# Elevated ANG2/ACE2 and immune responses associated with Plasmodium falciparum and SARS-CoV-2 coinfection in Cameroon

**Authors:** Eric Berenger Tchoupe, Mary Ngongang Kameni, MacDonald Bin Eric, Jean Bosco Taya, Severin Donald Kamdem, Leonard Numfor Nkah, Vicky Ama Moor, Arnaud Tepa, Fuh Roger Neba, Anthony Afum-Adjei Awuah, John Humphrey Amuasi, Palmer Masumbe Netongo, Abhinav Sinha, Abhinav Sinha, Abhinav Sinha

PMC · DOI: 10.1371/journal.pgph.0005010 · PLOS Global Public Health · 2026-02-27

## TL;DR

This study finds that co-infection with malaria and COVID-19 leads to elevated immune and vascular biomarkers, suggesting a need for better diagnostic tools in regions where both diseases are common.

## Contribution

The study identifies distinct immune and vascular biomarker profiles in malaria–SARS-CoV-2 co-infection, highlighting their potential for early diagnosis and risk stratification.

## Key findings

- Co-infected individuals had significantly higher levels of ALT, AST, urea, creatinine, and erythropoietin compared to other groups.
- ANG2 and ACE2 levels were elevated in co-infected and COVID-19 groups, with ACE2 showing strong predictive power for disease severity.
- Distinct cytokine profiles were observed, with co-infection triggering IFN-γ and IL-1β, while malaria and COVID-19 alone had different immune responses.

## Abstract

Malaria and COVID-19 co-infections pose a major clinical challenge, as overlapping symptoms can lead to misdiagnosis and delays in treatment. Emerging evidence suggests that SARS-CoV-2 may influence malaria pathogenesis through dysregulation of the renin–angiotensin system. This study assessed clinical, biochemical, and immunological alterations associated with single and dual infections. A total of 96 participants aged 15–64 years were enrolled and classified into four groups: COVID-19 (n = 28), malaria (n = 28), co-infection (n = 16), and healthy controls (n = 24). Blood and nasopharyngeal samples were tested using rapid diagnostic tests, microscopy, and RT-PCR. Disease severity biomarkers were quantified using spectrophotometry and ELISA. Statistical analyses were performed in GraphPad Prism version 9.0, with significance set at p < 0.05. Co-infected participants exhibited significantly elevated biochemical markers (ALT, AST, urea, creatinine, and erythropoietin) compared to all other groups. Co-infection also triggered robust increases in IFN-γ and IL-1β, whereas malaria alone was associated with higher IL-6, IL-4, and IL-10, and COVID-19 alone was associated with elevated IL-2 and TNF-α. ANG2 levels were highest in both COVID-19 and co-infected groups, while ACE2 was markedly elevated in COVID-19 (p < 0.01). Correlation analyses revealed distinct biomarker networks driven by parasitaemia and viral load, implicating pathways linked to inflammation, erythropoiesis, and endothelial dysfunction. Notably, ACE2 demonstrated strong discriminatory power for predicting disease severity, with AUCs of 0.77 for malaria and 0.85 for COVID-19. These findings underscore the diagnostic and prognostic value of vascular and immune biomarkers for early risk stratification, particularly in malaria–COVID-19 co-infection, and may guide improved clinical management in co-endemic regions.

## Linked entities

- **Proteins:** ANGPT2 (angiopoietin 2), ACE2 (angiotensin converting enzyme 2), IFNG (interferon gamma), IL1B (interleukin 1 beta), IL6 (interleukin 6), IL4 (interleukin 4), IL10 (interleukin 10), IL2 (interleukin 2), TNF (tumor necrosis factor)
- **Diseases:** malaria (MONDO:0005136), COVID-19 (MONDO:0100096), SARS-CoV-2 (MONDO:0100096)

## Full-text entities

- **Genes:** ACE2 (angiotensin converting enzyme 2) [NCBI Gene 59272] {aka ACEH}, REN (renin) [NCBI Gene 5972] {aka ADTKD4, HNFJ2, RTD}, S (surface glycoprotein) [NCBI Gene 43740568] {aka spike glycoprotein}, ANGPT2 (angiopoietin 2) [NCBI Gene 285] {aka AGPT2, ANG2, LMPHM10}, TMPRSS2 (transmembrane serine protease 2) [NCBI Gene 7113] {aka PRSS10}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, ANG (angiogenin) [NCBI Gene 283] {aka ALS9, HEL168, RAA1, RNASE4, RNASE5}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, EPO (erythropoietin) [NCBI Gene 2056] {aka DBAL, ECYT5, EP, MVCD2}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, AGT (angiotensinogen) [NCBI Gene 183] {aka ANHU, SERPINA8, hFLT1}, COX3 (cytochrome c oxidase subunit III) [NCBI Gene 4514] {aka COIII, MTCO3}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, ORF1ab (ORF1a polyprotein;ORF1ab polyprotein) [NCBI Gene 43740578], E (envelope protein) [NCBI Gene 43740570], SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}
- **Diseases:** fever (MESH:D005334), hypoxia (MESH:D000860), haemolysis (MESH:D006461), multi-organ dysfunction (MESH:D009102), Plasmodium vivax infections (MESH:D016780), AKI (MESH:D058186), nephritis (MESH:D009393), fatigue (MESH:D005221), Schistosomiasis (MESH:D012552), cancer (MESH:D009369), diabetes (MESH:D003920), lymphopenia (MESH:D008231), endothelial dysfunction (MESH:D014652), liver and kidney dysfunction (MESH:D051437), fibrosis (MESH:D005355), hepatic dysfunction (MESH:D008107), headache (MESH:D006261), Inflammatory (MESH:D007249), systemic infections (MESH:D012141), Plasmodium (MESH:D008288), HIV infection (MESH:D015658), immune dysregulation (OMIM:614878), infectious diseases (MESH:D003141), 19 (MESH:D000094024), hepatic, renal, and haematological dysfunctions (MESH:D007674), hepatitis (MESH:D056486), anaemia (MESH:D000743), thrombocytopenia (MESH:D013921), COVID-19 co-infected (MESH:D000086382), infected (MESH:D007239), coagulation dysfunction (MESH:D001778), tropical disease (MESH:D015493), cough (MESH:D003371), Vascular injury (MESH:D057772), Malaria parasitemia (MESH:D018512), Co-infected (MESH:D060085), deaths (MESH:D003643), Haematological abnormalities (MESH:D006402)
- **Chemicals:** phenol (MESH:D019800), EDTA (MESH:D004492), bilirubin (MESH:D001663), hypochlorite (MESH:D006997), ammonia (MESH:D000641), creatinine (MESH:D003404), indophenol (MESH:D007215), urea (MESH:D014508), PGPH-D-25-01398 (-)
- **Species:** Severe acute respiratory syndrome-related coronavirus (no rank) [taxon 694009], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606], Plasmodium falciparum (malaria parasite P. falciparum, species) [taxon 5833], Pf [taxon 1985359]

## Full text

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## Figures

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## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12948122/full.md

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Source: https://tomesphere.com/paper/PMC12948122