Association between plasma circulating tumor DNA and the prognosis of esophageal cancer patients: a meta-analysis.

BACKGROUND: The application of liquid biopsy analysis utilizing circulating tumor DNA (ctDNA) has gained prominence as a biomarker in specific cancer types. Nevertheless, the correlation between ctDNA and the prognostic outcomes of patients with esophageal cancer (EC) remains a subject of controversy. This meta-analysis aims to assess the correlation between ctDNA and the prognosis of EC patients. METHODS: We systematically explored Embase, PubMed, and the Cochrane Database to identify studies reporting on the prognostic value of ctDNA in EC patients before November 2023. The primary outcome involved the determine of associations between ctDNA with overall survival (OS), disease-free survival (DFS)/recurrence-free survival (RFS), as well asprogression-free survival (PFS) among EC patients. Secondary outcomes encompassed a detailed subgroup analysis in the setting of EC, including parameters such as detection time, histological subtypes, treatment modalities, regions, anatomic locations, and detection methods. Publication bias was assessed utilizing Begg's test, Egger's test, and funnel plots. A sensitivity analysis was conducted by systematically excluding individual studies to evaluate the stability of the results. RESULTS: A total of 1203 studies were initially screened, from which 13 studies underwent further analysis, encompassing 604 patients diagnosed with EC. The comprehensive pooled analysis indicated a significant association between the detection of ctDNA and poor OS (HR: 3.65; 95% CI: 1.97-6.75, P<0.001), DFS/RFS (HR: 6.08; 95% CI: 1.21-30.50, P<0.001), and PFS (HR: 2.84; 95% CI: 1.94-4.16, P<0.001). Subgroup analysis showed that ctDNA remained a consistent negative predictor of OS when stratified by different detection time, histological subtypes, regions, anatomic locations, and detection methods. Furthermore, subgroup analysis stratified by regions and study types demonstrated an association between ctDNA detection and poor PFS in EC patients. CONCLUSION: Our results indicate plasma ctDNA may serve as robust prognostic markers for OS, DFS/RFS, and PFS among EC patients. This finding suggests that plasma ctDNA could offer a highly effective approach for risk stratification and personalized medicine.

Matched Redox Kinetics on Triazine-Based Carbon Nitride/Ni(OH)2 for Stoichiometric Overall Photocatalytic CO2 Conversion.

Mismatched reaction kinetics of CO2 reduction and H2 O oxidation is the main obstacle limiting the overall photocatalytic CO2 conversion. Here, a molten salt strategy is used to construct tubular triazine-based carbon nitride (TCN) with more adsorption sites and stronger activation capability. Ni(OH)2 nanosheets are then grown over the TCN to trigger a proton-coupled electron transfer for a stoichiometric overall photocatalytic CO2 conversion via "3CO2 + 2H2 O = CH4 + 2CO + 3O2 ." TCN reduces the energy barrier of H2 O dissociation to promote H2 O oxidation to O2 and supply sufficient protons to Ni(OH)2 , whereby the CO2 conversion is accelerated due to the enhanced proton-coupled electron transfer process enabled by the sufficient proton supply from TCN. This work highlights the importance of matching the reaction kinetics of CO2 reduction and H2 O oxidation by proton-coupled electron transfer on stoichiometric overall photocatalytic CO2 conversion.

Dexmedetomidine promotes the functional recovery of mice after acute ischemic stroke via activation of the α2-adrenoceptor.

Ischemic stroke (IS) is a well-known acute cerebrovascular disease characterized by high disability, morbidity, and recurrence rates with no effective treatments. Dexmedetomidine (DEX), a selective a2-adrenoceptor agonist used in anaesthesiology and pain management, has been found to exhibit neuroprotective effects in various diseases. However, its role in IS and the underlying mechanisms remains to be determined. Hence, the aim of the present study was to investigate the neuroprotective role of DEX in the recovery of mice following middle cerebral artery occlusion (MCAO). Mice were used to establish the animal model, and then DEX was injected. Behavioural tests (neurological function assessments, grip test, and rotarod test), brain water content measurement, ELISA, and measurement of oxidative stress were performed. DEX activated a2-adrenoceptor and resulted in reduced brain injury, as indicated by the decreased brain water content, S100 Calcium Binding Protein B (S100B) content, and neuron-specific enolase (NSE) content, whilst also inhibiting oxidative stress, as indicated by the increased total antioxidant capacity, catalase, glutathione, and superoxide dismutase levels, and decreased malondialdehyde and glutathione oxidized levels. Neuroinflammation was also reduced as indicated by the decrease in IFN-g, IL-1a, IL-1b, IL-6, TNF-a, and MMP levels, improved the recovery of neurological function, as indicated by the decreased neurological function score and mNSS, and increased grip strength and rotarod performance in MCAO mice. These combined results suggest that DEX may be a novel strategy for the treatment of IS.

Parathyroid hormone-related protein as a potential prostate cancer biomarker: Promoting prostate cancer progression through upregulation of c-Met expression.

Parathyroid hormone-related protein (PTHrP) plays a significant role in various tumor types, including prostate cancer. However, its specific role and underlying mechanisms in prostate cancer remain unclear. This study investigates the role of PTHrP and its interaction with the c-Met in prostate cancer. PTHrP was overexpressed and knocked down in prostate cancer cell lines to determine its effect on cell functions. Xenograft tumor models were employed to assess the impact of PTHrP overexpression on tumor growth. To delve into the interaction between PTHrP and c-Met, rescue experiments were conducted. Clinical data and tissue samples from prostate cancer patients were gathered and analyzed for PTHrP and c-Met expression. PTHrP overexpression in prostate cancer cells upregulates c-Met expression and augments cell functions. In contrast, PTHrP-knockdown diminishes c-Met expression and inhibits cell functions. In vivo experiments further demonstrated that PTHrP overexpression promoted tumor growth in xenograft models.Moreover, modulating c-Met expression in rescue experiments led to concurrent alterations in prostate cancer cell functions. Immunohistochemical analysis of clinical samples displayed a significant positive correlation between PTHrP and c-Met expression. Additionally, PTHrP expression correlated with clinical parameters like prostate-specific antigen (PSA) levels, tumor stage, lymph node involvement, distant metastasis, and Gleason score. PTHrP plays a crucial role in prostate cancer progression by upregulating c-Met expression. These insights point to PTHrP as a promising potential biomarker for prostate cancer.

Innovative Use of Waste PET-Derived Additive to Enhance Application Potentials of Recycled Concrete Aggregates in Asphalt Rubber.

Polyethylene terephthalate (PET) drinking bottles, rubber tires, and concrete are the very common municipal solid wastes, which are usually disposed of at landfills and stockpiles and cause continuous damage to the environment. Some studies have indicated that waste PET can be chemically converted into an additive for improving the overall properties of asphalt pavement incorporating natural aggregates, especially the moisture-induced damage resistance. However, it is not clear whether this PET additive still works for asphalt rubber containing recycled concrete aggregates (RCA). To well reveal this issue, this study first adopted a similar way to chemically recycle waste PET into the additive for modifying crumb rubber modified asphalt (CRMA) binder and then mixed the binder with the 13 mm maximum aggregate stone matrix asphalt containing 100% coarse RCA for preparing the mixtures. After a series of physicochemical characterizations of the PET additive, the moisture resistance, rutting resistance, low-temperature cracking resistance, and fatigue resistance of the mixture were systematically evaluated. The results showed that the PET additive is capable of improving the resistance to moisture and high-temperature deformation of asphalt rubber and helps greatly reduce the moisture-induced damage to the interfacial bonding layer. To be more detailed, the residual Marshall stability (RMS) value of RCA-CRMAM/1PET after 72 h of immersion is higher than 85% by contrast to that of RCA-CRMAM (77.1%), while the tensile strength ratio (TSR) value of RCA-CRMAM/1PET shows more than 80% compared to that of 65.2%. In addition, only 1% PET additive can enhance the high-temperature resistance of asphalt rubber containing RCA to rut and allow it to maintain higher resistance to rut after moisture-induced damage. 1% PET additive can help improve the bearing capacity of RCA-CRMAM under a low-temperature environment and delay its fatigue life at small stresses. Generally, with the successful introduction of PET additives to asphalt rubber containing RCA, more durable and sustainable highway pavement can be produced and applied in practice to alleviate the negative impacts caused by waste PET, waste tire rubber, and waste concrete.

Versatile Synthesis of Hollow-Structured Mesoporous Carbons by Enhanced Surface Interaction for High-Performance Lithium-Ion Batteries.

Nanoporous carbons are very attractive for various applications including energy storage. Templating methods with assembled amphiphilic molecules or porous inorganic templates are typically used for the synthesis. Amongst the different members of this family, CMK-5-like structures that are constructed to consist of sub-10 nm amorphous carbon nanotubes and ultrahigh specific surface area due to their thin pore walls, have the best properties in various respects. However, the fabrication of such hollow-structured mesoporous carbons entails elaborately tailoring the surface properties of the template pore walls and selecting specific carbon precursors. Thus, very limited cases are successful. Herein, a versatile and general silanol-assisted surface-casting method to create hollow-structured mesoporous carbons and heteroatom-doped derivatives with numerous organic molecules (e.g., furfuryl alcohol, resol, 2-thiophene methanol, dopamine, tyrosine) and different structural templates is reported. These carbon materials exhibit ultrahigh surface area (2400 m2  g-1 ), large pore volume (4.0 cm3  g-1 ), as well as satisfactory lithium-storage capacity (1460 mAh g-1 at 0.1 A g-1 ), excellent rate capability (320 mAh g-1 at 5 A g-1 ), and very outstanding cycling performance (2000 cycles at 5 A g-1 ).

Pure and Metal-confining Carbon Nanotubes through Electrochemical Reduction of Carbon Dioxide in Ca-based Molten Salts.

To be successfully implemented, an efficient conversion, affordable operation and high values of CO2 -derived products by electrochemical conversion of CO2 are yet to be addressed. Inspired by the natural CaO-CaCO3 cycle, we herein introduce CaO into electrolysis of SnO2 in affordable molten CaCl2 -NaCl to establish an in situ capture and conversion of CO2 . In situ capture of anodic CO2 from graphite anode by the added CaO generates CaCO3 . The consequent co-electrolysis of SnO2 and CaCO3 confines Sn in carbon nanotube (Sn@CNT) in cathode and increases current efficiency of O2 evolution in graphite anode to 71.9 %. The intermediated CaC2 is verified as the nuclei to direct a self-template generation of CNT, ensuring a CO2 -CNT current efficiency and energy efficiency of 85.1 % and 44.8 %, respectively. The Sn@CNT integrates confined responses of Sn cores to external electrochemical or thermal stimuli with robust CNT sheaths, resulting in excellent Li storage performance and intriguing application as nanothermometer. The versatility of the molten salt electrolysis of CO2 in Ca-based molten salts for template-free generation of advanced carbon materials is evidenced by the successful generation of pure CNT, Zn@CNT and Fe@CNT.

Systematic review and meta-analysis of completely retroperitoneoscopic nephroureterectomy versus traditional retroperitoneoscopic nephroureterectomy in upper tract urothelial carcinoma.

BACKGROUND: This systematic review and meta-analysis aim to evaluate the efficacy and safety of completely retroperitoneoscopic nephroureterectomy (CRNU) for the treatment of upper urinary tract urothelial carcinoma (UTUC). METHODS: A systematic review of PubMed and Web of Science databases was conducted to identify trials comparing the outcomes of CRNU and other surgical procedures. A total of 6 case-control studies were selected for analysis. The efficacy and safety of CRNU were evaluated using mean difference or hazard ratio (HR) with 95% CIs, employing continuous or dichotomous method with a random or fixed-effect model. Meta-analysis was performed using STATA 11.0 software. RESULTS: The meta-analysis indicated that CRNU in subjects with UTUC was significantly associated with a shorter operation time (standardized mean difference, -1.36; 95% CI, -1.61 to -1.11, P < .001) and lower blood loss (standardized mean difference, -0.54; 95% CI, -0.77 to -0.31, P < .001) when compared to traditionally retroperitoneoscopic nephroureterectomy (TRNU). No significant difference was observed in the occurrence of grade I & II complications (HR, 1.04; 95% CI, 0.49-2.2, P = .915) and total complications (HR, 0.69; 95% CI, 0.38-1.27, P = .238) between CRNU and TRNU. CONCLUSION: The findings suggest that CRNU is an advanced surgical technique that is safe and effective for the treatment of UTUC. We recommend that CRNU be further employed for patients with UTUC. Further randomized, multicenter trials are needed to validate these results, given the limitations of this study.

Efficient thin-film perovskite solar cells from a two-step sintering of nanocrystals.

Creating semiconductor thin films from sintering of colloidal nanocrystals (NCs) represents a very important technology for high throughput and low cost thin-film photovoltaics. Here we report the creation of all-inorganic cesium lead bromide (CsPbBr3) polycrystalline films with grain size exceeding 1 µm from the bottom up by sintering of CsPbBr3 NCs terminated with short and low-boiling-point alky ligands that are ideal for use in sintered photovoltaics. The grain growth behavior during the sintering process was carefully investigated and correlated to the solar cell performance. To achieve precise control over the microstructural development we propose a facile two-step sintering process involving the grain growth via coarsening at a relative low temperature followed by densification at a high temperature. Compared with the one-step sintering, the two-step process yields a more uniform CsPbBr3 bulk film with larger grain size, higher density and lower trap density. Consequently, the photovoltaic device based on the two-step sintering process demonstrates a significant enhancement of efficiency with reduced hysteresis that approaches the best reported CsPbBr3 solar cells using a similar configuration. Our study specifies a rarely addressed perspective concerning the sintering mechanism of perovskite NCs and should contribute to the development of high-performance bulk perovskite devices based on the building blocks of perovskite NCs.

Overall Carbon-neutral Electrochemical Reduction of CO2 in Molten Salts using a Liquid Metal Sn Cathode.

An overall carbon-neutral CO2 electroreduction requires enhanced conversion efficiency and intensified functionality of CO2 -derived products to balance the carbon footprint from CO2 electroreduction against fixed CO2 . A liquid Sn cathode is herein introduced into electrochemical reduction of CO2 in molten salts to fabricate core-shell Sn-C spheres (Sn@C). An in situ generated Li2 SnO3 /C directs a self-template formation of Sn@C. Benefitting from the accelerated reaction kinetics from the liquid Sn cathode and the core-shell structure of Sn@C, a CO2 -fixation current efficiency higher than 84 % and a high reversible lithium-storage capacity of Sn@C are achieved. The versatility of this strategy is demonstrated by other low melting point metals, such as Zn and Bi. This process integrates energy-efficient CO2 conversion and template-free fabrication of value-added metal-carbon, achieving an overall carbon-neutral electrochemical reduction of CO2 .

Development and validation of quantitative optical index of skin blood content.

SIGNIFICANCE: We present an approach to estimate with simple instrumentation the amount of red blood cells in the skin microvasculature, designated as parameter LRBC. Variations of parameter LRBC are shown to reflect local changes in the quantity of skin red blood cells during a venous occlusion challenge. AIM: To validate a simple algebraic model of light transport in skin using the Monte Carlo method and to develop a measure of the red blood cell content in skin microvessels using the Monte Carlo predictions; to guide the development of an instrument to measure experimentally variations of the amount of red blood cells in the skin. APPROACH: Monte Carlo simulations were carried out in a multilayer model of the skin to compute remitted light intensities as a function of distance from the illumination locus for different values of the skin blood content. The simulation results were used to compute parameter LRBC and its variations with local skin blood content. An experimental setup was developed to measure parameter LRBC in human volunteers in whom skin blood content of the forearm increased during temporary interruption of the venous outflow. RESULTS: In the simulations, parameter LRBC was ∼16 µm in baseline conditions, and it increased in near proportion with the blood content of the skin layers. Measuring the diffusely reflected light intensity 0.5 to 1.2 mm away from the illumination locus was optimal to detect appreciable changes of the reflected light intensity as skin blood content was altered. Parameter LRBC measured experimentally on the human forearm was 17 ± 2 µm in baseline conditions it increased at a rate of 4 ± 2 µm / min when venous outflow was temporarily interrupted. CONCLUSION: Parameter LRBC derived experimentally with a two-wavelength diffuse reflectometer can be used to measure local variations of the amount of red blood cells in skin microvessels.

An investigation into the effects of soil and fastener-freezing on ground vibrations induced by high-speed train in frozen regions.

With the expansion of high-speed railway network in the world, it is inevitable for railways to pass through seasonal frozen regions. Since in a seasonal frozen region the ground can have significantly different mechanical properties between the freezing season and the warm season, train-induced ground vibration is also season-dependent but it has not received enough attention up to now. This paper gives an investigation into the effects of soil and fastener-freezing on ground vibrations induced by high-speed train in frozen regions. Based on the well-established relationships between soil mechanical properties and freezing temperature, a frozen ground is shown to be still represented by a layered ground and therefore, previously developed models for predicting ground vibration generated by a train running along a track resting on a layered ground can be readily applied. The effects of low temperature on the dynamical properties of fasteners are also considered. Results show that, due to the increased Young's modulus at freezing condition, the vibration level of a frozen ground near the track is lower than that of the non-frozen counterpart. However, well away from the track, the vibration level of the frozen ground is much stronger than that of the non-frozen one, mainly due to the much-reduced loss factor of the frozen ground, which results in slower attenuation of vibration with propagating distance. Results also show that, the difference in ground vibration between a frozen ground and its non-frozen counterpart is mainly caused by freezing of the ground. The emphasis of this study lies in making clear the characteristics of train-induced ground vibration in frozen regions and the differences between frozen and non-frozen regions, providing some new fundamental insights about this practical problem, which have significant engineering guidance and application value.

Objective Nontechnical Skills Measurement Using Sensor-based Behavior Metrics in Surgical Teams.

OBJECTIVE: The purpose of this study was to identify objective measures that predict surgeon nontechnical skills (NTS) during surgery. BACKGROUND: NTS are cognitive and social skills that impact operative performance and patient outcomes. Current methods for NTS assessment in surgery rely on observation-based tools to rate intraoperative behavior. These tools are resource intensive (e.g., time for observation or manual labeling) to perform; therefore, more efficient approaches are needed. METHOD: Thirty-four robotic-assisted surgeries were observed. Proximity sensors were placed on the surgical team and voice recorders were placed on the surgeon. Surgeon NTS was assessed by trained observers using the NonTechnical Skills for Surgeons (NOTSS) tool. NTS behavior metrics from the sensors included communication, speech, and proximity features. The metrics were used to develop mixed effect models to predict NOTSS score and in machine learning classifiers to distinguish between exemplar NTS scores (highest NOTSS score) and non-exemplar scores. RESULTS: NTS metrics were collected from 16 nurses, 12 assistants, 11 anesthesiologists, and four surgeons. Nineteen behavior features and overall NOTSS score were significantly correlated (12 communication features, two speech features, five proximity features). The random forest classifier achieved the highest accuracy of 70% (80% F1 score) to predict exemplar NTS score. CONCLUSION: Sensor-based measures of communication, speech, and proximity can potentially predict NOTSS scores of surgeons during robotic-assisted surgery. These sensing-based approaches can be utilized for further reducing resource costs of NTS and team performance assessment in surgical environments. APPLICATION: Sensor-based assessment of operative teams' behaviors can lead to objective, real-time NTS measurement.

RNA Sequencing Analysis Reveals Divergent Adaptive Response to Hypo- and Hyper-Salinity in Greater Amberjack (Seriola dumerili) Juveniles.

Salinity significantly affects physiological and metabolic activities, breeding, development, survival, and growth of marine fish. The greater amberjack (Seriola dumerili) is a fast-growing species that has immensely contributed to global aquaculture diversification. However, the tolerance, adaptation, and molecular responses of greater amberjack to salinity are unclear. This study reared greater amberjack juveniles under different salinity stresses (40, 30, 20, and 10 ppt) for 30 days to assess their tolerance, adaptation, and molecular responses to salinity. RNA sequencing analysis of gill tissue was used to identify genes and biological processes involved in greater amberjack response to salinity stress at 40, 30, and 20 ppt. Eighteen differentially expressed genes (DEGs) (nine upregulated and nine downregulated) were identified in the 40 vs. 30 ppt group. Moreover, 417 DEGs (205 up-regulated and 212 down-regulated) were identified in the 20 vs. 30 ppt group. qPCR and transcriptomic analysis indicated that salinity stress affected the expression of genes involved in steroid biosynthesis (ebp, sqle, lss, dhcr7, dhcr24, and cyp51a1), lipid metabolism (msmo1, nsdhl, ogdh, and edar), ion transporters (slc25a48, slc37a4, slc44a4, and apq4), and immune response (wnt4 and tlr5). Furthermore, KEGG pathway enrichment analysis showed that the DEGs were enriched in steroid biosynthesis, lipids metabolism, cytokine-cytokine receptor interaction, tryptophan metabolism, and insulin signaling pathway. Therefore, this study provides insights into the molecular mechanisms of marine fish adaptation to salinity.

Interactive Effects on Motor Performance of Mindfulness, Performance Under Pressure, Self-Talk, and Motor Task Characteristics.

High mindfulness individuals have been found to perform better on motor tasks under various conditions, but it is unknown whether mindfulness and performance relate when performing under pressure or using different types of self-talk with different motor tasks. In this study, 46 male participants (Mage = 21.4, SD = 1.72 years) with high mindfulness (n = 23) and low mindfulness (n = 23) performed dart-throwing and two-hand coordination tasks under pressure and non-pressure conditions and when using instructional and unrelated self-talk. First, on the two-hand coordination task, a three-way mixed ANOVA found: (a) a significant 3-way interaction in which a significantly poorer performance occurred under pressure (vs. without pressure), with low (vs. high) mindfulness and when using unrelated (vs. instructional) self-talk and (b) a significant interaction in which, both under pressure and not, both high and low mindfulness participants performed comparably when using instructional (vs. unrelated) self-talk. Second, on the dart-throwing task, mindfulness interacted with self-talk such that both high and low mindfulness participants performed better when using instructional self-talk, and pressure interacted with self-talk such that participants using instructional (vs. unrelated) self-talk performed better in both pressure and non-pressure conditions. We concluded that instructional self-talk was a useful cognitive strategy, perhaps particularly in pressure conditions and regardless of the degree of mindfulness, and its effectiveness extended to two different motor tasks. We discussed the theoretical implications of these findings, in terms of attention theory, self-talk, and motor control; and we highlighted our study's limitations and practical applications and gave recommendations for future research.

Using a human factors-centric approach to development and testing of a face shield designed for health care workers: A COVID-19 case study for process and outcomes.

BACKGROUND: Face shields are a critical piece of personal protective equipment and their comfort impacts compliant use and thus protectiveness. Optimal design criteria for face shield use in healthcare environments are limited. We attempt to identify factors affecting face shield usability and to test and optimize a face shield for comfort and function in health care settings. METHODS: A broad range of workers in a large health care system were surveyed regarding face shield features and usability. Quantitative and qualitative analysis informed the development of iterative prototypes which were tested against existing shields. Iterative testing and redesign utilized expert insight and feedback from participant focus groups to inform subsequent prototype designs. RESULTS: From 1,648 responses, 6 key elements were identified: ability to adjust tension, shifting load bearing from the temples, anti-fogging, ventilation, freedom of movement, and durability. Iterative prototypes received consistently excellent feedback based on use in the clinical environment, demonstrating incremental improvement. CONCLUSION: We defined elements of face shield design necessary for usability in health care and produced a highly functional face shield that satisfies frontline provider criteria and Emergency Use Authorization standards set by the Food and Drug Administration. Integrating human factors principles into rapid-cycle prototyping for personal protective equipment is feasible and valuable.

The Roles of Neuropeptide Y (Npy) and Peptide YY (Pyy) in Teleost Food Intake: A Mini Review.

Neuropeptide Y family (NPY) is a potent orexigenic peptide and pancreatic polypeptide family comprising neuropeptide Y (Npy), peptide YYa (Pyya), and peptide YYb (Pyyb), which was previously known as peptide Y (PY), and tetrapod pancreatic polypeptide (PP), but has not been exhaustively documented in fish. Nonetheless, Npy and Pyy to date have been the key focus of countless research studies categorizing their copious characteristics in the body, which, among other things, include the mechanism of feeding behavior, cortical neural activity, heart activity, and the regulation of emotions in teleost. In this review, we focused on the role of neuropeptide Y gene (Npy) and peptide YY gene (Pyy) in teleost food intake. Feeding is essential in fish to ensure growth and perpetuation, being indispensable in the aquaculture settings where growth is prioritized. Therefore, a better understanding of the roles of these genes in food intake in teleost could help determine their feeding regime, regulation, growth, and development, which will possibly be fundamental in fish culture.

Effects of 17ß-Estradiol on growth-related genes expression in female and male spotted scat (Scatophagus argus).

Growth hormone (GH) is the most important endocrine factor to regulate somatic growth. Spotted scat (Scatophagus argus) is a famous marine aquaculture species in China with a typical sexual growth dimorphism in which females grow faster and larger than males. In this study, gh messenger RNA (gh mRNA) and GH protein expression were examined in the pituitary glands of female and male spotted scat. Based on qPCR analysis, gh mRNA was mainly expressed in the pituitary gland, and weakly in the gonads and hypothalamus. Furthermore, gh mRNA expression in the pituitary gland was significantly higher in females at stages II-IV than in males at stages III-V. In addition, gh mRNA was highly expressed in the ovary and testis during mature development stages. In this study, spotted scat GH polyclonal antibody was produced. Western blot analysis showed that the molecular weight of spotted scat GH was about 21 KDa. Immunohistochemistry (IHC) in pituitary glands showed that GH was mainly expressed in the proximal pars distal (PPD) and a few cells were distributed in the rostral pairs distal (RPD). After injecting 17ß-Estradiol (E2) in vivo, gh mRNA expression was significantly up-regulated in the pituitary gland, whereas igf1 and ghr1 mRNA levels were down-regulated in the liver, which might regulate gh mRNA expression in the pituitary gland. These results provide valuable insight into the molecular mechanisms of E2 regulating gh expression in spotted scat.

A review of historical and recent locust outbreaks: Links to global warming, food security and mitigation strategies.

Locusts differ from ordinary grasshoppers in their ability to swarm over long distances and are among the oldest migratory pests. The ecology and biology of locusts make them among the most devastating pests worldwide and hence the calls for actions to prevent the next outbreaks. The most destructive of all locust species is the desert locust (Schistocerca gregaria). Here, we review the current locust epidemic 2020 outbreak and its causes and prevention including the green technologies that may provide a reference for future directions of locust control and food security. Massive locust outbreaks threaten the terrestrial environments and crop production in around 100 countries of which Ethiopia, Somalia and Kenya are the most affected. Six large locust outbreaks are reported for the period from 1912 to 1989 all being closely related to long-term droughts and warm winters coupled with occurrence of high precipitation in spring and summer. The outbreaks in East Africa, India and Pakistan are the most pronounced with locusts migrating more than 150 km/day during which the locusts consume food equivalent to their own body weight on a daily basis. The plague heavily affects the agricultural sectors, which is the foundation of national economies and social stability. Global warming is likely the main cause of locust plague outbreak in recent decades driving egg spawning of up to 2-400,000 eggs per square meter. Biological control techniques such as microorganisms, insects and birds help to reduce the outbreaks while reducing ecosystem and agricultural impacts. In addition, green technologies such as light and sound stimulation seem to work, however, these are challenging and need further technological development incorporating remote sensing and modelling before they are applicable on large-scales. According to the Food and Agriculture Organization (FAO) of the United Nations, the 2020 locust outbreak is the worst in 70 years probably triggered by climate change, hurricanes and heavy rain and has affected a total of 70,000 ha in Somalia and Ethiopia. There is a need for shifting towards soybean, rape, and watermelon which seems to help to prevent locust outbreaks and obtain food security. Furthermore, locusts have a very high protein content and is an excellent protein source for meat production and as an alternative human protein source, which should be used to mitigate food security. In addition, forestation of arable land improves local climate conditions towards less precipitation and lower temperatures while simultaneously attracting a larger number of birds thereby increasing the locust predation rates.

Image-based ß-adrenergic sweat rate assay captures minimal cystic fibrosis transmembrane conductance regulator function.

BACKGROUND: There is a need to prognosticate the severity of cystic fibrosis (CF) detected by newborn screening (NBS) by early assessment of CF transmembrane conductance regulator (CFTR) protein function. We introduce novel instrumentation and protocol for evaluating CFTR activity as reflected by ß-adrenergically stimulated sweat secretion. METHODS: A pixilated image sensor detects sweat rates. Compounds necessary for maximum sweat gland stimulation are applied by iontophoresis, replacing ID injections. Results are compared to a validated ß-adrenergic assay that measures sweat secretion by evaporation (evaporimetry). RESULTS: Ten healthy controls (HC), 6 heterozygous (carriers), 5 with CFTR-related metabolic syndrome (CRMS)/CF screen-positive, inconclusive diagnosis (CFSPID), and 12 CF individuals completed testing. All individuals with minimal and residual function CFTR mutations had low ratios of ß-adrenergically stimulated sweat rate to cholinergically stimulated sweat rate (ß/chol) as measured by either assay. CONCLUSIONS: ß-Adrenergic assays quantitate CFTR dysfunction in the secretory pathway of sweat glands in CF and CRMS/CFSPID populations. This novel image-sensor and iontophoresis protocol detect CFTR function with minimal and residual function and is a feasible test for young children because it is insensible to movement and it decreases the number of injections. It may also assist to distinguish between CF and CRMS/CFSPID diagnosis.