With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans

Fritillariae Cirrhosae Bulbus is the dried bulb of perennial herbaceous plants in the Fritillaria genus(Liliaceae family) and is a representative traditional Chinese medicinal material with distinctive regional characteristics. Clinically, it is widely used in the treatment of dry cough, bronchial asthma, and other respiratory diseases, possessing significant medicinal and economic value and being highly esteemed in TCM. Currently, Fritillariae Cirrhosae Bulbus primarily relies on wild harvesting. However, due to excessive collection, its wild resources have drastically declined, and all source species have been classified as category Ⅱ in the List of National Key Protected Wild Plants, exacerbating the supply-demand imbalance in the market. To mitigate this issue, large-scale cultivation through the domestication of wild Fritillariae Cirrhosae Bulbus has become an inevitable trend. However, its strict environmental requirements, low propagation efficiency, high seedling mortality, and immature cultivation techniques have severely hindered industrialization. This study investigates the domestication process of Fritillariae Cirrhosae Bulbus, focusing on seed propagation, seedling cultivation, and medicinal material production. It also reviews the species and distribution of wild resources, their endangered status, market supply-demand dynamics, and the historical and current development of domestication. The findings indicate that enhancing propagation efficiency, optimizing cultivation models, and distinguishing between seed propagation and medicinal material production are key measures to accelerate the industrialization of domesticated Fritillariae Cirrhosae Bulbus. This research aims to promote the industrialization of Fritillariae Cirrhosae Bulbus domestication and provide a reference model for the conservation and sustainable utilization of rare and endangered medicinal plant resources.
Fritillaria/chemistry* ; Endangered Species ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/economics* ; China

OBJECTIVE: To evaluate the clinical efficacy of self-made anatomical tower-shaped pads combined with splint plaster fixation in the treatment of unstable 2nd to 5th metacarpal fractures and to provide a reference for clinical practice. METHODS: A retrospective analysis was conducted on 98 patients with unstable 2nd to 5th metacarpal fractures treated with self-made anatomical tower-shaped pads combined with splint plaster fixation between January 2019 and December 2022. There were 74 males and 24 females, aged from 19 to 63 years old with an average of (41.58±7.23) years old. The total active movement (TAM) score was used to evaluate the metacarpophalangeal joint function. Complications and fracture healing time were recorded. RESULTS: All patients were followed up for a period ranging from 1 to 5 months, with an average duration of (3.45±1.03) months. Among the 98 patients, anatomical alignment was achieved in 75 patients, with 68 patients still maintaining anatomical alignment after fixation removal. Functional alignment was achieved in 23 patients, with 20 patients maintaining functional alignment even after fixation removal. There were 10 patients with displacement after reduction. The average fracture healing time was (5.78±1.14) weeks, and the fracture healed well without any angular or rotational deformities. TAM score was utilized to assess the hand function of patients 3 months post-treatment. The extension range of motion (10.72±1.35)° and flexion range of motion (83.19±4.08)° of the metacarpophalangeal joint were significantly higher than the pre-treatment values of (8.25±0.68)° and (70.35±2.36)°, respectively. These differences were statistically significant (P<0.05). TAM outcomes were excellent in 92 cases, good in 5, fair in 1, and poor in none. CONCLUSION The implementation of self-made anatomical tower-shaped pad combined with splint plaster fixation is effective for the conservative management of unstable 2nd to 5th metacarpal fractures.
Humans ; Male ; Female ; Adult ; Middle Aged ; Metacarpal Bones/surgery* ; Splints ; Retrospective Studies ; Fractures, Bone/therapy* ; Casts, Surgical ; Young Adult ; Fracture Fixation, Internal/instrumentation*

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.

Objective: The study aims to explore the neural mechanism of cognitive differences in college students with posttraumatic stress disorder under verbal fluency task based on functional near infrared spectroscopy (fNIRS), so as to provide neuroimaging support for the evaluation, diagnosis and treatment of posttraumatic stress disorder(PTSD). Methods: Posttaumatic Stress Disorder Checklist Combat(PCL-C) was used to screen the subjects, including 21 students in PTSD group (PCL-C≥38) and 30 students in control group from September to Novenber in 2020. A 53 channel near infrared spectroscopy device was used to collect cerebral blood oxygen signals under the verbal fluency task, and correlation analysis, Mann Whitney U test and independent sample t test were performed on the results. Results: The difference in the total average score of PCL-C Scale between PTSD group and the control group(46.38±6.96，25.57±6.09) was statistically significant ( t=11.33, P <0.05). Correlation analysis showed that Avg-HbO in left dorsolateral prefrontal lobe was negatively correlated with PCL-C Score ( r=-0.37, P <0.05). Mann Whitney U test showed that in the left dorsolateral prefrontal lobe (Ch6), the Avg-HbO change in PTSD group [0.19(-0.09, 0.86)mmol/(L〖KG*7〗·mm)] was significantly lower than the control group [0.79( 0.37 , 1.47)mmol/(L ·mm)] ( Z=2.16, P <0.05), which was statistically significant. Conclusions The degree of PTSD was negatively correlated with the index of oxygenated hemoglobin in the left dorsolateral prefrontal lobe, and the oxygenated hemoglobin content in the PTSD group was lower than that in the normal group. In the future, fNIRS may be used to collect blood oxygen signals from the left dorsolateral prefrontal lobe in cognitive tasks to provide imaging evidence for the identification of PTSD.

AIM To prepare the nanosuspensions of naringenin phospholipids complex,and to investigate their in vivo pharmacokinetics.METHODS High-pressure homogenization method was applied to preparing the nanosuspensions of phospholipids complex.With stabilizer type,stabilizer-phospholipids complex consumption ratio,homogeneous pressure and homogeneous frequency as influencing factors,particle size,PDI and Zeta potential as evaluation indices,the formulation was optimized by single factor test.The morphology was observed under transmission electron microscope,after which X-ray powder diffraction analysis was performed,solubility,oil-water partition coefficient,dissociation rate of phospholipids complex and accumulative release rate were determined.Twenty-four rats were randomly assigned into four groups and given intragastric administration of the 0.5%CMC-Na suspensions of naringenin and its phospholipids complex,nanosuspensions and nanosuspensions of phospholipids complex(30 mg/kg),respectively,after which blood collection was made at 0,0.25,0.5,1,1.5,2,3,4,5,6,8,10,12 h,HPLC was adopted in the plasma concentration determination of naringenin,and main pharmacokinetic parameters were calculated.RESULTS The optimal formulation was determined to be 50 mg for naringenin consumption,PVP K30+TPGS(1 ∶ 1)as stabilizer,3 ∶ 1 for stabilizer-phospholipids complex consumption ratio,100 MPa for homogeneous pressure,and 10 times for homogeneous frequency,respectively.The obtained spherical-like or oval nanosuspensions of phospholipids complex demonstrated the average particle size,PDI and Zeta potential of(260.53±25.86)nm,0.160±0.024 and(-31.08±1.37)mV,respectively.Naringenin existed in the nanosuspensions of phospholipids complex in an anamorphous state,along with increased solubility,oil-water partition coefficient and dissociation rate of phospholipids complex,and the accumulative release rate reached more than 90%within 4 h.Compared with raw medicine and nanosuspensions,the nanosuspensions of phospholipids complex displayed shortened tmax(P<0.05)and increased Cmax,AUC0-t,AUC0-∞(P<0.05,P<0.01),the relative bioavailability was enhanced to 4.38 times.CONCLUSION The nanosuspensions of phospholipids can enhance naringenin's solubility and dissolution rate,and promote its in vivo absorption.

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

AIM To investigate the effects of Zhuangyao Shuanglu Tongnao Formula on neuronal apoptosis in rats with cerebral ischemia-reperfusion injury based on the study of oxidative stress and inflammatory response.METHODS The rats were randomly divided into the sham operation group,the model group,the edaravone group(3.0 mg/kg),the low,medium and high dose groups(9.0,18.0,36.0 g/kg)of Zhuangyao Shuanglu Tongnao Formula,with 18 rats in each group.The middle cerebral artery occlusion/reperfusion was conducted by thread embolism method to simulate cerebral ischemia reperfusion injury in rats followed by 6 days corresponding drugs administration.Subsequently,the rats had their neurological function deficit scored by Zeal Longa scoring method;their sizes of cerebral infarction areas measured by TTC staining;their pathological damage and apoptosis of neurons in hippocampal CA1 area of ischemic penumbra of the brain tissue detected by HE staining and TUNEL staining;their SOD activity and levels of GSH,MDA,IL-6,IL-1β,TNF-α in brain tissue detected by kits;and their protein expressions of Bax,Bcl-2,caspase-3,cleaved-capase-3,TLR4,NF-κB p65,Nrf2,HO-1 in rat brain tissue determined by Western blot.RESULTS Compared with the model group,the groups intervened with edaravone,medium and high dose of Zhuangyao Shuanglu Tongnao Formula displayed improvements in the scores of nerve function defects,the rate of cerebral infarction,the rate of neuronal apoptosis,the levels of IL-6,IL-1β,TNF-α and MDA in the ischemic penumbra of brain tissues,the protein expressions of Bax and TLR4,the ratio of cleaved-capase-3/caspase-3 and p-NF-κB p65/NF-κB p65(P＜0.05),the levels of GSH,the activity of SOD and the protein expressions of Bcl-2,Nrf2 and HO-1(P＜0.05).CONCLUSION Being an inhibitor of oxidative stress and inflammatory response,Zhuangyao Shuanglu Tongnao Formula can alleviate brain injury in rats with cerebral ischemia reperfusion injury through the inhibition of neuronal apoptosis and improvement of neural function mediated by the inhibition of TLR4/NF-κB signal pathway and activation of Nrf2/HO-1 signal pathway.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.