Objective:To analyze the clinical phenotype and gene mutation of a genetic coagulation factor Ⅻ(FⅫ)deficiency pedigree and explore the molecular pathogenesis.Methods:The activated partial thromboplastin time(APTT)and FⅫ activity(FⅫ:C)were detected by clotting method.The FⅫ antigen(FⅫ:Ag)was tested with ELISA.All exons and flanks of F12 gene were determined by Sanger sequencing.ClustalX-2.1-win,PROVEAN and Swiss-Pdb Viewer software were used to analyze the conservatism of amino acids at the mutant site,forecast whether the mutant amino acids were harmful and confirm the influence of the mutation on protein structure.Results:The APTT of the proband prolonged to 71.3 s.The FⅫ:C and FⅫ;Ag were decreased to 5％and 6％,respectively.There were two heterozygous missense mutations c.580G＞T and c.1681G＞A detected in exon 7 and exon 14 of F12 gene,resultingin p.Gly175Cys and p.Gly542Ser,severally.Proband's father carried the p.Gly175Cys heterozygous mutation,while mother,brother and daughter had the p.Gly542Ser heterozygous mutation.Software analysis showed that both Gly175 and Gly542 were conserved,the two mutations were harmful and when mutations had occurred,the corresponding sites affected the protein local structure.Conclusion:The p.Gly175Cys and p.Gly542Ser compound heterozygous mutations are the molecular pathogenesis of the hereditary coagulation FⅫ deficiency pedigree.The p.Gly175Cys mutation has been detected for the first time in the world.

Objective:To construct a prediction model for the operation quality of medical equipment based on mutual information particle swarm optimization(PSO)-long short-term memory(LSTM)neural network to assist the intelligent management of diagnosis and treatment equipment for chronic respiratory diseases.Methods:The basic data,usage data,maintenance data and performance data of equipment were collected for denoising and standardized processing,and a PSO-LSTM prediction model was constructed,and intelligent management plans for equipment use,maintenance,repair and scrapping were formulated.A total of 139 medical equipment in clinical use in the Respiratory Department of the People's Hospital of Xinjiang Uygur Autonomous Region from August 2019 to July 2023 was selected.67 devices from August 2019 to July 2021 adopted the experience management mode,and 72 devices from August 2021 to July 2023 adopted the intelligent management mode.The prediction accuracy of traditional recurrent neural network(RNN),LSTM neural network model training and test set,and PSO-LSTM neural network model were calculated.The equipment management quality of the two management modes and the satisfaction of equipment operators,technical support personnel,patients and their families with the two management modes were compared.Results:The mean absolute percentage error(MAPE)and root mean square error(RMSE)values of the prediction accuracy of the PSO-LSTM model training set are 0.014 and 0.008,respectively,and the test set is 0.032 and 0.018,respectively,both lower than RNN and RMSE.The failure rate,start-up rate,management cost increase,maintenance implementation rate and scrap compliance rate of the intelligent management mode were(0.99±0.85)times/year,(95.74±2.16)%,(1.72±1.28)%,(96.49±1.97)%and(97.59±1.49%),respectively,and the increase of fault frequency and management cost were lower than those of the experience management mode,while the start-up rate,maintenance implementation rate and scrap compliance rate were than those of the experience management mode,the difference was statistically significant(t=3.297,3.469,2.394,4.187,3.503,P<0.05).The satisfaction scores of equipment operators and technical support personnel and patients and their families on the performance,operating quality,management method,management cost and diagnosis and treatment effect of the equipment of the intelligent management mode were(94.73±1.85),(93.38±3.15),(93.48±2.02),(94.35±2.34)and(95.14±2.07),respectively,which were all higher than those of the experience management,the difference was statistically significant(t=4.131,3.827,5.716,3.430,3.173,P<0.05).Conclusion:PSO-LSTM neural network prediction model can more accurately evaluate the operating status of medical equipment,improve the clinical operation quality of medical equipment and improve clinical service satisfaction.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Chemotherapy-induced complications, particularly lethal cardiovascular diseases, pose significant challenges for cancer survivors. The intertwined adverse effects, brought by cancer and its complication, further complicate anticancer therapy and lead to diminished clinical outcomes. Simple supplementation of cardioprotective agents falls short in addressing these challenges. Developing bi-functional co-therapy agents provided another potential solution to consolidate the chemotherapy and reduce cardiac events simultaneously. Drug repurposing was naturally endowed with co-therapeutic potential of two indications, implying a unique chance in the development of bi-functional agents. Herein, we further proposed a novel "trilogy of drug repurposing" strategy that comprises function-based, target-focused, and scaffold-driven repurposing approaches, aiming to systematically elucidate the advantages of repurposed drugs in rationally developing bi-functional agent. Through function-based repurposing, a cardioprotective agent, carvedilol (CAR), was identified as a potential neddylation inhibitor to suppress lung cancer growth. Employing target-focused SAR studies and scaffold-driven drug design, we synthesized 44 CAR derivatives to achieve a balance between anticancer and cardioprotection. Remarkably, optimal derivative 43 displayed promising bi-functional effects, especially in various self-established heart failure mice models with and without tumor-bearing. Collectively, the present study validated the practicability of the "trilogy of drug repurposing" strategy in the development of bi-functional co-therapy agents.

Objective To investigate the relationship of miRNA gene polymorphisms with blood pressure(BP)responses to the sodium and potassium diet intervention.Methods In 2004,we recruited 514 participants from 124 families in seven villages of Baoji,Shaanxi Province,China.All subjects were given a three-day normal diet,followed by a seven-day low-salt diet,a seven-day high-salt diet,and finally a seven-day high-salt and potassium supplementation.A total of 19 miRNA single nucleotide polymorphisms(SNPs)were selected for analysis.Results Throughout the sodium-potassium dietary intervention,the BP of the subjects fluctuated across all phases,showing a decrease during the low-salt period and an increase during the high-salt period,followed by a reduction in BP subsequent to potassium supplementation during the high-salt diet.MiR-210-3p SNP rs 12364149 was significantly associated with systolic BP(SBP),diastolic BP(DBP)and mean arterial pressure(MAP)responses to low-salt diet.MiR-4638-3p SNP rs6601178 was significantly associated with SBP while miR-26b-3p SNP rs115254818 was significantly associated with MAP responses to low-salt intervention.In addition,miR-26b-3p SNP rs115254818 was significantly correlated with SBP,DBP and MAP responses to high-salt intervention.MiR-1307-5p SNPs rs1 1191676 and rs2292807 were associated with SBP and MAP responses to high-salt diet.MiR-4638-3p SNP rs6601178,miR-210-3p SNP rs12364149,miR-382-5p SNP rs4906032 and rs4143957 were significantly associated with SBP response to high-salt diet.In addition,miR-26b-3p SNP rs115254818 was significantly associated with SBP,DBP and MAP responses to potassium supplementation.MiR-1307-5p SNPs rs11191676,rs2292807,and miR-19a-3p SNP rs4284505 were significantly associated with SBP responses to high-salt and potassium supplementation.Conclusion miRNA gene polymorphisms are associated with BP response to sodium and potassium,suggesting that miRNA genes may be involved in the pathophysiological process of salt sensitivity and potassium sensitivity.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

The incidence of myopia is increasing year by year and the trend of younger age is obvious. The situation of myopia prevention and control is very serious. The sclera is the target organ for the development of myopia. When myopia occurs and develops, the ultrastructure of the sclera tissue will undergo pathological changes, resulting in a decrease in its tensile strength, then progressive axial growth and posterior sclera expansion. Scleral collagen cross-linking can effectively increase the hardness and tensile strength of scleral tissue, which may have great potential in the prevention and control of myopia, especially pathological myopia. At present, the effectiveness of scleral collagen cross-linking technology in the prevention and treatment of pathological myopia researches are still in the stage of animal experiments, and there are a lot of controversies on the safety. The development of any new technology to ensure safety is the primary condition. A comprehensive understanding of the safety of scleral collagen crosslinking in the prevention and control of myopia can provide more basis and guidance for the further study of scleral collagen crosslinking.

OBJECTIVE: To investigate whether anti-phosphatidylserine/prothrombin antibodies and its IgG or IgM subtypes were correlated with unexplained recurrent miscarriages. METHODS: In our a single-center retrospective study, 283 patients with at least one unexplained miscarriage who visited the Third Hospital of Peking University between January 2021 and August 2023, aged between 18-40 years, and tested for anti-phosphatidylserine/prothrombin antibodies IgG or IgM subtypes, were included. The patients with either positive IgG or IgM anti-phosphatidylserine/prothrombin antibody were regarded as positive for anti-phosphatidylserine/prothrombin antibody. SPSS 26.0 software was used for statistical analysis. Chi-square test and Logistic regression analysis were used to study the correlation of anti-phosphatidylserine/prothrombin antibodies and its IgG or IgM subtypes with unexplained recurrent miscarriages. And the diagnostic sensitivity, specificity, the positive predictive value, the negative predictive value of anti-phosphatidylserine/prothrombin antibodies and its IgG or IgM subtypes in unexplained miscarriages was calculated with four-fold table. RESULTS: Chi-square analysis showed that anti-phosphatidylserine/prothrombin antibodies and its IgM subtypes were correlated with recurrent miscarriages (both P < 0.05), while the IgG subtype was not correlated with recurrent miscarriages (P>0.05). After adjusting with anticardiolipin antibodies, anti-β₂ glycoprotein antibodies, lupus anticoagulants, antinuclear antibodies, and age by Logistic regression analysis, anti-phosphatidylserine/prothrombin antibodies were correlated with unexplained recurrent miscarriages (OR=2.084, 95%CI 1.045-4.155, P < 0.05), and anti-phosphatidylserine/prothrombin antibody IgM subtypes were correlated with unexplained recurrent miscarriages (OR=2.368, 95%CI 1.187-4.722, P < 0.05).The sensitivity of anti-phosphatidylserine/prothrombin antibody in recurrent miscarriage was 65.43%, the specificity was 48.51%, the positive predictive value was 33.76%, and the negative predictive value was 77.78%. In the patients with recurrent miscarriages with negative classical antiphospholipid antibodies, the sensitivity of anti-phosphatidylserine/prothrombin antibody was 59.09%, the specificity was 63.23%, the positive predictive value was 40.63%, and the negative predictive value was 78.40%. The sensitivity of the anti-phosphatidylserine/prothrombin antibody IgM subtype for the diagnosis of recurrent miscarriage was 65.43%, the specificity was 50.99%, the positive predictive value was 34.87%, and the negative predictive value was 78.63%. CONCLUSION Anti-phosphatidylserine/prothrombin antibody and IgM subtype antibody are correlated with unexplained recurrent miscarriages in patients with at least one unexplained miscarriage. Whether positive anti-phosphatidylserine/prothrombin antibody or IgM subtype could predict future unexplained recurrent miscarriages warrants a prospective study.
Pregnancy ; Female ; Humans ; Adolescent ; Young Adult ; Adult ; Prothrombin ; Retrospective Studies ; Phosphatidylserines ; Prospective Studies ; beta 2-Glycoprotein I ; Antibodies, Antiphospholipid ; Antiphospholipid Syndrome/diagnosis* ; Antibodies, Anticardiolipin ; Abortion, Habitual ; Immunoglobulin G ; Immunoglobulin M

OBJECTIVE: To observe the effect of amygdalin on liver fibrosis in a liver fibrosis mouse model, and the underlying mechanisms were partly dissected in vivo and in vitro. METHODS: Thirty-two male mice were randomly divided into 4 groups, including control, model, low- and high-dose amygdalin-treated groups, 8 mice in each group. Except the control group, mice in the other groups were injected intraperitoneally with 10% carbon tetrachloride (CCl₄)-olive oil solution 3 times a week for 6 weeks to induce liver fibrosis. At the first 3 weeks, amygdalin (1.35 and 2.7 mg/kg body weight) were administered by gavage once a day. Mice in the control group received equal quantities of subcutaneous olive oil and intragastric water from the fourth week. At the end of 6 weeks, liver tissue samples were harvested to detect the content of hydroxyproline (Hyp). Hematoxylin and eosin and Sirius red staining were used to observe the inflammation and fibrosis of liver tissue. The expressions of collagen I (Col-I), alpha-smooth muscle actin (α-SMA), CD31 and transforming growth factor β (TGF-β)/Smad signaling pathway were observed by immunohistochemistry, quantitative real-time polymerase chain reaction and Western blot, respectively. The activation models of hepatic stellate cells, JS-1 and LX-2 cells induced by TGF-β1 were used in vitro with or without different concentrations of amygdalin (0.1, 1, 10 µmol/L). LSECs. The effect of different concentrations of amygdalin on the expressions of liver sinusoidal endothelial cells (LSECs) dedifferentiation markers CD31 and CD44 were observed. RESULTS: High-dose of amygdalin significantly reduced the Hyp content and percentage of collagen positive area, and decreased the mRNA and protein expressions of Col-I, α-SMA, CD31 and p-Smad2/3 in liver tissues of mice compared to the model group (P<0.01). Amygdalin down-regulated the expressions of Col-I and α-SMA in JS-1 and LX-2 cells, and TGFβ R1, TGFβ R2 and p-Smad2/3 in LX-2 cells compared to the model group (P<0.05 or P<0.01). Moreover, 1 and 10 µmol/L amygdalin inhibited the mRNA and protein expressions of CD31 in LSECs and increased CD44 expression compared to the model group (P<0.05 or P<0.01). CONCLUSIONS Amygdalin can dramatically alleviate liver fibrosis induced by CCl₄ in mice and inhibit TGF-β/Smad signaling pathway, consequently suppressing HSCs activation and LSECs dedifferentiation to improve angiogenesis.
Rats ; Male ; Mice ; Animals ; Transforming Growth Factor beta/metabolism* ; Amygdalin/therapeutic use* ; Endothelial Cells/metabolism* ; Olive Oil/therapeutic use* ; Rats, Wistar ; Smad Proteins/metabolism* ; Liver Cirrhosis/metabolism* ; Liver ; Transforming Growth Factor beta1/metabolism* ; Signal Transduction ; Collagen Type I/metabolism* ; Carbon Tetrachloride ; Hepatic Stellate Cells

Objective: To evaluate the clinical value of the MeltPro MTB assays in the diagnosis of drug-resistant tuberculosis. Methods: A cross-sectional study design was used to retrospectively collect all 4 551 patients with confirmed tuberculosis between January 2018 and December 2019 at Beijing Chest Hospital, Capital Medical University. Phenotypic drug sensitivity test and GeneXpert MTB/RIF (hereafter referred to as "Xpert") assay were used as gold standards to analyze the accuracy of the probe melting curve method. The clinical value of this technique was also evaluated as a complementary method to conventional assays of drug resistance to increase the detective rate of drug-resistant tuberculosis. Results: By taking the phenotypic drug susceptibility test as the gold standard, the sensitivity of the MeltPro MTB assays to detect resistance to rifampicin, isoniazid, ethambutol and fluoroquinolone was 14/15, 95.7%(22/23), 2/4 and 8/9,respectively; and the specificity was 92.0%(115/125), 93.2%(109/117), 90.4%(123/136) and 93.9%(123/131),respectively; the overall concordance rate was 92.1%(95%CI:89.6%-94.1%),and the Kappa value of the consistency test was 0.63(95%CI:0.55-0.72).By taking the Xpert test results as the reference, the sensitivity of this technology to the detection of rifampicin resistance was 93.6%(44/47), the specificity was100%(310/310), the concordance rate was 99.2%(95%CI:97.6%-99.7%), and the Kappa value of the consistency test was 0.96(95%CI:0.93-0.99). The MeltPro MTB assays had been used in 4 551 confirmed patients; the proportion of patients who obtained effective drug resistance results increased from 83.3% to 87.8%(P<0.01); and detection rate of rifampicin, isoniazid, ethambutol, fluoroquinolone resistance, multidrug and pre-extensive drug resistance cases were increased by 3.2%, 14.7%, 22.2%, 13.7%, 11.2% and 12.5%, respectively. Conclusion: The MeltPro MTB assays show satisfactory accuracy in the diagnosis of drug-resistant tuberculosis. This molecular pathological test is an effective complementary method in improving test positivity of drug-resistant tuberculosis.
Humans ; Rifampin/therapeutic use* ; Antibiotics, Antitubercular/therapeutic use* ; Mycobacterium tuberculosis ; Ethambutol/pharmacology* ; Isoniazid/pharmacology* ; Paraffin Embedding ; Retrospective Studies ; Cross-Sectional Studies ; Drug Resistance, Bacterial ; Sensitivity and Specificity ; Tuberculosis, Multidrug-Resistant/drug therapy*