Version history

{
  "kind": "infographic",
  "prompt": "SST interneurons show differential vulnerability depending on the neurodegenerative condition and brain region. This comparison reveals whether SST vulnerability is a general phenomenon or disease-specific.",
  "provider": "other",
  "raw_fields": {
    "papers": [
      {
        "doi": "10.1186/s40478-025-02000-4",
        "value": "10%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Weidling2025",
        "condition": "neurodegeneration",
        "study_system": "rat, cortex",
        "value_source_sentence": "On day 17, hiPSC-derived neural progenitor cells (hiPSC-NPCs) were collected with Accutase, resuspended in N2B27 medium (Advanced DMEM/F12, Neurobasal medium, N2 supplement, B27 supplement without vitamin A, pen/strep, GlutaMax; Thermo Fisher) + 10% DMSO at 10 million cells per mL, and frozen overni"
      },
      {
        "doi": "10.1186/s40246-025-00875-x",
        "value": "1.5%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Bayaraa2025",
        "condition": "neurodegeneration",
        "study_system": "human, cortex (Alzheimer's)",
        "value_source_sentence": "Immunofluorescence staining of adjacent tissue sections The tissue sections mounted on charged slide were fixed in 1.5% paraformaldehyde (PFA) for 15 min and stained with a primary antibody solution (0.25% Triton and 4% BSA) containing mouse anti-β-amyloid antibody 6E10 at 1:10 dilution (BioLegend C"
      },
      {
        "doi": "10.1124/pharmrev.124.001117",
        "value": "95%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Sandoval2024",
        "condition": "neurodegeneration",
        "study_system": "rat, cortex",
        "value_source_sentence": "AD diagnosis at age 65 or older is classified as late-onset AD (LOAD) and accounts for more than 95% of occurrences."
      },
      {
        "doi": "10.3389/fnagi.2025.1542229",
        "value": "60%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Futacsi2025",
        "condition": "neurodegeneration",
        "study_system": "rat, cortex",
        "value_source_sentence": "Animals were group housed under a standard 12-h light/dark cycle at 24 ± 2°C with relative humidity of 50–60%."
      },
      {
        "doi": "10.3389/fnins.2024.1503069",
        "value": "30%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Elhabbari2024",
        "condition": "neurodegeneration",
        "study_system": "human, cortex",
        "value_source_sentence": "Alzheimer’s disease (AD) is a critical public health issue and the leading cause of dementia, with an estimated 32 million persons suffering from AD dementia globally ( Gustavsson et al., 2023 ), constituting between 10 and 30% of individuals above the age of 65 ( Masters et al., 2015 ;  Prince et a"
      },
      {
        "doi": "10.1186/s13024-025-00892-3",
        "value": "10%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Castanho2025b",
        "condition": "neurodegeneration",
        "study_system": "rat, cortex",
        "value_source_sentence": "Given that transcriptomic changes in DLPFC are more moderate compared to other brain regions [ 36 ], DEGs were determined using FDR < 0.1 and |log2FC| > log2(1.1) cut-offs (at least 10% difference in absolute expression)."
      },
      {
        "doi": "10.1186/s40035-022-00300-6",
        "value": "70%",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Morrone2022",
        "condition": "neurodegeneration",
        "study_system": "rat, cortex",
        "value_source_sentence": "Notably, somatostatin (SST) and parvalbumin (PVB) cells account for ~ 70% of interneurons, and provide dendritic and somatic inhibition, respectively, to regulate excitatory activity and cognition [ 6 ,  9 ,  10 ]."
      },
      {
        "doi": "10.1002/alz.14552",
        "value": "significant decrease",
        "method": "immunohistochemistry/in situ hybridization",
        "metric": "SST neuron loss or dysfunction in neurodegeneration",
        "cite_key": "Ren2025",
        "condition": "neurodegeneration",
        "study_system": "rat, cortex",
        "value_source_sentence": "7 \n ,  \n 26 \n ,  \n 27 \n ,  \n 28 \n  A significant decrease in PV+ neurons has been detected in the prefrontal cortex of 6‐month‐old AD animals; a preferential vulnerability of SOM+ neurons was evident in the olfactory cortex and hippocampus, but not in the prefrontal cortex."
      }
    ],
    "comparison_id": "sst-vulnerability-neurodegeneration",
    "comparison_name": "SST Interneuron Vulnerability Across Neurodegenerative Conditions",
    "comparison_type": "cross-study conflict",
    "what_it_reveals": "SST interneurons show differential vulnerability depending on the neurodegenerative condition and brain region. This comparison reveals whether SST vulnerability is a general phenomenon or disease-specific.",
    "homogeneity_check": {
      "caveats": "Different diseases, different stages, different brain regions. Mouse models vs human postmortem. Detection methods affect apparent vulnerability.",
      "comparable": false,
      "n_definition": "postmortem brains or mouse model animals",
      "scope_region": "variable (cortex, hippocampus)",
      "taxonomic_level": "SST+ cell type",
      "scope_population": "SST+ neurons in AD/FTD"
    },
    "suggested_plot_type": "grouped bar"
  },
  "section_id": "section_03_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_03_evidence_package.json",
  "target_ref": "wiki_page:computationalreviewsst-03",
  "review_repo": "ComputationalReviewSST",
  "section_ref": "wiki_page:computationalreviewsst-03",
  "source_path": "evidence/section_03_evidence_package.json",
  "source_refs": [
    "paper:paper-0617794f8d71",
    "paper:paper-3913fd7c9d09",
    "paper:paper-5fe4138adb80",
    "paper:caec88f9-fb04-4e06-bacb-cc0187e73510",
    "paper:paper-2aa02509ea57",
    "paper:paper-532db5d51841",
    "paper:paper-b4028353a2a3",
    "paper:paper-d76812e481b1"
  ],
  "section_title": "Developmental Origins and Maturation",
  "source_policy": {
    "mode": "public_source_pointer_with_short_context",
    "notes": [
      "Local review repositories are read-only inputs.",
      "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
    ],
    "source_commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
  },
  "generation_status": "complete",
  "review_bundle_ref": "analysis_bundle:ab-8466d095488a",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_03_evidence_package.json",
  "commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}