Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Colorectal cancer （CRC） is one of the most common cancers， with its incidence ranking high among cancers. It stands as the second leading cause of cancer-related death worldwide. In the early stages， CRC lacks specific symptoms， and most patients are diagnosed at advanced stages， making it a major research focus in the field of gastrointestinal tumors. Currently， clinical CRC treatments face several common challenges， including high surgical risks， frequent metastasis and recurrence， drug resistance， and significant side effects from chemotherapy and radiation therapy. With the development and application of traditional Chinese medicine （TCM）， it has been found that TCM and its active ingredients can effectively inhibit CRC cell proliferation， invasion， migration， and angiogenesis， and promote apoptosis and autophagy， thereby slowing the progression of CRC. This has become a key focus of CRC treatment research. Salvia Miltiorrhiza has multiple pharmacological effects， including activating blood circulation to dispel blood stasis， unlocking meridians to relieve pain， clearing heat to calm irritability， and cooling blood to reduce abscesses. It contains a variety of chemical components， including diterpenoids， phenolic acids， flavonoids， polysaccharides， nitrogen-containing compounds， steroids， and lactone compounds. This review summarized the molecular mechanisms of Salvia miltiorrhiza and its active ingredients in the treatment of CRC. It is found that these ingredients exert anti-CRC effects through various molecular mechanisms， including cell cycle arrest， promotion of apoptosis， inhibition of cell invasion and migration， induction of autophagy， suppression of tumor angiogenesis， and remodeling of the tumor microenvironment. The review aims to provide new insights for the drug development and clinical application of Salvia miltiorrhiza in CRC treatment.

Lipid turbidity disease is a metabolic disease featuring lipid metabolism disorders caused by many factors such as social environment， diet， and lifestyle， which is closely related to many diseases in modern medicine， such as hyperlipidemia， obesity， fatty liver， atherosclerosis， metabolic syndrome， and cardiovascular and cerebrovascular diseases， with a wide range of influence and far-reaching harm. According to the Huangdi Neijing， lipid turbidity disease reflects the pathological change of the body's physiologic grease. Grease is the thick part of body fluids， which has the function of nourishing， and it is the initial state and source of important substances in the human body such as brain， marrow， essence， and blood. Once the grease of the human body is abnormal， it can lead to lipid turbidity disease. The Huangdi Neijing also points out the physiological relationship between the transportation and transformation of body fluids and the rise and fall of the spleen and stomach， which can deduce the pathological relationship between the occurrence of lipid turbidity disease and the abnormal rise and fall of the spleen and stomach functions. Lipid turbidity disease is caused by overconsumption of fatty and sweet foods or insufficient spleen and stomach endowments， leading to disorders of the function of promoting clear and reducing turbidity in the spleen and stomach. This leads to the transformation of thick grease in body fluids into lipid turbidity， which accumulates in the body's meridians， blood vessels， skin pores， and organs， forming various forms of metabolic diseases. The research team believed that the pathological basis of lipid turbidity disease was the abnormal rise and fall of the spleen and stomach and the obstruction of the transfer of grease. According to the different locations where lipid turbidity stays， it was divided into four common pathogenesis types： ''inability to distinguish between the clear and turbid， turbid stagnation in the Ying blood''， ''spleen not rising clear， turbid accumulation in the vessels''， ''spleen dysfunction， lipid retention in the pores''， ''spleen failure to transportation and transformation， and grease accumulation in the liver''. According to the pathogenesis， it could be divided into four common syndromes， namely， turbid stagnation in the Ying blood， turbid accumulation in the vessels， lipid retention in the pores， and grease accumulation in the liver， and the corresponding prescriptions were given for syndrome differentiation and treatment， so as to guide clinical differentiation and treatment of the lipid turbidity disease.

Objective To analyze the expression level of triggering receptor expressed on myeloid cells-1(TREM-1)in serum and ascites of patients with cirrhotic ascites,and to investigate its correlation with clinical features and inflammatory markers and its role in the diagnosis of infection and prognostic evaluation.Methods A total of 110 patients with cirrhotic ascites who were hospitalized in The Fifth Hospital of Shijiazhuang from January 2019 to December 2020 were enrolled,and according to the presence or absence of intra-abdominal infection,they were divided into infection group with 72 patients and non-infection group with 38 patients.The patients with infection were further divided into improvement group with 38 patients and non-improvement group with 34 patients.Clinical data and laboratory markers were collected from all patients.Serum and ascites samples were collected,and ELISA was used to measure the level of TREM-1.The independent-samples t test was used for comparison of normally distributed continuous data between two groups;the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups,and the Kruskal-Wallis H test was used for comparison between multiple groups;the chi-square test was used for comparison of categorical data between two groups.A Spearman correlation analysis was used to investigate the correlation between indicators.A multivariate Logistic regression analysis was used to identify the influencing factors for the prognosis of patients with cirrhotic ascites and infection.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic and prognostic efficacy of each indicator,and the Delong test was used for comparison of the area under the ROC curve(AUC).Results The level of TREM-1 in ascites was significantly positively correlated with that in serum(r=0.50,P<0.001).Compared with the improvement group,the non-improvement group had a significantly higher level of TREM-1 in ascites(Z=-2.391,P=0.017)and serum(Z=-2.544,P=0.011),and compared with the non-infection group,the infection group had a significantly higher level of TREM-1 in ascites(Z=-3.420,P<0.001),while there was no significant difference in the level of TREM-1 in serum between the two groups(P>0.05).The level of TREM-1 in serum and ascites were significantly positively correlated with C-reactive protein(CRP),procalcitonin(PCT),white blood cell count,and neutrophil-lymphocyte ratio(r=0.288,0.344,0.530,0.510,0.534,0.454,0.330,and 0.404,all P<0.05).The ROC curve analysis showed that when PCT,CRP,and serum or ascitic TREM-1 were used in combination for the diagnosis of cirrhotic ascites with infection,the AUCs were 0.715 and 0.740,respectively.The multivariate Logistic regression analysis showed that CRP(odds ratio[OR]=1.019,95%confidence interval[CI]:1.001-1.038,P=0.043)and serum TREM-1(OR=1.002,95%CI:1.000-1.003,P=0.016)were independent risk factors for the prognosis of patients with cirrhotic ascites and infection,and the combination of these two indicators had an AUC of 0.728 in predicting poor prognosis.Conclusion The level of TREM-1 is closely associated with the severity of infection and prognosis in patients with cirrhotic ascites,and combined measurement of TREM-1 and CRP/PCT can improve the diagnostic accuracy of infection and provide support for prognostic evaluation.

Vascular aging (VA) is a common etiology of various chronic diseases and represents a major public health concern. Intermittent hypoxia (IH) associated with obstructive sleep apnea-hypopnea syndrome (OSAHS) is a primary pathological and physiological driver of OSAHS-induced systemic complications. A substantial proportion of OSAHS patients, estimated to be between 40% and 80%, have comorbidities such as hypertension, heart failure, coronary artery disease, pulmonary hypertension, atrial fibrillation, aneurysm, and stroke, all of which are closely associated with VA. This review examines the molecular and cellular features common to both OSAHS and VA, highlighting decreased melatonin secretion, impaired autophagy, increased apoptosis, increased inflammation and pyroptosis, increased oxidative stress, accelerated telomere shortening, accelerated stem cell depletion, metabolic disorders, imbalanced protein homeostasis, epigenetic alterations, and dysregulated neurohormonal signaling. The accumulation and combination of these features may underlie the pathophysiological link between OSAHS and VA, but the exact mechanisms by which OSAHS affects VA may require further investigation. Taken together, these findings suggest that OSAHS may serve as a novel risk factor for VA and related vascular disorders, and that targeting these features may offer therapeutic potential to mitigate the vascular risks associated with OSAHS.
Humans ; Sleep Apnea, Obstructive/pathology* ; Aging/physiology* ; Oxidative Stress/physiology* ; Animals

BACKGROUND: While emotional distress, encompassing anxiety and depression, has been associated with negative clinical outcomes, its impact across various clinical departments and general hospitals has been less explored. Previous studies with limited sample sizes have examined the effectiveness of specific treatments (e.g., antidepressants) rather than a systemic management strategy for outcome improvement in non-psychiatric inpatients. To enhance the understanding of the importance of addressing mental health care needs among non-psychiatric patients in general hospitals, this study retrospectively investigated the impacts of emotional distress and the effects of early detection and management of depression and anxiety on hospital length of stay (LOS) and rate of long LOS (LLOS, i.e., LOS >30 days) in a large sample of non-psychiatric inpatients. METHODS: This retrospective cohort study included 487,871 inpatients from 20 non-psychiatric departments of a general hospital. They were divided, according to whether they underwent a novel strategy to manage emotional distress which deployed the Huaxi Emotional Distress Index (HEI) for brief screening with grading psychological services (BS-GPS), into BS-GPS ( n = 178,883) and non-BS-GPS ( n = 308,988) cohorts. The LOS and rate of LLOS between the BS-GPS and non-BS-GPS cohorts and between subcohorts with and without clinically significant anxiety and/or depression (CSAD, i.e., HEI score ≥11 on admission to the hospital) in the BS-GPS cohort were compared using univariable analyses, multilevel analyses, and/or propensity score-matched analyses, respectively. RESULTS: The detection rate of CSAD in the BS-GPS cohort varied from 2.64% (95% confidence interval [CI]: 2.49%-2.81%) to 20.50% (95% CI: 19.43%-21.62%) across the 20 departments, with a average rate of 5.36%. Significant differences were observed in both the LOS and LLOS rates between the subcohorts with CSAD (12.7 days, 535/9590) and without CSAD (9.5 days, 3800/169,293) and between the BS-GPS (9.6 days, 4335/178,883) and non-BS-GPS (10.8 days, 11,483/308,988) cohorts. These differences remained significant after controlling for confounders using propensity score-matched comparisons. A multilevel analysis indicated that BS-GPS was negatively associated with both LOS and LLOS after controlling for sociodemographics and the departments of patient discharge and remained negatively associated with LLOS after controlling additionally for the year of patient discharge. CONCLUSION Emotional distress significantly prolonged the LOS and increased the LLOS of non-psychiatric inpatients across most departments and general hospitals. These impacts were moderated by the implementation of BS-GPS. Thus, BS-GPS has the potential as an effective, resource-saving strategy for enhancing mental health care and optimizing medical resources in general hospitals.
Humans ; Retrospective Studies ; Male ; Length of Stay/statistics & numerical data* ; Female ; Middle Aged ; Adult ; Psychological Distress ; Inpatients/psychology* ; Aged ; Anxiety/diagnosis* ; Depression/diagnosis*

Objective To explore the value of a combined model based on high-kilovoltage CT radiomics and clinical factors for predicting monosodium urate(MSU)crystal deposition in gouty arthritis.Methods The clinical data of 136 patients with MSU crystal deposition adjacent to joints confirmed by dual-energy CT(DECT)and 79 patients with non-MSU calcifications adjacent to joints were retrospectively analyzed.The dataset was randomly divided into a training set(n=150)and a validation set(n=65)at a ratio of 7:3 for the construction of predictive models.Radiomic features were extracted from high-kilovolt(135 kV)images,and 20 radiomic features were selected using minimum redundancy-maximum relevance and least absolute shrinkage and selection operator(LASSO)regression.Logistic regression,light gradient boosting machine(LightGBM),and support vector machine models were built based on the selected features,and the best-performing model was identified.Multivariate logistic regression analysis was used to screen for risk factors associated with MSU crystal deposition adjacent to joints.A nomogram model was then constructed by integrating radiomic features and clinical variables.The diagnostic performance of the models was evaluated by means of the receiver operating characteristics(ROC)area under the curve(AUC).Results Multivariate logistic regression analysis revealed that CT value was an independent risk factor for MSU crystal deposition adjacent to joints(P<0.001).Among the three machine-learning models,the LightGBM model demonstrated the best predictive performance and good dataset robustness.Therefore,the nomogram was constructed using the LightGBM model.The AUCs of the nomogram model for predicting MSU crystal deposition in the training and validation sets were 0.932 and 0.856,respectively,both exceeding 0.85 and significantly higher than those of the clinical model(De-long test,P<0.05).No statistically significant difference was observed between nomogram model and radiomics model(De-long test,P>0.05).Conclusions High-kilovoltage CT radiomics analysis can predict MSU crystal deposition adjacent to joints.The nomogram model and the radiomics model both demonstrate high diagnostic performance,which can provide valuable references for clinical decision-making.

Objective To observe the value of training about ovarian-adnexal reporting and data system((O-RADS)for risk stratification of adnexal lesions diagnostic efficacy of different seniority physicians before and after training.Methods A total of 575 O-RADS 1-5 point lesions from 470 patients who received non-contrast enhanced pelvic MR and dynamic contrast-enhanced MRI(DCE-MRI)were retrospectively included.The lesions were scored by 1 junior radiologist(radiologist A)and 1 senior radiologist(radiologist B)independently according to O-RADS risk stratification,and the results were recorded as R1 and R2,respectively.Three months later,the lesions were rescored by radiologist A and B after receiving systematic training from gynecological imaging experts,and the results were recorded as R11 and R22,respectively.Two gynecological imaging experts conducted a consensus scoring,and the results were recorded as R0.Taken O-RADS score＞3 as the criterion for malignant,the diagnostic efficacy of radiologist A and B before and after training were evaluated,while taken R0 as the reference,the intra-observer,inter-observer consistency between radiologist A and B,as well as their consistency with R0 were calculated.Results The diagnostic sensitivity and specificity of R0 was 95.21%and 93.14%,respectively.The diagnostic sensitivity of radiologist A before and after training was 92.22%and 95.21%,with specificity of 83.33%and 89.46%,respectively.For radiologist B,the sensitivity before and after training was 95.81%and 95.21%,with specificity of 92.89%and 91.91%,respectively.Good intra-observer consistency of O-RADS score was observed both in radiologist A and B,with Kappa value of 0.845 and 0.884,respectively,which also noticed between radiologist A and B,with Kappa value of 0.761,and the Kappa value of R1,R2 and R0 was 0.781 and 0.911,respectively.After training,the inter-observer consistency of radiologist A and B increased,and Kappa value of R11,R22 and R0 was 0.844 and 0.915,respectively.Conclusion Training about O-RADS for risk stratification was helpful to improving diagnostic specificity of benign and malignant adnexal lesions,especially for junior radiologists.

During sudden outbreaks of major infectious diseases,traditional vaccine clinical trials often fail to deliver timely and meaningful outcomes.To address this,innovative trial designs are essential to accelerate or restructure the traditional three-phase clinical trial process while maintaining adherence to scientific principles of drug candidate safety and efficacy.This paper presents various innovative vaccine clinical trial designs and concepts,along with critical considerations for their application,to serve as a methodological reference for related research.Adaptive designs provide flexibility by dynamically adjusting trial parameters—such as dose selection,population stratification,and sample size reestimation—based on interim analysis results.Bayesian designs incorporate historical data and prior information,reducing sample size requirements.Master protocol designs enable the evaluation of multiple treatments or target populations within a unified framework,significantly improving efficiency.Additionally,real-world data(RWD),including electronic health records vaccination records and insurance claims,supports the creation of virtual control groups,addressing ethical concerns while enhancing trial feasibility.A hybrid design combining randomized controlled trials(RCTs)with RWD is also proposed to leverage the strengths of both methodologies.These innovative designs optimize the research process,accelerating vaccine development and regulatory approval.By integrating these approaches,robust evidence-based insights can be generated,advancing precision medicine goals and strengthening public health responses to emerging infectious diseases.