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Research article · 2025 · Full text

International Journal of Biology Sciences

Lysosomal biogenesis and degradation pathways in macrophage activation

Benedetta TerranovaBenedetta Vivaldi

Volume 7(6) · Pages 455–458 · DOI: 10.33545/26649926.2025.v7.i6g.781 ↗

Research areasAutophagy in Disease and TherapyCalcium signaling and nucleotide metabolismCellular transport and secretion

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Abstract

Author-written

Macrophages rely on lysosomes to degrade pathogens, recycle damaged organelles, and shape inflammatory responses, yet how lysosomal biogenesis is reprogrammed during activation remains poorly understood. This research examined the transcriptional and functional changes in lysosomal pathways across four macrophage polarisation states M0 (resting), M1 (classically activated with LPS and IFN-γ), M2 (alternatively activated with IL-4), and M1-to-M2 repolarised using THP-1-derived human macrophages at the Istituto di Biologia Marina del Tirreno, Naples, Italy. Quantitative RT-PCR showed that TFEB, the master regulator of lysosomal biogenesis, was upregulated 3.8-fold in M1 macrophages relative to M0, accompanied by increases in LAMP1 (2.6-fold), cathepsin D (4.1-fold), and the V-ATPase subunit ATP6V1H (3.3-fold). Lysosomal mass, measured by LysoTracker Deep Red staining, rose 2.7-fold in M1 cells. By contrast, M2 macrophages maintained near-baseline lysosomal gene expression but showed elevated autophagy flux, as indicated by LC3-II/LC3-I ratios 1.9 times higher than M0. Repolarised (M1→M2) macrophages retained intermediate lysosomal expansion with partial autophagy activation. These results indicate that M1 activation triggers a TFEB-driven surge in lysosomal biogenesis geared toward pathogen killing, while M2 polarisation favours autophagic recycling over de novo lysosome production, and repolarisation blends elements of both programmes.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Lysosomal dysfunction in macrophages can allow pathogens like Mycobacterium tuberculosis, Leishmania, and Salmonella to survive, turning the cells into reservoirs of infection. View evidence ↗

      Why it matters

      Lysosomal dysfunction in macrophages can allow pathogens like Mycobacterium tuberculosis, Leishmania, and Salmonella to survive, turning the cells into reservoirs of infection.

      In the paper's own words

      “Macrophages that fail to digest intracellular pathogens become reservoirs of infection rather than defenders against it. Mycobacterium tuberculosis, Leishmania, and Salmonella all exploit lysosomal dysfunction to survive inside host macrophages”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The creation of lysosomes is primarily controlled by the transcription factor TFEB, which activates the CLEAR gene network when it moves into the cell nucleus. View evidence ↗

      Why it matters

      The creation of lysosomes is primarily controlled by the transcription factor TFEB, which activates the CLEAR gene network when it moves into the cell nucleus.

      In the paper's own words

      “Their biogenesis is controlled largely by TFEB (transcription factor EB), a basic helix-loop-helix leucine-zipper protein that, when dephosphorylated and translocated to the nucleus, activates the CLEAR (Coordinated Lysosomal Expression and Regulation) gene network”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Macrophages can be polarized into M1 states (pro-inflammatory and optimized for killing pathogens) or M2 states (involved in tissue repair and parasite defense). View evidence ↗

      Why it matters

      Macrophages can be polarized into M1 states (pro-inflammatory and optimized for killing pathogens) or M2 states (involved in tissue repair and parasite defense).

      In the paper's own words

      “Classical (M1) activation by LPS and IFN-γ produces pro-inflammatory cells optimised for pathogen killing, while alternative (M2) activation by IL-4 generates cells involved in tissue repair and parasite defence”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to compare TFEB activity, lysosomal gene expression, lysosomal mass, degradation capacity, and autophagy flux across M0, M1, M2, and M1-to-M2 repolarized macrophage states. View evidence ↗

      The question

      The study aimed to compare TFEB activity, lysosomal gene expression, lysosomal mass, degradation capacity, and autophagy flux across M0, M1, M2, and M1-to-M2 repolarized macrophage states.

      In the paper's own words

      “This research set out to a) Compare TFEB activity and lysosomal gene expression across M0, M1, M2, and M1→M2 macrophage states, b) Measure lysosomal mass and degradation capacity in each state, and c) Assess autophagy flux as a complementary degradation pathway.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The researchers used THP-1 human monocytic cells for the experiments. View evidence ↗

      What they did

      The researchers used THP-1 human monocytic cells for the experiments.

      In the paper's own words

      “THP-1 human monocytic cells (ATCC TIB-202) were obtained from the American Type Culture Collection (Manassas, VA, USA).”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗
    • Monocytes were differentiated with 100 nM PMA for 48 hours and then polarized into M1 (LPS and IFN-γ), M2 (IL-4), or M1-to-M2 (M1 protocol then IL-4) states over 24 hours. View evidence ↗

      What they did

      Monocytes were differentiated with 100 nM PMA for 48 hours and then polarized into M1 (LPS and IFN-γ), M2 (IL-4), or M1-to-M2 (M1 protocol then IL-4) states over 24 hours.

      In the paper's own words

      “THP-1 monocytes were differentiated into macrophages by treatment with 100 nM PMA for 48 h... macrophages were polarised: M1 (100 ng/mL LPS + 20 ng/mL IFN-γ, 24 h); M2 (20 ng/mL IL-4, 24 h); M1→M2 (M1 protocol followed by 24 h IL-4). M0 controls received vehicle only.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • RT-qPCR was used to quantify the expression of several lysosomal and autophagy genes, including TFEB, LAMP1, and CTSD, normalized to GAPDH. View evidence ↗

      What they did

      RT-qPCR was used to quantify the expression of several lysosomal and autophagy genes, including TFEB, LAMP1, and CTSD, normalized to GAPDH.

      In the paper's own words

      “Gene expression was quantified by RT-qPCR (Applied Biosystems QuantStudio 5) for TFEB, LAMP1, LAMP2, CTSD (cathepsin D), ATP6V1H, MCOLN1, SQSTM1 (p62), and BECN1 (Beclin-1), normalised to GAPDH.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • Lysosomal mass was measured via LysoTracker Deep Red staining, autophagy flux via LC3-II/LC3-I ratios, and proteolytic capacity via a DQ-BSA degradation assay. View evidence ↗

      What they did

      Lysosomal mass was measured via LysoTracker Deep Red staining, autophagy flux via LC3-II/LC3-I ratios, and proteolytic capacity via a DQ-BSA degradation assay.

      In the paper's own words

      “Lysosomal mass was assessed by LysoTracker Deep Red staining analysed on a BD FACSCelesta flow cytometer. Autophagy flux was determined by comparing LC3-II/LC3-I ratios (western blot) with and without 100 nM bafilomycin A1 for 4 h. DQ-BSA degradation assay measured proteolytic capacity”

      Page 2

      Found in: Quality control

      Read it in the full textOpen PDF at page 2 ↗
    • To determine if TFEB was necessary for M1 lysosomal expansion, the researchers used 50 nM TFEB siRNA for knockdown 48 hours before polarization. View evidence ↗

      What they did

      To determine if TFEB was necessary for M1 lysosomal expansion, the researchers used 50 nM TFEB siRNA for knockdown 48 hours before polarization.

      In the paper's own words

      “To test whether TFEB was required for M1 lysosomal expansion, a parallel set of experiments used TFEB siRNA knockdown (Dharmacon SMARTpool, 50 nM, Lipofectamine RNAiMAX, 48 h before polarisation).”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • M1 polarization caused a significant increase in TFEB mRNA (3.8-fold), CTSD (4.1-fold), ATP6V1H (3.3-fold), and lysosomal mass (2.7-fold) compared to M0 cells. View evidence ↗

      What they found

      M1 polarization caused a significant increase in TFEB mRNA (3.8-fold), CTSD (4.1-fold), ATP6V1H (3.3-fold), and lysosomal mass (2.7-fold) compared to M0 cells.

      In the paper's own words

      “TFEB mRNA rose 3.8-fold, and downstream targets CTSD and ATP6V1H increased 4.1- and 3.3-fold, respectively. Lysosomal mass measured by LysoTracker MFI was 2.7-fold higher in M1 than M0 (p<0.001).”

      Page 2

      Found in: Quality control

      Read it in the full textOpen PDF at page 2 ↗
    • M1 cells exhibited the highest proteolytic capacity, with DQ-BSA fluorescence at 9,870 RFU compared to 4,210 RFU in M0 cells. View evidence ↗

      What they found

      M1 cells exhibited the highest proteolytic capacity, with DQ-BSA fluorescence at 9,870 RFU compared to 4,210 RFU in M0 cells.

      In the paper's own words

      “DQ-BSA proteolytic capacity was highest in M1 cells (9,870 RFU vs. 4,210 in M0, p<0.001), consistent with the expanded lysosomal pool.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • TFEB nuclear translocation was significantly higher in M1 cells (62.7%) than in M0 cells (8.3%). View evidence ↗

      What they found

      TFEB nuclear translocation was significantly higher in M1 cells (62.7%) than in M0 cells (8.3%).

      In the paper's own words

      “TFEB was nuclear in 62.7% of M1 cells versus only 8.3% of M0”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
    • Knocking down TFEB in M1 cells reduced lysosomal mass (LysoTracker signal) by 54% and proteolytic capacity (DQ-BSA fluorescence) by 47%. View evidence ↗

      What they found

      Knocking down TFEB in M1 cells reduced lysosomal mass (LysoTracker signal) by 54% and proteolytic capacity (DQ-BSA fluorescence) by 47%.

      In the paper's own words

      “TFEB siRNA knockdown reduced M1 LysoTracker signal by 54% and DQ-BSA fluorescence by 47%, confirming that TFEB is required for the M1 lysosomal expansion programme.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • Repolarized M1-to-M2 macrophages displayed an intermediate phenotype, falling between M1 and M2 states for most measured markers. View evidence ↗

      What they found

      Repolarized M1-to-M2 macrophages displayed an intermediate phenotype, falling between M1 and M2 states for most measured markers.

      In the paper's own words

      “The M1→M2 repolarised state fell between M1 and M2 for most markers.”

      Page 2

      Found in: Quality control

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors conclude that M1 activation uses TFEB to expand lysosome number and capacity for pathogen killing, whereas M2 activation focuses on autophagy for recycling. View evidence ↗

      What it means

      The authors conclude that M1 activation uses TFEB to expand lysosome number and capacity for pathogen killing, whereas M2 activation focuses on autophagy for recycling.

      In the paper's own words

      “M1 activation triggers a TFEB-dependent surge in lysosomal biogenesis that expands both the number and degradative capacity of lysosomes, equipping the cell for pathogen destruction. M2 activation takes a different path, maintaining baseline lysosomal mass while upregulating autophagy for organelle recycling.”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗
    • The authors recommend that therapeutic strategies targeting TFEB or autophagy should be 'polarization-aware' to achieve more precise control over macrophage degradation. View evidence ↗

      What it means

      The authors recommend that therapeutic strategies targeting TFEB or autophagy should be 'polarization-aware' to achieve more precise control over macrophage degradation.

      In the paper's own words

      “Strategies that modulate TFEB activity or autophagy flux in a polarisation-aware manner could offer more precise control over macrophage degradation than current broad-spectrum approaches.”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (mouse macrophages). It explains the idea and does not show study data.↗ Enlarge
M1 vs M2 Degradation Pathways
AI-generated conceptual illustration (mouse macrophages). It explains the idea and does not show study data.

AI-generated conceptual illustration (mouse macrophages). It explains the idea and does not show study data.

Open full-size image ↗

M1 vs M2 Degradation Pathways

AI-generated conceptual illustration (mouse macrophages). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
M0 and M1 and more: TFEB vs LAMP1 vs CTSD vs ATP6V1H vs LysoTracker MFI (fold)
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

M0 and M1 and more: TFEB vs LAMP1 vs CTSD vs ATP6V1H vs LysoTracker MFI (fold)

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
DQ-BSA fluorescence (RFU): M0 vs M1 vs M2 vs M1→M2
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

DQ-BSA fluorescence (RFU): M0 vs M1 vs M2 vs M1→M2

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Lysosomal gene expression (fold change vs. M0) and lysosomal mass across macrophage polarisation states (mean ± SD, n = 3)Table 1Page 2Autophagy flux and degradation capacity by polarisation state (mean ± SD, n = 3)Table 2Page 2Heatmap of lysosomal and autophagy gene expression (fold change vs. M0) across four macrophage polarisation states. ColourFigure 1Page 3Simplified process diagram of TFEB-driven lysosomal biogenesis in M1 macrophages, from mTORC1 inhibition to pathogenFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Macrophages that fail to digest intracellular pathogens become reservoirs of infection rather than defenders against it. Mycobacterium tuberculosis, Leishmania, and Salmonella all exploit lysosomal dysfunction to survive inside host macrophages, turning a cell that should destroy them into a safe house [1] . Understanding how macrophages build and regulate their lysosomal compartment is therefore not just a cell-biology question it has direct bearing on infectious-disease outcomes. Lysosomes are membrane-bound organelles containing more than 60 acid hydrolases that break down proteins, lipids, nucleic acids, and carbohydrates [2] . Their biogenesis is controlled largely by TFEB (transcription factor EB), a basic helix-loop-helix leucine-zipper protein that, when dephosphorylated and translocated to the nucleus, activates the CLEAR (Coordinated Lysosomal Expression and Regulation) gene network [3] . Under nutrient-rich conditions, mTORC1 phosphorylates TFEB on the lysosomal surface, keeping it cytoplasmic and inactive. Starvation, infection, or specific signalling cues relieve this inhibition, unleashing a wave of lysosomal gene transcription [4] . Macrophages adopt distinct functional programmes depending on environmental signals. Classical (M1) activation by LPS and IFN-γ produces pro-inflammatory cells optimised for pathogen killing, while alternative (M2) activation by IL-4 generates cells involved in tissue repair and parasite defence [5] . How these opposing programmes reshape the lysosomal compartment is only partly understood. M1 macrophages have been shown to increase reactive oxygen species production within phagolysosomes, but whether this is accompanied by wholesale expansion of the lysosomal pool through TFEB activation has not been quantified systematically [6] . Equally unclear is what happens when macrophages switch from one programme to another a process called repolarisation that occurs routinely during the resolution phase of International Journal of Biology Sciences https://www.biologyjournal.net inflammation [7] . If repolarised macrophages inherit the inflated lysosomal compartment of M1 cells but adopt the autophagic recycling preference of M2 cells, the combination could produce a uniquely efficient degradation phenotype with relevance to tissue remodelling. This research set out to a) Compare TFEB activity and lysosomal gene expression across M0, M1, M2, and M1→M2 macrophage states, b) Measure lysosomal mass and degradation capacity in each state, and c) Assess autophagy flux as a complementary degradation pathway.

Material and Methods

Material and Methods

Reagents and chemicals

Reagents and chemicals

Quality control

All experiments were performed in biological triplicate (three independent THP-1 passages). RT-qPCR included notemplate controls and melt-curve analysis; amplification efficiency was 95-105% for all primers. Western blots included molecular weight markers and loading controls (βactin). Flow cytometry gates were set using unstained and single-stain controls with compensation applied via FlowJo v10. ELISA standard curves achieved R² ≥ 0.99. 1). TFEB mRNA rose 3.8-fold, and downstream targets CTSD and ATP6V1H increased 4.1-and 3.3-fold, respectively. Lysosomal mass measured by LysoTracker MFI was 2.7-fold higher in M1 than M0 (p<0.001). M2 cells showed minimal changes in lysosomal genes but displayed elevated LC3-II/LC3-I ratios (1.9-fold vs. M0, p = 0.003), indicating heightened autophagy. The M1→M2 repolarised state fell between M1 and M2 for most markers.

Results

Results

Comprehensive interpretation

The heatmap (Figure 1) reveals a stark contrast between M1 and M2 profiles: M1 cells upregulate almost every lysosomal gene tested, while M2 cells favour the autophagyrelated SQSTM1 and BECN1. The process diagram (Figure 2) maps the M1 biogenesis cascade from mTORC1 relief through TFEB nuclear entry to V-ATPase assembly and pathogen destruction.

Figure 2. Simplified process diagram of TFEB-driven lysosomal biogenesis in M1 macrophages, from mTORC1 inhibition to pathogen
Simplified process diagram of TFEB-driven lysosomal biogenesis in M1 macrophages, from mTORC1 inhibition to pathogen↗ Enlarge
Figure 2
Simplified process diagram of TFEB-driven lysosomal biogenesis in M1 macrophages, from mTORC1 inhibition to pathogen

Simplified process diagram of TFEB-driven lysosomal biogenesis in M1 macrophages, from mTORC1 inhibition to pathogen

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 1. Heatmap of lysosomal and autophagy gene expression (fold change vs. M0) across four macrophage polarisation states. Colour
Heatmap of lysosomal and autophagy gene expression (fold change vs. M0) across four macrophage polarisation states. Colour↗ Enlarge
Figure 1
Heatmap of lysosomal and autophagy gene expression (fold change vs. M0) across four macrophage polarisation states. Colour

Heatmap of lysosomal and autophagy gene expression (fold change vs. M0) across four macrophage polarisation states. Colour

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

Discussion

The 3.8-fold TFEB induction in M1 macrophages agrees with reports in murine bone-marrow-derived macrophages, where LPS triggers TFEB nuclear translocation within hours [8] . What the present research adds is a direct comparison of TFEB-driven lysosomal expansion across four human macrophage states in a single experimental framework, including the therapeutically relevant M1→M2 repolarisation transition.

The finding that M2 macrophages rely more on autophagy than on de novo lysosomal biogenesis is consistent with their metabolic profile. M2 cells depend on oxidative phosphorylation and fatty acid oxidation, processes that generate damaged mitochondria requiring autophagic clearance [9] . By keeping lysosomal gene expression near baseline but elevating autophagy flux, M2 cells may conserve energy while still maintaining organelle quality control. The intermediate phenotype of repolarised (M1→M2) macrophages is particularly interesting for therapeutic contexts. During infection resolution, macrophages transition from pro-inflammatory to tissue-repair programmes. If these cells retain part of the M1 lysosomal arsenal while gaining M2 autophagic capacity, they may be especially effective at clearing cellular debris a function needed during wound healing [10] . This dual capability could explain why repolarisation strategies are being explored for International Journal of Biology Sciences https://www.biologyjournal.net chronic inflammatory diseases such as atherosclerosis, where lipid-laden macrophages need both efficient degradation and reduced inflammatory output [11] . The dependence of M1 lysosomal expansion on TFEB was confirmed by siRNA knockdown, which cut both lysosomal mass and proteolytic capacity roughly in half. This positions TFEB as a potential therapeutic target: enhancing TFEB activity could boost macrophage killing of intracellular pathogens, while inhibiting it might dampen excessive lysosomal enzyme release in auto-inflammatory conditions [12] .

Conclusion

This research demonstrates that macrophage polarisation rewires the lysosomal compartment in programme-specific ways. M1 activation triggers a TFEB-dependent surge in lysosomal biogenesis that expands both the number and degradative capacity of lysosomes, equipping the cell for pathogen destruction. M2 activation takes a different path, maintaining baseline lysosomal mass while upregulating autophagy for organelle recycling. Macrophages that transition from M1 to M2 inherit features of both programmes, producing an intermediate degradation phenotype. These distinctions matter for infectious disease, cancer immunotherapy, and chronic inflammation, where macrophage function is a therapeutic target. Strategies that modulate TFEB activity or autophagy flux in a polarisationaware manner could offer more precise control over macrophage degradation than current broad-spectrum approaches.

Acknowledgement

Acknowledgements Funding sourcesThis research was supported by institutional funds from the Istituto di Biologia Marina del Tirreno and a competitive grant from the Italian Ministry of University and Research (MUR) under the PRIN programme.

Figures and tables from the paper

Table 1. Lysosomal gene expression (fold change vs. M0) and lysosomal mass across macrophage polarisation states (mean ± SD, n = 3)
Gene/ParameterM0M1M2M1→M2
TFEB1.00 ± 0.083.81 ± 0.421.38 ± 0.142.12 ± 0.29
LAMP11.00 ± 0.112.61 ± 0.331.82 ± 0.192.28 ± 0.27
CTSD1.00 ± 0.094.12 ± 0.511.21 ± 0.131.82 ± 0.24
ATP6V1H1.00 ± 0.073.31 ± 0.380.94 ± 0.111.64 ± 0.21
LysoTracker MFI (fold)1.00 ± 0.062.73 ± 0.311.14 ± 0.091.87 ± 0.22

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Lysosomal gene expression (fold change vs. M0) and lysosomal mass across macrophage polarisation states (mean ± SD, n = 3)↗ Enlarge
Table 1
Lysosomal gene expression (fold change vs. M0) and lysosomal mass across macrophage polarisation states (mean ± SD, n = 3)

Lysosomal gene expression (fold change vs. M0) and lysosomal mass across macrophage polarisation states (mean ± SD, n = 3)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Table 2. Autophagy flux and degradation capacity by polarisation state (mean ± SD, n = 3)
ParameterM0M1M2M1→M2
LC3-II/LC3-I ratio1.00 ± 0.121.34 ± 0.181.91 ± 0.241.72 ± 0.21
DQ-BSA fluorescence (RFU)4,210 ± 3809,870 ± 7105,140 ± 4207,630 ± 560
TFEB nuclear (% cells)8.3 ± 2.162.7 ± 7.414.1 ± 3.831.4 ± 5.2

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Autophagy flux and degradation capacity by polarisation state (mean ± SD, n = 3)↗ Enlarge
Table 2
Autophagy flux and degradation capacity by polarisation state (mean ± SD, n = 3)

Autophagy flux and degradation capacity by polarisation state (mean ± SD, n = 3)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

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