Updated mechanisms of MASLD pathogenesis.

Metabolic dysfunction-associated steatotic liver disease (MASLD) has garnered considerable attention globally. Changing lifestyles, over-nutrition, and physical inactivity have promoted its development. MASLD is typically accompanied by obesity and is strongly linked to metabolic syndromes. Given that MASLD prevalence is on the rise, there is an urgent need to elucidate its pathogenesis. Hepatic lipid accumulation generally triggers lipotoxicity and induces MASLD or progress to metabolic dysfunction-associated steatohepatitis (MASH) by mediating endoplasmic reticulum stress, oxidative stress, organelle dysfunction, and ferroptosis. Recently, significant attention has been directed towards exploring the role of gut microbial dysbiosis in the development of MASLD, offering a novel therapeutic target for MASLD. Considering that there are no recognized pharmacological therapies due to the diversity of mechanisms involved in MASLD and the difficulty associated with undertaking clinical trials, potential targets in MASLD remain elusive. Thus, this article aimed to summarize and evaluate the prominent roles of lipotoxicity, ferroptosis, and gut microbes in the development of MASLD and the mechanisms underlying their effects. Furthermore, existing advances and challenges in the treatment of MASLD were outlined.

[LASSO regression based risk prediction model for postoperative control in chronic sinusitis with nasal polyps].

Objective:To establish a risk prediction model for postoperative control of chronic sinusitis with nasal polyps. Methods:Retrospective analysis was done on the clinical of patients who underwent endoscopic sinus surgery in the Department of Otolaryngology of the First Affiliated Hospital of Soochow University during August 2020 to June 2021. Patients were classified into uncontrolled group（40 cases） and controlled group（104 cases）, based on the European Position Paper on rhinosinusitis and nasal polyps（EPOS 2020）, and the clinical and pathological characteristics of the two groups were compared. The least absolute shrinkage and selection operator（LASSO） regression was used to screen the factors that might affect the prognosis of chronic sinusitis with nasal polyps and multivariate logistic regression was performed. The Receiver operating characteristic curve（ROC） was ploted, the area under curve（AUC） was calculated, and the ability of the prediction model was evaluated using the consistency index（C-index）. Results:A total of 144 patients with CRS with nasal polyps 1 year after operation were enrolled in this study, including 40 patients in the uncontrolled group and 104 patients in the control group（complete control or partial control）. 12 risk factors（allergic rhinitis, allergic dermatitis, olfactory dysfunction, E/M ratio, serum alkaline phosphatase, number of pathological eosinophils, number of pathological lymphocytes, number of plasma cells in pathological tissues, percentage of eosinophils in pathological tissues, stromal edema, basement membrane thickening, and hyperplasia of goblet cells） were found to be associated with postoperative recurrence of chronic sinusitis with nasal polyps. The seven variables（allergic rhinitis, olfactory dysfunction, E/M ratio, pathological eosinophilic percentage, stromal edema, basement membrane thickening, and hyperplasia of goblet cell） were extracted after reduced by LASSO regression. Multivariate logistic regression analysis showed that the 7 variables were risk factors for postoperative recurrence of chronic sinusitis with nasal polyps（P<0.05）. Nomogram prediction model for postoperative recurrence of chronic sinusitis with nasal polyps were established based on the 7 variables above. The verification results of the model showed that the C-index and AUC of the model were 0.937 and 0.937（95%CI 0.901-0.973）, suggesting that the nomogram model had a relatively accurate prediction ability. Conclusion:Combined with the basic clinical data of patients, the prediction model established in this study can facilitate the risk prediction of postoperative control of chronic sinusitis with nasal polyps, and thus help to formulate better therapeutic plans for patients.

Carboxymethyl cellulose and metal-organic frameworks immobilized into polyacrylamide hydrogel for ultrahigh efficient and selective adsorption U(VI) from seawater.

Metal-organic frameworks (MOF)-polymer hybrid hydrogel solves the processable forming of MOF powder and energy consumption of uranium extraction. However, the hybrid hydrogel by conventional synthesis methods inevitably lead to MOF agglomeration, poor filler-polymer interfacial compatibility and slowly adsorption. Herein, we designed that ZIF-67 was implanted into the carboxymethyl cellulose/polyacrylamide (CMC/PAM) by network-repairing strategy. The carboxyl and amino groups on the surface of CMC/PAM drive the uniform growth of ZIF-67 inside the CMC/PAM, which form an array of oriented and penetrating microchannels through coordination bonds. Our strategy eliminate the ZIF-67 agglomeration, increase the interfacial compatibility between MOF and polymer. The method also improve the free and fast diffusion of uranium in CMC/PAM/ZIF-67 hydrogel. According to the experimental, these enhancements synergistically enabled the CMC/PAM/ZIF-67 have a maximum adsorption capacity of 952 mg g-1. The adsorption process of CMC/PAM/ZIF-67 fits well with pseudo-second-order model and Langmuir isotherm. Meanwhile, the CMC/PAM/ZIF-67 maintain a high removal rate (87.3 %) and chemical stability even during ten adsorption-desorption cycles. It is worth noting that the adsorption amount of CMC/PAM/ZIF-67 in real seawater is 9.95 mg g-1 after 20 days, which is an ideal candidate adsorbent for uranium extraction from seawater.

Manipulating Redox Homeostasis of Cancer Stem Cells Overcome Chemotherapeutic Resistance through Photoactivatable Biomimetic Nanodiscs.

Tumor heterogeneity remains a significant obstacle in cancer therapy due to diverse cells with varying treatment responses. Cancer stem-like cells (CSCs) contribute significantly to intratumor heterogeneity, characterized by high tumorigenicity and chemoresistance. CSCs reside in the depth of the tumor, possessing low reactive oxygen species (ROS) levels and robust antioxidant defense systems to maintain self-renewal and stemness. A nanotherapeutic strategy is developed using tumor-penetrating peptide iRGD-modified high-density lipoprotein (HDL)-mimetic nanodiscs (IPCND) that ingeniously loaded with pyropheophorbide-a (Ppa), bis (2-hydroxyethyl) disulfide (S-S), and camptothecin (CPT) by synthesizing two amphiphilic drug-conjugated sphingomyelin derivatives. Photoactivatable Ppa can generate massive ROS which as intracellular signaling molecules effectively shut down self-renewal and trigger differentiation of the CSCs, while S-S is utilized to deplete GSH and sustainably imbalance redox homeostasis by reducing ROS clearance. Simultaneously, the depletion of GSH is accompanied by the release of CPT, which leads to subsequent cell death. This dual strategy successfully disturbed the redox equilibrium of CSCs, prompting their differentiation and boosting the ability of CPT to kill CSCs upon laser irradiation. Additionally, it demonstrated a synergistic anti-cancer effect by concurrently eliminating therapeutically resistant CSCs and bulk tumor cells, effectively suppressing tumor growth in CSC-enriched heterogeneous colon tumor mouse models.

Up-front autologous stem cell transplant in peripheral T-cell lymphoma patients achieving complete response after first-line treatment: A multicentre real-world analysis.

We conducted a retrospective, multicentre study to compare consolidation therapy with or without first-line autologous stem cell transplant (ASCT) for peripheral T-cell lymphoma (PTCL) patients in a real-world setting. We enrolled 347 PTCL patients who achieved complete response after first-line treatment. Of these, 257 received consolidation chemotherapy (non-ASCT group) and 90 received ASCT (ASCT group). Clinical outcomes were comparable between ASCT and non-ASCT groups. After propensity score matching, the 2-year cumulative incidence of treatment-related mortality and relapse remained similar between groups (1.9% vs. 2.0%, p = 0.985; 24.7% vs. 47.1%, p = 0.021). However, significant differences emerged in progression-free survival and overall survival probabilities. Within the T-cell lymphoma subgroup, ASCT patients exhibited favourable outcomes compared to non-ASCT patients: 2-year progression-free survival (73.4% vs. 50.8%, p = 0.024) and overall survival (92.1% vs. 73.5%, p = 0.021). Notably, no significant differences were observed for patients with NK/T-cell lymphoma. These real-world data suggest that up-front ASCT is a safe and effective consolidation option for PTCL patients in remission, particularly those with T-cell lymphoma.

High-Throughput Screening of pH-Dependent ß-sheet Self-Assembling Peptide.

pH-dependent peptide biomaterials hold tremendous potential for cell delivery and tissue engineering. However, identification of responsive self-assembling sequences with specified secondary structure remains a challenge. In this work, An experimental procedure based on the one-bead one-compound (OBOC) combinatorial library is developed to rapidly screen self-assembling ß-sheet peptides at neutral aqueous solution (pH 7.5) and disassemble at weak acidic condition (pH 6.5). Using the hydrophobic fluorescent molecule thioflavin T (ThT) as a probe, resin beads displaying self-assembling peptides show fluorescence under pH 7.5 due to the insertion of ThT into the hydrophobic domain, and are further cultured in pH 6.5 solution. The beads with extinguished fluorescence are selected. Three heptapeptides are identified that can self-assemble into nanofibers or nanoparticles at pH 7.5 and disassemble at pH 6.5. P1 (LVEFRHY) shows a rapid acid response and morphology transformation with pH modulation. Changes in the charges of histidine and hydrophobic phenyl motif of phenylalanine may play important roles in the formation of pH-responsive ß-sheet nanofiber. This high-throughput screening method provides an efficient way to identify pH-dependent ß-sheet self-assembling peptide and gain insights into structural design of such nanomaterials.

Novel antiviral discoveries for Japanese encephalitis virus infections through reporter virus-based high-throughput screening.

Japanese encephalitis (JE) caused by JE virus (JEV), remains a global public health concern. Currently, there is no specific antiviral drug approved for the treatment of JE. While vaccines are available for prevention, they may not cover all at-risk populations. This underscores the urgent need for prophylaxis and potent anti-JEV drugs. In this context, a high-content JEV reporter system expressing Nanoluciferase (Nluc) was developed and utilized for a high-throughput screening (HTS) of a commercial antiviral library to identify potential JEV drug candidates. Remarkably, this screening process led to the discovery of five drugs with outstanding antiviral activity. Further mechanism of action analysis revealed that cepharanthine, an old clinically approved drug, directly inhibited virus replication by blocking GTP binding to the JEV RNA-dependent RNA polymerase. Additionally, treatment with cepharanthine in mice models alleviated JEV infection. These findings warrant further investigation into the potential anti-JEV activity of cepharanthine as a new therapeutic approach for the treatment of JEV infection. The HTS method employed here proves to be an accurate and convenient approach that facilitates the rapid development of antiviral drugs.

Yi-qi-hua-yu-jie-du decoction induces ferroptosis in cisplatin-resistant gastric cancer via the AKT/GSK3ß/NRF2/GPX4 axis.

BACKGROUND: Resistance to chemotherapy in gastric cancer (GC) is a ubiquitous challenge for its treatment. Yi-qi-hua-yu-jie-du decoction (YJD), an empirical formula in Traditional Chinese Medicine (TCM), demonstrated survival-prolonging functions in patients with GC. Previous research has shown that YJD could also inhibit drug resistance in GC. However, the precise mechanisms for how YJD accomplishes this remain incompletely explained. PURPOSE: The research aimed to identify differential metabolic characteristics in cisplatin-resistant GC and investigate whether YJD can target these differences to suppress GC drug resistance. METHODS: Metabolomic analysis was conducted to identify metabolic disparities between cisplatin-resistant and parental GC cells, as well as metabolic modifications resulting from YJD intervention in cisplatin-resistant GC cells. The effect of YJD on ferroptosis stimulation was assessed by measuring the levels of reactive oxygen species (ROS), malondialdehyde (MDA), iron ions, the reduced glutathione (GSH) to oxidised glutathione (GSSG) ratio, and alterations in mitochondrial morphology. Western blotting and quantitative real-time polymerase chain reaction (Q-PCR) were employed to verity the mechanisms of YJD-triggered ferroptosis through GPX4 and NRF2 overexpression models, alongside the AKT activator SC79. In vivo validation was conducted using nude mouse xenograft models. RESULTS: Cisplatin-resistant GC exhibited altered GSH/GPX4 metabolism, and ferroptosis was a significantly enriched cell death pattern with YJD treatment in cisplatin-resistant GC cells. Ferroptosis biomarkers, including ROS, MDA, iron ions, the GSH/GSSG ratio, and mitochondrial morphology, were remarkably changed with the YJD intervention. Mechanistic experiments demonstrated that YJD inhibited the phosphorylation cascade activity of the AKT/GSK3ß pathway, thereby reducing NRF2 expression. The level of GPX4, a crucial enzyme involved in glutathione metabolism, was attenuated, facilitating ferroptosis induction in cisplatin-resistant GC. CONCLUSION: The research reveals, for the first time, changes in GSH/GPX4 metabolism in cisplatin-resistant GC cells based on metabolomic analysis. YJD induced ferroptosis in cisplatin-resistant GC by inhibiting GPX4 through the AKT/GSK3ß/NRF2 pathway, thus attenuating the cisplatin drug resistance in GC. Our findings identify metabolic changes in cisplatin-resistant GC and establish a theoretical framework for YJD on tackling drug resistance in GC through ferroptosis.

US Risk Stratification System for Follicular Thyroid Neoplasms.

Background Preoperative assessment of follicular thyroid neoplasms is challenging using the current US risk stratification systems (RSSs) that are applicable to papillary thyroid neoplasms. Purpose To develop a US feature-based RSS for differentiating between follicular thyroid adenoma (FTA) and follicular thyroid carcinoma (FTC) in biopsy-proven follicular neoplasm and compare it with existing RSSs. Materials and Methods This retrospective multicenter study included consecutive adult patients who underwent conventional US and received a final diagnosis of follicular thyroid neoplasm from seven centers between January 2018 and December 2022. US images from a pretraining data set were used to improve readers' understanding of the US characteristics of the FTC and FTA. Univariable and multivariable logistic regression analyses were used to assess the association of qualitative US features with FTC in a training data set. Features with P < .05 were used to construct a prediction model (follicular tumor model, referred to as F model) and RSS for follicular neoplasms using the Thyroid Imaging Reporting and Data System (TI-RADS). Area under the receiver operating characteristic curve (AUC) was compared between follicular TI-RADS (hereafter, F-TI-RADS) and existing RSS (American College of Radiology [ACR] TI-RADS, Korean Society of Thyroid Radiology and Korean Society of Radiology TI-RADS [hereafter, referred to as K-TI-RADS], and Chinese TI-RADS [hereafter, referred to as C-TI-RADS]) in a validation data set. Results The pretraining, training, and validation data sets included 30 (mean age, 47.6 years ± 16.0 [SD]; 16 male patients; FTCs, 30 of 60 [50.0%]), 703 (mean age, 47.9 years ± 14.5; 530 female patients; FTCs, 188 of 703 [26.7%]), and 155 (mean age, 49.9 years ± 13.3 [SD]; 155 female patients; FTCs, 43 of 155 [27.7%]) patients. In the validation data set, the F-TI-RADS showed improved performance for differentiating between FTA and FTC (AUC, 0.81; 95% CI: 0.71, 0.86) compared with ACR TI-RADS (AUC, 0.74; 95% CI: 0.66, 0.80; P = .02), K-TI-RADS (AUC, 0.69; 95% CI: 0.61, 0.76; P = .002), and C-TI-RADS (AUC, 0.68; 95% CI: 0.60, 0.75; P = .002). Conclusion F-TI-RADS outperformed existing RSSs for differentiating between FTC and FTA. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Baumgarten in this issue.

Both chimpanzee adenovirus-vectored and DNA vaccines induced long-term immunity against Nipah virus infection.

Nipah virus (NiV) is a highly lethal zoonotic paramyxovirus that poses a severe threat to humans due to its high morbidity and the lack of viable countermeasures. Vaccines are the most crucial defense against NiV infections. Here, a recombinant chimpanzee adenovirus-based vaccine (AdC68-G) and a DNA vaccine (DNA-G) were developed by expressing the codon-optimized full-length glycoprotein (G) of NiV. Strong and sustained neutralizing antibody production, accompanied by an effective T-cell response, was induced in BALB/c mice by intranasal or intramuscular administration of one or two doses of AdC68-G, as well as by priming with DNA-G and boosting with intramuscularly administered AdC68-G. Importantly, the neutralizing antibody titers were maintained for up to 68 weeks in the mice that received intramuscularly administered AdC68-G and the prime DNA-G/boost AdC68-G regimen, without a significant decline. Additionally, Syrian golden hamsters immunized with AdC68-G and DNA-G via homologous or heterologous prime/boost immunization were completely protected against a lethal NiV virus challenge, without any apparent weight loss, clinical signs, or pathological tissue damage. There was a significant reduction in but not a complete absence of the viral load and number of infectious particles in the lungs and spleen tissue following NiV challenge. These findings suggest that the AdC68-G and DNA-G vaccines against NiV infection are promising candidates for further development.

Vaccines based on the fusion protein consensus sequence protect Syrian hamsters from Nipah virus infection.

Nipah virus (NiV), a bat-borne paramyxovirus, results in neurological and respiratory diseases with high mortality in humans and animals. Developing vaccines is crucial for fighting these diseases. Previously, only a few studies focused on the fusion (F) protein alone as the immunogen. Numerous NiV strains have been identified, including 2 representative strains from Malaysia (NiV-M) and Bangladesh (NiV-B), which differ significantly from each other. In this study, an F protein sequence with the potential to prevent different NiV strain infections was designed by bioinformatics analysis after an in-depth study of NiV sequences in GenBank. Then, a chimpanzee adenoviral vector vaccine and a DNA vaccine were developed. High levels of immune responses were detected after AdC68-F, pVAX1-F, and a prime-boost strategy (pVAX1-F/AdC68-F) in mice. After high titers of humoral responses were induced, the hamsters were challenged by the lethal NiV-M and NiV-B strains separately. The vaccinated hamsters did not show any clinical signs and survived 21 days after infection with either strain of NiV, and no virus was detected in different tissues. These results indicate that the vaccines provided complete protection against representative strains of NiV infection and have the potential to be developed as a broad-spectrum vaccine for human use.

Preparation of NiS/Ti3C2Tx co-doped with N and P at the covalent interface and its electromagnetic wave absorption properties.

The harm of electromagnetic waves on human daily life has gradually received attention, and electromagnetic waves absorption materials have been used to address this issue. MXene, as a new type of 2D material, is a very promising electromagnetic wave absorption material. In this study, NiS nanoparticles were grown on the surface of S terminated Ti3C2Tx, and -S group acted as sulfur sources to construct Ti-S-Ni covalent interface directly in NiS/Ti3C2Tx composites. To further regulate the interface structure and electromagnetic properties, -P and -NH2 groups were also introduced onto the surface of MXene to achieve the N, P co-doping NiS/Ti3C2Tx composites with covalent interface. By investigating the electromagnetic wave absorption performance of the composites, it was found that N and P doping could effectively enhance the electron transfer rate at the interface and optimize the conduction loss, resulting in a significant improvement in performance. The minimum reflection loss was -50.6 dB at a frequency of 15.6 GHz, and the matching thickness was only 1.14 mm with an effective absorption bandwidth of 3.6 GHz. These results provide an important references and guidance for further research and development of high-performance electromagnetic wave absorption materials.

An adhesive peptide specifically induces microtubule condensation.

Cell function-associated biomolecular condensation has great potential in modulation of molecular activities. We develop a microtubule-trapping peptide that first self-assembles into nanoparticles and then in situ transforms into nanofibers via ligand-receptor interactions when targeted to tubulin. The nanofibers support the increased exposed targets for further adhering to microtubules and induce the self-assembly of microtubules into networks due to multivalent effects. Microtubule condensation with prolonged retention in cells for up to 24 h, which is 6 times longer than that of the non-transformable nanoparticle group, efficiently induces in vitro cell apoptosis and inhibits in vivo tumour growth. These smart transformable peptide materials for targeted protein condensation have the potential for improving retention and inducing cell apoptosis in tumour therapy.

Manipulating Neovasculature-Targeting Capability of Biomimetic Nanodiscs for Synergistic Photoactivatable Tumor Infarction and Chemotherapy.

Tumor infarction therapy is a promising antitumor strategy with the advantages of taking a short therapy duration, less risk of resistance, and effectiveness against a wide range of tumor types. However, its clinical application is largely hindered by tumor recurrence in the surviving rim and the potential risk of thromboembolic events due to nonspecific vasculature targeting. Herein, a neovasculature-targeting synthetic high-density lipoprotein (sHDL) nanodisc loaded with pyropheophorbide-a and camptothecin (CPN) was fabricated for photoactivatable tumor infarction and synergistic chemotherapy. By manipulating the anisotropy in ligand modification of sHDL nanodiscs, CPN modified with neovaculature-targeting peptide on the planes (PCPN) shows up to 7-fold higher cellular uptake compared with that around the edge (ECPN). PCPN can efficiently bind to endothelial cells of tumor vessels, and upon laser irradiation, massive local thrombus can be induced by the photodynamic reaction to deprive nutrition supply. Meanwhile, CPT could be released in response to the tumor reductive environment, thus killing residual tumor cells in the surviving rim to inhibit recurrence. These findings not only offer a powerful approach of synergistic cancer therapy but also suggest the potential of plane-modified sHDL nanodiscs as a versatile drug delivery nanocarrier.

A Multifunctional Asymmetric Fabric for Sustained Electricity Generation from Multiple Sources and Simultaneous Solar Steam Generation.

Harvesting electrical energy from water and moisture has emerged as a novel ecofriendly energy conversion technology. Herein, a multifunctional asymmetric polyaniline/carbon nanotubes/poly(vinyl alcohol) (APCP) that can produce electric energy from both saline water and moisture and generate fresh water simultaneously is developed. The constructed APCP possesses a negatively charged porous structure that allows continuous generation of protons and ion diffusion through the material, and a hydrophilicity-hydrophobic interface which results in a constant potential difference and sustainable output. A single APCP can maintain stable output for over 130 h and preserve a high voltage of 0.61 V, current of 81 µA, and power density of 82.4 µW cm-3 with 0.15 cm3 unit size in the water-induced electricity generation process. When harvesting moisture energy, the APCP creates dry-wet asymmetries and triggers the spontaneous development of electrical double layer with a current density of 1.25 mA cm-3 , sufficient to power small electronics. A device consisting of four APCP can generate stable electricity of 3.35 V and produce clean water with an evaporation rate of 2.06 kg m-2  h-1 simultaneously. This work provides insights into the fabrication of multifunctional fabrics for multisource energy harvesting and simultaneous solar steam generation.

Identification of immune-related gene signature for predicting prognosis in uterine corpus endometrial carcinoma.

The objective of this study is to develop a gene signature related to the immune system that can be used to create personalized immunotherapy for Uterine Corpus Endometrial Carcinoma (UCEC). To classify the UCEC samples into different immune clusters, we utilized consensus clustering analysis. Additionally, immune correlation algorithms were employed to investigate the tumor immune microenvironment (TIME) in diverse clusters. To explore the biological function, we conducted GSEA analysis. Next, we developed a Nomogram by integrating a prognostic model with clinical features. Finally, we performed experimental validation in vitro to verify our prognostic risk model. In our study, we classified UCEC patients into three clusters using consensus clustering. We hypothesized that cluster C1 represents the immune inflammation type, cluster C2 represents the immune rejection type, and cluster C3 represents the immune desert type. The hub genes identified in the training cohort were primarily enriched in the MAPK signaling pathway, as well as the PD-L1 expression and PD-1 checkpoint pathway in cancer, all of which are immune-related pathways. Cluster C1 may be a more suitable for immunotherapy. The prognostic risk model showed a strong predictive ability. Our constructed risk model demonstrated a high level of accuracy in predicting the prognosis of UCEC, while also effectively reflecting the state of TIME.

Efficacy and safety of histone deacetylase inhibitors in peripheral T-cell lymphoma: a systematic review and meta-analysis on prospective clinical trials.

Background: The overall survival of peripheral T-cell lymphoma (PTCL) is dismal. Histone deacetylase (HDAC) inhibitors have exhibited promising treatment outcomes for PTCL patients. Therefore, this work aims to systematically evaluate the treatment outcome and safety profile of HDAC inhibitor-based treatment for untreated and relapsed/refractory (R/R) PTCL patients. Methods: The prospective clinical trials of HDAC inhibitors for the treatment of PTCL were searched on the Web of Science, PubMed, Embase, ClinicalTrials.gov, and Cochrane Library database. The pooled overall response rate, complete response (CR) rate, and partial response rate were measured. The risk of adverse events was evaluated. Moreover, the subgroup analysis was utilized to assess the efficacy among different HDAC inhibitors and efficacy in different PTCL subtypes. Results: For untreated PTCL, 502 patients in seven studies were involved, and the pooled CR rate was 44% (95% CI, 39-48%). For R/R PTCL patients, there were 16 studies included, and the CR rate was 14% (95% CI, 11-16%). The HDAC inhibitor-based combination therapy exhibited better efficacy when compared with HDAC inhibitor monotherapy for R/R PTCL patients (P = 0.02). In addition, the pooled CR rate was 17% (95% CI, 13-22%), 10% (95% CI, 5-15%), and 10% (95% CI, 5-15%) in the romidepsin, belinostat, and chidamide monotherapy subgroups, respectively. In the R/R angioimmunoblastic T-cell lymphoma subgroup, the pooled ORR was 44% (95% CI, 35-53%), higher than other subtypes. A total of 18 studies were involved in the safety assessment of treatment-related adverse events. Thrombocytopenia and nausea were the most common hematological and non-hematological adverse events, respectively. Conclusion: This meta-analysis demonstrated that HDAC inhibitors were effective treatment options for untreated and R/R PTCL patients. The combination of HDAC inhibitor and chemotherapy exhibited superior efficacy to HDAC inhibitor monotherapy in the R/R PTCL setting. Additionally, HDAC inhibitor-based therapy had higher efficacy in angioimmunoblastic T-cell lymphoma patients than that in other subtypes.

Surface Modification of Super Arborized Silica for Flexible and Wearable Ultrafast-Response Strain Sensors with Low Hysteresis.

Conductive hydrogels exhibit high potential in the fields of wearable sensors, healthcare monitoring, and e-skins. However, it remains a huge challenge to integrate high elasticity, low hysteresis, and excellent stretch-ability in physical crosslinking hydrogels. This study reports the synthesis of polyacrylamide (PAM)-3-(trimethoxysilyl) propyl methacrylate-grafted super arborized silica nanoparticle (TSASN)-lithium chloride (LiCl) hydrogel sensors with high elasticity, low hysteresis, and excellent electrical conductivity. The introduction of TSASN enhances the mechanical strength and reversible resilience of the PAM-TSASN-LiCl hydrogels by chain entanglement and interfacial chemical bonding, and provides stress-transfer centers for external-force diffusion. These hydrogels show outstanding mechanical strength (a tensile stress of 80-120 kPa, elongation at break of 900-1400%, and dissipated energy of 0.8-9.6 kJ m-3 ), and can withstand multiple mechanical cycles. LiCl addition enables the PAM-TSASN-LiCl hydrogels to exhibit excellent electrical properties with an outstanding sensing performance (gauge factor = 4.5), with rapid response (210 ms) within a wide strain-sensing range (1-800%). These PAM-TSASN-LiCl hydrogel sensors can detect various human-body movements for prolonged durations of time, and generate stable and reliable output signals. The hydrogels fabricated with high stretch-ability, low hysteresis, and reversible resilience, can be used as flexible wearable sensors.

Entangling of Peptide Nanofibers Reduces the Invasiveness of SARS-CoV-2.

The viral spike (S) protein on the surface of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to angiotensin-converting enzyme 2 (ACE2) receptors on the host cells, facilitating its entry and infection. Here, functionalized nanofibers targeting the S protein with peptide sequences of IRQFFKK, WVHFYHK and NSGGSVH, which are screened from a high-throughput one-bead one-compound screening strategy, are designed and prepared. The flexible nanofibers support multiple binding sites and efficiently entangle SARS-CoV-2, forming a nanofibrous network that blocks the interaction between the S protein of SARS-CoV-2 and the ACE2 on host cells, and efficiently reduce the invasiveness of SARS-CoV-2. In summary, nanofibers entangling represents a smart nanomedicine for the prevention of SARS-CoV-2.

Current distribution of two species of Chinese macaques (Macaca arctoides and Macaca thibetana) and the possible influence of climate change on future distribution.

Predicting the spatial distribution of species and suitable areas under global climate change could provide a reference for species conservation and long-term management strategies. Macaca thibetana and Macaca arctoides are two endangered species of Chinese macaques. However, limited information is available on their distribution, and their habitat needs lack proper assessment due to complicated taxonomy and less research attention. In recent years, scholars widely used the maximum entropy (MaxEnt) model to predict the impact of global climate and certain environmental factors on species distribution. Therefore, we used the MaxEnt model to predict the spatiotemporal distribution of both macaque species under six climate change scenarios using occurrence and high-resolution ecological data. We identified climatic factors, elevation, and land cover that shape their distribution range and determined shifts in their habitat range. The results demonstrated that temperature range, annual precipitation, forest land cover, and temperature seasonality, including the precipitation of the driest month are the main factors affecting their distribution. Currently, M. thibetana is mainly concentrated in central, eastern, southern, and southwestern China, and M. arctoides is mainly concentrated in three provinces (Yunnan, Guangxi, and Guangdong) in southern China. The MaxEnt model predicted that the suitable habitat for both species will increase with increased greenhouse emission scenarios. We also found that with the further increase in greenhouse emissions M. thibetana is expected to migrate to western China, and M. arctoides is expected to migrate to western or eastern China. This reinterpretation of the distribution of M. thibetana and M. arctoides in China, and predicted potential suitable habitat and possible migration direction, may provide new insights into the future conservation and management of these two species.