Junjun Liu

Junjun Liu

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Junjun Liu has a total of 73 co-authors. Here are the top co-authors by number of shared publications:

  • Wenyu Ding

    Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, China; Shandong Institute of Endocrine & Metabolic Diseases, 250062, China

    4 shared publications
  • Bao Wang

    Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, China; Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China; Chongqing Key Laboratory for Viral Infectious Diseases, Chongqing, 400038, China; Shandong Institute of Endocrine & Metabolic Diseases, 250062, China

    3 shared publications
  • Delong Zhen

    Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, China; Shandong Institute of Endocrine & Metabolic Diseases, 250062, China

    3 shared publications
  • Lina Ding

    Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, China; Shandong Institute of Endocrine & Metabolic Diseases, 250062, China

    3 shared publications
  • Bernard Portha

    Laboratoire B2PE (Biologie et Pathologie du Pancréas Endocrine), Unité BFA (Biologie Fonctionnelle et Adaptive), CNRS UMR 8251, Université Paris-Cité, Paris, France

    2 shared publications
  • Bernard Portha

    Laboratoire B2PE, Unité BFA, Université Paris-Diderot et CNRS EAC4413

    2 shared publications

Latest Publications

  • ExoJ – a Fiji/ImageJ2 plugin for automated spatiotemporal detection and analysis of exocytosis

    by Junjun Liu, Frederik Johannes Verweij, Guillaume van Niel, Thierry Galli, Lydia Danglot, Philippe Bun

    Exocytosis is a dynamic physiological process that enables the release of biomolecules to the surrounding environment via the fusion of membrane compartments to the plasma membrane. Understanding its mechanisms is crucial, as defects can compromise essential biological functions. The development of pH-sensitive optical reporters alongside fluorescence microscopy enables the assessment of individual vesicle exocytosis events at the cellular level. Manual annotation represents, however, a time-consuming task that is prone to selection biases and human operational errors. Here, we introduce ExoJ, an automated plugin based on Fiji/ImageJ2 software. ExoJ identifies user-defined genuine populations of exocytosis events, recording quantitative features including intensity, apparent size and duration. We designed ExoJ to be fully user-configurable, making it suitable for studying distinct forms of vesicle exocytosis regardless of the imaging quality. Our plugin demonstrates its capabilities by showcasing distinct exocytic dynamics among tetraspanins and vesicular SNARE protein reporters. Assessment of performance on synthetic data shows that ExoJ is a robust tool that is capable of correctly identifying exocytosis events independently of signal-to-noise ratio conditions. We propose ExoJ as a standard solution for future comparative and quantitative studies of exocytosis.


  • Open Access

    High lymphocyte signature genes expression in parathyroid endocrine cells and its downregulation linked to tumorigenesis

    by Chong Geng, Junjun Liu, Bingzhou Guo, Kailin Liu, Pengfei Gong, Bao Wang, Qiang Wan, Liang Sun, Jiajun Zhao, Yongfeng Song


  • Open Access

    Oral administration of kynurenic acid delays the onset of type 2 diabetes in Goto-Kakizaki rats

    by Delong Zhen, Lina Ding, Bao Wang, Xiaolei Wang, Yanli Hou, Wenyu Ding, Bernard Portha, Junjun Liu


  • Open Access

    ExoJ: an ImageJ2/Fiji plugin for automated spatiotemporal detection and analysis of exocytosis

    by Junjun Liu, Frederik Johannes Verweij, Guillaume Van Niel, Thierry Galli, Lydia Danglot, Philippe Bun

    Exocytosis is a dynamic physiological process that enables the release of biomolecules to the surrounding environment via the fusion of membrane compartments to the plasma membrane. Understanding its mechanisms is crucial, as defects can compromise essential biological functions. The development of pH-sensitive optical reporters alongside fluorescence microscopy enables the assessment of individual vesicle exocytosis events at the cellular level. Manual annotation represents, however, a time-consuming task, prone to selection biases and human operational errors. Here, we introduce ExoJ, an automated plugin based on ImageJ2/Fiji. ExoJ identifies user-defined genuine populations of exocytic events, recording quantitative features including intensity, apparent size and duration. We designed ExoJ to be fully user-configurable, making it suitable to study distinct forms of vesicle exocytosis regardless of the imaging quality. Our plugin demonstrates its capabilities by showcasing distinct exocytic dynamics among tetraspanins and vesicular SNAREs protein reporters. Assessment of performance on synthetic data demonstrated ExoJ is a robust tool, capable to correctly identify exocytosis events independently of signal-to-noise ratio conditions. We propose ExoJ as a standard solution for future comparative and quantitative studies of exocytosis.


  • Kynurenine-3-monooxygenase expression is activated in the pancreatic endocrine cells by diabetes and its blockade improves glucose-stimulated insulin secretion

    by Junjun Liu, Danielle Bailbé, Sophie Raynal, Christel Carbonne, Delong Zhen, Julien Dairou, Blandine Gausseres, Mathieu Armanet, Thomas Domet, Caterina L. Pitasi, et al.


  • Open Access

    Adipose-derived stem cells alleviate liver injury induced by type 1 diabetes mellitus by inhibiting mitochondrial stress and attenuating inflammation

    by Yanli Hou, Wenyu Ding, Peishan Wu, Changqing Liu, Lina Ding, Junjun Liu, Xiaolei Wang

    Background: Type 1 diabetes mellitus (T1D) is a worldwide health priority due to autoimmune destruction and is associated with an increased risk of multiorgan complications. Among these complications, effective interventions for liver injury, which can progress to liver fibrosis and hepatocellular carcinoma, are lacking. Although stem cell injection has a therapeutic effect on T1D, whether it can cure liver injury and the underlying mechanisms need further investigation. Methods: Sprague–Dawley rats with streptozotocin (STZ)-induced T1D were treated with adipose-derived stem cell (ADSC) or PBS via the tail vein formed the ADSC group or STZ group. Body weights and blood glucose levels were examined weekly for 6 weeks. RNA-seq and PCR array were used to detect the difference in gene expression of the livers between groups. Results: In this study, we found that ADSCs injection alleviated hepatic oxidative stress and injury and improved liver function in rats with T1D; potential mechanisms included cytokine activity, energy metabolism and immune regulation were potentially involved, as determined by RNA-seq. Moreover, ADSC treatment altered the fibroblast growth factor 21 (FGF21) and transforming growth factor β (TGF-β) levels in T1D rat livers, implying its repair capacity. Disordered intracellular energy metabolism, which is closely related to mitochondrial stress and dysfunction, was inhibited by ADSC treatment. PCR array and ingenuity pathway analyses suggested that the ADSC-induced suppression of mitochondrial stress is related to decreased necroptosis and apoptosis. Moreover, mitochondria-related alterations caused liver inflammation, resulting in liver injury involving the T lymphocyte-mediated immune response. Conclusions: Overall, these results improve our understanding of the curative effect of ADSCs on T1D complications: ADSCs attenuate liver injury by inhibiting mitochondrial stress (apoptosis and dysfunctional energy metabolism) and alleviating inflammation (inflammasome expression and immune disorder). These results are important for early intervention in liver injury and for delaying the development of liver lesions in patients with T1D.


  • Open Access

    Paternal High-Protein Diet Programs Offspring Insulin Sensitivity in a Sex-Specific Manner

    by Pengfei Gong, Danielle Bailbé, Lola Bianchi, Gaëlle Pommier, Junjun Liu, Stefania Tolu, Maria G. Stathopoulou, Bernard Portha, Valérie Grandjean, Jamileh Movassat

    The impact of maternal nutrition on offspring is well documented. However, the implication of pre-conceptional paternal nutrition on the metabolic health of the progeny remains underexplored. Here, we investigated the impact of paternal high-protein diet (HPD, 43.2% protein) consumption on the endocrine pancreas and the metabolic phenotype of offspring. Male Wistar rats were given HPD or standard diet (SD, 18.9% protein) for two months. The progenies (F1) were studied at fetal stage and in adulthood. Body weight, glycemia, glucose tolerance (GT), glucose-induced insulin secretion in vivo (GIIS) and whole-body insulin sensitivity were assessed in male and female F1 offspring. Insulin sensitivity, GT and GIIS were similar between F1 females from HPD (HPD/F1) and SD fathers (SD/F1). Conversely, male HPD/F1 exhibited increased insulin sensitivity (p < 0.05) and decreased GIIS (p < 0.05) compared to male SD/F1. The improvement of insulin sensitivity in HPD/F1 was sustained even after 2 months of high-fat feeding. In male HPD/F1, the β cell mass was preserved and the β cell plasticity, following metabolic challenge, was enhanced compared to SD/F1. In conclusion, we provide the first evidence of a sex-specific impact of paternal HPD on the insulin sensitivity and GIIS of their descendants, demonstrating that changes in paternal nutrition alter the metabolic status of their progeny in adulthood.


  • Open Access

    Effect of Postnatal Nutritional Environment Due to Maternal Diabetes on Beta Cell Mass Programming and Glucose Intolerance Risk in Male and Female Offspring

    by Danièle Bailbe, Junjun Liu, Pengfei Gong, Bernard Portha

    Besides the fetal period, the suckling period is a critical time window in determining long-term metabolic health. We undertook the present study to elucidate the impact of a diabetic suckling environment alone or associated with an in utero diabetic environment on beta cell mass development and the risk of diabetes in the offspring in the long term. To that end, we have compared two experimental settings. In setting 1, we used Wistar (W) rat newborns resulting from W ovocytes (oW) transferred into diabetic GK rat mothers (pGK). These oW/pGK neonates were then suckled by diabetic GK foster mothers (oW/pGK/sGK model) and compared to oW/pW neonates suckled by normal W foster mothers (oW/pW/sW model). In setting 2, normal W rat newborns were suckled by diabetic GK rat foster mothers (nW/sGK model) or normal W foster mothers (nW/sW model). Our data revealed that the extent of metabolic disorders in term of glucose intolerance and beta cell mass are similar between rats which have been exposed to maternal diabetes both pre- and postnatally (oW/pGK/sGK model) and those which have been exposed only during postnatal life (nW/sW model). In other words, being nurtured by diabetic GK mothers from birth to weaning was sufficient to significantly alter the beta cell mass, glucose-induced insulin secretion and glucose homeostasis of offspring. No synergistic deleterious effects of pre-and postnatal exposure was observed in our setting.