A Smart Pesticide-Controlled Release Platform with Dual Stimuli-Responsive Functions for Enhanced Treatment of Plant Black Shank.

Realizing controllable input of botanical pesticides is conducive to improving pesticide utilization, reducing pesticide residues, and avoiding environmental pollution but is extremely challenging. Herein, we constructed a smart pesticide-controlled release platform (namely, SCRP) for enhanced treatment of tobacco black shank based on encapsulating honokiol (HON) with mesoporous hollow structured silica nanospheres covered with pectin and chitosan oligosaccharide (COS). The SCRP has a loading capacity of 12.64% for HON and could effectively protect HON from photolysis. Owing to the pH- and pectinase-sensitive property of the pectin, the SCRP could smartly release HON in response to a low pH or a rich pectinase environment in the black shank-affected area. Consequently, the SCRP effectively inhibits the infection of P. nicotianae on tobacco with a controlled rate for tobacco black shank of up to 87.50%, which is mainly due to the SCRP's capability in accumulating ROS, changing cell membrane permeability, and affecting energy metabolism. In addition, SCRP is biocompatible, and the COS layer enables SCRP to show a significant growth-promoting effect on tobacco. These results indicate that the development of a stimuli-responsive controlled pesticide release system for plant disease control is of great potential and value for practical agriculture production.

Asiaticasics A-O, structurally intriguing coumarins from Toddalia asiatica with potential inflammatory inhibitory activity.

Ethyl acetate fraction of Toddalia asiatica was fractionated to yield fifteen previously undescribed prenylated coumarins, asiaticasics A-O (1-15) along with nine (16-24) known derivatives. The structures of these undescribed coumarins were established by spectroscopic analysis and reference data. Biological activity evaluation showed that compound 3 with the IC50 value of 2.830 µM and compound 12 with the IC50 value of 0.682 µM owned anti-inflammatory activity by detecting the rate of lactate dehydrogenase release in pyroptosis J774A.1 cells. The results showed that the expression of Caspase-1 and IL-1ß was decreased in a dose-dependent manner in the compound 12 treatment group, suggesting that compound 12 may reduce pyroptosis by inhibiting NLRP3 inflammasome. To further determine that compound 12 treatment can inhibit macrophage pyroptosis, morphological observation was performed and the results were consistent with the bioactivity evaluation.

Duhuo Jisheng Decoction regulates intracellular zinc homeostasis by enhancing autophagy via PTEN/Akt/mTOR pathway to improve knee cartilage degeneration.

BACKGROUND: Articular cartilage and cartilage matrix degradation are key pathological changes occurring in the early stage of knee osteoarthritis (KOA). However, currently, there are limited strategies for early prevention and treatment of KOA. Duhuo Jisheng Decoction (DHJSD) is a formula quoted in Bei Ji Qian jin Yao Fang, which was compiled by Sun Simiao in the Tang Dynasty of China. As a complementary therapy, it is widely used to treat early-stage KOA in China; however, its mechanism has not been completely elucidated. OBJECTIVE: This study investigated the potential role of DHJSD in preventing cartilage degradation and the underlying mechanism. METHODS: A rat model of KOA model was established via the Hulth method. Subsequently, 25 rats were randomized into sham (saline), model control (saline), high-DHJSD (1.9g/mL of DHJSD), medium-DHJSD (1.2g/mL of DHJSD), and low-DHJSD groups (0.6g/mL of DHJSD). After 4 weeks of treatment, all rats were sacrificed and the severity of the cartilage degeneration was evaluated by a series of histological methods. The autophagosome was observed using transmission electron microscopy, and the related functional proteins were detected by the western blotting and real-time polymerase chain reaction. Next, the mechanism by which DHJSD improves knee cartilage degeneration was further clarified the in vitro by gene silencing technology combined with a series of functional experiments. The proteins levels of PTEN, Akt, p-Akt, mTOR, and p-mTOR, as well as the marker proteins of autophagy and apoptosis were determined. Zinc levels in chondrocytes were determined using inductively coupled plasma mass spectrometry. RESULTS: Histopathological staining revealed that DHJSD had a protective effect on the cartilage. DHJSD increased autophagosome synthesis and the expression of autophagy proteins LC3 and Beclin-1 in chondrocytes. Moreover, it reduced the phosphorylation levels of Akt and mTOR and the levels of zinc, MMP-13, Bax, and Bcl-2. Following PTEN silencing, this DHJSD-mediated reduction in Akt and mTOR phosphorylation and Bax, Bcl-2, and zinc levels were further decreased; in addition, DHJSD-mediated increase in LC3 and Beclin-1 levels was decreased. CONCLUSION: DHJSD inhibits the Akt/mTOR signaling pathway by targeting PTEN to promote autophagy in chondrocytes, which may help reduce MMP-13 production by regulating zinc levels in chondrocytes.

Efficacy and safety of traditional Chinese medicine in the treatment of menopause-like syndrome for breast cancer survivors: a systematic review and meta-analysis.

BACKGROUND: In recent years, breast cancer (BC) incidence and mortality have been the highest in females. Menopause-like syndrome (MLS), arising from hypoestrogenism caused by endocrine therapy, significantly affects the quality of life for females. Traditional Chinese Medicine (TCM) has advantages in ameliorating MLS, but the efficacy of TCM in patients with BC has not been systematically evaluated. METHODS: A comprehensive search was performed on PubMed, Web of Science, Embase, Ovid, Cochrane Library, China National Knowledge Infrastructure, Wanfang database, Chinese Scientific Journals Database, and Clinical Trial Registry from inception to September 4, 2023. The Cochrane Risk of Bias assessment tool was used for the quality evaluation of the randomized controlled trials (RCTs). Review Manager 5.4 software was used for statistical analysis, and the Grading of Recommendations Assessment, Development, and Evaluation was used for quality evaluation of the synthesized evidence. RESULTS: This review included 42 studies involving 3112 female patients with BC. The results showed that the TCM group was better at decreasing the Kupperman Menopausal Index (KMI) scores (standardized MD, SMD = - 1.84, 95% confidence interval, CI [- 2.21--1.46], Z = 9.63, P < 0.00001). Regarding the main symptoms of MLS, the TCM groups could significantly decrease the scores of hot flashes and night sweats (SMD = - 0.68, 95% CI [- 1.1--0.27], Z = 3.24, P = 0.001), paraesthesia (SMD = - 0.48, 95% CI [- 0.74--0.21], Z = 3.53, P = 0.0004), osteoarthralgia (SMD = - 0.41, 95% CI [- 0.6-0.21], Z = 4.09, P < 0.0001), anxiety (MD = - 0.85, 95% CI [- 1.13, - 0.58], Z = 6.08, P < 0.00001) and insomnia (MD = - 0.61, 95% CI [- 0.8, - 0.43], Z = 6.51, P < 0.00001). TCM can effectively improve the symptoms of MLS in patients with BC. Moreover, TCM could improve the objective response rate (ORR) by 50% (RR = 1.5, 95% CI [1.37-1.64], Z = 9.01, P < 0.00001). Follicle-stimulating hormone (FSH) and oestradiol (E2) had no significant difference compared with the control group (p = 0.81 and p = 0.87), and luteinizing hormone (LH) in the TCM group decreased significantly (MD = - 0.99, 95% CI [- 1.38, - 0.5], Z = 5.01, P < 0.00001). This means that the use of TCM does not negatively affect endocrine therapy and may even have a synergistic effect. The incidence of adverse events (AEs) was lower in the TCM groups than in the control groups. CONCLUSIONS: The meta-analysis stated that TCM could better improve the MLS of patients, alleviate related symptoms, and did not increase adverse drug reactions in BC survivors. This review brings more attention to MLS, and the present findings shed light on the potential applications of TCM in the treatment of MLS in BC survivors.

Molecular docking technology and network pharmacology based on Rhapontici Radix-Cremastrae Pseudobulbus drug pair in treating breast cancer.

OBJECTIVE: Network pharmacology is a bioinformatics-based research strategy for identifying the mechanisms of drugs and promoting drug development. This study used network pharmacology to investigate the mechanism of the Loulu-Cremastrae Pseudobulbus drug pair treating breast cancer (BC). MATERIALS AND METHODS: The ingredients and potential targets of the drug pair were searched with Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCSMP). National Center for Biotechnology Information (NCBI) and gene cards were used to search the targets of BC. Networks of "drugs-components-targets" and protein-protein interaction were constructed through Cytoscape. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were carried out through common targets. Using AutoDock tool, molecular docking was performed to verify the binding between key targets and compounds. RESULTS: Finally, we selected 6 active compounds from the drug pair. A total of 61 targets were associated with the drug pair, and 15,295 targets were related to BC. 55 common targets were obtained after the intersection. The key targets included Transcription factor Jun (JUN), Heat shock protein HSP 90-alpha (HSP90AA1), and Caspase-3(CASP3). 327 terms were obtained by GO analysis. 78 pathways (p < 0.05) were identified through KEGG analysis. Molecular docking indicated that important compounds combined well with key targets. CONCLUSIONS: Various active compounds, including beta-sitosterol, 2-methoxy-9,10-dihydrophenanthrene-4,5-diol, and stigmasterol, can regulate multiple signaling pathways related to BC, such as the estrogen and prolactin signaling pathways, playing therapeutic roles in BC.

Internet-Based Healthcare Knowledge Service for Improvement of Chinese Medicine Healthcare Service Quality.

With the development of new-generation information technology and increasing health needs, the requirements for Chinese medicine (CM) services have shifted toward the 5P medical mode, which emphasizes preventive, predictive, personalized, participatory, and precision medicine. This implies that CM knowledge services need to be smarter and more sophisticated. This study adopted a bibliometric approach to investigate the current state of development of CM knowledge services, and points out that accurate knowledge service is an inevitable requirement for the modernization of CM. We summarized the concept of smart CM knowledge services and highlighted its main features, including medical homogeneity, knowledge service intelligence, integration of education and research, and precision medicine. Additionally, we explored the intelligent service method of traditional Chinese medicine under the 5P medical mode to support CM automatic knowledge organization and safe sharing, human-machine collaborative knowledge discovery and personalized dynamic knowledge recommendation. Finally, we summarized the innovative modes of CM knowledge services. Our research will guide the quality assurance and innovative development of the traditional Chinese medicine knowledge service model in the era of digital intelligence.

Effect of traditional Chinese medicine on postoperative depression of breast cancer: a systematic review and meta-analysis.

Background: Depression is one of the common complications in patients with postoperative breast cancer (BC). Conventional therapies for postoperative depression of BC always have modest treatment outcomes and undesirable side effects. Clinical practice and many studies have shown that traditional Chinese medicine (TCM) has a good effect on postoperative depression of BC. This meta-analysis aimed to assess the clinical effect of TCM as an add-on treatment for postoperative depression of BC. Methods: A systematic and thorough search was conducted on eight online electronic databases up to 20 July 2022. The control group received conventional therapies, and intervention groups received what control groups received plus TCM treatment. Review Manager 5.4.1 was used for statistical analysis. Results: Nine RCTs involved 789 participants who met the inclusion standards. The results showed the intervention group was better at decreasing the score of the Hamilton rating scale for depression (HAMD) (mean difference, MD = -4.21, 95% CI -5.54 to -2.88) and the self-rating depression scale (SDS) (MD = -12.03, 95% CI -15.94 to -8.13), improving clinical efficacy (RR = 1.25, 95% CI 1.14-1.37), increasing the levels of 5-hydroxytryptamine (5-HT) (MD = 0.27, 95% CI 0.20-0.34), dopamine (DA) (MD = 26.28, 95% CI 24.18-28.77), and norepinephrine (NE) (MD = 11.05, 95% CI 8.07-14.04), and influencing the immune index, including the levels of CD3+ (MD = 15.18, 95% CI 13.61-16.75), CD4+ (MD = 8.37, 95% CI 6.00-10.74), and CD4+/CD8+ (MD = 0.33, 95% CI 0.27-0.39). The level of CD8+ (MD = -4.04, 95% CI -11.98 to 3.99) had no obvious difference between the two groups. Conclusion: The meta-analysis stated that a therapeutic regimen involving TCM could better improve the depression status in postoperative BC.

Correlation between serum ferritin in early pregnancy and hypertensive disorders in pregnancy.

Objective: To explore the correlation between serum ferritin (SF) in early pregnancy and the risk of hypertensive disorders in pregnancy (HDP). Method: A retrospective cohort study was conducted on 43,421 pregnant women with singleton pregnancies who underwent antenatal checkups at Fujian Provincial Maternal and Child Health Hospital from January 2018 to December 2020. Based on pregnancy records, women were classified as non-hypertensive, having gestational hypertension, preeclampsia and preeclampsia with severe features according to the degree of the disease. General baseline data, and SF levels in the early (up to 12 gestational weeks) and late (after 28 weeks of gestation) stages of pregnancy were collected. The significance of the characteristic variables was assessed using a random forest algorithm, and the correlation between early pregnancy SF levels and the incidence of HDP was further analyzed using logistics regression adjusted for confounders. A generalized additive model (GAM) was fitted to a smoothed graph of the relationship between early pregnancy SF levels and HDP, and a threshold effect analysis was performed to find the threshold values of early pregnancy SF for iron supplementation therapy. Result: A total of 30,703 pregnant women were included. There were 1,103 women who were diagnosed with HDP. Of them, 418 had gestational hypertension, 12 had chronic hypertension without SPE, 332 - preeclampsia and 341 women had preeclampsia with severe features. Levels of SF in early and late pregnancy were significantly higher (p < 0.001) in women with HDP compared to non-hypertensive women and the difference was more pronounced in early pregnancy. The random forest algorithm showed that early pregnancy SF was more effective in predicting HDP compared to late pregnancy SF levels and was also an independent risk factor for HDP (adjusted odds ratio (AOR) = 1.07, 95% CI [1.05,1.09]) after correction for confounding factors. Early pregnancy SF >64.22 mg/l was associated with higher risk of developing hypertensive disorders. Conclusion: Risk of pregnancy-related hypertensive disorders increases with increasing early pregnancy SF levels. SF levels may therefore be used to further develop guidelines for iron supplementation therapy in pregnant women.

The effect of ultrasound-guided acupotomy and Juanbi decoction on lumbar disc herniation: A randomized controlled trial.

BACKGROUND: Acupotomy as well as Juanbi decoction has been used in the treatment of lumbar disc herniation. However, there is no study on ultrasound-guided acupotomy combined with Juanbi decoction in the treatment of lumbar disc herniation. METHOD: This study was supported by the Sichuan Provincial Administration of Traditional Chinese Medicine [grant number: 2020LC0163] and the Science and Technology Department of Sichuan Province [grant number: 2022YFS0418]. This study was 3 center, open, randomized, controlled trial, and was carried out from December 2020 to December 2022. A total of 60 eligible patients with LDH were split into group A and group B at random. The group B received Juanbi Decoction 3 times daily for 2 weeks along with an acupotomy assisted by ultrasound. The acupotomy was administered once a week. The same protocol was used with the group A, but the Juanbi Decoction was replaced with normal saline. OBSERVATION INDEX: Visual analogue scale (VAS) score on 1 day and 1 week after treatment, VAS score, Japanese orthopedic association low back pain score(JOA) rate, Oswestry Disability Index (ODI), and low back outcome scale (LBOS) at 1, 3, 6, and 12 months after treatment in 2 groups. RESULTS: There were no significant differences in general information, VAS score before treatment, JOA, ODI, and LBOS between the 2 groups (P > .05). Intra-group comparison: VAS score, JOA rate, ODI, and LBOS were compared before and after treatment in both groups, and the differences were statistically significant (P < .05). There were significant differences in VAS and LBOS between the 2 groups at 3 and 6 months after treatment, and there were statistically significant differences in ODI and JOA rates at 3, 6, and 12 months after treatment between the 2 groups. CONCLUSION: Acupotomy aided by ultrasound combined with Juanbi Decoction significantly relieves lumbar pain and can improve lumbar function in patients with LDH, and the clinical efficacy lasts for about 6 months.

Uranium extraction from seawater: material design, emerging technologies and marine engineering.

Uranium extraction from seawater (UES), a potential approach to securing the long-term uranium supply and sustainability of nuclear energy, has experienced significant progress in the past decade. Promising adsorbents with record-high capacities have been developed by diverse innovative synthetic strategies, and scale-up marine field tests have been put forward by several countries. However, significant challenges remain in terms of the adsorbents' properties in complex marine environments, deployment methods, and the economic viability of current UES systems. This review presents an up-to-date overview of the latest advancements in the UES field, highlighting new insights into the mechanistic basis of UES and the methodologies towards the function-oriented development of uranium adsorbents with high adsorption capacity, selectivity, biofouling resistance, and durability. A distinctive emphasis is placed on emerging electrochemical and photochemical strategies that have been employed to develop efficient UES systems. The most recent achievements in marine tests by the major countries are summarized. Challenges and perspectives related to the fundamental, technical, and engineering aspects of UES are discussed. This review is envisaged to inspire innovative ideas and bring technical solutions towards the development of technically and economically viable UES systems.

The use of melittin to enhance transgene expression mediated by recombinant adeno-associated virus serotype 2 vectors both in vitro and in vivo.

OBJECTIVE: Melittin, a cell-penetrating peptide, improves the efficiency of many non-viral gene delivery vectors, yet its application in viral vectors has not been well studied. The non-pathogenic recombinant adeno-associated virus (rAAV) vector is an ideal in vivo gene delivery vector. However, its full potential will only be achieved after improvement of its transduction efficiency. To improve the transduction efficiency of rAAV2 vectors, we attempted to develop a melittin-based rAAV2 vector delivery strategy. METHODS: The melittin peptide was inserted into the rAAV2 capsid either in the loop VIII of all viral proteins (VPs) or at the N terminus of VP2. Various rAAV2-gfp or -fluc vectors were subjected to quantitative real-time polymerase chain reaction and Western blot assays to determine their titers and integrity of capsid proteins, respectively. Alternatively, the vectors based on wild-type capsid were pre-incubated with melittin, followed by transduction of cultured cells or tail vein administration of the mixture to C57BL/6 and BALB/c nude mice. In vivo bioluminescence imaging was performed to evaluate the transgene expression. RESULTS: rAAV2 vectors with melittin peptide inserted in the loop VIII of VPs had low transduction efficiency, probably due to dramatically reduced ability to bind to the target cells. Fusing the melittin peptide at the N-terminus of VP2 produced vectors without the VP2 subunit. Interestingly, among the commonly used rAAV vectors, pre-incubation of rAAV2 and rAAV6 vectors with melittin significantly enhanced their transduction efficiency in HEK293 and Huh7 cells in vitro. Melittin also had the ability to increase the rAAV2-mediated transgene expression in mouse liver in vivo. Mechanistically, melittin did not change the vector-receptor interaction. Moreover, cell counting kit-8 assays of cultured cells and serum transaminase levels indicated melittin had little cytotoxicity. CONCLUSION: Pre-incubation with melittin, but not insertion of melittin into the rAAV2 capsid, significantly enhanced rAAV2-mediated transgene expression. Although further in vivo evaluations are required, this research not only expands the pharmacological potential of melittin, but also provides a new strategy to improve gene therapy mediated by rAAV vectors.

[Chemical composition analysis and value evaluation of stems and leaves of Astragalus membranaceus var. mongholicus].

This study aimed to provide data support for resource utilization of the stems and leaves of Astragalus membranaceus var. mongholicus(SLAM) by analyzing and evaluating the chemical constituents. The crude protein, crude fiber, and soluble saccharide of SLAM were analyzed by Kjeldahl method, filtration method, and UV-Vis spectrophotometry, respectively. The nucleosides, amino acids, flavonoids, and saponins of SLAM were analyzed by ultraperformance liquid chromatography-triple quadrupole mass spectrometry(UPLC-TQ-MS). Combined with principal component analysis(PCA), the quality difference of resource components of SLAM was comprehensively evaluated. The results showed that the average content of crude protein, crude fiber, total polysaccharide, and redu-cing sugar in SLAM was 5.11%, 30.33%, 11.03 mg·g~(-1), and 31.90 mg·g~(-1), respectively. Six nucleosides, 15 amino acids, 22 flavonoids, and one saponin were detected, with an average content of 1.49 mg·g~(-1), 6.00 mg·g~(-1), 1.86 mg·g~(-1), and 35.67 µg·g~(-1), respectively. The content of various types of chemical components in SLAM differed greatly in different harvesting periods and growing years. The results of PCA showed that the quality of SLAM produced in Ningxia was superior. The results can provide references for the utilization of SLAM.

Preoperative administration of branched-chain amino acids reduces postoperative insulin resistance in rats by reducing liver gluconeogenesis.

BACKGROUND: Postoperative insulin resistance (PIR) represents an important characteristic of metabolic response following surgical injury. Clinical outcomes are negatively correlated to postoperative insulin resistance and hyperglycemia, indicating a novel treatment for reducing postoperative insulin resistance is urgently needed. The current work aimed to assess the protective effects of branched-chain amino acids (BCAA) on glucose metabolism disorders induced surgically in a rat model, and to explore the underpinning mechanism. METHODS AND RESULTS: Rats were randomly assigned to 2 groups, including the control and BCAA groups. Rats were given a compulsory oral 3 mL load by gavage two hours before surgery. The results showed that BCAA remarkably reduced glycemia by suppressing liver gluconeogenesis via reduction of cAMP-response element-binding protein-regulated transcription coactivator 2 (CRTC2) and glucose-6-phosphatase (G6PC) gene and protein expression levels (all Ps < 0.05). CONCLUSIONS: This study revealed that BCAA lower blood glucose levels by reducing liver gluconeogenesis without significant elevation of plasma insulin levels. We anticipate that preoperative BCAA supplementation may be a means for preventing postoperative insulin resistance.

No long-term survival benefit with sustained-release 5-fluorouracil implants in patients with stages II and III gastric cancer.

BACKGROUND: The prognosis of gastric cancer in an advanced stage remains poor. The exact efficacy of the use of intraoperative sustained-release chemotherapy with 5-fluorouracil (5-FU) in advanced-stage gastric cancer is still unelucidated. AIM: To explore the long-term survival benefit of using sustained-release 5-FU implants in stage II and stage III gastric cancer patients. METHODS: Patients with gastric cancer in a locally advanced stage and who underwent an R0 radical resection between Jan 2014, to Dec 2016, in this single institution were included. Patients with pathological diagnoses other than adenocarcinoma were excluded. All included patients were grouped according to whether intraoperative sustained-release (SR) chemotherapy with 5-FU was used or not (NSR). The primary end-point was 5-year overall survival. Kaplan-Meier method with log-rank test was used to analyze the overall survival of patients and Cox analysis was used to analyze prognosis factors of these patients. RESULTS: In total, there were 563 patients with gastric cancer with locally advanced stage, who underwent an R0 radical resection. 309 patients were included in the final analysis. 219 (70.9%) were men, with an average age of 58.25 years. Furthermore, 56 (18.1%) received neoadjuvant chemotherapy, and 191 (61.8%) were in TNM stage III. In addition, 158 patients received intraoperative sustained-release chemotherapy with 5-FU and were included in the SR group, while the other 161 patients were included in the NSR group. The overall complication rate was 12.94% in the whole group and 10.81%, 16.46% in SR and NSR groups, respectively. There were no significant differences between the two groups in overall survival and complication rate (P > 0.05). The multivariate cox analysis indicated that only N Stage and neoadjuvant therapy were independent influencing factors of survival. CONCLUSION: Intraoperative sustained-release chemotherapy usage with 5-FU, did not improve the survival of patients who underwent an R0 radical resection in locally advanced stage of gastric cancer.

Network pharmacology-based approach uncovers the JAK/STAT signaling mechanism underlying paederia scandens extract treatment of rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a common autoimmune disease. Paederia scandens (Lour.) Merr is a common folk remedy used in Hainan, China, to dispel the wind and dampness associated with RA. METHODS: The active components of Paederia scandens were extracted using network pharmacology. The potential targets of active components were used to determine activated pathways, and the in vitro effects of Paederia scandens extracts were verified in RA fibroblast-like synoviocytes (HFLS-RA). RESULTS: We identified 27 active components using ultra-high-performance liquid chromatography (UHPLC)-quadrupole time-of-flight (QTOF)-mass spectrometry (MS). Among the major target genes with high connectivity, IL-1ß, PI3K, TNF, and JAK2 are known to play key roles in RA development. High-affinity interactions were identified between active compounds in Paederia scandens extract and Janus kinase JAK 2, which are key components of the JAK-signal transducer and activator of transcription (STAT) signaling pathway. In HFLS-RA cells, Paederia scandens extract treatment reduced the mRNA levels of IL-6, IL-1ß, and IL-17. Paederia scandens extract treatment also significantly inhibited the phosphorylation of JAK 2 and STAT3, regulating cell proliferation. CONCLUSIONS: Based on these results, we confirmed that Paederia scandens has potential for application as a therapeutic and preventive food and acts through the modulation and suppression of JAK-STAT pathway activation to control the inflammatory response in RA.

Towards a global One Health index: a potential assessment tool for One Health performance.

BACKGROUND: A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS: We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS: The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS: GOHI-subject to rigorous validation-would represent the world's first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.

Emergence of ceftazidime-avibactam resistance due to a novel blaKPC-2 mutation during treatment of carbapenem-resistant Klebsiella pneumoniae infections.

OBJECTIVE: Klebsiella pneumoniae carbapenemase (KPC)-producing K.pneumoniae has represented a serious health problem in worldwide. The resistance to ceftazidime-avibactam (CAZ-AVI) began to emerge since its approval in 2015. We aim to explore the resistance mechanism of CAZ-AVI. METHODS: Phenotypic test and whole-genome sequencing (WGS) analysis were performed in KP-HX0917 and KP-HX1016 Klebsiella pneumoniae isolates, collected from the same patient following treatment with CAZ-AVI. RESULTS: We report a case of emergence of CAZ-AVI resistance in ST 11 KPC-2-producing K. pneumoniae (KP-HX1016) during 14 days of exposure with CZA-AVI. Molecular analysis highlighted the A533C mutation in the blaKPC-2 gene, resulting a D179A substitution in protein sequence, which restored the hydrolysis ability of imipenem and meropenem, but not for ertapenem, and the result of phenotypic test was negative. However, KP-HX0917 produced serine-carbapenemase by phenotypic detection and lost its capacity of hydrolyzing carbapenems. CONCLUSION: The emergence of CAZ-AVI resistance should arouse our attention, the susceptibility testing should be followed by a combination of phenotypic and molecular methods, to make sure that no potential carbapenemase-producing bacteria are missed.

Effects of a Combined Motor Imagery and Action Observation Intervention on Vascular Cognitive Impairment: A Randomized Pilot Study.

OBJECTIVE: The aim of the study was to identify the effects of combined motor imagery and action observation therapy on vascular cognitive impairment. DESIGN: Thirty vascular cognitive impairment patients were randomly assigned into three groups. Cognitive training group was given conventional cognitive training, motor imagery + action observation group was treated with motor imagery and action observation therapy, and mixed therapy group was given conventional cognitive training and motor imagery + action observation therapy, for 8 wks continuously. The Montreal Cognitive Assessment Scale, Rivermead Behavioral Memory Test, and event-related potential were used to evaluate the cognitive function at baseline, 4- and 8-wk posttreatment, and 1-mo follow-up. RESULTS: There were significant time × group interactions in Montreal Cognitive Assessment Scale (F6,4.20 = 8.38, P < 0.001), event-related potential latent period (F6,294.24 = 5.10, P < 0.001), event-related potential amplitude (F6,1.68 = 23.08, P < 0.001), and Rivermead Behavioral Memory Test (F6,312.61 = 5.42, P < 0.001). Intragroup comparisons showed that Montreal Cognitive Assessment Scale and Rivermead Behavioral Memory Test scores and event-related potential amplitude increased significantly (P < 0.05), and event-related potential latency decreased significantly (P < 0.05) in all groups. Intergroup comparisons showed that the changes of all outcomes in mixed therapy group were greater than those in cognitive training and motor imagery + action observation group (P < 0.05) after treatment. CONCLUSIONS: These results suggest that the combination of cognitive training with motor imagery and action observation therapy is an effective treatment on cognitive function in people with vascular cognitive impairment.

Revealing the Mechanism of Astragali Radix against Cancer-Related Fatigue by Network Pharmacology and Molecular Docking.

BACKGROUND: Cancer-related fatigue (CRF) is an increasingly appreciated complication in cancer patients, which severely impairs their quality of life for a long time. Astragali Radix (AR) is a safe and effective treatment to improve CRF, but the related mechanistic studies are still limited. OBJECTIVE: To systematically analyze the mechanism of AR against CRF by network pharmacology. METHODS: TCMSP was searched to obtain the active compounds and targets of AR. The active compound-target (AC-T) network was established and exhibited by related visualization software. The GeneCards database was searched to acquire CRF targets, and the intersection targets with AR targets were used to make the Venny diagram. The protein-protein interaction (PPI) network of intersection targets was established, and further, the therapeutic core targets were selected by topological parameters. The selected core targets were uploaded to Metascape for GO and KEGG analysis. Finally, AutoDock Vina and PyMOL were employed for molecular docking validation. RESULTS: 16 active compounds of AR were obtained, such as quercetin, kaempferol, 7-O-methylisomucronulatol, formononetin, and isorhamnetin. 57 core targets were screened, such as AKT1, TP53, VEGFA, IL-6, and CASP3. KEGG analysis manifested that the core targets acted on various pathways, including 137 pathways such as TNF, IL-17, and the AGE-RAGE signaling pathway. Molecular docking demonstrated that active compounds docked well with the core targets. CONCLUSION: The mechanism of AR in treating CRF involves multiple targets and multiple pathways. The present study laid a theoretical foundation for the subsequent research and clinical application of AR and its extracts against CRF.

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.

Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" era, a series of cutting-edge technologies has brought new experiences to the management of chronic diseases. Among them, smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state. However, how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management, in terms of quality of life, patient outcomes, and privacy protection, is an urgent issue that needs to be addressed. Artificial intelligence (AI) can provide intelligent suggestions by analyzing a patient's physiological data from wearable devices for the diagnosis and treatment of diseases. In addition, blockchain can improve healthcare services by authorizing decentralized data sharing, protecting the privacy of users, providing data empowerment, and ensuring the reliability of data management. Integrating AI, blockchain, and wearable technology could optimize the existing chronic disease management models, with a shift from a hospital-centered model to a patient-centered one. In this paper, we conceptually demonstrate a patient-centric technical framework based on AI, blockchain, and wearable technology and further explore the application of these integrated technologies in chronic disease management. Finally, the shortcomings of this new paradigm and future research directions are also discussed.