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The molecular mechanisms of Guizhi Fuling Pills in ameliorating Alzheimer's disease-like cognitive impairment: insights from transcriptomics, metabolomics, and gut microbiome.

Code ↔ Paper

2 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 2 matches
  1. [1] § Results › Network pharmacological analysis ↔ goatools/anno/broad_gos.py, lines 91–156 · score 0.78 · receptor activity, cellular components, molecular functions, positive regulation, membrane, compounds
  2. [2] § Materials and methods › Transcriptomics ↔ goatools/test_data/genes_NCBI_10090_All.py, lines 301–360 · score 0.52 · cDNA, mRNA, Plus, sequencing, Co, transcription

Paper

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The authors' code

Python · 158 lines · 14 KB · BSD-2-Clause · 1 match

  1. """List of the GO IDs that have lots of descendants and low information content"""
  2. __copyright__ = "Copyright (C) 2018-2019, DV Klopfenstein. All rights reserved."
  3. __author__ = "DV Klopfenstein"
  4. # pylint: disable=line-too-long
  5. NS2GOS_SHORT = {
  6. 'BP': {
  7. 'GO:0008150', # BP 29685 18,453 0.015902 4.14 L00 D00 biological_process
  8. 'GO:0065007', # BP 12809 12,729 0.010970 4.51 L01 D01 A biological regulation
  9. 'GO:0050789', # BP 11559 12,053 0.010387 4.57 L02 D02 A regulation of biological process
  10. 'GO:0009987', # BP 11246 15,270 0.013159 4.33 L01 D01 B cellular process
  11. 'GO:0050794', # BP 8212 11,011 0.009489 4.66 L03 D03 A regulation of cellular process
  12. 'GO:0008152', # BP 6394 8,835 0.007614 4.88 L01 D01 C metabolic process
  13. 'GO:0071704', # BP 6051 8,306 0.007158 4.94 L02 D02 C organic substance metabolic process
  14. 'GO:0044237', # BP 5691 7,989 0.006885 4.98 L02 D02 BC cellular metabolic process
  15. },
  16. 'CC':{
  17. 'GO:0005575', # CC 4197 19,578 0.059148 2.83 L00 D00 cellular_component
  18. 'GO:0044464', # CC 3298 17,521 0.052934 2.94 L01 D01 A cell part
  19. 'GO:0044424', # CC 2356 15,063 0.045508 3.09 L02 D02 A intracellular part
  20. },
  21. 'MF':{
  22. 'GO:0003674', # MF 11120 17,426 0.068263 2.68 L00 D00 molecular_function
  23. 'GO:0003824', # MF 7659 5,710 0.022368 3.80 L01 D01 A catalytic activity
  24. 'GO:0005488', # MF 1887 15,267 0.059805 2.82 L01 D01 B binding
  25. },
  26. }
  27. NS2GOS = {
  28. 'BP': {
  29. 'GO:0008150', # BP 29685 18,453 0.015902 4.14 L00 D00 biological_process
  30. 'GO:0065007', # BP 12809 12,729 0.010970 4.51 L01 D01 A biological regulation
  31. 'GO:0050789', # BP 11559 12,053 0.010387 4.57 L02 D02 A regulation of biological process
  32. 'GO:0009987', # BP 11246 15,270 0.013159 4.33 L01 D01 B cellular process
  33. 'GO:0050794', # BP 8212 11,011 0.009489 4.66 L03 D03 A regulation of cellular process
  34. 'GO:0008152', # BP 6394 8,835 0.007614 4.88 L01 D01 C metabolic process
  35. 'GO:0071704', # BP 6051 8,306 0.007158 4.94 L02 D02 C organic substance metabolic process
  36. 'GO:0044237', # BP 5691 7,989 0.006885 4.98 L02 D02 BC cellular metabolic process
  37. 'GO:0044238', # BP 4213 7,935 0.006838 4.99 L02 D02 C primary metabolic process
  38. 'GO:0006807', # BP 3954 7,465 0.006433 5.05 L02 D02 C nitrogen compound metabolic process
  39. 'GO:0048518', # BP 3575 6,212 0.005353 5.23 L03 D03 A positive regulation of biological process
  40. 'GO:0048519', # BP 3483 5,751 0.004956 5.31 L03 D03 A negative regulation of biological process
  41. 'GO:0019222', # BP 3356 7,289 0.006282 5.07 L03 D03 A regulation of metabolic process
  42. 'GO:0032502', # BP 3217 4,946 0.004262 5.46 L01 D01 D developmental process
  43. 'GO:0031323', # BP 2921 6,302 0.005431 5.22 L04 D04 A regulation of cellular metabolic process
  44. 'GO:1901564', # BP 2881 5,283 0.004553 5.39 L03 D03 C organonitrogen compound metabolic process
  45. 'GO:0051239', # BP 2674 3,248 0.002799 5.88 L03 D03 A regulation of multicellular organismal process
  46. 'GO:1901360', # BP 2602 3,753 0.003234 5.73 L03 D03 C organic cyclic compound metabolic process
  47. 'GO:0080090', # BP 2477 6,230 0.005369 5.23 L04 D04 A regulation of primary metabolic process
  48. 'GO:0048523', # BP 2396 4,843 0.004174 5.48 L04 D04 A negative regulation of cellular process
  49. 'GO:0043170', # BP 2385 6,619 0.005704 5.17 L03 D03 C macromolecule metabolic process
  50. 'GO:0048522', # BP 2378 5,479 0.004722 5.36 L04 D04 A positive regulation of cellular process
  51. 'GO:0048583', # BP 2372 4,334 0.003735 5.59 L03 D03 A regulation of response to stimulus
  52. 'GO:0044281', # BP 2364 1,744 0.001503 6.50 L02 D02 C small molecule metabolic process
  53. 'GO:0050896', # BP 2283 5,768 0.004971 5.30 L01 D01 E response to stimulus
  54. 'GO:0051171', # BP 2234 6,060 0.005222 5.25 L04 D04 A regulation of nitrogen compound metabolic process
  55. 'GO:0006725', # BP 2233 3,528 0.003040 5.80 L03 D03 BC cellular aromatic compound metabolic process
  56. 'GO:0034641', # BP 2155 3,827 0.003298 5.71 L03 D03 BC cellular nitrogen compound metabolic process
  57. 'GO:0046483', # BP 2152 3,483 0.003002 5.81 L03 D03 BC heterocycle metabolic process
  58. 'GO:0051179', # BP 2119 4,811 0.004146 5.49 L01 D01 F localization
  59. 'GO:0060255', # BP 2110 6,771 0.005835 5.14 L04 D04 A regulation of macromolecule metabolic process
  60. 'GO:0050793', # BP 2040 2,693 0.002321 6.07 L03 D03 A regulation of developmental process
  61. 'GO:0009058', # BP 1843 2,533 0.002183 6.13 L02 D02 C biosynthetic process
  62. 'GO:0032879', # BP 1798 2,851 0.002457 6.01 L03 D03 A regulation of localization
  63. 'GO:1901576', # BP 1766 2,475 0.002133 6.15 L03 D03 C organic substance biosynthetic process
  64. 'GO:0071840', # BP 1738 5,385 0.004641 5.37 L01 D01 G cellular component organization or biogenesis
  65. 'GO:0044260', # BP 1726 4,739 0.004084 5.50 L03 D04 BC cellular macromolecule metabolic process
  66. 'GO:0065008', # BP 1710 3,759 0.003239 5.73 L02 D02 A regulation of biological quality
  67. 'GO:0016043', # BP 1709 5,337 0.004599 5.38 L02 D02 BG cellular component organization
  68. 'GO:0051234', # BP 1681 4,325 0.003727 5.59 L02 D02 F establishment of localization
  69. 'GO:0006810', # BP 1587 4,195 0.003615 5.62 L03 D03 F transport
  70. 'GO:0009889', # BP 1583 4,400 0.003792 5.57 L04 D04 A regulation of biosynthetic process
  71. 'GO:0044249', # BP 1575 2,346 0.002022 6.20 L03 D03 BC cellular biosynthetic process
  72. 'GO:2000026', # BP 1532 2,154 0.001856 6.29 L04 D04 A regulation of multicellular organismal development
  73. 'GO:0006139', # BP 1524 3,312 0.002854 5.86 L03 D04 BC nucleobase-containing compound metabolic process
  74. 'GO:0051704', # BP 1474 1,534 0.001322 6.63 L01 D01 H multi-organism process
  75. 'GO:0031326', # BP 1467 4,321 0.003724 5.59 L05 D05 A regulation of cellular biosynthetic process
  76. 'GO:0009056', # BP 1382 1,946 0.001677 6.39 L02 D02 C catabolic process
  77. 'GO:0051128', # BP 1372 2,507 0.002160 6.14 L04 D04 A regulation of cellular component organization
  78. 'GO:0010646', # BP 1323 3,537 0.003048 5.79 L04 D04 A regulation of cell communication
  79. 'GO:0023051', # BP 1302 3,579 0.003084 5.78 L03 D03 A regulation of signaling
  80. 'GO:1901575', # BP 1290 1,678 0.001446 6.54 L03 D03 C organic substance catabolic process
  81. 'GO:0051049', # BP 1280 1,879 0.001619 6.43 L04 D04 A regulation of transport
  82. 'GO:0019538', # BP 1171 4,189 0.003610 5.62 L03 D04 C protein metabolic process
  83. 'GO:0044248', # BP 1164 1,693 0.001459 6.53 L03 D03 BC cellular catabolic process
  84. 'GO:0006082', # BP 1130 998 0.000860 7.06 L03 D03 BC organic acid metabolic process
  85. 'GO:0002682', # BP 1127 1,659 0.001430 6.55 L03 D03 A regulation of immune system process
  86. 'GO:0043436', # BP 1089 977 0.000842 7.08 L04 D04 BC oxoacid metabolic process
  87. 'GO:0048869', # BP 1062 2,764 0.002382 6.04 L02 D02 BD cellular developmental process
  88. 'GO:0042221', # BP 1059 2,723 0.002347 6.05 L02 D02 E response to chemical
  89. 'GO:0009893', # BP 1056 3,640 0.003137 5.76 L04 D04 A positive regulation of metabolic process
  90. 'GO:0043412', # BP 1048 3,230 0.002784 5.88 L04 D04 C macromolecule modification
  91. 'GO:0048856', # BP 1038 3,320 0.002861 5.86 L02 D02 D anatomical structure development
  92. 'GO:0009892', # BP 1035 3,414 0.002942 5.83 L04 D04 A negative regulation of metabolic process
  93. 'GO:0065009', # BP 1028 2,987 0.002574 5.96 L02 D02 A regulation of molecular function
  94. 'GO:0071702', # BP 1017 2,082 0.001794 6.32 L04 D04 F organic substance transport
  95. 'GO:0009966', # BP 1001 3,163 0.002726 5.90 L04 D05 A regulation of signal transduction
  96. 'GO:0032501', # BP 995 3,479 0.002998 5.81 L01 D01 I multicellular organismal process
  97. 'GO:0019219', # BP 987 4,138 0.003566 5.64 L05 D05 A regulation of nucleobase-containing compound metabolic process
  98. 'GO:0010556', # BP 970 4,134 0.003563 5.64 L05 D05 A regulation of macromolecule biosynthetic process
  99. 'GO:0044267', # BP 936 3,376 0.002909 5.84 L04 D05 BC cellular protein metabolic process
  100. 'GO:0031325', # BP 936 3,328 0.002868 5.85 L05 D05 A positive regulation of cellular metabolic process
  101. 'GO:0051246', # BP 936 2,935 0.002529 5.98 L05 D05 A regulation of protein metabolic process
  102. 'GO:0045595', # BP 921 1,876 0.001617 6.43 L04 D04 A regulation of cell differentiation
  103. 'GO:0036211', # BP 906 3,021 0.002603 5.95 L04 D05 C protein modification process
  104. 'GO:0006464', # BP 904 3,021 0.002603 5.95 L05 D06 BC cellular protein modification process
  105. 'GO:0006793', # BP 891 2,053 0.001769 6.34 L03 D03 BC phosphorus metabolic process
  106. 'GO:1901362', # BP 875 1,318 0.001136 6.78 L04 D04 C organic cyclic compound biosynthetic process
  107. 'GO:0031324', # BP 873 2,635 0.002271 6.09 L05 D05 A negative regulation of cellular metabolic process
  108. 'GO:0080134', # BP 855 1,644 0.001417 6.56 L04 D04 A regulation of response to stress
  109. 'GO:0010468', # BP 846 5,112 0.004405 5.42 L05 D05 A regulation of gene expression
  110. 'GO:0051716', # BP 846 2,935 0.002529 5.98 L02 D02 BE cellular response to stimulus
  111. 'GO:0022414', # BP 843 1,389 0.001197 6.73 L01 D01 J reproductive process
  112. 'GO:0090304', # BP 833 2,754 0.002373 6.04 L04 D05 BC nucleic acid metabolic process
  113. 'GO:0006796', # BP 828 2,026 0.001746 6.35 L04 D04 BC phosphate-containing compound metabolic process
  114. 'GO:0051240', # BP 828 1,797 0.001549 6.47 L04 D04 A positive regulation of multicellular organismal process
  115. 'GO:0048584', # BP 824 2,441 0.002104 6.16 L04 D04 A positive regulation of response to stimulus
  116. },
  117. 'CC':{
  118. 'GO:0005575', # CC 4197 19,578 0.059148 2.83 L00 D00 cellular_component
  119. 'GO:0044464', # CC 3298 17,521 0.052934 2.94 L01 D01 A cell part
  120. 'GO:0044424', # CC 2356 15,063 0.045508 3.09 L02 D02 A intracellular part
  121. 'GO:0032991', # CC 2107 6,150 0.018580 3.99 L01 D01 B protein-containing complex
  122. 'GO:0044422', # CC 1610 10,111 0.030547 3.49 L01 D01 C organelle part
  123. 'GO:0044446', # CC 1458 9,810 0.029638 3.52 L02 D03 AC intracellular organelle part
  124. 'GO:0044444', # CC 1257 9,735 0.029411 3.53 L03 D03 A cytoplasmic part
  125. 'GO:0044425', # CC 908 6,938 0.020961 3.87 L01 D01 D membrane part
  126. 'GO:0044428', # CC 490 5,022 0.015172 4.19 L03 D04 AC nuclear part
  127. 'GO:0044459', # CC 472 2,985 0.009018 4.71 L02 D02 AD plasma membrane part
  128. 'GO:0043226', # CC 383 11,684 0.035299 3.34 L01 D01 E organelle
  129. },
  130. 'MF':{
  131. 'GO:0003674', # MF 11120 17,426 0.068263 2.68 L00 D00 molecular_function
  132. 'GO:0003824', # MF 7659 5,710 0.022368 3.80 L01 D01 A catalytic activity
  133. 'GO:0016740', # MF 2457 2,272 0.008900 4.72 L02 D02 A transferase activity
  134. 'GO:0016491', # MF 2368 748 0.002930 5.83 L02 D02 A oxidoreductase activity
  135. 'GO:0005488', # MF 1887 15,267 0.059805 2.82 L01 D01 B binding
  136. 'GO:0016787', # MF 1643 2,533 0.009923 4.61 L02 D02 A hydrolase activity
  137. 'GO:0005215', # MF 1079 1,140 0.004466 5.41 L01 D01 C transporter activity
  138. 'GO:0022857', # MF 1042 1,045 0.004094 5.50 L02 D02 C transmembrane transporter activity
  139. 'GO:0005515', # MF 966 11,807 0.046252 3.07 L02 D02 B protein binding
  140. 'GO:0015075', # MF 691 880 0.003447 5.67 L03 D03 C ion transmembrane transporter activity
  141. 'GO:0015318', # MF 635 817 0.003200 5.74 L03 D03 C inorganic molecular entity transmembrane transporter activity
  142. 'GO:0016772', # MF 603 918 0.003596 5.63 L03 D03 A transferase activity, transferring phosphorus-containing groups
  143. 'GO:0016788', # MF 558 741 0.002903 5.84 L03 D03 A hydrolase activity, acting on ester bonds
  144. 'GO:0097159', # MF 497 6,328 0.024789 3.70 L02 D02 B organic cyclic compound binding
  145. 'GO:1901363', # MF 457 6,241 0.024448 3.71 L02 D02 B heterocyclic compound binding
  146. 'GO:0140096', # MF 443 2,165 0.008481 4.77 L02 D02 A catalytic activity, acting on a protein
  147. 'GO:0005102', # MF 431 1,624 0.006362 5.06 L03 D03 B signaling receptor binding
  148. 'GO:0060089', # MF 419 1,538 0.006025 5.11 L01 D01 D molecular transducer activity
  149. 'GO:0038023', # MF 403 1,484 0.005813 5.15 L02 D02 D signaling receptor activity
  150. 'GO:0016301', # MF 355 762 0.002985 5.81 L04 D04 A kinase activity
  151. },
  152. }
  153. # Copyright (C) 2018-2019, DV Klopfenstein. All rights reserved

broad_gos.py at commit 4cd1c71, under BSD-2-Clause · at the source

Overview

Authors: Lan Ma1, Jing Wang2, Zhenghao Xu3, Zuxiu Huang1, Kelong Chen1, Xiaoqiong Teng1, Miao Chen1, Shuyang Lin1, Rong Zhou1
  1. Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China
  2. Nanning Hospital of Traditional Chinese Medicine, Nanning, China
  3. Zhejiang Chinese Medical University, Hangzhou, China
Journal: Frontiers in aging neuroscience, volume 18, article 1839445
Dates: received 26 March 2026; accepted 23 July 2026; published online 13 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fnagi.2026.1839445 · PMID 42661899 · PMCID PMC13518511 · OpenAlex W7202360868
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: genetics / omics (modality), histology / microscopy (modality), mouse (organism), Alzheimer's / dementia (population), cellular / molecular (subfield)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Machine learning, Evoked potentials
Keywords: Alzheimer’s disease, Guizhi Fuling Pills, gut microbiota, metabolomics, transcriptomics
Topic: Antioxidants, Aging, Portulaca oleracea (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 33 references in the paper

Abstract

Background: Alzheimer’s disease (AD)-like cognitive impairment, as a major type of cognitive disorder, has witnessed a sharp rise in prevalence. Therefore, there is an urgent need to develop effective therapeutic intervention measures. Guizhi Fuling Pills (GFP), a classical Traditional Chinese Medicine (TCM) formula, has been shown to exert protective effects on cognitive function. However, its underlying mechanisms remain unclear.

Objective: To investigate the effects of GFP on AD-like cognitive impairment and elucidate its underlying mechanisms.

Methods: D-galactose (D-gal)-induced aged mice were used as the model. Mice were administered via gavage for 4 weeks with 0.9% normal saline (0.1 mL/10 g/d), low-dose GFP (12.56 g/kg/d), medium-dose GFP (25.11 g/kg/d), high-dose GFP (50.22 g/kg/d), and donepezil (5 mg/kg/d). A behavioral test was conducted using the Morris water maze. Histopathological changes were observed via H&E staining and immunohistochemistry (IHC). In addition, various methods such as transcriptomics, metabolomics, network pharmacology, and analysis of gut microbiota were utilized to elucidate the possible mechanisms.

Results: Guizhi Fuling Pills improved learning and memory function in aged mice, ameliorated hippocampal neuronal morphology, and reduced p-Tau protein deposition. Network pharmacology and hippocampal transcriptomic analyses suggested that the active components in GFP may ameliorate cognitive impairment through multiple mechanisms. It included regulation of the VEGF and PI3K/AKT signaling pathways, attenuation of inflammatory responses, inhibition of apoptosis, and repair of the blood-brain barrier (BBB). Gut microbiota analysis revealed that GFP modulated the compositional structure of the gut microbiota, including increasing the abundance of Lactobacillales and decreasing Desulfovibrionia and Tannerellaceae. Metabolomics suggested that GFP may ameliorate metabolic disorders in aged mice by modulating the synthesis of lipids and lipid-like molecules.

Conclusion: The findings of this study suggest that GFP may ameliorate cognitive dysfunction in AD-like cognitive impairment mice through multiple mechanisms, including repair of the BBB, attenuation of inflammatory responses, and modulation of the gut microbiota and metabolic disorders.

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

Repositories

Its files are read in the Code ↔ Paper reader above, with 2 matches between paragraphs and lines of code.

OpenGene/fastp

License: MIT
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 8a2397b6628ae14127efdb7566f67fc05f9aea56, 10 September 2026
Languages: C/C++ (34), C++ (29), Shell (2), Python (1)
Size: 73 files, 66 scripts
Software Heritage: not archived
Found in: the text
Holds: README, license file, continuous integration
Not found: CITATION.cff, environment file, tests, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
68 files

tanghaibao/GOatools

License: BSD-2-Clause
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 4cd1c71bca876d545c2a7e8714ac907019e0649c, 21 August 2026
Languages: Python (312), Jupyter (24), Shell (1)
Size: 523 files, 337 scripts
Software Heritage: archived
Found in: the text
Holds: README, license file, environment (pyproject.toml, setup.cfg, setup.py), tests, continuous integration, documentation, 24 notebooks
Not found: CITATION.cff
Tools: NumPy (3 files), SciPy (2 files), NetworkX (1 file), statsmodels (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
136 files

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:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 200 scripts, each with its path and the digest of its content;
  • 2 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

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, PRJNA1428548 (https://ncbi.nlm.nih.gov/nucleotide/PRJNA1428548).

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, pages, dates, 9 authors, 5 keywords, 29 references.

Cite

This paper

Ma, L., Wang, J., Xu, Z., Huang, Z., Chen, K., Teng, X., Chen, M., Lin, S., & Zhou, R. (2026). The molecular mechanisms of Guizhi Fuling Pills in ameliorating Alzheimer's disease-like cognitive impairment: insights from transcriptomics, metabolomics, and gut microbiome. Frontiers in aging neuroscience, 18, 1839445. https://doi.org/10.3389/fnagi.2026.1839445

BibTeX

@article{ma2026molecular,
author = {Ma, Lan and Wang, Jing and Xu, Zhenghao and Huang, Zuxiu and Chen, Kelong and Teng, Xiaoqiong and Chen, Miao and Lin, Shuyang and Zhou, Rong},
title = {{The molecular mechanisms of Guizhi Fuling Pills in ameliorating Alzheimer's disease-like cognitive impairment: insights from transcriptomics, metabolomics, and gut microbiome}},
journal = {Frontiers in aging neuroscience},
year = {2026},
month = aug,
volume = {18},
pages = {1839445},
publisher = {Frontiers Media SA},
issn = {1663-4365},
doi = {10.3389/fnagi.2026.1839445},
url = {https://doi.org/10.3389/fnagi.2026.1839445},
pmid = {42661899},
pmcid = {PMC13518511}
}

RIS

TY - JOUR
AU - Ma, Lan
AU - Wang, Jing
AU - Xu, Zhenghao
AU - Huang, Zuxiu
AU - Chen, Kelong
AU - Teng, Xiaoqiong
AU - Chen, Miao
AU - Lin, Shuyang
AU - Zhou, Rong
TI - The molecular mechanisms of Guizhi Fuling Pills in ameliorating Alzheimer's disease-like cognitive impairment: insights from transcriptomics, metabolomics, and gut microbiome
T2 - Frontiers in aging neuroscience
J2 - Front Aging Neurosci
PY - 2026
DA - 2026/08/13
VL - 18
SP - 1839445
SN - 1663-4365
PB - Frontiers Media SA
DO - 10.3389/fnagi.2026.1839445
UR - https://doi.org/10.3389/fnagi.2026.1839445
LA - en
ER -

CSL-JSON

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In common: NetworkX, statsmodels, SciPy, 1 other tool, Alzheimer's / dementia, genetics / omics, cellular / molecular
[3] doi:10.1038/s41467-026-73902-7 [code]
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Journal: Nature communications
In common: NetworkX, SciPy, NumPy, Alzheimer's / dementia, genetics / omics, cellular / molecular, 1 reference
[4] doi:10.1038/s41586-026-10629-x [code]
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Journal: Nature
In common: NetworkX, statsmodels, SciPy, 1 other tool, genetics / omics, mouse, cellular / molecular
[5] doi:10.1093/molbev/msag035 [code]
Mammalian mitochondrial DNA accumulates insertions and deletions with age in energetically demanding tissues.
Journal: Molecular biology and evolution
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[6] doi:10.1016/j.isci.2026.116825 [code]
Social hierarchy shapes behavioral and transcriptional responses to chronic stress and ketamine in male mice.
Journal: iScience
In common: NetworkX, statsmodels, SciPy, 1 other tool, genetics / omics, mouse
[7] doi:10.1016/j.isci.2026.116055 [code]
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Journal: iScience
In common: NetworkX, statsmodels, SciPy, 1 other tool, genetics / omics, mouse
[8] doi:10.1038/s41467-026-76676-0 [code]
Determinants of functional burden pleiotropy and gene dosage responses across human traits.
Journal: Nature communications
In common: NetworkX, statsmodels, SciPy, 1 other tool, genetics / omics, cellular / molecular
[9] doi:10.3390/ijms27167275 [code]
Integrative Multi-Omics Analysis of Multiple Sclerosis Reveals Cell-Type-Specific Regulatory Landscapes and Discordant Methylation-Expression Coupling.
Journal: International journal of molecular sciences
In common: NetworkX, statsmodels, SciPy, 1 other tool, genetics / omics, cellular / molecular
[10] doi:10.1038/s41398-026-03965-z [code]
Disentangling individual heterogeneity reveals robust network and molecular signatures of major depressive disorder with suicidal ideation.
Journal: Translational psychiatry
In common: NetworkX, statsmodels, SciPy, 1 other tool, genetics / omics, cellular / molecular

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