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Sun W. Insulin may promote SARS-CoV-2 cell entry and replication in diabetes patients. Med Hypotheses 2023; 170:110997. [PMID: 36540082 PMCID: PMC9756566 DOI: 10.1016/j.mehy.2022.110997] [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: 10/31/2022] [Revised: 11/28/2022] [Accepted: 12/02/2022] [Indexed: 12/23/2022]
Abstract
Patients with diabetes often have severe hyperglycemia triggered by novel coronavirus disease 2019 (COVID-19). Insulin treatment should be the main approach to the control of acute hyperglycemia in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, clinical investigation found that insulin treatment is associated with a significant increase in mortality risk in patients with diabetes and SARS-CoV-2 infection. The reason for this high mortality rate remains obscure. Previous studies have demonstrated that insulin is an activator of Na+/H+ exchanger (NHE) which could decrease extracellular pH and increase intracellular pH and glycolysis. Here, the author emphasizes insulin may contribute to SARS-CoV-2 cell entry and multiplication in host cells through activation of Na+/H+ exchange. Additionally, the inhibition of Na+ /H+ exchange activity or glycolytic flux can result in reduced mortality in patients with COVID-19 and diabetes mellitus during insulin treatment.
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Affiliation(s)
- Wenwu Sun
- Department of Respiratory Medicine, General Hospital of Northern Theatre Command, No. 83 Wenhua Rd, Shenhe District, Shenyang 110016, China
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Abdelrahman M, Wang W, Shaukat A, Kulyar MFEA, Lv H, Abulaiti A, Yao Z, Ahmad MJ, Liang A, Yang L. Nutritional Modulation, Gut, and Omics Crosstalk in Ruminants. Animals (Basel) 2022; 12:ani12080997. [PMID: 35454245 PMCID: PMC9029867 DOI: 10.3390/ani12080997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Over the last decade, animal nutrition science has been significantly developed, supported by the great advancements in molecular technologies. For scientists, the present "feedomics and nutrigenomics" era continues to evolve and shape how research is designed, performed, and understood. The new omics interpretations have established a new point of view for the nutrition–gene interaction, integrating more comprehensive findings from animal physiology, molecular genetics, and biochemistry. In the ruminant model, this modern approach addresses rumen microbes as a critical intermediate that can deepen the studies of diet–gut interaction with host genomics. The present review discusses nutrigenomics’ and feedomics’ potential contribution to diminishing the knowledge gap about the DNA cellular activities of different nutrients. It also presents how nutritional management can influence the epigenetic pathway, considering the production type, life stage, and species for more sustainable ruminant nutrition strategies. Abstract Ruminant nutrition has significantly revolutionized a new and prodigious molecular approach in livestock sciences over the last decade. Wide-spectrum advances in DNA and RNA technologies and analysis have produced a wealth of data that have shifted the research threshold scheme to a more affluent level. Recently, the published literature has pointed out the nutrient roles in different cellular genomic alterations among different ruminant species, besides the interactions with other factors, such as age, type, and breed. Additionally, it has addressed rumen microbes within the gut health and productivity context, which has made interpreting homogenous evidence more complicated. As a more systematic approach, nutrigenomics can identify how genomics interacts with nutrition and other variables linked to animal performance. Such findings should contribute to crystallizing powerful interpretations correlating feeding management with ruminant production and health through genomics. This review will present a road-mapping discussion of promising trends in ruminant nutrigenomics as a reference for phenotype expression through multi-level omics changes.
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Affiliation(s)
- Mohamed Abdelrahman
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- Animal Production Department, Faculty of Agriculture, Assuit University, Asyut 71515, Egypt
| | - Wei Wang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Aftab Shaukat
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | | | - Haimiao Lv
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Adili Abulaiti
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Zhiqiu Yao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Muhammad Jamil Ahmad
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Aixin Liang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Liguo Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
- Correspondence: ; Tel.: +86-138-7105-6592
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Mani S, Aiyegoro OA, Adeleke MA. Association between host genetics of sheep and the rumen microbial composition. Trop Anim Health Prod 2022; 54:109. [PMID: 35192073 DOI: 10.1007/s11250-022-03057-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022]
Abstract
A synergy between the rumen microbiota and the host genetics has created a symbiotic relationship, beneficial to the host's health. In this study, the association between the host genetics and rumen microbiome of Damara and Meatmaster sheep was investigated. The composition of rumen microbiota was estimated through the analysis of the V3-V4 region of the 16S rRNA gene, while the sheep blood DNA was genotyped with Illumina OvineSNP50 BeadChip and the genome-wide association (GWA) was analyzed. Sixty significant SNPs dispersed in 21 regions across the Ovis aries genome were found to be associated with the relative abundance of seven genera: Acinetobacter, Bacillus, Clostridium, Flavobacterium, Prevotella, Pseudomonas, and Streptobacillus. A total of eighty-four candidate genes were identified, and their functional annotations were mainly associated with immunity responses and function, metabolism, and signal transduction. Our results propose that those candidate genes identified in the study may be modulating the composition of rumen microbiota and further indicating the significance of comprehending the interactions between the host and rumen microbiota to gain better insight into the health of sheep.
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Affiliation(s)
- Sinalo Mani
- GI Microbiology and Biotechnology Unit, Agricultural Research Council- Animal Production, Private Bag X02, Irene, 0062, South Africa.,Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Westville, P/Bag X54001, Durban, 4000, South Africa
| | - Olayinka Ayobami Aiyegoro
- GI Microbiology and Biotechnology Unit, Agricultural Research Council- Animal Production, Private Bag X02, Irene, 0062, South Africa. .,Research Unit for Environmental Sciences and Management, North West University, Potchefstroom, 2520, South Africa.
| | - Matthew Adekunle Adeleke
- Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Westville, P/Bag X54001, Durban, 4000, South Africa
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Elolimy AA, Abdel-Hamied E, Hu L, McCann JC, Shike DW, Loor JJ. RAPID COMMUNICATION: Residual feed intake in beef cattle is associated with differences in protein turnover and nutrient transporters in ruminal epithelium. J Anim Sci 2019; 97:2181-2187. [PMID: 30806449 DOI: 10.1093/jas/skz080] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 02/21/2019] [Indexed: 12/20/2022] Open
Abstract
Residual feed intake (RFI) is a widely used measure of feed efficiency in cattle. Although the precise biologic mechanisms associated with improved feed efficiency are not well-known, most-efficient steers (i.e., with low RFI coefficient) downregulate abundance of proteins controlling protein degradation in skeletal muscle. Whether cellular mechanisms controlling protein turnover in ruminal tissue differ by RFI classification is unknown. The aim was to investigate associations between RFI and signaling through the mechanistic target of rapamycin (MTOR) and ubiquitin-proteasome pathways in ruminal epithelium. One hundred and forty-nine Red Angus cattle were allocated to 3 contemporary groups according to sex and herd origin. Animals were offered a finishing diet for 70 d to calculate the RFI coefficient for each. Within each group, the 2 most-efficient (n = 6) and least-efficient animals (n = 6) were selected. Compared with least-efficient animals, the most-efficient animals consumed less feed (P < 0.05; 18.36 vs. 23.39 kg/d DMI). At day 70, plasma samples were collected for insulin concentration analysis. Ruminal epithelium was collected immediately after slaughter to determine abundance and phosphorylation status of 29 proteins associated with MTOR, ubiquitin-proteasome, insulin signaling, and glucose and amino acid transport. Among the proteins involved in cellular protein synthesis, most-efficient animals had lower (P ≤ 0.05) abundance of MTOR, p-MTOR, RPS6KB1, EIF2A, EEF2K, AKT1, and RPS6KB1, whereas MAPK3 tended (P = 0.07) to be lower. In contrast, abundance of p-EEF2K, p-EEF2K:EEF2K, and p-EIF2A:EIF2A in most-efficient animals was greater (P ≤ 0.05). Among proteins catalyzing steps required for protein degradation, the abundance of UBA1, NEDD4, and STUB1 was lower (P ≤ 0.05) and MDM2 tended (P = 0.06) to be lower in most-efficient cattle. Plasma insulin and ruminal epithelium insulin signaling proteins did not differ (P > 0.05) between RFI groups. However, abundance of the insulin-responsive glucose transporter SLC2A4 and the amino acid transporters SLC1A3 and SLC1A5 also was lower (P ≤ 0.05) in most-efficient cattle. Overall, the data indicate that differences in signaling mechanisms controlling protein turnover and nutrient transport in ruminal epithelium are components of feed efficiency in beef cattle.
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Affiliation(s)
- Ahmed A Elolimy
- Department of Animal Sciences, University of Illinois, Urbana, IL
| | - Emad Abdel-Hamied
- Department of Animal Sciences, University of Illinois, Urbana, IL.,Animal Medicine Department, Beni-Suef University, Beni-Suef, Egypt
| | - Liangyu Hu
- Department of Animal Sciences, University of Illinois, Urbana, IL.,College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, P.R. China
| | - Joshua C McCann
- Department of Animal Sciences, University of Illinois, Urbana, IL
| | - Daniel W Shike
- Department of Animal Sciences, University of Illinois, Urbana, IL
| | - Juan J Loor
- Department of Animal Sciences, University of Illinois, Urbana, IL.,Division of Nutritional Sciences, Illinois Informatics Institute, University of Illinois, Urbana, IL
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