Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

AIM:To assess the efficacy of intravitreal conbercept for treating neovascular age-related macular degeneration(nAMD)under a treat-and-extend(T & E)regimen.METHODS: A retrospective analysis was conducted on nAMD patients followed over a 2-year period(May 2020 to May 2022). All eyes received three monthly loading intravitreal injections of conbercept, followed by a T& E regimen in which the injection interval was extended by 2 or 4 wk according to disease activity, up to a maximum of 16 wk. When disease activity recurred, the interval was shortened. Patients were divided into initial and non-initial treatment groups based on treatment history. Best-corrected visual acuity(BCVA), central macular thickness(CMT), injection frequency, and intervals between injections over the 24-month follow-up were compared.RESULTS:Totally 27 patients(15 males and 12 females, 33 eyes)were enrolled. In the initial treatment group(18 eyes, mean age 65.72±12.32 y), BCVA significantly improved at 1, 3, and 6 mo(P<0.05), and CMT significantly improved at 1 and 3 mo(P<0.05). In the non-initial treatment group(15 eyes, mean age 69.00±9.21 y), BCVA improved significantly at 3 mo(P<0.05), whereas CMT remained stable(P >0.05). Baseline CMT was similar between the groups(P>0.05). However, significant differences were observed at multiple post-injection time points(P<0.05). The total number of injections did not differ between the groups(P>0.05). Intervals between injections varied, with the majority at 4 and 3-4 mo in the initial and non-initial treatment groups, respectively.CONCLUSION:Initiating intravitreal conbercept therapy under a T & E regimen results in superior visual and anatomical outcomes compared with non-initial treatment.

Osteoarthritis (OA), a highly prevalent degenerative joint disease worldwide, is defined by articular cartilage degradation, abnormal bone remodeling, and persistent chronic inflammation. It severely compromises patients’ quality of life, and currently, there is no radical cure. Abnormal mechanical stress is widely regarded as a core driver of OA pathogenesis, and the exploration of mechanical signal perception and transduction mechanisms has become crucial for deciphering OA’s pathophysiological processes. Piezo1, a key mechanosensitive cation channel belonging to the Piezo protein family, has recently gained significant attention due to its pivotal role in mediating cellular responses to mechanical stimuli in joint tissues. This review systematically examines Piezo1’s expression patterns, regulatory mechanisms, and pathological functions in OA, with a particular focus on its dual roles in modulating chondrocyte homeostasis and bone metabolism disorders, while also delving into the underlying molecular signaling pathways and potential therapeutic implications. Piezo1, consisting of approximately 2 500 amino acids and forming a unique trimeric propeller-like structure, is widely expressed in chondrocytes, osteocytes, mesenchymal stem cells, and synovial cells. It exhibits permeability to cations such as Ca²⁺, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.

Objective:To investigate the application value of needle-knife accurate fistulo-tomy (NKAF) for difficult biliary cannulation during endoscopic retrograde cholangiopancreato-graphy (ERCP).Methods:The retrospective and descriptive study was conducted. The clinicopatho-logical data of 137 patients with difficult biliary cannulation during ERCP at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between January 2021 and December 2022 were collected. There were 51 males and 86 females, aged (69±13)years. All 137 patients received NKAF for cannulation during ERCP. Observation indicators: (1) surgical situations; (2) complications. Measurement data with normal distribution were represented as Mean± SD. Count data were repre-sented as absolute numbers. Results:(1) Surgical situations. Of 137 patients, 136 cases had succe-ssful cannulation, 1 case had failed cannulation with NKAF following unsuccessful double-guidewire technique. In the 136 successful cases, the endoscope was straightened in 42 cases, left in a long position in 37 cases, and maintained in the standard position in 57 cases. The cannulation time was (90±8)s. (2) Complications. The serum amylase at postoperative 6 hours in the 136 successful cases was (163±23)U/L. No patient developed post-ERCP pancreatitis. Of the 136 patients with successful cannulation, one case experienced post-sphincterotomy bleeding, which was observed oozing from the papillary orifice on emergency gastroscopy. The patient was successfully controlled with endoscopic clips.Conclusion:NKAF is safe and effective for difficult biliary cannulation during ERCP.

Objective To investigate the predictive value of preoperative ultrasound in combination with neutrophil-to-lymphocyte ratio(NLR),calcitonin(Ctn),and carcinoembryonic antigen(CEA)for cervical lymph node metastasis in patients with papillary thyroid carcinoma.Methods A total of 103 patients diagnosed with papillary thyroid carcinoma(PTC)who were admitted to the hospital between October 2021 and October 2024 were selected as the case group.Among them,34 patients with cervical lymph node metastasis confirmed by surgical and pathological examination were assigned to the metastatic group,and 69 patients without cervical lymph node metas-tasis were assigned to the non-metastatic group.Additionally,103 patients with benign thyroid nodules admitted during the same period were enrolled as the control group.Clinical data,ultrasonographic features,and serum levels of NLR,Ctn,and CEA were compared between the metastatic and non-metastatic groups.The predictive value of ultrasonographic features and the combined detection of NLR,Ctn,and CEA levels for cervical lymph node metastasis in PTC was evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared to the control group,the case group exhibited a higher proportion of patients with microcalcification and grade 3 blood flow,as well as elevated levels of NLR,Ctn,and CEA(P<0.05).Similarly,compared to the non-metastatic group,the metastatic group showed a higher proportion of patients with microcalcification and grade 3 blood flow,along with increased levels of NLR,Ctn,and CEA(P<0.05).The metastatic group tested positive,whereas the non-metastatic group tested negative.The area under the curve(AUC)for ultrasound features(micro-calcification,blood flow classification)combined with NLR,Ctn,and CEA levels in diagnosing cervical lymph node metastasis in papillary thyroid carcinoma was higher than that of individual indicators(P<0.05).Conclusions Preoperative ultrasound combined with the assessment of NLR,Ctn,and CEA levels demonstrates significant predictive value for cervical lymph node metastasis in papillary thyroid carcinoma.

Objective To investigate the risk factors and clinical significance of layered plaques that were detected by optical coherence tomography(OCT)in patients with angiographically intermediate coronary lesions,and relationship with prognosis.Methods This was a signal-center retrospective study focusing on patients whom underwent coronary angiography and OCT.The layered plaque group and non-layered plaque group were divided according to the presence or absence of stratified plaque.Clinical data,laboratory indicators,angiography,and OCT results were collected and compared between the two groups.Using logistic regression to analyze the relationship between stratified plaques and clinical features;Cox regression analysis was used to investigate the influencing factors of cardiovascular adverse events in patients with critical coronary artery disease.Results A total of 172 patients were enrolled,including 96 patients in non-layered plaque group and 76 patients in layered plaque group.Male(OR 2.415,95％CI 1.162-5.020,P=0.018),diabetes(OR 2.505,95％CI 1.137-5.525,P=0.023)and history of hyperlipidemia(OR 3.590,95％CI 1.478-6.333,P=0.003)were independent risk factors for stratified plaque.In OCT analysis,the proportion of thin-cap fibroatheroma(TCFA)plaque,macrophage infiltration,microvascularization,thrombosis,plaque rupture,and intimal dissection,as well as lipid plaque length,lipid plaque arc,and lipid plaque index were higher in the layered plaque group.After adjusting for other risk factors,macrophage infiltration is independently associated with stratified plaques(OR 2.106,95％CI 1.019-4.353,P=0.044).Kaplan-Meier survival analysis showed that the target lesion revascularization rate in the layered plaque group was higher than that in the non-layered plaque group(Log-rank P=0.030).Cox regression analysis shows that it has both stratified plaque and thin fibrous membrane plaque characteristics was an independent predictor of cardiovascular adverse events(HR 5.165,95％CI 1.696-15.727,P=0.004).Conclusions In patients with angiographically intermediate coronary lesions,OCT detection of stratified lesions is often accompanied by other unstable plaque features,indicating an increased risk of adverse cardiovascular events.Simultaneously possessing features of stratified plaques and TCFA is an independent predictor of adverse cardiovascular events in patients with critical coronary artery disease.

In order to understand the genetic variation and whole genome characteristics of goose as-trovirus(GoAstV)in Jiangxi Province,a strain of GoAstV was successfully isolated from a typical gosling gout case sample and the whole genome sequencing and genetic characteristics of the isola-ted strain were analyzed.The results showed that the JXNC1 strain could be stably passaged on LMH cells and could cause mild cytopathic effects in LMH cells.Sequencing and analysis showed that the full-length genome of the strain was 7 173 bp,and its genetic relationship was the closest to the GZ2301(PP966939)reference strain,belonging to the GoAstV-Ⅱ genotype.The complete genome of JXNC1 strain shared 98.1％-98.8％nucleotide similarity with 22 GoAstV-Ⅱ reference strains,and the amino acid similarity of ORF2 gene was 97.6％-99.6％.At the same time,the analysis results showed that the mutation of the strain mainly occurred in the ORF2 gene,and there were 13 amino acid site mutations,of which T630I was a unique mutation.Animal regression experiments showed that the inoculation of JXNC1 strain could cause urate deposition in the or-gans of goslings,congestion and dilatation of hepatic sinusoids,and small focal necrosis of some hepatocytes.Renal tissue tubular dilatation,renal interstitial connective tissue hyperplasia.The re-sults of this study laid a foundation for accurate prevention and control of the disease.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

In order to understand the genetic variation and whole genome characteristics of goose as-trovirus(GoAstV)in Jiangxi Province,a strain of GoAstV was successfully isolated from a typical gosling gout case sample and the whole genome sequencing and genetic characteristics of the isola-ted strain were analyzed.The results showed that the JXNC1 strain could be stably passaged on LMH cells and could cause mild cytopathic effects in LMH cells.Sequencing and analysis showed that the full-length genome of the strain was 7 173 bp,and its genetic relationship was the closest to the GZ2301(PP966939)reference strain,belonging to the GoAstV-Ⅱ genotype.The complete genome of JXNC1 strain shared 98.1％-98.8％nucleotide similarity with 22 GoAstV-Ⅱ reference strains,and the amino acid similarity of ORF2 gene was 97.6％-99.6％.At the same time,the analysis results showed that the mutation of the strain mainly occurred in the ORF2 gene,and there were 13 amino acid site mutations,of which T630I was a unique mutation.Animal regression experiments showed that the inoculation of JXNC1 strain could cause urate deposition in the or-gans of goslings,congestion and dilatation of hepatic sinusoids,and small focal necrosis of some hepatocytes.Renal tissue tubular dilatation,renal interstitial connective tissue hyperplasia.The re-sults of this study laid a foundation for accurate prevention and control of the disease.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.