ObjectiveFor prepubertal and urgently treated malignant tumor patients, ovarian tissue cryopreservation and transplantation represent more appropriate fertility preservation methods. Current clinical practices often involve freezing ovarian tissue with high concentrations of cryoprotectants (CPAs) and thawing with water baths. These processes lead to varying degrees of toxicity and devitrification damage to ovarian tissue. Therefore, this paper proposes optimized methods for vitrification of ovarian tissues based on sodium alginate hydrogel encapsulation and magnetic induction nanowarming technology. MethodsFirstly, the study investigated the effects of sodium alginate concentration, the sequence of hydrogel encapsulation and CPAs loading on vitrification efficiency of encapsulated ovarian tissue. Additionally, the capability of sodium alginate hydrogel encapsulation to reduce the required concentration of CPAs was validated. Secondly, a platform combining water bath and magnetic induction nanowarming was established to rewarm ovarian tissue under various concentrations of magnetic nanoparticles and magnetic field strengths. The post-warming follicle survival rate, antioxidant capacity, and ovarian tissue integrity were evaluated to assess the efficacy of the method. ResultsThe study found that ovarian tissue encapsulated with 2% sodium alginate hydrogel exhibited the highest follicle survival rate after vitrification. The method of loading CPAs prior to encapsulation proved more suitable for ovarian tissue cryopreservation, effectively reducing the required concentration of CPAs by 50%. A combination of 8 g/L Fe₃O₄ nanoparticles and an alternating magnetic field of 300 Gs showed optimal warming effectiveness for ovarian tissue. Combining water bath rewarming with magnetic induction nanowarming yielded the highest follicle survival rate, enhanced antioxidant capacity, and preserved tissue morphology. ConclusionSodium alginate hydrogel encapsulation of ovarian tissue reduces the concentration of CPAs required during the freezing process. The combination of magnetic induction nanowarming with water bath provides an efficient method ovarian tissue rewarming. This study offers novel approaches to optimize ovarian tissues vitrification.

Objective To investigate the characteristics of imprinted differentially methylated regions (iDMRs) in placentas and their correlation with preeclampsia (PE). Methods A total of 43 healthy pregnant women (control group) and 33 pregnant women with PE (PE group) at Shanghai Putuo Maternity and Infant Hospital and International Peace Maternal and Child Health Hospital, Shanghai Jiao Tong University School of Medicine from September 2021 to September 2023 were selected. A total of 3 362 CpG sites in 62 iDMRs were analyzed in 76 placenta and 5 maternal blood samples using BisCap targeted bisulfite resequencing (BisCap-seq) assays. The CpG sites in the CpG islands of the iDMRs were assessed for their methylation levels and methylation linkage disequilibrium (MLD). Imprinted methylation haplotype blocks (iMHBs) were constructed based on MLD. The methylation levels and variablility of CpG sites and iMHBs were compared among the healthy placenta, PE placenta and blood samples. Results The CpG sites in the CpG islands of the iDMRs exhibited intermediate methylation, with adjacent sites displaying high MLD (methylation levels: 0.35-0.65, D’ ＞ 0.8). A total of 185 iMHBs were constructed using these coupled CpG sites, 60 placenta-specific iMHBs and 38 somatic iMHBs were found to be differentially methylated in the placenta compared with maternal blood (P_adj＜0.05). Twenty-seven iMHBs were identified with differentially variable methylation patterns in the placenta. The iMHBs methylation was unchanged in the PE placentas compared to the healthy placentas. Twenty-seven differentially methylated cytosines (DMCs) were identified outside the iMHBs structure, among which the methylation levels of 19 CpG sites showed statistically significant differences between the PE group and the control group (P_adj＜0.05). The quantitative results of placental compositions of maternal plasma cell-free DNA (cfDNA) using placenta-specific haplotype (PSH) were highly correlated with those estimated by a deconvolution methodology (r＝0.973, P＜0.01). Conclusions The genomic imprinting features in the PE placentas were obvious, and PSH could be a potential marker of the placenta to quantify the placental compositions of maternal plasma cfDNA.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

The writing of pharmacist-managed clinics documents （hereinafter referred to as “outpatient medication record”） is a necessary part of pharmacist-managed clinics service. Outpatient medication record is an important carrier to reflect the quality of pharmacist-managed clinics service. The Chinese Hospital Association Pharmaceutical Specialized Committee was entrusted by the Pharmaceutical Administration Department of the National Health Commission to lead the formulation of the Guidelines for the Pharmacist-managed Clinics Service and Document Writing and Usage （Reference） （hereinafter referred to as Guidelines） according to the compilation method of group standards and the technical route of “documentation combing→framework establishment→draft writing→opinion collection→Guidelines formation”. The Guidelines standardizes the basic requirements of pharmacist-managed clinics record management and the basic content of record， and provides a general template and two specialized templates including pregnant and lactating pharmacist-managed clinics record template and cough and asthma pharmacist-managed clinics record template， which provides a reference for medical institutions to write pharmacist-managed clinics record. This paper introduces the formulation process of Guidelines and analyzes the key contents of Guidelines， which is helpful for the application practice of Guidelines and further improves the quality of pharmacist-managed clinics work.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

Objective To explore risk factors for cardiac valve calcification (CVC) in maintenance hemodialysis (MHD) patients and evaluate its impact on cardiovascular events and mortality. Methods Retrospective selection of 223 patients with MHD admitted to the Department of Nephrology of Jinshan Hospital, Fudan University from June 30, 2019 to June 30, 2024, and enrollment completed within one week of June 30, 2019. Patients were divided into CVC and non-CVC groups. Baseline data and 5-year follow-up data were collected. The binary logistic regression analysis was performed to explore the risk factors for CVC. Kaplan-Meier survival curve was used to analyze the survival rate of patients. Cox proportional hazard regression model was applied to evaluate the impact of CVC on the survival rates of MHD patients. Results Totally, 223 MHD patients with an average age of (58.4±13.5) years and an average dialysis duration of (64.0±55.4) months were involved. Among them, 136(61.0%) were males, 117(52.5%) were complicated with CVC. Age, dialysis duration, diabetic kidney disease (DKD), the serum corrected total calcium and phosphate, intact parathyroid hormone (iPTH), high-sensitive C-reactive protein (hsCRP), and homocysteine (Hcy) were independent related factors for CVC (P＜0.05). Both all-cause mortality (46.6% vs 28.7%) and cardiovascular mortality (33.3% vs 16.0%) were significantly higher in the CVC group than those in the non-CVC group (P＜0.01). Conclusions Age, dialysis duration, the primary disease, calcium and phosphate, and inflammation- and nutrition-related serum indicators are associated with CVC in MHD patients. CVC significantly increases mortality risk of MHD patients.

BACKGROUND: Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic inflammation and joint destruction. Iguratimod (IGU) is a novel conventional synthetic disease-modifying antirheumatic drugs (csDMARD) with good efficacy and safety for the treatment of active RA in China and Japan. However, the long-term effects of IGU on the progression of bone destruction or radiographic progression in patients with active RA remain unknown. We aimed to investigate the efficacy and safety of iguratimod (IGU), a combination of methotrexate (MTX) and IGU, and IGU in patients with active rheumatoid arthritis (RA) who were naïve to MTX. METHODS: This multicenter, double-blind, randomized, non-inferiority clinical trial was conducted at 28 centers for over 52 weeks in China. In total, 911 patients were randomized (1:1:1) to receive MTX monotherapy (10-15 mg weekly, n = 293), IGU monotherapy (25 mg twice daily, n = 297), or IGU + MTX (10-15 mg weekly for MTX and 25 mg twice daily for IGU, n = 305) for 52 weeks. The patients' clinical characteristics, Simplified Disease Activity Index (SDAI), Clinical Disease Activity Index (CDAI), disease activity score in 28 joints-C-reactive protein (DAS28-CRP) level, and disease activity score in 28 joints-erythrocyte sedimentation rate (DAS28-ESR) were assessed at baseline. The primary endpoints were the proportion of patients with ≥20% improvement according to the American College of Rheumatology (ACR20) response and changes in the van der Heijde-modified total Sharp score (vdH-mTSS) at week 52. RESULTS: The proportions of patients achieving an ACR20 response at week 52 were 77.44%, 77.05 %, and 65.87% for IGU monotherapy, IGU + MTX, and MTX monotherapy, respectively. The non-inferiority of IGU monotherapy to MTX monotherapy was established with the ACR20 (11.57%; 95% confidence interval [CI], 4.35-18.79%; P <0.001) and vdH-mTSS (-0.37; 95% CI, -1.22-0.47; P = 0.022). IGU monotherapy was also superior to MTX monotherapy in terms of ACR20 ( P = 0.002) but not the vdH-mTSS. The superiority of IGU + MTX over MTX monotherapy was confirmed in terms of the ACR20 (11.18%; 95% CI, 3.99-18.37%; P = 0.003), but not in the vdH-mTSS (-0.68; 95% CI, -1.46-0.11; P = 0.091). However, the difference in the incidence rates of adverse events was not statistically significant. CONCLUSIONS: IGU monotherapy/IGU + MTX showed a more favorable clinical response than did MTX monotherapy. IGU may have some clinical benefits over MTX in terms of radiographic progression, implying that IGU may be considered as an initial therapeutic option for patients with active RA. TRIAL REGISTRATION https://classic.clinicaltrials.gov/ , NCT01548001.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Antirheumatic Agents/therapeutic use* ; Arthritis, Rheumatoid/drug therapy* ; Chromones/adverse effects* ; Double-Blind Method ; Drug Therapy, Combination ; Methotrexate/adverse effects* ; Treatment Outcome ; Sulfonamides