Miracle-dz/UniFAR-FTUs huggingface dataset:
Drought-Induced Responses of Nitrogen Metabolism in Ipomoea batatas

This study investigated the effect of water stress, simulated by the polyethylene glycol (PEG-6000) method, on nitrogen (N) metabolism in leaves and roots of hydroponically grown sweet potato seedlings, Xushu 32 (X32) and Ningzishu 1 (N1). The concentrations of PEG-6000 treatments were 0%, 5% and 10% (m/v). The results showed that the drought-treated plants showed a decline leaf relative water content, and revealed severe growth inhibition, compared with the 0% treatment. Under drought stress, the decline in biomass of the leaf and stem was more noticeable than in root biomass for X32, leading to a higher root to shoot ratio. Drought stress increased the nitrate nitrogen (NO3−-N) and protein in leaves, but reduced all the activities of N-metabolism enzymes and the transcriptional levels of nitrate reductase (NR), glutamine synthetase (GS) and glutamate synthase (GOGAT); in roots, NO3−-N and NR had opposite trends. The leaf ammonium nitrogen (NH4+-N), GS and amino acid had different trends between X32 and N1 under drought stress. Furthermore, the transcriptional level of nitrate transporter genes NRT1.1 in leaves and roots were upregulated under drought stress, except in N1 roots. In conclusion, NR determined the different response to drought in leaves for X32 and N1, and GS and GOGAT determined the response to drought in roots, respectively.
An Integrated Analytical Approach Reveals Trichome Acylsugar Metabolite Diversity in the Wild Tomato Solanum pennellii

Acylsugars constitute an abundant class of pest- and pathogen-protective Solanaceae family plant-specialized metabolites produced in secretory glandular trichomes. Solanum pennellii produces copious triacylated sucrose and glucose esters, and the core biosynthetic pathway producing these compounds was previously characterized. We performed untargeted metabolomic analysis of S. pennellii surface metabolites from accessions spanning the species range, which indicated geographic trends in the acylsugar profile and revealed two compound classes previously undescribed from this species, tetraacylglucoses and flavonoid aglycones. A combination of ultrahigh-performance liquid chromatography–high resolution mass spectrometry (UHPLC–HR-MS) and NMR spectroscopy identified variations in the number, length, and branching pattern of acyl chains, and the proportion of sugar cores in acylsugars among accessions. The new dimensions of acylsugar variation revealed by this analysis further indicate variation in the biosynthetic and degradative pathways responsible for acylsugar accumulation. These findings provide a starting point for deeper investigation of acylsugar biosynthesis, an understanding of which can be exploited through crop breeding or metabolic engineering strategies to improve the endogenous defenses of crop plants.
Pericyte-Endothelial Interactions in the Retinal Microvasculature

Retinal microvasculature is crucial for the visual function of the neural retina. Pericytes and endothelial cells (ECs) are the two main cellular constituents in the retinal microvessels. Formation, maturation, and stabilization of the micro-vasculatures require pericyte-endothelial interactions, which are perturbed in many retinal vascular disorders, such as retinopathy of prematurity, retinal vein occlusion, and diabetic retinopathy. Understanding the cellular and molecular mechanisms of pericyte-endothelial interaction and perturbation can facilitate the design of therapeutic intervention for the prevention and treatment of retinal vascular disorders. Pericyte-endothelial interactions are indispensable for the integrity and functionality of retinal neurovascular unit (NVU), including vascular cells, retinal neurons, and glial cells. The essential autocrine and paracrine signaling pathways, such as Vascular endothelial growth factor (VEGF), Platelet-derived growth factor subunit B (PDGFB), Notch, Angipointein, Norrin, and Transforming growth factor-beta (TGF-β), have been well characterized for the regulation of pericyte-endothelial interactions in the neo-vessel formation processes (vasculogenesis and angiogenesis) during embryonic development. They also play a vital role in stabilizing and remodeling mature vasculature under pathological conditions. Awry signals, aberrant metabolisms, and pathological conditions, such as oxidative stress and inflammation, can disrupt the communication between pericytes and endothelial cells, thereby resulting in the breakdown of the blood-retinal barrier (BRB) and other microangiopathies. The emerging evidence supports extracellular exosomes’ roles in the (mis)communications between the two cell types. This review summarizes the essential knowledge and updates about new advancements in pericyte-EC interaction and communication, emphasizing the retinal microvasculature.
Telehealth and Palliative Care for Patients With Cancer: Implications of the COVID-19 Pandemic

It has been reported that the incidence of SARS-CoV-2 infection is higher in patients with cancer than in the general population and that patients with cancer are at an increased risk of developing severe life-threatening complications from COVID-19. Increased transmission and poor outcomes noted in emerging data on patients with cancer and COVID-19 call for aggressive isolation and minimization of nosocomial exposure. Palliative care and oncology providers are posed with unique challenges due to the ongoing COVID-19 pandemic. Telepalliative care is the use of telehealth services for remotely delivering palliative care to patients through videoconferencing, telephonic communication, or remote symptom monitoring. It offers great promise in addressing the palliative and supportive care needs of patients with advanced cancer during the ongoing pandemic. We discuss the case of a 75-year-old woman who was initiated on second-line chemotherapy, to highlight how innovations in technology and telehealth-based interventions can be used to address patients’ palliative and supportive care needs in the ongoing epidemic.
Risk of smoking-related cancers among women and men living with and without hiv.

OBJECTIVES We investigated whether the effect of smoking on the incidence of smoking-related cancers differs by HIV-infection status, if sex modifies the impact of risk factors for smoking-related cancers, and the sex-specific attributable risk of smoking on cancer incidence. DESIGN Data from two large prospective studies in the United States were analyzed: 6,789 men in the Multicenter AIDS Cohort Study from 1984-2018 and 4,423 women in the Women's Interagency HIV Study from 1994-2018. METHODS Incidence rates (IRs), relative risks, and adjusted population attributable fractions (PAFs) were calculated for smoking-related cancers. RESULTS During study follow-up, there were 214 incident smoking-related cancers in the men and 192 in the women. The age-adjusted IRs for smoking-related cancers were higher in the women (392/100,000) than for the men (198/100,000; p < 0.01) and higher for people living with HIV (PLWH, 348/100,000) than for those without HIV (162/100,000; p < 0.01). Unadjusted IRs in PLWH were higher than in those without HIV when stratifying by cumulative pack-years of smoking (all p-values < 0.01). In adjusted interaction models, the effects of cumulative pack-years of smoking were significantly stronger in women. The adjusted PAFs for smoking-related cancers were non-significantly higher in the women than in the men (39% vs. 28%; p = 0.35). CONCLUSIONS HIV looks to be an independent risk factor for smoking-related cancers and women appear to have a greater risk than men. These results highlight the need for interventions to help PLWH, especially women, quit smoking and sustain cessation to reduce their risk of smoking-related cancers.
Surgical menopause: health implications and hormonal management.

A fter Cesarean birth, hysterectomy represents the most common major procedure performed in US women. A 2015 publication used a single US state database that included almost 7,000 US women undergoing hysterectomy for benign indications. Among women <51 years of age, bilateral salpingo-oophorectomy (BSO) with histologically normal ovaries found upon pathology evaluation was performed in nearly one of every four of these women. In contrast with natural menopause, surgical menopause (BSO before the natural age of menopause) causes a rapid drop in systemic estradiol. There is confusion among women, and some clinicians regarding the term ‘‘surgical menopause. ’’ It often helps to clarify that the absence of bleeding that occurs subsequent to hysterectomy does not mean the woman is menopausal. It is the absence of ovarian function after BSO which equates with surgical menopause. Among women with surgical menopause, short-term consequences include more severe vasomotor symptoms, and higher rates of mood disorders, sleep disturbances, sexual dysfunction, and joint symptoms, as well as reduced quality of life compared to women who undergo natural menopause. However, the impact of surgical menopause also includes important long-term adverse health outcomes. The best quality evidence regarding the long-term health consequences of surgical menopause comes from three large observational studies—two conducted in the United States and one in Britain. The prospective cohort Nurses’ Health Study (NHS) followed over 29,000 US women who had a hysterectomy for benign disease. In more than half of these women, hysterectomy was accompanied by BSO. The mean age at the time of surgery was 43.3 years and 46.8 years, respectively, in women who had ovarian conservation or BSO. During 24 years of follow-up, overall mortality and coronary heart disease (fatal plus nonfatal) occurred more often with BSO. In contrast, ovarian and breast cancers (along
A Novel Coarse Alignment Method for SINS Using Special Orthogonal Group Optimal Estimation

Aimed at the alignment problem of strapdown inertial navigation system (SINS) on the swing base, a novel coarse alignment method using special orthogonal group optimal estimation is proposed. There are two main contributions in this paper. First, based on the Lie group differential equation, the rotation matrix is updated directly by using error Lie algebra, which avoids the non-convexity of traditional methods and the need for non-collinear vector observation. Second is that a novel optimal estimation method is developed by using the exact error Lie algebra, which is calculated based on the physical definition of Lie algebra, as the innovation term to compensate the initial special orthogonal group in the estimation process. The asymptotic convergence of the proposed optimal estimation method is proved by Lyapunov’s second law. The simulation and experimental results demonstrate that the proposed method exhibits better performance than existing methods in alignment accuracy and time, which can achieve the self-alignment of SINS on the swing base.
Metformin enhances osteogenic differentiation of stem cells from human exfoliated deciduous teeth through AMPK pathway

Stem cells from human exfoliated deciduous teeth (SHEDs) are ideal seed cells in bone tissue engineering. As a first‐line antidiabetic drug, metformin has recently been found to promote bone formation. The purpose of this study was to investigate the effect of metformin on the osteogenic differentiation of SHEDs and its underlying mechanism. SHEDs were isolated from the dental pulp of deciduous teeth from healthy children aged 6 to 12, and their surface antigen markers of stem cells were detected by flow cytometry. The effect of metformin (10–200 μM) treatment on SHEDs cell viability, proliferation, and osteogenic differentiation was analyzed. The activation of adenosine 5′‐monophosphate‐activated protein kinase (AMPK) phosphorylation Thr172 (p‐AMPK) was determined by western blot assay. SHEDs were confirmed as mesenchymal stem cells (MSCs) on the basis of the expression of characteristic surface antigens. Metformin (10–200 μM) did not affect the viability and proliferation of SHEDs but significantly increased the expression of osteogenic genes, alkaline phosphatase activity, matrix mineralization, and p‐AMPK level expression in SHEDs. Compound C, a specific inhibitor of the AMPK pathway, abolished metformin‐induced osteogenic differentiation of SHEDs. Moreover, metformin treatment enhanced the expression of proangiogenic/osteogenic growth factors BMP2 and VEGF but reduced the osteoclastogenic factor RANKL/OPG expression in SHEDs. In conclusion, metformin could induce the osteogenic differentiation of SHEDs by activating the AMPK pathway and regulates the expression of proangiogenic/osteogenic growth factors and osteoclastogenic factors in SHEDs. Therefore, metformin‐pretreated SHEDs could be a potential source of seed cells during stem cell‐based bone tissue engineering.
Sigma‐1 receptor antagonist (BD‐1063) potentiates the antinociceptive effect of quercetin in neuropathic pain induced by chronic constriction injury

Neuropathic pain is characterized by the presence of hyperalgesia and allodynia. Pharmacological treatments include the use of antiepileptics such as pregabalin or gabapentin, as well as antidepressants; however, given the role of the sigma‐1 receptor in the generation and maintenance of pain, it has been suggested that sigma‐1 receptor antagonists may be effective. There are also other alternatives that have been explored, such as the use of flavonoids such as quercetin. Due to the relevance of drug combinations in therapeutics, the objective of this work was to evaluate the effect of the combination of BD‐1063 with quercetin in a chronic sciatic nerve constriction model using the “Surface of Synergistic Interaction” analysis method. The combination had preferable additive or synergistic effects, with BD‐1063 (17.8 mg/kg) + QUER (5.6 mg/kg) showing the best antinociceptive effects. The required doses were also lower than those used individually to obtain the same level of effect. Our results provide the first evidence that the combination of a sigma‐1 receptor antagonist and the flavonoid quercetin may be useful in the treatment of nociceptive behaviors associated with neuropathic pain, suggesting a new therapeutic alternative for this type of pain.
A historical biogeography of megadiverse Sericini—another story “out of Africa”?

Megadiverse insect groups present special difficulties for biogeographers because poor classification, incomplete knowledge of taxonomy, and many undescribed species can introduce a priori sampling bias to any analysis. The historical biogeography of Sericini, a tribe of melolonthine scarabs comprising about 4000 species, was investigated using the most comprehensive and time‐calibrated molecular phylogeny available today. Problems arising through nomenclatural confusion were overcome by extensive sampling (665 species) from all major lineages of the tribe. A West Gondwanan origin of Sericini (c. 112 Ma) was reconstructed using maximum parsimony, maximum‐likelihood and model‐based ancestral area estimation. Vicariance in the tribe's earliest history separated Neotropical and Old World Sericini, whereas subsequent lower Cretaceous biogeography of the tribe was characterized by repeated migrations out of Africa, resulting in the colonization of Eurasia and Madagascar. North America was colonized from Asia during the Cenozoic and a lineage of “Modern Sericini” reinvaded Africa. Diversification dynamics revealed three independent shifts to increased speciation rates: in African ant‐adapted Trochalus, Oriental Tetraserica, and Asian and African Sericina. Southern Africa is proposed as both cradle and refuge of Sericini. This area has retained many old lineages that portray the evolution of the African Sericini fauna as a series of taxon pulses.
Application of Plant Extracts to Control Postharvest Gray Mold and Susceptibility of Apple Fruits to B. cinerea from Different Plant Hosts

Sustainable plant protection can be applied on apples against fungal pathogens such as Botrytis cinerea (which is responsible for gray mold)—a significant global postharvest disease. This pathogen can affect a wide range of hosts; and fruits may have variable susceptibilities to B. cinerea from different plant hosts. New possibilities to control gray mold in food production are under demand due to the emergence of resistance against antifungal agents in fungal pathogens. Cinnamon, pimento, and laurel extracts were previously assessed for antifungal activities under in vitro conditions and were found to have the potential to be effective against postharvest gray mold. Therefore, this study aimed to investigate the antifungal activity of cinnamon, pimento, and laurel extracts in vitro and against postharvest gray mold on apples to determine the susceptibility of apple fruits to B. cinerea from different plant hosts, and to analyze the chemical composition of the extracts. Apples (cv. “Connell Red”) were treated with different concentrations of extracts and inoculated with B. cinerea isolates from apple and strawberry followed by evaluation of in vitro antifungal activity. The results reveal that most of the concentrations of the extracts that were investigated were not efficient enough when assessed in the postharvest assay, despite having demonstrated a high in vitro antifungal effect. Apples were less susceptible to B. cinerea isolated from strawberry. To conclude, cinnamon extract was found to be the most effective against apple gray mold; however, higher concentrations of the extracts are required for the efficient inhibition of B. cinerea in fruits during storage.
A Hybrid Intrusion Detection Model Combining SAE with Kernel Approximation in Internet of Things

Owing to the constraints of time and space complexity, network intrusion detection systems (NIDSs) based on support vector machines (SVMs) face the “curse of dimensionality” in a large-scale, high-dimensional feature space. This study proposes a joint training model that combines a stacked autoencoder (SAE) with an SVM and the kernel approximation technique. The training model uses the SAE to perform feature dimension reduction, uses random Fourier features to perform kernel approximation, and then random Fourier mapping is explicitly applied to the sub-sample to generate the random feature space, making it possible to apply a linear SVM to uniformly approximate to the Gaussian kernel SVM. Finally, the SAE performs joint training with the efficient linear SVM. We studied the effects of an SAE structure and a random Fourier feature on classification performance, and compared that performance with that of other training models, including some without kernel approximation. At the same time, we compare the accuracy of the proposed model with that of other models, which include basic machine learning models and the state-of-the-art models in other literatures. The experimental results demonstrate that the proposed model outperforms the previously proposed methods in terms of classification performance and also reduces the training time. Our model is feasible and works efficiently on large-scale datasets.
M2 Macrophages Promote Collagen Expression and Synthesis in Laryngotracheal Stenosis Fibroblasts

Macrophages exhibit distinct phenotypes and are dysregulated in a model of iatrogenic laryngotracheal stenosis (iLTS). Increased populations of alternatively activated or M2 macrophages have been demonstrated. However, the role of these macrophages is unknown. The aims of this study are: 1) define the macrophage population in iLTS in the context of classically activated or M1 and M2 macrophage phenotypes, and 2) characterize the effect of monocyte‐derived M1 and M2 macrophages on normal airway and LTS‐derived fibroblasts (FBs) in vitro.
Rapid deployment of a telemedicine care model for genetics and metabolism during COVID‐19

The national importance of telemedicine for safe and effective patient care has been highlighted by the current COVID‐19 pandemic. Prior to the 2020 pandemic the Division of Genetics and Metabolism piloted a telemedicine program focused on initial and follow‐up visits in the patients' home. The goals were to increase access to care, decrease missed work, improve scheduling, and avoid the transport and exposure of medically fragile patients. Visits were conducted by physician medical geneticists, genetic counselors, and biochemical dietitians, together and separately. This allowed the program to develop detailed standard operating procedures. At the onset of the COVID‐19 pandemic, this pilot‐program was deployed by the full team of 22 providers in one business day. Two physicians remained on‐site for patients requiring in‐person evaluations. This model optimized patient safety and workforce preservation while providing full access to patients during a pandemic. We provide initial data on visit numbers, types of diagnoses, and no‐show rates. Experience in this implementation before and during the pandemic has confirmed the effectiveness and value of telemedicine for a highly complex medical population. This program is a model that can and will be continued well‐beyond the current crisis.
Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interfaces Using Transcranial Near-Infrared Photobiomodulation With the Same Device

Transcranial near-infrared photobiomodulation (tNIR-PBM) can modulate physiological characteristics of the human brain, such as the cerebral blood flow and oxidative metabolism. Here, we investigated whether the performance of near-infrared spectroscopy (NIRS)-based brain-computer interfaces (BCIs) can be improved by tNIR-PBM applied to the prefrontal cortex with the same NIRS device. A total of 14 healthy individuals participated in the NIRS-based BCI study where the aim was to distinguish the mental arithmetic task from the idle state (IS) task either after tNIR-PBM or after sham stimulation, with the two experiments being conducted at least two days apart. The tNIR-PBM was applied by simply turning on the NIRS recording equipment for 20 min. To evaluate the degree of performance improvement obtained after tNIR-PBM, the average BCI classification accuracy obtained under the tNIR-PBM condition was compared with that obtained under the sham stimulation condition. The classification accuracy of NIRS-based BCI was significantly improved upon conduction of tNIR-PBM (82.74%) as compared to that in the sham stimulation condition (76.07%, p < 0.005). Thus, our results suggest that simply turning on the NIRS recording equipment before the BCI experiment can improve the performance of the NIRS-based BCI system.