Multiple hydrogen-bonding induced nonconventional red fluorescence emission in hydrogels.

The development of unconventional long-wavelength fluorescent polymer hydrogels without using polycyclic aromatic hydrocarbons or extended π-conjugation is a fundamental challenge in luminescent materials owing to a lack of understanding regarding the spatial interactions induced inherent clustering-triggered emission under water-rich conditions. Inspired by the color change of protein astaxanthin as a result of heat-induced denaturation, we propose a thermodynamically driven strategy to develop red fluorescence (~610 nm) by boiling multiple hydrogen-bonded poly(N-acryloylsemicarbazide) hydrogels in a water bath. We reveal that thermodynamically driven conformational changes of polymer chains from isolated hydrogen bonding donor-acceptor structures to through-space interaction structures induce intrinsic fluorescence shifts from blue to red during clustering-triggered emission. The proposed multiple hydrogen-bonding supramolecular hydrogel shows good fluorescence stability, mechanical robustness, and 3D printability for customizable shaping. We provide a viable method to prepare nonconventional long-wavelength fluorescent hydrogels towards soft fluorescent devices without initially introducing any fluorescent components.

Bioreactor-based stem cell therapy for liver fibrosis.

Stem cell therapy, achieved using mesenchymal stem cells (MSCs), has been highlighted for the treatment of liver fibrosis. Infusion into the circulatory system is a traditional application of MSCs; however, this approach is limited by phenotypic drift, stem cell senescence, and vascular embolism. Maintaining the therapeutic phenotype of MSCs while avoiding adverse infusion-related reactions is the key to developing next-generation stem cell therapy technologies. Here, we propose a bioreactor-based MSCs therapy to avoid cell infusion. In this scheme, 5% liver fibrosis serum was used to induce the therapeutic phenotype of MSCs, and a fluid bioreactor carrying a co-culture system of hepatocytes and MSCs was constructed to produce the therapeutic medium. In a rat model of liver fibrosis, the therapeutic medium derived from the bioreactor significantly alleviated liver fibrosis. Therapeutic mechanisms include immune regulation, inhibition of hepatic stellate cell activation, establishment of hepatocyte homeostasis, and recovery of liver stem cell subsets. Overall, the bioreactor-based stem cell therapy (scheme) described here represents a promising new strategy for the treatment of liver fibrosis and will be beneficial for the development of 'cell-free' stem cell therapy.

Genome-wide association study identifies human genetic variants associated with fatal outcome from Lassa fever.

Infection with Lassa virus (LASV) can cause Lassa fever, a haemorrhagic illness with an estimated fatality rate of 29.7%, but causes no or mild symptoms in many individuals. Here, to investigate whether human genetic variation underlies the heterogeneity of LASV infection, we carried out genome-wide association studies (GWAS) as well as seroprevalence surveys, human leukocyte antigen typing and high-throughput variant functional characterization assays. We analysed Lassa fever susceptibility and fatal outcomes in 533 cases of Lassa fever and 1,986 population controls recruited over a 7 year period in Nigeria and Sierra Leone. We detected genome-wide significant variant associations with Lassa fever fatal outcomes near GRM7 and LIF in the Nigerian cohort. We also show that a haplotype bearing signatures of positive selection and overlapping LARGE1, a required LASV entry factor, is associated with decreased risk of Lassa fever in the Nigerian cohort but not in the Sierra Leone cohort. Overall, we identified variants and genes that may impact the risk of severe Lassa fever, demonstrating how GWAS can provide insight into viral pathogenesis.

Spectroscopic Study of a New Electronic Band System 33Δg-a3Πu of C2.

As one of the most important diatomic molecules in the universe, the spectroscopic characterizations of C2 have attracted wide attention in various fields, such as interstellar chemistry, planetary atmospheric chemistry, and combustion. In recent years, a systematic spectroscopic study of C2 in the vacuum ultraviolet (VUV) region has been carried out in our laboratory by using the (1VUV+1'UV) resonance-enhanced multiphoton ionization method based on the combination of a tunable VUV laser source and a time-of-flight mass spectrometer. Two new electronic transition band systems have been reported, following the pioneering work of Herzberg and co-workers in 1969. In the current study, a total of 18 vibronic transition bands of C2 from the lower a3Πu state are experimentally observed in the VUV photon energy range 72000-81000 cm-1, and 6 new upper vibronic levels of 3Δg symmetry are identified, which are assigned as the v' = 0-5 vibrational levels of the 33Δg state of C2. The term energy Te of the 33Δg state is determined to be in the range of 78425-78475 cm-1 (9.724-9.730 eV) with respect to the ground X1Σg+ state, and the molecular constants such as vibrational and rotational constants are also determined, which are in reasonable agreement with those predicted by high-level ab initio theoretical calculations. Irregular vibrational energy level spacings in the 33Δg state are observed, which is tentatively attributed to the strong perturbations between the 33Δg and 23Δg states, as previously predicted by theory.

Practical effects of carbon emissions trading system on energy efficiency.

The carbon emissions trading system (CETS) is a helpful policy instrument for separating carbon emissions from economic expansion, and it significantly impacts energy efficiency (EE). This study uses 30 Chinese provinces from 2007 to 2020 as its research samples, and classifies energy efficiency into single-factor energy efficiency (SFE) and total-factor energy efficiency (TFE), using the difference-in-differences model to examine the effect and mechanism of the CETS on EE. As an additional tool to assess the efficacy of the CETS, the corresponding evolution of the rebound effect of energy-related carbon emissions (RECE) is also calculated. This study shows that the CETS can significantly improve EE in China's pilot provinces. The influence mechanism indicates that the effect of the CETS on EE is influenced by the level of government governance, green innovation, and industrial structure optimization. Further study finds that after the CETS was carried out, the RECE in pilot provinces was higher than that in non-pilot provinces, and 31.4% of carbon emissions reduced by EE improvement rebounded. Therefore, the CETS has yet to realize its full carbon reduction potential. The study offers specific policy proposals for the enhancement of China's CETS in light of the aforementioned findings.

Toward well-defined colloidal particles: Efficient fractionation of lignin by a multi-solvent strategy.

Colloidal lignin particles (CLPs) have sparked various intriguing insights toward bio-polymeric materials and triggered many lignin-featured innovative applications. Here, we report a multi-solvent sequential fractionation methodology integrating green solvents of acetone, 1-butanol, and ethanol to fractionate industrial lignin for CLPs fabrication. Through a rationally designed fractionation strategy, multigrade lignin fractions with variable hydroxyl group contents, molecular weights, and high purity were obtained without altering their original chemical structures. CLPs with well-defined morphology, narrow size distribution, excellent thermal stability, and long-term colloidal stability can be obtained by rational selection of lignin fractions. We further elucidated that trace elements (S, N) were reorganized onto the near-surface area of CLPs from lignin fractions during the formation process in the form of -SO42- and -NH2. This work provides a sustainable and efficient strategy for refining industrial lignin into high-quality fractions and an in-depth insight into the CLPs formation process, holding great promise for enriching the existing libraries of colloidal materials.

Biodiversity and core microbiota of key-stone ecological clusters regulate compost maturity during cow-dung-driven composting.

The primary objectives of this study were to explore the community-level succession of bacteria, fungi, and protists during cow-dung-driven composting and to elucidate the contribution of the biodiversity and core microbiota of key-stone microbial clusters on compost maturity. Herein, we used high-throughput sequencing, polytrophic ecological networks, and statistical models to visualize our hypothesis. The results showed significant differences in the richness, phylogenetic diversity, and community composition of bacteria, fungi, and eukaryotes at different composting stages. The ASV191 (Sphingobacterium), ASV2243 (Galibacter), ASV206 (Galibacter), and ASV62 (Firmicutes) were the core microbiota of key-stone bacterial clusters relating to compost maturity; And the ASV356 (Chytridiomycota), ASV470 (Basidiomycota), and ASV299 (Ciliophora) were the core microbiota of key-stone eukaryotic clusters relating to compost maturity based on the data of this study. Compared with the fungal taxa, the biodiversity and core microbiota of key-stone bacterial and eukaryotic clusters contributed more to compost maturity and could largely predict the change in the compost maturity. Structural equation modeling revealed that the biodiversity of total microbial communities and the biodiversity and core microbiota of the key-stone microbial clusters in the compost directly and indirectly regulated compost maturity by influencing nutrient availability (e.g., NH4+-N and NO3--N), hemicellulose, humic acid content, and fulvic acid content, respectively. These results contribute to our understanding of the biodiversity and core microbiota of key-stone microbial clusters in compost to improve the performance and efficiency of cow-dung-driven composting.

Medical image identification methods: A review.

The identification of medical images is an essential task in computer-aided diagnosis, medical image retrieval and mining. Medical image data mainly include electronic health record data and gene information data, etc. Although intelligent imaging provided a good scheme for medical image analysis over traditional methods that rely on the handcrafted features, it remains challenging due to the diversity of imaging modalities and clinical pathologies. Many medical image identification methods provide a good scheme for medical image analysis. The concepts pertinent of methods, such as the machine learning, deep learning, convolutional neural networks, transfer learning, and other image processing technologies for medical image are analyzed and summarized in this paper. We reviewed these recent studies to provide a comprehensive overview of applying these methods in various medical image analysis tasks, such as object detection, image classification, image registration, segmentation, and other tasks. Especially, we emphasized the latest progress and contributions of different methods in medical image analysis, which are summarized base on different application scenarios, including classification, segmentation, detection, and image registration. In addition, the applications of different methods are summarized in different application area, such as pulmonary, brain, digital pathology, brain, skin, lung, renal, breast, neuromyelitis, vertebrae, and musculoskeletal, etc. Critical discussion of open challenges and directions for future research are finally summarized. Especially, excellent algorithms in computer vision, natural language processing, and unmanned driving will be applied to medical image recognition in the future.

Circular RNA EFR3A promotes nasopharyngeal carcinoma progression through modulating the miR-654-3p/EFR3A axis.

Nasopharyngeal carcinoma (NPC) originates from the nasopharyngeal epithelium. hsa_circ_0135761 (circEFR3A), a newly identified circRNA, presented elevation in NPC via high-throughput sequencing. This study aimed to clarify the molecular mechanism of circEFR3A in the carcinogenesis of NPC. Based on RT-qPCR, subcellular fractionation, RNase R digestion and actinomycin D assays, we evaluated circEFR3A expression characteristics in NPC cells. We found that the circEFR3A was located in the cytoplasm of NPC cells, presented upregulation and stably expressed in NPC cells. Loss-of-function assays clarified the effects of circEFR3A on NPC cell malignant behaviors. The results demonstrated that circEFR3A knockdown facilitated NPC cell apoptosis but repressed NPC cell proliferation and migration. Furthermore, the regulatory mechanism of circEFR3A in NPC was explored. Bioinformatics and mechanism experiments revealed that cicrEFR3A positively modulated EFR3A by competitively binding with miR-654-3p in NPC cells. Additionally, rescue assays showed that the suppressive effects of cicrEFR3A knockdown on NPC cell proliferation, migration and apoptosis were countervailed by EFR3A upregulation. Xenograft tumor-bearing mouse models were established to investigate the role of cicrEFR3A in NPC tumorigenesis in vivo, and the results indicated that circEFR3A silencing suppressed tumor growth in mice. In conclusion, circEFR3A is highly expressed and functions as an oncogene in NPC progression. circEFR3A facilitates NPC cell proliferation and migration by binding to miR-654-3p to upregulate EFR3A, providing a potential new direction for seeking therapeutic plans for NPC.

Observation of Continuum State Dissociation Enables the Determination of N2 Bond Dissociation Energy to Spectroscopic Accuracy.

Nitrogen (N) is one of the most fundamental elements of life. Precise determination of the bond dissociation energy (BDE) of the corresponding homonuclear diatomic molecule N2 is not only important for calculating the enthalpies of formation for any N-containing molecules but also provides the best benchmark for evaluating theoretical computational methods. Thus, it has attracted many experimental and theoretical studies, while controversies still exist. Here, we report the observation of continuum state dissociation of N2 into the channel N(2D5/2,3/2)+N(2D5/2,3/2) for the first time by using the vacuum ultraviolet (VUV)-pump-VUV-probe time-sliced velocity-mapped imaging setup. The quantum-state-resolved images enable the direct visualization of the dissociation onsets corresponding to each of the correlated spin-orbit fine-structure channels within a few tenths of wavenumber. The BDEs of 14N2 and 15N2 are directly determined to be 78691.8 ± 0.3 cm-1 and 78731.5 ± 0.3 cm-1, respectively, which should represent the most accurate BDE of N2 thus far.

The recent progress in the research of extraction and functional applications of basil seed gum.

Basil seed gum (BSG) is a new hydrophilic colloid of natural plant origin. Extracted from basil seeds, it possesses excellent functional characteristics in terms of emulsification, rheology, gelation, stability, and adsorption, which are just as favorable as those of certain commercial gums. Besides, BSG has been widely used in food, medicine, industry, and many other fields for its physiological functions of weight reduction, detoxification, and control of blood sugar and cholesterol as a good dietary fiber. In this paper, we analyzed and discussed the extraction procedures, composition structures, functional characteristics, and modification strategies of BSG. In addition, we summarized the latest research on the applications of BSG in different industries to provide theoretical references for the high-value processing and utilization of BSG.

The splicing factor proline and glutamine rich promotes the growth of osteosarcoma via the c-Myc signaling pathway.

Splicing factor proline- and glutamine-rich (SFPQ) regulates transcripts in skeletal muscle metabolism and tumorigenesis. As osteosarcoma (OS) is the most common malignant bone tumor characterized by genome instability, such as MYC amplification, this study aimed to investigate the role and mechanism of SFPQ in OS. Expression of SFPQ in OS cell lines and human OS tissues was detected using quantitative real-time PCR, western blot, and fluorescence in situ hybridization (FISH) analyses. The oncogenic role of SFPQ in OS cells and murine xenograft models and the underlying mechanism of SFPQ on the c-Myc signaling pathway were assessed in vitro and in vivo. Results showed that SFPQ expression was upregulated and correlated with poor prognosis in OS patients. SFPQ overexpression promoted the malignant biological behavior of OS cells, while its knockdown markedly reduced the oncogenic function of OS. Additionally, depletion of SFPQ inhibited OS growth and bone destruction in nude mice. SFPQ overexpression induced malignant biological behaviors, which could be rescued by the depletion of c-Myc. These results suggest an oncogenic role of SFPQ in OS, possibly through the c-Myc signaling pathway.

EGCG alleviates obesity-exacerbated lung cancer progression by STAT1/SLC7A11 pathway and gut microbiota.

Leptin is a nutritional cytokine, and it is closely related to the progression of cancer. However, the detailed effect of leptin in lung cancer remains poorly known. We found leptin-induced A549 cell proliferation, migration, and invasion, which was reversed by epigallocatechin gallate (EGCG) from green tea. Currently, we found that leptin-triggered M2 polarization of tumor-associated macrophages was inhibited by EGCG. Then, to investigate the underlying mechanism effect of leptin on A549 cells was studied. Aberrant activities of STAT1 are implicated in cancer development. Based on the cancer genome atlas data, STAT1 acted as an oncogene in lung cancer and EGCG greatly reduced STAT1 expression in A549 cells. Ferroptosis is an iron-dependent nonapoptotic cell death. STAT1 served as a transcriptional activator for SLC7A11. EGCG restrained lung cancer cell growth induced by leptin via targeting STAT1-SLC7A11 mediated ferroptosis. A high-fat diet (HFD) feeding condition was combined with a multi-dose urethane-induced lung tumorigenesis model using C57BL/6J mice. Obesity was induced with a 60 kcal% HFD feeding. Serum leptin levels increased in urethane-administered and HFD-fed mice. Compared to the control diet-fed mice, the HFD-fed mice exhibited increased lung tumor burden and typical pro-tumorigenic STAT1 activation in lung tissues after urethane administration. In addition, HFD alters the gut microbiome by decreasing the abundance of Clostridia and by increasing the abundance of Deltaproteobacteria and Epsilonproteobacteria while EGCG exhibited a reversed effect. These findings suggested that leptin promoted the development of lung tumorigenesis in vitro and in vivo via mediating activation of the STAT-SLC7A11 pathway and gut microbiota.

The impact of Water Ecological Civilization City Pilot on urban green innovation: the case of China.

As an essential part of ecological civilization, water ecological civilization has significant influence on the green and sustainable development of cities. Under the background of China's Water Ecological Civilization City Pilot (WECCP), based on data from 275 cities in China from 2007 to 2019 by using the difference-in-differences (DID) model, we empirically analyzed the influence of the WECCP establishment on urban green innovation and explored the impact mechanism in depth using a mediating effect model, which aimed to verify whether the "Porter hypothesis" holds true in China. The result indicated that the WECCP had made a remarkable contribution to enhancing urban green innovation in the pilot cities. Further research found that the input mechanism played an important mediating role. In addition, the heterogeneity test indicated that cities in the central region, at low administrative levels, and in the first batch of pilots gained more from the policy establishment. This paper has theoretical implications for understanding the derived innovation benefits of the environmental policy, practical implications for identifying new drivers of urban innovation, and provides related experience for the country to further promote and expand water ecological civilization construction and useful policy inspiration for other developing countries to formulate ecological and environmental policies.

Research on spatial and temporal differences of carbon emissions and influencing factors in eight economic regions of China based on LMDI model.

With the gradual increase of international willingness to reach the carbon peak and carbon neutrality, this paper decomposes the influencing factors of China's carbon emission changes from 2008 to 2019 using the Logarithmic Mean Divisia Index model (LMDI), and analyzes the contribution amount and rate of each influencing factor. The results found that: for the whole country, the cumulative growth of carbon emissions during the study period is about 416,484.47 (104 tons), among which the economic growth effect plays a major role in promoting, with a cumulative contribution rate of 284.16%; The increase in regulation intensity and the optimization of industrial structure, however, suppress carbon emissions well, with a cumulative contribution rate of about - 199.21% and - 64.75%, respectively, during the study period. For economic regions, the cumulative influence direction of each driver is the same as that of the whole country, while the population size effect in the northeast economic region and the regulation input effect in the eastern coastal economic region act in the opposite direction from other economic regions, and the carbon emission reduction direction of the energy intensity effect varies from one economic region to another. Accordingly, this paper proposes policy recommendations to enhance regulatory intensity, optimize industrial and energy consumption structure, implement localized emission reduction strategies, and promote synergistic emission reduction in economic zones.

Histone lysine methyltransferase SMYD3 promotes oral squamous cell carcinoma tumorigenesis via H3K4me3-mediated HMGA2 transcription.

BACKGROUND: Epigenetic dysregulation is essential to the tumorigenesis of oral squamous cell carcinoma (OSCC). SET and MYND domain-containing protein 3 (SMYD3), a histone lysine methyltransferase, is implicated in gene transcription regulation and tumor development. However, the roles of SMYD3 in OSCC initiation are not fully understood. The present study investigated the biological functions and mechanisms involved in the SMYD3-mediated tumorigenesis of OSCC utilizing bioinformatic approaches and validation assays with the aim of informing the development of targeted therapies for OSCC. RESULTS: 429 chromatin regulators were screened by a machine learning approach and aberrant expression of SMYD3 was found to be closely associated with OSCC formation and poor prognosis. Data profiling of single-cell and tissue demonstrated that upregulated SMYD3 significantly correlated with aggressive clinicopathological features of OSCC. Alterations in copy number and DNA methylation patterns may contribute to SMYD3 overexpression. Functional experimental results suggested that SMYD3 enhanced cancer cell stemness and proliferation in vitro and tumor growth in vivo. SMYD3 was observed to bind to the High Mobility Group AT-Hook 2 (HMGA2) promoter and elevated tri-methylation of histone H3 lysine 4 at the corresponding site was responsible for transactivating HMGA2. SMYD3 also was positively linked to HMGA2 expression in OSCC samples. Furthermore, treatment with the SMYD3 chemical inhibitor BCI-121 exerted anti-tumor effects. CONCLUSIONS: Histone methyltransferase activity and transcription-potentiating function of SMYD3 were found to be essential for tumorigenesis and the SMYD3-HMGA2 is a potential therapeutic target in OSCC.

Study on the measurement of industrial eco-efficiency, spatial distribution and influencing factors in Yangtze River Economic Belt.

Nowadays, China insists on the strategy of ecological priority and green development, and the Yangtze River Economic Belt is a pioneering demonstration belt for the construction of ecological civilization in China. Promoting industrial ecological efficiency is of great significance to Chinese sustainable development and high-quality economic development. Based on the provincial panel data of 11 provinces and cities in the Yangtze River Economic Belt region from 2011 to 2020, we use the super-efficient slacks-based measure of efficiency SBM model to measure the industrial eco-efficiency of the Yangtze River Economic Belt, reveal the spatial differences in industrial eco-efficiency of different provincial units, and explore the industrial eco-efficiency. The results show that: (1) from the perspective of the Yangtze River Economic Belt as a whole, industrial eco-efficiency is on a stable upward trend, but the efficiency level is not high, and there is more room for improvement; (2) in terms of the spatial distribution of industrial eco-efficiency in the Yangtze River Economic Belt, there are significant differences, with industrial eco-efficiency in the downstream region being higher than that in the midstream region and the upstream region, and the lowest in the midstream region, while in terms of the spatial distribution pattern, the industrial eco-efficiency of 11 provinces and cities in the Yangtze River Economic Belt eco-efficiency has a significant positive spatial autocorrelation; (3) in terms of influencing factors, economic development level, factor endowment, and foreign investment can significantly influence industrial eco-efficiency in the Yangtze River Economic Belt. The study's result helps provide theoretical guidance and practical reference for promoting the green and ecological development of industries in the Yangtze River Economic Belt.

Integrating molybdenum into zinc vanadate enables Zn3V2MoO8 as a high-capacity Zn-supplied cathode for Zn-metal free aqueous batteries.

The commercialization of aqueous zinc-ion batteries (AZIBs) has been hindered by the obsession with Zn-metal anode, just like the early days of lithium-ion batteries. Developing Zn-metal free aqueous batteries (ZFABs) with superior Zn-supplied cathodes is a promising way to escape this predicament. Herein, a novel mixed transition-metal spinel, Zn3V2MoO8, has been synthesized via a sol-gel technique and proposed as a Zn-supplied cathode material. Utilizing the synergistic effect of vanadium and molybdenum, Zn3V2MoO8 can provide a high capacity of 360.3 mA h g-1 at 100 mA g-1, which is the state-of-the-art in existing Zn-supplied cathodes, and the capacity retention is 82% over 700-4500 cycles at 10 A g-1. The mechanism is that Zn3V2MoO8 undergoes a phase transition to Zny(V,Mo)2O5-x·nH2O in the initial charge, and then protons and zinc ions intercalate/deintercalate concurrently into/from the new host. To construct ZFABs with a Zn3V2MoO8 cathode, two non-zinc materials (brass and 9,10-anthraquinone) are used as anodes. Thereby, the Zn3V2MoO8||9,10AQ battery reveals a more satisfactory electrochemical performance, with a stable capacity of 100.4 mA h g-1 lasting for 200 cycles, which provides a feasible scheme for the practical application of AZIBs.

Threshold Effect of Environmental Regulation and Green Innovation Efficiency: From the Perspective of Chinese Fiscal Decentralization and Environmental Protection Inputs.

In the context of China's 14th Five-Year Plan and 2035 visionary goals of national economic and social development, to achieve the national dual carbon goals, an innovation-driven green development strategy must be implemented, and the relationship between environmental regulation and green innovation efficiency must be clarified. Based on the DEA-SBM model, in this study, we measured the green innovation efficiency of 30 provinces and cities in China from 2011 to 2020 by introducing environmental regulation as the core explanatory variable, and two threshold variables, environmental protection input and fiscal decentralization, to empirically analyze the threshold effect of environmental regulation on green innovation efficiency. We found that: (1) The green innovation efficiency of 30 provinces and municipalities in China is spatially distributed as strong in the east and weak in the west. (2) A double-threshold effect exists with environmental protection input as the threshold variable. Environmental regulation showed an inverted N-shaped relationship of first inhibiting, then promoting, and finally inhibiting green innovation efficiency. (3) A double-threshold effect exists with fiscal decentralization as the threshold variable. Environmental regulation showed an inverted N-shaped relationship of inhibiting, promoting, and then inhibiting green innovation efficiency. The study results provide theoretical guidance and practical reference for China to achieve the dual carbon goal.

Metabolomics strategy of Pikang oral liquid in the treatment of psoriasis.

This study aimed to investigate the effect of Pikang oral liquid (PK) on psoriasis and analyze its possible mechanism from the perspective of metabolism. A psoriasis-form mouse model established using imiquimod (IMQ) was used to evaluate the anti-psoriatic effects of PK. The serum samples were analyzed by high-resolution nuclear magnetic resonance (1 H NMR)-based metabonomics. Nine amino acids were further quantitatively analyzed by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF MS). This study suggested that PK treatment markedly attenuated IMQ-induced psoriasis in a dose-dependent manner. 1 H NMR-based multivariate trajectory analysis revealed that PK had a certain regression effect on eight differential metabolites. The quantitative results showed that PK could significantly regulate the serum levels of alanine, histidine and arginine to healthy control levels. The anti-psoriasis mechanism of PK may be associated with the restoration of the disturbance in the amino acid metabolism, energy metabolism and lipid metabolism and so on. Quantitative results further confirmed that amino acid metabolism play an key role in the pathogenesis of psoriasis. Our investigation provided a holistic view of PK for intervention psoriasis and provided the scientific information in vivo about a clinical value of PK for psoriasis.