57:e13695. [PMID: 39086110 PMCID: PMC11533083 DOI: 10.1111/cpr.13695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/29/2024] [Accepted: 06/06/2024] [Indexed: 08/02/2024] Open
Abstract
Retinal ischemia/reperfusion injury (RI/R) is a common pathological process in ophthalmic diseases, which can cause severe visual impairment. The mechanisms underlying RI/R damage and repair are still unclear. Scholars are actively exploring effective intervention strategies to restore impaired visual function. With the development of nucleic acid nanomaterials, tetrahedral framework nucleic acids (tFNAs) have shown promising therapeutic potential in various fields such as stem cells, biosensors, and tumour treatment due to their excellent biological properties. Besides, miRNA-22-3p (miR-22), as an important regulatory factor in neural tissue, has been proven to have positive effects in various neurodegenerative diseases. By stably constructing a complex of tetrahedral framework nucleic acids miR22 (tFNAs-miR22), we observed that tFNAs-miR22 had a positive effect on the repair of RI/R injury in retinal neural tissue. Previous studies have shown that tFNAs can effectively deliver miR-22 into damaged retinal neurons, subsequently exerting neuroprotective effects. Interestingly, we found that there was a certain synergistic effect between tFNAs and miR-22. tFNAs-miR22 can selectively activated the ERK1/2 signalling pathway to reduce neuronal apoptosis, accelerate cell proliferation, and restore synaptic functional activity. In this study, we established a simple yet effective small molecule drug for RI/R treatment which may become a promising neuroprotectant for treating this type of vision impairment disease in the future.
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Affiliation(s)
- Xiaoxiao Xu
- Department of Ophthalmology, and Research Laboratory of Macular Disease, West China HospitalSichuan UniversityChengduChina
- Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduChina
| | - Yanyan Fu
- Department of Ophthalmology, and Research Laboratory of Macular Disease, West China HospitalSichuan UniversityChengduChina
| | - Delun Luo
- Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduChina
| | - Lina Zhang
- National Engineering Research Center for Biomaterials, College of Biomedical EngineeringSichuan UniversityChengduChina
| | - Xi Huang
- Department of Ophthalmology, and Research Laboratory of Macular Disease, West China HospitalSichuan UniversityChengduChina
| | - Yingying Chen
- Department of Ophthalmology, and Research Laboratory of Macular Disease, West China HospitalSichuan UniversityChengduChina
| | - Chunyan Lei
- Department of Ophthalmology, and Research Laboratory of Macular Disease, West China HospitalSichuan UniversityChengduChina
| | - Jinnan Liu
- Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduChina
| | - Shiqi Li
- Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduChina
| | - Zhouyuan Yu
- Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduChina
| | - Yunfeng Lin
- State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Department of Maxillofacial Surgery, West China Stomatological HospitalSichuan UniversityChengduChina
| | - Meixia Zhang
- Department of Ophthalmology, and Research Laboratory of Macular Disease, West China HospitalSichuan UniversityChengduChina
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12
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Hirano T, Tanabe K, Murata T. Factors Influencing Treatment Preference in Patients with Diabetic Macular Edema: A Study Using Conjoint Analysis. Ophthalmol Ther 2024; 13:2887-2901. [PMID: 39287765 PMCID: PMC11493937 DOI: 10.1007/s40123-024-01026-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 08/27/2024] [Indexed: 09/19/2024] Open
Abstract
INTRODUCTION Despite the wide range of treatment options available for diabetic macular edema (DME), adherence to treatment remains a barrier. Therefore, this study used conjoint analysis to examine the factors that patients with DME prioritize when choosing a course of treatment and investigated differences in quality of life and levels of disease self-management in patients with or without experience of anti-vascular endothelial growth factor (VEGF) treatment. METHODS A cross-sectional study was conducted through an online survey in Japan between May 31, 2022, and June 30, 2022. Questionnaires were sent to 27,236 individuals registered in the diabetes panels, with experience of treatment for DME within the last 10 years. Conjoint analysis was employed to calculate the relative importance, i.e., degree of influence on patients' treatment choices, considering the trade-offs among five factors: cost per treatment, frequency of visits, anticipated post-treatment visual acuity, physician's explanation about disease and treatment, and frequency of treatment-related side effects. RESULTS A total of 237 responses were used to assess the relative importance of cost per treatment, frequency of visits, anticipated post-treatment visual acuity, physician's explanation about the disease, treatment, and frequency of treatment-related side effects using conjoint analysis. The importance of each factor was anticipated post-treatment visual acuity at 30.0, frequency of treatment-related side effects at 25.5, treatment frequency at 17.7, cost per treatment at 16.5, and physician explanation about the disease and treatment at 10.4. The average EuroQoL 5 dimension 5 level index value in patients with and without anti-VEGF treatment experience was 0.785 and 0.825, respectively, with no major difference. CONCLUSIONS Anticipated post-treatment visual acuity was identified as the most important factor in selecting a treatment regardless of the anti-vascular endothelial growth factor treatment experience demonstrating when patients with DME make treatment choices, anticipated post-treatment visual acuity is prioritized over treatment frequency and cost.
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Affiliation(s)
- Takao Hirano
- Department of Ophthalmology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan.
| | - Koji Tanabe
- Novartis Pharma K.K, 1-23-1 Toranomon, Minato-Ku, Tokyo, 105-6333, Japan
| | - Toshinori Murata
- Department of Ophthalmology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
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Arruda MP, Lima RV, Hira S, Moreira JLML, Barbosa LIT, Zinher MT, Souza CL, Valle GSD. A Comprehensive Meta-Analysis on the Role of Analgesics and Anti-Inflammatories in Pan-Retinal Photocoagulation. Am J Ophthalmol 2024; 267:112-121. [PMID: 38942228 DOI: 10.1016/j.ajo.2024.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/10/2024] [Accepted: 06/17/2024] [Indexed: 06/30/2024]
Abstract
PURPOSE Pan-retinal photocoagulation (PRP) is the mainstay of treatment for proliferative diabetic retinopathy (PDR), reducing the risk of severe vision loss. Pain poses a potential obstacle to effective laser delivery and patient compliance. Therefore, implementing pain relief strategies can enhance both treatment efficacy and patient comfort. DESIGN A systematic review and meta-analysis. METHODS We conducted a systematic review and meta-analysis according to PRISMA guidelines. The PubMed, Embase and Cochrane Central Register of Controlled Trials databases were searched for randomized controlled trials (RCTs) that enrolled patients undergoing PRP due to DR and compared analgesics or non-steroidal anti-inflammatory drugs (NSAID) to placebo. Pain was evaluated with the visual analogue scale. The version 2 of the Cochrane Collaboration's Risk of Bias in Randomized Controlled Trials tool and its version for crossover trials were used to assess the risk of bias. The Grading of Recommendations, Assessment, Development, and Evaluation tool was used to measure the certainty of evidence. RESULTS A total of 13 studies were included, comprising 1404 eyes from RCTs, nine of which were crossover. Patients who were administered analgesia reported a significantly lower pain sensitivity compared to those who received placebo (Standardized mean difference [SMD] -0.38; 95% confidence interval [CI] -0.58, -0.17; P < .01; I2 = 69%). Subgroup analysis of systemic administration of analgesics/NSAIDs (metamizole, Entonox, acetaminophen, ibuprofen, caffeine, mefenamic acid, intramuscular ketorolac tromethamine, and potassium diclofenac) also showed a statistically significant reduction in pain when compared to placebo (SMD -0.28; 95% CI -0.50, -0.07; P < .01; I2 = 43%). Exclusive eye drops administration (ketorolac tromethamine 0.5% and sodium diclofenac 0.1%) also showed a significant difference in pain sensitivity (SMD -0.46; 95% CI -0.88, -0.05; I2 = 83%), however with a more significant heterogeneity. CONCLUSIONS The results of this meta-analysis including over 1000 patients demonstrated that the use of analgesics significantly reduced pain sensitivity during PRP, and systemic analgesia is potentially better than topical administration when compared to placebo.
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Affiliation(s)
- Mateus P Arruda
- From the Department of Ophthalmology (M.P.A.), Instituto Penido Burnier, São Paulo, Brazil.
| | - Rian V Lima
- Universidade de Fortaleza (R.V.L.), Fortaleza, Ceará, Brazil
| | - Sara Hira
- FMH College of Medicine & Dentistry (S.H.), Lahore, Punjab, Pakistan
| | - João L M L Moreira
- Universidade Estadual de Feira de Santana (J.L.M.L.M.), Feira de Santana, Bahia, Brazil
| | | | - Mariana T Zinher
- Hospital Infantil Joana de Gusmão (M.T.Z.), Florianópolis, Santa Catarina, Brazil
| | - Camila L Souza
- Pontifícia Universidade Católica de Campinas (C.L.S.), São Paulo, Brazil
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14
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Boyle J, Vignarajan J, Greenup EP, Walters S, Byrne N, Henderson E, Brian G, Walker J, Mahendrarajah T, Karthik H, Cook J, Neilson C, Tame S, Malavisi P. Improving Access to Specialist Eye Care for Indigenous Australians via Telehealth: An Observational Cohort Study. Telemed J E Health 2024; 30:2721-2730. [PMID: 39072681 DOI: 10.1089/tmj.2024.0175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024] Open
Abstract
Background: Indigenous people are often neglected in eye health research and service delivery programs, despite having a greater burden of vision loss, most of which is avoidable. The objective of this work was to improve access to specialist eye care for Indigenous Australians living in rural and remote areas, by providing direct access to expert diagnostic services based in metropolitan areas through a tele-ophthalmology system. Methods: Over a four-year study period, 13 remote communities in Queensland and the Northern Territory were identified that had limited or no access to eye screening services. Relationships with health service providers in the communities were established to codesign a sustainable model of service delivery and referral pathways to ensure that patients identified with eye issues received appropriate treatment. Results: Over the course of the study, screening records from 378 patients were uploaded to a web-based telehealth system and diagnosed by ophthalmologists. From these examinations, 64 new cases of diabetic retinopathy (DR) were identified (including 2 cases of proliferative DR and 4 cases of severe nonproliferative DR), and diabetic macular edema was noted in 18 patients. The majority of participants screened had no eye problems, which enables the removal of these patients from the queues of overwhelmed specialist lists, improving service efficiency. The study also demonstrates capacity building of healthcare workers to perform eye screening and improved patient health awareness where the retinal cameras were used as an educational tool. Conclusions: A valuable screening service has been established in the target areas, where access to ophthalmic services has been improved for residents of the study screening locations. Routine eye examination (instead of opportunistic eye examination) is feasible for early detection of some eye diseases for remote and rural patients.
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Affiliation(s)
- Justin Boyle
- Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
| | | | | | | | | | - Elizabeth Henderson
- Laynhapuy Homelands Aboriginal Corporation, acting through Laynhapuy Aboriginal Community Controlled Health Services, Yirrkala, Australia
| | | | | | | | | | - Jeff Cook
- Laynhapuy Homelands Aboriginal Corporation, acting through Laynhapuy Aboriginal Community Controlled Health Services, Yirrkala, Australia
| | | | - Simon Tame
- Vanguard Health, C/- Weipa Hospital, Queensland, Australia
| | - Peter Malavisi
- Marthakal Homeland & Resource Centre Aboriginal Corporation, acting though the Marthakal Homelands Health Service, Elcho Island, Australia
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15
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Sakini ASA, Hamid AK, Alkhuzaie ZA, Al-Aish ST, Al-Zubaidi S, Tayem AA, Alobi MA, Sakini ASA, Al-Aish RT, Al-Shami K, Hanifa H, Khunda SS. Diabetic macular edema (DME): dissecting pathogenesis, prognostication, diagnostic modalities along with current and futuristic therapeutic insights. Int J Retina Vitreous 2024; 10:83. [PMID: 39468614 PMCID: PMC11514910 DOI: 10.1186/s40942-024-00603-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Accepted: 10/17/2024] [Indexed: 10/30/2024] Open
Abstract
One of the most common health concerns disturbing people within working years globally is diabetes mellitus (DM). One well-known consequence of DM is vascular damage, which can manifest as macro- and microangiopathy affecting the ocular retina. Therefore, Diabetic macular edema (DME) is a major sight-threatening complication of diabetic retinopathy (DR) worldwide. It is the most prevalent cause of significant vision impairment in diabetic patients. Long-term vision loss can be avoided by following early DME treatment guidelines in everyday life. Hence, there are various therapeutic approaches for DME management. Currently, the first-line treatment for DME is anti-VEGF family drugs, such as ranibizumab, brolucizumab, bevacizumab, and aflibercept. Nevertheless, relapses of the disease, inadequate response, and resistance during anti-VEGF therapy are still seen because of the intricate pathophysiological foundation of the disease. Consequently, there is an excellent requirement for therapeutic approaches to advance and become better at controlling diseases more satisfactorily and require fewer treatments overall. We conducted a thorough literature search in the current review to present a comprehensive overview of the primary data about the current DME therapeutic agents. We also covered the novel advances in DME management and probable future treatments being investigated and developed. This review recommended that Large clinical trials should afford sufficient evidence to support these innovative treatment modalities.
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Affiliation(s)
| | | | - Zainab A Alkhuzaie
- Clinical Teaching Fellow, College of Medicine, University of Kufa, Al-Najaf, Iraq
| | - Sandra Thair Al-Aish
- Department of Surgery, College of Medicine, University of Baghdad, Baghdad, Iraq
| | - Shahad Al-Zubaidi
- Clinical Teaching Fellow, University of Baghdad, Al-Kindy Medical College, Baghdad, Iraq
| | | | | | | | - Rami Thair Al-Aish
- Department of Surgery, College of Medicine, University of Baghdad, Baghdad, Iraq
| | - Khayry Al-Shami
- Department of Clinical Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Hamdah Hanifa
- Faculty of Medicine, University of Kalamoon, Al-Nabk, Syria.
| | - Sara S Khunda
- Department of Internal Medicine, Baghdad Medical City, Baghdad, Iraq
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16
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Qin X, Sun J, Chen S, Xu Y, Lu L, Lu M, Li J, Ma Y, Lou F, Zou H. Gut microbiota predict retinopathy in patients with diabetes: A longitudinal cohort study. Appl Microbiol Biotechnol 2024; 108:497. [PMID: 39466432 PMCID: PMC11519154 DOI: 10.1007/s00253-024-13316-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 06/27/2024] [Accepted: 09/23/2024] [Indexed: 10/30/2024]
Abstract
The gut microbiota has emerged as an independent risk factor for diabetes and its complications. This research aimed to delve into the intricate relationship between the gut microbiome and diabetic retinopathy (DR) through a dual approach of cross-sectional and prospective cohort studies. In our cross-sectional study cross-sectional investigation involving ninety-nine individuals with diabetes, distinct microbial signatures associated with DR were identified. Specifically, gut microbiome profiling revealed decreased levels of Butyricicoccus and Ruminococcus torques group, alongside upregulated methanogenesis pathways among DR patients. These individuals concurrently exhibited lower concentrations of short-chain fatty acids in their plasma. Leveraging machine learning models, including random forest classifiers, we constructed a panel of microbial genera and genes that robustly differentiated DR cases. Importantly, these genera also demonstrated significant correlations with dietary patterns and the molecular profiles of peripheral blood mononuclear cells. Building upon these findings, our prospective cohort study followed 62 diabetes patients over a 2-year period to assess the predictive value of these microbial markers. The results underlined the panel's efficacy in predicting DR incidence. By stratifying patients based on the predictive genera and metabolites identified in the cross-sectional phase, we established significant associations between reduced levels of Butyricicoccus, plasma acetate, and increased susceptibility to DR. This investigation not only deepens our understanding of how gut microbiota influences DR but also underscores the potential of microbial markers as early indicators of disease risk. These insights hold promise for developing targeted interventions aimed at mitigating the impact of diabetic complications. KEY POINTS: • Microbial signatures are differed in diabetic patients with and without retinopathy • DR-related taxa are linked to dietary habits and transcriptomic profiles • Lower abundances of Butyricicoccus and acetate were prospectively associated with DR.
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Affiliation(s)
- Xinran Qin
- Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaqi Sun
- Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuli Chen
- Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Xu
- Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China
| | - Lina Lu
- Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China
| | - Min Lu
- Community Health Service Center of Jiangsu Road Subdistrict, Changning District, Shanghai, China
| | - Jieying Li
- Community Health Service Center of Jiangsu Road Subdistrict, Changning District, Shanghai, China
| | - Yingyan Ma
- Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Fangzhou Lou
- Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Haidong Zou
- Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China.
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
- National Clinical Research Center for Eye Diseases, Shanghai, China.
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Chen L, Zhang H, Zhang Y, Li X, Wang M, Shen Y, Cao Y, Xu Y, Yao J. Ganglion cell-derived LysoPS induces retinal neovascularisation by activating the microglial GPR34-PI3K-AKT-NINJ1 axis. J Neuroinflammation 2024; 21:278. [PMID: 39468551 PMCID: PMC11520652 DOI: 10.1186/s12974-024-03265-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Accepted: 10/18/2024] [Indexed: 10/30/2024] Open
Abstract
Retinal neovascularisation is a major cause of blindness in patients with proliferative diabetic retinopathy (PDR). It is mediated by the complex interaction between dysfunctional ganglion cells, microglia, and vascular endothelial cells. Notably, retinal microglia, the intrinsic immune cells of the retina, play a crucial role in the pathogenesis of retinopathy. In this study, we found that lysophosphatidylserines (LysoPS) released from injured ganglion cells induced microglial extracellular trap formation and retinal neovascularisation. Mechanistically, LysoPS activated the GPR34-PI3K-AKT-NINJ1 signalling axis by interacting with the GPR34 receptor on the microglia. This activation upregulated the expression of inflammatory cytokines, such as IL-6, IL-8, VEGFA, and FGF2, and facilitated retinal vascular endothelial cell angiogenesis. As a result, inhibition of the GPR34-PI3K-AKT-NINJ1 axis significantly decreased microglial extracellular trap formation and neovascularisation by suppressing LysoPS-induced microglial inflammatory responses, both in vitro and in vivo. This study reveals the crucial role of apoptotic ganglion cells in activating microglial inflammation in PDR, thereby enhancing our understanding of the pathogenesis of retinal neovascularisation.
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Affiliation(s)
- Lushu Chen
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China
- The Fourth School of Clinical Medicine, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, P. R. China
| | - HuiYing Zhang
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China
- The Fourth School of Clinical Medicine, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, P. R. China
| | - Ying Zhang
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China
- The Fourth School of Clinical Medicine, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, P. R. China
| | - Xiumiao Li
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China
| | - MeiHuan Wang
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China
| | - Yaming Shen
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China
| | - Yuan Cao
- The Fourth School of Clinical Medicine, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, P. R. China
| | - Yong Xu
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China.
- The Fourth School of Clinical Medicine, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, P. R. China.
| | - Jin Yao
- The Affiliated Eye Hospital, Nanjing Medical University, 138 Hanzhong Road, Nanjing, 210029, P. R. China.
- The Fourth School of Clinical Medicine, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, P. R. China.
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18
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Tang YY, Liu JJ, Gu HJ, Wang XS, Tan CM. Leisure screen time and diabetic retinopathy risk: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e40099. [PMID: 39470559 PMCID: PMC11521079 DOI: 10.1097/md.0000000000040099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 06/29/2024] [Accepted: 09/26/2024] [Indexed: 10/30/2024] Open
Abstract
The aim of this study was to investigate whether leisure screen time (LST) increases the risk of diabetic retinopathy (DR) using the Mendelian randomization (MR). This study employed a two-sample MR analysis, utilizing 63 single-nucleotide polymorphisms as instrumental variables (IVs) to assess the causal relationship between LST and the risk of Dr. To ensure the robustness of the results, a multi-effect test was conducted to evaluate the validity of the IVs. Additionally, heterogeneity tests were performed to explore differences among sub-samples. Sensitivity analyses were also conducted to further validate our findings. The impact of LST on the risk of DR was observed in both inverse variance weighted (odds ratio [OR]: 1.22, 95% confidence interval [CI]: 1.04-1.43, P = 1.38 × 10-2) and weighted median (OR: 1.30, 95% CI: 1.05-1.61, P = 1.46 × 10-2) analyses. However, the MR-Egger method (OR: 0.66, 95% CI: 0.32-1.36, P = .273) did not find an increased risk of DR with increased LST. The pleiotropy test yielded a P-value of P = .09. Heterogeneity tests showed that the Q value for the inverse variance weighted method was 71.39 with a P-value of 0.17, indicating no significant heterogeneity. These results suggest that the IVs might be appropriate, and the analysis results could be robust. A large-scale MR analysis suggests a causal relationship between LST and the risk of Dr.
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Affiliation(s)
- Yuan-Yuan Tang
- Department of Nephroendocrinology, Guang’an People’s Hospital, Guan’an, Sichuan, China
| | - Jun-Jie Liu
- Department of Nephroendocrinology, Guang’an People’s Hospital, Guan’an, Sichuan, China
| | - Hong-Jing Gu
- Department of Nephroendocrinology, Guang’an People’s Hospital, Guan’an, Sichuan, China
| | - Xiao-Shu Wang
- Department of Nephroendocrinology, Guang’an People’s Hospital, Guan’an, Sichuan, China
| | - Chun-Mei Tan
- Department of Nephroendocrinology, Guang’an People’s Hospital, Guan’an, Sichuan, China
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19
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Song Y, Yin C, Kong N. Stem Cell-Derived Exosomes: Natural Intercellular Messengers with Versatile Mechanisms for the Treatment of Diabetic Retinopathy. Int J Nanomedicine 2024; 19:10767-10784. [PMID: 39469447 PMCID: PMC11514697 DOI: 10.2147/ijn.s475234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Accepted: 10/05/2024] [Indexed: 10/30/2024] Open
Abstract
Diabetic retinopathy is one of the complications of diabetes mellitus that occurs in the early stages. It is a disease that has a serious impact, and may lead to blindness when the disease progresses to advanced stages. Currently, treatments for diabetic retinopathy are mainly limited to its advanced stages of the disease, being restricted to a single therapeutic mechanism. Stem cells hold the promise of regenerative therapy and have the potential to comprehensively improve diabetic retinopathy. However, direct stem cell therapy carries some risk of carcinogenesis. Exosomes secreted by stem cells have shown a similar overall improvement in disease as stem cells. Exosomes can carry a number of biologically active materials from donor cells to recipient cells or distant organs, regulating intercellular signaling. Exosomes have shown remarkable efficacy in alleviating oxidative stress, inhibiting inflammatory responses, suppressing angiogenesis, reducing apoptosis and protecting neural tissues. Currently, the experimental literature using stem cell exosomes in the treatment of diabetic retinopathy tends to converge on the above experimental results. With this in mind, we have chosen to explore exosomes in depth from a subtle molecular perspective. We will elaborate on this perspective in this paper and propose to advocate exosome therapy as one promising approach for the treatment of diabetic retinopathy to ameliorate the lesions through multiple mechanisms.
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Affiliation(s)
- Yameng Song
- Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, Changchun, People’s Republic of China
- National Health Commission (NHC) Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, People’s Republic of China
| | - Caiyun Yin
- National Health Commission (NHC) Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, People’s Republic of China
| | - Ning Kong
- Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, Changchun, People’s Republic of China
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20
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Ouyang J, Zhou L, Wang Q, Yan W. Genetically mimicked effects of thyroid dysfunction on diabetic retinopathy risk: a 2-sample univariable and multivariable Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1374254. [PMID: 39497807 PMCID: PMC11532173 DOI: 10.3389/fendo.2024.1374254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 09/25/2024] [Indexed: 11/07/2024] Open
Abstract
Background Thyroid dysfunction exhibits a heightened prevalence among people with diabetes compared to those without diabetes. Furthermore, TD emerges as a notable correlated risk factor for the onset of diabetic retinopathy. Methods Using data from the FinnGen database (R9), we investigated the causal relationship between thyroid dysfunction (TD) and four stages of diabetic retinopathy (DR). A two-sample univariable Mendelian randomization (UVMR) approach was employed to estimate the total causal effect of TD on four stages of DR, while multivariable Mendelian randomization (MVMR) was used to assess the direct causal effect. The meta-analysis was conducted to summarize the collective effect of TD on four stages of DR. The inverse variance weighted (IVW) method was the primary approach for Mendelian randomization analysis, with heterogeneity, horizontal pleiotropy, and leave-one-out sensitivity analyses performed to validate the robustness of the findings. Results In UVMR analysis, thyrotoxicosis (TOS) was significantly associated with an increased risk of diabetic retinopathy across four stages (OR, 1.10-1.19; P<0.025). However, MVMR analysis, after adjusting for Graves' disease (GD) and/or rheumatoid arthritis (RA), revealed no significant association between TOS and the four stages of diabetic retinopathy. The Meta-analysis demonstrated the collective effect of TOS on diabetic retinopathy across all stages [OR=1.11; 95% CI (1.08-1.15); P<0.01]. In UVMR analysis, the estimates for hypothyroidism (HPT) and GD were similar to those for TOS. In the MVMR analysis, after adjusting for RA, the significant effect of HPT on DR and non-proliferative diabetic retinopathy (NPDR) remained. Additionally, MVMR analysis suggested that the estimates for GD on DR were not affected by TOS, except for GD-proliferative diabetic retinopathy (PDR). However, no significant correlation persisted after adjusting for RA, including for GD-PDR. Conclusion Our study demonstrated a significant association between thyroid dysfunction TD and DR, with the relationship being particularly pronounced in HPT-DR.
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Affiliation(s)
- Junlin Ouyang
- China–Japan Union Hospital of Jilin University, Department of Endocrinology, Jilin, China
| | - Ling Zhou
- China–Japan Union Hospital of Jilin University, Department of Obstetrics and Gynecology, Jilin, China
| | - Qing Wang
- China–Japan Union Hospital of Jilin University, Department of Endocrinology, Jilin, China
| | - Wei Yan
- China-Japan Union Hospital of Jilin University, Emergency Department, Jilin, China
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21
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Wang S, Bao N, Li M, Liu D, Tao L. Ets2 Exacerbates Diabetic Retinopathy by Aggravating the Proliferation of Endothelial Cells and Inflammatory Response. Biochem Genet 2024:10.1007/s10528-024-10938-8. [PMID: 39432129 DOI: 10.1007/s10528-024-10938-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 10/05/2024] [Indexed: 10/22/2024]
Abstract
Proliferative diabetic retinopathy (PDR), the most common type of diabetic retinopathy, is a main cause of visual and impairment blindness. Abnormal neovascularization, endothelial dysfunction, and vascular inflammation are important mechanisms for the development of PDR. Ets2 regulates angiogenesis-related genes and inflammation, however, the effect of Ets2 in PDR procession has not been clarified. Thus, this study is performed to investigate whether Ets2 exerts key functions in PDR. In this study, 10-week-old mice were used for establishing STZ-induced diabetic mice, and Ets2 expression was analyzed in retina tissues. Besides, newborn mice were applied to construct oxygen-induced retinopathy (OIR) models. The Ets2 expression, oxidative stress, and inflammation were detected in retina tissues. We found that Ets2 was highly expressed in retina tissues both in diabetic mice and OIR mice. Oxidative stress and inflammatory processes are two factors contributing to the pathogenesis of PDR. In retinal tissues of OIR mice, Ets2 knockdown inhibited expression of inflammatory mediators VEGFA, IL-6, and IL-8, and biomarkers of oxidative stress MCP-1, VCAM-1, and iNOS. ROS production was also inhibited by silencing Ets2. Ets2 deficiency inhibited endothelial cell proliferation in the retina. Furthermore, Ets2 knockdown contributed to suppressing the expression of angiogenesis-related genes VEGFA, JUNB, MMP-9, Tie2, Ang-2, and EphB4. Our study highlights that Ets2 accelerates PDR procession by promoting the proliferation of endothelial cells, oxidative stress, and inflammation, which provides a novel target against PDR.
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Affiliation(s)
- Song Wang
- Department of Ophthalmology, the Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei, 230601, Anhui, China
| | - Ning Bao
- Department of Ophthalmology, the Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei, 230601, Anhui, China
| | - Mohan Li
- Department of Ophthalmology, the Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei, 230601, Anhui, China
| | - Dongwei Liu
- Department of Ophthalmology, the Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei, 230601, Anhui, China
| | - Liming Tao
- Department of Ophthalmology, the Second Affiliated Hospital of Anhui Medical University, No. 678 Furong Road, Hefei, 230601, Anhui, China.
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22
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He Y, Huang X, Gao S, Zhang M, Zhang J. Does the microaneurysm have to be distinguished from a similar-sized dot hemorrhage? Chin Med J (Engl) 2024; 137:2504-2506. [PMID: 38879807 PMCID: PMC11479462 DOI: 10.1097/cm9.0000000000003166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Indexed: 10/20/2024] Open
Affiliation(s)
- Yueqing He
- Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China
| | - Xi Huang
- Department of Ophthalmology and Laboratory of Macular disease, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Sheng Gao
- Department of Ophthalmology and Laboratory of Macular disease, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Meixia Zhang
- Department of Ophthalmology and Laboratory of Macular disease, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Junjun Zhang
- Department of Ophthalmology and Laboratory of Macular disease, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Chengdu AIDI Eye Hospital, Chengdu, Sichuan 610072, China
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23
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Zhou YM, Cao YH, Guo J, Cen LS. Potential prospects of Chinese medicine application in diabetic retinopathy. World J Diabetes 2024; 15:2010-2014. [PMID: 39493560 PMCID: PMC11525732 DOI: 10.4239/wjd.v15.i10.2010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/03/2024] [Accepted: 07/08/2024] [Indexed: 09/26/2024] Open
Abstract
Current treatment strategies for diabetic retinopathy (DR), an eye condition that can lead to blindness, have mainly focused on proliferative DR, including vitreous injection, retinal photocoagulation, and vitrectomy. Vitreous injections mainly depend on anti-vascular endothelial growth factor therapy. In this editorial, we comment on the article by Sun et al. We focus specifically on the mechanisms of the protective effect of genipin on the retina. Genipin is a gardenia extract used in traditional Chinese medicine (TCM). In their study, the authors suggest that controlling advanced glycosylation by the intraocular injection of genipin may be a strategy for preventing retinopathy. The innovative use of a Chinese medicine extract injected into the eye to achieve a curative effect has attracted our attention. Although TCM is effective in treating DR, the topical application of DR, especially intraocular injections, is not yet feasible. Herein, we present a brief analysis of effective Chinese medicines for the treatment of DR. The effectiveness of local injections of TCM applied directly into the eyes holds promise as an effective treatment approach for DR.
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Affiliation(s)
- Yi-Mai Zhou
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang Province, China
| | - Yuan-Hao Cao
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang Province, China
| | - Jing Guo
- Department of Dermatology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou 310006, Zhejiang Province, China
| | - Lu-Sha Cen
- Department of Ophthalmology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou 310006, Zhejiang Province, China
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24
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Liang Y, Zhang X, Mei W, Li Y, Du Z, Wang Y, Huang Y, Zeng X, Lai C, Wang S, Fang Y, Zhang F, Zang S, Sun W, Yu H, Hu Y. Predicting vision-threatening diabetic retinopathy in patients with type 2 diabetes mellitus: Systematic review, meta-analysis, and prospective validation study. J Glob Health 2024; 14:04192. [PMID: 39391902 PMCID: PMC11467770 DOI: 10.7189/jogh.14.04192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2024] Open
Abstract
Background Delayed diagnosis and treatment of vision-threatening diabetic retinopathy (VTDR) is a common cause of visual impairment in individuals with type 2 diabetes mellitus (T2DM). Identification of VTDR predictors is the key to early prevention and intervention, but the predictors from previous studies are inconsistent. This study aims to conduct a systematic review and meta-analysis of the existing evidence for VTDR predictors, then to develop a risk prediction model after quantitatively summarising the predictors across studies, and finally to validate the model with two Chinese cohorts. Methods We systematically retrieved cohort studies that reported predictors of VTDR in T2DM patients from PubMed, Ovid, Embase, Scopus, Cochrane Library, Web of Science, and ProQuest from their inception to December 2023. We extracted predictors reported in two or more studies and combined their corresponding relative risk (RRs) using meta-analysis to obtain pooled RRs. We only selected predictors with statistically significant pooled RRs to develop the prediction model. We also prospectively collected two Chinese cohorts of T2DM patients as the validation set and assessed the discrimination and calibration performance of the prediction model by the time-dependent ROC curve and calibration curve. Results Twenty-one cohort studies involving 622 490 patients with T2DM and 57 107 patients with VTDR were included in the meta-analysis. Age of diabetes onset, duration of diabetes, glycosylated haemoglobin (HbA1c), estimated glomerular filtration rate (eGFR), hypertension, high albuminuria and diabetic treatment were used to construct the prediction model. We validated the model externally in a prospective multicentre cohort of 555 patients with a median follow-up of 52 months (interquartile range = 39-77). The area under the curve (AUC) of the prediction model was all above 0.8 for 3- to 10-year follow-up periods and different cut-off value of each year provided the optimal balance between sensitivity and specificity. The data points of the calibration curves for each year closely surround the corresponding dashed line. Conclusions The risk prediction model of VTDR has high discrimination and calibration performance based on validation cohorts. Given its demonstrated effectiveness, there is significant potential to expand the utilisation of this model within clinical settings to enhance the detection and management of individuals at high risk of VTDR.
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Affiliation(s)
- Yanhua Liang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Ophthalmology, The People’s Hospital of Jiangmen, Southern Medical University, Jiangmen, China
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen Mei
- Department of Endocrinology, Nanhai District People’s Hospital of Foshan, Foshan, China
| | - Yongxiong Li
- Department of Ophthalmology, The People’s Hospital of Jiangmen, Southern Medical University, Jiangmen, China
| | - Zijing Du
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yaxin Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiaomin Zeng
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chunran Lai
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shan Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ying Fang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Feng Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Siwen Zang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wei Sun
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
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25
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Xu M, Li B, Li C, Chai P, Qiu Q, Zheng Z, Chen Q, Luo D, Xu X, Zhou C. Is longer axial length protective of vision-threatening diabetic retinopathy across different ages? A multicenter cohort of 736 patients. Int J Retina Vitreous 2024; 10:74. [PMID: 39390534 PMCID: PMC11465653 DOI: 10.1186/s40942-024-00593-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 10/02/2024] [Indexed: 10/12/2024] Open
Abstract
PURPOSE Vision-threatening diabetic retinopathy (VTDR) included severe non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR) and clinically significant diabetic macular edema (DME). To compare the axial length (AL) and assess its influence on VTDR across different ages. METHODS A retrospective cohort study. Medical chart review was performed in 736 consecutive patients with VTDR. The patients were divided into young (≤ 45 years) and elderly group (> 45 years) based on their age at the diagnosis of VTDR. After at least one year of standardized treatments, all eligible patients were followed up. The main outcome measures included the presence of tractional retinal detachment (TRD) involving foveal, final best-corrected visual acuity (BCVA), the development of neovascular glaucoma (NVG), and recurrent vitreous hemorrhage (VH) post-vitrectomy. ALs were compared between two age groups. The impact of AL on clinical outcomes was determined by logistic analyses after controlling for systemic parameters. RESULTS The study included 144 patients ≤ 45 years and 592 patients > 45 years. Young patients had significantly longer AL than elderly participants (23.9 mm vs 23.0 mm, p < 0.001). Over a median follow-up of 25.9 months, a larger proportion of young patients developed TRD (34.7% vs 16.2%, p < 0.001) and recurrent VH (18.6% vs 10.3%, p = 0.040) than elderly patients. In elderly group, longer AL is an independent protective factor in preventing TRD (odds ratio [OR], 0.5; 95% confidence interval [CI], 0.4-0.7; P < 0.001). However, this beneficial effect was not observed in young patients. CONCLUSIONS Young patients with VTDR exhibited significantly longer AL but more aggressive clinical signs with compromised prognosis. In elderly group, a longer AL independently reduced the risk of TRD, while this protective effect did not exist for young patients.
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Affiliation(s)
- Mingpeng Xu
- Department of Ophthalmology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bo Li
- Department of Ophthalmology, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Ophthalmology, Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Hongkou District, Shanghai, 200080, China
| | - Chenxin Li
- Department of Ophthalmology, Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Hongkou District, Shanghai, 200080, China
| | - Peiwei Chai
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China
| | - Qinghua Qiu
- Department of Ophthalmology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai, 200336, China
| | - Zhi Zheng
- Department of Ophthalmology, Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Hongkou District, Shanghai, 200080, China
| | - Qian Chen
- Department of Ophthalmology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai, 200336, China.
| | - Dawei Luo
- Department of Ophthalmology, Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Hongkou District, Shanghai, 200080, China.
| | - Xiaofang Xu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China.
| | - Chuandi Zhou
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China.
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26
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Valero-Ochando J, Cantó A, López-Pedrajas R, Almansa I, Miranda M. Role of Gonadal Steroid Hormones in the Eye: Therapeutic Implications. Biomolecules 2024; 14:1262. [PMID: 39456195 PMCID: PMC11506707 DOI: 10.3390/biom14101262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 10/01/2024] [Accepted: 10/03/2024] [Indexed: 10/28/2024] Open
Abstract
Gonadal steroid hormones are critical regulatory substances involved in various developmental and physiological processes from fetal development through adulthood. These hormones, derived from cholesterol, are synthesized primarily by the gonads, adrenal cortex, and placenta. The synthesis of these hormones involves a series of enzymatic steps starting in the mitochondria and includes enzymes such as cytochrome P450 and aromatase. Beyond their genomic actions, which involve altering gene transcription over hours, gonadal steroids also exhibit rapid, nongenomic effects through receptors located on the cell membrane. Additionally, recent research has highlighted the role of these hormones in the central nervous system (CNS). However, the interactions between gonadal steroid hormones and the retina have received limited attention, though it has been suggested that they may play a protective role in retinal diseases. This review explores the synthesis of gonadal hormones, their mechanisms of action, and their potential implications in various retinal and optic nerve diseases, such as glaucoma, age-related macular degeneration (AMD), diabetic retinopathy (DR), or retinitis pigmentosa (RP), discussing both protective and risk factors associated with hormone levels and their therapeutic potential.
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Affiliation(s)
| | | | | | | | - María Miranda
- Department of Biomedical Sciences, Faculty of Health Sciences, Institute of Biomedical Sciences, Cardenal Herrera-CEU University, CEU Universities, 46115 Valencia, Spain; (J.V.-O.); (A.C.); (R.L.-P.); (I.A.)
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27
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Zhang YY, Chen BX, Wan Q. Association of lipid-lowering drugs with the risk of type 2 diabetes and its complications: a mendelian randomized study. Diabetol Metab Syndr 2024; 16:240. [PMID: 39367514 PMCID: PMC11451088 DOI: 10.1186/s13098-024-01477-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 09/23/2024] [Indexed: 10/06/2024] Open
Abstract
BACKGROUND The pathogenesis of type 2 diabetes mellitus is somewhat associated with lipid metabolism. We aim to assess the impact of lipid-lowering drugs (HMGCR inhibitors, PCSK9 inhibitors, and NPC1L1 inhibitors) on type 2 diabetes mellitus and its complications through a two-sample Mendelian randomization (MR) study. METHOD We identified suitable genetic instruments from the GWAS database that represent the expression levels of three genes, interpreting reduced genetically proxied gene expression as indicative of lipid-lowering drug use. We evaluated the causal relationships among these variables employing a two-sample Mendelian randomization approach, with the Inverse Variance Weighted (IVW) analysis serving as the primary method. Coronary artery disease was utilized as a positive control to validate the reliability of the selected genetic instruments. RESULT Increased genetically proxied HMGCR expression is significantly associated with a reduced risk of type 2 diabetes mellitus (OR = 0.64, 95%CI = 0.55-0.74), which was replicated in the FinnGen study with consistent results (OR = 0.65, 95%CI = 0.53-0.80). Increased genetically proxied HMGCR expression is associated with a reduced risk of diabetic retinopathy (OR = 0.23, 95%CI = 0.12-0.44) and diabetic nephropathy (OR = 0.35, 95%CI = 0.17-0.71). In contrast, increased genetically proxied PCSK9 expression is associated with a decreased risk of diabetic coma (OR = 0.70, 95%CI = 0.50-0.98), diabetic neuropathy (OR = 0.24, 95%CI = 0.14-0.42), diabetic retinopathy (OR = 0.67, 95%CI = 0.48-0.96), diabetic cardiovascular diseases (OR = 0.62, 95%CI = 0.38-0.99), and diabetic nephropathy (OR = 0.62, 95%CI = 0.41-0.95). CONCLUSIONS This Mendelian randomization study suggests an association between HMGCR and the pathogenesis of type 2 diabetes mellitus, with increased genetically proxied HMGCR expression reducing the risk of type 2 diabetes mellitus, while PCSK9 and NPC1L1 show no significant association with type 2 diabetes mellitus. These findings may offer more reasonable lipid-lowering drug options for patients with dyslipidemia.
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Affiliation(s)
- Yue-Yang Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, 646000, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, 646000, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, 646000, China
| | - Bing-Xue Chen
- Department of Ultrasound Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Qin Wan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, 646000, China.
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, 646000, China.
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, China.
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, 646000, China.
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28
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Zeng Y, Mo G, Wang X, Yang Y, Dong Y, Zhong R, Tian N. Investigating the relationship between blood metabolites and diabetic retinopathy using two-sample mendelian randomization and in vivo validation. Sci Rep 2024; 14:22947. [PMID: 39362968 PMCID: PMC11450153 DOI: 10.1038/s41598-024-73337-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 09/16/2024] [Indexed: 10/05/2024] Open
Abstract
We addressed fundamental questions about the influence of metabolites on the development of Diabetic retinopathy (DR), and explored the related pathological mechanism. Genome-wide association study (GWAS) database data for metabolites and DR were used to perform Mendelian randomization (MR) studies. The inverse variance weighting (IVW) was chosen as the primary analysis method. Sensitivity analysis was conducted using MR-PRESSO, leave-one-out and Cochran's Q test. Confounding factors were eliminated to ensure robustness. We also conducted metabolic pathway analysis. In vivo experimental validation was conducted using Sprague Dawley rats. The serum metabolites of the DR group rats and normal group rats were examined to evaluate the MR results. The screen identified eighteen metabolites associated with DR risk, twelve of which were known components. Seven metabolites were positively correlated with DR risk, while five could reduce it. Eight metabolites associated with proliferative DR (PDR) risk were identified, four of which are known components. Three of these were positively associated with PDR risk and one metabolite reduced PDR risk. Additionally, two possible metabolic pathways involved in the biological mechanism of DR were identified. The ELISA results showed that the serum levels of isoleucine and 4-HPA were significantly increased in DR rats, while the level of inosine was decreased. This study offers novel insights into the biological mechanisms underlying DR. Metabolites that are causally linked to DR may serve as promising biomarkers and therapeutic targets.
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Affiliation(s)
- Yihuan Zeng
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China
| | - Guangmeng Mo
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China
| | - Xiaoyv Wang
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China
| | - Yan Yang
- Department of Ophthalmology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510504, Guangdong Province, China
| | - Yan Dong
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong Province, China
| | - Ruiying Zhong
- Department of Ophthalmology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510504, Guangdong Province, China
| | - Ni Tian
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China.
- Department of Ophthalmology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510504, Guangdong Province, China.
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29
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Yang H, Han RY, Gong RW, Zhang YJ, Yang SS, Xu GZ, Liu W. CST3 alleviates retinal vascular leakage by regulating the Rap1 signaling pathway. Exp Eye Res 2024; 247:110042. [PMID: 39147193 DOI: 10.1016/j.exer.2024.110042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 06/21/2024] [Accepted: 08/12/2024] [Indexed: 08/17/2024]
Abstract
Retinal vascular leakage is a major event in several retinal diseases, including diabetic retinopathy (DR). In a previous study, we demonstrated that the aqueous humor concentration of Cystatin C (CST3), a physiological inhibitor of cysteine protease, is negatively correlated with the severity of diabetic macular edema. However, its function in the retina has not been clearly elucidated. In this study, we found a significant decrease in the aqueous humor concentration of CST3 with DR progression. Furthermore, we found that CST3 was expressed in retinal endothelial cells and that its expression was significantly downregulated in high glucose-treated human retinal microvascular endothelial cells (HRMECs) and the retinal vessels of oxygen-induced retinopathy (OIR) mice. Silencing CST3 expression resulted in decreased HRMEC migration and tubule formation ability. Exogenous addition of the CST3 protein significantly improved HRMEC migration and tubular formation. In-vivo experiments demonstrated that CST3 silencing induced retinal vascular leakage in WT mice, while its intravitreal injection significantly reduced retinal leakage in OIR mice. Mechanistically, CST3 promoted the expression of the downstream adhesion molecules, claudin5, VE-cadherin, and ZO-1, in retinal vascular cells by regulating the Rap1 signaling pathway. Therefore, this study revealed a novel mechanism by which CST3 improves retinal vascular function and provided evidence that it is a potential therapeutic target for retinal vascular leakage.
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Affiliation(s)
- Hong Yang
- Department of Ophthalmology, Eye, ENT Hospital of Fudan University, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment, Restoration, Fudan University, Shanghai, 200031, China
| | - Ru-Yi Han
- Department of Ophthalmology, Eye, ENT Hospital of Fudan University, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment, Restoration, Fudan University, Shanghai, 200031, China
| | - Ruo-Wen Gong
- Department of Ophthalmology, Eye, ENT Hospital of Fudan University, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment, Restoration, Fudan University, Shanghai, 200031, China
| | - Ya-Juan Zhang
- Sixth Affiliated Hospital of Kunming Medical University, Yun Nan, 653100, China
| | - Shi-Shi Yang
- Sixth Affiliated Hospital of Kunming Medical University, Yun Nan, 653100, China
| | - Ge-Zhi Xu
- Department of Ophthalmology, Eye, ENT Hospital of Fudan University, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment, Restoration, Fudan University, Shanghai, 200031, China.
| | - Wei Liu
- Department of Ophthalmology, Eye, ENT Hospital of Fudan University, Shanghai, 200031, China; Shanghai Key Laboratory of Visual Impairment, Restoration, Fudan University, Shanghai, 200031, China.
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30
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Zhang F, Ning J, Chen C, Li B, Wei Y. Advances in the mechanisms of Gardenia jasminoides Ellis in improving diabetes and its complications. Fitoterapia 2024; 178:106140. [PMID: 39053745 DOI: 10.1016/j.fitote.2024.106140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/16/2024] [Accepted: 07/21/2024] [Indexed: 07/27/2024]
Abstract
Gardenia jasminoides Ellis (Zhi-zi), which belongs to the Rubiaceae family, has been used mainly with its fry fruit for thousands of years, and it is an herb with the homology of medicine and food. In traditional Chinese medicine (TCM) theory, Zhi-zi can be used for "Quench Xiaoke", meaning for therapying diabetes in modern medicine. Based on numerous pharmacological studies, Gardenia jasminoides Ellis (Zhi-zi), and its ingredients, mainly including iridoid glycosides and carotenoids (crocins), possess potent antioxidant and anti-inflammatory properties, and can promote insulin secretion and sensitization, stimulate GLP-1 pathway activity, and protect islet β cells and the macro- and microvascular systems. These properties are the primary reasons why Zhi-zi and its ingredients are effective in reducing glucose levels, treating diabetes, and preventing its complications. This review aims to summarize the current situation and the advances of the studies on the mechanisms of Zhi-zi in improving diabetes and its complications, and it is expected to provide useful and systematic references for future research and clinical application of Zhi-zi and its active ingredients in the therapy of diabetes and complications.
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Affiliation(s)
- Fan Zhang
- The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Junhao Ning
- The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Chen Chen
- The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Boxia Li
- The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Yuhui Wei
- The First Hospital of Lanzhou University, Lanzhou 730000, China.
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31
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Li J, Guan Z, Wang J, Cheung CY, Zheng Y, Lim LL, Lim CC, Ruamviboonsuk P, Raman R, Corsino L, Echouffo-Tcheugui JB, Luk AOY, Chen LJ, Sun X, Hamzah H, Wu Q, Wang X, Liu R, Wang YX, Chen T, Zhang X, Yang X, Yin J, Wan J, Du W, Quek TC, Goh JHL, Yang D, Hu X, Nguyen TX, Szeto SKH, Chotcomwongse P, Malek R, Normatova N, Ibragimova N, Srinivasan R, Zhong P, Huang W, Deng C, Ruan L, Zhang C, Zhang C, Zhou Y, Wu C, Dai R, Koh SWC, Abdullah A, Hee NKY, Tan HC, Liew ZH, Tien CSY, Kao SL, Lim AYL, Mok SF, Sun L, Gu J, Wu L, Li T, Cheng D, Wang Z, Qin Y, Dai L, Meng Z, Shu J, Lu Y, Jiang N, Hu T, Huang S, Huang G, Yu S, Liu D, Ma W, Guo M, Guan X, Yang X, Bascaran C, Cleland CR, Bao Y, Ekinci EI, Jenkins A, Chan JCN, Bee YM, Sivaprasad S, Shaw JE, Simó R, Keane PA, Cheng CY, Tan GSW, Jia W, Tham YC, Li H, Sheng B, Wong TY. Integrated image-based deep learning and language models for primary diabetes care. Nat Med 2024; 30:2886-2896. [PMID: 39030266 PMCID: PMC11485246 DOI: 10.1038/s41591-024-03139-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 06/18/2024] [Indexed: 07/21/2024]
Abstract
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an integrated image-language system (DeepDR-LLM), combining a large language model (LLM module) and image-based deep learning (DeepDR-Transformer), to provide individualized diabetes management recommendations to PCPs. In a retrospective evaluation, the LLM module demonstrated comparable performance to PCPs and endocrinology residents when tested in English and outperformed PCPs and had comparable performance to endocrinology residents in Chinese. For identifying referable DR, the average PCP's accuracy was 81.0% unassisted and 92.3% assisted by DeepDR-Transformer. Furthermore, we performed a single-center real-world prospective study, deploying DeepDR-LLM. We compared diabetes management adherence of patients under the unassisted PCP arm (n = 397) with those under the PCP+DeepDR-LLM arm (n = 372). Patients with newly diagnosed diabetes in the PCP+DeepDR-LLM arm showed better self-management behaviors throughout follow-up (P < 0.05). For patients with referral DR, those in the PCP+DeepDR-LLM arm were more likely to adhere to DR referrals (P < 0.01). Additionally, DeepDR-LLM deployment improved the quality and empathy level of management recommendations. Given its multifaceted performance, DeepDR-LLM holds promise as a digital solution for enhancing primary diabetes care and DR screening.
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Affiliation(s)
- Jiajia Li
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Zhouyu Guan
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Jing Wang
- Department of Ophthalmology, Huadong Sanatorium, Wuxi, China
| | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yingfeng Zheng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Cynthia Ciwei Lim
- Department of Renal Medicine, Singapore General Hospital, SingHealth-Duke Academic Medical Centre, Singapore, Singapore
| | - Paisan Ruamviboonsuk
- Faculty of Medicine, Department of Ophthalmology, Rajavithi Hospital, College of Medicine, Rangsit University, Bangkok, Thailand
| | - Rajiv Raman
- Shri Bhagwan Mahavir Vitreoretinal Services, Medical Research Foundation, Sankara Nethralaya, Chennai, India
| | - Leonor Corsino
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, and Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haslina Hamzah
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Qiang Wu
- Department of Ophthalmology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangning Wang
- Department of Ophthalmology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruhan Liu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing, China
| | - Tingli Chen
- Department of Ophthalmology, Huadong Sanatorium, Wuxi, China
| | - Xiao Zhang
- The People's Hospital of Sixian County, Anhui, China
| | - Xiaolong Yang
- Department of Ophthalmology, Huadong Sanatorium, Wuxi, China
| | - Jun Yin
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Jing Wan
- Department of Endocrinology and Metabolism, Shanghai Eighth People's Hospital, Shanghai, China
| | - Wei Du
- Department of Endocrinology and Metabolism, Shanghai Eighth People's Hospital, Shanghai, China
| | - Ten Cheer Quek
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Jocelyn Hui Lin Goh
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Dawei Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xiaoyan Hu
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Truong X Nguyen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Simon K H Szeto
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Peranut Chotcomwongse
- Faculty of Medicine, Department of Ophthalmology, Rajavithi Hospital, College of Medicine, Rangsit University, Bangkok, Thailand
| | - Rachid Malek
- Department of Internal Medicine, Setif University Ferhat Abbas, Setif, Algeria
| | - Nargiza Normatova
- Ophthalmology Department at Tashkent Advanced Training Institute for Doctors, Tashkent, Uzbekistan
| | - Nilufar Ibragimova
- Charity Union of Persons with Disabilities and People with Diabetes UMID, Tashkent, Uzbekistan
| | - Ramyaa Srinivasan
- Shri Bhagwan Mahavir Vitreoretinal Services, Medical Research Foundation, Sankara Nethralaya, Chennai, India
| | - Pingting Zhong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Chenxin Deng
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Ruan
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cuntai Zhang
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenxi Zhang
- Department of Ophthalmology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Zhou
- Department of Ophthalmology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Chan Wu
- Department of Ophthalmology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Rongping Dai
- Department of Ophthalmology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Sky Wei Chee Koh
- National University Polyclinics, National University Health System, Department of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Adina Abdullah
- Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | | | - Hong Chang Tan
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Zhong Hong Liew
- Department of Renal Medicine, Singapore General Hospital, SingHealth-Duke Academic Medical Centre, Singapore, Singapore
| | - Carolyn Shan-Yeu Tien
- Department of Renal Medicine, Singapore General Hospital, SingHealth-Duke Academic Medical Centre, Singapore, Singapore
| | - Shih Ling Kao
- Division of Endocrinology, University Medicine Cluster, National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Amanda Yuan Ling Lim
- Division of Endocrinology, University Medicine Cluster, National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shao Feng Mok
- Division of Endocrinology, University Medicine Cluster, National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Lina Sun
- Department of Internal Medicine, Huadong Sanatorium, Wuxi, China
| | - Jing Gu
- Department of Internal Medicine, Huadong Sanatorium, Wuxi, China
| | - Liang Wu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Tingyao Li
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Di Cheng
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Zheyuan Wang
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yiming Qin
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ling Dai
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ziyao Meng
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jia Shu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yuwei Lu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Nan Jiang
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Tingting Hu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Shan Huang
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Gengyou Huang
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Shujie Yu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Dan Liu
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Weizhi Ma
- Institute for AI Industry Research, Tsinghua University, Beijing, China
| | - Minyi Guo
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Xinping Guan
- Department of Automation and the Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaokang Yang
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Covadonga Bascaran
- International Centre for Eye Health, London School of Hygiene and Tropical Medicine, University of London, London, UK
| | - Charles R Cleland
- International Centre for Eye Health, London School of Hygiene and Tropical Medicine, University of London, London, UK
| | - Yuqian Bao
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Elif I Ekinci
- Department of Endocrinology, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine, The University of Melbourne (Austin Health), Melbourne, Victoria, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, Victoria, Australia
| | - Alicia Jenkins
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Asia Diabetes Foundation, Hong Kong Special Administrative Region, China
| | - Yong Mong Bee
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Sobha Sivaprasad
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, London, UK
| | - Jonathan E Shaw
- Department of Medicine, The University of Melbourne (Austin Health), Melbourne, Victoria, Australia
| | - Rafael Simó
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Madrid, Spain
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institut, Autonomous University of Barcelona, Barcelona, Spain
| | - Pearse A Keane
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, London, UK
- Institute of Ophthalmology, University College London, London, UK
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Center for Innovation and Precision Eye Health and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Gavin Siew Wei Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Weiping Jia
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China.
| | - Yih-Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
- Center for Innovation and Precision Eye Health and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore.
| | - Huating Li
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China.
| | - Bin Sheng
- Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China.
- MOE Key Laboratory of AI, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
- School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
- Beijing Tsinghua Changgung Hospital, Beijing, China.
- Zhongshan Ophthalmic Center, Guangzhou, China.
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Ji Z, Lin S, Gui S, Gao J, Cao F, Guan Y, Ni Q, Chen K, Tao L, Zhengxuan J. Overexpressed Poldip2 Incurs Retinal Fibrosis via the TGF-β1/SMAD3 Signaling Pathway in Diabetic Retinopathy. Diabetes 2024; 73:1742-1755. [PMID: 38968428 DOI: 10.2337/db23-1036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 06/19/2024] [Indexed: 07/07/2024]
Abstract
Retinal fibrosis is one of the major features of diabetic retinopathy (DR). Our recent research has shown that Poldip2 can affect early DR through oxidative stress, but whether Poldip2 would regulate retinal fibrosis during DR development is still enigmatic. Here, diabetic Sprague-Dawley (SD) rats were induced with streptozotocin (STZ) and treated with adeno-associated virus serotype 9-polymerase-δ interacting protein 2 (Poldip2) shRNA, while human adult retinal pigment epithelial (ARPE-19) cells were treated with high glucose or Poldip2 siRNA. We identified that in STZ-induced DR rats and ARPE-19 cells treated with high glucose, the expression of Poldip2, transforming growth factor-β1 (TGF-β1), phosphorylated-SMAD3/SMAD3, MMP9, COL-1, FN, and CTGF increased while the expression of cadherin decreased. However, deleting Poldip2 inhibited the TGF-β1/SMAD3 signaling pathway and attenuated the above protein expression in vivo and in vitro. Mechanistically, we found that Poldip2 promotes the activation of SMAD3, facilitates its nuclear translocation through interacting with it, and significantly enhances the expression of fibrosis makers. Collectively, Poldip2 was identified is a novel regulator of DR fibrosis and is expected to become a therapeutic target for PDR. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Zhiyu Ji
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Siyu Lin
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Siyu Gui
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Jie Gao
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Fan Cao
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Yiming Guan
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Qinyu Ni
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Keyang Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Liming Tao
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Jiang Zhengxuan
- Department of Ophthalmology, The Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
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Mendall J, Islam M, Wong K, Sansome S, Sim DA, Bachmann LM, Huemer J, Kang S. Digital Exclusion, Social Deprivation, and Clinical Outcomes of Patients Undergoing Hyperacuity Home Monitoring. Ophthalmol Ther 2024; 13:2759-2769. [PMID: 39181973 PMCID: PMC11408468 DOI: 10.1007/s40123-024-01020-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 08/09/2024] [Indexed: 08/27/2024] Open
Abstract
INTRODUCTION Digital exclusion is a growing challenge when deploying digital patient care pathways and a potential barrier to widespread implementation, especially in the field of smartphone-based self-monitoring of vision. This retrospective case series seeks to examine the characteristics of individuals who adhere to a smartphone home monitoring programme using the Alleye app for retinal disease, with a focus on digital exclusion, social deprivation and clinical outcomes. METHODS We conducted a retrospective analysis of 89 patients with retinal pathologies including diabetic retinopathy and retinal vein occlusions at Moorfields Eye Hospital participating in an Alleye home monitoring programme between April 2020 and November 2022. Postcodes were used to determine the Digital Exclusion Risk Index (DERI) and the Index of Multiple Deprivation (IMD) rebased for London. Clinical information from the electronic patient record and Alleye app usage data were extracted for each patient. Associations between the DERI/IMD, clinical parameters and app use were examined using multivariable regression models. RESULTS Mean DERI was 2.56 (standard deviation [SD] = 0.36), IMD was 6.25 (SD = 2.79), visual acuity (VA) in the better eye at study entry was 83.28 Early Treatment Diabetic Retinopathy Study (ETDRS) letters (SD = 7.92), and mean follow-up was 344.46 days (SD = 260.13). During the observation period, 36% received an intravitreal injection (IVI) and VA fell by at least ten letters in approximately one in four patients. In 87.5% of patients requiring IVI, the use of the app increased. We found no association between clinical parameters and programme adherence for DERI or IMD. CONCLUSIONS We found no association between high digital exclusion risk and high social deprivation with monitoring adherence to smartphone-based self-monitoring of vision, contrary to the currently available evidence. This suggests that smartphone-based self-monitoring of vision is accessible to population groups of varying digital exclusion and social deprivation risk, and can be safely employed to monitor clinical progression.
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Affiliation(s)
| | - Meriam Islam
- Kings College Hospital NHS Foundation Trust, London, UK
| | - Karen Wong
- Moorfields Eye Hospital NHS Foundation Trust, 162 City Road, London, UK
| | - Stafford Sansome
- Moorfields Eye Hospital NHS Foundation Trust, 162 City Road, London, UK
| | - Dawn A Sim
- Moorfields Eye Hospital NHS Foundation Trust, 162 City Road, London, UK
| | | | - Josef Huemer
- Moorfields Eye Hospital NHS Foundation Trust, 162 City Road, London, UK
- Department of Ophthalmology and Optometry, Kepler University Hospital, Linz, Austria
| | - Swan Kang
- University College London, London, UK.
- Moorfields Eye Hospital NHS Foundation Trust, 162 City Road, London, UK.
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Estevez JJ, Liu E, Patel C, Roulston T, Howard NJ, Lake S, Henderson T, Gleadle J, Maple-Brown LJ, Brown A, Craig JE. Vision loss and diabetic retinopathy prevalence and risk among a cohort of Indigenous and non-Indigenous Australians with type 2 diabetes receiving renal haemodialysis treatment: The retinopathy in people currently on renal dialysis (RiPCORD) study. Prim Care Diabetes 2024; 18:547-554. [PMID: 39232978 DOI: 10.1016/j.pcd.2024.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 08/14/2024] [Accepted: 08/20/2024] [Indexed: 09/06/2024]
Abstract
AIMS Diabetic nephropathy, vision loss and diabetic retinopathy (DR) are frequent comorbidities among individuals with type 2 diabetes (T2D). The Retinopathy in People Currently On Renal Dialysis (RiPCORD) study sought to examine the epidemiology and risk of vision impairment (VI) and DR among a cohort of Indigenous and non-Indigenous Australians with T2D currently receiving haemodialysis for end-stage renal failure (ESRF). METHODS A total of 106 Indigenous and 109 non-Indigenous Australians were recruited in RiPCORD across five haemodialysis centres in urban and remote settings. Clinical assessments, questionnaires and medical record data determined the rates of ocular complications and risk factor profiles. RESULTS Prevalence rates include unilateral VI, 23.5 %; bilateral VI, 11.7 %; unilateral blindness, 14.2 %; and bilateral blindness, 3.7 %, with no significant differences between sub-cohorts (p=0.30). DR prevalence rates were 78.0 % among non-Indigenous Australians and 93.1 % among Indigenous Australians (p=<0.001). Non-Indigenous ethnicity (OR: 0.28) and pre-dialysis diastolic blood pressure (OR: 0.84 per 10-mmHg) were protective, while peripheral vascular disease (OR: 2.79) increased DR risk. CONCLUSIONS Ocular complications among individuals with T2D and ESRF are disproportionately high, especially for Indigenous Australians, and beyond what can be accounted for by risk factor variation. Findings suggest a need to improve screening and preventative efforts within this high-risk population group.
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Affiliation(s)
- Jose J Estevez
- Caring Futures Institute, College of Nursing and Health Sciences, Optometry and Vision Science, Flinders University, Adelaide, Australia; Flinders Centre for Ophthalmology, Eye and Vision Research, Department of Ophthalmology, Flinders University, Adelaide, Australia; Wardliparingga Aboriginal Health Equity Theme, South Australia Health and Medical Research Institute, Adelaide, Australia.
| | - Ebony Liu
- Flinders Centre for Ophthalmology, Eye and Vision Research, Department of Ophthalmology, Flinders University, Adelaide, Australia
| | - Chirag Patel
- Flinders Centre for Ophthalmology, Eye and Vision Research, Department of Ophthalmology, Flinders University, Adelaide, Australia
| | - Tania Roulston
- Flinders Centre for Ophthalmology, Eye and Vision Research, Department of Ophthalmology, Flinders University, Adelaide, Australia; Alice Springs Hospital, Ophthalmology Department, Alice Springs, Northern Territory, Australia
| | - Natasha J Howard
- Wardliparingga Aboriginal Health Equity Theme, South Australia Health and Medical Research Institute, Adelaide, Australia; Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
| | - Stewart Lake
- Flinders Centre for Ophthalmology, Eye and Vision Research, Department of Ophthalmology, Flinders University, Adelaide, Australia
| | - Tim Henderson
- Alice Springs Hospital, Ophthalmology Department, Alice Springs, Northern Territory, Australia
| | - Jonathan Gleadle
- Department of Renal Medicine, Flinders Medical Centre, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia; Department of Endocrinology, Royal Darwin and Palmerston Hospitals, Darwin, Northern Territory, Australia
| | - Alex Brown
- Indigenous Genomics, Telethon Kids Institute, Adelaide, South Australia, Australia; National Centre for Indigenous Genomics, The John Curtin School of Medical Research, Australian National University, Australian Capital Territory, Australia
| | - Jamie E Craig
- Flinders Centre for Ophthalmology, Eye and Vision Research, Department of Ophthalmology, Flinders University, Adelaide, Australia
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Mulat Tebeje T, Kindie Yenit M, Gedlu Nigatu S, Bizuneh Mengistu S, Kidie Tesfie T, Byadgie Gelaw N, Moges Chekol Y. Prediction of diabetic retinopathy among type 2 diabetic patients in University of Gondar Comprehensive Specialized Hospital, 2006-2021: A prognostic model. Int J Med Inform 2024; 190:105536. [PMID: 38970878 DOI: 10.1016/j.ijmedinf.2024.105536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/26/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND There has been a paucity of evidence for the development of a prediction model for diabetic retinopathy (DR) in Ethiopia. Predicting the risk of developing DR based on the patient's demographic, clinical, and behavioral data is helpful in resource-limited areas where regular screening for DR is not available and to guide practitioners estimate the future risk of their patients. METHODS A retrospective follow-up study was conducted at the University of Gondar (UoG) Comprehensive Specialized Hospital from January 2006 to May 2021 among 856 patients with type 2 diabetes (T2DM). Variables were selected using the Least Absolute Shrinkage and Selection Operator (LASSO) regression. The data were validated by 10-fold cross-validation. Four ML techniques (naïve Bayes, K-nearest neighbor, decision tree, and logistic regression) were employed. The performance of each algorithm was measured, and logistic regression was a well-performing algorithm. After multivariable logistic regression and model reduction, a nomogram was developed to predict the individual risk of DR. RESULTS Logistic regression was the best algorithm for predicting DR with an area under the curve of 92%, sensitivity of 87%, specificity of 83%, precision of 84%, F1-score of 85%, and accuracy of 85%. The logistic regression model selected seven predictors: total cholesterol, duration of diabetes, glycemic control, adherence to anti-diabetic medications, other microvascular complications of diabetes, sex, and hypertension. A nomogram was developed and deployed as a web-based application. A decision curve analysis showed that the model was useful in clinical practice and was better than treating all or none of the patients. CONCLUSIONS The model has excellent performance and a better net benefit to be utilized in clinical practice to show the future probability of having DR. Identifying those with a higher risk of DR helps in the early identification and intervention of DR.
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Affiliation(s)
- Tsion Mulat Tebeje
- School of Public Health, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.
| | - Melaku Kindie Yenit
- Department of Epidemiology and Biostatistics, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia; School of Health and Medical Sciences, and Centre for Health Research, University of Southern Queensland, Australia
| | - Solomon Gedlu Nigatu
- Department of Epidemiology and Biostatistics, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Segenet Bizuneh Mengistu
- Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tigabu Kidie Tesfie
- Department of Epidemiology and Biostatistics, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Negalgn Byadgie Gelaw
- Department of Public Health, Mizan Aman College of Health Science, Mizan Aman, Southwest Ethiopia, Ethiopia
| | - Yazachew Moges Chekol
- Department of Health Information Technology, Mizan Aman College of Health Science, Mizan Aman, Southwest Ethiopia, Ethiopia
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Wu S, Zhang Y, Hou Y, Zhu J, Yang H, Cui Y. Research on the role of exosomes secreted by immortalized adipose-derived mesenchymal stem cells differentiated into pericytes in the repair of high glucose-induced retinal vascular endothelial cell damage. Exp Eye Res 2024; 247:110046. [PMID: 39147191 DOI: 10.1016/j.exer.2024.110046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 07/27/2024] [Accepted: 08/13/2024] [Indexed: 08/17/2024]
Abstract
Diabetic retinopathy, a leading cause of vision impairment, is marked by microvascular complications in the retina, including pericyte loss, a key indicator of early-stage disease. This study explores the therapeutic potential of exosomes derived from immortalized adipose-mesenchymal stem cells differentiated into pericyte-like cells in restoring the function of mouse retinal microvascular endothelial cells damaged by high glucose conditions, thereby contributing to the understanding of early diabetic retinopathy intervention strategies. To induce immortalized adipose-mesenchymal stem cells differentiation into pericyte-like cells, the study employed pericyte growth supplement. And confirmed the success of cell differentiation through the detection of α-smooth muscle actin and neural/glial antigen 2 expression by Western blot and immunofluorescence. Exosomes were isolated from the culture supernatant of immortalized adipose-mesenchymal stem cells using ultracentrifugation and characterized through Western blot for exosomal markers (CD9, CD81, and TSG101), transmission electron microscopy, and nanoparticle tracking analysis. Their influence on mouse retinal microvascular endothelial cells under high glucose stress was assessed through various functional assays. Findings revealed that exosomes, especially those from pericyte-like immortalized adipose-mesenchymal stem cells, were efficiently internalized by retinal microvascular endothelial cells and effectively counteracted high glucose-induced apoptosis. These exosomes also mitigated the rise in reactive oxygen species levels and suppressed the migratory and angiogenic properties of retinal microvascular endothelial cells, as demonstrated by Transwell and tube formation assays, respectively. Furthermore, they preserved endothelial barrier function, reducing hyperglycemia-induced permeability. At the molecular level, qRT-PCR analysis showed that exosome treatment modulated the expression of critical genes involved in angiogenesis (VEGF-A, ANG2, MMP9), inflammation (IL-1β, TNF-α), gap junction communication (CX43), and cytoskeletal regulation (ROCK1), with the most prominent effects seen with exosomes from pericyte-like immortalized adipose-mesenchymal stem cells. High glucose increased the expression of pro-angiogenic and pro-inflammatory markers, which were effectively normalized post-exosome treatment. In conclusion, this research highlights the reparative capacity of exosomes secreted by pericyte-like differentiated immortalized adipose-mesenchymal stem cells in reversing the detrimental effects of high glucose on retinal microvascular endothelial cells. By reducing apoptosis, oxidative stress, inflammation, and abnormal angiogenic behavior, these exosomes present a promising avenue for therapeutic intervention in early diabetic retinopathy. Future studies can focus on elucidating the precise molecular mechanisms and exploring their translational potential in vivo.
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Affiliation(s)
- Sihui Wu
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China; School of Medicine, Shandong University, Jinan, Shandong Province, China; NHC Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, Shandong Province, China; Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong Province, China
| | - Yunnan Zhang
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China; School of Medicine, Shandong University, Jinan, Shandong Province, China; NHC Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, Shandong Province, China; Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong Province, China
| | - Yaru Hou
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China; School of Medicine, Shandong University, Jinan, Shandong Province, China; NHC Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, Shandong Province, China; Laboratory of Basic Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong Province, China
| | - Jing Zhu
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China
| | - Hongling Yang
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China
| | - Yan Cui
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China.
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McDonnell D, Smith D, Forde H. Letter to the editor. Diabet Med 2024; 41:e15391. [PMID: 38898667 DOI: 10.1111/dme.15391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 06/09/2024] [Indexed: 06/21/2024]
Affiliation(s)
- David McDonnell
- Department of Endocrinology and Diabetes, Beaumont Hospital, Dublin, Ireland
| | - Diarmuid Smith
- Department of Endocrinology and Diabetes, Beaumont Hospital, Dublin, Ireland
| | - Hannah Forde
- Department of Endocrinology and Diabetes, Beaumont Hospital, Dublin, Ireland
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38
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Lázaro P, Blasco AJ, Contreras I, González R, Zulueta J, Pinilla I. Perception of patients with retinal pathology on aspects of visual function and their management. ARCHIVOS DE LA SOCIEDAD ESPANOLA DE OFTALMOLOGIA 2024; 99:427-435. [PMID: 38909889 DOI: 10.1016/j.oftale.2024.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/11/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND AND OBJECTIVE Age-related macular degeneration (AMD) and diabetic retinopathy (DR) are highly prevalent. OBJECTIVE To explore perceptions of patients with AMD or DR about the impact of the disease and treatment on their daily living activities. MATERIALS AND METHODS Semi-structured interviews with a questionnaire developed from validated patient reported outcomes questionnaires. The questionnaire consisted of 19 questions about the disease and 9 about the treatment. The questions (items) were answered on a scale from 1 to 9. In addition, the patient interviewed was invited to make free comments on each question. Nine patients with AMD and 9 with DR were interviewed by videoconference or telephone call. A quantitative analysis of the responses and a qualitative analysis of the comments were carried out. RESULTS The most relevant item for patients with AMD or DR is "Recognize people when they are nearby", and "Read text in normal size font in a newspaper or book", followed, in patients with AMD, by "Do things what you would like" and, in patients with DR, "Feeling frustrated by the vision problems." Regarding the treatment, the most relevant aspects for both groups is that the treatment works and receiving appropriate information before and after the treatment. The qualitative comments were focused to the disease, the treatment, and to the role of doctors and the health system. CONCLUSION Quantitative responses and free comments can be useful to improve the care of patients with AMD or DR by physicians and the health system.
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Affiliation(s)
- P Lázaro
- Investigador Independiente en Servicios de Salud, Madrid. Spain
| | - A J Blasco
- Investigador Independiente en Servicios de Salud, Rivas Vaciamadrid, Madrid, Spain.
| | - I Contreras
- Servicio de Oftalmología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigaciones Sanitarias (IRYCIS), Madrid, Spain; Clínica Rementería, Madrid, Spain
| | - R González
- Asociación Mácula Retina, Sevilla, Spain
| | - J Zulueta
- Asociación Mácula Retina, Sevilla, Spain
| | - I Pinilla
- Servicio de Oftalmología, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
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Zhang G, Wen X, Li Y, Sun J, Jia H, Sun X. Comprehensive assessment of the impact of intravitreal faricimab on retinal diseases: A systematic review, meta-analysis, and trial sequential analysis. Pharmacol Res 2024; 208:107335. [PMID: 39147004 DOI: 10.1016/j.phrs.2024.107335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 07/17/2024] [Accepted: 07/29/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND Faricimab stands as the inaugural and sole bispecific antibody approved by the US Food and Drug Administration (FDA) for intravitreal injection. Nonetheless, the efficacy and safety of intravitreal faricimab remained uncertain. OBJECTIVES The purpose of this study was to evaluate faricimab. METHODS This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (CRD42023398320). Five databases (Pubmed, Embase, Web of science, Cochrane Library, ClinicalTrials gov) were searched. We calculated pooled standard mean difference or odds ratio with 95 % confident interval under a random-effect model or fixed-effect model. Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) was employed to ascertain the reliability of the analyses. Trial sequential analysis was performed to gauge the statistical reliability of the data in the cumulative meta-analysis. RESULTS 8 studies (3975 participants) were included. The use of faricimab was associated with central subfield thickness (CST) change, but no difference was found in other primary efficacy outcomes. Apart from that, a correlation was observed between the use of faricimab and the risk of vitreous floaters. Based on TSA, strong evidence indicates that compared to the control group, faricimab aided in reducing CST but increasing the risk of vitreous floaters. CONCLUSIONS In this study, a correlation existed between the use of faricimab and a reduction in CST, indicating a superior therapeutic effect. Moreover, participants treated with faricimab demonstrated a higher risk of vitreous floaters. More randomized controlled trials are essential to further explore the efficacy and safety of faricimab.
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Affiliation(s)
- Guanran Zhang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Shanghai Key Laboratory of Fundus Diseases, Shanghai, China; National Clinical Research Center for Ophthalmic Diseases, Shanghai, China
| | - Xin Wen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanrong Li
- Clinical Medicine, Shandong University, Jinan, China
| | - Junran Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Shanghai Key Laboratory of Fundus Diseases, Shanghai, China; National Clinical Research Center for Ophthalmic Diseases, Shanghai, China.
| | - Huixun Jia
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Shanghai Key Laboratory of Fundus Diseases, Shanghai, China; National Clinical Research Center for Ophthalmic Diseases, Shanghai, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Shanghai Key Laboratory of Fundus Diseases, Shanghai, China; National Clinical Research Center for Ophthalmic Diseases, Shanghai, China
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Chen S, Qin X, Sun Y, Ma Z, Niu C, Xu Y, Lu L, Zou H. 12-HETE/GPR31 induces endothelial dysfunction in diabetic retinopathy. FASEB J 2024; 38:e70064. [PMID: 39295162 DOI: 10.1096/fj.202401362r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 08/18/2024] [Accepted: 09/09/2024] [Indexed: 09/21/2024]
Abstract
12-hydroxyeicosatetraenoic acid (12-HETE), a major metabolite of arachidonic acid, is converted by 12/15-lipoxygenase and implicated in diabetic retinopathy (DR). Our previous study demonstrated a positive correlation between 12-HETE and the prevalence of DR. However, reasons for the increased production of 12-HETE are unclear, and the underlying mechanisms through which 12-HETE promotes DR are unknown. This study aimed to elucidate the correlation between 12-HETE and DR onset, investigate potential mechanisms through which 12-HETE promotes DR, and seek explanations for the increased production of 12-HETE in diabetes. We conducted a prospective cohort study, which revealed that higher serum 12-HETE levels could induce DR. Additionally, G protein-coupled receptor 31 (GPR31), a high-affinity receptor for 12-HETE, was expressed in human retinal microvascular endothelial cells (HRMECs). 12-HETE/GPR31-mediated HRMEC inflammation occurred via the p38 MAPK pathway. 12-HETE levels were significantly higher in the retina of mice with high-fat diet (HFD)- and streptozotocin (STZ)-induced diabetes than in those with only STZ-induced diabetes and healthy controls. They were positively correlated with the levels of inflammatory cytokines in the retina, indicating that HFD could induce increased 12-HETE synthesis in patients with diabetes in addition to hyperglycemia. Conclusively, 12-HETE is a potential risk factor for DR. The 12-HETE/GPR31 axis plays a crucial role in HRMEC dysfunction and could be a novel target for DR prevention and control. Nevertheless, further research is warranted to provide comprehensive insights into the complex underlying mechanisms of 12-HETE in DR.
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Affiliation(s)
- Shuli Chen
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinran Qin
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Sun
- Shanghai MicroH Therapeutics, LLC, Shanghai, China
| | - Zhenlin Ma
- Shanghai MicroH Therapeutics, LLC, Shanghai, China
| | - Chen Niu
- Shanghai MicroH Therapeutics, LLC, Shanghai, China
| | - Yi Xu
- Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China
| | - Lina Lu
- Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China
| | - Haidong Zou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
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Kammoun S, Rekik M, Dlensi A, Aloulou S, Smaoui W, Sellami S, Trigui K, Gargouri R, Chaari I, Sellami H, Elatoui D, Khemakhem N, Hadrich I, Neji S, Abdelmoula B, Bouayed Abdelmoula N. The gut-eye axis: the retinal/ocular degenerative diseases and the emergent therapeutic strategies. Front Cell Neurosci 2024; 18:1468187. [PMID: 39391760 PMCID: PMC11464360 DOI: 10.3389/fncel.2024.1468187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 09/09/2024] [Indexed: 10/12/2024] Open
Abstract
The interplay between human microbiota and various physiological systems has garnered significant attention in recent years. The gut microbiota plays a critical role in maintaining physiological homeostasis and influences various aspects of human health, particularly via the gut brain axis. Since 2017, the challenging concept of the gut-retina axis has emerged thanks to a network analysis emphasizing the potential role of the gut microbiota disruption in the development of the age-related macular degeneration and further retinal damages. Many other ocular disorders have been linked to the dysbiosis of the gut microbiota, including uveitis and glaucoma. It has been shown that age related macular degeneration can be prevented or reversed using a diet that induces changes in the gut microbiota. The potential link between the gut microbiota as well as others types of microbiota such as the ocular surface microbiota and the development/progression of age related as well as inherited retinal degenerations and other degenerative eye diseases, has recently been broadened. Therefore, the pathogenesis of several eye diseases has recently been associated with a larger perception called the gut eye axis. This mini-review examines the potential mechanisms underlying the gut eye axis and suggests implications for the management of eye diseases. By understanding the modulation of the gut microbiota and its impact on eye disease, this mini-review provides insight into potential therapeutic interventions and avenues for future research.
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Affiliation(s)
- Sonda Kammoun
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
- Ophthalmology Department, Faculty of Medicine, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Mona Rekik
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
- Ophthalmology Department, Faculty of Medicine, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Aryj Dlensi
- Ophthalmology Department, Faculty of Medicine, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Samir Aloulou
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
- Medical Carcinology Department, Faculty of Medicine, Mohamed Ben Sassi University Hospital of Gabes, University of Sfax, Sfax, Tunisia
| | - Walid Smaoui
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
- Urology Department, Faculty of Medicine, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia
| | - Sahla Sellami
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
| | - Khaled Trigui
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
| | - Rahma Gargouri
- Drosophila Research Unit UR22ES03 FMS, University of Sfax, Sfax, Tunisia
| | - Imen Chaari
- Drosophila Research Unit UR22ES03 FMS, University of Sfax, Sfax, Tunisia
| | - Hayet Sellami
- Drosophila Research Unit UR22ES03 FMS, University of Sfax, Sfax, Tunisia
- Parasitology and Mycology Department, Faculty of Medicine, University of Sfax, Sfax, Tunisia
| | - Dhawia Elatoui
- Drosophila Research Unit UR22ES03 FMS, University of Sfax, Sfax, Tunisia
| | - Nahed Khemakhem
- Fungal and Parasitic Molecular Biology Laboratory LR05ES11 FMS, University of Sfax, Sfax, Tunisia
| | - Ines Hadrich
- Fungal and Parasitic Molecular Biology Laboratory LR05ES11 FMS, University of Sfax, Sfax, Tunisia
| | - Sourour Neji
- Parasitology and Mycology Department, Faculty of Medicine, University of Sfax, Sfax, Tunisia
- Fungal and Parasitic Molecular Biology Laboratory LR05ES11 FMS, University of Sfax, Sfax, Tunisia
| | - Balkiss Abdelmoula
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
| | - Nouha Bouayed Abdelmoula
- Genomics of Signalopathies at the Service of Precision Medicine LR23ES07 FMS, University of Sfax, Sfax, Tunisia
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Frampton E, Som P, Hill B, Yu A, Naval-Sanchez M, Nefzger CM, Noordstra I, Gordon E, Schimmel L. Endothelial c-Src Mediates Neovascular Tuft Formation in Oxygen-Induced Retinopathy. THE AMERICAN JOURNAL OF PATHOLOGY 2024:S0002-9440(24)00355-9. [PMID: 39332676 DOI: 10.1016/j.ajpath.2024.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 08/21/2024] [Accepted: 09/03/2024] [Indexed: 09/29/2024]
Abstract
Vascular retinopathy, characterized by abnormal blood vessel growth in the retina, frequently results in vision impairment or loss. Neovascular tufts, a distinctive pathologic feature of this condition, are highly leaky blood vessel structures, exacerbating secondary complications. Despite their clinical significance, the mechanisms underlying tuft development are not fully elucidated, posing challenges for effective management and treatment of vascular retinopathy. This study investigates the role of c-Src in neovascular tuft formation. Although c-Src has been acknowledged as a pivotal regulator in developmental angiogenesis within the retinal vasculature, its specific role in governing pathologic retinal angiogenesis remains to be fully understood. The oxygen-induced retinopathy model was used for neovascular tuft formation in both Cre-mediated vascular-specific c-Src knockout mice and wild-type littermates. High-resolution imaging and analysis of isolated retinas were conducted. c-Src depletion demonstrated a significant reduction in neovascular tufts within the oxygen-induced retinopathy model. This decrease in tuft formation was observed independently of any alterations in cell death, cell proliferation, or cell adhesion, and the absence of c-Src did not impact tuft pericyte coverage and junctional morphology. These findings underline the critical role of c-Src in the pathogenesis of neovascular tufts in vascular retinopathy. Understanding the molecular mechanisms involving c-Src may offer valuable insights for the development of targeted therapies aimed at mitigating vision-threatening complications associated with retinopathy.
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Affiliation(s)
- Emmanuelle Frampton
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Priyanka Som
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Brittany Hill
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Alexander Yu
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Marina Naval-Sanchez
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Chistian M Nefzger
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Ivar Noordstra
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Emma Gordon
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia
| | - Lilian Schimmel
- Centre for Cell Biology of Chronic Disease, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland, Australia.
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Xu X, Xu S, Gao Y, He S, He J, Chen X, Guo J, Zhang X. Remote ischemic conditioning slows blood-retinal barrier damage in type 1 diabetic rats. Brain Res 2024; 1846:149253. [PMID: 39332618 DOI: 10.1016/j.brainres.2024.149253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 09/03/2024] [Accepted: 09/24/2024] [Indexed: 09/29/2024]
Abstract
Diabetic retinopathy (DR) is one of the major complications of diabetes and can cause severe visual impairment. Blood-retina barrier (BRB) destruction resulted from chronic hyperglycemia underlines its major pathological process. However, current treatments have limited efficacy and may even cause serious complications. Remote ischemic conditioning (RIC), through repeated transient mechanical occlusion of limb blood vessels, has been confirmed to promote blood-brain barrier integrity after stroke, but its role in BRB disruption has not been elucidated. This study aimed to investigate the protective effects of RIC on the BRB in diabetic rats and its potential mechanisms. 48 Sprague-Dawley rats were randomly assigned to the Sham group, Sham + RIC group, diabetes mellitus (DM) group and DM+RIC group. The diabetic model was successfully induced by intraperitoneal injection of streptozotocin. RIC treatment was administered daily and lasted for 9 weeks. In functional analysis, RIC improved the retinal function based on electroretinogram data and reduced the leakage of BRB in diabetic rats. In proteomic analysis, tight junction pathway was enriched after RIC treatment, in which Patj gene was significantly increased. We also found that RIC increased mRNA levels of Patj, claudin-1 and zonula occludens (ZO)-1, protein expression of claudin-1 when compared with diabetic models. In conclusion, RIC slowed BRB damage in diabetic rats, which may be related to the preservation of tight junction proteins. RIC may be a promising protective strategy for the treatment of DR.
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Affiliation(s)
- Xiaohan Xu
- Department of Ophthalmology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Shuaili Xu
- Department of Neurology and China-America Institute of Neuroscience, Xuanwu Hospital, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Yuan Gao
- Department of Ophthalmology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Shan He
- Department of Ophthalmology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jiachen He
- Department of Neurology and China-America Institute of Neuroscience, Xuanwu Hospital, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Xi Chen
- Department of Neurology and China-America Institute of Neuroscience, Xuanwu Hospital, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Jiaqi Guo
- Department of Neurology and China-America Institute of Neuroscience, Xuanwu Hospital, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Xuxiang Zhang
- Department of Ophthalmology, Xuanwu Hospital of Capital Medical University, Beijing, China.
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Xiao R, Huang X, Gao S, Duan J, Zhang Y, Zhang M. Microglia in retinal diseases: From pathogenesis towards therapeutic strategies. Biochem Pharmacol 2024; 230:116550. [PMID: 39307318 DOI: 10.1016/j.bcp.2024.116550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Revised: 08/21/2024] [Accepted: 09/19/2024] [Indexed: 10/01/2024]
Abstract
Microglia, a widely dispersed cohort of immune cells in the retina, are intricately involved in a diverse range of pivotal biological processes, including inflammation, vascular development, complement activation, antigen presentation, and phagocytosis. Within the retinal milieu, microglia are crucial for the clearance of dead cells and cellular debris, release of anti-inflammatory agents, and orchestration of vascular network remodeling to maintain homeostasis. In addition, microglia are key mediators of neuroinflammation. Triggered by oxidative stress, elevated intraocular pressure, genetic anomalies, and immune dysregulation, microglia release numerous inflammatory cytokines, contributing to the pathogenesis of various retinal disorders. Recent studies on the ontogeny and broad functions of microglia in the retina have elucidated their characteristics during retinal development, homeostasis, and disease. Furthermore, therapeutic strategies that target microglia and their effector cytokines have been developed and shown positive results for some retinal diseases. Therefore, we systematically review the microglial ontogeny in the retina, elucidate their dual roles in retinal homeostasis and disease pathogenesis, and demonstrate microglia-based targeted therapeutic strategies for retinal diseases.
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Affiliation(s)
- Ruihan Xiao
- The Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, China; The Department of Ophthalmology and Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xi Huang
- The Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, China; The Department of Ophthalmology and Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Sheng Gao
- The Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, China; The Department of Ophthalmology and Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianan Duan
- The Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, China; The Department of Ophthalmology and Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yun Zhang
- The Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, China; The Department of Ophthalmology and Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Meixia Zhang
- The Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, 610041, China; The Department of Ophthalmology and Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Ju Y, Guo Z, Ai J, Yang K, Zhu X, Shi K, Li C, Yu T, Xiao Y, Su B, Yan J, Li Z, Lian W, Wang Z, Ding S, Wang Y, Lu F, Cui L, Li M. Risk prediction of diabetic retinopathy based on visit-to-visit fasting blood glucose indices. Front Endocrinol (Lausanne) 2024; 15:1420948. [PMID: 39371926 PMCID: PMC11449774 DOI: 10.3389/fendo.2024.1420948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 08/26/2024] [Indexed: 10/08/2024] Open
Abstract
Objective The long-term glucose monitoring is essential to the risk assessment of diabetic retinopathy (DR), the aim of this study was to investigate the predictive ability of visit-to-visit fasting blood glucose (FBG) indices on the risk of DR. Methods This was a community-based, cohort study conducted from 2013 to 2021. DR was diagnosed by digital fundus photography. The FPG indices included FBG, var. Associations of each FBG indices and DR were estimated using multinomial logistic regression models adjusting for confounders, and discrimination was determined by area under the curve (AUC). Predictive utility of different models was compared by changes in AUC, integrated discrimination improvement (IDI), and net reclassification index (NRI). Results This study analyzed 5054 participants, the mean age was 46.26 ± 11.44 years, and 2620 (51.84%) were women. After adjustment for confounders, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for FBG, SD, CV, VIM, ARV, M-FBG, and cumulative FBG load were 1.62 (1.52-1.73), 2.74 (2.38-3.16), 1.78 (1.62-1.95), 1.11 (0.95-1.29), 1.72 (1.56-1.91), 2.15 (1.96-2.36), and 2.57 (2.31-2.85), respectively. The AUC of the model with separate cumulative FBG load and classical risk factors was 0.9135 (95%CI 0.8890-0.9380), and no substantive improvement in discrimination was achieved with the addition of other FBG indices once cumulative FBG load was in the model. Conclusions Cumulative FBG load is adequate for capturing the glucose-related DR risk, and the predictive utility of cumulative FBG load is not significantly improved by adding or replacing other FBG indices in the assessment of DR risk.
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Affiliation(s)
- Ying Ju
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zhengyang Guo
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jiaqi Ai
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Kai Yang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiaoxuan Zhu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Keai Shi
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Chunmei Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Tianyun Yu
- School of Optometry and Vision Science, University of New South Wales, Sydney, NSW, Australia
| | - Yunfan Xiao
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Binbin Su
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jinxia Yan
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Ziyu Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wei Lian
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zhenqin Wang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Shasha Ding
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yudie Wang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Fan Lu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Lele Cui
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
| | - Ming Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China
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Liang P, Ness J, Rapp J, Boneva S, Schwämmle M, Jung M, Schlunck G, Agostini H, Bucher F. Characterization of the angiomodulatory effects of Interleukin 11 cis- and trans-signaling in the retina. J Neuroinflammation 2024; 21:230. [PMID: 39294742 PMCID: PMC11412048 DOI: 10.1186/s12974-024-03223-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 09/03/2024] [Indexed: 09/21/2024] Open
Abstract
BACKGROUND The IL-6 cytokine family, with its crucial and pleiotropic intracellular signaling pathway STAT3, is a promising target for treating vasoproliferative retinal diseases. Previous research has shown that IL-6 cis-signaling (via membrane-bound receptors) and trans-signaling (via soluble receptors) can have distinct effects on target cells, leading to their application in various disease treatments. While IL-6 has been extensively studied, less is known about the angiogenic effects of IL-11, another member of the IL-6 family, in the retina. Therefore, the aim of this study was to characterize the effects of IL-11 on retinal angiogenesis. MAIN TEXT In vitreous samples from proliferative diabetic retinopathy (PDR) patients, elevated levels of IL-11Rα, but not IL-11, were detected. In vitro studies using vascular endothelial cells revealed distinct effects of cis- and trans-signaling: cis-signaling (IL-11 alone) had antiangiogenic effects, while trans-signaling (IL-11 + sIL-11Rα) had proangiogenic and pro-migratory effects. These differences can be attributed to their individual signaling responses and associated transcriptomic changes. Notably, no differences in cis- and trans-signaling were detected in primary mouse Müller cell cultures. STAT3 and STAT1 siRNA knockdown experiments revealed opposing effects on IL-11 signaling, with STAT3 functioning as an antiproliferative and proapoptotic player while STAT1 acts in opposition to STAT3. In vivo, both IL-11 and IL-11 + sIL-11Rα led to a reduction in retinal neovascularization. Immunohistochemical staining revealed Müller cell activation in response to treatment, suggesting that IL-11 affects multiple retinal cell types in vivo beyond vascular endothelial cells. CONCLUSIONS Cis- and trans-signaling by IL-11 have contrasting angiomodulatory effects on endothelial cells in vitro. In vivo, cis- and trans-signaling also influence Müller cells, ultimately determining the overall angiomodulatory impact on the retina, highlighting the intricate interplay between vascular and glial cells in the retina.
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Affiliation(s)
- Paula Liang
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
| | - Jan Ness
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
- Institute of Pharmaceutical Sciences, Faculty of Chemistry and Pharmacy, University of Freiburg, Freiburg, Germany
| | - Julian Rapp
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
- Department of Medicine I, Medical Center - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stefaniya Boneva
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
| | - Melanie Schwämmle
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Malte Jung
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
| | - Günther Schlunck
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
| | - Hansjürgen Agostini
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany
| | - Felicitas Bucher
- Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Klinik für Augenheilkunde, Kilianstrasse 5, 79106, Freiburg im Breisgau, Germany.
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Zhang Z, Li L, Fu W, Fu Z, Si M, Wu S, Shou Y, Pei X, Yan X, Zhang C, Wang T, Liu F. Therapeutic effects of natural compounds against diabetic complications via targeted modulation of ferroptosis. Front Pharmacol 2024; 15:1425955. [PMID: 39359249 PMCID: PMC11445066 DOI: 10.3389/fphar.2024.1425955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 09/05/2024] [Indexed: 10/04/2024] Open
Abstract
Diabetes mellitus, a chronic metabolic disorder, can result in serious tissue and organ damage due to long-term metabolic dysfunction, leading to various complications. Therefore, exploring the pathogenesis of diabetic complications and developing effective prevention and treatment drugs is crucial. The role of ferroptosis in diabetic complications has emerged as a significant area of research in recent years. Ferroptosis, a recently discovered form of regulated cell death closely linked to iron metabolism imbalance and lipid peroxidation, has garnered increasing attention in studies exploring the potential role of natural products in its regulation. This review provides an overview of the mechanisms underlying ferroptosis, outlines detection methods, and synthesizes information from natural product databases. It also summarizes current research on how natural products may regulate ferroptosis in diabetic complications. Studies have shown that these products can modulate the ferroptosis process by influencing iron ion balance and combating oxidative stress. This highlights the potential of natural products in treating diabetic complications by regulating ferroptosis, offering a new strategy for managing such complications.
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Affiliation(s)
- Zhen Zhang
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China
- School of First Clinical Medical College, Mudanjiang Medical University, Mudanjiang, China
| | - Luxin Li
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China
| | - Wei Fu
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Zhengchao Fu
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China
| | - Mahang Si
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Siyu Wu
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Yueying Shou
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Xinyu Pei
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Xiaoyi Yan
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Chenguang Zhang
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
| | - Tong Wang
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China
| | - Fei Liu
- Public Health School, Mudanjiang Medical University, Mudanjiang, China
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Yang YF, Yuan L, Li XY, Liu Q, Jiang WJ, Jiao TQ, Li JQ, Ye MY, Niu Y, Nan Y. Molecular mechanisms of Buqing granule for the treatment of diabetic retinopathy: Network pharmacology analysis and experimental validation. World J Diabetes 2024; 15:1942-1961. [PMID: 39280184 PMCID: PMC11372640 DOI: 10.4239/wjd.v15.i9.1942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/05/2024] [Accepted: 07/31/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus. Its blindness rate is high; therefore, finding a reasonable and safe treatment plan to prevent and control DR is crucial. Currently, there are abundant and diverse research results on the treatment of DR by Chinese medicine Traditional Chinese medicine compounds are potentially advantageous for DR prevention and treatment because of its safe and effective therapeutic effects. AIM To investigate the effects of Buqing granule (BQKL) on DR and its mechanism from a systemic perspective and at the molecular level by combining network pharmacology and in vivo experiments. METHODS This study collected information on the drug targets of BQKL and the therapeutic targets of DR for intersecting target gene analysis and protein-protein interactions (PPI), identified various biological pathways related to DR treatment by BQKL through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses, and preliminarily validated the screened core targets by molecular docking. Furthermore, we constructed a diabetic rat model with a high-fat and high-sugar diet and intraperitoneal streptozotocin injection, and administered the appropriate drugs for 12 weeks after the model was successfully induced. Body mass and fasting blood glucose and lipid levels were measured, and pathological changes in retinal tissue were detected by hematoxylin and eosin staining. ELISA was used to detect the oxidative stress index expression in serum and retinal tissue, and immunohistochemistry, real-time quantitative reverse transcription PCR, and western blotting were used to verify the changes in the expression of core targets. RESULTS Six potential therapeutic targets of BQKL for DR treatment, including Caspase-3, c-Jun, TP53, AKT1, MAPK1, and MAPK3, were screened using PPI. Enrichment analysis indicated that the MAPK signaling pathway might be the core target pathway of BQKL in DR treatment. Molecular docking prediction indicated that BQKL stably bound to these core targets. In vivo experiments have shown that compared with those in the Control group, rats in the Model group had statistically significant (P < 0.05) severe retinal histopathological damage; elevated blood glucose, lipid, and malondialdehyde (MDA) levels; increased Caspase-3, c-Jun, and TP53 protein expression; and reduced superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) levels, ganglion cell number, AKT1, MAPK1, and MAPK3 protein expression. Compared with the Model group, BQKL group had reduced histopathological retinal damage and the expression of blood glucose and lipids, MDA level, Caspase-3, c-Jun and TP53 proteins were reduced, while the expression of SOD, GSH-Px level, the number of ganglion cells, AKT1, MAPK1, and MAPK3 proteins were elevated. These differences were statistically significant (P < 0.05). CONCLUSION BQKL can delay DR onset and progression by attenuating oxidative stress and inflammatory responses and regulating Caspase-3, c-Jun, TP53, AKT1, MAPK1, and MAPK3 proteins in the MAPK signaling pathway mediates these alterations.
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Affiliation(s)
- Yi-Fan Yang
- Key Laboratory of Ningxia Minority Medicine Modernization Ministry of Education, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Ling Yuan
- College of Pharmacy, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Xiang-Yang Li
- Traditional Chinese Medicine College, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Qian Liu
- School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Wen-Jie Jiang
- Key Laboratory of Ningxia Minority Medicine Modernization Ministry of Education, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Tai-Qiang Jiao
- Traditional Chinese Medicine College, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Jia-Qing Li
- Key Laboratory of Ningxia Minority Medicine Modernization Ministry of Education, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Meng-Yi Ye
- Traditional Chinese Medicine College, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Yang Niu
- Key Laboratory of Ningxia Minority Medicine Modernization Ministry of Education, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
- Traditional Chinese Medicine College, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Yi Nan
- Key Laboratory of Ningxia Minority Medicine Modernization Ministry of Education, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
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Liu Y, Liu K, Xie L, Zuo C, Wang L, Huang W. Sex-based differences in the associations between abdominal obesity and diabetic retinopathy in diabetic patients with normal weight. Heliyon 2024; 10:e36683. [PMID: 39286106 PMCID: PMC11403532 DOI: 10.1016/j.heliyon.2024.e36683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 08/18/2024] [Accepted: 08/20/2024] [Indexed: 09/19/2024] Open
Abstract
Purpose To investigate sex-specific differences in associations of abdominal obesity indexes, systemic factors, and diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM) subjects with normal body mass index (BMI). Methods This cross-sectional study comprised 653 T2DM subjects (402 women and 251 men) with normal BMI (18.5 kg/m2 Results In the multivariate logistic regressions, the presence of any DR was associated with a longer duration of T2DM (OR = 1.07, p = 0.007) and higher HbA1c (OR = 1.40, p = 0.001) in women, while any DR was associated with younger age at T2DM diagnosis (OR = 0.94, p = 0.020) and higher HbA1c (OR = 1.29, p = 0.011) in men. For women, we identified a positive association between WC (OR = 1.07, p = 0.011), WHR (OR = 1.67, p = 0.002), and WHtR (OR = 1.57, p = 0.004) with any DR after adjusting for confounders, and the third tertiles of WC (OR = 2.29, p = 0.028), WHR (OR = 3.03, p = 0.003), and WHtR (OR = 2.84, p = 0.007) were at high risk of any DR. For men, there were no associations between abdominal obesity indexes and any DR in either continuous variables or categorical variables (all p > 0.05). Main conclusions There were sex differences in the relationships between WC, WHR, WHtR, and DR in this T2DM population with normal BMI. Our findings provide new insight into a sex-specific mechanism of DR and management of the condition.
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Affiliation(s)
- Yuan Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Kaiqun Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Liqiong Xie
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Chengguo Zuo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Lanhua Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
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50
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Huang Z, Chen LJ, Huang D, Yi J, Chen Z, Lin P, Wang Y, Zheng J, Chen W. Preoperative Intravitreal Conbercept Injection Reduced Both Angiogenic and Inflammatory Cytokines in Patients With Proliferative Diabetic Retinopathy. J Diabetes Res 2024; 2024:2550367. [PMID: 39308630 PMCID: PMC11416173 DOI: 10.1155/2024/2550367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 06/21/2024] [Accepted: 08/17/2024] [Indexed: 09/25/2024] Open
Abstract
Aims: To investigate the impact of intravitreal injection of conbercept, a recombinant fusion protein with decoy receptors for the vascular endothelial growth factor (VEGF) family, on intraocular concentrations of angiogenic and inflammatory mediators in patients with proliferative diabetic retinopathy (PDR), analyzed its potential impact on surgical outcomes. Methods: Forty eyes from 40 patients with PDR were included in this prospective study. Patients received intravitreal injection of conbercept followed by vitrectomy or phacovitrectomy in 1 week. Aqueous humor samples were collected before and 1 week after the conbercept injection. The concentrations of angiogenic and inflammatory cytokines and chemokines were measured by flow cytometry. Follow-up clinical data were collected and analyzed. Results: Intravitreal conbercept injection significantly decreased aqueous concentrations of VEGF (325.5 (baseline) versus 22.3 pg/mL (postinjection), p < 0.0001), PlGF (39.5 versus 24.5 pg/mL, p < 0.0001), and PDGF-A (54.1 versus 47.0 pg/mL, p = 0.0016), while no impact on bFGF levels. For inflammatory mediators, the concentration of TNF-α (0.79 versus 0.45 pg/mL, p = 0.0004) and IL-8 (180.6 versus 86 pg/mL, p < 0.0001) were decreased, while IL-6 (184.1 versus 333.7 pg/mL, p = 0.0003) and IL-10 (1.1 versus 1.5 pg/mL, p = 0.0032) were increased. No significant changes in IFN-γ or MCP-1 were detected. Three months after surgery, the mean best-corrected visual acuity improved from a baseline of 1.8 ± 0.1 logMAR to 0.7 ± 0.1 logMAR (p < 0.0001), with 36 eyes (90%) achieving an improvement of visual function. Conclusions: Intravitreal conbercept injection presents dual effects of antiangiogenesis and anti-inflammation and can be served as an adjuvant treatment to vitrectomy for PDR patients.
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Affiliation(s)
- Zijing Huang
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Li Jia Chen
- Department of Ophthalmology & Visual SciencesThe Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong
| | - Dingguo Huang
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Jingsheng Yi
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Zhiying Chen
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
- Fifth Clinical InstituteShantou University Medical College, Shantou, Guangdong, China
| | - Peimin Lin
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Yifan Wang
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Jianlong Zheng
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Weiqi Chen
- Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
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