Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant. Supporting Information The supporting information is available online at 10.1007/s11427-023-2305-0. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
Pituitary adenylate cyclase-activating polypeptide (PACAP) is a neuropeptide originally purified from ovine hypothalamus for its potent activity to stimulate cAMP production. However, its presence and action have also been demonstrated in various peripheral tissues including the ovary. In the zebrafish, two forms of PACAP (PACAP(38)-1, adcyap1a; and PACAP(38)-2, adcyap1b) and three PACAP receptors (PAC(1)-R, adcyap1r1; VPAC(1)-R, vipr1; and VPAC(2)-R, vipr2) were all expressed in the ovary. Interestingly, although both follicle cells and oocytes express adcyap1b, the expression of adcyap1a was restricted to the oocytes only. Among the three receptors, adcyap1r1 and vipr2 were expressed in the oocytes, whereas the expression of vipr1 was exclusively located in the follicle cells. Temporal expression analysis of PACAP ligands and receptors during folliculogenesis suggested that PACAP might play differential roles in regulating follicle growth and maturation through different receptors. The two receptors that are expressed in the oocyte (adcyap1r1 and vipr2) showed a significant increase in expression at the transition from the primary growth (PG) stage to previtellogenic (PV) stage and their levels maintained high during follicle growth. However, when the follicle development approached full-grown (FG) stage, these two receptors both decreased significantly in expression. In contrast, vipr1, the receptor expressed in the follicle cells, showed little change in expression at the PG-PV transition and afterwards during follicle growth; however, its expression surged dramatically at the FG stage prior to oocyte maturation. Based on these results, we hypothesized that PACAP might play dual roles in regulating follicle growth and maturation through different receptors located in different compartments. PACAP may stimulate oocyte growth but block its maturation in early follicles by acting directly on the oocyte via PAC1-R and VPAC2-R, whose expression is dominant in growth phase; however, PACAP may promote oocyte maturation in the maturation phase via VPAC1-R on the follicle cells, whose expression surges in FG follicles prior to maturation and is consistently high in the follicles undergoing final maturation. This hypothesis was further supported by the observation that PACAP promoted maturation of follicle-enclosed oocytes but suppressed spontaneous maturation of denuded oocytes in vitro. This study provides strong evidence for a PACAP-mediated signaling network in the zebrafish ovarian follicle, which may play roles in orchestrating follicle growth and maturation via different types of receptors located in different compartments of the follicle.
The identification of the differential expression of genes in the ovaries of egg-laying and prelaying Zi geese is required to improve the laying performance of the geese. In the present study, suppression subtractive hybridization and reverse dot-blot were employed to identify such genes, using the ovary as a model. Furthermore, expression profiling of estrogen receptor 1, estrogen receptor 2, follicle stimulating hormone receptor, prolactin receptor, ferritin H chain, and ovary differentially expressed unknown gene 08 in ovaries from geese was performed by quantitative real-time PCR. Total RNA from the ovaries of laying and prelaying Zi geese was pooled and the mRNA was isolated. The cDNA that was reverse-transcribed from the ovarian mRNA of the prelaying geese was subtracted from the cDNA isolated from the laying geese. Four hundred sixty-five clones containing putative differentially expressed gene fragments were further identified by reverse dot-blot. Ninety-seven clones were subjected to sequencing and further analysis. Sequence analysis showed that the expression of 18 known (including a mitochondrial gene) and 8 unknown gene fragments was higher in the ovaries of laying geese compared with prelaying geese. Seventeen of the known genes encode proteins that belong to groups involved with binding, catalytic activity, enzyme regulatory activity, signal transducer activity, structural molecule, and transporter activity. The results of the quantitative real-time PCR showed that the expression of estrogen receptor 1, estrogen receptor 2, follicle stimulating hormone receptor, prolactin receptor, ferritin H chain, and ovary differentially expressed unknown gene 08 was higher in the ovaries of the laying geese than in those of the prelaying geese (P<0.05). These differentially expressed genes may be relevant to the progression of prelaying geese to the egg-laying stage. Further study is required to elucidate the molecular mechanism that controls egg-laying in geese, to improve the productivity of laying geese.
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