Keywords
Monocytes; Leishmania aethiopica; association; phagocytosis; ROS;
chemokines; cytokines.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Abstract
In Ethiopia, cutaneous leishmaniasis (CL) is caused by Leishmania (L.) aethiopica and
presents as a spectrum of clinical forms ranging from self-healing to persistent,
disfiguring lesions.
Monocytes are some of the first cells to encounter Leishmania parasites in the host.
Despite this, their role in L. aethiopica infection has not been investigated. In this study,
primary human monocytes were co-incubated with different L. aethiopica isolates –
three isolates recently collected from CL patients and one long-term cultured isolate –
and their main effector functions were evaluated.
After 2 hours of co-incubation, over 30% of monocytes associated with all four L.
aethiopica isolates, with significantly higher association with recently isolated L.
aethiopica than with the long-term cultured parasites. Phagocytosis of L. aethiopica
parasites by monocytes was confirmed by confocal microscopy.
Co-incubation of monocytes with all L. aethiopica isolates resulted in upregulation of
reactive oxygen species in monocytes.
Following incubation of monocytes with all L. aethiopica, five chemokines – monocyte
chemoattractant protein (MCP)-1, MCP-4, macrophage inflammatory protein (MIP)-1α,
MIP-1β, and interleukin (IL-8) – and four cytokines – tumour necrosis factor (TNF)-α, IL-
1β, IL-6, and IL-10 – were detected.
Our results show that the interaction of monocytes with the long-term cultured L.
aethiopica differ as compared to those recently collected from CL patients. Furthermore,
we define an in vitro model for the investigation of monocyte effector functions that may
be useful to elucidate the role that parasites and their interactions with monocytes play
in the different presentations of lesions caused by L. aethiopica.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Introduction
The leishmaniases are a group of neglected tropical diseases caused by protozoan
parasites of the genus Leishmania. These diseases present as a wide spectrum of
clinical manifestations, ranging from self-healing skin lesions to potentially fatal visceral
infections. They are primarily classified into two main forms: visceral leishmaniasis (VL)
and cutaneous leishmaniasis (CL). VL is characterised by the dissemination of
Leishmania parasites to internal organs such as the liver, spleen and bone marrow [1,
2]. CL includes a variety of presentations where the parasite primarily infects the skin
and mucosal tissue. CL is endemic in 90 countries, with 205,986 new cases reported by
the WHO in 2022 [3]. Eight countries – Afghanistan, Algeria, Brazil, Colombia, Iran, Iraq,
Peru and Syria – accounted for 85% of the global cases, and children under 15 years
old represented 37% of CL cases worldwide [3]. The burden of CL includes permanent
scarring and potential disfigurement, resulting in important psychological effects and
social stigmatisation [4-6].
In Ethiopia, CL present mainly as three clinical forms [7, 8]:
- Localised cutaneous leishmaniasis (LCL), which is the most common form of CL,
presents as one or more ulcerative skin lesions that develop at or near the site of the
sandfly bite [7]. While LCL is typically self-healing, treatment is sometimes provided for
persistent lesions [7].
- Mucocutaneous leishmaniasis (MCL) is a severe and debilitating form of CL that
predominantly affects the mucosal tissues of the nose, mouth, and pharynx [7].
- Diffuse cutaneous leishmaniasis (DCL) is a chronic form of CL characterised by the
widespread dissemination of non-ulcerating lesions [7, 8]. Both DCL and MCL require
treatment [9].
According to the most recent WHO data, Ethiopia reported 1505 CL cases in 2023 [10];
however, this is likely to be an underestimate of the actual burden due to
underreporting, as a result of limited resources, remoteness of endemic areas, and the
lack of a system to report cases [11, 12]. The Ethiopian Ministry of Health reported an
estimate of 20,000 to 30,000 yearly CL cases in 2013 [7]. The number of people at risk
of CL in Ethiopia was estimated at 29 million [13].
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Leishmania parasites are transmitted during the blood meal of female sandflies [14]. L.
aethiopica causes most CL cases in Ethiopia [8]. Three Phlebotomus (P.) species have
been identified as vectors for L. aethiopica: P. pedifer and P. longipes are considered to
be the main vectors, with P. sergenti only identified once as naturally infected with L.
aethiopica [15-17].
Since sandflies feed by lacerating capillaries to create a blood pool, monocytes are
likely to be among the first cells to come into contact with Leishmania parasites [18].
Monocytes are circulating immune cells that make up ~10% of peripheral blood cells in
humans [19]. In the response to infection, monocytes are rapidly recruited and can
perform a range of antimicrobial functions, including phagocytosis, production of
reactive oxygen species (ROS), and the release of a range of cytokines and
chemokines [19]. Furthermore, monocytes are able to differentiate into dendritic cells
and macrophages [20]. In humans, monocytes are divided into at least three subsets,
based on the expression of CD14 and CD16 [21]. The subsets have distinct functions
that have been characterised by both functional and ribonucleic acid sequencing (RNA-
seq) studies: classical monocytes (CD14++ CD16-) mainly play a role in phagocytosis,
adhesion and migration; intermediate monocytes predominantly carry out antigen
presentation (CD14++ CD16+); while non-classical monocytes (CD14+ CD16+) are
principally responsible for inflammatory cytokine production, and complement- and Fc
receptor-mediated phagocytosis [22-24]. However, RNA-seq studies have proposed
different ways of classifying monocytes, often into more subsets, noting the
heterogeneity within each of the three conventional subsets [25, 26].
Human monocytes, isolated from peripheral blood, have been shown to become
infected by several species of Leishmania in vitro [27] and produce reactive oxygen
species (ROS). Human monocytes were shown to kill L. donovani promastigotes in a
hydrogen peroxide-dependent manner [28]. Hoover et al. showed monocyte killing of L.
donovani amastigotes when interferon (IFN)-γ was added to cultures, although the
mechanism of killing was not determined [29]. Another study showed IFN-γ induced
killing of L. donovani by human monocytes, which correlated with increased hydrogen
peroxide production [30]. Ritter and Moll demonstrated that the chemokine monocyte
chemoattractant protein (MCP)-1 acted synergistically with IFN-γ to induce human
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
monocyte killing of L. major, in a process correlating with increased superoxide
production [31]. A more recent study showed that classical, but not intermediate and
non-classical, monocytes killed L. braziliensis amastigotes in a ROS-dependent manner
[32].
Most of the work on monocyte effector functions in response to Leishmania parasites
has been done with parasite isolates that had been maintained in culture for an
extended period of time and/or passaged in vivo in animals, but rarely with parasites
recently isolated from patients. The only study assessing the interaction between blood
immune cells and L. aethiopica was done with a parasite that was kept in culture for
decades. Here, the main aim was to investigate different effector functions of human
monocytes to three recently isolated L. aethiopica and compare those to long-term
cultured L. aethiopica.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Materials and methods
Leishmania aethiopica parasites
Four isolates of L. aethiopica were used in this study: one long-term cultured isolate,
(MHOM/ET/72/L100) [33, 34] referred to as L. aethiopica lab, and three isolates recently
obtained from LCL patients in Lay Gayint, Amhara region, north-west Ethiopia, as
described in [35, 36], referred to as clinical isolates L. aethiopica 1, 2 and 3. These
parasites were grown from skin scrapings and were frozen as soon as they reached
stationary phase. They were sent to the UK, where large stocks of frozen parasites
were prepared for further use. Once thawed, the parasites were used for a maximum of
3 weeks.
Parasites were grown in M199 medium supplemented with 10 μM hemin, 1x Eagle’s
minimum essential medium (MEM) vitamin solution, 25 mM HEPES, 0.2 μM folic acid,
100 µM adenine, 10% heat-inactivated fetal bovine serum (HI FBS), 8 μM 6-biopterin
(Sigma-Aldrich, USA), 100 units/mL penicillin and 100 μg/mL streptomycin (Thermo
Fisher Scientific, USA) and were incubated at 26°C. Stationary phase L. aethiopica
were enriched for metacyclic parasites by eliminating non-metacyclic parasites by
peanut agglutination, as described in [37]. Of note, the percentage of metacyclic
parasites was significantly lower with L. aethiopica lab than each of the three clinical
isolates (Table S1).
Parasites were stained using 1μM CellTrace™ Far Red dye (Thermo Fisher Scientific,
USA). Over 98% of parasites were stained with the Far Red dye.
Monocytes
Primary human monocytes were purified from the peripheral blood of healthy
volunteers. 100-120 mL of blood was collected in heparin tubes (BD, USA) and
monocytes were isolated by double gradient centrifugation [38]. The blood was first
overlayed onto an equal volume of Histopaque®-1077 Hybri-Max™ (Sigma-Aldrich,
USA) to collect the peripheral blood mononuclear cells (PBMCs), that were then
overlayed onto an equal volume of 46% Percoll® solution. Monocytes were obtained
from the interphase ring. All steps were performed in polypropylene tubes to avoid
monocyte adhesion. Monocyte purity following purification was >80%.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
2x105 monocytes were incubated alone or in the presence of 2x106 L. aethiopica
parasites stained with Far Red dye (L. aethiopicaFR). Incubations were performed in
RPMI medium (Thermo Fisher Scientific, USA) supplemented with 5% HI FBS (Sigma-
Aldrich, USA), 100 units/mL penicillin and 100 μg/mL streptomycin (Thermo Fisher
Scientific, USA) in 5 mL round-bottom polypropylene tubes at 37°C, 5% CO2, for 2
hours. The supernatants were collected and frozen at -20oC until further use.
Flow cytometry: monocyte association with L. aethiopica and ROS production
After 1 hour 45 minutes of incubation, cells were stained with anti-CD14PE (clone M5E2;
BioLegend, USA) and anti-CD16eFluor™ 450 (clone CB16; Thermo Fisher Scientific, USA)
for 15 minutes. The different monocytes subsets were defined as follows: classical
monocytes as CD14++ CD16-, intermediate monocytes as CD14++ CD16+ and non-
classical monocytes as CD14+ CD16+ (Figure S1). Cells were then washed twice in
PBS and were resuspended in 500 µL of ROS detection solution from the ROS-IDTM
Total ROS detection kit (Enzo Life Sciences, USA). Cells were incubated in ROS
detection solution for a further 30 minutes at 37°C with 5% CO2, after which tubes were
placed on ice and immediately processed. The percentage of monocyte subsets
associated with each L. aethiopicaFR isolate and the ROS production were assessed by
flow cytometry.
The percentages of live monocytes after the 2-hour incubation were measured by
exclusion of Zombie Violet (BioLegend, USA) and were >98%.
Flow cytometry acquisition was performed using an LSR II (BD, USA) and data were
analysed on FlowJo™ v10.10 Software (BD, USA).
Confocal microscopy
3x105 purified monocytes were incubated alone or in the presence of 3x106 L.
aethiopicaFR parasites for 2 hours, before being washed in PBS and transferred onto 24
mm x 24 mm glass coverslips (Thermo Fisher Scientific, USA) precoated with an
excess of 0.01% poly-L-lysine. After 30 minutes at room temperature, the coverslips
were washed with PBS and fixed with 2% paraformaldehyde (Sigma-Aldrich, USA).
Twenty minutes later, the coverslips were washed twice in PBS and incubated with a
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
rabbit anti-human CD14 IgG polyclonal antibody (PA5-13305, Thermo Fisher Scientific,
USA) and incubated overnight at 4°C. The coverslips were washed with PBS and Alexa
Fluor™ 488 conjugated goat anti-rabbit IgG antibody (A27034, Thermo Fisher Scientific,
USA) was added and incubated for 1 hour at room temperature. Coverslips were then
transferred to a 6-well plate and washed with PBS.
The coverslips were then placed over 10 µL of VECTASHIELD mounting medium with
DAPI (Vector Laboratories, USA) on a glass microscope slide.
Slides were visualised under an SP8 LIGHTNIGHT confocal microscope (Leica
Microsystems, Germany) with a 100x objective and images were acquired using the
LAS X software (Leica Microsystems, Germany). 3-colour imaging was performed to
assess staining with DAPI, CD14 staining of monocytes and the Far Red label of L.
aethiopica. Images were acquired as z-stacks of at least 20 images to enable 3-
dimensional visualisation. Images were analysed using Fiji software [39].
Chemokine and cytokine measurements
The levels of the following chemokines: IL-8, eotaxin, eotaxin-3, interferon-γ-induced
protein (IP)-10, monocyte chemoattractant protein (MCP)-1, MCP-4, macrophage-
derived chemokines (MDC), macrophage inflammatory protein (MIP)-1α, MIP-1β and
thymus- and activation regulated chemokine (TARC) and cytokines: IFN-γ, IL-1β, IL-2,
IL-4, IL-6, IL-10, IL-12p70, IL-13, TNF-α were measured by multiplex assay using V-
PLEX Proinflammatory Panel 1 and Chemokine Panel 1 Kits (Meso Scale Diagnostics,
Rockville, USA).
Statistics
Data were evaluated for statistical differences using Mann-Whitney and Kruskal-Wallis
tests (GraphPad Prism 10). Differences were considered statistically significant at
p<0.05. Unless otherwise specified, results are expressed as mean ± standard
deviation (SD).
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Results
Association of monocytes with L. aethiopica
The ability of the different monocyte subsets to associate with L. aethiopica was
determined. Results presented in Figure 1A-D and Table S2 show that all three subsets
had the ability to associate with monocytes, with the classical monocytes displaying the
highest mean association. Of note, not all monocytes associated with L. aethiopica
(hereafter referred to as unassociated monocytes).
We also compared the association between each monocyte subset and the different
clinical L. aethiopica isolates and show that there was no significant difference in
association (Figure 1E-G and Table S3). However, the percentages of monocytes
associated with L. aethiopica lab were significantly lower than with the clinical isolates,
except for the intermediate monocytes co-incubated with L. aethiopica 3 (p=0.1049)
(Figure 1E-G and Table S4).
The flow cytometry experiments described above showed that primary human
monocytes have the ability to associate with all L. aethiopica parasites. However, the
co-localisation of flow cytometry signals (monocytes and L. aethiopica) does not
necessarily mean internalisation of the parasite. Therefore, confocal microscopy was
used to demonstrate that monocytes have the ability to phagocytose L. aethiopica.
Results
presented in Figure 2A-E and Figure S2 confirm that L. aethiopica are
internalised by monocytes.
ROS production
Next, we investigated whether the different monocyte subsets produced an oxidative
burst in response to co-incubation with the parasites. Results presented in Table S5
show that the mean MFIs of ROS in the unassociated and the associated monocyte
subsets were always higher as compared to baseline, however it was not always
significant. It was also higher in the associated monocytes than in the unassociated
monocytes, although it was not significant for the classical subset incubated with L.
aethiopica 1 (p=0.0584, Table S5).
All three different monocyte subsets associated with L. aethiopica produced similar
levels of ROS (Figure 3A-D, Table S6). Of note, unassociated classical monocytes
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
produced higher levels of ROS than unassociated non-classical monocytes with L.
aethiopica lab (Table S6). For each monocyte subset, there was no difference in ROS
production in response to all parasite clinical isolates (Table S7). When compared to L.
aethiopica lab, unassociated classical and non-classical monocytes produced
significantly higher levels of ROS following co-incubation with L. aethiopica 3 (Table
S8).
Chemokine and cytokine production
Chemokines
The levels of eotaxin, eotaxin-3, IP-10, MDC and TARC were below the detection limit.
In contrast, IL-8, MCP-1, MCP4, MIP-1α and MIP-1β were significantly upregulated in
response to all parasite isolates (Table S9). No significant differences were observed in
the production of chemokines following co-incubation with the three clinical isolates
(Figure 4 and Table S10). Notably, the levels of MIP-1α and MIP-1β were significantly
lower in the supernatants of monocytes co-incubated with L. aethiopica lab as compared to
L. aethiopica 2 and 3 (Figure 4 and Table S11).
Cytokines
IFN-γ, IL-2, IL-4, IL-12p70, and IL-13 were undetectable. By contrast, the levels of IL-
1β, IL-6, IL-10 and TNF-α were significantly increased in response to all parasite
isolates, except IL-6 with L. aethiopica 1 (p=0.0982, Table S12). There were no
significant differences in cytokine production between the three clinical isolates (Figure
5 and Table S13). However, the levels of IL-1β and TNF-α were significantly lower
following co-incubation with L. aethiopica lab compared to L. aethiopica 2 (Figure 5 and
Table S14).
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Discussion
When feeding, sand flies lacerate the skin of the host to form a pool of blood, into which
Leishmania parasites are deposited [18, 40]. Monocytes are therefore likely to be one of
the first cells to encounter parasites. However, little is known about the interactions of
monocytes with L. aethiopica. Unlike many other CL-causing Leishmania species, there
are no established animal models for L. aethiopica infection [41, 42]. Therefore, here we
set up an in vitro model, using primary human monocytes. We measured phagocytosis,
ROS production and release of chemokines and cytokines in response to co-incubation
with L. aethiopica and compared those responses to three different recently isolated L.
aethiopica and a long-term cultured laboratory isolate.
Our results show that all four parasite isolates associated with primary human
monocytes. However, some monocytes remained unassociated; this might be due to
the short incubation time. Interestingly, while there was no difference between the
clinical isolates, association with each of the three clinical isolates was significantly
higher than with L. aethiopica lab. Phagocytosis of L. aethiopica parasites and their
entry into monocytes was confirmed using confocal microscopy.
The ability of primary human monocytes to associate with Leishmania parasites has
already been shown, using different approaches, and using different incubation times as
well as different multiplicities of infection (MOIs). This includes whole blood [43, 44],
PBMCs [27, 45, 46] and purified human peripheral blood monocytes [32, 47]. Some of
the studies specify the parasite stage, e.g. metacyclic parasites; however, an approach
to enrich for metacyclic promastigotes is not described [43, 44, 46, 47]. To ensure
consistency in the parasite stages that we used, promastigotes were grown to stationary
phase and PNA was used in order enrich for metacyclic parasites. Additionally, L.
aethiopica parasites were kept in culture for a maximum of three weeks. The time
parasites are kept in culture is of crucial importance. Indeed, several studies have
shown that after in vitro culture, parasites lose their virulence as shown by decreased
parasites loads in vivo and in vitro [48-50]. Altered gene and protein expression profiles,
as well as chemokine and cytokine production, were reported following extensive in vitro
passages [51]. In particular, glycoprotein (GP)63 and lipophosphoglycan (LPG)2
expression were shown to be reduced [52, 53]. Both GP63 and LPG are two of the main
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
surface molecules on Leishmania parasites that play a crucial role in phagocytosis [54-
56]. Therefore, it is likely that prolonged culture of L. aethiopica lab may have resulted in
changes in LPG and GP63, leading to the observed differences in association,
compared to the clinical L. aethiopica isolates.
A recent study assessed the ability of immune cells to associate with GFP-transfected
L. aethiopica lab [57]. The authors used an MOI of 10:1 (parasites to leukocytes) and
reported that an estimated 20% of associated cells were CD14+ cells, as gated in the
whole population of GFP+ cells in whole blood, at both 4- and 24-hour timepoints. Since
the percentage of monocytes varies greatly between individuals [58], this method does
not allow for consistency in MOI between experiments. However, no study has
previously shown the association of purified monocytes with L. aethiopica.
Our results show that monocytes associated with L. aethiopica promastigotes
upregulated ROS, as compared to monocytes cultured in the absence of parasites.
Incubation with the three clinical isolates, but not L. aethiopica lab, also resulted in
increased ROS in unassociated monocytes as compared to baseline. ROS MFI in
associated monocytes was higher than in unassociated monocytes with all four parasite
isolates.
Human monocytes have been shown to produce ROS in response to multiple
Leishmania species [28, 31, 32, 47, 59]. However, the set-up of these experiments
varied greatly, from the incubation time, the parasite species, their life cycle stages, to
the ways ROS was measured. Some of the studies have shown that ROS production
contributes to killing of the parasite [28, 31, 32]. Yet, others have identified defence
mechanisms used by Leishmania to inhibit ROS production by phagocytes [60-62]. Of
note, our results showed that unassociated monocytes produced an oxidative burst with
the clinical isolates of L. aethiopica, but not with L. aethiopica lab. This could be caused
by differences in the surface molecules of L. aethiopica lab, especially in LPG and
GP63, as discussed above.
Our results showed that five different chemokines were detectable in the supernatants
of monocytes incubated with L. aethiopica – MCP-1, MCP-4, MIP-1α, MIP-1β, and IL-8.
There were higher levels of MIP-1α and MIP-1β following incubation with the clinical
isolates than L. aethiopica lab. The lower levels of these chemokines in response to L.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
aethiopica lab could result from altered cell surface molecules due to the prolonged time
of the parasite isolate in culture.
Little is known about the role of MCP-1 and MCP-4 in leishmaniasis. Several in vitro
studies using murine and human monocytes and macrophages have shown that the
addition of MCP-1 results in increased parasite killing [31, 63, 64]. The in vitro
production of MIP-1α and MIP-1β by monocytes in response to Leishmania parasites
has not been previously demonstrated. MIP-1α and MIP-1β were also elevated in the
supernatants of PBMCs incubated with L. amazonensis in both mouse and human
macrophages [63, 64]. In addition to activating the monocytes to kill the parasites, MCP-
1, MCP-4, MIP-1α, MIP-1β and IL-8 may contribute to the recruitment of more immune
cells and therefore impact on disease development.
Our results also show that production of TNF-α, IL-1β, IL-6 and IL-10 were increased in
response to L. aethiopica. In our study, IL-6 and IL-10 were similar between all four L.
aethiopica isolates. Little is known about the production of both cytokines by monocytes
co-incubated with Leishmania parasites. Two studies have documented the production
of IL-6 in response to L. aethiopica; however, it was by total PBMCs in response to
soluble Leishmania antigen (SLA) [65, 66]. Two studies have shown the production of
IL-10 by monocytes in response to L. braziliensis [46, 67]. TNF-α and IL-1β were
increased in response to L. aethiopica 2, compared to L. aethiopica lab. The production
of TNF-α by monocytes in response to pathogens has been extensively documented
[68-70], but not to L. aethiopica. There are conflicting reports on the production of TNF-
α by monocytes in response to Leishmania parasites, showing parasite killing or
contribution to pathology [71, 72]. Specifically in CL caused by L. aethiopica, TNF-α has
been shown to be produced by the PBMCs of CL patients in response to incubation with
L. aethiopica SLA, although the cellular source was not identified [73, 74]. Little is
known about the role of IL-1β produced by monocytes in response to Leishmania
parasites. Santos et al. identified intermediate monocytes as the main producers of IL-
1β. The authors showed that IL-1β did not contribute to L. braziliensis killing by human
monocyte-derived macrophages, and suggested that instead, the IL-1β produced
contributed to the pathology of CL [75].
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
It has to be noted that the purity of the monocyte population used in our study was
>80% and we can therefore not exclude that other cells contributed to the levels of
chemokines and cytokines detected.
Eotaxin, eotaxin-3, IP-10, MDC, TARC, IFN-γ, IL-2, IL-4, IL-8, IL-12p70, and IL-13 were
not detectable in the supernatants of activated monocytes. It is possible that these
chemokines and cytokines were still produced but were captured by cell surface
receptors, or that they were produced at levels below the detection limit.
Although there were no significant differences between clinical isolates in the effector
functions measured in this study, there were some differences between L. aethiopica
lab and some of the clinical L. aethiopica; such as the production of TNF-α between L.
aethiopica lab and L. aethiopica 2, but not L. aethiopica 1 and L. aethiopica 3; this
suggests that there may still be differences between the clinical isolates. And indeed,
while the three clinical L. aethiopica were isolated from LCL patients who had similar
lesions, these patients were of different ages, at different times after the onset of
symptomatic disease, and had different numbers and sizes of lesions.
One of the main limitations was that we did not measure survival or killing of the
parasites. This is usually done by counting intracellular parasites inside the monocytes.
However, it is not possible to assess whether these parasites will survive or be killed.
Another method that is commonly used is the transformation assay, where parasites are
washed away after co-incubation with the monocytes and the released intracellular
parasites are allowed to grow in culture and counted [76]. However, in our experience it
has proven impossible to completely eliminate extracellular parasites after the 2-hour
incubation, whether by extensive washing or by disrupting the parasite cell membrane
using sodium dodecyl sulfate.
In summary, our study describes an in vitro model to investigate monocyte effector
functions in response to L. aethiopica. Our results emphasise that care should be taken
when using parasites that have been passaged in vitro for a long period of time.
This model could be applied to L. aethiopica isolates from patients with LCL, DCL or
MCL and might contribute to elucidating why L. aethiopica causes different clinical
presentations.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
References
1. Davidson RN. Visceral leishmaniasis in clinical prac6ce. J Infect. 1999;39(2):112-6. Epub
1999/12/28. doi: 10.1016/s0163-4453(99)90001-4. PubMed PMID: 10609527.
2. van Griensven J, Diro E. Visceral leishmaniasis. Infect Dis Clin North Am. 2012;26(2):309-
22. Epub 2012/05/29. doi: 10.1016/j.idc.2012.03.005. PubMed PMID: 22632641.
3. Ruiz-Pos6go JAJ, Saurabh;, Madjou SVA, Junerlyn Farah;, Maia-Elkhoury ANV, Samantha;,
Warusavithana SO, Mona; Yajima, Aya;, Lin ZB, Abate. Global leishmaniasis surveillance, 2022:
assessing trends over the past 10 years. World Health Organiza6on. 2023.
4. Pires M, Wright B, Kaye PM, da Conceicao V, Churchill RC. The impact of leishmaniasis on
mental health and psychosocial well-being: A systema6c review. PLoS One.
2019;14(10):e0223313. Epub 2019/10/18. doi: 10.1371/journal.pone.0223313. PubMed PMID:
31622369; PubMed Central PMCID: PMCPMC6797112.
5. Yanik M, Gurel MS, Simsek Z, Ka6 M. The psychological impact of cutaneous
leishmaniasis. Clin Exp Dermatol. 2004;29(5):464-7. Epub 2004/09/07. doi: 10.1111/j.1365-
2230.2004.01605.x. PubMed PMID: 15347324.
6. Yizengaw E, Nibret E. Effects of cutaneous leishmaniasis on pa6ents' quality of life. BMC
Infect Dis. 2024;24(1):598. Epub 2024/06/19. doi: 10.1186/s12879-024-09518-3. PubMed
PMID: 38890616; PubMed Central PMCID: PMCPMC11186278.
7. Federal Ministry of Health. Guideline for diagnosis, treatment and preven6on of
leishamaniasis in Ethiopia. 2013.
8. van Henten S, Adriaensen W, Fikre H, Akuffo H, Diro E, Hailu A, et al. Cutaneous
Leishmaniasis Due to Leishmania aethiopica. EClinicalMedicine. 2018;6:69-81. Epub
2019/06/14. doi: 10.1016/j.eclinm.2018.12.009. PubMed PMID: 31193672; PubMed Central
PMCID: PMCPMC6537575.
9. World Health Organisa6on. Control of the Leishmaniases. World Health Organiza6on.
2010.
10. WHO. Leishmaniasis: Status of endemicity of cutaneous leishmaniasis 2024. Available
from: hhps://apps.who.int/neglected_diseases/ntddata/leishmaniasis/leishmaniasis.html.
11. Yizengaw E, Gashaw B, Yimer M, Takele Y , Nibret E, Yismaw G, et al. Demographic
characteris6cs and clinical features of pa6ents presen6ng with different forms of cutaneous
leishmaniasis, in Lay Gayint, Northern Ethiopia. PLoS Negl Trop Dis. 2024;18(8):e0012409. Epub
2024/08/15. doi: 10.1371/journal.pntd.0012409. PubMed PMID: 39146362; PubMed Central
PMCID: PMCPMC11349221.
12. Yizengaw E, Nibret E, Yismaw G, Gashaw B, Tamiru D, Munshea A, et al. Cutaneous
leishmaniasis in a newly established treatment centre in the Lay Gayint district, Northwest
Ethiopia. Skin Health Dis. 2023;3(4):e229. Epub 2023/08/04. doi: 10.1002/ski2.229. PubMed
PMID: 37538321; PubMed Central PMCID: PMCPMC10395643.
13. Seid A, Gadisa E, Tsegaw T, Abera A, Teshome A, Mulugeta A, et al. Risk map for
cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical
informa6on systems and sta6s6cs. Geospat Health. 2014;8(2):377-87. Epub 2014/06/04. doi:
10.4081/gh.2014.27. PubMed PMID: 24893015.
14. Les6nova T, Rohousova I, Sima M, de Oliveira CI, Volf P . Insights into the sand fly saliva:
Blood-feeding and immune interac6ons between sand flies, hosts, and Leishmania. PLoS Negl
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Trop Dis. 2017;11(7):e0005600. Epub 2017/07/14. doi: 10.1371/journal.pntd.0005600. PubMed
PMID: 28704370; PubMed Central PMCID: PMCPMC5509103.
15. Ashford RW, Bray MA, Hutchinson MP , Bray RS. The epidemiology of cutaneous
leishmaniasis in Ethiopia. Trans R Soc Trop Med Hyg. 1973;67(4):568-601. Epub 1973/01/01.
doi: 10.1016/0035-9203(73)90088-6. PubMed PMID: 4150462.
16. Gebre-Michael T, Balkew M, Ali A, Ludovisi A, Gramiccia M. The isola6on of Leishmania
tropica and L. aethiopica from Phlebotomus (Paraphlebotomus) species (Diptera: Psychodidae)
in the Awash Valley, northeastern Ethiopia. Trans R Soc Trop Med Hyg. 2004;98(1):64-70. Epub
2004/01/02. doi: 10.1016/s0035-9203(03)00008-7. PubMed PMID: 14702839.
17. Lemma A, Foster WA, Gemetchu T, Preston PM, Bryceson A, Minter DM. Studies on
leishmaniasis in Ethiopia. I. Preliminary inves6ga6ons into the epidemiology of cutaneous
leishmaniasis in the highlands. Ann Trop Med Parasitol. 1969;63(4):455-72. Epub 1969/12/01.
PubMed PMID: 5394018.
18. Doehl JSP , Bright Z, Dey S, Davies H, Magson J, Brown N, et al. Skin parasite landscape
determines host infec6ousness in visceral leishmaniasis. Nat Commun. 2017;8(1):57. Epub
2017/07/07. doi: 10.1038/s41467-017-00103-8. PubMed PMID: 28680146; PubMed Central
PMCID: PMCPMC5498584.
19. Guilliams M, Mildner A, Yona S. Developmental and Func6onal Heterogeneity of
Monocytes. Immunity. 2018;49(4):595-613. Epub 2018/10/18. doi:
10.1016/j.immuni.2018.10.005. PubMed PMID: 30332628.
20. Boyehe LB, Macedo C, Hadi K, Elinoff BD, Walters JT, Ramaswami B, et al. Phenotype,
func6on, and differen6a6on poten6al of human monocyte subsets. PLoS One.
2017;12(4):e0176460. Epub 2017/04/27. doi: 10.1371/journal.pone.0176460. PubMed PMID:
28445506; PubMed Central PMCID: PMCPMC5406034.
21. Ziegler-Heitbrock L, Ancuta P , Crowe S, Dalod M, Grau V, Hart DN, et al. Nomenclature of
monocytes and dendri6c cells in blood. Blood. 2010;116(16):e74-80. Epub 2010/07/16. doi:
10.1182/blood-2010-02-258558. PubMed PMID: 20628149.
22. Kapellos TS, Bonaguro L, Gemund I, Reusch N, Saglam A, Hinkley ER, et al. Human
Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases. Front Immunol.
2019;10:2035. Epub 2019/09/24. doi: 10.3389/fimmu.2019.02035. PubMed PMID: 31543877;
PubMed Central PMCID: PMCPMC6728754.
23. Mukherjee R, Kan6 Barman P , Kumar Thatoi P , Tripathy R, Kumar Das B, Ravindran B.
Non-Classical monocytes display inflammatory features: Valida6on in Sepsis and Systemic Lupus
Erythematous. Sci Rep. 2015;5:13886. Epub 2015/09/12. doi: 10.1038/srep13886. PubMed
PMID: 26358827; PubMed Central PMCID: PMCPMC4566081.
24. Wong KL, Yeap WH, Tai JJ, Ong SM, Dang TM, Wong SC. The three human monocyte
subsets: implica6ons for health and disease. Immunol Res. 2012;53(1-3):41-57. Epub
2012/03/21. doi: 10.1007/s12026-012-8297-3. PubMed PMID: 22430559.
25. Gren ST, Rasmussen TB, Janciauskiene S, Hakansson K, Gerwien JG, Grip O. A Single-Cell
Gene-Expression Profile Reveals Inter-Cellular Heterogeneity within Human Monocyte Subsets.
PLoS One. 2015;10(12):e0144351. Epub 2015/12/10. doi: 10.1371/journal.pone.0144351.
PubMed PMID: 26650546; PubMed Central PMCID: PMCPMC4674153 Nordisk A/S and own
stocks in Novo Nordisk A/S. This does not affect the authors' interpreta6on of the data and
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
there are no commercial interests related to this ar6cle. Addi6onally, this does not alter our
adherence to PLOS ONE policies on sharing data and materials.
26. Villani AC, Sa6ja R, Reynolds G, Sarkizova S, Shekhar K, Fletcher J, et al. Single-cell RNA-
seq reveals new types of human blood dendri6c cells, monocytes, and progenitors. Science.
2017;356(6335). Epub 2017/04/22. doi: 10.1126/science.aah4573. PubMed PMID: 28428369;
PubMed Central PMCID: PMCPMC5775029.
27. Viana AG, Magalhaes LMD, Giunchel RC, Dutra WO, Gollob KJ. Infec6on of Human
Monocytes with Leishmania infantum Strains Induces a Downmodulated Response when
Compared with Infec6on with Leishmania braziliensis. Front Immunol. 2017;8:1896. Epub
2018/01/24. doi: 10.3389/fimmu.2017.01896. PubMed PMID: 29358935; PubMed Central
PMCID: PMCPMC5766652.
28. Murray HW, Cartelli DM. Killing of intracellular Leishmania donovani by human
mononuclear phagocytes. Evidence for oxygen-dependent and -independent leishmanicidal
ac6vity. J Clin Invest. 1983;72(1):32-44. Epub 1983/07/01. doi: 10.1172/jci110972. PubMed
PMID: 6308049; PubMed Central PMCID: PMCPMC1129158.
29. Hoover DL, Berger M, Hammer CH, Meltzer MS. Complement-mediated serum
cytotoxicity for Leishmania major amas6gotes: killing by serum deficient in early components of
the membrane ahack complex. J Immunol. 1985;135(1):570-4. Epub 1985/07/01. PubMed
PMID: 3998474.
30. Lehn M, Weiser WY , Engelhorn S, Gillis S, Remold HG. IL-4 inhibits H2O2 produc6on and
an6leishmanial capacity of human cultured monocytes mediated by IFN-gamma. J Immunol.
1989;143(9):3020-4. Epub 1989/11/01. PubMed PMID: 2509562.
31. Riher U, Moll H. Monocyte chemotac6c protein-1 s6mulates the killing of leishmania
major by human monocytes, acts synergis6cally with IFN-gamma and is antagonized by IL-4. Eur
J Immunol. 2000;30(11):3111-20. Epub 2000/11/28. doi: 10.1002/1521-
4141(200011)30:113.0.CO;2-O. PubMed PMID: 11093125.
32. Novais FO, Nguyen BT, Bei6ng DP , Carvalho LP , Glennie ND, Passos S, et al. Human
classical monocytes control the intracellular stage of Leishmania braziliensis by reac6ve oxygen
species. J Infect Dis. 2014;209(8):1288-96. Epub 2014/01/10. doi: 10.1093/infdis/jiu013.
PubMed PMID: 24403561; PubMed Central PMCID: PMCPMC3969552.
33. Beverley SM, Ismach RB, Prah DM. Evolu6on of the genus Leishmania as revealed by
comparisons of nuclear DNA restric6on fragment paherns. Proc Natl Acad Sci U S A.
1987;84(2):484-8. Epub 1987/01/01. doi: 10.1073/pnas.84.2.484. PubMed PMID: 3025876;
PubMed Central PMCID: PMCPMC304233.
34. Gel GT, Aslam SN, Humber DP , Stevenson PC, Cheke RA. The effect of cicerfuran, an
arylbenzofuran from Cicer bijugum, and related benzofurans and s6lbenes on Leishmania
aethiopica, L. tropica and L. major. Planta Med. 2006;72(10):907-11. Epub 2006/08/12. doi:
10.1055/s-2006-947187. PubMed PMID: 16902862.
35. Adem E, Cervera EC, Yizengaw E, Takele Y , Shorter S, Cohon JA, et al. Dis6nct neutrophil
effector func6ons in response to different isolates of Leishmania aethiopica.
bioRxiv. 2024:2024.06.27.601019. doi: 10.1101/2024.06.27.601019.
36. Yizengaw E, Takele Y , Franssen S, Gashaw B, Yimer M, Adem E, et al. Inves6ga6on of
parasite gene6c varia6on and systemic immune responses in pa6ents presen6ng with different
clinical presenta6ons of cutaneous leishmaniasis caused by Leishmania aethiopica. Infect Dis
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Poverty. 2024;13(1):76. Epub 2024/10/17. doi: 10.1186/s40249-024-01244-x. PubMed PMID:
39415297; PubMed Central PMCID: PMCPMC11484111.
37. Sacks DL, Hieny S, Sher A. Iden6fica6on of cell surface carbohydrate and an6genic
changes between noninfec6ve and infec6ve developmental stages of Leishmania major
promas6gotes. J Immunol. 1985;135(1):564-9. Epub 1985/07/01. PubMed PMID: 2582050.
38. Mar6nez FO. Analysis of gene expression and gene silencing in human macrophages.
Curr Protoc Immunol. 2012;Chapter 14:Unit 14 28 1-3. Epub 2012/02/09. doi:
10.1002/0471142735.im1428s96. PubMed PMID: 22314831.
39. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an
open-source plaporm for biological-image analysis. Nat Methods. 2012;9(7):676-82. Epub
2012/06/30. doi: 10.1038/nmeth.2019. PubMed PMID: 22743772; PubMed Central PMCID:
PMCPMC3855844.
40. Moreno I, Dominguez M, Cabanes D, Aizpurua C, Torano A. Kine6c analysis of ex vivo
human blood infec6on by Leishmania. PLoS Negl Trop Dis. 2010;4(7):e743. Epub 2010/07/21.
doi: 10.1371/journal.pntd.0000743. PubMed PMID: 20644618; PubMed Central PMCID:
PMCPMC2903471.
41. Humber DP , Hetherington CM, Atlaw T, Eriso F. Leishmania aethiopica: infec6ons in
laboratory animals. Exp Parasitol. 1989;68(2):155-9. Epub 1989/02/01. doi: 10.1016/0014-
4894(89)90092-1. PubMed PMID: 2647503.
42. Akuffo HO, Walford C, Nilsen R. The pathogenesis of Leishmania aethiopica infec6on in
BALB/c mice. Scand J Immunol. 1990;32(2):103-10. Epub 1990/08/01. doi: 10.1111/j.1365-
3083.1990.tb02899.x. PubMed PMID: 2389113.
43. Ribeiro CV, Rocha BFB, Oliveira E, Teixeira-Carvalho A, Mar6ns-Filho OA, Murta SMF, et
al. Leishmania infantum induces high phagocy6c capacity and intracellular nitric oxide
produc6on by human proinflammatory monocyte. Mem Inst Oswaldo Cruz. 2020;115:e190408.
Epub 2020/04/23. doi: 10.1590/0074-02760190408. PubMed PMID: 32321156; PubMed Central
PMCID: PMCPMC7164402.
44. Picard M, Soundaramourty C, Silvestre R, Estaquier J, Andre S. Leishmania infantum
Infec6on of Primary Human Myeloid Cells. Microorganisms. 2022;10(6). Epub 2022/06/25. doi:
10.3390/microorganisms10061243. PubMed PMID: 35744760; PubMed Central PMCID:
PMCPMC9230042.
45. Singh N, Kumar R, Chauhan SB, Engwerda C, Sundar S. Peripheral Blood Monocytes With
an An6inflammatory Phenotype Display Limited Phagocytosis and Oxida6ve Burst in Pa6ents
With Visceral Leishmaniasis. J Infect Dis. 2018;218(7):1130-41. Epub 2018/07/28. doi:
10.1093/infdis/jiy228. PubMed PMID: 30053070; PubMed Central PMCID: PMCPMC6107747.
46. Polari LP , Carneiro PP , Macedo M, Machado PRL, Scoh P , Carvalho EM, et al. Leishmania
braziliensis Infec6on Enhances Toll-Like Receptors 2 and 4 Expression and Triggers TNF-alpha
and IL-10 Produc6on in Human Cutaneous Leishmaniasis. Front Cell Infect Microbiol.
2019;9:120. Epub 2019/05/24. doi: 10.3389/fcimb.2019.00120. PubMed PMID: 31119102;
PubMed Central PMCID: PMCPMC6507514.
47. Chang HK, Thalhofer C, Duerkop BA, Mehling JS, Verma S, Gollob KJ, et al. Oxidant
genera6on by single infected monocytes aqer short-term fluorescence labeling of a protozoan
parasite. Infect Immun. 2007;75(2):1017-24. Epub 2006/11/23. doi: 10.1128/IAI.00914-06.
PubMed PMID: 17118986; PubMed Central PMCID: PMCPMC1828521.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
48. Segovia M, Artero JM, Mellado E, Chance ML. Effects of long-term in vitro cul6va6on on
the virulence of cloned lines of Leishmania major promas6gotes. Ann Trop Med Parasitol.
1992;86(4):347-54. Epub 1992/08/01. doi: 10.1080/00034983.1992.11812677. PubMed PMID:
1463354.
49. Moreira D, Santarem N, Loureiro I, Tavares J, Silva AM, Amorim AM, et al. Impact of
con6nuous axenic cul6va6on in Leishmania infantum virulence. PLoS Negl Trop Dis.
2012;6(1):e1469. Epub 2012/02/01. doi: 10.1371/journal.pntd.0001469. PubMed PMID:
22292094; PubMed Central PMCID: PMCPMC3265455.
50. Magalhaes RD, Duarte MC, Mahos EC, Mar6ns VT, Lage PS, Chavez-Fumagalli MA, et al.
Iden6fica6on of differen6ally expressed proteins from Leishmania amazonensis associated with
the loss of virulence of the parasites. PLoS Negl Trop Dis. 2014;8(4):e2764. Epub 2014/04/05.
doi: 10.1371/journal.pntd.0002764. PubMed PMID: 24699271; PubMed Central PMCID:
PMCPMC3974679.
51. Jha MK, Sarode AY , Bodhale N, Mukherjee D, Pandey SP , Srivastava N, et al. Development
and Characteriza6on of an Avirulent Leishmania major Strain. J Immunol. 2020;204(10):2734-
53. Epub 2020/04/05. doi: 10.4049/jimmunol.1901362. PubMed PMID: 32245818.
52. Ali KS, Rees RC, Terrell-Nield C, Ali SA. Virulence loss and amas6gote transforma6on
failure determine host cell responses to Leishmania mexicana. Parasite Immunol.
2013;35(12):441-56. Epub 2013/07/23. doi: 10.1111/pim.12056. PubMed PMID: 23869911.
53. Mukhopadhyay S, Sen P , Majumder HK, Roy S. Reduced expression of lipophosphoglycan
(LPG) and kinetoplas6d membrane protein (KMP)-11 in Leishmania donovani promas6gotes in
axenic culture. J Parasitol. 1998;84(3):644-7. Epub 1998/06/30. PubMed PMID: 9645879.
54. Ueno N, Wilson ME. Receptor-mediated phagocytosis of Leishmania: implica6ons for
intracellular survival. Trends Parasitol. 2012;28(8):335-44. Epub 2012/06/26. doi:
10.1016/j.pt.2012.05.002. PubMed PMID: 22726697; PubMed Central PMCID:
PMCPMC3399048.
55. Talamas-Rohana P , Wright SD, Lennartz MR, Russell DG. Lipophosphoglycan from
Leishmania mexicana promas6gotes binds to members of the CR3, p150,95 and LFA-1 family of
leukocyte integrins. J Immunol. 1990;144(12):4817-24. Epub 1990/06/15. PubMed PMID:
1972169.
56. Olivier M, Atayde VD, Isnard A, Hassani K, Shio MT. Leishmania virulence factors: focus
on the metalloprotease GP63. Microbes Infect. 2012;14(15):1377-89. Epub 2012/06/12. doi:
10.1016/j.micinf.2012.05.014. PubMed PMID: 22683718.
57. Ranatunga M, Deacon A, Harbige LS, Dyer P , Boateng J, Gel GTM. Ex Vivo Analysis of
the Associa6on of GFP-Expressing L. aethiopica and L. mexicana with Human Peripheral Blood-
Derived (PBD) Leukocytes over 24 Hours. Microorganisms. 2024;12(9). Epub 2024/09/28 22:44.
doi: 10.3390/microorganisms12091909. PubMed PMID: 39338584; PubMed Central PMCID:
PMCPMC11434358.
58. Lin CH, Li YR, Lin PR, Wang BY , Lin SH, Huang KY , et al. Blood monocyte levels predict the
risk of acute exacerba6ons of chronic obstruc6ve pulmonary disease: a retrospec6ve case-
control study. Sci Rep. 2022;12(1):21057. Epub 2022/12/07. doi: 10.1038/s41598-022-25520-8.
PubMed PMID: 36473925; PubMed Central PMCID: PMCPMC9727121.
59. Carneiro PP , Conceicao J, Macedo M, Magalhaes V, Carvalho EM, Bacellar O. The Role of
Nitric Oxide and Reac6ve Oxygen Species in the Killing of Leishmania braziliensis by Monocytes
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
from Pa6ents with Cutaneous Leishmaniasis. PLoS One. 2016;11(2):e0148084. Epub
2016/02/04. doi: 10.1371/journal.pone.0148084. PubMed PMID: 26840253; PubMed Central
PMCID: PMCPMC4739692.
60. Olivier M, Brownsey RW, Reiner NE. Defec6ve s6mulus-response coupling in human
monocytes infected with Leishmania donovani is associated with altered ac6va6on and
transloca6on of protein kinase C. Proc Natl Acad Sci U S A. 1992;89(16):7481-5. Epub
1992/08/15. doi: 10.1073/pnas.89.16.7481. PubMed PMID: 1323839; PubMed Central PMCID:
PMCPMC49734.
61. Moreira W, Leblanc E, Ouellehe M. The role of reduced pterins in resistance to reac6ve
oxygen and nitrogen intermediates in the protozoan parasite Leishmania. Free Radic Biol Med.
2009;46(3):367-75. Epub 2008/11/22. doi: 10.1016/j.freeradbiomed.2008.10.034. PubMed
PMID: 19022374.
62. Lodge R, Diallo TO, Descoteaux A. Leishmania donovani lipophosphoglycan blocks
NADPH oxidase assembly at the phagosome membrane. Cell Microbiol. 2006;8(12):1922-31.
Epub 2006/07/20. doi: 10.1111/j.1462-5822.2006.00758.x. PubMed PMID: 16848789.
63. Bhahacharyya S, Ghosh S, Dasgupta B, Mazumder D, Roy S, Majumdar S. Chemokine-
induced leishmanicidal ac6vity in murine macrophages via the genera6on of nitric oxide. J Infect
Dis. 2002;185(12):1704-8. Epub 2002/06/27. doi: 10.1086/340820. PubMed PMID: 12085314.
64. Brandonisio O, Panaro MA, Fumarola I, Sisto M, Leogrande D, Acquafredda A, et al.
Macrophage chemotac6c protein-1 and macrophage inflammatory protein-1 alpha induce nitric
oxide release and enhance parasite killing in Leishmania infantum-infected human
macrophages. Clin Exp Med. 2002;2(3):125-9. Epub 2002/11/26. doi: 10.1007/s102380200017.
PubMed PMID: 12447609.
65. Akuffo HO, Brihon SF. Contribu6on of non-Leishmania-specific immunity to resistance to
Leishmania infec6on in humans. Clin Exp Immunol. 1992;87(1):58-64. Epub 1992/01/01. doi:
10.1111/j.1365-2249.1992.tb06413.x. PubMed PMID: 1733638; PubMed Central PMCID:
PMCPMC1554224.
66. Chanyalew M, Abebe M, Endale B, Girma S, Tasew G, van Zandbergen G, et al. Enhanced
produc6on of pro-inflammatory cytokines and chemokines in Ethiopian cutaneous leishmaniasis
upon exposure to Leishmania aethiopica. Cytokine. 2021;145:155289. Epub 2020/09/22. doi:
10.1016/j.cyto.2020.155289. PubMed PMID: 32951968.
67. Salhi A, Rodrigues V, Jr., Santoro F, Dessein H, Romano A, Castellano LR, et al.
Immunological and gene6c evidence for a crucial role of IL-10 in cutaneous lesions in humans
infected with Leishmania braziliensis. J Immunol. 2008;180(9):6139-48. Epub 2008/04/22. doi:
10.4049/jimmunol.180.9.6139. PubMed PMID: 18424735.
68. te Velde AA, Huijbens RJ, Heije K, de Vries JE, Figdor CG. Interleukin-4 (IL-4) inhibits
secre6on of IL-1 beta, tumor necrosis factor alpha, and IL-6 by human monocytes. Blood.
1990;76(7):1392-7. Epub 1990/10/01. PubMed PMID: 2119829.
69. de Waal Malefyt R, Abrams J, Benneh B, Figdor CG, de Vries JE. Interleukin 10(IL-10)
inhibits cytokine synthesis by human monocytes: an autoregulatory role of IL-10 produced by
monocytes. J Exp Med. 1991;174(5):1209-20. Epub 1991/11/01. doi: 10.1084/jem.174.5.1209.
PubMed PMID: 1940799; PubMed Central PMCID: PMCPMC2119001.
70. Agarwal S, Piesco NP , Johns LP , Riccelli AE. Differen6al expression of IL-1 beta, TNF-alpha,
IL-6, and IL-8 in human monocytes in response to lipopolysaccharides from different microbes. J
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Dent Res. 1995;74(4):1057-65. Epub 1995/04/01. doi: 10.1177/00220345950740040501.
PubMed PMID: 7782536.
71. Oliaee RT, Sharifi I, Afgar A, Jafarzadeh A, Kareshk AT, Bamorovat M, et al. Differen6al
expression of TLRs 2, 4, 9, iNOS and TNF-alpha and arginase ac6vity in peripheral blood
monocytes from glucan6me unresponsive and responsive pa6ents with anthropono6c
cutaneous leishmaniasis caused by Leishmania tropica. Microb Pathog. 2019;126:368-78. Epub
2018/11/07. doi: 10.1016/j.micpath.2018.11.004. PubMed PMID: 30399441.
72. Oliveira F, Bafica A, Rosato AB, Favali CB, Costa JM, Cafe V, et al. Lesion size correlates
with Leishmania an6gen-s6mulated TNF-levels in human cutaneous leishmaniasis. Am J Trop
Med Hyg. 2011;85(1):70-3. Epub 2011/07/08. doi: 10.4269/ajtmh.2011.10-0680. PubMed
PMID: 21734128; PubMed Central PMCID: PMCPMC3122347.
73. Akuffo H, Maasho K, Blostedt M, Hojeberg B, Brihon S, Bakhiet M. Leishmania aethiopica
derived from diffuse leishmaniasis pa6ents preferen6ally induce mRNA for interleukin-10 while
those from localized leishmaniasis pa6ents induce interferon-gamma. J Infect Dis.
1997;175(3):737-41. Epub 1997/03/01. doi: 10.1093/infdis/175.3.737. PubMed PMID: 9041358.
74. Chanyalew M, Abebe M, Endale B, Girma S, Tasew G, Bobosha K, et al. Enhanced
ac6va6on of blood neutrophils and monocytes in pa6ents with Ethiopian localized cutaneous
leishmaniasis in response to Leishmania aethiopica Neutrophil ac6va6on in Ethiopian cutaneous
leishmaniasis. Acta Trop. 2021;220:105967. Epub 2021/05/25. doi:
10.1016/j.actatropica.2021.105967. PubMed PMID: 34029532.
75. Santos D, Campos TM, Saldanha M, Oliveira SC, Nascimento M, Zamboni DS, et al. IL-
1beta Produc6on by Intermediate Monocytes Is Associated with Immunopathology in
Cutaneous Leishmaniasis. J Invest Dermatol. 2018;138(5):1107-15. Epub 2017/12/17. doi:
10.1016/j.jid.2017.11.029. PubMed PMID: 29246797; PubMed Central PMCID:
PMCPMC5912958.
76. Sifontes-Rodriguez S, Escalona-Montano AR, Sanchez-Almaraz DA, Perez-Olvera O,
Aguirre-Garcia MM. Detergent-free parasite transforma6on and replica6on assay for drug
screening against intracellular Leishmania amas6gotes. J Microbiol Methods. 2023;215:106847.
Epub 2023/10/24. doi: 10.1016/j.mimet.2023.106847. PubMed PMID: 37871728.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Acknowledgements
The authors are thankful to the staff of Nefas Mewcha Hospital for their enthusiastic
collaboration during the data collection of this study.
ECC is funded by a Wellcome Trust Studentship (PS3750). This research is jointly
funded by the UK Medical Research Council (MRC) and the Foreign Commonwealth
and Development Office (FCDO) under the MRC/FCDO Concordat agreement
(MR/R021600/1) (EY, JAC, PK). JAC is funded by Wellcome via core funding of the
Wellcome Sanger Institute (grant 206194).
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
FIGURE LEGENDS
Figure 1 – Association of monocyte subsets with L. aethiopica.
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR at an MOI of 1:10.
The association of each monocyte subset with parasites was determined by flow cytometry. For
each L. aethiopica isolate, association was compared between the three monocyte subsets (A-
D), and for each monocyte subset, association with the different L. aethiopica isolates was
compared (E-G). L. aethiopica lab: n=8, L. aethiopica 1: n=7, L. aethiopica 2: n=9, L.
aethiopica 3: n=8. Statistical differences between monocyte subsets were determined using
a Kruskal-Wallis test (A-D), between the clinical isolates using a Kruskal-Wallis test (E-G),
and between L. aethiopica lab and each clinical isolate using a Mann-Whitney test (E-G).
Data summaries and statistical analyses are shown in Tables S2-S4.
Figure 2 – Phagocytosis of L. aethiopica by monocytes.
Primary human monocytes were co-incubated with L. aethiopicaFR for 2 hours at an MOI of
1:10. Following staining with primary and secondary antibodies, monocytes were visualised
using confocal microscopy. Images are shown for monocytes incubated without parasites
(A), and for monocytes incubated with L. aethiopica lab (B), L. aethiopica 1 (C), L. aethiopica
2 (D) and L. aethiopica 3 (E). One representative image is shown for each parasite, out of
three experimental repeats.
Figure 3 – Comparing ROS production by different monocyte subsets.
Primary human monocytes were co-incubated with L. aethiopicaFR for 2 hours at an MOI of 1:10.
ROS production by monocytes was measured by flow cytometry using a ROS-IDTM Total ROS
detection kit. ROS production (as a percentage of baseline ROS production) was compared
between the three monocyte subsets for L. aethiopica lab (A), L. aethiopica 1 (B), L.
aethiopica 2 (C) and L. aethiopica 3 (D). L. aethiopica lab: n=8, L. aethiopica 1: n=6, L.
aethiopica 2: n=9, L. aethiopica 3: n=8. Statistical differences between monocyte subsets
were determined using a Kruskal-Wallis test. Data summaries and statistical analyses are
shown in Table S6.
Figure 4 – Chemokine production in response to co-incubation with the four L.
aethiopica isolates.
Primary human monocytes were co-incubated with L. aethiopica at an MOI of 1:10. After 2
hours, supernatants from each tube were collected. Supernatants were analysed with a V-PLEX
Chemokine Panel 1 Human Kit (Meso Scale Diagnostics) to determine the concentration of 10
different chemokines. The concentrations of five chemokines were compared in response to the
different parasite isolates: IL-8 (A), MCP-1 (B), MCP-4 (C), MIP-1α (D), and MIP-1β (E). n=10
for all parasite isolates. Statistical differences between L. aethiopica lab and each clinical
isolate were determined using a Mann-Whitney test, and between the three clinical isolates
using a Kruskal-Wallis test. Data summaries and statistical analyses are shown in Tables S10
and S11.
Figure 5 – Cytokine production in response to co-incubation with the four L.
aethiopica isolates.
Primary human monocytes were co-incubated with L. aethiopica at an MOI of 1:10. After 2
hours, supernatants from each tube were collected. Supernatants were analysed with a V-PLEX
Proinflammatory Panel 1 Human Kit (Meso Scale Diagnostics) to determine the concentration of
10 different cytokines. The concentrations of four cytokines were compared in response to the
different parasite isolates: IL-1β (A), IL-6 (B), IL-10 (C), TNF-α (D). n=10 for all parasite
isolates. Statistical differences between L. aethiopica lab and each clinical isolate were
determined using a Mann-Whitney test, and between the three clinical isolates using a
Kruskal-Wallis test. Data summaries and statistical analyses are shown in Tables S13 and S14.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure S1 – Gating for monocyte subsets.
Monocytes were stained with anti-CD14PE and anti-CD16eFluor™ 450 and divided into subsets
according to the following definitions: classical monocytes as CD14++ CD16-, intermediate
monocytes as CD14++ CD16+ and non-classical monocytes as CD14+ CD16+.
Figure S2 – Phagocytosis of L. aethiopica promastigotes by primary human
monocytes.
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR at an MOI of
1:10. Following the incubation, monocytes were washed and transferred onto a microscope
slide, where they were fixed and stained using anti-CD14 and DAPI. The images show
staining for three markers: monocyte surface (anti-CD14FITC; green), nuclei (DAPI; blue) and
L. aethiopica (Far Red dye; red). A. The three different channels separately (i-iii) and
combined (iv), for a monocyte infected with L. aethiopica 1. B. A representative series of 24
z-stack images for a monocyte infected with L. aethiopica 1.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
TABLES
Table S1: PNA- recovery in stationary phase population: comparison of L. aethiopica
lab with each clinical isolate.
L. aethiopica PNA-
recovery
PNA- recovery with
L. aethiopica lab p value*
1 8.64±2.50
3.48±0.72
0.0079
2 8.82±1.11 0.0079
3 10.30±1.52 0.0079
Stationary phase L. aethiopica promastigotes were enriched for metacyclic parasites using
PNA agglutination as described in Materials and Methods. PNA- recovery (%) is shown as
shown as mean ± standard deviation (SD). n=5 for all parasite isolates. Statistical
differences between L. aethiopica lab and each of the clinical isolates were determined using
a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S2: Comparing association between monocyte subsets, for each L. aethiopica
isolate.
L. aethiopica Monocyte
subset Association p value** p value***
lab
Classical 31.2±9.4
0.0070
C vs I 0.1017
Intermediate 16.2±7.1 C vs NC 0.0063
Non-classical 11.5±8.2 I vs NC >0.9999
1
Classical 61.3±6.0
0.9999
2
Classical 64.0±9.4
0.0006
C vs I 0.0089
Intermediate 41.6±10.9 C vs NC 0.0009
Non-classical 34.0±16.8 I vs NC >0.9999
3
Classical 54.9±10.6
0.0388
C vs I 0.2313
Intermediate 30.3±18.5 C vs NC 0.0400
Non-classical 26.3±17.1 I vs NC >0.9999
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. The association (%) of each subset with parasites was determined by flow
cytometry, and subsets were compared for each parasite isolate. L. aethiopica lab: n=8, L.
aethiopica 1: n=7, L. aethiopica 2: n=9, and L. aethiopica 3: n=8. Statistical differences were
determined using a Kruskal-Wallis test** and Dunn’s multiple comparisons test***.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S3: Comparing association with the three clinical isolates of L. aethiopica, for
each of the monocyte subsets.
Monocyte
subset L. aethiopica Association p value**
Classical
1 61.3±6.0
0.0986 2 64.0±9.4
3 54.9±10.6
Intermediate
1 36.8±8.2
0.1209 2 41.6±10.9
3 30.3±18.5
Non-classical
1 31.8±7.9
0.4202 2 34.0±16.8
3 26.3±17.1
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. Association (%) was determined by flow cytometry and is shown as mean ±
SD. L. aethiopica 1: n=7, L. aethiopica 2: n=9, and L. aethiopica 3: n=8. Statistical
differences between the three clinical isolates were determined using a Kruskal-Wallis test**.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S4 – Comparing monocyte association with L. aethiopica lab and three clinical
isolates of L. aethiopica.
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. Association (%) was determined by flow cytometry and shown as mean ±
SD. L. aethiopica lab: n=8, L. aethiopica 1: n=7, L. aethiopica 2: n=9, and L. aethiopica 3:
n=8. Statistical differences between L.a. lab and each of the clinical isolates were
determined a Mann-Whitney test*.
Monocyte
subset L. aethiopica Association (%)
Association with
L. aethiopica lab
(%)
p value*
Classical
1 61.3±6.0
31.2±9.4
0.0003
2 64.0±9.4 <0.0001
3 54.9±10.6 0.0002
Intermediate
1 36.8±8.2
16.2±7.1
0.0003
2 41.6±10.9 <0.0001
3 30.3±18.5 0.1049
Non-
classical
1 31.8±7.9
11.5±8.2
0.0012
2 34.0±16.8 0.0055
3 26.3±17.1 0.0281
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S5: ROS production by monocyte subsets following co-incubation with the
different L. aethiopica isolates.
L. aethiopica Monocyte
subset Monocyte ROS production (MFI) p value*
lab
Classical
Baseline:
270.5±53.0
Associated: 369.6±48.0 0.0020
Unassociated: 286.4±31.9 0.4227
p value* 0.0065
Intermediate
Baseline:
304.2±67.5
Associated: 391.9±64.2 0.0141
Unassociated: 313.6±37.1 0.4556
p value 0.0131
Non-classical
Baseline:
335.7±92.4
Associated: 408.4±78.0 0.3625
Unassociated: 321.2±68.8 0.8932
p value 0.0490
1
Classical
Baseline:
245.2±14.3
Associated: 344.7±36.4 0.0022
Unassociated: 296.7±33.9 0.0065
p value 0.0584
Intermediate
Baseline:
278.8±24.6
Associated: 419.4±60.4 0.0022
Unassociated: 326.1±29.9 0.0173
p value 0.0043
Non-classical
Baseline:
318.7±65.3
Associated: 423.4±87.5 0.0238
Unassociated: 328.5±68.5 0.8160
p value 0.0411
2
Classical
Baseline:
262.1±55.6
Associated: 378.0±49.7 0.0003
Unassociated: 316.7±40.2 0.0582
p value 0.0082
Intermediate
Baseline:
294.6±69.5
Associated: 429.2±64.3 0.0016
Unassociated: 345.5±46.5 0.0659
p value 0.0174
Non-classical
Baseline:
327.1±87.8
Associated: 469.1±103.8 0.0028
Unassociated: 360.2±68.0 0.3943
p value 0.0334
3
Classical
Baseline:
264.1±35.6
Associated: 392.3±46.2 0.0002
Unassociated: 324.5±36.1 0.0040
p value 0.0186
Intermediate
Baseline:
294.2±49.1
Associated: 457.3±48.8 0.0003
Unassociated: 352.3±56.7 0.0190
p value 0.0042
Non-classical
Baseline:
320.5±77.7
Associated: 460.7±81.1 0.0196
Unassociated: 346.3±68.5 0.2216
p value 0.0194
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. Monocyte ROS production was measured by flow cytometry using a ROS-
IDTM Total ROS detection kit and is shown as mean MFI ± SD. L. aethiopica lab: n=8, L.
aethiopica 1: n=6, L. aethiopica 2: n=9, and L. aethiopica 3: n=8. Statistical differences were
determined using a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S6: Comparing ROS production by monocyte subsets in response to L.
aethiopica.
L. aethiopica
Association Subsets ROS p value** Groups p value***
lab
Associated
Classical 138.6±22.4
0.3045 NA Intermediate 131.6±26.1
Non-classical 131.2±26.8
Unassociated
Classical 110.4±17.8
0.0187
C v I 0.7618
Intermediate 107.4±19.5 C v NC 0.0215
Non-classical 98.2±12.8 I v NC >3646
1
Associated
Classical 140.4±10.3
0.5063 NA Intermediate 150.6±26.9
Non-classical 136.4±20.9
Unassociated
Classical 120.8±8.3
0.5063 NA Intermediate 115.1±8.6
Non-classical 105.8±8.2
2
Associated
Classical 146.6±25.2
0.6517 NA Intermediate 152.9±27.6
Non-classical 143.2±30.4
Unassociated
Classical 122.8±17.3
0.0810 NA Intermediate 125.3±20.2
Non-classical 115.5±18.8
3
Associated
Classical 147.4±18.1
0.5691 NA Intermediate 156.6±23.5
Non-classical 148.7±16.0
Unassociated
Classical 123.5±10.7
0.6838 NA Intermediate 121.2±9.5
Non-classical 112.7±8.0
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. Monocyte ROS production was measured by flow cytometry using a ROS-
IDTM Total ROS detection kit, was calculated as % of baseline ROS production, and is shown
as mean ± SD. L. aethiopica lab: n=8, L. aethiopica 1: n=6, L. aethiopica 2: n=9, and L.
aethiopica 3: n=8. Statistical differences between monocyte subsets were determined using
a Kruskal-Wallis test**.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S7: Comparing ROS production by monocyte subsets co-incubated with the
clinical isolates.
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. Monocyte ROS production was measured by flow cytometry using a ROS-
IDTM Total ROS detection kit, was calculated as % of baseline ROS production, and is shown
as mean ± SD. L. aethiopica 1: n=6, L. aethiopica 2: n=9, and L. aethiopica 3: n=8.
Statistical differences between the three clinical isolates were determined using a Kruskal-
Wallis test**.
Monocyte
subset Association L. aethiopica ROS p value**
Classical
Associated
1 140.4±10.3
0.4585 2 147.8±25.4
3 149.7±18.1
Unassociated
1 120.8±8.3
0.9373 2 123.2±16.9
3 123.5±10.7
Intermediate
Associated
1 151.4±25.8
0.6040 2 149.6±26.2
3 157.8±22.4
Unassociated
1 117.3±10.4
0.5280 2 123.6±18.7
3 120.1±9.2
Non-classical
Associated
1 133.6±17.5
0.4812 2 147.1±29.5
3 146.2±16.1
Unassociated
1 103.4±8.5
0.4432 2 113.2±17.9
3 109.1±6.0
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S8 – Comparison of ROS production by monocyte subsets between L.
aethiopica lab with each clinical isolate.
Monocyte
subset Association L. aethiopica
ROS
ROS with
L. aethiopica lab p value*
Classical
Associated
1 140.4±10.3
139.4±22.3
0.8032
2 147.8±25.4 0.4954
3 149.7±18.1 0.5936
Unassociated
1 120.8±8.3
108.0±15.7
0.0982
2 123.2±16.9 0.1191
3 123.5±10.7 0.0465
Intermediate
Associated
1 151.4±25.8
132.1±25.7
0.2128
2 149.6±26.2 0.2076
3 157.8±22.4 0.0690
Unassociated
1 117.3±10.4
105.7±16.4
0.1695
2 123.6±18.7 0.0607
3 120.1±9.2 0.0716
Non-classical
Associated
1 133.6±17.5
125.9±26.6
0.6509
2 147.1±29.5 0.6096
3 146.2±16.1 0.8275
Unassociated
1 103.4±8.5
97.4±10.4
0.3287
2 113.2±17.9 0.0778
3 109.1±6.0 0.0298
Primary human monocytes were co-incubated for 2 hours with L. aethiopicaFR promastigotes at
an MOI of 1:10. P Monocyte ROS production was measured by flow cytometry using a ROS-
IDTM Total ROS detection kit, was calculated as % of baseline ROS production, and is shown
as mean ± SD. L. aethiopica lab: n=8, L. aethiopica 1: n=6, L. aethiopica 2: n=9, and L.
aethiopica 3: n=8. Statistical differences between L. aethiopica lab and each clinical isolate
were determined using a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S9 – Chemokine production in response to co-incubation with the four L.
aethiopica isolates.
Chemokine L. aethiopica Concentration Baseline
concentration p value*
MCP-1
lab 169.8±145.0
58.32±63.41
0.0185
1 172.6±140.3 0.0288
2 177.4±139.5 0.0115
3 175.0±136.5 0.0115
MCP-4
lab 15.59±12.36
4.337±2.064
0.0002
1 19.65±18.02 0.0068
2 24.28±13.77 <0.0001
3 19.38±8.883 <0.0001
MIP-1α
lab 352.0±374.6
22.34±27.03
<0.0001
1 1271±1596 <0.0001
2 1692±1419 <0.0001
3 799.0±1044 <0.0001
MIP-1β
lab 430.9±412.2
81.66±118.6
0.0011
1 1187±1844 0.0005
2 2134±3655 <0.0001
3 1013±1743 0.0002
IL-8
lab 785.3±500.3
371.3±447.8
0.0232
1 798.8±453.5 0.0232
2 983.0±314.7 0.0029
3 876.4±373.3 0.0147
Primary human monocytes were co-incubated for 2 hours with L. aethiopica promastigotes at an
MOI of 1:10. Supernatants were collected and analysed on a V-PLEX Chemokine Panel 1
Human Kit to determine the concentration of 10 different chemokines. Chemokine concentration
(pg/mL) is shown as mean ± SD. n=10 for all parasite isolates. Statistical differences were
determined using a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S10 – Comparing chemokine production in response to co-incubation with
clinical isolates.
Chemokine L. aethiopica Concentration p value**
MCP-1
1 494.9±310.3
0.9683 2 535.5±340.5
3 517.9±310.8
MCP-4
1 474.6±344.2
0.5661 2 656.1±423.3
3 521.5±299.6
MIP-1α
1 5172±4493
0.0964 2 11508±11824
3 4971±4077
MIP-1β
1 1459±932.7
0.1289 2 2941±2593
3 1610±1426
IL-8
1 635.6±667.5
0.6069 2 980.8±848.4
3 784.3±704.2
Primary human monocytes were co-incubated for 2 hours with L. aethiopica promastigotes at an
MOI of 1:10. Supernatants were collected and analysed on a V-PLEX Chemokine Panel 1
Human Kit to determine the concentration of 10 different chemokines. Chemokine concentration
was calculated as % of baseline production (%) is shown as mean ± SD. n=10 for all parasite
isolates. Statistical differences between the three clinical isolates were determined using a
Kruskal-Wallis test**.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S11 – Comparing chemokine production in response to co-incubation with L.a.
lab and clinical isolates.
Chemokine L. aethiopica Concentration Concentration with
L. aethiopica lab p value*
MCP-1
1 494.9±310.3
491.5±364.4
0.9118
2 535.5±340.5 0.7394
3 517.9±310.8 0.7959
MCP-4
1 474.6±344.2
397.2±269.4
0.7394
2 656.1±423.3 0.0892
3 521.5±299.6 0.2176
MIP-1α
1 5172±4493
2364±2248
0.1051
2 11508±11824 0.0021
3 4971±4077 0.0433
MIP-1β
1 1459±932.7
1018±1110
0.1655
2 2941±2593 0.0039
3 1610±1426 0.0433
IL-8
1 635.6±667.5
577.0±642.5
0.9705
2 980.8±848.4 0.4359
3 784.3±704.2 0.6305
Primary human monocytes were co-incubated for 2 hours with L. aethiopica promastigotes at an
MOI of 1:10. Supernatants were collected and analysed on a V-PLEX Chemokine Panel 1
Human Kit to determine the concentration of 10 different chemokines. Chemokine concentration
was calculated as % of baseline production (%) is shown as mean ± SD. n=10 for all parasite
isolates. Statistical differences between L. aethiopica lab and each clinical isolate were
determined using a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S12 – Cytokine production in response to co-incubation with the four L.
aethiopica isolates.
Cytokine L. aethiopica Concentration Baseline
concentration p value**
TNF-α
lab 134.9±98.14
6.137±6.628
0.0001
1 443.9±458.2 0.0001
2 597.5±395.8 <0.0001
3 299.7±221.2 <0.0001
IL-1β
lab 6.984±8.142
0.9005±0.9754
0.0185
1 20.94±28.01 0.0147
2 22.22±23.20 0.0005
3 9.353±10.82 0.0052
IL-6
lab 29.10±43.89
6.586±10.40
0.0433
1 88.40±137.6 0.0982
2 64.95±101.3 0.0147
3 48.22±96.99 0.0433
IL-10
lab 0.9682±0.9523
0.2390±0.2181
0.0147
1 1.448±1.693 0.0355
2 1.567±1.343 0.0068
3 1.209±1.070 0.0185
Primary human monocytes were co-incubated for 2 hours with L. aethiopica promastigotes at an
MOI of 1:10. Primary human monocytes were co-incubated for 2 hours with L. aethiopica
promastigotes at an MOI of 1:10. Supernatants were collected and analysed on a V-PLEX
Proinflammatory Panel 1 Human Kit to determine the concentration of 10 different cytokines.
Cytokine concentration (pg/mL) is shown as mean ± SD. n=10 for all parasite isolates.
Statistical differences were determined using a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S13 – Comparing cytokine production in response to co-incubation with clinical
isolates.
Cytokine L. aethiopica Concentration p value**
TNF-α
1 8838±9970 0.2842
2 19028±26340
3 11782±18872
IL-1β
1 1625±1435
0.4137 2 3468±4069
3 1603±1901
IL-6
1 981.0±858.2
0.5764 2 1138±1359
3 708.0±817.3
IL-10
1 519.8±455.6
0.7159 2 683.1±482.4
3 531.6±372.5
Primary human monocytes were co-incubated for 2 hours with L. aethiopica promastigotes at an
MOI of 1:10. Supernatants were collected and analysed on a V-PLEX Proinflammatory Panel 1
Human Kit to determine the concentration of 10 different cytokines. Cytokine concentration was
calculated as % of baseline production (%) is shown as mean ± SD. n=10 for all parasite
isolates. Statistical differences between the three clinical isolates were determined using a
Kruskal-Wallis test**.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Table S14 – Comparing cytokine production in response to co-incubation with L.a. lab
and clinical isolates.
Cytokine L. aethiopica Concentration Concentration with
L. aethiopica lab p value*
TNF-α
1 8838±9970
4417±5926
0.2176
2 19028±26340 0.0185
3 11782±18872 0.1431
IL-1β
1 1625±1435
787.6±651.1
0.1655
2 3468±4069 0.0355
3 1603±1901 0.6305
IL-6
1 981.0±858.2
568.7±675.5
0.5288
2 1138±1359 0.1051
3 708.0±817.3 0.7959
IL-10
1 519.8±455.6
388.2±259.0
0.5288
2 683.1±482.4 0.2799
3 531.6±372.5 0.4359
Primary human monocytes were co-incubated for 2 hours with L. aethiopica promastigotes at an
MOI of 1:10. Supernatants were collected and analysed on a V-PLEX Proinflammatory Panel 1
Human Kit to determine the concentration of 10 different cytokines. Cytokine concentration was
calculated as % of baseline production (%) is shown as mean ± SD. n=10 for all parasite
isolates. Statistical differences between L. aethiopica lab and each clinical isolate were
determined using a Mann-Whitney test*.
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure 1
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure 2
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure 3
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure 4
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure 5
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure S1
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Figure S2
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprintthis version posted March 2, 2025. ; https://doi.org/10.1101/2025.02.26.640320doi: bioRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.