The nucleus of the solitary tract (NTS) is the primary hub for sensing and integrating respiratory information. It integrates input from the vagus and glossopharyngeal nerve. It interacts with other brainstem nuclei, such as the nucleus ambiguus (NA) and the dorsal motor nucleus of the vagus (DMV), to transmit information and initiate a neuroreflex response to respiratory stimuli. In a recent issue of the journal Nature, Su et al. demonstrated that Dbh+ neurons in the NTS can receive signals from vagal Trpv1+ sensory neurons that sense allergen−induced IL−4 production in mast cells and pass the signal to Chat+ neurons in the NA by releasing norepinephrine. Subsequently, NA Chat+ neurons drive allergen−induced airway hyperresponsiveness by projecting onto cholinergic pulmonary ganglia in the lungs. This study not only provides new insights into the regulation of allergen−induced airway hyperresponsiveness by lung−vagus–brainstem interoceptive circuit but also provides us with new strategies to combat asthma.
The rapid development of 3D printing, also known as additive manufacturing, has opened up new opportunities for applying shape memory polymers (SMPs) in various fields. The use of abundant, inexpensive, and easily accessible biomass materials as printing raw materials not only facilitates the creation of more intricate SMPs but also aligns with the principles of low-carbon, green, and sustainable development. Here, we successfully printed a shape memory cross-linked network (NW-MO-TTMP) in a single step by direct-ink-writing printing and an in-situ thiol-ene click reaction with magnolol and trimethylolpropane tris(3-mercaptopropionate) as raw materials. The resulting NW-MO-TTMP network exhibited high mechanical properties and a tensile strength (σ) of up to 2.7 MPa when the thiol-ene ratio was 1.0:1, and the photo-initiator content was 1.5%. To improve printability, ethyl cellulose (EC) derived from biomass was incorporated to enhance the viscosity of the printing precursor fluid, resulting in a significant increase in the σ of the NW-MO-TTMP/EC network, reaching 20.6 MPa. Moreover, the successful printing of intricate models, such as the ‘whale’ and ‘octopus,’ demonstrated excellent shape memory effects. This approach highlights the potential of combining biomass-derived materials with advanced 3D printing techniques to develop sustainable and high-performance SMPs.
Forensic DNA analysis has fundamentally transformed criminal investigations, providing an unprecedented level of accuracy in identifying suspects, exonerating the innocent, and solving cold cases. This manuscript reviews the emerging technologies that are reshaping the field of forensic DNA analysis, including next-generation sequencing (NGS), rapid DNA analysis, AI-driven forensic workflows, 3D genomics, and mobile DNA platforms. These innovations enhance the speed, precision, and scope of DNA analysis, allowing forensic scientists to process evidence more efficiently, analyze more complex samples, and conduct real-time field-based investigations. While these advancements hold great promise, they also introduce significant challenges, such as ensuring data security, maintaining the integrity of evidence, and navigating the ethical and legal implications of new forensic technologies. Issues related to privacy, consent, and potential bias in DNA databases are becoming increasingly complex as these systems expand. Furthermore, the legal admissibility of cutting-edge technologies like AI-driven DNA analysis and phenotypic prediction must be carefully evaluated to ensure the rigorous standards of forensic evidence in court are met.This review explores the opportunities and challenges associated with these emerging technologies, emphasizing the importance of responsible and ethical use. By examining advances in DNA extraction, spatial DNA analysis, and the integration of AI in forensic workflows, this manuscript provides forensic professionals with a roadmap for navigating the evolving landscape of forensic DNA analysis. The future of forensic DNA analysis lies in balancing technological innovation with the commitment to justice, ensuring that DNA evidence remains a reliable and indispensable tool in pursuing a more equitable legal system.
The aim of the study was to compare Hypoxic Ventilatory Response (HVR) of sleep apnea in Uygur patients stemming from higher altitude and Chinese Han patients from sea level. 276 subjects with or without snoring from the Karamay community were recruited. 226 subjects (n = 71 Han OSA patients, n = 75 Uygur OSA patients, n = 52 for Uygur control subjects without OSA, n = 28 Han control subjects without OSA) were matched for age and gender. All patients were assessed via polysomnography (PSG). Lung function was assessed. Apnea-hypopnea index (AHI), mean SaO2 (MSaO2%), lowest SaO2 (LSaO2%), the number of desaturations ≥4% per hour (ODI4), FEV1/FVC ratio, HVR, △VE/△SaO2 and the pulse responses to hypoxia changes (ΔPulse/ΔSaO2) were calculated. A multiple logistic regression using a binary outcome for HVR was applied. (1) In control subjects without OSA, those living at high altitude (Uygur) had a lower HVR than control subjects living at sea level (Han) [−0.35L·min−1 per %SpO2(−0.49 to−0.20 L·min−1 per %SpO2) vs.−0.44 L·min−1 per %SpO2(−0.55 to −0.21 L·min−1 per %SpO2)]. (2) Compared to patients with OSA living at sea level (Han), those OSA patients living at high altitude (Uygur) had a higher neck circumference [43 cm (range 39–45 cm) vs. 42 cm (41–46) cm], higher abdominal circumference [110 cm (102–120 cm) vs. 101 cm (98–111 cm], higher LSaO2 [81% (72–85%) vs. 76% (68–81%)], lower AHI [26 events/h (16–43 events/h) vs. 36 events/h (24–62 events/h)] and lower ODI4 [15/h (7–29/h) vs. 37/h (20–54/h)]. (3) Considering patients with mild OSA, those who lived at high altitude (Uygur) had a weaker HVR compared to Han patients [−0.31 L·min−1 per %SpO2(−0.42 to −0.20 L·min−1 per %SpO2) vs.−0.47 L·min−1 per %SpO2(−0.59 to −0.21 L·min−1 per %SpO2)]. However, in moderate and severe OSA the difference in HVR between people living at high and low altitudes was not significant. In people living at high altitude (Uygur) compared to sea level (Han), HVR is weaker both in control subjects and those with mild OSA, but this difference between populations living at different altitudes in those with moderate and severe OSA is not obvious.
Archaic and modern humans differ in a range of craniodental features. From a taxonomic and phylogenetic perspective, it is essential to distinguish between species accurately through detailed morphological characterizations. This study analyzes the size and shape variation of the enamel-dentine junction (EDJ) of upper molars from two hominin species, early Neanderthals from Krapina (N = 13) and mid-Holocene European modern humans (N = 14), to assess the extent of their endostructural morphological differentiation. The EDJ was obtained through microtomographic scans of each molar using segmentation procedures. Three-dimensional landmarks semilandmarks and 3D geometric morphometric methods, were employed to investigate EDJ size and shape variation through univariate (t-test), multivariate exploratory, and classification methods (PCA and LDA). The results indicate that the shape of the EDJ and cervix of M2 differentiates Krapina Neanderthals from mid-Holocene European modern humans with a high degree of accuracy (~85%). Furthermore, EDJ size and dental nonmetric traits expressed in this structure provide additional information that is useful for distinguishing between the two species. Compared to modern humans, Krapina Neanderthals exhibit reduced dental diversity. From an endostructural perspective, this study provides additional insights into early Neanderthals’ morphological diversification relative to modern humans, which is valuable for studying middle and late Pleistocene hominin evolution.
Understanding community preferences and perceptions of ecosystem services is needed to generate local-level financing through Payment for Ecosystem Services. Local-level financing is crucial for both ecosystem management and also helpful in climate change adaptation actions. This research focuses on community perceptions of payment for ecosystem schemes and their preferences to generate local-level financing. The study was carried out in Dhankuta and Dasarath Chand municipalities, representing Koshi and Sudur Paschim provinces of Nepal. We applied social science research methods using focus group discussions, key informant interviews, and community surveys. The study indicates that community-perceived payment for ecosystem service schemes can be instrumental in generating local financing, and their preference is more towards in-kind or project-based payment mechanisms. While climate change is largely impacting ecosystems and community livelihoods, project-based payment mechanisms could be more effective than cash payments. However, this needs a strong institutional mechanism within the municipal government where such in-kind or project-based support could be mobilized through a multisectoral approach.
Fibrosis is defined as the excessive accumulation and disorganized deposition of extracellular matrix components, affecting any organ in the human body. Fibrotic diseases of the vital organs such as lung, heart, kidney and liver can be chronic, progressive, irreversible and fatal. Although fibrotic diseases account for 45% of the mortality in the Western world, the available treatment options are limited in numbers, efficacy and safety. There is certainly a lack of progress in developing novel anti-fibrotics even though the market size for fibrotic diseases is estimated to be ~$30B and several pharmaceutical companies have active R&D programmes in this field. We reviewed the current efforts in developing novel anti-fibrotic medicines focusing on lung, heart, kidney, liver and skin fibrosis. Our analysis revealed an estimated 83% attrition rate from Phase 2 to Phase 3 trials across the five fibrotic diseases. The possible reasons for the slow pace and high attrition rates in developing new anti-fibrotics are discussed and potential solutions are proposed.
Polydopamine (PDA) is also widely sought after in photocatalytic applications due to its fascinating properties such as simple preparation, templating agent, near-infrared absorption, high photothermal conversion efficiency, abundant functional groups, and strong chelating effect of metal ions. This review will present the structural features and synthetic methods of PDA, the advantages of PDA for photocatalytic applications (templating agent effect, light absorption properties, film-forming properties, hydrophilicity, conductivity, etc.), the modulation strategies of PDA for photocatalytic applications, and the use of PDA-based photocatalytic materials for solar-powered water purification (heavy metal adsorption and reduction, catalytic degradation of organic pollutants, and antimicrobial properties), hydrogen production, hydrogen peroxide production, CO2 reduction, and organic conversion. Finally, this review will provide valuable information for the design and development of PDA-based photocatalytic materials.
Good projects and solutions aiming at sustainable development must repair the damage done in past decades by being explicitly designed and monitored to achieve synergetic benefits for the environment and society. We identify environmental, social and economic aspects of sustainability in which enlightened forest management can increase the fulfillment of human and ecological needs and hence the quality of life of present and future generations. Projects aiming at energy production and profits at the cost of biodiversity, nature protection, and human health and well-being are therefore questionable and increasingly socially and politically unacceptable—especially where the viability of alternative options with better social and ecological footprints can be easily demonstrated. This is also true for renewable energy projects. The perspective presented here demonstrates how ostensibly renewable energy projects in natural areas, such as large-scale wind and solar power plants in traditional forests, which are planned, for example, in Germany, may be detrimental to ecological and social sustainability. Forests cut down for such projects are “non-renewable” within reasonable time-scales left to stabilize our climate and ecosystems. Such projects also impair the credibility of the proclaimed role model character and sustainability leadership of Global North countries, which can lead to negative implications for the protection of forests in tropical countries.
Human identification is the core component of Forensic Odontology. The process of identification of unknown remains generally starts with the reconstruction of the skeletal biological profile, which provides a general description of the individual that is used to narrow down the candidates for the identity. Once one or more candidates are given for the identity, forensic odontologists conduct the comparison between the antemortem and postmortem records. The postmortem vs. the antemortem data comparison implies the evaluation of the consistencies and inconsistencies found in the data sets. This comparison is highly affected by the quality and completeness of the antemortem records, as well as the condition of the remains. The principles of the odontological comparison are based on the differences in the dental and maxillofacial structures due to human variation, development and pathology, and the alteration caused by dental treatment, which can be visually and radiographically observed. Restorative treatment, osseointegrated dental implants, fixed orthodontic and prosthetic appliances, along with dental and maxillofacial anatomy are the most informative features for the postmortem vs. antemortem comparison. The process of comparison consists of an objective identification of the consistencies and discrepancies. However, their interpretation and the final conclusion relies on the forensic odontologist knowledge and proficiency. Computer software packages such as WinID, DVI System International and UVIS can assist in the comparisons, connecting the postmortem and antemortem information and creating a ranking of possible matches. Moreover, deep machine learning models are being explored automate the comparison process. However, all comparison procedures still require the expert’s final assessment.