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 observe the effects of Yiqi Huoxue Tuodu Prescription on Keap1Nrf2/HO-1 signaling pathway in rats with chronic nonbacterial prostatitis(CNP);To explore its mechanism for the treatment of CNP.Methods CNP rat model was prepared using castration combined with estrogen induction method.Totally 48 SD rats were divided into blank group,model group,celecoxib group and Yiqi Huoxue Tuodu Prescription group according to the random number table method,with 12 rats in each group.In the celecoxib group,celecoxib suspension was instilled 0.035 g/kg,and in the Yiqi Huoxue Tuodu Prescription group,Yiqi Huoxue Tuodu Prescription water decoction was instilled 8.64 g/kg,and the blank group and the model group were instilled with equal volume of normal saline for 28 days.Mechanical pain threshold in rats was measured using Von Frey fiber optic pain gauge,HE staining was used to observe pathological changes in prostate tissue and pathological scoring,the content of reactive oxygen species(ROS)in prostate tissue were detected by chemical fluorescence method and the glutathione peroxidase(GSH-Px)activity and malondialdehyde(MDA)content in prostate tissue were detected by colorimetric method,Western blot was used to detect the expressions of Kelch like ECH related protein 1(Keap1),nuclear factor E2 related factor 2(Nrf2),and heme oxygenase-1(HO-1)protein in prostate tissue.Results Compared with the blank group,rats in the model group had significantly lower mechanical pain threshold and significantly decreased prostate index(P<0.01);the size of the glandular cavity in prostate tissue varied,with the disappearance of secretions in the cavity,interstitial looseness and edema,a large amount of fibrous tissue hyperplasia and inflammatory cell infiltration,and a significant increase in pathological scores(P<0.01);the contents of ROS and MDA in prostate tissue significantly increased,the activity of GSH-Px significantly decreased(P<0.01),the expression of Keap1 and Nrf2 proteins significantly decreased,and the expression of HO-1 protein significantly increased(P<0.01,P<0.05).Compared with the model group,the mechanical pain threshold of the rats in the Yiqi Huoxue Tuodu Prescription group was significantly higher(P<0.01);there was mild damage to prostate tissue,with a small amount of fibrous hyperplasia and inflammatory cell infiltration,and a significant decrease in pathological scores(P<0.01,P<0.05);the contents of ROS and MDA in prostate tissue significantly decreased,and the GSH-Px activity significantly increased(P<0.01),the Keap1 and Nrf2 protein expressions significantly increased and HO-1 protein expression significantly decreased in prostate tissue(P<0.01,P<0.05).Conclusion Yiqi Huoxue Tuodu Prescription can effectively improve the histopathological morphology and increase the pain threshold of the prostate gland in CNP rats,and its mechanism of action may be related to the regulation of Keap1/Nrf2/HO-1 signaling pathway and reduction of oxidative stress damage in prostate tissue of rats.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

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 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.