PANoptosis is a newly defined type of programmed cell death (PCD), which is triggered by a variety of stimuli and covers three known forms of PCD: apoptosis, pyroptosis and necroptosis. In physiological state, cell death plays an important protective role against pathogen invasion, but its over-activation may aggravate inflammatory response and cause tissue damage. Studies have shown that the occurrence and progression of acute lung injury/acute respiratory distress syndrome (ALI/ARDS), asthma, chronic obstructive pulmonary disease (COPD) and other lung diseases are closely related to PANoptosis. The purpose of this review is to deeply explore the molecular mechanism of PANoptosis and its regulatory factors in lung diseases, in order to discover potential therapeutic targets and provide new targets and innovative ideas for clinical treatment for lung diseases.
Humans ; Lung Diseases ; Apoptosis ; Pyroptosis ; Pulmonary Disease, Chronic Obstructive ; Necroptosis ; Acute Lung Injury

Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

Objective:To investigate the predictive value of quantitative parameters of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) in lymph node metastasis of breast cancer.Methods:A retrospective study was conducted on 98 breast cancer patients admitted to our hospital from Jan. 2021 to Dec. 2022. All patients underwent DCE-MRI before surgery and were followed up for 2 years. Finally, 16 cases of lymph node metastasis were confirmed and included in the metastasis group, and the remaining 82 cases without metastasis were included in the non- metastasis group. The clinical data, preoperative routine MRI features and DCE-MRI quantitative parameters of the two groups were analyzed and compared, and the predictive value of DCE-MRI quantitative parameters was analyzed by receiver operating characteristic curve (ROC) .Results:There was no statistically significant difference in age, course of disease and pathological type between the two groups ( t=0.65, 1.43, χ2=1.33, P>0.05) ; The proportion of patients with middle or high pathological grade in metastasis group was higher than that in non-metastasis group ( χ2=11.29, P<0.05). The maximum diameter, shape, internal enhancement pattern and time intensity curve type showed no statistically significant difference ( t=0.54, χ2=3.51, 0.67, 0.42, P>0.05) ; The proportion of patients with blurred edge features in metastasis group was higher than that in the other group ( χ2=4.53, P<0.05). The volume transfer constant (K trans) and reflux rate constant (Kep) in the metastasis group were higher than those in the other group ( t=2.97, 3.22, P<0.05), and extracellular space volume ratio (Ve) showed no statistically significant difference ( t=0.42, P>0.05). Receiver operating characteristic curve (ROC) results showed that the area under the curve (AUC) of K trans, Kep and their combined prediction of breast cancer lymph node metastasis was 0.758, 0.710 and 0.764, respectively, and the sensitivity was 56.25%, 42.75% and 62.50%, respectively. The specificity was 86.59%, 89.02% and 86.59% (all P<0.05) . Conclusions:Quantitative parameters of DCE-MRI can be used to predict lymph node metastasis of breast cancer, among which K trans, Kep and their combination are more effective in diagnosis.

Objective:To investigate the predictive value of quantitative parameters of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) in lymph node metastasis of breast cancer.Methods:A retrospective study was conducted on 98 breast cancer patients admitted to our hospital from Jan. 2021 to Dec. 2022. All patients underwent DCE-MRI before surgery and were followed up for 2 years. Finally, 16 cases of lymph node metastasis were confirmed and included in the metastasis group, and the remaining 82 cases without metastasis were included in the non- metastasis group. The clinical data, preoperative routine MRI features and DCE-MRI quantitative parameters of the two groups were analyzed and compared, and the predictive value of DCE-MRI quantitative parameters was analyzed by receiver operating characteristic curve (ROC) .Results:There was no statistically significant difference in age, course of disease and pathological type between the two groups ( t=0.65, 1.43, χ2=1.33, P>0.05) ; The proportion of patients with middle or high pathological grade in metastasis group was higher than that in non-metastasis group ( χ2=11.29, P<0.05). The maximum diameter, shape, internal enhancement pattern and time intensity curve type showed no statistically significant difference ( t=0.54, χ2=3.51, 0.67, 0.42, P>0.05) ; The proportion of patients with blurred edge features in metastasis group was higher than that in the other group ( χ2=4.53, P<0.05). The volume transfer constant (K trans) and reflux rate constant (Kep) in the metastasis group were higher than those in the other group ( t=2.97, 3.22, P<0.05), and extracellular space volume ratio (Ve) showed no statistically significant difference ( t=0.42, P>0.05). Receiver operating characteristic curve (ROC) results showed that the area under the curve (AUC) of K trans, Kep and their combined prediction of breast cancer lymph node metastasis was 0.758, 0.710 and 0.764, respectively, and the sensitivity was 56.25%, 42.75% and 62.50%, respectively. The specificity was 86.59%, 89.02% and 86.59% (all P<0.05) . Conclusions:Quantitative parameters of DCE-MRI can be used to predict lymph node metastasis of breast cancer, among which K trans, Kep and their combination are more effective in diagnosis.

Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

Objective To explore the automated identification and diameter measurement methods for inferior vena cava (IVC) based on clinical ultrasound images of IVC. Methods An automated identification and localization method based on topology and automatic tracking algorithm was proposed. Tracking algorithm was used for identifying and continuously locating to improve the efficiency and accuracy of measurement. Tests were conducted on 18 sets of ultrasound data collected from 18 patients in intensive care unit (ICU),with clinicians' measurements as the gold standard. Results The recognition accuracy of the automated method was 94.44％ (17/18),and the measurement error of IVC diameter was within the range of±1.96s (s was the standard deviation). The automated method could replace the manual method. Conclusion The proposed IVC automated identification and localization algorithm based on topology and automatic tracking algorithm has high recognition success rate and IVC diameter measurement accuracy. It can assist clinicians in identifying and locating IVC,so as to improve the accuracy of IVC measurement.

Objective:To evaluate the effect of hydrogen on lipopolysaccharide (LPS) and nigericin-induced pyroptosis in macrophages and the role of long non-coding RNA (lncRNA) nuclear-enriched abundant transcript 1 (NEAT1).Methods:Human monocyte-derived macrophages THP-1 cells were cultured in vitro and divided into 4 groups ( n=25 each) using a random number table method: control group (group C), LPS and nigericin group (group LN), hydrogen-rich medium+ LPS and nigericin group (group H+ LN), and lentiviral transfection+ hydrogen-rich medium+ LPS-nigericin group (group LV+ H+ LN). THP-1 cells were cultured in the common culture medium for 24 h in group C. LPS at a final concentration of 100 ng/ml and nigericin 10 μmol/L were added to the culture medium, and the cells were incubated for 24 h in group LN. In group H+ LN, the culture medium was replaced with 0.6 mmol/L hydrogen-rich medium, then LPS at a final concentration of 100 ng/ml and nigericin 10 μmol/L were immediately added, and the cells were incubated for 24 h. In group LV+ H+ LN, THP-1 cells over-expressing NEAT1 stably after being transfected with lentivirus were used, then LPS at a final concentration of 100 ng/ml and nigericin 10 μmol/L were immediately added, and the cells were incubated for 24 h. Cell viability was detected by CCK-8 assay. Lactic dehydrogenase (LDH) release was assessed by colorimetric method. The amount of LDH released was measured by colorimetry. The concentrations of interleukin-1beta (IL-1β) and IL-18 in culture medium were measured by enzyme-linked immunosorbent assay. The pyroptotic rate was detected by flow cytometry. The expression of nucleotide-binding oligomerization domain-like receptor-containing pyrin domain 3 (NLRP3), apoptosis-associated speck-like protein (ASC), caspase-1 and gasdermin D (GSDMD) was detected by Western blot. The expression of NEAT1 gene was determined by quantitative real-time polymerase chain reaction. Results:Compared with group C, the cell viability was significantly decreased, the amount of LDH released, concentrations of IL-1β and IL-18, and pyroptotic rate were increased, and the expression of NEAT1 gene, NLRP3, ASC, caspase-1 and GSDMD was up-regulated in group LN ( P<0.05). Compared with group LN, the cell viability was significantly increased, the amount of LDH released, concentrations of IL-1β and IL-18, and pyroptotic rate were decreased, and the expression of NEAT1 gene, NLRP3, ASC, caspase-1 and GSDMD was down-regulated in group H+ LN ( P<0.05). Compared with group H+ LN, the cell viability was significantly decreased, the amount of LDH released, concentrations of IL-1β and IL-18, and pyroptotic rate were increased, and the expression of NEAT1 gene, NLRP3, ASC, caspase-1 and GSDMD was up-regulated in group LV+ H+ LN ( P<0.05). Conclusions:Hydrogen can ameliorate LPS and nigericin-induced pyroptosis in macrophages, and the mechanism may be associated with down-regulating the expression of lncRNA NEAT1.

Objective:To compare and discuss the mid-to-long-term outcomes of mitral valve repair (MVP) versus biological mitral valve replacement (bMVR) in patients aged 60 years and above with rheumatic mitral valve disease.Methods:This is a retrospective cohort study. A total of 765 patients aged 60 years and older, diagnosed with rheumatic mitral valve disease and who underwent MVP or bMVR at Beijing Anzhen Hospital from January 2010 to January 2023, were retrospectively included. Among them, 186 were male and 579 were female, with an age of (66.1±4.5) years (range: 60 to 82 years). Patients were divided into two groups based on the surgical method: the mitral valve repair group (MVP group, n=256) and the bioprosthetic mitral valve replacement group (bMVR group, n=509). A 1∶1 propensity score matching was performed using a caliper value of 0.2 based on preoperative data. Paired sample t-tests, χ2 tests, or Fisher′s exact tests were used for intergroup comparisons. Kaplan-Meier method was employed to plot survival curves and valve-related reoperation rate curves for both groups before and after matching, and Log-rank tests were used to compare the mid-to long-term survival rates and valve-related reoperation rates between the two groups. Results:A total of 765 patients who completed follow-up were ultimately included, with a follow-up period ( M(IQR)) of 5.1(5.0) years (range: 1.0 to 12.9 years). After matching, each group consisted of 256 patients. The incidence of early postoperative atrial fibrillation (39.1% vs. 49.2%, χ2=4.95, P=0.026) and early mortality rates (2.0% vs. 6.2%, χ2=4.97, P=0.026) were lower in the MVP group. Unadjusted Kaplan-Meier analysis showed significantly higher 5-year and 10-year survival rates for the MVP group (92.54% vs. 83.02%, 86.22% vs. 70.19%, Log-rank: P=0.001). After adjustment with propensity scores, the Kaplan-Meier analysis still indicated higher 5-year and 10-year survival rates in the MVP group compared to the bMVR group (92.54% vs. 85.89%, 86.22% vs. 74.83%, Log-rank: P=0.024). There were no significant differences in the rates of valve-related reoperation between the two groups before and after matching (5-year and 10-year reoperation rates pre-matching: 1.75% vs. 0.57%, 5.39% vs. 7.54%, Log-rank: P=0.207; post-matching: 1.75% vs. 0, 5.39% vs. 9.27%, Log-rank: P=0.157). Conclusion:For patients aged 60 years and above with rheumatic mitral valve disease, mitral valve repair offers better mid-to-long-term survival compared to biological valve replacement.

The technology of three-dimensional(3D)printing emerged in the late 1970s and has since undergone considerable development to find numerous applications in mechanical engineering,industrial design,and biomedicine.In biomedical science,several studies have initially found that 3D printing technology can play an important role in the treatment of diseases in hepatopancreatobiliary surgery.For example,3D printing technology has been applied to create detailed anatomical models of disease organs for preoperative personalized surgical strategies,surgical simulation,intraoperative navigation,medical training,and patient education.Moreover,cancer models have been created using 3D printing technology for the research and selection of chemotherapy drugs.With the aim to clarify the development and application of 3D printing technology in hepatopancreatobiliary surgery,we introduce seven common types of 3D printing technology and review the status of research and application of 3D printing technology in the field of hepatopancreatobiliary surgery.

Objective:To compare and discuss the mid-to-long-term outcomes of mitral valve repair (MVP) versus biological mitral valve replacement (bMVR) in patients aged 60 years and above with rheumatic mitral valve disease.Methods:This is a retrospective cohort study. A total of 765 patients aged 60 years and older, diagnosed with rheumatic mitral valve disease and who underwent MVP or bMVR at Beijing Anzhen Hospital from January 2010 to January 2023, were retrospectively included. Among them, 186 were male and 579 were female, with an age of (66.1±4.5) years (range: 60 to 82 years). Patients were divided into two groups based on the surgical method: the mitral valve repair group (MVP group, n=256) and the bioprosthetic mitral valve replacement group (bMVR group, n=509). A 1∶1 propensity score matching was performed using a caliper value of 0.2 based on preoperative data. Paired sample t-tests, χ2 tests, or Fisher′s exact tests were used for intergroup comparisons. Kaplan-Meier method was employed to plot survival curves and valve-related reoperation rate curves for both groups before and after matching, and Log-rank tests were used to compare the mid-to long-term survival rates and valve-related reoperation rates between the two groups. Results:A total of 765 patients who completed follow-up were ultimately included, with a follow-up period ( M(IQR)) of 5.1(5.0) years (range: 1.0 to 12.9 years). After matching, each group consisted of 256 patients. The incidence of early postoperative atrial fibrillation (39.1% vs. 49.2%, χ2=4.95, P=0.026) and early mortality rates (2.0% vs. 6.2%, χ2=4.97, P=0.026) were lower in the MVP group. Unadjusted Kaplan-Meier analysis showed significantly higher 5-year and 10-year survival rates for the MVP group (92.54% vs. 83.02%, 86.22% vs. 70.19%, Log-rank: P=0.001). After adjustment with propensity scores, the Kaplan-Meier analysis still indicated higher 5-year and 10-year survival rates in the MVP group compared to the bMVR group (92.54% vs. 85.89%, 86.22% vs. 74.83%, Log-rank: P=0.024). There were no significant differences in the rates of valve-related reoperation between the two groups before and after matching (5-year and 10-year reoperation rates pre-matching: 1.75% vs. 0.57%, 5.39% vs. 7.54%, Log-rank: P=0.207; post-matching: 1.75% vs. 0, 5.39% vs. 9.27%, Log-rank: P=0.157). Conclusion:For patients aged 60 years and above with rheumatic mitral valve disease, mitral valve repair offers better mid-to-long-term survival compared to biological valve replacement.