Aim
Recent studies have shown that sarcopenia is associated with negative postoperative outcomes. However, none of these studies analysed muscle strength or physical performance, which are also ...important components of sarcopenia. The present study aimed to investigate whether sarcopenia itself, as defined by low muscle mass, strength and physical performance, would predict complications after surgery for colorectal cancer.
Method
We conducted a prospective study of patients who underwent surgery for colorectal cancer at our department between August 2014 and February 2015. Sarcopenia was diagnosed by a combination of third lumbar vertebra muscle index (L3 MI), handgrip strength and 6‐m usual gait speed. Univariate and multivariate analyses evaluating the risk factors for postoperative complications were performed. Only complications classified as Grade II or above according to the Clavien–Dindo classification were analysed in this study.
Results
A total of 142 patients were included in the study, and 17 patients were diagnosed as having sarcopenia. Postoperative complications of Grade II or above occurred in 40 patients, including 10 with sarcopenia and 30 without sarcopenia. Multivariate analysis showed that sarcopenia and previous abdominal surgery were independent risk factors for postoperative complications. Patients with sarcopenia also had an obvious tendency to a higher incidence of infectious complications. By comparing two logistic regression models, sarcopenia showed a better predictive power for postoperative complications than did low muscle mass.
Conclusion
Sarcopenia and previous abdominal surgery are independent risk factors for complications after surgery for colorectal cancer. Including a functional aspect to the definition of sarcopenia may result in a better prediction of postoperative complications.
•A high throughput platform using UAV and multi-spectral camera to extract phenotypes in plot scale.•NDVI measured from air had high correlation with hand-held sensor for the contrasting wheat ...cultivars and managements through growth season.•NDVI around the flowering adjusted by ground coverage had a higher correlation with final yield.•Data fusion of multiple sources will provide more accurate phenotype and can be a useful strategy for high throughput phenotyping.
While new technologies can capture high-resolution normalized difference vegetation index (NDVI), a surrogate for biomass and leaf greenness, it is a challenge to efficiently apply this technology in a large breeding program. Here we validate a high-throughput phenotyping platform to dynamically monitor NDVI during the growing season for the contrasting wheat cultivars and managements. The images were rapidly captured (approximately 1ha in 10min) by an unmanned aerial vehicle (UAV) carrying a multi-spectral camera (RedEdge) at low altitude (30–50m, 2–5cm2 pixel size). NDVIs for individual plots were extracted from the reflectance at Red and Near Infrared wavelengths represented in a reconstructed and segmented ortho-mosaic. NDVI measured by UAV and RedEdge camera were strongly correlated with those measured by hand held GreenSeeker (R2=0.85) but were offset with UAV readings about 0.2 units higher and more compressed. The high-throughput phenotyping platform captured the variation of NDVI among cultivars and treatments (i.e. irrigation, nitrogen and sowing). During the growing season, the NDVI approached saturation around flowering time (∼0.92), then gradually decreased until maturity (∼0.35). Strong correlations were found between image NDVI around flowering time and final yield (R2=0.82). Given that the image NDVI includes signals from background (soil and senescenced leaves), ground cover from a high resolution hand-held camera was used to adjust the NDVI from UAV. This slightly increased the correlation between adjusted NDVI and yield (R2=0.87). The high-throughput phenotyping platform in this study can be used in agronomy, physiology and breeding to explore the complex interaction of genotype, environment and management. Data fusion from ground and aerial sampling improved the accuracy of low resolution data to integrate observations across multiple scales.
Recent reports have highlighted the challenge of keeping global average temperatures below 2 °C and-even more so-1.5 °C (IPCC 2018). Fossil-fuel burning and cement production release ∼90% of all CO2 ...emissions from human activities. After a three-year hiatus with stable global emissions (Jackson et al 2016; Le Quéré C et al 2018a ; IEA 2018), CO2 emissions grew by 1.6% in 2017 to 36.2 Gt (billion tonnes), and are expected to grow a further 2.7% in 2018 (range: 1.8%-3.7%) to a record 37.1 2 Gt CO2 (Le Quéré et al 2018b). Additional increases in 2019 remain uncertain but appear likely because of persistent growth in oil and natural gas use and strong growth projected for the global economy. Coal use has slowed markedly in the last few years, potentially peaking, but its future trajectory remains uncertain. Despite positive progress in ∼19 countries whose economies have grown over the last decade and their emissions have declined, growth in energy use from fossil-fuel sources is still outpacing the rise of low-carbon sources and activities. A robust global economy, insufficient emission reductions in developed countries, and a need for increased energy use in developing countries where per capita emissions remain far below those of wealthier nations will continue to put upward pressure on CO2 emissions. Peak emissions will occur only when total fossil CO2 emissions finally start to decline despite growth in global energy consumption, with fossil energy production replaced by rapidly growing low- or no-carbon technologies.
•An UPLC–MS/MS method was established to determinate multi-mycotoxin in milk.•The optimal solid phase extraction (SPE) cartridge was selected at 0.025μgkg−1.•The optimal SPE conditions were ...screened.•The matrix effects of different milk matrixes were evaluated and compensated.
In this study, a sensitive and rapid method has been developed for the simultaneous determination of aflatoxin M1, ochratoxin A, zearalenone and α-zearalenol in milk by ultra high performance liquid chromatography combined with electrospray ionisation triple quadrupole tandem mass spectrometry (UHPLC–ESI–MS/MS). The milk samples were purified using Oasis HLB cartridge. The matrix effects were evaluated by determining the signal suppression–enhancement (SSE) and corrected by external matrix-matched calibration. The limits of quantity (LOQ) of the mycotoxins were in the range of 0.003–0.015μgkg−1. The high correlation coefficients (R2⩾0.996) were obtained in the range of 0.01–1.00μgkg−1 of the mycotoxins, along with good recovery (87.0–109%), repeatability (3.4–9.9%) and intra-laboratory reproducibility (4.0–9.9%) at the concentrations of 0.025, 0.1 and 0.5μgkg−1. The detected rates of the mycotoxins were from 16.7% to 96.7% in raw milk, liquid milk and milk powder samples collected from the dairy farms and supermarkets in Beijing. The method proposed is suitable for the simultaneous determination of aflatoxin M1, ochratoxin A, zearalenone, and α-zearalenol, and could be performed for analysing the mycotoxins in milk.
The recent discovery of cancer stem cells (CSCs) has played a pivotal role in changing our view of carcinogenesis and chemotherapy. Based on this concept, CSCs are responsible for the formation and ...growth of neoplastic tissue and are naturally resistant to chemotherapy, explaining why traditional chemotherapies can initially shrink a tumor but fails to eradicate it in full, allowing eventual recurrence. Recently, we identified a CSC population in hepatocellular carcinoma (HCC) characterized by their CD133 phenotype. However, the molecular mechanism by which it escapes conventional therapies remains unknown. Here, we examined the sensitivity of these cells to chemotherapeutic agents (doxorubicin and fluorouracil) and the possible mechanistic pathway by which resistance may be regulated. Purified CD133+ HCC cells isolated from human HCC cell line and xenograft mouse models survived chemotherapy in increased proportions relative to most tumor cells which lack the CD133 phenotype; the underlying mechanism of which required the preferential expression of survival proteins involved in the Akt/PKB and Bcl-2 pathway. Treatment of CD133+ HCC cells with an AKT1 inhibitor, specific to the Akt/PKB pathway, significantly reduced the expression of the survival proteins that was normally expressed endogenously. In addition, treatment of unsorted HCC cells with both anticancer drugs in vitro significantly enriched the CD133+ subpopulation. In conclusion, our results show that CD133+ HCC cells contribute to chemoresistance through preferential activation of Akt/PKB and Bcl-2 cell survival response. Targeting of this specific survival signaling pathway in CD133+ HCC CSCs may provide a novel therapeutic model for the disease.
To identify the critical issues that affect the evolution of microstructure during additive manufacturing, we investigated the influence of process parameters on the evolution of the dimensional and ...surface quality, microstructure, internal defects, and mechanical properties in 316L stainless steel (SS) components fabricated using laser engineered net shaping (LENS®), a directed energy deposition (DED) additive manufacturing (AM) technique. The results show that the accumulation of un-melted powder particles on the side walls of deposited sections can be avoided by selecting a laser under-focused condition. Moreover, we report that the variation of melt pool width is more sensitive to laser power than to the depth of the melt pool. The formation of a so-called “hierarchical” microstructure with cellular morphology is attributable to a combination of layer deposition and rapid solidification, which are characteristics of AM. Finally, we discuss microstructure evolution and defect formation, particularly the formation of multiple interfaces and the presence of un-melted powder particles and pores, in light of the dynamic convective fluid flow and rapid solidification that occur in the melt pool. X-ray computed tomography (X-CT) was used to precisely map the spatial distribution of pores in the DED components. The evolution of microstructure during DED is discussed in the context of related thermal phenomena in an effort to provide fundamental insight into the mechanisms that govern defect formation.
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