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Extracellular vesicles (EVs) are valuable sources for the discovery of useful cancer biomarkers. This study explores the potential usefulness of tumor cell-derived EV membrane proteins as plasma biomarkers for early detection of colorectal cancer (CRC). EVs were isolated from the culture supernatants of four CRC cell lines by ultracentrifugation, and their protein profiles were analyzed by LC-MS/MS. Bioinformatics analysis of identified proteins revealed 518 EV membrane proteins in common among at least three CRC cell lines. We next used accurate inclusion mass screening (AIMS) in parallel with iTRAQ-based quantitative proteomic analysis to highlight candidate proteins and validated their presence in pooled plasma-generated EVs from 30 healthy controls and 30 CRC patients. From these, we chose 14 potential EV-derived targets for further quantification by targeted MS assay in a separate individual cohort comprising of 73 CRC and 80 healthy subjects. Quantitative analyses revealed significant increases in ADAM10, CD59 and TSPAN9 levels (2.19- to 5.26-fold, p < 0.0001) in plasma EVs from CRC patients, with AUC values of 0.83, 0.95 and 0.87, respectively. Higher EV CD59 levels were significantly correlated with distant metastasis (p = 0.0475), and higher EV TSPAN9 levels were significantly associated with lymph node metastasis (p = 0.0011), distant metastasis at diagnosis (p = 0.0104) and higher TNM stage (p = 0.0065). A two-marker panel consisting of CD59 and TSPAN9 outperformed the conventional marker CEA in discriminating CRC and stage I/II CRC patients from healthy controls, with AUC values of 0.98 and 0.99, respectively. Our results identify EV membrane proteins in common among CRC cell lines and altered plasma EV protein profiles in CRC patients and suggest plasma EV CD59 and TSPAN9 as a novel biomarker panel for detecting early-stage CRC.

Objective Decision aids have been developed to help prospective parents make informed, shared decisions about medical tests, but these options are rapidly changing. This study aimed to identify and evaluate publicly available decision aids written in English for prospective parents seeking prenatal test information. Methods A systematic review process was followed using 3 sources: known decision aid repositories, fetal medicine organisations and Google. The search, screening process, quality assessment, and data extraction was performed by two independent researchers. The quality assessment of the decision aids was based on the International Patient Decision Aids Standards (IPDAS v.4.0). Results We identified 13 decision aids, which varied in the screening and diagnostic tests that they discussed. No decision aid met all the IPDAS v.4.0. criteria and no decision aid reported updated risk of miscarriage for amniocentesis and chorionic villus sampling (CVS). There was a lack of decision aids for some common decisions in the prenatal context. Conclusion We identified outdated content in current prenatal decision aids. The findings will inform healthcare professionals of the quality of current prenatal decision aids, which may facilitate their patients’ informed decision-making about prenatal tests. Innovation Considerations for improving future decision aids are outlined.

Purpose The U.S. Department of Veterans Affairs (VA) health care system monitors time from referral to specialist visit. We compared wait times for carpal tunnel release (CTR) at a VA hospital and its academic affiliate. Methods We selected patients who underwent CTR at a VA hospital and its academic affiliate (AA) (2010–2015). We analyzed time from primary care physician (PCP) referral to CTR, which was subdivided into PCP referral to surgical consultation and surgical consultation to CTR. Electrodiagnostic testing (EDS) was categorized in relation to surgical consultation (prereferral vs postreferral). Multivariable Cox proportional hazard models were used to examine associations between clinical variables and surgical location. Results Between 2010 and 2015, VA patients had a shorter median time from PCP referral to CTR (VA: 168 days; AA: 410 days), shorter time from PCP referral to surgical consultation (VA: 43 days; AA: 191 days), but longer time from surgical consultation to CTR (VA: 98 days; AA: 55 days). Using multivariable models, the VA was associated with a 35% shorter time to CTR (AA hazard ratio [HR], 0.65; 95% confidence interval [CI], 0.52–0.82) and 75% shorter time to surgical consultation (AA HR, 0.25; 95% CI, 0.20–0.03). Receiving both prereferral and postreferral EDS was associated with almost a 2-fold prolonged time to CTR (AA HR, 0.49; 95% CI, 0.36–0.67). Conclusions The VA was associated with shorter overall time to CTR compared with its AA. However, the VA policy of prioritizing time from referral to surgical consultation may not optimally incentivize time to surgery. Repeat EDS was associated with longer wait times in both systems. Clinical Relevance Given differences in where delays occur in each health care system, initiatives to improve efficiency will require targeting the appropriate sources of preoperative delay. Judicious use of EDS may be one avenue to decrease wait times in both systems.

In the current study, a predictive model on tool flank wear rate during ultrasonic vibration-assisted milling is proposed. One benefit of ultrasonic vibration is the frequent separation between too...

In laser-assisted milling, higher temperature in shear zone softens the material potentially resulting in a shift of mean residual stress, which significantly affects the damage tolerance and fatigue performance of product. In order to guide the selection of laser and cutting parameters based on the preferred mean residual stress, inverse analysis is conducted by predicting residual stress based on guessed process parameters, which is defined as the forward problem, and applying iterative gradient search to find process parameters for next iteration, which is defined as the inverse problem. An analytical inverse analysis is therefore proposed for the mean residual stress in laser-assisted milling. The forward problem is solved by analytical prediction of mean residual stress after laser-assisted milling. The residual stress profile is predicted through the calculation of thermal stress, by treating laser beam as heat source, and plastic stress by first assuming pure elastic stress in loading process, then obtaining true stress with kinematic hardening followed by the stress relaxation. The variance-based recursive method is applied to solve inverse problem by updating process parameters to match the measured mean residual stress. Three cutting parameters including depth of cut, feed per tooth, and cutting speed, and two laser parameters including laser-tool distance and laser power, are updated with respected to the minimization of resulting residual stress and measurement in each iteration. Experimental measurements are referred on the laser-assisted milling of Ti-6Al-4V grade 5 and ELI. The percentage difference between experiments and predictions is less than 5% for both materials, and the selection is completed within 50 loops.

Gastric cancer(GC), one of the most common malignancies worldwide, seriously threatens human health due to its high morbidity and mortality. Precancerous lesion of gastric cancer(PLGC) is a critical stage for preventing the occurrence of gastric cancer, and PLGC therapy has frequently been investigated in clinical research. Exploring the proper animal modeling methods is necessary since animal experiment acts as the main avenue of the research on GC treatment. At present, N-methyl-N'-nitro-N-nitroso-guanidine(MNNG) serves as a common chemical inducer for the rat model of GC and PLGC. In this study, MNNG-based methods for modeling PLGC rats in related papers were summarized, and the applications and effects of these methods were demonstrated by examples. Additionally, the advantages, disadvantages, and precautions of various modeling methods were briefly reviewed, and the experience of this research group in exploring modeling methods was shared. This study is expected to provide a reference for the establishment of MNNG-induced PLGC animal model, and a model support for the following studies on PLGC.

In the current study, an analytical predictive model on residual stress after ultrasonic vibration–assisted milling is proposed in an effort to provide an accurate and reliable reference. Three types of tool-workpiece separation criteria are checked based on the tool center instantaneous position and velocity. Type I criterion examines the instantaneous velocity of tool tip under combined effects of feed movement and vibration. Type II criterion examines the position of tool center. Type III criterion describes the smaller chip size due to the overlaps between current and previous tool paths as a result of vibration. If none of these criterions is satisfied, the mechanical and thermal stresses are nonzero. The residual stress is then predicted through the calculation of stress distribution in loading process, incremental stress change considering kinematic hardening in plasticity, and the elastic stress release during relaxation process. The proposed predictive residual stress model in ultrasonic vibration–assisted milling is validated through comparison with experimental measurements on AISI 316L alloy. The proposed predictive model is able to match the measured residual stress with high accuracy of 6.4% average error and 23.6% maximum error among all cases. In addition, a sensitivity analysis is conducted. Higher axial depth of milling results in less compressive residual stress. Moreover, both higher ultrasonic vibration amplitude and higher spindle rotation frequency result in more compressive residual stress for AISI 316L alloy.

In current study, an inverse analysis is conducted on tool life based on five process parameters, by predicting tool life based on guessed process parameters, which is defined as the forward problem, and applying iterative gradient search to find process parameters for next iteration, which is defined as the inverse problem. For forward problem, the effect of laser beam is included by treating it as a heat source on top surface. Next, the milling configuration is simplified as orthogonal cutting followed by angular-dependent coordinate transformation at each rotation angle. The effective force due to flank wear is predicted by integrating the stress components along the chip cross section and wear land, and the average stress on tool-workpiece interface is then derived based on the effective force and contact area. The average temperature along the interface is derived by considering secondary and rubbing heat sources. The stress and temperature affects the abrasion, adhesion, and diffusion which determine the flank wear rate. The tool life is then decided as the cutting time when the flank wear limit of the tool is reached. The iterative gradient search or variance-based recursive method is applied to solve inverse problem and update process parameters to match the tool life. Three cutting parameters including depth of cut, feed per tooth, and cutting speed, and two laser parameters including laser-tool distance and laser power are updated in each iteration. The proposed model is validated through experimental measurements on the laser-assisted milling of K24 nickel-based superalloy. The proposed predictive model is able to match the measured tool life with high computation efficiency less than 540 s and high accuracy of less than 7% difference.

An analytical predictive model for residual stress in laser-assisted milling considering material recrystallization caused by laser preheating is proposed. The laser preheating temperature field is predicted by treating the laser beam as a heat source on top surface following Gaussian distribution. Heat convection between top surface and the environment is factored into account. Isothermal boundary conditions are assumed for the area of interest with conduction within the material. Next, the milling configuration is treated as orthogonal cutting at each instance. All process parameters including cutting depth, cutting speed, and tool geometry are therefore transferred. The recrystallization effect and thus the grain growth are considered through calibrated models describing the dependency of strain rate, strain, and temperature on dynamic recrystallization process for specific alloys using exponent functions. The residual stress is then predicted through the calculation of elastic stress distribution in loading process, actual stress with kinematic hardening, and the stress change during relaxation. The proposed model is validated through experimental measurements on the laser-assisted milling of Si3N4 and Ti-6Al-4V. The predictive model matches the trends of experimental measurements with agreement to an average error less than 30% in all cases. The proposed analytical model is valuable for providing a fast, credible, and physics-based method for the prediction of residual stress in laser-assisted milling of various materials.

Iron (Fe) transport and reallocation are essential to Fe homeostasis in plants, but it is unclear how Fe homeostasis is regulated, especially under stress. Here we report that NPF5.9 and its close homolog NPF5.8 redundantly regulate Fe transport and reallocation in Arabidopsis. NPF5.9 is highly upregulated in response to Fe deficiency. NPF5.9 expresses preferentially in vasculature tissues and localizes to the trans-Golgi network, and NPF5.8 showed a similar expression pattern. Long-distance Fe transport and allocation into aerial parts was significantly increased in NPF5.9-overexpressing lines. In the double mutant npf5.8 npf5.9, Fe loading in aerial parts and plant growth were decreased, which were partially rescued by Fe supplementation. Further analysis showed that expression of PYE, the negative regulator for Fe homeostasis, and its downstream target NAS4 were significantly altered in the double mutant. NPF5.9 and NPF5.8 were shown to also mediate nitrate uptake and transport, although nitrate and Fe application did not reciprocally affect each other. Our findings uncovered the novel function of NPF5.9 and NPF5.8 in long-distance Fe transport and homeostasis, and further indicated that they possibly mediate nitrate transport and Fe homeostasis independently in Arabidopsis., Iron (Fe) is essential to plant growth and development, but its transport and homeostasis are very complex. This study reports that two nitrate transporters, NPF5.9 and NPF5.8, act redundantly in long-distance Fe transport and homeostasis independent of their nitrate transport function, revealing a novel mechanism of Fe reallocation mediated by NPF family members.

Flumazenil is an imidazobenzodiazepine derivative that antagonizes the actions of benzodiazepines. The degradation pathway elucidation plays an important role in the drug quality control. In this work, a reliable LC-Q-TOF/MS method was developed to separate and identify the degradation products of flumazenil generated in the stress testing conducted according to the ICH Q1A(R2) guideline. Fifteen degradation products were detected in total including three reported impurities and twelve unknown impurities. Based on the chromatographic and mass spectrometric data acquired, the structures of all the degradation products were identified. Besides, two major degradants were synthetized and further confirmed by NMR. The degradation pathways of flumazenil were elucidated, and the degradation characteristics of benzodiazepines were also discussed. The obtained results are of both great importance for the quality control of flumazenil and good reference for the degradation study of other benzodiazepines.

Key Points Question What are the complications, total payments, and out-of-pocket expenses associated with minor hand surgical procedures performed in different operative settings? Findings In this population-based cohort study of 468 365 minor hand surgical procedures, complications occurred in 3.4% of procedures performed in hospital outpatient departments, 3.3% in ambulatory surgery centers, and 2.9% in office settings. However, ambulatory and hospital-based procedures were significantly more expensive for payers and patients. Meaning The findings of this study suggest that transitioning minor hand procedures to the office may reduce spending for payers and patients without compromising postoperative outcomes., Importance Surgical procedures can be performed in different settings, but the association between the operative setting and patient safety and cost to the patient and payer is unknown. Objective To examine differences in complications, total payments, and out-of-pocket (OOP) spending for minor hand surgical procedures performed in office, ambulatory surgery center (ASC), and hospital outpatient department (HOPD) operative settings. Design, Setting, and Participants A retrospective, population-based cohort study was conducted using deidentified claims data from private employer-sponsored health insurance from January 1, 2009, to December 31, 2017. Patients aged 18 years or older undergoing carpal tunnel release, trigger finger release, excision of wrist ganglion, and excision of small hand masses (N = 468 365) were included. Exposures Operative setting, defined as procedures performed in the clinic setting, ASC, and HOPD. Main Outcomes and Measures Complications during the 90-day postoperative period, total payments (total facility and payer reimbursement), and OOP spending. Results Of the 468 365 patients, 296 378 women (63.3%) and 171 987 men (36.7%) underwent minor hand surgical procedures from 2009 to 2017, with 284 889 procedures (60.8%) performed in HOPDs, 158 659 procedures (33.9%) performed in ASCs, and 24 817 procedures (5.3%) performed in the office setting. Ninety-day complications occurred in 3.4% of procedures performed in HOPDs, 3.3% in ASCs, and 2.9% in office settings (P, This cohort study examines the differences in cost among hospital outpatient departments, ambulatory surgery centers, and office settings for minor hand surgical procedures.

Background Health insurance reimbursement structure has evolved, with patients becoming increasingly responsible for their health care costs through rising out-of-pocket expenses. High levels of cost sharing can lead to delays in access to care, influence treatment decisions, and cause financial distress for patients. Methods Patients undergoing the most common outpatient reconstructive plastic surgery operations were identified using Truven MarketScan databases from 2009 to 2017. Total cost of the surgery paid to the insurer and out-of-pocket expenses, including deductible, copayment, and coinsurance, were calculated. Multivariable generalized linear modeling with log link and gamma distribution was used to predict adjusted total and out-of-pocket expenses. All costs were inflation-adjusted to 2017 dollars. Results The authors evaluated 3,165,913 outpatient plastic and reconstructive surgical procedures between 2009 and 2017. From 2009 to 2017, total costs had a significant increase of 25 percent, and out-of-pocket expenses had a significant increase of 54 percent. Using generalized linear modeling, procedures performed in outpatient hospitals conferred an additional $1999 in total costs (95 percent CI, $1978 to $2020) and $259 in out-of-pocket expenses (95 percent CI, $254 to $264) compared with office procedures. Ambulatory surgical center procedures conferred an additional $1698 in total costs (95 percent CI, $1677 to $1718) and $279 in out-of-pocket expenses (95 percent CI, $273 to $285) compared with office procedures. Conclusions For outpatient plastic surgery procedures, out-of-pocket expenses are increasing at a faster rate than total costs, which may have implications for access to care and timing of surgery. Providers should realize the increasing burden of out-of-pocket expenses and the effect of surgical location on patients' costs when possible.

Background: Patients are increasingly responsible for direct medical expenditures with a growth in out-of-pocket (OOP) expenses, which can impede access to care and affect treatment. This study aims to investigate the impact of capitation on OOP expenses for surgical and presurgical treatment for thumb carpometacarpal (CMC) joint arthritis. Methods: Patients with a diagnosis of thumb CMC arthritis who underwent surgery (2009-2016) comprised our study cohort. Sociodemographic data, total cost, and OOP expenses were collected at the time of surgery and 2 years prior. Patients were stratified by insurance type: fee-for-service (FFS), managed care (MC), Medicare-MC, and Medicare-FFS. Capitated plans were included in the MC and Medicare-MC groups. A generalized linear regression was performed to investigate the association between OOP expenses and insurance type. Results: Our cohort consisted of 7780 patients with FFS insurance, 953 with MC insurance, 2136 with Medicare-FFS, and 265 with Medicare-MC. There was no difference in total costs for FFS and MC (FFS $7281 vs. MC $7306, P = .73; Medicare-FFS $6663 vs. Medicare-MC $6183, P = .19). However, patients with FFS incurred significantly greater OOP costs (FFS $952 vs. MC $434, P < .01; Medicare-FFS $343 vs. Medicare-MC $232, P < .01). In the adjusted regression, MC, Medicare-FFS, and Medicare-MC had approximately 21% to 46% of the predicted OOP expenses of patients with FFS plans ( P < .01). Conclusion: Despite similar total costs, OOP expenses were significantly greater for patients with FFS or Medicare-FFS insurance. With healthcare costs transitioning to patients, providers should consider cost sharing when conferring care to help alleviate the financial burden placed on patients.

Chiang Ching-kuo (1910-1988) is an essential figure to understand the contemporary Chinese world. This article examines the most important chapters of his life, from his experience in the Soviet Union until his presidency in Taiwan during the 1970s and 1980s. Chiang Ching-kuos vital trajectory allows us to study the complexities behind the particular Chinese modernization project that materialised in the island as a result of the combination of both exogenous and endogenous elements and a degree of contingency that was not expected by the political elite of the Kuomintang. This work seeks to contribute to the development of the Chinese and Taiwanese studies in Spanish. It advances the concept of Chinese short century and opens up new avenues for future research that seek to cast into doubt the dominant discourse around the Taiwanese miracle. Chiang Ching-kuo (1910-1988) es una figura imprescindible en la comprensión del Mundo Chino contemporáneo. El presente artículo propone una aproximación a través de los capítulos más importantes de su vida, desde su experiencia en la Unión Soviética hasta su presidencia de Taiwán durante la década de los años setenta y ochenta. La trayectoria vital de Chiang Ching-kuo permite asomarse al complejo nudo de relaciones existentes detrás del especifico proyecto modernizador chino que se cristalizó en la isla debido a una combinación de elementos exógenos y endógenos con un grado de contingencia no prevista por la élite política del Kuomintang. Este trabajo, que busca contribuir al desarrollo de los estudios chinos y taiwaneses en español, propone el concepto de un corto siglo chino y sugiere nuevas líneas de investigación conducentes a cuestionar el discurso dominante sobre el milagro taiwanés.

An analytical predictive model for temperature in laser-assisted milling considering both laser preheating temperature and machining induced temperature rise is proposed. The preheating temperature at top surface is predicted first by considering the heat generation from laser and convection. The heat generation rate is described by Gaussian equation. Within the material, heat conduction is considered with isothermal boundary conditions at side and bottom surfaces. The machining temperature is considered by transferring the milling configuration to orthogonal cutting at each instance. The shearing heat source and secondary rubbing heat source are included for machining temperature prediction. The heat source is calculated from the cutting or plowing forces, and a mirror heat source method is applied to predict temperature rise through integration. The proposed model is validated through experimental measurements on silicon nitride ceramics and Ti-6Al-4V alloy. The proposed predictive model matches the experimental measurements with less than 7.1% difference at laser spot and 5.2% difference in front of the cutting zone with computation time less than 15 s. The model is valuable for providing a fast, credible, and physics-based method for the prediction of temperature in laser-assisted milling of various materials. The overall temperature distribution is accurately calculated by predicting laser preheating temperature and machining induced temperature rise.

A growing number of studies focus on improving the understanding of how the households’ adaptations can be encouraged in the process of coastal hazards and risk management. Particularly, this proce...

Inverse analysis is of value identifying viable solutions of process parameters that can achieve specified process performance. In this study, an inverse analysis method is proposed for the cutting force in laser-assisted milling on Inconel 718. The method uses the analytical model to solve the direct problem and applies a variance-based recursive method to guide the inverse analysis. The half-slot milling is simplified as an orthogonal cutting at each instant, forces in cutting and radial directions are calculated under microstructure evolution, and the axial force is predicted according to tool geometry and coordinates transformation. The inverse analysis identifies five process parameters including feed rate, axial depth of milling, laser preheating temperature, spindle speed, and rake angle, and finds the optimal solution for target performance, the resultant cutting force. Four experiments verified the effectiveness of the proposed method because of a maximum error less than 8% between predicted forces and experimental measurements. The proposed method is valuable in terms of providing a reference for the selection of process parameters under certain cutting force requirements.

Background and purpose Promoting energy metabolism is known to provide therapeutic effects for obesity and associated metabolic disorders. The present study evaluated the therapeutic effects of the newly identified bouchardatine (Bou) on obesity-associated metabolic disorders and the molecular mechanisms of these effects. Experimental approach The molecular mode of action of Bou for its effects on lipid metabolism was first examined in 3T3-L1 adipocytes and HepG2 cells. This was followed by an evaluation of its metabolic effects in mice fed a high-fat diet for 16 weeks with Bou being administered in the last 5 weeks. Further mechanistic investigations were conducted in pertinent organs of the mice and relevant cell models. Key results In 3T3-L1 adipocytes, Bou reduced lipid content and increased sirtuin 1 (SIRT1) activity to facilitate liver kinase B1 (LKB1) activation of AMPK. Chronic administration of Bou (50 mg∙kg−1 every other day) in mice significantly attenuated high-fat diet-induced increases in body weight gain, dyslipidaemia and fatty liver without affecting food intake and no adverse effects were detected. These metabolic effects were associated with activation of the SIRT1–LKB1–AMPK signalling pathway in adipose tissue and liver. Of particular note, UCP1 expression and mitochondrial biogenesis were increased in both white and brown adipose tissues of Bou-treated mice. Incubation with Bou induced similar changes in primary brown adipocytes isolated from mice. Conclusions and implications Bou may have therapeutic potential for obesity-related metabolic diseases by increasing the capacity of energy expenditure in adipose tissues and liver through a mechanism involving the SIRT1–LKB1–AMPK axis.

The ongoing development of the digital music ecosystem has fostered a proliferation of products. In this study our aim was to address the digital aspects of physical music products. We analyzed data collected via a survey, using a research model based on an enhanced version of the theory of reasoned action, into which we integrated the following: intangibility attributes of perceived risk, accessibility, and predicted risk; price, range, and trialability as attributes that define the types of digital product; and the entertainment attributes of anticipation of customers' needs and perceived playfulness. Results indicated that consumers' attitude and intention were influenced mainly by product range and, simultaneously, that their decision to buy digital music was influenced by attitude and subjective norms. The results suggest that as trialability had a nonsignificant impact on consumer intention and attitude, consumers' perceived risk may be lowered by reducing the cost of digital music.

Recrystallization effects are considered for the proposed force modeling method of Inconel 718 laser-assisted end milling. Oblique cutting forces are transferred to equivalent orthogonal cutting forces through the chip flow model. According to the classic Oxley’s contact mechanics theory, cutting and axial forces are calculated when shear stress is the same as chip flow stress. The Johnson-Cook model predicts the flow stress as a function of strain, strain rate, and temperature. And one parameter in this model has a physical meaning of initial yield stress, which varies with grain size. The Johnson-Mehl-Avrami-Kolmogorov (JMAK) model describes the dynamic recrystallization process of crystalline material and then predicts grain size through the recrystallized volume fraction. Overall, recrystallization effects are considered by applying a grain size-dependent parameter in the Johnson-Cook model. And the dynamic recrystallization process is considered to predict grain size. Five experiments are conducted through a single-beam coaxial laser-assisted milling spindle. And experimental measurements are compared with analytical predictions. Overall, the proposed model provides accurate results in F x and F z prediction. The maximum error is less than 20%.

It has been shown that treatment of cancer cells with c-KIT G-quadruplex binding ligands can reduce their c-KIT expression levels thus inhibiting cell proliferation and inducing cell apoptosis. Herein, a series of new 7-substituted-5,6-dihydrobenzo[c]acridine derivatives were designed and synthesized. Subsequent biophysical evaluation demonstrated that the derivatives could effectively bind to and stabilize c-KIT G-quadruplex with good selectivity against duplex DNA. It was found that 12-N-methylated derivatives with a positive charge introduced at 12-position of 5,6-dihydrobenzo[c]acridine ring had similar binding affinity but lower stabilizing ability to c-KIT G-quadruplex DNA, compared with those of nonmethylated derivatives. Further molecular modeling studies showed possible binding modes of G-quadruplex with the ligands. RT-PCR assay and Western blot showed that compound 2b suppressed transcription and translation of c-KIT gene in K562 cells, which was consistent with the property of an effective G-quadruplex binding ligand targeting c-KIT oncogene promoter. Further biological evaluation showed that compound 2b could induce apoptosis through activation of the caspase-3 cascade pathway.

Two neutral merocyanine-based near-infrared fluorescent probes were for the first time developed through rational engineering of the classical cationic cyanine scaffold IR-780 for in vivo imaging of amyloid-β plaques. In vivo NIRF imaging revealed that the probe could penetrate the blood-brain barrier and efficiently differentiate the living transgenic and wild-type mice.

A new phloroglucinol derivative, 1-(2,4-dihydroxy-6-methoxyphenyl)-1-tridecanone (1), along with a known analogue, 1-(2,4,6-trihydroxyphenyl)-1-hexadecanone (2), was isolated from the leaves of Syzygium austroyunnanense. Their structures were elucidated on the basis of spectroscopic data and comparison with the literature.