COVID-19-associated diabetes mellitus: Difference between revisions

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* Researchers found when SARS-Cov 2 infect pancreatic cells, it downregulates the pathways including calcium signaling pathways, glucagon signaling pathways of alpha cells, and metabolic pathways that assist in insulin secretion from pancreatic beta cells.<ref name="YangHan2020">{{cite journal|last1=Yang|first1=Liuliu|last2=Han|first2=Yuling|last3=Nilsson-Payant|first3=Benjamin E.|last4=Gupta|first4=Vikas|last5=Wang|first5=Pengfei|last6=Duan|first6=Xiaohua|last7=Tang|first7=Xuming|last8=Zhu|first8=Jiajun|last9=Zhao|first9=Zeping|last10=Jaffré|first10=Fabrice|last11=Zhang|first11=Tuo|last12=Kim|first12=Tae Wan|last13=Harschnitz|first13=Oliver|last14=Redmond|first14=David|last15=Houghton|first15=Sean|last16=Liu|first16=Chengyang|last17=Naji|first17=Ali|last18=Ciceri|first18=Gabriele|last19=Guttikonda|first19=Sudha|last20=Bram|first20=Yaron|last21=Nguyen|first21=Duc-Huy T.|last22=Cioffi|first22=Michele|last23=Chandar|first23=Vasuretha|last24=Hoagland|first24=Daisy A.|last25=Huang|first25=Yaoxing|last26=Xiang|first26=Jenny|last27=Wang|first27=Hui|last28=Lyden|first28=David|last29=Borczuk|first29=Alain|last30=Chen|first30=Huanhuan Joyce|last31=Studer|first31=Lorenz|last32=Pan|first32=Fong Cheng|last33=Ho|first33=David D.|last34=tenOever|first34=Benjamin R.|last35=Evans|first35=Todd|last36=Schwartz|first36=Robert E.|last37=Chen|first37=Shuibing|title=A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids|journal=Cell Stem Cell|year=2020|issn=19345909|doi=10.1016/j.stem.2020.06.015}}</ref>
* Researchers found when SARS-Cov 2 infect pancreatic cells, it downregulates the pathways including calcium signaling pathways, glucagon signaling pathways of alpha cells, and metabolic pathways that assist in insulin secretion from pancreatic beta cells.<ref name="YangHan2020">{{cite journal|last1=Yang|first1=Liuliu|last2=Han|first2=Yuling|last3=Nilsson-Payant|first3=Benjamin E.|last4=Gupta|first4=Vikas|last5=Wang|first5=Pengfei|last6=Duan|first6=Xiaohua|last7=Tang|first7=Xuming|last8=Zhu|first8=Jiajun|last9=Zhao|first9=Zeping|last10=Jaffré|first10=Fabrice|last11=Zhang|first11=Tuo|last12=Kim|first12=Tae Wan|last13=Harschnitz|first13=Oliver|last14=Redmond|first14=David|last15=Houghton|first15=Sean|last16=Liu|first16=Chengyang|last17=Naji|first17=Ali|last18=Ciceri|first18=Gabriele|last19=Guttikonda|first19=Sudha|last20=Bram|first20=Yaron|last21=Nguyen|first21=Duc-Huy T.|last22=Cioffi|first22=Michele|last23=Chandar|first23=Vasuretha|last24=Hoagland|first24=Daisy A.|last25=Huang|first25=Yaoxing|last26=Xiang|first26=Jenny|last27=Wang|first27=Hui|last28=Lyden|first28=David|last29=Borczuk|first29=Alain|last30=Chen|first30=Huanhuan Joyce|last31=Studer|first31=Lorenz|last32=Pan|first32=Fong Cheng|last33=Ho|first33=David D.|last34=tenOever|first34=Benjamin R.|last35=Evans|first35=Todd|last36=Schwartz|first36=Robert E.|last37=Chen|first37=Shuibing|title=A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids|journal=Cell Stem Cell|year=2020|issn=19345909|doi=10.1016/j.stem.2020.06.015}}</ref>
* Researchers further stained SARS-CoV 2 infected hPSC-derived pancreatic endocrine cells with a cell apoptotic marker (CASP3). As a result of this staining, they found a large number of CASP3 cells in infected hPSC-derived pancreatic cells. This indicates that change in metabolic pathways of the pancreas is mainly due to cell apoptosis, trigger by SARS-CoV 2.<ref name="YangHan2020">{{cite journal|last1=Yang|first1=Liuliu|last2=Han|first2=Yuling|last3=Nilsson-Payant|first3=Benjamin E.|last4=Gupta|first4=Vikas|last5=Wang|first5=Pengfei|last6=Duan|first6=Xiaohua|last7=Tang|first7=Xuming|last8=Zhu|first8=Jiajun|last9=Zhao|first9=Zeping|last10=Jaffré|first10=Fabrice|last11=Zhang|first11=Tuo|last12=Kim|first12=Tae Wan|last13=Harschnitz|first13=Oliver|last14=Redmond|first14=David|last15=Houghton|first15=Sean|last16=Liu|first16=Chengyang|last17=Naji|first17=Ali|last18=Ciceri|first18=Gabriele|last19=Guttikonda|first19=Sudha|last20=Bram|first20=Yaron|last21=Nguyen|first21=Duc-Huy T.|last22=Cioffi|first22=Michele|last23=Chandar|first23=Vasuretha|last24=Hoagland|first24=Daisy A.|last25=Huang|first25=Yaoxing|last26=Xiang|first26=Jenny|last27=Wang|first27=Hui|last28=Lyden|first28=David|last29=Borczuk|first29=Alain|last30=Chen|first30=Huanhuan Joyce|last31=Studer|first31=Lorenz|last32=Pan|first32=Fong Cheng|last33=Ho|first33=David D.|last34=tenOever|first34=Benjamin R.|last35=Evans|first35=Todd|last36=Schwartz|first36=Robert E.|last37=Chen|first37=Shuibing|title=A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids|journal=Cell Stem Cell|year=2020|issn=19345909|doi=10.1016/j.stem.2020.06.015}}</ref>
* Researchers further stained SARS-CoV 2 infected hPSC-derived pancreatic endocrine cells with a cell apoptotic marker (CASP3). As a result of this staining, they found a large number of CASP3 cells in infected hPSC-derived pancreatic cells. This indicates that change in metabolic pathways of the pancreas is mainly due to cell apoptosis, trigger by SARS-CoV 2. This experiment suggest that when SARS-CoV 2 binds to ACE2 in Pancreas, this will upregulate the genes responsible for apoptosis and downregulate the genes responsible for the cell survival. <ref name="YangHan2020">{{cite journal|last1=Yang|first1=Liuliu|last2=Han|first2=Yuling|last3=Nilsson-Payant|first3=Benjamin E.|last4=Gupta|first4=Vikas|last5=Wang|first5=Pengfei|last6=Duan|first6=Xiaohua|last7=Tang|first7=Xuming|last8=Zhu|first8=Jiajun|last9=Zhao|first9=Zeping|last10=Jaffré|first10=Fabrice|last11=Zhang|first11=Tuo|last12=Kim|first12=Tae Wan|last13=Harschnitz|first13=Oliver|last14=Redmond|first14=David|last15=Houghton|first15=Sean|last16=Liu|first16=Chengyang|last17=Naji|first17=Ali|last18=Ciceri|first18=Gabriele|last19=Guttikonda|first19=Sudha|last20=Bram|first20=Yaron|last21=Nguyen|first21=Duc-Huy T.|last22=Cioffi|first22=Michele|last23=Chandar|first23=Vasuretha|last24=Hoagland|first24=Daisy A.|last25=Huang|first25=Yaoxing|last26=Xiang|first26=Jenny|last27=Wang|first27=Hui|last28=Lyden|first28=David|last29=Borczuk|first29=Alain|last30=Chen|first30=Huanhuan Joyce|last31=Studer|first31=Lorenz|last32=Pan|first32=Fong Cheng|last33=Ho|first33=David D.|last34=tenOever|first34=Benjamin R.|last35=Evans|first35=Todd|last36=Schwartz|first36=Robert E.|last37=Chen|first37=Shuibing|title=A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids|journal=Cell Stem Cell|year=2020|issn=19345909|doi=10.1016/j.stem.2020.06.015}}</ref>


==Causes==
==Causes==

Revision as of 20:39, 27 June 2020

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Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Tayyaba Ali, M.D.[2]

Synonyms and keywords: New-onset Diabetes in COVID-19 Islet cell injury by SARS-CoV 2

Overview

Historical Perspective

Classification

There is no established system for the classification of [disease name].

OR

[Disease name] may be classified according to [classification method] into [number] subtypes/groups: [group1], [group2], [group3], and [group4].

OR

[Disease name] may be classified into [large number > 6] subtypes based on [classification method 1], [classification method 2], and [classification method 3]. [Disease name] may be classified into several subtypes based on [classification method 1], [classification method 2], and [classification method 3].

OR

Based on the duration of symptoms, [disease name] may be classified as either acute or chronic.

OR

If the staging system involves specific and characteristic findings and features: According to the [staging system + reference], there are [number] stages of [malignancy name] based on the [finding1], [finding2], and [finding3]. Each stage is assigned a [letter/number1] and a [letter/number2] that designate the [feature1] and [feature2].

OR

The staging of [malignancy name] is based on the [staging system].

OR

There is no established system for the staging of [malignancy name].

Pathophysiology

  • Angiotensin-converting enzyme 2 (ACE2) receptors expressed in the tissues that are highly involved in body metabolism. These tissues comprise of pancreatic beta cells, adipose tissue, small intestine, and the kidneys. ACE2 receptors in the endocrine pancreas serve the entrance for Severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2), which causes Corononavirus Disease 2019 (COVID-19). [3]
  • Expression of ACE2 receptors and effector protease TMPRSS2 in pancreas are associated with SARS-CoV 2 infection.[4]
  • The pancreas consists of nine different cell types such as acinar cells, ductal cells, beta cells, alpha cells, mesenchymal cells, and endothelial cells. These pancreatic cells express both ACE2 and TMPRSS2. The expression of ACE2 in pancreatic alpha and beta cells is further proved by immunohistochemistry. Both beta cells that secrete insulin and alpha cells that secrete glucagon, stained positive for SARS-CoV 2 Spike protein and thus, SARS-CoV 2 infect pancreatic islet cells.[4]
  • A recent experiement was conducted to study SARS-CoV 2 tropism that is the cellular response to an external stimulus in human cells and organoids. Researchers infect human pluripotent stem cells (hPSC)-derived pancreatic endocrine cells with SARS-CoV 2.[5]
  • Researchers found when SARS-Cov 2 infect pancreatic cells, it downregulates the pathways including calcium signaling pathways, glucagon signaling pathways of alpha cells, and metabolic pathways that assist in insulin secretion from pancreatic beta cells.[5]
  • Researchers further stained SARS-CoV 2 infected hPSC-derived pancreatic endocrine cells with a cell apoptotic marker (CASP3). As a result of this staining, they found a large number of CASP3 cells in infected hPSC-derived pancreatic cells. This indicates that change in metabolic pathways of the pancreas is mainly due to cell apoptosis, trigger by SARS-CoV 2. This experiment suggest that when SARS-CoV 2 binds to ACE2 in Pancreas, this will upregulate the genes responsible for apoptosis and downregulate the genes responsible for the cell survival. [5]

Causes

Disease name] may be caused by [cause1], [cause2], or [cause3].

OR

Common causes of [disease] include [cause1], [cause2], and [cause3].

OR

The most common cause of [disease name] is [cause 1]. Less common causes of [disease name] include [cause 2], [cause 3], and [cause 4].

OR

The cause of [disease name] has not been identified. To review risk factors for the development of [disease name], click here.

Differentiating ((Page name)) from other Diseases

[Disease name] must be differentiated from other diseases that cause [clinical feature 1], [clinical feature 2], and [clinical feature 3], such as [differential dx1], [differential dx2], and [differential dx3].

OR

[Disease name] must be differentiated from [[differential dx1], [differential dx2], and [differential dx3].

Epidemiology and Demographics

The incidence/prevalence of [disease name] is approximately [number range] per 100,000 individuals worldwide.

OR

In [year], the incidence/prevalence of [disease name] was estimated to be [number range] cases per 100,000 individuals worldwide.

OR

In [year], the incidence of [disease name] is approximately [number range] per 100,000 individuals with a case-fatality rate of [number range]%.


Patients of all age groups may develop [disease name].

OR

The incidence of [disease name] increases with age; the median age at diagnosis is [#] years.

OR

[Disease name] commonly affects individuals younger than/older than [number of years] years of age.

OR

[Chronic disease name] is usually first diagnosed among [age group].

OR

[Acute disease name] commonly affects [age group].


There is no racial predilection to [disease name].

OR

[Disease name] usually affects individuals of the [race 1] race. [Race 2] individuals are less likely to develop [disease name].


[Disease name] affects men and women equally.

OR

[Gender 1] are more commonly affected by [disease name] than [gender 2]. The [gender 1] to [gender 2] ratio is approximately [number > 1] to 1.


The majority of [disease name] cases are reported in [geographical region].

OR

[Disease name] is a common/rare disease that tends to affect [patient population 1] and [patient population 2].

Risk Factors

There are no established risk factors for [disease name].

OR

The most potent risk factor in the development of [disease name] is [risk factor 1]. Other risk factors include [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] include [risk factor 1], [risk factor 2], [risk factor 3], and [risk factor 4].

OR

Common risk factors in the development of [disease name] may be occupational, environmental, genetic, and viral.

Screening

There is insufficient evidence to recommend routine screening for [disease/malignancy].

OR

According to the [guideline name], screening for [disease name] is not recommended.

OR

According to the [guideline name], screening for [disease name] by [test 1] is recommended every [duration] among patients with [condition 1], [condition 2], and [condition 3].

Natural History, Complications, and Prognosis

If left untreated, [#]% of patients with [disease name] may progress to develop [manifestation 1], [manifestation 2], and [manifestation 3].

OR

Common complications of [disease name] include [complication 1], [complication 2], and [complication 3].

OR

Prognosis is generally excellent/good/poor, and the 1/5/10-year mortality/survival rate of patients with [disease name] is approximately [#]%.

Diagnosis

Diagnostic Study of Choice

The diagnosis of [disease name] is made when at least [number] of the following [number] diagnostic criteria are met: [criterion 1], [criterion 2], [criterion 3], and [criterion 4].

OR

The diagnosis of [disease name] is based on the [criteria name] criteria, which include [criterion 1], [criterion 2], and [criterion 3].

OR

The diagnosis of [disease name] is based on the [definition name] definition, which includes [criterion 1], [criterion 2], and [criterion 3].

OR

There are no established criteria for the diagnosis of [disease name].

History and Symptoms

The majority of patients with [disease name] are asymptomatic.

OR

The hallmark of [disease name] is [finding]. A positive history of [finding 1] and [finding 2] is suggestive of [disease name]. The most common symptoms of [disease name] include [symptom 1], [symptom 2], and [symptom 3]. Common symptoms of [disease] include [symptom 1], [symptom 2], and [symptom 3]. Less common symptoms of [disease name] include [symptom 1], [symptom 2], and [symptom 3].

Physical Examination

Patients with [disease name] usually appear [general appearance]. Physical examination of patients with [disease name] is usually remarkable for [finding 1], [finding 2], and [finding 3].

OR

Common physical examination findings of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

The presence of [finding(s)] on physical examination is diagnostic of [disease name].

OR

The presence of [finding(s)] on physical examination is highly suggestive of [disease name].

Laboratory Findings

An elevated/reduced concentration of serum/blood/urinary/CSF/other [lab test] is diagnostic of [disease name].

OR

Laboratory findings consistent with the diagnosis of [disease name] include [abnormal test 1], [abnormal test 2], and [abnormal test 3].

OR

[Test] is usually normal among patients with [disease name].

OR

Some patients with [disease name] may have elevated/reduced concentration of [test], which is usually suggestive of [progression/complication].

OR

There are no diagnostic laboratory findings associated with [disease name].

Electrocardiogram

There are no ECG findings associated with [disease name].

OR

An ECG may be helpful in the diagnosis of [disease name]. Findings on an ECG suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

X-ray

There are no x-ray findings associated with [disease name].

OR

An x-ray may be helpful in the diagnosis of [disease name]. Findings on an x-ray suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no x-ray findings associated with [disease name]. However, an x-ray may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Echocardiography or Ultrasound

There are no echocardiography/ultrasound findings associated with [disease name].

OR

Echocardiography/ultrasound may be helpful in the diagnosis of [disease name]. Findings on an echocardiography/ultrasound suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no echocardiography/ultrasound findings associated with [disease name]. However, an echocardiography/ultrasound may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

CT scan

There are no CT scan findings associated with [disease name].

OR

[Location] CT scan may be helpful in the diagnosis of [disease name]. Findings on CT scan suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no CT scan findings associated with [disease name]. However, a CT scan may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

MRI

There are no MRI findings associated with [disease name].

OR

[Location] MRI may be helpful in the diagnosis of [disease name]. Findings on MRI suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

There are no MRI findings associated with [disease name]. However, a MRI may be helpful in the diagnosis of complications of [disease name], which include [complication 1], [complication 2], and [complication 3].

Other Imaging Findings

There are no other imaging findings associated with [disease name].

OR

[Imaging modality] may be helpful in the diagnosis of [disease name]. Findings on an [imaging modality] suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

Other Diagnostic Studies

There are no other diagnostic studies associated with [disease name].

OR

[Diagnostic study] may be helpful in the diagnosis of [disease name]. Findings suggestive of/diagnostic of [disease name] include [finding 1], [finding 2], and [finding 3].

OR

Other diagnostic studies for [disease name] include [diagnostic study 1], which demonstrates [finding 1], [finding 2], and [finding 3], and [diagnostic study 2], which demonstrates [finding 1], [finding 2], and [finding 3].

Treatment

Medical Therapy

There is no treatment for [disease name]; the mainstay of therapy is supportive care.

OR

Supportive therapy for [disease name] includes [therapy 1], [therapy 2], and [therapy 3].

OR

The majority of cases of [disease name] are self-limited and require only supportive care.

OR

[Disease name] is a medical emergency and requires prompt treatment.

OR

The mainstay of treatment for [disease name] is [therapy].

OR   The optimal therapy for [malignancy name] depends on the stage at diagnosis.

OR

[Therapy] is recommended among all patients who develop [disease name].

OR

Pharmacologic medical therapy is recommended among patients with [disease subclass 1], [disease subclass 2], and [disease subclass 3].

OR

Pharmacologic medical therapies for [disease name] include (either) [therapy 1], [therapy 2], and/or [therapy 3].

OR

Empiric therapy for [disease name] depends on [disease factor 1] and [disease factor 2].

OR

Patients with [disease subclass 1] are treated with [therapy 1], whereas patients with [disease subclass 2] are treated with [therapy 2].

Surgery

Surgical intervention is not recommended for the management of [disease name].

OR

Surgery is not the first-line treatment option for patients with [disease name]. Surgery is usually reserved for patients with either [indication 1], [indication 2], and [indication 3]

OR

The mainstay of treatment for [disease name] is medical therapy. Surgery is usually reserved for patients with either [indication 1], [indication 2], and/or [indication 3].

OR

The feasibility of surgery depends on the stage of [malignancy] at diagnosis.

OR

Surgery is the mainstay of treatment for [disease or malignancy].

Primary Prevention

There are no established measures for the primary prevention of [disease name].

OR

There are no available vaccines against [disease name].

OR

Effective measures for the primary prevention of [disease name] include [measure1], [measure2], and [measure3].

OR

[Vaccine name] vaccine is recommended for [patient population] to prevent [disease name]. Other primary prevention strategies include [strategy 1], [strategy 2], and [strategy 3].

Secondary Prevention

There are no established measures for the secondary prevention of [disease name].

OR

Effective measures for the secondary prevention of [disease name] include [strategy 1], [strategy 2], and [strategy 3].

References

  1. 1.0 1.1 1.2 1.3 King, H.; Aubert, R. E.; Herman, W. H. (1998). "Global Burden of Diabetes, 1995-2025: Prevalence, numerical estimates, and projections". Diabetes Care. 21 (9): 1414–1431. doi:10.2337/diacare.21.9.1414. ISSN 0149-5992.
  2. "Diabetes".
  3. Bornstein, Stefan R.; Dalan, Rinkoo; Hopkins, David; Mingrone, Geltrude; Boehm, Bernhard O. (2020). "Endocrine and metabolic link to coronavirus infection". Nature Reviews Endocrinology. 16 (6): 297–298. doi:10.1038/s41574-020-0353-9. ISSN 1759-5029.
  4. 4.0 4.1 Hoffmann, Markus; Kleine-Weber, Hannah; Schroeder, Simon; Krüger, Nadine; Herrler, Tanja; Erichsen, Sandra; Schiergens, Tobias S.; Herrler, Georg; Wu, Nai-Huei; Nitsche, Andreas; Müller, Marcel A.; Drosten, Christian; Pöhlmann, Stefan (2020). "SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor". Cell. 181 (2): 271–280.e8. doi:10.1016/j.cell.2020.02.052. ISSN 0092-8674.
  5. 5.0 5.1 5.2 Yang, Liuliu; Han, Yuling; Nilsson-Payant, Benjamin E.; Gupta, Vikas; Wang, Pengfei; Duan, Xiaohua; Tang, Xuming; Zhu, Jiajun; Zhao, Zeping; Jaffré, Fabrice; Zhang, Tuo; Kim, Tae Wan; Harschnitz, Oliver; Redmond, David; Houghton, Sean; Liu, Chengyang; Naji, Ali; Ciceri, Gabriele; Guttikonda, Sudha; Bram, Yaron; Nguyen, Duc-Huy T.; Cioffi, Michele; Chandar, Vasuretha; Hoagland, Daisy A.; Huang, Yaoxing; Xiang, Jenny; Wang, Hui; Lyden, David; Borczuk, Alain; Chen, Huanhuan Joyce; Studer, Lorenz; Pan, Fong Cheng; Ho, David D.; tenOever, Benjamin R.; Evans, Todd; Schwartz, Robert E.; Chen, Shuibing (2020). "A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids". Cell Stem Cell. doi:10.1016/j.stem.2020.06.015. ISSN 1934-5909.


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