Nasopharyngeal carcinoma (NPC) is endemic to southern China. Currently, its treatment and prognosis reply primarily on the TNM staging system and EBV-DNA testing; however, these parameters have limitations in fully capturing the tumor’s biological heterogeneity and the host's immunonutritional status. In recent years, systemic inflammatory and nutritional indices, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), prognostic nutritional index (PNI), and skeletal muscle index (SMI), have proven effective for assessing systemic inflammation and nutritional status. Accumulating evidence has demonstrated that these indicators are closely associated with treatment response, progression-free survival (PFS), and overall survival (OS) in NPC patients, and also show promise in predicting the efficacy of immune checkpoint inhibitors. This review aims to systematically elaborate on the prognostic value of these inflammatory and nutritional indicators in the context of NPC immunotherapy, to inform the development of individualized precision treatment strategies.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

The bioactivity-guided isolation of potentially active natural products has been widely utilized in pharmaceutical discovery. In this study, by screening fungal extracts against coxsackievirus B3 (CVB3), three new aspochalasins, templichalasins A‒C (1‒3), along with six known aspochalasins (4‒9) were isolated from an active extract derived from the endophytic fungus Aspergillus templicola LHWf045. Compound 1 features a unique 5/6/5/7/5 pentacyclic ring system, while compounds 2 and 3 possess unusual 5/6/6/7 tetracyclic skeletons. Their structures were characterized through extensive spectroscopic analyses, electronic circular dichroism (ECD) calculations, and single-crystal X-ray diffraction analysis. Additionally, we demonstrated that compound 4 can be readily converted into compounds 1‒3 under mild acidic conditions and proposed a plausible mechanism for this conversion. Bioactivity evaluation of compounds 1‒9 against CVB3 revealed the inhibitory effects of all compounds against the virus. Notably, compound 9 exhibited superior antiviral activity, surpassing the commercial drug ribavirin in selectivity index (SI) value.
Antiviral Agents/isolation & purification* ; Aspergillus/chemistry* ; Molecular Structure ; Enterovirus B, Human/drug effects* ; Endophytes/chemistry* ; Cytochalasins/isolation & purification* ; Drug Discovery ; Humans

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

Objective:To screen the risk factors of acute kidney injury (AKI) in patients with multiple trauma, construct a prediction model accordingly, and evaluate its predictive value.Methods:A retrospective cohort study was performed to analyze the clinical data of 560 multiple trauma patients who were admitted to while Affiliated Hospital of Jiangsu University from January 2017 to June 2023, including 424 males and 136 females, aged 18-91 years [(55.5±15.0)years]. The patients were randomly divided into a training set ( n=392) and validation set ( n=168) with a ratio of 7∶3. Of all, 77 patients were combined with AKI in the training set, while 33 patients combined with AKI in the validation set. The AKI group and non-AKI group in the training set were compared in terms of gender, age, hypertension, diabetes, cause of injury, abbreviated injury scale (AIS) score of head and neck injury, AIS score of maxillofacial injury, AIS score of chest injury, AIS score of abdominal injury, AIS score of extremities and pelvic injury, AIS score of body surface injury, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, Glasgow coma score (GCS) on admission, revised trauma score (RTS) on admission, acute physiology and chronic health assessment II (APACHE II) on admission, injury severity score (ISS) on admission, and laboratory test results on admission including white blood cell count, neutrophil count, lymphocyte count, C-reactive protein, hemoglobin, platelet count, activated partial thromboplastin time (APTT), prothrombin (PT), fibrinogen (FIB), thrombin time (TT), international normalized ratio (INR), D-dimer, blood lactate, base excess, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, globulin, urea nitrogen, serum creatinine, blood glucose, potassium, sodium and chloronium. In the training set, univariate analysis and Lasso regression analysis were used to screen the risk factors of AKI in patients with multiple trauma, which were then included into multivariate logistic regression analysis to identify the independent risk factors. A nomogram prediction model was constructed using the R software based on the above independent risk factors. Hosmer-Lemeshow (H-L) goodness-of-fit test was performed to evaluate the fitting degree of the prediction model in the training set and the validation set, and the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve (DCA) were plotted in the training set and the validation set to evaluate the predictive performance of the prediction model. Results:There were statistically significant differences in AIS score of abdominal injury, heart rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, GCS on admission, RTS on admission, APACHE II on admission, ISS on admission as well as hemoglobin, platelet count, APTT, PT, FIB, TT, INR, blood lactate, base excess, AST, albumin, globulin, urea nitrogen, serum creatinine, blood glucose and sodium on admission between the AKI group and the non-AKI group ( P<0.05 or 0.01). The characteristic variables screened by Lasso regression analysis included AIS score of abdominal injury, red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drugs therapy, blood lactate on admission, blood creatinine on admission, AST on admission, and blood sodium on admission. Multivariate logistic regression analysis showed that red blood cell transfusion volume within 24 hour following admission ( OR=1.09, 95% CI 1.01, 1.18), mechanical ventilation ( OR=2.49, 95% CI 1.06, 5.85), vasoactive drug therapy ( OR=2.04, 95% CI 1.03, 4.03), blood lactate on admission ( OR=1.10, 95% CI 1.01, 1.21) and serum creatinine on admission ( OR=1.02, 95% CI 1.01, 1.03) were independent risk factors for AKI in patients with multiple trauma ( P<0.05). The regression equation was constructed: Logit[ P/(1- P)]=0.086 2×"red blood cell transfusion volume within 24 hour following admission"+0.912 7×"mechanical ventilation"+0.713 2×"vasoactive drug therapy"+0.098 9×"blood lactate on admission"+0.019 2×"serum creatinine on admission" -4.822 3. H-L goodness-of-fit test showed χ2 value of 9.50 in the training set ( P>0.05) and 6.43 in the validation set ( P>0.05). The results of the ROC curve indicated that the area under the curve (AUC) was 0.84 (95% CI 0.78, 0.89) in the training set and 0.80 (95% CI 0.72, 0.88) in the validation set. The calibration curves showed good agreement with the actual curves, with the predicted probability consistent with the actual probability in both training set and validation set. DCA analysis showed that the threshold probability ranged from 2% to 70% with the net benefit rate of the prediction model greater than 0 in the training set, while the threshold probability ranged from 3% to 69% with the net benefit rate of the prediction model greater than 0 in the validation set. Conclusions:Red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drug therapy, lactate and serum creatinine on admission are independent risk factors for AKI in patients with multiple trauma. The nomogram prediction model based on the above 5 predictive variables of AKI in patients with multiple trauma shows good predictive efficacy and clinical application value.

Objective:To establish a three-dimensional navigation process for design and resection of perforator flaps based on multi-detector computed tomography angiography (MDCTA) and to explore its clinical application effects.Methods:This study was a retrospective observational study. From January 2021 to October 2023, 7 patients and 6 patients with post-traumatic skin and soft tissue defects in extremity and conformed to the inclusion criteria were admitted to the Affiliated Hospital of Jiangsu University and Wuxi No. 9 People's Hospital, respectively. There were 8 males and 5 females, aged 21 to 68 years. Nine patients had wounds on the hand and 4 patients had wounds on the foot. The wound area after debridement ranged from 8.0 cm×6.0 cm to 18.0 cm×17.0 cm. Through the three-dimensional navigation process based on MDCTA, 14 perforator flaps were designed and resected, including 11 free anterolateral thigh perforator flaps and 3 pedicled peroneal artery perforator flaps with sural nerve nutritional vessel chain, with flap size ranging from 9.0 cm×6.0 cm to 20.0 cm×15.0 cm. Six wounds in the flap donor sites were directly sutured, and eight wounds in the flap donor sites were transplanted with skin grafts. The consistency of the location, type, and source of the perforators was compared between the preoperative navigation display and actual intraoperative detection. Immediately after surgery, the coverage of wound by the flap was evaluated according to the self-made criteria. The postoperative flap survival was observed. The occurrence of complications was observed during follow-up. At the last follow-up, the appearance of the flaps was observed, the blood supply of the flaps and the hand function of the 9 patients with hand trauma were evaluated according to the trial standards for evaluation of partial function of upper extremity by the Hand Surgery Society of Chinese Medical Association, and the foot function of the 4 patients with foot trauma was assessed using the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot Scoring System.Results:The location, type, and source of the perforators displayed in preoperative navigation were consistent with the actual intraoperative detection. Immediately after surgery, the coverage of the wounds by 11 flaps was rated as excellent, and that of 3 flaps was rated as moderate. Postoperatively, 13 flaps survived completely, and 1 flap had partial necrosis, which healed after a full-thickness skin grafting from the thigh. Patients were followed up for 4 to 24 months postoperatively, one patient developed a hematoma under the flap, and one patient had local infection. At the last follow-up, the flaps of all patients were good in color and texture, and 5 patients with bloated flaps post operation had good appearance after thinning surgery; the blood supply was excellent in 12 flaps and was good in 2 flaps; among patients with hand trauma, the hand function was rated as excellent in 2 cases, good in 4 cases, and poor in 3 cases; among patients with foot trauma, the foot function was rated as excellent in 3 cases and good in 1 case.Conclusions:The three-dimensional navigation process for design and resection of perforator flaps based on MDCTA realizes precise evaluation of perforator vessels in flap donor sites and skin and soft tissue defects in the recipient sites. Guided by the three-dimensional navigation process, the application of free anterolateral thigh perforator flaps and pedicled peroneal artery perforator flaps with sural nerve nutritional vessel chain in repairing skin and soft tissue defects in extremity realizes precise surgery, reducing flap donor site injury and achieving excellent clinical outcomes.

Objective:To explore the early diagnostic value and related mechanism of Lnc-IL7R/Jumonji domain-containing protein 3(Jmjd3)/keratinocyte growth factor(KGF)axis in inflammatory injury of acute respiratory distress syndrome(ARDS).Methods:① RT-qPCR and Western blot were used to detect Lnc-IL7R,Jmjd3,KGF mRNA and protein levels,as well as trimethyl-ation of histone H3 at lysine 27(H3K27)me3 protein level in serum of ARDS patients;ELISA was used to detect IL-1β,IL-6,TNF-α levels in serum.② Mitochondrial damage-associated molecular patterns(MTDs)was used to stimulate HBE cells and create traumatic ARDS cell model.HBE cells were divided into control group,model group(MTDs group),overexpression Lnc-IL7R group(Lnc-IL7R group),overexpression control group(NC group),overexpression Lnc-IL7R+overexpression Jmjd3 group(Lnc-IL7R+Jm-jd3 group).Chromatin immunoprecipitation(ChIP)was used to detect Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in pro-moter region;qRT-PCR and Western blot were used to detect Lnc-IL7R,Jmjd3,KGF,IL-1β,IL-6,TNF-α mRNA and protein levels,as well as H3K27me3 protein level.③ Injection of MTDs into tail vein of mice was used to create traumatic ARDS mice model.Eighty mice were divided into control group,MTDs group,Lnc-IL7R group,NC group and Lnc-IL7R+Jmjd3 group,with sixteen mice in each group.HE staining was used to detect pathological damage in lung tissue;ChIP and RT-qPCR were used to detect Lnc-IL7R,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region and mRNA levels;ELISA was used to detect IL-1β,IL-6,TNF-α protein levels in BALF;Western blot was used to detect Jmjd3,KGF,H3K27me3 protein levels in lung tissue;immunohisto-chemical staining was used to detect surfactant protein C(SPC)and surfactant protein D(SPD)protein levels in lung tissue.Results:①Compared with healthy individuals,Lnc-IL7R,Jmjd3,KGF mRNA and protein levels,IL-1β,IL-6,TNF-α protein levels in serum of ARDS patients were significant increased,while H3K27me3 protein level was significant decreased(P<0.05).②Compared with control group,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,H3K27me3 protein level in HBE of MTDs group were significant decreased,while Lnc-IL7R,Jmjd3,KGF,IL-1β,IL-6,TNF-α mRNA and protein levels,Lnc-IL7R were significant increased(P<0.05);after overexpression of Lnc-IL7R,Lnc-IL7R,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,KGF mRNA and protein levels,H3K27me3 protein level were significant increased,Jmjd3,IL-1β,IL-6,TNF-α mRNA and protein levels in lung tissue and BALF were significant decreased(P<0.05);overexpression of Jmjd3 could partially reverse the effects of overexpression of Lnc-IL7R on the above indicators(P<0.05).③Compared with Control group,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,H3K27me3 protein level in lung tissue of MTDs group were significant decreased,while Lnc-IL7R,Jmjd3,KGF,IL-1β,IL-6,TNF-α mRNA and protein levels,H3K27me3,SPC,SPD protein levels in lung tissue and BALF were significant increased(P<0.05);after overexpression of Lnc-IL7R,Lnc-IL7R,Jmjd3,IL-1β,IL-6,TNF-α histone methylation levels in the promoter region,KGF mRNA and protein levels,H3K27me3,SPC,SPD protein levels in lung tissue were significant increased,while Jmjd3,IL-1β,IL-6,TNF-α mRNA and protein levels in lung tissue and BALF were significant decreased(P<0.05);overexpression of Jmjd3 could partially reverse the effects of overexpression of Lnc-IL7R on the above indicators(P<0.05).Conclusion:Lnc-IL7R/Jmjd3/KGF axis participates in inflammation regulation and alveolar epithelial cell injury repair in ARDS by regulating histone methylation modifications in the promoter region.Lnc-IL7R/Jmjd3/KGF can be used for early diagnosis of ARDS.

Objective:To screen the risk factors of acute kidney injury (AKI) in patients with multiple trauma, construct a prediction model accordingly, and evaluate its predictive value.Methods:A retrospective cohort study was performed to analyze the clinical data of 560 multiple trauma patients who were admitted to while Affiliated Hospital of Jiangsu University from January 2017 to June 2023, including 424 males and 136 females, aged 18-91 years [(55.5±15.0)years]. The patients were randomly divided into a training set ( n=392) and validation set ( n=168) with a ratio of 7∶3. Of all, 77 patients were combined with AKI in the training set, while 33 patients combined with AKI in the validation set. The AKI group and non-AKI group in the training set were compared in terms of gender, age, hypertension, diabetes, cause of injury, abbreviated injury scale (AIS) score of head and neck injury, AIS score of maxillofacial injury, AIS score of chest injury, AIS score of abdominal injury, AIS score of extremities and pelvic injury, AIS score of body surface injury, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, Glasgow coma score (GCS) on admission, revised trauma score (RTS) on admission, acute physiology and chronic health assessment II (APACHE II) on admission, injury severity score (ISS) on admission, and laboratory test results on admission including white blood cell count, neutrophil count, lymphocyte count, C-reactive protein, hemoglobin, platelet count, activated partial thromboplastin time (APTT), prothrombin (PT), fibrinogen (FIB), thrombin time (TT), international normalized ratio (INR), D-dimer, blood lactate, base excess, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, globulin, urea nitrogen, serum creatinine, blood glucose, potassium, sodium and chloronium. In the training set, univariate analysis and Lasso regression analysis were used to screen the risk factors of AKI in patients with multiple trauma, which were then included into multivariate logistic regression analysis to identify the independent risk factors. A nomogram prediction model was constructed using the R software based on the above independent risk factors. Hosmer-Lemeshow (H-L) goodness-of-fit test was performed to evaluate the fitting degree of the prediction model in the training set and the validation set, and the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve (DCA) were plotted in the training set and the validation set to evaluate the predictive performance of the prediction model. Results:There were statistically significant differences in AIS score of abdominal injury, heart rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, GCS on admission, RTS on admission, APACHE II on admission, ISS on admission as well as hemoglobin, platelet count, APTT, PT, FIB, TT, INR, blood lactate, base excess, AST, albumin, globulin, urea nitrogen, serum creatinine, blood glucose and sodium on admission between the AKI group and the non-AKI group ( P<0.05 or 0.01). The characteristic variables screened by Lasso regression analysis included AIS score of abdominal injury, red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drugs therapy, blood lactate on admission, blood creatinine on admission, AST on admission, and blood sodium on admission. Multivariate logistic regression analysis showed that red blood cell transfusion volume within 24 hour following admission ( OR=1.09, 95% CI 1.01, 1.18), mechanical ventilation ( OR=2.49, 95% CI 1.06, 5.85), vasoactive drug therapy ( OR=2.04, 95% CI 1.03, 4.03), blood lactate on admission ( OR=1.10, 95% CI 1.01, 1.21) and serum creatinine on admission ( OR=1.02, 95% CI 1.01, 1.03) were independent risk factors for AKI in patients with multiple trauma ( P<0.05). The regression equation was constructed: Logit[ P/(1- P)]=0.086 2×"red blood cell transfusion volume within 24 hour following admission"+0.912 7×"mechanical ventilation"+0.713 2×"vasoactive drug therapy"+0.098 9×"blood lactate on admission"+0.019 2×"serum creatinine on admission" -4.822 3. H-L goodness-of-fit test showed χ2 value of 9.50 in the training set ( P>0.05) and 6.43 in the validation set ( P>0.05). The results of the ROC curve indicated that the area under the curve (AUC) was 0.84 (95% CI 0.78, 0.89) in the training set and 0.80 (95% CI 0.72, 0.88) in the validation set. The calibration curves showed good agreement with the actual curves, with the predicted probability consistent with the actual probability in both training set and validation set. DCA analysis showed that the threshold probability ranged from 2% to 70% with the net benefit rate of the prediction model greater than 0 in the training set, while the threshold probability ranged from 3% to 69% with the net benefit rate of the prediction model greater than 0 in the validation set. Conclusions:Red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drug therapy, lactate and serum creatinine on admission are independent risk factors for AKI in patients with multiple trauma. The nomogram prediction model based on the above 5 predictive variables of AKI in patients with multiple trauma shows good predictive efficacy and clinical application value.

The development of novel point-to-point drugs targeting resistance mechanisms is a critical and popular research field; nevertheless, success remains challenging. Therefore, given the short survival time and heightened expectations of patients with advanced NSCLC, the design of various combination therapy strategies––integrating preclinical, clinical, and real-world evidence (such as radiotherapy, chemotherapy, targeted therapy, antibody–drug conjugates, oncolytic viruses, and cell therapy)––may be a wise and practical choice to address the disease. Resistance to immunotherapy involves almost all cell types in the body, primarily cancer cells and T cells involved in immune surveillance. As a result of space limitations, this article focuses on the progress and challenges of various combined strategies for directly eliminating cancer cells. We also emphasize the realignment of treatment goals, shifting from primarily focusing on eliminating cancer cells (via chemotherapy and radiotherapy) to fully utilizing immune regulation to overcome resistance to immune checkpoint inhibitors.