ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4⁺ T, regulatory CD4⁺ T, CD4⁺ Th17, exhausted CD8⁺ T, cytotoxic CD8⁺ T, proliferated CD8⁺ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans ; Colorectal Neoplasms/drug therapy* ; Male ; Female ; Immunotherapy ; Middle Aged ; Aged ; Tumor Microenvironment/immunology* ; Retrospective Studies ; Microsatellite Instability ; Transcriptome ; Single-Cell Analysis ; Programmed Cell Death 1 Receptor/immunology* ; Gene Expression Profiling ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*

OBJECTIVE To establish the ultra-high liquid chromatography （UPLC） characteristic spectrum of Uncariae Ramulus Cum Uncis from different producing areas， to conduct chemical pattern recognition analysis， and to identify the medicinal materials of their different origins and counterfeit products. METHODS UPLC method was adopted to establish the characteristic spectra of 43 batches of Uncariae Ramulus Cum Uncis from different origins； cluster analysis combined with principal component analysis were used to analyze their quality； Uncariae Ramulus Cum Uncis from different origins and counterfeit products were identified. RESULTS UPLC specific spectrum of Uncariae Ramulus Cum Uncis was established， and 13 common peaks were calibrated； peak 2 was identified as catechin， peak 3 as chlorogenic acid， peak 4 as cryptochlorogenic acid， peak 7 as isochlorogenic acid B， peak 8 as isodehydroguotenine， peak 9 as isooguotenine， peak 10 as dehydroguotenine， peak 11 as isochlorogenic acid C， peak 12 as goutenine， and peak 13 as camptothecin. Through cluster analysis， the medicinal materials of 43 batches of Uncariae Ramulus Cum Uncis could be divided into 5 categories according to their different origins. Further principal component analysis revealed that the principal component comprehensive scores of Uncariae Ramulus Cum Uncis produced in Jiangxi and Hunan were relatively high， ranging from 0.264 to 2.904. The specific chromatogram could effectively distinguish among the different origins and their counterfeit products of Uncariae Ramulus Cum Uncis. CONCLUSIONS The established UPLC specific chromatogram can be used for quality control of Uncariae Ramulus Cum Uncis， and the study found that the quality of Uncariae Ramulus Cum Uncis from Jiangxi and Hunan provinces is relatively good.

Objective To summarize and analyze the clinical diagnosis, surgical treatment and prognosis of multiple pulmonary nodules (MPNs). Methods The clinical data of lung cancer patients who received surgical treatment in our hospital from 2018 to 2020 were collected. The short-term efficacy of surgical treatment for MPNs was analyzed. Results A total of 97 patients were enrolled, including 30 males and 67 females with an average age of 56.1±10.0 years at onset ill. There were 62 patients with double lesions, 22 patients with three lesions, 4 patients with four lesions, and 9 patients with more than four lesions. A total of 213 lesions were surgically treated, including 88 pure ground-glass nodules, 81 partially solid nodules, and 7 solid nodules. There were 87 simultaneous surgeries and 10 staged surgeries, with an average operation interval of 5.2 months. The pathological combination type included adenocarcinoma-adenocarcinoma in 96 (99.0%) patients, squamous cell carcinoma-squamous cell carcinoma in 1 (1.0%) patient, and no lymph node metastasis was found. The 2-year disease-free survival (DFS) rate was 92.1%, and the overall survival (OS) rate was 100.0%. Univariate analysis showed that high-risk lesion size>2 cm (P=0.316), residual lesions (P=0.782) and pathological combination type (P=0.913) had statistical effect on the 2-year DFS rate. Conclusion MPNs are mainly diagnosed with multiple primary lung cancers, and the pathological combination is mostly adenocarcinoma-adenocarcinoma combination. Imaging examination is of great help to the surgical approach selection, diagnosis and differential diagnosis of MPNs. During the operation, maximal preservation of lung function and complete resection of high-risk nodules should be taken as the principle, and the prognosis is satisfactory.

Objective To examined gene mutations in thymic carcinoma (TC) patients and to explore prognostic correlates and potential targets for therapy. Methods We retrospectively included TC patients in Sichuan Cancer Hospital between January 2015 and Febuary 2021.Whole-exome sequencing was performed on tumor tissues from TC patients and their control peripheral blood samples, and the raw data were subjected to bioinformatics analysis and statistical analysis. Results We finally included 24 TC patients with 16 males and 8 females at a median age of 55 (42-74) years. The highest frequency of single nucleotide mutations in this cohort were in the TTN gene (42%), HSPG2 (29%), and OBSCN (29%). Higher frequency of copy number variations occurred in ZNF276 gene (54%, loss), BEND3 (50%, loss), DHODH (50%, loss), and VAC14 (50%, loss). Microsatellite instability (MSI) phenotype was found in 25% of the patients, and the mean tumor mutation burden (TMB) was 9.86. Conclusion This study is the first comprehensive analysis of the mutation profile of thymic carcinoma in China to date. The mutation frequencies of TTN, OBSCN, and ZNF276 genes were high. The biomarker analysis suggests that patients may benefit from immunotherapy and have a long effective survival.

The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) is widely used for targeted genomic and epigenomic modifications, transcriptional regulation and real-time cell imaging, and has already demonstrated great potential for applications in agriculture, industry and medicine. The promise of the technology depends upon the five intrinsic properties of CRISPR/Cas: targeting, target unwinding, target cutting, target residence, and collateral cleavage. Here, mainly using Streptococcus pyogenes CRISPR/Cas9 as example, we will focus on the target residence of CRISPR/Cas in applications of the CRISPR/Cas technology, summarize the recent progress, and discuss the effect of CRISPR/Cas target binding and residence on DNA double strand break repair pathway choices and the opportunities that CRISPR/Cas target residence presents to optimize the CRISPR/Cas technology.

The long-term efficacy and complications of implantable diaphragm pacer (IDP) in a child with cervical spinal cord injury (CSCI) in the Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center in September 2022 were retrospective analyzed.A male child had quadriplegia without an obvious cause at the age of 12 years, and he was then lived completely with the assistance of mechanical ventilation.At the age of 14 years, he could wean off the ventilator in unilateral diaphragmatic pacing mode.However, mechanical ventilation was re-given for months after 5 years due to pneumonia, and then the IDP was re-given with the self-felt decreased pacing effect.After hospitalization, the patient was examined with mild diaphragmatic atrophy, secondary flat chest, and mild scoliosis.After optimization of the transdiaphragmatic pacing threshold and rehabilitation, his respiratory function improved.IDP can be used in CSCI for long time, while flat chest and scoliosis that limited the expansion of the lungs should be considered.At the meantime, the increased abdominal spasm affected the abdominal compliance, leading to the decrease in the efficiency of the diaphragm.

Objective:Given the high incidence and mortality rate of sepsis,early identification of high-risk patients and timely intervention are crucial.However,existing mortality risk prediction models still have shortcomings in terms of operation,applicability,and evaluation on long-term prognosis.This study aims to investigate the risk factors for death in patients with sepsis,and to construct the prediction model of short-term and long-term mortality risk. Methods:Patients meeting sepsis 3.0 diagnostic criteria were selected from the Medical Information Mart for Intensive Care-IV(MIMIC-IV)database and randomly divided into a modeling group and a validation group at a ratio of 7?3.Baseline data of patients were analyzed.Univariate Cox regression analysis and full subset regression were used to determine the risk factors of death in patients with sepsis and to screen out the variables to construct the prediction model.The time-dependent area under the curve(AUC),calibration curve,and decision curve were used to evaluate the differentiation,calibration,and clinical practicability of the model. Results:A total of 14 240 patients with sepsis were included in our study.The 28-day and 1-year mortality were 21.45%(3 054 cases)and 36.50%(5 198 cases),respectively.Advanced age,female,high sepsis-related organ failure assessment(SOFA)score,high simplified acute physiology score II(SAPS II),rapid heart rate,rapid respiratory rate,septic shock,congestive heart failure,chronic obstructive pulmonary disease,liver disease,kidney disease,diabetes,malignant tumor,high white blood cell count(WBC),long prothrombin time(PT),and high serum creatinine(SCr)levels were all risk factors for sepsis death(all P<0.05).Eight variables,including PT,respiratory rate,body temperature,malignant tumor,liver disease,septic shock,SAPS II,and age were used to construct the model.The AUCs for 28-day and 1-year survival were 0.717(95%CI 0.710 to 0.724)and 0.716(95%CI 0.707 to 0.725),respectively.The calibration curve and decision curve showed that the model had good calibration degree and clinical application value. Conclusion:The short-term and long-term mortality risk prediction models of patients with sepsis based on the MIMIC-IV database have good recognition ability and certain clinical reference significance for prognostic risk assessment and intervention treatment of patients.