The issue of multi-drug-resistant tuberculosis (MDR-TB) presents a substantial challenge to global public health. Regrettably, the diagnosis of drug-resistant tuberculosis (DR-TB) frequently necessitates an extended period or more extensive laboratory resources. The swift identification of MDR-TB poses a particularly challenging endeavor. To identify the biomarkers indicative of multi-drug resistance, we conducted a screening of the GSE147689 dataset for differentially expressed genes (DEGs) and subsequently conducted a gene enrichment analysis. Our analysis identified a total of 117 DEGs, concentrated in pathways related to the immune response. Three machine learning methods, namely random forest, decision tree, and support vector machine recursive feature elimination (SVM-RFE), were implemented to identify the top 10 genes according to their feature importance scores. A4GALT and S1PR1, which were identified as common genes among the three methods, were selected as potential molecular markers for distinguishing between MDR-TB and drug-susceptible tuberculosis (DS-TB). These markers were subsequently validated using the GSE147690 dataset. The findings suggested that A4GALT exhibited area under the curve (AUC) values of 0.8571 and 0.7121 in the training and test datasets, respectively, for distinguishing between MDR-TB and DS-TB. S1PR1 demonstrated AUC values of 0.8163 and 0.5404 in the training and test datasets, respectively. When A4GALT and S1PR1 were combined, the AUC values in the training and test datasets were 0.881 and 0.7551, respectively. The relationship between hub genes and 28 immune cells infiltrating MDR-TB was investigated using single sample gene enrichment analysis (ssGSEA). The findings indicated that MDR-TB samples exhibited a higher proportion of type 1 T helper cells and a lower proportion of activated dendritic cells in contrast to DS-TB samples. A negative correlation was observed between A4GALT and type 1 T helper cells, whereas a positive correlation was found with activated dendritic cells. S1PR1 exhibited a positive correlation with type 1 T helper cells and a negative correlation with activated dendritic cells. Furthermore, our study utilized connectivity map analysis to identify nine potential medications, including verapamil, for treating MDR-TB. In conclusion, our research identified two molecular indicators for the differentiation between MDR-TB and DS-TB and identified a total of nine potential medications for MDR-TB.
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Cancer Treat Rev
January 2025
Gastrointestinal Unit, Department of Medicine, Royal Marsden Hospital, London and Surrey, UK. Electronic address:
Claudins (CLDNs) play a crucial and indispensable role as fundamental components within the structure of tight junctions. Due to the distinct and unique distribution pattern exhibited by CLDNs in both normal and malignant tissues, these proteins have garnered significant attention as pivotal targets for systemic anti-cancer therapy and as noteworthy diagnostic markers. This review provides a comprehensive and detailed elucidation of the fundamental understanding surrounding CLDNs, their intricate expression patterns, the potential role they play in cancer diagnosis and therapeutic potentials; all encapsulated within a succinct summary of the cutting-edge advancements and the information derived from various clinical trials.
View Article and Find Full Text PDFJ Electromyogr Kinesiol
January 2025
Department of Rehabilitation Sciences, the Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China. Electronic address:
Electromyography (EMG) is increasingly used in stroke assessment research, with studies showing that EMG co-contraction (EMG-CC) of upper limb muscles can differentiate stroke patients from healthy individuals and correlates with clinical scales assessing motor function. This suggests that EMG-CC has potential for both assessing motor impairments and monitoring recovery in stroke patients. However, systematic reviews on EMG-CC's effectiveness in stroke assessment are lacking.
View Article and Find Full Text PDFAm J Manag Care
January 2025
McGovern Medical School at UTHealth Houston, 4513 Teas St, Bellaire, TX 77401.
Objective: To examine the effect of physiologic insulin resensitization (PIR) on the cost of treating patients with diabetes and chronic kidney disease (CKD).
Study Design: The mean 1-year cost of treating 66 Medicare Advantage patients with diabetes and CKD who were receiving PIR was compared with that of treating 1301 Medicare Advantage patients with diabetes and CKD not receiving PIR. Differences in disease severity were compared using mean risk adjustment factor scores.
Obstet Gynecol
January 2025
Vagelos College of Physicians and Surgeons, Columbia University, the Department of Obstetrics and Gynecology, Maimonides Medical Center, and the Department of Obstetrics and Gynecology and the School of Public Health, SUNY Downstate, New York, New York.
Obstet Gynecol
January 2025
Medical Practice Evaluation Center, the Division of Infectious Disease, and the Division of Maternal Fetal Medicine, Massachusetts General Hospital, Boston, Massachusetts; the Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada; and the Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York.
The purpose of this review is to serve as an update on congenital cytomegalovirus (CMV) evaluation and management for obstetrician-gynecologists and to provide a framework for counseling birthing people at risk for or diagnosed with a primary CMV infection or reactivation or reinfection during pregnancy. A DNA virus, CMV is the most common congenital viral infection and the most common cause of nongenetic childhood hearing loss in the United States. The risk of congenital CMV infection from transplacental viral transfer depends on the gestational age at the time of maternal infection and whether the infection is primary or nonprimary.
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