Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

The purpose of this research is to identify the chemical constituents of sea buckthorn leaves extract (SBLE) and explore its hypoglycemic biological activity. SBLE was prepared by hot reflux extraction with 65% ethanol, and its chemical composition was analyzed by ultra-high-performance liquid chromatography-photodiode array-mass spectrometry/mass spectrometry (UHPLC-PDA-MS/MS) system. The animal experiments were compliant with ethical principles for animal use and had been approved by the Animal Experiment Ethics Committee of Jinan University. Mice were injected with streptozocin (STZ) to establish a hyperglycemic animal model, and SBLE (1.5 g·kg^-1) was administered by gavage for 5 weeks. The fasting blood glucose (FBG) and oral glucose tolerance were detected. Normal mice were given SBLE (1.5 g·kg^-1) by intragastric administration for 10 days, and blood was collected from the tail vein to detect the changes in blood glucose within 120 min after sucrose or starch loading. The mucous membrane of the small intestine of mice was taken to detect the activity of α-glucosidase (AG), and the activity of yeast-derived AG incubated with SBLE was evaluated. The glucose uptake by Caco-2 cells treated with SBLE was detected by fluorescence microscopy and cytometry, and the gene expression of sodium-dependent glucose transporter 1 (SGLT1) and glucose transporter 2 (GLUT2) in Caco-2 cells were detected by real-time quantitative PCR (qPCR). A total of 18 compounds were identified, mainly including tannins and flavonoids. SBLE reduced FBG and increased oral glucose tolerance in STZ hyperglycemic mice. SBLE effectively inhibited the increase of blood glucose caused by starch intake in normal mice. SBLE exerted good inhibitory activity on yeast-derived AG (IC₅₀ = 16.94 μg·mL^-1) and small intestinal mucosa AG with an inhibition rate of 15.48%. SBLE (25-100 μg·mL^-1) dose-dependently inhibited glucose uptake by Caco-2 cells, and SBLE significantly reduced the mRNA level of SGLT1 without changing the expression of GLUT2. In conclusion, the UHPLC characteristic fingerprint of SBLE is established with 18 chemical components identified by mass spectrometry, and SBLE exerts hypoglycemic effect by inhibiting the activity of AG and the absorption of glucose by intestinal epithelial cells.

Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9％) were men. Among them, nearly two-thirds (62.5％) of the survivors were moderate, three (9.4％) were severe, and more than half (59.4％) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6％ at 3 months to 15.8％ at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1％) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

Most bacterial cell surface glycans are structurally unique, and have been considered as ideal target molecules for the developments of detection and diagnosis techniques, as well as vaccines. Chemical synthesis has been a promising approach to prepare well-defined oligosaccharides, facilitating the structure-activity relationship exploration and biomedical applications of bacterial glycans. L-Galactosaminuronic acid is a rare sugar that has been only found in cell surface glycans of gram-negative bacteria. Here, an orthogonally protected L-galactosaminuronic acid building block was designed and chemically synthesized. A synthetic strategy based on glycal addition and TEMPO/BAIB-mediated C6 oxidation served well for the transformation of commercial L-galactose to the corresponding L-galactosaminuronic acid. Notably, the C6 oxidation of the allyl glycoside was more efficient than that of the selenoglycoside. In addition, a balance between the formation of allyl glycoside and the recovery of selenoglycoside was essential to improve efficiency of the NIS/TfOH-catalyzed allylation. This synthetically useful L-galactosaminuronic acid building block will provide a basis for the syntheses of complex bacterial glycans.
Carbohydrates ; Glycosides ; Oligosaccharides ; Oxidation-Reduction ; Polysaccharides/chemistry*

This study reports the diagnosis and treatment of 2 children with isolated testicular recurrence (ITR) of acute B lymphoblastic leukemia (B-ALL) treated with CD 19 targeted chimeric antigen receptor T (CD 19 CAR-T) cells in May and December 2019 in the Department of Hematology and Oncology, Children′s Hospital of Soochow University, and explores the efficacy of CD 19 CAR-T cells therapy versus conventional radiotherapy and chemotherapy through literature review.Both cases were diagnosed as B-ALL by the morphologic, immunologic, cytogenetic and molecular biology methods.ITR was diagnosed by testicular biopsy at 60 months and 38 months after initial diagnosis in 2 cases, respectively.After infusion of CD 19 CAR-T cells at 7.0×10 6/kg and 1.5×10 7/kg, respectively for 7-10 days, testicular leukemia cell infiltration disappeared and complete remission was obtained.Among them, case 2 developed cytokine release syndrome and immune effector cell-related neurotoxicity syndrome after treatment, which was improved after drug intervention.It is suggested that CD 19 CAR-T cells are effective in the treatment of ITR in children, which may be an alternative to orchiectomy or local radiotherapy for ITR in children with B-ALL.

Humans ; COVID-19 ; Consensus ; SARS-CoV-2 ; China

Objective: To evaluate the impact of KIT D816 mutation on the salvage therapy in relapsed acute myeloid leukemia (AML) with t(8;21) translocation. Method: The characteristics of the first relapsed AML with t(8;21) translocation from 10 hospitals were retrospectively collected, complete remission (CR(2)) rate after one course salvage chemotherapy and the relationship between KIT mutation and CR(2) rate was analyzed. Results: 68 cases were enrolled in this study, and 30 cases (44.1%) achieved CR(2). All patients received KIT mutation detection, and KIT D816 mutation was identified in 26 cases. The KIT D816 positive group had significantly lower CR(2) compared with non-KIT D816 group (23.1% vs 57.1%, χ(2)=7.559, P=0.006), and patients with longer CR(1) duration achieved significantly higher CR(2) than those with CR(1) duration less than 12 months (74.1% vs 31.9%, χ(2)=9.192, P=0.002). KIT D816 mutation was tightly related to shorter CR(1) duration. No significant difference of 2 years post relapse survival was observed between KIT D816 mutation and non-KIT D816 mutation group. Conclusion: KIT D816 mutation at diagnosis was an adverse factor on the salvage therapy in relapsed AML with t(8;21) translocation, significantly related to shorter CR1 duration, and can be used for prediction of salvage therapy response. KIT D816 mutation could guide the decision-making of salvage therapy in relapsed AML with t(8;21) translocation.
Antineoplastic Combined Chemotherapy Protocols ; Cytarabine ; Humans ; Leukemia, Myeloid, Acute/therapy* ; Prognosis ; Retrospective Studies ; Salvage Therapy

OBJECTIVETo explore the effect of costimulatory signaling molecules (CD80, CD86) expression on the quantity and function of B lymphocytes in peripheral blood (PB) of the patients with immune thrombocytopenia (ITP).

METHODSA total of 55 ITP patients (30 cases were newly diagnosed and 25 cases were in remission), 25 healthy volunteers as controls were enrolled in this study. The levels of CD19(+)CD5(+), CD19(+)CD80(+), CD19(+)CD86(+), CD41a(+)IgG, CD41a(+)IgM and IgG, IgM in CD19(+)B cells were measured by flow cytometry (FCM). The correlation of CD19(+)B cells with clinical parameters of ITP patients was analyzed.

RESULTSThe level of B1 (CD19(+)CD5(+)) of newly diagnosed ITP patients was significantly higher than that of remitted ITP patients and controls (P<0.05). The level of CD19(+)CD80(+) of newly diagnosed ITP patients was significantly higher than that of remitted ITP patients and controls (P<0.05). And the expression of IgG and IgM in CD19(+)B cells of newly diagnosed ITP patients was significantly higher than that of remitted ITP patients and controls (P<0.05). The levels of IgG and IgM in remitted ITP patients after treatment were significantly lower than that before treatment (P<0.05). The level differences of IgG and IgM before and after treatment in refractory ITP patients were not statistically significant (P>0.05). The expression of CD19(+)CD80(+) in newly diagnosed ITP patients positively correlated with the level of Th1 and Th1/Th2 (r=0.502, r=0.471, P<0.05). The expression of CD19(+)CD80(+) of newly diagnosed ITP patients positively correlated with the level of IgG and IgM in CD19(+)B cells (r=0.552, r=0.467, P<0.05), and negatively correlated with PB platelet count (r= -0.424, P<0.05). The levels of IgG and IgM in CD19(+)B cells of newly diagnosed ITP patients negati- vely correlated with PB platelet count (r=-0.658, r=-0.526, P<0.05).

CONCLUSIONThe enhacement of costimulatory signaling pathway of CD19(+)B cells in ITP patients results in the abnormal activation of B lymphocytes, thereby mediates the dysfunction of immune system and involves in the pathogenesis of ITP.

Objective To investigate the effect of depression symptoms on surgical outcome of posterior decompression among cervical spondylotic myelopathy (CSM) patients. Methods Between October 2006 and October 2011 in our hospital, lami?nectomy or laminoplasty was performed in 396 cases that were enrolled in the study. There were 132 males and 264 females with an average age of 60.2 years(ranged,39-84 years). All patients were divided into depression group and non?depressed group by the 21?item Beck Depression Inventory (BDI). There were no statistically significant differences between groups in age, sex, smok?ing status, duration of symptoms, and employment status (whether in the current working). The Japanese Orthopedic Association (JOA) scores, Neck disability index (NDI) and visual analogue scale (VAS) were compared after 1.5 months postoperatively. Re?sults All of 396 cases were followed up. The mean follow up duration was 32 months (range,24-50 months). There were no statistically significant differences in the CCI decline (7.1%±2.1% versus 6.8%±1.5%), expansion degree[(130.9±7.0) mm2 versus (150.8 ± 5.2) mm2] and the drift?back distance of the spinal cord [(5.7 ± 1.2) mm versus (6.2 ± 0.8) mm]. However, pa?tients with continuous depression showed poorer improvement than non?depressed patients in the surgery outcome: JOA im?proved (1.42±0.56 versus 6.76±3.12); NDI declined (7.31±2.18 versus 21.11±11.36); and VAS lightened (16.08±19.76 versus 23.85±20.79). Conclusion Depression contributed a dissatisfied surgery outcome after posterior decompression on functional re?covery, disability index and pain scores among patients of the cervical spondylotic myelopathy.