Experimental observation of current-driven antiskyrmion sliding in stripe domains.

Magnetic skyrmions are promising as next-generation information units. Their antiparticle-the antiskyrmion-has also been discovered in chiral magnets. Here we experimentally demonstrate antiskyrmion sliding in response to a pulsed electric current at room temperature without the requirement of an external magnetic field. This is realized by embedding antiskyrmions in helical stripe domains, which naturally provide one-dimensional straight tracks along which antiskyrmion sliding can be easily launched with low current density and without transverse deflection from the antiskyrmion Hall effect. The higher mobility of the antiskyrmions in the background of helical stripes in contrast to the typical ferromagnetic state is a result of intrinsic material parameters and elastic energy of the stripe domain, thereby smearing out the random pinning potential, as supported by micromagnetic simulations. The demonstration and comprehensive understanding of antiskyrmion movement along naturally straight tracks offers a new perspective for (anti)skyrmion application in spintronics.

Electrical-Controllable Antiferromagnet-Based Tunnel Junction.

An electrical-controllable antiferromagnet tunnel junction is a key goal in spintronics, holding immense promise for ultradense and ultrastable antiferromagnetic memory with high processing speed for modern information technology. Here, we have advanced toward this goal by achieving an electrical-controllable antiferromagnet-based tunnel junction of Pt/Co/Pt/Co/IrMn/MgO/Pt. The exchange coupling between antiferromagnetic IrMn and Co/Pt perpendicular magnetic multilayers results in the formation of an interfacial exchange bias and exchange spring in IrMn. Encoding information states "0" and "1" is realized through the exchange spring in IrMn, which can be electrically written by spin-orbit torque switching with high cyclability and electrically read by antiferromagnetic tunneling anisotropic magnetoresistance. Combining spin-orbit torque switching of both exchange spring and exchange bias, a 16 Boolean logic operation is successfully demonstrated. With both memory and logic functionalities integrated into our electrically controllable antiferromagnetic-based tunnel junction, we chart the course toward high-performance antiferromagnetic logic-in-memory.

Evaluation of an E6/E7 PCR-capillary electrophoresis fragment analysis in the genotyping of human papillomavirus in archival FFPE samples of oropharyngeal cancer.

Accumulating evidence has demonstrated that high-risk human papillomaviruses (HR-HPVs) are involved in the etiology of a subset of oropharyngeal squamous cell carcinoma (OPSCC). In this regard, the International Agency for Research on Cancer (IARC) has recommended direct molecular HPV testing. So far, there is no agreement on the most appropriate method for HPV detection on OPSCC formalin-fixed paraffin-embedded (FFPE) materials. In this study, we aimed to evaluate the performance of the high-sensitive SureX HPV assay in OPSCC FFPE tissues compared with LiPA-25 and p16ink4a immunostaining. A retrospective series of FFPE primary OPSCC cases were diagnosed between 2008 and 2019 and provided by the Henan Cancer Hospital, China. The level of agreement of two assays was determined using Cohen's Kappa (κ) statistics. A total of 230 FFPE OPSCC samples from tumor resections (n = 160) and diagnostic biopsies (n = 70) were detected. Sixty-six (28.7%) and 70 (30.4%) samples were identified as HPV-DNA-positive by LiPA-25 and SureX, respectively, of which HPV16 was largely the most common type (95.5% vs 94.3%). We found a perfect concordance between LiPA-25 and SureX for HPV-DNA status (κ = 0.906, 95% CI: 0.875-0.937) and for HPV16 (κ = 0.925, 95% CI: 0.897-0.953). In addition, SureX and p16ink4a immunostaining had a perfect concordance (κ = 0.917, 95% CI: 0.888-0.946). Moreover, the HPV-driven fraction, based on double positivity for HPV-DNA and p16ink4a, was similar between SureX (63 of 230, 27.4%) and LiPA-25 (60 of 230, 26.1%). Similar results were found in samples from resections and biopsies. SureX and LiPA-25 are comparable. SureX could be used for routine HPV-DNA detection and genotyping on archival OPSCC FFPE tissues.

Incommensurate Spin Density Wave in Antiferromagnetic RuO_{2} Evinced by Abnormal Spin Splitting Torque.

Since the discovery of antiferromagnetism, metallic oxide RuO_{2} has exhibited numerous intriguing spintronics properties such as the anomalous Hall effect and anisotropic spin splitting effect. However, the microscopic origin of its antiferromagnetism remains unclear. By investigating the spin splitting torque in RuO_{2}/Py, we found that metallic RuO_{2} exhibits a spatially periodic spin structure which interacts with the spin waves in Py through interfacial exchange coupling. The wavelength of such structure is evaluated within 14-20 nm depending on the temperature, which is evidence of an incommensurate spin density wave state in RuO_{2}. Our work not only provides a dynamics approach to characterize the antiferromagnetic ordering in RuO_{2}, but also offers fundamental insights into the spin current generation due to anisotropic spin splitting effect associated with spin density wave.

Defect engineering on electrocatalysts for sustainable nitrate reduction to ammonia: Fundamentals and regulations.

Electrocatalytic nitrate (NO3 -) reduction to ammonia (NH3) is a "two birds-one stone" method that targets remediation of NO3 --containing sewage and production of valuable NH3. The exploitation of advanced catalysts with high activity, selectivity, and durability is a key issue for the efficient catalytic performance. Among various strategies for catalyst design, defect engineering has gained increasing attention due to its ability to modulate the electronic properties of electrocatalysts and optimize the adsorption energy of reactive species, thereby enhancing the catalytic performance. Despite previous progress, there remains a lack of mechanistic insights into the regulation of catalyst defects for NO3 - reduction. Herein, this review presents insightful understanding of defect engineering for NO3 - reduction, covering its background, definition, classification, construction, and underlying mechanisms. Moreover, the relationships between regulation of catalyst defects and their catalytic activities are illustrated by investigating the properties of electrocatalysts through the analysis of electronic band structure, charge density distribution, and controllable adsorption energy. Furthermore, challenges and perspectives for future development of defects in NO3RR are also discussed, which can help researchers to better understand the defect engineering in catalysts, and also inspire scientists entering into this promising field.

Nonintubated spontaneous ventilation versus intubated mechanical ventilation anesthesia for video-assisted thoracic surgery in terms of perioperative complications and practitioners' workload assessments: a pilot randomized control study.

BACKGROUND: The use of nonintubated video-assisted thoracoscopic surgery (NI-VATS) has been increasingly reported to yield favourable outcomes. However, this technology has not been routinely used because its advantages and safety have not been fully confirmed. The aim of this study was to assess the safety and feasibility of nonintubated spontaneous ventilation (NI-SV) anesthesia compared to intubated mechanical ventilation (I-MV) anesthesia in VATS by evaluating of perioperative complications and practitioners' workloads. METHODS: Patients who underwent uniportal VATS were randomly assigned at a 1:1 ratio to receive NI-SV or I-MV anesthesia. The primary outcome was the occurrence of intraoperative airway intervention events, including transient MV, conversion to intubation and repositioning of the double-lumen tube. The secondary outcomes included perioperative complications and modified National Aeronautics and Space Administration Task Load Index (NASA-TLX) scores from anesthesiologists and surgeons. RESULTS: Thirty-five patients in each group were enrolled in the intention-to-treat analysis. The incidence of intraoperative airway intervention events was greater in the NI-SV group than in the I-MV group (12 [34.3%] vs. 3 [8.6%]; OR = 0.180; 95% CI = 0.045-0.710; p = 0.009). No significant difference was found in the postoperative pulmonary complications between the groups (p > 0.05). The median of the anesthesiologists' overall NASA-TLX score was 37.5 (29-52) when administering the NI-SV, which was greater than the 25 (19-34.5) when the I-MV was administered (p < 0.001). The surgeons' overall NASA-TLX score was comparable between the two ventilation strategies (28 [21-38.5] vs. 27 [20.5-38.5], p = 0.814). CONCLUSION: The NI-SV anesthesia was feasible for VATS in the selected patients, with a greater incidence of intraoperative airway intervention events than I-MV anesthesia, and with more surgical effort required by anesthesiologists. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR2200055427. https://www.chictr.org.cn/showproj.html?proj=147872 was registered on January 09, 2022.

Ruderman-Kittel-Kasuya-Yosida-Type Interlayer Dzyaloshinskii-Moriya Interaction in Synthetic Magnets.

Conduction electron spins interacting with magnetic impurity spins can mediate an interlayer exchange interaction, namely, the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction. This discovery opened the way to significant technological developments in the field of magnetic storage and spintronics. So far, the RKKY-type interlayer interaction has been found to construct symmetric coupling of magnetism; however, the asymmetric counterpart remains unexplored. Here we report unprecedented RKKY-type interlayer Dzyaloshinskii-Moriya interaction (DMI) in synthetic magnets, exhibiting a damped oscillatory feature. This asymmetric interlayer interaction is found to be dramatically dependent on the intermediate coupling layer. By introducing the Fert-Lévy model to the trilayer system, we reveal that the in-plane inversion symmetry breaking plays a pivotal role for generating interlayer DMI and the RKKY oscillation is an intrinsic behavior in metallic multilayers. Our finding fills up the empty block for RKKY-type asymmetric interlayer exchange coupling in comparison to the well-known (symmetric) RKKY-type interlayer exchange coupling.

Genome-wide identification and expression analysis of TIFY genes under MeJA, cold and PEG-induced drought stress treatment in Dendrobium huoshanense.

The TIFY family consists of plant-specific genes that regulates multiple plant functions, including developmental and defense responses. Here, we performed a comprehensive genomic analysis of TIFY genes in Dendrobium huoshanense. Our analysis encompassed their phylogenetic relationships, gene structures, chromosomal distributions, promoter regions, and patterns of collinearity. A total of 16 DhTIFY genes were identified, and classified into distinct clusters named JAZ, PPD, ZIM, and TIFY based on their phylogenetic relationship. These DhTIFYs exhibited an uneven distribution across 7 chromosomes. The expansion of the DhTIFY gene family appears to have been significantly influenced by whole-genome and segmental duplication events. The ratio of non-synonymous to synonymous substitutions (Ka/Ks) implies that the purifying selection has been predominant, maintaining a constrained functional diversification after duplication events. Gene structure analysis indicated that DhTIFYs exhibited significant structural variation, particularly in terms of gene organization and intron numbers. Moreover, numerous cis-acting elements related to hormone signaling, developmental processes, and stress responses were identified within the promoter regions. Subsequently, qRT-PCR experiments demonstrated that the expression of DhTIFYs is modulated in response to MeJA (Methyl jasmonate), cold, and drought treatment. Collectively, these results enhance our understanding of the functional dynamics of TIFY genes in D. huoshanense and may pinpoint potential candidates for detailed examination of the biological roles of TIFY genes. Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-024-01442-9.

Recognition on pharmacodynamic ingredients of natural products.

Natural products (NPs) play an irreplaceable role in the intervention of various diseases and have been considered a critical source of drug development. Many new pharmacodynamic compounds with potential clinical applications have recently been derived from NPs. These compounds range from small molecules to polysaccharides, polypeptides, proteins, self-assembled nanoparticles, and extracellular vesicles. This review summarizes various active substances found in NPs. The investigation of active substances in NPs can potentiate new drug development and promote the in-depth comprehension of the mechanism of action of NPs that can be beneficial in the prevention and treatment of human diseases.

Diversity and ecological assembly process of aerobic anoxygenic phototrophic bacteria in a low irradiation area, Three Gorges Reservoir.

Aerobic anoxygenic phototrophic bacteria (AAPB) are significant bacterial groups in aquatic ecosystems, known for their rapid growth and photoheterotrophic characteristics. However, the distribution and ecological assembly process of AAPB in low irradiation freshwater basins remain unclear, warranting further investigation. In this study, we present the diversity, abundance, spatial variations, ecological process, and community interaction of AAPB in sediment of Three Gorges Reservoir (TGR) under low irradiation. Our findings demonstrate the dominant genera of AAPB community that exist in the TGR area also are appeared in different waters, with some regional preference. Moreover, the concentration of pufM gene, an indicator for AAPB, maintains a consistently high numerical level ranging from (2.21 ± 0.44) × 104 to (9.98 ± 0.30) × 107 gene copies/g. Although solar irradiation is suggested as the major factor affecting AAPB, it remains unclear whether and how AAPB differ between regions due to varying solar irradiation levels. Our results show spatial differences between total bacteria and AAPB communities, with significant differences observed only in AAPB. Geographical and environmental factor contributed less than 10% to the spatial difference of community, with sediment type and environmental factors being the key factors influencing microbial community structure. The stochastic process plays a dominant role in the aggregation and replacement of AAPB communities, among which the most contribution is dispersal limitation. For AAPB network, Yoonia and Gemmobacter are the hubs for modules. Those results valuable insights into the AAPB communities in TGR with low irradiation.

Azonia-Naphthalene: A Cationic Hydrophilic Building Block for Stable N-Type Organic Mixed Ionic-Electronic Conductors.

Conjugated polymers that can efficiently transport both ionic and electronic charges have broad applications in next-generation optoelectronic, bioelectronic, and energy storage devices. To date, almost all the conjugated polymers have hydrophobic backbones, which impedes efficient ion diffusion/transport in aqueous media. Here, we design and synthesize a novel hydrophilic polymer building block, 4a-azonia-naphthalene (AN), drawing inspiration from biological systems. Because of the strong electron-withdrawing ability of AN, the AN-based polymers show typical n-type charge transport behaviors. We find that cationic aromatics exhibit strong cation-π interactions, leading to smaller π-π stacking distance, interesting ion diffusion behavior, and good morphology stability. Additionally, AN enhances the hydrophilicity and ionic-electronic coupling of the polymer, which can help to improve ion diffusion/injection speed, and operational stability of organic electrochemical transistors (OECTs). The integration of cationic building blocks will undoubtedly enrich the material library for high-performance n-type conjugated polymers.

Haplotype-resolved genome assembly of Bletilla striata (Thunb.) Reichb.f. to elucidate medicinal value.

Bletilla striata, commonly known as baiji, is a species used in traditional Chinese medicine; it is highly regarded for its medicinal applications and therefore has high economic value. Here, we report a high-quality haplotype-resolved genome of B. striata, haplotype A (2.37 Gb, with a scaffold N50 of 146.39 Mb and a contig N50 of 1.65 Mb) and haplotype B (2.43 Gb, with a scaffold N50 of 150.22 Mb and a contig N50 of 1.66 Mb), assembled from high-fidelity (HiFi) reads and chromosome conformation capture (Hi-C) reads. We find evidence that B. striata has undergone two whole-genome duplication (WGD) events: an ancient WGD event shared by most monocots and a recent WGD event unique to all orchids. We also reconstructed the ancestral orchid karyotype (AOK) of 18 ancient chromosomes and the evolutionary trajectories of 16 modern B. striata chromosomes. Comparative genomic analysis suggests that the expanded gene families of B. striata might play important roles in secondary metabolite biosynthesis and environmental adaptation. By combining genomic and transcriptomic data, we identified the 10 core members from nine gene families that were probably involved in B. striata polysaccharide (BSP) biosynthesis. Based on virus-induced gene silencing (VIGS) and yeast two-hybrid experiments, we present an MYB transcription factor (TF), BsMYB2, that can regulate BSP biosynthesis by directly interacting with eight key BSP-related genes: sacA1, HK1, scrK1, scrK2, GPI1, manA1, GMPP1 and UGP2_1. Our study will enhance the understanding of orchid evolution and accelerate the molecular-assisted breeding of B. striata for improving traits of medicinal value.

Preventable burden of head and neck cancer attributable to tobacco and alcohol between 1990 and 2039 in China.

Tobacco use and heavy alcohol consumption are risk factors for head and neck cancer (HNC), including oral, pharynx, and larynx cancer. No study has investigated the preventable burden of HNC attributable to tobacco and alcohol in China. We extracted data from 1990 to 2019 from the Global Burden of Disease. The preventable burden attributable to tobacco and alcohol was estimated by subtracting the overlapping fraction derived from a literature search. Descriptive analyses were performed initially, followed by joinpoint regression and age-period-cohort (APC) analysis. The future burden was forecasted using a Bayesian APC model. The crude burden increased significantly, while the age-standardized rates showed a downward trend from 1990 to 2019 in China. Both all-age and age-standardized population attributable fractions rose significantly, potentially due to the poor prognosis of tobacco- and alcohol-associated HNC. The absolute burden would continue to climb in the next 20 years from 2019, largely due to population aging. For site-specific burden, compared with total, pharynx, and larynx cancer burden, the substantial upward trend of oral cancer burden indicated a strong interaction with risk factors such as genetic susceptibility, betel nut chewing, oral microbiota, and human papillomavirus. The burden of oral cancer attributable to tobacco and alcohol is a major concern and is anticipated to become more severe than cancer in other anatomic sites. Altogether, our study provides useful information to rethink the current restrictions on tobacco and alcohol, lean healthcare resources, and develop effective HNC prevention and control strategies.

Flavonoids: a review on biosynthesis and transportation mechanism in plants.

In recent years, significant progress has been made in understanding the biosynthetic pathway and regulation of flavonoids through forward genetic approaches. However, there remains a notable gap in knowledge regarding the functional characterization and underlying processes of the transport framework responsible for flavonoid transport. This aspect requires further investigation and clarification to achieve a comprehensive understanding. Presently, there are a total of four proposed transport models associated with flavonoids, namely glutathione S-transferase (GST), multidrug and toxic compound extrusion (MATE), multidrug resistance-associated protein (MRPs), and bilitranslocase-homolog (BTL). Extensive research has been conducted on the proteins and genes related to these transport models. However, despite these efforts, numerous challenges still exist, leaving much to be explored in the future. Gaining a deeper understanding of the mechanisms underlying these transport models holds immense potential for various fields such as metabolic engineering, biotechnological approaches, plant protection, and human health. Therefore, this review aims to provide a comprehensive overview of recent advancements in the understanding of flavonoid transport mechanisms. By doing so, we aim to paint a clear and coherent picture of the dynamic trafficking of flavonoids.

Functional and kinetics of two efficient phenylalanine ammonia lyase from Pyrus bretschneideri.

BACKGROUND: The enzyme phenylalanine ammonia lyase (PAL) controls the transition from primary to secondary metabolism by converting L-phenylalanine (L-Phe) to cinnamic acid. However, the function of PAL in pear plants (Pyrus bretschneideri) has not yet been fully elucidated. RESULTS: We identified three PAL genes (PbPAL1, PbPAL2 and PbPAL3) from the pear genome by exploring pear genome databases. The evolutionary tree revealed that three PbPALs were classified into one group. We expressed PbPAL1 and PbPAL2 recombinant proteins, and the purified PbPAL1 and PbPAL2 proteins showed strict substrate specificity for L-Phe, no activity toward L-Tyr in vitro, and modest changes in kinetics and enzyme characteristics. Furthermore, overexpression of PbAL1 and PbPAL1-RNAi, respectively, and resulted in significant changes in stone cell and lignin contents in pear fruits. The results of yeast one-hybrid (Y1H) assays that PbWLIM1 could bind to the conserved PAL box in the PbPAL promoter and regulate the transcription level of PbPAL2. CONCLUSIONS: Our findings not only showed PbPAL's potential role in lignin biosynthesis but also laid the foundation for future studies on the regulation of lignin synthesis and stone cell development in pear fruit utilizing molecular biology approaches.

Engineered Extracellular Vesicles to Enhance Antigen Presentation for Boosting Light-Driven Tumor Immunotherapy.

Extracellular vesicles (EVs) have emerged as potential tools for tumor-target therapy accompanied with activating anticancer immune responses by serving as an integrated platform, but usually suffered from the limited cross presentation of tumor-associated antigen by dendritic cells (DCs). Here, a straightforward engineering strategy to construct heat shock proteins 70 (HSP70) highly expressed EVs incapsulated with Te nanoparticles (Te@EVsHSP70 ) for tumor photothermal therapy triggering improved immunotherapy is proposed. Tumor cells are firstly used as bioreactors for intracellular synthesis of Te nanoparticles, and NIR irradiation is subsequently introduced to upregulate the expression of HSP70 to give engineered Te@EVsHSP70 through exocytosis. Te@EVsHSP70 exhibits excellent photothermal performance and enhanced tumor antigen capture capability, which induces significant immunogenic death of tumor cells and improves DCs maturation both in vitro and in vivo. Thus, the engineered EVs demonstrate superior antitumor efficacy through photothermal effect and following provoked antitumor immune responses. This work provides a facile method to fabricate multifunctional EVs-based drug delivery system for improving photothermal-triggered tumor immunotherapy.

Artificial intelligence for HPV status prediction based on disease-specific images in head and neck cancer: A systematic review and meta-analysis.

Accurate early detection of the human papillomavirus (HPV) status in head and neck cancer (HNC) is crucial to identify at-risk populations, stratify patients, personalized treatment options, and predict prognosis. Artificial intelligence (AI) is an emerging tool to dissect imaging features. This systematic review and meta-analysis aimed to evaluate the performance of AI to predict the HPV positivity through the HPV-associated diseased images in HNC patients. A systematic literature search was conducted in databases including Ovid-MEDLINE, Embase, and Web of Science Core Collection for studies continuously published from inception up to October 30, 2022. Search strategies included keywords such as "artificial intelligence," "head and neck cancer," "HPV," and "sensitivity & specificity." Duplicates, articles without HPV predictions, letters, scientific reports, conference abstracts, or reviews were excluded. Binary diagnostic data were then extracted to generate contingency tables and then used to calculate the pooled sensitivity (SE), specificity (SP), area under the curve (AUC), and their 95% confidence interval (CI). A random-effects model was used for meta-analysis, four subgroup analyses were further explored. Totally, 22 original studies were included in the systematic review, 15 of which were eligible to generate 33 contingency tables for meta-analysis. The pooled SE and SP for all studies were 79% (95% CI: 75-82%) and 74% (95% CI: 69-78%) respectively, with an AUC of 0.83 (95% CI: 0.79-0.86). When only selecting one contingency table with the highest accuracy from each study, our analysis revealed a pooled SE of 79% (95% CI: 75-83%), SP of 75% (95% CI: 69-79%), and an AUC of 0.84 (95% CI: 0.81-0.87). The respective heterogeneities were moderate (I2 for SE and SP were 51.70% and 51.01%) and only low (35.99% and 21.44%). This evidence-based study showed an acceptable and promising performance for AI algorithms to predict HPV status in HNC but was not comparable to the routine p16 immunohistochemistry. The exploitation and optimization of AI algorithms warrant further research. Compared with previous studies, future studies anticipate to make progress in the selection of databases, improvement of international reporting guidelines, and application of high-quality deep learning algorithms.

Genomic evolution and the impact of SLIT2 mutation in relapsed intrahepatic cholangiocarcinoma.

BACKGROUND AND AIMS: Intrahepatic cholangiocarcinoma (ICC) is aggressive and has high rates of relapse, conferring poor long-term survival after curative resection. Little is known about the genomic evolution that occurs during ICC relapse. APPROACH AND RESULTS: We conducted whole-exome sequencing of 30 paired primary and relapsed tumors from 10 patients with ICC who received curative resection. We sought to identify frequently altered genes, infer tumor subclonal architectures, and track genomic evolution from primary to relapsed tumors. We examined functional effects and the mechanism of action of SLIT2, a gene specifically mutated in relapsed tumors, on tumor growth and metastasis and the tumor microenvironment. Our results indicated that relapsed ICCs were genetically derived from intrahepatic dissemination of primary tumors. However, they acquired additional mutations while maintaining most drivers, such as TP53 and IDH1. Multiregion sequencing suggested polyclonal seeding of ICC dissemination. Four of 10 relapsed ICCs acquired SLIT2 mutations that were not present in the corresponding primary tumors. Validation in an expanded sample revealed SLIT2 mutations in 2.3% (1/44) of primary ICCs and 29.5% (13/44) of relapsed ICCs. Biofunctional investigations revealed that inactivating mutation of SLIT2 resulted in activation of PI3K-Akt signaling in ICC cells, directly enhanced neutrophil chemotaxis, mediated tumor-associated neutrophil infiltration, and contributed to ICC growth and metastasis. CONCLUSIONS: We characterized genomic evolution during ICC relapse and identified SLIT2 as a driver of tumor dissemination and tumor-associated neutrophil infiltration.

Erratum: Long-Distance Coherent Propagation of High-Velocity Antiferromagnetic Spin Waves [Phys. Rev. Lett. 130, 096701 (2023)].

This corrects the article DOI: 10.1103/PhysRevLett.130.096701.

Long-Distance Coherent Propagation of High-Velocity Antiferromagnetic Spin Waves.

We report on coherent propagation of antiferromagnetic (AFM) spin waves over a long distance (∼10 µm) at room temperature in a canted AFM α-Fe_{2}O_{3} owing to the Dzyaloshinskii-Moriya interaction (DMI). Unprecedented high group velocities (up to 22.5 km/s) are characterized by microwave transmission using all-electrical spin wave spectroscopy. We derive analytically AFM spin-wave dispersion in the presence of the DMI which accounts for our experimental results. The AFM spin waves excited by nanometric coplanar waveguides have large wave vectors in the exchange regime and follow a quasilinear dispersion relation. Fitting of experimental data with our theoretical model yields an AFM exchange stiffness length of 1.7 Å. Our results provide key insights on AFM spin dynamics and demonstrate high-speed functionality for AFM magnonics.