Immune checkpoint blockade therapy targeting the programmed death-1(PD-1) pathway has shown remarkable efficacy and durable response in patients with various cancer types. Early prediction of therapeutic efficacy is important for optimizing treatment plans and avoiding potential side effects. In this work, we developed an efficient machine learning prediction method using routine hematologic and biochemical parameters to predict the efficacy of PD-1 combination treatment in Pan-Cancer patients. A total of 431 patients with nasopharyngeal carcinoma, esophageal cancer and lung cancer who underwent PD-1 checkpoint inhibitor combination therapy were included in this study. Patients were divided into two groups: progressive disease (PD) and disease control (DC) groups. Hematologic and biochemical parameters were collected before and at the third week of PD-1 therapy. Six machine learning models were developed and trained to predict the efficacy of PD-1 combination therapy at 8-12 weeks. Analysis of 57 blood biomarkers before and after three weeks of PD-1 combination therapy through statistical analysis, heatmaps, and principal component analysis did not accurately predict treatment outcome. However, with machine learning models, both the AdaBoost classifier and GBDT demonstrated high levels of prediction efficiency, with clinically acceptable AUC values exceeding 0.7. The AdaBoost classifier exhibited the highest performance among the 6 machine learning models, with a sensitivity of 0.85 and a specificity of 0.79. Our study demonstrated the potential of machine learning to predict the efficacy of PD-1 combination therapy based on changes in hematologic and biochemical parameters.

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Recently, the use of nanopesticides has shown significant efficacy in the control of many pests. However, the effect of nanopesticides, especially nanoemulsions, on suppressing termites, Odontotermes formosanus (Shiraki, 1909) (O. formosanus), has not been studied yet. Therefore, this study aimed to produce nanoemulsions of the essential oils of eucalyptus (Eucalyptus globulus Labill; E-EO) and nutmeg (Myristica fragrans Houtt; N-EO) to suppress O. formosanus. The analysis of eucalyptus nanoemulsion (E-NE) and nutmeg nanoemulsion (N-NE) was confirmed by using UV-Vis, dynamic light scattering, zeta potential, transmission electron microscopy, scanning electron microscopy, and energy dispersive spectroscopy. In addition, chemical analysis by Gas Chromatography with a mass spectrometer (GC-MS) exhibited the major constituents of E-NE and N-NE. The principal chemical components of E-NE included D-limonene, eucalyptol, 1,5-cyclooctadiene,3,4-dimethyl, benzene, and 1-methyl-3-(1 methylethyl)-, while the main constituents in N-NE were cyclohexane,1-methylene-4-(1 methylethenyl)-, eucalyptol, and L-. alpha. -terpineol. The mortality rates were 100% and 99.53%, respectively, after 24 hours of treatment with a concentration of 140 mg/mL, compared to 23.43% and 43.55%, respectively, from E-EO and N-EO treatment. These results refer to the essential oils\' nanoemulsion as far more effective than the essential oils themselves. Furthermore, the effects of E-NE and N-NE on detoxification enzymes such as acetylcholinesterase, carboxylesterase, acid and alkaline phosphatase were investigated, as well as total protein concentrations, and the results have been found to be significantly increasing or decreasing in comparison with control. Besides, histological and morphological alterations found post exposure to E-NE and N-NE were shown. Overall, the results from this study clearly indicate that the nanopesticide-formulated nanoemulsions may have great potential to be used as novel, environmentally safe insecticides for controlling O. formosanus.

UNASSIGNED: Soil phosphorus (P) deficiency limits plant growth and productivity in grassland ecosystems and may moderate the growth-promoting effects of \"carbon dioxide (CO2) fertilization effect\".
UNASSIGNED: To evaluate the interactive effects of these two factors on the growth and physiology for annual ryegrass (Lolium multiflorum Lam.), plants were grown in controlled growth chambers with a range of P supply (0.004, 0.012, 0.02, 0.06, 0.1 and 0.5 mM) under two levels of CO2 (400 and 800 μmol mol-1, respectively).
UNASSIGNED: Elevated [CO2] dramatically increased the aboveground biomass and net photosynthetic rates of annual ryegrass by 14.5% and 25.3% under sufficient P supply (0.5 mM), respectively, whereas decreased the belowground biomass and net photosynthetic rates under lower P supply of P0.004, P0.02, and P0.06. Two-way ANOVA results showed that CO2 × P (p < 0.001) significantly affected stomatal traits, leaf photosynthesis and biomass. The stimulation of growth and photosynthesis by elevated CO2 concentration (e[CO2]) was reduced or highly suppressed, indicating that the sensitivity of annual ryegrass to P deficiency was enhanced under e[CO2].
UNASSIGNED: These results indicated that P limitation may offset the positive effects of e[CO2] on plant growth by altering stomatal traits, leaf photochemical processes and biochemical composition in annual ryegrass.

Two new compounds, 3-hydroxy-1-(3-hydroxy-5-methoxyphenyl)-2-methyl propan-1-one (1) and 1,2,6-trihydroxy-8-methoxy-2,3,3a,9b-tetrahydrocyclopenta[c] isochromen-5(1H)-one (2), along with nine known compounds 3-11, involving pyranones, phenylpropenoids and alkaloids, were obtained from Alternaria alternata, an endophyte isolated from Hypericum perforatum L. The structures were elucidated by extensive spectroscopic analyses, including 1D NMR, 2D NMR, HRESIMS, IR, UV spectroscopy. The absolute configuration was established via spectroscopy techniques and X-ray crystallisation method. Furthermore, guided by molecular docking, compounds 1 and 3 exhibited promising anti-neuroinflammatory activity in LPS-induced BV-2 microglial cells, with IC50 values of 0.9 ± 0.3 μM and 3.0 ± 0.4 μM respectively. Moreover, they effectively attenuated the LPS-induced elevation of NO, TNF-α, IL-6, and IL-1β production in BV-2 microglial cells. These findings diversify the metabolite of A. alternata and highlight their potential as leading compounds against neuroinflammatory-related diseases.

Uranium is causing a hazardous impact on the human population throughout the globe. Different methods of remediation have been documented but the approach of phytoremediation has been praised throughout the globe. The bioaccumulation of uranium especially as a hyper-accumulator, has been documented in limited plant species. Therefore the current studies were conducted to elaborate on the overall U accumulation, biochemical and photochemical reactions in Alternanthera philoxeroides and Eichhornia crassipes to different concentrations of Uranium. The results showed that the accumulation of U in A.philoxeroides is higher; followed by E.crassipes; with maximum amounts of roots accumulation. Overall A.philoxeroides and E.crassipes accumulate as much as 948.88 mg/kg and 801.87 mg/kg on a dry weight basis. The biochemical results showed that Superoxide dismutase (SOD) decreased in the leaves and stem of A.philoxeroides; whereas an increase has been seen in E.crassipes in response to all treatments. peroxidase (POD) and Catalase (CAT) showed irregular response to all treatments; where the main increase was observed at T3 (120 μmol/L) and 72 h up to 138 μ/g-FW (POD) and 178 μ/g-FW (CAT) in A.philoxeroides and 1870 μ/g-FW (POD) and 73 μ/g-FW (CAT) in E.crassipes, respectively. The correlation coefficient between the fluorescence ratio Fv/Fm and the concentrations of U-treatment was significantly negative. It is concluded from the results that Uranium halted the biochemical and photochemical reaction but the plants resisted its impact while accumulating a good amount of uranium which is a good prospect for future interventions for the in-situ remediation of uranium-affected sites.

BACKGROUND: Leakage of graphene into the environment has resulted from its increasing use. Although the impact of graphene on ecosystems is already in full swing, information regarding its impact on plants is lacking. In particular, the effects of graphene on plant growth and development vary, and basic information on the regulation of carbon and nitrogen metabolism is missing. In the current study, the way in which graphene (0, 25, 50, 100, and 200 g kg-1 ) affects maize seedlings was studied in terms of morphological and biochemical indicators. The purpose of this study was to understand better how graphene regulates plant carbon and nitrogen metabolism and to understand its interactions with leaf structure and plant growth.
RESULTS: The results showed that 50 g kg-1 graphene increased plant height, stem diameter, leaf area, and dry weight; however, this was inhibited by the high level of graphene (200 g kg-1 ). Further studies indicated that different concentrations of graphene could increase leaf thickness and vascular bundle area as well as the net photosynthetic rate (Pn) of leaves; 25 and 50 g kg-1 graphene enhanced the leaves stomatal conductance (Cond), transpiration rate (Tr), intercellular carbon dioxide (Ci), and chlorophyll content. Higher concentrations decreased the above indicators. At 50 g kg-1 , graphene increased the activity of carbon/nitrogen metabolism enzymes by increasing carbon metabolites (fructose, sucrose, and soluble sugars) and soluble proteins (nitrogen metabolites). These enzymes included sucrose synthase (SS), sucrose phosphate synthase (SPS), nitrate reductase (NR), glutamine synthase (GS), and glutamate synthase (GOGAT).
CONCLUSIONS: These results indicate that graphene can regulate the activities of key enzymes involved in carbon and nitrogen metabolism effectively and supplement nitrogen metabolism through substances produced by carbon metabolism by improving photosynthetic efficiency, thus maintaining the balance between carbon and nitrogen and promoting plant growth and development. The relationship between these indexes explained the mechanism by which graphene supported the growth of maize seedlings by enhancing photosynthetic carbon metabolism and maintaining metabolic balance. For maize seedling growth, graphene treatment with 50 g kg-1 soil is recommended. © 2023 Society of Chemical Industry.

Pholiota adiposa is a valuable edible and medicinal fungus. In this research, Ergosta-4, 6, 8(14), 22-tetraen-3-one (ETO) was obtained from Pholiota adiposa which is the first time to study the anti-diabetic and related mechanism.
Ergosta-4, 6, 8 (14), 22-tetraen-3-one (ETO) was defined by IR and NMR. Relevant biochemical indicators were detected by ELISA assay, hematoxylin-eosin staining (H & E), fasting glucose levels (FBG), oral glucose tolerance test (OGTT), tissue homogenate biochemical measurements, immunohistochemical staining and western blot.
In this research, the ETO treatment groups exhibited a significant reduction in fasting blood glucose (FBG) levels, the High dose group (HD) was about 10 mmol/L lower than the diabetic control group (DC), and increase in body weight, the HD group weighed about 5 g more than the DC group on average. Also, the levels of triacylglycerol (TG), total cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) were found to be decreased, while the levels of high-density superoxide dismutase (SOD), lipoproteincholesterol (HDL-C), catalase (CAT), and glutathione peroxidase (GSH-Px) were increased in the ETO treatment groups. The pancreatic and liver sections of diabetic control group (DC) exhibited several histopathological changes, but the ETO treatment groups exhibited improvements. ETO treatment led to the significant restoration of islet morphology and function. Moreover, the results of the western blot analysis indicate that ETO could be used for the treatment of diabetes, since it modifies part of the IRS1 / PI3K / AKT signaling pathway.

Mulberry leaf shape is an important agronomic trait indicating yield, growth, development, and habitat variation. China was the earliest country in the world to grow mulberry for sericulture, and it is also one of the great contributions of the Chinese nation to human civilization. ATAC-seq (Assay for Transposase Accessible Chromatin using sequencing) is a recently developed technique for genome-wide analysis of chromatin accessibility. The samples used for ATAC sequencing in this study were divided into two groups of whole leaves (CK-1 and CK-2) and lobed leaves (HL-1 and HL-2), with two replicates in each group. The related motif analysis, differential expression motif screening, and functional annotation of mulberry leaf shape differences were performed by raw letter analysis to finally obtain the transcription factors (TFs) that lead to the production of heteromorphic leaves. These transcription factors are common in plants, especially the TCP family, shown to be associated with leaf development and growth in other woody plants and are a potential transcription factor responsible for leaf shape differences in mulberry. Dissecting the regulatory mechanisms of leaf shape of different forms of mulberry leaves by ATAC-seq is an important way to protect mulberry germplasm resources and improve mulberry yield. It is conducive to cultivating mulberry varieties with high resistance to adversity, promoting the sustainable development of sericulture, and protecting and improving the ecological environment.

High-quality tea leaves are required for matcha production. Shading is one of the key agronomic practices that can increase the quality of green tea. The objectives among matcha tea producers include increasing the ammonia and chlorophyll contents of tea buds, decreasing tea polyphenol contents, and enhancing tea aroma formation. In this study, Fuding white tea plants were cultivated under open-air conditions (control) as well as under 85% (S85) and 95% (S95) shade. The chlorophyll contents were highest for the S85 treatment, followed by the S95 and control treatments. Moreover, shading increased the theanine and caffeine contents, while decreasing the polyphenol (epicatechin and epigallocatechin) contents, thereby optimizing matcha tea flavors. A total of 2788 differentially expressed genes (DEGs) were identified, of which 1151 and 1637 were respectively upregulated and downregulated in response to shading. The GO and KEGG enrichment analyses indicated that most of the DEGs were associated with metabolic processes (e.g., MAPK signaling, plant-pathogen interactions, and phenylpropanoid biosynthesis). Therefore, shading may modulate tea plant metabolism, signaling, biosynthetic activities, and environment-related changes to gene transcription. The expression of amino acid permeases (APP) encoding genes was downregulated in tea plants. Thus, shading influences theanine biosynthesis and the AAP-mediated distribution of theanine in tea plants.