ObjectivePhotoacoustic tomography (PAT) holds significant potential for high-resolution deep-tissue imaging. In preclinical research, custom-designed concave arc-shaped ultrasound transducer arrays are often used to maximize the detection aperture. However, manufacturing limitations and assembly tolerances frequently cause the actual physical positions of array elements to deviate from their theoretical design. Additionally, concave arrays are typically covered with an acoustic lens, which introduces a mismatch in the speed of sound between the coupling medium and the lens material. The combination of these geometric and acoustic-phase errors leads to severe image artifacts, reduced contrast, and degraded resolution. This study proposes a systematic two-step calibration strategy to address these issues and substantially improve image quality. MethodsFirst, a high-intensity isotropic photoacoustic point source was constructed using a multi-mode optical fiber coated with carbon nanotubes (CNTs) to acquire high signal-to-noise ratio calibration data. The Akaike information criterion (AIC) was employed to accurately determine the time of arrival (ToA) of photoacoustic signals. Subsequently, a geometric calibration algorithm based on nonlinear least-squares (NLS) estimation was developed. This algorithm iteratively solves for the true spatial coordinates of each array element by minimizing the residual between theoretical and measured acoustic path lengths. To further address sound-speed inhomogeneity caused by the acoustic lens, a phase compensation algorithm based on bilinear interpolation was proposed. This algorithm computes a pixel-specific phase delay map across the imaging region and performs point-by-point signal correction during delay-and-sum (DAS) reconstruction. The proposed methods were validated using a custom 96-channel concave arc-shaped array (center frequency: 12  MHz) through both phantom imaging and in vivo mouse tumor models. ResultsPhantom experiments showed that at an imaging depth of14 mm, the reconstruction position deviation of the point source in the uncalibrated system reached up to 1  mm. After applying the combined calibration, the lateral resolution (full width at half maximum, FWHM) at the focal point of the arc array reached 95  μm—representing a 85% reduction compared to the uncalibrated state and a 79% reduction compared to geometric calibration alone without phase compensation. In vivo experiments demonstrated that the calibrated system clearly resolved the microvascular network of subcutaneous tumors in mice. Photoacoustic signals were strictly confined within tumor boundaries delineated by ultrasound imaging (USI), eliminating the vascular spillover artifacts commonly observed in uncalibrated images. Furthermore, after intravenous injection of indocyanine green (ICG), the system successfully detected weak photoacoustic signals at a depth of 5 mm, performing significantly better than the uncalibrated system. ConclusionThe proposed calibration method, which integrates nonlinear least-squares estimation with phase compensation, significantly improves image fidelity and spatial resolution consistency across a wide field of view by correcting systemic geometric errors and acoustic phase aberrations. This approach demonstrates high robustness and provides a reliable technical foundation for the clinical translation of photoacoustic probes with non-standard geometries.

Euodiae Fructus， a commonly used Chinese medicinal herb， has been widely used to treat gastrointestinal disorders， headaches， and vomiting， possessing significant medicinal value. According to traditional Chinese medical theory， Euodiae Fructus has the following effects： warming the middle to disperse cold， suppressing adverse Qi to relieve vomiting， and soothing the liver to alleviate pain. It is commonly used to treat diseases associated with cold stagnation in the liver and stomach， as well as gastrointestinal dysfunction. In recent years， as modern research on traditional Chinese medicine has advanced， increasing attention has been paid to the chemical constituents and pharmacological effects of Euodiae Fructus. Studies have isolated and identified various chemical constituents in this herb， including alkaloids， terpenoids， phenols， steroids， and volatile oils. Among them， alkaloids and terpenoids have been most extensively investigated. Studies suggest that Euodiae Fructus and some of its active constituents exhibit anti-inflammatory， anti-tumor， cardiovascular and cerebrovascular protective， and metabolic syndrome-regulating effects. However， current studies mainly focus on a few representative constituents. A systematic understanding of the overall bioactive material basis and mechanisms of action of this herb still requires further investigation. Additionally， more in vivo pharmacodynamic studies， clinical evaluations， and toxicological assessments are needed. This article summarizes recent advances in the pharmacological effects of Euodiae Fructus based on a systematic review of its major chemical constituents， aiming to provide a reference for further research and the rational development and utilization of this medicinal herb.

Objective:To establish UPLC characteristic spectrum of Hujiao standard decoction and the determination method for the content of piperine.Methods:15 batches of freeze-dried powder of Hujiao standard decoction were prepared according to the traditional decocting method. The range of paste yield was determined, and the UPLC characteristic spectrum of the standard decoction was established. High-resolution mass spectrometry and control products were used to identify common peaks. Based on the common peak area, the weights of each peak were compared using entropy weight method, and correlation analysis and similarity evaluation were conducted using clustering analysis and grey correlation method; a method for determining the content of piperine in Hujiao decoction pieces and freeze-dried powder of standard decoction was simultaneously established, and the transfer rate was calculated.Results:The extraction rate of 15 batches of freeze-dried powder of Hujiao standard decoction ranged from 10.4% to 16.8%, with an average of 14.0%. The content of piperine ranged from 12.2 to 30.0 mg/g, with an average of 18.5 mg/g, and the transfer rate ranged from 4.0% to 7.8%, with an average of 5.8%. Six common peaks were identified in the established characteristic spectrum and identified by high-resolution mass spectrometry and control products respectively. Peak 1 was N-trans-feruloyltyramine, peak 3 was piperine and the similarity was 0.959-1.000. Clustering analysis and grey correlation analysis showed that there was little difference between quality of Piperis Fructus and origins.Conclusion:In this study, the characteristic spectrum and content determination method of freeze-dried powder of Hujiao standard decoction are established, which can provide references for quality detection and control of Hujiao standard decoction or its derivative products.

Objective To observe the clinical efficacy of toripalimab combined with bronchial ar-terial chemoembolization(BACE)and intensity-modulated radiotherapy(IMRT)in advanced lung cancer.Methods A prospective single-arm trial was conducted in 104 patients with programmed death-ligand 1(PD-L1)-positive,driver gene-negative non-small cell lung cancer(NSCLC)in stages of Ⅲ B to Ⅳ admitted to the First People's Hospital of Guangyuan City of Sichuan Province.All patients received toripalimab combined with BACE and IMRT.Clinical efficacy,symptom improve-ment time,tumor biomarker levels[carcinoembryonic antigen(CEA),carbohydrate antigen 199(CA199),cytokeratin 19 fragment(CYFRA21-1),neuron-specific enolase(NSE)],T-lymphocyte subsets(CD3+,CD4+,CD4+/CD8+),survival outcomes,and adverse events were analyzed.Results Among 102 patients,the objective response rate(ORR)was 75.49％,disease control rate(DCR)was 90.20％,survival rate was 68.63％,and 12-month progression-free survival rate was 62.75％.The overall incidence of adverse events of any grade was 72.55％.Post-BACE,post-IMRT,and post-toripalimab treatment levels of CEA,CYFRA21-1,CA199,and NSE were significantly lower than baseline data(P＜0.05),with the lowest levels observed after toripalimab treatment compared to post-BACE and post-IMRT(P＜0.05).CD3+,CD4+,and CD4+/CD8+decreased after BACE,IMRT and toripalimab therapy,but they were increased following toripalimab therapy compared with the other two therapies(P＜0.05).Conclusion Toripalimab combined with BACE and IMRT demonstrates significant clinical efficacy and acceptable tolerability in PD-L1-positive,driver gene-negative NSCLC in stages of ⅢB to Ⅳ,serving as a preferred consolidation regimen after unresect-able chemoradiotherapy.

Objective:To investigate the impact of electroacupuncture(EA)on adenosine triphosphatase(ATPase),ade-nosine triphosphate(ATP),phosphorylated myosin light chain kinase(p-MLCK),and phosphorylated myosin light chain(p-MLC)in the detrusor muscle of neurogenic bladder patients who have experienced suprasacral spinal cord injury(SSCI).The primary objective of this research was to elucidate the mechanism by which EA inhibits detrusor hyperreflexia in these patients.Method:Forty female SD rats were randomly divided into two groups:a control group and a sham operation group,each comprising eight rats.The remaining twenty-four rats were used to create a neurogenic bladder model with incontinence.The rats were then randomly divided into two groups:a model group and an elec-troacupuncture group,with eight rats in each group.Subsequently,the remaining twenty-four rats were used to create an incontinence-type neurogenic bladder model using a modified T10 spinal cord transection method.The rats were further divided into a model group and an electroacupuncture group,with eight rats in each group.On the nineteenth postoperative day,electroacupuncture was administered at the"Ciliao","Zhongji",and"Sanyinjiao"points for seven consecutive days.Urodynamic tests were conducted after the treatment,and the levels of ATPase,ATP,adenosine diphosphate(ADP),and adenosine monophosphate(AMP)in the detru-sor muscle were measured using enzyme-linked immunosorbent assay(ELISA).The levels of p-MLCK and p-MLC2 in the detrusor muscle were measured using Western Blot.Result:The model group exhibited higher abdominal leakage point pressure and maximum bladder pressure,as well as lower maximum bladder capacity,compared to the control group(P<0.01).Additionally,the ATP content in the detrusor muscle was higher,while the levels of ATPase,ADP,and AMP were lower(P<0.01).The p-MLC2 level in the detrusor muscle was higher,and the p-MLCK level was lower(P<0.01).In con-trast,the electroacupuncture group displayed lower maximum bladder pressure,reduced abdominal leakage point pressure,and increased maximum bladder capacity compared to the model group(P<0.01).The ATP con-tent in the detrusor muscle was lower,and the levels of ATPase,ADP,and AMP were higher(P<0.01).Fur-thermore,the p-MLC2 levels in the detrusor muscle were lower,and the p-MLCK level was higher(P<0.01).Conclusion:Electroacupuncture at"Ciliao","Zhongji",and"Sanyinjiao"acupoints effectively improves bladder function in rats with detrusor overactivity following SSCI.The underlying mechanism is associated with the up-regulation of ATPase expression in the detrusor muscle,promoting ATP hydrolysis and modulating p-MLCK and p-MLC2 levels,thereby inhibiting detrusor muscle contraction.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

OBJECTIVE: This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults. METHODS: Data from the fifth wave of the China Health and Retirement Longitudinal Survey (CHARLS) were used to analyse the relationships between sleep duration and body pain, self-reported health, and life satisfaction through logistic regression and Restricted Cubic Spline (RCS) analyses. The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis. RESULTS: Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain, poor health, and dissatisfaction with life compared to sleeping 7-8 hours (all P < 0.05). Additionally, those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours (all P < 0.05). Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15% of the association between sleep duration and life satisfaction. CONCLUSION Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.
Humans ; Male ; Female ; Aged ; Personal Satisfaction ; Sleep ; Health Status ; Self Report ; China ; Middle Aged ; Longitudinal Studies ; Pain/psychology* ; Sleep Duration

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To evaluate the diagnostic performance of 64Cu-prostate specific membrane antigen (PSMA)-Q compared with 18F-FDG in patients with advanced prostate cancer and to analyze the radiation dosimetry of 64Cu-PSMA-Q. Methods:This study was an open-label, single-arm, self-controlled diagnostic evaluation trial. A total of 29 patients (age 58-87 years) with pathologically confirmed advanced prostate cancer in the Affiliated Hospital of North Sichuan Medical College from September 2023 to December 2023 were included. All patients underwent both 64Cu-PSMA-Q PET/CT and 18F-FDG PET/CT examinations. McNemar test was used to compare the detection rates of 64Cu-PSMA-Q PET/CT and 18F-FDG PET/CT for primary lesions, lymph node metastases, and bone metastases. Mann-Whitney U test was applied to compare differences in SUV max and tumor-to-background ratio (TBR) between 64Cu-PSMA-Q PET/CT and 18F-FDG PET/CT. Radiation dosimetry of 64Cu-PSMA-Q PET/CT imaging was performed using OLINDA/EXM 2.1 (adult male model) in 9 patients. Results:Primary lesions were detected in 21 patients. 64Cu-PSMA-Q PET/CT demonstrated a detection rate of 95.2%(20/21) for primary lesions, which was significantly higher than that of 18F-FDG PET/CT (66.7%(14/21); χ2=6.00, P=0.031). Detection rates of lymph node metastases were 65.5%(19/29) for 64Cu-PSMA-Q and 55.2%(16/29) for 18F-FDG, with no significant difference ( χ2=3.00, P=0.250). Similarly, detection rates of bone metastases were 72.4%(21/29) for 64Cu-PSMA-Q and 65.5%(19/29) for 18F-FDG respectively ( χ2=2.00, P=0.500). TBRs on 64Cu-PSMA-Q PET/CT were significantly higher than those on 18F-FDG PET/CT across primary lesions (8.3(2.2, 13.3) vs 2.3(1.0, 5.5); Z=7.16, P=0.002), regional lymph node metastases (4.9(1.4, 8.3) vs 1.7(0.9, 4.0), Z=189.34, P=0.001), and bone metastases (18.7(4.5, 26.9) vs 5.1(2.1, 9.7); Z=24.83, P=0.003). No significant difference in TBR was observed for distant lymph node metastases ( Z=1.49, P=0.135) or benign lesions ( Z=0.91, P=0.558). The whole-body effective dose of 64Cu-PSMA-Q was (28.200±1.590)μSv/MBq among the 9 patients analyzed, with no adverse events related to the tracer observed. Conclusion:64Cu-PSMA-Q is a promising novel PET imaging agent with potential clinical utility for diagnosing prostate cancer and supporting clinical decision-making.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.