Search Results (97)

The intestinal mucus layer is a dynamic protective barrier that maintains gut homeostasis, supports immune defense, and regulates host–microbiota interactions. Rodent models have yielded valuable insights, but their intestinal structure and physiology differ from those of humans and pigs. By contrast, the omnivorous pig shares closer anatomical and immunological features with humans, making it a relevant large-animal model in translational studies. In this study, we established a histological workflow for porcine intestine by combining Carnoy’s fixation with Alcian Blue–Periodic Acid–Schiff and Mucicarmine staining. This enabled accurate visualization and quantification of goblet-cell density and mucus thickness across intestinal segments, with a particular focus on Peyer’s patches—key sites of immune surveillance. Both stains produced consistent results. We observed a clear proximal-to-distal gradient, from jejunum to colon, in mucus thickness: the colon displayed the thickest layer (~100 μm), whereas the follicle-associated epithelium over Peyer’s patches in the jejunum and ileum showed a markedly thinner layer (<12 μm) and fewer goblet cells. Immunofluorescence further revealed strong cytokeratin-18 expression in goblet cells, delineating their morphology and polarity. These findings demonstrate region-specific differences in mucus architecture and goblet-cell distribution that likely reflect specialized immune functions, advancing our understanding of the intestinal barrier and informing future strategies to support gut health and immunity. Full article

As essential skin appendages, hair follicles exhibit complex developmental and regenerative processes shaped by the skin microenvironment. Imbalances in skin microenvironmental homeostasis are often accompanied by follicle miniaturization and even hair loss. In studying the mechanisms of hair follicle development, in addition to focusing on the self-regulation of intrinsic signaling within the follicle, it is also crucial to examine the remodeling of the follicular microenvironment triggered by dynamic changes in the skin microenvironment. Herein, we review the individual and combined roles of various cells, tissues, signaling molecules, and metabolic alterations within the skin microenvironment in hair follicle development. Moreover, we summarize the potential applications of the skin microenvironment in treating hair-related diseases, highlight the existing challenges and limitations in the research field, and provide perspectives on future research directions, aiming to elucidate the critical role of the skin microenvironment in regulating hair follicle development. Full article

This review article focuses on the role of choline in ovarian follicular development, regulated by nutrient–epigenetic interactions. Choline, a key feed additive, participates in DNA methylation and steroid hormone synthesis via its methyl donor function. However, its role in follicular hierarchy and maturation is unclear. Research lacks an understanding of species-specific choline metabolism, follicular fluid methylation dynamics, and toxicity thresholds. This study combines animal nutrition, epigenetics, and reproductive endocrinology. Using in vitro follicle culture models, metabolomics analysis, and cytochrome P450 family 19 subfamily A member 1 (CYP19a1) methylation site screening, it reveals that choline regulates follicle hierarchy through the betaine-S-adenosylmethionine (SAM) pathway. Proper dietary choline reduces homocysteine (HCY) and boosts CYP19a1 demethylation, enhancing theca cell estradiol (E₂) production and accelerating follicle maturation. In contrast, inadequate or excessive choline causes mesoderm-specific transcript (MEST) gene methylation abnormalities or trimethylamine N-oxide (TMAO)-mediated β-oxidation inhibition, increasing follicle atresia. A phenomenon of steroidogenic factor 1 (SF-1) methylation has been observed in poultry, showing that choline affects offspring egg-laying persistence by altering the adrenal–ovarian axis DNA methylation imprint. Future research should establish a precise choline supply system based on the HCY/TMAO ratio in follicular fluid and the CYP19a1 methylation map to improve animal reproduction. Full article

Cisplatin remains a cornerstone chemotherapeutic agent; however, its off-target gonadotoxicity poses a significant risk for premature ovarian failure (POF) and infertility in young women. Strategies to preserve ovarian function during chemotherapy are critically needed. To investigate the protective effects of krill oil supplementation against cisplatin-induced ovarian damage in a rat model, with a focus on oxidative stress, inflammation, follicular dynamics, and stromal fibrosis. Twenty-one adult female Wistar albino rats were randomized into three groups: control, cisplatin-treated, and cisplatin + krill oil-treated. Ovarian toxicity was induced via intraperitoneal injection of cisplatin (2.5 mg/kg, twice weekly for four weeks). Krill oil (4 mL/kg/day) was administered orally during the same period. Ovarian histopathology, follicle counts (primordial, primary, secondary, tertiary), stromal fibrosis, and biochemical markers, including plasma anti-Müllerian hormone (AMH), malondialdehyde (MDA), tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), and ovarian levels of nuclear factor erythroid 2-related factor 2 (Nrf2), Toll-like receptor 4 (TLR4), TNF-α, NOD-like receptor family pyrin domain containing 3 (NLRP3), and IL-1β were evaluated. Cisplatin significantly reduced primordial, primary, secondary, and tertiary follicle counts while increasing stromal fibrosis (p < 0.001). Krill oil co-treatment notably ameliorated follicular depletion—improving follicle counts by 38.16%, 54.74%, 62.5%, 40.43%, respectively—and reduced fibrosis (p = 0.017). Biochemically, cisplatin decreased AMH levels and Nrf2 expression while elevating MDA, TNF-α, TLR4, NLRP3, and IL-1β levels (p < 0.001). Krill oil supplementation restored AMH (p = 0.002) and Nrf2 (p = 0.003) levels, while reducing MDA (p = 0.009), NLRP3 (p < 0.001), ovarian IL-1β (p = 0.005), plasma IL-1β (p < 0.001), TLR4 (p = 0.001), plasma TNF-α (p = 0.001), and ovarian TNF-α (p < 0.001), compared to the cisplatin group. Krill oil exerts significant antioxidant and anti-inflammatory effects, offering a promising strategy to mitigate cisplatin-induced ovarian damage and preserve fertility in young cancer patients. Full article

Hair follicles are essential to hair formation and cyclic regeneration, experiencing growth and degeneration, and quiescence phases involving complex signaling pathways. Among these, fibroblast growth factors (FGFs) play a critical role in follicular morphogenesis, but the role of FGF receptor signaling in hair follicle development remains underexplored. Current treatments for hair loss, such as medical, surgical, light-based, and nutraceutical interventions, are often expensive, require long-term commitment, and are associated with substantial side effects. This review discusses the mechanisms and biological functions of the FGF signaling pathway within the hair follicle growth cycle, providing an overview of how these elements influence hair follicle dynamics and the pathogenesis of alopecia. Manipulating the FGF signaling pathway could offer new therapeutic options for androgenetic alopecia and other hair loss conditions, potentially exceeding current treatment modalities in efficacy and safety. Full article

Ovarian aging is characterized by a gradual decline in both reproductive and endocrine functions, ultimately culminating in the cessation of ovarian activity around the age of 50, when most women experience natural menopause. The decline begins early, as follicular attrition is initiated in utero and continues throughout childhood and reproductive life. Most follicles undergo atresia without progressing through substantial stages of growth. With increasing age, a pronounced reduction occurs in the population of resting follicles within the ovarian reserve, accompanied by a decline in the size of growing follicular cohorts. Around the age of 38, the rate of follicular depletion accelerates, sometimes resulting in diminished ovarian reserve (DOR). The subsequent menopausal transition involves complex, irregular hormonal dynamics, manifesting as increasingly erratic menstrual patterns, primarily driven by fluctuations in circulating estrogens and a rising incidence of anovulatory cycles. In parallel with the progressive depletion of the follicular pool, the serum concentrations of anti-Müllerian hormone (AMH) decline gradually, while reductions in inhibin B levels become more apparent during the late reproductive years. The concomitant decline in both inhibin B and estrogen levels leads to a compensatory rise in circulating follicle-stimulating hormone (FSH) concentrations. Together, these endocrine changes, alongside the eventual exhaustion of the follicular reserve, converge in the onset of menopause, which is defined by the absence of menstruation for twelve consecutive months. The mechanisms contributing to ovarian aging are complex and multifactorial, involving both the oocyte and the somatic cells within the follicular microenvironment. Oxidative stress is thought to play a central role in the age-related decline in oocyte quality, primarily through its harmful effects on mitochondrial DNA integrity and broader aspects of cellular function. Although granulosa cells appear to be relatively more resilient, they are not exempt from age-associated damage, which may impair their hormonal activity and, given their close functional relationship with the oocyte, negatively influence oocyte competence. In addition, histological changes in the ovarian stroma, such as fibrosis and heightened inflammatory responses, are believed to further contribute to the progressive deterioration of ovarian function. A deeper understanding of the biological processes driving ovarian aging has facilitated the development of experimental interventions aimed at extending ovarian functionality. Among these are the autologous transfer of mitochondria and stem cell-based therapies, including the use of exosome-producing cells. Additional approaches involve targeting longevity pathways, such as those modulated by caloric restriction, or employing pharmacological agents with geroprotective properties. While these strategies are supported by compelling experimental data, robust clinical evidence in humans remains limited. Full article

Background: Artificial intelligence (AI) and machine learning (ML) have been reshaping maternal, fetal, neonatal, and reproductive healthcare by enhancing risk prediction, diagnostic accuracy, and operational efficiency across the perinatal continuum. However, no comprehensive synthesis has yet been published. Objective: To conduct a scoping review of reviews of AI/ML applications spanning reproductive, prenatal, postpartum, neonatal, and early child-development care. Methods: We searched PubMed, Embase, the Cochrane Library, Web of Science, and Scopus through April 2025. Two reviewers independently screened records, extracted data, and assessed methodological quality using AMSTAR 2 for systematic reviews, ROBIS for bias assessment, SANRA for narrative reviews, and JBI guidance for scoping reviews. Results: Thirty-nine reviews met our inclusion criteria. In preconception and fertility treatment, convolutional neural network-based platforms can identify viable embryos and key sperm parameters with over 90 percent accuracy, and machine-learning models can personalize follicle-stimulating hormone regimens to boost mature oocyte yield while reducing overall medication use. Digital sexual-health chatbots have enhanced patient education, pre-exposure prophylaxis adherence, and safer sexual behaviors, although data-privacy safeguards and bias mitigation remain priorities. During pregnancy, advanced deep-learning models can segment fetal anatomy on ultrasound images with more than 90 percent overlap compared to expert annotations and can detect anomalies with sensitivity exceeding 93 percent. Predictive biometric tools can estimate gestational age within one week with accuracy and fetal weight within approximately 190 g. In the postpartum period, AI-driven decision-support systems and conversational agents can facilitate early screening for depression and can guide follow-up care. Wearable sensors enable remote monitoring of maternal blood pressure and heart rate to support timely clinical intervention. Within neonatal care, the Heart Rate Observation (HeRO) system has reduced mortality among very low-birth-weight infants by roughly 20 percent, and additional AI models can predict neonatal sepsis, retinopathy of prematurity, and necrotizing enterocolitis with area-under-the-curve values above 0.80. From an operational standpoint, automated ultrasound workflows deliver biometric measurements at about 14 milliseconds per frame, and dynamic scheduling in IVF laboratories lowers staff workload and per-cycle costs. Home-monitoring platforms for pregnant women are associated with 7–11 percent reductions in maternal mortality and preeclampsia incidence. Despite these advances, most evidence derives from retrospective, single-center studies with limited external validation. Low-resource settings, especially in Sub-Saharan Africa, remain under-represented, and few AI solutions are fully embedded in electronic health records. Conclusions: AI holds transformative promise for perinatal care but will require prospective multicenter validation, equity-centered design, robust governance, transparent fairness audits, and seamless electronic health record integration to translate these innovations into routine practice and improve maternal and neonatal outcomes. Full article

Organ functions generally decline with age, but the ovary is a prototypical organ that undergoes functional loss over time. Autophagy plays a crucial role in maintaining organ homeostasis, and age-related upregulation of the autophagy inhibitor protein, Rubicon, has been linked to cellular and tissue dysfunction. This review describes how granulosa cell autophagy supports follicular growth and oocyte selection and maturation by regulating cellular energy metabolism and protein quality control. We then introduce the role of selective autophagy, including mitophagy or lipophagy, in steroidogenesis and cellular remodeling during luteinization. In aged ovaries, Rubicon accumulation suppresses autophagic flux, leading to diminished oxidative-stress resilience and enhanced DNA damage. Moreover, impaired autophagy drives the accumulation of ATP citrate lyase, which correlates with poor oocyte quality and reduced ovarian reserve. Following fertilization, oocytes further upregulate autophagy to provide the energy required for blastocyst transition. Conversely, in infertility-related disorders, such as premature ovarian insufficiency, endometriosis, and polycystic ovary syndrome, either deficient or excessive autophagy contributes to disease pathogenesis. Both autophagy inhibitors (e.g., Rubicon) and activators (e.g., Beclin1) could be emerging as promising biomarkers for assessing ovarian autophagy status. Therapeutically, Rubicon inhibition by trehalose in aged ovaries and autophagy suppression by agents such as hydroxychloroquine in polycystic ovary syndrome and endometriosis hold potential. Establishing robust methods to evaluate ovarian autophagy will be essential for translating these insights into targeted treatments. Full article

The corpus luteum (CL) is a transient gland that can directly influence follicular dynamics and oocyte quality. The objective of this study was to evaluate the influence of the absence or presence of a small (≤3 mm), medium (4–8 mm), or large (>8 mm) CL in slaughterhouse ovaries on in vitro embryo production. Cumulus–oocyte complexes (COCs) were collected from each group of ovaries and matured in TCM-199 medium, plus hormones and fetal bovine serum. Fertilization was performed with fresh semen from a Katahdin ram of known fertility. Embryo development was carried out in commercial sequential media for 72 and 96 h, until the blastocyst stage. The number of follicles (2–6 mm in diameter) and COCs were influenced by the presence of CL, which was higher (p < 0.05) in the Large CL group (5.51 ± 0.33 and 3.62 ± 0.27) compared to the Without CL group (4.54 ± 0.19 and 2.62 ± 0.14, respectively), with no difference between the CL sizes. Likewise, the diameter and area of the COCs were higher in the Small CL group of ovaries compared to the Without CL group. In the Large CL group of ovaries, 9% more morulae (p < 0.05) were obtained compared to the Without CL group; in the Medium CL group, 13% more blastocysts were obtained compared to the Without CL group. However, in the hatching capacity and diameter of blastocysts, no statistical difference was evident (p > 0.05). In conclusion, the presence and size of the CL in the ovaries of slaughtered sheep influence the productive efficiency of embryos in vitro under the conditions in which the present study was carried out. Full article

Background/Objectives: Recent global trends highlight a concerning rise in youth-onset type 2 diabetes (YOT2D), with a marked female preponderance. We aim to explore the crosstalk between gestational diabetes mellitus (GDM) and YOT2D in female offspring. Methods: In vivo, GDM mice were induced by Western diet (WD), and their female offspring were fed normal diet or WD within 3 to 8 weeks. We continuously detected the glucose metabolism disorders, serum estradiol level (ELISA), and the process of ovarian maturation. Meanwhile, the dynamic changes in ERα and insulin signal in liver were monitored (qPCR, Western blot). In vitro, LO2 cells were treated with estradiol or ER antagonist BHPI to further explore the mechanism. Results: More than 85% of pregnant mice induced by WD were GDM models. The serum estradiol level in GDM offspring mice was decreased during sexual maturation, accompanied by marked oral glucose intolerance, insulin resistance, and even diabetes. The advance of sexual maturation and the decrease in serum estradiol in GDM offspring were mainly due to the downregulation of CYP19A1 in the ovaries, the reduced area of secondary follicles, and the increased number of atresia follicles, which could be greatly worsened by WD. Furthermore, GDM suppressed the protein levels of ERα, p-IRS-1, and p-Akt in liver tissue, that is, estrogen signals and insulin signaling were simultaneously weakened. WD further exacerbated the above changes. In vitro, estradiol upregulated the protein levels of ERα, p-IRS-1, and p-Akt in LO2 cells, while BHPI inhibited these changes. Conclusions: Maternal GDM promotes a high incidence of YOT2D in female offspring by affecting ovarian maturation, and a high-calorie diet exacerbates this process. Full article

Proteases play crucial roles in ovarian folliculogenesis, regulating several processes from primordial follicle activation to ovulation and corpus luteum formation. This review synthesizes the current knowledge on the diverse functions of proteases in ovarian physiology and pathology. We discuss the classification and regulation of proteases, highlighting their importance in extracellular matrix remodeling, cell signaling, and apoptosis during ovarian follicular development. We explore the roles of several proteases including matrix metalloproteinases, tissue inhibitors of metalloproteinases, the plasminogen activator system, and cathepsins, and their roles in the critical functions of ovarian biology including follicle dynamics and senescence. Furthermore, we address the involvement of proteases in ovarian pathologies, including cancer, polycystic ovary syndrome, and primary ovarian insufficiency. By integrating recent findings from clinical genomics and animal models, this review provides a comprehensive overview of protease functions in the ovary, emphasizing their potential use for therapeutic interventions in reproductive medicine. Full article

This study, carried out from January to July 2022 in three provinces of Ecuador, aimed to evaluate the effect of two hormonal protocols for fixed-time artificial insemination (FTAI) on the follicular dynamics, hormonal profile and fertility of dairy cows affected by repeat cow syndrome (RCS). Two groups of Holstein cows with RCS were formed, G1 (conventional) and G2 (J-Sinch), with 26 and 24 animals, respectively. Gynaecological examinations and hormonal determinations in blood serum were carried out. Follicular diameter and concentrations of FSH, LH and P4 were compared by t-Student test for independent samples, estrus and pregnancy were compared by binomial comparison of proportions, and factors associated with pregnancy were determined by a model of logistic regression (LR). In G1, the diameter of the dominant follicle was greater (p < 0.05) in the left ovary on day 7 following intravaginal device implantation. However, it was similar (p > 0.05) in the right ovary on days 7, 8 and 9. The estradiol and LH concentrations at the time of FTAI and the P4 concentrations 15 days after FTAI, as well as the pregnancy rate, were higher in G1 (p < 0.05). The LR model explained 60.91% of pregnancies (p < 0.001), and the concentrations of estradiol, LH and P4 and the absence of estrus at the time of FTAI had an influence on the pregnancy rate (p < 0.05). It was concluded that the inclusion of estradiol benzoate increased the dominant follicle diameter and the concentrations of estradiol, LH and P4 and the pregnancy rate at the first FTAI. Full article

Multiplex immunostaining (mIHC) allows the simultaneous detection of multiple antigenic targets within the same tissue section, providing a deeper understanding of spatial variation in cellular distribution. The aim of the present study is to apply this technique to examine the spatial variation of lymphocyte populations in swine lymph nodes during PCV2-SD and PRRSV lymphadenopathy compared with reactive lymphoid hyperplasia. A triple immunohistochemical stain with CD3, CD20 and IBA1 antibodies for the concurrent detection of T lymphocytes, B lymphocytes and macrophages, respectively, was performed. Multiplex immunohistochemistry (mIHC) revealed that, compared to reactive hyperplasia, the most significant changes in lymph node cell populations occurred in the follicles for both PCV2 and PRRSV infections. Additionally, in PCV2 cases, notable alterations were also observed in the interfollicular areas. In PCV2-affected lymph nodes, follicles not only significantly decreased in number but also showed a marked significant reduction in CD20⁺ and CD3⁺ cells. The interfollicular region in these cases also exhibited a significant reduction in CD3⁺ cells. In contrast, PRRSV-associated lymphadenopathy showed significantly increased CD20⁺ cells in the follicles, with a similar trend noted in the interfollicular region. mIHC provides more informative results on a single tissue section, thus preserving the topographical information of the tissue and allowing a comprehensive study of cellular composition, cellular functionality and cell–cell interactions, proving to be a valuable tool for studying and understanding disease dynamics. Full article

Follicles (Fs)/Germinal Centers (GCs) in tonsils and lymph nodes are dynamic microenvironments where diverse immune cell populations interact for the development of antibody responses against pathogens. The accurate in situ phenotypic analysis of these immune cells is a prerequisite for the comphehensive understanding of GC development. In this study, we explore unsupervised clustering approaches for distinguishing cell populations within F/GCs using marker expression data. We evaluate multiple clustering algorithms and find that k-means clustering provides the most effective separation of distinct cell subsets. Additionally, we investigate the predictive potential of common GC markers (CD3, CD4, CD20 and BCL6) for PD-1 expression, an important immune checkpoint regulator. Our analysis demonstrates that PD-1 expression can be reliably inferred using these markers, suggesting potential applications for automated cell classification in immunological studies. This approach enhances our ability to analyze immune cell heterogeneity and may contribute to improved understanding of GC dynamics in health and disease. Our findings support the use of computational clustering for high-dimensional immune profiling. Full article

Scarring is a prevalent and often undesirable outcome of the wound healing process, impacting millions worldwide. The complex and dynamic nature of wound healing, including hemostasis, inflammation, proliferation, and remodeling, necessitates precise, making it hard for stage-specific interventions to prevent pathological scarring. This study introduces a double-layer hydrogel system designed for sequential drug release, aligning with the stage-specific need for wound healing. The lower layer, containing curcumin-loaded chitosan nanoparticles, shows early anti-inflammatory and antioxidant effects, while the upper layer, with pirfenidone-encapsulated gelatin microspheres, presents late-stage anti-fibrotic activity. The hydrogel’s unique design, with varying degradation rates and mechanical properties in each layer, facilitates cascade drug release in synchrony with wound healing stages. Rapid release of curcumin from the lower layer promotes proliferation by mitigating inflammation and oxidative stress, while the sustained release of pirfenidone from the upper layer inhibits excessive fibrillation during late proliferation and remodeling. In a rat model of full-thickness skin defect, treatment with a double-layer hydrogel drug delivery system accelerated the wound closure, improved scar quality, and promoted the formation of hair follicles. Therefore, this innovative approach lays a promising foundation for future clinical applications in anti-scar therapies, offering a significant advancement in wound care and regenerative medicine. Full article