The research and development of innovative drug have progressed remarkably, but the long development circle and high failure rate have become the bottleneck. Drug repurposing, discovering new indications of approved drugs, is a strategy to overcome these obstacles. By exploring new indications for approved drugs, rapid progress has been made in basic research and clinical translation in recent years. Rich resources of drugs, proven security, efficient development workflow and reduced cost are core advantages of this strategy, making the strategy a crucial direction of optimizing the pipeline of drug research and development. This review systematically summarizes drug repurposing cases that have received clinical approval over the past five years, and proposes core strategies for drug repurposing, including approaches based on targets, pathways, drug similarity, post-treatment phenotypes, and clinical side effects, aiming to provide some strategic guidance for drug repurposing efforts.

This paper explores the research progress of acupuncture for the prevention and treatment of Alzheimer's disease (AD) based on the "kidney-governor vessel-brain" axis. According to the fundamental pathogenesis of AD in traditional Chinese medicine (TCM), which attributes to kidney deficiency, marrow depletion, and impaired mental faculties, as well as the governor vessel's connection between the kidney and brain, the concept of the "kidney-governor vessel-brain" axis is proposed. The theoretical basis of the "kidney-governor vessel-brain" axis is analyzed based on the meridian pathway and physiological functions of the governor vessel, as well as the interdependent and mutually reinforcing relationships among the kidney, governor vessel, and brain. The relationship between AD and the "kidney-governor vessel-brain" axis is elucidated from both traditional medical theories and modern biological perspectives. Integrating clinical and mechanistic research on AD prevention and treatment based on this axis, it is suggested that the "kidney-governor vessel-brain" axis provides valuable insights and references for future research on AD prevention and treatment.
Humans ; Alzheimer Disease/physiopathology* ; Acupuncture Therapy ; Kidney/blood supply* ; Brain/blood supply* ; Meridians ; Blood Vessels/physiopathology*

The therapeutic effects of Yueju Pills on depression and cardiovascular diseases have been widely recognized. Previous studies have shown that the drug can significantly improve depressive-like behaviors induced by chronic unpredictable mild stress(CUMS) combined with atherosclerosis(AS). Given the complex pathogenesis of psychocardiac diseases, this study integrated metabolomics and network pharmacology to systematically elucidate the mechanism of Yueju Pills in alleviating depressive symptoms in psychocardiac diseases. The results demonstrate that, after Yueju Pill intervention, the levels of 9 abnormal metabolites in the hippocampus restore to normal ranges, primarily involving key pathways or signaling pathways, including the cyclic adenosine monophosphate(cAMP), mammalian target of rapamycin(mTOR), glycine/serine/threonine metabolism, and aminoacyl-tRNA biosynthesis. In a high-fat diet-induced CUMS ApoE~(-/-) mouse model, Yueju Pills significantly increases adenosine monophosphate(AMP) levels and decreases L-alanine and D-glyceric acid levels in the hippocampus. In conclusion, Yueju Pills exert antidepressant effects by regulating multiple metabolic axes, including glycine/serine/threonine metabolism and the cAMP, mTOR signaling pathways. Network pharmacology predictions reveal that the treatment of CUMS combined with AS by its core active components may be realized through modulating pathways concerning neuroinflammation and synaptic plasticity, including serine/threonine-protein kinase 1(AKT1), mitogen-activated protein kinase 1(MAPK1), and prostaglandin-endoperoxide synthase 2(PTGS2). This study provides a theoretical reference for the clinical application of Yueju Pills in alleviating the depressive symptoms of psychocardiac diseases.
Animals ; Network Pharmacology ; Mice ; Drugs, Chinese Herbal/administration & dosage* ; Metabolomics ; Male ; Depression/genetics* ; Humans ; Hippocampus/drug effects* ; Mice, Inbred C57BL ; Signal Transduction/drug effects*

This study was aimed at determining the molecular characteristics of Yersinia pestis in the natural plague foci around Qinghai Lake through single nucleotide polymorphism technology,to lay a foundation for molecular epidemiological and source-tracing analysis of Y.pestis in this area.Using the whole genome sequencing technology,we obtained the whole genome sequences of 84 representative Y.pestis strains.Using the sequences of Y.pestis and Yersinia pseudotuberculosis IP32953 from the NCBI database as references,we compared and analyzed the 2 298 SNP loci of these strains.From 1957 to 2020,84 representative strains of Y.pestis from the natural plague foci around Qinghai Lake were divided into two clades:1.IN2 and 3.ANT1.The 1.IN2 clade was the characteristic population of Y.pestis throughout all epidemic years in this area.Additionally,analysis of the SNP distribution and hosts in the region indicated that the 1.IN2 clade was located in five counties except Wulan,whereas the 3.ANT1 clade was isolated from Himalayan marmot and dog in two counties.In conclusion,the population structure of SNP of Y.pestis in the natural plague foci around Qinghai Lake is relatively simple,and SNP analysis of Y.pestis provided a scientific basis for tracing plague epidemic sources and formulating plague prevention and control measures in this area.

Objective:This study aims to analyze the gamma band effective connectivity characteristics of the prefrontal-striatal circuitry in bipolar disorder patients with and without a history of manic episodes, as well as in major depressive disorder patients, during the recognition of positive emotional faces, this study aims to identify unique neurophysiological features that may aid in the early detection of bipolar disorder.Methods:This retrospective study collected clinical data and magnetoencephalography (MEG) imaging data from patients performing a positive emotional face recognition task at the Affiliated Brain Hospital of Nanjing Medical University from May 2009 to December 2019. The study included 75 patients with major depressive disorder and 29 patients with bipolar disorder in a depressive episode (rBD group). Concurrently, 39 age-and gender-matched healthy controls (HC group) were recruited. After a follow-up period of at least 5 years, 23 out of the 75 patients with major depressive disorder converted to bipolar disorder (ctBD group), while the remaining 52 who did not convert maintained a diagnosis of major depressive disorder.Results:There were statistically significant differences in gamma-band effective connectivity in the prefrontal-striatal circuit when recognizing positive emotional faces among the converted to bipolar disorder (ctBD), raw bipolar disorder, major depressive disorder, and HC groups ( H=9.04, 10.30, 8.30, 13.43, 14.38, 12.62, 9.82, 8.94, 24.62, 7.89, 18.53, 9.97, 9.58, 12.79, P<0.05). The ctBD group, rBD group, and major depressive group all showed reduction in effective connectivity from the right orbital inferior frontal gyrus (ORBinf.R) to the left orbital inferior frontal gyrus (ORBinf.L) [ Z=-1.98, -3.38, -2.88], from the right orbital inferior frontal gyrus to the right ventral striatum (VS.R) ( Z=-2.05, -2.76, -2.11; P<0.05) and from the left ventral striatum (VS.L) to the left orbital middle frontal gyrus (ORBmid.L) ( Z=-2.76, -1.98, -2.43; P<0.05). Among the disease groups, the ctBD group showed significantly enhanced effective connectivity strength compared to the major depressive group from the right amygdala (AMYG.R) to the left orbital inferior frontal gyrus(0.04(0.03, 0.08)), from the right amygdala to the left ventral striatum(0.05(0.03, 0.09)), and from the right ventral striatum to the right anterior cingulate and paracingulate gyri (ACG.R) (0.04(0.02, 0.08)) ( Z=4.17, 3.70, 3.35; P<0.001).The ctBD group also exhibited enhanced effective connectivity compared to the rBD group from ORBinf.R to the ACG.R, fron the AMYG.R to the ORBinf.L, from the AMYG.R to the VS.L, and from the VS.R to the ACG.R ( Z=2.05, 4.61, 3.60, 3.04; P<0.05).The rBD group demonstrated reduced effective connectivity compared to the major depressive disorder group from the right orbital middle frontal gyrus(ORBmid.R) to the left anterior cingulate and paracingulate gyri (ACG.L), ORBinf.R to the ACG.R and from the ORBinf.R to the AMYG.R ( Z=-2.12, -2.40, -2.22; P<0.05). Conclusion:There are significant differences in the gamma-band effective connectivity characteristics of the prefrontal-striatal pathway when recognizing positive emotional faces between patients with bipolar disorder in depressive episodes and those with depression, as well as differences between bipolar depressed patients with and without a history of manic episodes.

Objective:To explore the neurophysiological features of the prefrontal-limbic-striatal circuit in patients with early-stage bipolar disorder without manic or hypomanic episodes, and its role in identifying early-stage bipolar disorder.Methods:From 2009 to 2019, a total of 155 hospitalized patients with major depressive disorder (MDD) from Nanjing Brain Hospital were selected after at least 5 years of follow-up, 31 patients with depression transitioned to bipolar disorder(ctBD group) and 76 patients remained the diagnosis of MDD(MDD group) were recruited.Sixty-two healthy controls matched for age, gender, and education years were selected as control group(HC group). Resting-state magnetoencephalography (MEG) data in eyes-open state of all subjects were collected.Data were analyzed based on the fieldtrip toolkit on the MATLAB platform. The key brain area of the prefrontal-limbic-striatal circuit were selected. Inter-group statistical analysis were conducted on the spectral energy and power-correlated functional connectivity at the theta, alpha, beta, and gamma frequency bands in the brain area of interest. In addition, the prediction model was constructed to early recognize bipolar disorder.Results:(1)There were statistically significant differences in the spectral energy of theta and alpha frequency bands in the prefrontal-limbic-striatal circuit among the 3 groups (cluster- F=120.50, 112.39, both P<0.05). The spectral energy of theta and alpha frequency bands in interest brain regions of prefrontal-limbic-striatal circuit in MDD group was lower than that in HC group (cluster- t=89.52, P<0.05). The spectral energy of theta band in prefrontal-limbic-striatal circuit in ctBD group was lower than that in HC group(cluster- t=105.82, P<0.05), and the spectral energy of alpha band in inferior frontal gyrus, orbitofrontal gyrus and caudate nucleus was lower than that in HC group (cluster- t=75.78, P<0.05), while there was no significant difference between the MDD group and the ctBD group ( P>0.05).(2)After FDR correction, there were statistically significant differences in functional connectivity between the left orbitofrontal gyrus and the right ventral striatum among the three groups (0.26 (0.13, 0.34), 0.12 (0.09, 0.24), 0.27 (0.20, 0.37), H=13.51, P<0.05, FDR correction). The strength of functional connectivity between the left orbitofrontal gyrus and the right ventral striatum in the MDD group was weaker than that in the HC group and the ctBD group (all P<0.05).(3)Binary Logistic regression analysis showed that the functional connectivity of beta frequency band between the left orbitofrontal gyrus and the right ventral striatum ( B=1.50, OR=4.50, 95% CI=1.73-11.70), the functional connectivity between the right orbitofrontal gyrus and the right amygdala( B=0.98, OR=2.68, 95% CI=1.18-6.13), the total HAMD score ( B=0.80, OR=2.28, 95% CI=1.36-3.67), the body weight factor score ( B=-1.99, OR=0.14, 95% CI=0.04-0.45), the anxiety factor score ( B=-0.99, OR=0.37, 95% CI=0.19-0.71), and sleep factor score( B=-1.14, OR=0.32, 95% CI=0.16-0.65)were the influencing factors for depression transitioned to bipolar disorder. Conclusion:The decreased resting low-frequency energy in the prefrontal-limbic-striatal circuit may be the common neural basis for the onset of unipolar and bipolar depression, and enhanced functional connectivity may be a potential neural circuit mechanism for depression transitioned to bipolar disorder. Functional connectivity combined with clinical manifestations is helpful for early recognition of bipolar disorder.

Background and purpose:Gastric cancer,as one of the most common malignant tumors,requires early diagnosis and treatment to improve patient prognosis.This study,based on serum quantitative proteomics research of early-stage gastric cancer patients and non-gastric cancer patients,aims to identify potential diagnostic biomarkers for early gastric cancer.Methods:Serum samples from primary gastric cancer patients and healthy control individuals were collected from Lanzhou University Second Hospital between June and December 2023,following inclusion and exclusion criteria.A protein spectral library was established using Data-Dependent Acquisition(DDA)mode,and each sample was analyzed using Data-Independent Acquisition(DIA)mode.The STRING database was used to analyze protein-protein interactions of upregulated proteins in gastric cancer serum.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)were used to analyze the pathways and functional annotations of the corresponding genes.Gene expression levels in gastric cancer and non-gastric cancer tissues were analyzed using GEPIA 2,and overall survival of each gene in gastric cancer was analyzed using Kaplan-Meier Plotter.Differential gene expression in clinical gastric cancer and adjacent tissues was validated by quantitative reverse transcription polymerase chain reaction(qRT-PCR)This study was approved by the Ethics Committee of Lanzhou University Second Hospital(Ethical No.:2023A-459)and was exempt from the informed consent.Results:Finally,serum samples from 30 primary gastric cancer patients,29 healthy control individuals,along with the para-cancerous tissues from 8 patients were collected.A total of 666 intersecting proteins were identified through serum quantitative proteomics.Among them,16 proteins showed upregulated expression and 22 proteins showed downregulated expression in the gastric cancer group(P＜0.05,|FC|≥1.5).STRING database analysis showed that 10 upregulated proteins were involved in interaction networks.KEGG and GO analysis indicated that these genes were closely related to the biological processes of cancer occurrence and development.GEPIA 2 and Kaplan-Meier Plotter analysis showed that 6 genes,B2M,TAGLN2,CTSD,HSP90AB1,SH3BGRL3,and CFL1,which were highly expressed in the gastric cancer group(P＜0.05)and associated with poor prognosis.Clinical verification by qRT-PCR confirmed that TAGLN2,CTSD,SH3BGRL3,CFL1 and HSP90AB1 were highly expressed in gastric cancer tissues(P＜0.05).Conclusion:TAGLN2,CTSD,SH3BGRL3,CFL1,and HSP90AB1 have the potential to serve as clinical early gastric cancer diagnostic serum biomarkers,which may facilitate early diagnosis and treatment of gastric cancer.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Objective To observe the value of spectral CT material separation technology for diagnosing traumatic bone marrow edema in limbs.Methods Totally 51 patients with limb traumatic bone marrow edema were retrospectively enrolled and divided into young group(n=26,18-43 years)and middle-aged group(n=25,46-74 years).Taken MRI as reference standard,the efficacy of spectral CT Water-hydroxyapatite(HAP)image for diagnosing bone marrow edema in trauma area was analyzed,and the Water-HAP density values were compared between groups.Results No significant difference of diagnosing bone marrow edema was found between spectral CT and MRI(x2=0.201,P=0.654),and the consistency was high(Kappa=0.774).Water-HAP density value in bone marrow edema area was higher than that in non bone marrow edema area(t=24.634,P＜0.05),and no significant difference of Water-HAP density values in bone marrow edema area nor non bone marrow edema area was found between young group and middle-aged group(both P＞0.05).Conclusion Spectral CT material separation technology was helpful for diagnosing traumatic bone marrow edema in limbs.

Objective To apply a random forest model combined with logistic regression in the understudied area of pneumoconiosis complications,and to investigate the incidence and risk factors of pneumoconiosis complicated by bacterial pneumonia,and the effect of concomitant bacterial pneumonia on the survival and prognosis of patients with pneumoconiosis.Methods Pneumoconiosis patients admitted to the West China Fourth Hospital,Sichuan University,between January 2018 and April 2022 were enrolled and divided into a group of those with only pneumoconiosis and another group of those with pneumoconiosis complicated by bacterial pneumonia.Univariate analyses,including chi-squared test,t-test,or rank sum test,were conducted to examine the differences between the groups.A random forest model was used to screen the variables,and the risk factors of pneumoconiosis complicated by bacterial pneumonia were identified by stepwise forward logistic regression method.Cox regression was applied to the survival data to assess the effect of concomitant bacterial pneumonia on the survival and prognosis of pneumoconiosis patients.Results Among the 742 pneumoconiosis patients,536 cases(72.24%)had concomitant bacterial pneumonia.Among the 55 deaths,36 cases(65.45%)had concomitant bacterial pneumonia.Univariate analysis showed statistically significant differences in age,duration of disease,lung function,duration of exposure,lung lavage,pulmonary tuberculosis,and emphysema between the two groups(P<0.05).The variables were screened using the random forest model,and the risk factors were ranked in a descending order of their importance—the types of dust,duration of exposure,lung function,lung lavage,and pulmonary tuberculosis.After screening,multivariate logistic regression analysis showed that the types of dust(compared with silica dust,silicate dust:odd ratio[OR]=8.100,95%CI,1.386-47.331;carbon dust:OR=1.728,95%CI,1.034-2.887;artificial inorganic dust:OR=2.138,95%CI,1.146-3.988),impaired lung function(compared with undamaged lung function group,the group of patients with mild,moderate,and moderately severe damage:OR=2.292,95%CI,1.482-3.544),and pulmonary tuberculosis(OR=1.559,95%CI,1.071-2.271)were risk factors for pneumoconiosis complicated by bacterial pneumonia.The median follow-up was 30.0 months,ranging from 1.0 month to 64.0 months.Cox regression analysis showed that the mortality risk for pneumoconiosis patients with concomitant bacterial pneumonia was 2.369 times higher than that for patients without bacterial pneumonia(95%CI,1.286-4.367).Conclusion Pneumoconiosis patients are susceptible to bacterial pneumonia and are influenced by multiple risk factors.Concomitant bacterial pneumonia markedly affects the patient prognosis.