First Report of Neofusicoccum parvum Causing Seedpod Blight on Lotus (Nelumbo nucifera) in China.

Lotus (Nelumbo nucifera Gaertn.) is a widely cultivated plant in China, and the fruit lotus variety has a high economic value attributed to the exquisite flavor of its fresh seeds. During the summer of 2023, an unidentified blight was observed affecting lotus seedpods in Jiande City, Zhejiang province, with approximately 65% of seedpods impacted in a 130-hectare area. The initial symptoms included dark purple spots on the lotus seedpod surface, which gradually expanded over time. After 5 to 7 days, the entire seedpod turned black, withering, and rendering the lotus seeds inedible. To identify the causal agent, tissues from symptomatic seedpods were excised and disinfected in 75% ethanol for 60 s, and washed twice in sterile distilled water. The disinfected symptomatic tissues (5 × 5 mm) were plated on potato dextrose agar (PDA), incubated at 25 ℃, transferred hyphal tips to obtain pure isolates after 3 days. Fungal colonies exhibiting Botryosphaeriaceae morphology were isolated from 33% of the samples (n = 15). Pure cultures were grown on PDA for both morphological and molecular identification. The colonies displayed a white aerial mycelium, turning olivaceous grey after 7 days. Pycnidia were produced within 3 weeks on PDA with added sterilized healthy lotus seedpod pieces on the surface. Conidia were hyaline, unicellular, ellipsoidal, 12.65 to 20.72 × 3.92 to 9.38 µm in size (mean 16.67 × 6.24 µm, n = 100). To determine the fungal species, genomic DNA was extracted from one representative isolate (ZJUP1112-1), to amplify four gene loci through polymerase chain reactions (PCR): rDNA internal transcribed spacer (ITS) with primers ITS1/ITS4, rDNA large subunit (LSU) with LR0R/LR5, the translation elongation factor 1-alpha gene (tef1) with EF1-728F/EF1-986R, and ß-tubulin gene (tub2) with Bt2a/Bt2b. The PCR products were Sanger sequenced in Zhejiang Shangya biotechnology co., LTD, and the resulting sequences were assembled and deposited in GenBank (ITS: OR740546; LSU: OR740547; tef1: OR776996; tub2: OR776997). BLAST searches indicated the highest nucleotide sequence identity with the reference strains of Neofusicoccum parvum CMW 9081 (ITS: 98.8%, AY236943; LSU: 100%, AY928045; tef1: 99.6%, AY236888; tub2: 99.3%, AY236917). Multi-locus phylogenetic analyses revealed that isolate ZJUP1112-1 formed a highly supported clade with N. parvum. Pathogenicity tests were performed on healthy lotus seedpods using mycelial plugs (5 mm diameter) from actively growing colonies of ZJUP1112-1 that were placed onto the front and side of the seedpods (6 each). Controls received PDA plugs. Treated seedpods were wrapped with parafilm and incubated at 25 ℃ and the experiment was repeated three times. After 5 days, dark purple lesions were observed on the inoculated seedpods, whereas controls remained symptomless. The same isolate was recovered from the margin of resulting lesions and confirmed by morphology, thus fulfilling Koch's postulates. N. parvum is a polyphagous pathogen causing blights and fruit rot on multiple economically important fruit crops, such as cacao (Puig et al. 2019), walnut (Chen et al. 2019), pistachio (Lopez-Moral et al. 2020), chestnut (Seddaiu et al. 2021), blueberry (Spetik et al. 2023) and mango (Polizzi et al. 2022), among others. To the best of our knowledge, this is the first report of N. parvum causing seedpod blight on lotus seedpods in China, which contributes to a better understanding of the pathogens affecting this plant species in China.

Differential leukocyte counts and cardiovascular mortality in very old patients with acute myocardial infarction: a Chinese cohort study.

BACKGROUND: Total leukocyte and differential Leukocyte counts are prognostic indictors in patients with coronary artery disease (CAD). However, there is no data available regarding their prognostic utility in very old patients with acute myocardial infarction (AMI). The aim of this study is to investigate the potential role of different leukocyte parameters in predicting the mortality among very old patients with AMI. METHODS: A total of 523 patients aged over 80 years with AMI were consecutively enrolled into this study. Leukocyte and its subtypes were obtained at admission in each patient. The primary study endpoint was cardiovascular mortality. Patients were followed up for an average of 2.2 years and 153 patients died. The associations of leukocyte parameters with mortality were assessed using Cox regression analyses. The concordance index was calculated to test the model efficiency. RESULTS: In multivariable regression analysis, neutrophils-plus-monocytes-to-lymphocytes ratio (NMLR) and neutrophils-to-lymphocytes ratio (NLR) were two most significant predictors of mortality among all the leukocyte parameters (HR = 3.21, 95% CI 1.75-5.35; HR = 2.79, 95% CI 1.59-4.88, respectively, all p < 0.001, adjusted for age, male gender, body mass index, family history of CAD, smoking, hypertension, diabetes mellitus, high-density lipoprotein cholesterol (HDL-C), non-HDL-C, high sensitivity C-reactive protein, creatinine, left ventricular ejection fraction, troponin I, use of statin, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and percutaneous coronary intervention). Furthermore, adding NMLR and NLR into the Cox model increased the C-statistic by 0.038 and 0.037 respectively, which were more significant than that of other leukocyte parameters. Besides, addition of NMLR and NLR to the Canada Acute Coronary Syndrome Risk Score model also increased the C-statistic by 0.079 and 0.077 respectively. CONCLUSION: Our data firstly indicated that most leukocyte subtypes were independent markers for the mortality in very old patients with AMI, while NMLR and NLR appeared to be more effective.

A nomogram for determining the disease-specific survival in Ewing sarcoma: a population study.

BACKGROUND: We aimed to develop and validate a nomogram for predicting the disease-specific survival of Ewing sarcoma (ES) patients. METHODS: The Surveillance, Epidemiology, and End Results (SEER) program database was used to identify ES from 1990 to 2015, in which the data was extracted from 18 registries in the US. Multivariate analysis performed using Cox proportional hazards regression models was performed on the training set to identify independent prognostic factors and construct a nomogram for the prediction of the 3-, 5-, and 10-year survival rates of patients with ES. The predictive values were compared by using concordance indexes (C-indexes), calibration plots, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). RESULTS: A total of 2,643 patients were identified. After multivariate Cox regression, a nomogram was established based on a new model containing the predictive variables of age, race, extent of disease, tumor size, and therapy of surgery. The new model provided better C-indexes (0.684 and 0.704 in the training and validation cohorts, respectively) than the model without therapy of surgery (0.661 and 0.668 in the training and validation cohorts, respectively). The good discrimination and calibration of the nomogram were demonstrated for both the training and validation cohorts. NRI and IDI were also improved. Finally, DCA demonstrated that the nomogram was clinically useful. CONCLUSION: We developed a reliable nomogram for determining the prognosis and treatment outcomes of patients with ES in the US. However, the proposed nomogram still requires external data verification in future applications, especially for regions outside the US.

Development and validation of a nomogram for osteosarcoma-specific survival: A population-based study.

This study aimed to establish a comprehensive prognostic system for osteosarcoma based on a large population database with high quality.The Surveillance, Epidemiology, and End Results (SEER) Program database was used to identify patients with osteosarcoma from 1973 to 2015. Multivariate analysis was performed to screen statistically significant variables. A nomogram was constructed by R software to predict the 3-, 5- and 10-year survival rates. Predictive abilities were compared by C-indexes, calibration plots, integrated discrimination improvement (IDI), net reclassification improvement (NRI), as well as decision curve analysis (DCA).In total, 4505 osteosarcoma patients were identified. They were divided into training (70%, n = 3153) and validating (30%, n = 1352) groups. Multivariate analyses identified independent predictors. Subsequently, the nomogram system of a new model was established, which comprised 7 variables as age, sex, site, decade of diagnosis (DOD), extent of disease (EOD), tumor size and patients undergoing tri-modality therapy (surgery, radiotherapy and chemotherapy). It provided better C-indexes than the model without therapies (0.727, 0.712 vs 0.705, 0.668) in the 2 cohort, respectively. As well, the new model had good performances in the calibration plots. Moreover, both IDI and NRI improved for 3-, 5- and 10-year follow-up of C-indexes. Finally, DCA demonstrated that the nomogram of new model was clinically meaningful.We developed a reliable nomogram for prognostic determinants and treatment outcome analysis of osteosarcoma, thus helping better choose medical examinations and optimize therapeutic regimen under the cooperation among oncologists and surgeons.

miR-644a Inhibits Cellular Proliferation and Invasion via Suppression of CtBP1 in Gastric Cancer Cells.

Epithelial-mesenchymal transition (EMT) is one of the most important mechanisms in the metastasis of various cancers, including gastric cancer (GC). In this study, we explored the putative significance of miR-644a and its role in EMT-mediated metastasis of GC. We first detected the expression of miR-644a in a cohort of 107 GC tissues using quantitative RT-PCR. The expression of miR-644a was suppressed in GC tissues and was associated with a later clinical stage and tumor metastasis. Restoring the expression of miR-644a could significantly suppress the migration and invasion of HGC-27 and SGC-7901 cells, which might be correlated to its suppressive effect on the EMT process. We also found that carboxyl-terminal-binding protein 1 (CtBP1) was a putative target gene of miR-644a in GC and might be involved in the suppressive effect. Collectively, through targeting CtBP1-mediated suppression of the EMT process, miR-644a might suppress the tumor metastasis of GC cells.