this with annotations you find in gene/protein databases, but these can be outdated or inaccurate. Falcon Edison Scientific Literature 20 citations 2 artifacts 2026-05-29T18:07:09.484288

The research report should be a detailed narrative explaining the function, biological processes, and localization of the gene product. Citations should be given for all claims.

You should prioritize authoritative reviews and primary scientific literature when conducting research. You can supplement
this with annotations you find in gene/protein databases, but these can be outdated or inaccurate.

We are specifically interested in the primary function of the gene - for enzymes, what reaction is catalyzed, and what is the substrate specificity? For transporters, what is the substrate? For structural proteins or adapters, what is the broader structural role? For signaling molecules, what is the role in the pathway.

We are interested in where in or outside the cell the gene product carries out its function.

We are also interested in the signaling or biochemical pathways in which the gene functions. We are less interested in broad pleiotropic effects, except where these elucidate the precise role.

Include evidence where possible. We are interested in both experimental evidence as well as inference from structure, evolution, or bioinformatic analysis. Precise studies should be prioritized over high-throughput, where available.

Comprehensive research report: Human ENPP7 (UniProt Q6UWV6) — functional annotation

1) Gene/protein identity verification (to avoid symbol ambiguity)

The target is human ENPP7 (ectonucleotide pyrophosphatase/phosphodiesterase family member 7), also widely referred to as alkaline sphingomyelinase (Alk-SMase) or NPP7, and described as an ENPP-family ectoenzyme repurposed for phospholipid (not nucleotide) hydrolysis. This matches the UniProt description (Q6UWV6) and the ENPP-family structural/functional review describing ENPP7 as alkaline sphingomyelinase (borza2022structureandfunction pages 1-3, borza2022structureandfunction pages 7-8).

2) Key concepts and current understanding (definitions, catalytic function, localization)

2.1 Core biochemical definition

ENPP7 is best understood as an intestinal ecto-phosphodiesterase/phospholipase that cleaves choline-containing phospholipids, with its canonical physiological substrate being dietary sphingomyelin (SM). In current mechanistic summaries, ENPP7’s primary reaction is:

This places ENPP7 at the interface between dietary sphingolipid digestion and generation of bioactive lipids (ceramide) plus a choline-containing headgroup (phosphocholine). (imam2024structuralandfunctional pages 14-15, wang2024evolutionaryconservationanalysis pages 1-3)

2.2 Substrate specificity beyond sphingomyelin

Beyond sphingomyelin, ENPP7 is reported to function as a lyso-phospholipase C (lyso-PLC) and to hydrolyze:

A compiled functional summary additionally notes PLC activity toward palmitoyl lyso-phosphocholine and provides qualitative inhibitor information (ATP, imidazole, orthovanadate, Zn²⁺). (humanUnknownyeardatasheet(cat. pages 1-2)

2.3 Catalytic mechanism and structural determinants (how substrate recognition works)

A key current insight is that ENPP7’s active site is tuned to recognize the choline headgroup of substrates. In the ENPP-family structural review:

Figure evidence supporting these concepts (reaction scheme and substrate-recognition features) is captured from Borza et al. 2022. (borza2022structureandfunction media a48f87f3, borza2022structureandfunction media 1f839b96)

2.4 Localization and where ENPP7 acts

ENPP7 is primarily described as an intestinal enzyme:

A compiled localization summary further specifies intestinal epithelial subcellular placement:

3) Recent developments and latest research (prioritizing 2023–2024)

3.1 2023: ENPP7 as a circulating protein biomarker linked to diabetes progression

Slieker et al. (Nature Communications, 2023-05, https://doi.org/10.1038/s41467-023-38148-7) performed multi-omics biomarker discovery for glycaemic deterioration (time to insulin requirement) and report that:

This work is an example of a modern “functional biomarker” framework: while ENPP7 itself was not functionally manipulated in this study (the paper’s functional experiments focused on other proteins), ENPP7 was prioritized as a measurable plasma marker with additional support for assay specificity via cis-pQTL confirmation for a subset of top proteins including ENPP7. (slieker2023identificationofbiomarkers pages 2-4)

3.2 2024: Integration into choline metabolism and intestinal digestion context

A 2024 Metabolites review (Imam et al., 2024-11, https://doi.org/10.3390/metabo14120659) frames ENPP7 as:

3.3 2024: Sphingomyelin pathway context and quantitative background

A 2024 Heliyon paper (Wang et al., 2024-12, https://doi.org/10.1016/j.heliyon.2024.e40810) contextualizes ENPP7 within sphingomyelin metabolism and notes:

While this is not an ENPP7-specific kinetic dataset, it provides recent quantitative context for why ENPP7-mediated SM hydrolysis is physiologically meaningful.

3.4 2023–2024: Human genetic association signals (GWAS credible sets)

Open Targets disease–target evidence links ENPP7 to multiple phenotypes, including liver-related traits and intrahepatic cholestasis of pregnancy, based on GWAS credible-set evidence; the platform records literature PMIDs including 35977952, 36653562, 39024449, 40069456. (OpenTargets Search: -ENPP7)

These associations are hypothesis-generating (genetic association evidence) rather than direct biochemical mechanism demonstrations, but they motivate further functional investigation of ENPP7 in hepatobiliary physiology.

4) Current applications and real-world implementations

  1. Biomarker development for metabolic disease progression: The 2023 Nature Communications study demonstrates a real-world clinical-research implementation of measuring ENPP7 in plasma as part of large-scale proteomic panels to stratify risk for faster progression to insulin requirement in type 2 diabetes. (slieker2023identificationofbiomarkers pages 2-4, slieker2023identificationofbiomarkers pages 11-12)

  2. Mechanism-informed assay targets (structure → substrate specificity): The structural rationale for choline-headgroup recognition (cation–π box) is directly relevant for designing and interpreting enzymatic assays (e.g., pNPPC or choline-containing lysophospholipid substrates) and for future inhibitor discovery approaches, though validated ENPP7-directed therapies were not identified in the retrieved evidence set. (borza2022structureandfunction pages 7-8, borza2022structureandfunction media a48f87f3)

  3. Nutritional/lipid digestion context: ENPP7 is positioned as a digestive ectoenzyme generating ceramide and phosphocholine from dietary sphingomyelin, which can be integrated into broader sphingolipid signaling and choline metabolism. (imam2024structuralandfunctional pages 14-15, wang2024evolutionaryconservationanalysis pages 1-3)

5) Expert opinions and authoritative synthesis (interpretation)

6) Statistics and quantitative data from recent studies (what is available in retrieved evidence)

ENPP7-specific hazard ratios/odds ratios were not extractable from the retrieved text segments for Slieker et al. 2023; the available excerpts support cohort sizes and qualitative association direction but not ENPP7-specific effect estimates. (slieker2023identificationofbiomarkers pages 2-4, slieker2023identificationofbiomarkers pages 8-9)

Supporting summary table

Category Key details Key sources with year, DOI/URL
Identity/aliases Human ENPP7 encodes ectonucleotide pyrophosphatase/phosphodiesterase 7, also called alkaline sphingomyelinase (Alk-SMase) and NPP7. It is an ENPP family member with the conserved phosphodiesterase catalytic core; ENPP4–7 retain this PDE domain, and ENPP7 is a single-pass type I membrane protein adapted as a phospholipase rather than a nucleotide-hydrolyzing ENPP. UniProt target identity in the cited sources matches the requested human ENPP7/Q6UWV6 annotation. (borza2022structureandfunction pages 1-3, borza2022structureandfunction pages 7-8, imam2024structuralandfunctional pages 14-15) Borza et al., 2022, J Biol Chem, DOI: 10.1016/j.jbc.2021.101526, https://doi.org/10.1016/j.jbc.2021.101526; Imam et al., 2024, Metabolites, DOI: 10.3390/metabo14120659, https://doi.org/10.3390/metabo14120659
Enzymatic reactions & substrates Best-supported native activity is hydrolysis of sphingomyelin (SM). ENPP7 also shows lyso-phospholipase C (lyso-PLC) activity toward lysophosphatidylcholine (LPC/lyso-PC) and platelet-activating factor (PAF), and hydrolyzes the artificial substrate p-nitrophenylphosphorylcholine (pNPPC). The datasheet additionally notes phospholipase C activity toward palmitoyl lyso-phosphocholine. (borza2022structureandfunction pages 7-8, humanUnknownyeardatasheet(cat. pages 1-2) Borza et al., 2022, https://doi.org/10.1016/j.jbc.2021.101526; ENPP7 datasheet (compiled functional summary cited in evidence snippet) (humanUnknownyeardatasheet(cat. pages 1-2)
Products For sphingomyelin, ENPP7 generates ceramide + phosphocholine. This is consistently described in the ENPP review and recent reviews of alkaline phosphatase/sphingomyelin metabolism; phosphocholine is highlighted as a precursor that can feed extracellular choline metabolism. (imam2024structuralandfunctional pages 14-15, borza2022structureandfunction pages 7-8, wang2024evolutionaryconservationanalysis pages 1-3) Imam et al., 2024, https://doi.org/10.3390/metabo14120659; Borza et al., 2022, https://doi.org/10.1016/j.jbc.2021.101526; Wang et al., 2024, DOI: 10.1016/j.heliyon.2024.e40810, https://doi.org/10.1016/j.heliyon.2024.e40810
Mechanism/structural determinants ENPP7 uses the ENPP/alkaline phosphatase superfamily catalytic architecture with two Zn²⁺ ions in the active site. Structural work/reviewed models indicate a solvent-exposed catalytic site, absence of a nucleotide-binding slot, and a cation-π box formed by Tyr109, Tyr166, Tyr194 that stabilizes the positively charged choline headgroup of substrates; this explains preference for choline-containing phospholipids. A nearby hydrophobic loop (342–351) and surface cationic patches may support interaction with bile salt micelles. Structural reference noted as PDB 5TCD. (borza2022structureandfunction pages 7-8, borza2022structureandfunction pages 1-3, borza2022structureandfunction media a48f87f3) Borza et al., 2022, https://doi.org/10.1016/j.jbc.2021.101526
Localization/tissue ENPP7 is described as predominantly expressed in the intestinal tract/small intestine and functioning during digestion. The datasheet localizes it to the surface of the microvillar membrane (brush border) of small-intestinal enterocytes, and also to Golgi and endosome-like structures; it is reported in human bile as well. As a type I membrane ectoenzyme, it acts at the extracellular/luminal side of intestinal epithelial membranes. (imam2024structuralandfunctional pages 14-15, humanUnknownyeardatasheet(cat. pages 1-2, borza2022structureandfunction pages 1-3, slieker2023identificationofbiomarkers pages 8-9) Imam et al., 2024, https://doi.org/10.3390/metabo14120659; Slieker et al., 2023, Nat Commun, DOI: 10.1038/s41467-023-38148-7, https://doi.org/10.1038/s41467-023-38148-7; ENPP7 datasheet (humanUnknownyeardatasheet(cat. pages 1-2)
Pathways/physiology ENPP7 participates in dietary sphingomyelin digestion in intestinal mucosa, producing ceramide and phosphocholine. Recent review evidence further places ENPP7 in extracellular choline-associated lipid hydrolysis, with likely downstream dephosphorylation of phosphocholine by TNAP/alkaline phosphatase to support choline availability. Wang et al. note that sphingomyelin is abundant in membranes (~23% of total membrane lipids) and that intestinal sphingomyelin hydrolysis links dietary lipids to ceramide/sphingolipid signaling and metabolic effects. ENPP7 deficiency is linked in review text to defective sphingomyelin digestion. (imam2024structuralandfunctional pages 14-15, wang2024evolutionaryconservationanalysis pages 1-3) Imam et al., 2024, https://doi.org/10.3390/metabo14120659; Wang et al., 2024, https://doi.org/10.1016/j.heliyon.2024.e40810
Disease/biomarker links 2023-2024 In a 2023 multi-cohort diabetes biomarker study, plasma ENPP7 was among proteins associated with faster glycaemic deterioration / time to insulin requirement; ENPP7 was one of six top proteins with aptamer specificity supported by a cis-pQTL. Study scale: ~1,195 proteins measured in 1,188 individuals; discovery proteomics included DCS n=600 and GoDARTS n=600 (599 post-QC), with validation in ANDIS n=1,992 and ACCELERATE n=1,850; the paper also states ENPP7 is strongly expressed in the small intestine and involved in sphingomyelin hydrolysis/absorption of ceramide and phosphocholine. Open Targets/GWAS-credible-set evidence links ENPP7 to liver disease, intrahepatic cholestasis of pregnancy, cholestasis, intrahepatic, of pregnancy 3, hypocalcemia, and bipolar disorder, citing PMIDs including 35977952, 36653562, 39024449, 40069456. (slieker2023identificationofbiomarkers pages 2-4, slieker2023identificationofbiomarkers pages 8-9, slieker2023identificationofbiomarkers pages 10-11, OpenTargets Search: -ENPP7) Slieker et al., 2023, https://doi.org/10.1038/s41467-023-38148-7; Open Targets Platform query for ENPP7 (GWAS credible-set associations; PMIDs listed in evidence) (OpenTargets Search: -ENPP7)
Evidence/notes Additional functional notes from the datasheet: ENPP7 activity is reported to be inhibited dose-dependently by ATP, imidazole, orthovanadate, and zinc ions. The strongest evidence base in the supplied snippets supports intestinal digestive/luminal phospholipid metabolism, especially sphingomyelin cleavage, plus broader choline-containing lysophospholipid hydrolysis. Quantitative enzyme kinetics were not provided in the available snippets, so substrate scope is supported qualitatively rather than by Km/kcat values here. (humanUnknownyeardatasheet(cat. pages 1-2, borza2022structureandfunction pages 7-8) ENPP7 datasheet (humanUnknownyeardatasheet(cat. pages 1-2); Borza et al., 2022, https://doi.org/10.1016/j.jbc.2021.101526

Table: This table summarizes the supported functional annotation of human ENPP7/Q6UWV6, including catalytic activities, structural determinants, localization, physiology, and recent disease/biomarker links. It is restricted to claims backed by the provided evidence snippets and includes source URLs/DOIs for quick verification.

Key figure evidence from ENPP-family structural review

The Borza et al. review includes figures illustrating (i) the ENPP7 reaction (SM → ceramide + phosphocholine) and (ii) the structural substrate-recognition concept (cation–π box for choline headgroup). (borza2022structureandfunction media a48f87f3, borza2022structureandfunction media 1f839b96)

References (URLs and publication dates where available)

Scope note (evidence limitations)

Within the retrieved full texts/snippets, ENPP7’s enzymatic activities, substrate classes, and structural basis for choline-headgroup recognition are well supported, but enzyme kinetic constants (Km/kcat), quantitative intestinal activity levels, and direct intervention studies targeting ENPP7 in humans were not available in the current evidence set. (borza2022structureandfunction pages 7-8, imam2024structuralandfunctional pages 14-15, slieker2023identificationofbiomarkers pages 2-4)

References

  1. (borza2022structureandfunction pages 1-3): Razvan Borza, Fernando Salgado-Polo, Wouter H. Moolenaar, and Anastassis Perrakis. Structure and function of the ecto-nucleotide pyrophosphatase/phosphodiesterase (enpp) family: tidying up diversity. Feb 2022. URL: https://doi.org/10.1016/j.jbc.2021.101526, doi:10.1016/j.jbc.2021.101526. This article has 134 citations and is from a domain leading peer-reviewed journal.

  2. (borza2022structureandfunction pages 7-8): Razvan Borza, Fernando Salgado-Polo, Wouter H. Moolenaar, and Anastassis Perrakis. Structure and function of the ecto-nucleotide pyrophosphatase/phosphodiesterase (enpp) family: tidying up diversity. Feb 2022. URL: https://doi.org/10.1016/j.jbc.2021.101526, doi:10.1016/j.jbc.2021.101526. This article has 134 citations and is from a domain leading peer-reviewed journal.

  3. (imam2024structuralandfunctional pages 14-15): Iliass Imam, Gilles Rautureau, Sébastien Violot, Eva Drevet Mulard, David Magne, and Lionel Ballut. Structural and functional integration of tissue-nonspecific alkaline phosphatase within the alkaline phosphatase superfamily: evolutionary insights and functional implications. Metabolites, 14:659, Nov 2024. URL: https://doi.org/10.3390/metabo14120659, doi:10.3390/metabo14120659. This article has 10 citations.

  4. (wang2024evolutionaryconservationanalysis pages 1-3): Siyuan Wang, Huan Jiang, Moran Hu, Yingyun Gong, and Hongwen Zhou. Evolutionary conservation analysis of human sphingomyelin metabolism pathway genes. Dec 2024. URL: https://doi.org/10.1016/j.heliyon.2024.e40810, doi:10.1016/j.heliyon.2024.e40810. This article has 7 citations.

  5. (humanUnknownyeardatasheet(cat. pages 1-2): RH Human. Data sheet (cat. no. tmpy-01070). Unknown journal, Unknown year.

  6. (borza2022structureandfunction media a48f87f3): Razvan Borza, Fernando Salgado-Polo, Wouter H. Moolenaar, and Anastassis Perrakis. Structure and function of the ecto-nucleotide pyrophosphatase/phosphodiesterase (enpp) family: tidying up diversity. Feb 2022. URL: https://doi.org/10.1016/j.jbc.2021.101526, doi:10.1016/j.jbc.2021.101526. This article has 134 citations and is from a domain leading peer-reviewed journal.

  7. (borza2022structureandfunction media 1f839b96): Razvan Borza, Fernando Salgado-Polo, Wouter H. Moolenaar, and Anastassis Perrakis. Structure and function of the ecto-nucleotide pyrophosphatase/phosphodiesterase (enpp) family: tidying up diversity. Feb 2022. URL: https://doi.org/10.1016/j.jbc.2021.101526, doi:10.1016/j.jbc.2021.101526. This article has 134 citations and is from a domain leading peer-reviewed journal.

  8. (slieker2023identificationofbiomarkers pages 8-9): Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, Ashfaq Ali, Karina Banasik, Søren Brunak, Marko Barovic, Gerard A. Bouland, Frédéric Burdet, Mickaël Canouil, Iulian Dragan, Petra J. M. Elders, Celine Fernandez, Andreas Festa, Hugo Fitipaldi, Phillippe Froguel, Valborg Gudmundsdottir, Vilmundur Gudnason, Mathias J. Gerl, Amber A. van der Heijden, Lori L. Jennings, Michael K. Hansen, Min Kim, Isabelle Leclerc, Christian Klose, Dmitry Kuznetsov, Dina Mansour Aly, Florence Mehl, Diana Marek, Olle Melander, Anne Niknejad, Filip Ottosson, Imre Pavo, Kevin Duffin, Samreen K. Syed, Janice L. Shaw, Over Cabrera, Timothy J. Pullen, Kai Simons, Michele Solimena, Tommi Suvitaival, Asger Wretlind, Peter Rossing, Valeriya Lyssenko, Cristina Legido Quigley, Leif Groop, Bernard Thorens, Paul W. Franks, Gareth E. Lim, Jennifer Estall, Mark Ibberson, Joline W. J. Beulens, Leen M ’t Hart, Ewan R. Pearson, and Guy A. Rutter. Identification of biomarkers for glycaemic deterioration in type 2 diabetes. Nature Communications, May 2023. URL: https://doi.org/10.1038/s41467-023-38148-7, doi:10.1038/s41467-023-38148-7. This article has 46 citations and is from a highest quality peer-reviewed journal.

  9. (slieker2023identificationofbiomarkers pages 2-4): Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, Ashfaq Ali, Karina Banasik, Søren Brunak, Marko Barovic, Gerard A. Bouland, Frédéric Burdet, Mickaël Canouil, Iulian Dragan, Petra J. M. Elders, Celine Fernandez, Andreas Festa, Hugo Fitipaldi, Phillippe Froguel, Valborg Gudmundsdottir, Vilmundur Gudnason, Mathias J. Gerl, Amber A. van der Heijden, Lori L. Jennings, Michael K. Hansen, Min Kim, Isabelle Leclerc, Christian Klose, Dmitry Kuznetsov, Dina Mansour Aly, Florence Mehl, Diana Marek, Olle Melander, Anne Niknejad, Filip Ottosson, Imre Pavo, Kevin Duffin, Samreen K. Syed, Janice L. Shaw, Over Cabrera, Timothy J. Pullen, Kai Simons, Michele Solimena, Tommi Suvitaival, Asger Wretlind, Peter Rossing, Valeriya Lyssenko, Cristina Legido Quigley, Leif Groop, Bernard Thorens, Paul W. Franks, Gareth E. Lim, Jennifer Estall, Mark Ibberson, Joline W. J. Beulens, Leen M ’t Hart, Ewan R. Pearson, and Guy A. Rutter. Identification of biomarkers for glycaemic deterioration in type 2 diabetes. Nature Communications, May 2023. URL: https://doi.org/10.1038/s41467-023-38148-7, doi:10.1038/s41467-023-38148-7. This article has 46 citations and is from a highest quality peer-reviewed journal.

  10. (slieker2023identificationofbiomarkers pages 11-12): Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, Ashfaq Ali, Karina Banasik, Søren Brunak, Marko Barovic, Gerard A. Bouland, Frédéric Burdet, Mickaël Canouil, Iulian Dragan, Petra J. M. Elders, Celine Fernandez, Andreas Festa, Hugo Fitipaldi, Phillippe Froguel, Valborg Gudmundsdottir, Vilmundur Gudnason, Mathias J. Gerl, Amber A. van der Heijden, Lori L. Jennings, Michael K. Hansen, Min Kim, Isabelle Leclerc, Christian Klose, Dmitry Kuznetsov, Dina Mansour Aly, Florence Mehl, Diana Marek, Olle Melander, Anne Niknejad, Filip Ottosson, Imre Pavo, Kevin Duffin, Samreen K. Syed, Janice L. Shaw, Over Cabrera, Timothy J. Pullen, Kai Simons, Michele Solimena, Tommi Suvitaival, Asger Wretlind, Peter Rossing, Valeriya Lyssenko, Cristina Legido Quigley, Leif Groop, Bernard Thorens, Paul W. Franks, Gareth E. Lim, Jennifer Estall, Mark Ibberson, Joline W. J. Beulens, Leen M ’t Hart, Ewan R. Pearson, and Guy A. Rutter. Identification of biomarkers for glycaemic deterioration in type 2 diabetes. Nature Communications, May 2023. URL: https://doi.org/10.1038/s41467-023-38148-7, doi:10.1038/s41467-023-38148-7. This article has 46 citations and is from a highest quality peer-reviewed journal.

  11. (slieker2023identificationofbiomarkers pages 10-11): Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, Ashfaq Ali, Karina Banasik, Søren Brunak, Marko Barovic, Gerard A. Bouland, Frédéric Burdet, Mickaël Canouil, Iulian Dragan, Petra J. M. Elders, Celine Fernandez, Andreas Festa, Hugo Fitipaldi, Phillippe Froguel, Valborg Gudmundsdottir, Vilmundur Gudnason, Mathias J. Gerl, Amber A. van der Heijden, Lori L. Jennings, Michael K. Hansen, Min Kim, Isabelle Leclerc, Christian Klose, Dmitry Kuznetsov, Dina Mansour Aly, Florence Mehl, Diana Marek, Olle Melander, Anne Niknejad, Filip Ottosson, Imre Pavo, Kevin Duffin, Samreen K. Syed, Janice L. Shaw, Over Cabrera, Timothy J. Pullen, Kai Simons, Michele Solimena, Tommi Suvitaival, Asger Wretlind, Peter Rossing, Valeriya Lyssenko, Cristina Legido Quigley, Leif Groop, Bernard Thorens, Paul W. Franks, Gareth E. Lim, Jennifer Estall, Mark Ibberson, Joline W. J. Beulens, Leen M ’t Hart, Ewan R. Pearson, and Guy A. Rutter. Identification of biomarkers for glycaemic deterioration in type 2 diabetes. Nature Communications, May 2023. URL: https://doi.org/10.1038/s41467-023-38148-7, doi:10.1038/s41467-023-38148-7. This article has 46 citations and is from a highest quality peer-reviewed journal.

  12. (OpenTargets Search: -ENPP7): Open Targets Query (-ENPP7, 6 results). Buniello, A. et al. (2025). Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery. Nucleic Acids Research.

Artifacts

Citations

  1. borza2022structureandfunction pages 7-8
  2. imam2024structuralandfunctional pages 14-15
  3. slieker2023identificationofbiomarkers pages 8-9
  4. slieker2023identificationofbiomarkers pages 2-4
  5. slieker2023identificationofbiomarkers pages 11-12
  6. wang2024evolutionaryconservationanalysis pages 1-3
  7. borza2022structureandfunction pages 1-3
  8. slieker2023identificationofbiomarkers pages 10-11
  9. https://doi.org/10.1038/s41467-023-38148-7
  10. https://doi.org/10.3390/metabo14120659
  11. https://doi.org/10.1016/j.heliyon.2024.e40810
  12. https://doi.org/10.1016/j.jbc.2021.101526
  13. https://doi.org/10.1016/j.jbc.2021.101526;
  14. https://doi.org/10.3390/metabo14120659;
  15. https://doi.org/10.1038/s41467-023-38148-7;
  16. https://platform.opentargets.org/
  17. https://doi.org/10.1016/j.jbc.2021.101526,
  18. https://doi.org/10.3390/metabo14120659,
  19. https://doi.org/10.1016/j.heliyon.2024.e40810,
  20. https://doi.org/10.1038/s41467-023-38148-7,