Humans ; Child ; Retrospective Studies ; Thrombocytosis/etiology*

Objective: To investigate the diagnostic efficiency and clinical application value of an artificial intelligence-assisted diagnosis model based on a three-dimensional convolutional neural network (3D CNN) on echocardiographic videos of patients with hypertensive heart disease, chronic renal failure (CRF) and hypothyroidism with cardiac involvement. Methods: This study is a retrospective study. The patients with hypertensive heart disease, CRF and hypothyroidism with cardiac involvement, who admitted in Henan Provincial People's Hospital from April 2019 to October 2021, were enrolled. Patients were divided into hypertension group, CRF group, and hypothyroidism group. Additionally, a simple random sampling method was used to select control healthy individuals, who underwent physical examination at the same period. The echocardiographic video data of enrolled participants were analyzed. The video data in each group was divided into a training set and an independent testing set in a ratio of 5 to 1. The temporal and spatial characteristics of videos were extracted using an inflated 3D convolutional network (I3D). The artificial intelligence assisted diagnosis model was trained and tested. There was no case overlapped between the training and validation sets. A model was established according to cases or videos based on video data from 3 different views (single apical four chamber (A4C) view, single parasternal left ventricular long-axis (PLAX) view and all views). The statistical analysis of diagnostic performance was completed to calculate sensitivity, specificity and area under the ROC curve (AUC). The time required for the artificial intelligence and ultrasound physicians to process cases was compared. Results: A total of 730 subjects aged (41.9±12.7) years were enrolled, including 362 males (49.6%), and 17 703 videos were collected. There were 212 cases in the hypertensive group, 210 cases in the CRF group, 105 cases in the hypothyroidism group, and 203 cases in the normal control group. The diagnostic performance of the model predicted by cases based on single PLAX view and all views data was excellent: (1) in the hypertensive group, the sensitivity, specificity and AUC of models based on all views data were 97%, 89% and 0.93, respectively, while those of models based on a single PLAX view were 94%, 95%, and 0.94, respectively; (2) in the CRF group, the sensitivity, specificity and AUC of models based on all views data were 97%, 95% and 0.96, respectively, while those of models based on a single PLAX view were 97%, 89%, and 0.93, respectively; (3) in the hypothyroidism group, the sensitivity, specificity and AUC of models based on all views data were 64%, 100% and 0.82, respectively, while those of models based on a single PLAX view were 82%, 89%, and 0.86, respectively. The time required for the 3D CNN model to measure and analyze the echocardiographic videos of each subject was significantly shorter than that for the ultrasound physicians ((23.96±6.65)s vs. (958.25±266.17)s, P<0.001). Conclusions: The artificial intelligence assisted diagnosis model based on 3D CNN can extract the dynamic temporal and spatial characteristics of echocardiographic videos jointly, and quickly and efficiently identify hypertensive heart disease and cardiac changes caused by CRF and hypothyroidism.
Male ; Humans ; Artificial Intelligence ; Retrospective Studies ; Echocardiography/methods* ; Heart Diseases ; Hypertension ; Hypothyroidism

Nowadays potential preclinical drugs for the treatment of nonalcoholic steatohepatitis (NASH) have failed to achieve expected therapeutic efficacy because the pathogenic mechanisms are underestimated. Inactive rhomboid protein 2 (IRHOM2), a promising target for treatment of inflammation-related diseases, contributes to deregulated hepatocyte metabolism-associated nonalcoholic steatohepatitis (NASH) progression. However, the molecular mechanism underlying Irhom2 regulation is still not completely understood. In this work, we identify the ubiquitin-specific protease 13 (USP13) as a critical and novel endogenous blocker of IRHOM2, and we also indicate that USP13 is an IRHOM2-interacting protein that catalyzes deubiquitination of Irhom2 in hepatocytes. Hepatocyte-specific loss of the Usp13 disrupts liver metabolic homeostasis, followed by glycometabolic disorder, lipid deposition, increased inflammation, and markedly promotes NASH development. Conversely, transgenic mice with Usp13 overexpression, lentivirus (LV)- or adeno-associated virus (AAV)-driven Usp13 gene therapeutics mitigates NASH in 3 models of rodent. Mechanistically, in response to metabolic stresses, USP13 directly interacts with IRHOM2 and removes its K63-linked ubiquitination induced by ubiquitin-conjugating enzyme E2N (UBC13), a ubiquitin E2 conjugating enzyme, and thus prevents its activation of downstream cascade pathway. USP13 is a potential treatment target for NASH therapy by targeting the Irhom2 signaling pathway.

With the global increase in the prevalence of allergic diseases and the rising life expectancy, it is anticipated that the number of elderly patients affected by allergies will also increase. While it was previously believed that allergies primarily affected children and adolescents and diminished with age, epidemiological studies indicate a growing prevalence of allergies in the elderly. Various allergic diseases have similar prevalence rates in the elderly as in the general population, and some, like drug allergies, are even more prevalent in this age group. Allergic diseases in the elderly often present with atypical symptoms, leading to challenges in differential diagnosis and treatment. This paper discusses immunosenescence and the distinct features of allergic diseases in older individuals. The goal is to raise awareness among healthcare providers about allergies in older adults, encourage preventive measures, and improve the quality of life for elderly patients with allergies. By managing allergies better, it can also help with the management of other chronic diseases in the elderly and contribute to better overall health for everyone.

With the global increase in the prevalence of allergic diseases and the rising life expectancy, it is anticipated that the number of elderly patients affected by allergies will also increase. While it was previously believed that allergies primarily affected children and adolescents and diminished with age, epidemiological studies indicate a growing prevalence of allergies in the elderly. Various allergic diseases have similar prevalence rates in the elderly as in the general population, and some, like drug allergies, are even more prevalent in this age group. Allergic diseases in the elderly often present with atypical symptoms, leading to challenges in differential diagnosis and treatment. This paper discusses immunosenescence and the distinct features of allergic diseases in older individuals. The goal is to raise awareness among healthcare providers about allergies in older adults, encourage preventive measures, and improve the quality of life for elderly patients with allergies. By managing allergies better, it can also help with the management of other chronic diseases in the elderly and contribute to better overall health for everyone.

Objective: To investigate the effects of PM_2.5 exposure at different stages of early life on the prefrontal cortex of offspring rats. Methods: Twelve pregnant SD rats were randomly divided into four groups: Control group (CG), Maternal pregnancy exposure group (MG), Early postnatal exposure group (EP) and Perinatal period exposure group (PP), 3 rats in each group. The pregnant and offspring rats were exposed to clean air or 8-fold concentrated PM_2.5. MG was exposed from gestational day (GD) 1 to GD21. EP was exposed from postnatal day (PND) 1 to PND21, and PP was exposed from GD1 to PND21. After exposure, the prefrontal cortex of 6 offspring rats in each group was analyzed. HE staining was used to observe the pathological damage in the prefrontal cortex. ELISA was employed to detect neuroinflammatory factors, and HPLC/MSC was applied to determine neurotransmitter content. Western blot and colorimetry were applied for detecting astrocyte markers and oxidative stress markers, respectively. Results: Compared with MG and CG, the pathological changes of prefrontal cortex in PP and EP were more obvious. Compared with MG and CG, the neuroinflammatory factors (IL-1, IL-6, TNF-α) in PP and EP were increased significantly (P＜0.01), the level of MT were decreased significantly (P＜0.05), and the level of oxytocin (OT) showed a downward trend; the level of neurotransmitter ACh was also increased significantly (P＜0.01). Compared with MG and CG, the GFAP level of PP and EP showed an upward trend, the level of oxidative stress index SOD in PP and EP was decreased significantly (P＜0.01), and the level of ROS was increased significantly (P＜0.01). Compared with the offspring rats of CG and MG, the CAT level of PP was decreased significantly (P＜0.01, P＜0.05). Compared with the offspring rats of CG, the CAT level of EP was decreased significantly (P＜0.05). There was no significant difference in IL-1, IL-6, TNF-α, MT, OT, ACh, GFAP, SOD, ROS and CAT levels between PP and EP, or MG and CG. Conclusion: PM_2.5 exposure in early life has adverse effects on the prefrontal cortex of offspring male rats, and early birth exposure may be more sensitive.
Animals ; Female ; Interleukin-1/pharmacology* ; Interleukin-6 ; Male ; Neurotransmitter Agents ; Particulate Matter/toxicity* ; Prefrontal Cortex ; Pregnancy ; Rats ; Rats, Sprague-Dawley ; Reactive Oxygen Species ; Superoxide Dismutase ; Tumor Necrosis Factor-alpha/pharmacology*

Objective: This article aims to observe the changes in long noncoding RNA (lncRNA) expression profiles in rat hearts after ozone sub-chronic exposure. To provide scientific data to explore the role and mechanism of differentially expressed lncRNA in damaged hearts caused by ozone sub-chronic exposure. Methods: Eighteen Wistar rats were randomly divided into filtered air and ozone exposure groups, with nine rats in each group. The rats in filtered air group were exposed to filtered air, while the rats in ozone exposure group were exposed to ozone at 0.5 ppm(0.980 mg/m³)for 90 days at a frequency of 6 hours per day. After ozone exposure, cardiac tissues were collected and the total RNA was extracted. The expression level of lncRNA in the hearts of two groups was detected by microarray and qRT-PCR method and the potential functions of the differentially expressed lncRNA were analyzed by bioinformatics. Results: Compared with the filtered air group, lncRNA's expression profile was significantly altered in the rat hearts of ozone exposure group. A total of 167 lncRNA were up-regulated significantly and 64 lncRNA were down-regulated significantly. GO analysis indicated that the up-regulated lncRNA might involve in the process of regulating growth and development, and the down-regulated lncRNA might participate in nutrient catabolic. KEGG results showed that the up-regulated lncRNA might be involved in regulating the PI3K-Akt signaling pathway. The down-regulated lncRNA might regulate the metabolic processes of various vitamins and main energy-supplying substances. Conclusion: Ozone sub-chronic exposure can cause changes in the expression profile of lncRNA in rat hearts, which may regulate the effects of ozone sub-chronic exposure on the heart through the metabolism of energy and nutrients.
Animals ; Computational Biology ; Ozone/adverse effects* ; Phosphatidylinositol 3-Kinases ; RNA, Long Noncoding/genetics* ; Rats ; Rats, Wistar

Recent advancement in natural language processing (NLP) and medical imaging empowers the wide applicability of deep learning models. These developments have increased not only data understanding, but also knowledge of state-of-the-art architectures and their real-world potentials. Medical imaging researchers have recognized the limitations of only targeting images, as well as the importance of integrating multimodal inputs into medical image analysis. The lack of comprehensive surveys of the current literature, however, impedes the progress of this domain. Existing research perspectives, as well as the architectures, tasks, datasets, and performance measures examined in the present literature, are reviewed in this work, and we also provide a brief description of possible future directions in the field, aiming to provide researchers and healthcare professionals with a detailed summary of existing academic research and to provide rational insights to facilitate future research.
Humans ; Natural Language Processing ; Surveys and Questionnaires

Objective: To analyze the clinical characteristics of children with Burkitt lymphoma (BL) and to summarize the mid-term efficacy of China Net Childhood Lymphoma-mature B-cell lymphoma 2017 (CNCL-B-NHL-2017) regimen. Methods: Clinical features of 436 BL patients who were ≤18 years old and treated with the CNCL-B-NHL-2017 regimen from May 2017 to April 2021 were analyzed retrospectively. Clinical characteristics of patients at disease onset were analyzed and the therapeutic effects of patients with different clinical stages and risk groups were compared. Survival analysis was performed by Kaplan-Meier method, and Cox regression was used to identify the prognostic factors. Results: Among 436 patients, there were 368 (84.4%) males and 68 (15.6%) females, the age of disease onset was 6.0 (4.0, 9.0) years old. According to the St. Jude staging system, there were 4 patients (0.9%) with stage Ⅰ, 30 patients (6.9%) with stage Ⅱ, 217 patients (49.8%) with stage Ⅲ, and 185 patients (42.4%) with stage Ⅳ. All patients were stratified into following risk groups: group A (n=1, 0.2%), group B1 (n=46, 10.6%), group B2 (n=19, 4.4%), group C1 (n=285, 65.4%), group C2 (n=85, 19.5%). Sixty-three patients (14.4%) were treated with chemotherapy only and 373 patients (85.6%) were treated with chemotherapy combined with rituximab. Twenty-one patients (4.8%) suffered from progressive disease, 3 patients (0.7%) relapsed, and 13 patients (3.0%) died of treatment-related complications. The follow-up time of all patients was 24.0 (13.0, 35.0) months, the 2-year event free survival (EFS) rate of all patients was (90.9±1.4) %. The 2-year EFS rates of group A, B1, B2, C1 and C2 were 100.0%, 100.0%, (94.7±5.1) %, (90.7±1.7) % and (85.9±4.0) %, respectively. The 2-year EFS rates was higher in group A, B1, and B2 than those in group C1 (χ²=4.16, P=0.041) and group C2 (χ²=7.21, P=0.007). The 2-year EFS rates of the patients treated with chemotherapy alone and those treated with chemotherapy combined with rituximab were (79.3±5.1)% and (92.9±1.4)% (χ²=14.23, P<0.001) respectively. Multivariate analysis showed that stage Ⅳ (including leukemia stage), serum lactate dehydrogenase (LDH)>4-fold normal value, and with residual tumor in the mid-term evaluation were risk factors for poor prognosis (HR=1.38,1.23,8.52,95%CI 1.05-1.82,1.05-1.43,3.96-18.30). Conclusions: The CNCL-B-NHL-2017 regimen show significant effect in the treatment of pediatric BL. The combination of rituximab improve the efficacy further.
Adolescent ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Burkitt Lymphoma/drug therapy* ; Child ; Disease-Free Survival ; Female ; Humans ; Lactate Dehydrogenases ; Lymphoma, B-Cell/drug therapy* ; Male ; Prognosis ; Retrospective Studies ; Rituximab/therapeutic use* ; Treatment Outcome

ObjectiveTo explore the therapeutic effect and possible mechanism of Banxia Xiexintang and its disassembled prescriptions in regulating the flora disorder induced by mixed antibiotics in young rats. MethodSeventy male BALB/C young rats were randomly assigned into 7 groups： blank group， model group， Bifidobacterium tetralogy viable tablets （0.68 g·kg^-1） group， Banxia Xiexintang （9.1 g·kg^-1） group， Xinkai （3.19 g·kg^-1） group， Kujiang （1.82 g·kg^-1） group， and Ganbu （4.1 g·kg^-1） group， with 10 rats in each group. Except the blank group， the other groups were given mixed antibiotics by gavage to induce intestinal flora disorder. After 14 days， the rats in different drug groups were administrated with corresponding drugs by gavage， and those in the blank group and model group with the same amount of normal saline once a day for 14 days. After that， fecal samples were collected aseptically for 16S rDNA sequencing of intestinal flora， and lipopolysaccharide （LPS， 10 mg·kg^-1） was injected intraperitoneally to induce inflammatory reaction. The tissue morphology of colonic mucosa was observed via hematoxylin-eosin （HE） staining， and the macrophage infiltration of colonic mucosa was observed via toluidine blue staining and immunohistochemistry. The expression of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， tumor necrosis factor-α （TNF-α）， and interleukin-10 （IL-10） mRNA were determined by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultCompared with the blank group， the modeling changed the intestinal flora structure of the young rats （P<0.01）， damaged the colonic mucosa， reduced the macrophage infiltration， and down-regulated the mRNA levels of IL-1β， IL-6， IL-8， TNF-α， and IL-10 （P<0.01）. Compared with the model group， bifidobacterium quadruple viable tablets， Banxia Xiexintang and its disassembled prescriptions increased the diversity of intestinal flora and the relative abundance of beneficial bacteria such as Bacteroidetes and Firmicutes （P<0.01）. At the same time， they ameliorated colonic mucosal injury （P<0.05， P<0.01）， increased macrophage infiltration （P<0.05， P<0.01）， and up-regulated the mRNA levels of IL-6， IL-8， and TNF-α （P<0.01）. The mRNA level of IL-1β was up-regulated in Bifidobacterium tetralogy viable tablets， Banxia Xiexintang， Kujiang， and Ganbu groups （P<0.01）， and that of IL-10 was up-regulated in Bifidobacterium tetralogy viable tablets， Banxia Xiexintang， Xinkai， and Ganbu groups （P<0.01）. ConclusionBanxia Xiexintang and the disassembled prescriptions can adjust the intestinal flora of young rats exposed to antibiotics and protect the immune barrier of colonic mucosa after intestinal flora disorder. In particularly， the whole prescription of Banxia Xiexintang demonstrates the best performance.