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Background There are many factors that lead to dwarfism, and the mechanism has not yet been elucidated. Next-generation sequencing may identify candidate-related gene mutations, which may clarify the molecular cause. Aim To analyze genetic variation by using a constructed panel related to dwarfism by utilizing next-generation sequencing platform sequencing analysis to screen candidate-related gene mutations. Methods Physical and laboratory characteristics, including clinical examination, growth hormone drug challenge test, serum insulin-like growth factor-1 (IGF-1), IGF binding protein 3, other related tests, imaging examination, and chromosome karyotyping, were analyzed. Next-generation sequencing was performed to analyze pathogenicity variability. Results In the 39 dwarfism patients, 10 had pathogenicity variability. Gene variation was found in the OBSL1, SLC26A2, PTPN11, COL27AI, HDAC6, CUL7, FGFR3, DYNC2H1, GH1, and ATP7B genes. Of the 10 patients with pathogenicity variability, the related physical characteristics included double breast development and growth hormone deficiency, enuresis and indirect inguinal hernia on the left, two finger distance of 70.2 cm, head circumference of 49.2 cm, ischium/lower body length of 1.8 cm, weak limb muscles, and partial growth hormone deficiency. After 6 mo of growth hormone therapy, the concentrations of IGF-1 and IGF binding protein 3 increased from 215.2 ± 170.3 to 285.0 ± 166.0 and 3.9 ± 1.4 to 4.2 ± 1.1, respectively. Conclusion OBSL1, SLC26A2, PTPN11, COL27AI, HDAC6, CUL7, FGFR3, DYNC2H1, GH1, and ATP7B genes may be related to the incidence of dwarfism, and more research needs to be performed to elucidate the mechanism.

Background and objectives Patients with femoral neck fractures often suffer severe pain. This randomized controlled clinical study compared the effect of femoral nerve block (FNB) and fascia iliaca compartment block (FICB) in this population. Patients and methods Forty-six patients were randomly assigned to one of the two groups: FNB group (femoral nerve block, n=23) or FICB group (fascia iliaca compartment block, n=23). Before positioning for spinal anesthesia, patients received FNB with 15 mL of 0.5% ropivacaine or FICB with 40 mL of 0.5% ropivacaine. Pain was evaluated using a visual analogue scale (VAS) at rest and during hip flexion after admission to the operation room; at 3, 5, 8, and 10 min after analgesia intervention; and during positioning for spinal anesthesia. Positioning was attempted after 10 min of analgesia intervention in each group. Time required to perform spinal anesthesia, quality of positioning, and patient satisfaction were documented. Results The VAS scores in the FNB group were significantly lower than those in FICB group at 3 and 5 min after analgesia intervention (P=0.000). However, there were no significant differences in VAS between groups at 8 or 10 min or during positioning. Conclusion FNB and FICB produce similar analgesic effects in patients with femoral neck fractures, but FNB has a more rapid onset of pain relief.

BackgroundThe aim of this study is to investigate the potential clinical and prognostic value, role and driving molecular mechanisms of the origin recognition complex family in breast cancer.Resultsata from Oncomine, TCGA, GEO and ULCAN showed that ORC1L and ORC6L were highly expressed in breast cancer tissues, while the expression of ORC5L was inconsistent and there was no significant difference in the expression of ORC2L, ORC3L and ORC4L. High expression of ORC1L and ORC6L were mainly Her2 overexpressed subtype, and their expression were negatively correlated with patient age and positively correlated with tumor size, but not with lymph node metastasis, distant metastasis, or tumor stage. Expression of ORC5L was also negatively correlated with age and positively correlated with lymph node metastasis, but not with breast cancer molecular subtype and tumor size. Expression of ORC1L and ORC5L had high diagnostic value, and ORC6L had the highest diagnostic value in breast cancer. ORC6L was an independent poor prognostic factor for overall survival of breast cancer patients. It was involved in cell cycle progression, cell senescence, epigenetic regulation and other biological functions, and may regulate signaling pathways such as NF-KB, TP53 and WNT in breast cancer. We also found that the expression of ORC6L was related to the increased infiltration of Th1/2 cell and Treg cell, and decreased infiltration of Mast cell and NK cell.ConclusionsORC1L and ORC6L are highly expressed in breast cancer tissues, of which ORC6L has high diagnostic value and is an independent poor prognostic factor for overall survival of breast cancer patients. ORC6L may be involved in the occurrence and progression of breast cancer by regulating cell cycle progression, promoting the activation of cancer signaling pathways, and influencing tumor immune cells infiltration.

Background Here, we aimed to assess the association of ALK variants and alterations with ensartinib response duration in NSCLC, and explore the potential value of computed tomography (CT) radiomic features in predicting progression‐free survival (PFS). Methods We enrolled 88 patients with identified ALK variant NSCLC in a multicenter phase 2 trial, and assessed the impact of ALK variants and secondary ALK alterations on the clinical outcome (response duration) of patients receiving ensartinib. We also established a multifactorial model of clinicopathological and quantitative CT radiomic features to predict PFS and risk stratification. Kaplan–Meier analysis was conducted to identify risk factors for tumor progression. Results Univariate analysis indicated a statistical difference (p = 0.035) in PFS among ALK variants in three classifications (V1, V3, and other variants). Secondary ALK alterations were adversely associated with PFS both in univariate (p = 0.008) and multivariate (p = 0.04) analyses and could identify patients at high risk for early progression in the Kaplan–Meier analysis (p = 0.002). Additionally, response duration to crizotinib, The secondary ALK alterations were adversely associated with ensartinib response duration in NSCLC, and ALK variants might not correlate with PFS. CT quantitative radiomic signature could add prognostic prediction value of clinicopathological features.

Ebola virus (EBOV) infection leads to staggeringly high mortality rates. Effective and low-cost treatments are urgently needed to control frequent EBOV outbreaks in Africa. In this study, we report that a natural compound called berbamine hydrochloride strongly inhibits EBOV replication in vitro and in vivo. Our work further showed that berbamine hydrochloride acts by direct binding to the cleaved EBOV glycoprotein (GPcl), disrupting GPcl interaction with viral receptor NPC1, thus blocking the fusion of viral and cellular membranes. Our data support the probability of developing anti-EBOV small molecule drugs by targeting viral GPcl. More importantly, since berbamine hydrochloride has been used in clinic to treat leukopenia, it holds great promise of being quickly repurposed as an anti-EBOV drug.

Background: The inflammatory reaction is the main cause of acute respiratory distress syndrome and multiple organ failure in patients with Coronavirus disease 2019, especially those with severe and critical illness. Several studies suggested that high-dose vitamin C reduced inflammatory reaction associated with sepsis and acute respiratory distress syndrome. This study aimed to determine the efficacy and safety of high-dose vitamin C in Coronavirus disease 2019. Methods: We included 76 patients with Coronavirus disease 2019, classified into the high-dose vitamin C group (loading dose of 6g intravenous infusion per 12 hr on the first day, and 6g once for the following 4 days, n=46) and the standard therapy group (standard therapy alone, n=30). Results: The risk of 28-day mortality was reduced for the high-dose vitamin C versus the standard therapy group (HR=0.14, 95% CI, 0.03-0.72). Oxygen support status was improved more with high-dose vitamin C than standard therapy (63.9% vs 36.1%). No safety events were associated with high-dose vitamin C therapy. Conclusion: High-dose vitamin C may reduce the mortality and improve oxygen support status in patients with Coronavirus disease 2019 without adverse events.

There is a trend that many applications are deployed among multiple public or private clouds. Due to the data asset protection and network communication cost, it is not feasible to gather all the data from different clouds to a single cloud. Inter-cloud graph data mining is becoming a new challenge. The strongly connected component algorithm is a basic graph algorithm that plays an important role in many important areas such as social network analysis, web search and even biomedical areas. However, only few distributed processing frameworks provide this algorithm, which is currently unavailable in joint cloud computing frameworks. To this end, this paper proposes a BSP (Bulk Synchronous Parallel) service over joint cloud computing and a BSP-based strongly connected component algorithm which can be easily realized on any distributed platform as long as it provides BSP service. Many graph algorithms can be easily developed in the cross-cloud computation environment by using this BSP service. Moreover, this BSP-based strongly connected component algorithm not only fills the gaps in the domain of distributed graph processing frameworks, but also extends its scalability to the level of cross-cloud computing by using the BSP service.

Background Preoperative tumor invasiveness in clinical stage T1N0M0 lung adenocarcinoma is critical for optimal surgical procedure. The aim of the present study was to evaluate the relationship between the ground-glass opacity component (GGOc) / solid component (Sc) proportion measured using three-dimensional (3D) computer-quantified computer tomography (CT) number analysis to explore radiographic features for invasiveness prediction in cT1N0M0 lung adenocarcinomas. Methods A total of 375 surgically resected cT1N0M0 lung adenocarcinoma patients were included. The relativity between the GGOc/Sc proportion and lepidic growth pattern percentage was assessed using Spearman’s rank analysis. Multiple logistic regression analysis was used to determine independent factors from radiographic features for tumor invasiveness. Prediction probability for tumor invasiveness was analysed using a receiver operating characteristic curve (ROC). Results We found that the GGOc proportion was positively correlated with lepidic growth pattern percentage (r = 0.67, P

The aim of this study is to investigate the effects of endogenous vasoactive substances on the occurrence of intradialytic hypertension (IDH) in patients during maintenance hemodialysis. Thirty-four maintenance hemodialysis patients were enrolled in this trial, and 17 of them were diagnosed with IDH (defined as an increase in blood pressure of at least 10 mmHg during or immediately after a hemodialysis session), while 17 age-matched and sex-matched controls without IDH were selected for a retrospective comparison. We collected patients' blood samples before and after a dialysis session and measured the plasma levels of N-terminal fragment brain natriuretic peptide, renin, angiotensin-II, aldosterone (ALD), angiotensin-converting enzyme (ACE), endothelin-1 (ET-1), nitric oxide (NO), norepinephrine (NOR), and adrenomedullin. The post-dialysis serum ET-1 concentrations were significantly higher (4.09 ± 2.06 vs. 2.75 ± 1.34 pg/mL, P

This paper erected a model of relationship between manufacturing green supply chain and enterprise green behaviors by using the Analytic Network Process theory. We took Guangxi province as an example. With the help of Analytic Network Process and related software data statistics, we draw out the effect of enterprise green behaviors with respect to implement green supply chain Management. And we analyze the reasons for this situation and put forward countermeasures and suggestions.