Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Accurate determination of the thickness of multi-layered nanofilm materials is of great importance to advance the development of thin film deposition technology and ensure the quality assurance of photovoltaic materials.Laser ablation inductively coupled plasma mass spectrometry(LA-ICP-MS)has been successfully employed for depth profiling of thin film materials,such as metal coatings.However,the accuracy of interface discrimination and thin layer thickness measurement is limited by the mixing effects of elemental signals.In this work,a high-depth resolution method for measuring the thin film thickness of lead sulfide(PbS)colloidal quantum dot(CQD)photovoltaic devices by LA-ICP-MS was introduced.The influence of different laser parameters on the mixing effects of element signals during the ablation process was compared,and the results showed that the laser ablation behavior of multi-layered nanofilm materials were improved and the mixing of element signals were reduced by optimizing parameters such as laser energy density and spot diameter.Meanwhile,a self-developed aerosol rapid wash-out small volume tubular ablation cell was used to effectively improve the aerosol transport efficiency,and the wash-out time of aerosol was(1.60±0.6)s.Compared with commercial cylindrical ablation cells,the depth profile of multi-layer thin film samples was clearer.The depth profile of the interlayer interface showed a significant melting phenomenon during the ablation of the PbS CQD layer,leading to severe mixing of elemental signals at the PbS/ZnO layer interface.Under the conditions such as 2.5 J/cm2 laser energy,32 μm spot diameter,and 1 Hz repetition rate,the average ablation rates of Au,PbS and ZnO layers in PbS CQD photovoltaic devices were(60±2)nm/pulse,(69±5)nm/pulse,and(22±2)nm/pulse,with depth resolution of(26±2)nm,(213±11)nm,and(68±6)nm,respectively.The thickness of PbS CQD photovoltaic device films from the same batch was determined,and the test results exhibited good consistency with scanning electron microscope(SEM)measurement values,with a relative deviation of less than 6％.This method could accurately determine the thickness of nanoscale multilayer thin film samples,which was crucial for improving the performance of photovoltaic devices and controlling product quality.

This paper investigates the mechanism of radio-frequency(RF)heating that occurs when two adjacent orthopedic implants are present together under magnetic resonance imaging(MRI)at 1.5 Tesla and 3.0 Tesla.When a patient has multiple implants close to each other,interactions between the implants may increase RF heating.Typical generic interlocking plate and antibiotic nail implants are adopted as examples.To analyze the effect of adjacent implants,the amplitude and direction of incident and scattering vector electric fields at the hot spot position are calculated and extracted using numerical simulation based on Huygens principle.It is shown that a strong coupling effect occurs due to the existence of both the incident field and a strong scattering field.Huygens principle can be used to obtain the first and second order scattering fields generated between implants.If the first-and second-order electric field terms are summed within a certain region,the RF-induced heating of this dual-implant system increases.

Objective:To explore the role of NK cells in allogeneic hematopoietic stem cell micro-transplantation(MST)in the treatment of patients with acute myeloid leukemia(AML).Methods:Data from 93 AML patients treated with MST at our center from 2013-2018 were retrospectively analyzed.The induction regimen was anthracycline and cytarabine combined with peripheral blood stem cells transplantation mobilization by granulocyte colony stimulating factor(GPBSC),followed by 2-4 courses of intensive treatment with medium to high doses of cytarabine combined with GPBSC after achieving complete remission(CR).The therapeutic effects of one and two courses of MST induction therapy on 42 patients who did not reach CR before transplantation were evaluated.Cox proportional hazards regression analysis was used to analyze the impact of donor NK cell dose and KIR genotype,including KIR ligand mismatch,2DS1,haplotype,and HLA-Cw ligands on survival prognosis of patients.Results:Forty-two patients received MST induction therapy,and the CR rate was 57.1％after 1 course and 73.7％after 2 courses.Multivariate analysis showed that,medium and high doses of NK cells was significantly associated with improved disease-free survival(DFS)of patients(HR=0.27,P=0.005;HR=0.21,P=0.001),and high doses of NK cells was significantly associated with improved overall survival(OS)of patients(HR=0.15,P=0.000).Donor 2DS1 positive significantly increases OS of patients(HR=0.25,P=0.011).For high-risk patients under 60 years old,patients of the donor-recipient KIR ligand mismatch group had longer DFS compared to the nonmismatch group(P=0.036);donor 2DS1 positive significantly prolonged OS of patients(P=0.009).Conclusion:NK cell dose,KIR ligand mismatch and 2DS1 influence the therapeutic effect of MST,improve the survival of AML patients.

Objective:To investigate the effectiveness and safety of domestic upper gastrointestinal endoscopic ultrasound (EUS).Methods:A total of 160 patients undergoing EUS at Shengjing Hospital of China Medical University (Center1) and Shenzhen People's Hospital (Center 2) from March to July 2021 were randomly selected by stratified blocked randomization, and were treated with SonoScape EG-UG5T (the test group) or Fujifilm EG-580UT (the control group). The primary outcome was the ultrasound image quality excellence rate, and the comparison was verified by non-inferiority. The secondary outcomes were the endoscopic image quality excellence rate, the operational performance excellence rate, and the system stability evaluation. The safety evaluation was based on the occurrence of intraoperative and postoperative adverse events in the subjects.Results:In the intention-to-treat analysis set (ITT), the excellence rate of ultrasound image quality in the test group and the control group was 100.0% (78/78) and 100.0% (77/77), respectively. The rate difference between the two groups was 0.0% (95% CI: -4.7%-4.8%). In the per protocol analysis set (PPS), the excellence rate of ultrasound image quality in the test group and the control group was 100.0% (78/78) and 100.0% (75/75), respectively. The rate difference between the two groups was 0.0% (95% CI: -4.7%-4.9%). The lower limit of the confidence interval of ultrasound image quality excellence rate of both data sets was greater than the non-inferiority threshold value of -8%, which inferred that the non-inferiority hypothesis of the test machine non-inferior to the control machine was valid. The endoscopic image quality excellence rate and the operational performance excellence rate of the test group and the control group was 100.0% in both the ITT and PPS analyses, and there was no statistically significant difference between the two groups ( P=1.000). The system instability event rate was 0.0% (0/78) in the test group and 3.9% (3/77) in the control group ( P=0.120). No adverse event occurred in either group. Conclusion:The domestic upper gastrointestinal endoscopic ultrasound is standard-compliant for clinical application under normal conditions in terms of effectiveness, safety, and stability.

Janus kinase (JAK) and histone deacetylase (HDAC) referred to as crucial targets in autoimmune diseases and cancers have achieved quite success in the treatment of these diseases. Until now, several JAK and HDAC inhibitors have been approved. Recently, developing single multi-targeting inhibitors including JAK/HDAC dual inhibitors based on network pharmacology has made significant progress in improving therapeutic efficacy, reducing toxic and side effects, and overcoming drug resistance. In this review, we summarize novel JAK/HDAC dual inhibitors as well as JAK/HDAC-based triple-targeting inhibitors, in order to provide reference for the discovery of novel JAK/HDAC dual inhibitor.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

This study explored the medication rules of Chinese herbal compound prescriptions for the treatment of angina based on the Chinese herbal compound patents in the patent database of the China National Intellectual Property Administration. The data of eligible Chinese herbal compound patents for the treatment of angina were collected from the patent database of the China National Intellectual Property Administration from database inception to November 10, 2022, and subjected to data modeling, analysis of main syndromes, medication frequency analysis, cluster analysis, association rule analysis, and data visualization by using Excel 2021, IBM SPSS Statistics 26.0, IBM SPSS Modeler 18.0, Cytoscape 3.9.1, and Rstudio R 4.2.2.2 to explore the medication rules for angina. The study included 636 pieces of patent data for angina that met the inclusion criteria, involving 815 drugs, with a total frequency of 6 586. The most common main syndromes were blood stasis obstructing the heart syndrome(222, 34.91%) and Qi deficiency and blood stasis syndrome(112, 17.61%). The top 10 most frequently used drugs were Salviae Miltiorrhizae Radix et Rhizoma, Chuanxiong Rhizoma, Notoginseng Radix et Rhizoma, Astragali Radix, Angelicae Sinensis Radix, Carthami Flos, Glycyrrhizae Radix et Rhizoma, Ginseng Radix et Rhizoma, Borneolum Syntheticum, and Corydalis Rhizoma. High-frequency drugs included blood-activating and stasis-resolving drugs(1 197, 18.17%) and deficiency-tonifying drugs(809, 12.28%). Cluster analysis identified eight drug combinations, including five new prescriptions suitable for clinical use and new drug development, and three drug pairs. The core drug combination of Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Carthami Flos was identified through the complex co-occurrence network analysis of Chinese medicines. Association rule analysis yielded a total of 17 rules, including 13 drug pairs and 4 tripartite combinations. Common drug pairs included Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma(support degree 25.79%, confidence coefficient 69.49%, lift 1.30) and Salviae Miltiorrhizae Radix et Rhizoma-Notoginseng Radix et Rhizoma(support degree 22.01%, confidence coefficient 61.95%, lift 1.16). Common tripartite combinations included Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Astragali Radix(support degree 10.85%, confidence coefficient 73.40%, lift 1.37) and Salviae Miltiorrhizae Radix et Rhizoma-Chuanxiong Rhizoma-Notoginseng Radix et Rhizoma(support degree 10.69%, confidence coefficient 79.07%, lift 1.48). The results showed that the underlying pathogenesis of angina involved blood stasis obstructing the heart and Qi deficiency and blood stasis. The overall nature of the disease was characterized as asthenia in origin and sthenia in superficiality. In the prescription formulation, blood-activating and stasis-resolving drugs, such as Salviae Miltiorrhizae Radix et Rhizoma, Chuanxiong Rhizoma, and Carthami Flos were often used to resolve the excess manifestation, which were combined with tonifying drugs such as Astragali Radix, Angelicae Sinensis Radix, Glycyrrhizae Radix et Rhizoma, and Ginseng Radix et Rhizoma to reinforce the deficiency. The syndrome, pathogenesis, disease nature, and medication were consistent with clinical practice. Additionally, the new compound prescriptions and drug combinations derived from the multiple data mining in this study could provide references and insights for the clinical diagnosis and treatment of angina and the development of new drugs.
Humans ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Angina Pectoris/drug therapy* ; Prescriptions ; Data Mining ; Drug Combinations

From the fungus Trichoderma sp., we isolated seven novel 18-residue peptaibols, neoatroviridins E-K (1-7), and six new 14-residue peptaibols, harzianins NPDG J-O (8-13). Additionally, four previously characterized 18-residue peptaibols neoatroviridins A-D (14-17) were also identified. The structural configurations of the newly identified peptaibols (1-13) were determined by comprehensive nuclear magnetic resonance (NMR) and high-resolution electrospray ionization tandem mass spectrometry (HR-ESI-MS/MS) data. Their absolute configurations were further determined using Marfey's method. Notably, compounds 12 and 13 represent the first 14-residue peptaibols containing an acidic amino acid residue. In antimicrobial assessments, all 18-residue peptaibols (1-7, 14-17) exhibited moderate inhibitory activities against Staphylococcus aureus 209P, with minimum inhibitory concentration (MIC) values ranging from 8-32 μg·mL^-1. Moreover, compound 9 exhibited moderate inhibitory effect on Candida albicans FIM709, with a MIC value of 16 μg·mL^-1.
Peptaibols/chemistry* ; Trichoderma/metabolism* ; Tandem Mass Spectrometry/methods* ; Anti-Infective Agents/pharmacology* ; Spectrometry, Mass, Electrospray Ionization/methods*