Animals ; Callithrix ; Sex Factors ; Vocalization, Animal ; Sex Characteristics

Natural products are important sources for the discovery of anti-tumor drugs. Evodiamine is the main alkaloid component of the traditional Chinese herb Wu-Chu-Yu, and it has weak antitumor activity. In recent years, a number of highly active antitumor candidates have been discovered with a significant progress. This article reviews the research progress of evodiamine-based antitumor drug design strategies, in order to provide reference for the development of new drugs with natural products as leads.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

OBJECTIVE: To evaluate toxicity of raw extract of Panax notoginseng (rPN) and decocted extract of PN (dPN) by a toxicological assay using zebrafish larvae, and explore the mechanism by RNA sequencing assay. METHODS: Zebrafish larvae was used to evaluate acute toxicity of PN in two forms: rPN and dPN. Three doses (0.5, 1.5, and 5.0 µ g/mL) of dPN were used to treat zebrafishes for evaluating the developmental toxicity. Behavior abnormalities, body weight, body length and number of vertebral roots were used as specific phenotypic endpoints. RNA sequencing (RNA-seq) assay was applied to clarify the mechanism of acute toxicity, followed by real time PCR (qPCR) for verification. High performance liquid chromatography analysis was performed to determine the chemoprofile of this herb. RESULTS: The acute toxicity result showed that rPN exerted higher acute toxicity than dPN in inducing death of larval zebrafishes (P<0.01). After daily oral intake for 21 days, dPN at doses of 0.5, 1.5 and 5.0 µ g/mL decreased the body weight, body length, and vertebral number of larval zebrafishes, indicating developmental toxicity of dPN. No other adverse outcome was observed during the experimental period. RNA-seq data revealed 38 genes differentially expressed in dPN-treated zebrafishes, of which carboxypeptidase A1 (cpa1) and opioid growth factor receptor-like 2 (ogfrl2) were identified as functional genes in regulating body development of zebrafishes. qPCR data showed that dPN significantly down-regulated the mRNA expressions of cpa1 and ogfrl2 (both P<0.01), verifying cpa1 and ogfrl2 as target genes for dPN. CONCLUSION This report uncovers the developmental toxicity of dPN, suggesting potential risk of its clinical application in children.
Animals ; Zebrafish/genetics* ; Saponins/pharmacology* ; Panax notoginseng/chemistry* ; Larva ; Sequence Analysis, RNA

Cancer seriously threatens human life and health, it is urgent for the development of rapid detection, precise localization and effective treatment of tumors. Chemical fluorescent probes that are sensitive to tumor-specific microenvironments have important significance in tumor theranostics and a variety of such probes have been developed. In this review, we classified chemical fluorescent probes that are sensitive to tumor microenvironments according to biological characteristics and microenvironmental changes while combining spectroscopy or response mechanisms, and systematically introduced the research progress of chemical fluorescent probes with sensitivity to hypoxia, low polarity, high viscosity, abnormal pH values and abundant reactive oxygen species in tumor microenvironments, in order to provide references for the development and applications of these probes.

Vascular dementia (VaD) is the second commonest type of dementia which lacks of efficient treatments currently. Neuroinflammation as a prominent pathological feature of VaD, is highly involved in the development of VaD. In order to verify the therapeutic potential of PDE1 inhibitors against VaD, the anti-neuroinflammation, memory and cognitive improvement were evaluated in vitro and in vivo by a potent and selective PDE1 inhibitor 4a. Also, the mechanism of 4a in ameliorating neuroinflammation and VaD was systematically explored. Furthermore, to optimize the drug-like properties of 4a, especially for metabolic stability, 15 derivatives were designed and synthesized. As a result, candidate 5f, with a potent IC₅₀ value of 4.5 nmol/L against PDE1C, high selectivity over PDEs, and remarkable metabolic stability, efficiently ameliorated neuron degeneration, cognition and memory impairment in VaD mice model by suppressing NF-κB transcription regulation and activating cAMP/CREB axis. These results further identified PDE1 inhibition could serve as a new therapeutic strategy for treatment of VaD.

Objective Airway-related patient safety incident (PSI) has always been the top concern of anesthesiologists because this type of incidents could severely threaten patient safety if not treated immediately and properly. This study intends to reveal the composition, prognosis, and to identify risk factors for airway related incidents reported by anesthesiologists. Methods All airway related PSIs reported by anesthesiologists in a Chinese academic hospital between September 2009 and May 2022 were collected from the PSI reporting system. Patients with airway incidents reported were matched 1:1 with controls based on sex and type of surgery. Univariable and multivariable analysis were performed to find risk factors associated with airway incident occurrence, and to evaluate influence of airway PSIs on patient prognosis. Results Among 1,038 PSIs voluntarily reported by anesthesiologists during the study period, 281 cases (27.1%) were airway-related incidents, with an overall reporting incidence of 4.74 per 10,000 among 592,884 anesthesia care episodes. Only ASA physical status was found to be significant independent predictor of these airway PSIs (P = 0.020). Patients with airway PSIs reported had longer extubation time (0.72 ± 1.56 d vs. 0.16 ± 0.77 d, 95%CI: 0.29 to 0.82, P < 0.001), longer ICU length of stay (LOS) (1.63 ± 5.71 d vs. 0.19 ± 0.84 d, 95%CI: 0.57 to 2.32, P= 0.001), longer post operative LOS (10.56 ± 13.09 d vs. 7.59 ± 10.76 d, 95%CI: 0.41 to 5.53, P = 0.023), and longer total in-hospital LOS (14.99 ± 15.18 d vs. 11.62 ± 11.88 d, 95%CI: 0.46 to 6.27,P = 0.024). Conclusions This single-center retrospective case-control study describes the composition of airway-related PSIs reported by anesthesiologists within thirteen years. Airway incidents might influence patient prognosis by elongating extubation time and LOS. Airway PSI data were worth analyzing to improve patient safety.
Humans ; Patient Safety ; Retrospective Studies ; Case-Control Studies ; Anesthesia/adverse effects* ; Risk Factors

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Objective To investigate the positive time length of nucleic acid detection in 22 confirmed cases of coronavirus disease (COVID-19) in Yangzhou and analyze the influencing factors, and to provide evidence for the prevention and control of the disease. Method A total of 22 confirmed cases were followed up for five weeks. Throat swabs were collected for nucleic acid detection. The relevant data were collected and statistical analysis was conducted on the basis of survival analysis. Results The positive rate of throat swabs was 100%, 100% and 66.67% at 1-2d, 3-4d and 5-7d, respectively, after the onset of COVID-19. The average positive time of all confirmed cases was 16.32 days, including 18.50 days for common type and 13.70 days for light type. The difference was statistically significant (χ²=4.36, P=0.037). Multivariate Cox regression analysis showed that case type (or=0.19, 95%CI:0.06-0.61) and onset visit time (or=0.70,95%CI:0.55-0.88) had an impact on the positive time length of nucleic acid detection. Conclusion The positive rate of respiratory samples is high within one week after the onset of the confirmed cases, and the positive time length of light type cases was shorter than that of common types. The positive time length of nucleic acid detection may be shortened after timely treatment with drugs.