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Traditional Chinese Medicine (TCM) has been extensively used to ameliorate diseases in Asia for over thousands of years. However, owing to a lack of formal scientific validation, the absence of information regarding the mechanisms underlying TCMs restricts their application. After oral administration, TCM herbal ingredients frequently are not directly absorbed by the host, but rather enter the intestine to be transformed by gut microbiota. The gut microbiota is a microbial community living in animal intestines, and functions to maintain host homeostasis and health. Increasing evidences indicate that TCM herbs closely affect gut microbiota composition, which is associated with the conversion of herbal components into active metabolites. These may significantly affect the therapeutic activity of TCMs. Microbiota analyses, in conjunction with modern multiomics platforms, can together identify novel functional metabolites and form the basis of future TCM research.

Prostate cancer is the third most common causes of death from cancer in men. Our previous study demonstrated that lncRNA PVT1 was overexpressed and played an oncogenic role in the progression of prostate cancer. However, the molecular mechanism of modulating the prostate cancer tumorigenesis was still unknown. In this study, we aim to investigate the interaction between PVT1 and miR‐146a in prostate cancer and reveal the potential mechanism in prostate cancer carcinogenesis. The expression level of miR‐146a was assessed by quantitative RT‐PCR. The correlation analysis and methylation status analysis was made to confirm the interaction between PVT1 and miR‐146a. Biological function analysis was performed through gain‐of‐function and loss‐of‐function strategies. Our results showed that miR‐146a was downregulated and negatively correlated with PVT1 level in prostate cancer. PVT1 mediated miR‐146a expression by inducing the methylation of CpG Island in its promoter. miR‐146a overexpression eliminated the effects of PVT1 knockdown on prostate cancer cells. PVT1 regulated prostate cancer cell viability and apoptosis depending on miR‐146a. Our study suggested a regulatory relationship between lncRNA PVT1 and miR‐146a during the process of the prostate cancer tumorigenesis. PVT1 regulated prostate cancer cell viability and apoptosis depending on miR‐146a. It would contribute to the diagnosis, treatment and prognosis of prostate cancer. Our study provided a fundamental explanation of the molecular mechanism of modulating the prostate cancer tumorigenesis. It would contribute to the diagnosis, treatment, and prognosis of prostate cancer.

Sorafenib is one a first‐line therapeutic drugs for advanced hepatocellular carcinoma (HCC). However, only 30% of patients benefit from sorafenib due to drug resistance. We and other groups have revealed that nuclear factor I B (NFIB) regulates liver regeneration and carcinogenesis, but its role in drug resistance is poorly known. We found that NFIB was more upregulated in sorafenib‐resistant SMMC‐7721 cells compared to parental cells. NFIB knockdown not only sensitized drug‐resistant cells to sorafenib but also inhibited the proliferation and invasion of these cells. Meanwhile, NFIB promoted the proliferation and invasion of HCC cells in vitro and facilitated tumor growth and metastasis in vivo. Knocking down NFIB synergetically inhibited tumor growth with sorafenib. Mechanically, gene expression profiling and subsequent verification experiments proved that NFIB could bind with the promoter region of a complex I inhibitor NDUFA4L2 and promote its transcription. Transcriptional upregulation of NDUFA4L2 by NFIB could thus inhibit the sorafenib‐induced reactive oxygen species accumulation. Finally, we found that NFIB was highly expressed in HCC tissues, and high NFIB expression level was associated with macrovascular invasion, advanced tumor stage, and poor prognosis of HCC patients (n = 156). In summary, we demonstrated that NFIB could transcriptionally upregulate NDUFA4L2 to enhance both intrinsic and acquired sorafenib resistance of HCC cells by reducing reactive oxygen species induction. NFIB could directly promote transcription of NDUFA4L2 to reduce sorafenib‐induced ROS accumulation. High NFIB expression was associated with poor prognosis of HCC patients.

Viburnum laterale Rehder is a poorly known shrub endemic to southeastern China that has remained taxonomically unresolved since its publication more than a century ago. The species was known only from a few historical collections that lacked critical characters, and no living populations had been documented for nearly a century. Here, we report the rediscovery of this taxon and clarify its taxonomic identity using an integrative approach combining morphological and molecular evidence. Observations of living plants reveal several previously undocumented reproductive traits, including inflorescences with conspicuous white sterile marginal flowers, as well as fruit and seed morphology. Comparative analyses of living material, type specimens, and protologues indicate that V. laterale is most similar to V. hanceanum Maximowicz, with V. laterale differing mainly in its nearly absent indumentum, longer peduncles, and more coarsely serrate leaf margins. Phylogenetic analyses based on chloroplast coding sequences, together with an expanded dataset comprising nuclear ribosomal internal transcribed spacer (nrITS) and three plastid markers (matK, ndhF, and rbcL), consistently place V. laterale within sect. Tomentosa (Maximowicz) Nakai, where it forms a strongly supported clade with V. hanceanum. Based on morphological and molecular evidence, V. laterale is transferred to sect. Tomentosa and treated as a variety of V. hanceanum, namely V. hanceanum var. depilatum M. Tang & L.C. Zhao. Our study resolves a long‐standing taxonomic problem and highlights the importance of rediscovering historically ambiguous taxa for accurate species delimitation in Viburnum. Viburnum laterale, a poorly known species endemic to southeastern China, is rediscovered after nearly a century and reassessed using integrated morphological observations and molecular phylogenetic analyses. Newly documented reproductive traits and multilocus phylogenies place this taxon within Viburnum sect. Tomentosa, where it forms a strongly supported clade with V. hanceanum. Based on combined evidence, V. laterale is reduced to varietal rank as V. hanceanum var. depilatum, resolving a long‐standing taxonomic uncertainty.

Accumulating evidence shows that the AMPK-mTOR pathway modulates autophagy via coordinated phosphorylation of ULK1. The aim of the present study was to investigate the relationship between AMPK, mTOR, and ULK1 during late exercise preconditioning (LEP), and to explore whether LEP-induced myocardial protection is related to the autophagy. The exercise preconditioning (EP) protocol was as follows: rats were instructed to for run four repeated in duration of 10 minutes (including 10 minutes rest between each period) on a treadmill. Exhaustive exercise (EE) after LEP pretreatment and administration of wortmannin (an autophagy inhibitor that suppresses Class III PI3K-kinase (PI3KC3) activity) were added to test the protective effect. Cardiac troponin I (cTnI), and transmission electron microscopy (TEM), along with hematoxylin-basic fuchsin-picric acid (HBFP) staining, were used to evaluate the myocardial ischemic-hypoxic injury and protection. Western blot was used to analyze the relationship of autophagy-associated proteins. Exhaustive exercise caused severe myocardial ischemic-hypoxic injury, which led to an increase in cTnI levels, changes of ischemia–hypoxia, and cells ultrastructure. Compared with the EE group, LEP significantly suppressed exhaustive exercise-induced myocardial injury. However, wortmannin attenuated LEP-induced myocardial protection by inhibiting autophagy. Compared with the C group, AMPK was increased in the LEP, EE, and LEP+EE groups, but phosphorylation of AMPK at Thr172 was not significantly changed. Exercise did not have any effect on mTOR expression. Compared with the C group, ULK1 was increased and the ULK1ser757/ULK1 ratio was decreased in the LEP and LEP+EE groups. ULK1 was not significantly affected in the EE group, however, phosphorylation of ULK1 at Ser757 was remarkably decreased. To sum up, our results suggested that LEP promoted autophagy through the activation of AMPK-mTOR-ULK1 pathway, and that activated autophagy was partially involved in myocardial protection against EE-induced myocardial ischemic-hypoxic injury.

We present photometric observations of the BL Lacertae object S5 0716+714 with a temporal resolution of 120 s in the Sloan i′ and r′ bands. These observations were conducted using the Comet Search Program telescope at Xingming Observatory from 2018 December 22 to 2020 February 15, and more than 5600 effective images were obtained on each filter across 79 nights. Additionally, we compiled long-term variability data spanning 34 yr in the optical UBVRI bands. Using the power-enhanced F-test and nested ANOVA test, we found intraday variability (IDV) on 31 nights and possible IDV on 20 nights in the i′ band. Similarly, IDV was detected on 35 nights in the r′ band, while possible IDV was observed on 22 nights. The minimum variability timescale is 7.33 ± 0.74 minutes, and the estimated black hole masses are (0.68 ∼ 5.12) × 108M⊙. The spectral variability and long-term optical light curves reveal a bluer-when-brighter trend on intraday timescales. The long-term optical flux density and spectral index exhibit periodic variability with a timescale of about 1038 days. An anticorrelation between optical flux and spectral index was observed, with a time delay of −140 days. Variability across different optical bands exhibited a strong correlation, with no discernible time lag. From the IDV, spectral variability, correlation, and time delays between different bands, we conclude that these radiation characteristics may result from the shock-in-jet model scenario.

Background Inadequate preoperative management of chronic medications can place perioperative patients at risk and cause unnecessary delays in surgical procedures. This study aims to investigate the prevalence of chronic medication therapy problems (CMTPs) in hospitalized perioperative patients and assess the relevance of pharmacists’ interventions. Methods We conducted a retrospective study of pharmacist-led preoperative management of chronic medications in hospitalized adult patients from November 2018 to April 2019. The recorded drug-related problems (DRPs) were retrospectively reviewed and categorized according to the Pharmaceutical Care Network Europe classification V9.1 and were analyzed with a multinomial regression model to identify risk factors. Results A total of 254 DRPs were recorded, with an average of 0.52 DRPs per patient. Treatment safety (66.9%) was the most common DRP. The most frequent causes of perioperative DRPs and nonperioperative DRPs were drug selection (72.9%) and patient related (50.8%), respectively. Of the 292 documented interventions, 71.6% were fully accepted by the clinicians and patients. The majority (68.9%) of the recorded problems were completely resolved. The number of comorbidities (OR = 3.815) and the number of chronic medications taken (OR = 1.539) were risk factors for the occurrence of DRPs. Conclusion The findings of this study suggest that pharmacist-led chronic medication therapy management in surgical wards may be an effective method to help reduce medication-related surgical risks and optimize the medication therapies used for the long-term treatment of chronic diseases.

Chemically modified graphite is an economical material with promising applications in its own right or as an intermediate in the synthesis of graphene. However, because of its extreme chemical inertness, to date only two methods—oxidation and fluorination—have been found which can modify graphite with high yield and large throughput. Herein, we describe a third chemical approach for the synthesis of large quantities of highly modified graphite which uses a microwave-sparks-assisted halogenation reaction. The resulting graphite halide can easily be exfoliated into monolayer graphene in organic solvents. The structure and electronic properties of the original graphene can be recovered after thermal annealing of the graphene halide. Furthermore, the graphene halide can be further modified by a variety of organic functional groups. Solution-processed field-effect transistors based on the graphene halides resulted in device performances were comparable to, or even better than, that of graphene oxide.

Treated sewage sludge (or biosolid) is a suitable alternative substrate for use in turf production, but the potential of this resource remains to be explored in higher value-added field. In this study, the negative effects of sludge compost and biochar-amended sludge compost amendment on the qualitative performance of sports-field turf, including vegetation stolon index, grade for turf, and sports performance index, were investigated. It was found that sludge compost and biochar-amended sludge compost amendment induced a significant increase in organic matter, total nitrogen, total potassium, and electrical conductivity. In addition, biochar-amended sludge compost also resulted in a significant increase in turf chlorophyll content and the rate of turf weed emergence. Interestingly, electrical conductivity explained 55.4% of the qualitative changes, and electrical conductivity and pH together explained 68% of the qualitative changes. In summary, salinity was the main factor responsible for the negative effect of sludge compost amendment on qualitative performance of sports-field turf.

Applying machine learning technology to automatic image analysis and auxiliary diagnosis of whole slide image (WSI) may help to improve the efficiency, objectivity, and consistency of pathological diagnosis. Due to its extremely high resolution, it is still a great challenge to directly process WSI through deep neural networks. In this paper, we propose a novel model for the task of classification of WSIs. The model is composed of two parts. The first part is a self-supervised encoding network with a UNet-like architecture. Each patch from a WSI is encoded as a compressed latent representation. These features are placed according to their corresponding patch’s original location in WSI, forming a feature cube. The second part is a classification network fused by 4 famous network blocks with heterogeneous architectures, with feature cube as input. Our model effectively expresses the feature and preserves location information of each patch. The fused network integrates heterogeneous features generated by different networks which yields robust classification results. The model is evaluated on two public datasets with comparison to baseline models. The evaluation results show the effectiveness of the proposed model.