Based on the long bud stage phenotype of a new Lonicera japonica Flos variety "Huajin 6", using "Huajin 6" and "Da Mao Hua" as materials, probing the mechanism of its phenotype formation. Detection of endogenous Jasmonic acid hormones (JAs) content; the genes related to jasmonic acid (JA) synthesis were identified by transcriptome analysis of Lonicera japonica; flower buds and flowers of "Huajin 6" and "Da Mao Hua" were collected at different periods, and the qRT-PCR (quantitative real-time PCR) technique was used to analyze the trend of the expression of synthesis-related enzyme genes in Lonicera japonica Flos during the bud stage. The study found that the content of JAs in "Huajin 6" Lonicera japonica Flos was significantly lower than that in "Da Mao Hua"; applying exogenous methyl-jasmonate (MeJA) to "Huajin 6" can restore its flowering phenotype, making it close to wild type Lonicera japonica Flos; there are significant differences in the expression of two allene oxide synthase genes (AOS), three lipoxygenase genes (LOX), and two allene oxide cyclase genes (AOC) in the flowers and buds of "Huajin 6" and "Da Mao Hua" at different periods. It is hypothesized that the low expression of JA synthesis-related enzyme genes in " Huajin 6" leads to the blockage of JA synthesis, which causes the formation of the long bud phenotype. This study laid a certain foundation for the genetic breeding of Lonicera japonica, provided a new idea for the improvement of Lonicera japonica varieties, and provided a reference for the study of JAs in plant flower organs.

Polymyxin B, which is a last-line antibiotic for extensively drug-resistant Gram-negative bacterial infections, became available in China in Dec. 2017. As dose adjustments are based solely on clinical experience of risk toxicity, treatment failure, and emergence of resistance, there is an urgent clinical need to perform therapeutic drug monitoring (TDM) to optimize the use of polymyxin B. It is thus necessary to standardize operating procedures to ensure the accuracy of TDM and provide evidence for their rational use. We report a consensus on TDM guidelines for polymyxin B, as endorsed by the Infection and Chemotherapy Committee of the Shanghai Medical Association and the Therapeutic Drug Monitoring Committee of the Chinese Pharmacological Society. The consensus panel was composed of clinicians, pharmacists, and microbiologists from different provinces in China and Australia who made recommendations regarding target concentrations, sample collection, reporting, and explanation of TDM results. The guidelines provide the first-ever consensus on conducting TDM of polymyxin B, and are intended to guide optimal clinical use.
Humans ; Anti-Bacterial Agents/therapeutic use* ; China ; Drug Monitoring/methods* ; Polymyxin B ; Practice Guidelines as Topic

Aim To explore the protective effect of Zishen Huoxue Prescription on OGD/R-induced primary hippocampal neuron damage in rats and the possible mechanism. Methods After the isolated primary hippocampal neurons were identified by immunofluorescence, OGD/R induced neuronal damage, and the changes of autophagic flux at different re-oxygenation time were observed by confocal laser scanning microscopy. After OGD/R-induced primary hippocampal neurons were intervened with serum containing Zishen Huoxue Prescription, cell viability was detected by CCK-8, cell apoptosis was detected by flow cytometry, autophagosomes were detected by transmission electron microscopy, and autophagy-related protein expressions were detected by Western blot. Results 10% Zishen Huoxue Prescription-containing serum could significantly improve cell viability and reduce the proportion of cell apoptosis, increase the number of autophagosomes in neurons, and up-regulate the expression of autophagy-related protein PINK1, Parkin, and pATG16L1. Conclusions Zishen Huoxue Prescription can effectively resist OGD/R-induced apoptosis of primary hippocampal neurons in rats, and its effect may be related to the regulation of PINK1-Parkin pathway to promote mitophagy.

It has become a common consensus that resource conservation and intensive recycling for improving resource utilization efficiency is an important way to achieve carbon peak and carbon neutrality(dual carbon). Traditonal Chinese medicine(TCM)resources as national strategic resources are the material basis and fundamental guarantee for the development of TCM industry and health services. However, the rapid growth of China's TCM industry and the continuous expansion and extension of the industrial chain have exposed the low efficiency of TCM resources. Resource waste and environmental pollution caused by the treatment and discharge of TCM waste have emerged as major problems faced by the development of the industry, which has aroused wide concern. Considering the dual carbon goals, this paper expounds the role and potential of TCM resource recycling and circular economy industry development. Taking the typical model of TCM resource recycling as the case of circular economy industry in reducing carbon source and increasing carbon sink, this paper puts forward the suggestions for the TCM circular economy industry serving the double carbon goals. The suggestions mainly include strengthening the policy and strategic leading role of the double carbon goals, building an objective evaluation system of low-carbon emission reduction in the whole industrial chain of TCM resources, building an industrial demonstration park for the recycling of TCM resources, and promoting the establishment of a circular economy system of the whole industrial chain of TCM resources. These measures are expected to guide the green transformation of TCM resource industry from linear economic model to circular economy model, provide support for improving the utilization efficiency and sustainable development of TCM resources, and facilitate the low-carbon and efficient development of TCM resource industry and the achievement of the double carbon goals.
Medicine, Chinese Traditional ; Equipment Reuse ; Goals ; Environmental Pollution ; Economic Development ; Carbon ; China

Objective To investigate the spontaneous neural activity in the brain of patients with Alzheimer' s disease (AD) used 3 indicators of resting state-functional magnetic resonance (rs-fMRI) amplitude of low frequency fluctuation (ALFF), fractional amplitude of low frequency fluctuation (fALFF) and percentage amplitude fluctuation (PerAF). Methods Totally 36 clinically diagnosed AD patients and 40 healthy volunteers were scanned by fMRI in resting state respectively. ALFF, fALFF and PerAF were used to calculate and compare the changes of brain regions between the two groups. Results Compared with the normal control group, mALFF value in AD group increased significantly in bilateral caudate nucleus, medial frontal gyrus, superior frontal gyrus, gyrus rectus, anterior cingulate gyrus, olfactive cortex, left middle frontal gyrus and inferior frontal gyrus (P<0. 05). mALFF values decreased significantly in the right middle temporal gyrus, inferior temporal gyrus, inferior occipital gyrus, middle occipital gyrus, bilateral calcarine, cuneus, lingual gyrus, superior occipital gyrus, vermis, precuneus and other regions (P<0. 05). In AD group, mfALFF value of right inferior temporal gyrus, anterior cerebellar lobe, fusiform gyrus, left superior frontal gyrus, medial frontal gyrus, middle frontal gyrus, inferior frontal gyrus, gyrus rectus and anterior cingulate gyrus increased significantly (P<0. 05); mfALFF values decreased significantly in bilateral lingual gyrus, left calcarine, cuneus, superior occipital gyrus, middle occipital gyrus and vermis (P<0. 05). In AD group, mPerAF value increased significantly in bilateral gyrus rectus, anterior cingulate gyrus, medial frontal gyrus, left superior frontal gyrus, caudate nucleus, middle frontal gyrus, inferior frontal gyrus, olfactive cortex and insula (P<0. 05); mPerAF values decreased significantly in bilateral calcarine, cuneus, superior occipital gyrus, lingual gyrus, precuneus, left fusiform gyrus, inferior occipital gyrus, right superior parietal lobule, angular gyrus, middle temporal gyrus, inferior temporal gyrus and middle occipital gyrus (P < 0. 05). Conclusion The default mode network (DMN) and visual network of AD patients are characterized by abnormal brain activity, with the most significant neural activity in the prefrontal cortex and visual cortex.

OBJECTIVE: To evaluate the diagnostic value of dynamic contrast enhanced (DCE) of multiparametric magnetic resonance imaging (mpMRI) for prostate imaging reporting and data system (PI-RADS) 4 lesion in prostate peripheral zone. METHODS: The clinical data of patients with PI-RADS 4 lesion in prostate peripheral zone who underwent prostate biopsy from January 2018 to September 2021 in Peking University First Hospital were retrospectively included. According to DCE status, the patients were divided into the conventional group (4 points for diffusion-weighted imaging) and the comprehensive group (3 points for diffusion-weighted imaging + 1 point for DCE positive). Pearson's chi-square test or Fisher's exact test for comparison was conducted between prostate cancer and non-cancer patients. Univariate and multivariate Logistic regression were performed to analyze the correlation of positive biopsy with age, total prostate specific antigen (PSA), free PSA/total PSA (f/tPSA), prostate volume (PV), PSA density (PSAD) and DCE status. RESULTS: Among the 267 prostate biopsy patients, 217 cases were diagnosed as prostatic cancer (81.27%) and 50 cases were non-cancer (18.73%). Statistical analysis between the prostatic cancer group and the non-cancer group showed that there were significant differences in age, tPSA, PV and PSAD (all P < 0.05), but no significant differences in f/tPSA between the two groups. About different PI-RADS 4 lesion groups, the conventional group and the comprehensive group showed significant difference in biopsy results (P=0.001), and the conventional group had a higher positive rate. The PV of comprehensive group was larger than that of the conventional group. Among the prostate cancer patients diagnosed by biopsy, statistical analysis between the conventional group and comprehensive group showed that there were not significant differences in International Society of Urological Pathology (ISUP) grade and distinguishing clinically significant prostate cancer (all P > 0.05). Logistic univariate analysis showed that the diagnosis of prostate cancer was related to age, tPSA, f/tPSA, PV and DCE group status (all P < 0.05). Multivariate analysis showed that age, tPSA, PV and DCE group status (all P < 0.05) were independent risk factors for the diagnosis of prostatic cancer. CONCLUSION tPSA, f/tPSA, PV and PSAD are the indicators to improve the diagnosis of prostatic cancer with PI-RADS 4 lesion in peripheral zone lesions. DCE status is worth considering, so that we can select patients for biopsy more accurately, reduce the rate of missed diagnosis of prostate cancer as well as avoid unnecessary prostate puncture.
Male ; Humans ; Prostatic Neoplasms/pathology* ; Prostate-Specific Antigen ; Multiparametric Magnetic Resonance Imaging ; Magnetic Resonance Imaging/methods* ; Retrospective Studies

Chemical investigation of the culture extract of an endophytic Penicillium citrinum from Dendrobium officinale, afforded nine citrinin derivatives (1-9) and one peptide-polyketide hybrid GKK1032B (10). The structures of these compounds were determined by spectroscopic methods. The absolute configurations of 1 and 2 were determined for the first time by calculation of electronic circular dichroism (ECD) data. Among them, GKK1032B (10) showed significant cytotoxicity against human osteosarcoma cell line MG63 with an IC₅₀ value of 3.49 μmol·L^-1, and a primary mechanistic study revealed that it induced the apoptosis of MG63 cellsvia caspase pathway activation.
Apoptosis ; Bone Neoplasms ; Caspases ; Humans ; Osteosarcoma/drug therapy* ; Penicillium

Artificial intelligence technology is being widely applied in drug screening. This paper introduces the characteristics of artificial intelligence, and summarizes the application and progress of artificial intelligence technology especially deep learning in drug screening, from ligand-based and receptor structure-based aspects. This paper also introduces how to apply artificial intelligence to drug design from these two aspects. Finally, we discuss the main limitations, challenges, and prospects of artificial intelligence technology in the field of drug screening.

Animals ; Diabetes Mellitus, Experimental/drug therapy* ; Fibrosis/prevention & control* ; Hyperglycemia/prevention & control* ; Hypoglycemic Agents/pharmacology* ; Inflammation/prevention & control* ; Male ; Rats ; Rats, Sprague-Dawley ; Stilbenes/pharmacology*

Objective To explore the influence of muscle and fat distribution on sit-up ability of female college students. Methods A total of 1560 female students majoring in non-physical education in a Guangxi University were randomly selected. Body composition was measured by the bioresistance antibody component meter. According to the National Physical Health Test Standard, the height, weight and sit-ups of female college students were measured. The students were divided into four groups according to the score of sit-ups:<60 points, 60-69 points, 70-79 points, ≥80 points. SPSS 22.0 statistical software was used to analyze the data. Results There were statistically significant differences in body fat rate, total fat mass, trunk fat mass, trunk fat rate, visceral fat area, visceral fat mass and subcutaneous fat mass in different sit-ups (F value were 3.414, 2.914, 2.881, 3.347, 3.064, 3.235, 2.766, P<0.05). That was, the fat parameters in the 60-69 group were the highest and ≥80 the lowest. However, there was no significant difference between total muscle mass and trunk muscle mass in each score segment. After correcting for age, height, and weight factors, except for visceral fat area and visceral fat mass, the correlation between other fat parameters and sit-up score were negatively correlated, which were statistically significant (r<0, P<0.05). There was a positive correlation between each muscle parameter and sit-up performance (r>0, P<0.05). Compared with other parameters, the correlation coefficient between trunk muscle mass and sit-ups was the largest. Conclusion The distribution of fat and muscle has different effects on sit-up ability. Female college students' sit-up ability is greatly affected by subcutaneous fat and trunk muscle, and has nothing to do with visceral fat.