Physiological Foundations Research Articles

Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach

Bipolar disorder (BD) is a neuropsychiatric disorder characterized by severe disturbance and fluctuation in mood. Dynamic functional connectivity (dFC) has the potential to more accurately capture the evolving processes of emotion and cognition in BD. Nevertheless, prior investigations of dFC typically centered on larger time scales, limiting the sensitivity to transient changes. This study employed hidden Markov model (HMM) analysis to delve deeper into the moment-to-moment temporal patterns of brain activity in BD. We utilized resting-state functional magnetic resonance imaging (rs-fMRI) data from 43 BD patients and 51 controls to evaluate the altered dynamic spatiotemporal architecture of the whole-brain network and identify unique activation patterns in BD. Additionally, we investigated the relationship between altered brain dynamics and structural disruption through the ridge regression (RR) algorithm. The results demonstrated that BD spent less time in a hyperconnected state with higher network efficiency and lower segregation. Conversely, BD spent more time in anticorrelated states featuring overall negative correlations, particularly among pairs of default mode network (DMN) and sensorimotor network (SMN), DMN and insular-opercular ventral attention networks (ION), subcortical network (SCN) and SMN, as well as SCN and ION. Interestingly, the hypoactivation of the cognitive control network in BD may be associated with the structural disruption primarily situated in the frontal and parietal lobes. This study investigated the dynamic mechanisms of brain network dysfunction in BD and offered fresh perspectives for exploring the physiological foundation of altered brain dynamics.

Harnessing Simple Animal Models to Decode Sleep Mysteries.

Whether it involves human subjects or non-human animals, basic, translational, or clinical sleep research poses significant ethical challenges for researchers and ethical committees alike. Sleep research greatly benefits from using diverse animal models, each offering unique insights into sleep control mechanisms. The fruit fly (Drosophila melanogaster) is a superior genetic model due to its quick generation period, large progenies, and rich genetic tools. Its well-characterized genome and ability to respond to hypnotics and stimulants make it an effective tool for studying sleep genetics and physiological foundations. The nematode (Caenorhabditis elegans) has a simpler neural organization and transparent body, allowing researchers to explore molecular underpinnings of sleep control. Vertebrate models, like zebrafish (Danio rerio), provide insights into circadian rhythm regulation, memory consolidation, and drug effects on sleep. Invertebrate models, like California sea hare (Aplysia californica) and Upside-down jellyfish (Cassiopea xamachana), have simpler nervous systems and behave similarly to humans, allowing for the examination of sleep principles without logistical and ethical challenges. Combining vertebrate and invertebrate animal models offers a comprehensive approach to studying sleep, improving our understanding of sleep regulation and potentially leading to new drug discovery processes for sleep disorders and related illnesses.

Structural projections to the nucleus accumbens link to impulsive components of human risk preference

Abstract Functional responses in the Nucleus Accumbens (NAcc) to risk- and reward-related cues can predict real-life risk-taking behavior. Since NAcc activity depends on neurotransmission from connected brain regions, projections to the NAcc may also predict risk preference. To quantify risk preference, we employed latent variables previously derived in a comprehensive, independent study examining the psychometric structure of risk preference, which yielded a general risk preference factor as well as several specific factors, including a factor capturing impulsivity. Informed by previous work, we preregistered a set of hypotheses concerning the association between different risk preference factors and fractional anisotropy (or FA, which is sensitive to fiber coherence) for projections to the NAcc from Medial PreFrontal Cortex (MPFC), Anterior Insula, Amygdala, and an inferior tract from the Ventral Tegmental Area (iVTA). We tested our hypotheses in a community sample of 125 healthy human adults. As predicted, bilateral iVTA-NAcc tract FA showed a negative correlation with a psychometric factor that captured impulsivity, generalizing findings from prior research. Also as predicted, FA of the bilateral Amygdala-NAcc tract was positively associated with the impulsivity factor. Contrary to predictions, however, we observed no robust associations between the general risk preference factor and FA for projections from bilateral MPFC, right Anterior Insula, or bilateral Amygdala to the NAcc. Notably, exploratory unilateral analyses revealed an association between the general risk preference factor and left MPFC-NAcc tract FA. Taken together, these findings suggest that impulse control as a facet of risk preference maps onto specific neurobiological targets, while more general facets of risk preference may be supported by structural properties of lateral fronto-striatal projections. Although the exact associated functional mechanisms remain to be fully clarified, conNAcctomic approaches like the one presented here could pave the way for further research into the physiological foundations of risk preference and related constructs.

Thermal physiological characteristics of the Xizang people in asymmetrical dressing exposures on the plateau

The Xizang people, living in the “Third Pole of the World,” have long-formed asymmetrical dressing habits that pose unique challenges to their physiological mechanisms. This study examined the physiological parameters of the Xizang people under symmetrical and various asymmetrical dressing angles to analyze the influence of these dressing styles on their thermal responses. Partial correlation analysis was used to further clarify the physiological thermal assessment indicator of the Xizang people. The results showed that, compared to symmetrical dressing, the Xizang people exhibited higher blood perfusion index and core temperature under asymmetrical dressing. In cold environments, those with symmetrical dressing had higher mean arterial pressure, heart rate, and relative activity ratio of sympathetic to parasympathetic nervous system, indicating dominant sympathetic nerve activity. At an ambient temperature of 15 °C, the Xizang people demonstrated a mean skin temperature difference of 2.6 °C and a right wrist temperature difference of 4.5 °C between symmetrical and the asymmetrical dressing angle with 50° Skin temperature was identified as the physiological thermal assessment indicator for the Xizang people considering asymmetrical dressing styles. This study provided a physiological foundation for the accurate design of plateau built environments suitable for the Xizang people.

Terrestrial photosynthesis inferred from plant carbonyl sulfide uptake.

Terrestrial photosynthesis, or gross primary production (GPP), is the largest carbon flux in the biosphere, but its global magnitude and spatiotemporal dynamics remain uncertain1. The global annual mean GPP is historically thought to be around 120 PgC yr-1 (refs. 2-6), which is about 30-50 PgC yr-1 lower than GPP inferred from the oxygen-18 (18O) isotope7 and soil respiration8. This disparity is a source of uncertainty in predicting climate-carbon cycle feedbacks9,10. Here we infer GPP from carbonyl sulfide, an innovative tracer for CO2 diffusion from ambient air to leaf chloroplasts through stomata and mesophyll layers. We demonstrate that explicitly representing mesophyll diffusion is important for accurately quantifying the spatiotemporal dynamics of carbonyl sulfide uptake by plants. From the estimate of carbonyl sulfide uptake by plants, we infer a global contemporary GPP of 157 (±8.5) PgC yr-1, which is consistent with estimates from 18O (150-175 PgC yr-1) and soil respiration ( PgC yr-1), but with an improved confidence level. Our global GPP is higher than satellite optical observation-driven estimates (120-140 PgC yr-1) that are used for Earth system model benchmarking. This difference predominantly occurs in the pan-tropical rainforests and is corroborated by ground measurements11, suggesting a more productive tropics than satellite-based GPP products indicated. As GPP is a primary determinant of terrestrial carbon sinks and may shape climate trajectories9,10, our findings lay a physiological foundation on which the understanding and prediction of carbon-climate feedbacks can be advanced.

Research on the association mechanism and evaluation model between EMG data and product aesthetic quality in product aesthetics evaluation

Product aesthetics play a crucial role in user satisfaction and product success. However, the feasibility and accuracy of using electromyographic (EMG) data for product aesthetic quality evaluation are unknown. Here, we analysed the correlations and associations between EMG physiological data and product aesthetic quality of 60 subjects by SPSS software and designed a product aesthetic quality evaluation model based on the multivariate logistic (M) algorithm to answer this question. It was found that the EMG data of the zygomatic and buccal muscles did not have significant correlations with product aesthetic quality, whereas five indicators in the EMG data of the frowning muscles had significant correlations relationships with product aesthetic quality. We also found that the overall accuracy of the product aesthetic quality evaluation model was 72.3%, which was able to better distinguish product aesthetic quality. This study demonstrates that product aesthetic quality can be evaluated using EMG data and that the product aesthetic quality evaluation model can provide an objective and accurate decision-making reference to help engineers and designers in product aesthetic quality evaluation and product design. This study lays the foundation for the future integrated multimodal physiology to conduct aesthetics quality evaluations with a high degree of accuracy.

Heat-stress memory enhances the acclimation of a migratory insect pest to global warming.

In the face of rising global temperatures, the mechanisms behind an organism's ability to acclimate to heat stress remain enigmatic. The rice leaf folder, Cnaphalocrocis medinalis, traditionally viewed as temperature-sensitive, paradoxically exhibits robust larval acclimation to heat stress. This study used the heat-acclimated strain HA39, developed through multigenerational exposure to 39°C during the larval stage, and the unacclimated strain HA27 reared at 27°C to unravel the transgenerational effects of heat acclimation and its regulatory mechanisms. Heat acclimation for larvae incurred a fitness cost in pupae when exposed to high temperature, yet a significant transgenerational effect surfaced, revealing heightened fitness benefit in pupae from HA39, even without additional heat exposure during larval recovery at 27°C. This transgenerational effect exhibited a short-term memory, diminishing after two recovery generations. Moreover, the effect correlated with increased superoxide dismutase (SOD) enzyme activity and expression levels of oxidoreductase genes, representing physiological and molecular foundations of heat acclimation. Heat-acclimated larvae displayed elevated DNA methylation levels, while pupae from HA39, in recovery generations, exhibited decreased methylation indicated by the upregulation of a demethylase gene and downregulation of two methyltransferase genes at high temperatures. In summary, heat acclimation induces DNA methylation, orchestrating heat-stress memory and influencing the expression levels of oxidoreductase genes and SOD activity. Heat-stress memory enhances the acclimation of the migratory insect pest to global warming.

What's New in Ocular Drug Delivery: Advances in Suprachoroidal Injection since 2023.

Despite significant advancements in ocular drug delivery, challenges persist in treating posterior segment diseases like macular edema (ME) and age-related macular degeneration (AMD). Suprachoroidal (SC) injections are a promising new method for targeted drug delivery to the posterior segment of the eye, providing direct access to the choroid and retina while minimizing systemic exposure and side effects. This review examines the anatomical and physiological foundations of the SC space; evaluates delivery devices such as microcatheters, hypodermic needles, and microneedles; and discusses pharmacokinetic principles. Additionally, advancements in gene delivery through SC injections are explored, emphasizing their potential to transform ocular disease management. This review also highlights clinical applications in treating macular edema, diabetic macular edema, age-related macular degeneration, choroidal melanoma, and glaucoma. Overall, SC injections are emerging as a promising novel route for administering ophthalmic treatments, with high bioavailability, reduced systemic exposure, and favorable safety profiles. Key therapeutic agents such as triamcinolone acetonide, dexamethasone, AAV-based gene therapy, and axitinib have shown promise. The field of suprachoroidal injection is progressing rapidly, and this review article, while attempting to encapsulate most of the published preclinical and clinical studies, mainly focuses on those that are published within 2023 and 2024.

Science of left ventricular unloading.

The concept of left ventricular unloading has its foundation in heart physiology. In fact, the left ventricular mechanics and energetics represent the cornerstone of this approach. The novel sophisticated therapies for acute heart failure, particularly mechanical circulatory supports, strongly impact on the mechanical functioning and energy consuption of the heart, ultimately affecting left ventricle loading. Notably, extracorporeal circulatory life support which is implemented for life-threatening conditions, may even overload the left heart, requiring additional unloading strategies. As a consequence, the understanding of ventricular overload, and the associated potential unloading strategies, founds its utility in several aspects of day-by-day clinical practice. Emerging clinical and pre-clinical research on left ventricular unloading and its benefits in heart failure and recovery has been conducted, providing meaningful insights for therapeutical interventions. Here, we review the current knowledge on left ventricular unloading, from physiology and molecular biology to its application in heart failure and recovery.

Impact of a 12-wk physical conditioning program on the aerobic capacity of aviation cadets.

Flight cadets need to have good physical fitness to cope with the challenges of flying missions. The continuous development of science and technology has led to the constant upgrading of fighter jets and the improvement of their performance, which has resulted in new and higher requirements for the physical fitness of flight personnel. The traditional physical training mode, method, and assessment have been used for many years and do not meet current fitness needs. To investigate the impact of a 12-wk comprehensive anti-G fitness training program on the aerobic capacity of aviation cadets and to evaluate its effectiveness. Fifty-five cadets were randomly assigned to control and experimental groups using a randomized, single-blind design. The control group maintained their existing training regimen, while the experimental group participated in a 12-wk comprehensive training intervention. The training program comprised strength training twice per week, high-intensity interval training three times per week, and supplemental nutritional and psychological support. Maximal oxygen uptake (VO2max), lower limb strength, and hemoglobin levels were measured at baseline, at 6 wk and 12 wk post-intervention. Repeated measures analysis of variance revealed significant differences of both VO2max and relative VO2 in both groups across time points (P < 0.05). However, no significant time-group interaction was observed (P > 0.05). Paired t-tests comparing baseline and 12-wk results showed that VO2max and relative VO2 were significantly higher in the experimental group than the control group (P < 0.05). This suggests that the training program effectively enhanced the aerobic capacity of the experimental group. Key indicators of aerobic capacity, bilateral lower limb strength and hemoglobin levels, were also significantly different over time and between groups (P < 0.05). No significant differences were noted in heart-rate metrics (P > 0.05). A 12-wk comprehensive anti-G fitness training program significantly improved the aerobic capacity of aviation cadets, thereby enhancing their overall capacity and laying a physiological foundation for enduring high-G flights.

Improving crop productivity by optimizing straw returning patterns to delay senescence of wheat leaves

Early senescence in the conventional pattern of wheat production is widespread, leading to decline in potential for increased and stabilized yield. Straw returning could effectively improve soil quality and extend the growth period of wheat. However, the response mechanism of straw returning in delaying leaves senescence and increasing crop productivity by regulating the internal physiological and biochemical processes of leaves is not clear. A field experiment was conducted in northwest China in 2013 (the data used in the text from 2021–2023) with four straw returning patterns: no tillage with straw mulching (NTSM), no tillage with straw standing (NTSS), conventional tillage with straw returning (CTS), and conventional tillage with straw removing (CT, the control). The antioxidant enzyme activities, cellular osmotic contents, endogenous hormones contents, stay-green capability of wheat leaves, photosynthetic source, and crop yield were investigated and analyzed. We found that no tillage with straw mulching (NTSM and NTSS) could effectively enhance the antioxidant and cell osmoregulation capabilities of wheat leaves during the grain filling process. Compared to CT, the SOD activity of NTSM and NTSS increased by 24.9–28.2 % and 18.6–20.4 %, respectively. Soluble protein content increased by 37.3–43.2 % and 25.2–57.1 %, and proline content increased by 37.3–78.4 % and 26.5–31.4 %. However, malondialdehyde content decreased by 20.3–21.4 % and 19.2–23.2 %. It was evident that the NTSM treatment provided a solid physiological foundation for delaying leaves senescence. NTSM could also help to maintain the homeostasis of endogenous hormones in wheat leaves during the grain filling period. Compared to CT, the contents of zeatin, salicylic acid, and jasmonic acid of NTSM increased by 23.3–27.2 %, 18.5–22.0 %, and 15.2–15.3 %, while abscisic acid content of NTSM decreased by 9.4–10.2 %. Based on physiological changes within the leaves, NTSM and NTSS reduced stay-green of leaves before 45 d post-emergence by 20.6–20.9 % and 17.5–17.8 % compared to CT. After 45 d post-emergence, NTSM and NTSS increased stay-green of leaves by 21.9–23.0 % and 17.0–19.1 % over CT. Thus, the grain yield of NTSM was 15.0–22.2 % and 9.0–11.3 % higher than that with CT and CTS, primarily due to the synchronous increase in ear number and thousand grain weight. Therefore, no tillage with straw mulching promoted the mobilization of antioxidant and cellular osmoregulatory responses, optimized endogenous hormones signaling, and maintained higher photosynthesis source and stay-green during the grain filling stage, thus delaying leaves senescence and increasing crop productivity in arid irrigated areas.

CLASSIFICATION OF TANAFFUS (RESPIRATION) WITH SPECIAL REFERENCE TO UNANI MEDICINE: A REVIEW

Breathing or respiration has been essential in human life since ancient times. Philosophers and physicians of ancient times such as Hippocrates, Galen, and others had already written about breathing in literature. These antiquated viewpoints established the foundation for contemporary respiratory physiology and medicine. The Hippocratic literature established the importance of breath in maintaining the body's humour balance, whereas Galen elaborates on the anatomical and functional elements of respiration. Literature related to respiration is surveyed from various Unani classical books and their translations, commentaries, previous dissertations, journals, proceedings, etc. Hippocrates and Ibne Sina mentioned ten and seventeen types of respiration respectively. Ibne Sina also explained five special types of respirations. This research paper aims to explore and analyse the understanding and significance of respiration in the Unani system of medicine. And also provides a comprehensive overview of how ancient philosophers understood respiration.

The application of exercise physiology theory in freestyle swimming instruction

The theory of exercise physiology serves the practical application of sports training, offering a physiological foundation for freestyle swimming instruction in areas such as movement, breathing, and circulation. It highlights the significant role of core strength in the teaching of freestyle swimming. The theory of exercise physiology not only aids students in deeply experiencing and understanding freestyle swimming techniques but also helps to prevent sports injuries and maintain the effectiveness and safety of exercise, thereby achieving the goals of physical fitness, self-confidence enhancement, and improvement in sports proficiency and performance.

Publication guidelines for human heart rate and heart rate variability studies in psychophysiology-Part 1: Physiological underpinnings and foundations of measurement.

This Committee Report provides methodological, interpretive, and reporting guidance for researchers who use measures of heart rate (HR) and heart rate variability (HRV) in psychophysiological research. We provide brief summaries of best practices in measuring HR and HRV via electrocardiographic and photoplethysmographic signals in laboratory, field (ambulatory), and brain-imaging contexts to address research questions incorporating measures of HR and HRV. The Report emphasizes evidence for the strengths and weaknesses of different recording and derivation methods for measures of HR and HRV. Along with this guidance, the Report reviews what is known about the origin of the heartbeat and its neural control, including factors that produce and influence HRV metrics. The Report concludes with checklists to guide authors in study design and analysis considerations, as well as guidance on the reporting of key methodological details and characteristics of the samples under study. It is expected that rigorous and transparent recording and reporting of HR and HRV measures will strengthen inferences across the many applications of these metrics in psychophysiology. The prior Committee Reports on HR and HRV are several decades old. Since their appearance, technologies for human cardiac and vascular monitoring in laboratory and daily life (i.e., ambulatory) contexts have greatly expanded. This Committee Report was prepared for the Society for Psychophysiological Research to provide updated methodological and interpretive guidance, as well as to summarize best practices for reporting HR and HRV studies in humans.

Capturing woody aboveground biomass historical change and potential under climate change using Landsat time-series for afforestation in dryland of China

Capturing long-term dynamics and the potential under climate change of woody aboveground biomass (AGB) is imperative for calculating and raising carbon sequestration of afforestation in dryland. It is always been a great challenge to accurately capture AGB dynamics of sparse woody vegetation mixed with grassland using only Landsat time-series, resulting in changing trajectory of woody AGB estimates cannot accurately reflect woody vegetation growth regularity in dryland. In this study, surface reflectance (SR) sensitive to woody AGB was firstly selected and interannual time-series of composited SR was smoothed using S-G filter for each pixel, and then optimal machine learning algorithm was selected to estimate woody AGB time-series. Pixels that have reached AGB potential were detected based on the AGB changing trajectory, and the potential was spatial-temporal extended using random forest model combining environmental variables under current climate condition and CMIP6 climate models. Results show that: 1) minimum value composite based on NIRv during Jul.-Sep. is more capable of explaining woody AGB variation in dryland (R = 0.87, p < 0.01), and Random Forest (RF) model has the best performance in estimating woody AGB (R2 = 0.75, RMSE = 4.74 t·ha−1) among sis commonly used machine learning models. 2) Annual woody AGB estimates can be perfectly fitted with a logistic growth curve (R2 = 0.97, p < 0.001) indicating explicit growth regularity of woody vegetation, which provides physiological foundation for determining woody AGB potential. 3) Woody AGB potential can be accurately simulated by RF combining environmental variables (R2 = 0.95, RMSE = 2.89 t·ha−1), and current woody AGB still has a potential of small increase, whereas the overall losses of woody AGB potential were observed in 2030, 2040 and 2050 under CMIP6 SSP-RCP scenarios.

Predictive Modeling of Heart Rate Dynamics based on Physical Characteristics and Exercise Parameters: A Machine Learning Approach

To accurately forecast heart rate changes during exercise, which is essential for customized health monitoring and improving training regimens, it is necessary to comprehend both the physiological foundations and the technical capacities for data processing. This research utilizes Machine Learning (ML) methodologies to predict heart rate reactions based on physical characteristics and activity variables. Our research focuses on the health and sports aspects of our results, using a comprehensive dataset that includes a wide range of activity types and ambient circumstances across 12,000 sets. We establish a connection between the ability of models such as Linear Regression (LR) and Extreme Gradient Boosting (XGB) to predict outcomes and their practical use in exercise management and optimizing athlete performance. These models accurately forecast variations in heart rate and also provide insights into the cardiovascular demands of various physical activities. Standard metrics measure the effectiveness of these models. The Linear Regression (LR) model achieved a Mean Absolute Error (MAE) of 0.419, a Mean Squared Error (MSE) of 0.294, a Root Mean Squared Error (RMSE) of 0.543, and an R-Squared value of 0.997. On the other hand, the Extreme Gradient Boosting (XGB) Regressor model achieved a Mean Absolute Error (MAE) of 0.421, a Mean Squared Error (MSE) of 0.335, a Root Mean Squared Error (RMSE) of 0.578, and an R-Squared value of 0.996. These metrics demonstrate the usefulness of these models in real-world scenarios. Our study's findings demonstrate that the combination of physiological data and powerful machine learning models may improve an individual's comprehension of fitness levels and the requirements for adaptive training. This study not only adds to the field of computational physiology, but it also aids in the creation of adaptive, real-time therapies for improving health and performance.

THE POLITICAL AND ECONOMIC FOUNDATIONS OF THE RADICAL CHANGE IN THE DIPLOMATIC RELATIONS OF THE RUSSIAN EMPIRE WITH THE REGIONS OF CENTRAL ASIA IN THE 60S OF THE XIX CENTURY

This article will reveal the physiological and economic foundations of the radical turn of the Russian Empire in relations with Central Asia, which took place precisely from the middle of the XIX century. In particular, it has been shown that there are also several external influences in combination with domestic needs such as owning a market with the purchasing power of industrial products that are developing in the country, meeting the demand for cotton raw materials that have arisen, expanding their territory at the expense of southern borders. In this regard, these include the defeat in the Crimean War, the inability to compete with the Western European powers, the need to have its own influence in Central Asia in order to gain an advantage over the Balkan issue.

A Computationally Efficient Method for Parameter Sensitivity Analysis of Microbially Explicit Biogeochemical Models Accounting for Long‐Term Behavior

AbstractMicrobial ecological models become increasingly complex owing to the incorporation of many parameters and multiple biotic and abiotic processes. However, little attention has been paid to the variations in the parameter sensitivity during long‐term versus short‐term simulations. Here, we developed a Multi‐Objective Parameter Sensitivity Analysis (MOPSA) method to efficiently identify the important parameters in complex microbial ecological models with multiple response variables of interest in terms of short‐ and long‐term model simulations. We found that MOPSA was more computationally efficient for complex microbial ecological models than Sobol's method because of MOPSA's reliability and low computational sample size. In addition, we address the increased significance of microbial physiology in mediating long‐term than short‐term soil C‐N cycling, indicating that experiment‐model integration practices should examine model behaviors beyond the conventional short‐term experimental period. The outcomes of this study provide an efficient global sensitivity analysis method for parameterization and the scientific foundation for microbial physiology in mediating long‐term microbial ecological processes.

Abnormal Calcium Accumulation and ROS Homeostasis-Induced Tapetal Programmed Cell Death Lead to Pollen Abortion of Petaloid-Type Cytoplasmic Male Sterility in Camellia oleifera

Cytoplasmic male sterility (CMS) plays a crucial role in the utilization of heterosis. The petaloid anther abortion in oil tea (Camellia oleifera Abel.) constitutes a CMS phenomenon, which is of great value for the hybrid breeding of oil tea. However, as the mechanism of its CMS is still poorly understood, it is necessary to study the cytology and physiological characteristics of anther abortion. In this study, a C. oleifera cultivar, Huashuo (HS), and its petalized CMS mutant (HSP) were used as materials to explore this mechanism. Compared with HS, cytological analysis demonstrated that HSP showed early-onset tapetum programmed cell death (PCD) and an organelle disorder phenotype during the tetrad stage. In HSP, anthers exhibited elevated levels of calcium deposition in anther wall tissues, tapetum layers, and microspores, and yet calcium accumulation was abnormal at the later stage. The contents of hydrogen peroxide and MDA in HSP anthers were higher, and the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) were lower than those of HS, which resulted in an excessive accumulation of reactive oxygen species (ROS). Real-time quantitative PCR confirmed that the transcription levels of CoPOD and CoCAT genes encoding key antioxidant enzymes in HSP were downregulated compared with HS in early pollen development; the gene CoCPK, which encodes a calcium-dependent protein kinase associated with antioxidase, was upregulated during the critical period. Thus, we suggest that excessive ROS as a signal breaks the balance of the antioxidant system, and along with an abnormal distribution of calcium ions, leads to the early initiation of PCD in the tapetum, and ultimately leads to pollen abortion for HSP. These results lay a cytological and physiological foundation for further studies on the CMS mechanism, and provide information for breeding male-sterile lines of C. oleifera.

Illuminating Progress: A Comprehensive Review of the Evolution of Phototherapy for Neonatal Hyperbilirubinemia.

This comprehensive review thoroughly examines the historical evolution, physiological foundations, and contemporary advancements in the application of phototherapy for neonatal hyperbilirubinemia. Neonatal hyperbilirubinemia, a common condition resulting from the immature hepatic processes in newborns, poses potential risks, including neurotoxicity, if left untreated. The review traces the historical progression from early recognition of neonatal jaundice to the development of various phototherapy modalities, showcasing the dynamic landscape of neonatal care. Emphasizing the physiological intricacies of bilirubin metabolism in neonates, the study underscores the vulnerability of newborns to hyperbilirubinemia due to delayed hepatic maturation. Phototherapy is a cornerstone in managing hyperbilirubinemia, demonstrating consistent efficacy in reducing unconjugated bilirubin levels. The implications for clinical practice are significant, offering healthcare professionals insights into tailoring treatment strategies based on individual neonatal characteristics and the severity of jaundice. Integrating advanced monitoring and control systems enhances the precision and safety of phototherapy. Recommendations for future research emphasize the need to investigate long-term outcomes, explore adjunctive therapies, and address resource limitations to ensure global access to effective neonatal care. Overall, this review contributes to the ongoing refinement of neonatal care practices, offering a comprehensive understanding of neonatal hyperbilirubinemia and its evolving treatment landscape.