The HIV capsid mimics karyopherin engagement of FG-nucleoporins

HIV can infect non-dividing cells because the viral capsid can overcome the selective barrier of the nuclear pore complex and deliver the genome directly into the nucleus1,2. Remarkably, the intact HIV capsid is more than 1,000 times larger than the size limit prescribed by the diffusion barrier of the nuclear pore3. This barrier in the central channel of the nuclear pore is composed of intrinsically disordered nucleoporin domains enriched in phenylalanine-glycine (FG) dipeptides. Through multivalent FG interactions, cellular karyopherins and their bound cargoes solubilize in this phase to drive nucleocytoplasmic transport4. By performing an in vitro dissection of the nuclear pore complex, we show that a pocket on the surface of the HIV capsid similarly interacts with FG motifs from multiple nucleoporins and that this interaction licences capsids to penetrate FG-nucleoporin condensates. This karyopherin mimicry model addresses a key conceptual challenge for the role of the HIV capsid in nuclear entry and offers an explanation as to how an exogenous entity much larger than any known cellular cargo may be able to non-destructively breach the nuclear envelope.

Transferable microfiber laser arrays for high-sensitivity thermal sensing

Functional microfibers have attracted extensive attention due to their potential in health monitoring, radiation cooling, power management and luminescence. Among these, polymer fiber-based microlasers have plentiful applications due to their merits of full color, high quality factor and simple fabrication. However, developing a facile approach to fabricate stable microfiber lasing devices for high-sensitivity thermal sensing is still challenging. In this research, we propose a design of a stable and transferable membrane inlaid with whispering-gallery-mode plasmon hybrid microlaser arrays for thermal sensing. By integrating plasmonic gold nanorods with polymer lasing microfiber arrays that are embedded in the polydimethylsiloxane matrix, whispering-gallery-mode lasing arrays with high quality are achieved. Based on the thermo-optical effect of the membrane, a tuning range of 1.462 nm for the lasing peak shift under temperature variation from 30.6 °C to 38.7 °C is obtained. The ultimate thermal sensing sensitivity can reach up to 0.181 nm °C-1 and the limit of detection is 0.131 °C, with a high figure of merit of 2.961 °C-1. Moreover, a stable laser linewidth can be maintained within the tuning range due to plasmon-improved photon confinement and PDMS-reduced scattering loss. This work is expected to provide a facile approach for the fabrication of high-sensitivity on-chip thermometry devices.

Ophiopogonin D improves oxidative stress and mitochondrial dysfunction in pancreatic β cells induced by hydrogen peroxide through Keap1/Nrf2/ARE pathway in diabetes mellitus

Diabetes mellitus (DM) is a metabolic disease characterized by high blood sugar. Due to its complex pathogenesis, no effective drugs have been found so far. Ophiopogonin D (OP-D) has anti-inflammatory, antioxidant, and anticancer activities, but its role in DM has not been studied so far. Hydrogen peroxide (H2O2) was used to induce INS-1 cells. INS-1 cells induced by H2O2 were treated with OP-D, and cell apoptosis, oxidative stress damage, and related indexes of mitochondrial function were respectively detected by cell counting kit-8, flow cytometry, western blot, enzyme-linked immunosorbent assay, real-time quantitative polymerase chain reaction, JC-1 fluorescent probe, and related kits. Subsequently, molecular docking techniques were used to investigate the relationship between OP-D and Keap1 and to explore the regulation mechanism of OP-D on H2O2-induced oxidative stress and mitochondrial function in INS-1 cells. OP-D inhibited the apoptosis and oxidative stress level of H2O2-induced INS-1 cells, thereby inhibiting cell damage. Moreover, OP-D inhibited mitochondrial dysfunction in H2O2-induced INS-1 cells. At last, we found that Keap1/Nrf2 specific signaling pathway inhibitor ML385 was able to reverse the inhibitory effect of OP-D on H2O2-induced oxidative stress and mitochondrial dysfunction in INS-1 cells. In conclusion, OP-D improves oxidative stress and mitochondrial dysfunction in pancreatic β cells induced by H2O2 through activating Keap1/Nrf2/ARE pathway in DM.

Tunable random lasers via phase transition for information encryption

Introducing phase transition materials to random systems provides a promising route to create new optoelectronic functionalities of random lasers. Here, a phase transition random laser with switchable lasing modes is reported, which is designed with a thermoresponsive hydrogel as scattering medium. By manipulating the phase transition in hydrogel, random lasing modes can be switched reversibility between incoherent and coherent random lasing. The phenomenon derives from the changing of light scattering properties in different phase states, thus affecting the optical feedback path of random lasing. Besides, based on its controllable and easily detectable time-domain characteristics, the phase transition random laser is applied in information encoding and transmission. It is the first time that the transition from coherent to incoherent random lasing is observed by varying the sample phase states. This work will inspire the design and application of novel random lasers in photoelectric device.

Nonpolar Solvent Modulated Inkjet Printing of Nanoparticle Self-Assembly Morphologies

Patterning of luminescent nanomaterials is critical in the fields of display and information encryption, and inkjet printing technology have shown remarkable significance with the advantage of fast, large-scalable and integrative. However, inkjet printing nanoparticle deposits with high-resolution and well controlled morphology from nonpolar solvent droplets is still challenging. Herein, a facile approach of nonpolar solvent modulated inkjet printing of nanoparticles self-assembly patterns driven by the shrinkage of the droplet and inner solutal convection is proposed. Through regulating the solvent composition and nanoparticle concentration, multicolor light-emissive upconversion nanoparticle self-assembly microarrays with tunable morphologies are achieved, showing the integration of designable microscale morphologies and photoluminescences for multimodal anti-counterfeit. Furthermore, inkjet printing of nanoparticles self-assembled continuous lines with adjustable morphologies by controlling the coalescence and drying of the ink droplets is achieved. The high resolution of inkjet printing microarrays and continuous lines' width < 5 and 10 µm is realized, respectively. This nonpolar solvent-modulated inkjet printing of nanoparticle deposits approach facilitates the patterning and integration of different nanomaterials, and is expected to provide a versatile platform for fabricating advanced devices applied in photonics integration, micro-LED, and near-field display.

Analysis on the resource and environmental carrying capacity of coal city based on improved system dynamics model: a case study of Huainan, China

As the major energy bases, numerous coal cities in China are facing severe challenges in terms of resources and environment. In order to overcome the disadvantages of static evaluation, this study selected Huainan city, a typical coal city in China, as the case, and combined with the improved SD (system dynamics) model, analyzed its RECC (resource and environmental carrying capacity) systematically and dynamically. Firstly, a SD model of RECC system including resource-environment and society-economy subsystem was constructed. Then, the control parameters were determined objectively according to the analysis results of BP-DEMATAL model. Thirdly, we designed 18 simulation scenarios based on orthogonal test to dynamically predict the development trend of RECC in different conditions. Results show that: (1) From 2019 to 2030, the RECC of Huainan is generally on the rise. (2) In all simulation scenarios, test 12 is the most effective way of improving RECC. (3) The factors with the greatest influence on the simulation results are GDP, output value of secondary production, total expending on environmental protection, and coal production. This study provides a reference for the analysis method of RECC and the sustainable development of coal cities.

Dual chaos encryption for color images enabled in a WGM-random hybrid microcavity

Chaotic cryptography as an important means for digital image encryption has become a great cryptographic project in the current information age. As a novel microcavity laser, a random laser (RL) has a natural advantage for a chaotic system, relying on its spectral randomness. Nevertheless, this encrypted image generally suffers from outline exposition when an unsuitable key from a single RL spectrum is employed. Herein, to realize reliable dual chaotic encryption, an internally integrated hybrid microcavity in random and whispering-gallery-mode (WGM) is reported. Within this coupled microcavity, the rhodamine-6G-doped inner-wall of the fiber serves as the gain medium and the optical cavities for WGM lasing; an RL mode is enabled by scattered particles and the gain medium (Rh6G). Interestingly, the smooth inner wall of the fiber with a high-quality (Q) factor and tight optical confinement make WGM lasing occur earlier than RL. What is more, a fast energy transfer process from the WGM laser to Ag nanoparticles and the resultant localized surface plasmon resonance effects from Ag NPs to RL jointly promote the output of the random laser. As a result, a free transformation from the WGM laser to RL is successfully modulated by varying the pump power alone, thus providing two initial values for dual chaos image encryption. This work provides an in-depth understanding of a WGM-random inner-coupled cavity and promotes the application of a hybrid microcavity in the field of information security.

Dynamic manipulation of WGM lasing by tailoring the coupling strength

Miniaturized lasing with dynamic manipulation is critical to the performance of compact and versatile photonic devices. However, it is still a challenge to manipulate the whispering gallery mode lasing modes dynamically. Here, we design the quasi-three-dimensional coupled cavity by a micromanipulation technique. The coupled cavity consists of two intersection polymer microfibers. The mode selection mechanism is demonstrated experimentally and theoretically in the coupled microfiber cavity. Dynamic manipulation from multiple modes to single-mode lasing is achieved by controlling the coupling strength, which can be quantitatively controlled by changing the coupling angle or the coupling distance. Our work provides a flexible alternative for the lasing mode modulation in the on-chip photonic integration.

Experimental demonstration of optical stochastic cooling

Particle accelerators and storage rings have been transformative instruments of discovery, and, for many applications, innovations in particle-beam cooling have been a principal driver of that success¹. Stochastic cooling (SC), one of the most important conceptual and technological advances in this area^2–6, cools a beam through granular sampling and correction of its phase-space structure, thus bearing resemblance to a ‘Maxwell’s demon’. The extension of SC from the microwave regime up to optical frequencies and bandwidths has long been pursued, as it could increase the achievable cooling rates by three to four orders of magnitude and provide a powerful tool for future accelerators. First proposed nearly 30 years ago, optical stochastic cooling (OSC) replaces the conventional microwave elements of SC with optical-frequency analogues and is, in principle, compatible with any species of charged-particle beam^7,8. Here we describe a demonstration of OSC in a proof-of-principle experiment at the Fermi National Accelerator Laboratory’s Integrable Optics Test Accelerator^9,10. The experiment used 100-MeV electrons and a non-amplified configuration of OSC with a radiation wavelength of 950 nm, and achieved strong, simultaneous cooling of the beam in all degrees of freedom. This realization of SC at optical frequencies serves as a foundation for more advanced experiments with high-gain optical amplification, and advances opportunities for future operational OSC systems with potential benefit to a broad user community in the accelerator-based sciences.

Stochastic cooling at optical frequencies is demonstrated in an experiment at the Fermi National Accelerator Laboratory’s Integrable Optics Test Accelerator, substantially increasing the bandwidth of stochastic cooling compared with conventional systems.

Electrically Tunable Polymer Whispering-Gallery-Mode Laser

Microlasers hold great promise for the development of photonics and optoelectronics. At present, tunable microcavity lasers, especially regarding in situ dynamic tuning, are still the focus of research. In this study, we combined a 0.7Pb(Mg_1/3Nb_2/3)O₃-0.3PbTiO₃ (PMN-PT) piezoelectric crystal with a Poly [9,9-dioctylfluorenyl-2,7-diyl] (PFO) microring cavity to realize a high-quality, electrically tunable, whispering-gallery-mode (WGM) laser. The dependence of the laser properties on the diameter of the microrings, including the laser spectrum and quality (Q) value, was investigated. It was found that with an increase in microring diameter, the laser emission redshifted, and the Q value increased. In addition, the device effectively achieved a blueshift under an applied electric field, and the wavelength tuning range was 0.71 nm. This work provides a method for in situ dynamic spectral modulation of microcavity lasers, and is expected to provide inspiration for the application of integrated photonics technology.

An all-optical tunable polymer WGM laser pumped by a laser diode

An all-optical tunable whispering gallery mode (WGM) laser pumped by a laser diode is proposed. The laser is fabricated by filling a silica capillary with a light-emitting conjugated polymer solution. Based on the thermo-optic effect of the hydroxyl groups in the polymer and capillary, the effective refractive index of the WGM cavity changes by the auxiliary irradiation of the laser, and the wavelength of the WGM mode shifts correspondingly. The emission wavelength was continuously tuned over 13 nm with the irradiation power intensity changing from 0 to 22.41 W cm^-2, showing a corresponding tuning rate of 0.58 nm W^-1 cm^-2. The wavelength tuning process has a fast response time that is within 2.8 s. It shows strong stability, with the output intensity showing no obvious attenuation after 100 minutes of operation. The proposed laser exhibits good repeatability, stability and high tuning efficiency, and could be applied as a light source for on-chip devices.

Development and tuning of the microwave resonant cavity of a cryogenic cesium atomic fountain clock

A cryogenic cesium atomic fountain clock is a novel clock with the microwave cavity and atomic free flight region placed in liquid nitrogen. On the one hand, the blackbody radiation shift is reduced at cryogenic temperature. On the other hand, the vacuum in the atomic free flight region is optimized, and the background gas collision shift reduced. The microwave resonant cavity is the most important unit in a cryogenic cesium atomic fountain clock. Through theoretical and simulative investigation, this study designs the configuration and dimensions for an optimized microwave cavity. Concurrently, experiments reveal the effects of temperature, pressure, humidity, and other factors on the resonant frequency of the microwave cavity. Combining the theoretical and experimental study, we obtain the resonant frequency difference between the microwave cavity in a cryogenic vacuum and at room temperature and ambient pressure. By subtracting this frequency difference, we adjust the microwave cavity for room temperature and ambient pressure, then vacuumize and immerse it in liquid nitrogen for verification and fine tuning. Finally, we determine that the microwave cavity resonant frequency deviation from the clock transition frequency is 10 kHz with an unloaded quality factor of 25 000, which meets the application requirements of the cryogenic cesium atomic fountain clock.

[SARS-CoV-2 with transcription regulatory sequence motif mutation poses a greater threat]

OBJECTIVE

To analyze the mutations in transcription regulatory sequences (TRSs) of coronaviruss (CoV) to provide the basis for exploring the patterns of SARS-CoV-2 transmission and outbreak.

METHODS

A combined evolutionary and molecular functional analysis of all sets of publicly available genomic data of viruses was performed.

RESULTS

A leader transcription regulatory sequence (TRS-L) usually comprises the first 60-70 nts of the 5' UTR in a CoV genome, and the body transcription regulatory sequences (TRS-Bs) are located immediately upstream of the genes other than ORF1a and 1b. In each CoV genome, the TRS-L and TRS-Bs share a specific consensus sequence, namely the TRS motif. Any changes of nucleotide residues in the TRS motifs are defined as TRS motif mutations. Mutations in the TRS-L or multiple TRS-Bs result in superattenuated variants. The spread of super-attenuated variants may cause an increase in asymptomatic or mild infections, prolonged incubation periods and a decreased detection rate of the viruses, thus posing new challenges to SARS-CoV-2 prevention and control. The super-attenuated variants also increase their possibility of long-term coexistence with humans. The Delta variant is significantly different from all the previous variants and may lead to a large-scale transmission. The Delta variant (B.1.617.2) with TRS motif mutation has already appeared and shown signs of spreading in Singapore, which, and even the Southeast Asia, may become the new epicenter of the next wave of SARS-CoV-2 outbreak.

CONCLUSION

TRS motif mutation will occur in all variants of SARS-CoV-2 and may result in super-attenuated variants. Only super-attenuated variants with TRS motif mutations will eventually lose the abilities of cross-species transmission and causing outbreaks.

Study on ecological security evaluation of Anhui Province based on normal cloud model

As the main driving force for the economic development of East China, the economic development of Anhui has been in good state in recent years. In 2019, the GDP of Anhui Province has reached 3711.4 billion yuan with an increase of 7.5% over the previous year. With the rapid economic development, many environmental problems such as resource depletion, vegetation degradation, and air quality decline have gradually increased. The ecological environment is an important foundation for social and economic development. To examine the status of regional ecological security, this study builds a comprehensive evaluation index system based on the "pressure-state-response" (PSR) framework and uses the entropy weight method to determine the index weight. Then the normal cloud model is introduced to dynamically calculate the ecological security status of Anhui Province from 2010 to 2019. The results show that (1) the ecological security status of Anhui has improved significantly and reached a safe status in 2019. (2) The ecological security status of 16 prefecture-level cities has also been improved, and the ecological security status of these cities is at level III and above except Huainan. There are significant differences in internal development, and the ecological security status of the southern region is ahead of the northern and central region. (3) From the perspective of the criterion level, the pressure and response subsystems develop faster, and the state subsystem develops more slowly. Therefore, it is necessary to pay more attention to the impact of the state subsystem on the overall development of ecological security in the future.

Study on the differences of gut microbiota composition between phlegm-dampness syndrome and qi-yin deficiency syndrome in patients with metabolic syndrome

BACKGROUND

Metabolic syndrome (MS) is a group of complex medical conditions that can lead to serious cardiovascular and cerebrovascular diseases. According to the theory of traditional Chinese medicine (TCM), MS can be divided into two main subtypes termed 'phlegm-dampness syndrome' (TSZE) and 'qi-yin deficiency syndrome' (QYLX). At present, the research into intestinal microbiota of different TCM syndromes of MS and its association with clinical manifestation is lacking.

MATERIALS AND METHODS

Using 16S rRNA sequencing, we performed a cross-sectional analysis of human gut microbiota between two different TCM syndromes (QYLX and TSZE, n=60) of MS, and their differences with healthy participants (n=30).

RESULTS

We found that the QYLX and TSZE groups differ from the healthy control group in the overall gut microbiota composition, and some specific microbial taxa and functional pathways. Moreover, significantly differentially abundant taxa and distinct BMI-correlated taxa were observed between QYLX and TSZE groups, suggesting the potential contribution of gut microbiota to the distinction between the two TCM syndromes. The predicted functional profiles also showed considerable differences, especially pathways related to amino acid metabolism and lipopolysaccharide synthesis.

CONCLUSION

Our study highlights the gut microbiota's contribution to the differentiation between two TCM syndromes of MS and may provide the rationale for adopting different microbiota-directed treatment strategies for different TCM syndromes of MS in the future.

The Application of Low-Frequency Transition in the Assessment of the Second-Order Zeeman Frequency Shift

Second-order Zeeman frequency shift is one of the major systematic factors affecting the frequency uncertainty performance of cesium atomic fountain clock. Second-order Zeeman frequency shift is calculated by experimentally measuring the central frequency of the (1,1) or (−1,−1) magnetically sensitive Ramsey transition. The low-frequency transition method can be used to measure the magnetic field strength and to predict the central fringe of (1,1) or (−1,−1) magnetically sensitive Ramsey transition. In this paper, we deduce the formula for magnetic field measurement using the low-frequency transition method and measured the magnetic field distribution of 4 cm inside the Ramsey cavity and 32 cm along the flight region experimentally. The result shows that the magnetic field fluctuation is less than 1 nT. The influence of low-frequency pulse signal duration on the accuracy of magnetic field measurement is studied and the optimal low-frequency pulse signal duration is determined. The central fringe of (−1,−1) magnetically sensitive Ramsey transition can be predicted by using a numerical integrating of the magnetic field “map”. Comparing the predicted central fringe with that identified by Ramsey method, the frequency difference between these two is, at most, a fringe width of 0.3. We apply the experimentally measured central frequency of the (−1,−1) Ramsey transition to the Breit-Rabi formula, and the second-order Zeeman frequency shift is calculated as 131.03 × 10⁻¹⁵, with the uncertainty of 0.10 × 10⁻¹⁵.

Results of a hybrid cardiovascular rehabilitation program (in-hospital plus home) in patients with low income

Background

One of the main problems facing cardiovascular rehabilitation (CR) is patient care and adherence. However, due to the low level of economic income of the patients who are cared for in our center, the possibility of going to CR in a conventional way is very difficult since they do not have the necessary resources to cover transportation, cost of the sessions, among others.

It has been shown that the greater the number of sessions attended by the patient, the greater the reduction in cardiovascular risk, however the role of a hybrid program with a decreased number of face-to-face sessions has not been established.

Purpose

Present the results of a hybrid training program (in-hospital plus home) in a low-income population. Education through supervised sessions plus home physical training in a patient with bases for exercise can improve their adherence with better results.

Methods

A cohort of patients with heart disease who were referred to the Cardiovascular Rehabilitation program between May 2017 and February 2019 was included. The socioeconomic level was classified into 6 strata according to occupation, income, housing, economic dependents, place of origin and family health status. After risk stratification, the patients participated in a hybrid program that consisted of 6 in-hospital sessions, once a week, in which the training to be carried out at home was prescribed by means of a triptych. An exercise test was performed before and after completing the program, as well as psychological and nutritional intervention. Statistical analysis was performed using SPSS 21.0 software. All p values less than 0.05 were considered significant.

Results

In the study period, of the total number of patients discharged for heart disease from the hospital, 61% were referred to cardiovascular rehabilitation, of which only 45% (n=39) completed the program, the reasons for dropping out were multiple and the lowest socioeconomic level (1) was the most frequent (figure 1). The main referral diagnosis was ischemic heart disease in 82%. The majority of patients were men, 95%. A significant improvement was observed in load METs, maximum heart rate, heart rate recovery (figure 2).

Conclusion

The implementation of a hybrid cardiovascular rehabilitation program (in-hospital + home) was associated with an improvement in the exercise test parameters of patients who successfully completed the program.

Funding Acknowledgement

Type of funding sources: None. Figure 1Figure 2

Mangiferin Promotes Bregs Level, Activates Nrf2 Antioxidant Signaling, and Inhibits Proinflammatory Cytokine Expression in Murine Splenic Mononuclear Cells In Vitro

Recent studies indicated that regulatory B cells (Bregs) and nuclear factor erythroid 2-related factor 2 (Nrf2) antioxidant signaling pathway play important roles in the pathogenesis of chronic graft-versus-host disease (cGVHD). Mangiferin (MA), a polyphenol compound, has been reported to activate Nrf2/antioxidant-responsive element (ARE) signaling pathway. This study was aimed to investigate the effects of MA on Bregs and Nrf2 antioxidant signaling in murine splenic mononuclear cells (MNCs) in vitro. Our results revealed that MA could increase the Bregs level in murine splenic MNCs. Moreover, MA up-regulated the expression of Bregs-associated immunosuppressive factor interleukin-10 (IL-10) by activating the Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) and extracellular signal-regulated kinase (ERK) signaling in murine splenic MNCs. Meanwhile, MA inhibited the proinflammatory cytokines IL-2 and interferon-γ (INF-γ) at both mRNA and protein levels. MA also enhanced the transcription and protein expression of Nrf2 and NADPH quinine oxidoreductase 1 (NQO1), whereas decreased that of Kelch-like ECH-associated protein 1 (Keap1) in murine splenic MNCs. Moreover, MA promoted the proliferation and inhibited the apoptosis of murine splenic MNCs. These results suggested that MA exerts immunosuppressive effects by upregulating the Bregs level, activating the Nrf2 antioxidant pathway, and inhibiting the expression of pro-immunoinflammatory factors. MA, as a natural immunomodulatory and anti-inflammatory agent, may have a potential role in the prophylaxis and treatment of cGVHD.

[Clinical efficacy and safety analysis of camrelizumab combined with apatinib as a second-line therapy for unresectable hepatocellular carcinoma: a multicenter retrospective study]

Objective: To analyze the clinical efficacy and safety of camrelizumab combined with apatinib as a second-line therapy for unresectable hepatocellular carcinoma (HCC). Methods: Ninety-four cases with mid-and advanced-stage HCC who received camrelizumab combined with apatinib as second-line treatment were enrolled. Routine blood test, blood biochemical indexes, tumor stage, tumor imaging characteristics, previous treatment strategies and other clinical data before treatment were documented. Imaging examination follow-up results and adverse reactions during treatment were followed up until the end of follow-up or loss of follow-up or death. Kaplan-Meier method was used to analyze the clinical efficacy. Results: As of the last follow-up, 94 cases with mid-and advanced-stage HCC had received camrelizumab combined with apatinib as second-line treatment. Among them, 15 cases were lost to follow-up, 31 cases died, and 48 cases survived. The overall remission rate was 31.9%. The overall disease control rate was 71.3%. The median time to disease-free progression was 6.6 months. The median time to disease progression was not yet available. The 1-year cumulative survival rate was 62.3%. Grade 3 and above adverse reactions mainly included were thrombocytopenia (7.4%), abdominal pain (4.3%), active hepatitis (4.3%), leukopenia (4.3%), diarrhea (3.2%), hand-foot syndrome (3.2%). All adverse reactions were effectively controlled. Conclusion: Camrelizumab combined with apatinib can effectively prolong the survival period of patients with mid-and advanced-stage HCC, and it is well tolerated.

A fast and effective detection framework for whole-slide histopathology image analysis

Pathologists generally pan, focus, zoom and scan tissue biopsies either under microscopes or on digital images for diagnosis. With the rapid development of whole-slide digital scanners for histopathology, computer-assisted digital pathology image analysis has attracted increasing clinical attention. Thus, the working style of pathologists is also beginning to change. Computer-assisted image analysis systems have been developed to help pathologists perform basic examinations. This paper presents a novel lightweight detection framework for automatic tumor detection in whole-slide histopathology images. We develop the Double Magnification Combination (DMC) classifier, which is a modified DenseNet-40 to make patch-level predictions with only 0.3 million parameters. To improve the detection performance of multiple instances, we propose an improved adaptive sampling method with superpixel segmentation and introduce a new heuristic factor, local sampling density, as the convergence condition of iterations. In postprocessing, we use a CNN model with 4 convolutional layers to regulate the patch-level predictions based on the predictions of adjacent sampling points and use linear interpolation to generate a tumor probability heatmap. The entire framework was trained and validated using the dataset from the Camelyon16 Grand Challenge and Hubei Cancer Hospital. In our experiments, the average AUC was 0.95 in the test set for pixel-level detection.

The effect of PD-1 expression on tumor-associated macrophage in T cell lymphoma

PURPOSE

Our study aimed to explore the programmed death 1 (PD-1) expression on tumor-associated macrophage (TAM) in T cell non-Hodgkin lymphoma (T-NHL) and its relationship with lymphoma prognosis. The effect of PD-1 expression on the function of macrophages was also studied.

METHODS

Multispectral image quantitative analysis was applied for detecting PD-1 expression on macrophages in T cell lymphoma tissues. The Kaplan-Meier analysis was performed to evaluate the value of PD-1 expression of TAM in predicting the overall survival of T-NHL. PD-1 overexpression THP-1-derived macrophage was constructed and was cocultured with Jurkat cells to explore the effect of PD-1 on macrophage function.

RESULTS

In 17 T cell lymphoma cases, the 1-year overall survival rate was significantly lower in patients with higher PD-1 expression on TAMs (0.25 vs 0.86, p < 0.05). After co-cultured with Jurkat cells, classically activated (M1)-related markers on PD-1 overexpressed macrophages were significantly lower than those on controls, while the expressions of alternatively activated (M2) related markers were similar. The PD-1 overexpressed macrophages showed inhibited phagocytosis (4.42% vs 40.7%, p < 0.001) and increased IL-10 secretion (144.48 pg/ml vs 32.32 pg/ml, p < 0.001).

CONCLUSION

High PD-1 expression on TAMs in T-NHL may predict poor prognosis. The PD-1 overexpression of macrophages significantly inhibited polarization of M1 macrophages and phagocytosis, and more IL-10 was excreted. These changes may enhance the pro-tumor effects of tumor microenvironment.

Photothermal-assisted antibacterial application of graphene oxide-Ag nanocomposites against clinically isolated multi-drug resistant Escherichia coli

In the field of public health, treatment of multidrug-resistant (MDR) bacterial infection is a great challenge. Herein, we provide a solution to this problem with the use of graphene oxide-silver (GO-Ag) nanocomposites as antibacterial agent. Following established protocols, silver nanoparticles were grown on graphene oxide sheets. Then, a series of in vitro studies were conducted to validate the antibacterial efficiency of the GO-Ag nanocomposites against clinical MDR Escherichia coli (E. coli) strains. GO-Ag nanocomposites showed the highest antibacterial efficiency among tested antimicrobials (graphene oxide, silver nanoparticles, GO-Ag), and synergetic antibacterial effect was observed in GO-Ag nanocomposites treated group. Treatment with 14.0 µg ml-1 GO-Ag could greatly inhibit bacteria growth; remaining bacteria viabilities were 4.4% and 4.1% for MDR-1 and MDR-2 E. coli bacteria, respectively. In addition, with assistance of photothermal effect, effective sterilization could be achieved using GO-Ag nanocomposites as low as 7.0 µg ml-1. Fluorescence imaging and morphology characterization uncovered that bacteria integrity was disrupted after GO-Ag nanocomposites treatment. Cytotoxicity results of GO-Ag using human-derived cell lines (HEK 293T, Hep G2) suggested more than 80% viability remained at 7.0 µg ml-1. All the results proved that GO-Ag nanocomposites are efficient antibacterial agent against multidrug-resistant E. coli.

Prevalence of Cognitive Frailty Phenotypes and Associated Factors in a Community-Dwelling Elderly Population

OBJECTIVES

Cognitive frailty was notable target for the prevention of adverse health outcomes in future. The goal of this study was to use a population-based survey to investigate cognitive frailty phenotypes and potentially sociodemographic factors in elderly Chinese individuals.

DESIGN

Cross-sectional study.

SETTING

General community.

PARTICIPANTS

A total of 5328 elderly adults (aged 60 years or older, mean age 71.36 years) enrolled in the Shanghai study of health promotion for elderly individuals with frailty.

MEASUREMENTS

The 5-item FRAIL scale and the 3-item Rapid Cognitive Screen tools were used to assess physical frailty and cognitive impairment, including dementia or mild cognitive impairment (MCI). Physical frailty was diagnosed by limitations in 3 or more of the FRAIL scale domains and pre-physical frailty by 1-2 limitations. Subjective cognitive decline (SCD) and pre-MCI SCD, was diagnosed with two self-report measures based on memory and other cognitive domains in elderly adults.

RESULTS

Of the participating individuals, 97.17% (n= 5177, female 53.4%) were eligible. Notably, 9.67%, 41.61% and 35.20% of participants were MCI, SCD and pre-MCI SCD; 35.86% and 4.41% exhibited physical pre-frailty and frailty; and 19.86% and 6.30% exhibited reversible and potential reversible cognitive frailty. Logistic regression analyses indicated that physical frailty phenotypes were significantly associated with MCI with SCD, and pre-MCI with SCD. Older single females with a high education level were more likely to exhibit the reversible cognitive frailty; and younger elderly individuals with a middle education level were at lower risk for potentially reversible cognitive frailty.

CONCLUSIONS

The prevalence of pre-physical and reversible cognitive frailty was high in elderly individuals and age was the most significant risk factor for all types of frailty phenotypes. To promote the rapid screening protocol of cognitive frailty in community-dwelling elderly is important to find high-risk population, implement effective intervention, and decrease adverse prognosis.

Phytochemicals of garlic: Promising candidates for cancer therapy

Of the numerous health benefits of garlic, the anticancer effect is probably the most noticeable. Observations over the past years have shown that the consumption of garlic in the diet provides strong protection against cancer risk. Previous studies involving garlic phytochemicals have usually focused on the cancer chemopreventive properties, but there is little published evidence showing its therapeutic potential in cancer treatment. In view of the multitargeted carcinoma actions and lack of severe toxicity, some components of garlic are likely to play vital roles in the selective killing of cancer cells. However, the rational design of experimental studies and clinical trials are required to verify this concept. This paper discusses the promises and pitfalls of garlic for the treatment of cancer.

Using Positively Charged Magnetic Nanoparticles to Capture Bacteria at Ultralow Concentration

Detecting bacteria at low concentrations without time-consuming culture processes would allow rapid diagnoses. Since electrostatic attraction exists between negatively charged bacterial cells and positively charged magnetic nanoparticles (NP+), capture of bacteria holds great promise towards achieving this goal. Here, we present a rapid and highly efficient approach to capture Escherichia coli, which was used as a model for gram-negative bacteria. Capture of E. coli at very low concentrations of 10 and 100 CFU/mL using NP+ is rapidly and efficiently achieved within 1 h. Moreover, the capture efficiency of NP+ was over 90% by analyzing the number of bacterial colonies on the plate. Optical and transmission electron microscopy confirmed the bacterial capture abilities of electrically charged nanoparticles (NPs). In contrast, negatively charged magnetic nanoparticles (NP-) did not show affinities towards E. coli. These results showed that bacterial cells, such as E. coli, carry a negative charge. Unlike a ligand-dependent capture system, our designed NP+ has potentials to capture a broad range of bacteria via electrostatic attractions.

Effective capture of circulating tumor cells from an S180-bearing mouse model using electrically charged magnetic nanoparticles

Background

Technology enabling the separation of rare circulating tumor cells (CTCs) provides the potential to enhance our knowledge of cancer metastasis and improve the care of cancer patients. Modern detection approaches commonly depend on tumor antigens or the physical size of CTCs. However, few studies report the detection of CTCs by the electrical differences between cancer cells and normal cells.

Results

In this study, we report a procedure for capturing CTCs from blood samples using electrically charged superparamagnetic nanoparticles (NPs). We found that only positively charged NPs attached to cancer cells, while negatively charged NPs did not. The capture method with positively charged NPs offered a sensitivity of down to 4 CTCs in 1 mL blood samples and achieved a superior capture yield (> 70%) for a high number of CTCs in blood samples (10³–10⁶ cells/mL). Following an in vitro evaluation, S180-bearing mice were employed as an in vivo model to assess the specificity and sensitivity of the capture procedure. The number of CTCs in blood from tumor-bearing mice was significantly higher than that in blood from healthy controls (on average, 75.8 ± 16.4 vs. zero CTCs/100 μL of blood, p < 0.0001), suggesting the high sensitivity and specificity of our method.

Conclusions

Positively charged NPs combined with an in vivo tumor model demonstrated that CTCs can be distinguished and isolated from other blood cells based on their electrical properties.

Electronic supplementary material

The online version of this article (10.1186/s12951-019-0491-1) contains supplementary material, which is available to authorized users.

Beneficial Effects of Corn Silk on Metabolic Syndrome

Metabolic syndrome (MS) is a very common medical problem worldwide. It includes obesity, hypertension, hyperglycemia, and abnormal levels of triglycerides and high-density lipoprotein cholesterol. It is closely associated with insulin resistance and may lead to diabetes mellitus, liver diseases, or cardiovascular diseases. Corn silk (CS), a traditional Chinese medicine, has been reported to have multiple beneficial effects, including hypotensive, anti-diabetic, and hypolipidemic properties. This suggests that corn silk could be used to treat or prevent metabolic syndrome. In this review, we will discuss the potential role of corn silk in different components of metabolic syndrome.

DBS: a fast and informative segmentation algorithm for DNA copy number analysis

Background

Genome-wide DNA copy number changes are the hallmark events in the initiation and progression of cancers. Quantitative analysis of somatic copy number alterations (CNAs) has broad applications in cancer research. With the increasing capacity of high-throughput sequencing technologies, fast and efficient segmentation algorithms are required when characterizing high density CNAs data.

Results

A fast and informative segmentation algorithm, DBS (Deviation Binary Segmentation), is developed and discussed. The DBS method is based on the least absolute error principles and is inspired by the segmentation method rooted in the circular binary segmentation procedure. DBS uses point-by-point model calculation to ensure the accuracy of segmentation and combines a binary search algorithm with heuristics derived from the Central Limit Theorem. The DBS algorithm is very efficient requiring a computational complexity of O(n*log n), and is faster than its predecessors. Moreover, DBS measures the change-point amplitude of mean values of two adjacent segments at a breakpoint, where the significant degree of change-point amplitude is determined by the weighted average deviation at breakpoints. Accordingly, using the constructed binary tree of significant degree, DBS informs whether the results of segmentation are over- or under-segmented.

Conclusion

DBS is implemented in a platform-independent and open-source Java application (ToolSeg), including a graphical user interface and simulation data generation, as well as various segmentation methods in the native Java language.

Amplification of flat laser pulse train

We present modeling and measurements of flattop amplification of a laser pulse train in a diode pumped Nd:YLF system. We establish a theoretical model, accounting for the transverse Gaussian shape of an amplified laser beam, in order to explain remaining slopes in the pulse train energy. The influence of the transverse Gaussian shape on the train's flatness has been experimentally verified. Based on the model we are able to increase the total amplification of a long train of infrared seed beam in the drive laser system at the Fermilab Accelerator Science and Technology facility. The single-pass amplifier improvements resulted in a gain of ∼7 with flat output pulse train for up to 1000 seed pulses.

Development of a Dew/Frost Point Temperature Sensor Based on Tunable Diode Laser Absorption Spectroscopy and Its Application in a Cryogenic Wind Tunnel

We have proposed a sensor for real-time and online measurement of dew/frost point temperature using tunable diode laser absorption spectroscopy (TDLAS) technique. Initial experiments have demonstrated its feasibility and technical advantages in comparison to a chilled mirror hygrometer (CMH). The TDLAS sensor we developed has a dew/frost point temperature range from -93 °C to + 14.5 °C, with a measurement uncertainly of less than 2%, and a response time of about 0.8 s, which is much faster than that of the chilled mirror hygrometer (ranging from several minutes to several hours). A TDLAS-based dew/frost point sensor has many advantages, such as rapid and continuous measurements, low frost point temperature sensing, high accuracy, and non-intrusiveness. Such a sensor would be useful for dew/frost point temperature determinations in various applications. In a cryogenic wind tunnel, real-time dew/frost point temperature measurements are helpful in preventing the formation of condensed liquid and ice, which can affect the model geometry and lead to unreliable test data.

Monitoring dynamic release of intracellular hydrogen peroxide through a microelectrode based enzymatic biosensor

A high sensitive and selective hydrogen peroxide (H₂O₂) biosensor was fabricated on the basis of reduced hemoglobin (Hb) and single-walled carbon nanotubes (SWCNTs) for detecting the release of H₂O₂ from living HepG2 cancer cells in the process of the in situ biosynthesis of ZnO quantum. The modification of carbon fiber microelectrode (CFME) was carried out by physical adsorption. By the scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS), the dense cover of surface and successful immobilization were characterized. Electrochemical investigation demonstrates that the as-prepared modified microelectrode showed a quasi-reversible process toward the reduction of H₂O₂, which exhibited a linear range from 0.51 to 10.6 μM, with a limit of detection of 0.23 μM. This microelectrode biosensor was applied for the quantification of the change of H₂O₂ concentration released from HepG2 cells through the in situ biosynthesis of ZnO quantum dots, which was further confirmed by the fluorescence staining.

Adjusting the Linear Range of Au-MOF Fluorescent Probes for Real-Time Analyzing Intracellular GSH in Living Cells

A series of Au-loaded metal-organic frameworks (MOFs) were synthesized in this study and further employed for real-time quantitative analysis of intracellular glutathione (GSH) level. Different linear ranges can be acquired by altering the size of gold and MOF particles, or adjusting the proportion of 2-aminoterephthalic acid/1,4-benzenedicarboxylate linkers, which is also observed on fluorescein isothiocyanate-attached Au-MOFs. Further study reveals that the flexible molecular chain of GSH with the -COOH/-NH₂ and -SH terminals may readily tie on relevant gold nanoparticles through its -NH₂/-COOH groups, which then restricts the intramolecular motions of fluorescence probes and thus induces marked fluorescence enhancement. On the basis of these observations, the intracellular GSH levels of different cells including L02 cells, Hela, and U87 as well as HepG2 cancer cells can be rapidly evaluated by these Au-MOF probes.

Circular RNA expression profile analysis of severe acne by RNA-Seq and bioinformatics

BACKGROUND

Acne is a common chronic skin disease with a multifactorial aetiology and pathogenesis. Recently, circular RNAs (circRNAs) have been identified as a key factor in regulating gene expression through circRNA-miRNA-mRNA networks in many biological processes and human diseases. However, the circRNAs expression in patients with acne is still unknown.

OBJECTIVE

To investigate circRNA expression profile in severe acne.

METHODS

The expression profile of circRNAs in three paired lesional skin and adjacent non-lesional skin in severe acne was detected by high-throughput RNA sequencing technology and bioinformatics analysis. The candidate circRNAs were validated by PCR, Sanger sequencing and qRT-PCR in the separate group (n = 4). The circRNA-miRNA-mRNA interaction networks were predicted.

RESULTS

A total of 538 circRNAs including 271 up- and 267 downregulated circRNAs were differentially expressed in lesional skin compared with adjacent non-lesional skin in severe acne. Gene Ontology and KEGG pathway enrichment analyses revealed that the aberrantly expressed circRNAs were primarily involved in inflammatory, metabolism and immune responses. Five candidate circRNAs (circRNA_0084927, circRNA_0001073, circRNA_0005941, circRNA_0086376 and circRNA_0018168) were validated to have significant decrease in severe acne by PCR, Sanger sequencing and qRT-PCR, in agreement with the results from RNA-Seq data analysis. The five identified circRNAs were predicted to interact with 213 miRNAs and regulated target gene expression.

CONCLUSION

This study firstly showed that circRNAs were differentially expressed in severe acne and suggested that circRNAs could be used as a potential biomarker for the drug targets of acne.

Integrated analysis miRNA and mRNA profiling in patients with severe oligozoospermia reveals miR-34c-3p downregulates PLCXD3 expression

Our previous research suggested that an integrated analysis of microRNA (miRNA) and messenger RNA (mRNA) expression is helpful to explore miRNA-mRNA interactions and to uncover the molecular mechanisms of male infertility. In this study, microarrays were used to compare the differences in the miRNA and mRNA expression profiles in the testicular tissues of severe oligozoospermia (SO) patients with obstructive azoospermia (OA) controls with normal spermatogenesis. Four miRNAs (miR-1246, miR-375, miR-410, and miR-758) and six mRNAs (SLC1A3, PRKAR2B, HYDIN, WDR65, PRDX1, and ADATMS5) were selected to validate the microarray data using quantitative real-time PCR. Using statistical calculations and bioinformatics predictions, we identified 33 differentially expressed miRNAs and 1,239 differentially expressed mRNAs, among which one potential miRNA-target gene pair, miR-34c-3p and PLCXD3 (Phosphatidylinositol-Specific Phospholipase C, X Domain Containing 3), was identified. Immunohistochemical analysis indicated that PLCXD3 was located within the germ cells of the mouse and human testis. Moreover, we found that miR-34c-3p was able to decrease PLCXD3 expression in mouse (GC-1 and TM4) and human (NCM460) cell lines, presumably indicating the possibility that miR-34c-3p acts as an intracellular mediator in germinal lineage differentiation. Notably, we reported the expression of the PLCXD3 protein in a man with normal spermatogenesis and the lack of the PLCXD3 protein in a man with SO. Therefore, the identified miRNA and mRNA may represent a potentially novel molecular regulatory network and therapeutic targets for the study or treatment of SO, which might provide a better understanding of the molecular basis of spermatogenesis dysfunction.

CPNE1 Is a Useful Prognostic Marker and Is Associated with TNF Receptor-Associated Factor 2 (TRAF2) Expression in Prostate Cancer

Background

CPNE1 plays a vital role in regulating cell differentiation. The clinical and biological values of CPNE1 in prostate cancer are still unclear. The aim of this study was to investigate the clinicopathological value of CPNE1 and the association of CPNE1 with TRAF2 expression in patients with prostate cancer.

Material/Methods

CPNE1 expression in prostate cancer was analyzed using Gene Expression Omnibus (GEO) databases. The Cancer Genome Atlas (TCGA) dataset was used to investigate the association of CPNE1 expression with TRAF2 expression in prostate cancer. The association of CPNE1 expression with recurrence-free survival in patients was also analyzed using the TCGA dataset. Immunohistochemistry assay was performed to examine CPNE1 expression in 65 normal prostate samples and 114 prostate cancer samples. The recurrence-free survival in patients was evaluated using Kaplan-Meier curves and log-rank test. In addition, multivariate and univariate analyses of prognostic factors were investigated by Cox regression. The effect of CPNE1 on TRAF2 expression was explored in human prostate cancer DU-145 cells.

Results

Our results showed that expression level of CPNE1 is higher in prostate cancer than in normal prostate tissues (P=0.006). In the GSE35988 dataset, CPNE1 expression was found to be upregulated in castration-resistant prostate cancer compared with non-castration-resistant prostate cancer (P<0.001). Furthermore, we found that CPNE1 high expression was significantly related to tumor stage, Gleason score, and poorer biochemical recurrence-free survival in prostate cancer patients. Co-expression analysis of TCGA data showed that CPNE1 is significantly associated with TRAF2 expression. CPNE1 overexpression can upregulate TRAF2 expression in prostate cancer DU-145 cells as determined by Western blotting and immunofluorescence assays.

Conclusions

Overall, our findings suggest that CPNE1 is a valuable prognostic marker for evaluating recurrence-free survival and is positively related to TRAF2 expression in prostate cancer.

A phase II trial of lenalidomide plus rituximab in previously untreated follicular non-Hodgkin's lymphoma (NHL): CALGB 50803 (Alliance)

BACKGROUND

This multicenter, phase II trial tested the tolerability and efficacy of lenalidomide plus rituximab in patients with previously untreated follicular lymphoma (FL).

PATIENTS AND METHODS

Patients with grade 1-3a FL, stage 3-4 or bulky stage 2, FL international prognostic index (FLIPI) 0-2, and no prior therapy were eligible to receive rituximab 375 mg/m2 weekly during cycle 1 and day 1 of cycles 4, 6, 8, and 10, plus lenalidomide 20-25 mg on days 1-21 for twelve 28-day cycles. The primary objectives were to evaluate response rates [complete (CR) and overall] and time to progression. Secondary objectives included toxicity, response according to polymorphisms in FcgR2A and FcgR3A, and changes in circulating pro-angiogenic cells.

RESULTS

From October 2010 to September 2011, 66 patients were enrolled. Median age was 53 years, 34 were female, 15 had bulky disease, 21 were FLIPI 0-1, 43 FLIPI 2, and 2 FLIPI 3. One patient withdrew before receiving treatment. Fifty-one patients completed 12 cycles of lenalidomide. Reasons for discontinuation included withdrawal (n = 6), adverse events (n = 6), progression (n = 2). Grade 3-4 hematologic toxicity included neutropenia (21%), lymphopenia (9%), and thrombocytopenia (2%), infection (11%), and rash (8%). Grade 1-2 toxicity included fatigue (78%), diarrhea (37%), rash (32%), and febrile neutropenia in one patient. The overall response rate was 95%; the CR rate was 72% (95% confidence interval, 60% to 83%). With a median follow-up of 5 years, the 2- and 5-year progression-free survival were 86% and 70%, respectively, and the 5-year overall survival was 100%. There was no association between CR rate or PFS and FLIPI, histological grade, bulky disease, FcgR2A/FcgR3A polymorphism, or change in circulating endothelial cell/hematopoietic progenitor cell.

CONCLUSION

Lenalidomide plus rituximab was associated with low rates of grade 3-4 toxicity, yielded a CR rate and PFS similar to chemotherapy-based treatment and may represent a reasonable alternative to immunochemotherapy in previously untreated FL.

CLINICALTRIALS.GOV IDENTIFIER

NCT01145495.

TRAF2 is a Valuable Prognostic Biomarker in Patients with Prostate Cancer

BACKGROUND TRAF2 exerts important functions in regulating the development and progression of cancer. The aim of this study is to investigate whether TRAF2 is a valuable prognostic biomarker and to determine if it regulates TRAIL-induced apoptosis in prostate cancer. MATERIAL AND METHODS Microarray gene expression data from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to determine TRAF2 expression in prostate cancer. TRAF2 expression in prostate cancer was further investigated by immunohistochemistry assay. Kaplan-Meier curves and log-rank test were used to assess the recurrence-free rate. Cox regression was used to analyze prognostic factors. Effects of TRAF2 on regulating TRAIL-induced apoptosis in DU-145 cells were further investigated. RESULTS We found that TRAF2 was significantly upregulated in prostate cancer compared with normal prostate samples (P<0.001). In addition, compared with primary prostate cancer, TRAF2 was upregulated in metastatic prostate cancer (P=0.006). Furthermore, our results showed that high expression of TRAF2 was significantly associated with tumor stage of prostate cancer (P=0.035). TRAF2 high expression was associated with poorer recurrence-free survival in prostate cancer patients (P=0.013). TRAF2 was found to be a valuable independent prognostic factor for predicting recurrence-free survival (P=0.026). In addition, the present results indicate that TRAF2 affects TRAIL-induced apoptosis in prostate cancer DU-145 cells via regulating cleaved Caspase-8 and c-Flip expression. CONCLUSIONS TRAF2 could be a novel prognostic biomarker for predicting recurrence-free survival in patients with prostate cancer, which might be associated with the effects of TRAF2 in regulating TRAIL-induced apoptosis in prostate cancer cells via c-Flip/Caspase-8 signalling.

Knockdown of TNF receptor-associated factor 2 (TRAF2) modulates in vitro growth of TRAIL-treated prostate cancer cells

TNF receptor-associated factor 2 (TRAF2) is documented to regulate tumor development and progression. Currently, the effect of TRAF2 on growth of androgen-refractory prostate cancer in response to TRAIL and the molecular mechanisms are not well understood. Here, we aim to investigate the effect of TRAF2 on in vitro growth of human androgen-insensitive prostate cancer DU-145 cells in the presence of TRAIL. Bioinformatics analysis of the Cancer Genome Atlas (TCGA) data was performed to examine TRAF2 expression and the prognostic value in prostate cancer. Microarray data of GSE21032 dataset were downloaded from Gene Expression Omnibus (GEO) to explore TRAF2 expression in metastatic prostate cancer. Bioinformatics analysis was further conducted to investigate the association of TRAF2 expression with recurrence-free survival in prostate cancer patients. Colony formation, cell viability, and Annexin V/PI apoptosis assays were performed to investigate the effect of TRAF2 on in vitro growth and apoptosis in TRAIL-treated DU-145 cells. The expression levels of mRNA and protein were detected by quantitative RT-PCR and immunoblotting assays. Bioinformatics analysis indicated that TRAF2 expression is significantly upregulated in prostate cancer patients with high Gleason scores (GS>7) compared with those with low Gleason scores (GS≤7). Upregulation of TRAF2 expression is significantly associated with recurrence-free survival in patients. In addition, TRAF2 knockdown can enhance apoptosis and downregulate SIRT1 expression in TRAIL-treated DU-145 cells. In vitro experiments further showed that SIRT1 knockdown can inhibit growth, and promote apoptosis in TRAIL-treated DU-145 cells. Overall, TRAF2 can influence in vitro growth of TRAIL-treated DU-145 cells at least partially via regulating SIRT1 expression, and may be a potentially valuable biomarker predicting recurrence-free survival in prostate cancer patients.