Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Sigma-1 receptor (σ ₁R) has become a focus point of drug discovery for central nervous system (CNS) diseases. A series of novel 1-phenylethan-1-one O-(2-aminoethyl) oxime derivatives were synthesized. In vitro biological evaluation led to the identification of 1a, 14a, 15d and 16d as the most high-affinity (K _i < 4 nmol/L) and selective σ ₁R agonists. Among these, 15d, the most metabolically stable derivative exhibited high selectivity for σ ₁R in relation to σ ₂R and 52 other human targets. In addition to low CYP450 inhibition and induction, 15d also exhibited high brain permeability and excellent oral bioavailability. Importantly, 15d demonstrated effective antipsychotic potency, particularly for alleviating negative symptoms and improving cognitive impairment in experimental animal models, both of which are major challenges for schizophrenia treatment. Moreover, 15d produced no significant extrapyramidal symptoms, exhibiting superior pharmacological profiles in relation to current antipsychotic drugs. Mechanistically, 15d inhibited GSK3β and enhanced prefrontal BDNF expression and excitatory synaptic transmission in pyramidal neurons. Collectively, these in vivo proof-of-concept findings provide substantial experimental evidence to demonstrate that modulating σ ₁R represents a potential new therapeutic approach for schizophrenia. The novel chemical entity along with its favorable drug-like and pharmacological profile of 15d renders it a promising candidate for treating schizophrenia.

To identify the bacterial pathogens in a case of goat respiratory disease in Yunnan prov-ince,three Gram-negative,rod-shaped bacteria strains,YN240861,YN240862 and YN240863,were isolated from lung samples of three diseased goats with respiratory disease,and the identifications of the biochemical and the sequence similarity and phylogeny of 16S rDNA gene,and the analyses of the pathogenicity and antimicrobial susceptibility were studied.The results of the bacterial iden-tification indicated that the most biochemical characteristics of the three isolates were identical with those of the Histophilus somni(H.somni)type stain ATCC 43625T and the other reference strains of H.somni.The three strains had the 16S rDNA sequence similarity of 97.7％with H.som-ni type strain ATCC 43625T,and shared the 16S rDNA sequence similatiies of 99.4％-99.9％with the other H.somni reference strains.The three strains formed the same branch with all the H.som-ni reference strains in the 16S rDNA gene sequence phylogenetic tree.Based on these identification results,the three strains were identified as H.somni.The mouse pathogenicity test showed that each of the three strains had the median lethal dose(LD50)≤7.6×10 5 CFU in mice,which indica-ted that the three stains have higher pathogenicity to mice.The results of the antimicrobial suscep-tibility test indicated that the three strains were sensitive to ampicillin of penicillins,cefazolin and ceftriaxone of cephalosporins,chloramphenicol and florfenicol of chloramphenicols,kanamycin and gentamicin of aminoglycosides,and ofloxacin of quinolones.The strain YN240862 was resistant to sulfamethoxazole of sulfonamides.To our knowledge,this is the first isolation of Hi.somni in Chi-na,and confirmed the presence of H.somni infection in goats in China,which provides the basic da-ta for the prevention and treatment of H.somni infection in goats in China.

Objective:To investigate the clinical significance of CD105 and erythropoietin-producing hepatocellular receptor A2 (EPHA2) expressions in breast invasive ductal carcinoma and the effects of the combination of diabetes mellitus on CD105 and EPHA2 expressions.Methods:A retrospective case series study was conducted. A total of 74 patients with breast invasive ductal carcinoma in Affiliated Hospital of Jiangsu University from June 2019 to June 2024 were selected, and paraffin specimens from the patients after surgery were collected. Immunohistochemistry SP method was used to detect the expressions of CD105 and EPHA2 proteins in specimens. CD105 expression was expressed as the number of CD105 labeled microvessels, and EPHA2 expression was expressed as the proportion of EPHA2 positive expression area. The correlation of CD105 and EPHA2 expressions with the clinicopathological characteristics and diabetes mellitus of patients, as well as the relationship between the expressions of CD105 and EPHA2 were analyzed. Cox proportional hazards model was used to make univariate and multivariate analysis of the factors influencing overall survival of patients.Results:All 74 patients were female. The median age was 60 years old, 44 patients (59.46%) had tumor grade ≥ grade 3, 36 patients (48.65%) had tumor diameter ≥ 2 cm, 28 patients (37.84%) had lymph node metastasis, 30 patients (40.54%) had nerve vessel invasion, and 32 patients (43.24%) had diabetes mellitus. There were statistically significant differences in the proportion of patients with different age, tumor diameter, TNM stage, lymph node metastasis or not and nerve vessel invasion or not between diabetes mellitus group and non-diabetes mellitus group (all P < 0.05). The number of CD105 marking the microvessel was (32±9) and (24±8), respectively in diabetes mellitus group and non-diabetes mellitus group, and the difference was statistically significant ( t = 3.63, P < 0.010); the positive expression area proportion of EPHA2 was (19±5)% and (15±4)%, respectively, and the difference was statistically significant ( t = 3.85, P < 0.010). The expression of CD105 was related to the duration of diabetes mellitus, tumor diameter, TNM stage and lymph node metastasis or not (all P < 0.05), and the expression of EPHA2 was related to tumor diameter and TNM stage (all P < 0.05). Pearson correlation analysis showed a positive correlation between CD105 and EPHA2 expression ( r = 0.75, P < 0.001). The differences in overall survival of patients with or without diabetes mellitus and patients with different CD105 and EPHA2 expressions were statistically significant (all P < 0.05). Multivariate analysis showed that CD105 expression ( HR = 1.10, 95% CI: 1.04-1.16, P = 0.001) and EPHA2 expression ( HR = 1.35, 95% CI: 1.10-1.66, P = 0.005) were independent factors influencing the overall survival of patients with breast invasive ductal carcinoma. Conclusions:The expressions of CD105 and EPHA2 are independent prognostic factors in patients with breast invasive ductal carcinoma, and diabetes mellitus can promote the expressions of CD105 and EPHA2, which may increase the risk of poor prognosis.

BACKGROUND:The highest incidence of spinal fracture is in the thoracolumbar segment,and its symptoms are back pain,posterior convexity deformity,activity limitation,or with spinal cord nerve injury causing lower limb pain,numbness,and even paraplegia and other complications.The finite element method is a digital computer modeling technique,which can simulate the physical model and carry out force analysis realistically.OBJECTIVE:To review the application of finite element method in thoracolumbar spine fractures.METHODS:We searched the Chinese and English literature databases PubMed,Web of Science,and CNKI for relevant literature on the application of the finite element analysis method in spinal thoracolumbar fracture published before March 2024.The search terms in Chinese and English were:finite element analysis methods,biomechanical phenomena,stress analysis,thoracolumbar fractures,spinal fractures.Finally,55 papers were included.RESULTS AND CONCLUSION:(1)The exploration of thoracolumbar fractures caused by different etiologies(osteoporotic,traumatic,and pathological)through the finite element method is conducive to a deeper understanding of the biomechanics of various types of thoracolumbar fractures,and to improve the individualized and fine-tuned treatment of thoracolumbar fractures.(2)The finite element analysis of a single sample or a small number of samples has the chance,and a larger number of samples are required for the future finite element analysis to reduce the chance caused by the sample.(3)The rigid structure of bones alone cannot meet the biomechanical working conditions of the integrity of the physical object,and future finite element models need to incorporate all the structures of the physical object(e.g.,soft tissues,such as muscles and ligaments)as far as possible.(4)The finite element method has been used in more studies on osteoporotic and traumatic thoracolumbar spine fractures,which will need to be more in-depth in the future,and less in the field of pathologic thoracolumbar fractures,which has a wider scope for future research.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

BACKGROUND: There is little literature describing the artificial intelligence (AI)-aided diagnosis of severe pneumonia (SP) subphenotypes and the association of the subphenotypes with the ventilatory treatment efficacy. The aim of our study is to illustrate whether clinical and biological heterogeneity, such as ventilation and gas-exchange, exists among patients with SP using chest computed tomography (CT)-based AI-aided latent class analysis (LCA). METHODS: This retrospective study included 413 patients hospitalized at Xinhua Hospital diagnosed with SP from June 1, 2015 to May 30, 2020. AI quantification results of chest CT and their combination with additional clinical variables were used to develop LCA models in an SP population. The optimal subphenotypes were determined though evaluating statistical indicators of all the LCA models, and clinical implications of them such as guiding ventilation strategies were further explored by statistical methods. RESULTS: The two-class LCA model based on AI quantification results of chest CT can describe the biological characteristics of the SP population well and hence yielded the two clinical subphenotypes. Patients with subphenotype-1 had milder infections ( P <0.001) than patients with subphenotype-2 and had lower 30-day ( P <0.001) and 90-day ( P <0.001) mortality, and lower in-hospital ( P = 0.001) and 2-year ( P <0.001) mortality. Patients with subphenotype-1 showed a better match between the percentage of non-infected lung volume (used to quantify ventilation) and oxygen saturation (used to reflect gas exchange), compared with patients with subphenotype-2. There were significant differences in the matching degree of lung ventilation and gas exchange between the two subphenotypes ( P <0.001). Compared with patients with subphenotype-2, those with subphenotype-1 showed a relatively better match between CT-based AI metrics of the non-infected region and oxygenation, and their clinical outcomes were effectively improved after receiving invasive ventilation treatment. CONCLUSIONS A two-class LCA model based on AI quantification results of chest CT in the SP population particularly revealed clinical heterogeneity of lung function. Identifying the degree of match between ventilation and gas-exchange may help guide decisions about assisted ventilation.
Humans ; Tomography, X-Ray Computed/methods* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Artificial Intelligence ; Aged ; Pneumonia/diagnosis* ; Latent Class Analysis ; Adult

Objective:To investigate the factors in fluencing thyroid function abnormality(TFA)and its relationship with the clinical efficacy of sindilizumab treatment in patients with advanced gastric cancer.Methods:The clinical data of 180 patients with advanced gastric cancer treated with sintilimab at Jinan People's Hospital from January 2021 to June 2024 were retrospectively reviewed.Patients were assigned in-to the TFA group and the normal control group according to thyroid function.Factors influencing the occurrence of TFA were investigated using the χ2 test and multifactorial Logistic regression.Kaplan-Meier analysis and the Log-rank test were used for comparison between groups.Univariate and multivariate Cox regression were used to assess the correlation between TFA and therapeutic efficacy.Results:A total of 52 patients developed TFA.Univariate analysis showed that history of thyroid nodule,treatment regimen,liver metastasis,and car-cinoembryonic antigen(CEA)were associated with the development of TFA.Multifactorial Logistic regression analysis showed that history of thyroid nodule,treatment regimen,and CEA were independent risk factors for the development of TFA(P<0.05).The objective response rate(ORR;34.6%vs.14.1%,P=0.002),disease control rate(DCR;69.2%vs.59.8%,P=0.024),and 1-year survival rate(59.6%vs.28.9%,P=0.012)were all better in the normal control group than those in the TFA group.Cox regression analysis showed that occurrence of TFA,liver meta-stasis,and≥6 treatment cycles were all independently associated with progression-free survival and overall survival in patients with ad-vanced gastric cancer(P<0.05).Conclusions:History of thyroid nodule,treatment regimen,and CEA may influence the occurrence of TFA.TFA may be a potential predictor of the efficacy of sindilizumab therapy for advanced gastric cancer,with patients who develop TFA poten-tially having better treatment outcomes.

To identify the bacterial pathogens in a case of goat respiratory disease in Yunnan prov-ince,three Gram-negative,rod-shaped bacteria strains,YN240861,YN240862 and YN240863,were isolated from lung samples of three diseased goats with respiratory disease,and the identifications of the biochemical and the sequence similarity and phylogeny of 16S rDNA gene,and the analyses of the pathogenicity and antimicrobial susceptibility were studied.The results of the bacterial iden-tification indicated that the most biochemical characteristics of the three isolates were identical with those of the Histophilus somni(H.somni)type stain ATCC 43625T and the other reference strains of H.somni.The three strains had the 16S rDNA sequence similarity of 97.7％with H.som-ni type strain ATCC 43625T,and shared the 16S rDNA sequence similatiies of 99.4％-99.9％with the other H.somni reference strains.The three strains formed the same branch with all the H.som-ni reference strains in the 16S rDNA gene sequence phylogenetic tree.Based on these identification results,the three strains were identified as H.somni.The mouse pathogenicity test showed that each of the three strains had the median lethal dose(LD50)≤7.6×10 5 CFU in mice,which indica-ted that the three stains have higher pathogenicity to mice.The results of the antimicrobial suscep-tibility test indicated that the three strains were sensitive to ampicillin of penicillins,cefazolin and ceftriaxone of cephalosporins,chloramphenicol and florfenicol of chloramphenicols,kanamycin and gentamicin of aminoglycosides,and ofloxacin of quinolones.The strain YN240862 was resistant to sulfamethoxazole of sulfonamides.To our knowledge,this is the first isolation of Hi.somni in Chi-na,and confirmed the presence of H.somni infection in goats in China,which provides the basic da-ta for the prevention and treatment of H.somni infection in goats in China.

BACKGROUND:The highest incidence of spinal fracture is in the thoracolumbar segment,and its symptoms are back pain,posterior convexity deformity,activity limitation,or with spinal cord nerve injury causing lower limb pain,numbness,and even paraplegia and other complications.The finite element method is a digital computer modeling technique,which can simulate the physical model and carry out force analysis realistically.OBJECTIVE:To review the application of finite element method in thoracolumbar spine fractures.METHODS:We searched the Chinese and English literature databases PubMed,Web of Science,and CNKI for relevant literature on the application of the finite element analysis method in spinal thoracolumbar fracture published before March 2024.The search terms in Chinese and English were:finite element analysis methods,biomechanical phenomena,stress analysis,thoracolumbar fractures,spinal fractures.Finally,55 papers were included.RESULTS AND CONCLUSION:(1)The exploration of thoracolumbar fractures caused by different etiologies(osteoporotic,traumatic,and pathological)through the finite element method is conducive to a deeper understanding of the biomechanics of various types of thoracolumbar fractures,and to improve the individualized and fine-tuned treatment of thoracolumbar fractures.(2)The finite element analysis of a single sample or a small number of samples has the chance,and a larger number of samples are required for the future finite element analysis to reduce the chance caused by the sample.(3)The rigid structure of bones alone cannot meet the biomechanical working conditions of the integrity of the physical object,and future finite element models need to incorporate all the structures of the physical object(e.g.,soft tissues,such as muscles and ligaments)as far as possible.(4)The finite element method has been used in more studies on osteoporotic and traumatic thoracolumbar spine fractures,which will need to be more in-depth in the future,and less in the field of pathologic thoracolumbar fractures,which has a wider scope for future research.