Medicine
-
Modern medical practice has confirmed the efficacy of Mahuang Fuzi Xixin Decoction (MHFZXXD) in treating elderly bronchial asthma, but its specific mechanisms of action remain to be clarified. Therefore, this study utilizes network pharmacology, molecular docking techniques, and molecular dynamics simulations to explore the key active components, core target genes, and potential mechanisms of MHFZXXD in the treatment of elderly bronchial asthma. Active components and related targets of MHFZXXD were identified through the retrieval and screening of the TCMSP, Swiss Targets Prediction, and Uniprot databases. ⋯ Molecular docking and dynamics simulations show that the core targets bind stably with the key active components. Overall, MHFZXXD may reduce inflammatory responses and improve hypoxic conditions and apoptosis during the progression of elderly bronchial asthma through multiple active components, targets, and signaling pathways, thereby delaying the malignant progression of the disease. This provides relevant evidence and experimental data for clinical treatment and further research.
-
Observational Study
An investigation of machine learning algorithms for prediction of temporomandibular disorders by using clinical parameters.
This study aimed to predict temporomandibular disorder (TMD) using machine learning (ML) approaches based on measurement parameters that are practically acquired in clinical settings. 125 patients with TMD and 103 individuals without TMD were included in the study. Pain intensity (with visual analog scale), maximum mouth opening (MMO) and lateral excursion movements (with millimeter ruler), cervical range of motion (with goniometer), pressure pain threshold (PPT; with algometer), oral parafunctional behaviors (with Oral Behaviors Checklist), psychological status (with Hospital Anxiety and Depression Scale), and quality of life (with Oral Health Impact Profile) were evaluated. The measurements were analyzed via over 20 ML algorithms, taking into account an extensive parameter tuning and cross-validation process. ⋯ According to this model, the 5 most important variables for predicting TMD were pain intensity, MMO, lateral excursion and PPT values of masseter and temporalis anterior muscles, respectively. The Bagging algorithm using the MARS algorithm is a robust model that, in combination with clinical parameters, assists in the detection of patients with TMD in settings with limited capabilities. The clinical parameters and ML algorithm proposed in this study may assist clinicians inexperienced in TMD to make a preliminary detection of TMD in clinics where diagnostic imaging tools are limited.
-
Myelodysplastic syndromes (MDS) are clinically heterogeneous disorders characterized by peripheral blood cytopenias, poor differentiation, clonal hematopoiesis, and increased risk of developing acute myeloid leukemia (AML). While somatic mutations do not currently feature in prognostic scoring systems, they may impact the clinical phenotype. In recent years, next-generation sequencing (NGS) has enabled the opportunity to identify an increasing number of genetic abnormalities, including recurrent modifications in the TP53, DNMT3A, NRAS, NPM1, RUNX1, and FLT3 genes. ⋯ MDS are frequently associated with somatic point mutations. According to early findings, NGS panels are extremely effective instruments that provide an entirely new viewpoint on the disease for particular individuals. Future prognostications will depend more on NGS because those who exhibit normal cytogenetics may additionally have gene mutations.
-
Preeclampsia is a complex disorder with genetic and environmental interactions. In this study, we analyzed the associations of KCNQ1gene polymorphisms with preeclampsia in Chinese pregnant women. The 3 candidate single-nucleotide polymorphisms rs231840, rs2237892, and rs2237895 were genotyped in this case-control study; clinical and biochemical data were included and SNPs were gathered from 248 individuals with preeclampsia and 237 controls. ⋯ The haplotype TCA containing the allele of rs231840 (T), rs2237892 (C), and rs2237895 (A) was highly protective against preeclampsia and associated with the levels of blood glucose in preeclamptic patients. A novel function was found for the haplotype CCA in SNPs rs231840 (C), rs2237892 (C), and rs2237895 (A); it might be a protective combination against preeclampsia. The KCNQ1 (TT) genotype seems to be associated with preeclampsia and might affect the regulation of blood glucose in Chinese pregnant women.
-
Coronary heart disease (CHD) is a global health concern, with inflammation significantly contributing to its pathogenesis. It is crucial to understand the relationship between inflammatory cytokines and CHD. This study investigates the causal correlations between circulating inflammatory cytokines and CHD using Mendelian randomization (MR), assessing both causative and resultant roles of these cytokines in CHD. ⋯ These findings suggest that CCL11, CCL20, CSF1, FGF21, FLT3LG, NT-3, and LIF may play a crucial role in the pathogenesis of CHD. Additionally, CHD may impact the expression of CD5. Additional research is needed to explore the potential of these biomarkers in the prevention and treatment of CHD.