OSCR

Chronic Administration of Marinobufagenin in Mice Causes Hyperlocomotion and Decrease in Anxiety by Altering Monoamine Turnover Unaccompanied by Motor Deficits or Oxidative Stress.

Code ↔ Paper

10 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 10 matches
  1. [1] § 4. Materials and Methods › 4.5. Gait Parameter Assessment › 4.5.3. Calculation of Gait Parameters ↔ Gait/gait_data_analysis_scripts/main.R, lines 43–95 · score 0.84 · gait cycle, phase durations, Body length, Stride length, duty factor, segments
  2. [2] § 4. Materials and Methods › 4.5. Gait Parameter Assessment › 4.5.2. Markerless Pose Estimation Using Lightning Pose ↔ Gait/gait_data_analysis_scripts/config.R, lines 23–40 · score 0.81 · left hind, right hind, left front, right front, cutoff, paw
  3. [3] § 4. Materials and Methods › 4.8. Statistical Analysis ↔ Open_Field/Chron_MBG_OF_analysis.Rmd, lines 262–300 · score 0.79 · glmmTMB, baseline distance, lme4, mouse ID, Gamma, fitted
  4. [4] § 4. Materials and Methods › 4.8. Statistical Analysis ↔ Enzyme_activity/enzyme_MBG_14_day.Rmd, lines 93–176 · score 0.71 · Log2 fold change, enzyme activity, aCSF, heatmap, MBG
  5. [5] § 2. Results › 2.1. Impact of 14-Day ICV Administration of 1.5 μL of 100 μM Marinobufagenin on Locomotor Activity and Anxiety-like Behavior in Mice During a 20-min Open Field Test ↔ Open_Field/Chron_MBG_OF_analysis.Rmd, lines 262–300 · score 0.70 · post hoc, open field, Baseline center, aCSF, predicted, GLMM
  6. [6] § 4. Materials and Methods › 4.7. Determination of Enzyme Activity and MDA Content › 4.7.2. Catalase Activity Assay ↔ Enzyme_activity/enzyme_MBG_14_day.Rmd, lines 224–271 · score 0.66 · CAT activity, mg protein, enzyme activity, min
  7. [7] § 2. Results › 2.2. Impact of 14-Day ICV Administration of 1.5 μL of 100 μM Marinobufagenin on Gait ↔ Gait/gait_data_analysis_scripts/main.R, lines 43–95 · score 0.65 · body length, linear mixed, post hoc, stride length, duty factor, metrics
  8. [8] § 2. Results › 2.3. Effects of 14-Day ICV Administration of 1.5 μL of 100 μM Marinobufagenin on Monoamine and Metabolite Concentrations in Mouse Brain Tissue ↔ Monoamines_HPLC/HPLC_analysis_scripts/config.R, lines 48–119 · score 0.58 · MT, cerebellum, norepinephrine, HIAA, hippocampus, serotonin
  9. [9] § 4. Materials and Methods › 4.8. Statistical Analysis ↔ Monoamines_HPLC/HPLC_analysis_scripts/config.R, lines 1–46 · score 0.58 · Shapiro Wilk, Wilcoxon, HPLC, compound, heatmap, treatment
  10. [10] § 4. Materials and Methods › 4.6. Monoamine Level Evaluation Using High-Performance Liquid Chromatography with Electrochemical Detection ↔ Monoamines_HPLC/HPLC_analysis_scripts/config.R, lines 48–119 · score 0.57 · MT, Norepinephrine, cerebellum, HIAA, Serotonin, hippocampus

Paper

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The authors' code

R · 119 lines · 4.7 KB · no license · 3 matches

  1. # ==============================================================================
  2. # HPLC ANALYSIS PIPELINE: CONFIGURATION & DOCUMENTATION
  3. # ==============================================================================
  4. #
  5. # OVERVIEW:
  6. # This pipeline automates the processing of HPLC monoamine data by merging
  7. # analytical results and experimental metadata.
  8. #
  9. # ------------------------------------------------------------------------------
  10. # INPUT FILE ARCHITECTURE
  11. # ------------------------------------------------------------------------------
  12. # All analysis is linked via the 'sample_ID' column.
  13. #
  14. # 1. HPLC DATA (.csv)
  15. # Naming: YYYY_MM_DD_[EXPERIMENT]_[BATCH]_[INITIALS]_HPLC.csv
  16. # Columns used:
  17. # - [sample_ID]: Primary Join Key.
  18. # - [compound]: Neurotransmitter name (DA, 5-HT, etc.).
  19. # - [conc_pmol_L]: Analytical measurement (Not detected values set to "-").
  20. # - [source_file, sample_num, chrom_ID, retention_time_min, area_mV_s, height_mV]
  21. #
  22. # 2. TISSUE ACQUISITION LOG (.csv)
  23. # Naming: YYYY_MM_DD_[EXPERIMENT]_[BATCH]_[INITIALS]_tissue_acquisition_log.csv
  24. # Columns used:
  25. # - [sample_ID]: Join Key.
  26. # - [mouse_ID]: Unique animal identifier (for tracking individuals).
  27. # - [VAR_...]: Any column starting with "VAR_" (e.g., VAR_Treatment, VAR_Group).
  28. # - [sample_mass_mg, acquisition_date, acquisition_ID]
  29. #
  30. # ------------------------------------------------------------------------------
  31. # PIPELINE STAGES
  32. # ------------------------------------------------------------------------------
  33. # STAGE 01: Data Prep. Performs a Double-Join. Calculates ratios (e.g., DOPAC/DA).
  34. # STAGE 02: Stats. Checks normality (Shapiro-Wilk). Chooses T-test/Wilcoxon
  35. # (for 1 variable) or ANOVA/Kruskal-Wallis (for multiple variables).
  36. # STAGE 03: Plots. Generates Boxplots in localized folders (EN/RU).
  37. # STAGE 04: Heatmap. Generates linear intensity heatmaps showing % change vs.
  38. # control with p-values and significance stars printed in cells.
  39. #
  40. # ==============================================================================
  41. # CONFIGURATION
  42. # ==============================================================================
  44. exp_name <- "Chron_MBG_2W"
  46. show_sample_labels <- FALSE # Set to FALSE to hide IDs on plots
  48. # --- Config for dynamic scaling
  49. plot_unit_width <- 4 # Inches per plot column
  50. plot_unit_height <- 4.5 # Inches per plot row
  51. plots_per_row <- 3 # Number of columns in the grid
  53. # --- DIRECTORIES ---
  54. dir_hplc_raw <- "/mnt/lab_vault/projects/Project_Chron_MBG_2W/02_Raw_Data/Phase_03_Assays/01_HPLC/"
  55. dir_metadata <- "/mnt/lab_vault/projects/Project_Chron_MBG_2W/02_Raw_Data/Phase_03_Assays/01_HPLC/"
  57. dir_output <- "./01_Output"
  58. dir_logs <- "./00_Logs"
  60. # --- SETTINGS ---
  61. var_prefix <- "VAR_"
  62. exclude_compounds <- c("DHBA")
  64. # Define the lookup table for clean plot titles
  65. compound_names <- list(
  66. "NE" = "Norepinephrine",
  67. "DA" = "Dopamine",
  68. "5-HT" = "Serotonin",
  69. "DOPAC" = "DOPAC",
  70. "HVA" = "HVA",
  71. "HIAA" = "5-HIAA",
  72. "3-MT" = "3-MT",
  73. "DHBA" = "DHBA (Internal Standard)"
  74. )
  76. compound_names[["HIAA/5-HT"]] <- "5-HIAA / 5-HT Ratio"
  77. compound_names[["HVA/DA"]] = "HVA / DA Ratio"
  78. compound_names[["DOPAC/DA"]] = "DOPAC / DA Ratio"
  80. structure_map <- list(
  81. "EN" = c("Sr" = "Striatum", "Co" = "PFC", "H" = "Hippocampus", "T" = "Thalamus", "St" = "Brain Stem", "Ce" = "Cerebellum"),
  82. "RU" = c("Sr" = "Стриатум", "Co" = "ПФК", "H" = "Гиппокамп", "T" = "Таламус", "St" = "Ствол Мозга", "Ce" = "Мозжечок")
  83. )
  85. y_labels <- list(
  86. "EN" = c("conc" = "pmol/mg tissue", "ratio" = "Ratio"),
  87. "RU" = c("conc" = "пмоль/мг ткани", "ratio" = "Отношение")
  88. )
  90. plot_order <- c(
  91. "DA", "HVA", "HVA_DA_ratio",
  92. "DOPAC", "DOPAC_DA_ratio",
  93. "3-MT", "3-MT_DA_ratio",
  94. "NE", "NE_DA_ratio",
  95. "5-HT", "HIAA", "HIAA_5-HT_ratio"
  96. )
  98. compound_names_en <- list(
  99. "DA"="Dopamine", "HVA"="HVA", "HVA_DA_ratio"="HVA/DA",
  100. "DOPAC"="DOPAC", "DOPAC_DA_ratio"="DOPAC/DA", "3-MT"="3-MT",
  101. "3-MT_DA_ratio"="3-MT/DA", "NE"="Norepinephrine", "NE_DA_ratio"="NE/DA",
  102. "5-HT"="Serotonin", "HIAA"="5-HIAA", "HIAA_5-HT_ratio"="5-HIAA/5-HT"
  103. )
  105. compound_names_ru <- list(
  106. "DA"="Дофамин", "HVA"="ГВК", "HVA_DA_ratio"="ГВК/ДА",
  107. "DOPAC"="ДОФУК", "DOPAC_DA_ratio"="ДОФУК/ДА", "3-MT"="3-МТ",
  108. "3-MT_DA_ratio"="3-МТ/ДА", "NE"="Норадреналин", "NE_DA_ratio"="НА/ДА",
  109. "5-HT"="Серотонин", "HIAA"="5-ГИУК", "HIAA_5-HT_ratio"="5-ГИУК/5-HT"
  110. )
  112. struct_seq <- c("Sr", "Co", "H", "T", "St", "Ce")
  113. compound_seq <- c(
  114. "DA", "HVA", "HVA_DA_ratio",
  115. "DOPAC", "DOPAC_DA_ratio",
  116. "3-MT", "3-MT_DA_ratio",
  117. "NE", "NE_DA_ratio",
  118. "5-HT", "HIAA", "HIAA_5-HT_ratio"
  119. )

config.R, no license · at the source

Overview

Authors: Rogneda B. Kazanskaya1,2, Arina O. Lobaskova1,2, Anna D. Iushina1,2, Denis A. Abaimov3, Olga I. Kulikova3, Anna B. Volnova1,2, Vassiliy Tsytsarev4, Alexander V. Lopachev1
ORCID iDs: Rogneda B. Kazanskaya, Arina O. Lobaskova, Anna D. Iushina, Denis A. Abaimov, Anna B. Volnova, Vassiliy Tsytsarev, Alexander V. Lopachev
  1. Institute of Translational Biomedicine, St. Petersburg State University, Universitetskaya Nab. 7/9, 199034 St. Petersburg, Russia; (A.O.L.); (A.D.I.); (A.B.V.)
  2. Biological Department, St. Petersburg State University, 199034 St. Petersburg, Russia
  3. Russian Center of Neurology and Neurosciences, 125367 Moscow, Russia; (D.A.A.); (O.I.K.)
  4. Johns Hopkins University, Baltimore, MD 21218, USA
Institutions: St Petersburg University (Russia); Johns Hopkins University (United States)
Journal: International journal of molecular sciences, volume 27, issue 13, article 5713
Dates: received 30 April 2026; accepted 19 June 2026; published online 24 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/ijms27135713 · PMID 42449986 · PMCID PMC13361798 · OpenAlex W7165877971
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: mouse (organism), other condition (population), bipolar (population), cellular / molecular (subfield)
Methods: Statistics, Machine learning, Preprocessing, Spectral & time-frequency, Connectivity
Keywords: marinobufagenin, Na+,K+-ATPase, dopamine, norepinephrine, serotonin, oxidative stress, mania, bipolar disorder, gait
MeSH: Anxiety*, Biogenic Monoamines*, Bufanolides*, Locomotion*, Oxidative Stress*, Animals, Dopamine, Male, Mice, Mice, Inbred C57BL, Monoamine Oxidase, Serotonin (* major topic)
Topic: Ion Transport and Channel Regulation (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Russian Science Foundation (22-75-10131-P); Saint Petersburg State University Research Project (148723091)
Citations: not cited yet (Europe PMC); 80 references in the paper

Abstract

Cardiotonic steroids (CTS) can modulate central nervous system function through their interaction with the Na+,K+-ATPase, affecting dopaminergic transmission. While the CTS ouabain is known to induce mania-like behavior and oxidative damage, the effects of other CTS are less clear. This study examined the effects of 14-day intracerebroventricular administration of 1.5 μL 100 μM marinobufagenin (MBG) on locomotion, gait, monoamine metabolism, and oxidative stress markers (MDA, SOD, catalase, MAO-B) in C57BL/6 mice. Chronic MBG caused increased locomotor activity and time spent in the center of the open field. Unlike ouabain, chronic MBG did not impair motor function, evaluated via gait analysis. MBG elevated striatal MAO-B activity and reduced prefrontal MDA levels, with no changes in SOD or catalase, indicating that it did not cause oxidative stress. However, it did affect dopamine and serotonin metabolism. Monoamine tissue content evaluation on day 15 showed increased dopamine turnover in the striatum and brain stem, and a decrease in the thalamus. Norepinephrine levels increased in the striatum and hippocampus. Serotonin turnover increased in the prefrontal cortex. These results indicate that chronic MBG increases locomotion and reduces anxiety-like behavior through region-specific modulation of dopaminergic and serotonergic signaling distinct from that caused by ouabain.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 10 matches between paragraphs and lines of code.

OSF 4rtsg

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Languages: R (6), Python (1)
Size: 113 files, 7 scripts
Software Heritage: not checked
Found in: “Data Availability Statement”
Holds: 2 notebooks
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: tidyverse (4 files), ggpubr (3 files), patchwork (3 files), emmeans (2 files), ggplot2 (2 files), lme4 (2 files), lmerTest (2 files), broom (1 file), car (1 file), data.table (1 file), glmmTMB (1 file), NumPy (1 file), OpenCV (1 file), rstatix (1 file), SciPy (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
7 files
At the source: osf.io/4rtsg/

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 7 scripts, each with its path and the digest of its content;
  • 10 matches between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data Availability Statement

Data and analysis scripts used in this study are available in an OSF repository—https://osf.io/4rtsg/ accessed on 17 June 2026.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 9 keywords, 12 MeSH terms, 2 funders, 80 references.

Cite

This paper

Kazanskaya, R. B., Lobaskova, A. O., Iushina, A. D., Abaimov, D. A., Kulikova, O. I., Volnova, A. B., Tsytsarev, V., & Lopachev, A. V. (2026). Chronic Administration of Marinobufagenin in Mice Causes Hyperlocomotion and Decrease in Anxiety by Altering Monoamine Turnover Unaccompanied by Motor Deficits or Oxidative Stress. International journal of molecular sciences, 27(13), 5713. https://doi.org/10.3390/ijms27135713

BibTeX

@article{kazanskaya2026chronic,
author = {Kazanskaya, Rogneda B. and Lobaskova, Arina O. and Iushina, Anna D. and Abaimov, Denis A. and Kulikova, Olga I. and Volnova, Anna B. and Tsytsarev, Vassiliy and Lopachev, Alexander V.},
title = {{Chronic Administration of Marinobufagenin in Mice Causes Hyperlocomotion and Decrease in Anxiety by Altering Monoamine Turnover Unaccompanied by Motor Deficits or Oxidative Stress}},
journal = {International journal of molecular sciences},
year = {2026},
month = jun,
volume = {27},
number = {13},
pages = {5713},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {1422-0067},
doi = {10.3390/ijms27135713},
url = {https://doi.org/10.3390/ijms27135713},
pmid = {42449986},
pmcid = {PMC13361798}
}

RIS

TY - JOUR
AU - Kazanskaya, Rogneda B.
AU - Lobaskova, Arina O.
AU - Iushina, Anna D.
AU - Abaimov, Denis A.
AU - Kulikova, Olga I.
AU - Volnova, Anna B.
AU - Tsytsarev, Vassiliy
AU - Lopachev, Alexander V.
TI - Chronic Administration of Marinobufagenin in Mice Causes Hyperlocomotion and Decrease in Anxiety by Altering Monoamine Turnover Unaccompanied by Motor Deficits or Oxidative Stress
T2 - International journal of molecular sciences
J2 - Int J Mol Sci
PY - 2026
DA - 2026/06/24
VL - 27
IS - 13
SP - 5713
SN - 1422-0067
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/ijms27135713
UR - https://doi.org/10.3390/ijms27135713
LA - en
ER -

CSL-JSON

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"id": "10.3390/ijms27135713",
"type": "article-journal",
"title": "Chronic Administration of Marinobufagenin in Mice Causes Hyperlocomotion and Decrease in Anxiety by Altering Monoamine Turnover Unaccompanied by Motor Deficits or Oxidative Stress",
"container-title": "International journal of molecular sciences",
"author": [
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"family": "Kazanskaya",
"given": "Rogneda B."
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{
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{
"family": "Iushina",
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{
"family": "Abaimov",
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"given": "Olga I."
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"given": "Vassiliy"
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"given": "Alexander V."
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],
"container-title-short": "Int J Mol Sci",
"volume": "27",
"issue": "13",
"page": "5713",
"DOI": "10.3390/ijms27135713",
"PMID": "42449986",
"PMCID": "PMC13361798",
"ISSN": "1422-0067",
"publisher": "Multidisciplinary Digital Publishing Institute (MDPI)",
"URL": "https://doi.org/10.3390/ijms27135713",
"language": "en",
"issued": {
"date-parts": [
[
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24
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}
}

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