Vitrification cryopreservation technology converts the liquid water in biological samples into glassy solids through ultra-rapid cooling. In this review, the core research of vitrification cryopreservation technology was mainly reviewed, such as the optimization of cryoprotectant formulations, the improvements to temperature control methods, the innovative carrier designs and the improvements to rewarming technology. The application status and issues in the fields of organ preservation, tumor research, reproductive medicine and rare cell preservation were also summarized. By combining the technical principles with glassy state detection methods, a theoretical basis was provided for optimizing the technical system and expanding application scenarios, thereby promoting its large-scale application in clinical and biological sample libraries.

Objective:To reassess the pathogenicity of copy number variants (CNVs) involving chromosomal microdeletions and microduplications classified as variants of uncertain significance (VUS).Methods:This retrospective study analyzed 1 882 pregnant women who underwent invasive prenatal diagnosis for chromosomal microarray analysis (CMA) at the First Medical Center, Chinese PLA General Hospital between January 1, 2018, and December 31, 2022. The results were classified according to the American College of Medical Genetics and Genomics guidelines, with 82 fetuses rated as VUS selected for the study. We analyzed invasive prenatal diagnostic indications, followed up on fetal ultrasound findings, parental origin identification results, and pregnancy outcomes, and reclassified VUS CNVs based on the latest evidence. Descriptive statistical analysis was applied to the data.Results:(1) Among the 82 fetuses with VUS CNVs, prenatal diagnostic indications included fetal structural abnormalities detected by ultrasound (21 cases, 25.6%), abnormal non-invasive prenatal testing (NIPT) results (12 cases, 14.6%), high-risk serum screening (seven cases, 8.5%), advanced maternal age (≥35 years at expected delivery, 28 cases, 34.1%), and other indications (14 cases, 17.1%). Sixteen cases (19.5%) exhibited abnormal phenotypes, with seven pregnancies terminated due to severe structural abnormalities detected by prenatal ultrasound. Seventy-five live births were followed up for 25 (13-66) months. (2) Among the 82 cases, five fetuses had two VUS CNVs detected by CMA, while the remaining 77 had only one, totaling 87 VUS CNVs. Of these, 63 (72.4%) were chromosomal microduplications and 24 (27.6%) were chromosomal microdeletions. The size of the CNV segments ranged from 0.85 (0.05-5.61) Mb, with 82 segments less than 2 Mb. Parental origin identification was refused by 44 cases (53.7%), while 38 (46.3%) underwent the test, revealing eight (21.0%) de novo variants and 30 (78.9%) inherited from either parent (12 maternal and 18 paternal). (3) Among the 87 VUS CNVs, the ratings of 11 CNVs (12.6%) changed after re-evaluation. This included one 4p16.2 microdeletion and two 15q11.2 microdeletions being upgraded to pathogenic, one 16p13.11 microduplication being upgraded to likely pathogenic, one Xp22.31 microduplication and two 2q13 microdeletions being downgraded to likely benign, and four Xp22.31 microduplications being downgraded to benign. (4) Among the 16 fetuses with abnormal phenotypes, seven with prenatal abnormalities terminated pregnancies, including six with structural abnormalities and one with severe fetal growth restriction. After re-evaluation, one case was upgraded to pathogenic, while six remained VUS. Nine live births with postnatal abnormal phenotypes showed no change in classification after re-evaluation. Among the 66 cases (80.5%) without abnormal phenotypes, 10 had their classifications changed after re-evaluation. Conclusions:Fetuses with VUS CNVs often exhibit no significant abnormal phenotypes and have a relatively favorable prognosis, however, further floow-up is still needed. Parental origin identification can provide valuable insights for genetic counseling.

Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.

Objective:To assess the efficacy and safety profile of antaitasvir phosphate combined with yiqibuvir in the treatment of chronic hepatitis C (CHC) of various genotypes, without cirrhosis or with compensated cirrhosis.Methods:394 cases with CHC from 22 centers were collected from October 2021 to April 2023. They were randomly assigned to receive either the experimental drugs (antaitasvir phosphate 100 mg+yiqibuvir 600 mg) or placebo treatment in a 3∶1 ratio. The patients were administered drugs once a day for 12 consecutive weeks, and then followed up for 24 weeks after treatment cessation. All subjects were unblinded at the four-week follow-up following drug discontinuation, with the experimental drug group continuing to complete subsequent post-discontinuation follow-up. The placebo group was switched to receive the experimental drugs for a repeated 12-week treatment period and followed up for another 24 weeks after discontinuation of the drug (placebo delayed treatment phase).The sustained virologic response rate (SVR12) was observed for subjects in the double-blind phase and the placebo delayed-treatment phase at 12 weeks after treatment cessation.Virological resistance analysis was performed on subjects who failed treatment. The primary efficacy endpoint was SVR12. The number and percentage of subjects who achieved "HCV RNA

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

Objective:To investigate the regulatory role of the tumor suppressor gene ARID1A(AT-rich interaction domain 1A)in the proliferation of lung adenocarcinoma(LUAD)cells and its molecular mechanism associated with the protein kinase B(AKT)signaling pathway.Methods:Stable ARID1A-overexpressing A549/H1299 cell models were constructed via lentiviral transfection,with transfection efficiency validated by RT-PCR and Western blot.Cell viability was assessed using the CCK-8 assay,proliferation rate was evaluated using EdU staining,and migration capacity was analyzed by scratch assay.Cell death was evaluated through Calcein/PI live/dead staining and trypan blue exclusion.The phosphorylation level of AKT(p-AKT/AKT ratio)was detected by Western blot.The role of AKT in proliferation regulation was further validated by treating overexpressing cells with the AKT inhibitor MK-2206(1 μmol/L).Results:ARID1A overexpression significantly inhibited the proliferation and migration of A549/H1299 cells while upregulating p-AKT levels.MK-2206 treatment abolished the inhibitory effects of ARID1A overexpression on proliferation.Cell death assays demonstrated no significant impact of ARID1A overexpression on LUAD cell mortality.Conclusion:ARID1A specifically suppresses LUAD cell proliferation and migration by activating the AKT signaling pathway,suggesting that targeting AKT may provide a potential therapeutic strategy for LUAD patients with ARID1A deficiency.

Objective To investigate the effect and mechanism of melatonin in alleviating hypoxia-induced apoptosis in ovarian gra-nulosa cells.Methods Rat ovarian granulosa cells were isolated and divided into normoxic,hypoxic,and melatonin groups.Hypoxia-induced injury models were established in the hypoxic and melatonin groups,and granulosa cells in the melatonin group were treated with melatonin.A total of 24 rats were randomized into the control,model,and intervention groups(n=8 per group).Rat models of declining ovarian function induced by long-term hypoxia were established in the model and intervention groups.The rats in the intervention group were intraperitoneally injected with melatonin.Cell proliferation was measured using a CCK-8 assay,and lactate secretion and HIF-1αprotein with a specific kit,respectively.The levels of estradiol and progesterone in the cell supernatant and rat serum were detected using ELISA.Granulosa cell apoptosis was detected by flow cytometry,ovarian morphology by HE staining,and Bax and caspase-3 expression by Western blotting.Results Compared with the normoxic group,the hypoxic group exhibited decreased granulosa cell proliferation,increased apoptosis,elevated lactate and HIF-1α levels,and reduced estradiol and progesterone levels(P＜0.05).Compared with hypoxic group,these changes were significantly reversed in the molatonin group(P＜0.05).Compared with the control group,the model group showed increased lactate,HIF-1α,Bax,and caspase-3 levels,decreased estradiol and progesterone levels,and reduced follicles.Compared with the model group,all the indicators were ameliorated in the intervention group(P＜0.05).Conclusion Melatonin alleviated hypoxia-induced granulosa cell apoptosis and promoted the recovery of ovarian function.

Objective:To investigate the regulatory role of the tumor suppressor gene ARID1A(AT-rich interaction domain 1A)in the proliferation of lung adenocarcinoma(LUAD)cells and its molecular mechanism associated with the protein kinase B(AKT)signaling pathway.Methods:Stable ARID1A-overexpressing A549/H1299 cell models were constructed via lentiviral transfection,with transfection efficiency validated by RT-PCR and Western blot.Cell viability was assessed using the CCK-8 assay,proliferation rate was evaluated using EdU staining,and migration capacity was analyzed by scratch assay.Cell death was evaluated through Calcein/PI live/dead staining and trypan blue exclusion.The phosphorylation level of AKT(p-AKT/AKT ratio)was detected by Western blot.The role of AKT in proliferation regulation was further validated by treating overexpressing cells with the AKT inhibitor MK-2206(1 μmol/L).Results:ARID1A overexpression significantly inhibited the proliferation and migration of A549/H1299 cells while upregulating p-AKT levels.MK-2206 treatment abolished the inhibitory effects of ARID1A overexpression on proliferation.Cell death assays demonstrated no significant impact of ARID1A overexpression on LUAD cell mortality.Conclusion:ARID1A specifically suppresses LUAD cell proliferation and migration by activating the AKT signaling pathway,suggesting that targeting AKT may provide a potential therapeutic strategy for LUAD patients with ARID1A deficiency.

Objective To investigate the effect and mechanism of melatonin in alleviating hypoxia-induced apoptosis in ovarian gra-nulosa cells.Methods Rat ovarian granulosa cells were isolated and divided into normoxic,hypoxic,and melatonin groups.Hypoxia-induced injury models were established in the hypoxic and melatonin groups,and granulosa cells in the melatonin group were treated with melatonin.A total of 24 rats were randomized into the control,model,and intervention groups(n=8 per group).Rat models of declining ovarian function induced by long-term hypoxia were established in the model and intervention groups.The rats in the intervention group were intraperitoneally injected with melatonin.Cell proliferation was measured using a CCK-8 assay,and lactate secretion and HIF-1αprotein with a specific kit,respectively.The levels of estradiol and progesterone in the cell supernatant and rat serum were detected using ELISA.Granulosa cell apoptosis was detected by flow cytometry,ovarian morphology by HE staining,and Bax and caspase-3 expression by Western blotting.Results Compared with the normoxic group,the hypoxic group exhibited decreased granulosa cell proliferation,increased apoptosis,elevated lactate and HIF-1α levels,and reduced estradiol and progesterone levels(P＜0.05).Compared with hypoxic group,these changes were significantly reversed in the molatonin group(P＜0.05).Compared with the control group,the model group showed increased lactate,HIF-1α,Bax,and caspase-3 levels,decreased estradiol and progesterone levels,and reduced follicles.Compared with the model group,all the indicators were ameliorated in the intervention group(P＜0.05).Conclusion Melatonin alleviated hypoxia-induced granulosa cell apoptosis and promoted the recovery of ovarian function.

Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.