Metabolic associated fatty liver disease （MAFLD） is a common chronic liver disease worldwide， and timely and precise intervention can delay disease progression and significantly reduce the risk of serious complications such as liver fibrosis， liver cirrhosis， and liver cancer. Although traditional liver biopsy combined with metabolic markers is the gold standard， it may cause complications such as pain and bleeding as an invasive examination， which has promoted scientific research to shift its focus to the construction of noninvasive assessment systems. In recent years， noninvasive diagnostic technologies based on multi-dimensional detection strategies have been continuously updated， including serological models， imaging techniques， and clinical algorithms. This article systematically reviews the screening methods for MAFLD during the fibrotic stages F1—F3， especially deep learning models based on artificial intelligence， in order to provide ideas for the early screening of MAFLD， as well as a scientific reference for optimizing disease management strategies.

Objective To construct a database for molecular mass spectra of toxins and drugs in order to facilitate the management and retrieval of mass spectra for nerve agents,metabolites and other small molecules.Methods Requirement analysis and functional design were performed using software engineering methods.The Spec2Vec algorithm was used for vector representation of mass spectra,while SMILES molecular structures were vectorized using the extended connectivity fingerprint(ECFP).A data storage model integrating structured information and vector representations was established using the Milvus database.Similarity search of mass spectra and molecular structures was conducted via vector similarity comparison and the FlashEntropySearch algorithm.Results The constructed database of mass spectra encompassed over 400,000 entries from such sources as OCAD,NIST,MASSBANK,metabolic products,and natural products of TCM,which was capable of searching for similarities in mass spectra and molecular structures.On a standard server,similarity search of mass spectra took no more than 5 seconds,while that of molecular structures took no more than 1 second.Conclusion The system enables efficient management of complex mass spectra and provides rapid retrieval and comparison of mass spectra-related information through advanced vector indexing technology,offering robust data support and research tools for toxicology and pharmacology.

Background::Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer’s disease (AD). This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism.Methods::This retrospective study included 165 patients with AD from the Chinese Imaging, Biomarkers, and Lifestyle (CIBL) cohort between June 1, 2021, and March 31, 2022. Data on demographics, neuropsychological assessments, single-nucleotide polymorphisms of AD risk genes, and regional brain volumes were collected. A multivariate logistic regression model identified BPSD-associated factors, for subsequently constructing a diagnostic nomogram. This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1, 2022, and February 1, 2023. Area under receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess the discrimination, calibration, and clinical applicability of the nomogram.Results::Factors independently associated with BPSD were: CETP rs1800775 (odds ratio [OR] = 4.137, 95% confidence interval [CI]: 1.276-13.415, P = 0.018), decreased Mini Nutritional Assessment score (OR = 0.187, 95% CI: 0.086-0.405, P <0.001), increased caregiver burden inventory score (OR = 8.993, 95% CI: 3.830-21.119, P <0.001), and decreased brain stem volume (OR = 0.006, 95% CI: 0.001-0.191, P = 0.004). These variables were incorporated into the nomogram. The area under the ROC curve was 0.925 (95% CI: 0.884-0.967, P <0.001) in the internal validation and 0.791 (95% CI: 0.686-0.895, P <0.001) in the external validation. The calibration plots showed favorable consistency between the prediction of nomogram and actual observations, and the DCA showed that the model was clinically useful in both validations. Conclusion::A novel nomogram was established and validated based on lipid metabolism-related genes, nutritional status, and brain stem volumes, which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD.Registration::Chictr.org.cn, ChiCTR2100049131.

Objective:To analyze the influencing factors of post stroke cognitive impairment (PSCI) and their correlation with cognitive scores in patients with acute ischemic stroke.Methods:In this cross-section study, 36 patients diagnosed with acute ischemic stroke and post stroke cognitive impairment (PSCI) admitted to the Department of Vascular Neurology of Beijing Tiantian Hospital Affiliated to Capital Medical University from June 1, 2022 to September 30, 2022 were selected as the PSCI group. And one to one matching was performed for patients without PSCI (PSNCI group) with an age±1 year and same gender admitted to the hospital during the same period (as control, 36 cases). Basic clinical data of the two groups were collected, the laboratory and imaging examinations were completed. Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Scale (MoCA) were used for cognitive evaluation by neuropsychologists. Hypothesis testing was used to compare the differences in basic data, laboratory tests and lesion sites between the two groups. Multi-factor conditional logistic regression was performed to analyze the influencing factors of PSCI, and Spearman correlation analysis was carried out to analyze the correlation between influencing factors of PSCI and the cognitive scores.Results:Compared with those in PSNCI group, the proportion of patients with stroke/transient ischemic attack history, hyperhomocysteinemia (HHcy), apolipoprotein E(ApoE) ε4 carriers and the ratio of temporal lobe and thalamus infarction were higher in PSCI group (41.7% vs 13.9%, 36.1% vs 2.8%, 30.6% vs 5.6%, 22.3% vs 2.8%, 25.0% vs 5.6%), the MMSE and MoCA scores were lower in PSCI group [16.50 (8.25, 19.00) vs 28.00 (27.00, 30.00), 10.00 (4.25, 14.50) vs 27.00 (25.00, 28.00)] (all P<0.05). Logistic regression analysis showed that HHcy was a positive correlation factor for PSCI ( OR=2.342, 95% CI=1.186-4.622, P=0.014). Spearman correlation analysis showed that MMSE ( r=-0.415) and MoCA ( r=-0.417) scores were negatively correlated with homocysteine (Hcy) (both P<0.05). Conclusion:HHcy is an important factor affecting the occurrence and development of PSCI in patients with acute ischemic stroke, and Hcy level is negatively correlated with cognitive scores in those patients.

Respiratory diseases are common， frequently-occurring clinical diseases. As the prevalence rate is increasing year by year， they have become a problem that seriously affects public health. The diseases are mainly located in the lung by traditional Chinese medicine （TCM） syndrome differentiation. Lung governs Qi and controls breathing and is also an organ for the storage of phlegm. Clinically， phlegm and Qi are often used for the treatment. Banxia Houputang （BHT）， originated from Synopsis of the Golden Chamber （《金匮要略》）， was used to treat plum-stone Ai （globus hystericus） at first. It is composed of Rhizoma Pinelliae， Cortex Magnoliae Offcinalis， Poria， Rhizoma Zingiberis Recens， and Folium Perillae， and treats diseases with the core pathogensis of mutual obstruction of phlegm and Qi. BHT has the effects of moving Qi， dissipating mass， descending adverse Qi， and resolving phlegm， which basically correspond to the pathological characteristics of the lungs. Clinical studies have confirmed that modified BHT can be used either alone or in combination with western medicine to treat chronic pharyngitis， asthma， chronic obstructive pulmonary disease， pneumonia， obstructive sleep apnea， upper airway cough syndrome and other respiratory diseases， with significant effects. It effectively improves the symptoms and signs of the diseases and reduces the recurrence rate. Basic research has shown that BHT plays anti-inflammatory， anti-oxidative stress， anti-apoptotic， autophagy-regulating， and iron overload-regulating roles by regulating the targets in multiple pathways. This paper， by combing the relevant literature in recent years， conducted a systematic review on BHT from the three aspects of syndrome analysis， clinical treatment research and mechanism research， with a view to providing theoretical basis and reference for the mechanism research of BHT in treating respiratory diseases and for expanding its clinical application.