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109. Exploring the Rumen Microbiota and Serum Metabolite Profile of Hainan Black Goats with Different Body Weights before Weaning.

Author

Zheng, Gang, Wang, Dongxing, Mao, Kai, Wang, Musen, Wang, Jian, Xun, Wenjuan, and Huang, Shuai

Subjects
BODY weight, ANIMAL weaning, BUTYRATES, SATURATED fatty acids, GOATS, UNSATURATED fatty acids
Abstract

Simple Summary: Low body weight is not conducive to the growth and development of mammals in the subsequent stages of weaning. The rumen microbiota plays an important role in the growth, development, production, and health of ruminants. A comprehensive analysis was conducted using a combined 16S rRNA and metabolomics analysis method to determine the impact of the rumen microbiota and serum metabolites on goat kids before weaning weight. This study may help to provide new insights for further regulating the rumen microbiota to improve the body weight of animals. The critical role of the rumen microbiota in the growth performance of livestock is recognized, yet its significance in determining the body weight of goat kids before weaning remains less understood. To bridge this gap, our study delved into the rumen microbiota, serum metabolome, rumen fermentation, and rumen development in goat kids with contrasting body weights before weaning. We selected 10 goat kids from a cohort of 100, categorized into low body weight (LBW, 5.56 ± 0.98 kg) and high body weight (HBW, 9.51 ± 1.01 kg) groups. The study involved sampling rumen contents, tissues, and serum from these animals. Our findings showed that the HBW goat kids showed significant enrichment of VFA-producing bacteria, particularly microbiota taxa within the Prevotellaceae genera (UCG-001, UCG-003, and UCG-004) and the Prevotella genus. This enrichment correlated with elevated acetate and butyrate levels, positively influencing rumen papillae development. Additionally, it was associated with elevated serum levels of glucose, total cholesterol, and triglycerides. The serum metabonomic analysis revealed marked differences in fatty acid metabolism between the LBW and HBW groups, particularly in encompassing oleic acid and both long-chain saturated and polyunsaturated fatty acids. Further correlational analysis underscored a significant positive association between Prevotellaceae_UCG-001 and specific lipids, such as phosphatidylcholine (PC) (22:5/18:3) and PC (20:3/20:1) (r > 0.60, p < 0.05). In summary, this study underscores the pivotal role of the rumen microbiota in goat kids' weight and its correlation with specific serum metabolites. These insights could pave the way for innovative strategies aimed at improving animal body weight through targeted modulation of the rumen microbiota. [ABSTRACT FROM AUTHOR]

Published
2024
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124. MicroRNA-143-3p Suppresses Tumorigenesis by Targeting Catenin-δ1 in Colorectal Cancer [Retraction]

Author

Ding,Xiaohua, Du,Jiying, Mao,Kai, Wang,Xiaoyu, Ding,Yuange, Wang,Fanping, Ding,Xiaohua, Du,Jiying, Mao,Kai, Wang,Xiaoyu, Ding,Yuange, and Wang,Fanping

Abstract

Ding X, Du J, Mao K, Wang X, Ding Y, Wang F. Onco Targets Ther. 2019;12:3255–3265. At the authors request, the Editor and Publisher of OncoTargets and Therapy wish to retract the published article. The authors advised the journal that concerns had been raised regarding the integrity of the data. The concerns related to the duplication of migration and invasion images in Figure 2. Specifically, Figure 2D, HCT116, NC, has been duplicated with the same image for Figure 1E, TPC-1, miR-199a-5p, from Ma et al, 2018 (https://doi.org/10.1016/j.bbrc.2018.02.051). Figure 2D, HCT116, miR-143-3p, has been duplicated with the same image for Figure 3E, K1, si-SNAI1, from Ma et al, 2018 (https://doi.org/10.1016/j.bbrc.2018.02.051). Figure 2D, SW620, NC, has been duplicated with the same image for Figure 3E, TPC-1, si-SNAI1, from Ma et al, 2018 (https://doi.org/10.1016/j.bbrc.2018.02.051). Figure 2D, SW620, miR-143-3p, has been duplicated with the same image for Figure 1E, K1, miR-199a-5p, from Ma et al, 2018 (https://doi.org/10.1016/j.bbrc.2018.02.051); Figure 4a, HGC-27, miR-193a mimic and Figure 6d, HGC-27, miR-193 mimic, from Pan et al, 2021 (https://doi.org/10.1155/2021/2804478). Despite the authors’ assistance, they were unable to explain how the images came to be duplicated, and, as the validity of the published work cannot be verified, we are therefore retracting the article. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.

Published
2023

140. Role of Zerumbone, a Phytochemical Sesquiterpenoid from Zingiber zerumbet Smith, in Maintaining Macrophage Polarization and Redox Homeostasis

Author

Wei-Lan Yeh, Bor-Ren Huang, Guan-Wei Chen, Vichuda Charoensaensuk, Cheng-Fang Tsai, Liang-Yo Yang, Dah-Yuu Lu, Mao-Kai Chen, and Chingju Lin

Subjects
Nutrition and Dietetics, Food Science, zerumbone, microglial cells, macrophage polarization, neuroinflammation, redox homeostasis
Abstract

Macrophages and microglia are highly versatile cells that can be polarized into M1 and M2 phenotypes in response to diverse environmental stimuli, thus exhibiting different biological functions. In the central nervous system, activated resident macrophages and microglial cells trigger the production of proinflammatory mediators that contribute to neurodegenerative diseases and psychiatric disorders. Therefore, modulating the activation of macrophages and microglia by optimizing the inflammatory environment is beneficial for disease management. Several naturally occurring compounds have been reported to have anti-inflammatory and neuroprotective properties. Zerumbone is a phytochemical sesquiterpenoid and also a cyclic ketone isolated from Zingiber zerumbet Smith. In this study, we found that zerumbone effectively reduced the expression of lipocalin-2 in macrophages and microglial cell lines. Lipocalin-2, also known as neutrophil gelatinase-associated lipocalin (NGAL), has been characterized as an adipokine/cytokine implicated in inflammation. Moreover, supplement with zerumbone inhibited reactive oxygen species production. Phagocytic activity was decreased following the zerumbone supplement. In addition, the zerumbone supplement remarkably reduced the production of M1-polarization-associated chemokines CXC10 and CCL-2, as well as M1-polarization-associated cytokines interleukin (IL)-6, IL-1β, and tumor necrosis factor-α. Furthermore, the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 and the production of NO were attenuated in macrophages and microglial cells supplemented with zerumbone. Notably, we discovered that zerumbone effectively promoted the production of the endogenous antioxidants heme oxygenase-1, glutamate–cysteine ligase modifier subunit, glutamate–cysteine ligase catalytic subunit, and NAD(P)H quinone oxidoreductase-1 and remarkably enhanced IL-10, a marker of M2 macrophage polarization. Endogenous antioxidant production and M2 macrophage polarization were increased through activation of the AMPK/Akt and Akt/GSK3 signaling pathways. In summary, this study demonstrated the protective role of zerumbone in maintaining M1 and M2 polarization homeostasis by decreasing inflammatory responses and enhancing the production of endogenous antioxidants in both macrophages and microglia cells. This study suggests that zerumbone can be used as a potential therapeutic drug for the supplement of neuroinflammatory diseases.

Published
2022
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142. Experimental observation of effects of acupoints, cone numbers and durations of moxibustion with different moxibustion methods on skin surface and inside temperature

Author

Xiong Luo-jie, Li Wei, Tian Yue-feng, Mao Kai-rong, Fang Hui, Zhi Bo-yuan, and Sun Ni-na

Subjects
Maximum temperature, business.industry, medicine.medical_treatment, Skin temperature, Moxibustion, Zusanli, Animal science, Complementary and alternative medicine, Skin surface, Acupuncture, Medicine, Temperature difference, business, Direct moxibustion
Abstract

To observe the effects of acupoints, cone numbers and durations of moxibustion with different moxibustion methods on skin surface and inside temperature, and to provide references for the clinical standardization of moxibustion amount. The 42 big-ear white rabbits were divided into 6 groups according to the random number table method, a 1-cone direct moxibustion group, a 2-cone direct moxibustion group, a 3-cone direct moxibustion group, a 1-cone herbal cake-partitioned moxibustion group, a 2-cone herbal cake-partitioned moxibustion group, and a 3-cone herbal cake-partitioned moxibustion group, with 7 rabbits in each group. Shenque (CV 8), Shenshu (BL 23) and Zusanli (ST 36) were used in each group, but the moxibustion methods, cone numbers and durations of moxibustion were different. Rabbits in each group received moxibustion once every other day for 5 times in total. During the intervention, a thermoelectricity coupled probe and a temperature recorder were used to record the real-time acupoint skin temperature and the temperature at different time points, so as to observe, analyze and process the real-time changes in the temperature difference between the surface and inside of acupoint skin. For herbal cake-partitioned moxibustion, the best temperature for cone changing was (46.38±0.51) °C when the highest surface temperature was (49.20±0.52) °C; the multi-factor comparison of acupoint × cone number × time and acupoint × moxibustion method × time showed that time × acupoint, time × moxibustion method and cone number × acupoint had interactive effects (all P

Published
2021

143. Erratum to: An Examination of the Predictability of Tropical Cyclone Genesis in High-Resolution Coupled Models with Dynamically Downscaled Coupled Data Assimilation Initialization

Author

Li, Mingkui, Zhang, Shaoqing, Wu, Lixin, Lin, Xiaopei, Chang, Ping, Danabasoglu, Gohkan, Wei, Zhiqiang, Yu, Xiaolin, Hu, Huiqin, Ma, Xiaohui, Ma, Weiwei, Zhao, Haoran, Jia, Dongning, Liu, Xin, Mao, Kai, Ma, Youwei, Jiang, Yingjing, Wang, Xue, Liu, Guangliang, and Chen, Yuhu

Published
2020
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