Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

With the advent of an aging society,Alzheimer's disease(AD)has gradually become a major ailment affecting the elderly.AD is a neurodegenerative disorder associated with cognitive impairments.In AD patients,brain network connections are disrupted,and their topological properties are also affected,leading to the disintegration of anatomical and functional connections.Anatomical connections can be tracked and evaluated using structural magnetic imaging(MRI)and diffusion tensor imaging(DTI),while functional connections are detected through functional MRI to assess their connectivity status.This review incorporates the findings of previous scholars and summarizes the current research of AD.It mainly discusses the imaging characteristics of large-scale brain network changes in AD patients,so as to provide researchers with scientific and objective imaging markers for AD prediction and early diagnosis,as well as future research.

Clinicians need to focus on various points in the diagnosis and treatment of insomnia.This article prescribed the treatment protocol based on the unique features,such as insomnia in the elderly,women experiencing specific physiologi-cal periods,children insomnia,insomnia in sleep-breathing disorder patients,insomnia in patients with chronic liver and kidney dysfunction.It pro-vides some reference for clinicians while they make decision on diagnosis,differentiation and treat-ment methods.

Objective:To investigate the effect of inhibitory activity of high mobility group protein B1 (HMGB1), signal transduction and activator of transcription 3 (STAT3) on myocardial ischemia-reperfusion injury in rats.Methods:In vivo and in vitro models of MIRI were established. SD rats were randomly divided into a sham group, a model group, a glycyrrhizic acid group, and a NSC74859 group, with 6 rats in each group. Rats in the sham group were not ligation, and rats in the sham group and model group were not given medication. The rats in the glycyrrhizic acid group and the NSC74859 group were injected with HMGB1 antagonist glycyrrhizic acid or STAT3 inhibitor NSC74859 5 mg/kg in the tail vein at 12 h 30 min before ischemia/reperfusion and 30 min after ischemia, respectively. Left ventricular shortening fraction (FS) and left ventricular ejection fraction (EF) were evaluated by echocardiography, and apoptosis of cardiomyocytes was evaluated by hematoxylin-eosin (HE) and TUNEL staining. The expression levels of HMGB1, STAT3, and phosphorylated STAT3 (p-STAT3) were detected by real-time fluorescence quantitative PCR and Western Blot. The viability of H9C2 cells was determined by the MTS assay, intracellular ATP content was determined, and the mitochondrial membrane potential of H9C2 cells was measured by flow cytometry to evaluate the survival of cardiomyocytes. The action mode of HMGB1/STAT3 was studied by the immunoprecipitation method. The expression and migration of HMGB1/STAT3 in the nucleus and cytoplasm were detected by immunostaining. Results:After inhibiting the expression of HMGB1 or STAT3, EF and FS were increased, and immune infiltration and apoptosis of cardiomyocytes were decreased. Inhibition of HMGB1 expression could decrease the expression of STAT3, but inhibition of STAT3 expression didn’t affect the expression of HMGB1. Hypoxia could lead to increased expression of HMGB1 and p-STAT3, and decreased expression of STAT3. After 8 hours of hypoxia, the expression level of STAT3 suddenly increased. After reoxygenation, the expression of HMGB1 and STAT3 decreased, and the expression of p-STAT3 increased, but p-STAT3 (Ser 727) didn’t participate in this process. After ischemia-reperfusion injury, HMGB1 and STAT3 binded firmly in cardiomyocytes, but inhibition of STAT3 or HMGB1 weakened this binding. Inhibition of HMGB1 or STAT3 expression could reduce myocardial ischemia-reperfusion injury. The expression of HMGB1 in reoxygenated cardiomyocytes increased after hypoxia, and HMGB1 migrated from the nucleus to the cytoplasm.Conclusions:Inhibiting the activity of the HMGB1/STAT3 axis effectively reduces MIRI in rats.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

OBJECTIVES: To investigate the clinical efficacy and safety of salbutamol in the treatment of children with later-onset spinal muscular atrophy (SMA). METHODS: This study is a prospective single-arm phase Ⅲ clinical study. Pediatric patients with SMA type Ⅱ and Ⅲ who visited Department of Neurology, Children's Hospital, Zhejiang University School of Medicine from December 2020 to June 2022 were enrolled. All patients were evaluated with motor function scales, pulmonary function test and drug safety before study. Patients were treated with salbutamol tablets orally, with an initial dose of 1 mg (tid). If tolerable, the dose was increased to 1.5 mg (tid) in the second week, then increased to 2 mg (tid) from the third week and maintained for 6 months. Patients were followed up at 1, 3 and 6 months of treatment. RESULTS: Twenty-six patients were enrolled, including 10 boys and 16 girls. There were 16 cases of SMA type Ⅱ and 10 cases of type Ⅲ with age at treatment initiation of 5.67 (3.13, 7.02) years and disease duration of 2.54 (1.31, 4.71) years. The Hammersmith Functional Motor Scale-Expanded (HFMSE) scores were increased from 14.0 (6.5, 43.0) before treatment to 26.0 (15.0, 46.5) after treatment (Z=－4.144, P<0.01) in 25 cases. The Revised Upper Limb Module Scale scores were increased from 33.0 (25.5, 36.0) before treatment to 35.0 (31.0, 36.5) after treatment (Z=－2.214, P<0.05) in 9 cases. In 7 ambulant children with SMA type Ⅲ, the six minutes walking distance was increased by 30 (15, 52) m after a 6-month treatment (Z=－2.366, P<0.05). Compared with the baseline pulmonary functions the patients showed a significant increase in forced vital capacity (FVC), forced expiratory volume in one second (FEV₁), and peak expiratory flow (PEF) in 15 cases after treatment (all P<0.05). According to patients and caregivers subjective reporting, there were various degrees of improvement in coughing, sputum production ability and exercise endurance. No serious adverse events were observed during the study. CONCLUSIONS Short-term oral administration of salbutamol may improve motor and pulmonary functions in later-onset SMA children with good safety.
Male ; Female ; Humans ; Child ; Albuterol/therapeutic use* ; Prospective Studies ; Muscular Atrophy, Spinal/drug therapy* ; Spinal Muscular Atrophies of Childhood/drug therapy* ; Treatment Outcome

Clinical data from 11 previously diagnosed and treated patients with hyperthyroidism(Graves′ disease) complicated by liver failure were collected. Among them, 4 cases were drug-induced liver injury leading to liver failure, 1 case had a history of schistosomal liver cirrhosis combined with hyperthyroidism, and 6 cases had hyperthyroidism-induced liver injury(HILI) leading to liver failure. During hospitalization, all patients received supportive therapy and symptomatic treatment with β-blockers. Nine patients were treated with glucocorticoids and artificial liver support therapy. Among the 11 patients, 2 died, 8 patients achieved normal thyroid and liver function within 1-12 months after treatment, and 1 patient with liver cirrhosis had stable liver function in the later stage. After improvement in liver function, 7 patients received isotope therapy, 1 patient underwent total thyroidectomy, and 1 patient received medication. These results indicate that the clinical characteristics differ for drug-induced liver injury and HILI-related liver failure. Early initiation of artificial liver support therapy, in addition to β-blockers and glucocorticoids, is important in alleviating thyroid toxicity and liver damage, thus creating an opportunity for subsequent radioactive iodine or surgical treatment.

Objective:To analyze the characteristics of lung function in patients with spinal muscular atrophy (SMA) to provide evidence for multidisciplinary management of SMA.Methods:A total of 30 patients with SMA treated in the SMA multidisciplinary clinic of the Children′s Hospital, Zhejiang University School of Medicine from July 2019 to March 2021 were enrolled, including 1 child with type I, 18 patients with type Ⅱ and 11 children with type Ⅲ.There were 17 males and 13 females; the age ranged from 4 years to 21 years and 10 months old.A retrospective study was conducted to analyze the clinical features, spinal imaging findings and lung functions of patients with different clinical types of SMA and explore the factors influencing the lung functions of patients with SMA.Pulmonary function was measured by forced expiratory flow-volume curve.Forced vital capacity (FVC), forced expiratory volume in one second (FEV 1), FEV 1/FVC and peak expiratory flow (PEF) were measured.The results were expressed as the percentage of the measured value to predicted value.The Cobb angle was measured to evaluate scoliosis. Pearson correlation analysis and multiple linear regression analysis were used to evaluate the relationship between lung function and age and Cobb angle in patients with type Ⅱ SMA. Pearson correlation analysis and univariate linear regression analysis were used to evaluate the relationship between Cobb angle and age in patients with type Ⅱ SMA. Results:Pulmonary function in 1 type I patient showed decreased FVC and FEV 1; Among 18 patients with type Ⅱ, 14 cases had abnormal lung function (77.8%): FVC decreased in 12 patients (66.7%), FEV 1 decreased in 10 patients (55.6%), PEF decreased in 12 patients (66.7%). Among 11 patients with type Ⅲ, one had decreased FVC (9.1%). FVC, FEV 1 and PEF of patients with type Ⅱ were significantly lower than those of patients with type Ⅲ [(62.4±31.8)% vs.(90.8±11.0)%, (66.3±33.3)% vs.(97.8±9.9)%, (65.3±30.1)% vs.(98.6±21.1)%, all P<0.01]. Pearson correlation analysis showed that FVC of patients with type Ⅱ SMA was correlated with age and Cobb angle ( r=-0.864, -0.865, all P<0.001), FEV 1 was correlated with age and Cobb angle ( r=-0.878, -0.863, all P<0.001), PEF was correlated with age and Cobb angle ( r=-0.831, -0.783, all P<0.001), and Cobb angle was related to age ( r=0.922, P<0.001). Multiple linear regression analysis indicated that FVC of patients with type Ⅱ SMA was linearly correlated with Cobb angle ( R2=0.748, P<0.001), FEV 1 was linearly correlated with age ( R2=0.770, P<0.001), PEF was linearly related to age ( R2=0.690, P<0.001). Univariate linear regression analysis revealed that Cobb angle of patients with type Ⅱ SMA was linearly related to age ( R2=0.851, P<0.001). Conclusions:FVC, FEV 1 and PEF may decrease in patients with SMA.The degree of lung function damage is different in different types of SMA patients.With the increase of age, Cobb angle increases and FVC, FEV 1 and PEF decrease in patients with type Ⅱ SMA.Understanding the factors influencing the pulmonary function damage in patients with SMA is conductive to carrying out individual multidisciplinary management.

OBJECTIVES: The high morbidity and mortality of colorectal cancer (CRC) have posed great threats to human health. Circular RNA (circRNA) and microRNA (miRNA), acting as competing endogenous RNAs (ceRNAs), have been found to play vital roles in carcinogenesis. This paper aims to construct a circRNA/miRNA/mRNA regulatory network so as to explore the molecular mechanism of CRC. METHODS: The sequencing data of circRNA from CRC were obtained from Gene Expression Omnibus (GEO). The differential circRNA was screened and its structure was identified by Cancer-specific CircRNA Database (CSCD); the sequencing data of miRNA and messenger RNA (mRNAs) were downloaded from The Cancer Genome Atlas (TCGA) database and the differentially expressed genes were screened; the corresponding miRNA of differential circRNAs were predicted by CircInteractome database; DIANA, Miranda, PicTar, and TargetScan databases were used to predict the target genes of different miRNAs; the target genes from Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were enriched by R language; String database combined with Cytoscape 3.7.2 software was used to construct protein-protein interaction (PPI) network and hub genes were screened; the expressions of mRNAs in the Top10 hub genes were verified in CRC. The network diagrams of circRNAs/miRNAs/mRNAs and circRNAs/miRNAs/Top10 hub mRNAs were constructed by Cytoscape3.7.2. Real-time PCR was used to examine the expression levels of hsa_circRNA_0065173, hsa-mir-450b, hsa-mir-582, adenylate cyclase 5 (ADCY5), muscarinic acetylcholine receptor M2 (CHRM2), cannabinoid receptor 1 (CNR1), and lysophosphatidic acid receptor 1 (LPAR1) in the CRC tissues and the adjacent normal tissues. RESULTS: A total of 14 differential circRNAs were identified, and 8 were found in CSCD; 34 miRNAs targeted by circRNAs were obtained. The PPI network was constructed, and the Top10 hub genes were identified, which were CHRM2, melanin concentrating hormone receptor 2 (MCHR2), G-protein gamma 3 subunit (GNG3), neuropeptide Y receptor Y1 (NPY1R), CNR1, LPAR1, ADCY5, adenylate cyclase 2 (ADCY2), gamma 7 (GNG7) and chemokine 12 (CXCL12), respectively. The expressions of Top 10 hub genes were also verified, and the results showed that the Top 10 hub genes were down-regulated in CRC; the constructed network diagram showed that hsa_circRNA_0065173 may regulate ADCY5, CHRM2, and Hsa-mir-450b by modulating hsa-mir-450b and hsa-mir-582. CNR1 and LPAR1 genes might serve as potentially relevant targets for the treatment of CRC. Real-time PCR results showed that the expression levels of hsa_circRNA_0065173, ADCY5, CHRM2, CNR1 and LPAR1 in the CRC tissues were significantly reduced compared with the adjacent normal tissues (all P<0.05); the expression levels of hsa-mir-450b and hsa-miR-582 were significantly increased (both P<0.05). CONCLUSIONS In this study, a potential circRNAs/miRNAs/mRNAs network is successfully constructed, which provides a new insight for CRC development mechanism through ceRNA mediated by circRNAs.
Colorectal Neoplasms/genetics* ; Computational Biology/methods* ; Gene Regulatory Networks ; Humans ; MicroRNAs/genetics* ; RNA, Circular/genetics* ; RNA, Messenger/genetics*