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In Brief: The metabolic processes of the gestation period in pandas remain poorly understood. Our study comprehensively characterizes the metabolism of giant pandas during gestation and proposes arginine and histidine as potential novel biomarkers for detecting the pregnancy state of giant pandas., Abstract: There has been remarkable progress in the conservation and reproduction of giant pandas. However, the physiology of the gestation period in pandas remains poorly understood. The metabolic processes from estrus to pregnancy are dynamic and precisely regulated, playing a crucial role in pregnancy and related dysfunctions. In this study, we conducted a metabolomic analysis of 37 blood samples collected from pandas in estrus, acyclic, and potential pregnant states, employing rigorous screening to minimize the influence of diet. Our findings suggest that a reduced appetite can serve as an indicator for evaluating implantation time, representing a characteristic response to pregnancy and aiding in the prediction of delivery time in pregnant pandas. Metabolomic results indicate great metabolism variation from estrus to pregnancy, highlighting the association between amino acid metabolism and pregnancy outcomes. Compared to other pandas, individuals who successfully bred exhibit significantly elevated levels of arginine and histidine, even 2 months before experiencing a reduced appetite. Furthermore, the lipid profile undergoes distinct dynamic changes only in estrus samples. In summary, our study comprehensively characterizes the metabolism of giant pandas during gestation and proposes arginine and histidine as potential novel biomarkers for detecting the pregnancy state of giant pandas.

Introduction: Toxoplasma gondii, a globally zoonotic protozoan parasite, infects most warm-blooded animals including the giant panda, and poses a serious threat to the giant panda conservation. However, the seroprevalence and the risk factors for toxoplasmosis in giant pandas are unknown. Here we aimed to determine the seroprevalence of T. gondii in the captive population of giant pandas and analyze the factors associated with the increased risk of infection., Methods: A total of 203 serum samples were collected from 157 (95 females and 62 males) captive giant pandas from 2007 to 2022, antibodies against T. gondii were screened using commercial ELISA and MAT kits., Results: The results showed 56 (35.67%) giant pandas were seropositive, age and transfer history between institutions were identifified as risk factors for T. gondii infection. It is suggested that age-related seroprevalence was the main factor, and housing multiple species in the same environment may increase the chance of cross-infection of T. gondii ., Discussion: This study can provide research data for developing policies for the prevention and control of T. gondii and protecting the health of captive giant pandas and other wildlife., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Yue, Yang, Fan, Lan, Huang, Zhang, Li, Liao, Ayala, Wu, Liu, Zheng, Li, Zhang, Su, Yan, Hou and Liu.)

Umbilical cord-derived mesenchymal stem cells (UC-MSCs) constitute a class of cells with significant self-renewal and multilineage differentiation properties and have great potential for therapeutic applications and the genetic conservation of endangered animals. In this study, we successfully isolated and cultured UC-MSCs from the blood vessels of giant panda umbilical cord (UC). The cells were arranged in a vortex or cluster pattern and exhibited a normal karyotype, showing the morphological characteristics of fibroblasts. In addition, we found that basic fibroblast growth factor (bFGF) and epidermal growth factor (EGF) promoted cell proliferation, whereas stem cell factor (SCF) did not promote cell proliferation. Cultured UC-MSCs were negative for CD34 (hematopoietic stem cell marker) and CD31 (endothelial cell marker), but positive for MSC markers (CD44, CD49f, CD105, and CD73) and stem cell markers (KLF4, SOX2, and THY1). Similar to other MSCs, giant panda UC-MSCs have multiple differentiation ability and can differentiate into adipocytes, osteoblasts and chondrocytes. Giant panda UC-MSCs are new resources for basic research as cell models following their differentiation into different cell types and for future clinical treatments of giant panda diseases., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Human and animal infections of Enterocytozoon bieneusi (E. bieneusi) have consistently been reported worldwide, garnering public attention; however, the molecular epidemiology of E. bieneusi in the giant panda remains limited. We surveyed captive giant pandas in China for the presence of E. bieneusi by using PCR and sequence analysis of the ribosomal internal transcribed spacer (ITS) revealing a 34.5% positive rate, with seven known genotypes (SC02, EpbC, CHB1, SC01, D, F, and Peru 6) and five novel genotypes (SC04, SC05, SC06, SC07, and SC08) identified. We similarly analyzed water samples, and E. bieneusi was detected in two samples, with genotype SC02 identified. Phylogenetic analysis revealed that CHB1 did not cluster with any recognized group, while the remaining genotypes belonged to group 1. The predominance of zoonotic group 1 genotypes indicates a public health threat that giant pandas could spread E. bieneusi to humans. The identification of E. bieneusi in water samples suggests giant pandas could contribute to water contamination. Effective control measures are therefore needed to minimize the contamination of the water and prevent a human microsporidiosis outbreak.

Background: Most studies on Enterocytozoon bieneusi are conducted based on the internal transcribed spacer (ITS) region of the rRNA gene, whereas some have examined E. bieneusi population structures. Currently, the population genetics of this pathogen in giant panda remains unknown. The objective of this study was to determine the E. bieneusi population in captive giant pandas in China., Results: We examined 69 E. bieneusi-positive specimens from captive giant pandas in China using five loci (ITS, MS1, MS3, MS4 and MS7) to infer E. bieneusi population genetics. For multilocus genotype (MLG) analysis of E. bieneusi-positive isolates, the MS1, MS3, MS4, and MS7 microsatellite and minisatellite loci were amplified and sequenced in 48, 45, 50 and 47 specimens, respectively, generating ten, eight, nine and five types. We successfully amplified 36 specimens and sequenced all five loci, forming 24 MLGs. Multilocus sequence analysis revealed a strong and significant linkage disequilibrium (LD), indicating a clonal population. This result was further supported by measurements of pairwise intergenic LD and a standardized index of association (I S A ) from allelic profile data. The analysis in STRUCTURE suggested three subpopulations in E. bieneusi, further confirmed using right's fixation index (F ST ). Subpopulations 1 and 2 exhibited an epidemic structure, whereas subpopulation 3 had a clonal structure., Conclusions: Our results describe E. bieneusi population genetics in giant pandas for the first time, improving the current understanding E. bieneusi epidemiology in the studied region. These data also benefit future studies exploring potential transmission risks from pandas to other animals, including humans.

Enterocytozoon bieneusi is an obligate eukaryotic intracellular parasite that infects a wide variety of vertebrate and invertebrate hosts. Although considerable research has been conducted on this organism, relatively little information is available on the occurrence of E. bieneusi in captive Asiatic black bears. The present study was performed to determine the prevalence, genetic diversity, and zoonotic potential of E. bieneusi in captive Asiatic black bears in zoos in southwestern China. Fecal specimens from Asiatic black bears in four zoos, located in four different cities, were collected and analyzed for the prevalence of E. bieneusi. The average prevalence of E. bieneusi was 27.4% (29/106), with the highest prevalence in Guiyang Zoo (36.4%, 16/44). Altogether, five genotypes of E. bieneusi were identified among the 29 E. bieneusi-positive samples, including three known genotypes (CHB1, SC02, and horse2) and two novel genotypes named ABB1 and ABB2. Multi-locus sequence typing using three microsatellites (MS1, MS3, and MS7) and one minisatellite (MS4) revealed V, III, V, and IV genotypes at these four loci, respectively. Phylogenetic analysis showed that the genotypes SC02 and ABB2 were clustered into group 1 of zoonotic potential, the genotypes CHB1 and ABB1 were clustered into a new group, and the genotype horse2 was clustered into group 6 of unclear zoonotic potential. In conclusion, this study identified two novel E. bieneusi genotypes in captive Asiatic black bears, and used microsatellite and minisatellite markers to reveal E. bieneusi genetic diversity. Moreover, our findings show that genotypes SC02 (identified in humans) and ABB2 belong to group 1 with zoonotic potential, suggesting the risk of transmission of E. bieneusi from Asiatic black bears to humans and other animals., Competing Interests: The authors have declared that no competing interests exist.

A milk sample from a captive giant panda (Ailuropoda melanoleuca), obtained at 13 days postpartum, contained 7.1% protein, 1.6% carbohydrate, 10.4% lipid and 0.9% ash. The ratio of casein to whey proteins was 5.0:2.1. Sodium dodecyl sulfate polyacrylamide electrophoresis (SDS-PAGE) of the whey protein fraction showed the presence of at least two major proteins other than alpha-lactalbumin and beta-lactoglobulin. SDS-PAGE and urea-gel electrophoresis showed that alphas-casein is not a major component. The proportions of triacylglycerol, cholesterol, cholesterol esters and phospholipid were 90.5, 5.3, 0.96 and 3.1%, of the total lipid, respectively. The dominant saccharide in the panda milk was Gal(alpha1-3)Gal(beta1-4)Glc (isoglobotriose). The milk contained, in addition, lesser amounts of lactose, Gal(alpha1-3)Gal(beta1-4)[Fuc(alpha1-3)]Glc (fucosyl isoglobotriose), Neu5Ac(alpha2-3)Gal(beta1-4)Glc (3'-N-acetylneuraminyl-lactose), Neu5Ac(alpha2-6)Gal(beta1-4)Glc (6'-N-acetylneuraminyl-lactose) and Neu5Ac(alpha2-3)Gal(beta1-4)[Fuc(alpha1-3)]Glc.