A novel subtype of influenza A virus 09H1N1 has rapidly spread across the world. Evolutionary analyses of this virus have revealed that 09H1N1 is a triple reassortant of segments from swine, avian and human influenza viruses. In this study, we investigated factors shaping the codon usage bias of 09H1N1 and carried out cluster analysis of 60 strains of influenza A virus from different subtypes based on their codon usage bias. We discovered that more preferentially used codons of 09H1N1 are A-ended or U-ended, and the intra-genomic codon usage bias of 09H1N1 is quite low. Base composition constraint, dinucleotide biases and translational selection are the main factors influencing the codon usage bias of 09H1N1. At the genome level, we find that the codon usage bias of 09H1N1 is similar to H1N1 (A/swine/Kansas/77778/2007H1N1), H9N2 from Asia, H1N2 from Asia and North America and H3N2 from North America. Our results provide insight for understanding the processes governing evolution, regulation of gene expression, and revealing the evolution of 09H1N1.

Purpose: In non-metastatic prostate cancer (nmPCa) setting, it is important to early identify the patients at risk of biochemical recurrence (BCR) for immediate postoperative intervention. Our study aimed to evaluate the potential clinical utility of circulating tumor DNA (ctDNA) for predicting disease recurrence. Materials and Methods: This real-world observational study evaluated 161 cases of nmPCa undergoing next-generation sequencing at our institution. A total of 139 ctDNA samples and 31 biopsied tumor tissue underwent genomic profiling. The study endpoint was BCR after radical prostatectomy. Relationships between the ctDNA status and the biochemical progression-free survival (bPFS) were analyzed by log-rank test and multivariate Cox regression. Results: Of 161 enrolled patients, 19 (11.8%) harbored deleterious alterations in NCOR2, followed by BRCA2 (3.7%), ATR (2.5%), and CDK12 (2.5%). Of available pre-operative blood samples (n=139), ctDNA was detectable in 91 (65.5%). Until last follow-up, 56 of 68 patients (85.3%) with detectable ctDNA had achieved BCR, whereas only eight of 39 patients (20.5%) with undetectable ctDNA had achieved BCR. Patients who had undetectable ctDNA experienced significantly longer bPFS compared with those who had detectable ctDNA (not available vs. 8.2 months; hazard ratio, 0.14; p < 0.01). Pre-operative ctDNA status was a significant prognostic factor of disease recurrence. Conclusion Pre-operative ctDNA detection could identify patients at high risk of recurrence and has the potential to inform immediate postoperative interventions, but these approaches remain to be validated in prospective studies. ctDNA studies can provide insights into accurate monitoring and precise treatment rather than simply following routine clinical care.

Objective:To investigate the status quo and influence factors of job burnout among nursing assistants in geriatric ward.Methods:From January to October 2021, a total of 200 nursing assistants were selected in geriatric ward of Beijing Friendship Hospital Affiliated to Capital Medical University by the convenient sampling method. Questionnaires were used to collect the general information of nursing assistants, such as gender, age, education level, working years, and time of taking care current elderly patients as well as the general information of the elderly patients, including gender, age, body mass index (BMI), activity of daily living, comorbidity index and so on. The Chinese version of the Maslach Occupational Questionnaire (MBI-GS) was used to investigate the status quo of job burnout among nursing assistants in geriatric ward. Univariate and multivariate Logistic regression were used to analyze the influencing factors of job burnout among nursing assistants in geriatric ward.Results:Among 200 nursing assistants, the incidence of job burnout was 49.00% (98/200), including 64.29% (63/98) mild burnout, 23.47% (23/98) moderate burnout, 12.24% (12/98) severe burnout. There were significant differences in working years, the time of taking care current elderly patients, average monthly income, working hours in one year, degree of respect from family members, job satisfaction and whether they had experienced provocation behaviors among nursing assistants with different job burnout levels ( P<0.05). There were significant differences in elderly patients' age, vision status, pressure sore score, Instrumental Activity of Daily Living (IADL) score, Activity of Daily Living (ADL) score among nursing assistants with different job burnout levels ( P<0.05). Logistic regression analysis showed that working years, average monthly income, annual working hours, degree of respect from family members, experienced aggressive behavior, and visual status, pressure sore score, IADL score, ADL score of the elderly patients were the influencing factors of job burnout among nursing assistants in geriatric ward ( P<0.05) . Conclusions:Nursing assistants in geriatric ward generally have job burnout, mainly mild burnout, and working years, average monthly income, annual working hours, degree of respect from family members, experienced aggressive behavior, and visual status, pressure ulcer score, IADL score and ADL score of the elderly patients were the influencing factors of job burnout.

Objective:To explore the normal ranges of perfusion parameters between cerebral hemisphere, cerebellar hemisphere and brain anatomical subregions (56 pairs) in different gender and age groups with multiple post labeling delay time (Multi-PLD) arterial spin labeling (ASL) imaging.Methods:From November 2020 to December 2020, 42 healthy adult volunteers (Male 25, Female 17) were recruited to perform 7 PLD ASL imaging, including 21 young adults (15 males and 6 females, aged 23—35 years) and 21 seniors (10 males and 11 females, aged 36—74 years). The data was processed offline by Cereflow software to obtain arterial arrival time (ATT) and corrected cerebral blood flow (CBF) and cerebral blood volume (CBV) perfusion parameters. SimpleITK standardization function was used to standardize the calculated perfusion image according to the anatomical automatic labeling (AAL) template. Therefore, CBF, ATT, CBV perfusion values of brain subregions were obtained. Paired samples t test, Wilcoxon rank sum test, independent samples t test and Mann-Whitney U test were used to compare the differences of perfusion parameters in the cerebral hemisphere, the cerebellar hemisphere, brain subregions depending on side, gender and age. Pearson correlation analysis was used to compare the correlations of perfusion parameters with age. Results:CBF in 62.5% (35/56) subregions and CBV in 44.6% (25/56) subregions were higher in right side than those in left side. ATT in most brain anatomical subregions (16/56) were higher in left side. The CBF [(35.30±8.31) vs. (34.34±7.53) ml·100g -1·min -1, P=0.021], CBV [(0.47±0.11) vs. (0.45±0.09) ml/100g, P<0.001], ATT [(1.30±0.10) vs. (1.24±0.11) s, P<0.001] in left cerebellar hemisphere were higher than that of right side. The CBF (28/56) of cerebral hemisphere, cerebellar hemisphere and brain subregions was higher in females than that in males, while ATT in 83.9% (47/56) subregions was lower than that in males (all P<0.05). CBV in female subjects was higher only in 5 brain regions (superior occipital gyrus, middle occipital gyrus, inferior occipital gyrus, superior parietal gyrus and cerebelum_7b) (all P<0.05). In young subjects, CBF in 44.6% (25/56) subregions and CBV in 33.9% (19/56) subregions were higher than those in the senior group (all P<0.05). The ATT in most subregions in young group were lower than those in senior group, but the difference was statistically significant only in rectus gyrus ( P=0.026) and paracentral lobule ( P=0.006). The CBF ( r=-0.430, P=0.005) and CBV ( r=-0.327, P=0.035) of cerebral hemisphere were negatively correlated with age. The CBF (24/25, r range:-0.497 —-0.343, all P<0.05) and CBV (16/19, r range:-0.474 —-0.322, all P<0.05) in most subregions were negatively correlated with age, while ATT was positively correlated (gyrus rectus: r=0.311, P=0.045; paracentral lobule: r=0.392, P=0.010). Conclusions:Multi-PLD ASL imaging could be applied for quantitative analysis of brain perfusion. The perfusion parameters of anatomical subregions are different depending on side, gender, and age.

OBJECTIVE: To investigate the correlation between the stenosis degree of superior mesenteric artery (SMA) and each artery within the scope of aorto-iliac artery in patients with lower extremity atherosclerotic occlusive disease (LEAOD). METHODS: Images of 70 patients who had undergone the aorta-iliac-femoral arteries CT angiography (CTA) examination and had a definite diagnosis of LEAOD due to intermittent claudication or resting pain admitted to Tianjin Hospital from January to December in 2017 were enrolled. The arteries in the aorta as well as iliac were surface-reconstructed, which were analyzed by advanced vascular analysis (AVA) combined with the original images, including SMA trunk, abdominal aorta (AA), left and right common iliac artery (LCIA, RCIA), left and right internal iliac artery (LIIA, RIIA), left and right external iliac artery (LEIA, REIA). The normal reference plane and the maximal stenosis plane were selected, and the stenosis rate of each artery in the reconstruction range was automatically calculated with software. The patient's imaging data were divided into groups with two methods: (1) according to the degree of SMA stenosis, the patients were divided into group I (stenosis degree ≤70%) and group II (stenosis degree > 70%); (2) LEAOD patients with different gender were respectively divided into three groups: middle-aged group (45-59 years old), pre-elderly group (60-74 years old) and elderly group (75-89 years old). The comparison between the stenosis degree of SMA and each artery within the scope of aorto-iliac artery was analyzed with Pearson simple correlation analysis. RESULTS: The incidence of SMA stenosis in all LEAOD patients was 100%. Correlation analysis showed that there was no correlation between the stenosis degree of SMA and AA, LCIA, RCIA, LIIA, RIIA, LEIA, or REIA in group I (n = 64) and group II (n = 6), respectively (r value was -0.021, 0.023, 0.023, -0.137, 0.182, -0.113, 0.141, respectively, in group I, and it was 0.020, -0.560, 0.010, 0.306, -0.204, -0.381, 0.393, respectively, in group II, all P > 0.05). In 52 male patients, there was no correlation between the stenosis degree of SMA and AA, LCIA, RCIA, LIIA, RIIA, LEIA, or REIA in middle-aged group (n = 16), pre-elderly group (n = 27) and elderly group (n = 9), respectively (r value was -0.032, 0.024, 0.324, 0.146, 0.312, 0.008, 0.344, respectively, in middle-aged group, it was -0.108, -0.116, -0.040, -0.249, -0.082, -0.052, 0.096, respectively, in pre-elderly group, and it was 0.182, 0.311, 0.400, 0.360, 0.688, 0.498, 0.406, respectively, in elderly group, all P > 0.05). In 18 female patients, there was also no correlation between the stenosis degree of SMA and above each artery within the scope of aorto-iliac artery in pre-elderly group (n = 11) and elderly group (n = 6), respectively (the r value was -0.170, 0.040, -0.019, 0.152, 0.508, 0.042, 0.456, respectively, in pre-elderly group, and it was -0.660, 0.008, -0.055, -0.056, -0.213, 0.344, 0.011, respectively, in elderly group, all P > 0.05). The correlation in middle-aged group was not analyzed because there was only 1 patient. CONCLUSIONS Although the atherosclerotic changes in LEAOD patients can affect SMA and aorto-iliac artery at the same time, there was no correlation between the stenosis degree of SMA and each artery within the scope of aorto-iliac artery which may due to the differences in the histological structure and hemodynamics among different arteries. SMA atherosclerotic stenosis and occlusion is a relatively independent disease process for LEAOD.
Aged ; Aged, 80 and over ; Computed Tomography Angiography ; Constriction, Pathologic ; Female ; Humans ; Iliac Artery ; Lower Extremity ; Male ; Mesenteric Artery, Superior ; Middle Aged

Objective: To investigate the correlation between the stenosis degree of superior mesenteric artery (SMA) and each artery within the scope of aorto-iliac artery in patients with lower extremity atherosclerotic occlusive disease (LEAOD). Methods: Images of 70 patients who had undergone the aorta-iliac-femoral arteries CT angiography (CTA) examination and had a definite diagnosis of LEAOD due to intermittent claudication or resting pain admitted to Tianjin Hospital from January to December in 2017 were enrolled. The arteries in the aorta as well as iliac were surface-reconstructed, which were analyzed by advanced vascular analysis (AVA) combined with the original images, including SMA trunk, abdominal aorta (AA), left and right common iliac artery (LCIA, RCIA), left and right internal iliac artery (LIIA, RIIA), left and right external iliac artery (LEIA, REIA). The normal reference plane and the maximal stenosis plane were selected, and the stenosis rate of each artery in the reconstruction range was automatically calculated with software. The patient's imaging data were divided into groups with two methods: ① according to the degree of SMA stenosis, the patients were divided into group Ⅰ (stenosis degree ≤70%) and groupⅡ (stenosis degree > 70%); ② LEAOD patients with different gender were respectively divided into three groups: middle-aged group (45-59 years old), pre-elderly group (60-74 years old) and elderly group (75-89 years old). The comparison between the stenosis degree of SMA and each artery within the scope of aorto-iliac artery was analyzed with Pearson simple correlation analysis. Results: The incidence of SMA stenosis in all LEAOD patients was 100%. Correlation analysis showed that there was no correlation between the stenosis degree of SMA and AA, LCIA, RCIA, LIIA, RIIA, LEIA, or REIA in group Ⅰ (n = 64) and group Ⅱ (n = 6), respectively (r value was -0.021, 0.023, 0.023, -0.137, 0.182, -0.113, 0.141, respectively, in group Ⅰ, and it was 0.020, -0.560, 0.010, 0.306, -0.204, -0.381, 0.393, respectively, in group Ⅱ, all P > 0.05). In 52 male patients, there was no correlation between the stenosis degree of SMA and AA, LCIA, RCIA, LIIA, RIIA, LEIA, or REIA in middle-aged group (n = 16), pre-elderly group (n = 27) and elderly group (n = 9), respectively (r value was -0.032, 0.024, 0.324, 0.146, 0.312, 0.008, 0.344, respectively, in middle-aged group, it was -0.108, -0.116, -0.040, -0.249, -0.082, -0.052, 0.096, respectively, in pre-elderly group, and it was 0.182, 0.311, 0.400, 0.360, 0.688, 0.498, 0.406, respectively, in elderly group, all P > 0.05). In 18 female patients, there was also no correlation between the stenosis degree of SMA and above each artery within the scope of aorto-iliac artery in pre-elderly group (n = 11) and elderly group (n = 6), respectively (the r value was -0.170, 0.040, -0.019, 0.152, 0.508, 0.042, 0.456, respectively, in pre-elderly group, and it was -0.660, 0.008, -0.055, -0.056, -0.213, 0.344, 0.011, respectively, in elderly group, all P > 0.05). The correlation in middle-aged group was not analyzed because there was only 1 patient. Conclusions Although the atherosclerotic changes in LEAOD patients can affect SMA and aorto-iliac artery at the same time, there was no correlation between the stenosis degree of SMA and each artery within the scope of aorto-iliac artery which may due to the differences in the histological structure and hemodynamics among different arteries. SMA atherosclerotic stenosis and occlusion is a relatively independent disease process for LEAOD.

Development of ovarian cancer involves the co-evolution of neoplastic cells together with the adjacent microenvironment. Steps of malignant progression including primary tumor outgrowth, therapeutic resistance, and distant metastasis are not determined solely by genetic alterations in ovarian cancer cells, but considerably shaped by the fitness advantage conferred by benign components in the ovarian stroma. As the dynamic cancer topography varies drastically during disease progression, heterologous cell types within the tumor microenvironment (TME) can actively determine the pathological track of ovarian cancer. Resembling many other solid tumor types, ovarian malignancy is nurtured by a TME whose dark side may have been overlooked, rather than overestimated. Further, harnessing breakthrough and targeting cures in human ovarian cancer requires insightful understanding of the merits and drawbacks of current treatment modalities, which mainly target transformed cells. Thus, designing novel and precise strategies that both eliminate cancer cells and manipulate the TME is increasingly recognized as a rational avenue to improve therapeutic outcome and prevent disease deterioration of ovarian cancer patients.
Animals ; Antineoplastic Agents ; pharmacology ; therapeutic use ; Female ; Humans ; Ovarian Neoplasms ; drug therapy ; pathology ; Tumor Microenvironment ; drug effects