Objective To investigate the influencing factors of pulmonary and extrapulmonary acute re-spiratory distress syndrome(ARDS)caused by sepsis.Methods A total of 126 patients with ARDS admitted to the Department of Critical Care Medicine,General Hospital of Ningxia Medical University,from January 2022 to June 2024 were selected.Patients were divided into pulmonary ARDS and extrapulmonary ARDS groups based on the etiology of ARDS.General data,inflammatory indicators,and prognostic outcomes were compared between the two groups.COX regression analysis was used to identify prognostic factors.Results A-mong the 126 patients,72 were diagnosed with pulmonary ARDS and 54 with extrapulmonary ARDS.The pulmonary ARDS group had significantly lower SOFA scores,fewer organ dysfunctions,a lower incidence of arrhythmia,shorter mechanical ventilation duration,higher Murray scores,and higher Charlson Comorbidity Index(CCI)compared to the extrapulmonary ARDS group(P<0.05).Inflammatory markers,including pro-calcitonin(PCT),C-reactive protein(CRP),interleukin(IL)-4,IL-6,IL-10,and tumor necrosis factor-α(TNF-α),were significantly lower in the pulmonary ARDS group,while interferon-γ(INF-γ)levels were higher(P<0.05).For pulmonary ARDS,CCI and TNF-α were identified as independent risk factors for prog-nosis(P<0.05),with the combination of CCI and TNF-α yielding the highest predictive accuracy(AUC=0.81,95%CI:0.71-0.91).For extrapulmonary ARDS,CCI and CRP were independent risk factors(P<0.05),and their combination achieved the highest predictive performance(AUC=0.91,95%CI:0.84-0.98).Conclusion Inflammatory profiles between pulmonary and extrapulmonary ARDS caused by sepsis are different.CCI and TNF-α are independent risk factors for mortality in pulmonary ARDS,while CCI and CRP are independent risk factors in extrapulmonary ARDS.

Objective:To explore the relationship between general demographic characteristics,inflammatory indicators,nutritional indicators,pathological data and lymph node metastasis in endometrial cancer(EC)pa-tients,and to construct and validate a model for preoperative prediction of lymph node status in endometrial canc-er patients.Methods:The preoperative clinical data of 473 patients with EC who underwent surgical treatment in the Zhu Jiang Hospital of Southern Medical University from January 2010 to April 2024 were retrospectively ana-lyzed.The independent risk factors of lymph node metastasis of endometrial cancer were screened by univariate and multivariate Logistic regression analyses,and the nomogram prediction model was constructed by R soft-ware.The performance of the model was evaluated by the receiver operating characteristic(ROC)curve,calibra-tion curve and clinical decision curve.Results:Menopausal status,high grade biopsy pathology,CA125 ≥24.47U/ml,systemic immune inflammatory index(SII)≥710.91,and prognostic nutritional index(PNI)＜52.90 were in-dependent risk factors for lymph node metastasis in endometrial cancer(OR＞1,P＜0.05).The nomogram model constructed based on these five factors had an AUC of 0.853 in the training set and 0.871 in the test set.The cali-bration curve fitted well,and the clinical decision curve shows a positive benefit.Conclusions:The endometrial cancer lymph node metastasis prediction model constructed based on menopausal status,biopsy pathology,CA125,SII,and PNI has good accuracy and fit,with certain clinical application value.

Objective To explore differentially expressed proteins in the serum exosomes of acute myeloid leukemia(AML)patients and healthy controls by using the proteomics method,and provide new biomarker for the diagnosis and treatment of AML.Methods A total of 76 AML patients diagnosed and treated in the First People's Hospital of Honghe State from November 2022 to June 2024 were selected as the experimental group,and 60 healthy physical examination participants were selected as the control group.Tandem Mass Tag(TMT)labeled proteomics was used to identify the differences in protein expression in serum exosomes between the experimental and control groups,and the identified differentially expressed proteins were subjected to bioinformatics analysis.Western-Blot was used to verify the differentially expressed proteins.Results Comparedwith healthy controls,146 aberrantly expressed proteinswere detected in serum exosomes of AML patients,of which 89 were up-regulated and 57 were down-regulated.Among them,Alpha-1-antichymotrypsin(α1-ACT),Angiogenin(ANG),Vitronectin(VIT),Clusterin(Clu),Fibronectin(FN),Keratin type I cytoskeletal-18(KRT18),and actinin alpha4(ACTN4)showed changed significantly.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)enrichment analysis indicated that differentially expresseproteins were involved in biological processes such as neutrophil immunity,neutrophil degranulation,neutrophil activation immune response,and protein activation cascade,significantly enriched in 25 biological pathways including complement and coagulation cascades,extracellular matrix(ECM)-receptor interaction,and hypoxia-inducible factor-1(HIF-1)signaling pathways.Western-blot validation results showed that compared with the control group,the expression levels of ANG,Clu and FN in the serum exosomes of AML patients were significantly increased,while the expression level of ACTN4 was significantly decreased,with statistically significant differences(t=-11.854～18.569,all P<0.05).The expression levels of ANG and FN were correlated with white blood cell count(F=8.888,7.818,all P<0.05)and cytogenetics(F=8.619,7.983,P<0.05).The expression level of Clu protein was correlated with white blood cell count(F=2.571,P<0.05),but not significantly associated with cytogenetics(F=1.886,P>0.05).ANG,FN and Clu showed no significant correlation with FAB classification(F=0.175,0.434,0.042,all P>0.05).Conclusion The expression of exosomal proteins in the serum of AML patients compared to healthy individuals are significant differences,which may serve as serological markers for the diagnosis and treatment of AML.

Adverse drug reactions (ADRs) significantly impact clinical medication safety. The timely identification and prediction of ADRs rely on the efficient analysis of real-world data, such as electronic health records, social media, and spontaneous reporting databases. In recent years, the rapid advancement of artificial intelligence, particularly large language models, in natural language processing, causal reasoning, and complex data mining has provided new technological means for real-time ADRs monitoring and individualized prediction. This paper summarizes the latest research achievements in AI-driven ADRs monitoring. Focusing on diverse data sources, including structured databases and electronic health records, it elaborates on the advantages andchallenges of AI in ADRs event extraction, relationship identification, causal analysis, and risk prediction. The aim is to provide a theoretical reference for constructing more intelligent and efficient ADRs monitoring systems.

Objective:To explore the relationship between general demographic characteristics,inflammatory indicators,nutritional indicators,pathological data and lymph node metastasis in endometrial cancer(EC)pa-tients,and to construct and validate a model for preoperative prediction of lymph node status in endometrial canc-er patients.Methods:The preoperative clinical data of 473 patients with EC who underwent surgical treatment in the Zhu Jiang Hospital of Southern Medical University from January 2010 to April 2024 were retrospectively ana-lyzed.The independent risk factors of lymph node metastasis of endometrial cancer were screened by univariate and multivariate Logistic regression analyses,and the nomogram prediction model was constructed by R soft-ware.The performance of the model was evaluated by the receiver operating characteristic(ROC)curve,calibra-tion curve and clinical decision curve.Results:Menopausal status,high grade biopsy pathology,CA125 ≥24.47U/ml,systemic immune inflammatory index(SII)≥710.91,and prognostic nutritional index(PNI)＜52.90 were in-dependent risk factors for lymph node metastasis in endometrial cancer(OR＞1,P＜0.05).The nomogram model constructed based on these five factors had an AUC of 0.853 in the training set and 0.871 in the test set.The cali-bration curve fitted well,and the clinical decision curve shows a positive benefit.Conclusions:The endometrial cancer lymph node metastasis prediction model constructed based on menopausal status,biopsy pathology,CA125,SII,and PNI has good accuracy and fit,with certain clinical application value.

As a major global public health concern,cancer has witnessed a continues rise in both incidence and mortality rates.It pose not only a severe threat to human health but also a heavy burden on socioeconomic systems.Despite remarkable advancements in oncology research,critical challenges such as tumor heterogeneity,drug resistance,and limitations in early screening and diagnostic technologies remain to be addressed.Against this backdrop,artificial intelligence(AI),with its unique advantages in big data analysis,pattern recognition,and predictive modeling,has opened new avenues for cancer research.By integrating multi-modal data,including omics,imaging,and clinical information,AI not only accelerates investigations into fundamental tumor mechanisms but also demonstrates immense potential in areas such as early screening,biomarker discovery,and personalized treatment.These advancements have fostered a deeper integration of precision medicine and oncology.This review provides a comprehensive overview of the most recent progresses in the application of AI in cancer diagnosis and treatment research,with a focus on its practical value across diverse data types and clinical scenarios,as well as future directions for its development.

Objective To investigate the attention characteristics of patients with stable schizophrenia.Methods Fifty-five stable schizophrenic patients and 55 healthy subjects were included in the study.The attention network test paradigm(ANT paradigm)was used to measure the attention of participants.The observed indexes included reaction time under four cues and three stimulus types and converted reaction time(alerting network,orienting network,and executive control network).Results Under different cue prompts and stimulus conditions,the reaction time of patients with stable-phase schizophrenia was higher than that of the control group(P<0.001).The alerting network[25.43(11.71,42.53)ms vs.39.32(27.46,51.98)ms,P=0.020]and executive control network[96.17(36.32,160.13)ms vs.44.43(18.52,89.73)ms,P<0.001]in the patient group were significantly lower than those in the control group,while there was no significant difference in the orienting network compared to the control group(P=0.136).Conclusion Patients with stable schizophrenia show significant impairment in the efficiency of the alerting and executive control networks,while the orienting network is not significantly impaired.

Objective:To investigate the clinical phenotype and genetic etiology of a patient with tall stature and primary amenorrhea presenting with 47, XYY Disorder of sex development (DSD).Methods:A female patient presenting with " tall stature and primary amenorrhea" at Nanjing Drum Tower Hospital in July 2024 was selected as the study subject. A retrospective study design was employed to collect the patient′s clinical data. Peripheral venous blood sample was collected. Following the extraction of genomic DNA, genetic testing was performed including chromosomal karyotyping analysis, copy number variation sequencing (CNV-seq), multiplex PCR for the AZF regions and sex-determining genes Y ( SRY), and whole-exome sequencing (WES). Candidate variants were validated by Sanger sequencing and classified for pathogenicity based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Nanjing Drum Tower Hospital (Ethics No.: 2022-451-01). Results:The patient had a height of 188 cm and a body weight of 50 kg, in addition with infantile uterus, absent ovaries, and primary amenorrhea. G-banded karyotyping analysis of peripheral blood sample revealed 47, XYY. CNV-seq indicated Seq[GRCh37]Yp11.32q12×2. No deletion was detected in the AZF regions of Y chromosome, and SRY was positive. WES identified a heterozygous c. 86C>A (p.Thr29Lys) variant of the NR5A1 gene, leading to substitution of threonine with lysine at position 29 of the encoded protein. Sanger sequencing confirmed the presence of the variant. According to the ACMG guidelines, this variant was classified as variant of uncertain significance (VUS) with supporting evidence (PS3_Moderate+ PM5+ PP3+ PM2_Supporting+ PS4_Supporting). Reviewing the nearly 60 years of previously reported cases, all 7 documented 47, XYY DSD patients were assigned a female social gender and presented with abnormal gonadal and external genitalia development. Among them, 5 cases underwent SRY testing, all of which were positive. Only 1 case underwent whole-exome sequencing (WES), but no pathogenic or likely pathogenic variants were identified. Conclusion:This DSD patient presented with the clinical features of tall stature and primary amenorrhea. The NR5A1 gene variant c. 86C>A (p.Thr29Lys) probably underlay the disorder of sex development in this patient. Above finding has enriched the spectrum of pathogenic variants of the NR5A1 gene.

OBJECTIVE: To investigate the clinical phenotype and genetic etiology of a patient with tall stature and primary amenorrhea presenting with 47,XYY Disorder of sex development (DSD). METHODS: A female patient presenting with "tall stature and primary amenorrhea" at Nanjing Drum Tower Hospital in July 2024 was selected as the study subject. A retrospective study design was employed to collect the patient's clinical data. Peripheral venous blood sample was collected. Following the extraction of genomic DNA, genetic testing was performed including chromosomal karyotyping analysis, copy number variation sequencing (CNV-seq), multiplex PCR for the AZF regions and sex-determining genes Y (SRY), and whole-exome sequencing (WES). Candidate variants were validated by Sanger sequencing and classified for pathogenicity based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Nanjing Drum Tower Hospital (Ethics No.: 2022-451-01). RESULTS: The patient had a height of 188 cm and a body weight of 50 kg, in addition with infantile uterus, absent ovaries, and primary amenorrhea. G-banded karyotyping analysis of peripheral blood sample revealed 47,XYY. CNV-seq indicated Seq[GRCh37]Yp11.32q12×2. No deletion was detected in the AZF regions of Y chromosome, and SRY was positive. WES identified a heterozygous c.86C>A (p.Thr29Lys) variant of the NR5A1 gene, leading to substitution of threonine with lysine at position 29 of the encoded protein. Sanger sequencing confirmed the presence of the variant. According to the ACMG guidelines, this variant was classified as variant of uncertain significance (VUS) with supporting evidence (PS3_Moderate+PM5+PP3+PM2_Supporting+PS4_Supporting). Reviewing the nearly 60 years of previously reported cases, all 7 documented 47,XYY DSD patients were assigned a female social gender and presented with abnormal gonadal and external genitalia development. Among them, 5 cases underwent SRY testing, all of which were positive. Only 1 case underwent whole-exome sequencing (WES), but no pathogenic or likely pathogenic variants were identified. CONCLUSION This DSD patient presented with the clinical features of tall stature and primary amenorrhea. The NR5A1 gene variant c.86C>A (p.Thr29Lys) probably underlay the Disorder of sex development in this patient. Above finding has enriched the spectrum of pathogenic variants of the NR5A1 gene.
Humans ; Female ; Steroidogenic Factor 1/genetics* ; DNA Copy Number Variations/genetics* ; XYY Karyotype/genetics* ; Karyotyping ; Retrospective Studies ; Phenotype ; Sex Chromosome Disorders of Sex Development/genetics* ; Sex Chromosome Disorders