Objective To investigate differential patterns of oxygenated hemoglobin concentration in prefron-tal cortical regions between major depressive disorder patients with or without psychotic symptoms during verbal flu-ency task(VFT)performance using functional near-infrared spectroscopy(fNIRS).Methods A total of 108 pa-tients with major depression who were hospitalized in the psychiatric department of the hospital from July 2023 to April 2024 were selected as the study objects.They were divided into two groups(n=60)with or without psychotic symptoms(n=48).fNIRS devices were used to measure and compare the changes in the relative concentration of cerebral hemoglobin in 52 brain channels between the two groups during VFT.Re-sults Compared with the unaccompanied group,the relative concentration of cerebral oxygenated hemoglobin in channel 13 was higher(0.003±0.001 vs.0.002±0.001),and the relative concentration of cerebral oxygen-ated hemoglobin in channel 33 was lower(0.003±0.001 vs.0.007±0.002),the difference was statistically significant(P＜0.05).There was no significant difference in the relative concentration of oxygenated hemo-globin in other brain areas between the two groups(P＞0.05).Conclusion There are abnormal oxygen activ-ity in brain functional areas associated with psychotic symptoms,and fNIRS technique is helpful for early as-sessment of cerebral aerobic function in depressed patients with psychotic symptoms.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective:To summarize and analyze the clinical characteristics of systemic lupus erythematosus (SLE) combined with ischaemic stroke and the factors associated with poor prognosis.Methods:A total of 50 patients with SLE combined with ischaemic stroke in the First Affiliated Hospital of Xi′an Jiaotong University from January 2014 to June 2024 were included in the study, the clinical data of the patients were retrospectively collected and summarized, the Shapiro-Wilk test was used to assess the normality of data, and the factors related to poor prognosis were analyzed by logistic regression analyses.Results:Fifty patients with SLE combined with ischaemic stroke had a mean age of (47.1±15.5)years, 80.0%(40/50) were female, the duration of SLE was (5.6±6.3)years, the mean SLEDAI-2K score was (14.3±4.1), the rate of anticardiolipin antibody positivity was 30.0%(15/50), and the rate of β 2-glycoprotein Ⅰ antibody positivity was 28.0%(14/50). The most common clinical manifestations of stroke were impaired limb movement (34.0%) (17/50), cerebral infarction mainly in the cerebral hemisphere (82.0%)(41/50), combined with cerebral haemorrhage in 6.0%(3/50), cerebral leukoencephalopathy in 26.0%(13/50), and cerebral atrophy in 24.0%(12/50). In terms of treatment, the most used immunosuppressant was cyclophosphamide (34.0%, 17/50), 64.0%(32/50) of patients received aspirin, 32.0%(16/50) received clopidogrel and 14.0%(7/50) received anticoagulation. Four deaths and 12 cases of severe disability were found in 50 patients at follow-up, and SLEDAI-2000 scores were positively correlated with the above poor prognosis using univariate [ OR(95% CI)=1.407(1.123,1.764), P=0.003] and multivariate [ OR(95% CI)=1.388(1.097, 1.756), P=0.006] regression analyses. Conclusion:Patients with SLE combined with ischaemic stroke had high disease activity in SLE, and SLEDAI-2000 scores were positively associated with poor prognosis of death and severe disability.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective:To summarize and analyze the clinical characteristics of systemic lupus erythematosus (SLE) combined with ischaemic stroke and the factors associated with poor prognosis.Methods:A total of 50 patients with SLE combined with ischaemic stroke in the First Affiliated Hospital of Xi′an Jiaotong University from January 2014 to June 2024 were included in the study, the clinical data of the patients were retrospectively collected and summarized, the Shapiro-Wilk test was used to assess the normality of data, and the factors related to poor prognosis were analyzed by logistic regression analyses.Results:Fifty patients with SLE combined with ischaemic stroke had a mean age of (47.1±15.5)years, 80.0%(40/50) were female, the duration of SLE was (5.6±6.3)years, the mean SLEDAI-2K score was (14.3±4.1), the rate of anticardiolipin antibody positivity was 30.0%(15/50), and the rate of β 2-glycoprotein Ⅰ antibody positivity was 28.0%(14/50). The most common clinical manifestations of stroke were impaired limb movement (34.0%) (17/50), cerebral infarction mainly in the cerebral hemisphere (82.0%)(41/50), combined with cerebral haemorrhage in 6.0%(3/50), cerebral leukoencephalopathy in 26.0%(13/50), and cerebral atrophy in 24.0%(12/50). In terms of treatment, the most used immunosuppressant was cyclophosphamide (34.0%, 17/50), 64.0%(32/50) of patients received aspirin, 32.0%(16/50) received clopidogrel and 14.0%(7/50) received anticoagulation. Four deaths and 12 cases of severe disability were found in 50 patients at follow-up, and SLEDAI-2000 scores were positively correlated with the above poor prognosis using univariate [ OR(95% CI)=1.407(1.123,1.764), P=0.003] and multivariate [ OR(95% CI)=1.388(1.097, 1.756), P=0.006] regression analyses. Conclusion:Patients with SLE combined with ischaemic stroke had high disease activity in SLE, and SLEDAI-2000 scores were positively associated with poor prognosis of death and severe disability.

Conventional 1.5T and 3.0T cardiac MRI(CMRI)had been widely used.The ultrahigh field MR behaved better in image resolution and signal-to-noise ratio.The domestic 5.0T whole-body ultrahigh field MRI had better balance between the field strength and quality in CMRI,which was expected to improve imaging quality and efficiency.The status challenges and future of 5.0T CMRI were reviewed in this paper.

Objective To investigate the progress of two-dimensional echocardiographic parameters in patients with different severity of aortic stenosis.Methods A retrospective analysis was per-formed on 96 patients diagnosed with aortic stenosis with at least 2 times of transthoracic echo-cardiography(interval ≥1 year)in Department of Cardiology,Fourth Medical Center of Chinese PLA General Hospital from March 2017 to December 2023.According to aortic stenosis severity,they were divided into a mild group(72 cases),a moderate group(14 cases)and a severe group(10 cases).Peak pressure gradient(PPG)across aortic valve,Vmax,mean aortic valve pressure gradient(ΔPm),pulmonary artery systolic pressure(PASP)were collected,and the changes and annual progress of these echocardiographic parameters at baseline and before and after follow-up were analyzed.Results The values of IVST,LVPWT,Vmax,aortic valve PPG and ΔPm were sig-nificantly increased in the mild,moderate and severe stenosis groups in turn(P＜0.05,P＜0.01).The values of Vmax,PPG and ΔPm were significantly lower in the mild stenosis group than the moderate and severe stenosis groups,and the LVPWT value was obviously lower in the mild ste-nosis group than the severe stenosis group(P＜0.05).The aortic valve PPG and ΔPm values at follow-up were significantly higher than those before the follow-up in the three stenosis groups(P＜0.05,P＜0.01).After follow-up,the Vmax values in mild and moderate stenosis groups were notably higher than before(P＜0.01).The PASP value at follow-up was significantly higher than before in the severe stenosis group(P＜0.05).The annual progression rate of Vmax,PASP,LVEF were gradually increased in the mild,moderate,and severe stenosis groups(P＞0.05).The annual progression rate of ΔPm was gradually increased in the three groups in turn(2.30±1.77 mm Hg/year vs 2.40±1.18 mm Hg/year vs 6.08±1.70 mm Hg/year,P＜0.05).Conclusion As the severity of baseline aortic stenosis increases,obvious changes are observed in cardiac structure and function.Before and after follow-up,the serious the aortic stenosis severity is,the faster the annual progression rates of Vmax,PPG,LVEF and PASP are.

Objective To investigate the relationship of miRNA gene polymorphisms with blood pressure(BP)responses to the sodium and potassium diet intervention.Methods In 2004,we recruited 514 participants from 124 families in seven villages of Baoji,Shaanxi Province,China.All subjects were given a three-day normal diet,followed by a seven-day low-salt diet,a seven-day high-salt diet,and finally a seven-day high-salt and potassium supplementation.A total of 19 miRNA single nucleotide polymorphisms(SNPs)were selected for analysis.Results Throughout the sodium-potassium dietary intervention,the BP of the subjects fluctuated across all phases,showing a decrease during the low-salt period and an increase during the high-salt period,followed by a reduction in BP subsequent to potassium supplementation during the high-salt diet.MiR-210-3p SNP rs 12364149 was significantly associated with systolic BP(SBP),diastolic BP(DBP)and mean arterial pressure(MAP)responses to low-salt diet.MiR-4638-3p SNP rs6601178 was significantly associated with SBP while miR-26b-3p SNP rs115254818 was significantly associated with MAP responses to low-salt intervention.In addition,miR-26b-3p SNP rs115254818 was significantly correlated with SBP,DBP and MAP responses to high-salt intervention.MiR-1307-5p SNPs rs1 1191676 and rs2292807 were associated with SBP and MAP responses to high-salt diet.MiR-4638-3p SNP rs6601178,miR-210-3p SNP rs12364149,miR-382-5p SNP rs4906032 and rs4143957 were significantly associated with SBP response to high-salt diet.In addition,miR-26b-3p SNP rs115254818 was significantly associated with SBP,DBP and MAP responses to potassium supplementation.MiR-1307-5p SNPs rs11191676,rs2292807,and miR-19a-3p SNP rs4284505 were significantly associated with SBP responses to high-salt and potassium supplementation.Conclusion miRNA gene polymorphisms are associated with BP response to sodium and potassium,suggesting that miRNA genes may be involved in the pathophysiological process of salt sensitivity and potassium sensitivity.

Objective By analyzing the characteristics of hidden poisoning homicide cases,provide scientific references for grass-roots forensic examination and toxicological screening and provide direction for the efficient discovery of hidden or missed cases of poisoning homicide in non-natural death cases.Methods Poisoning incidents in Hunan Province from 2018 to 2023 were retrospectively analyzed and compiled using Origin and EXCEL software.Results There were a total of 149 poisoning homicide cases,with 15 occurring in urban areas(accounting for 10.1%)and 134 in rural areas(accounting for 89.9%).Out of the 46 cases that led to casualties,rodenticide poisoning was the most prevalent(accounting for 52.2%),followed by cyanide(4.3%),nitrite(4.3%),thallium(2.2%),and other forms of poisoning.These incidents were primarily concentrated in urban areas.The main way of poisoning was to mix poisons into drinking water(accounting for 28.3%),meals(26.1%),and dark or heavy seasoning(8.7%).There was no significant disparity in the gender distribution of suspects,although the number of male victims was notably higher than that of female victims.The suspects were predominantly between the ages of 19 and 45,while the victims were mostly between the ages of 46 and 60.Among the 103 cases that did not result in injury or death,99%occurred in rural areas,with more than 95%of the involved poisons included pungent pesticides or herbicides,while rodenticides accounted for the least(1.9%).Conclusion There are obvious urban-rural differences in the case occurrence areas and types of involved poisons in poisoning homicide cases.Therefore,it is imperative to focus on both urban and rural areas during the investigation and evidence collection process in suspected poisoning cases.