| Literature DB >> 35986111 |
Md Rezaul Islam1, Md Mominur Rahman1, Md Tanjimul Ahasan1, Nadia Sarkar1, Shopnil Akash1, Mahfuzul Islam1, Fahadul Islam1, Most Nazmin Aktar1, Mohd Saeed2, Md Harun-Or-Rashid1, Md Kawsar Hosain1, Md Saidur Rahaman1, Sadia Afroz1, Shabana Bibi3,4, Md Habibur Rahman5,6, Sherouk Hussein Sweilam7,8.
Abstract
The emergence of various diseases during the COVID-19 pandemic made health workers more attentive, and one of the new pathogens is the black fungus (mucormycosis). As a result, millions of lives have already been lost. As a result of the mutation, the virus is constantly changing its traits, including the rate of disease transmission, virulence, pathogenesis, and clinical signs. A recent analysis revealed that some COVID-19 patients were also coinfected with a fungal disease called mucormycosis (black fungus). India has already categorized the COVID-19 patient black fungus outbreak as an epidemic. Only a few reports are observed in other countries. The immune system is weakened by COVID-19 medication, rendering it more prone to illnesses like black fungus (mucormycosis). COVID-19, which is caused by a B.1.617 strain of the SARS-CoV-2 virus, has been circulating in India since April 2021. Mucormycosis is a rare fungal infection induced by exposure to a fungus called mucormycete. The most typically implicated genera are Mucor rhyzuprhizopusdia and Cunninghamella. Mucormycosis is also known as zygomycosis. The main causes of infection are soil, dumping sites, ancient building walls, and other sources of infection (reservoir words "mucormycosis" and "zygomycosis" are occasionally interchanged). Zygomycota, on the other hand, has been identified as polyphyletic and is not currently included in fungal classification systems; also, zygomycosis includes Entomophthorales, but mucormycosis does not. This current review will be focused on the etiology and virulence factors of COVID-19/mucormycosis coinfections in COVID-19-associated mucormycosis patients, as well as their prevalence, diagnosis, and treatment.Entities:
Keywords: Black fungus; Diagnosis; Etiology; Mucormycosis; SARS-CoV-2; Zygomycosis
Year: 2022 PMID: 35986111 PMCID: PMC9391068 DOI: 10.1007/s11356-022-22204-8
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 5.190
Fig. 1Mucormycosis is a fungal infection with a typical etiology. The spores of the ubiquitous fungus enter the body through a skin injury or the naso-oral route, and then escape owing to pathological or immunocompromised situations, from the host immune cells. Fungal spores penetrate the cellular barrier and produce hyphae in blood vessels, which disseminate to other organs and cause fungal infection at the entry site. DKA diabetic ketoacidosis
Fig. 2Complex biochemical connections and immunomodulated interactions in COVID-19-related mucormycosis lead to death in hyperglycemia and ketoacidosis. Hyperglycemia and ketoacidosis develop when the transferrin protein fails to isolate free iron in the blood. Free iron molecules, glucose, and β-hydroxy butyrate (BHB) ketone bodies influence the immunity that also help to boost up the expression of fungal CotH (coat protein homologs), resulting formation of mucor inside blood vessels. GRP78 glucose regulatory protein-78
Fig. 3Based on case reports, a clinical depiction of several kinds of COVID-19-associated mucormycosis (CAM)
Fig. 4Dexamethasone’s typical genomic mechanism in COVID-19 corticosteroid treatment. Dexamethasone (DM) is a lipophilic substance that quickly diffuses over the cell membrane and into the cytoplasm. The glucocorticoid receptor (GR) on the cell membrane binds to DM, generating the glucocorticoid receptor complex (GR-RC), which allows corticosteroids to enter the cell. The GR-GC binds to certain DNA (deoxyribonucleic acid) sequences, causing transactivation and transrepression to happen at the same time. TNF (tumor necrosis factor) and IFN (interferon)-gamma, as well as interleukins (IL-1, IL-2, IL-6, and IL-8) are inhibited, but anti-inflammatory cytokine production is increased
Fig. 5Dexamethasone’s typical non-genomic mechanism in COVID-19 corticosteroid treatment. A large dose of corticosteroids is necessary due to the severity of the illness. Dexamethasone (DM) binds to the membrane-associated glucocorticoid receptor (GR) on T lymphocytes at higher concentrations, lowering the immunological response these cells generate. An integrin binds to the GR complex in the cytoplasm and activates focal adhesion kinase (FAK). Furthermore, high dosages of DM reduce inflammation via altering calcium and sodium ion active transport
Mucormycosis mortality or case fatality rate in various case studies throughout the world
| Study number | Case fatality rate or mortality rate | References |
|---|---|---|
| 1 | Overall 64% (11/17) |
Petrikkos et al. ( |
| 2 | Overall 54% (501/929) | Roden et al. ( |
| - 96% (disseminated mucormycosis) | ||
| - 85% (gastrointestinal mucormycosis) | ||
| - 76% (pulmonary mucormycosis) | ||
| - 46% (sinus infection) | ||
| 3 | 32% (19/60) | Pagano et al. ( |
| - 36% (immunocompromised) | ||
| - 22% (immunocompetent) | ||
| - 18% (treated with liposomal amphotericin B) | ||
| 4 | 11.5% (61/531) | Bitar et al. ( |
| - 47.8% (hematologic malignancies) | ||
| - 36.4% (bone marrow transplantation) | ||
| 5 | 53% (10/19) | Ambrosioni et al. ( |
| - 75% (antifungal treatment alone) | ||
| - 14% (antifungal treatment and surgery) | ||
| 6 | 47% (108/230) | Skiada et al. ( |
| - 76% (hematopoietic stem cell transplantation) | ||
| - 58% (disseminated mucormycosis) | ||
| - 56% (pulmonary mucormycosis) | ||
| - 52% (hematologic malignancies) | ||
| - 44% (diabetes) | ||
| 7 | 44% (44/101) | Lanternier et al. ( |
| - 25% (rhinocerebral mucormycosis) | ||
| - 79% (disseminated mucormycosis) | ||
| - 48% (pulmonary mucormycosis) | ||
| - 22% (cutaneous mucormycosis) |
Burden of major fungal diseases worldwide as evaluated by LIFE
| Country | Total population (in millions) | Total estimated fungal burden | Mucormycosis | Invasive aspergillosis | Reference | ||
|---|---|---|---|---|---|---|---|
| Total burden | Rate/100 K | Total burden | Rate/100 K | ||||
| Algeria | 40.4 | 568,942 | 79 | 0.2 | 2865 | 7.1 | Chekiri-Talbi et al. ( |
| Argentina | 43.8 | 881,023 | 75 | 0.17 | 2536 | 5.8 | Sacarlal and Denning ( |
| Australia | 23.57 | 693,708 | 21 | 0.06 | 560 | 3–29% | Prakash and Chakrabarti ( |
| Belgium | 11.1 | 233,000 | 31 | 0.58 | 675 | 6.08 | Bongomin et al. ( |
| Brazil | 194.0 | 3,800,000 | 243 | 0.2 | 8664 | 4.47 | Giacomazzi et al. ( |
| Cameroon | 24.2 | 1,126,332 | 5 | 0.2 | 1175 | 5.3 | Sacarlal and Denning ( |
| Canada | 35.5 | 652,932 | 43 | 0.12 | 566 | 1.59 | Dufresne et al. ( |
| Chile | 17.5 | 325,036 | 35 | 0.2 | 296 | 1.7 | Álvarez Duarte et al. ( |
| Colombia | 49.3 | 760,808 | 99 | 0.2 | 2820 | 5.7 | Alvarez-Moreno et al. ( |
| Czech Republic | 10.5 | 176,073 | 22 | 0.2 | 297 | 2.8 | Chrdle et al. ( |
| Denmark | 5.6 | 894,430 | 1 | 0.02 | 294 | 5.3 | Beardsley et al. ( |
| Dominican Republic | 10.9 | 2,293,681 | 20 | 0.2 | 61 | 0.8 | Gugnani et al. ( |
| France | 65.8 | 968,143 | 79 | 0.12 | 1185 | 1.8 | Gangneux et al. ( |
| Greece | 10.8 | 194,067 | 7 | 0.06 | 1125 | 10.4 | Gamaletsou et al. ( |
| India | 1300.0 | NA | 171,504 | 14 | NA | NA | Chakrabarti and Dhaliwal ( |
| Ireland | 6.4 | 117,384 | 13 | 0.2 | 445 | 7 | Dorgan et al. ( |
| Japan | 127.0 | 2,370,314 | 254 | 0.2 | 1308 | 1 | Prakash and Chakrabarti ( |
| Jordan | 6.3 | 119,153 | 1 | 0.02 | 84 | 1.34 | Wadi and Denning ( |
| Kazakhstan | 17.7 | 300,824 | 16 | 0.09 | 511 | 2.8 | Kemaykin et al. ( |
| Kenya | 43.6 | 3,186,766 | 80 | 0.2 | 239 | 0.6 | Guto et al. ( |
| Korea | 48.0 | 985,079 | 68 | 0.14 | 2150 | 4.48 | Huh et al. ( |
| Malawi | 17.7 | 1,338,523 | 30 | 0.2 | 1186 | 6.7 | Kalua et al. ( |
| Mexico | 112.3 | 2,749,159 | 134 | 0.12 | 4510 | 4 | Bongomin et al. ( |
| Nigeria | 155 | 17,983,517 | 300 | 0.2 | 928 | 0.6 | Bongomin et al. ( |
| Norway | 5.2 | 839,087 | 7 | 0.1 | 278 | 5.3 | Nordøy et al. ( |
| Pakistan | 184.5 | 3,280,554 | 25,830 | 14 | 10,949 | 5.9 | Jabeen et al. ( |
| Philippines | 98.4 | 1,852,137 | 20 | 0.02 | 3085 | 3 | Batac et al. ( |
| Portugal | 10.6 | 1,695,514 | 10 | 9.5 | 240 | 2.3 | Sabino et al. ( |
| Qatar | 1.9 | 33,448 | 23 | 1.23 | 11 | 0.6 | Alfouzan et al. ( |
| Romania | 19.7 | 436,230 | 7 | 0.04 | 1524 | 7.7 | Alvarez-Moreno et al. ( |
| Russia | 142.9 | 3,082,907 | 232 | 0.16 | 3238 | 2.27 | Klimko et al. ( |
| Serbia | 7.1 | 156,825 | 23 | 0.33 | 619 | 8.8 | Arsenijević and Denning ( |
| Spain | 47.0 | 8,144,605 | 20 | 0.04 | 1293 | 2.75 | Alastruey-Izquierdo et al. ( |
| Thailand | 65.1 | 1,254,562 | 130 | 0.2 | 941 | 1.4 | Chayakulkeeree et al. ( |
| Ukraine | 45.5 | 999,152 | 90 | 0.1975 | 1233 | 2.7067 | Bongomin et al. ( |
| UK | 63.18 | 241,525–662,987 | 57 | 0.09 | 2901–2912 | 4.59–4.61 | Pegorie et al. ( |
| USA | NA | NA | 36 | 0.3 | 301 | 2.4 | Webb et al. ( |
| Republic of Uzbekistan | 30.7 | 536,978 | 27 | 0.08 | 1521 | 4.8 | Tilavberdiev et al. ( |