Activatable fluorescent probes for early diagnosis and evaluation of liver injury.

With the increase in people's living standards, the number of patients suffering from liver injury keeps on increasing. Traditional diagnostic methods can no longer meet the needs of early and accurate diagnosis due to their limitations in application. However, fluorescent probes based on different fluorophores and nanomaterials have been gradually lighting up medical research due to their unique properties, such as high specificity and non-invasiveness. In addition, accurate identification of the different types of liver injury biomarkers can significantly improve the level of early diagnosis. Therefore, this review reviews the fluorescent probes used in the detection of biomarkers of liver injury over recent years and briefly summarizes the corresponding biomarkers of different types of liver injury. Impressively, this review also lists the structures and the response mechanisms of the different probes, and concludes with an outlook, suggesting directions in which improvements can be made. Finally, we hope that this review will contribute to the further development of fluorescent probes for the early diagnosis and assessment of liver injury.

The GPIHBP1-LPL complex and its role in plasma triglyceride metabolism: Insights into chylomicronemia.

GPIHBP1 is a protein found in the endothelial cells of capillaries that is anchored by glycosylphosphatidylinositol and binds to high-density lipoproteins. GPIHBP1 attaches to lipoprotein lipase (LPL), subsequently carrying the enzyme and anchoring it to the capillary lumen. Enabling lipid metabolism is essential for the marginalization of lipoproteins alongside capillaries. Studies underscore the significance of GPIHBP1 in transporting, stabilizing, and aiding in the marginalization of LPL. The intricate interplay between GPIHBP1 and LPL has provided novel insights into chylomicronemia in recent years. Mutations hindering the formation or reducing the efficiency of the GPIHBP1-LPL complex are central to the onset of chylomicronemia. This review delves into the structural nuances of the GPIHBP1-LPL interaction, the consequences of mutations in the complex leading to chylomicronemia, and cutting-edge advancements in chylomicronemia treatment.

Fast Cross-Validation for Kernel-Based Algorithms.

Cross-validation (CV) is a widely adopted approach for selecting the optimal model. However, the computation of empirical cross-validation error (CVE) has high complexity due to multiple times of learner training. In this paper, we develop a novel approximation theory of CVE and present an approximate approach to CV based on the Bouligand influence function (BIF) for kernel-based algorithms. We first represent the BIF and higher order BIFs in Taylor expansions, and approximate CV via the Taylor expansions. We then derive an upper bound of the discrepancy between the original and approximate CV. Furthermore, we provide a novel computing method to calculate the BIF for general distribution, and evaluate BIF criterion for sample distribution to approximate CV. The proposed approximate CV requires training on the full data set only once and is suitable for a wide variety of kernel-based algorithms. Experimental results demonstrate that the proposed approximate CV is sound and effective.

Long non-coding RNA MALAT1 sponges miR-149 to promote inflammatory responses of LPS-induced acute lung injury by targeting MyD88.

Acute lung injury (ALI) caused by sepsis occurs early and the condition is severe, and is also an important reason for accelerating the death of patients. Increasing evidence has identified long non-coding RNA (lncRNA) metastasis associated in lung adenocarcinoma transcript 1 (MALAT1) as a regulator of ALI. However, the potential mechanism underlying MALAT1 on ALI still needs further identification. To explore the mechanisms of gene regulation expression mediated by MALAT1 through miR-149/MyD88 in lung injury inflammation, we constructed a lung injury inflammatory model using the lipopolysaccharides (LPS)-induced method and quantificated the cytokines and signaling cascade molecules as well as miR-149. The MALAT1, myeloid differentiation factor 88 (MyD88), tumor necrosis factor-α (TNF-α), interleukin-1ß (IL-1ß), and IL-6 levels were significantly increased, and the nuclear factor-κB (NF-κB) pathway was activated, but the miR-149 level was decreased in the LPS-induced ALI model. miR-149 directly targeted both lncRNA MALAT1 and the MyD88 gene. Knockdown of MALAT1 down-regulated the levels of MyD88, TNF-α, IL-1ß, and IL-6, and inhibited the NF-κB pathway. However, MALAT1 knockdown up-regulated the expression of miR-149. Overexpression of miR-149 down-regulated MyD88, TNF-α, IL-1ß, and IL-6 levels, and inhibited the NF-κB pathway. MALAT1 acts as a pro-inflammatory factor in ALI via the miR-149/MyD88/NF-κB axis and is therefore a potential novel therapeutic target for ALI treatment.

[Diagnostic value of different detection methods for Mycobacterium tuberculosis in bronchoalveolar lavage fluid from pulmonary tuberculosis patients].

OBJECTIVE: To investigate the diagnostic value of different detection methods for Mycobacterium tuberculosis in bronchoalveolar lavage fluid (BALF) from patients with pulmonary tuberculosis.
 Methods: BALF from100 patients in Changsha Central Hospital from January 2013 to December 2015 was collected. Among 100 patients, 65 cases were clinically diagnosed as tuberculosis, and 35 cases served as control. BALF smear method, polymerase chain reaction (PCR) and membrane reverse dot blot (RDB) were used for synchronous detection of Mycobacterium tuberculosis.
 Results: The positive rates by BALF smear method, PCR and RDB were 43.08%, 73.84% and 92.31%, respectively (P<0.05). Sensitivity, specificity, accuracy, and negative predictive value for BALF smear were 43.08%, 88.57%, 59.00%, and 45.59%, respectively; for PCR were 73.85%, 100%, 83.00%, and 67.31%, respectively; for RDB were 92.31%, 100.00%, 95.00%, and 87.50%, respectively.
 Conclusion: The technique of membrane RDB can not only accurately diagnose Mycobacterium tuberculosis, but also can rapidly and easily identify the resistance of Mycobacterium tuberculosis to streptomycin (SM), rifampicin (RFP) and isoniazid (INH) genotypes. It possesses high clinical value.