Data mining reveal the association between diabetic foot ulcer and peripheral artery disease

Zhang, Jie; Zhang, Wen; Chen, Xiaoming; Su, Wenxing; Yu, Daojiang

doi:10.3389/fpubh.2022.963426

Cited by 9 publications

(8 citation statements)

References 32 publications

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“… 14 Approximately 25% of patients with ischemic DFU have no revascularization options, and the major amputation rate due to unsuccessful limb revascularization or to being ineligible for revascularization is 25%-50%. 101 , 112 These individuals are generally characterized by multilevel arterial disease, including high involvement of the arteries of the foot (approximately 75% of cases). 112 Among diabetic patients, Faglia et al 113 found that the lack of a patent tibial artery at the end of angioplasty resulted in a 62% amputation rate, compared to 1.7% among patients with at least 1 patent artery to the foot.…”

Section: Chapter 4 the Diabetic Foot And Peripheral Arterial Diseasementioning

confidence: 99%

“… 101 , 112 These individuals are generally characterized by multilevel arterial disease, including high involvement of the arteries of the foot (approximately 75% of cases). 112 Among diabetic patients, Faglia et al 113 found that the lack of a patent tibial artery at the end of angioplasty resulted in a 62% amputation rate, compared to 1.7% among patients with at least 1 patent artery to the foot.…”

Section: Chapter 4 the Diabetic Foot And Peripheral Arterial Diseasementioning

confidence: 99%

“…As indicações para o tratamento da DAP em diabéticos são semelhantes aos pacientes não diabéticos: claudicação limitante, dor em repouso e perda tecidual associada a úlceras que não cicatrizam e gangrenas 14 . Entre os pacientes com UPDs isquêmicos, aproximadamente 25% não possuem opções para revascularização, com uma taxa de 25-50% de amputação maior devido à revascularização malsucedida do membro ou não serem candidatos a revascularização 101 , 112 . Esses indivíduos são geralmente caracterizados por uma doença arterial multinível, com alto envolvimento das artérias do pé (aproximadamente em 75% dos casos) 112 .…”

Section: Capítulo 4 Pé Diabético Com Doença Arterial Periféricaunclassified

“…Entre os pacientes com UPDs isquêmicos, aproximadamente 25% não possuem opções para revascularização, com uma taxa de 25-50% de amputação maior devido à revascularização malsucedida do membro ou não serem candidatos a revascularização 101 , 112 . Esses indivíduos são geralmente caracterizados por uma doença arterial multinível, com alto envolvimento das artérias do pé (aproximadamente em 75% dos casos) 112 . Faglia et al demonstraram que em pacientes diabéticos com ausência de uma artéria tibial patente no final da angioplastia resultou em uma taxa de amputação de 62%, em comparação com 1,7% em pacientes com pelo menos uma artéria patente para o pé 113 .…”

Section: Capítulo 4 Pé Diabético Com Doença Arterial Periféricaunclassified

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Brazilian Society of Angiology and Vascular Surgery 2023 guidelines on the diabetic foot

Duarte Junior,

Lopes,

Gaio

et al. 2024

J. vasc. bras.

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The diabetic foot interacts with anatomical, vascular, and neurological factors that challenge clinical practice. This study aimed to compile the primary scientific evidence based on a review of the main guidelines, in addition to articles published on the Embase, Lilacs, and PubMed platforms. The European Society of Cardiology system was used to develop recommendation classes and levels of evidence. The themes were divided into six chapters (Chapter 1 - Prevention of foot ulcers in people with diabetes; Chapter 2 - Pressure relief from foot ulcers in people with diabetes; Chapter 3 -Classifications of diabetic foot ulcers; Chapter 4 - Foot and peripheral artery disease; Chapter 5 - Infection and the diabetic foot; Chapter 6 - Charcot's neuroarthropathy). This version of the Diabetic Foot Guidelines presents essential recommendations for the prevention, diagnosis, treatment, and follow-up of patients with diabetic foot, offering an objective guide for medical practice.

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Section: Chapter 4 the Diabetic Foot And Peripheral Arterial Diseasementioning

confidence: 99%

Section: Chapter 4 the Diabetic Foot And Peripheral Arterial Diseasementioning

confidence: 99%

Section: Capítulo 4 Pé Diabético Com Doença Arterial Periféricaunclassified

See 2 more Smart Citations

Brazilian Society of Angiology and Vascular Surgery 2023 guidelines on the diabetic foot

Duarte Junior,

Lopes,

Gaio

et al. 2024

J. vasc. bras.

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“…It imposes serious economic, physical, and psychological burdens on patients. 2 Extensive alterations related to diabetes, such as neuropathy and vascular conditions, frequently worsen the advancement of DFU. 3 The lifetime occurrence of DFU among individuals with diabetes varies between 15% and 25%.…”

Section: Introductionmentioning

confidence: 99%

Identifying and Validating GSTM5 as an Immunogenic Gene in Diabetic Foot Ulcer Using Bioinformatics and Machine Learning

Shi,

Yuan,

Liu

et al. 2023

JIR

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Background: A diabetic foot ulcer (DFU) is a serious, long-term condition associated with a significant risk of disability and mortality. However, research on its biomarkers is still limited. This study utilizes bioinformatics and machine learning methods to identify immune-related biomarkers for DFU and validates them through external datasets and animal experiments. Methods: This study used bioinformatics and machine learning to analyze microarray data from the Gene Expression Omnibus (GEO) database to identify key genes associated with DFU. Animal experiments were conducted to validate these findings. This research employs the datasets GSE68183 and GSE80178 retrieved from the GEO database as the training dataset for building a gene machine learning model, and after conducting differential analysis on the data, this study used package glmnet and package e1071 to construct LASSO and SVM-RFE machine learning models, respectively. Subsequently, we validated the model using the training set and validation set (GSE134431). We conducted enrichment analysis, including GSEA and GSVA, on the model genes. We also performed immune functional analysis and immune-related analysis on the model genes. Finally, we conducted immunohistochemistry (IHC) validation on the model genes.Results: This study identifies GSTM5 as a potential immune-related key target in DFU using machine learning and bioinformatics methods. Subsequent validation through external datasets and IHC experiments also confirms GSTM5 as a critical biomarker for DFU. The gene may be associated with T cells regulatory (Tregs) and T cells follicular helper, and it influences the NF-κB, GnRH, and MAPK signaling pathway. Conclusion:This study identified and validated GSTM5 as a biomarker for DFU. This finding may potentially provide a target for immune therapy for DFU.

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Machine Learning-Driven discovery of immunogenic cell Death-Related biomarkers and molecular classification for diabetic ulcers

Cai,

Li,

Zhao

et al. 2025

Gene

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Data mining reveal the association between diabetic foot ulcer and peripheral artery disease

Cited by 9 publications

References 32 publications

Brazilian Society of Angiology and Vascular Surgery 2023 guidelines on the diabetic foot

Brazilian Society of Angiology and Vascular Surgery 2023 guidelines on the diabetic foot

Identifying and Validating GSTM5 as an Immunogenic Gene in Diabetic Foot Ulcer Using Bioinformatics and Machine Learning

Machine Learning-Driven discovery of immunogenic cell Death-Related biomarkers and molecular classification for diabetic ulcers

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