Age-related nomograms of serum anti-Mullerian hormone levels in female monkeys: Comparison of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) monkeys

Long, Hui; Wang, Yan; Wang, Li; Lu, Yong; Nie, Yanhong; Cai, Yijun; Liu, Zhen; Jia, Miaomiao; Lyu, Qifeng; Kuang, Yanping; Sun, Qiang

doi:10.1016/j.ygcen.2018.09.012

Cited by 10 publications

(9 citation statements)

References 45 publications

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“…All 16 cynomolgus macaques, as listed in supplemental data, were randomly selected from different enclosures. In accordance with previous reports [30], the 16 macaques were assigned into three age groups: young (2-4 years), adult (5-15 years) and old (17-20 years). All macaques were housed in free enclosures without manual intervention measuring 8 × 3 × 3 m (L × W × H), were provided with water ad libitum, and were fed daily with fresh fruit, vegetables and compound high-nutrition monkey food [29].…”

Section: Site and Sample Collectionmentioning

confidence: 89%

Age-related changes in microbial composition and function in cynomolgus macaques

Duan

Yin

Li³

et al. 2019

Aging

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Age can significantly affect human physiology and disease risk. Recent studies have shown that age may affect the composition and function of the gut microbiota, but the underlying mechanisms remain largely unknown. Non-human primates are an ideal model for uncovering how age shapes the gut microbiota, as their microbial composition is highly similar to that of humans and is not easily affected by confounding factors. Here, using the 16S rRNA and metagenomic sequencing methods, we characterized the microbial phenotypes of 16 female cynomolgus macaques from three age groups (young, adult and old). Our findings revealed significant differences in microbial composition among the three groups. With increased age, the relative abundances of Veillonellaceae, Coriobacteriaceae and Succinivibrionaceae were significantly increased, Ruminococcaceae and Rikenellaceae were significantly decreased at the family level. Functional enrichment showed that genes that differed among the three groups were mainly involved in arginine biosynthesis, purine metabolism and microbial polysaccharides metabolism. Moreover, CAZymes corresponding to polysaccharide degrading activities were also observed among the three groups. In conclusion, we characterized the composition and function of the gut microbiota at different ages, and our findings provide a new entry point for understanding the effects of age on the human body. www.aging-us.com 12081 AGING milk, the increased abundance of Firmicutes represents gradual maturation of the gut microbiota [3]. The dynamic changes in the microbial composition tend to be stable by 3 years, which is highly similar to that in adults [4]. In adults, the microbial composition predominantly comprises the phyla Bacteroidetes and Firmicutes [5]. By contrast, the microbial composition in older individuals displays a higher Bacteroidetes ratio compared with their younger counterparts [6]. Evidence has been reported that the microbial composition may affect the rate of aging [7, 8]. Moreover, changes in gut physiology are modulated by age, such as degenerative changes in the enteric nervous system and gastric dysmotility, which have profound effects on the composition, diversity and functional characteristics of the gut microbiota [9]. These findings in humans and rodents provide valuable clues for further research. However, given that microbial composition is vulnerable to various confounding factors, such as social status, lifestyle, dietary and genetic diversity, potential bias cannot be completely ruled out. Moreover, using the 16S ribosomal RNA (rRNA) sequencing method, previous studies focused on changes in microbial composition. Further studies using shotgun metagenomics methods are required to identify the functional activity linked with age.

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Section: Site and Sample Collectionmentioning

confidence: 89%

Age-related changes in microbial composition and function in cynomolgus macaques

Duan

Yin

Li³

et al. 2019

Aging

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“…AMH prevents PFP depletion by reducing phosphorylation and maintaining activation of FOXO3a (Llarena and Hine, 2021). AMH levels are relatively stable across the menstrual cycle and no seasonal difference in AMH levels is observed (Long et al, 2018). With the decrease in the number of preantral follicles and small antral follicles, AMH serum levels become diminished and will invariably become undetectable near menopause, therefore, serum AMH levels are the best available biomarker of a woman's ovarian reserve and may provide an index of age at menopause (Birch Petersen et al, 2015;Freeman et al, 2012;Tehrani et al, 2022;Toner and Seifer, 2013).…”

Section: Biomarkers Of Ovarian Agingmentioning

confidence: 93%

Biomarkers of aging

Bao

Cao

Chen

et al. 2023

Sci. China Life Sci.

153

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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.

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“…AMH levels in rhesus monkeys were shown to be significantly correlated with age [43]. A decrease in AMH represented aging ovaries and declining fertility [44].…”

Section: Discussionmentioning

confidence: 99%

Age- and sex-based hematological assays in rhesus monkeys

liu

Zhu

Jin

et al. 2023

Preprint

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Objective: Currently, increasing use of rhesus monkeys has been observed in biomedical research, with their blood parameter assays acting as critical indicators. Since age and sex can influence blood parameters, establishing reference intervals for such parameters based on age and sex becomes vital along with identifying the effect of age and sex on those parameters. Methods: A total of 1385 rhesus monkeys were randomly chosen from the Kunming Institute of Zoology, Chinese Academy of Sciences. The rhesus monkeys were aged 0-32 years, which included all age ranges. Ketamine was used to anesthetize rhesus monkeys, followed by the collection of their blood samples by trained veterinarians. Blood aliquots were stored in EDTA anticoagulant and anticoagulant-free tubes. Subsequently, the serum was separated using centrifugation at 1600 g for 15 min, followed by blood biochemical analysis. It included routine blood examination (white blood cells, red blood cells, platelets, etc.), liver and kidney function test (alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, etc.), creatine kinase (CK), glucose lipids, inflammatory factors (Interleukin 6, homocysteine, C-reactive protein), anemia indicators, bone metabolism, anti-Mullerian hormone (AMH), etc. along with the analysis of the effect of age and sex on these indicators. Comparisons between groups were performed using ANOVA while comparisons within groups were performed by the t-test. Correlations between 1 #These authors contributed equally to this work and were co-first authors. 2 *These authors are co-corresponding authors. two variables were tested and p<0.05 was considered statistically significant. Results: We established baseline indices for hematological and biochemical parameters based on age and sex, separately, and found significant impacts of age, sex, and age-sex interactions on blood parameters. Among different age groups, significant differences were found in white blood cell (WBC), neutrophil percentage (NEUT%), lymphocyte percentage (LYMPH%), eosinophil percentage (EO%), lymphocyte (LYMPH#), eosinophil (EO#), mean corpuscular volume (MCV), red blood cell volume distribution width-CV (RDW-CV), platelets (PLT), mean platelet volume (MPV), plate volume distribution width (PDW), plateletcrit (PCT), total protein (TP), albumin (ALB), globulin (GLB), albumin:globulin ratio (A/G), alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin (T-BIL), gamma-glutamyl transferase (r-GGT), blood urea nitrogen ( UREA), creatinine (CREA), glucose (GLU), creatine kinase (CK), triglycerides (TG), low-density lipoprotein (LDL-C), homocysteine (XHCY), interleukin 6 (IL-6), folic acid (FOL), vitamin B12 (VB12), 25 hydroxyvitamin D (VITD-T), parathyroid hormone (PTH) and anti-Müllerian tubular hormone (AMH). Additionally, significant differences were observed in red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean platelet volume (MPV), albumin (ALB), blood urea nitrogen (UREA), creatinine (CREA), glucose (GLU), total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), homocysteine (XHCY), and 25 hydroxyvitamin D (VITD-T) between the two sexes. An age-sex interaction exerted a significant effect on white blood cell (WBC), neutrophil (NEUT#), mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC), plate volume distribution width (PDW), globulin (GLB), alkaline phosphatase (ALP), creatinine (CREA), total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), homocysteine (XHCY), interleukin 6 (IL-6), vitamin B12 (VB12), 25 hydroxyvitamin D (VITD-T). However, neither age, sex, and age-sex interactions exerted significant effects on monocyte percentage (MONO%), mean corpuscular hemoglobin (MCH), red blood cell volume distribution width-SD (RDW- SD), C-reactive protein (CRP), and calcitonin (CT). Conclusion: Our study investigated the blood parameters of rhesus monkeys to provide a reference basis for rhesus monkey-related scientific experimental research.

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Age-related nomograms of serum anti-Mullerian hormone levels in female monkeys: Comparison of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) monkeys

Cited by 10 publications

References 45 publications

Age-related changes in microbial composition and function in cynomolgus macaques

Age-related changes in microbial composition and function in cynomolgus macaques

Biomarkers of aging

Age- and sex-based hematological assays in rhesus monkeys

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