Novel biomarkers are imperative for predicting radioactive iodine (RAI) avidity in metastatic lesions of differentiated thyroid carcinoma, and mechanisms regulating RAI uptake remain incompletely understood. This study aimed to identify distinct serum metabolic profiles in papillary thyroid carcinoma (PTC) patients with non-131I-avid disease and elucidate underlying molecular mechanisms. Serum samples from 94 PTC patients were analyzed using gas chromatography–time-of-flight mass spectrometry. Patients were stratified into the non-131I-avid pulmonary metastases group (n = 30), the 131I-avid pulmonary metastases group (n = 31), and the remnant ablation group (n = 33). Principal component analysis and orthogonal partial least squares-discriminant analysis was employed for classification and biomarker identification. Differential metabolites were visualized via heatmap and evaluated for diagnostic potential using receiver operating characteristic curve analysis. Pathway enrichment analysis utilized the KEGG database. Sixty metabolites were significantly dysregulated between non-131I-avid and 131I-avid groups: 54 elevated (fold change (FC) range: 1.17–4.81) and 6 reduced (FC range: 0.31–0.82) in the non-131I-avid cohort. Ten metabolites demonstrated a high predictive power for non-131I-avid pulmonary metastatic PTC (AUC > 0.9; P < 0.001). Pathway analysis identified linoleic acid (LA) metabolism as the most significantly altered pathway (impact factor = 1.0). Mechanistically, LA competitively inhibited the binding of the endoplasmic reticulum (ER) stress-responsive transcription factor ATF4 to the sodium–iodide symporter (NIS) promoter, suppressing NIS transcription. Serum metabolomic profiling effectively discriminates PTC patients with pulmonary metastases based on 131I avidity. Our findings demonstrate that LA attenuates NIS expression by inhibiting ER stress-mediated ATF4 activation in PTC. This work provides novel mechanistic insights into non-131I-avid metastatic PTC development and identifies potential diagnostic biomarkers and therapeutic targets.

Molecular structure elucidation from tandem mass spectra (MS/MS) is a central inverse problem in analytical chemistry. Most existing approaches to MS/MS identification remain tied to reference libraries or predefined candidate sets, whereas de novo methods aim to generate structures directly from spectra. A common de novo route predicts a molecular fingerprint from the spectrum and then decodes structures from it, enabling decoder pretraining on large molecule-only corpora. However, this paradigm creates a training-inference mismatch: the decoder is trained on oracle fingerprints computed from molecules, but at inference it is queried with a noisy spectrum-induced fingerprint posterior that is typically collapsed to a single thresholded fingerprint. We introduce MS-GPT, which recasts fingerprint-mediated de novo elucidation as spectrum-induced posterior querying of a conditional molecule-language model. MS-GPT conditions a molecule-language model on fingerprints and formulas, then converts the spectrum-induced posterior into a band of fingerprint queries near the oracle-fingerprint manifold through active-bit density calibration. Candidates sampled across this band are pooled and ranked by generation-frequency consensus. A lightweight LoRA adapter further mitigates domain-specific posterior bias while preserving the pretrained molecular prior. On NPLIB1 and MassSpecGym, MS-GPT sets a new state of the art, reaching Top-1/Top-10 exact-match accuracy of 29.8\%/41.1\% and 23.9\%/28.7\%, respectively. Candidate-pool scaling shows that efficient autoregressive molecular generation continues to improve recall with a little additional inference cost. The source code and model checkpoints are available at https://github.com/VIKI623/MS-GPT.

Gongfa is an essential approach to prevent and treat diseases in traditional Chinese medicine (TCM), often used to prevent a disease before it arises. Guided by TCM and modern scientific theories, the Tuina (Chinese therapeutic massage) Gongfa prescription theory implements the principle, method, prescription, and form in clinical pattern-identified treatment to prescribe the corresponding Tuina Gongfa prescription, i.e., to prescribe a basic Tuina Gongfa prescription specifically for a system disease and modify Gongfa forms based on the basic prescription according to different patterns. The Gongfa prescription for pulmonary diseases designs corresponding Gongfa forms from six perspectives: lifting Yang, securing the exterior, opening the orifices, soothing the chest, harmonizing the stomach, and regulating Qi for preventing and treating diseases. The application of pulmonary Gongfa prescription indicates the potential to use the Tuina Gongfa prescription theory for clinical prevention, treatment, and rehabilitation of disorders of other systems, giving full play to the unique role of TCM Gongfa.

Agarwood (Aquilaria malaccensis Lam.) is a resinous material from different geographical locations. The current evaluation of agarwood quality is usually based on its physical properties and chemical compounds, yet only a few studies have linked agarwood quality with its anxiolytic effect, as indicated by characteristic compounds. In this study, using solid-phase microextraction/gas chromatography–time-of-flight mass spectrometry (SPME/GC-TOFMS) and multivariate analysis, we found 116 significantly different compounds in agarwood samples from four locations in Southeast Asia with regard to their quality. Brunei and Nha Trang agarwood had abundant sesquiterpenoids, exhibiting notable pharmacological efficacy in relieving anxiety. Malaysian and Irian agarwood had abundant alcohols and aldehydes, qualifying them as high-quality spices. Compound–target–disease network and pathway enrichment analysis were further employed to predict 79 gene targets and 20 pathways associated with the anxiolytic effects based on the 62 sesquiterpenoids. The correlated relationships among the sesquiterpenoids and targets suggest that agarwood treats anxiety via multiple compounds acting on multiple targets. Varying levels of sesquiterpenes across agarwood groups might lead to differences in the anxiolytic effects via signaling pathways, such as neurotransmitter- and hormone-regulated pathways. Our study originally evaluates agarwood quality and its anxiolytic effect by linking the characteristic compounds to potential gene targets and pathways.

Objective·To study the effect of rhubarb administration on the balance between intestinal flora and the body.Methods·Wistar rats were randomly divided into 4 groups (n=8), which were given extractions of rhubarb 0.1 g/kg (low dose group), 2.5 g/kg (medium dose group), 4.5 g/kg (high dose group) and normal saline (control group) by intragastric administration for 5 d, and the daily change of fecal water content of rats was observed. Gas chromatography/time of flight mass spectrometry (GC/TOFMS) approach was used to detect the metabolites in serum, colon tissue and fecal of rats on the 5th day of administration. Principal component analysis (PCA) and partial least squares discrimination analysis (PLS-DA) were used to analyze the differences of metabolites between different dose groups and the control group. The metabolites with statistical significance were obtained by t-test.Results·The water content of rat feces in the dose group gradually increased with the time and dose after rhubarb administration. Compared with the control group, 28, 18 and 20 differential metabolites were obtained in serum, colon tissue and fecal samples from different dose groups, which showed significant changes (P<0.05) on the 5th day. At the same time, the levels of 17 serum metabolites, 2 colon tissue metabolites, and 10 fecal metabolites altered significantly in a dose-dependent manner. Among these differential metabolites, some gut microbial-host co-metabolites, including neurotransmitters, indoles, and bile acids, were observed to alter significantly after rhubarb administration. The levels of fecal catechol and indole-3-acetic acid increased while the levels of fecal phenylalanine, 4-aminobutyric acid, L-DOPA, and indole-3-propionic acid decreased. Deoxycholic acid level was significantly elevated in colon tissue samples from the high-dose group. Compared with the control group, phenylalanine, tyrosine, and tryptophan levels in serum samples also increased in different dose groups. In addition, the levels of fumaric acid (one of organic acids related to energy metabolism), was down-regulated in fecal samples but up-regulated in colon tissue and serum samples. With the increase of dosage, the level of glutamic acid (one of amino acids) significantly increased in serum samples but gradually decreased in colon tissue samples. Except for 6-phosphogluconic acid, the levels of carbohydrates and lipid metabolites, including fructose, pyruvate, lactic acid, glucose-1-phosphate, D-glycero-1-phosphate docosenic acid, 13-docosenoic acid, 1-monostearoylglycerol, and cholesterol increased in the serum samples, while those of D-glycero-1-phosphate in colon tissue and lactic acid, glucose-1-phosphate, and linolenic acid in fecal samples decreased.Conclusion·Rhubarb affects brain-gut axis and bile acid metabolism through the gut microbial-host co-metabolism, and further affects the body's energy metabolism, amino acid metabolism, glycometabolism and lipid metabolism.

Objective The characteristic constituents of essential oils from aromatic plants have been widely applied as antimicrobial agents in the last decades. However, their mechanisms of action remain obscure, especially from the metabolic perspective. The aim of the study was to explore the antimicrobial effect and mechanism of menthone, a main component of peppermint oil, against methicillin resistant Staphylococcus aureus (MRSA). Methods An integrated approach including the microbiology and the high-coverage lipidomics was applied. The changes of membrane properties were studies by the fluorescence and electron microscopical observations. The lipid profile was analyzed by ultra-high performance liquid chromatography coupled with quadruple Exactive mass spectrometry (UHPLC-QE-MS). The lipid-related key targets which were associated with the inhibitory effect of menthone against MRSA, were studied by network analysis and molecular docking. Results Menthone exhibited antibacterial activities against MRSA, with minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of 3,540 and 7,080 μg/mL, respectively. The membrane potential and membrane integrity upon menthone treatment were observed to change strikingly. Further, lipids fingerprinting identified 136 significantly differential lipid species in MRSA cells exposed to menthone at subinhibitory level of 0.1× MIC. These metabolites span 30 important lipid classes belonging to glycerophospholipids, glycolipids, and sphingolipids. Lastly, the correlations of these altered lipids, as well as the potential metabolic pathways and targets associated with menthone treatment were deciphered preliminarily. Conclusion Menthone had potent antibacterial effect on MRSA, and the mechanism of action involved the alteration of membrane structural components and corresponding properties. The interactions of identified key lipid species and their biological functions need to be further determined and verified, for the development of novel antimicrobial strategies against MRSA.

Our objective was to explore the mechanism of essential oil that was extracted from Cinnamomum camphora chvar. Borneol (Borneol essential oil) for improving learning and memory impairment in mice. Brain tissue and plasma samples of a normal group, a model group, a Borneol essential oil group and a reference group were detected using gas chromatography time-of-flight mass spectrometry (GC-TOFMS) in order to find differential metabolites and analyze metabolic pathways. Results showed that there were 11 different metabolites --including glycine and azelaic acid --in plasma samples, and that there were 26 different metabolites--including adenine and aspartic acid --in brain tissue samples. These metabolites are involved in phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, alanine, aspartate and glutamate metabolism, arginine biosynthesis, beta-alanine metabolism, glyoxylate acid and dicarboxylate metabolism, and aminoacyl-tRNA biosynthesis. Thus, Borneol essential oil may improve learning and memory impairment by regulating amino acid metabolism and/or neurotransmitter changes.

Fine particulate matter (PM2.5) is an important risk factor affecting human health. Therefore, a quick method for finding metabolic targets in situ in ambient fine particulate matter is crucial. In this study, the impact of PM2.5 on human lung epithelial cells (A549) was investigated by Raman spectroscopy and mass spectrometry (MS)–based nontargeted metabolomics analysis. Raman detection indicated that exposure to PM2.5 reduced the levels of phenylalanine, tyrosine, and nucleotides. Metabolomics results not only demonstrated a significant decrease of the aforementioned metabolites but also added some important metabolite information that could not be detected by Raman spectroscopy. Our study demonstrated that Raman spectroscopy was an in situ, real-time, and rapid detection method for detecting metabolites, especially suitable for the assignment of phenylalanine/tyrosine and nucleotides, which play important roles in cellular growth. Moreover, the metabolic profiling changes observed upon PM2.5 treatment mainly involved phenylalanine, tyrosine metabolism, purine and pyrimidine metabolism, and energy metabolism, clearly demonstrating that PM2.5 can inhibit the synthesis of protein and DNA/RNA and reduce cellular energy supplies, further influencing cellular proliferation and other activities.

Increasing evidence highlighted the metabolic associations between host and gut microbiota during infection. However, how host-gut microbiota metabolic partnership response to carbapenem-resistant Escherichia coli (CRE) infection has yet to be elucidated. In this study, we subjected the mice to a single intraperitoneal injection of CRE and studied the alterations of the small molecule metabolites derived from host-microbial co-metabolism, as well as the gut microbiome in mice, at 24 h after infection by a two-level strategy. A panel of metabolites in feces and serum, were found to alter significantly in the CRE group, including 26 joint metabolites between them. Meanwhile, the relative abundance of 14 OTUs in Firmicutes (10 OTU), Bacteroidetes (2 OTU), Actinomycetes (1 OTU), and Proteobacteria (1 OTU) were observed to change after infection. Association analyses demonstrated that 9 OTUs including six in the Firmicutes phylum, two in the Bacteroidetes phylum, and one in the Actinomycetes phylum, were associated with the changes of 49 fecal metabolites and 42 serum metabolites. The study of gut microbiota-host metabolic interactions in the early stage of the infection is expected to provide novel diagnostic methods and therapeutic strategies for CRE infection, bring innovative solutions to resolve the current challenge.

The disturbance in gut microbiota composition and metabolism has been implicated in the process of pathogenic bacteria infection. However, the characteristics of the microbiota and the metabolic interaction of commensals–host during pathogen invasion remain more than vague. In this study, the potential associations of gut microbes with disturbed lipid metabolism in mice upon carbapenem-resistant Escherichia coli (CRE) infection were explored by the biochemical and multi-omics approaches including metagenomics, metabolomics and lipidomics, and then the key metabolites–reaction–enzyme–gene interaction network was constructed. Results showed that intestinal Erysipelotrichaceae family was strongly associated with the hepatic total cholesterol and HDL-cholesterol, as well as a few sera and fecal metabolites involved in lipid metabolism such as 24, 25-dihydrolanosterol. A high-coverage lipidomic analysis further demonstrated that a total of 529 lipid molecules was significantly enriched and 520 were depleted in the liver of mice infected with CRE. Among them, 35 lipid species showed high correlations (|r| > 0.8 and p < 0.05) with the Erysipelotrichaceae family, including phosphatidylglycerol (42:2), phosphatidylglycerol (42:3), phosphatidylglycerol (38:5), phosphatidylcholine (42:4), ceramide (d17:1/16:0), ceramide (d18:1/16:0) and diacylglycerol (20:2), with correlation coefficients higher than 0.9. In conclusion, the systematic multi-omics study improved the understanding of the complicated connection between the microbiota and the host during pathogen invasion, which thereby is expected to lead to the future discovery and establishment of novel control strategies for CRE infection.

Reliable methods are always greatly desired for the practice of food inspection. Currently, most food inspection techniques are mainly dependent on the identification of special components, which neglect the combination effects of different components and often lead to biased results. By using Chinese liquors as an example, we developed a new food identification method based on the combination of machine learning with GC × GC/TOF-MS. The sample preparation methods SPME and LLE were compared and optimized for producing repeatable and high-quality data. Then, two machine learning algorithms were tried, and the support vector machine (SVM) algorithm was finally chosen for its better performance. It is shown that the method performs well in identifying both the geographical origins and flavor types of Chinese liquors, with high accuracies of 91.86% and 97.67%, respectively. It is also reasonable to propose that combining machine learning with advanced chromatography could be used for other foods with complex components.

Ethnopharmacological relevance: Fungal infections remain a serious problem worldwide that require effective therapeutic strategies. Essential oil of basil (Ocimum basilicum L., BEO) being traditionally used extensively for the treatment of bacterial and fungal infection has a long history. However, the potential mechanism of action was still obscure, especially from the metabolic perspective. Materials and methods: The fungistatic effect of BEO on Candida albicans (C. albicans) was evaluated by measurement of minimum inhibitory concentration (MIC) and morphological analysis. A high-coverage microbial metabolomics approach was utilized to identify the alterations of intracellular metabolites of C. albicans at mid-logarithmic growth phase in response to the subinhibitory concentration of BEO, by using gas chromatography coupled to time-of-fight mass spectrometry (GC-TOFMS). Following the metabolic fingerprinting, systematic network analysis was performed to illustrate the potential mechanism of BEO involved in the suppression of C. albicans. Results: The damage in cellular membranes of C. albicans treated by BEO above MIC was observed on the scanning electron microscope (SEM) micrographs. Metabolomics results showed that, among 140 intracellular metabolites identified by comparison with reference standards, thirty-four had significantly changed abundances under 0.2 MIC of BEO treatment, mainly involving in central carbon metabolism (glycolysis/gluconeogenesis, pentose phosphate pathway and TCA cycle), amino acids, polyamines and lipids metabolism. Pathway and network analyses further found that fifteen ingredients of BEO mainly terpenoids and phenyl-propanoids, potentially participated in the metabolic regulation and may be responsible for the suppression of C. albicans. Conclusions: The findings highlighted that integrated microbial metabolomics and network analyses could provide a methodological support in understanding the functional mechanisms of natural antimicrobial agents and contribute to drug discovery.

Artesunate was well known as an antimalarial drug. Our previous research found that it has hypolipidemia effects in rabbits fed with a high-fat diet, especially combined with ursolic acid. In this study, we reconfirmed the lipid-lowering effect of artesunate and ursolic acid in hamsters and analyzed the metabolic changes using gas chromatography time-of-flight mass spectrometry (GC/TOF MS). Compared with the model group, a variety of different metabolites of artesunate and ursolic acid, alone or in combination, were found and confirmed. These differential metabolites, including fatty acids, lipids, and amino acids, were involved in lipid metabolism, energy metabolism, and amino acid metabolism. It indicated that two agents of artesunate and ursolic acid could attenuate or normalize the metabolic transformation on these metabolic pathways.

Calorie restriction (CR) can improve the metabolic balance of adults and elevate the relative abundance of probiotic bacteria in the gut while promoting longevity. However, the interaction between remodeled intestinal flora and metabolic improvement, as well as the mechanism for probiotic bacterial increase, are still unclear. In this study, using a metabolomics platform, we demonstrate for the first time, that CR leads to increased levels of malate and its related metabolites in biological samples. Next, we investigated the effects of CR on the gut microbial genome and the expression of mRNA related to energy metabolism which revealed a partially elevated TCA cycle and a subsequently promoted glyoxylate cycle, from which large amounts of malate can be produced to further impact malate related pathways in the host liver. Through the identification of key “hungry” metabolites produced by the gut microbiota that function in the promotion of autophagy in the host, further insight has been gained about a functional metabolic network important for both host-microbial symbiosis and maintenance of host health.### Competing Interest StatementThe authors have declared no competing interest.

GC20, a novel soluble bis-chelated gold(I)−diphosphine compound, has been reported as a promising anticancer candidate. Assessing the pharmacokinetic properties of GC20 is critical for its medicinal evaluation. First, a sensitive and specific liquid chromatography tandem mass spectrometry (LC-MS/MS) was developed and well validated to determine GC20 in rat plasma and rat tissue homogenate after one step protein precipitation. Chromatographic separation was achieved on an Angilent ZORBAX-C18 column (3.5 μm, 2.1 × 50 mm) with gradient elution and mass spectrometry was performed on a triple quadrupole in positive ion mode using an electrospray ionization source. This method was then applied to investigate the pharmacokinetics and tissue distribution of GC20 in rats after intravenous administration. The results showed that the plasma exposure of GC20 in vivo increased with increasing doses after a single dose. However, after multiple doses, a significant accumulation and a saturation at elimination were observed for GC20 in rats. Moreover, after intravenous administration, GC20 was widely distributed in various tissues, with the highest levels in the lung, spleen, liver, and pancreas, followed by the kidney and heart, while the lowest level was found in the brain. This is the first report on the pharmacokinetic properties of GC20.

Polyethylene glycol (PEG) is widely used in the biomedical field due to its outstanding properties. There are plenty of reports on the safety of PEG, but they are mostly restricted to its pharmacokinetic behaviour and pathological effect in vivo, and fail to elucidate its biological effects on cells at the molecular level. Consequently, here we illuminate the biological effect of PEG on a specific cellular pathway. We found that PEG could induce short-term urea cycle inhibition in rat liver cells in vitro without damaging the mitochondria and cells, which was proven to be an adaptive and reversible response to PEG at the molecular level. PEG could also induce a transient hepatic stress response in vivo, which was closely related with the urea cycle disorder. As a mechanistic study on the interactions between a synthetic biomedical polymer and cells at the molecular level, our work provides novel insights into the biological effects of polymers on a cellular system and is fundamental to the development of biomedical polymers.

Many studies confirmed that the over-activation of RAF-MEK-ERK signaling pathway plays a central role in human cancers. To avoid drug resistance during cancer treatment, many researchers focused on the study of the downstream therapeutic target of RAF-MEK-ERK signaling pathway. Therefore, ERK1/2 became a hot anticancer target. It has been shown that ERK phosphorylation could activate Th17 cells and therefore induce inflammatory diseases. Due to these results, inhibition of ERK, as a potential drug target, could provide a solution for autoimmune diseases, especially T cell mediated diseases. In this study, a small synthetic molecule JSI287 was found with the function of alleviating IMQ-induced mice skin lesions through ERK/IL-17 signaling pathway during the screening of small molecule databases targeting ERK. The results showed that JS1287 small molecule alleviated epidermal thickness, epidermis congestion, edema and inflammatory cell infiltration, decreased release of inflammatory cytokines of IL-6, IL-12 and IL-17A, and further regulated the mRNA expression of ATF1 and protein expression of ERK1/2 in IMQ-induced skin lesions. Our study suggested that ERK inhibitor JSI287 could be a promising candidate for psoriasis treatment.

Lettuce is an important leafy vegetable that represents a significant dietary source of antioxidants and bioactive compounds. However, the levels of metabolites in different lettuce cultivars are poorly characterized. In this study, we used combined GC × GC-TOF/MS and UPLC-IMS-QTOF/MS to detect and relatively quantify metabolites in 30 lettuce cultivars representing large genetic diversity. Comparison with online databases, the published literature, standards as well using collision cross-section values enabled putative identification of 171 metabolites. Sixteen of these 171 metabolites (including phenolic acid derivatives, glycosylated flavonoids, and one iridoid) were present at significantly different levels in leaf and head type lettuces, which suggested the significant metabolomic variations between the leaf and head types of lettuce are related to secondary metabolism. A combination of the results and metabolic network analysis techniques suggested that leaf and head type lettuces contain not only different levels of metabolites but also have significant variations in the corresponding associated metabolic networks. The novel lettuce metabolite library and novel non-targeted metabolomics strategy devised in this study could be used to further characterize metabolic variations between lettuce cultivars or other plants. Moreover, the findings of this study provide important insight into metabolic adaptations due to natural and human selection, which could stimulate further research to potentially improve lettuce quality, yield, and nutritional value.

Farnesoid X receptor (FXR) is a member of the nuclear receptor superfamily of ligand-activated transcription factors. As a metabolic regulator, FXR plays key roles in bile acid and cholesterol metabolism and lipid and glucose homeostasis. Therefore, FXR is a potential drug target for several metabolic syndromes, especially those related to lipidemia disorders. In the present study, we identified small molecule SIPI-7623, a derivative of an extract from Oriental wormwood (Artemisia capillaris), and found that it specifically upregulated the expression of cholesterol-7-alpha-hydroxylase (CYP7A1), downregulated the expression of sterol-regulatory element-binding protein 1c (SREBP-1c) in the liver, and inhibited the expression of ileal bile acid binding-protein (IBABP) in the ileum of rats. We found that inhibition of FXR by SIPI-7623 decreased the level of cholesterol and triglyceride. SIPI-7623 reduced the levels of cholesterol and triglyceride in in vitro HepG2 cell models, ameliorated diet-induced atherosclerosis, and decreased the serum lipid content on rats and rabbits model of atherosclerosis in vivo. Furthermore, SIPI-7623 decreased the extent of atherosclerotic lesions. Our resutls demonstrated that antagonism of the FXR pathway can be employed as a therapeutic strategy to treat metabolic diseases such as hyperlipidemia and atherosclerosis. In conclusion, SIPI-7623 could be a promising lead compound for development of drugs to treat hyperlipidemia and atherosclerosis.

Objective To study the pharmacokinetics of benvitimod in rats and porklings through HPLC.Methods The rat blood samples were taken from orbital venous plexus at different time points after subcutaneous injection of benvitimod in rats.The ethyl acetate was used for the extraction of benvitimod from biological samples (plasma and tissue).After topical use of benvitimod for porklings,the anterior vena cava blood samples and the skin samples were taken at different time points.The concentrations of benvitimod in biological samples were measured by HPLC method and the pharmacokinetics parameters were calculated by DAS.Results The pharmacokinetics profiles of benvitimod were best described by two compartment model.The main plasma pharmacokinetics parameters of benvitimod following the subcutaneous injection administration of 3,9,27 mg/kg in rats were as follows:t1/2α [(0.65±0.27),(0.78±0.13) and (0.53±0.26) h];t1/2β [(3.40±0.88),(3.80±0.62) and (4.70±0.41) h];Cmax [(84.89±13.76),(166.90±31.37),(385.20±98.68) ng/ml];AUC0-t [(243.20±34.01),(786.10±176.90),(2 677.00±255.10) ng/ml-h].The distribution of benvitimod in rats,following the subcutaneous injection administration of 9 mg/kg showed that benvitimod was mostly accumulated in thyroid gland,skin,liver,kidney,spleen and stomach etc.In porklings,the concentration of bentivimod was (104.17±13.36) μg/g in skin after 24 h of topical application.There was only minimally present in the plasma levels,which was lower than the detection limit of quantitation (5 ng/ml).Conclusion The HPLC method for bentivimod determination of biological samples is sensitive,stable and rapid,which is successfully used for the pharmacokinetics study.The plasma concentration of bentivimod is low after subcutaneous injection in rats.After topical use of bentivimod in porklings,the skin concentration can achieve the effective level.