Objective To identify long non-coding RNA (lncRNA) associated with rheumatoid arthritis-associated interstitial lung disease (RA-ILD) and investigate their mechanisms. Methods Peripheral blood samples were collected from RA-ILD patients (n＝3), RA patients without lung involvement (n＝3), and healthy controls (n＝3). Next-generation sequencing was performed to screen differentially expressed lncRNA. A human fibrotic lung cell model was established by inducing the MRC-5 cell line with transforming growth factor-β (TGF-β). Following siRNA-mediated knockdown of target genes, changes in inflammatory and oxidative stress-related genes were analyzed via real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). Western blotting and dual-luciferase reporter (DLR) assays were used to validate protein expression, ubiquitination levels, and nuclear translocation of oxidative stress regulators, and antioxidant response element (ARE) transcriptional activity. Rescue experiments were conducted to confirm the role of target lncRNA in oxidative stress and inflammation in fibrotic lung cells. Results High-throughput sequencing revealed significant downregulation of LINC00638 in RA-ILD patients. Knockdown of LINC00638 markedly reduced transcriptional levels of interleukin (IL)-4, nuclear factor erythroid-2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1), and superoxide dismutase 2 (SOD2), while increasing IL-6, IL-1β, interferon-γ (IFN-γ), and reactive oxygen species (ROS) levels. Furthermore, LINC00638 knockdown decreased Nrf2 protein expression, increased its ubiquitination, reduced nuclear translocation, and suppressed ARE transcriptional activity. In MRC-5 cells, LINC00638 knockdown combined with N-acetylcysteine treatment restored Nrf2 and HO-1 levels while reducing IL-6 expression. Conclusions LINC00638 suppresses inflammatory responses in RA-ILD by activating the Nrf2/ARE antioxidant signaling pathway, suggesting its potential as a therapeutic target for diagnosis and treatment.

Objective To investigate the characteristics of the relative electroencephalogram(EEG)power spectrum in cerebral in-farction patients with different lesion locations and neurological deficit severities.Methods From February,2024 to May,2025,70 patients with cerebral infarction who completed EEG examinations at Shijiazhuang People's Hospital were enrolled.They were divided into cortical group(n=19)and subcortical group(n=51)based on admission MRI/CT imaging,and divided into mild group(n=53)and moderate-to-se-vere group(n=17)according to the scores of National Institutes of Health Stroke Scale(NIHSS)and Barthel In-dex.All patients underwent 32-channel video-EEG monitoring.The power spectral density of α and θ waves,and the(δ+θ)/(α+β)ratio(DTABR)were analyzed in eight electrodes of F3,F4,P3,P4,T3,T4,O1 and O2.Results DTABR was higher in the cortical group than in the subcortical group across all eight electrodes(|Z|≥2.047,P<0.05),while the relative power decreased in α waves(|Z|≥1.968,P<0.05),and increased in θ waves(|Z|≥1.988,P<0.05)in the cortical group.DTABR was higher in the moderate-to-severe group than in the mild group(|Z|≥2.263,P<0.05).Conclusion Elevated DTABR suggests cortical involvement or more severe neurological impairment,and decreased αwave and increased θ wave activity are primarily observed in patients with cortical lesions,potentially serving as EEG indicators for identifying cortical involvement.

A method that integrates the features of image patches from corneal lesions and conjunctival congestion-like complications is proposed to address the limitations of manual keratitis diagnosis(i.e.,time-consuming,laborious,high subjectivity)and the generally low accuracy of automatic keratitis diagnosis based on original slit-lamp images.Specifically,samples are acquired from the corneal and conjunctival regions.A cost-sensitive convolutional neural network is then used to extract and concatenate the high-level features of these image patches.After dimensionality reduction through principal component analysis,the processed features are input into the fully connected layer for classification.Trained and evaluated on 6414 slit-lamp images collected from Ningbo Eye Hospital,the proposed method achieves accuracies of 97.8%,98.6%,and 97.0%for keratitis,normal cornea,and other abnormal corneas,respectively.This method effectively integrates relevant features and provides a feasible solution for high-accuracy keratitis diagnosis.

Objective To investigate the characteristics of the relative electroencephalogram(EEG)power spectrum in cerebral in-farction patients with different lesion locations and neurological deficit severities.Methods From February,2024 to May,2025,70 patients with cerebral infarction who completed EEG examinations at Shijiazhuang People's Hospital were enrolled.They were divided into cortical group(n=19)and subcortical group(n=51)based on admission MRI/CT imaging,and divided into mild group(n=53)and moderate-to-se-vere group(n=17)according to the scores of National Institutes of Health Stroke Scale(NIHSS)and Barthel In-dex.All patients underwent 32-channel video-EEG monitoring.The power spectral density of α and θ waves,and the(δ+θ)/(α+β)ratio(DTABR)were analyzed in eight electrodes of F3,F4,P3,P4,T3,T4,O1 and O2.Results DTABR was higher in the cortical group than in the subcortical group across all eight electrodes(|Z|≥2.047,P<0.05),while the relative power decreased in α waves(|Z|≥1.968,P<0.05),and increased in θ waves(|Z|≥1.988,P<0.05)in the cortical group.DTABR was higher in the moderate-to-severe group than in the mild group(|Z|≥2.263,P<0.05).Conclusion Elevated DTABR suggests cortical involvement or more severe neurological impairment,and decreased αwave and increased θ wave activity are primarily observed in patients with cortical lesions,potentially serving as EEG indicators for identifying cortical involvement.

Objective:To compare the etiological characteristics between influenza-like illness (ILI) cases in outpatient and emergency departments and those with severe acute respiratory infection (SARI) in Guangdong Province, hoping to provide scientific evidence for the treatment, prevention, and control of respiratory infectious diseases.Methods:Laboratory testing for multiple respiratory pathogens was conducted on 6 090 specimens collected from ILI and SARI cases in Guangdong Province from August to December 2023. Chi-square test was used to analyze the differences in positive rates. Results:The overall positive rate of respiratory pathogens was 49.5% (3 016/6 090). The positive rate was 54.5% (2 260/4 145) in ILI cases and 38.9% (756/1 945) in SARI cases. The overall positive rate was higher in ILI cases than in SARI cases across all genders and age groups, and in most cities of the province, with statistically significant differences ( P<0.05). No significant difference was found in the overall positive rate between different genders. However, the difference between different age groups was statistically significant( P<0.001), with the highest rate identified in children aged 5-14 years (57.2%, 957/1 673). The main pathogens detected in ILI cases were influenza virus, human rhinovirus/enterovirus, and Streptococcus pneumoniae, while in SARI cases they were Mycoplasma pneumoniae, human rhinovirus/enterovirus, and influenza virus. The positive rates of adenovirus, human parainfluenza virus, SARS-CoV-2, human coronavirus, influenza virus, and Streptococcus pneumoniae were significantly higher in ILI cases than in SARI cases, while the positive rate of Mycoplasma pneumoniae was significantly higher in SARI cases ( P<0.05). Moreover, ILI cases were characterized by a higher risk of coinfection compared with SARI cases, especially in males or those aged 25-59 years. Conclusions:There are differences in the detection rates and spectrum of respiratory pathogens between ILI and SARI cases in Guangdong Province. Case features should be considered when developing strategies for preventing and treating respiratory infections.

Objective:To compare the etiological characteristics between influenza-like illness (ILI) cases in outpatient and emergency departments and those with severe acute respiratory infection (SARI) in Guangdong Province, hoping to provide scientific evidence for the treatment, prevention, and control of respiratory infectious diseases.Methods:Laboratory testing for multiple respiratory pathogens was conducted on 6 090 specimens collected from ILI and SARI cases in Guangdong Province from August to December 2023. Chi-square test was used to analyze the differences in positive rates. Results:The overall positive rate of respiratory pathogens was 49.5% (3 016/6 090). The positive rate was 54.5% (2 260/4 145) in ILI cases and 38.9% (756/1 945) in SARI cases. The overall positive rate was higher in ILI cases than in SARI cases across all genders and age groups, and in most cities of the province, with statistically significant differences ( P<0.05). No significant difference was found in the overall positive rate between different genders. However, the difference between different age groups was statistically significant( P<0.001), with the highest rate identified in children aged 5-14 years (57.2%, 957/1 673). The main pathogens detected in ILI cases were influenza virus, human rhinovirus/enterovirus, and Streptococcus pneumoniae, while in SARI cases they were Mycoplasma pneumoniae, human rhinovirus/enterovirus, and influenza virus. The positive rates of adenovirus, human parainfluenza virus, SARS-CoV-2, human coronavirus, influenza virus, and Streptococcus pneumoniae were significantly higher in ILI cases than in SARI cases, while the positive rate of Mycoplasma pneumoniae was significantly higher in SARI cases ( P<0.05). Moreover, ILI cases were characterized by a higher risk of coinfection compared with SARI cases, especially in males or those aged 25-59 years. Conclusions:There are differences in the detection rates and spectrum of respiratory pathogens between ILI and SARI cases in Guangdong Province. Case features should be considered when developing strategies for preventing and treating respiratory infections.

Objective:To investigate the factors influencing sound localization in patients with unilateral sudden sensorineural hearing loss, so as to provide the reference for hearing rehabilitation of patients with unilateral sudden hearing loss.Methods:This study was a cross-sectional study that retrospectively analyzed the clinical data and audiological examination results of 228 patients with unilateral sudden sensorineural hearing loss(103 males and 125 females; aged from 18 to 80 years, with an average age of 46.2 years; 107 cases in the left ear and 121 cases in the right ear; 8 cases of low-frequency decline type, 42 cases of high-frequency decline type, 92 cases of flat decline type, and 86 cases of total deafness type)at the Eye and ENT Hospital of Fudan University from June 2023 to April 2024. The minimum audible angle (MAA) was calculated by the angle discrimination test of 1000 Hz and 4000 Hz warble tones, which were recorded as MAA 1 000 and MAA 4 000 according to the frequency of the given sound stimulus. The root mean square error (RMSE) was calculated by the angle recognition test with daily natural sounds as the stimulus sound. Using SPSS 27.0 statistical software, correlation and multiple regression analysis were used to research the clinical factors affecting the ability of sound localization in patients with unilateral sudden sensorineural hearing loss. Results:The mean MAA 1 000, MAA 4 000, RMSE of patients with unilateral sudden deafness were (53.97±29.14)°, (46.34±28.87)° and (30.06±13.64)°, respectively. Univariate analysis of variance revealed that there were significant differences between different classifications of sudden sensorineural hearing loss for sound localization tests (MAA 1 000: F=6.338, P<0.001,MAA 4 000: F=14.334, P<0.001,RMSE: F=49.918, P<0.001), post-hoc analysis observed that all significant contrasts were included the type of total deafness and low-frequency deafness. Correlation analysis showed the age of subjects in this study was weak positively correlated to the MAA 1 000 ( r=0.165, P=0.013), the duration of sudden sensorineural hearing loss was weak negatively related to RMSE ( r=-0.144, P=0.030), there were significant positive relationships between the threshold of PTA, PTA 1kHz, PTA 4kHz for the affected side, as well as the binaural PTA difference and sound localization test (MAA 1 000,MAA 4 000,RMSE) (all P<0.001). The multiple regression analysis showed the age and the binaural PTA difference for the affected side were the significant factors for the MAA 1 000 and MAA 4 000, the binaural PTA difference was the significant factors for the RMSE. The R 2 of multivariable linear regression model for MAA 1 000, MAA 4 000 and RMSE results in unilateral sudden deafness patients were 0.149, 0.207 and 0.553, respectively. Conclusion:Age, the hearing of the affected side, and binaural PTA difference are the significant factors for sound localization ability in patients with unilateral sudden sensorineural hearing loss, hearing compensation of the affected ear for these patients is hopeful to enhance the sound localization ability.

Objective To analyze the research hotspots and evolution trends in the field of data sharing of primary medi-cal resources in China,and provides theoretical guidance for promoting data sharing of primary medical resources.Methods CiteSpace software was used to search Chinese literature in CNKI,VIP and Wanfang Data from 2015 to 2024,and knowledge graph analysis was carried out on the number of publications,author cooperation,institutional network and keywords.Results A total of 917 literatures meeting the criteria were included.In the time series,the research scale of primary medical resource da-ta sharing showed a trend of first increase and then decrease,and the number of published papers reached a peak of 120 in 2019,which entered a period of adjustment after 2020 due to data security governance issues driven by both policy and technology.The research body formed a multi-team cooperation network,but the participation of young scholars was insufficient.In terms of re-search content,it focuses on the topics of"hierarchical diagnosis and treatment","medical association"and"information plat-form".In the early stage,it focuses on the technical basis,and in recent years,it has turned to the mechanism optimization of"data sharing"and"tight medical community",but the research on privacy protection,regional differences and the application of blockchain technology is still weak.Conclusion The research on medical data sharing at the third level needs to strengthen the collaborative innovation of technology and policy,attach importance to the construction of privacy security and standardization,and promote practice-oriented interdisciplinary exploration.

Objective To analyze the research hotspots and evolution trends in the field of data sharing of primary medi-cal resources in China,and provides theoretical guidance for promoting data sharing of primary medical resources.Methods CiteSpace software was used to search Chinese literature in CNKI,VIP and Wanfang Data from 2015 to 2024,and knowledge graph analysis was carried out on the number of publications,author cooperation,institutional network and keywords.Results A total of 917 literatures meeting the criteria were included.In the time series,the research scale of primary medical resource da-ta sharing showed a trend of first increase and then decrease,and the number of published papers reached a peak of 120 in 2019,which entered a period of adjustment after 2020 due to data security governance issues driven by both policy and technology.The research body formed a multi-team cooperation network,but the participation of young scholars was insufficient.In terms of re-search content,it focuses on the topics of"hierarchical diagnosis and treatment","medical association"and"information plat-form".In the early stage,it focuses on the technical basis,and in recent years,it has turned to the mechanism optimization of"data sharing"and"tight medical community",but the research on privacy protection,regional differences and the application of blockchain technology is still weak.Conclusion The research on medical data sharing at the third level needs to strengthen the collaborative innovation of technology and policy,attach importance to the construction of privacy security and standardization,and promote practice-oriented interdisciplinary exploration.

A method that integrates the features of image patches from corneal lesions and conjunctival congestion-like complications is proposed to address the limitations of manual keratitis diagnosis(i.e.,time-consuming,laborious,high subjectivity)and the generally low accuracy of automatic keratitis diagnosis based on original slit-lamp images.Specifically,samples are acquired from the corneal and conjunctival regions.A cost-sensitive convolutional neural network is then used to extract and concatenate the high-level features of these image patches.After dimensionality reduction through principal component analysis,the processed features are input into the fully connected layer for classification.Trained and evaluated on 6414 slit-lamp images collected from Ningbo Eye Hospital,the proposed method achieves accuracies of 97.8%,98.6%,and 97.0%for keratitis,normal cornea,and other abnormal corneas,respectively.This method effectively integrates relevant features and provides a feasible solution for high-accuracy keratitis diagnosis.