A unique FGF23 with the ability to activate FGFR signaling through both αKlotho and βKlotho

Three fibroblast growth factor (FGF) molecules, FGF19, FGF21, and FGF23, form a unique subfamily that functions as endocrine hormones. FGF19 and FGF21 can regulate glucose, lipid, and energy metabolism, while FGF23 regulates phosphate homeostasis. The FGF receptors and co-receptors for these three FGF molecules have been identified, and domains important for receptor interaction and specificity determination are beginning to be elucidated. However, a number of questions remain unanswered, such as the identification of fibroblast growth factor receptor responsible for glucose regulation. Here, we have generated a variant of FGF23: FGF23-21c, where the C-terminal domain of FGF23 was replaced with the corresponding regions from FGF21. FGF23-21c showed a number of interesting and unexpected properties in vitro. In contrast to wild-type FGF23, FGF23-21c gained the ability to activate FGFR1c and FGFR2c in the presence of βKlotho and was able to stimulate glucose uptake into adipocytes in vitro and lower glucose levels in ob/ob diabetic mice model to similar extent as FGF21 in vivo. These results suggest that βKlotho/FGFR1c or FGFR2c receptor complexes are sufficient for glucose regulation. Interestingly, without the FGF23 C-terminal domain, FGF23-21c was still able to activate fibroblast growth factor receptors in the presence of αKlotho. This suggests not only that sequences outside of the C-terminal region may also contribute to the interaction with co-receptors but also that FGF23-21c may be able to regulate both glucose and phosphate metabolisms. This raises an interesting concept of designing an FGF molecule that may be able to address multiple diseases simultaneously. Further understanding of FGF/receptor interactions may allow the development of exciting opportunities for novel therapeutic discovery.     

An apoA-I mimetic peptibody generates HDL-like particles and increases alpha-1 HDL subfraction in mice

The aim of this study is to investigate the capability of an apoA-I mimetic with multiple amphipathic helices to form HDL-like particles in vitro and in vivo. To generate multivalent helices and to track the peptide mimetic, we have constructed a peptibody by fusing two tandem repeats of 4F peptide to the C terminus of a murine IgG Fc fragment. The resultant peptidbody, mFc-2X4F, dose-dependently promoted cholesterol efflux in vitro, and the efflux potency was superior to monomeric 4F peptide. Like apoA-I, mFc-2X4F stabilized ABCA1 in J774A.1 and THP1 cells. The peptibody formed larger HDL particles when incubated with cultured cells compared with those by apoA-I. Interestingly, when administered to mice, mFc-2X4F increased both pre-β and α-1 HDL subfractions. The lipid-bound mFc-2X4F was mostly in the α-1 migrating subfraction. Most importantly, mFc-2X4F and apoA-I were found to coexist in the same HDL particles formed in vivo. These data suggest that the apoA-I mimetic peptibody is capable of mimicking apoA-I to generate HDL particles. The peptibody and apoA-I may work cooperatively to generate larger HDL particles in vivo, either at the cholesterol efflux stage and/or via fusion of HDL particles that were generated by the peptibody and apoA-I individually.     

Generation and characterization of two novel mouse models exhibiting the phenotypes of the metabolic syndrome: Apob48-/-Lepob/ob mice devoid of ApoE or Ldlr

The metabolic syndrome is a group of disorders including obesity, insulin resistance, atherogenic dyslipidemia, hyperglycemia, and hypertension. To date, few animal models have been described to recapitulate the phenotypes of the syndrome. In this study, we generated and characterized two lines of triple-knockout mice that are deficient in either apolipoprotein E (Apoe(-/-)) or low-density lipoprotein receptor (Ldlr(-/-)) and express no leptin (Lep(ob/ob)) or apolipoprotein B-48 but exclusively apolipoprotein B-100 (Apob(100/100)). These two lines are referred to as Apoe triple-knockout-Apoe 3KO (Apoe(-/-)Apob(100/100)Lep(ob/ob)) and Ldlr triple-knockout-Ldlr 3KO (Ldlr(-/-)Apob(100/100)Lep(ob/ob)) mice. Both lines develop obesity, hyperinsulinemia, hyperlipidemia, hypertension, and atherosclerosis. However, only Apoe 3KO mice are hyperglycemic and glucose intolerant and are more obese than Ldlr 3KO mice. To evaluate the utility of these lines as pharmacological models, we treated both with leptin and found that leptin therapy ameliorated most metabolic derangements. Leptin was more effective in improving glucose tolerance in Ldlr 3KO than Apoe 3KO animals. The reduction of plasma cholesterol by leptin in Ldlr 3KO mice can be accounted for by its suppressive effect on food intake. However, in Apoe 3KO mice, leptin further reduced plasma cholesterol independently of its effect on food intake, and this improvement correlated with a smaller plaque lesion area. These effects suggest a direct role of leptin in modulating VLDL levels and, likewise, the lesion areas in VLDL-enriched animals. These two lines of mice represent new models with features of the metabolic syndrome and will be useful in testing therapies targeted for combating the human condition.     

An optimized fast-performance liquid chromatography method for analyzing lipoprotein profiles using microliter volumes of serum

Plasma or serum lipoprotein analysis is commonly carried out with a conventional size-exclusion fast-performance liquid chromatography method that requires large sample volumes (1-2 ml). To determine lipoprotein profiles of mice with this method, plasma or serum samples have to be pooled from a group of animals, which often requires sacrificing animals. Here we report an optimized anion-exchange chromatography method with simplified cholesterol collection and detection system. After 5-10 μl serum was injected for anion-exchange chromatography, a stepwise gradient was applied and fractions were collected on a 96-well plate. Cholesterol content in each well was measured using a fluorescence-based detection method. With this method, distinct lipoprotein peaks corresponding to high-density lipoprotein, low-density lipoprotein, and very-low-density lipoprotein, can be easily separated and identified with excellent resolution. The entire high-performance liquid chromatography run takes about 30 min and the results are reproducible with a low variability. The small sample size allows analyzing the lipoprotein profile in a given mouse at a given time point with nonterminal bleeding. The method is simple to set up with commercially available parts and convenient to run.     

Long-term effects of multi-walled carbon nanotubes on the performance and microbial community structures of an anaerobic granular sludge system

Multi-walled carbon nanotubes (MWCNTs) released into the sewage may cause negative and/or positive effects on the treatment system. The objective of this study was to explore over 110 days’ effect of MWCNTs on the performance of anaerobic granular sludge and microbial community structures in an upflow anaerobic sludge blanket (UASB) reactor. The results showed that MWCNTs had no significant effect on the removal of chemical oxidation demand (COD) and ammonia in UASB reactor, but the total phosphorus (TP) removal efficiency increased by 29.34%. The biogas production of the reactor did not change. The anaerobic granular sludge tended to excrete more EPS to resist the effects of MWCNTs during the long-term impact. Illumina MiSeq sequencing of 16S rRNA gene revealed that MWCNTs did not affect the microbial diversity, but altered the composition and structure of microbial community in the reactor. In this process, Saccharibacteria replaced Proteobacteria as the highest abundant bacterial phylum. MWCNTs promoted the differentiation of methanogen structure, resulting in increase of Methanomassiliicoccus, Methanoculleus, and the uncultured WCHA1–57. These results indicated that MWCNTs impacted the performance of UASB reactor and the structures of the microbial community in anaerobic granular sludge.

     

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms

Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield, thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models use multi-source data from unmanned aerial vehicles (UAVs), but using multimodal data to estimate maize LAI, and the effect of tassels and soil background, remain understudied. Our research aims to (1) determine how multimodal data contribute to LAI and propose a framework for estimating LAI based on remote-sensing data, (2) evaluate the robustness and adaptability of an LAI estimation model that uses multimodal data fusion and deep neural networks (DNNs) in single- and whole growth stages, and (3) explore how soil background and maize tasseling affect LAI estimation. To construct multimodal datasets, our UAV collected red–green–blue, multispectral, and thermal infrared images. We then developed partial least square regression (PLSR), support vector regression, and random forest regression models to estimate LAI. We also developed a deep learning model with three hidden layers. This multimodal data structure accurately estimated maize LAI. The DNN model provided the best estimate (coefficient of determination [R²] = 0.89, relative root mean square error [rRMSE] = 12.92%) for a single growth period, and the PLSR model provided the best estimate (R² = 0.70, rRMSE = 12.78%) for a whole growth period. Tassels reduced the accuracy of LAI estimation, but the soil background provided additional image feature information, improving accuracy. These results indicate that multimodal data fusion using low-cost UAVs and DNNs can accurately and reliably estimate LAI for crops, which is valuable for high-throughput phenotyping and high-spatial precision farmland management.

Multimodal data fusion (red–green–blue, multispectral, and thermal infrared) using low-cost unmanned aerial vehicles in a deep neural network and machine learning framework estimates maize leaf area index     

Preparation of biodiesel from waste oils catalyzed by a Brønsted acidic ionic liquid

Preparation of biodiesel from waste oils catalyzed by a novel Brønsted acidic ionic liquid with an alkane sulfonic acid group was investigated. The acidity and the activity of the ionic liquid were very low at lower temperature when the ionic liquid was crystalloid; they recovered at higher temperature when the crystallized ionic liquid was liquefied. When methanol:oils:catalyst molar ratios were 12:1:0.06, the yield of fatty acid methyl esters can reach 93.5% after the reaction of acidic oil with methanol had taken place at 170 °C for 4 h. In addition, the ionic liquid had a good reusability and can be easily separated from the biodiesel by simple decantation.     

Abundance and diversity of aerobic anoxygenic phototrophic bacteria in saline lakes on the Tibetan plateau

Aerobic anoxygenic phototrophic (AAP) bacteria are heterotrophic prokaryotes that are capable of utilizing light as an energy source but are not capable of producing molecular oxygen. Recently, multiple studies have found that AAP bacteria are widely distributed in oceans and estuaries and may play an important role in carbon cycling. However, AAP bacteria in inland lake ecosystems have not been investigated in depth. In this study, the abundance and diversity of the pufL-M genes, encoding photosynthetic reaction centers of AAP bacteria, were determined in the oxic water column and anoxic sediments of saline lakes (Qinghai, Erhai, and Gahai Lakes) on the Tibetan Plateau, China. Our results indicated that AAP bacteria were abundant in inland lakes, with the proportion of AAP bacteria (in total bacteria) comparable to those in the oceans, but with a lower diversity. Salinity and pH were found to be potential factors controlling the AAP bacterial diversity and community composition. Our data have implications for a better understanding of the potential role of AAP bacteria in carbon cycling in inland lake ecosystems.     

Dual actions of fibroblast growth factor 19 on lipid metabolism

Elevated triglyceride (TG) and cholesterol levels are risk factors for cardiovascular disease and are often associated with diabetes and metabolic syndrome. Recent reports suggest that fibroblast growth factor (FGF)19 and FGF21 can dramatically improve metabolic dysfunction, including hyperglycemia, hypertriglyceridemia, and hypercholesterolemia. Due to their similar receptor specificities and co-receptor requirements, FGF19 and FGF21 share many common properties and have been thought to be interchangeable in metabolic regulation. Here we directly compared how pharmacological administration of recombinant FGF19 or FGF21 proteins affect metabolism in B6.V-Lep^ob/J leptin-deficient mice. FGF19 and FGF21 equally improved glucose parameters; however, we observed increased serum TG and cholesterol levels after treatment with FGF19 but not with FGF21. Increases in serum TGs were also observed after a 4-day treatment with FGF19 in C57BL6/J mice on a high-fat diet. This is in contrast to many literature reports that showed significant improvements in hyperlipidemia after chronic treatment with FGF19 or FGF21 in high-fat diet models. We propose that FGF19 has lipid-raising and lipid-lowering actions mediated through different FGF receptors and target tissues, and the results described here provide a potential mechanism that may explain the inconsistency in the reported effects of FGF19 on lipid metabolism.