With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective: Patients with severe symptomatic aortic stenosis are assessed for coronary artery disease (CAD) prior to transcatheter aortic valve implantation (TAVI) with treatment implications. Invasive coronary angiography (ICA) is the recommended modality but is associated with peri-procedural complications. Integrating machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) into existing TAVI-planning CT protocol may aid exclusion of significant CAD and thus avoiding ICA in selected patients. Materials and Methods: A single-center, retrospective study was conducted, 41 TAVI candidates with both TAVI-planning CT and ICA performed were analyzed. CT datasets were evaluated by a ML-based CT-FFR software. Beta-blocker and nitroglycerin were not administered in these patients. The primary outcome was to identify significant CAD. The diagnostic performance of CT-FFR was compared against ICA. Results: On per-patient level, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were 89%, 94%, 80%, 97% and 93%, respectively. On per-vessel level, the sensitivity, specificity, PPV, NPV and diagnostic accuracy were 75%, 94%, 67%, 96% and 92%, respectively. The area under the receiver operative characteristics curve per individual coronary vessels yielded overall 0.90 (95% confidence interval 85%–95%). ICA may be avoided in up to 80% of patients if CT-FFR results were negative. Conclusion ML-based CT-FFR can provide accurate screening capabilities for significant CAD thus avoiding ICA. Its integration to existing TAVI-planning CT is feasible with the potential of improving the safety and efficiency of pre-TAVI CAD assessment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

A biosynthetic gene cluster for the bioactive fungal sesterterpenoids variecolin ( 1) and variecolactone ( 2) was identified in Aspergillus aculeatus ATCC 16872. Heterologous production of 1 and 2 was achieved in Aspergillus oryzae by expressing the sesterterpene synthase VrcA and the cytochrome P450 VrcB. Intriguingly, the replacement of VrcB with homologous P450s from other fungal terpenoid pathways yielded three new variecolin analogues ( 5- 7). Analysis of the compounds' anticancer activity in vitro and in vivo revealed that although 5 and 1 had comparable activities, 5 was associated with significantly reduced toxic side effects in cancer-bearing mice, indicating its potentially broader therapeutic window. Our study describes the first tests of variecolin and its analogues in animals and demonstrates the utility of synthetic biology for creating molecules with improved biological activities.

Objective To explore the difference in the effectiveness between proximal femoral nail anti-rotation(PFNA)and proximal femoral locking compression plate(PFLCP)of intertrochanteric fracture in the elderly patients combined with knee osteoarthritis.Methods The clinical data of 65 intertrochanteric femoral fractures combined with knee osteoarthritis be-tween June 2015 and February 2021 were retrospectively analyze.They were divided into two groups according to the different surgical methods.PFNA group was composed of 36 patients,12 males and 24 females,aged from 61to 88 years old with an av-erage of(77.0±6.4)years old.There were 17 cases of left injury and 19 cases of right injury.According to modified Evans clas-sification,there were 3 cases of type Ⅱ,19 cases of type Ⅲ,10 cases of type Ⅳ,and 4 cases of type Ⅴ.PFLCP group was com-posed of 29 patients,11 males and 18 females,aged from 60 to 92 years old with an average of(78.8±6.5)years old.There were 14 cases of left injury and 15 cases of right injury.According to modified Evans classification,there were 2 cases of typeⅡ,18 cases of type Ⅲ,7 cases of type Ⅳ,and 2 cases of type Ⅴ.Comparison of operation time,intraoperation blood loss,postoperative bed time,incidence of postoperative complications,Harris score at 6 months and 1 year postoperation.Results All 65 patients were followed up ranging from 12 to 24 months with an average of(16.9±3.6)months.In the PFNA and PFLCP groups,the operation time was respectively(57.6±6.8)min and(77.4±6.5)min,the intraoperative blood loss was(128.3±50.3)ml and(156.3±23.9)ml,postoperative bed time was(4.0±2.5)days and(8.1±2.0)days,Harris score at 6 months post-operative was(45.3±8.6)points and(36.3±7.0)points.There were significant differences between two groups(P＜0.05).Inci-dence of postoperative complications was 19.4％(7/36)and 34.5％(10/29),Harris score at 1 year postoperative was(60.8±6.7)points and(59.0±8.1)points.There was no significant difference between the two groups(P＞0.05).Conclusion Compared with PFLCP,PFNA treatment of elderly patients with knee osteoarthritis between the femoral intertrochanteric fractures shorter surgical time,less intraoperative blood loss,bed rest after surgery,short-term hip function recovery better,when the affected knee joint can tolerate traction,can be used as a priority.

OBJECTIVE: To compare and analyze the early clinical effect of direct superior approach(DSA) and posterior lateral approach (PLA) in hemiarthroplasty for elderly patients with femoral neck fracture. METHODS: The clinical data of 72 elderly patients with femoral neck fracture who underwent hemiarthroplasty from January 2020 to December 2021 were retrospectively analyzed. Among them, 36 patients were operated through minimally invasive DSA including 10 males and 26 females with an average age of (82.82±4.05) years old; the other 36 patients underwent traditional PLA including 14 males and 22 females with an average age of (82.79±3.21) years old. The perioperative related indexes and Harris scores during follow-up between two groups were compared. RESULTS: Comparison of operation time between two groups, (79.41±17.39) min of DSA group was shorter than(98.45±26.58) min of PLA group;incision length (8.33±2.69) cm was shorter than (11.18±1.33) cm of PLA group;intraoperative blood loss (138.46±71.58) ml was less than (173.51±87.17) ml of PLA group, initial landing time (3.04±0.95) d was earlier than (4.52±1.10) d of PLA group, hospitalization time (8.70±1.89) d was shorter than (10.67±2.35) d of PLA group(P<0.05). There was no statistical difference in Harris score between two groups before operation(P>0.05), but Harris score in DSA group was higher than that of PLA group at 1 month after operation(P<0.05), but at 12 months after operation, the difference was not statistically significant between two groups(P>0.05). CONCLUSION Compared with PLA, DSA is superior in clinical indexes such as operation time, intraoperative blood loss, incision length, first landing time, length of hospitalization and Harris score in the first month after operation in hemi hip replacement, and has comparative advantages in promoting early postoperative rehabilitation of elderly patients with femoral neck.
Male ; Female ; Humans ; Aged ; Aged, 80 and over ; Blood Loss, Surgical ; Hemiarthroplasty ; Retrospective Studies ; Arthroplasty, Replacement, Hip ; Femoral Neck Fractures/surgery* ; Treatment Outcome

Over the past half-century,the climate change,along with population growth,worsens the intensity and frequency of sand storms in China,and the environmental and health problems have become increasingly prominent.Sand and dust particles not only possess their own toxicity but also carry numerous pathogenic microorganisms and heavy metals.This can lead to high concentrations of local dust pollution,causing significant harm to the air environment and the health of residents in downwind areas during long-distance transportation sand and dust.Based on a comprehensive literature review on the health effects of dust storms,this paper aims to summarize the impact of various pathogenic factors presenting in dust storms on human health and the underlying mechanisms to provide a scientific foundation for the development of more effective control measures.In the future,amidst the backdrop of climate change,it is crucial to prioritize the research and analysis of dust source regions and dust control strategies in northern China.Additionally,there is a need to enhance the technology for simulating sand and dust environments in experiments,and to adopt a multidisciplinary approach to investigate the medical and toxicological aspects of sand and dust weather.

To compare the clinical features and prognosis in patients with cytomegalovirus pneumonia from other pneumonia after allogeneic hematopoietic stem cell transplantation (allo-HSCT). A total of 118 patients with pulmonary complications after allo-HSCT from March 2016 to June 2019 were analyzed retrospectively, who were divided into cytomegalovirus (CMV) pneumonia group ( n=34) and the non-CMV pneumonia group ( n=84). Compared with non-CMV pneumonia group, CMV pneumonia group presented earlier median onset time (1.8 vs.6.0 months, P=0.015) after allo-HSCT, more dyspnea (41.2% vs. 19.0%, P=0.012), hypoxemia (38.2% vs. 13.1%, P=0.006), and interstitial pneumonia (82.4% vs. 23.8%, P<0.01).The incidence of CMV-viremia and serum viral load in CMV pneumonia group were significantly higher than those in non-CMV pneumonia group. Consistently, and the development of mixed infection in CMV pneumonia group was higher than that of non-CMV pneumonia group (41.2% vs. 16.7%, P=0.013). The median follow-up time was 12.8 (0.4-46.5) months. The 1-year attributable mortality in CMV pneumonia group was significantly higher than that in non-CMV pneumonia group (26.5% vs. 10.7%, P=0.004), while the 1-year overall survival rate was significantly lower than that in non-CMV pneumonia group (61.8% vs. 85.7%, P=0.001). Reduced-intensity conditioning (RIC)( P=0.036), high flow ventilation ( P=0.033) and negative CMV-viremia ( P=0.009) were unfavorable prognostic factors of patients with CMV pneumonia. Compared with those with non-CMV pneumonia, patients with CMV pneumonia had more characteristic clinical manifestations and imaging features. However, due to the higher incidence of mixed infections, the causes of pneumonia need to be identified by bronchoscopic alveolar lavage. In conclusion, patients with CMV pneumonia have worse clinical outcome. RIC, high flow ventilation and negative CMV-viremia are adverse prognostic factors for CMV pneumonia.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

To establish the UPLC fingerprint of Zhongyi Angong Niuhuang Pills, in order to evaluate its quality by chemical pattern recognition. The method was developed on a column of Poroshell 120 EC-C_(18), with methanol-0.1% formic acid solution as the mobile phase for gradient elution at a flow rate of 0.4 mL·min~(-1). The column temperature was 30 ℃,and the detective wavelength was 254 nm. The similarity of 24 batches of Angong Niuhuang Pills was compared by using Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System(2004 A). Hydrophobic cluster analysis,principal components analysis and partial least squares discriminant analysis were conducted by using SIMCA 13.0 software to investigate different components among these products. The UPLC characteristic fingerprint was established in this study. And 17 common peaks were identified by standard reference and UPLC-MS. The similarity of 24 batches samples were above 0.980,which can be classified into three categories for pattern recognition. Baicalin,berberine,jatrorrhizine,wogonin and wogonoside were identified as the main markers that cause differences of various batches. The method is simple,rapid,accurate and reproducible,and can provide scientific basis for improving the quality standard of Zhongyi Angong Niuhuang Pills.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Tandem Mass Spectrometry