Optogenetics, a technique for the precise modulation of cellular activity, has unveiled its distinctive application value within ophthalmology. Optogenetics achieves the light-controlled activation or inhibition of retinal cell functions through precise genetic introduction of light-sensitive proteins, paving new avenues for the treatment of irreversible vision impairment. Optogenetics has emerged as an effective treatment for retinal degenerative diseases and optic nerve damage, it has also made substantial contributions to the realm of visual function research. Furthermore, the integration of optogenetics with light-controlled stem cell technology and light-controlled gene editing technology has unveiled its immense potential in clinical translation. With the advancement of technology and the deepening of clinical practice, optogenetics holds broad prospects within ophthalmology and is poised to offer innovative therapeutic strategies for patients with visual impairments.

Optogenetics, a technique for the precise modulation of cellular activity, has unveiled its distinctive application value within ophthalmology. Optogenetics achieves the light-controlled activation or inhibition of retinal cell functions through precise genetic introduction of light-sensitive proteins, paving new avenues for the treatment of irreversible vision impairment. Optogenetics has emerged as an effective treatment for retinal degenerative diseases and optic nerve damage, it has also made substantial contributions to the realm of visual function research. Furthermore, the integration of optogenetics with light-controlled stem cell technology and light-controlled gene editing technology has unveiled its immense potential in clinical translation. With the advancement of technology and the deepening of clinical practice, optogenetics holds broad prospects within ophthalmology and is poised to offer innovative therapeutic strategies for patients with visual impairments.

Objective:To explore the value of machine-learning models based on magnetic resonance imaging(MRI)radiomics features for the preoperative prediction of the blood supply in pituitary neuroendocrine tumors.Methods:A retrospective analysis was performed on the clinical and imaging data of 136 patients with pathologically confirmed pituitary neuroendocrine tumors(diameter>10 mm)from April 2013 to April 2023 at Yi Jishan Hospital of Wannan Medical College.Based on the intraoperative findings,the patients were assigned into richly vascularized(n=50)and normally vascularized(n=86)groups.All patients were allocated randomly in a 7:3 ratio into a training(n=96)or a validation group(n=40).Three machine-learning algorithms,multivariate Logistic regression(LR),random forest(RF),and support vec-tor machine(SVM),were used to establish radiomics prediction models.Receiver operating characteristic(ROC)curves were plotted to eval-uate the diagnostic performance of the models;decision curve analysis(DCA)was used to assess the net clinical benefit of the models.Res-ults:The clinical model achieved areas under the ROC curve(AUC)of 0.74 and 0.82 in the training and validation groups,respectively.The radiomics models using T1-weighted imaging(WI),T2WI,T1WI-enhanced,and combined sequences achieved AUCs of 0.80,0.84,0.82,and 0.84 in the training group and 0.82,0.80,0.85,and 0.83 in the validation group,respectively.The LR,RF,and SVM models had AUCs of 0.85,0.87,and 0.84 in the training group and 0.85,0.85,and 0.83 in the validation group,respectively.All radiomics models demonstrated great-er diagnostic efficacy than the clinical model.DCA indicated that the LR,SVM,and combined-sequence models achieved good net clinical be-nefits;the LR model showed the best results.Conclusions:Machine-learning models based on MRI radiomics exhibit high predictive value,surpassing the clinical judgment of radiologists based on MRI images alone,and offer a favorable net clinical benefit.

Attenuated psychotic symptoms and cognitive impairments characterize individuals at clinical high risk (CHR) for psychosis. Those who convert to schizophrenia during the follow-up often exhibit more severe cognitive impairments. Recently, task functional magnetic resonance imaging(fMRI) studies have provided imaging features for revealing the neurobiological basis of different cognitive function impairments, biomarkers for predicting conversion to psychosis, and potential targets for developing the early intervention. This review summarized the progress of fMRI studies focused on cognitive impairments, including the features of abnormal brain activities related to cognitive functions and clinical symptoms. The authors also looked at the possibility of predicting clinical conversion based on the fMRI features.

Attenuated psychotic symptoms and cognitive impairments characterize individuals at clinical high risk (CHR) for psychosis. Those who convert to schizophrenia during the follow-up often exhibit more severe cognitive impairments. Recently, task functional magnetic resonance imaging(fMRI) studies have provided imaging features for revealing the neurobiological basis of different cognitive function impairments, biomarkers for predicting conversion to psychosis, and potential targets for developing the early intervention. This review summarized the progress of fMRI studies focused on cognitive impairments, including the features of abnormal brain activities related to cognitive functions and clinical symptoms. The authors also looked at the possibility of predicting clinical conversion based on the fMRI features.

Objective:To explore and compare the value of radiomic features based on 18F-fluorodeoxyglucose (FDG) PET and CT in distinguishing epidermal growth factor receptor (EGFR) mutation status in patients with lung adenocarcinoma. Methods:Pretreatment 18F-FDG PET/CT images and EGFR gene status of 114 patients (64 males and 50 females, aged range: 35-84 (average age: 61) years) with primary lung adenocarcinoma between January 2017 and December 2017 were retrospectively collected. The volume of interest was drawn manually slice by slice, then the features were extracted by the LIFEx software. The parameters were screened by least absolute shrinkage and selection operator (LASSO) method for 200 times, and ten-fold cross-validation was used to select the best tuning parameter λ. Three models, namely M PET, M CT, M PET+ CT, were constructed by binary logistic stepwise regression. The receiver operating characteristic (ROC) curve was generated and the corresponding area under the curve (AUC), sensitivity, specificity and accuracy were calculated. The AUCs of three models were compared by Delong test. Results:Totally, 53.51%(61/114) patients were with wild type EGFR and 46.49%(53/114) patients had EGFR mutation. There were 3, 3, 7 parameters selected to form M PET, M CT, M PET+ CT, respectively. The AUCs for M PET, M CT, M PET+ CT were 0.730, 0.752 and 0.866 respectively. When the cut-off values were 0.427, 0.522, 0.378 for M PET, M CT and M PET+ CT, the Youden index were up to the maximum as 0.420, 0.405, 0.630, with sensitivities of 83.0%(44/53), 58.5%(31/53), 92.5%(49/53), specificities of 59.0%(36/61), 82.0%(50/61), 70.5%(43/61) and accuracies of 70.2%(80/114), 71.1%(81/114), 80.7%(92/114), respectively. There was no significant difference between AUC of M PET and M CT ( z=-0.320, P>0.05). The differences of AUCs between M PET+ CT and M PET, M PET+ CT and M CT were statistically significant ( z values: 2.963, 2.523, both P<0.05). Conclusions:PET, CT and PET+ CT radiomic features are all associated with EGFR gene expression in lung adenocarcinoma. M PET+ CT has the highest predictive efficiency.

With continuous discovery of tumor immune targets and continuous changes in antibody research and development technology, antibody drugs are becoming more and more widely used in clinical practice. However, some targets are not only expressed on tumor cells, but also on red blood cells. Therefore, the clinical application of antibodies against the corresponding targets may interfere with the detection of blood transfusion compatibility, resulting in difficulty in blood matching or delay of blood transfusion. This consensus summarizes the current solutions for the interference of CD38 monoclonal antibody (CD38 mAb) in transfusion compatibility testing. After analyzing the advantages and disadvantages of different methods, polybrene and sulfhydryl reducing agents [dithiothreitol (DTT) or 2-mercaptoethanol (2-Me)], as a solution for CD38 mAb interference in blood compatibility testing, are recommended for Chinese patients, so as to eliminate blood transfusion interference produce by CD38 mAb and further provide a pre-transfusion workflow for clinicians and technicians in Department of Blood Transfusion.

Objective:To evaluate the efficacy and safety profile of ixazomib/lenalidomide/dexamethasone (IRd) in Chinese patients with relapsed/refractory multiple myeloma (MM) .Methods:This study comprising 14 medical centers in China included patients with relapsed/refractory MM who received at least. Ixazomib at an initial oral dose of 4 mg was administered. Seven patients had dose adjustment to 3 mg at the time of first dose. The lenalidomide doses were adjusted according to creatinine clearance rate. The efficacy and safety were evaluated every cycle.Results:In the study cohort of 74 patients, the median age was 65 years and 11 (14.9% ) patients received over three lines of therapy. Overall response rate (ORR) was 54.1% (40/74) , and 7 (9.5% ) , 14 (18.9% ) , and 19 (25.7% ) patients achieved stringent complete response or complete response, very good partial response, and partial response, respectively. The median progression-free survival and overall survival were 9.9 and 20 months, respectively. The median time to response was 1 month. The efficacy and survival outcome were similar to those reported in the Tourmaline-MM1 China Continuous Study. The ORR of patients refractory to bortezomib, lenalidomide, and bortezomib plus lenalidomide were 52.0% (13/25) , 57.1% (4/7) , and 33.3% (6/18) , respectively. The rate of grade 3-4 adverse events was 36.5% (27/74) . Common hematological toxicities were anemia, thrombocytopenia, lymphopenia, and neutropenia. Common non-hematological toxicities were fatigue, gastrointestinal symptoms, and infections. Two cases of grade 3 peripheral neuropathy were reported. The patients eligible for the Tourmaline-MM1 China Continuous Study had a higher ORR than the ineligible patients [77.8% (14/18) vs 46.4% (26/56) , P=0.020]. There was no difference in the rate of grade 3-4 adverse events [33.3% (6/18) vs 37.5% (21/56) , P=0.749]. Conclusion:The IRd regimen had good efficacy and acceptable toxicity in Chinese patients with relapsed/refractory MM.

Most patients with schizophrenia have experienced a period called clinical high risk (CHR) preceding the first episode of psychosis.Early identification of CHR and timely medication or psychological intervention may reduce conversion to psychosis.By exploring biomarkers that predict the onset of psychosis and improving the accuracy of predicting the prognosis of CHR state, it is possible to take a more active intervention measure.As a fast and economical neurophysiological test, event-related potential (ERP) may reflect the perception process, pre-attention process, and attention distribution of the cognitive processes.And it holds promise for becoming objective indices in predicting the clinical outcomes of the CHR patients.This paper reviews the current studies on different ERP components in the CHR population and their performance as predictors of clinical outcomes.The results show that among ERP abnormalities, P300 and MMN amplitude reductions appear to be more reliable than others, which may indicate that distinct components reflect different stages of the disease.However, as a physiological index in the CHR group, aberrant ERP lacks certain specificity.The algorithm analysis combining different ERP components or combining components with symptoms may make the test more specific in the future.

Objective: To improve the understanding of idiopathic hypereosinophilic syndrome (HES) and to be aware of its potential of transforming to acute myeloid leukemia (AML). Methods: The clinical data of one patient diagnosed with HES progressed to AML in the 923rd Hospital of the People's Liberation Army Joint Service Support Force were analyzed, and relevant literatures were reviewed. Results: The patient was diagnosed with idiopathic HES that progressed to AML with FIP1-like-1-platelet-derived growth factor receptor α (FIP1L1-PDGFRA) after 2 years. The patients achieved complete remission after the treatment of chemotherapy combined with tyrosine kinase inhibitor and then received hematopoietic stem cell transplantation. The patient had more than 1 year disease-free survival until the deadline. Conclusion Idiopathic HES has the potential to transform to AML with FIP1L1-PDGFRA fusion gene positive, therefore regular follow-up should be emphasized.