Search

Hyperlipidemia results in endothelial dysfunction, which is intimately associated with disturbed mitochondrial homeostasis, and is a real risk factor for cardiovascular diseases (CVDs). Triphenylphosphonium (TPP+)-HT, constructed by linking a mitochondrial-targeting moiety TPP+ to hydroxytyrosol (HT), enters the cell and accumulates in mitochondria and is thus an important candidate drug for preventing hyperlipidemia-induced endothelial injury. In the present study, we found that TPP-HT has a better anti-inflammatory effect than HT. In vivo, TPP-HT significantly prevented hyperlipidemia-induced adverse changes in the serological lipid panel, as well as endothelial and mitochondrial dysfunction of the thoracic aorta. Similarly, in vitro, TPP-HT exhibited similar protective effects in palmitate (PA)-induced endothelial dysfunction, particularly enhanced expression of the mitochondrial ETC complex II, recovered FoxO1 expression in PA-injured human aorta endothelial cells (HAECs) and promoted FoxO1 nuclear translocation. We further demonstrated that FoxO1 plays a pivotal role in regulating ATP production in the presence of TPP-HT by using the siFoxO1 knockdown technique. Simultaneously, TPP-HT enhanced Nrf2 nuclear translocation, consistent with the in vivo findings of immunofluorescence, and the antioxidant effect of TPP-HT was almost entirely blocked by siNrf2. Concomitantly, TPP-HT's anti-inflammatory effects in the current study were primarily mediated via the p38 MAPK/NF-κB signaling pathway in addition to the FoxO1 and Nrf2 pathways. In brief, our findings suggest that mitochondria-targeted TPP-HT prevents lipotoxicity induced endothelial dysfunction by enhancing mitochondrial function and redox balance by promoting FoxO1 and Nrf2 nuclear translocation. [ABSTRACT FROM AUTHOR]

To investigate the nucleation behavior of ammonium sulphate, commonly used as a fertilizer, during cooling crystallization, polythermal methods have been used to determine the metastable zone widths (MSZWs) of ammonium sulphate in aqueous solution from the saturation temperature at 288.15 to 317.15 K under cooling rates of 6.0 to 30.0 K per hour. MSZWs increased with the increasing cooling rate and the saturation temperature. Based on classical nucleation theory, the nucleation potential model linked the MSZWs to the critical nucleation potential and pre-exponential factor. The MSZWs from one saturation temperature or with one cooling rate were used to predict the MSZWs with other saturation temperatures or with other cooling rates, by the nucleation potential model. The estimated MSZWs were compared with the experimental values. Further, according to the characteristics of the electrolyte solution, the supersaturation term in the nucleation potential model was modified by the activity coefficient. The estimated MSZWs showed improved accuracies and a tendency to be positively correlated with both the supersaturation temperature and cooling rate, which was consistent with the experimentally measured MSZWs. [ABSTRACT FROM AUTHOR]

We have proposed a new tumor sensitization and targeting (TST) framework, named in vivo computation, in our previous investigations. The problem of TST for an early and microscopic tumor is interpreted from the computational perspective with nanorobots being the “natural” computing agents, the high-risk tissue being the search space, the tumor targeted being the global optimal solution, and the tumor-triggered biological gradient field (BGF) providing the aided knowledge for fitness evaluation of nanorobots. This natural computation process can be seen as on-the-fly path planning for nanorobot swarms with an unknown target position, which is different from the traditional path planning methods. Our previous works are focusing on the TST for a solitary lesion, where we proposed the weak priority evolution strategy (WP-ES) to adapt to the actuating mode of the homogeneous magnetic field used in the state-of-the-art nanorobotic platforms, and some in vitro validations were performed. In this paper, we focus on the problem of TST for multifocal tumors, which can be seen as a multimodal optimization problem for the “natural” computation. To overcome this issue, we propose a sequential targeting strategy (Se-TS) to complete TST for the multiple lesions with the assistance of nanorobot swarms, which are maneuvered by the external actuating and tracking devices according to the WP-ES. The Se-TS is used to modify the BGF landscape after a tumor is detected by a nanorobot swarm with the gathered BGF information around the detected tumor. Next, another nanorobot swarm will be employed to find the second tumor according to the modified BGF landscape without being misguided to the previous one. In this way, all the tumor lesions will be detected one by one. In other words, the paths of nanorobots to find the targets can be generated successively with the sequential modification of the BGF landscape. To demonstrate the effectiveness of the proposed Se-TS, we perform comprehensive simulation studies by enhancing the WP-ES based swarm intelligence algorithms using this strategy considering the realistic in-body constraints. The performance is compared against that of the “brute-force” search, which corresponds to the traditional systemic tumor targeting, and also against that of the standard swarm intelligence algorithms from the algorithmic perspective. Furthermore, some in vitro experiments are performed by using Janus microparticles as magnetic nanorobots, a two-dimensional microchannel network as the human vasculature, and a magnetic nanorobotic control system as the external actuating and tracking system. Results from the in silico simulations and in vitro experiments verify the effectiveness of the proposed Se-TS for two representative BGF landscapes. [ABSTRACT FROM AUTHOR]

15 new bromotyrosine‐derived compounds, pseudoceroximes A–E (1–5), pseudocerolides A–E (6–10), 13‐ketohemifistularin 3 (11), and ceratinines J–M (12–15), were isolated from a Pseudoceratina sp. marine sponge collected in the South China Sea. The planar structures of all compounds were established based on extensive NMR spectroscopic analyses and HRESIMS data. Their absolute configurations were assigned by a combination of modified Mosher's method, ECD calculations and a single‐crystal X‐ray diffraction experiment. Pseudoceroximes A–D (1–4) represent the first examples of the oxime‐type bromotyrosine derivatives possessing the 2‐oxazolidone ring. Pseudoceroximes A (1) and B (2) and pseudocerolide C (8) showed antibacterial activity against methicillin‐resistant Staphylococcus aureus ATCC 43300 with MIC values of 5.2–7.1 µm. Additionally, pseudoceroximes B (2) and D (4) exhibited moderate antiproliferative activity against two human glioma cell lines U87MG and U251. [ABSTRACT FROM AUTHOR]

The checkerboard is a frequently used pattern in camera calibration, an essential process to get intrinsic parameters for more accurate information from images. An automatic checkerboard detection method that can detect multiple checkerboards in a single image is proposed. It contains a corner extraction approach using self-correlation and a structure recovery solution using constraints related to adjacent corners and checkerboard block edges. The method utilizes the central symmetric feature of the checkerboard crossings as well as the spatial relationship of neighboring checkerboard corners and the grayscale distribution of their neighboring pixels. Five public datasets are used in the experiments to evaluate the method. Results show high detection rates and a short average runtime of the proposed method. In addition, the camera calibration accuracy also presents the effectiveness of the proposed detection method with reprojected pixel errors smaller than 0.5 pixels. [ABSTRACT FROM AUTHOR]

The RNA-binding protein LIN-28 was first found to control developmental timing in Caenorhabditis elegans. Later, it was found to play important roles in pluripotency, metabolism, and cancer in mammals. Here we report that a low dosage of lin-28 enhanced stress tolerance and longevity, and reduced germline stem/progenitor cell number in C. elegans. The germline LIN-28 -regulated microRNA let-7 was required for these effects by targeting akt-1/2 and decreasing their protein levels. AKT-1/2 and the downstream DAF-16 transcription factor were both required for the lifespan and germline stem cell effects of lin-28. The pathway also mediated dietary restriction induced lifespan extension and reduction in germline stem cell number. Thus, the LIN-28/let-7/AKT/DAF-16 axis we delineated here is a program that plays an important role in balancing reproduction and somatic maintenance and their response to the environmental energy level-a central dogma of the 'evolutionary optimization' of resource allocation that modulates aging. [ABSTRACT FROM AUTHOR]

Biological age (BA) has been proposed to evaluate the aging status instead of chronological age (CA). Our study shows evidence that there might be multiple "clocks" within the whole-body system: systemic aging drivers/clocks overlaid with organ/tissue-specific counterparts. We utilize multi-omics data, including clinical tests, immune repertoire, targeted metabolomic molecules, gut microbiomes, physical fitness examinations, and facial skin examinations, to estimate the BA of different organs (e.g., liver, kidney) and systems (immune and metabolic system). The aging rates of organs/systems are diverse. People's aging patterns are different. We also demonstrate several applications of organs/systems BA in two independent datasets. Mortality predictions are compared among organs' BA in the dataset of the United States National Health and Nutrition Examination Survey. Polygenic risk score of BAs constructed in the Chinese Longitudinal Healthy Longevity Survey cohort can predict the possibility of becoming centenarian. [Display omitted] • Constructing biological ages of organs/systems using multi-omics features • Organs and systems are aging at different rates • Specific biological age could predict disease of corresponding organs • Biological ages of organs and systems have diverse genetic architectures Nie et al. estimate biological ages of organs and systems using 402 multi-omics features from 4,066 individuals and demonstrate several applications. They find that organs and systems are aging at different rates, and biological ages could be utilized for population stratification, mortality prediction, and phenotypes of genetic association studies. [ABSTRACT FROM AUTHOR]

Aging is characterized by the loss of homeostasis and the general decline of physiological functions, accompanied by various degenerative diseases and increased rates of mortality. Aging targeting small molecule screens have been performed many times, however, few have focused on endogenous metabolic intermediates—metabolites. Here, using C. elegans lifespan assays, we conducted a worm metabolite screen and identified an eukaryotes conserved metabolite, myo-inositol (MI), to extend lifespan, increase mobility and reduce fat content. Genetic analysis of enzymes in MI metabolic pathway suggest that MI alleviates aging through its derivative PI(4,5)P2. MI and PI(4,5)P2 are precursors of PI(3,4,5)P3, which is negatively related to longevity. The longevity effect of MI is dependent on the tumor suppressor gene, daf-18 (homologous to mouse Pten), independent of its classical pathway downstream genes, akt or daf-16. Furthermore, we found MI effects on aging and lifespan act through mitophagy regulator PTEN induced kinase-1 (pink-1) and mitophagy. MI's anti-aging effect is also conserved in mouse, indicating a conserved mechanism in mammals. Phosphatidylinositol 3-kinase catalyzes the reaction from PI(4,5)P2 to PI(3,4,5)P3 and is encoded by the age-1 gene known to regulate lifespan. Here the researchers found that the metabolite myo-inositol, which can be converted to PI(3,4,5)P3 extends worm lifespan and alleviates worm as well as mouse health decline during aging. [ABSTRACT FROM AUTHOR]

Summary Experimental large-scale screens for drug repositioning are limited by restriction to in vitro conditions and lack of applicability to real human conditions. Here, we developed an in silico screen in human in vivo conditions using a reference of single gene mutations' non-tissue-specific "core transcriptome signatures" (CSs) of 8,476 genes generated from the TCGA database. We developed the core-signature drug-to-gene (csD2G) software to scan 3,546 drug treatment profiles against the reference signatures. csD2G significantly outperformed conventional cell line-based gene perturbation signatures and existing drug-repositioning methods in both coverage and specificity. We highlight this with 3 demonstrated applications: (1) repositioned category of psychiatric drugs to inhibit the TGF-β pathway; (2) antihypertensive calcium channel blockers predicted to activate AMPK and inhibit AKT pathways, and validated by clinical electronic medical records; and (3) 7 drugs predicted and validated to selectively target the AKT-FOXO and AMPK pathways and thus regulate worm lifespan. Graphical Abstract Highlights • Non-tissue-specific core signatures (CSs) were generated for 8,476 human genes • csD2G repositions drugs through drug-gene CS modules and specificity mapping • Calcium blockers predicted to target AKT and AMPK are validated by medical records • Seven drugs were repositioned to selectively target AKT and AMPK and extend lifespan Xu et al. generated core transcriptome signatures representing single-gene mutations for 8,476 human genes from the cancer transcriptomes in the TCGA database and developed a drug-repositioning method to predict high-specificity candidate target genes for 1,938 drugs. Applied to targeting aging pathways, 7 lifespan-extending drugs are found and functionally validated. [ABSTRACT FROM AUTHOR]