A Prediction Model for Clinical Outcomes of COVID-19 Hospitalized Patients: Construction and Accuracy Assessment.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic spread rapidly with considerable morbidity nationwide since China's liberalization in December 2022. Our work has focused on identifying different predictive factors from the laboratory examination of critically ill patients, and forecasting the unfavorable outcome of critically ill patients with COVID-19 through a combined diagnosis of biological markers. METHODS: We conducted a retrospective study at the Department of First Affiliated Hospital of Wenzhou Medical University, China, from December 24, 2022, to January 10, 2023, where 434 critically ill patients who met the inclusion criteria were involved. Machine analysis was employed to search for the parameters with the highest predictive value to calculate COVID-19 mortality by exploiting 66 typical laboratory results. RESULTS: Combined diagnosis of serum albumin (ALB), lactate dehydrogenase (LDH), direct bilirubin (Dbil), ferritin, pulse oxygen saturation (SpO2), and neutrophil count (NEUT#) was evaluated, and the result with the highest predictive value (NEUT#) was selected as the predictor for COVID-19 mortality with a sensitivity of 89.2% and a specificity of 77.4%. CONCLUSIONS: The increased levels of LDH, Dbil, ferritin, and NEUT#, along with lowered ALB and SpO2 levels are the most decisive variables for forecasting the mortality for COVID-19 according to our machine-learning-based model. The combined diagnosis could be used to improve further diagnostic performance.

SIVA-1 enhances acquired chemotherapeutic drug resistance of gastric cancer in vivo by regulating the ARF/MDM2/p53 pathway.

SIVA-1 has been shown to affect apoptotic processes in various different cell lines, and SIVA-1 significantly contributes to the decreased responsiveness of cancer cells to some chemotherapy agents. However, whether SIVA-1 has potential application in gastric cancer remains unknown. Therefore, the objective of this investigation was to clarify the distinct function of SIVA-1 in chemotherapeutic drug resistance within a living murine model with gastric malignancy, and initially elucidate the underlying mechanisms. In an established multidrug-resistant gastric cancer xenograft mouse model, lentivirus, named Lv-SIVA-1, was injected into xenograft tumors, and increased the mRNA and protein expression of endogenous SIVA-1 in tumors. Immunohistochemical assays of xenograft tumor showed that SIVA-1 was significantly upregulated, and the protein expression levels of SIVA-1 were highly increased, as detected by Western blotting. In addition, we detected the role of SIVA-1 in cell proliferation and cell apoptosis in gastric cancer cells by TUNEL and found that SIVA-1 decreased tumor cell apoptosis and promoted tumor growth in vivo. Using a TMT assay between tumor tissues of experimental and control groups, differentially expressed proteins were examined and three potential biomarkers of multidrug resistance (ARF, MDM2, and p53) were screened. We further investigated the molecular mechanism by which SIVA-1 played an efficient role against chemotherapies and found that overexpressed SIVA-1 leads to increased ARF and MDM2 expression and suppressed expression of p53 in tumor tissue. In conclusion, SIVA-1 plays a significant role in the multidrug resistance of gastric tumors. In addition, overexpressed SIVA-1 positively regulates cell proliferation, adjusts cycle progression, and reduces the response to drug treatment for gastric cancer in an ARF/MDM2/p53-dependent manner. This novel research provides a basis for chemical management of gastric cancer through regulation of SIVA-1 expression.

Single-cell immune profiling of mouse liver aging reveals Cxcl2+ macrophages recruit neutrophils to aggravate liver injury.

BACKGROUND AND AIMS: Immune cells play a crucial role in liver aging. However, the impact of dynamic changes in the local immune microenvironment on age-related liver injury remains poorly understood. We aimed to characterize intrahepatic immune cells at different ages to investigate key mechanisms associated with liver aging. APPROACH AND RESULTS: We carried out single-cell RNA sequencing on mouse liver tissues at 4 different ages, namely, the newborn, suckling, young, and aged stages. The transcriptomic landscape, cellular classification, and intercellular communication were analyzed. We confirmed the findings by multiplex immunofluorescence staining, flow cytometry, in vitro functional experiments, and chimeric animal models. Nine subsets of 89,542 immune cells with unique properties were identified, of which Cxcl2+ macrophages within the monocyte/macrophage subset were preferentially enriched in the aged liver. Cxcl2+ macrophages presented a senescence-associated secretory phenotype and recruited neutrophils to the aged liver through the CXCL2-CXCR2 axis. Through the secretion of IL-1ß and TNF-α, Cxcl2+ macrophages stimulated neutrophil extracellular traps formation. Targeting the CXCL2-CXCR2 axis limited the neutrophils migration toward the liver and attenuated age-related liver injury. Moreover, the relationship between Cxcl2+ macrophages and neutrophils in age-related liver injury was further validated by human liver transplantation samples. CONCLUSIONS: This in-depth study illustrates that the mechanism of Cxcl2+ macrophage-driven neutrophil activation involves the CXCL2-CXCR2 axis and provides a potential therapeutic strategy for age-related liver injury.

Reconstructing cell lineage trees with genomic barcoding: approaches and applications.

In multicellular organisms, developmental history of cell divisions and functional annotation of terminal cells can be organized into a cell lineage tree (CLT). The reconstruction of the CLT has long been a major goal in developmental biology and other related fields. Recent technological advancements, especially those in editable genomic barcodes and single-cell high-throughput sequencing, have sparked a new wave of experimental methods for reconstructing CLTs. Here we review the existing experimental approaches to the reconstruction of CLT, which are broadly categorized as either image-based or DNA barcode-based methods. In addition, we present a summary of the related literature based on the biological insight provided by the obtained CLTs. Moreover, we discuss the challenges that will arise as more and better CLT data become available in the near future. Genomic barcoding-based CLT reconstructions and analyses, due to their wide applicability and high scalability, offer the potential for novel biological discoveries, especially those related to general and systemic properties of the developmental process.

Surgical treatment of left-sided infective endocarditis with symptomatic neurological complications before surgery in China.

Introduction: We aimed to investigate surgical treatment of left-sided infective endocarditis with symptomatic neurological complications before surgery. Methods: This was a retrospective study of patients with left-sided infective endocarditis and symptomatic neurological complications before surgery undergoing cardiac surgery between January 2006 and November 2022 at our hospital. Results: Eight hundred thirty-two patients were divided into group with symptomatic neurological complications before surgery (n = 112) and without symptomatic neurological complications before surgery (n = 720). There were 48 operative deaths (5.4%). Univariate and multivariate analyses showed that symptomatic neurological complications before surgery is statistically significantly associated with in-hospital mortality following cardiac surgery and prolonged intubation time. Conclusions: Our study showed that symptomatic neurological complications before surgery are associated with increased in-hospital mortality following cardiac surgery and prolonged intubation time.

Genome-wide probing of eukaryotic nascent RNA structure elucidates cotranscriptional folding and its antimutagenic effect.

The transcriptional intermediates of RNAs fold into secondary structures with multiple regulatory roles, yet the details of such cotranscriptional RNA folding are largely unresolved in eukaryotes. Here, we present eSPET-seq (Structural Probing of Elongating Transcripts in eukaryotes), a method to assess the cotranscriptional RNA folding in Saccharomyces cerevisiae. Our study reveals pervasive structural transitions during cotranscriptional folding and overall structural similarities between nascent and mature RNAs. Furthermore, a combined analysis with genome-wide R-loop and mutation rate approximations provides quantitative evidence for the antimutator effect of nascent RNA folding through competitive inhibition of the R-loops, known to facilitate transcription-associated mutagenesis. Taken together, we present an experimental evaluation of cotranscriptional folding in eukaryotes and demonstrate the antimutator effect of nascent RNA folding. These results suggest genome-wide coupling between the processing and transmission of genetic information through RNA folding.

Risk factors of prolonged intensive care unit stay following cardiac surgery for infective endocarditis.

INTRODUCTION: Prolonged intensive care unit (ICU) stay is common in serious patients undergoing cardiac surgery. Prolonged ICU stay is associated with increased mortality and worse prognosis. This study was conducted to determine the risk factors for prolonged ICU stay after cardiac surgery for infective endocarditis (IE) and we try to decrease the operative risk of mortality and morbidity of cardiac surgery for IE. METHODS: The retrospective study of patients with IE undergoing cardiac surgery between January 2006 and November 2022 at our hospital was performed. RESULTS: 896 patients undergoing cardiac surgery were divided into group of ICU stay ≤ 3d (n = 416) and group p of ICU stay > 3d (n = 480). There were 48 operative deaths (5.4%). Univariable and multivariable analyses showed that factors are associated with prolonged ICU stay following cardiac surgery for IE, including male (P < .001), age (P < .001), weight (P = .009), vegetation length (P < .001), paravalvular leak (P < .001), aortic cross-clamp time (P < .001), cardiopulmonary bypass (CPB) time (P < .001), mechanical ventilation time (P < .001), hospitalized time postoperative (P = .032), creatinine of serum before surgery (P < .001), creatinine of serum 24h after surgery (P = .005), creatinine of serum 48h after surgery (P < .001), fluid balance on operation day (P < .001), postoperative acute kidney injury (P < .001), left ventricular end diastolic dimension (LVEDD) preoperative (P < .001), LVEDD postoperative (P < .001), chest drainage (P = .032), frozen plasma (P = .016), preoperative aortic insufficiency (P < .001), and packed red cells (P < .001). CONCLUSIONS: In our study, shortness of ICU stay and optimization of pre-, peri-, and postoperative factors that can shorten ICU stay, therefore, contribute to a better postoperative outcome and leads to lower rates of mortality and morbidity.

Wide-scale identification of novel/eliminated genes responsible for evolutionary transformations.

BACKGROUND: It is generally accepted that most evolutionary transformations at the phenotype level are associated either with rearrangements of genomic regulatory elements, which control the activity of gene networks, or with changes in the amino acid contents of proteins. Recently, evidence has accumulated that significant evolutionary transformations could also be associated with the loss/emergence of whole genes. The targeted identification of such genes is a challenging problem for both bioinformatics and evo-devo research. RESULTS: To solve this problem we propose the WINEGRET method, named after the first letters of the title. Its main idea is to search for genes that satisfy two requirements: first, the desired genes were lost/emerged at the same evolutionary stage at which the phenotypic trait of interest was lost/emerged, and second, the expression of these genes changes significantly during the development of the trait of interest in the model organism. To verify the first requirement, we do not use existing databases of orthologs, but rely purely on gene homology and local synteny by using some novel quickly computable conditions. Genes satisfying the second requirement are found by deep RNA sequencing. As a proof of principle, we used our method to find genes absent in extant amniotes (reptiles, birds, mammals) but present in anamniotes (fish and amphibians), in which these genes are involved in the regeneration of large body appendages. As a result, 57 genes were identified. For three of them, c-c motif chemokine 4, eotaxin-like, and a previously unknown gene called here sod4, essential roles for tail regeneration were demonstrated. Noteworthy, we established that the latter gene belongs to a novel family of Cu/Zn-superoxide dismutases lost by amniotes, SOD4. CONCLUSIONS: We present a method for targeted identification of genes whose loss/emergence in evolution could be associated with the loss/emergence of a phenotypic trait of interest. In a proof-of-principle study, we identified genes absent in amniotes that participate in body appendage regeneration in anamniotes. Our method provides a wide range of opportunities for studying the relationship between the loss/emergence of phenotypic traits and the loss/emergence of specific genes in evolution.

Impact of Vegetation Length on Clinical Complications During Surgical Intervention and Long-Term Survival in Infective Endocarditis.

We aimed to investigate the impact of vegetation length on clinical complications during surgical intervention and long-term survival in infective endocarditis. This was a retrospective study of patients with infective endocarditis who underwent cardiac surgery between January 2006 and November 2022 at our hospital. 896 patients were divided into 2 groups: group I (vegetation length <10 mm, n = 448) and group II (vegetation length ≥10 mm, n = 448). There were 48 operative deaths (5.4%). Univariate and multivariate analyses showed that vegetation length is statistically significantly associated with destruction of the annulus (p <0.001), neurological complications before surgery (p <0.001), acute renal injury (p <0.001), prolonged intubation time (intubation time >24 hours) (p <0.001), prolonged intensive care unit (ICU) retention time (ICU retention time >3 days) (p <0.001), and in-hospital mortality (p <0.001), respectively. Our study showed that vegetation length is statistically significantly associated with destruction of the annulus, neurological complications before surgery, acute renal injury, prolonged intubation time, prolonged ICU retention time, in-hospital mortality, and 1-year mortality, respectively.

Phylogenetic Comparative Analysis of Single-Cell Transcriptomes Reveals Constrained Accumulation of Gene Expression Heterogeneity during Clonal Expansion.

In the same way that a phylogeny summarizes the evolutionary history of species, a cell lineage tree describes the process of clonal expansion, in which gene expression differences between cells naturally accrue as a result of stochastic partitioning and imperfect expression control. How is functional homeostasis, a key factor in the biological function of any population of cells, maintained in the face of such continuous accumulation of transcriptomic heterogeneity remains largely unresolved. To answer this question, we experimentally determined the single-cell transcriptomes and lineage relationships of up to 50% cells in single-HEK293-seeded colonies. Phylogenetic comparative analyses of the single-cell transcriptomes on the cell lineage tree revealed three lines of evidence for the constrained accumulation of transcriptome heterogeneity among cells, including rapid saturation of transcriptomic heterogeneity upon four cell divisions, reduced expression differences within subtrees closer to expression boundaries, and cofluctuations among genes. Our analyses showcased the applicability of phylogenetic comparative methods in cell lineage trees, demonstrated the constrained accumulation of transcriptomic heterogeneity, and provided novel insight into the functional homeostasis of cell populations.

Single-cell transcriptomics reveals heterogeneity and intercellular crosstalk in human intervertebral disc degeneration.

The complexity of the human intervertebral disc (IVD) has hindered the elucidation of the microenvironment and mechanisms underlying IVD degeneration (IVDD). Here we determined the landscapes of nucleus pulposus (NP), annulus fibrosus (AF), and immunocytes in human IVD by scRNA-seq. Six NP subclusters and seven AF subclusters were identified, whose functional differences and distribution during different stages of degeneration (Pfirrmann I-V) were investigated. We found MCAM+ progenitor in AF, as well as CD24+ progenitor and MKI67+ progenitor in NP, forming a lineage trajectory from CD24+/MKI67+ progenitors to EffectorNP_⅓ during IVDD. There is a significant increase in monocyte/macrophage (Mφ) in degenerated IVDs (p = 0.044), with Mφ-SPP1 exclusively found in IVDD but not healthy IVDs. Further analyses of the intercellular crosstalk network revealed interactions between major subpopulations and changes in the microenvironment during IVDD. Our results elucidated the unique characteristics of IVDD, thereby shedding light on therapeutic strategies.

Risk factors of non-sentinel lymph node metastasis in breast cancer with 1-2 sentinel lymph node macrometastases underwent total mastectomy: a case-control study.

BACKGROUND: The randomized trials which include ACOSOG Z0011 and IBCSG 23-01 had found that the survival rates were not different in patients with cT1/2N0 and 1-2 sentinel lymph node (SLN)-positive, macro/micrometastases who underwent breast-conserving therapy, and micrometastases who underwent total mastectomy (TM), when axillary lymph node dissection (ALND) was omitted. However, for patients with cT1/2N0 and 1-2 SLN macrometastases who underwent TM; there was still insufficient evidence from clinical studies to support whether ALND can be exempted. This study aimed to investigate the risk factors of non-sentinel lymph node (nSLN) metastasis in breast cancer patients with 1-2 SLN macrometastases undergoing TM. METHODS: The clinicopathological data of 1491 breast cancer patients who underwent TM and SLNB from January 2017 to February 2022 were retrospectively analyzed. Univariate and multivariate analyses were performed to analyze the risk factors for nSLN metastasis. RESULTS: A total of 273 patients with 1-2 SLN macrometastases who underwent TM were enrolled. Postoperative pathological data showed that 35.2% patients had nSLN metastasis. The results of multivariate analysis indicated that tumor size (TS) (P = 0.002; OR: 1.051; 95% CI: 1.019-1.084) and ratio of SLN macrometastases (P = 0.0001; OR: 12.597: 95% CI: 4.302-36.890) were the independent risk factors for nSLN metastasis in breast cancer patients with 1-2 SLN macrometastases that underwent TM. The ROC curve analysis suggested that when TS ≤22 mm and ratio of SLN macrometastases ≤0.33, the incidence of nSLN metastasis could be reduced to 17.1%. CONCLUSIONS: The breast cancer patients with cT1/2N0 stage, undergoing TM and 1-2 SLN macrometastases, when the TS ≤22 mm and macrometastatic SLN does not exceed 1/3 of the total number of detected SLN, the incidence of nSLN metastasis is significantly reduced, but whether ALND can be exempted needs further exploration.

Comprehensive landscape of the IPAF inflammasomes in pan-cancer: A bulk omics research and single-cell sequencing validation.

BACKGROUND: IPAF (ICE-protease Activating Factor) is a nucleotide-binding/leucine-rich repeat (NLR) protein known as the cysteine-associated recruitment domain 12 (CARD12). Previous studies only discuss the role of IPAF inflammasomes in specific tumors. The role of IPAF inflammasomes in pan-cancer is still unclear. Therefore, we performed a comprehensive analysis of IPAF inflammasome in 33 tumors. METHODS: We used databases like The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) from the UCSC XENA (http://xena.ucsc.edu/) to retrieve and analyze gene expression. The influence of IPAF inflammasome on the prognosis of tumor patients was analyzed using univariate Cox regression analysis and Kaplan-Meier survival analysis. Furthermore, we conducted the following analysis: Single-sample gene set enrichment analysis, single-cell level functional state analysis, single-cell sequencing, immune cell infiltration analysis, and tumor immune dysfunction and exclusion (TIDE) score. RESULTS: First, the differential expression of IPAF inflammasome-related genes (IPAF-RGs) in 33 tumors were analyzed. The results revealed that IPAF-RGs were significantly and differentially expressed in eight tumors. The prognostic significance of IPAF inflammasome scores was different in different tumors. A positive correlation was observed between IPAF inflammasomes scores and CD8+ T cells in most tumors. Further analysis revealed that IPAF inflammasome might affect tumor immunity mainly by mediating effector T cell recruitment via the expression of chemokines such as CXCL9, CXCL10, and CCL5. The analysis of TIDE and IPAF inflammasome scores revealed a significant negative correlation between IPAF inflammasome and TIDE scores in 11 tumors. CONCLUSION: A pan-cancer analysis of IPAF inflammasome in various tumors was performed. The results highlight the potential value of IPAF inflammasome in response to immunotherapy in patients and provide a new direction for future immunotherapy.

Lack of evolutionary convergence in multiple primary lung cancer suggests insufficient specificity of personalized therapy.

Multiple primary lung cancer (MPLC) is an increasingly prevalent subtype of lung cancer. According to recent genomic studies, the different lesions of a single MPLC patient exhibit functional similarities that may reflect evolutionary convergence. We perform whole-exome sequencing for a unique cohort of MPLC patients with multiple samples from each lesion found. Using our own and other relevant public data, evolutionary tree reconstruction reveals that cancer driver gene mutations occurred at the early trunk, indicating evolutionary contingency rather than adaptive convergence. Additionally, tumors from the same MPLC patient are as genetically diverse as those from different patients, while within-tumor genetic heterogeneity is significantly lower. Furthermore, the aberrant molecular functions enriched in mutated genes for a sample show a strong overlap with other samples from the same tumor, but not with samples from other tumors or other patients. Overall, there is no evidence of adaptive convergence during the evolution of MPLC. Most importantly, the similar between-tumor diversity and between-patient diversity suggest that personalized therapies may not adequately account for the genetic diversity among different tumors in an MPLC patient. To fully exploit the strategic value of precision medicine, targeted therapies should be designed and delivered on a per-lesion basis.

Results of the inoperable and operable with aortic valve endocarditis.

Objectives: To evaluate the results of the inoperable and operable with aortic valve endocarditis, focus on risk factors, significance, and management of destruction of the aortic annulus in aortic valve endocarditis. Methods: The retrospective study was completed to investigate patients with aortic valve endocarditis undergoing cardiac surgery between January 2006 and November 2022 at our hospital. Results: 512 patients were divided into group with destruction of the aortic annulus (n = 80) and without destruction of the aortic annulus (n = 432). There were 32 operative deaths (6.3%, 32/512). By univariate and multivariate analysis, destruction of the aortic annulus is found to be statistically significantly associated with in-hospital mortality (P < 0.001), prolonged mechanical ventilation time (mechanical ventilation time > 96 h, P = 0.018), early aortic paravalvular leak (P < 0.001), and 1-year mortality following cardiac surgery (P < 0.001), respectively. Conclusions: In our study, destruction of the aortic annulus increases mortality and health care costs. Optimization of pre-, peri-, and postoperative factors can reduce mortality and morbidity in aortic valve endocarditis. Aortic root replacement could be recommended as the best practice choice for aortic valve endocarditis with periannular abscess and destruction of the aortic annulus.

Analysis of risk factors of multiorgan failure after pericardiectomy for constrictive pericarditis.

BACKGROUND: We aimed to investigate risk factors of multiorgan failure following pericardiectomy. METHODS: This was a retrospective study of patients undergoing pericardiectomy between January 1994 and May 2021 at three hospitals. RESULTS: 826 patients were included in the study and divided into two groups: group with multiorgan failure (n = 86) and group without multiorgan failure (n = 740). There were 86 patients with multiorgan failure (86/826, 10.4%). There were 66 operative deaths (66/826, 8.0%). The causes of operative deaths were multiorgan failure, including cardiogenic shock + AKI + ventricular fibrillation (13/66), cardiogenic shock + AKI (35/66), cardiogenic shock + AKI + hepatic failure + septicemia (8/66), cardiogenic shock + AKI + respiratory failure (10/66). Univariate and multivariate analyses showed the factors associated with multiorgan failure, including male (P = 0.006), time between symptoms and surgery (P < 0.001), thickness of pericardium (P < 0.001), intubation time (P < 0.001), ICU retention time (P < 0.001), hospitalized time postoperative (P < 0.001), preoperative central venous pressure (P < 0.001), postoperative central venous pressure (P < 0.001), D0 fluid balance (P < 0.001), D2 fluid balance (P < 0.001), postoperative chest drainage (P < 0.001), preoperative LVEDD(P < 0.001), postoperative LVEDD (P < 0.001), surgical duration (P < 0.001), bleeding during operation (P < 0.001), serum creatinine 24 h after surgery (P = 0.042), serum creatinine 48 h after surgery (P < 0.001), fresh-frozen plasma (P < 0.001), packed red cells (P < 0.001), blood lactate (P < 0.001). CONCLUSION: In our study, incomplete pericardial dissection, fluid overload, delayed diagnosis and treatment are associated with multiorgan failure following pericardiectomy.

Rectal nonsteroidal anti-inflammatory drugs, glyceryl trinitrate, or combinations for prophylaxis of post-endoscopic retrograde cholangiopancreatography pancreatitis: A network meta-analysis.

BACKGROUND: Acute pancreatitis is the most common and severe complication of endoscopic retrograde cholangiopancreatography (ERCP). Recent evidence suggests that combinations based on rectal nonsteroidal anti-inflammatory drugs (NSAIDs) are more beneficial in preventing post-ERCP pancreatitis (PEP). Randomized controlled trials (RCTs) have also demonstrated the efficacy of glyceryl trinitrate (GTN). We conducted a network meta-analysis to compare NSAIDs and GTN for prevention of PEP and to determine whether they are better in combination. AIM: To compare NSAIDs and GTN for prevention of PEP and to determine whether they are better in combination. METHODS: A systematic search was done for full-text RCTs of PEP in PubMed, Embase, Science Citation Index, and the Cochrane Controlled Trials database. Inclusion and exclusion criteria were used to screen for eligible RCTs. The major data were extracted by two independent reviewers. The frequentist model was used to conduct this network meta-analysis and obtain the pairwise OR and 95%CI. The data were then extracted and assessed on the basis of the Reference Citation Analysis (https://www.referencecitationanalysis.com/). RESULTS: Twenty-four eligible RCTs were selected, evaluating seven preventive strategies in 9416 patients. Rectal indomethacin 100 mg plus sublingual GTN (OR: 0.21, 95%CI: 0.09-0.50), rectal diclofenac 100 mg (0.34, 0.18-0.65), sublingual GTN (0.34, 0.12-0.97), and rectal indomethacin 100 mg (0.49, 0.33-0.73) were all more efficacious than placebo in preventing PEP. The combination of rectal indomethacin and sublingual GTN had the highest surface under the cumulative ranking curves (SUCRA) probability of (92.2%) and was the best preventive strategy for moderate-to-severe PEP with a SUCRA probability of (89.2%). CONCLUSION: Combination of rectal indomethacin 100 mg with sublingual GTN offered better prevention of PEP than when used alone and could alleviate the severity of PEP.

Prediction of Antibiotic Resistance Evolution by Growth Measurement of All Proximal Mutants of Beta-Lactamase.

The antibiotic resistance crisis continues to threaten human health. Better predictions of the evolution of antibiotic resistance genes could contribute to the design of more sustainable treatment strategies. However, comprehensive prediction of antibiotic resistance gene evolution via laboratory approaches remains challenging. By combining site-specific integration and high-throughput sequencing, we quantified relative growth under the respective selection of cefotaxime or ceftazidime selection in ∼23,000 Escherichia coli MG1655 strains that each carried a unique, single-copy variant of the extended-spectrum ß-lactamase gene blaCTX-M-14 at the chromosomal att HK022 site. Significant synergistic pleiotropy was observed within four subgenic regions, suggesting key regions for the evolution of resistance to both antibiotics. Moreover, we propose PEARP and PEARR, two deep-learning models with strong clinical correlations, for the prospective and retrospective prediction of blaCTX-M-14 evolution, respectively. Single to quintuple mutations of blaCTX-M-14 predicted to confer resistance by PEARP were significantly enriched among the clinical isolates harboring blaCTX-M-14 variants, and the PEARR scores matched the minimal inhibitory concentrations obtained for the 31 intermediates in all hypothetical trajectories. Altogether, we conclude that the measurement of local fitness landscape enables prediction of the evolutionary trajectories of antibiotic resistance genes, which could be useful for a broad range of clinical applications, from resistance prediction to designing novel treatment strategies.

Analysis of Risk Factors of Early Mortality After Pericardiectomy For Constrictive Pericarditis.

BACKGROUND: We aimed to investigate risk factors of early mortality following pericardiectomy. METHODS: This was a retrospective study of patients undergoing pericardiectomy between January 1994 and May 2021 at The People's Hospital of Guangxi Zhuang Autonomous Region, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, and The People's Hospital of Liuzhou City. RESULTS: This study included 826 patients, who were divided into two groups: group with operative deaths (N = 66) and group without operative deaths (N = 760). There were 66 operative deaths (66/826, 8.0%). The causes of operative deaths were multiorgan failure (86/826, 10.4%). Preoperative CVP (P < 0.001), chest drainage (P < 0.001), surgical duration (P < 0.001), fluid balance postoperative day D2 (P < 0.001), and tuberculosis pericarditis (P = 0.001) in group with operative deaths were significantly higher than those in group without operative deaths. Univariate and multivariate analyses showed that factors associated with operative deaths include male (P < 0.001), age (P < 0.001), ICU retention time (P < 0.001), postoperative hospitalization time (P < 0.001), preoperative central venous pressure (P = 0.018), postoperative central venous pressure (P < 0.001), D0 fluid balance (P < 0.001), D2 fluid balance (P < 0.001), postoperative chest drainage (P = 0.029), surgical duration (P = 0.003), serum creatinine baseline (P = 0.002), serum creatinine 24h after surgery (P < 0.001), serum creatinine 48h after surgery (P < 0.001), blood lactate (P < 0.001), and tuberculosis pericarditis (P = 0.033). CONCLUSION: In our study, incomplete pericardial dissection, fluid overload, and tuberculosis pericarditis are associated with operative deaths following pericardiectomy.

Distinct codon usage bias evolutionary patterns between weakly and strongly virulent respiratory viruses.

Human respiratory viruses are of vastly different virulence, giving rise to symptoms ranging from common cold to severe pneumonia or even death. Although this most likely impacts molecular evolution of the corresponding viruses, the specific differences in their evolutionary patterns remain largely unknown. By comparing structural and nonstructural genes within respiratory viruses, greater similarities in codon usage bias (CUB) between nonstructural genes and humans were observed in weakly virulent viruses, whereas in strongly virulent viruses, it was structural genes whose CUBs were more similar to that of humans. Further comparisons between genomes of weakly and strongly virulent coronaviruses revealed greater similarities in CUBs between strongly virulent viruses and humans. Finally, using phylogenetic independent contrasts, dissimilation of viral CUB from that of humans was observed in SARS-CoV-2. Our work revealed distinct CUB evolutionary patterns between weakly and strongly virulent viruses, a previously unrecognized interaction between CUB and virulence in respiratory viruses.