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Sepsis-Associated Liver Injury (SALI) is an independent risk factor for death from sepsis. The aim of this study was to develop an interpretable machine learning model for early prediction of 28-day mortality in patients with SALI. Data from the Medical Information Mart for Intensive Care (MIMIC-IV, v2.2, MIMIC-III, v1.4) were used in this study. The study cohort from MIMIC-IV was randomized to the training set (0.7) and the internal validation set (0.3), with MIMIC-III (2001 to 2008) as external validation. The features with more than 20% missing values were deleted and the remaining features were multiple interpolated. Lasso-CV that lasso linear model with iterative fitting along a regularization path in which the best model is selected by cross-validation was used to select important features for model development. Eight machine learning models including Random Forest (RF), Logistic Regression, Decision Tree, Extreme Gradient Boost (XGBoost), K Nearest Neighbor, Support Vector Machine, Generalized Linear Models in which the best model is selected by cross-validation (CV_glmnet), and Linear Discriminant Analysis (LDA) were developed. Shapley additive interpretation (SHAP) was used to improve the interpretability of the optimal model. At last, a total of 1043 patients were included, of whom 710 were from MIMIC-IV and 333 from MIMIC-III. Twenty-four clinically relevant parameters were selected for model construction. For the prediction of 28-day mortality of SALI in the internal validation set, the area under the curve (AUC (95% CI)) of RF was 0.79 (95% CI: 0.73–0.86), and which performed the best. Compared with the traditional disease severity scores including Oxford Acute Severity of Illness Score (OASIS), Sequential Organ Failure Assessment (SOFA), Simplified Acute Physiology Score II (SAPS II), Logistic Organ Dysfunction Score (LODS), Systemic Inflammatory Response Syndrome (SIRS), and Acute Physiology Score III (APS III), RF also had the best performance. SHAP analysis found that Urine output, Charlson Comorbidity Index (CCI), minimal Glasgow Coma Scale (GCS_min), blood urea nitrogen (BUN) and admission_age were the five most important features affecting RF model. Therefore, RF has good predictive ability for 28-day mortality prediction in SALI. Urine output, CCI, GCS_min, BUN and age at admission(admission_age) within 24 h after intensive care unit(ICU) admission contribute significantly to model prediction. [ABSTRACT FROM AUTHOR]

This Research proposes an intelligent pruning method based on the improved Mask R-CNN (Mask Region-based Convolutional Neural Network) model to address the shortcomings of intelligent pruning technology for Sichuan pepper trees. Utilizing ResNeXt-50 as the backbone network, the algorithm optimizes the anchor boxes in the RPN (Region Proposal Network) layer to adapt to the complex morphology of pepper tree branches, thereby enhancing target detection and segmentation performance. Further reducing the quantization error of the RoI (Region of Interest) Align layer through bilinear interpolation, the algorithm innovatively introduces edge loss (Ledge) into the loss function to address the issue of blurred edge features caused by the overlap between retained and pruned branches. Experimental results demonstrate the outstanding performance of the improved Mask R-CNN model in segmenting and identifying pepper tree branches, achieving recognition accuracies of 92.2%, 96.3%, and 85.6% for Upright branches, Centripetal branches, and Competitive branches, respectively, while elevating the recognition accuracy of retained branches to 94.4%. Compared to the original Mask R-CNN, the enhanced model exhibits a 6.7% increase in the recognition rate of retained branches and a decrease of 0.12 in loss value, significantly enhancing recognition effectiveness. The research findings not only provide an effective tool for the precise pruning of pepper trees but also offer valuable insights for implementing intelligent pruning strategies for other fruit trees. [ABSTRACT FROM AUTHOR]

Sanguinarine (SAG) is the most abundant constituent of Macleaya cordata (Willd.) R. Br. (Popaceae). SAG has shown antimammary and colorectal metastatic effects in mice in vivo, suggesting its potential for cancer chemotherapy. To determine the antimetastatic effect and underlying molecular mechanisms of SAG on melanoma. CCK8 assay was used to determine the inhibition of SAG on the proliferation of A375 and A2058 cells. Network pharmacology analysis was applied to construct a compound-target network and select potential therapeutic targets of SAG against melanoma. Molecular docking simulation was conducted for further analysis of the selected targets. In vitro migration/invasion/western blot assay with 1, 1.5, 2 μM SAG and in vivo effect of 2, 4, 8 mg/kg SAG in xenotransplantation model in nude mice. The key targets of SAG treatment for melanoma were mainly enriched in PI3K-AKT pathway, and the binding energy of SAG to PI3K, AKT, and mTOR were −6.33, −6.31, and −6.07 kcal/mol, respectively. SAG treatment inhibited the proliferation, migration, and invasion ability of A375 and A2058 cells (p < 0.05) with IC50 values of 2.378 μM and 2.719 μM, respectively. It also decreased the phosphorylation levels of FAK, PI3K, AKT, mTOR and protein expression levels of MMP2 and ICAM-2. In the nude mouse xenograft model, 2, 4, 8 mg/kg SAG was shown to be effective in inhibiting tumour growth. Our research offered a theoretical foundation for the clinical antitumor properties of SAG, further suggesting its potential application in the clinic. [ABSTRACT FROM AUTHOR]

Pentagalloyl glucose (PGG) is a natural hydrolyzable gallotannin abundant in various plants and herbs. It has a broad range of biological activities, specifically anticancer activities, and numerous molecular targets. Despite multiple studies available on the pharmacological action of PGG, the molecular mechanisms underlying the anticancer effects of PGG are unclear. Here, we have critically reviewed the natural sources of PGG, its anticancer properties, and underlying mechanisms of action. We found that multiple natural sources of PGG are available, and the existing production technology is sufficient to produce large quantities of the required product. Three plants (or their parts) with maximum PGG content were Rhus chinensis Mill, Bouea macrophylla seed, and Mangifera indica kernel. PGG acts on multiple molecular targets and signaling pathways associated with the hallmarks of cancer to inhibit growth, angiogenesis, and metastasis of several cancers. Moreover, PGG can enhance the efficacy of chemotherapy and radiotherapy by modulating various cancer-associated pathways. Therefore, PGG can be used for treating different human cancers; nevertheless, the data on the pharmacokinetics and safety profile of PGG are limited, and further studies are essential to define the clinical use of PGG in cancer therapies. [ABSTRACT FROM AUTHOR]

Self-adaptability is highly envisioned for artificial devices such as robots with chemical noses. For this goal, seeking catalysts with multiple and modulable reaction pathways is promising but generally hampered by inconsistent reaction conditions and negative internal interferences. Herein, we report an adaptable graphitic C6N6-based copper single-atom catalyst. It drives the basic oxidation of peroxidase substrates by a bound copper-oxo pathway, and undertakes a second gain reaction triggered by light via a free hydroxyl radical pathway. Such multiformity of reactive oxygen-related intermediates for the same oxidation reaction makes the reaction conditions capable to be the same. Moreover, the unique topological structure of CuSAC6N6 along with the specialized donor-π-acceptor linker promotes intramolecular charge separation and migration, thus inhibiting negative interferences of the above two reaction pathways. As a result, a sound basic activity and a superb gain of up to 3.6 times under household lights are observed, superior to that of the controls, including peroxidase-like catalysts, photocatalysts, or their mixtures. CuSAC6N6 is further applied to a glucose biosensor, which can intelligently switch sensitivity and linear detection range in vitro. Catalysts with multiple and modulable reaction pathways are promising but generally hampered by inconsistent reaction conditions and negative internal interferences. Herein, the authors report an adaptable graphitic C6N6-based copper singleatom catalyst [ABSTRACT FROM AUTHOR]

During the past decade, the rapid construction of rail transit in developing countries has had a great impact on bus transport, resulting in the waste of public transport resources and ineffective competition between bus and rail transit. Therefore, it is particularly important to explore ways to promote the integrated development of bus and rail transit by combining both the effects of the built environment and their competition. Using Wuhan city in China as a case study, this study develops gradient boosting decision trees (GBDTs) to examine the quantified threshold range of the built environment impacts on bus transit trip rates and to further explore the competitive impacts of rail transit on bus transit within these threshold ranges. The threshold range results show that when the number of service point of interests (POIs) within a 500-m radius of the bus stop reaches 350 and the distance to the destination is 5 km, the model split of bus transit is the highest. The competition impact analysis shows that rail transit promotes bus transit trip rates in urban fringe areas and locations, including a high proportion of 3- to 5-km middle-distance trips, but restricts bus transit trip rates in high-density central areas and the regions dominated by short-distance trips of less than 3 km or long-distance trips of more than 5 km. Strategies are proposed to optimize land use and the layout of bus and rail transit stations to mitigate ineffective competition and improve the efficiency of public transit to provide theoretical and technical support for optimizing urban spatial layouts through transit-oriented development. [ABSTRACT FROM AUTHOR]

Average nucleotide identity (ANI) is a prominent approach for rapidly classifying archaea and bacteria by recruiting both whole genomic sequences and draft assemblies. To evaluate the feasibility of ANI in virus taxon demarcation, 685 poxviruses were assessed. Prior to the analysis, the fragment length and threshold of the ANI value were optimized as 200 bp and 98 per cent, respectively. After ANI analysis and network visualization, the resulting sixty-one species (ANI species rank) were clustered and largely consistent with the groupings found in National Center for Biotechnology Information Virus [within the International Committee on Taxonomy of Viruses (ICTV) Master Species List]. The species identities of thirty-four other poxviruses (excluded by the ICTV Master Species List) were also identified. Subsequent phylogenetic analysis and Guanine-Cytosine (GC) content comparison done were found to support the ANI analysis. Finally, the BLAST identity of concatenated sequences from previously identified core genes showed 91.8 per cent congruence with ANI analysis at the species rank, thus showing potential as a marker gene for poxviruses classification. Collectively, our results reveal that the ANI analysis may serve as a novel and efficient method for poxviruses demarcation. [ABSTRACT FROM AUTHOR]

The role of the gut microbiome has been a hot topic in recent years. One aim of this review is to shed light on the crosstalk between sex hormones and the gut microbiome. Researchers have observed a sex bias of the composition of the gut microbiome in mice and have proved that sex differences influence the composition of the gut microbiome, although the influence is usually obscured by genetic variations. Via cell studies, animal studies and some observational studies in humans, researchers have confirmed that the gut microbiome can be shaped by the hormonal environment. On other hand, some theories suggest that the gut microbiota regulates the levels of sex hormones via interactions among its metabolites, the immune system, chronic inflammation and some nerve-endocrine axes, such as the gut-brain axis. In addition, bidirectional interactions between the microbiome and the hormonal system have also been observed, and the mechanisms of these interactions are being explored. We further describe the role of the gut microbiome in sex hormone-related diseases, such as ovarian cancer, postmenopausal osteoporosis (PMOP), polycystic ovary syndrome and type 1 diabetes. Among these diseases, PMOP is described in detail. Finally, we discuss the treatments of these diseases and the application prospects of microbial intervention. [ABSTRACT FROM AUTHOR]

Intestinal metaplasia refers to the replacement of the differentiated and mature normal mucosal epithelium outside the intestinal tract by the intestinal epithelium. This paper briefly describes the etiology and clinical significance of intestinal metaplasia in Barrett's esophagus. This article summarizes the impact of intestinal metaplasia on the diagnosis, monitoring, and treatment of Barrett's esophagus according to different guidelines. We also briefly explore the basis for the endoscopic diagnosis of intestinal metaplasia in Barrett's esophagus. The identification techniques of goblet cells in Barrett's esophagus are also elucidated by some scholars. Additionally, we further elaborate on the current treatment methods related to Barrett's esophagus. [ABSTRACT FROM AUTHOR]

Numerous types of molecular mechanisms mediate the development of cancer. Non-coding RNAs (ncRNAs) are being increasingly recognized to play important role in mediating the development of diseases, including cancer. Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are the two most widely studied ncRNAs. Thus far, lncRNAs are known to have biological roles through a variety of mechanisms, including genetic imprinting, chromatin remodeling, cell cycle control, splicing regulation, mRNA decay and translational regulation, and miRNAs regulate gene expression through the degradation of mRNAs and lncRNAs. Although ncRNAs account for a major proportion of the total RNA, the mechanisms underlying the physiological or pathological processes mediated by various types of ncRNAs, and the specific interaction mechanisms between miRNAs and lncRNAs in various physiological and pathological processes, remain largely unknown. Thus, further research in this field is required. In general, the interaction mechanisms between miRNAs and lncRNAs in human cancer have become important research topics, and the study thereof has led to the recent development of related technologies. By providing examples and descriptions, and performing chart analysis, the present study aimed to review the interaction mechanisms and research approaches for these two types of ncRNAs, as well as their roles in the occurrence and development of cancer. These details have far-reaching significance for the utilization of these molecules in the diagnosis and treatment of cancer. [ABSTRACT FROM AUTHOR]

A translated version of the original Chinese article "Why Study Chinese Architecture?," by Liang Sicheng, which appeared within the volume 7, number 1, October 1944 issue of the journal "Zhongguo yingzao xueshe huikan (Bulletin of the Society for Research in Chinese Architecture," is presented. The impact that Western civilization has on China, including on Chinese arts, painting, music, calligraphy and architecture, is discussed. The relationship between Chinese architecture and Chinese cultural history are also discussed.

Abstract 1. Human exposure to magnolol can reach a high dose in daily life. Our previous studies indicated that magnolol showed high affinities to several UDP-glucuronosyltransferases (UGTs) This study was designed to examine the in vitro inhibitory effects of magnolol on UGTs, and further to evaluate the possibility of the in vivo inhibition that might happen. 2. Assays with recombinant UGTs and human liver microsomes (HLM) indicated that magnolol (10 μM) can selectively inhibit activities of UGT1A9 and extra-hepatic UGT1A7. Inhibition of magnolol on UGT1A7 followed competitive inhibition mechanism, while the inhibition on UGT1A9 obeyed either competitive or mixed inhibition mechanism, depending on substrates. The Ki values for UGT1A7 and 1A9 are all in nanomolar ranges, lower than possible magnolol concentrations in human gut lumen and blood, indicating the in vivo inhibition on these two enzymes would likely occur. 3. In conclusion, UGT1A7 and 1A9 can be strongly inhibited by magnolol, raising the alarm for safe application of magnolol and traditional Chinese medicines containing magnolol. Additionally, given that UGT1A7 is an extrahepatic enzyme, magnolol can serve as a selective UGT1A9 inhibitor that will act as a new useful tool in future hepatic glucuronidation phenotyping. [ABSTRACT FROM AUTHOR]

This study aimed to develop a novel and practical fluorescent method for GSH detection in complex biological samples. To this end, a series of coumarin-based fluorescent probes was designed and synthesized using various aliphatic halogens as the sensing group. By using a new evaluation method of GSH/Cys/Hcy coexisting conditions, the probe with chloropropionate (CBF3) showed a high selectivity, excellent sensitivity, good stability for GSH detection. The reaction mechanism is proposed as nucleophilic substitution/cyclization and intramolecular charge transfer (ICT), which was confirmed by LC-MS and NMR analysis, as well as density functional theory calculations. In addition, CBF3 was demonstrated to be competent not only for the quantitative detection of GSH in real serum samples, but also for sensing GSH changes in different oxidative stress models in living cells and nematodes. This study showed a practical strategy for constructing GSH-specific fluorescent probes, and provided a sensitive tool for real-time sensing of GSH in real biological samples. The findings would greatly facilitate further investigations on GSH-associated clinical diagnosis and biomedical studies. Image 1 • A novel SN 2 -triggered and ICT-based fluorescent probe was developed for sensing GSH. • The reaction mechanism was confirmed by experimental and theoretical investigations. • The probe selectively responded to GSH in the GSH/Cys/Hcy coexisting conditions. • The probe exhibited a low detection limit of 9.2 nM. • The probe could monitor GSH in real serum sample, and in living cells and nematodes. [ABSTRACT FROM AUTHOR]

A novel two-photon pH probe, 3-benzimidazole-7-hydroxycoumarin (BHC), was designed and synthesized based on the structures of hydroxycoumarin and benzimidazole. BHC showed good linearity in the pH ranges of 3.30–5.40 (pKa = 4.20) and 6.50–8.30 (pKa = 7.20) at a maximum emission wavelength of 480 nm. BHC in acidic and alkaline media could be distinguished by an obvious spectral shift of the maximum absorption wavelength from 390 nm to 420 nm. In addition, BHC was well localized to mitochondria and successfully applied to one-photon and two-photon imaging of pH changes in the mitochondria of HeLa cells. The findings presented herein suggest that BHC can serve as an excellent fluorescent probe for selectively sensing mitochondrial pH changes with remarkable photostability and low cytotoxicity. Unlabelled Image • A new fluorescent probe for one- and two-photon sensing of pH was developed. • The probe responded sensitively and selectively to pH changes within 3.0–6.0 (pKa = 4.20) and 6.0–9.0 (pKa = 7.20). • The probe was successfully applied for monitoring and imaging of mitochondrial pH in living cells. [ABSTRACT FROM AUTHOR]

Compared with coumarin, 7-hydroxycoumarin could serve as a better hit for developing CYP2A6 inhibitors. In this study, a series of 7-hydroxycoumarin and its structural analogues were collected to study their structure-activity relationship (SAR) and isoform selectivity for inhibiting CYP2A6. All tested coumarins except a C4 phenyl derivative (11) showed higher inhibitory activities for CYP2A6 over the other CYP isoforms, including CYP1A2, CYP2D6, CYP2E1, CYP3A4, CYP2C8, and CYP2C9. Of these coumarins, 6,7-dihydroxycoumarin (1) and 7,8-dihydroxycoumarin (9) were found to be potent inhibitors of CYP2A6 with IC 50 / K i value of 0.39/0.25 and 4.61/3.02 μM, respectively, compared to methoxalen as positive control (IC 50 / K i = 0.43/0.26 μM). In contrast, other coumarins showed low or decreased CYP2A6-inhibiting activities. SAR analysis showed that hydroxy groups might be important for CYP2A6 inhibition, and the rank order of sites for hydroxy substitution was C6 > C7 > C8. In addition, either hydrophobic or hydrophilic substituents introduced into C4, C6 and C8 led to a reduction in CYP2A6-inhibiting activity, and the degree of influence was dependent on the size and electrical charge of substituents. Furthermore, inhibition kinetic analysis and docking simulations demonstrated that the 8- O -glucosylated coumarin derivative (17) exhibited noncompetitive inhibition against CYP2A6, while competitive inhibition patterns were noted for the other tested coumarins. The mechanisms underlying the inhibitors binding to CYP2A6 were further investigated by molecular docking study. The findings presented herein are very helpful for developing highly selective and more potent CYP2A6 inhibitors. Unlabelled Image [ABSTRACT FROM AUTHOR]

Driven by the essential need of a green, safe, and low-cost approach to producing H 2 O 2 , a highly valuable multifunctional chemical, artificial photosynthesis emerges as a promising avenue. However, current catalyst systems remain challenging, due to the need of high-density sunlight, poor selectivity and activity, or/and unfavorable thermodynamics. Here, we reported that an indirect 2e - water oxidation reaction (WOR) in photocatalytic H 2 O 2 production was unusually activated by C 5 N 2 with piezoelectric effects. Interestingly, under ultrasonication, C 5 N 2 exhibited an overall H 2 O 2 photosynthesis rate of 918.4 μM/h and an exceptionally high solar-to-chemical conversion efficiency of 2.6% after calibration under weak light (0.1 sun). Mechanism studies showed that the piezoelectric effect of carbon nitride overcame the high uphill thermodynamics of *OH intermediate generation, which enabled a new pathway for 2e - WOR, the kinetic limiting step in the overall H 2 O 2 production from H 2 O and O 2 . Benefiting from the outstanding sonication-assisted photocatalytic H 2 O 2 generation under weak light, the concept was further successfully adapted to biomedical applications in efficient sono-photochemodynamic therapy for cancer treatment and water purification.

Background: Irinotecan is widely used in the treatment of various solid tumors, but the adverse effects from it, especially diarrhea, limit its use. Several clinical trials of prophylactic treatment of irinotecan-induced diarrhea (IID) have been ongoing, and some of the data are controversial. This encouraged us to conduct a meta-analysis of the effects of interventions on preventing IID., Method: This systematic review was conducted based on the PRISMA statement. We performed literature searches from PubMed, Web of Science, Embase, and Cochrane Library. The number registered in PROSPERO is CRD42022368633. After searching 1034 articles in the database and references, 8 studies were included in this meta-analysis., Result: The RR of high-grade diarrhea and all-grade diarrhea were 0.31 ( I 2  = 51%, 95% CI: 0.14-0.69; P  = .004) and .76 ( I 2  = 65%, 95% CI: 0.62-0.93; P  < .008) respectively, thus the use of intervention measures for preventing IID is effective, and the risk reduction of high-grade diarrhea was more significant. Subgroup analysis revealed that the monotherapy group (RR: 0.48, 95% CI: 0.21-1.13, I 2  = 0%) and combination therapy group (RR: 0.14, 95% CI: 0.06-0.32, I 2  = 0%) in the risk of high-grade diarrhea had no significant heterogeneity within the groups, and traditional herbal medicines (Kampo medicine Hangeshashin-to, PHY906 and hot ironing with Moxa Salt Packet on Tianshu and Shangjuxu) were effective preventive measures (RR:0.20, 95% CI: 0.07-0.60, I 2  = 0%). The Jadad scores for traditional herbal medicines studies were 3, and the follow-up duration was only 2 to 6 weeks., Conclusion: This systematic review and meta-analysis suggest that preventive treatments significantly reduced the risk of high-grade and all-grade diarrhea, confirming the efficacy in the incidence and severity of IID, among which traditional herbal medicines (baicalin-containing) provided a protective effect in reducing the severity of IID. However, the traditional herbal medicines studies were of low quality. Combined irinotecan therapy can obtain better preventive effects than monotherapy of IID. These would be helpful for the prevention of IID in clinical practice., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Gastric cancer is one of the most serious malignant tumor and threatens the health of people worldwide. Its heterogeneity leaves many clinical problems unsolved. To treat it effectively, we need to explore its heterogeneity. Single-cell transcriptome sequencing, or single-cell RNA sequencing (scRNA-seq), reveals the complex biological composition and molecular characteristics of gastric cancer at the level of individual cells, which provides a new perspective for understanding the heterogeneity of gastric cancer. In this review, we first introduce the current procedure of scRNA-seq, and discuss the advantages and limitations of scRNA-seq. We then elaborate on the research carried out with scRNA-seq in gastric cancer in recent years, and describe how it reveals cell heterogeneity, the tumor microenvironment, oncogenesis and metastasis, as well as drug response in to gastric cancer, to facilitate early diagnosis, individualized therapy, and prognosis evaluation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Deng, Zhang, Chen, Liang, Liu, Yu and Lü.)

The members of the Poxviridae family are globally distributed all over the world and can cause infectious diseases. Although genome sequences are publicly available for representative isolates of all genera, studies on the criteria for genome-based classification within the Poxviridae family have rarely been reported. In our study, 60 Poxviridae genomes were re-annotated using Prokka. By using BLAST filtration and MCScanX, synteny and similarity of whole genomic amino acid sequences were visualized. According to the analysis pattern, the Chordopoxvirinae and Entomopoxvirinae subfamilies can be subdivided into five and two categories respectively, which is consistent with the phylogenetic tree constructed based on whole genomic amino acid sequences and Poxvirus core genes. Finally, four genes (Early transcription factor, DNA-directed RNA polymerase, RNA polymerase-associated transcription-specificity factor and DNA-dependent RNA polymerase) were selected from Poxvirus core genes by substitution saturation analysis and phylogenetic tree verification. Phylogenetic trees constructed based on single gene and concatenated sequences of the four selected genes showed that the classification of subgroups was consistent with the phylogenetic trees based on genome. Conclusion: a new method based on the similarity of whole genomic amino acid sequences was proposed for Poxviridae taxon demarcation, and the use of the four selected qualified genes will help make phylogenic identification of newly discovered Poxviridae isolates more convenient and accurate., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Authors.)

Metabolism is defined as the biochemical processes that produce or consume energy in living organisms. Otto Warburg suggested that cancer is a metabolic disease, thus metabolic reprogramming is widely considered as an emerging hallmark of cancer cells. Long non‑coding RNAs (lncRNAs), which are defined as transcripts >200 nucleotides with limited protein coding potential, are involved in cancer metabolism. lncRNAs can control pathophysiological processes of cancer by regulating gene expression at epigenetic, transcriptional and post‑transcriptional levels. The process of tumorigenesis is usually accompanied by alterations in metabolic patterns, involving glycolysis, the tricarboxylic acid cycle, mitochondrial oxidative phosphorylation, the pentose phosphate signaling pathway, glutamine metabolism and lipid metabolism, which is also known as metabolic reprogramming. The present review summarized the functions of lncRNAs in cancer metabolism and discussed how the dysregulation of lncRNAs contributed to metabolic reprogramming and tumorigenesis, which may provide novel therapeutic targets for cancer.

Magnolol, a major active constituent in herbal medicine, potently inhibits propofol glucuronidation in human liver microsomes, with inhibition constants in the nanomolar range. This study was conducted to investigate magnolol-induced inhibition of propofol glucuronidation in liver microsomes from Swiss-Hauschka mice, Sprague-Dawley rats, Chinese Bama pigs, and cynomolgus macaques. Results indicated that magnolol (10 μM) inhibited propofol glucuronidation in liver microsomes from Bama pigs and cynomolgus macaques but not in those from mice or rats. Data from liver microsomes from Bama pigs indicated a competitive inhibition mechanism, with a Ki of 1.7 μM. In contrast to that of pig liver microsomes, the inhibition of microsomes from cynomolgus macaques followed a noncompetitive mechanism, with a Ki of 3.4 μM. In summary, this study indicates that magnolol-induced inhibition of propofol glucuronidation varies substantially among species, and the Ki values determined by using liver microsomes from various experimental animal species far exceed that for human liver microsomes. The inhibition of propofol glucuronidation by magnolol in liver microsomes from all animal species tested was significantly lower than the inhibition previously demonstrated in human liver microsomes. Hepatic microsomes from Swiss-Hauschka mice, Sprague-Dawley rats, Chinese Bama pigs, and cynomolgus macaques are not effective models of the inhibition of glucuronidation induced by magnolol in humans.

Magnolol is a food additive that is often found in mints and gums. Human exposure to this compound can reach a high dose; thus, characterization of magnolol disposition in humans is very important. Previous studies indicated that magnolol can undergo extensive glucuronidation in humans in vivo. In this study, in vitro assays were used to characterize the glucuronidation pathway in human liver and intestine. Assays with recombinant human UDP-glucuronosyltransferase enzymes (UGTs) revealed that multiple UGT isoforms were involved in magnolol glucuronidation, including UGT1A1, -1A3, -1A7, -1A8, -1A9, -1A10, and -2B7. Magnolol glucuronidation by human liver microsomes (HLM), human intestine microsomes (HIM), and most recombinant UGTs exhibited strong substrate inhibition kinetics. The degree of substrate inhibition was relatively low in the case of UGT1A10, whereas the reaction catalyzed by UGT1A9 followed biphasic kinetics. Chemical inhibition studies and the relative activity factor (RAF) approach were used to identify the individual UGTs that played important roles in magnolol glucuronidation in HLM and HIM. The results indicate that UGT2B7 is mainly responsible for the reaction in HLM, whereas UGT2B7 and UGT1A10 are significant contributors in HIM. In summary, the current study clarifies the glucuronidation pathway of magnolol and demonstrates that the RAF approach can be used as an efficient method for deciphering the roles of individual UGTs in a given glucuronidation pathway in the native tissue that is catalyzed by multiple isoforms with variable and atypical kinetics.