Stages Of Cycle Research Articles

The Estrous Cycle Coordinates the Circadian Rhythm of Eating Behavior in Mice.

The estrous cycle regulates rhythms of locomotor activity, body temperature, and circadian gene expression. In female mice, activity increases on the night of proestrus, when elevated estrogens cause ovulation. Exogenous estradiol regulates eating behavior rhythms in female mice fed a high-fat diet, but it is unknown whether endogenous estrogens regulate eating rhythms. In this study, we investigated whether diurnal and circadian eating behavior rhythms change systematically across the estrous cycle. We first studied diurnal eating behavior rhythms in female C57BL/6J mice in 12L:12D. Estrous cycle stages were determined by vaginal cytology while eating behavior and wheel revolutions were continuously measured. The mice had regular 4- to 5-day estrous cycles. Consistent with prior studies, the greatest number of wheel revolutions occurred on the night of proestrus into estrus when systemic levels of estrogens peak. The amplitude, or robustness, of the eating behavior rhythm also fluctuated with 4- to 5-day cycles and peaked primarily during proestrus or estrus. The phases of eating behavior rhythms fluctuated, but not at 4- or 5-day intervals, and phases did not correlate with estrous cycle stages. After ovariectomy, the eating behavior rhythm amplitude fluctuated at irregular intervals. In constant darkness, the amplitude of the circadian eating behavior rhythm peaked every 4 or 5 days and coincided with the circadian day that had the greatest number of wheel revolutions, a marker of proestrus. These data suggest that fluctuations of ovarian hormones across the estrous cycle temporally organize the robustness of circadian eating behavior rhythms so that it peaks during ovulation and sexual receptivity.

The relationship between firm life cycle and firm strategies: A systematic review and future direction

The business life cycle is examined through a comprehensive literature review in this academic study. Our initial approach involves searching for relevant articles on firm life cycle and strategy using the Web of Science and Scopus databases. We conduct bibliometric analyses to identify key contributors and recurring keywords. Subsequently, we select twenty-seven research papers to explore the Theory Development, Characteristics, Context, and Methodology (TCCM) framework for firm life cycle and strategy. Our analysis summarizes corresponding business strategies for each stage, including the use of Initial Management Control Systems (MCS) in the introduction phase. As companies grow, a high inventory-to-sales ratio may hinder effectiveness, but it proves beneficial in the growth and revival stages. Mature companies excel in green process innovation and engage more in Corporate Social Responsibility (CSR) activities. In the decline stage, firms use cost efficiencies, asset retrenchment, and core activity focus for recovery, signaling commitment to a successful turnaround. However, there is a research gap in exploring appropriate global strategies for various life cycle stages, providing an opportunity for additional articles to thoroughly investigate this relationship and assess multinational enterprises’ success trajectories throughout their life cycles.

IMPROVED DECISION-MAKING ALGORITHM FOR THE REDEVELOPMENT OF INDUSTRIAL AREAS

Raising of problem. As a result of the financial and economic crisis, many industrial enterprises have ceased operations or significantly reduced production volumes due to the shrinking markets for their products, which is accompanied by destructive processes and phenomena. In a dynamic competitive environment, some enterprises have outdated and worn-out fixed assets, their products are not in demand, their premises are leased, large areas are covered with waste and harmful substances that are environmentally hazardous, low technological level of production, weak scientific and technical sphere, and reduced supply of labour resources. Therefore, ensuring sustainable development of Ukraine is impossible without solving the problems of restructuring and qualitative renewal of industrial production, reconstruction of degraded urban areas occupied by abandoned buildings and structures of industrial enterprises. Thus, there is an objective need to increase the level of profitability of land development by justifying alternative land use options: demolition of degraded industrial enterprises and construction of new facilities or reconstruction of industrial buildings and structures with a change of functional purpose. However, there is currently no unified approach to building an information model of the decision-making process for the reconstruction of industrial enterprises with a change in their functional purpose. Translated with DeepL.com (free version). Purpose of the aricle. To develop an improved decision-making algorithm for the reconstruction of mining enterprises with a change in functional purpose. Conclusion. The decision-making algorithm for the reconstruction of industrial enterprises with a change in functional purpose, which ensures the receipt of substantiated values of technical and economic indicators of such projects, depending on the available initial information about the object and the conditions of production of works, and also provides the possibility of specifying the values indicators of the effectiveness of managerial decisions at different stages of the life cycle, thanks to the adjustment of the values of the duration and cost of reconstruction by varying the parameters that are part of the determining factors.

Mycotoxins in Portuguese Agricultural Maize Fields and Dairy Farms.

Fungal and mycotoxin control at a primary stage in the food chain is crucial to maintaining the nutritional quality of animal feed. The control of fungal and mycotoxins is one of the essential points that a good biosecurity program must establish to ensure the safe feeding and protection of animal and human health. Acquiring a comprehensive understanding of the role of mycotoxins is vital to identifying breaches of this control and enabling the performance of proper risk assessments and accurate risk management strategies. This study focused on the identification of regulated and emerging mycotoxins in agricultural fields and dairy farms through an analytical methodology by ultra high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-QTrap-MS/MS). This allowed us to identify a Portuguese mycotoxin profile in the maize value chain for the first time. Regarding our occurrence data, mycotoxins were identified in all samples, namely seeds, flowering plants, grain and forage at harvest, maize silage, and animal feed. FBs and ENNB were highly present in all stages of the production cycle. This work offers an initial insight into a full screening of regulated and emerging mycotoxins within an important agricultural commodity. The high occurrence of these compounds points to the need to perform occurrence surveys from an integrative perspective to protect consumers' health, especially within food chains that provide various important staple foods worldwide.

Computational model-based hemodynamic comparisons of traditional and modified idealized models of autologous radiocephalic fistula.

Autologous arteriovenous fistula (AVF) is a commonly used vascular access (VA) for hemodialysis, and hemodynamic changes are one of the main factors for its failure. To explore the effect of geometry on the hemodynamics in the AVF, a modified model is built with a gradual and smooth turn at the anastomosis and is compared with the traditional model, which has an abrupt sharp turn at the anastomisis. Transient computational fluid dynamics (CFD) simulations were performed for the comparison and analysis of the hemodynamic fields of the two models at different stages of the pulse cycle. The results showed that the low shear stress region and high oscillatory shear stress region in the modified AVF model coincided with regions of intimal hyperplasia that have been identified by previous studies. A comparison with the blood flow velocities measured in vivo was performed, and the error between the simulation results and the medical data was reduced by 22% in the modified model, which verifies the rationality and utility of the modified model.

RECONSTRUCTION OF THE SYSTEM OF GREENING TERRITORIES OF THE DNIPRO AREA IN THE MINDS OF FURTHER TRANSFORMATIONS OF EXOGENIC, ENDOGENIC AND ANTHROPOGENIC FACTORS OF THE OLD DEVELOPMENT

Raising of problem. As a result of the financial and economic crisis, many industrial enterprises have ceased operations or significantly reduced production volumes due to the shrinking markets for their products, which is accompanied by destructive processes and phenomena. In a dynamic competitive environment, some enterprises have outdated and worn-out fixed assets, their products are not in demand, their premises are leased, large areas are covered with waste and harmful substances that are environmentally hazardous, low technological level of production, weak scientific and technical sphere, and reduced supply of labour resources. Therefore, ensuring sustainable development of Ukraine is impossible without solving the problems of restructuring and qualitative renewal of industrial production, reconstruction of degraded urban areas occupied by abandoned buildings and structures of industrial enterprises. Thus, there is an objective need to increase the level of profitability of land development by justifying alternative land use options: demolition of degraded industrial enterprises and construction of new facilities or reconstruction of industrial buildings and structures with a change of functional purpose. However, there is currently no unified approach to building an information model of the decision-making process for the reconstruction of industrial enterprises with a change in their functional purpose. Translated with DeepL.com (free version). Purpose of the aricle. To develop an improved decision-making algorithm for the reconstruction of mining enterprises with a change in functional purpose. Conclusion. The decision-making algorithm for the reconstruction of industrial enterprises with a change in functional purpose, which ensures the receipt of substantiated values of technical and economic indicators of such projects, depending on the available initial information about the object and the conditions of production of works, and also provides the possibility of specifying the values indicators of the effectiveness of managerial decisions at different stages of the life cycle, thanks to the adjustment of the values of the duration and cost of reconstruction by varying the parameters that are part of the determining factors.

In Vitro Antiviral Activity of Rhodiola crenulata Extract against Zika Virus and Japanese Encephalitis Virus: Viral Binding and Stability.

Zika virus (ZIKV) and Japanese encephalitis virus (JEV) can cause permanent neurological damage and death, yet no approved drugs exist for these infections. Rhodiola crenulate, an herb used in traditional Chinese medicine for its antioxidation and antifatigue properties, was studied for its antiviral activity against ZIKV and JEV in vitro. The cytotoxicity of Rhodiola crenulata extract (RCE) was evaluated using the CCK-8 reagent. Antiviral effects of RCE were assessed in ZIKV-infected or JEV-infected Vero cells via quantitative reverse transcription polymerase chain reaction (qRT-PCR), Western blotting, fluorescent focus assay (FFA), and immunofluorescence assay (IFA). The cell-free antiviral effects of RCE were evaluated using an inactivation assay. To determine the stage of the viral life cycle affected by RCE, time-of-addition, binding, and entry assays were conducted. Three bioactive constituents of RCE (salidroside, tyrosol, and gallic acid) were tested for antiviral activity. RCE exhibited dose-dependent anti-ZIKV and anti-JEV activities at non-cytotoxic concentrations, which were likely achieved by disrupting viral binding and stability. Gallic acid exhibited antiviral activity against ZIKV and JEV. Our findings indicate that RCE disrupts viral binding and stability, presenting a potential strategy to treat ZIKV and JEV infections.

Antiviral Properties of Moringa oleifera Leaf Extracts against Respiratory Viruses.

Moringa oleifera (M. oleifera) is a plant widely used for its beneficial properties both in medical and non-medical fields. Because they produce bioactive metabolites, plants are a major resource for drug discovery. In this study, two different cultivars of leaves of M. oleifera (Salento and Barletta) were obtained by maceration or microwave-assisted extraction (MAE). We demonstrated that extracts obtained by MAE exhibited a lower cytotoxic profile compared to those obtained by maceration at concentrations ranged from 25 to 400 µg/mL, on both Vero CCL-81 and Vero/SLAM cells. We examined their antiviral properties against two viruses, i.e., the human coronavirus 229E (HCoV-229E) and measles virus (MeV), which are both responsible for respiratory infections. The extracts were able to inhibit the infection of both viruses and strongly prevented their attack and entry into the cells in a range of concentrations from 50 to 12 µg/mL. Particularly active was the variety of Salento that registered a 50% inhibitory concentration (IC50) at 21 µg/mL for HCoV-229E and at 6 µg/mL for MeV. We identified the presence of several compounds through high performance liquid chromatography (HPLC); in particular, chlorogenic and neochlorogenic acids, quercetin 3-O-β-d-glucopyranoside (QGP), and glucomoringin (GM) were mainly observed. In the end, M. oleifera can be considered a promising candidate for combating viral infections with a very strong action in the early stages of viral life cycle, probably by destructuring the viral particles blocking the virus-cell fusion.

Single-cell transcriptomic analysis of immune cell dynamics in the healthy human endometrium

The microenvironment of the endometrial immune system is crucial to the success of placental implantation and healthy pregnancy. However, the functionalities of immune cells across various stages of the reproductive cycle have yet to be fully comprehended. To address this, we conducted advanced bioinformatic analysis on 230,049 high-quality single-cell transcriptomes from healthy endometrial samples obtained during the proliferative, secretory, early pregnancy, and late pregnancy stages. Our investigation has unveiled that proliferative natural killer (NK) cells, a potential source of endometrial NK cells, exhibit the most robust proliferative and differentiation potential during non-pregnant stages. We have also identified similar differentiation trajectories of NK cells originating from proliferative NK cells across four stages. Notably, during early pregnancy, NK cells demonstrate the highest oxidative phosphorylation metabolism activity, and, in conjunction with macrophages and T cells, exhibit the strongest type II interferon response. With spatial transcriptome data, we have discerned that the most robust immune-non-immune interactions are associated with the promotion and inhibition of cell proliferation, differentiation and migration during four stages. Furthermore, we have compiled lists of stage-specific risk genes implicated in reproductive diseases, which hold promise as potential disease biomarkers. Our study provides insights into the dynamics of the endometrial immune microenvironment during different reproductive cycle stages, thus serving as a reference for detecting pathological changes during pregnancy.

SARS-CoV-2 RNA Detection in Wastewater and Its Effective Correlation with Clinical Data during the Outbreak of COVID-19 in Salamanca.

Wastewater treatment plants (WWTPs) are the final stage of the anthropogenic water cycle where a wide range of chemical and biological markers of human activity can be found. In COVID-19 disease contexts, wastewater surveillance has been used to infer community trends based on viral abundance and SARS-CoV-2 RNA variant composition, which has served to anticipate and establish appropriate protocols to prevent potential viral outbreaks. Numerous studies worldwide have provided reliable and robust tools to detect and quantify SARS-CoV-2 RNA in wastewater, although due to the high dilution and degradation rate of the viral RNA in such samples, the detection limit of the pathogen has been a bottleneck for the proposed protocols so far. The current work provides a comprehensive and systematic study of the different parameters that may affect the detection of SARS-CoV-2 RNA in wastewater and hinder its quantification. The results obtained using synthetic viral RNA as a template allow us to consider that 10 genome copies per µL is the minimum RNA concentration that provides reliable and consistent values for the quantification of SARS-CoV-2 RNA. RT-qPCR analysis of wastewater samples collected at the WWTP in Salamanca (western Spain) and at six pumping stations in the city showed that below this threshold, positive results must be confirmed by sequencing to identify the specific viral sequence. This allowed us to find correlations between the SARS-CoV-2 RNA levels found in wastewater and the COVID-19 clinical data reported by health authorities. The close match between environmental and clinical data from the Salamanca case study has been confirmed by similar experimental approaches in four other cities in the same region. The present methodological approach reinforces the usefulness of wastewater-based epidemiology (WBE) studies in the face of future pandemic outbreaks.

Citizen science and science communication: toward a more inclusive pattern?

Despite research calls in citizen science and science communication for more participatory approaches, practical attempts are uncommon. This practice insight focuses on a significant barrier to adopting a participatory approach — the lack of inclusion. In this project, I identified the barriers and determinants of inclusion through a literature review, and then I developed and tested a framework applicable to participatory science communication projects to determine if projects recognise and address inclusion considerations. I successfully tested the framework using reports from a European citizen science project. By considering inclusion criteria as essential for participatory science communication, this framework may help practitioners account for inclusion considerations during the design and monitoring stages of the project cycle.

Determination of the rat estrous cycle vased on EfficientNet.

In the field of biomedical research, rats are widely used as experimental animals due to their short gestation period and strong reproductive ability. Accurate monitoring of the estrous cycle is crucial for the success of experiments. Traditional methods are time-consuming and rely on the subjective judgment of professionals, which limits the efficiency and accuracy of experiments. This study proposes an EfficientNet model to automate the recognition of the estrous cycle of female rats using deep learning techniques. The model optimizes performance through systematic scaling of the network depth, width, and image resolution. A large dataset of physiological data from female rats was used for training and validation. The improved EfficientNet model effectively recognized different stages of the estrous cycle. The model demonstrated high-precision feature capture and significantly improved recognition accuracy compared to conventional methods. The proposed technique enhances experimental efficiency and reduces human error in recognizing the estrous cycle. This study highlights the potential of deep learning to optimize data processing and achieve high-precision recognition in biomedical research. Future work should focus on further validation with larger datasets and integration into experimental workflows.

In situ fate of Chikungunya virus replication organelles.

Chikungunya virus (CHIKV) is a mosquito-borne pathogen responsible for an acute musculoskeletal disease in humans. Replication of the viral RNA genome occurs in specialized membranous replication organelles (ROs) or spherules, which contain the viral replication complex. Initially generated by RNA synthesis-associated plasma membrane deformation, alphavirus ROs are generally rapidly endocytosed to produce type I cytopathic vacuoles (CPV-I), from which nascent RNAs are extruded for cytoplasmic translation. By contrast, CHIKV ROs are poorly internalized, raising the question of their fate and functionality at the late stage of infection. Here, using in situ cryogenic-electron microscopy approaches, we investigate the outcome of CHIKV ROs and associated replication machinery in infected human cells. We evidence the late persistence of CHIKV ROs at the plasma membrane with a crowned protein complex at the spherule neck similar to the recently resolved replication complex. The unexpectedly heterogeneous and large diameter of these compartments suggests a continuous, dynamic growth of these organelles beyond the replication of a single RNA genome. Ultrastructural analysis of surrounding cytoplasmic regions supports that outgrown CHIKV ROs remain dynamically active in viral RNA synthesis and export to the cell cytosol for protein translation. Interestingly, rare ROs with a homogeneous diameter are also marginally internalized in CPV-I near honeycomb-like arrangements of unknown function, which are absent in uninfected controls, thereby suggesting a temporal regulation of this internalization. Altogether, this study sheds new light on the dynamic pattern of CHIKV ROs and associated viral replication at the interface with cell membranes in infected cells.IMPORTANCEThe Chikungunya virus (CHIKV) is a positive-stranded RNA virus that requires specialized membranous replication organelles (ROs) for its genome replication. Our knowledge of this viral cycle stage is still incomplete, notably regarding the fate and functional dynamics of CHIKV ROs in infected cells. Here, we show that CHIKV ROs are maintained at the plasma membrane beyond the first viral cycle, continuing to grow and be dynamically active both in viral RNA replication and in its export to the cell cytosol, where translation occurs in proximity to ROs. This contrasts with the homogeneous diameter of ROs during internalization in cytoplasmic vacuoles, which are often associated with honeycomb-like arrangements of unknown function, suggesting a regulated mechanism. This study sheds new light on the dynamics and fate of CHIKV ROs in human cells and, consequently, on our understanding of the Chikungunya viral cycle.

Exploiting the Affimer platform against influenza A virus.

Influenza A virus is one of the few viruses that can cause devastating pandemics. Due to the high mutation rates of this virus, annual vaccination is required, and antivirals are short-lived. Monoclonal antibodies present a promising approach to tackle influenza virus infections but are associated with some limitations. To improve on this strategy, we explored the Affimer platform, which are antibody-like proteins made in bacteria. By performing phage-display against a monomeric version of influenza virus fusion protein, an established viral target, we were able to isolate Affimers that inhibit influenza virus infection in vitro. We characterized the mechanism of inhibition of the Affimers by using assays targeting different stages of the viral replication cycle. We additionally characterized HA-Affimer complex structure, using a novel approach to prepare samples for cryo-electron microscopy. Overall, these results show that Affimers are a promising tool against influenza virus infection.

The Mechanism of Action of L-Tyrosine Derivatives against Chikungunya Virus Infection In Vitro Depends on Structural Changes.

Although the disease caused by chikungunya virus (CHIKV) is of great interest to public health organizations around the world, there are still no authorized antivirals for its treatment. Previously, dihalogenated anti-CHIKV compounds derived from L-tyrosine (dH-Y) were identified as being effective against in vitro infection by this virus, so the objective of this study was to determine the mechanisms of its antiviral action. Six dH-Y compounds (C1 to C6) dihalogenated with bromine or chlorine and modified in their amino groups were evaluated by different in vitro antiviral strategies and in silico tools. When the cells were exposed before infection, all compounds decreased the expression of viral proteins; only C4, C5 and C6 inhibited the genome; and C1, C2 and C3 inhibited infectious viral particles (IVPs). Furthermore, C1 and C3 reduce adhesion, while C2 and C3 reduce internalization, which could be related to the in silico interaction with the fusion peptide of the E1 viral protein. Only C3, C4, C5 and C6 inhibited IVPs when the cells were exposed after infection, and their effect occurred in late stages after viral translation and replication, such as assembly, and not during budding. In summary, the structural changes of these compounds determine their mechanism of action. Additionally, C3 was the only compound that inhibited CHIKV infection at different stages of the replicative cycle, making it a compound of interest for conversion as a potential drug.

The role of firm life cycle on capital structure of family firms over non‐family firms: Empirical evidence from India

AbstractThis study attempts to identify and compare the critical determinants and the speed of adjustment to optimal capital structure across various stages of the firm life cycle (FLC). Signifying the attitude of family firms (FFs) owing to risk aversion and the need to preserve firm control, the study differentiates the debt policies of family and non‐family firms (NFFs) in an emerging economy. We use a target adjustment model and two‐step system generalised method of moments to analyse panel data on a sample of 1435 listed non‐financial firms spanning from 2013 to 2022. We find that compared to NFFs, FFs are inherently more indebted and adjust faster towards achieving optimal capital structure. Next, we find that firm's profitability, liquidity and tangibility are the major factors that significantly impact the quantity of debt across different stages of the FLC in both FFs and NFFs. Our results are robust to a battery of sensitivity tests. Our study suggests the significance of appropriate capital structure at different stages of the FLC.

Tissue-specific effects of temperature and salinity on the cell cycle and apoptosis in the Nile Tilapia (Oreochromis niloticus)

The Nile Tilapia (Oreochromis niloticus) evolved in warm, freshwater rivers, but possesses a broad physiological tolerance to a range of environmental conditions. Due to this hardiness and resilience, this species has been successfully introduced to regions widely outside of its native range. Here, we examine the impact of temperature and salinity variation on this species at the sub-lethal level. Specifically, Nile Tilapia were exposed to two temperatures (21 °C or 14 °C) and three salinities (0, 16, 34 ppt) for 1-h. Given their native habitat, the 21 °C / 0 ppt exposure was considered the control condition. Both cell cycle arrest and apoptosis represent sub-lethal but deleterious responses to environmental stress. Flow cytometry was used to assess the percentage of cells in a given stage of the cell cycle as a metric of cell cycle arrest in spleen and liver. Percentage of apoptotic cells were also quantified. Spleen was more sensitive to cold stress, demonstrating an increase in cells in the G2/M phase after experimental treatment. Liver, however, was more sensitive to salinity stress, with a significant increase in cells stalled in G2/M phase at higher salinities, which is in keeping with the freshwater evolutionary history of the species. A modest apoptotic signal was observed in liver but not in spleen. Together, these findings demonstrate that even short, acute exposures to cold temperatures and elevated salinity can cause sub-lethal damage in a species that is otherwise tolerant of environmental stress at the whole organism level.

Sustainability evaluation and life cycle assessment of concretes including pozzolanic by-products and alkali-activated binders

The construction industry's top priorities for achieving a sustainable future include minimizing the use of non-renewable resources, managing waste generation, and reducing related gas emissions. This fact emphasizes the need for using natural materials such as pozzolan as a substitute or supplemental component in the production of Portland cement concrete. This study presents a review of evaluating the sustainability performance and life cycle assessment of pozzolan-based concrete compared with ordinary Portland cement concrete using the preference selection index approach and evaluating CO2 gas emissions during material life cycle stages. Furthermore, the durability and environmental effects of using pozzolan in concrete were comprehensively investigated. The advantages of using Pozzolans-based concrete in the development of sustainability aspects have been precisely predicted through the application of the PSI method, which depends on several criteria based on the properties of different cement types. It was discovered that substituting pozzolanic material for a portion of Portland cement when producing concrete significantly reduces the environmental effects (i.e., energy use and carbon dioxide emissions).

A protocol for a multidisciplinary early intervention during chemotherapy to improve dietary management behavior in breast cancer patients: a two-arm, single-center randomized controlled trial

BackgroundAdverse reactions are prone to occur in the early stage of chemotherapy and can negatively affect the dietary intake and nutritional status of breast cancer (BC) patients. Consequently, they need to participate in health self-management and lifestyle promotion programs. Early multidisciplinary interventions aim to enhance dietary management behavior and quality of life in chemotherapy-treated BC patients.MethodsThis single-blinded, single-center, randomized controlled trial will include 88 females who have not yet started the early or middle stage of the chemotherapy cycle. A random number table will be used randomly assign females to the intervention group or usual group at a 1:1 ratio. The intervention elements are based on the theoretical guidance of the Integrated Theory of Health Behavior Change (ITHBC). A multidisciplinary team (MDT) comprising oncologists, dietitians, nurses, traditional Chinese medicine (TCM) practitioners, and psychologists will provide the intervention. Intervention sessions will be conducted once a week for 8 weeks, beginning in the early or middle stage of the chemotherapy cycle and continuing through admission and a home-based interval chemotherapy period. The intervention includes face-to-face discussions, online meetings, WeChat messaging, and telephone calls. The themes target adverse reactions, dietary information and habits, self-care self-efficacy, treatment self-regulation, dietary supplement and TCM use, social support, weight management, and outcome expectations. The primary outcome is dietary management behavior measured by the Dietary Management Behavior Questionnaire (DMBQ). Secondary outcomes are self-care self-efficacy assessed by the Strategies Used by People to Promote Health (SUPPH); quality of life measured by the Functional Assessment of Cancer Therapy-Breast (FACT-B); and body mass index (BMI) measured by an electronic meter. All participants will be assessed at baseline and immediately, 1 month, 3 months, 6 months, and 12 months after the intervention.DiscussionEarly dietary intervention is needed, as diet is one of the most common health self-management behaviors influenced by chemotherapy. Early multidisciplinary interventions may provide a foundation for dietary self-management and improve nutritional status in the survival period.Trial registrationThis intervention protocol was registered with the Chinese Clinical Trials Registry (ChiCTR2300076503, October 10, 2023).

C/EBPβ deletion in macrophages impairs mammary gland alveolar budding during the estrous cycle.

Macrophages have important roles in mammary gland development and tissue homeostasis, but the specific mechanisms that regulate macrophage function need further elucidation. We have identified C/EBPβ as an important transcription factor expressed by multiple macrophage populations in the normal mammary gland. Mammary glands from mice with C/EBPβ-deficient macrophages (Cebpb ΔM) show a significant decrease in alveolar budding during the diestrus stage of the reproductive cycle, whereas branching morphogenesis remains unchanged. Defects in alveolar budding were found to be the result of both systemic hormones and local macrophage-directed signals. RNA sequencing shows significant changes in PR-responsive genes and alterations in the Wnt landscape of mammary epithelial cells of Cebpb ΔM mice, which regulate stem cell expansion during diestrus. Cebpb ΔM macrophages demonstrate a shift from a pro-inflammatory to a tissue-reparative phenotype, and exhibit increased phagocytic capacity as compared to WT. Finally, Cebpb ΔM macrophages down-regulate Notch2 and Notch3, which normally promote stem cell expansion during alveolar budding. These results suggest that C/EBPβ is an important macrophage factor that facilitates macrophage-epithelial crosstalk during a key stage of mammary gland tissue homeostasis.