Int J Med Sci
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Idiopathic pulmonary fibrosis (IPF) is a severe interstitial lung disease; although the recent introduction of two anti-fibrosis drugs, pirfenidone and Nidanib, have resulted in a significant reduction in lung function decline, IPF is still not curable. Approximately 2-20% of patients with IPF have a family history of the disease, which is considered the strongest risk factor for idiopathic interstitial pneumonia. However, the genetic predispositions of familial IPF (f-IPF), a particular type of IPF, remain largely unknown. ⋯ Since several genetic variants associated with the disease have been found in f-IPF, this review systematically summarizes the latest progress in the gene spectrum of the f-IPF population and the underlying mechanisms of f-IPF. The genetic susceptibility variation related to the disease phenotype is also illustrated. This review aims to improve the understanding of the IPF pathogenesis and facilitate his early detection.
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Bone and joint diseases are a group of clinically heterogeneous diseases characterized by various bone strength disorders, bone structural defects and bone mass abnormalities. Common bone diseases include osteoporosis, skeletal dysplasia, and osteosarcoma, and common joint diseases include osteoarthritis, rheumatoid arthritis, and degenerative disc disease. all of them lead to high medical costs. The miR-30 family consists of a total of 5 members: miR-30a, miR-30b, miR-30c, miR-30d and miR-30e. ⋯ For example, miR-30a is highly expressed in blood samples of osteoporosis patients, miR-30a/b increases in cartilage tissue of osteoarthritis patients, and lower expression of miR-30c is associated with higher malignance and shorter survival time of osteosarcoma. Mechanistically, by targeting crucial transcription factors (RUNX2, SOX9, beclin-1, etc.), the miR-30 family regulates some critical pathways of bone homeostasis (Wnt/β-Catenin, mTOR, PI3K/AKT, etc.). In view of the distinct actions of the miR-30 family on bone metabolism, we hypothesize that the miR-30 family may be a new remedy for the clinical treatment and prevention of some bone and joint diseases.
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Ischemic stroke (IS) is the majority of strokes which remain the second leading cause of deaths in the last two decades. Circulating microRNAs (miRNAs) have been suggested as potential diagnostic and therapeutic tools for IS by previous studies analyzing their differential expression. However, inconclusive and controversial conclusions of these results have to be addressed. ⋯ These miRNAs were evaluated in 20 IS patients, compared to 20 healthy subjects. 4 miRNAs (hsa-let-7e-5p, hsa-miR-124-3p, hsa-miR-17-5p, hsa-miR-185-5p) exhibited the significant expression level in IS patient plasma samples. Pathway and biological process enrichment analysis for the target genes of the 4 validated miRNAs identified cellular senescence and neuroinflammation as key post-IS response pathways. The results of our analyses closely correlated with the pathogenesis and implicated pathways observed in IS subjects suggested by the literature, which may provide aid in the development of circulating diagnostic or therapeutic targets for IS patients.
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Objective: Vietnam is endemic with tuberculosis (TB), which is highly prevalent in the community. TB tenosynovitis of the wrist and hand is uncommon. Because of its insidious progression and atypical presentations, it is often difficult to diagnose, leading to treatment delays. ⋯ Ultrasound is a useful tool to support the diagnosis. A histological examination confirms the diagnosis. Most cases respond and have a good outcome after 9-12 months of anti-tuberculosis treatment.
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Randomized Controlled Trial
Multiclassifier Radiomics Analysis of Ultrasound for Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma in Children.
Objective: To explore extrathyroidal extension (ETE) in children and adolescents with papillary thyroid carcinoma using a multiclassifier ultrasound radiomic model. Methods: In this study, data from 164 pediatric patients with papillary thyroid cancer (PTC) were retrospectively analyzed and patients were randomly divided into a training cohort (115) and a validation cohort (49) in a 7:3 ratio. To extract radiomics features from ultrasound images of the thyroid, areas of interest (ROIs) were delineated layer by layer along the edge of the tumor contour. ⋯ Generally, the LightGBM model performed well in both the training and validation cohorts. From the SHAP results, original_shape_MinorAxisLength,original_shape_Maximum2DDiameterColumn, and wavelet-HHH_glszm_SmallAreaLowGrayLevelEmphasis have the most significant effect on the model. Conclusions: Our combined model based on machine learning and ultrasonic radiomics demonstrate the excellent predictive ability for extrathyroidal extension (ETE) in pediatric PTC.