Objective Hippocampal atrophy is a clinically important marker for the diagnosis of many psychiatric disorders such as Alzheimer’s disease‚ so accurate segmentation of the hippocampus is an important scientific issue. With the development of deep learning‚ a large number of advanced automatic segmentation method have been proposed. However‚ 3D hippocampal segmentation is still challenging due to the effects of various noises in MRI and unclear boundaries between various classes of the hippocampus. Therefore‚ the aim of this paper is to propose new method to segment the hippocampal head‚ body‚ and tail more accurately. Methods To overcome these challenges‚ this paper proposed two strategies. One was the spatial and frequency domain features adaptive fusion strategy‚ which reduced the influence of noise on feature extraction by automatically selecting the appropriate frequency combination through fast Fourier transform and convolution. The other was an inter-class boundary region enhancement strategy‚ which allowed the network to focus on learning the boundary regions by weighting the loss function of the boundary regions between each class to achieve the goal of pinpointing the boundaries and regulating the size of the hippocampal head‚ body and tail. Results Experiments performed on a 50-case teenager brain MRI dataset show that our method achieves state-of-the-art hippocampal segmentation. Hippocampal head‚ body and tail had been improved compared to the existing method. Ablation experiments demonstrated the effectiveness of our two proposed strategies‚ and we also validated that the network had a strong generalization ability on a 260-case Task04_Hippocampus dataset. It was shown that the method proposed in this paper could be used in more hippocampal segmentation scenarios. Conclusion The method proposed in this paper can help clinicians to observe hippocampal atrophy more clearly and accomplish more accurate diagnosis and follow-up of the condition.

ObjectiveTriple-negative breast cancer (TNBC) is the breast cancer subtype with the worst prognosis, and lacks effective therapeutic targets. Colony stimulating factors (CSFs) are cytokines that can regulate the production of blood cells and stimulate the growth and development of immune cells, playing an important role in the malignant progression of TNBC. This article aims to construct a novel prognostic model based on the expression of colony stimulating factors-related genes (CRGs), and analyze the sensitivity of TNBC patients to immunotherapy and drug therapy. MethodsWe downloaded CRGs from public databases and screened for differentially expressed CRGs between normal and TNBC tissues in the TCGA-BRCA database. Through LASSO Cox regression analysis, we constructed a prognostic model and stratified TNBC patients into high-risk and low-risk groups based on the colony stimulating factors-related genes risk score (CRRS). We further analyzed the correlation between CRRS and patient prognosis, clinical features, tumor microenvironment (TME) in both high-risk and low-risk groups, and evaluated the relationship between CRRS and sensitivity to immunotherapy and drug therapy. ResultsWe identified 842 differentially expressed CRGs in breast cancer tissues of TNBC patients and selected 13 CRGs for constructing the prognostic model. Kaplan-Meier survival curves, time-dependent receiver operating characteristic curves, and other analyses confirmed that TNBC patients with high CRRS had shorter overall survival, and the predictive ability of CRRS prognostic model was further validated using the GEO dataset. Nomogram combining clinical features confirmed that CRRS was an independent factor for the prognosis of TNBC patients. Moreover, patients in the high-risk group had lower levels of immune infiltration in the TME and were sensitive to chemotherapeutic drugs such as 5-fluorouracil, ipatasertib, and paclitaxel. ConclusionWe have developed a CRRS-based prognostic model composed of 13 differentially expressed CRGs, which may serve as a useful tool for predicting the prognosis of TNBC patients and guiding clinical treatment. Moreover, the key genes within this model may represent potential molecular targets for future therapies of TNBC.

Lower-cost genotyping technology has promoted the generation of large genetic datasets with the evolving next-generation sequencing technology. The emergence of genome-wide association studies (GWAS) has facilitated researchers’ understanding of common complex diseases. GWAS refers to finding the sequence variations present in the human genome and screening out disease-related single nucleotide polymorphisms (SNPs). These SNPs are considered as the basis for assessing the stability of complex diseases. However, a single variation is not sufficient to assess an individual’s risk of disease. Polygenic risk score (PRS) is an emerging genetic data analysis method for quantitatively estimating an individual’s genetic risk for complex diseases by comprehensively considering multiple genetic variation sites. A single-value estimate of an individual’s genetic risk for a certain phenotype can be calculated as the cumulative impact of multiple genetic variants by building a PRS model. The finally expected risk score is weighted by the strength and direction of association of each SNP with the phenotype based on the number of alleles carried by each SNP. With the continuous development of various PRS calculation methods and the constant accumulation of genomic data, PRS has received widespread attention in the field of genetics. So far, quite a few studies at home and abroad have shown that PRS is valuable in risk prediction of different types of human traits or complex diseases, and its effectiveness has been further verified in clinical applications. At present, many studies have established PRS models based on GWAS summary statistics to quantify the genetic risk of susceptibility loci and clinical characteristics on diseases such as lung cancer, breast cancer, coronary heart disease, diabetes and Alzheimer’s disease. The disease-susceptible populations can be recognized through comparing the relative risk and absolute risk of the disease in different risk groups according to the population risk stratification results. Additionally, individual-level genotype data and omics data can also be used as data sources for PRS analysis research, especially the latter can dynamically reflect the short-term or long-term effects of environmental factors on human gene expression, and has potential application value in building early warning models to assess health risks. Since the calculation of PRS involves a large amount of genomic data analysis, there are big differences in the methods for data selection, model building and validation. Different PRS construction methods and software have different performances in disease risk prediction, and even the performance of same algorithm varies across diseases. It is worth noting that the PRS model often needs to be re-evaluated and verified for different groups of people, because PRS is affected by race and region. This review combines currently published PRS-related research and algorithms to describe the basic principles of PRS, compares their construction and verification methods, and discusses their applications and prospects. As a powerful genetic risk assessment tool, PRS has great potential in analyzing the genetic code of complex diseases and achieving precise diagnosis and personalized treatment.

Objective To evaluate the bioequivalence of a single oral dose of ritonavir in fasted and fed conditions in healthy Chinese adult subjects with the test and reference formulations.Methods A single-center,open-label,randomized,single-dose,two-periods,two-sequence crossover design was used,and 64 subjects were enrolled in both the fasted and fed groups.The subjects received 100 mg of the test preparation or reference preparation orally per cycle,and the drug concentration of ritonavir in plasma was detected using the high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method.Pharmacokinetic parameters were estimated by a non-compartment model,and SAS 9.4 software was used for statistical analysis.Results Arithmetic mean values of the main pharmacokinetic parameters of the subject formulation of ritonavir tablets and the reference formulation in the fasting group:Cmax were(791.90±400.20)and(809.60±449.14)ng·mL-1;AUC0_t were(6 072.61±2 631.98)and(6 296.30±3 388.95)ng·h·mL-1;AUC0-∞ were(6 129.59±2 655.57)and(6 347.26±3 434.12)ng·h·mL-1,respectively.Arithmetic mean values of the main pharmacokinetic parameters of the subject formulation of ritonavir tablets and the reference formulation in the fed group:Cmax were(512.37±233.60)and(521.74±223.87)ng·mL-1;AUC0_t were(4 203.43±2 221.33)and(4 200.13±1 993.50)ng·h·mL-1;AUC0_∞ were(4 259.21±2 266.88)and(4 259.63±2 044.12)ng·h·mL-1.The 90％confidence intervals for the geometric mean ratios of Cmax,AUC0_t and AUC0_∞ of the prototype drug ritonavir in plasma after oral administration of 100 mg of the test and reference formulations of ritonavir tablets under fasting and fed conditions fell within the 80.00％to 125.00％equivalence interval.Conclusion The test and reference formulations of ritonavir tablets were bioequivalent under fasting and postprandial conditions.

Objective:To explore the expressions of zinc homeostasis-related proteins,G protein-coupled receptor 39(GPR39)and ANO1 mRNA in the sperm of patients with asthenozoospermia(AS),and analyze their correlation with sperm motility.Methods:We collected semen samples from 82 male subjects with PR+NP＜40％,PR＜32％and sperm concentration＞15 × 106/ml(the AS group,n=40)or PR+NP≥40％,PR≥32％and sperm concentration＞15 × 106/ml(the normal control group,n=42).We analyzed the routine semen parameters and measured the zinc content in the seminal plasma using the computer-assisted sperm analysis system,detected the expressions of zinc transporters(ZIP13,ZIP8 and ZNT10),metallothioneins(MT1G,MT1 and MTF),GPR39,and calcium-dependent chloride channel protein(ANO1)in the sperm by real-time quantitative PCR(RT qPCR),examined free zinc distribution in the sperm by laser confocal microscopy,and determined the expressions of GPR39 and MT1 proteins in the sperm by immunofluorescence staining,followed by Spearman rank correlation analysis of their correlation with semen parameters.Results:There was no statistically significant difference in the zinc concentration in the seminal plasma between the AS and normal control groups(P＞0.05).Compared with the controls,the AS patients showed a significantly reduced free zinc level(P＜0.05),relative expressions of MT1G,MTF,ZIP13,GPR39 and ANO1 mRNA(P＜0.05),and that of the GPR39 protein in the AS group(P＜0.05).No statistically significant differences were observed in the relative expression levels of ZIP8,ZNT10 and MT1 mRNA between the two groups(P＞0.05).The relative expression levels of GPR39,ANO1,MT1G and MTF mRNA were positively correlated with sperm motility and the percentage of progressively motile sperm(P＜0.05).Conclusion:The expressions of zinc homeostasis proteins(MT1G,MTF and ZIP13),GPR39 and ANO1 mRNA are downregulated in the sperm of asthenozoospermia pa-tients,and positively correlated with sperm motility.

Aim To observe whether the mechanosensitive ion channel Piezo1 was involved in the senescence of atrial fibroblasts by activating β-catenin based on our previous study which found marked increase of Piezo1 mRNA in senescent atrial fibroblasts. Methods Primary mouse atrial fibroblasts (MAFs) were isolated from male C57BL/6 mice (3-4 weeks) by enzyme digestion, and tert-butyl hydroperoxide (TBHP) was used to induce the senescence of cells. The ratio of senescent cells was detected by senescence-associated β-galactosidase (SA-β-Gal) staining. The protein levels of Piezo1, β-catenin/p-β-catenin, senescence-associated proteins p53 and p21 in the cells treated with TBHP (100 μmol · L

Galectin-3 (Gal-3) belongs to the galectin family and is specific in binding β-galactoside. Through its C-terminal domain, Gal-3 binds to the galactoside group of the glycosylated insulin receptor (IR) and inhibits IR signaling pathway, which leads to the insulin resistance. Thus, Gal-3 is a potential therapeutic target for the treatment of insulin resistance and type 2 diabetes. Here we report a simple Gal-3 screening model based on the property that Gal-3 binds to the galactoside. We expressed and purified human Gal-3 in Escherichia coli (E.coli), and labeled it with fluorescein isothiocyanate (FITC) in vitro. After incubating FITC labeled Gal-3 (Gal-3-FITC) with PANC-1 cells, which express glycosylated membrane protein, PANC-1 cells started to show green fluorescent signal due to the Gal-3-FITC binding to the glycosylated membrane protein. Gal-3 inhibitor disrupts the binding of Gal-3-FITC and PANC1 cells, subsequently leads to the decrease of the fluorescent signal in PANC-1 cells. We can evaluate the inhibitory efficiency of Gal-3 inhibitors through measurement of the fluorescent signal. Further studies show this model is simple, stable, and repeatable with a Z' factor between 0.7 and 0.85. In sum, we have successfully established an in vitro high-throughput screening model for Gal-3 inhibitors.

OBJECTIVE: To analyze the flow immunophenotype and clinical characteristics of leukemia patients with positive SET-CAN fusion gene. METHODS: A total of 7 newly diagnosed acute leukemia patients with SET-CAN fusion gene admitted to Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology from February 2016 to February 2020 were collected. Multiplex reverse transcriptase-polymerase chain reaction (RT-PCR) was used to detect the expression of SET-CAN fusion gene. The immunophenotype was detected by four-color flow cytometry. The case information of 17 literatures published at home and abroad was extracted for statistical analysis. RESULTS: Among the 7 patients, 2 cases were diagnosed as mixed phenotype acute leukemia (MPAL), 2 cases as acute myeloid leukemia (AML), and 3 cases as T-acute lymphoblastic leukemia (ALL)/lymphoblastic lymphoma (LBL). Leukemia cells in bone marrow specimens of all cases expressed or partially expressed CD34, CD33 and CD7. CD5 and cytoplasmic CD3 were expressed in 5 patients except 2 patients diagnosed with AML. Bone marrow and lymph node specimens were both detected in 2 patients, and the immunophenotypes of the two specimens were not completely consistent, with differences in lineage or maturity related markers. Two patients with MPAL showed differentiated response to treatment. One AML patient gave up treatment, and another AML patient with FLT3-ITD gene mutation had a poor prognosis. All three T-ALL/LBL patients maintained a long duration of remission after induced remission, and one case underwent allogeneic hematopoietic stem cell transplantation. CONCLUSIONS There are common characteristics of immunophenotype in patients with positive SET-CAN fusion gene. Differential expression of immunophenotype in samples from different parts is observed in some cases. The prognosis of these diseases varies.
Humans ; Leukemia, Myeloid, Acute/pathology* ; Bone Marrow/pathology* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Antigens, CD34 ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma ; Immunophenotyping

OBJECTIVE: To evaluate the associations of lipid indicators and mortality in Beijing Elderly Comprehensive Health Cohort Study. METHODS: A prospective cohort was conducted based on Beijing Elderly Comprehensive Health Cohort Study with 4499 community older adults. After the baseline survey, the last follow-up was March 31, 2021 with an average 8.13 years of follow-up. Cox proportional hazard model was used to estimate the hazard ratios (HR) with 95% CI for cardiovascular disease (CVD) death and all-cause death in associations with baseline lipid indicators. RESULTS: A total of 4499 participants were recruited, and the mean levels of uric acid, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol (TC), triglyceride, and low-density lipoprotein cholesterol (LDL-C) showed an upward trend with the increasing remnant cholesterol (RC) quarters (P_trend < 0.05), while the downward trend was found in high-density lipoprotein cholesterol (HDL-C). During the total 36,596 person-years follow-up, the CVD mortality and all-cause mortality during an average 8.13 years of follow-up was 3.87% (95% CI: 3.30%-4.43%) and 14.83% (95% CI: 13.79%-15.86%) with 174 CVD death participants and 667 all-cause death participants. After adjusting for confounders, the higher level of TC (HR = 0.854, 95% CI: 0.730-0.997), LDL-C (HR = 0.817, 95% CI: 0.680-0.982) and HDL-C (HR = 0.443, 95% CI: 0.271-0.724) were associated with lower risk of CVD death, and the higher level of HDL-C (HR = 0.637, 95% CI: 0.501-0.810) were associated with lower risk of all-cause death. The higher level of RC (HR = 1.276, 95% CI: 1.010-1.613) increase the risk of CVD death. Compared with the normal lipid group, TC ≥ 6.20 mmol/L group and LDL-C ≥ 4.10 mmol/L group were no longer associated with lower risk of CVD death, while RC ≥ 0.80 mmol/L group was still associated with higher risk of CVD death. In normal lipid group, the higher levels of TC, LDL-C and HDL-C were related with lower CVD death. CONCLUSIONS In community older adults, higher levels of TC and HDL-C were associated with lower CVD mortality in normal lipid reference range. Higher RC was associated with higher CVD mortality, which may be a better lipid indicator for estimating the CVD death risk in older adults.

AIM: To observe the clinical outcomes of femtosecond laser-assisted cataract phacoemulsification combined with anterior vitrectomy in the treatment of pediatric cataracts.METHODS: Retrospective study. A total of 10 patients(17 eyes)diagnosed as pediatric cataract in Foshan Aier Eye Hospital from January 2021 to September 2022 were collected, including 5 males(9 eyes)and 5 females(8 eyes), with an age of 3～9(4.50±1.20)years old. All children underwent femtosecond laser assisted phacoemulsification combined with anterior vitrectomy. The visual acuity, intraocular pressure and pigment deposits of intraocular lens(IOL)surface, synechia and hyperplasia of posterior capsule lens at 1wk, 1 and 6mo postoperatively were observed during the 6mo follow-up.RESULTS: All surgical procedures were successful, and there was no serious complication intraoperatively or postoperatively. BCVA(LogMAR)was 0.63±0.18 preoperatively and 0.42±0.10, 0.32±0.09, and 0.22±0.08 at 1wk, 1 and 6mo postoperatively(all P<0.001). There was no difference in the comparison of intraocular pressure at different times of surgery(P=0.125). There was no statistically significant difference in the incidence of IOL surface pigment deposits, synechia, and posterior capsule lens hyperplasia at different times after surgery(P>0.05). The incidence of IOL surface pigment deposits at 1wk, 1 and 6mo after surgery was 3 eyes(18%), 1 eye(6%), and 1 eye(6%), respectively, the incidence of synechia was 0 eye, 1 eye(6%), 2 eyes(12%), and the incidence of posterior capsule lens hyperplasia was 0 eye, 0 eye, and 2 eyes(12%), respectively.CONCLUSION: Femtosecond laser-assisted cataract phacoemulsification combined with vitrectomy for the removal of the anterior vitreous can effectively prevent anterior capsular tear and the occurrence of posterior capsule opacification.