Targeting TrkB-PSD-95 coupling to mitigate neurological disorders.

Tropomyosin receptor kinase B (TrkB) signaling plays a pivotal role in dendritic growth and dendritic spine formation to promote learning and memory. The activity-dependent release of brain-derived neurotrophic factor at synapses binds to pre- or postsynaptic TrkB resulting in the strengthening of synapses, reflected by long-term potentiation. Postsynaptically, the association of postsynaptic density protein-95 with TrkB enhances phospholipase Cγ-Ca2+/calmodulin-dependent protein kinase II and phosphatidylinositol 3-kinase-mechanistic target of rapamycin signaling required for long-term potentiation. In this review, we discuss TrkB-postsynaptic density protein-95 coupling as a promising strategy to magnify brain-derived neurotrophic factor signaling towards the development of novel therapeutics for specific neurological disorders. A reduction of TrkB signaling has been observed in neurodegenerative disorders, such as Alzheimer's disease and Huntington's disease, and enhancement of postsynaptic density protein-95 association with TrkB signaling could mitigate the observed deficiency of neuronal connectivity in schizophrenia and depression. Treatment with brain-derived neurotrophic factor is problematic, due to poor pharmacokinetics, low brain penetration, and side effects resulting from activation of the p75 neurotrophin receptor or the truncated TrkB.T1 isoform. Although TrkB agonists and antibodies that activate TrkB are being intensively investigated, they cannot distinguish the multiple human TrkB splicing isoforms or cell type-specific functions. Targeting TrkB-postsynaptic density protein-95 coupling provides an alternative approach to specifically boost TrkB signaling at localized synaptic sites versus global stimulation that risks many adverse side effects.

Cholelithiasis and cholecystectomy increase the risk of gastroesophageal reflux disease and Barrett's esophagus.

Background: Cholelithiasis or cholecystectomy may contribute to the development of gastroesophageal reflux disease (GERD), Barrett's esophagus (BE), and esophageal adenocarcinoma (EAC) through bile reflux; however, current observational studies yield inconsistent findings. We utilized a novel approach combining meta-analysis and Mendelian randomization (MR) analysis, to assess the association between them. Methods: The literature search was done using PubMed, Web of Science, and Embase databases, up to 3 November 2023. A meta-analysis of observational studies assessing the correlations between cholelithiasis or cholecystectomy, and the risk factors for GERD, BE, and EACwas conducted. In addition, the MR analysis was employed to assess the causative impact of genetic pre-disposition for cholelithiasis or cholecystectomy on these esophageal diseases. Results: The results of the meta-analysis indicated that cholelithiasis was significantly linked to an elevated risk in the incidence of BE (RR, 1.77; 95% CI, 1.37-2.29; p < 0.001) and cholecystectomy was a risk factor for GERD (RR, 1.37; 95%CI, 1.09-1.72; p = 0.008). We observed significant genetic associations between cholelithiasis and both GERD (OR, 1.06; 95% CI, 1.02-1.10; p < 0.001) and BE (OR, 1.21; 95% CI, 1.11-1.32; p < 0.001), and a correlation between cholecystectomy and both GERD (OR, 1.04; 95% CI, 1.02-1.06; p < 0.001) and BE (OR, 1.13; 95% CI, 1.06-1.19; p < 0.001). After adjusting for common risk factors, such as smoking, alcohol consumption, and BMI in multivariate analysis, the risk of GERD and BE still persisted. Conclusion: Our study revealed that both cholelithiasis and cholecystectomy elevate the risk of GERD and BE. However, there is no observed increase in the risk of EAC, despite GERD and BE being the primary pathophysiological pathways leading to EAC. Therefore, patients with cholelithiasis and cholecystectomy should be vigilant regarding esophageal symptoms; however, invasive EAC cytology may not be necessary.

Decoding physical principles of cell migration under controlled environment using microfluidics.

Living cells can perform incredible tasks that man-made micro/nano-sized robots have not yet been able to accomplish. One example is that white blood cells can sense and move to the site of pathogen attack within minutes. The robustness and precision of cellular functions have been perfected through billions of years of evolution. In this context, we ask the question whether cells follow a set of physical principles to sense, adapt, and migrate. Microfluidics has emerged as an enabling technology for recreating well-defined cellular environment for cell migration studies, and its ability to follow single cell dynamics allows for the results to be amenable for theoretical modeling. In this review, we focus on the development of microfluidic platforms for recreating cellular biophysical (e.g., mechanical stress) and biochemical (e.g., nutrients and cytokines) environments for cell migration studies in 3D. We summarize the basic principles that cells (including bacteria, algal, and mammalian cells) use to respond to chemical gradients learned from microfluidic systems. We also discuss about novel biological insights gained from studies of cell migration under biophysical cues and the need for further quantitative studies of cell function under well-controlled biophysical environments in the future.

Vonoprazan-Amoxicillin Dual Therapy With Different Amoxicillin Administration Regimens for Helicobacter pylori Treatment: A Randomized Controlled Trial.

BACKGROUND: The effect of preprandial or postprandial administration of amoxicillin on the efficacy of vonoprazan-amoxicillin dual therapy (VA-dual therapy) for Helicobacter pylori treatment has not been studied. It is also unclear whether amoxicillin dosing four times daily is more effective than three times daily. We aimed to investigate the effect of different amoxicillin administration regimens on the efficacy of VA-dual therapy. MATERIALS AND METHODS: H. pylori-infected subjects were randomly assigned to three groups in a 1:1:1 ratio to receive a 14-day dual therapy consisting of vonoprazan 20 mg twice daily + amoxicillin 1000 mg three times daily before meals (BM-TID) or 1000 mg three times daily after meals (AM-TID) or 750 mg four times daily after meals (AM-QID). H. pylori eradication rates, adverse events rates, compliance, and antibiotic resistance were compared. RESULTS: Between May 2021 to April 2023, 327 subjects were enrolled. The eradication rates of BM-TID, AM-TID, and AM-QID dual therapy were 88.1%, 89.9%, and 93.6% in intention-to-treat (ITT) analysis, 90.6%, 94.2%, and 99.0% in modified ITT (MITT) analysis, and 90.4%, 94.1%, and 99.0% in per-protocol (PP) analysis. Although there was non-inferiority between BM-TID and AM-TID, as well as between AM-TID and AM-QID, AM-QID was significantly more effective than BM-TID. There were no significant differences in adverse event rates, compliance, and antibiotic resistance among the three groups. CONCLUSIONS: Postprandial administration and the increased frequency of administration of amoxicillin may contribute to a better efficacy of VA-dual therapy, especially for rescue therapy. All VA-dual therapy in our study could achieve good efficacy for first-line treatment. TRIAL REGISTRATION: clinicaltrials.gov: NCT05901051.

Nanometer-resolution tracking of single cargo reveals dynein motor mechanisms.

Cytoplasmic dynein is essential for intracellular transport. Despite extensive in vitro characterizations, how the dynein motors transport vesicles by processive steps in live cells remains unclear. To dissect the molecular mechanisms of dynein, we develop optical probes that enable long-term single-particle tracking in live cells with high spatiotemporal resolution. We find that the number of active dynein motors transporting cargo switches stochastically between one and five dynein motors during long-range transport in neuronal axons. Our very bright optical probes allow the observation of individual molecular steps. Strikingly, these measurements reveal that the dwell times between steps are controlled by two temperature-dependent rate constants in which two ATP molecules are hydrolyzed sequentially during each dynein step. Thus, our observations uncover a previously unknown chemomechanical cycle of dynein-mediated cargo transport in living cells.

Direct Identification of O─O Bond Formation Through Three-Step Oxidation During Water Splitting by Operando Soft X-ray Absorption Spectroscopy.

Anionic redox allows the direct formation of O─O bonds from lattice oxygens and provides higher catalytic in the oxygen evolution reaction (OER) than does the conventional metal ion mechanism. While previous theories have predicted and experiments have suggested the possible O─O bond, it has not yet been directly observed in the OER process. In this study, operando soft X-ray absorption spectroscopy (sXAS) at the O K-edge and the operando Raman spectra is performed on layered double CoFe hydroxides (LDHs) after intercalation with [Cr(C2O4)3]3-, and revealed a three-step oxidation process, staring from Co2+ to Co3+, further to Co4+ (3d6L), and ultimately leading to the formation of O─O bonds and O2 evolution above a threshold voltage (1.4 V). In contrast, a gradual oxidation of Fe is observed in CoFe LDHs. The OER activity exhibits a significant enhancement, with the overpotential decreasing from 300 to 248 mV at 10 mA cm-2, following the intercalation of [Cr(C2O4)3]3- into CoFe LDHs, underscoring a crucial role of anionic redox in facilitating water splitting.

Numerical simulation and in vitro experimental study of the hemodynamic performance of vena cava filters with helical forms.

Inferior vena cava filter (IVCF) implantation is a common method of thrombus capture. By implanting a filter in the inferior vena cava (IVC), microemboli can be effectively blocked from entering the pulmonary circulation, thereby avoiding acute pulmonary embolism (PE). Inspired by the helical flow effect in the human arterial system, we propose a helical retrievable IVCF, which, due to the presence of a helical structure inducing a helical flow pattern of blood in the region near the IVCF, can effectively avoid the deposition of microemboli in the vicinity of the IVCF while promoting the cleavage of the captured thrombus clot. It also reduces the risk of IVCF dislodging and slipping in the vessel because its shape expands in the radial direction, allowing its distal end to fit closely to the IVC wall, and because its contact structure with the inner IVC wall is curved, increasing the contact area and reducing the risk of the vessel wall being punctured by the IVCF support structure. We used ANSYS 2023 software to conduct unidirectional fluid-structure coupling simulation of four different forms of IVCF, combined with microthrombus capture experiments in vitro, to explore the impact of these four forms of IVCF on blood flow patterns and to evaluate the risk of IVCF perforation and IVCF dislocation. It can be seen from the numerical simulation results that the helical structure does have the function of inducing blood flow to undergo helical flow dynamics, and the increase in wall shear stress (WSS) brought about by this function can improve the situation of thrombosis accumulation to a certain extent. Meanwhile, the placement of IVCF will change the flow state of blood flow and lead to the deformation of blood vessels. In in vitro experiments, we found that the density of the helical support rod is a key factor affecting the thrombus trapping efficiency, and in addition, the contact area between the IVCF and the vessel wall has a major influence on the risk of IVCF displacement.

Shared whole environmental etiology between Alzheimer's disease and age-related macular degeneration.

The comorbidity of Alzheimer's disease (AD) and age-related macular degeneration (AMD) has been established in clinical and genetic studies. There is growing interest in determining the shared environmental factors associated with both conditions. Recent advancements in record linkage techniques enable us to identify the contributing factors to AD and AMD from a wide range of variables. As such, we first constructed a knowledge graph based on the literature, which included all statistically significant risk factors for AD and AMD. An environment-wide association study (EWAS) was conducted to assess the contribution of various environmental factors to the comorbidity of AD and AMD based on the UK biobank. Based on the conditional Q-Q plots and Bayesian algorithm, several shared environmental factors were identified, which could be categorized into the domains of health condition, biological sample parameters, body index, and attendance availability. Finally, we generated a shared etiology landscape for AD and AMD by combining existing knowledge with our novel findings.

scPriorGraph: constructing biosemantic cell-cell graphs with prior gene set selection for cell type identification from scRNA-seq data.

Cell type identification is an indispensable analytical step in single-cell data analyses. To address the high noise stemming from gene expression data, existing computational methods often overlook the biologically meaningful relationships between genes, opting to reduce all genes to a unified data space. We assume that such relationships can aid in characterizing cell type features and improving cell type recognition accuracy. To this end, we introduce scPriorGraph, a dual-channel graph neural network that integrates multi-level gene biosemantics. Experimental results demonstrate that scPriorGraph effectively aggregates feature values of similar cells using high-quality graphs, achieving state-of-the-art performance in cell type identification.

The complete chloroplast genome of Blechnopsis orientalis (Linnaeus) C. Presl 1753 (Blechnaceae).

Blechnopsis orientalis (Linnaeus) C. Presl (1753) is a fern used both as food and medicine. It is found primarily in southern China and Southeast Asia, thriving in warm, humid shrublands or sparse forest. The total length of the chloroplast genome is 155,211 bp, including a large single-copy region (LSC, 81,877 bp), a small single-copy region (SSC, 21,500 bp), and two inverted repeat regions (IRs, 25,917 bp). The GC content is 41.3%. A total of 131 genes were annotated, including 88 protein-coding genes, eight rRNA genes, and 35 tRNA genes. The phylogenetic analysis using the maximum-likelihood method showed that B. orientalis and Oceaniopteris gibba were closely related. This study provides genomic resources for phylogenetic genetics and resource exploitation of B. orientalis.

Exploring bioactive compounds in chickpea and bean aquafaba: Insights from glycomics and peptidomics analyses.

The objective of this study was to identify bioactive oligosaccharides and peptides in the cooking water of chickpeas and common beans, known as aquafaba. The oligosaccharides stachyose, raffinose and verbascose were quantified by high-performance anion-exchange chromatography; 78 and 67 additional oligosaccharides were identified in chickpea and common bean aquafaba, respectively, by LC-MS/MS. Chickpea aquafaba uniquely harbored ciceritol and other methyl-inositol-containing oligosaccharides. In prebiotic growth assays, chickpea aquafaba oligosaccharides were differentially utilized, promoting growth of Limosilactobacillus reuteri DSM 20016 and Bifidobacterium longum subsp. infantis ATCC 15697, but not Lacticaseibacillus rhamnosus GG. Dimethyl labeling, along with LC-MS/MS, effectively differentiated α- and γ-glutamyl peptides, revealing the presence of several γ-glutamyl peptides known to possess kokumi and anti-inflammatory activities, including γ-Glu-Phe and γ-Glu-Tyr in chickpeas aquafaba and γ-Glu-S-methyl-Cys and γ-Glu-Leu in beans aquafaba. This work uncovered unique bioactive peptides and oligosaccharides in aquafaba, helping promote its valorization, food system sustainability, and future health-promoting claims.

Abnormal Gas Generation during First Discharge Process of Sodium Ion Battery.

In recent years, sodium-ion batteries (SIBs) have attracted a lot of attention and are considered an ideal alternative to lithium-ion batteries (LIBs). The hard carbon (HC) anode in SIBs presents a unique challenge for studying the formation process of the solid electrolyte interphase (SEI) during initial cycling, owing to its distinctive porous structure. This study employs a combination of ultrasonic scanning techniques and differential electrochemical mass spectrometry to conduct an in-depth analysis of the two-dimensional distribution and composition of gases during the formation process. The findings reveal distinct gas evolution behaviors in SIBs compared to LIBs during formation. Notably, significant gas evolution is observed during the discharge phase of the formation cycle in SIBs, with higher discharge rates leading to increased gas evolution rates. This phenomenon is likely attributed to the adsorption of CO2 gas by the abundant pores in HC, followed by desorption during discharge. Furthermore, the study demonstrates that the addition of 5A molecular sieves, which competitively adsorb gases, effectively reduces gas adsorption on the anode during formation, thereby significantly enhancing battery performance. This research elucidates the gas adsorption and desorption behavior at the battery interface, providing new insights into the SEI formation process in SIBs.

Label-free fluorescence turn-on detection of alkaline phosphatase activity using the calcein-Ce3+ complex.

This study introduces an innovative approach for the real-time and efficient detection of alkaline phosphatase (ALP) activity, using a calcein fluorescence probe and leveraging the static quenching properties of calcein fluorescence by Ce3+ metal ions. In this method, calcein serves as the signal element, with its fluorescence effectively preserved through energy transfer or charge transfer when coordinated with Ce3+. Conversely, ALP catalyzes the phosphopeptide substrate to generate a substantial amount of Pi, preventing calcein fluorescence quenching due to the higher affinity between Pi and Ce3+ compared with that between calcein and Ce3+. The fluorescence intensity ratio (F-F0/F0) exhibited excellent linearity, facilitating sensitive ALP detection. The proposed ALP detection method covers a range from 0 to 1.4 mU/mL (R2 = 0.9942), with the limit of detection at 0.069 mU/mL (S/N = 3). Additionally, this method was successfully applied for detecting ALP in serum samples and studying its inhibitors. This research introduces a novel clinical diagnosis approach for ALP sensing while broadening the potential applications of calcein.

The effect of low-dose ketamine on electroencephalographic spectrum during gynecology surgery under desflurane anesthesia.

BACKGROUND: The perioperative administration of low-dose ketamine has shown potential in postoperative pain management, opioid sparing, and enhancing pain control. This study aimed to investigate the impact of low-dose ketamine on processed electroencephalography (EEG) signals during anesthesia. METHODS: Forty patients with American Society of Anesthesiologists physical status I-II undergoing elective gynecological surgery were enrolled. EEG monitoring was initiated upon induction of anesthesia. Anesthesia was maintained with desflurane and alfentanil immediately after induction. Fifteen minutes after induction, the ketamine group received a 0.3 mg/kg bolus followed by 0.05 mg/kg/h infusion until completion of surgery. The control group received equivalent saline. Postoperative assessments included pain score (visual analog scale), morphine usage, and quality of recovery. RESULTS: The ketamine group had significantly higher Patient State Index (PSi) values at 10, 20, and 30 minutes after ketamine administration compared to the controls. Ketamine administration led to significant alterations in EEG patterns, including reduced relative power in delta and theta frequency bands, and increased relative power in beta and gamma frequency bands at 10 minutes post-administration. Relative power in the alpha frequency band significantly decreased at 10, 20, and 30 minutes post-administration. However, there were no differences in intraoperative alfentanil consumption, postoperative morphine usage, and pain scores between the two groups. CONCLUSION: Low-dose ketamine administration during desflurane anesthesia led to notable changes in EEG patterns and PSi values. These findings provide valuable insights into the impact of ketamine on brain activity, and offer essential information for clinical anesthesiologists.

Correlating Stroke Risk with Non-Invasive Tracing of Brain Blood Dynamic via a Portable Speckle Contrast Optical Spectroscopy Laser Device.

Stroke poses a significant global health threat, with millions affected annually, leading to substantial morbidity and mortality. Current stroke risk assessment for the general population relies on markers such as demographics, blood tests, and comorbidities. A minimally invasive, clinically scalable, and cost-effective way to directly measure cerebral blood flow presents an opportunity. This opportunity has potential to positively impact effective stroke risk assessment prevention and intervention. Physiological changes in the cerebral vascular system, particularly in response to carbon dioxide level changes and oxygen deprivation, such as during breath-holding, can offer insights into stroke risk assessment. However, existing methods for measuring cerebral perfusion reserve, such as blood flow and blood volume changes, are limited by either invasiveness or impracticality. Here, we propose a transcranial approach using speckle contrast optical spectroscopy (SCOS) to non-invasively monitor regional changes in brain blood flow and volume during breath-holding. Our study, conducted on 50 individuals classified into two groups (low-risk and higher-risk for stroke), shows significant differences in blood dynamic changes during breath-holding between the two groups, providing physiological insights for stroke risk assessment using a non-invasive quantification paradigm. Given its cost-effectiveness, scalability, portability, and simplicity, this laser-centric tool has significant potential in enhancing the pre-screening of stroke and mitigating strokes in the general population through early diagnosis and intervention.

Association Between Cognitive Function and Risk of Chronic Kidney Disease: A Longitudinal Cohort and Mendelian Randomization Study.

OBJECTIVE: To investigate the causal dose-response association between cognitive function and the risk of chronic kidney disease (CKD) by a longitudinal cohort and mendelian randomization study. METHODS: The longitudinal cohort study included 396,600 participants without prior dementia and CKD from the UK Biobank. Cognitive function (including prospective memory, numeric memory, visuospatial memory, reaction time, and reasoning ability) was assessed by computerized touchscreen tests. Global cognitive function was defined as a composite score of those specific cognitive domains. A 2-stage mendelian randomization analysis was conducted with 12,979 cases of CKD and 379,424 controls. Genetically predicted global cognitive function was instrumented with 91 confirmed genome-wide significant variants. The study outcome was new-onset CKD. The study was conducted from March 13, 2006, to September 30, 2021. RESULTS: During a median follow-up of 12.5 years, new-onset CKD developed in 13,090 participants. Per 1 SD score increments in reaction time (adjusted hazard ratio [HR], 0.97; 95% CI, 0.95 to 0.99), reasoning ability (adjusted HR, 0.91; 95% CI, 0.88 to 0.94), and global cognitive function (adjusted HR, 0.96; 95% CI, 0.95 to 0.98) were associated with a significantly lower risk of new-onset CKD. Compared with an incorrect answer in the prospective memory test, a correct answer was associated with a lower risk of new-onset CKD (adjusted HR, 0.82; 95% CI, 0.76 to 0.88). Mendelian randomization analyses found that per 1 SD score increments in genetically predicted global cognitive function resulted in a significantly (7%; 95% CI, 2% to 12%) lower risk of new-onset CKD. CONCLUSION: A better cognitive function is causally associated with a lower risk of CKD in participants without prior dementia.

Activation of the ROCK/MYLK Pathway Affects Complex Molecular and Morphological Changes of the Trabecular Meshwork Associated With Ocular Hypertension.

Purpose: The Rho-associated protein kinase and myosin light chain kinase (ROCK/MYLK) pathway undeniably plays a pivotal role in the pathophysiology of primary open-angle glaucoma (POAG). In our study, we utilized both ocular hypertension (OHT) rabbit models and clinical investigations to gain invaluable insights that propel the development of novel treatments targeting proteins and genes associated with the trabecular meshwork (TM), thereby offering promising avenues for the management of POAG. Methods: Following microbead injections into the anterior chamber of the ocular cavity of rabbits, we observed elevated histiocyte numbers and immune scores for MYLK-4/ pMLC-2, alongside a reduction in the void space within the TM. Notably, treatment was performed with 0.1% ITRI-E-(S)-4046, a compound with dual kinase inhibitor (highly specific inhibitor of ROCK1/2 and MYLK4), significantly reduced intraocular pressure (IOP; P < 0.05) and expanded the void space within the TM (P < 0.0001) compared with OHT rabbits. In clinical investigations, we utilized whole transcriptome sequencing to analyze gene expression specifically related to the TM, obtained from patients (5 early-onset and 5 late-onset) undergoing trabeculectomy. Results: Our findings revealed 103 differential expression genes (DEGs) out of 265 molecules associated with the Rho family GTPase pathway, exhibiting a P value of 1.25E-10 and a z-score of -2.524. These results underscore significant differences between the early-onset and late-onset POAG and highlight the involvement of the ROCK/MYLK pathway. Conclusions: These findings underscore the critical involvement of the ROCK/MYLK pathway in both OHT-related and different onsets of POAG, providing valuable insights into the TM-related molecular mechanisms underlying the disease.

The Prognosis of Patients with Myocardial Infarction after Light Therapy: A Preliminary Study.

BACKGROUND: Patients with myocardial infarction (MI) can have disturbed sleep, but little is known about the efficacy of light therapy on sleep and prognosis of patients with MI. We conducted a randomized controlled study to investigate its efficacy. MATERIAL AND METHODS: This preliminary study included 34 patients with MI. They were randomized into the blue light and the white light groups during their stay in intensive care unit. 17 age and gender matched healthy controls were also enrolled. Actigraphy was used to evaluate objective sleep since enrollment. Delirium scales were used to screen delirium. Lab work-up including vitamin D level was performed at the baseline and discharge. We used Mann-Whitney U test or Wilcoxon signed-rank test to compare the difference between the MI group and the healthy control group, and the group difference after receiving light therapy. RESULTS: Patients with MI had significantly lower vitamin D level than healthy controls (p<0.001). They also had significantly poorer sleep, as indicated by actigraphy parameters including sleep onset latency (p=0.01), sleep efficiency (p=0.002), wake after sleep onset (p<0.001) and awake times (p=0.002). No significant group difference was found by actigraphy after light therapy except a non-significant higher relative amplitude of the blue light group (p=0.061). Besides, vitamin D level of the blue light group increased significantly (p1=0.047, p2=0.045). CONCLUSIONS: Patients with MI had poorer sleep, highlighting the needs to develop interventions. Significantly increased vitamin D level and a non-significant better rest-active rhythm after light therapy suggest its potential with sleep and prognosis which warrants further investigation.

LC-MS/MS-based targeted carotenoid and anthocyanidin metabolic profile of Auricularia cornea under blue and red LED light exposure.

Light exposure significantly impacted the coloration and metabolism of Auricularia cornea, although the underlying mechanisms remain unclear. This study aimed to test the apparent color and pigment metabolic profiles of A. cornea in response to red (λp = 630 nm) and blue (λp = 463 nm) visible light exposure. Colorimeter analysis showed that fruiting bodies appeared bright-white under red-light and deeper-red under blue-light, both with a yellow tinge. On the 40th day of light-exposure, bodies were collected for metabolite detection. A total of 481 metabolites were targeted analysis, resulting in 18 carotenoids and 11 anthocyanins. Under red and blue light exposure, the total carotenoids levels were 1.1652 µg/g and 1.1576 µg/g, the total anthocyanins levels were 0.0799 µg/g and 0.1286 µg/g, respectively. Four differential metabolites and three putative gene linked to the visual coloration of A. cornea were identified. This pioneering study provides new insights into the role of light in regulating A. cornea pigmentation and metabolic profile.

Photonic deep residual time-delay reservoir computing.

Time-delay reservoir computing (TDRC) represents a simplified variant of recurrent neural networks, employing a nonlinear node with a feedback mechanism to construct virtual nodes. The capabilities of TDRC can be enhanced by transitioning to a deep architecture. In this work, we propose a novel photonic deep residual TDRC (DR-TDRC) with augmented capabilities. The additional time delay added to the residual structure enables DR-TDRC superior to traditional deep structures across various benchmark tasks, especially in memory capability and almost an order of magnitude improvement in nonlinear channel equalization. Additionally, a specifically designed clipping algorithm is utilized to counteract the damage of redundant layers in deep structures, enabling the extension of the deep TDRC to dozens rather than just a few layers, with higher performance. We experimentally demonstrate the proof-of-concept with a 4-layer DR-TDRC containing 960 interrelated neurons (240 neurons per layer), based on four injection-locked distributed feedback lasers. We confirm the potential for scalable deep RC with elevated performance. Our results provide a feasible approach for expanding deep photonic computing to satisfy the boosting demand for artificial intelligence.