Transdermal drug delivery offers advantages such as safety, convenience, and high patient compliance. However, the complex structure of the skin and significant individual variability, particularly the barrier function of the stratum corneum, result in generally low bioavailability for topical formulations. The formulation of topical drug products is complex, with numerous factors influencing quality, which requires strict control of product quality. Raman spectroscopy, as a non-destructive vibrational technique, combined with chemometric methods, imaging technology, and other spectroscopic techniques, can be applied to study the key quality attributes of topical drug formulations. The applications of Raman spectroscopy in studies of the crystal form, particle size distribution, excipient research, and in vitro transdermal experiments of topical drug formulations were summarized. In particular, it focused on the use of Raman spectroscopy in the selection of skin samples for in vitro permeation tests, the study of drug spatial distribution in the skin, and the interactions between drugs and the skin.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

Atherosclerosis(AS)is the major pathologic basis of cardiovascular disease,and its complications,such as myocardial infarction and stroke,are primarily triggered by rupture of atherosclerotic vulnerable plaques(VASPs).Conventional imaging techniques rely on anatomical changes,making it difficult to assess plaque vulnerability at an early stage.In recent years,molecular imaging combined with nanoprobe technology has enabled precise visualization at the cellular and molecular levels by targeting pathological features of plaques(e.g.,lipid core,inflammation,thin fibrous cap,etc.).This article reviews the pathological features of VASPs,the limitations of existing imaging techniques,and the design principles and application progress of molecular imaging probes and discusses the challenges and future directions for their clinical translation.

Objective:To investigate the effect of intradialytic cerebral blood flow (CBF) fluctuation on cognitive decline in middle-aged and elderly maintenance hemodialysis (MHD) patients.Methods:It was a prospective cohort study. MHD patients aged ≥50 years from Beijing Shijitan Hospital were enrolled from January 2023 to June 2023. Middle cerebral artery mean flow velocity (MFV) was serially monitored via transcranial Doppler (TCD) during dialysis sessions. Cognitive function was assessed at baseline and after 12-month follow-up using standardized neuropsychological tests: montreal cognitive assessment (MoCA), auditory verbal learning test (AVLT 5), complex figure test (CFT), trail making test-B (TMT-B), Stroop color and word test (SCWT), and symbol digit modalities test (SDMT). ΔMFV was calculated as pre-to-post dialysis MFV difference. Multivariable linear regression was used to analyze the association of ΔMFV and cognition.Results:A total of 121 MHD patients were recruited with an age of (63.63±8.44) years. There were 97 males (80.2%), and the dialysis vintage was (55.08±54.73) months. Significant intradialytic MFV reductions were observed ( P<0.05). At 12 months, cognitive decline manifested in global cognition (MoCA), memory (CFT-memory), executive function (TMT-B, SCWT-C, SCWT-T), attention (SDMT), visuospatial ability (CFT-copy)(all P<0.05). Multivariable linear regression analysis revealed ΔMFV independently predicted declines in: MoCA ( B=0.066, 95% CI 0.018-0.113, P=0.007), AVLT5 ( B=0.050, 95% CI 0.004-0.097, P=0.035), TMT-B ( B=-1.955, 95% CI -3.453--0.457, P=0.011), SCWT-C ( B=0.298, 95% CI 0.112-0.484, P=0.002), SCWT-T ( B=-1.371, 95% CI -2.303--0.439, P=0.004). Conclusions:Hemodialysis induces acute CBF reductions detectable by TCD. Cumulative intradialytic CBF fluctuations may accelerate cognitive deterioration in middle-aged and elderly MHD populations, particularly affecting memory and executive domains.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

The cultivation of innovation ability is not only the essential requirement of graduate education,but also the strate-gic demand of the development of the communist party and our country,and is of great significance to the realization of the Chinese dream of the great rejuvenation of the Chinese nation.Curriculum ideology and politics should run through the whole process of post-graduate innovation ability training.However,the curriculum ideology and politics and postgraduate innovation ability training lack deep integration.It's important for postgraduates'growth and scientific research innovation that the curriculum ideology and politics covers the whole process of scientific research activities.Therefore,this paper focuses on the design and specific implementation schemes of the curriculum ideology and politics on the postgraduate innovative ability training at the respiratory disease research team in the department of medical immunology.It makes a basis for optimizing postgraduate curriculum ideology and politics teaching in the future,which also provides ideas for cultivating innovative talents with both morality and ability in medical specialty.

Objective:To investigate the effect of intradialytic cerebral blood flow (CBF) fluctuation on cognitive decline in middle-aged and elderly maintenance hemodialysis (MHD) patients.Methods:It was a prospective cohort study. MHD patients aged ≥50 years from Beijing Shijitan Hospital were enrolled from January 2023 to June 2023. Middle cerebral artery mean flow velocity (MFV) was serially monitored via transcranial Doppler (TCD) during dialysis sessions. Cognitive function was assessed at baseline and after 12-month follow-up using standardized neuropsychological tests: montreal cognitive assessment (MoCA), auditory verbal learning test (AVLT 5), complex figure test (CFT), trail making test-B (TMT-B), Stroop color and word test (SCWT), and symbol digit modalities test (SDMT). ΔMFV was calculated as pre-to-post dialysis MFV difference. Multivariable linear regression was used to analyze the association of ΔMFV and cognition.Results:A total of 121 MHD patients were recruited with an age of (63.63±8.44) years. There were 97 males (80.2%), and the dialysis vintage was (55.08±54.73) months. Significant intradialytic MFV reductions were observed ( P<0.05). At 12 months, cognitive decline manifested in global cognition (MoCA), memory (CFT-memory), executive function (TMT-B, SCWT-C, SCWT-T), attention (SDMT), visuospatial ability (CFT-copy)(all P<0.05). Multivariable linear regression analysis revealed ΔMFV independently predicted declines in: MoCA ( B=0.066, 95% CI 0.018-0.113, P=0.007), AVLT5 ( B=0.050, 95% CI 0.004-0.097, P=0.035), TMT-B ( B=-1.955, 95% CI -3.453--0.457, P=0.011), SCWT-C ( B=0.298, 95% CI 0.112-0.484, P=0.002), SCWT-T ( B=-1.371, 95% CI -2.303--0.439, P=0.004). Conclusions:Hemodialysis induces acute CBF reductions detectable by TCD. Cumulative intradialytic CBF fluctuations may accelerate cognitive deterioration in middle-aged and elderly MHD populations, particularly affecting memory and executive domains.

Atherosclerosis(AS)is the major pathologic basis of cardiovascular disease,and its complications,such as myocardial infarction and stroke,are primarily triggered by rupture of atherosclerotic vulnerable plaques(VASPs).Conventional imaging techniques rely on anatomical changes,making it difficult to assess plaque vulnerability at an early stage.In recent years,molecular imaging combined with nanoprobe technology has enabled precise visualization at the cellular and molecular levels by targeting pathological features of plaques(e.g.,lipid core,inflammation,thin fibrous cap,etc.).This article reviews the pathological features of VASPs,the limitations of existing imaging techniques,and the design principles and application progress of molecular imaging probes and discusses the challenges and future directions for their clinical translation.

Objective:To investigate the effect and underlying mechanism of sonodynamic therapy (SDT) on inflammation-related atrial fibrillation (AF) susceptibility.Methods:Lipopolysaccharide (LPS)-stimulated mouse and HL-1 mouse atrial myocyte models were used. (1) In vivo study: experimental groups included control, LPS, LPS+SDT, and SDT groups, with 20 mice in each group. Atrial fibrillation inducibility and duration were assessed by electrical stimulation. Western blot was used to analyze atrial expression of NOD-like receptor family pyrin domain-containing protein 3 (NLRP3), interleukin (IL)-1β, and IL-18. Immunohistochemistry was used to detect calcium voltage-gated channel subunit alpha1 C (CACNA1C) expression. (2) In vitro study: cell counting kit-8 (CCK-8) and Western blot were used to determine the optimal and safe LPS concentration. The safe incubation condition for the sonosensitizer sinoporphyrin sodium was determined by CCK-8 and fluorometry. An LPS-induced inflammatory model in HL-1 atrial myocytes was used, with experimental groups including control, LPS, LPS+SDT, LPS+sinoporphyrin sodium, and LPS+ultrasound groups. NLRP3 was overexpressed using plasmid transfection, with experimental groups including control, NLRP3 plasmid, negative control plasmid, and NLRP3 plasmid+SDT groups. SDT was applied to LPS-stimulated or NLRP3-overexpressing HL-1 cells. Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot were used to measure mRNA and protein levels of NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), Cleaved Caspase-1, IL-1β, IL-18, and CACNA1C. The NLRP3 inhibitor MCC950 was used to validate the relationship of NLRP3 and CACNA1C. The experimental groups included control, LPS, LPS+MCC950, and MCC950 groups. Intracellular reactive oxygen species (ROS) levels were detected using the probe DCFH-DA, and the ROS scavenger N-acetyl-L-cysteine (NAC) was used to test if the effects of SDT was ROS-dependent.Results:(1) In vivo: The LPS+SDT group exhibited a lower incidence of atrial fibrillation induction and a shorter duration of atrial fibrillation compared to the LPS group(both P<0.05). Protein expression levels of NLRP3 and IL-1β were lower than those in the LPS group (all P<0.05), while the expression of CACNA1C subunit tended to increase relative to the LPS group ( P>0.05). (2) In vitro: The safe concentration of LPS for administration was ≤20 μg/ml, with an optimal pro-inflammatory concentration of 4 μg/ml. The safe concentration of sinoporphyrin sodium for administration was 0.4 μmol/L, with an optimal incubation time of 4 hours. Compared to the LPS group or NLRP3 plasmid group, the LPS+SDT group or NLRP3 plasmid+SDT group exhibited lower expression levels of NLRP3, ASC, Cleaved Caspase-1, IL-1β, and IL-18, and higher mRNA and protein levels of CACNA1C (all P<0.05). The LPS+MCC950 group had higher CACNA1C protein expression than the LPS group ( P<0.05). SDT increased intracellular ROS levels, and NAC blocked the regulatory effects of SDT on NLRP3 and CACNA1C. Conclusion:SDT reduces atrial fibrillation susceptibility in mice by inhibiting NLRP3 inflammasome activation in atrial cardiomyocytes, thereby upregulating the L-type calcium channel subunit CACNA1C.