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CCL3 as a novel biomarker in the diagnosis of necrotizing enterocolitis.
BMC Pediatr
December 2024
Department of Clinical Laboratory, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, NO 136 Zhongshaner Road, Yuzhong Distrit, Chongqing, 400014, China.
Objectives: Neonatal necrotizing enterocolitis (NEC) is a common intestinal disease that threatens the lives of newborns and is characterized by ischemic necrosis of the small intestine and colon. As early diagnosis of NEC improves prognosis, the identification of new or complementary biomarkers is of great importance. In this study, we evaluate the diagnostic value of CCL3 in NEC and compare its effectiveness with other commonly used biomarkers, such as procalcitonin (PCT) and C-reactive protein (CRP).
View Article and Find Full Text PDFDevelopment and Validation of a Nomogram Based on Multiparametric MRI for Predicting Lymph Node Metastasis in Endometrial Cancer: A Retrospective Cohort Study.
Acad Radiol
December 2024
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China (Y.T., Y.W., Y.Y., X.Q., Y.H., J.L.); Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, Guangxi Zhuang Autonomous Region, PR China (J.L.). Electronic address:
Rationale And Objectives: To develop a radiomics nomogram based on clinical and magnetic resonance features to predict lymph node metastasis (LNM) in endometrial cancer (EC).
Materials And Methods: We retrospectively collected 308 patients with endometrial cancer (EC) from two centers. These patients were divided into a training set (n=155), a test set (n=67), and an external validation set (n=86).
Leveraging human microbiomes for disease prediction and treatment.
Trends Pharmacol Sci
December 2024
Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Microbiome Center, Department of Pathology, Texas Children's Hospital, Houston, TX, USA. Electronic address:
The human microbiome consists of diverse microorganisms that inhabit various body sites. As these microbes are increasingly recognized as key determinants of health, there is significant interest in leveraging individual microbiome profiles for early disease detection, prevention, and drug efficacy prediction. However, the complexity of microbiome data, coupled with conflicting study outcomes, has hindered its integration into clinical practice.
View Article and Find Full Text PDFEfficacy of corneal squamous cell carcinoma antigen-1 in early infancy in predicting atopic dermatitis and food allergy: A prospective study.
Allergol Int
December 2024
Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Background: Identification of predictive biomarkers is crucial for formulating preventive interventions and halting the progression of atopic march. Although controversial, the use of accessible markers to predict or detect early onset of atopic diseases is highly desirable. Therefore, this study aimed to investigate whether corneal squamous cell carcinoma antigen-1 (SCCA1) collected from infants can predict the development of atopic dermatitis and food allergy.
View Article and Find Full Text PDFMalnutrition Diagnosed via Global Leadership Initiative on Malnutrition (GLIM) Criteria - Association with Clinical Outcomes and Predictive Value: A Systematic Review of Systematic Reviews.
Semin Oncol Nurs
December 2024
University of Munich, Ludwig Maximilian University Clinic, Comprehensive Cancer Center (CCC Munich(LMU)), Munich, Germany.
Objectives: Malnutrition is very common in people with cancer. The Global Leadership Initiative on Malnutrition (GLIM) recommendation on criteria has been proposed as a gold standard for diagnosing malnutrition. The diagnosis of malnutrition includes phenotypic criteria such as unintentional weight loss and etiologic criteria such as reduced food intake.
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