Abstract

Background

This study assesses the cerebrospinal fluid (CSF) levels of the viral receptor angiotensin-converting enzyme 2 (ACE2) and of the serine protease TMPRSS2 fragments in patients with SARS-CoV-2 infection presenting encephalitis (CoV-Enceph).

Methods

The study included biobanked CSF from 18 CoV-Enceph, 4 subjects with COVID-19 without encephalitis (CoV), 21 with non-COVID-19–related encephalitis (Enceph), and 21 neurologically healthy controls. Participants underwent a standardized assessment for encephalitis. A large subset of samples underwent analysis for an extended panel of CSF neuronal, glial, and inflammatory biomarkers. ACE2 and TMPRSS2 species were determined in the CSF by western blotting.

Results

ACE2 was present in CSF as several species, full-length forms and 2 cleaved fragments of 80 and 85 kDa. CoV-Enceph patients displayed increased CSF levels of full-length species, as well as the 80 kDa fragment, but not the alternative 85 kDa fragment, compared with controls and Enceph patients, characterized by increases of both fragments. Furthermore, TMPRSS2 was increased in the CSF of Enceph patients compared with controls, but not in CoV-Enceph patients. The CoV patients without encephalitis displayed unaltered CSF levels of ACE2 and TMPRSS2 species.

Conclusions

Patients with encephalitis displayed an overall increase in CSF ACE2, probably as a consequence of brain inflammation. The increase of the shortest ACE2 fragment only in CoV-Enceph patients may reflect the enhanced cleavage of the receptor triggered by SARS-CoV-2, thus serving to monitor brain penetrance of the virus associated with the rare encephalitis complication. TMPRSS2 changes in the CSF appeared related to inflammation, but not with SARS-CoV-2 infection.

Mild neurological dysfunction is frequent in coronavirus disease 2019 (COVID-19), but severe neurologic disorders can also occur [1]. Indeed, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been reported to show a capacity for invading the human brain [2]. However, the extent of viral brain infection in COVID-19 patients, and whether neurological symptoms are a primary consequence of SARS-CoV-2 infection or mediated by the neuroinflammatory response, remain unclear [1, 3]. Only very few neurological cases showed threshold amplification in the brain [4, 5]. Most single and multicenter studies indicated that polymerase chain reaction (PCR) for SARS-CoV-2 was negative in the cerebrospinal fluid (CSF) of COVID-19 patients with and without encephalopathy or encephalitis [6, 7]. Thus, it is unclear whether the rare cases of COVID-19–related encephalitis and the subtle neurological symptoms observed are a consequence of neuroinflammation or brain damage directly induced by viral infection [3, 8].

SARS-CoV-2 infects human cells through the binding of viral spike (S) protein to the cellular receptor angiotensin-converting enzyme 2 (ACE2) for entry, and the transmembrane protease serine 2 (TMPRSS2) for S-protein priming. Both ACE2 and TMPRSS2 are proteins present in the human and mouse brain cells [9, 10], and it has been demonstrated that human neurons are a target for SARS-CoV-2 [11]. SARS-CoV-2 infection and replication through the brain also occurs in susceptible transgenic K18-hACE2 mice [12]. Furthermore, neuronal infection can be prevented by blocking ACE2 with antibodies [2].

ACE2 is a type I transmembrane glycoprotein with a short hydrophobic intracellular C-terminus [13]. The protein is cleaved from the plasma membrane by ADAM17 and ADAM10 (sheddases belonging to the “a disintegrin and metalloprotease” family) through constitutive and regulated shedding [14], generating at least 2 large ectodomain fragments [15]. Interestingly, only 1 of the cleaved fragments appears to be regulable by stimulating ADAM17 activity [15]. Despite physiological cleavage, membrane-ACE2 shedding also occurs after SARS-CoV-2 S-protein binding [16]. Recently, we have reported the existence of different species of ACE2 in human fluids that comprise truncated and proteolytically unprocessed full-length forms [17, 18]. Interestingly, in infected humans, during the acute phase of the disease, only the shorter fragment was marginally higher in the plasma of patients with COVID-19 when compared with nondisease controls, whilst the larger fragment remained unaltered, suggesting that only a particular ACE2 fragment could serve as read-out of the processing subsequent to virus entry [17].

TMPRSS2 is a type II transmembrane protein [19] that is expressed as a single chain zymogen that undergoes autoproteolytic cleavage at the ectodomain to acquire proteolytic activity [20]. The cleaved active protease fragment either remains linked to the prodomain via an interdomain disulfide bond or is shed, resulting in a membrane-bound fraction and a cleaved fragment [21]. Circulating TMPRSS2 has been found in human and mouse serum [20, 22, 23]. However, these studies did not address which TMPRSS2 species are present in circulation. To our knowledge, the presence of TMPRSS2 in CSF has not been addressed by any previous studies.

Here, we aimed to determine the levels of ACE2 and TMPRSS2 in the CSF of patients with mild SARS-CoV-2 infection without major neurological symptoms (CoV) and patients severely affected with encephalitis (CoV-Enceph). We also analyzed whether levels of the ACE2 and TMPRSS2 species are differentially affected in patients with encephalitis unrelated to SARS-CoV-2 infection (Enceph). The main objective of the study was to disentangle the relationship between SARS-CoV-2 infection, inflammation-related changes, and ACE2 species in humans. We sought to assess whether the determination of CSF ACE2 serves as a read-out of brain infection in COVID-19 patients.

METHODS

Patient Cohorts

Samples and data from patients included in this study were from the ASST Spedali Civili and ASST Cremona Hospitals (Italy), including COVID-19 patients consecutively admitted fulfilling criteria for encephalitis (n = 18) according to a full screening protocol [24, 25]. The study was carried out in accordance with the Declaration of Helsinki. The Institutional Ethical Standards Committee on Human Experimentation at Brescia University Hospital, Italy provided approval for the study (ENCOVID study NP 4131, approved on 25 May 2020), which included informed consent from all the participants. Approval was also obtained by the Ethical Committee of the Universidad Miguel Hernandez, Spain (IN.JSV.03.20). Further information about case definition, ethics and a flowchart summarizing cohort selection is available in the Supplementary material.

Although lumbar puncture is not a habitual procedure for COVID-19 disease, for biomarker comparison a small group of 4 COVID-19 patients who underwent CSF analyses for isolated persistent headache, but not any other neurological symptom or magnetic resonance imaging/electroencephalogram alteration, was included and considered as a negative control for brain COVID-19–related manifestation. Moreover, patients with encephalitis without SARS-CoV-2 infection (Enceph; 12 with autoimmune-mediated encephalitis and 9 with infectious encephalitis), and neurologically healthy controls with isolated headache (Ctrl; n = 7) with available CSF for ACE2/TMPRSS2 analyses were included.

Encephalitis Assessment and Diagnosis

First-line testing included all commonly recognized causes of encephalitis according to current guidelines and previous publications [7, 24, 26]. For details see Supplementary material.

Determination of ACE2 and TMPRSS2 in CSF Samples by Quantitative Fluorescent Western Blotting

ACE2 and TMPRSS2 species were detected by fluorescent-based imaging after sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) and western blotting. CSF samples were prepared and ACE2 or TMPRSS2 were detected as described in the Supplementary material. ACE2 anti-ectodomain antibodies AF933 (R&D Systems) or antibody MAB933 (R&D Systems), or alternatively with the anti-C-terminus ab15348 antibody (Abcam) were used. TMPRSS2 was detected with the ectodomain antibody 14437-1-AP (Proteintech), the anti-C-terminus antibody H00007113-M05 (Abnova), or the anti-N-terminus antibody OAAB04388 (Aviva Systems Biology).

CSF Biomarkers for Inflammation, Brain Injury, and Neurodegeneration

A subset of 45 patients with CSF available underwent an additional assessment for inflammatory and neuronal/glial markers: cytokine concentrations (including interleukin 6 [IL-6], IL-8, tumor necrosis factor-α [TNF-α], IL-1β); total tau (T-tau) and phosphorylated tau-181; amyloid-β (Aβ) peptides Aβ38, Aβ40, and Aβ42; neurofilament light polypeptide (NfL); soluble triggering receptor expressed on myeloid cells 2 (sTREM2); glial fibrillary acidic protein (GFAP); and YKL-40, as described in the Supplementary material; values are indicated in Table 1.

Table 1.

Biomarker Levels of the Subset Patients With Extended Panel of CSF Markers: COVID-19 Patients With Encephalitis, Non–COVID-19 Related Encephalitis, and Neurologically Healthy Controls

 Cov-EncephEncephCtrlP Value
Age, y67.5 (60.0–73.9)48.0 (28.4–62.5)42.0 (37.4–44.5)<.001a
Sex, male:female11:512:74:6.214b
P-tau 181, pg/mL47.0 (43.0–48.2)22.8 (20.4–35.3)24.8 (17.1–37.7).098a
T-tau, pg/mL322 (231–456)359 (271–530)165 (130–267).02
NfL, pg/mL1047 (787–1811)686 (477–2350)437 (366–457).040
Aβ38, pg/mL1223 (734–2056)1403 (1012–2072)1497 (1349–2128).760a
Aβ40, pg/mL3281 (2502–4746)3869 (3636–5624)4543 (3948–5992).492a
Aβ42, pg/mL251 (105–336)352 (202–545)331 (260–515).461a
Aβ42/Aβ400.07 (0.05–0.09)0.07 (0.06–0.09)0.07 (0.07–0.08).537a
IL-1β, pg/mL0.28 (0.28–0.28)0.28 (0.27–0.28)0.27 (0.27–0.27).001c, d, e
IL-6, pg/mL1.12 (0.87–3.49)2.12 (0.71–3.20)1.14 (0.92–2.15).832c
IL-8, pg/mL87.5 (53.3–163)113 (60.0–143)52.7 (44.1–70.6).162c
TNF-α, pg/mL0.17 (0.16–0.23)0.29 (0.17–2.30)0.22 (0.17–0.34).156c
YKL-40, pg/mL198 (146–239)197 (149–313)83.6 (81.1–106).001c, d, e
sTREM2, pg/mL3882 (2205–4848)3349 (1879–4216)987 (823–1210)<.001c, d, e
GFAP, pg/mL444 (251–757)318 (283–582)138 (107–174).004c, d, e
 Cov-EncephEncephCtrlP Value
Age, y67.5 (60.0–73.9)48.0 (28.4–62.5)42.0 (37.4–44.5)<.001a
Sex, male:female11:512:74:6.214b
P-tau 181, pg/mL47.0 (43.0–48.2)22.8 (20.4–35.3)24.8 (17.1–37.7).098a
T-tau, pg/mL322 (231–456)359 (271–530)165 (130–267).02
NfL, pg/mL1047 (787–1811)686 (477–2350)437 (366–457).040
Aβ38, pg/mL1223 (734–2056)1403 (1012–2072)1497 (1349–2128).760a
Aβ40, pg/mL3281 (2502–4746)3869 (3636–5624)4543 (3948–5992).492a
Aβ42, pg/mL251 (105–336)352 (202–545)331 (260–515).461a
Aβ42/Aβ400.07 (0.05–0.09)0.07 (0.06–0.09)0.07 (0.07–0.08).537a
IL-1β, pg/mL0.28 (0.28–0.28)0.28 (0.27–0.28)0.27 (0.27–0.27).001c, d, e
IL-6, pg/mL1.12 (0.87–3.49)2.12 (0.71–3.20)1.14 (0.92–2.15).832c
IL-8, pg/mL87.5 (53.3–163)113 (60.0–143)52.7 (44.1–70.6).162c
TNF-α, pg/mL0.17 (0.16–0.23)0.29 (0.17–2.30)0.22 (0.17–0.34).156c
YKL-40, pg/mL198 (146–239)197 (149–313)83.6 (81.1–106).001c, d, e
sTREM2, pg/mL3882 (2205–4848)3349 (1879–4216)987 (823–1210)<.001c, d, e
GFAP, pg/mL444 (251–757)318 (283–582)138 (107–174).004c, d, e

Data are median and interquartile range (25th and 75th percentiles).

Abbreviations: Aβ, amyloid-β; Cov-Enceph, patients with COVID-19 and encephalitis; COVID-19, patiens with coronavirus disease 2019; Ctrl, neurologically healthy controls; Enceph, patients with non–COVID-19 related encephalitis; GFAP, glial fibrillary acidic protein; IL, interleukin; NfL, neurofilament light polypeptide; P-tau 181, phosphorylated tau-181; sTREM2, soluble triggering receptor expressed on myeloid cells 2; TNF-α, tumor necrosis factor-α; T-tau, total tau;

aANOVA test.

bBonferroni/Mann-Whitney test.

cKruskal-Wallis post hoc analysis.

dSignificant comparison Enceph versus Ctrl.

eSignificant comparison Cov-Enceph versus Ctrl. Note the lack of significant differences in biomarkers between Enceph and Cov-Enceph patients.

Table 1.

Biomarker Levels of the Subset Patients With Extended Panel of CSF Markers: COVID-19 Patients With Encephalitis, Non–COVID-19 Related Encephalitis, and Neurologically Healthy Controls

 Cov-EncephEncephCtrlP Value
Age, y67.5 (60.0–73.9)48.0 (28.4–62.5)42.0 (37.4–44.5)<.001a
Sex, male:female11:512:74:6.214b
P-tau 181, pg/mL47.0 (43.0–48.2)22.8 (20.4–35.3)24.8 (17.1–37.7).098a
T-tau, pg/mL322 (231–456)359 (271–530)165 (130–267).02
NfL, pg/mL1047 (787–1811)686 (477–2350)437 (366–457).040
Aβ38, pg/mL1223 (734–2056)1403 (1012–2072)1497 (1349–2128).760a
Aβ40, pg/mL3281 (2502–4746)3869 (3636–5624)4543 (3948–5992).492a
Aβ42, pg/mL251 (105–336)352 (202–545)331 (260–515).461a
Aβ42/Aβ400.07 (0.05–0.09)0.07 (0.06–0.09)0.07 (0.07–0.08).537a
IL-1β, pg/mL0.28 (0.28–0.28)0.28 (0.27–0.28)0.27 (0.27–0.27).001c, d, e
IL-6, pg/mL1.12 (0.87–3.49)2.12 (0.71–3.20)1.14 (0.92–2.15).832c
IL-8, pg/mL87.5 (53.3–163)113 (60.0–143)52.7 (44.1–70.6).162c
TNF-α, pg/mL0.17 (0.16–0.23)0.29 (0.17–2.30)0.22 (0.17–0.34).156c
YKL-40, pg/mL198 (146–239)197 (149–313)83.6 (81.1–106).001c, d, e
sTREM2, pg/mL3882 (2205–4848)3349 (1879–4216)987 (823–1210)<.001c, d, e
GFAP, pg/mL444 (251–757)318 (283–582)138 (107–174).004c, d, e
 Cov-EncephEncephCtrlP Value
Age, y67.5 (60.0–73.9)48.0 (28.4–62.5)42.0 (37.4–44.5)<.001a
Sex, male:female11:512:74:6.214b
P-tau 181, pg/mL47.0 (43.0–48.2)22.8 (20.4–35.3)24.8 (17.1–37.7).098a
T-tau, pg/mL322 (231–456)359 (271–530)165 (130–267).02
NfL, pg/mL1047 (787–1811)686 (477–2350)437 (366–457).040
Aβ38, pg/mL1223 (734–2056)1403 (1012–2072)1497 (1349–2128).760a
Aβ40, pg/mL3281 (2502–4746)3869 (3636–5624)4543 (3948–5992).492a
Aβ42, pg/mL251 (105–336)352 (202–545)331 (260–515).461a
Aβ42/Aβ400.07 (0.05–0.09)0.07 (0.06–0.09)0.07 (0.07–0.08).537a
IL-1β, pg/mL0.28 (0.28–0.28)0.28 (0.27–0.28)0.27 (0.27–0.27).001c, d, e
IL-6, pg/mL1.12 (0.87–3.49)2.12 (0.71–3.20)1.14 (0.92–2.15).832c
IL-8, pg/mL87.5 (53.3–163)113 (60.0–143)52.7 (44.1–70.6).162c
TNF-α, pg/mL0.17 (0.16–0.23)0.29 (0.17–2.30)0.22 (0.17–0.34).156c
YKL-40, pg/mL198 (146–239)197 (149–313)83.6 (81.1–106).001c, d, e
sTREM2, pg/mL3882 (2205–4848)3349 (1879–4216)987 (823–1210)<.001c, d, e
GFAP, pg/mL444 (251–757)318 (283–582)138 (107–174).004c, d, e

Data are median and interquartile range (25th and 75th percentiles).

Abbreviations: Aβ, amyloid-β; Cov-Enceph, patients with COVID-19 and encephalitis; COVID-19, patiens with coronavirus disease 2019; Ctrl, neurologically healthy controls; Enceph, patients with non–COVID-19 related encephalitis; GFAP, glial fibrillary acidic protein; IL, interleukin; NfL, neurofilament light polypeptide; P-tau 181, phosphorylated tau-181; sTREM2, soluble triggering receptor expressed on myeloid cells 2; TNF-α, tumor necrosis factor-α; T-tau, total tau;

aANOVA test.

bBonferroni/Mann-Whitney test.

cKruskal-Wallis post hoc analysis.

dSignificant comparison Enceph versus Ctrl.

eSignificant comparison Cov-Enceph versus Ctrl. Note the lack of significant differences in biomarkers between Enceph and Cov-Enceph patients.

Statistical Analysis

All data were analyzed using SigmaStat (version 3.5, SPSS). The Kolmogorov-Smirnov test was used to analyze the distribution of each variable. ANOVA was used for parametric variables and the Kruskal-Wallis test for nonparametric variables for comparison between groups; for CSF biomarkers comparison the adjusted threshold was set to 0.05/13 biomarkers, thus 0.004. For categorical variables, a χ2 test was used. For direct subgroup comparisons, we used the Bonferroni test and Mann-Whitney tests, when appropriate. The matrix correlations were based on Pearson test.

RESULTS

Clinical Characteristics of Patients

The study included 64 participants, namely 18 CoV-Enceph, 21 Enceph, 4 COVID-19 patients (CoV), and 21 neurologically healthy controls (Ctrl). Most CoV-Enceph patients exhibited hyperproteinorrachia and mild pleocytosis with no differences between COVID-19 and non–COVID-19 patients, as previously reported [7]. As detailed in the Supplementary material, all CoV-Enceph had a negative result for infectious and autoimmune encephalitis screening, as well as for SARS-CoV-2 presence in CSF by reverse transcription PCR (RT-PCR).

CSF ACE2 Species Are Altered in Patients With Encephalitis; Differences Between Patients With Encephalitis With and Without SARS-CoV-2 Infection

Because soluble full-length species and fragments of ACE2 have been demonstrated in biological fluids [17], we analyzed CSF samples by western blotting, allowing the separation of individual species, and using ectodomain antibodies (recognizing full-length species and C-terminal truncated fragments), or an antibody raised against the C-terminus of human ACE2 (recognizing only full-length species); see scheme in Figure 1A. Analysis revealed a similar banding pattern to that reported for human plasma [17, 27], confirming the existence in the CSF of full-length ACE2 species of approximately 100 and 105 kDa, as well as an approximately 130-kDa species, all of which were immunoreactive to both the ectodomain and C-terminal antibodies (Figure 1B). Two additional bands of approximately 80 and 85 kDa were uniquely immunoreactive to the ectodomain antibodies AF933 and MAB933, thus they probably represent cleaved fragments (Figure 1B).

Several ACE2 full-length and fragment species coexist in CSF and result altered in patients with encephalitis with and without SARS-CoV-2 infection. A, Schematic representation of ACE2 as a transmembrane type I protein, and of the epitopes recognized by antibodies used in this study (not drawn to scale). ACE2 anti-ectodomain antibodies were AF933 (R&D Systems; goat polyclonal; immunogen, amino acid residues 18–740; 1:200 dilution) and MAB933 (R&D Systems; mouse monoclonal; immunogen, amino acid residues 18–740; 1:500 dilution); anti-C-terminus was antibody ab15348 (Abcam; rabbit polyclonal; immunogen, synthetic peptide corresponding to human ACE2 amino acid residues 788–805; 1:500 dilution). The signal peptide (aa 1–17), carboxypeptidase (aa 18-611), and transmembrane (aa 740–762) domains are represented. The sites of ACE2 shedding with ADAM17 are also indicated (between aa 652–659 and 697–416). The resulting ectodomain fragments are recognized by the AF933 and MAB933 antibodies, but not by the C-terminal antibody ab15348. B, Representative blots of ACE2 immunoreactive species in CSF from nondisease controls using different antibodies, as indicated. Abbreviations: aa, amino acid; ACE2, angiotensin-converting enzyme 2; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TM, transmembrane.
Figure 1.

Several ACE2 full-length and fragment species coexist in CSF and result altered in patients with encephalitis with and without SARS-CoV-2 infection. A, Schematic representation of ACE2 as a transmembrane type I protein, and of the epitopes recognized by antibodies used in this study (not drawn to scale). ACE2 anti-ectodomain antibodies were AF933 (R&D Systems; goat polyclonal; immunogen, amino acid residues 18–740; 1:200 dilution) and MAB933 (R&D Systems; mouse monoclonal; immunogen, amino acid residues 18–740; 1:500 dilution); anti-C-terminus was antibody ab15348 (Abcam; rabbit polyclonal; immunogen, synthetic peptide corresponding to human ACE2 amino acid residues 788–805; 1:500 dilution). The signal peptide (aa 1–17), carboxypeptidase (aa 18-611), and transmembrane (aa 740–762) domains are represented. The sites of ACE2 shedding with ADAM17 are also indicated (between aa 652–659 and 697–416). The resulting ectodomain fragments are recognized by the AF933 and MAB933 antibodies, but not by the C-terminal antibody ab15348. B, Representative blots of ACE2 immunoreactive species in CSF from nondisease controls using different antibodies, as indicated. Abbreviations: aa, amino acid; ACE2, angiotensin-converting enzyme 2; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TM, transmembrane.

Next, we examined the levels of ACE2 species in the CSF by quantitative fluorescent western blotting resolved with the AF933 antibody, which detected all ACE2 species (Figure 2A). CoV-Enceph patients displayed significantly higher levels of the 80-kDa fragment (71%; P = .040), but not the 85-kDa fragment, which was unaltered compared with controls (Figure 2B). The 130-kDa (139% increase; P = .008) and 105-kDa full-length species (144%; P = .031) also presented higher levels in CoV-Enceph patients, with a trend to an increase for the 100-kDa species (89%; P = .132; Figure 2B). Samples from Enceph patients displayed elevated levels for all ACE2 species compared with controls, including the 80-kDa (61%; P = .032) and 85-kDa (48%; P = .047) fragments, and full-length species, as well as the 130-kDa (88%; P = .007), 105-kDa (81%; P = .042), and 100-kDa (90%; P = .027) species. We did not observe changes in the levels of ACE2 species for CoV patients without major neurological symptoms compared to controls (Figure 2B). The finding was statistically significant, despite the low statistical power due to the small number of CoV cases without encephalitis.

Altered balance of ACE2 fragments is a feature of patients with encephalitis and SARS-CoV-2 infection. A, Levels of CSF ACE2 species were determined in neurologically healthy controls (Ctrl), patients with SARS-CoV-2 infection with encephalitis (CoV-Enceph), patients with encephalitis without SARS-CoV-2 infection (Enceph), and patients with SARS-CoV-2 infection without neurological symptoms (CoV). Samples were blotted with the AF933 antibody against the ectodomain of ACE2. B, Immunoreactivity levels were determined for the 85- and 80-kDa fragments and for the 130-, 105-, and 100-kDa full-length species. C, The relationship between ACE2 fragments, for each sample, are represented by the graph of the quotient obtained by dividing the level of immunoreactivity of the 80 kDa band by the level of immunoreactivity of the 85 kDa band (80/85 kDa). Values are presented as mean ± SEM; P values are indicated; significant changes compared with CoV-Enceph group are highlighted in bold. Abbreviations: ACE2, angiotensin-converting enzyme 2; AU, arbitrary unit; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Figure 2.

Altered balance of ACE2 fragments is a feature of patients with encephalitis and SARS-CoV-2 infection. A, Levels of CSF ACE2 species were determined in neurologically healthy controls (Ctrl), patients with SARS-CoV-2 infection with encephalitis (CoV-Enceph), patients with encephalitis without SARS-CoV-2 infection (Enceph), and patients with SARS-CoV-2 infection without neurological symptoms (CoV). Samples were blotted with the AF933 antibody against the ectodomain of ACE2. B, Immunoreactivity levels were determined for the 85- and 80-kDa fragments and for the 130-, 105-, and 100-kDa full-length species. C, The relationship between ACE2 fragments, for each sample, are represented by the graph of the quotient obtained by dividing the level of immunoreactivity of the 80 kDa band by the level of immunoreactivity of the 85 kDa band (80/85 kDa). Values are presented as mean ± SEM; P values are indicated; significant changes compared with CoV-Enceph group are highlighted in bold. Abbreviations: ACE2, angiotensin-converting enzyme 2; AU, arbitrary unit; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

ACE2 is cleaved from the plasma membrane resulting in fragments with a molecular mass approximately 20 kDa less than the original full-length species [15, 28]; thus, we cannot discount that part of the 100- and 105-kDa immunoreactive species correspond to cleaved fragments derived from the 130-kDa plasma-membrane ACE2 species. However, we found a good correlation between immunoreactivity levels resolved with the C-terminal antibody ab15348 and values of the same immunoreactive band estimated with the ectodomain antibody AF933 for the 100-kDa (r = 0.90; P < .001) and 105-kDa (r = 0.73; P < .001) bands, estimated separately or together (r = 0.85; P < .001).

As a general statement, an overall increase in ACE2 full-length species would translate to an increase in all the generated fragments, at least through constitutive shedding; however, a shedding mediated by interaction of the receptor with a ligand, such as SARS-CoV-2, could result in generation of a specific fragment. We further evaluated whether 80-kDa fragment shedding increased as a result of SARS-CoV-2 infection, by calculating a ratio for the ACE2 fragments, the 80 kDa/85 kDa ACE2 quotient (Figure 2C). Of note, COVID-19 patients with and without manifestation of neurological encephalitis showed a significant difference between the quotient compared to the other groups.

CSF TMPRSS2 Species Are Altered in Patients With Encephalitis But Are Not Associated With COVID-19

As mentioned above, the membrane-resident form of TMPRSS2 (a type II transmembrane protein) undergoes autoproteolytic cleavage at the C-terminal ectodomain to generate the protease-active fragment [20], but higher molecular mass species, which may represent full-length forms, have also been found by electrophoresis analysis in cellular media of cells expressing TMPRSS2 [20] and in human semen [29]. Thus, CSF samples were also analyzed by western blotting using either antibodies that recognize the N-terminus, the C-terminal, or the ectodomain of TMPRSS2; see scheme in Figure 3A. The evaluation of ectodomain antibodies indicated the existence in the CSF of full-length TMPRSS2 species of approximately 55 kDa, attributed to the zymogen, and minor amounts of a 25-kDa form only immunoreactive to C-terminal antibodies, attributed to the cleaved active fragment (Figure 3B).

TMPRSS2 full-length and active fragments coexist in CSF and their relative abundances are altered in patients with encephalitis. A, Schematic representation of TMPRSS2 as a transmembrane type II protein and of the epitopes recognized by the antibodies used in this study (not drawn to scale). TMPRSS2 was resolved with the ectodomain antibody 14437-1-AP (Proteintech; rabbit polyclonal; immunogen, a recombinant protein containing aa 108–492; 1:1000 dilution), the anti-C-terminus antibody H00007113-M05 (Abnova; mouse monoclonal; immunogen, a recombinant protein containing aa 383–492; 1:500 dilution), or the anti-N-terminus antibody OAAB04388 (Aviva Systems Biology; rabbit polyclonal; immunogen, synthetic peptide between aa 1 and 30; 1:1000 dilution). The site of autoproteolytic cleavage at the ectodomain to acquire proteolytic activity is indicated (aa 255–256). The resulting ectodomain fragment is recognized by the 14437-1-AP and C-terminal antibodies, but not by the N-terminal antibody OAAB04388. The transmembrane (aa 84–105) domain is also indicated. B, Representative blots of TMPRSS2 immunoreactive bands present in nondisease CSF samples using different antibodies, as indicated. Abbreviations: aa, amino acid; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TM, transmembrane; TMPRSS2, transmembrane protease serine 2.
Figure 3.

TMPRSS2 full-length and active fragments coexist in CSF and their relative abundances are altered in patients with encephalitis. A, Schematic representation of TMPRSS2 as a transmembrane type II protein and of the epitopes recognized by the antibodies used in this study (not drawn to scale). TMPRSS2 was resolved with the ectodomain antibody 14437-1-AP (Proteintech; rabbit polyclonal; immunogen, a recombinant protein containing aa 108–492; 1:1000 dilution), the anti-C-terminus antibody H00007113-M05 (Abnova; mouse monoclonal; immunogen, a recombinant protein containing aa 383–492; 1:500 dilution), or the anti-N-terminus antibody OAAB04388 (Aviva Systems Biology; rabbit polyclonal; immunogen, synthetic peptide between aa 1 and 30; 1:1000 dilution). The site of autoproteolytic cleavage at the ectodomain to acquire proteolytic activity is indicated (aa 255–256). The resulting ectodomain fragment is recognized by the 14437-1-AP and C-terminal antibodies, but not by the N-terminal antibody OAAB04388. The transmembrane (aa 84–105) domain is also indicated. B, Representative blots of TMPRSS2 immunoreactive bands present in nondisease CSF samples using different antibodies, as indicated. Abbreviations: aa, amino acid; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TM, transmembrane; TMPRSS2, transmembrane protease serine 2.

When we assessed the levels of TMPRSS2 in the CSF resolved with the ectodomain 14437-1-AP antibody (Figure 4A), Enceph samples displayed significantly increased levels of both the 25-kDa active species (227%; P = .011) and the 55-kDa zymogen (63%; P = .005) compared with controls (Figure 4B). Both CoV-Enceph and CoV without neurological symptoms showed unaltered levels in TMPRSS2 species when compared with controls (Figure 4B). The increased levels of the 55-kDa TMPRSS2 in Enceph patients was also significantly different when compared to the CoV (P = .039) or CoV-Enceph (P = .001) groups.

Altered balance of TMPRSS2 active fragment in patients with encephalitis. A, CSF samples from neurologically healthy controls (Ctrl), patients with SARS-CoV-2 infection with encephalitis (CoV-Enceph), patients with encephalitis without SARS-CoV-2 infection (Enceph), and patients with SARS-CoV-2 infection without neurological affectation (CoV) were probed with the 14437-1-AP antibody against the ectodomain of TMPRSS2. B, Immunoreactivity levels were determined for the 25-kDa fragment and for the 55-kDa full-length species. C, The relationship between the fragment and full-length species, for each sample, are represented by the graph of the quotient obtained from the 25-kDa compared to the levels of the 55-kDa TMPRSS2 species (25/55 kDa). Values are presented as mean ± SEM; P values are indicated; significant changes compared with CoV-Enceph group are highlighted in bold. Abbreviations: ACE2, angiotensin-converting enzyme 2; AU, arbitrary unit; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TMPRSS2, transmembrane protease serine 2.
Figure 4.

Altered balance of TMPRSS2 active fragment in patients with encephalitis. A, CSF samples from neurologically healthy controls (Ctrl), patients with SARS-CoV-2 infection with encephalitis (CoV-Enceph), patients with encephalitis without SARS-CoV-2 infection (Enceph), and patients with SARS-CoV-2 infection without neurological affectation (CoV) were probed with the 14437-1-AP antibody against the ectodomain of TMPRSS2. B, Immunoreactivity levels were determined for the 25-kDa fragment and for the 55-kDa full-length species. C, The relationship between the fragment and full-length species, for each sample, are represented by the graph of the quotient obtained from the 25-kDa compared to the levels of the 55-kDa TMPRSS2 species (25/55 kDa). Values are presented as mean ± SEM; P values are indicated; significant changes compared with CoV-Enceph group are highlighted in bold. Abbreviations: ACE2, angiotensin-converting enzyme 2; AU, arbitrary unit; CSF, cerebrospinal fluid; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TMPRSS2, transmembrane protease serine 2.

The extent of the increase in Enceph patients was different for TMPRSS2 species; the large increase in the 25-kDa fragment resulted in an altered 25 kDa/55 kDa quotient compared with controls (P = .025). Of note, the CoV-Enceph group also displayed differences in this 25 kDa/55 kDa quotient compared with controls (P = .004), but this resulted from a nonsignificant increase in the 25-kDa fragment (22% increase compared with controls; P = .36), while the 55-kDa full-length species tended to decrease, failing to reach significance (17% decrease compared with controls; P = .30) (Figure 4C).

Correlations Between CSF Markers, ACE2 Species, and TMPRSS2

The large subset of 45 patients with fully available CSF additional neuronal, amyloid-related, glial, and inflammatory CSF markers are listed in Table 1. Briefly, the encephalitis groups exhibited increased GFAP, sTREM2, YKL-40, and IL-1β compared to controls, with similar findings in the Cov-Enceph and Enceph groups.

Correlations between ACE2 species, neuronal and glial markers, and cytokine profiles are highlighted in the correlation matrix (Figure 5A and 5B). Briefly, several ACE2 and TMPRSS2 species exhibited a strong correlation with T-tau levels, and several of them also correlated with NfL, both of which are considered to be neuronal injury markers. Various ACE2 species, especially 105-kDa ACE2, correlated with inflammatory markers, namely IL-1β, IL-6, and IL-8, also after adjustment for T-tau or NfL levels (ie, independent from neuronal death/dysfunction). No correlations were found between TMPRSS2 fragments and glial markers (sTREM2, YKL-40, GFAP), while the 80-kDa ACE2 fragment correlated weakly, but significantly, with sTREM2 (r = 0.439) and GFAP (r = 0.388) (Figure 5C and 5D).

Correlation matrices based on Pearson test for all the determined biomarkers from patients with SARS-CoV-2 infection with encephalitis. A, Correlation matrix, corrected for age and sex, of the neurodegeneration markers analyzed in the cohort. B, Correlation matrix, corrected for age, sex, and NfL, of the cytokines and glial markers. Matrices show the value of each of the correlation coefficients; significant correlations are indicated: *P < .5, **P < .05, ***P < .001. C and D, Scatter plot adjusted for age and sex, consistent with the associated correlation matrix, representing correlation of the 80 kDa fragment with (C) sTREM2 and (D) GFAP (solid line represent the correlation, dashed lines represent the 95% confidence interval). Abbreviations: ACE2, angiotensin-converting enzyme 2; Aβ, amyloid-β; AU, arbitrary unit; GFAP, glial fibrillary acidic protein; IL-1β, interleukin 1β; NfL, neurofilament light polypeptide; P-tau, phosphorylated tau; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; sTREM2, soluble triggering receptor expressed on myeloid cells 2; TNF-α, tumor necrosis factor-α; T-tau, total tau.
Figure 5.

Correlation matrices based on Pearson test for all the determined biomarkers from patients with SARS-CoV-2 infection with encephalitis. A, Correlation matrix, corrected for age and sex, of the neurodegeneration markers analyzed in the cohort. B, Correlation matrix, corrected for age, sex, and NfL, of the cytokines and glial markers. Matrices show the value of each of the correlation coefficients; significant correlations are indicated: *P < .5, **P < .05, ***P < .001. C and D, Scatter plot adjusted for age and sex, consistent with the associated correlation matrix, representing correlation of the 80 kDa fragment with (C) sTREM2 and (D) GFAP (solid line represent the correlation, dashed lines represent the 95% confidence interval). Abbreviations: ACE2, angiotensin-converting enzyme 2; Aβ, amyloid-β; AU, arbitrary unit; GFAP, glial fibrillary acidic protein; IL-1β, interleukin 1β; NfL, neurofilament light polypeptide; P-tau, phosphorylated tau; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; sTREM2, soluble triggering receptor expressed on myeloid cells 2; TNF-α, tumor necrosis factor-α; T-tau, total tau.

DISCUSSION

Our findings show increased levels in a specific ACE2 fragment in the CSF of subjects with encephalitis and COVID-19 that is not present in subjects with encephalitis alone, or subjects with COVID-19 in the absence of severe manifestations. ACE2 full-length species in CSF should reflect the species in the brain, while fragments possibly originate from shedding after interaction with SARS-CoV-2. In a previous report on SARS-CoV-2–infected K18-hACE2 transgenic mice, we identified an early increase in the ACE2 fragment, probably representing the virus entry and subsequent proteolytic processing of the membrane receptor, and a later increase in full-length forms, probably representing tissular ACE2 upregulation as a consequence of massive inflammation [18]. Moreover, of the 2 ACE2 fragments characterized in nonpathological conditions, only the shorter fragment appeared elevated in plasma from mildly affected COVID-19 patients [17]. Similarly, in this study we found a particular increase in the shortest 80-kDa fragment in the CSF of CoV-Enceph patients, without parallel changes in other ACE2 fragments. Therefore, we deduced that particular increases in the shortest ACE2 fragment is a CSF-specific finding in infected subjects and may serve as a read-out to monitor penetrance of the SARS-CoV-2 in the brain leading to COVID-19–related encephalitis. Determination of such changes may serve to establish earlier and specific therapeutic interventions for to the causative agent.

Of note, COVID-19 subjects without neurological symptoms did not display changes in ACE2 fragments, possibly because of the lack of viral replication within the brain. CoV patients with no encephalitis symptoms, who presented an overall increase in the levels of all ACE2 species, neither noticed imbalance between ACE2 fragments, which appears as a specific feature of CoV-Enceph patients. Indeed, inflammation in patients with or without COVID-19 could cause an increase in tissue ACE2 expression, as well as neuronal release, as revealed by an increase in soluble full-length species, and also T-tau and NfL levels [30]. A recent study reported an upregulation of brain ACE2 in certain COVID-19 patients, with the highest expression observed in the patients with the most severe neurological symptoms [31]. In this regard, soluble ACE2 levels have been found to be increased in several inflammatory processes, including acute lung injury [32], and ACE2 expression is responsive to inflammatory signaling and can be upregulated by viral infections or interferon treatment [33]. Several analyses suggest that ACE2 is upregulated during acute viral infection [34–36]. Thus, although the expression of ACE2 mRNA could be downregulated in the initial stage of SARS-CoV-2 infection, an upregulation occurs in later stages [37], perhaps as a consequence of massive inflammation. Hence, ACE2 expression is expected to be increased in SARS-CoV-2–infected tissues in association with an excessive immune/inflammatory response [38], but probably not in cases of minor infection/mild inflammatory response. Together these results support a link between ACE2 and inflammation that is not exclusive to COVID-19, indicating that levels of soluble full-length species of ACE2 may serve to evaluate an exacerbated inflammatory response during disease progression. In the few cases with severe neurological involvement, ACE2 expression might be dysregulated for different reasons. Of note, no patient had a positive result for CSF SARS-CoV-2 by RT-PCR, in line with a potential indirect rather than direct effect of the virus on brain-specific inflammatory-mediated processes [39, 40].

ADAM17/10 are the main sheddases for cleaving ACE2 ectodomain constitutively or in response to a stimulus [15, 41], but TMPRSS2 may also cleave ACE2 at a different site than ADAM17/10, thus potentially leading to differential outcomes [42]. Whether or not the particular increase in the shortest ACE2 fragment, triggered by SARS-CoV-2 infection, is a result of TMPRSS2 viral recruitment needs to be clarified in further studies.

Here, we revealed that TMPRSS2 was present in CSF as the zymogen and a fragment attributed to the active protease, and their levels were only increased in Enceph patients without COVID-19, showing also subtle differences in the balance of the different species identified by the electrophoresis/western blot analysis. The TMPRSS2 gene encodes a so called isoform 2 protein [19], with a predicted molecular mass of approximately 55 kDa due to glycosylation, which is essential for zymogen activation and cell surface expression [43]. The resulting active fragment following zymogen cleavage has been described as an approximately 25-kDa species in cells overexpressing TMPRSS2 [44]. Regarding the presence of full-length species in CSF, it has been previously described in diverse human cell lines overexpressing TMPRSS2 that activation by zymogen cleavage occurs before reaching the cell surface, but in all cell extracts the more abundant species is the zymogen [43], thus most of the protein remains unprocessed. In any case, the finding of circulating TMPRSS2 full-length species was not surprising.

In CoV-Enceph, we failed to detect significant differences compared to controls for the levels of the 55-kDa zymogen or the 25-kDa fragment. However, we observed an interesting trend of an increased 25 kDa/55 kDa quotient, as the 25-kDa fragment displayed a nonsignificant increase, while the full-length 55-kDa species tended to decrease. However, in this case, this quotient did not serve to discriminate between Enceph patients with and without COVID-19, because in Enceph patients with increased TMPRSS2 the 25-kDa fragment was elevated in a higher proportion than that of the 55-kDa species. Despite the common feature in Enceph patients with and without COVID-19 regarding the imbalance between TMPRSS2 zymogen and the active fragment, the reason why CoV-Enceph patients do not present an overall increase in protein levels, as in Enceph patients, is unknown. Because the generation of a particular proteolytic fragment of ACE2 occurs in the presence of subtle changes in TMPRSS2 levels, it would be of interest to study levels of other proteases that can process ACE2, such as ADAM17/10 [42].

This study has several limitations that must be acknowledged. Most of the limitations are due to sample size and the analytical approach. In particular, the size of the COVID-19 group without encephalitis-related neurological symptoms is very small, because lumbar puncture was performed in these few cases only for ruling out atypical headache, but it is an invasive procedure indicated only for neurological symptoms. However, the cohort is the largest published with extensive CSF markers available so far [7]. The limited sample size also prevents further analysis by bioinformatics tools, which would be valuable in the future to decipher which changes in ACE2/TMPRSS2 are related to inflammatory mechanisms and which to the brain infection. Moreover, CSF levels were not compared with analysis of brain tissue, and we assumed, but did not determine, that ACE2/TMPRSS2 full-length species reflect tissue abundance. Furthermore, we conducted the analysis by western blotting, which has clear disadvantages in comparison to approaches for quantitative analysis such as enzyme-linked immunosorbent assay (ELISA); however, these methods do not detect subtle changes in specific species, reflecting specific outcomes of processing. Moreover, we have experience using fluorescent-based imaging for many proteins and particularly for ACE2 analysis [17, 18, 45]. The definition of the quotient between the 80-kDa SARS-CoV-2-related fragment and the 85-kDa fragment could result in an easy-to-use tool to reduce the quantitative limitations of western blotting, and increase the reliability and confidence of the neurochemical diagnosis. Moreover, many factors such as age, sex, and smoking, could potentially influence plasma ACE2 levels [46], as well as comorbidities or treatments that course with altered ACE2 levels [47]. The association of the shortest ACE2 fragment with SARS-CoV-2 cell infection could serve to prevent the impact of patient heterogeneity. Indeed, the severity of COVID-19 could also confound conclusions if only total ACE2 levels are considered. Thus, in patients with moderate disease or in the early phase of SARS-CoV-2 infection, ACE2 levels may appear unchanged given the decrease in full-length species from shedding, while inflammation, independent of tissue infection, can cause an increase in ACE2 expression [47], with an overall increase in all ACE2 species. Again, the quotient between the shortest ACE2 fragment and other species could serve to discriminate the occurrence of effective SARS-CoV-2 cellular penetrance. The development of specific biochemical methods for the determination of the SARS-CoV-2 related ACE2 fragment in particular fluids could serve in clinical practice to evaluate the occurrence of SARS-CoV-2 infection in particular tissues.

In conclusion, our study provides direct evidence of SARS-CoV-2–induced ACE2 expression and processing in the brain of COVID-19 patients presenting with encephalitis. In particular, the increase of the shortest ACE2 fragment related to the CoV-Enceph condition, and reflected in an altered 80 kDa/85 kDa quotient, could reveal the enhanced cleavage of the receptor triggered by SARS-CoV-2 and may predict occurrence of the rare encephalitis complication. Our previous report on plasma [17] and the present finding in CSF validate that monitoring increased levels of the shortest ACE2 fragment could serve for monitoring of viral penetrance in particular organs and the complications associated with COVID-19. Despite having related constraints, the consistent findings of the increased generation of a specific ACE2 fragment among SARS-CoV-2–infected patients bolster the robustness of this study's conclusions. Further studies, particularly follow-up studies to examine whether ACE2 fragments levels are restored in patients after recovery, are needed, as well in vitro studies designed to understand the molecular mechanisms underpinning this severe neurological complication of COVID-19.

Supplementary Data

Supplementary materials are available at The Journal of Infectious Diseases online (http://jid.oxfordjournals.org/). Supplementary materials consist of data provided by the author that are published to benefit the reader. The posted materials are not copyedited. The contents of all supplementary data are the sole responsibility of the authors. Questions or messages regarding errors should be addressed to the author.

Notes

Acknowledgments. The authors thank the study participants who took part in this research and the neurological teams involved in the COVID-19 pandemic management. We thank Sergio Fuster and Carmen Marquez for their technical assistance.

Author contribution. M. P. L., A. Pi., and J. S.-V. contributed to design of the work, acquisition, analysis, and interpretation of data. M. P. L., M.-S. G.-A., C. A.-G., C. Tr., C. To., V. Q., D. A., V. C., I. V., F. C., V. D. G., S. M., S. F., G. Z., N. J. A., H. Z., K. B., and A. Pa. acquired data. M. P. L., M.-S. G.-A., C. A.-G., C. Tr., A. P., and J. S.-V. performed data analysis and statistics. M. P. L., M.-S. G.-A., C. Tr., A. Pa., A. Pi., and J. S.-V. drafted and substantively revised the manuscript. All the authors revised and approved the submitted version.

Data availability. The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Financial support. This work was supported by Fondo de Investigaciones Sanitarias (grant number PI22-01329 to J. S.-V.) cofunded by the Fondo Europeo de Desarrollo Regional Investing in your Future; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III (to J. S.-V.); Instituto de Investigación Sanitaria y Biomédica de Alicante (to J. S.-V.); Direcció General de Ciència i Investigació, Generalitat Valenciana (grant number AICO/2021/308 to J. S.-V.); Conselleria d'Innovació, Universitats, Ciència i Societat Digital (grant number INVEST-2023-157 to J. S.-V.) cofunded by the Fondo Europeo de Desarrollo Regional Investing in your Future, Generalitat Valenciana; Spanish Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación (AEI/10.13039/501100011033), through the Severo Ochoa Programme for Centres of Excellence in R&D (grant number CEX2021-001165-S to J. S.-V.); the Generalitat Valenciana ACIF/2019 (to M. P. L.); the Italian Ministry of University and Research (to C. Tr.); European Union Horizon 2020 Innovative Medicines Initiative IDEA-FAST (grant number ID853981 to V. Q., A. Pa., and A. Pi.); Italian Ministry of Health PRIN 2021 RePlast (to C. To.); Swedish Research Council (grant numbers 2023-00356, 2022-01018, 2019-02397 to H. Z. and 2017-00915 and 2022-00732 to K. B.); European Union Horizon 2020 (grant number 101053962 to H. Z.); Swedish State Support for Clinical Research (grant number ALFGBG-71320 to H. Z.); the Alzheimer Drug Discovery Foundation, United States (grant number 201809-2016862 to H. Z.); Alzheimer's Association Alzheimer's Disease Strategic Fund (grant numbers ADSF-21-831376-C, ADSF-21-831381-C, ADSF-21-831377-C, and ADSF-24-1284328-C to H. Z., SG-23-1038904 QC to K. B., and ZEN-21-848495 Zenith Award to K. B.); the Bluefield Project; Cure Alzheimer's Fund; the Olav Thon Foundation; the Erling-Persson Family Foundation; Stiftelsen för Gamla Tjänarinnor; Hjärnfonden (grant number FO2022-0270 to H. Z., and FO2017-0243 and ALZ2022-0006 to K. B.); European Union Horizon 2020 Marie Skłodowska-Curie Actions MIRIADE project (grant number 860197 to H. Z.); European Union Joint Programme—Neurodegenerative Disease Research (grant number JPND2021-00694 to H. Z. and JPND2019-466-236 to K. B.); the National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre, and the UK Dementia Research Institute at UCL (grant number UKDRI-1003 to H. Z.); Swedish Government and the County Councils Avtal om Läkarutbildning och Forskning Agreement (grant numbers ALFGBG-715986 and ALFGBG-965240 to K. B.); Italian Ministry of University and Research (grant number 2017MYJ5TH PRIN COCOON and 20202THZAW PRIN 2021 RePlast to A. Pa. and A. Pi.); Italian Ministry of Health (grant numbers RF-2018-12366209, RF-2019-12369272, and PNRR-Health PNRR-MAD-2022-12376110 to A. Pa. and A. Pi.); Airalzh Foundation Life-Bio grant (grant number AGYR2021 to A. Pi.); and the LIMPE-DISMOV Foundation Segala Grant 2021 (to A. Pi.).

References

1

Ellul
 
MA
,
Benjamin
 
L
,
Singh
 
B
, et al.  
Neurological associations of COVID-19
.
Lancet Neurol
 
2020
;
19
:
767
83
.

2

Song
 
E
,
Zhang
 
C
,
Israelow
 
B
, et al.  
Neuroinvasion of SARS-CoV-2 in human and mouse brain
.
J Exp Med
 
2021
;
218
:
e20202135
.

3

Pilotto
 
A
,
Padovani
 
A
; ENCOVID-BIO Network.
Reply to the letter ‘COVID-19-associated encephalopathy and cytokine-mediated neuroinflammation’
.
Ann Neurol
 
2020
;
88
:
861
2
.

4

Moriguchi
 
T
,
Harii
 
N
,
Goto
 
J
, et al.  
A first case of meningitis/encephalitis associated with SARS-coronavirus-2
.
Int J Infect Dis
 
2020
;
94
:
55
8
.

5

Serrano
 
GE
,
Walker
 
JE
,
Tremblay
 
C
, et al.  
SARS-CoV-2 brain regional detection, histopathology, gene expression, and immunomodulatory changes in decedents with COVID-19
.
J Neuropathol Exp Neurol
 
2022
;
81
:
666
95
.

6

Placantonakis
 
DG
,
Aguero-Rosenfeld
 
M
,
Flaifel
 
A
, et al.  
SARS-CoV-2 is not detected in the cerebrospinal fluid of encephalopathic COVID-19 patients
.
Front Neurol
 
2020
;
11
:
587384
.

7

Pilotto
 
A
,
Masciocchi
 
S
,
Volonghi
 
I
, et al.  
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encephalitis is a cytokine release syndrome: evidences from cerebrospinal fluid analyses
.
Clin Infect Dis
 
2021
;
73
:
e3019
26
.

8

Gasmi
 
A
,
Tippairote
 
T
,
Mujawdiya
 
PK
, et al.  
Neurological involvements of SARS-CoV2 infection
.
Mol Neurobiol
 
2021
;
58
:
944
9
.

9

Dong
 
M
,
Zhang
 
J
,
Ma
 
X
, et al.  
ACE2, TMPRSS2 distribution and extrapulmonary organ injury in patients with COVID-19
.
Biomed Pharmacother Biomedecine Pharmacother
 
2020
;
131
:
110678
.

10

Qiao
 
J
,
Li
 
W
,
Bao
 
J
, et al.  
The expression of SARS-CoV-2 receptor ACE2 and CD147, and protease TMPRSS2 in human and mouse brain cells and mouse brain tissues
.
Biochem Biophys Res Commun
 
2020
;
533
:
867
71
.

11

Ramani
 
A
,
Müller
 
L
,
Ostermann
 
PN
, et al.  
SARS-CoV-2 targets neurons of 3D human brain organoids
.
EMBO J
 
2020
;
39
:
e106230
.

12

Villadiego
 
J
,
García-Arriaza
 
J
,
Ramírez-Lorca
 
R
, et al.  
Full protection from SARS-CoV-2 brain infection and damage in susceptible transgenic mice conferred by MVA-CoV2-S vaccine candidate
.
Nat Neurosci
 
2023
;
26
:
226
38
.

13

Tipnis
 
SR
,
Hooper
 
NM
,
Hyde
 
R
,
Karran
 
E
,
Christie
 
G
,
Turner
 
AJ.
 
A human homolog of angiotensin-converting enzyme. Cloning and functional expression as a captopril-insensitive carboxypeptidase
.
J Biol Chem
 
2000
;
275
:
33238
43
.

14

Niehues
 
RV
,
Wozniak
 
J
,
Wiersch
 
F
, et al.  
The collectrin-like part of the SARS-CoV-1 and -2 receptor ACE2 is shed by the metalloproteinases ADAM10 and ADAM17
.
FASEB J
 
2022
;
36
:
e22234
.

15

Lambert
 
DW
,
Yarski
 
M
,
Warner
 
FJ
, et al.  
Tumor necrosis factor-alpha convertase (ADAM17) mediates regulated ectodomain shedding of the severe-acute respiratory syndrome-coronavirus (SARS-CoV) receptor, angiotensin-converting enzyme-2 (ACE2)
.
J Biol Chem
 
2005
;
280
:
30113
9
.

16

Valenzuela
 
R
,
Pedrosa
 
MA
,
Garrido-Gil
 
P
, et al.  
Interactions between ibuprofen, ACE2, renin-angiotensin system, and spike protein in the lung. Implications for COVID-19
.
Clin Transl Med
 
2021
;
11
:
e371
.

17

García-Ayllón
 
M-S
,
Moreno-Pérez
 
O
,
García-Arriaza
 
J
, et al.  
Plasma ACE2 species are differentially altered in COVID-19 patients
.
FASEB J
 
2021
;
35
:
e21745
.

18

Lennol
 
MP
,
García-Ayllón
 
M-S
,
Esteban
 
M
,
García-Arriaza
 
J
,
Sáez-Valero
 
J.
 
Serum angiotensin-converting enzyme 2 as a potential biomarker for SARS-CoV-2 infection and vaccine efficacy
.
Front Immunol
 
2022
;
13
:
1001951
.

19

Paoloni-Giacobino
 
A
,
Chen
 
H
,
Peitsch
 
MC
,
Rossier
 
C
,
Antonarakis
 
SE.
 
Cloning of the TMPRSS2 gene, which encodes a novel serine protease with transmembrane, LDLRA, and SRCR domains and maps to 21q22.3
.
Genomics
 
1997
;
44
:
309
20
.

20

Afar
 
DE
,
Vivanco
 
I
,
Hubert
 
RS
, et al.  
Catalytic cleavage of the androgen-regulated TMPRSS2 protease results in its secretion by prostate and prostate cancer epithelia
.
Cancer Res
 
2001
;
61
:
1686
92
.

21

Wettstein
 
L
,
Kirchhoff
 
F
,
Münch
 
J.
 
The transmembrane protease TMPRSS2 as a therapeutic target for COVID-19 treatment
.
Int J Mol Sci
 
2022
;
23
:
1351
.

22

Kassif Lerner
 
R
,
Stein Yeshurun
 
M
,
Hemi
 
R
, et al.  
The predictive value of serum ACE2 and TMPRSS2 concentrations in patients with COVID-19—a prospective pilot study
.
J Pers Med
 
2022
;
12
:
622
.

23

Lee
 
J-H
,
Lee
 
CE
,
Yoo
 
Y
, et al.  
Soluble ACE2 and TMPRSS2 levels in the serum of asthmatic patients
.
J Korean Med Sci
 
2022
;
37
:
e65
.

24

Venkatesan
 
A
,
Tunkel
 
AR
,
Bloch
 
KC
, et al.  
Case definitions, diagnostic algorithms, and priorities in encephalitis: consensus statement of the international encephalitis consortium
.
Clin Infect Dis
 
2013
;
57
:
1114
28
.

25

Pilotto
 
A
,
Masciocchi
 
S
,
Volonghi
 
I
, et al.  
Clinical presentation and outcomes of severe acute respiratory syndrome coronavirus 2-related encephalitis: the ENCOVID multicenter study
.
J Infect Dis
 
2021
;
223
:
28
37
.

26

Graus
 
F
,
Titulaer
 
MJ
,
Balu
 
R
, et al.  
A clinical approach to diagnosis of autoimmune encephalitis
.
Lancet Neurol
 
2016
;
15
:
391
404
.

27

Lew
 
RA
,
Warner
 
FJ
,
Hanchapola
 
I
, et al.  
Angiotensin-converting enzyme 2 catalytic activity in human plasma is masked by an endogenous inhibitor
.
Exp Physiol
 
2008
;
93
:
685
93
.

28

Xiao
 
F
,
Zimpelmann
 
J
,
Agaybi
 
S
,
Gurley
 
SB
,
Puente
 
L
,
Burns
 
KD.
 
Characterization of angiotensin-converting enzyme 2 ectodomain shedding from mouse proximal tubular cells
.
PLoS One
 
2014
;
9
:
e85958
.

29

Chen
 
Y-W
,
Lee
 
M-S
,
Lucht
 
A
, et al.  
TMPRSS2, a serine protease expressed in the prostate on the apical surface of luminal epithelial cells and released into semen in prostasomes, is misregulated in prostate cancer cells
.
Am J Pathol
 
2010
;
176
:
2986
96
.

30

Padovani
 
A
,
Canale
 
A
,
Schiavon
 
L
, et al.  
Is amyloid involved in acute neuroinflammation? A CSF analysis in encephalitis
.
Alzheimers Dement
 
2022
;
18
:
2167
75
.

31

Lindskog
 
C
,
Méar
 
L
,
Virhammar
 
J
, et al.  
Protein expression profile of ACE2 in the normal and COVID-19-affected human brain
.
J Proteome Res
 
2022
;
21
:
2137
45
.

32

Jia
 
H.
 
Pulmonary angiotensin-converting enzyme 2 (ACE2) and inflammatory lung disease
.
Shock
 
2016
;
46
:
239
48
.

33

Smith
 
JC
,
Sausville
 
EL
,
Girish
 
V
, et al.  
Cigarette smoke exposure and inflammatory signaling increase the expression of the SARS-CoV-2 receptor ACE2 in the respiratory tract
.
Dev Cell
 
2020
;
53
:
514
29.e3
.

34

Garvin
 
MR
,
Alvarez
 
C
,
Miller
 
JI
, et al.  
A mechanistic model and therapeutic interventions for COVID-19 involving a RAS-mediated bradykinin storm
.
eLife
 
2020
;
9
:
e59177
.

35

Luo
 
J
,
Lu
 
S
,
Yu
 
M
, et al.  
The potential involvement of JAK-STAT signaling pathway in the COVID-19 infection assisted by ACE2
.
Gene
 
2021
;
768
:
145325
.

36

Gheware
 
A
,
Ray
 
A
,
Rana
 
D
, et al.  
ACE2 protein expression in lung tissues of severe COVID-19 infection
.
Sci Rep
 
2022
;
12
:
4058
.

37

Guo
 
N
,
Li
 
X
,
Han
 
Z
, et al.  
Expression of angiotensin converting enzyme 2 mRNA in different SARS-CoV-2 infection states and times
.
J Biomol Struct Dyn
 
2023
;
41
:
11255
61
.

38

Feng
 
Q
,
Li
 
L
,
Wang
 
X.
 
Identifying pathways and networks associated with the SARS-CoV-2 cell receptor ACE2 based on gene expression profiles in normal and SARS-CoV-2-infected human tissues
.
Front Mol Biosci
 
2020
;
7
:
568954
.

39

Singh
 
NA
,
Tosakulwong
 
N
,
Graff-Radford
 
J
, et al.  
APOE ε4 influences medial temporal atrophy and tau deposition in atypical Alzheimer's disease
.
Alzheimers Dement
 
2023
;
19
:
784
96
.

40

Padovani
 
A
,
Pilotto
 
A.
 
Looking for lights in the fog of long-term neurological COVID
.
Nat Rev Neurol
 
2023
;
19
:
7
8
.

41

Chen
 
Q
,
Li
 
Y
,
Bie
 
B
, et al.  
P38 MAPK activated ADAM17 mediates ACE2 shedding and promotes cardiac remodeling and heart failure after myocardial infarction
.
Cell Commun Signal
 
2023
;
21
:
73
.

42

Heurich
 
A
,
Hofmann-Winkler
 
H
,
Gierer
 
S
,
Liepold
 
T
,
Jahn
 
O
,
Pöhlmann
 
S.
 
TMPRSS2 and ADAM17 cleave ACE2 differentially and only proteolysis by TMPRSS2 augments entry driven by the severe acute respiratory syndrome coronavirus spike protein
.
J Virol
 
2014
;
88
:
1293
307
.

43

Zhang
 
Y
,
Sun
 
S
,
Du
 
C
, et al.  
Transmembrane serine protease TMPRSS2 implicated in SARS-CoV-2 infection is autoactivated intracellularly and requires N-glycosylation for regulation
.
J Biol Chem
 
2022
;
298
:
102643
.

44

Shulla
 
A
,
Heald-Sargent
 
T
,
Subramanya
 
G
,
Zhao
 
J
,
Perlman
 
S
,
Gallagher
 
T.
 
A transmembrane serine protease is linked to the severe acute respiratory syndrome coronavirus receptor and activates virus entry
.
J Virol
 
2011
;
85
:
873
82
.

45

Lennol
 
MP
,
Ashton
 
NJ
,
Moreno-Pérez
 
O
, et al.  
Transient changes in the plasma of astrocytic and neuronal injury biomarkers in COVID-19 patients without neurological syndromes
.
Int J Mol Sci
 
2023
;
24
:
2715
.

46

Cai
 
H.
 
Sex difference and smoking predisposition in patients with COVID-19
.
Lancet Respir Med
 
2020
;
8
:
e20
.

47

Zamorano Cuervo
 
N
,
Grandvaux
 
N.
 
ACE2: evidence of role as entry receptor for SARS-CoV-2 and implications in comorbidities
.
eLife
 
2020
;
9
:
e61390
.

Author notes

Present affiliation: Institute of Neurophysiopathology (INP UMR7051), CNRS, Aix-Marseille Université, Marseille, France.

Potential conflicts of interest. H. Z. has served at scientific advisory boards and/or as a consultant for Abbvie, Acumen, Alector, Alzinova, ALZPath, Amylyx, Annexon, Apellis, Artery Therapeutics, AZTherapies, Cognito Therapeutics, CogRx, Denali, Eisai, Merry Life, Nervgen, Novo Nordisk, Optoceutics, Passage Bio, Pinteon Therapeutics, Prothena, Red Abbey Labs, reMYND, Roche, Samumed, Siemens Healthineers, Triplet Therapeutics, and Wave; has given lectures in symposia sponsored by Alzecure, Biogen, Cellectricon, Fujirebio, Lilly, and Roche; and is a cofounder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). K. B. has served as a consultant and at advisory boards for Acumen, ALZpath, BioArctic, Biogen, Eisai, Lilly, Moleac, Novartis, Ono Pharma, Prothena, Roche Diagnostics, and Siemens Healthineers; served at data monitoring committees for Julius Clinical and Novartis; given lectures, produced educational materials, and participated in educational programs for AC Immune, Biogen, Celdara Medical, Eisai, and Roche Diagnostics; and is a cofounder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program. M. S. C. has given lectures at symposia sponsored by Almirall, Eli Lilly, Novo Nordisk, Roche Diagnostics, and Roche Farma; received consultancy fees (paid to the institution) from Roche Diagnostics; served on advisory boards of Roche Diagnostics and Grifols; was granted a project and is a site investigator of a clinical trial (funded to the institution) by Roche Diagnostics; and has received in-kind support for research (to the institution) from ADx Neurosciences, Alamar Biosciences, Avid Radiopharmaceuticals, Eli Lilly, Fujirebio, Janssen Research and Development, and Roche Diagnostics. N. J. A. has received consultancy/speaker fees from Bioartic, Biogen, Lilly, Quanterix, and Alamar Biosciences. A. Pa. has received grant support from the Ministry of Health and Ministry of Education, Research and University, and CARIPLO Foundation; and personal compensation as a consultant/scientific advisory board member for Biogen, Lundbeck, Roche, Nutricia, and General Healthcare. A. Pi. has received consultancy/speaker fees from Abbvie, Bial, Lundbeck, Roche, and Zambon pharmaceuticals. All other authors report no potential conflicts.

All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary data