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Peng H, Chen P, Guo R, Zhou Z, Chen Y, Xu P, Su H, Xiao Y, Jiang H. Regulation of the growth performance and the gastrointestinal microbiota community by the addition of defective pear fermentation to feed of small-tailed Han sheep. Front Microbiol 2024; 15:1358033. [PMID: 38638905 PMCID: PMC11024308 DOI: 10.3389/fmicb.2024.1358033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/18/2024] [Indexed: 04/20/2024] Open
Abstract
This study investigated the effects of defective pear fermentation (DPF) diets on growth performance and gastrointestinal microbial communities in 60 healthy male small-tailed Han sheep, aged 90 days. The sheep were randomly divided into four groups, each consisting of three replicates with five sheep per replicate. Initially, all groups received a basal diet for seven days during the adaptation stage. Subsequently, for 60 days, group C (control) was fed a basal diet, group X received a basal diet with 2% DPF, group Y had a basal diet with 4% DPF, and group Z was fed a basal diet with 6% DPF. The results indicated that group Y experienced a significant increase in average daily gain (ADG) and average daily feed intake (ADFI). The addition of DPF significantly elevated the levels of GSH-Px and notably reduced MDA content compared to group C. Analysis of gastrointestinal microbiota showed that groups receiving DPF had increased relative abundances of Lachnospiraceae_NK3A20_group, norank_f p-2534-18B5_gut_group, Acetitomaculum, Actinobacteriota, Bacteroidota and Ruminococcus_gauvreauii_group, and decreased abundances of Proteobacteria, Prevotella, Staphylococcus, and Psychrobacter compared to group C. Group X exhibited the highest relative abundance of Olsenella, while group Y showed a significant increase in unclassified_f Lachnospiraceae compared to the other groups. Bacterial function prediction indicated that pathways related to energy metabolism were more prevalent in group X and Y. This study preliminarily confirms the feasibility of using DPF as feed additives, providing a foundation for further research and evaluation of DPF's application in animal production.
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Affiliation(s)
- Hongxin Peng
- Key Laboratory of Tarim University Husbandry Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
| | - Pinpin Chen
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Rui Guo
- Key Laboratory of Tarim University Husbandry Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
| | - Zheng Zhou
- Key Laboratory of Tarim University Husbandry Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
| | - Yafei Chen
- Key Laboratory of Tarim University Husbandry Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
| | - Ping Xu
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Huawei Su
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yuncai Xiao
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Hui Jiang
- Key Laboratory of Tarim University Husbandry Science and Technology, College of Animal Science and Technology, Tarim University, Alar, China
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Gao Y, Wang M, Wang R, Jiang J, Hu Y, Wang W, Wang Y, Li H. The predictive value of the hs-CRP/HDL-C ratio, an inflammation-lipid composite marker, for cardiovascular disease in middle-aged and elderly people: evidence from a large national cohort study. Lipids Health Dis 2024; 23:66. [PMID: 38429790 PMCID: PMC10908181 DOI: 10.1186/s12944-024-02055-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 02/20/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND AND AIMS Cardiovascular disease (CVD) is associated with inflammation and abnormal lipid metabolism. However, a single inflammatory index or a single lipid index cannot accurately predict the prognosis of CVD independently because it is prone to be affected by various confounding factors. METHODS This population-based cohort study included 6,554 participants from the China Health and Retirement Longitudinal Study (CHARLS) to investigate correlations. In the present study, the occurrence of CVD events such as stroke and heart disease was evaluated by considering self-reported diagnoses at the beginning of the study and during wave 4, and a restricted cubic spline model was used to investigate potential nonlinear relationships in addition to multivariate logistic regression models. Stratified analyses were performed to examine how sociodemographic characteristics may influence the results. RESULTS Seven years of follow-up (2011-2018) revealed that 786 people (11.99%) developed CVD. According to the adjusted model, the high-sensitivity C-reactive protein (hs-CRP)-to-high-density lipoprotein cholesterol (HDL-C) ratio is a contributing factor to CVD risk (OR 1.31, 95% CI 1.05-1.64). In addition, a nonlinear relationship was observed between the hs-CRP/HDL-C ratio and the occurrence of new CVD, stroke, or cardiac issues (Poverall <0.05, Pnonlinear <0.05). Moreover, noteworthy associations between the hs-CRP/HDL-C ratio and age were detected in the stratified analysis (P = 0.048), indicating that younger participants had more negative effects of a high hs-CRP/HDL-C ratio. CONCLUSIONS According to the present cohort study, a high hs-CRP/HDL-C ratio is a significant risk factor for CVD, new stroke, and heart problems. Early intervention in patients with increased hs-CRP/HDL-C ratios may further reduce the incidence of CVD, in addition to focusing on independent lipid markers or independent inflammatory markers.
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Affiliation(s)
- Yu Gao
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
- Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Ministry of Education, Beijing, 100029, China
- Department of Traditional Chinese Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Miyuan Wang
- School of public health, Huazhong University of Science and Technology, Hubei, 430074, China
| | - Ruiting Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Jinchi Jiang
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yueyao Hu
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Wei Wang
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
- Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Ministry of Education, Beijing, 100029, China.
- Guangzhou University of Chinese Medicine, Guangdong, 510006, China.
| | - Yong Wang
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
- Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Ministry of Education, Beijing, 100029, China.
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Haijing Li
- College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
- Key Laboratory of TCM Syndrome and Formula, Beijing University of Chinese Medicine, Ministry of Education, Beijing, 100029, China.
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Rahmani F, Asgari S, Azizi F, Hadaegh F. The association of ideal cardiovascular health metrics and incident hypertension among an urban population of Iran: a decade follow-up in Tehran Lipid and Glucose Study. J Hum Hypertens 2024; 38:267-276. [PMID: 38110597 DOI: 10.1038/s41371-023-00881-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 12/20/2023]
Abstract
We aimed to determine the association between ideal cardiovascular health metrics (ICVHM) and the incidence of hypertension among Iranian adults. The study population included 5409 Iranian adults aged ≥20 years (2088 men) without hypertension (applying the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) guideline) at baseline. The ICVHM was defined according to the AHA's 2020 impact goals, excluding total cholesterol was replaced by non-HDL cholesterol (non-HDL-C). Multivariable Cox proportional hazards regression analysis was done to estimate the hazard ratios (HRs) for ICVHM both as continuous and categorical variables. During a median 8.5-year follow-up, 2972 new cases of hypertension were identified (men: 1,287). Non-HDL-C < 130 mg/dL in men [HR (95% CI): 0.75(0.65-0.86)] and fasting plasma glucose(FPG) < 100 mg/dL in women[HR (95% CI): 0.79(0.64-0.97)], and among both genders, being normal/overweigth status (compared to obese) and blood pressure <120/80 mmHg were associated with a lower risk for hypertension. Additionally, in both gender, a 1-point increase in the number of global ICVHM decreased the risk of hypertension by more than 10%, and having ≥5 vs. <2 ICVHM, were associated with a lower risk of hypertension by 30% (all p values < 0.05). Applying the JNC 7 guideline, the association between ICVHM, with incident hypertension, were generally similar. Having a higher number of ICVHM was associated with a lower risk of incident hypertension, using both 2017 ACC/AHA and JNC 7 guidelines, mostly attributable to keeping the ideal status of body mass index, non-HDL-C, and FPG.
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Affiliation(s)
- Fatemeh Rahmani
- Clinical Research and Development Center, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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