Publications by authors named "Wei-Ming Luo"
Article Synopsis
- The study addresses the significant issue of kidney disease in type 2 diabetes (T2D) patients, emphasizing the need for better biomarkers to assess kidney function beyond the conventional eGFR method, which can be unreliable.
- Using a dataset of 2,342 T2D patients from two hospitals, the research applied various machine learning techniques to identify plasma metabolomic features correlated with changes in kidney function.
- The findings revealed that certain metabolites, particularly glutarylcarnitine and citrulline, are linked to reduced kidney function, with the XGBoost model showing the highest performance in distinguishing groups based on kidney health.
Background: Type 2 diabetes mellitus (T2DM), one of the most common public diseases threatening human health, is always accompanied by infection. Though there are still a variety of flaws in the treatment of some infectious diseases, metabolomics provides a fresh perspective to explore the relationship between T2DM and infection. Our research aimed to investigate the association between plasma free amino acids (PFAAs) and T2DM complicated with infection in Chinese patients.
View Article and Find Full Text PDFArticle Synopsis
- The increasing burden of diabetic retinopathy (DR) highlights the need for better biomarkers, leading to the investigation of metabolic profiles like amino acids (AAs) and acylcarnitines (AcylCN) in early-stage DR patients.
- A metabolite-based prediction model was developed using logistic regression and an advanced XGBoost method, which showed that incorporating certain metabolic variables could effectively predict DR risk in type 2 diabetes patients.
- Key metabolites such as threonine, tyrosine, and specific acylcarnitines were identified as potential biomarkers with associated cut-off values, useful in identifying high-risk individuals and preventing DR.
Article Synopsis
- * Researchers analyzed data from 1031 patients and found that while some amino acids offer protection against nephropathy, their effects can be overshadowed in patients with retinopathy.
- * The results indicate that patients with diabetic retinopathy face a higher risk of developing nephropathy, and using multiple oral hypoglycemic drugs can intensify this risk compared to using just one medication alone.
Article Synopsis
- The study investigates the link between homocysteine (Hcy) levels and diabetic retinopathy (DR) in patients with type 2 diabetes, emphasizing the influence of Hcy metabolic pathways.
- The research analyzed data from 1,979 patients, revealing a negative correlation between low Hcy levels and DR, specifically significant in patients with lower cysteine levels and suggesting a U-shaped relationship between Hcy and DR progression.
- The findings indicate that low Hcy levels might signal deficiencies in other nutrients, and further research is necessary to better understand Hcy's role in the development of DR.
Background: Lung adenocarcinoma (LUAD) is the main subtype of non-small cell lung cancer with a low survival prognosis. We aimed to generate a prognostic model for the postoperative recurrence of LUAD.
Methods: The methylated DNA data of LUAD patients were downloaded from the Cancer Genome Atlas (TCGA).
The pathogenesis of glioma remains largely unknown now. It has been suggested that the X-ray cross-complementing group 1 (XRCC1) gene may influence the capacity to repair DNA damage leading to an increased gliomas susceptibility. This study aimed to evaluate the relationship between XRCC1 polymorphisms and glioma risk.
View Article and Find Full Text PDFBackground: The aim of the present study was to investigate the usefulness of the transanal drainage tube for prevention of anastomotic leakage and bleeding after anterior resection for rectal cancer.
Methods: Between January 2007 and May 2011 a nonrandomized prospective study of patients undergoing anterior resection for rectal cancer was done. The patients were divided into the transanal drainage tube (TDT) and non-transanal drainage tube (NTDT) groups according to whether the transanal drainage tube was used in the operation.
A dynamic clonal selection immune clustering algorithm.
Annu Int Conf IEEE Eng Med Biol Soc
May 2009
Article Synopsis
- The dynamic clonal selection immune clustering algorithm is based on clonal selection immune principles and hierarchical clustering without requiring prior knowledge.
- The algorithm utilizes antibody affinity for antigen recognition and dynamically adjusts mutation rates, impacting antibody locations as evolution progresses.
- Experimental results indicate that this new algorithm achieves better clustering accuracy and overall performance compared to traditional clustering methods.