ObjectiveTo investigate the effects of Xijiao Dihuangtang （XJDHT） on mice with sepsis and cellular models of sepsis and explore its molecular mechanism in alleviating sepsis-induced inflammatory responses via regulating pyruvate kinase M2 （PKM2）-mediated one-carbon metabolism pathway. MethodsForty C57BL/6N mice were randomly divided into four groups： normal group， model group， low-dose XJDHT group （7.7 g·kg^-1）， and high-dose XJDHT group （15.4 g·kg^-1）. After one week of continuous gavage， sepsis was induced using cecal ligation and puncture （CLP） in groups except the normal group. 24 h after the surgery， mortality rates in all groups were recorded， and serum cytokines were measured by enzyme linked immunosorbent assay （ELISA）. Lung histopathology was examined by hematoxylin-eosin （HE） staining. During the in vitro experiment， the human monocytic leukemia cell line （THP-1） was exposed to various concentrations of XJDHT and treated with lipopolysaccharide （LPS） at a final concentration of 2 mg·L^-1 for 24 h. Cell apoptosis was detected using terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） assay. Protein levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， B-cell lymphoma 2 （Bcl-2）， and Bcl-2-associated X protein （Bax） were measured by Western blot. Transcriptome sequencing was performed to analyze differentially expressed genes in all groups and conduct gene ontology （GO） enrichment. Key genes in the one-carbon metabolism pathway， including pyruvate kinase M2 （PKM2）， 5-methyltetrahydrofolate-homocysteine methyltransferase （MTR）， and phosphoglycerate dehydrogenase （PHGDH）， were verified by Western blot. A PKM2 inhibition model was established using shikonin for further protein expression analysis. ResultsAnimal experiments showed that compared with the normal group， the model group exhibited significantly elevated body temperature and lung pathology （P<0.01） and increased serum TNF-α and IL-1β levels （P<0.01）. High-dose XJDHT reduced body temperature and lung tissue damage （P<0.01） and significantly decreased serum TNF-α and IL-1β levels （P<0.01）. Low-dose XJDHT treatment showed no significant temperature change （P<0.01） but reduced serum TNF-α and IL-1β levels （P<0.01）. Transcriptome sequencing and Western blot revealed significant differences in the expression of TNF-α， IL-1β， and one-carbon metabolism genes （PKM2， MTR， and PHGDH） （P<0.01）. Cell experiments demonstrated that compared to the normal group， the model group showed elevated protein expressions of TNF-α and IL-1β in THP-1 cells （P<0.01）， decreased Bcl-2/Bax ratio， and increased apoptosis （P<0.01）. Transcriptome sequencing and Western blot revealed significant differences in the expression of TNF-α， IL-1β， and one-carbon metabolism genes （PKM2， MTR， and PHGDH） （P<0.01）. Compared to the model group， high-dose XJDHT significantly increased Bax/Bcl-2 ratio and PHGDH protein expression （P<0.01） and effectively reduced cell apoptosis （P<0.01） while down-regulating protein expressions of TNF-α， IL-1β， PKM2， and MTR （P<0.01）. Low-dose XJDHT moderately increased Bax/Bcl-2 ratio and PHGDH protein expression （P<0.05）， reduced apoptosis （P<0.05）， and decreased IL-1β and MTR protein levels （P<0.05， P<0.01）， but there were no significant changes in TNF-α and PKM2 expression. After PKM2 inhibition by shikonin in THP-1 cells， the expression of protein related to one-carbon metabolism was detected. Compared with the blank group， the LPS-induced model group showed significantly upregulated PKM2 and MTR protein expression （P<0.01） and downregulated PHGDH expression （P<0.01）. Compared with the model group， shikonin treatment significantly reduced PKM2 expression （P<0.05）， increased PHGDH expression （P<0.01）， and decreased MTR expression （P<0.05）. ConclusionXJDHT can inhibit the release of inflammatory factors in sepsis， and its mechanism is related to the intervention of the PKM2-regulated one-carbon metabolism pathway in macrophages.

Objective:To study the effects of periodontitis on bone and tryptophan metabolism of gut microbiota in the context of estrogen deficiency.Methods:Thirty-two female C57BL6/J mice were randomly divided into four groups based on table of random numbers ( n=8 in each group): Sham group, in which mice were given sham surgery; Sham_Lig group, in which mice were given sham surgery and were induced to periodontitis by ligating the bilateral maxillary second molars with 5-0 silk threads at the fourth week; Ovx group, in which mice were given bilateral ovariectomy; Ovx_Lig group, in which mice were given bilateral ovariectomy and were induced to periodontitis at the fourth week. After 8 weeks of ligation, the mice of 4 groups were euthanized for collecting the samples of femur, tibia, mandible and skull. Those samples were scanned by micro-CT to measure the bone mineral density (BMD), bone volume versus total volume ratio (BV/TV), trabecular number (Tb.N), trabecular thickness (Tb.Th) and trabecular spacing (Tb.Sp). The cecum contents of 4 groups of mice were collected for gut microbiota 16S rRNA gene sequencing. The tryptophan and its metabolites in intestinal tracts were detected by liquid chromatography-mass spectrometry. Pearson correlation analysis was performed to analyze the correlation between the abundance of gut microbiota and the content of tryptophan and its metabolites. Results:Femur BMD [(82.23±3.97) mg/cm 3], BV/TV [(9.25±1.37)%] and Tb.Th [(70.95±5.70) μm] in Ovx_Lig group were significantly lower than Ovx group [(96.30±3.76) mg/cm 3 ( P=0.004); (14.45±1.55)% ( P=0.022) and (87.58±8.02) μm ( P<0.001), respectively]. The β-diversity analysis of gut microbiota based on Bray-Curtis distance showed that samples of Ovx_Lig group and Ovx group were obviously grouped. Linear discriminant analysis effect size (LEfSe) showed that Alistipes was the representative genus in Ovx_Lig group. The relative abundance of Alistipes in Ovx_Lig group [(0.42±0.14)%] were significantly higher than that in Ovx group [(0.17±0.05)%] ( t=4.45, P<0.001). Tryptophan metabolism analysis showed that the content of kynurenic acid [(531.12±158.60) ng/g] in Ovx_Lig group were significantly higher than that in Ovx group [(400.42±57.96) ng/g] ( t=2.19, P=0.046). And the content of indole-3-carbaldehyde [(383.37±144.06) ng/g] in Ovx_Lig group were significantly lower than Ovx group [(701.72±141.93) ng/g] ( t=4.45, P<0.001). Correlation analysis showed that relative abundance of Alistipes was positively correlated with kynurenic acid ( r=0.32, P=0.088), while negatively correlated with indole-3-carbaldehyde ( r=-0.32, P=0.088). Conclusions:Periodontitis can induce bone destruction of femur in estrogen-deficient mice, the mechanism of which may be related to Alistipes in gut and the tryptophan metabolites kynurenic acid and indole-3-carbaldehyde.

Objective In this study,we analyzed the transcriptome sequences of Kupffer cells exposed to simulated microgravity for 3 d and conducted biological experiments to determine how microgravity initiates apoptosis in Kupffer cells. Methods Rotary cell culture system was used to construct a simulated microgravity model.GO and KEGG analyses were conducted using the DAVID database.GSEA was performed using the R language.The STRING database was used to conduct PPI analysis.qPCR was used to measure the IL1B,TNFA,CASP3,CASP9,and BCL2L11 mRNA expressions.Western Blotting was performed to detect the level of proteins CASP3 and CASP 9.Flow cytometry was used to detect apoptosis and mitochondrial membrane cells.Transmission electron microscopy was used to detect changes in the ultrastructure of Kupffer cells. Results Transcriptome Sequencing indicated that simulated microgravity affected apoptosis and the inflammatory state of Kupffer cells.Simulated microgravity improved the CASP3,CASP9,and BCL2L11 expressions in Kupffer cells.Annexin-V/PI and JC-1 assays showed that simulated microgravity promoted apoptosis in Kupffer cells.Simulated microgravity causes M1 polarization in Kupffer cells. Conclusion Our study found that simulated microgravity facilitated the apoptosis of Kupffer cells through the mitochondrial pathway and activated Kupffer cells into M1 polarization,which can secrete TNFA to promote apoptosis.

To address the key challenges in multivariate statistical modeling,a higher-order derivative approach combined with vector space angle multiplicative error correction was proposed for establishing an acid value prediction ordinary least squares(OLS)regression model based on attenuated total reflectance-Fourier transform infrared(ATR-FTIR)spectroscopy.By using acid values measured by potentiometric titration as reference,ATR-FTIR spectroscopy was utilized for direct calibration and prediction of acid values on 96 kinds of lubricating oil samples from a wind turbine.Firstly,the simulated hyperbolic(SH)method was employed to obtain accurate fourth derivative spectrum,resolving overlapping bands and enhancing spectral selectivity.Then,from the calibration set(48 samples),informative spectral regions were identified based on correlation coefficients.Next,the sample with the highest acid value was selected as the reference and1/(1+tan(θ/2))was used as the metric relation of the spectrum to suppress the multiplicity error caused by factors such as the change of effective optical path in ATR-FTIR spectroscopy.After pretreatment of the spectrum by the method of fourth-order derivative combined with angular quantity,the number of variables decreased from 1737 to 8,and the matrix condition number decreased from 1.85×1015 to 56.34,which effectively eliminated the collinearity issue for OLS regression.Direct OLS modeling on spectral preprocessed data achieved a determination coefficient of 0.981 for 47 validation samples,with a relative error range of-8.38%-8.22%,outperforming the commonly used partial least squares(PLS)method(Determination coefficient of 0.865,relative error of-27.82%-22.38%).It was proved that effective data preprocessing significantly improved the prediction accuracy of the model.Furthermore,when the number of calibration set was compressed to 25 and the number of validation set was expanded to 70,the model retained 8 variables with a condition number of 42.60,the determination coefficient of validation set was 0.972,and the relative error ranged from-10.80%to 12.31%.Comparing with the PLS method(Determination coefficient of 0.724,relative error of-34.26%-53.84%),the improvement was more obvious,which showed that the method could still have high prediction accuracy even with fewer modeling samples as well as robustness against multiplicative error interference.

Transcatheter tricuspid valve replacement(TTVR)is characterized by minimal invasiveness,rapid recovery,and a significantly lower perioperative mortality rate compared to surgical procedures.It is the preferred treatment for patients with bioprosthetic valve failure following surgical tricuspid valve replacement.However,when the delivery system is relatively bulky,challenges can arise due to the reduced orifice area post-surgery and the constraints imposed by the valve frame.These factors may result in difficulties advancing the delivery system.Additionally,the tortuous right heart pathway and limited support provided by the guide wire further increase the complexity of the procedure.In the present case,the patient experienced bioprosthetic valve failure following surgical tricuspid valve replacement.During TTVR,the advancement of the delivery system across the tricuspid valve encountered difficulties.Our team promptly employed the parallel anchoring-supporting sheath and snared wire(PASS)technique,pioneered at our center.Utilizing a large supporting sheath in conjunction with a snare to secure the tip of a extra-stiff guide wire,we straightened the tortuous pathway,providing additional support to the extra-stiff guide wire.This maneuver successfully facilitated the advancement of the delivery system across the tricuspid valve,offering a practical and effective solution for overcoming intraoperative challenges associated with TTVR.

Objective:To detect the expression of L-type amino acid transporter 1(LAT1)in non-Hodgkin's lymphoma(NHL)tissues,and analyze its effect on clinicopathological characteristics and prognosis of patients.Methods:A total of 92 NHL patients who were treated in our hospital from January 2017 to April 2019 were collected.The expression of LAT1 in NHL tissue was detected by immunohistochemistry and compared between patients with different pathological features(including sex,Ann Arbor stage,extranodal infiltration,Ki-67).The risk factors affecting mortality were analyzed using univariate and multivariate Cox proportional hazards regression.Receiver operating characteristic(ROC)curve was used to detect the predictive value of percentage of LAT1-positive cells in NHL tissue for patient mortality,and analyzing the effect of percentage of LAT1-positive cells on survival rate.Results:LAT1 was positively expressed in NHL tissue.The high expression rate of LAT1 in Ann Arbor stage Ⅲ and Ⅳ groups were higher than that in Ann Arbor stage Ⅰ group,that in extranodal infiltration group was higher than non-extranodal infiltration group,and that in Ki-67 positive expression group was higher than Ki-67 negative expression group(all P＜0.05).The remission rate after 3 courses of treatment in high-LAT1 expression group was 70.7％,which was lower than 91.2％in low-LAT1 expression group(P＜0.05).Ann Arbor stage Ⅲ and Ⅳ,extranodal invasion,Ki-67 positive expression and increased expression of LAT1(LAT1-positive cell percentage score &ge; 2)were risk factors for mortality.The cut-off value of percentage of LAT1-positive cells for predicting NHL death was 45.6％,and the area under the ROC curve was 0.905(95％CI:0.897-0.924).The 3-year survival rate of high-LAT1 level group(the percentage of LAT1-positive cells &ge; 45.6％)was 50.00％,which was lower than 78.26％of low-LAT1 level group(P＜0.05).Conclusion:The expression level of LAT1 in NHL tissue increases,which affects Ann Arbor stage and extranodal infiltration of patients.LAT1 is a risk factor for death.

Objective:To analyze and compare the differences of expression profiles between RPL and normal adipose tissue by transcriptome sequencing(RNA-Seq),then identify the key genes related to prognosis and explore their potential mechanisms.Methods:Tumor tissues and normal adipose tissues of patients with RPL were collected for RNA-Seq,and then the differentially ex-pressed genes were analyzed by GO and KEGG enrichment analysis.Based on TCGA,the high-risk genes related to prognosis were screened and verified by Kaplan-Meier curve and receiver operat-ing characteristic(ROC)curve.Results:Compared with normal adipose tissue,279 differentially expressed genes were simultaneously up-regulated in RPL tissues,which were mainly enriched in immune response and PPAR signaling pathway.Combined with TCGA,7 stable prognostic high risk genes were identified and the overall survival rate of the high risk group was significantly lower than that of the low risk group(P＜0.05).Conclusion:KCNQ5,RBPJ and some other genes may be re-lated to the poor prognosis of RPL patients.The analysis of the mechanism of these genes in RPL is expected to provide new evidence for the formulation of diagnosis and treatment strategies for RPL patients.

Objective:To evaluate the diagnostic value of hematological parameters for PCa with prostate-specific antigen(PSA)of 4-10 μg/L and construct a risk-stratification model with these parameters.Methods:We retrospectively analyzed the da-ta on the males undergoing the initial prostatic biopsy in the Affiliated Hospital of Xuzhou Medical University with PSA of 4-10 μg/L from March 2010 to April 2021.According to the results of biopsy,we classified the patients into a PCa and a non-PCa group,and compared the hematological parameters between the two groups.We performed univariate and multivariate logistic regression analyses,identified the independent risk factors for PCa,constructed a risk-stratification model for the prediction of PCa and evaluated its effi-ciency.Results:A total of 415 cases were included in this study,107(25.8％)in the PCa and 308(74.2％)in the non-PCa group.Compared with the non-PCa males,the PCa patients showed a significantly older age,higher ratios of neutrophil to lymphocyte and platelet to lymphocyte,systemic immune-inflammation index(SII),red blood cell distribution width and cystatin C(CysC)level(all P＜0.05),but lower red blood cell count and hemoglobin and free/total PSA(f/tPSA)levels(all P＜0.05).Multivariate logis-tic regression analysis indicated that age,f/tPSA,SII and CysC were independent risk factors for the prediction of PCa(all P＜0.05).Five prediction models were constructed based on the above risk factors,and the area under the ROC curve(AUC)of the four-parameter(age+f/tPSA+SII+CysC)model was 0.745(95％CI:0.694-0.796),significantly higher than those of the other mod-els(P＜0.05).A risk-stratification model(low-,intermediate-,and high-risk)was also constructed based on the total nomogram scores,which showed a comparable performance to that of the Prostate Imaging Reporting and Data System(PI-RADS)for the predic-tion of PCa(AUC:0.727[95％CI:0.650-0.804]vs 0.734[95％CI:0.658-0.811]).However,the prediction rate by the risk-stratification model was evidently higher in the low-risk males than in those with low PI-RADS scores(1-2)(39.4％vs 22.2％).Conclusion:SII and CysC are independent risk factors for the prediction of PCa in patients with gray-zone PSA levels.The risk-stratification model based on age,SII,CysC and f/tPSA is comparable to PI-RADS in the diagnostic efficiency of PCa,with an even higher prediction rate in low-risk patients than in those with low PI-RADS scores,and contributive to precision screening and reduction of excessive biopsies in the diagnosis of PCa with gray-zone PSA.

Objective: To understand the performance of 2019-nCoV nucleic acid detection in screening of contacts of COVID-19 cases in same flights and provide evidence for the effective screening of persons at high risk for the infection in domestic flights. Methods: The information of passengers who took same domestic flights with COVID-19 cases in China from April 1, 2020 to April 30, 2022 were retrospectively collected,and χ² test was used to analyze positive nucleic acid detection rates in the passengers in different times before the onsets of the index cases, in different seat rows and in epidemic periods of different 2019-nCoV variants. Results: During the study period, a total of 433 index cases were identified among 23 548 passengers in 370 flights. Subsequently, 72 positive cases of 2019-nCoV nucleic acid were detected in the passengers, in whom 57 were accompanying persons of the index cases. Further analysis of the another 15 passengers who tested positive for the nucleic acid showed that 86.67% of them had onsets or positive detections within 3 days after the diagnosis of the index cases, and the boarding times were all within 4 days before the onsets of the index cases. The positive detection rate in the passengers who seated in first three rows before and after the index cases was 0.15% (95%CI: 0.08%-0.27%), significantly higher than in the passengers in other rows (0.04%, 95%CI: 0.02%-0.10%, P=0.007),and there was no significant difference in the positive detection rate among the passengers in each of the 3 rows before and after the index cases (P=0.577). No significant differences were found in the positive detection rate in the passengers, except the accompanying persons, among the epidemics caused by different 2019-nCoV variants (P=0.565). During the Omicron epidemic period, all the positive detections in the passengers, except the accompanying persons, were within 3 days before the onset of the index cases. Conclusions: The screening test of 2019-nCoV nucleic acid can be conducted in the passengers took the same flights within 4 days before the onsets of the index cases on board. Passengers who seated within 3 rows from the index cases can considered as the close contacts at high risk for 2019-nCoV, for whom screening should be conducted first and special managements are needed. The passengers in other rows can be classified as general risk persons for screening and management.
Humans ; COVID-19 ; Retrospective Studies ; SARS-CoV-2 ; China ; Nucleic Acids

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*