Skip to main content


Front. Immunol., 05 November 2020
Sec. Inflammation
Volume 11 - 2020 |

HPS1 Regulates the Maturation of Large Dense Core Vesicles and Lysozyme Secretion in Paneth Cells

Jiaying Yu1,2, Xin He2, Aihua Wei3, Teng Liu3, Qin Zhang4, Ying Pan4, Zhenhua Hao1, Lin Yang2, Yefeng Yuan1, Zhao Zhang2, Chang Zhang2, Chanjuan Hao1, Zhihua Liu4* and Wei Li1*
  • 1Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, MOE Key Laboratory of Major Diseases in Children, Genetics and Birth Defects Control Center, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
  • 2University of Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
  • 3Department of Dermatology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
  • 4Institute for Immunology, Tsinghua-Peking Center for Life Sciences, School of Medicine, Tsinghua University, Beijing, China

HPS1, a BLOC-3 subunit that acts as a guanine nucleotide exchange factor of Rab32/38, may play a role in the removal of VAMP7 during the maturation of large dense core vesicles of Paneth cells. Loss of HPS1 impairs lysozyme secretion and alters the composition of intestinal microbiota, which may explain the susceptibility of HPS-associated inflammatory bowel disease. Hermansky-Pudlak syndrome (HPS) is characterized by oculocutaneous albinism, bleeding tendency, and other chronic organ lesions due to defects in tissue-specific lysosome-related organelles (LROs). For some HPS subtypes, such as HPS-1, it is common to have symptoms of HPS-associated inflammatory bowel disease (IBD). However, its underlying mechanism is largely unknown. HPS1 is a subunit of the BLOC-3 complex which functions in the biogenesis of LROs. Large dense core vesicles (LDCVs) in Paneth cells of the intestine are a type of LROs. We here first report the abnormal LDCV morphology (increased number and enlarged size) in HPS1-deficient pale ear (ep) mice. Similar to its role in melanosome maturation, HPS1 plays an important function in the removal of VAMP7 from LDCVs to promote the maturation of LDCVs. The immature LDCVs in ep mice are defective in regulated secretion of lysozyme, a key anti-microbial peptide in the intestine. We observed changes in the composition of intestinal microbiota in both HPS-1 patients and ep mice. These findings provide insights into the underlying mechanism of HPS-associated IBD development, which may be implicated in possible therapeutic intervention of this devastating condition.


Hermansky-Pudlak Syndrome (HPS) is a recessive rare genetic disease. So far, 11 HPS subtypes (HPS-1~HPS-11) have been identified. The protein complexes associated with these HPS genes are named as HPS protein associated complexes (HPACs), including AP-3 (Adapter Protein-3), BLOC (biogenesis of lysosome-related organelles complex)-1, BLOC-2, BLOC-3, and HOPS (homotypic fusion and protein sorting complex) (1). HPACs have been known to function in the maturation and secretion of lysosome-related organelles (LROs). The main clinical features of HPS are oculocutaneous albinism, prolonged bleeding, and pulmonary fibrosis or inflammatory bowel disease (IBD) in some cases, which threaten the life of HPS patients (1). There are two major types of IBD, Crohn’s disease (CD) and ulcerative colitis. HPS patients with IBD mostly have symptoms at adolescence with characteristics of CD (2). CD symptoms have been reported in some cases of HPS-1, HPS-4, and HPS-6 subtypes (3, 4).

CD is thought to be a complex disorder associated with both genetic and environmental factors, characterized by abdominal cramps, fever, weight loss, malnutrition, frequent diarrhea, and blood in the stool. Individuals carrying IBD susceptibility genes are more liable to environmental influences that may induce intestinal immune imbalance leading to inflammation (5). Twenty to 50% of patients with CD show abnormalities in the morphology and function of Paneth cells (PCs) (6). Paneth cells, located at the bottom of the small intestinal crypts, are highly specialized polarized cells with a large amount of mature large dense core vesicles (LDCVs) at the apical microvillar terminus. The number of PCs gradually increases from the end of the duodenum to the end of the cecum, with the most abundant distribution at the end of the small intestine (7). A number of CD susceptibility genes are associated with the function of PCs. Previous studies have proposed the concept of “Paneth disease” to describe a series of intestinal diseases caused by abnormal PCs, suggesting association between PC dysfunction and defective antibacterial ability in CD (8). PCs execute immune function through the degranulation of LDCVs containing lysozyme, defensins (also known as cryptdins in mice), secreted phospholipase A2, C-type lectin Reg3γ and other anti-microbial peptides (AMPs) (9).

LDCV is a type of LROs (1, 10, 11) which mainly present in nerve cells, exocrine cells, and endocrine cells (1214), to store and secrete contained molecules (15). LDCV originates from trans-Golgi network (TGN) (16). Within PCs, various AMPs are selectively sorted and transported into LDCVs after their synthesis from TGN. Sorting of lysozyme, a major component of PC LDCVs, is directed by commensal bacteria through the NOD2-LRRK2-Rab2a axis. Upon microbial sensing, NOD2 recruits LRRK2, and subsequently Rab2a, on LDCVs, which retains lysozyme in mature LDCVs, Loss of NOD2, LRRK2, or Rab2a from the surface of LDCVs results in lysosomal degradation of lysozyme in PCs (17). However, the regulatory mechanisms for the biogenesis and secretion of PC LDCVs are largely unknown.

HPS-1 is the predominant subtype accounting for 47.5% of reported HPS cases in the Chinese population (18). HPS1 and HPS4 proteins are found in the BLOC-3 complex. The known function of BLOC-3 is to recycle v-SNAREs on stage IV melanosomes (19) by acting as a GDP/GTP exchange factor (GEF) of Rab38 or Rab32 (20). Dysfunction of BLOC-3 leads to the retention of VAMP7 in melanosomes that affects their maturation (19) and exocytosis (21). Accumulating case reports have shown that among 11 HPS subtypes the incidence of HPS-1 is much higher than the others, and at least 10% of the reported HPS-1 cases had colitis or CD-like IBD (3). However, the role of HPS1 deficiency in the pathogenesis of CD-like IBD is still unclear. BLOC-3 is ubiquitously expressed and PC LDCV has LRO features like melanosome. However, whether HPS1 or BLOC-3 plays a role in the function of PC LDCVs, which is likely associated with the CD-like manifestations, remains elusive.

Here we use the HPS1-deficient mouse model, pale ear (ep), to explore the underlying mechanism of HPS-associated IBD. For the first time, we report compositional changes in the fecal microbiome of HPS-1 patients and ep mice and the abnormal secretion of lysozyme in ep PC LDCVs. This establishes a link between the dysfunction of PC LDCVs and the susceptibility of HPS-associated IBD.

Material and Methods


The HPS1 deficient ep mice and C57BL/6J mice (WT) were originally obtained from Jackson Laboratory, and maintained at Dr. Richard T. Swank’s lab. Mice were bred under specific pathogen-free conditions in the animal facility of the Institute of Genetics and Developmental Biology (IGDB), Chinese Academy of Sciences. Genotyping primers for the ep mutant are 5’-ACTGTGGGGTGGACATTTGG-3’ and 5’-AGTGATGCGCCCTAGGCAAT-3 (348 bp amplicon), and primers for WT Hps1 are 5’-ACTGTGGGGTGGACATTTGG-3’ and 5’-AGAAGCCTGCAAGCAAGACG-3’ (264 bp amplicon). Age and gender matched WT and ep/+ mice were used as controls. All animal experiments were approved by the Institutional Animal Care and Use Committee of IGDB.


Patients recruited in this study were diagnosed with HPS-1 at Beijing Tongren Hospital from 2013 to 2018. Diagnosis of HPS was based on clinical manifestations, absence of platelet dense granules under electron microscopy, loss of platelet HPS1 or HPS4 protein by Western blotting (18). Mutations of the HPS1 gene confirmed the diagnosis of HPS-1 by next-generation sequencing (22). Patient H006 was reported previously (22). Patient H014 and H015 were reported recently (18) (Table S1). Healthy controls are volunteers recruited from Beijing Tongren Hospital, Capital Medical University. Fecal samples of control and HPS1 patient families were obtained after written informed consents. Fecal sample and patient data used in this study were approved by the internal review board of the bioethics committees of Beijing Tongren Hospital, Capital Medical University. The study was conducted according to the declaration of Helsinki principles.


The polyclonal HPS1 antibody was generated in New Zealand white rabbits against a His-tagged fusion protein corresponding to the mouse full-length Hps1 gene (NM_019424). The polyclonal rabbit anti-procryptdin antibody was from Dr. Zhihua Liu’s Laboratory, Institute of Biophysics, Chinese Academy of Sciences. The FITC conjunct Ulex europaeus lectin (L9006) and monoclonal anti-β-Actin antibody (A5441) were purchased from Sigma. Rhodamine-labeled UEA-I (RL-1062) was purchased from Vector Laboratories. Anti-LYZ (C-term) rabbit polyclonal antibody (617544) and Rab2a rabbit polyclonal antibody (510764) were purchased from ZENBIO. Purified mouse anti-GM130 antibody (610822) and mouse anti-human LAMP-1 antibody (611043) were obtained from BD Biosciences. TfR antibody (OX26) (NB200-585SS) was purchased from Novus Biology. Rab38 antibody (9688) was purchased from Cell Signaling Technology. Rab32 antibody (SAB4200086) was purchased from Sigma-Aldrich (Darmstadt, Germany). VAMP7 monoclonal mouse purified IgG (232011) was purchased from Synaptic Systems (Goettingen, Germany). TGN38 (21-G) antibody (sc-101273) was purchased from SANTA CRUZ. HRP-labeled goat anti-Mouse IgG (ZB-2301) and HRP-labeled goat anti-Rabbit IgG (ZB-2305) were purchased from Zsbio, China. Alexa Fluor 488 Donky-anti-Rabbit IgG (A21206) and Alexa Fluor 488 Donky-anti-Mouse IgG (A28175) were purchased from Invitrogen.

16S rDNA Extraction and Microbiota Analysis

Sample collection, shipping, and DNA extraction were performed following the manufacturer’s protocols. Fresh stool sample were collected in collection tubes with stool DNA stabilizer (1038111300, Stratec, Germany) and 16S rDNA was extracted with PSP Spin Stool DNA Plus Kit (1038110300, Stratec, Germany). All extracted DNA samples were kept at -80°C before further analysis. The variable V4 region of 16S rRNA gene was amplified from samples by IonS5™XL platform using the primers 515F and 806R for bacterial diversity analysis. Cutadapt (V1.9.1, and Barcode were used to get the Raw Reads. The chimerical sequences were removed from the Raw Reads by comparing reads sequences to the species detection chimeric sequences ( (23) to get the Clean Reads. Uparse (v7.0.1001, were used for the clustering of the Clean Reads. Sequences with 97% of consistency (Identity) were clustered as the Operational Taxonomic Units (OTUs). Taxonomic analysis and community diversity were analyzed by the R software (Version 2.15.3) (24). Alpha diversity index analysis was carried out for different groups under 97% consistency threshold; the data volume cutoff = 60481 was selected during homogenization. T-test and Wilcox rank sum test were used for parametric test and non-parametric test, respectively. T-test was conducted between groups to find inter-group differences at different levels of classification (Phylum, Class, Order, Family, Genus, Species) with significant differences (p < 0.05). By default, the results of the gate level are displayed, and if there is no significant difference in the gate level, the next level is displayed. LDA Effect Size (25) analysis was performed by the LEfSe software (, the default filter value LDA Score = 4.4.

Quantitative RT-PCR

Total RNA was extracted from distal ileum tissue of 5 pairs of age-matched WT and ep mice using RNeasy Mini kit (74104, Qiagen) and first-strand cDNA was generated with the iScript cDNA Synthesis Kit (1708890, Bio-Rad) according to the manufacturer’s protocols. qRT-PCR analysis was performed using SYBR PrimeScript Ready Mix (Takara) in an ABI 7900 sequence detection system (Applied Biosystems). GAPDH expression was used for normalization. Total RNAs are from the dissected trunk region of zebrafish embryos. The PCR primers are:








Mouse small intestine tissues were obtained from distal ileum and homogenized by RIPA lysis with protease inhibitor cocktail (Sigma-Aldrich). After 30 min incubation on ice, lysate was centrifuged at 12,000 g for 15 min to remove nuclei and cell debris. 20 μg of total protein per lane was loaded and separated within SDS-PAGE gels, and transferred to polyvinylidene difluoride membranes (PVDF, Millipore). The membrane was probed by antibodies described above and visualized with SuperSignal West Pico Plus (Thermo Fisher) by chemiluminescence imager (Sage Creation, China).

Transmission Electron Microscope Assay

Mouse distal ileum sections were fixed over night by 0.1 M sodium phosphate buffer (pH 7.2) containing 2.5% glutaraldehyde and 2% paraformaldehyde at 4°C and washed by double distilled water for 4 times to remove glutaraldehyde. Tissue sections were then fixed by 1% osmic acid for 1 h at 4°C followed by dehydration with an acetone gradient (30-50-70-80-90-100-100-100%). Infiltration and embedment with an Embed 812 kit (EMS #14120, Electron Microscopy Sciences) were operated as the protocol described. 70 nm slices were prepared with Leica EM UC7 Ultramicrotome and images were obtained with a JEM 1400 electron microscope (JEOL, Japan).

Immunofluorescence Confocal Imaging

Mouse distal ileum tissue were fixed overnight with 4% paraformaldehyde in PBS buffer at 4°C and embedded with paraffin. 5 μm slices were prepared with a rotary paraffin microtome (Leica RM2255) and mounted on positively charged slides, followed by antigen retrieval of 20 min steaming with 0.01 M sodium citrate buffer (pH 6.0). Tissue slices were then blocked with 1% normal goat serum (AR0009, Wuhan booster, China) in PBS buffer for 30 min at room temperature, incubated in primary antibody solutions (lysozyme 1:200, procryptdin 1:50) at 4°C overnight, washed by PBS buffer for 3 times and incubated in secondary antibody solutions (1:1,000) and fluorescence conjunct lectin. Nucleus were stained by DAPI while mounting. Confocal images were acquired with a 100xoil objective with NA 1.40 on an ECLIPSE Ti-C2 confocal microscope (Nikon, Japan). Images were obtained using the NIS-Elements AR 3.2 software provided by Nikon, and analyzed with NIH Image J.

Image Analysis

Quantification of LDCVs and Paneth cell phenotype was done by two blinded investigators independently. Five randomly selected images acquired by a 100× oil objective with NA 1.40 per animal were quantified. For degranulation analysis of hematoxylin-eosin (H-E staining), 2 discontinuous slices per animal were quantified; all crypts observed on the slices were included. For degranulation analysis of immunofluorescence staining, 20 crypts of each genotype were quantified.

In Vivo LPS Treatment

Ep and littermate control mice received LPS (Cat. code: tlrl-eblps, InvivoGen, diluted to 5 mg/ml in endotoxin-free water, 200 μg LPS/30 g body weight) or 200 μl endotoxin-free water (mock treatment) by mouth. Mice were sacrificed 1.5 h after treatment, and intestinal tissues were processed as described above. Serial sections were used for HE and immunofluorescence staining of lysozyme and procryptdin.

In Vitro LPS Treatment

Intestinal crypts were isolated as described (17). Pelleted crypts were suspended with 2 ml iPIPES buffer (10 mM PIPES, 137 mM NaCl) and then treated with LPS (2 μg/ml) or endotoxin-free water (mock). At the designated time points after treatment, 5, 10, or 15 min, crypts and supernatant were collected by centrifugation at 4°C. For immunoblotting, crypt lysates were prepared as described above. Supernatant was mixed with 1% protease inhibitor cocktail before subjected to immunoblotting.

OptiPrep Gradient Assay

Mouse small intestinal crypts were homogenized in 500 μl HB buffer (250 mM sucrose, 20 mM Tris-HCl, 1 mM EDTA, pH 7.4) with protease inhibitor cocktail followed by a centrifugation at 1,000 g for 10 min at 4°C to obtain post-nuclear supernatant. 50 μl of the supernatant was saved as input control, 400 μl of the supernatant was loaded onto 20 ml linear 5–50% linear Optiprep gradient (Axis-Shield, Norway) in HB buffer with a Gradient Master (Biocomp, USA) and centrifuged at 30,000 rpm for 16 h in an SW41 rotor (Beckman, USA) at 4°C. Thirteen equal fractions were collected from top to bottom and protein was precipitated by TCA. The precipitated protein and input control were analyzed by SDS-PAGE and immunoblotting.


All values in the text are shown as mean ± s.e.m. The two-way ANOVA test and Tukey test were used in the microbiota analysis. Student’s t-test was used in other experiments to compare means of two groups and Tukey test was used to compare means of more than two groups. The differences of p <0.05 were considered as statistically significant.


Altered Composition in Fecal Microbiota of HPS-1 Patients and ep Mice

Fecal samples of 3 HPS-1 patients (age 6–7 years, Table S1) from 3 unrelated families and 4 healthy children (age 6–12 years) from 4 unrelated families along with samples from their parents were collected for 16S rDNA sequencing. Taxonomy-based analysis showed no significant gross alteration in the phylum composition of HPS-1 fecal microbiome compared to the control group (Figure 1A). Shannon diversity revealed no differences between HPS-1 patients and controls (Figure 1B). LDA effect size (LEfSe) is an analytical tool used to find and interpret the biomarkers (genes, pathways, classification units, etc.) between groups of high-dimensional data. It most likely explains differences between classes by coupling standard tests for statistical significance with additional tests encoding biological consistency and effect relevance, and emphasizes statistical significance and biological correlations (25). To identify the characteristics of different abundances and the associated categories, LEfSe was used to interpret the comparison of HPS-1 patients and controls. Prevotellaceae in the phylum Bateroidetes is the trait type in HPS-1 patients at the family level while healthy controls show predominantly Ruminoccacceae, a family in phylum Firmicutes (Figure 1C). Furthermore, no dominant species of the HPS-1 parent group were found in comparison to the healthy parent group (Figure S1). Similarly, a previous study reported that Prevotella is more abundant in fecal samples from patients with diarrhea-predominant irritable bowel syndrome compared to healthy controls (26). Thus, HPS-1 patients, but not their parents, had altered composition of fecal microbiota.


Figure 1 Fecal microbiota analysis reveals altered composition of HPS-1 patients and HPS-1 model mice. (A) According to the annotation results of species, the species with the largest abundance ranking in the top 10 in phylum level are shown in the histogram of relative abundance. (B) Shannon diversity of control and HPS-1. HPS-1 5.43 vs. control 5.55, p > 0.05, not significant (N.S.) (C) The graph shows the abundance of dominant families (LDA score > 4) between groups and the confidence degree of inter-group differences. Bars in the graph represent the mean distribution value of the species with significant abundance difference between HPS-1 and control group. The leftmost endpoint of each circle in the figure represents the lower limit of the 95% confidence interval of the mean difference, and the rightmost endpoint of the circle represents the upper limit of the 95% confidence interval of the mean difference. The center of the circle represents the difference in the mean. The group represented by the color of the circle is the group with a high mean value. At the far right of the results is the p-value of the inter-group significance test for the specie of difference. Prevotelleaceae LDA score 4.94, abundance 27.56% in HPS-1 vs. 0.19% in control, p < 0.05; Ruminoccacceae LDA score -5.04, abundance 20.00% in HPS-1 vs. 38.96% in control, p < 0.001. (D) Relative abundance of adult WT and ep mice determined by 16S DNA sequencing and taxonomic analysis. Firmicutes 41.00% in WT vs. 30.65.68% in ep, p < 0.05. (E) Shannon diversity of WT and ep mice fecal microbiome. ep 6.56 vs. WT 6.65, p > 0.05, N.S.,ep mice microbiome diversity shows higher variation within the genotype group. Fecal samples were taken from gender and age paired adult mice littermates. (F) The abundance of dominant family between WT and ep mice and the confidence degree of inter-group differences. Prevotellaceae LDA score 4.52, abundance 2.81% in WT vs. 7.49% in ep, p < 0.001. 8 mice of each genotype were included.

The HPS-1 mouse mutant, ep (or ep/ep), carries a spontaneous IAP element insertion in the Hps1 gene resulting in the absence of HPS1 protein (27). To investigate whether ep mice have the risk of IBD as shown in HPS-1 patients, we sequenced fecal 16S rDNA from age and gender paired adult wild-type (WT) and ep mice. Taxonomy-based analysis suggested that the relative abundance of Firmicutes decreased in ep mice (Figure 1D). Shannon diversity analysis revealed no significant differences between ep mice and WT controls, but a higher individual variation within the ep mice group was observed (Figure 1E). LEfSe revealed that Prevotellaceae in phylum Bacteroidetes was also the dominant type in ep mice (Figure 1F). Taken together, these results suggest that HPS1 deficiency affects the intestinal microbiota both in humans and mice, which may confer a risk for IBD development.

HPS1 Deficiency Leads to Altered LDCV Morphology in PCs

To determine whether HPS1 is involved in regulating the biological function of PCs, we first detected HPS1 expression in murine small intestine crypts containing PCs, transient amplifying cells and stem cells. Western blotting confirmed that HPS1 protein was expressed in WT crypts, and was absent in ep crypts (Figure 2A). Unfortunately, we did not test the intracellular localization of HPS1 because our HPS1 antibody did not work well for immunostaining.


Figure 2 Morphology of Paneth cell LDCVs in unchallenged control and ep mice. (A) Hps1 expression in mouse small intestine crypts. WT mice express Hps1 while HPS-1 mutant ep mice lack Hps1 protein. (B) Representative transmission electron microscopy image of Paneth cell LDCVs in chemical fixed WT and ep mice ileal tissue. LDCVs were marked by *. Bar = 2 μm. (C) Representative images of FITC-UEA1 labeled Paneth cells and Goblet cells, Paneth cell LDCVs are shown by white arrow, Goblet cell granules are shown by empty arrow. Bar = 20 μm. (D) Quantification of the average LDCV diameter of ep Paneth cells and WT. WT 2.08 ± 0.006 μm, ep 2.12 ± 0.007 μm, ***p < 0.001. Data are presented as the mean ± s.e.m. (E) Quantification of the average LDCV numbers per Paneth cell. WT 10.95 ± 0.26 granules/cell, ep 11.88 ± 0.36 granules/cell, *p < 0.05. Data are presented as the mean ± s.e.m. of average LDCV number per Paneth cell with the indicated genotypes. (F) Paneth cell types by LDCV number and morphology. Normal (N) cells contain more than 10 UEA-1 labeled LDCVs at the top of the Paneth cells. Disordered (Dis) cells contain normal number of LDCV but some LDCVs occur at the basal end. Diminished (Dim) cells contain less than 10 labeled LDCVs and among which some enlarged granules were observed. Diffused (Dif) cells are UEA-1 positive but contain no typical LDCV structure. Bar = 20 μm. (G) Quantification of the percentage of each Paneth cell type according to the Paneth cell phenotypes in (F), WT PCs 10% diffused, 4% disordered and 3% diminished; ep PCs 7% diffused, 4% disordered and 5% diminished. Data are presented as the average value of the percent of Paneth cells with the indicated phenotype out of the total number of Paneth cells counted for each mouse.

We then analyzed the phenotypes of LDCVs and PCs in ep mice to investigate the role of HPS1 in PCs. ep PC LDCVs displayed a typical dense core structure compared to WT PC LDCVs (Figure 2B). We visualized PC LDCVs with FITC-UEA-1 which specifically binds to glycoprotein or fucose residue of lipopolysaccharide on the granule membrane (Figure 2C). PC morphology analysis was performed as described (6) (Figure 2F). For both ep and control mice, PCs with normal morphology were predominant (an average of 84% in WT mice vs. 83% in ep mice). The proportion of abnormal PC subtypes in ep mice had no significant changes compared to the WT mice (Figure 2G). Furthermore, quantification of the immunofluorescence staining images showed that there was a significantly enlarged average diameter of LDCVs in ep mice compared to WT (Figure 2D) and a significantly increased number of LDCVs per PC in ep mutants (Figures 2E, S2). Thus, HPS1 deficiency is associated with an abnormal morphology in PC LDCVs.

No Apparent Changes of Lysozyme and Procryptdin Expression in ep PCs

To explore whether the abnormal LDCV morphology leads to altered expression of the contents in ep PCs, we carried out immunofluorescence staining of mouse small intestine slices. Lysozyme and procryptdins, major proteins of LDCVs which are main functional AMPs associated with mucosal anti-microbial activity and gastrointestinal innate immune response, were located within granule structures and were partially co-localized with Rhod-UEA1, which concentrates on the surface of mature LDCVs (28, 29), in both control heterozygotes (ep/+) and ep mice. Lysozyme and procryptdin colocalized with UEA1 at most LDCVs while a small amount of LDCVs were only positive for the antimicrobial peptides (white arrow) or only positive for UEA1 (empty arrow) (Figures 3G, H), but the distribution of each AMPs showed no difference between ep and heterozygotes (Figures 3I, J). We next tested whether the transcription and expression of the two proteins in ep PCs was changed. Lyz1, the gene encoding lysozyme, and Defa1, a representative gene of procryptdins, were quantified by real time RT-PCR. The expression levels of the two genes in the small intestine of ep mice were not significantly changed compared with WT (Figures 3A, B). Furthermore, no significant changes of lysozyme and procryptdins in the small intestine of ep mice were detected by Western blotting although the high variations were observed among samples (Figures 3C–F). These results suggest that HPS1 deficiency does not affect the transcription or expression of lysozyme and procryptdins.


Figure 3 Expression and subcellular localization of Paneth cell anti-microbial peptides. (A, B) qRT-PCR analysis of Lyz1 (A) and Defa1 (B) showed no difference in the expression of lysozyme or procryptdin between ep and WT ileum (Lyz1 0.98, p > 0.05, N.S.; Defa1 0.91, p > 0.05, N.S.). (C, D) Representative immunoblots of lysozyme and procryptdin in ep/+ and ep ileum. (E) Quantification of lysozyme protein level in ep ileum shows no significant change compared to ep/+ (n = 5, p > 0.05, N.S.). (F) Quantification of procryptdin protein level in ep ileum shows no significant change compared to ep/+ (n = 5, p > 0.05). (G, H) Representative immunofluorescence images of ep/+ and ep ileum section stained with lysozyme and procryptdin. Paneth cell LDCVs were labeled by Rhod-UEA1 and nuclei were stained with DAPI. White arrows show granules lack of UEA1 signal, empty arrows show granules lack of lysozyme or procryptdin signal. Bar = 10 μm. (I, J) Percentage of each category described in (G, H), each category p >0.05, N.S. LDCVs from 20 PCs per mouse, 3 mice for each genotype were quantified.

Lysozyme Secretion Is Impaired in ep PCs

To investigate whether the abnormal LDCV morphology in ep mice has an effect on PC function, age and gender matched ep/+ and ep mice were orally treated with lipopolysaccharide (LPS), which is a main component of gram negative bacterium cell wall and a TLR2/4/9 agonist triggering PC degranulation and secretion of AMPs (30). Hematoxylin-eosin (HE) staining analysis of small intestine sections harvested after 1.5 h revealed PC degranulation in control ep/+ mice while the ep PCs with mature morphology had no obvious degranulation (Figure 4A). We classified intestinal crypts according to the morphology and distribution of LDCVs in PCs (31, 32). Type I and type II crypts contain empty PCs or secreted LDCVs in crypts lumen, type III crypts contain non-degranulated PCs with abnormal vacuolar structures (Figure 4B). Statistical analysis showed that after 1.5 h of LPS treatment, the proportion of type I and type II crypts in ep/+ small intestine sections was significantly increased compared to equally treated ep mice and untreated ep/+ mice (ctrl), while the proportion of type III crypts that were not supposed to be affected by LPS treatment showed no significant differences between the two genotypes (Figures 4C, D). We observed that PCs with type I and II crypts in treated ep/+ mice had fewer lysozyme positive granules and UEA1 labeled LDCVs, but the number of procryptdin positive granules between the two genotypes showed no significant difference (Figures 4E–G).


Figure 4 Paneth cells degranulation after LPS treatment. (A) HE staining of small intestine sections from untreated and LPS treated ep/+ and ep mice, mature Paneth cells featuring LDCVs labeled by eosin, white arrow heads show granules in lumen and light eosin staining Paneth cells undergo degranulation. (B) Small intestine crypts typed by Paneth cell morphology: type I crypt featuring granules in lumen (white arrow), type II crypt featuring mature Paneth cells with LDCVs and no significant degranulation in lumen (white *), type III crypt featuring Paneth cells with eosin negative vesicles and no significant degranulation in lumen (black *). (C, D) Quantification of crypt in (A) as described in (B) between control and LPS treated ep/+ and ep mice. *p < 0.05. Small intestine sections from 5 mice of each genotype per group were quantified. (E, F) Paneth cell LDCVs were visualized by eosin and Rhod-UEA1 (red) while AMPs were labeled by immunofluorescence (green). Black arrows indicate LDCVs that were secreted into crypt lumen. (G) Statistic analysis of procryptdin+ LDCV and lysozyme+ LDCV numbers in treated ep/+ and ep Paneth cells. Procryptdin+ LDCV numbers in treated ep/+ (7.13 ± 0.49 granules/cell, 5 mice, n = 150) and ep (7.85 ± 0.78 granules/cell, 5 mice, n = 135) Paneth cells showed no difference (p > 0.05, N.S.) while ep Paneth cells contain more lysozyme+ LDCVs (7.55 ± 0.51granules/cell, 5 mice, cell number = 120) than ep (9.24 ± 0.73 granules/cell, 5 mice, cell number = 108, *p < 0.05).

Lysozyme secretion after LPS treatment was analyzed with isolated small intestinal crypts in vitro. We treated isolated crypts with LPS and followed lysozyme secretion into the supernatants. The results showed that lysozyme in supernatant fraction from isolated WT crypts was significantly increased 5 min after LPS treatment and reached a peak at 10 min, while un-secreted lysozyme in lysate fraction remained unchanged (Figures 5A, B). In control ep/+ mice, supernatant lysozyme had similar changes to WT, while intracellular lysozyme content increased slightly at 10 min of LPS treatment compared to the mock treatment but decreased at 15 min (Figure 5C). However, lysozyme in either supernatant or lysate fractions from ep crypts did not show such changes after LPS treatment compared to mock treatment (Figure 5D). Taken together, HPS1 deficient PCs were unable to release lysozyme in response to LPS stimulation, and heterozygous ep/+ mice showed a slight defect in lysozyme secretion possibly due to dose effects of HPS1 protein.


Figure 5 Lysozyme secretion defects in ep mice crypts. (A) Representative immunoblots for lysozyme in supernatant (Sup) and lysate (Lys) from isolated crypts stimulated with 2 μg/ml LPS for 5, 10, 15 min. (B) Lysozyme in WT supernatant increased after 5 min stimulation (2.61 ± 0.22, 4 mice, *p < 0.05) and remained till 10 min (2.36 ± 0.53, 4 mice, *p < 0.05) while lysozyme in WT crypts lysate remained unchanged (p > 0.05, N.S.). (C) Lysozyme secretion of ep/+ crypts showed a delayed (5 min, p > 0.05, N.S.) and mild (10 min 1.41 ± 0.03, *p < 0.05, 15 min 1.28 ± 0.12, *p < 0.05, 4 mice) increase after LPS stimuli, while lysozyme in ep/+ crypts lysate showed an increase after 10 min stimulation (1.44 ± 0.08, *p < 0.05) and recovered at 15 min (0.56 ± 0.31, p > 0.05, N.S.). (D) Lysozyme in ep crypts supernatant remain unchanged after LPS stimuli (5 min 1.09 ± 0.15, p > 0.05, 10 min 1.34 ± 0.91, p > 0.05, 15 min 1.14 ± 0.35, p > 0.05, N.S.), and lysozyme in ep crypts lysate remain unchanged after LPS stimuli (5 min 1.03 ± 0.27, p > 0.05, 10 min 0.99 ± 0.20, p > 0.05, 15 min 1.21 ± 0.66, p > 0.05, N.S.). Four mice per group were quantified. Quantification of lysozyme in (B–D) is normalized by loading control β-actin.

HPS1 Deficiency Affects the Subcellular Localization of VAMP7

To further study the underlying mechanism of impaired lysozyme secretion in ep PC LDCVs, inferred from the function of HPS1 in melanosomes (19), we reasoned that HPS1 may participate in the recycling of v-SNARE proteins from PC LDCVs, which may be important for the maturation of LDCVs and concomitantly the release of LDCV cargo. HPS1 has been implicated in the recycling of VAMP7 from melanosomes to REs through the activation of Rab38/Rab32 (19). To address whether this pathway functions in PC LDCVs, we measured the total protein level and subcellular location of VAMP7 in ileum. Western blotting was performed to determine the expression of Rab38, Rab32, VAMP7, and other SNARE or regulatory proteins in small intestine tissue (Figures S3 A–C). The protein levels of VAMP7, Rab38, and Rab32 (Figure S3 D–F) together with VAMP4, VAMP8, synaptotagmin, and snapin (Figures S3G, H) were not affected by either the loss of HPS1 or upon LPS stimuli.

To explore whether the subcellular distribution of these proteins is altered, lysates of small intestinal crypts from ep mice and littermate ep/+ controls were fractionated by gradient centrifugation (Figure 6A). Judging by the organelle markers, Golgi (GM130) and TGN (TGN38) were enriched in fraction 2, lysosomes (LAMP1) in fractions 9–11, endosomal structures (33) in fraction 11, and LDCVs (Lyz) in fraction 12. Among these proteins, VAMP7 in ep/+ crypts concentrated at the high density fractions labeled by LDCV cargo lysozyme (the 11th fraction 18%) and endosomal component TfR (the 12th fraction, 16%) and at the low density fractions enriched with Golgi and TGN (the 2nd fraction, 17%). However, in ep crypts, VAMP7 partially shifted from the 11th fraction (5%) to the 2nd fraction (28%) (Figure 6D). This distributional shift suggests that in the absence of HPS1, VAMP7 failed to be removed from LDCVs and mostly remained in the Golgi and TGN (Figure 7). We also observed a slight shift of Rab38 to the middle density fractions (the 3rd to 5th fractions) in ep crypts (Figure 6B), and Rab32 had similar distributional shift in ep crypts (Figure 6C). These results suggest that deficiency in HPS1 GEF activity alters the membrane association of Rab32/38 which may affect the removal of VAMP7 from LDCVs, and that loss of HPS1 does not affect the cargo sorting-in process but rather compromises the pathway for cargo sorting-out, thus impairing the maturation of LDCVs.


Figure 6 Protein level and subcellular content analysis of v-SNARE and Rab proteins in mice crypts. (A) Representative image of 5~50% Optiprep gradient of ep/+ and ep mice small intestine crypts. VAMP7 mainly appears at the 11th and 12th fractions labeled by lysozyme and endosomal component TfR and a second peak appears at the first two fractions labeled by GM130 and TGN38, while it increases in the 4th fraction in ep crypts. Rab38 mainly appears at the first two fractions of both genotypes while its concentration increases in the middle fragments in ep crypts. Rab32 has similar distributional pattern as Rab38 but more widely distributed in 3rd~6th fractions, but less in the 11th fraction labeled by TfR in ep crypts. (B) Statistical analysis of Rab38 distribution in (A). In ep crypt, the increase of Rab38 in the middle density fragments is significant (the 3rd~5th fractions, ep/+ crypts 9%, ep crypts 16%, *p < 0.05). (C) Statistical analysis of Rab32 distribution in (D). Rab32 in ep crypts significantly decreases at the low density fragment (the 1st fraction: ep/+ crypts 25%, ep crypts 16%, *p < 0.05) and at the 9th fraction (ctrl 4%, ep 2%, *p < 0.05). (D) Statistical analysis of VAMP7 distribution in (A). VAMP7 in ep crypts significantly increases in TGN38 and GM130 enriched fraction (the 2nd fraction, ctrl crypts 17%, ep crypts 28%, *p < 0.05) and the 4th fraction (ep/+ crypts 2%, ep crypts 6%, **p < 0.01), and decreases in the RE enriched 11th fraction (ep/+ crypts 18%, ep crypts 5%, *p < 0.05). 4 mice of each genotype were analyzed, values are means ± s.e.m. of three replicates of immunoblotting data.


Figure 7 Altered subcellular location of VAMP7 in ep Paneth cells. (A) Representative immunofluorescence images of ep/+ (Ctrl) and ep ileum section stained with anti-VAMP7 (green) and anti-GM130 (purple). UEA1 (red) indicates LDCVs. The arrow heads indicate the co-localization of VAMP7 and GM130, the open triangles indicate the co-localization of VAMP7 and UEA-1 and the white arrows indicate the co-localization of all those three makers. (B) Boxed areas are shown at higher magnification. Bar = 5 μm.


In this study, we reported the abnormal morphology (increased number and enlarged size) in HPS1 deficient LDCVs, a type of LROs in Paneth cells. This alteration may impair the secretion of lysozyme, a key anti-microbial peptide associated with mucosal anti-microbial activity and gastrointestinal innate immune response. The abnormal secretion of lysozyme thereafter leads to the changes in the composition of intestinal microbiota, which may confer a risk for IBD development. Mechanistically, HPS1 is likely associated with the recycling of VAMP7 from LDCVs to promote the maturation of LDCVs. The immature LDCVs are defective in lysozyme secretion. This mechanism is conserved in melanosome maturation (19). Exploring the role of HPS1 in the biogenesis of LDCVs in Paneth cells provides new insights into the susceptibility of HPS-associated IBD and the role of HPS1 in innate immunity.

HPS1 functions as a GEF of Rab32/38 that mediates the conversion of Rab32/38 between the inactive GDP binding form and the active GTP binding form (20). In the melanocyte cell line MNT-1, Rab38 locates at melanosomes and indirectly interacts with VAMP7 via VARP (34). In this study we reported that in normal Paneth cells, Rab38, Rab32, and VAMP7 partially co-localized at LDCVs. VAMP7 is likely to be routed back to RE after recycling from LDCVs. In HPS1-deficient Paneth cells, VAMP7 shifted from LDCVs and endosome-associated fractions to the Golgi fractions, suggesting that the HPS1-Rab32/38-VAMP7 axis is likely to be a general mechanism in the biogenesis of LROs. This raises the possibility that LDCVs and REs interact for VAMP7 recycling by the action of HPS1. However, the machinery of how Rab32/38 mediates VAMP7 recycling awaits further investigation.

The NOD2-LRRK2-Rab2a pathway is an important molecular switch in the maturation of PC LDCVs that specifically regulates the sorting of lysozyme (17). LRRK2 protein contains a leucine rich repeat domain, an armadillo repeat, a kinase domain, an anchor protein domain, a RAS (GTPase) domain and a WD40 repeat (35). LRRK2 is also associated with Parkinson’s disease (36) and is involved in vesicle transport, autophagy, cytoskeleton formation and mitochondrial function (37). The transportation and kinase activity of cytoplasmic LRRK2 are regulated by Rab32/38. LRRK2 binds to Rab32/38 in a GTP-dependent way via the armadillo repeat domain, and the complex is mainly colocalized at the endosomes and trafficking vesicles (38). Overexpression of constitutively activated mutant Rab32 led to increased LRRK2 localization to late endosomes and multi-vesicular bodies (39). We observed a slight shift of Rab2a in our gradient fractionation assay (data not shown). Whether HPS1 is the GEF of Rab2a, or regulates the NOD2-LRRK2-Rab2a pathway via its interaction with Rab32/38 needs to be investigated.

Case reports have shown that among eleven HPS subtypes the frequency of HPS-1 is much higher than the others (18), and about 10% of the reported HPS-1 cases had colitis or CD-like IBD (3). Development of HPS1-IBD, although it is at low frequency, may depend on complex genetic and environmental factors. There were no indications to perform endoscopy for our HPS-1 patients due to their young ages and no IBD symptoms. CD-like IBD have also been reported in some cases with HPS-4 or HPS-6 (3, 4). HPS1 and HPS4 form a tight BLOC-3 complex which functions as a GEF for Rab32/38 (20). BLOC-3 and Rab32/38 are involved in cargo removal (e.g. VAMP7) during LRO maturation (19). HPS6, HPS5, and HPS3 form the BLOC-2 complex which is known to be involved in cargo sorting during LRO biogenesis. BLOC-1 and AP-3 cooperate in this cargo sorting pathway (1, 40). During LRO biogenesis, the HOPS complex plays an important role in autophagy which is required for LRO maturation probably by degradation of excessive membrane or proteins (41). Thus, deficiency in any of these HPACs may have defects in LRO biogenesis, which thereafter impairs LRO secretion. Regarding this general mechanism of LRO dysfunction in HPS patients, it is plausible to have multi-organelle defects of tissue-specific LROs such as melanosomes in melanocytes and LDCVs in PCs. However, symptoms or severity of HPS-associated IBD may vary in different HPS subtypes or in different susceptibility conditions of HPS patients.

The secretion of lysozyme and the release of LDCV are essential for the maintenance of enteral homeostasis. We here report the altered fecal microbiota composition in HPS1-deficient ep mice similar to the CD mouse models (42) and CD patients (43), reflecting a vulnerable enteral homeostasis. The interaction of genetics and the environment contributes to CD pathogenesis. Because the mutant ep mice were bred under specific pathogen-free facilities, ep did not have typical symptoms of IBD. HPS-1 patients in this study also had no CD symptoms at their young ages, but the fecal microbiota dominant phenotype Prevotellaceae including Prevotella predisposes a higher risk of diarrhea-predominant irritable bowel syndrome (26). However, whether fecal microbiota transplantation can alleviate the development or symptoms of HPS-associated IBD requires further investigation.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the internal review board of the bioethics committees of Beijing Tongren Hospital, Capital Medical University. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin. The animal study was reviewed and approved by Institutional Animal Care and Use Committee of Institute of Genetics and Developmental Biology, Chinese Academy of Sciences.

Author Contributions

WL, ZL, and JY designed the research and wrote the manuscript. WL and ZL supervised the study. XH and CH analyzed the data and provided funding support. JY led the experimental investigation. QZ, YP, ZH, LY, YY, ZZ, and CZ performed some assays and analyzed the data. AW and TL diagnosed and collected the HPS patient samples. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


We are very thankful to Dr. Richard T. Swank who provided the mutant mice in this study. We thank Dr. Aili Zhang and Mr. Huipeng Wang for their technical supports in this study. This work was supported by grants from the Ministry of Science and Technology of China [2019YFA0802104 (to WL)], from National Natural Science Foundation of China [91954104 (to CH); 91542118 (to XH); 31830054 (to WL); 91539204 (to WL); 31730028 (to ZL)], and from Beijing Natural Science Foundation [5164032 (to ZH)].

Supplementary Material

The Supplementary Material for this article can be found online at:


AMP, anti-microbial peptide; BLOC, biogenesis of lysosome-related organelles complex; CD, Crohn’s disease; ep, pale ear mutant mouse; GEF, GDP/GTP exchange factor; HE, Hemotoxylin-Eosin staining; HPS, Hermansky-Pudlak syndrome; HPS1, Hermansky-Pudlak syndrome protein 1; IBD, inflammatory bowel disease; LDCV, large dense core vesicle; LPS, lipopolysaccharide; LRO, lysosome-related organelle; PC, Paneth cell; RE, recycling endosome; VAMP, vesicle-associated membrane protein; WT, wild-type.


1. Wei AH, Li W. Hermansky-pudlak syndrome: Pigmentary and non-pigmentary defects and their pathogenesis. Pigment Cell Melanoma Res (2013) 26:176–92. doi: 10.1111/pcmr.12051

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Echenique I, Garcia Gonzralez JM, Echenique IA, Izquierdo NJ, Mella JR, Barasorda E, et al. Hermansky pudlak syndrome: An unusual form of procto-colitis. Bol Asoc Med P R (2008) 100:76–9.

PubMed Abstract | Google Scholar

3. Hussain N, Quezado M, Huizing M, Geho D, White JG, Gahl W, et al. Intestinal disease in hermansky-pudlak syndrome: Occurrence of colitis and relation to genotype. Clin Gastroenterol Hepatol (2006) 4:73–80. doi: 10.1053/S1542-3565(05)00858-X

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Mora AJ, Wolfsohn DM. The management of gastrointestinal disease in hermansky-pudlak syndrome. J Clin Gastroenterol (2011) 45:700–2. doi: 10.1097/MCG.0b013e3181fd2742

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Cua DJ, Kastelein RA. Tgf-beta, a ‘double agent’ in the immune pathology war. Nat Immunol (2006) 7:557–9. doi: 10.1038/ni0606-557

PubMed Abstract | CrossRef Full Text | Google Scholar

6. VanDussen KL, Liu TC, Li D, Towfic F, Modiano N, Winter R, et al. Genetic variants synthesize to produce paneth cell phenotypes that define subtypes of crohn’s disease. Gastroenterology (2014) 146:200–9. doi: 10.1053/j.gastro.2013.09.048

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Santaolalla R, Abreu MT. Innate immunity in the small intestine. Curr Opin Gastroenterol (2012) 28:124–9. doi: 10.1097/MOG.0b013e3283506559

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ridaura VK, Faith JJ, Rey FE, Cheng J, Duncan AE, Kau AL, et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science (2013) 341:1241214. doi: 10.1126/science.1241214

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Clevers HC, Bevins CL. Paneth cells: Maestros of the small intestinal crypts. Annu Rev Physiol (2013) 75:289–311. doi: 10.1146/annurev-physiol-030212-183744

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Delevoye C, Marks MS, Raposo G. Lysosome-related organelles as functional adaptations of the endolysosomal system. Curr Opin Cell Biol (2019) 59:147–58. doi: 10.1016/

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hao Z, Wei L, Feng Y, Chen X, Du W, Ma J, et al. Impaired maturation of large dense-core vesicles in muted-deficient adrenal chromaffin cells. J Cell Sci (2015) 128:1365–74. doi: 10.1242/jcs.161414

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Chen XW, Feng YQ, Hao CJ, Guo XL, He X, Zhou ZY, et al. Dtnbp1, a schizophrenia susceptibility gene, affects kinetics of transmitter release. J Cell Biol (2008) 181:791–801. doi: 10.1083/jcb.200711021

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Sousa AA, Azari AA, Zhang G, Leapman RD. Dual-axis electron tomography of biological specimens: Extending the limits of specimen thickness with bright-field stem imaging. J Struct Biol (2011) 174:107–14. doi: 10.1016/j.jsb.2010.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

14. van de Bospoort R, Farina M, Schmitz SK, de Jong A, de Wit H, Verhage M, et al. Munc13 controls the location and efficiency of dense-core vesicle release in neurons. J Cell Biol (2012) 199:883–91. doi: 10.1083/jcb.201208024

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kim T, Tao-Cheng JH, Eiden LE, Loh YP. Chromogranin a, an “on/off” switch controlling dense-core secretory granule biogenesis. Cell (2001) 106:499–509. doi: 10.1016/s0092-8674(01)00459-7

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Sossin WS, Fisher JM, Scheller RH. Sorting within the regulated secretory pathway occurs in the trans-golgi network. J Cell Biol (1990) 110:1–12. doi: 10.1083/jcb.110.1.1

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Zhang Q, Pan Y, Yan R, Zeng B, Wang H, Zhang X, et al. Commensal bacteria direct selective cargo sorting to promote symbiosis. Nat Immunol (2015) 16:918–26. doi: 10.1038/ni.3233

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Wei A, Yuan Y, Qi Z, Liu T, Bai D, Zhang Y, et al. Instability of bloc-2 and bloc-3 in chinese patients with hermansky-pudlak syndrome. Pigment Cell Melanoma Res (2018) 32(3):373–80. doi: 10.1111/pcmr.12748

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Dennis MK, Delevoye C, Acosta-Ruiz A, Hurbain I, Romao M, Hesketh GG, et al. Bloc-1 and bloc-3 regulate vamp7 cycling to and from melanosomes via distinct tubular transport carriers. J Cell Biol (2016) 214:293–308. doi: 10.1083/jcb.201605090

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Gerondopoulos A, Langemeyer L, Liang JR, Linford A, Barr FA. Bloc-3 mutated in hermansky-pudlak syndrome is a rab32/38 guanine nucleotide exchange factor. Curr Biol (2012) 22:2135–9. doi: 10.1016/j.cub.2012.09.020

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Ripoll L, Heiligenstein X, Hurbain I, Raposo G, Delevoye C, Petersen KJ, et al. Myosin vi and branched actin filaments mediate membrane constriction and fission of melanosomal tubule carriers. J Cell Biol (2018) 217:2709–26. doi: 10.1083/jcb.201709055

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wei A, Yuan Y, Bai D, Ma J, Hao Z, Zhang Y, et al. Ngs-based 100-gene panel of hypopigmentation identifies mutations in chinese hermansky-pudlak syndrome patients. Pigment Cell Melanoma Res (2016) 29:702–06. doi: 10.1111/pcmr.12534

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Torbjørn R, Tomáš F, Ben N, Christopher Q, Frédéric M. Vsearch: A versatile open source tool for metagenomics. PeerJ (2016) 4:4:e2584. doi: 10.7717/peerj.2584

CrossRef Full Text | Google Scholar

24. Rivera OC, Hennigar SR, Kelleher SL. Znt2 is critical for lysosome acidification and biogenesis during mammary gland involution. Am J Physiol Regul Integr Comp Physiol (2018) 315:R323–35. doi: 10.1152/ajpregu.00444.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, et al. Diversity of the human intestinal microbial flora. Science (2005) 308:1635–38. doi: 10.1126/science.1110591

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Su T, Liu R, Lee A, Long Y, Du L, Lai S, et al. Altered intestinal microbiota with increased abundance of prevotella is associated with high risk of diarrhea-predominant irritable bowel syndrome. Gastroenterol Res Pract (2018) 2018:6961783. doi: 10.1155/2018/6961783

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Gardner JM, Wildenberg SC, Keiper NM, Novak EK, Rusiniak ME, Swank RT, et al. The mouse pale ear (ep) mutation is the homologue of human hermansky-pudlak syndrome. Proc Natl Acad Sci USA (1997) 94:9238–43. doi: 10.1073/pnas.94.17.9238

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Selsted ME, Miller SI, Henschen AH, Ouellette AJ. Enteric defensins: Antibiotic peptide components of intestinal host defense. J Cell Biol (1992) 118:929–36. doi: 2289569

PubMed Abstract | Google Scholar

29. Farin HF, Karthaus WR, Kujala P, Rakhshandehroo M, Schwank G, Vries RG, et al. Paneth cell extrusion and release of antimicrobial products is directly controlled by immune cell-derived ifn-gamma. J Exp Med (2014) 211:1393–405. doi: 10.1084/jem.20130753

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Rumio C, Sommariva M, Sfondrini L, Palazzo M, Morelli D, Vigano L, et al. Induction of paneth cell degranulation by orally administered toll-like receptor ligands. J Cell Physiol (2012) 227:1107–13. doi: 10.1002/jcp.22830

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Satoh Y, Ishikawa K, Oomori Y, Yamano M, Ono K. Effects of cholecystokinin and carbamylcholine on paneth cell secretion in mice: A comparison with pancreatic acinar cells. Anat Rec (1989) 225:124–32. doi: 10.1002/ar.1092250207

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Park SW, Kim M, Kim JY, Ham A, Brown KM, Mori-Akiyama Y, et al. Paneth cell-mediated multiorgan dysfunction after acute kidney injury. J Immunol (2012) 189:5421–33. doi: 10.4049/jimmunol.1200581

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Meisel M, Hinterleitner R, Pacis A, Chen L, Earley ZM, Mayassi T, et al. Microbial signals drive pre-leukaemic myeloproliferation in a tet2-deficient host. Nature (2018) 557(7706):580–4. doi: 10.1038/s41586-018-0125-z

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Burgo A, Sotirakis E, Simmler MC, Verraes A, Chamot C, Simpson JC, et al. Role of varp, a rab21 exchange factor and ti-vamp/vamp7 partner, in neurite growth. EMBO Rep (2009) 10:1117–24. doi: 10.1038/embor.2009.186

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Liu Z, Lee J, Krummey S, Lu W, Cai H, Lenardo MJ. The kinase lrrk2 is a regulator of the transcription factor nfat that modulates the severity of inflammatory bowel disease. Nat Immunol (2011) 12:1063–70. doi: 10.1038/ni.2113

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Diegelmann J, Czamara D, Le Bras E, Zimmermann E, Olszak T, Bedynek A, et al. Intestinal dmbt1 expression is modulated by crohn’s disease-associated il23r variants and by a dmbt1 variant which influences binding of the transcription factors creb1 and atf-2. PloS One (2013) 8:e77773. doi: 10.1371/journal.pone.0077773

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Rocha JD, Schlossmacher MG, Philpott DJ. Lrrk2 and nod2 promote lysozyme sorting in paneth cells. Nat Immunol (2015) 16:898–900. doi: 10.1038/ni.3255

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Emma M, Dieter W, Brian MB, Amir RK. Lrrk2 binds to the rab32 subfamily in a gtp-dependent manner via its armadillo domain. Small GTPases (2019) 25:1–14. doi: 10.1080/21541248.2019.1666623

CrossRef Full Text | Google Scholar

39. Waschbusch D, Hubel N, Ossendorf E, Lobbestael E, Baekelandt V, Lindsay AJ, et al. Rab32 interacts with snx6 and affects retromer-dependent golgi trafficking. PloS One (2019) 14:e0208889. doi: 10.1371/journal.pone.0208889

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Wei AH, He X, Li W. Hypopigmentation in hermansky-pudlak syndrome. J Dermatol (2013) 40:325–9. doi: 10.1111/1346-8138.12025

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Zhen Y, Li W. Impairment of autophagosome-lysosome fusion in the buff mutant mice with the vps33a(d251e) mutation. Autophagy (2015) 11:1608–22. doi: 10.1080/15548627.2015.1072669

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Cominelli F, Arseneau KO, Rodriguez-Palacios A, Pizarro TT. Uncovering pathogenic mechanisms of inflammatory bowel disease using mouse models of crohn’s disease–like ileitis: What is the right model? Cell Mol Gastroenterol Hepatol (2017) 4:19–32. doi: 10.1016/j.jcmgh.2017.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Salzman NH, Hung K, Haribhai D, Chu H, Karlsson-Sjoberg J, Amir E, et al. Enteric defensins are essential regulators of intestinal microbial ecology. Nat Immunol (2010) 11:76–83. doi: 10.1038/ni.1825

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Hermansky-Pudlak syndrome, HPS1, large dense core vesicle, Paneth cell, inflammatory bowel disease, VAMP7

Citation: Yu J, He X, Wei A, Liu T, Zhang Q, Pan Y, Hao Z, Yang L, Yuan Y, Zhang Z, Zhang C, Hao C, Liu Z and Li W (2020) HPS1 Regulates the Maturation of Large Dense Core Vesicles and Lysozyme Secretion in Paneth Cells. Front. Immunol. 11:560110. doi: 10.3389/fimmu.2020.560110

Received: 08 May 2020; Accepted: 12 October 2020;
Published: 05 November 2020.

Edited by:

Philippe Saas, INSERM U1098 Interactions Hôte-Greffon-Tumeur & Ingénierie Cellulaire et Génique, France

Reviewed by:

Thierry Galli, Institut National de la Santé et de la Recherche Médicale (INSERM), France
Cédric Delevoye, Institut Curie, France
Joep Grootjans, University of Amsterdam, Netherlands

Copyright © 2020 Yu, He, Wei, Liu, Zhang, Pan, Hao, Yang, Yuan, Zhang, Zhang, Hao, Liu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wei Li,; Zhihua Liu,