Retinal vein occlusion(RVO)is the second most common blinding retinal vascular disease, and its secondary macular edema(ME)is an important cause of visual function impairment in patients. Intravitreal injection of anti-vascular endothelial growth factor(VEGF)drugs serves as the first-line treatment, yet it is confronted with such issues as the need for repeated injections and non-response in some patients. Imaging and laboratory biomarkers play a crucial role in the early accurate diagnosis, prediction of disease progression, and evaluation of visual prognosis of RVO-ME. This study systematically reviews the research progress of imaging and laboratory biomarkers related to the prognosis of RVO-ME after anti-VEGF treatment in recent years, covering imaging biomarkers like central retinal thickness and ellipsoid zone integrity, as well as laboratory biomarkers such as serum APLN and aqueous humor IL-6. It summarizes the associations between different biomarkers and the prognosis of anti-VEGF therapy, aiming to provide a basis for the early accurate assessment and optimization of individualized treatment for RVO-ME patients, which holds significant clinical reference value.

Anhedonia is one of the core features of major depressive disorder (MDD) and is associated with poor functional outcomes in MDD patients. Psychosocial functional recovery is an important goal for achieving MDD remission. Although longitudinal studies have found association between anhedonia and impaired psychosocial function, there is still a lack of neurobiological biomarkers that can indicate this relationship. In this review, brain structural and functional changes associated with anhedonia and impaired psychosocial function in MDD patients are reviewed from the perspective of magnetic resonance imaging. It finds that anhedonia and psychosocial dysfunction in MDD may share common neuroimaging changes, manifested in abnormal brain regions such as the nucleus accumbens, caudate nucleus, putamen nucleus, orbitofrontal cortex, insula, amygdala, anterior cingulate cortex, dorsolateral prefrontal cortex, superior parietal lobe, inferior frontal gyrus and temporal lobe. These findings help to better understand the pathophysiology of the disease and offer potential insights for developing new treatment strategies.

Anhedonia is one of the core features of major depressive disorder (MDD) and is associated with poor functional outcomes in MDD patients. Psychosocial functional recovery is an important goal for achieving MDD remission. Although longitudinal studies have found association between anhedonia and impaired psychosocial function, there is still a lack of neurobiological biomarkers that can indicate this relationship. In this review, brain structural and functional changes associated with anhedonia and impaired psychosocial function in MDD patients are reviewed from the perspective of magnetic resonance imaging. It finds that anhedonia and psychosocial dysfunction in MDD may share common neuroimaging changes, manifested in abnormal brain regions such as the nucleus accumbens, caudate nucleus, putamen nucleus, orbitofrontal cortex, insula, amygdala, anterior cingulate cortex, dorsolateral prefrontal cortex, superior parietal lobe, inferior frontal gyrus and temporal lobe. These findings help to better understand the pathophysiology of the disease and offer potential insights for developing new treatment strategies.

Gastric cancer is one of the most common malignant tumors in the world. Patients with gastric cancer are often treated by surgery, radiotherapy, chemotherapy or immunotherapy, but the clinical efficacy and prognosis are poor. As an important member of ADAMs family, a disintegrin and metalloprotease 17 (ADAM17) is significantly more highly expressed in gastric cancer than in adjacent tissues. It participates in the occurrence and development of gastric cancer by mediating EGFR, TNF-α, TGF-β/Smad, Notch and Wnt, FoxM1-ADAM17 and EGFR/ERK/SP1. The high expression of ADAM17 is also closely related to the poor prognosis of gastric cancer, suggesting that ADAM17 can be used as a biological index to predict the development and prognosis of gastric cancer and has great potential to become a new therapeutic target for gastric cancer. In this paper, the mechanism, treatment and prognosis of ADAM17 in the development of gastric cancer are reviewed, in order to provide new ideas for clinical diagnosis and treatment of gastric cancer.

Objective The efficacy of Zang Bi Formula(ZBF)in cardiac complications of rheumatoid arthritis(RA)was observed through animal experiments.Ultra-high performance liquid chromatography tandem time-of-flight mass spectrometry(UHPLC-TOF-MS)and network pharmacology was used to analyze the active ingredients,targets,and pathways of ZBF for the treatment of cardiac hypertrophy,and molecular docking was applied to verify the binding ability of the ingredients to pathway-related proteins.Methods TNF transgenic(TNF-Tg)mice were used as RA and RA-complexed cardiac hypertrophy models,and the left ventricular hypertrophy of mice was observed by echocardiography after 8 weeks of continuous gavage with ZBF,and WGA staining,HE staining,and Masson staining were used to observe and analyze the pathological changes of cardiac tissues.The chemical composition of ZBF was identified by UHPLC-TOF-MS technique.The public database was then used to screen the active ingredients and component targets and disease targets,construct interaction networks,and analyze the bioconcentration data as well as the docking ability of the active ingredients and proteins.Results In animal experiments,ZBF reduced cardiac weight index and cardiac weight tibia length ratio in TNF-Tg mice(P＜0.05,P＜0.01),attenuated cardiac hypertrophy(P＜0.001)and cardiomyocyte hypertrophy(P＜0.01),and alleviated inflammatory infiltration and fibrosis in the heart(P＜0.0001).A total of 24 compounds were identified from ZBF by UHPLC-TOF-MS.A total of 105 active ingredients of ZBF were screened by network pharmacological analysis,and 187 potential targets of ZBF for cardiac hypertrophy were constructed,and the enriched pathways with significance included PI3K-AKT signaling pathway,TNF signaling pathway,and MAPK signaling pathway.Conclusion ZBF attenuated myocardial hypertrophy and cardiomyocyte hypertrophy in TNF-Tg mice and alleviated inflammatory infiltration and fibrosis in the heart,and ZBF may be a potential drug for the treatment of RA and its cardiac complications in the clinic.

Neurocognitive dysfunction has been identified in major depressive disorder (MDD), and can potentially impair an individual′s psychosocial functioning. Consequently, the relationship between neurocognition and psychosocial functioning of MDD has gradually become one of the hot spots in recent years. Studying the association can help explore the biological basis of psychosocial functioning in depression, allows for underpinnings, targeted clinical interventions, and ultimately achieves true rehabilitation. This article summarises studies on the specific relationships between subfields of neurocognitive and psychosocial function in MDD, and discusses potential future research directions.

Objective The efficacy of Zang Bi Formula(ZBF)in cardiac complications of rheumatoid arthritis(RA)was observed through animal experiments.Ultra-high performance liquid chromatography tandem time-of-flight mass spectrometry(UHPLC-TOF-MS)and network pharmacology was used to analyze the active ingredients,targets,and pathways of ZBF for the treatment of cardiac hypertrophy,and molecular docking was applied to verify the binding ability of the ingredients to pathway-related proteins.Methods TNF transgenic(TNF-Tg)mice were used as RA and RA-complexed cardiac hypertrophy models,and the left ventricular hypertrophy of mice was observed by echocardiography after 8 weeks of continuous gavage with ZBF,and WGA staining,HE staining,and Masson staining were used to observe and analyze the pathological changes of cardiac tissues.The chemical composition of ZBF was identified by UHPLC-TOF-MS technique.The public database was then used to screen the active ingredients and component targets and disease targets,construct interaction networks,and analyze the bioconcentration data as well as the docking ability of the active ingredients and proteins.Results In animal experiments,ZBF reduced cardiac weight index and cardiac weight tibia length ratio in TNF-Tg mice(P＜0.05,P＜0.01),attenuated cardiac hypertrophy(P＜0.001)and cardiomyocyte hypertrophy(P＜0.01),and alleviated inflammatory infiltration and fibrosis in the heart(P＜0.0001).A total of 24 compounds were identified from ZBF by UHPLC-TOF-MS.A total of 105 active ingredients of ZBF were screened by network pharmacological analysis,and 187 potential targets of ZBF for cardiac hypertrophy were constructed,and the enriched pathways with significance included PI3K-AKT signaling pathway,TNF signaling pathway,and MAPK signaling pathway.Conclusion ZBF attenuated myocardial hypertrophy and cardiomyocyte hypertrophy in TNF-Tg mice and alleviated inflammatory infiltration and fibrosis in the heart,and ZBF may be a potential drug for the treatment of RA and its cardiac complications in the clinic.

Neurocognitive dysfunction has been identified in major depressive disorder (MDD), and can potentially impair an individual′s psychosocial functioning. Consequently, the relationship between neurocognition and psychosocial functioning of MDD has gradually become one of the hot spots in recent years. Studying the association can help explore the biological basis of psychosocial functioning in depression, allows for underpinnings, targeted clinical interventions, and ultimately achieves true rehabilitation. This article summarises studies on the specific relationships between subfields of neurocognitive and psychosocial function in MDD, and discusses potential future research directions.

Objective:To construct a real-time artificial intelligence (AI)-assisted endoscepic diagnosis system based on YOLO v3 algorithm, and to evaluate its ability of detecting focal gastric lesions in gastroscopy.Methods:A total of 5 488 white light gastroscopic images (2 733 images with gastric focal lesions and 2 755 images without gastric focal lesions) from June to November 2019 and videos of 92 cases (288 168 clear stomach frames) from May to June 2020 at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University were retrospectively collected for AI System test. A total of 3 997 prospective consecutive patients undergoing gastroscopy at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from July 6, 2020 to November 27, 2020 and May 6, 2021 to August 2, 2021 were enrolled to assess the clinical applicability of AI System. When AI System recognized an abnormal lesion, it marked the lesion with a blue box as a warning. The ability to identify focal gastric lesions and the frequency and causes of false positives and false negatives of AI System were statistically analyzed.Results:In the image test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 92.3% (5 064/5 488), 95.0% (2 597/2 733), 89.5% (2 467/ 2 755), 90.0% (2 597/2 885) and 94.8% (2 467/2 603), respectively. In the video test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 95.4% (274 792/288 168), 95.2% (109 727/115 287), 95.5% (165 065/172 881), 93.4% (109 727/117 543) and 96.7% (165 065/170 625), respectively. In clinical application, the detection rate of local gastric lesions by AI System was 93.0% (6 830/7 344). A total of 514 focal gastric lesions were missed by AI System. The main reasons were punctate erosions (48.8%, 251/514), diminutive xanthomas (22.8%, 117/514) and diminutive polyps (21.4%, 110/514). The mean number of false positives per gastroscopy was 2 (1, 4), most of which were due to normal mucosa folds (50.2%, 5 635/11 225), bubbles and mucus (35.0%, 3 928/11 225), and liquid deposited in the fundus (9.1%, 1 021/11 225).Conclusion:The application of AI System can increase the detection rate of focal gastric lesions.

The local microenvironment is essential to stem cell-based therapy for ischemic stroke, and spatiotemporal changes of the microenvironment in the pathological process provide vital clues for understanding the therapeutic mechanisms. However, relevant studies on microenvironmental changes were mainly confined in the acute phase of stroke, and long-term changes remain unclear. This study aimed to investigate the microenvironmental changes in the subacute and chronic phases of ischemic stroke after stem cell transplantation. Herein, induced pluripotent stem cells (iPSCs) and neural stem cells (NSCs) were transplanted into the ischemic brain established by middle cerebral artery occlusion surgery. Positron emission tomography imaging and neurological tests were applied to evaluate the metabolic and neurofunctional alterations of rats transplanted with stem cells. Quantitative proteomics was employed to investigate the protein expression profiles in iPSCs-transplanted brain in the subacute and chronic phases of stroke. Compared with NSCs-transplanted rats, significantly increased glucose metabolism and neurofunctional scores were observed in iPSCs-transplanted rats. Subsequent proteomic data of iPSCs-transplanted rats identified a total of 39 differentially expressed proteins in the subacute and chronic phases, which are involved in various ischemic stroke-related biological processes, including neuronal survival, axonal remodeling, antioxidative stress, and mitochondrial function restoration. Taken together, our study indicated that iPSCs have a positive therapeutic effect in ischemic stroke and emphasized the wide-ranging microenvironmental changes in the subacute and chronic phases.
Animals ; Cell Differentiation ; Disease Models, Animal ; Ischemic Stroke ; Proteomics ; Rats ; Stem Cell Transplantation/methods* ; Stroke/therapy*