Evidence map›Paper›PMID 34992299›Full record

ArticleNature metabolism2022

GP73 is a glucogenic hormone contributing to SARS-CoV-2-induced hyperglycemia.

Luming Wan, Qi Gao, Yongqiang Deng, Yuehua Ke, Enhao Ma, Huan Yang, Haotian Lin, Huilong Li, Yilong Yang, Jing Gong and 33 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
12.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Inhibition of AMPKα Pathway by Podocyte GOLM1 Exacerbates Diabetic Nephrology in Mice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Pathological Sequelae of SARS-CoV-2: A Review for Clinicians.The Yale journal of biology and medicine · 2024
    Review
  11. Interactions of SARS-CoV-2 with Human Target Cells-A Metabolic View.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Covid 19 and diabetes in children: advances and strategies.Diabetology & metabolic syndrome · 2024
    Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors at 6 institutions in 1 country.

Luming Wan *Beijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.ORCID http://orcid.org/0000-0002-0698-4077
Qi Gao *Beijing Sungen Biomedical Technology Co. Ltd., Beijing, China.
Yongqiang Deng *Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China.ORCID http://orcid.org/0000-0002-2306-1039
Yuehua Ke *Centers for Disease Control and Prevention of PLA, Beijing, China.
Enhao Ma *Tsinghua-Peking Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China.
Huan Yang *Beijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Haotian Lin *Beijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Huilong LiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Yilong YangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Jing GongBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Jingfei LiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Yixin XuBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Jing LiuBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Jianmin LiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Jialong LiuBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Xuemiao ZhangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Linfei HuangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Jiangyue FengBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Yanhong ZhangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Hanqing HuangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Huapeng WangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Changjun WangCenters for Disease Control and Prevention of PLA, Beijing, China.
Qi ChenBeijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China.
Xingyao HuangBeijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China.
Qing YeBeijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China.
Dongyu LiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Qiulin YanBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Muyi LiuBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Meng WeiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Yunhai MoBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Dongrui LiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Ke TangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.
Changqing LinBeijing Sungen Biomedical Technology Co. Ltd., Beijing, China.
Fei ZhengBeijing Sungen Biomedical Technology Co. Ltd., Beijing, China.
Lei XuBeijing Sungen Biomedical Technology Co. Ltd., Beijing, China.
Gong ChengTsinghua-Peking Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China.
Peihui WangKey Laboratory for Experimental Teratology of Ministry of Education and Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID http://orcid.org/0000-0001-6853-2423
Xiaopan YangBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.ORCID http://orcid.org/0000-0003-1442-6179
Feixang WuDepartment of Hepatobiliary Surgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.ORCID http://orcid.org/0000-0002-2886-3524
Zhiwei SunBeijing Sungen Biomedical Technology Co. Ltd., Beijing, China.ORCID http://orcid.org/0000-0002-7324-065X
Chengfeng QinBeijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China.ORCID http://orcid.org/0000-0002-0632-2807
Congwen WeiBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China.ORCID http://orcid.org/0000-0002-3966-5507
Hui ZhongBeijing Institute of Biotechnology, Academy of Military Medical Sciences (AMMS), Beijing, China. towall@yahoo.com.ORCID http://orcid.org/0000-0003-2128-9686
Academy of Military Medical Sciences · CNInstitute of Microbiology · CNBeijing Center for Disease Prevention and Control · CNCenter for Life Sciences · CNShandong University · CNTumor Hospital of Guangxi Medical University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31872715National Natural Science Foundation of China (National Science Foundation of China) 32070755National Natural Science Foundation of China (National Science Foundation of China) 81773205National Natural Science Foundation of China (National Science Foundation of China) 82070595
6 · The paper itself

Abstract

Severe cases of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are associated with elevated blood glucose levels and metabolic complications. However, the molecular mechanisms for how SARS-CoV-2 infection alters glycometabolic control are incompletely understood. Here, we connect the circulating protein GP73 with enhanced hepatic gluconeogenesis during SARS-CoV-2 infection. We first demonstrate that GP73 secretion is induced in multiple tissues upon fasting and that GP73 stimulates hepatic gluconeogenesis through the cAMP/PKA signaling pathway. We further show that GP73 secretion is increased in cultured cells infected with SARS-CoV-2, after overexpression of SARS-CoV-2 nucleocapsid and spike proteins and in lungs and livers of mice infected with a mouse-adapted SARS-CoV-2 strain. GP73 blockade with an antibody inhibits excessive glucogenesis stimulated by SARS-CoV-2 in vitro and lowers elevated fasting blood glucose levels in infected mice. In patients with COVID-19, plasma GP73 levels are elevated and positively correlate with blood glucose levels. Our data suggest that GP73 is a glucogenic hormone that likely contributes to SARS-CoV-2-induced abnormalities in systemic glucose metabolism.

Indexed as

SARS-CoV-2AnimalsBiomarkersCOVID-19Cyclic AMP-Dependent Protein KinasesDiet, High-FatDisease Models, AnimalFastingGene ExpressionGluconeogenesisGlucoseHost-Pathogen InteractionsHumansHyperglycemiaLiverMembrane ProteinsBiomarkersCyclic AMP-Dependent Protein KinasesGlucoseGOLM1 protein, humanMembrane Proteins

Identifiers

PMID34992299
OpenAlexW4205600073

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.