Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,100Open textbooks2Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology107Genetics and Genomics95Neuroscience110Cardiovascular Medicine105Immunology90Pharmacology99Molecular Biology100Infectious Diseases102Rare and Inherited Diseases106Clinical Research98Anatomy and Physiology542Drugs and Chemicals546
Plans & pricingCompare EvidenceHelix workspace plans
Library›EvidenceLib›Pharmacology›Up-Regulation
Explore more with EvidenceHelix Workspace

Compare studies, analyze evidence and create research reports with premium tools.

Explore Researcher plans

Research reading room

Up-Regulation

Pharmacology · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

A positive regulatory effect on physiological processes at the molecular, cellular, or systemic level.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (819 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A positive regulatory effect on physiological processes at the molecular, cellular, or systemic level. At the molecular level, the major regulatory sites include membrane receptors, genes (gene expression regulation), mRNAs (RNA, messenger), and proteins.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Up Regulation; Up-Regulation (Physiology); Upregulation; Receptor Up-Regulation.

Where it fits in the MeSH classification

Broader topics
Biochemical Phenomena; Gene Expression Regulation; Pharmacological Phenomena
See also
Down-Regulation; Feedback, Physiological

Related concepts

  • Gene Expression Regulation
  • Messenger

Research landscape

PubMed indexes 120,829 records tagged with the MeSH heading “Up-Regulation” (counts retrieved 2026-10-29). 18,837 of them (15.6%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 59,630 records.

Reviews account for 2,800 records (2.3%) and meta-analyses for 287. Randomized controlled trials number 620 (0.5%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 5,502 records; 2000-2009: 36,860 records; 2010-2019: 59,630 records; 2020 onward: 18,837 records5,502through 199936,8602000-200959,6302010-201918,8372020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19995,502
2000-200936,860
2010-201959,630
2020 onward18,837
Share of records by publication typeReviews: 2.3 percent; Meta-analyses: 0.2 percent; Randomized controlled trials: 0.5 percentReviews2.3% (2,800)Meta-analyses0.2% (287)Randomized controlled trials0.5% (620)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 120,829 PubMed records
TypeRecordsShare
Reviews2,8002.3%
Meta-analyses2870.2%
Randomized controlled trials6200.5%

Method: PubMed query "Up-Regulation"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in pharmacology

Drug evidence builds in layers: laboratory pharmacology describes how a compound acts, pharmacokinetic studies describe how the body handles it, and randomized trials test whether it helps and what harms it causes. Post-marketing surveillance and observational studies reveal rarer adverse effects but cannot prove causation. This page is educational and is not a recommendation to start, stop or change any medicine; decisions about treatment belong with a qualified clinician.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3
Seehawer M, Li Z, Nishida J, Foidart P, Reiter AH, Rojas-Jimenez E, et al.
2024Research article
Design not recorded in structured metadata
50cc by
PMID 38926506 · DOI · PMC11251985
IL-4/IL-4R axis signaling drives resistance to immunotherapy by inducing the upregulation of Fcγ receptor IIB in M2 macrophages
Zhang J, Dong Y, Yu S, Hu K, Zhang L, Xiong M, et al.
2024Research article
Design not recorded in structured metadata
42cc by
PMID 39003253 · DOI · PMC11246528
Curcumin promotes ferroptosis in hepatocellular carcinoma via upregulation of ACSL4
Jiang Y, Hui D, Pan Z, Yu Y, Liu L, Yu X, et al.
2024Research article
Design not recorded in structured metadata
36cc by
PMID 39311951 · DOI · PMC11420324
B7-H3 upregulation in ischemic stroke: friend or foe?
Challa SR, Baker IM, Fornal CA, Mada SR, Khan N, Jackson SN, et al.
2026Research article
Design not recorded in structured metadata
3cc by
PMID 41620196 · DOI · PMC13318485

Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3 [1]

Research article Seehawer M, Li Z, Nishida J, Foidart P, Reiter AH, Rojas-Jimenez E, et al. · · 2024 · cited 50 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
KMT2C and KMT2D, encoding histone H3 lysine 4 methyltransferases, are among the most commonly mutated genes in triple-negative breast cancer (TNBC).
Closing excerpt
Taken together, we identified the KDM6A-matrix metalloproteinase 3 axis as a key mediator of KMT2C/D loss-driven metastasis in TNBC.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (169 words)

KMT2C and KMT2D, encoding histone H3 lysine 4 methyltransferases, are among the most commonly mutated genes in triple-negative breast cancer (TNBC). However, how these mutations may shape epigenomic and transcriptomic landscapes to promote tumorigenesis is largely unknown. Here we describe that deletion of Kmt2c or Kmt2d in non-metastatic murine models of TNBC drives metastasis, especially to the brain. Global chromatin profiling and chromatin immunoprecipitation followed by sequencing revealed altered H3K4me1, H3K27ac and H3K27me3 chromatin marks in knockout cells and demonstrated enhanced binding of the H3K27me3 lysine demethylase KDM6A, which significantly correlated with gene expression. We identified Mmp3 as being commonly upregulated via epigenetic mechanisms in both knockout models. Consistent with these findings, samples from patients with KMT2C-mutant TNBC have higher MMP3 levels. Downregulation or pharmacological inhibition of KDM6A diminished Mmp3 upregulation induced by the loss of histone-lysine N-methyltransferase 2 (KMT2) and prevented brain metastasis similar to direct downregulation of Mmp3. Taken together, we identified the KDM6A-matrix metalloproteinase 3 axis as a key mediator of KMT2C/D loss-driven metastasis in TNBC.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38926506 · DOI · PMC11251985

IL-4/IL-4R axis signaling drives resistance to immunotherapy by inducing the upregulation of Fcγ receptor IIB in M2 macrophages [2]

Research article Zhang J, Dong Y, Yu S, Hu K, Zhang L, Xiong M, et al. · · 2024 · cited 42 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
In recent years, immunotherapy, particularly PD-1 antibodies, have significantly enhanced the outcome of gastric cancer patients.
Closing excerpt
These findings highlight the role of IL-4-induced macrophage polarization and metabolic reprogramming in immune resistance and verify IL-4 as potential targets for improving treatment outcomes in gastric cancer patients.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (167 words)

In recent years, immunotherapy, particularly PD-1 antibodies, have significantly enhanced the outcome of gastric cancer patients. Despite these advances, some patients do not respond well to treatment, highlighting the need to understand resistance mechanisms and develop predictive markers of treatment effectiveness. This study retrospectively analyzed data from 106 patients with stage IV gastric cancer who were treated with first-line immunotherapy in combination with chemotherapy. By comparing plasma cytokine levels between patients resistant and sensitive to PD-1 antibody therapy, the researchers identified elevated IL-4 expression in the resistant patients. Mechanical investigations revealed that IL-4 induces metabolic changes in macrophages that activate the PI3K/AKT/mTOR pathway. This alteration promotes ATP production, enhances glycolysis, increases lactic acid production, and upregulates FcγRIIB expression in macrophages. Ultimately, these changes lead to CD8+ T cell dysfunction and resistance to PD-1 antibody therapy in gastric cancer. These findings highlight the role of IL-4-induced macrophage polarization and metabolic reprogramming in immune resistance and verify IL-4 as potential targets for improving treatment outcomes in gastric cancer patients.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39003253 · DOI · PMC11246528

Curcumin promotes ferroptosis in hepatocellular carcinoma via upregulation of ACSL4 [3]

Research article Jiang Y, Hui D, Pan Z, Yu Y, Liu L, Yu X, et al. · · 2024 · cited 36 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundFerroptosis, a novel iron-ion-dependent metabolic cell death mode with lipid peroxides as the main driving substrate, plays an irreplaceable role in the development and preventive treatment of hepatocellular carcinoma.
Closing excerpt
These results suggest that ACSL4 is a viable target for curcumin-induced ferroptosis in treating HCC.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (190 words)

BackgroundFerroptosis, a novel iron-ion-dependent metabolic cell death mode with lipid peroxides as the main driving substrate, plays an irreplaceable role in the development and preventive treatment of hepatocellular carcinoma. Curcumin has potent pharmacological anti-tumor effects.Aim of the studyWe aimed to evaluate the ex vivo and in vivo cancer inhibitory activity of curcumin and its specific mechanism of action.Materials and methodsWe used the hepatocellular carcinoma cell lines HepG2 and SMMC7721 to assess the direct inhibition of hepatocellular carcinoma proliferation by curcumin in vitro and a tumor xenograft model to evaluate the in vivo cancer inhibitory effect of curcumin.ResultsIn this study, we found that ferroptosis's inhibitors specifically reversed the curcumin-induced cell death pattern in HCC. After curcumin intervention, there was a substantial increase in MDA levels and iron ion levels, and a decrease in intracellular GSH levels. Meanwhile, the expression of GPX4 and SLC7A11 was significantly reduced at the protein levels, while ACSL4 and PTGS2 expression was significantly increased.ConclusionsThis study showed that curcumin significantly decreased the proliferation of HCC cells and significantly increased the sensitivity of ferroptosis. These results suggest that ACSL4 is a viable target for curcumin-induced ferroptosis in treating HCC.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39311951 · DOI · PMC11420324

B7-H3 upregulation in ischemic stroke: friend or foe? [4]

Research article Challa SR, Baker IM, Fornal CA, Mada SR, Khan N, Jackson SN, et al. · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
B7-H3 (CD276) is an immune checkpoint co-signaling molecule expressed on immune and non-immune cells.
Closing excerpt
These findings identify B7-H3 as an ischemia-induced immune checkpoint molecule in the brain that may modulate post-stroke immune responses and support further investigation into its beneficial versus detrimental roles in neuroinflammation and its potential as a therapeutic target following cerebral I/R.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (293 words)

B7-H3 (CD276) is an immune checkpoint co-signaling molecule expressed on immune and non-immune cells. It is best known for suppressing T-cell responses but can also promote inflammation depending on the microenvironment. In neuroinflammatory models such as experimental autoimmune encephalomyelitis, B7-H3 expression increases concomitantly with the inflammatory response, and its inhibition is associated with reduced disease progression. Although its role in ischemic stroke remains unclear, we hypothesized that cerebral ischemia/reperfusion (I/R) would upregulate B7-H3 expression in the ischemic brain and that increased B7-H3 expression would positively correlate with pro-inflammatory cytokine expression. Young and aged male and female rodents, including normotensive and spontaneously hypertensive rats to model comorbid hypertension, underwent transient middle cerebral artery occlusion (MCAO) followed by reperfusion. Brain tissue was collected on post-MCAO days 1, 3, 5, or 7. B7-H3 mRNA was analyzed by real-time PCR, whereas protein expression was assessed by Western blotting and immunohistochemistry at selected time points. B7-H3 expression was significantly upregulated in the ischemic brain across sexes, age groups, and species. The extent of B7-H3 degradation was influenced by species, sex, age, and time after cerebral I/R. Upregulation of B7-H3 was observed at both the mRNA and protein levels and was localized primarily to the somatosensory cortex and caudate putamen in the ipsilateral (ischemic) hemisphere, the main regions affected in this MCAO model. Elevated B7-H3 expression in the ischemic brain positively correlated with the pro-inflammatory mediator TNFα. In rats, the temporal profile of B7-H3 expression paralleled the early inflammatory phase associated with secondary tissue damage after ischemic stroke. These findings identify B7-H3 as an ischemia-induced immune checkpoint molecule in the brain that may modulate post-stroke immune responses and support further investigation into its beneficial versus detrimental roles in neuroinflammation and its potential as a therapeutic target following cerebral I/R.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41620196 · DOI · PMC13318485

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Microglia in Pain: Detrimental and Protective Roles in Pathogenesis and Resolution of Pain [5]
    Chen G, Zhang YQ, Qadri YJ, Serhan CN, Ji RR · Neuron · 2018 · cited 655 times (Europe PMC)
  • Research article The ups and downs of β oscillations in sensorimotor cortex [6]
    Kilavik BE, Zaepffel M, Brovelli A, MacKay WA, Riehle A · Exp Neurol · 2013 · cited 630 times (Europe PMC)
  • Research article Targeting long non-coding RNA to therapeutically upregulate gene expression [7]
    Wahlestedt C · Nat Rev Drug Discov · 2013 · cited 410 times (Europe PMC)
  • Research article Posttranscriptional upregulation by microRNAs [8]
    Vasudevan S · Wiley Interdiscip Rev RNA · 2012 · cited 377 times (Europe PMC)
  • Research article Up-regulation of glial fibrillary acidic protein in response to retinal injury: its potential role in glial remodeling and a comparison to vimentin expression [9]
    Lewis GP, Fisher SK · Int Rev Cytol · 2003 · cited 318 times (Europe PMC)
  • Research article Increased iron and free radical generation in preclinical Alzheimer disease and mild cognitive impairment [10]
    Smith MA, Zhu X, Tabaton M, Liu G, McKeel DW, Cohen ML, et al. · J Alzheimers Dis · 2010 · cited 310 times (Europe PMC)

References

  1. Seehawer M, Li Z, Nishida J, Foidart P, Reiter AH, Rojas-Jimenez E, et al.. Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3. . 2024. PMID 38926506 · DOI · PMC11251985
  2. Zhang J, Dong Y, Yu S, Hu K, Zhang L, Xiong M, et al.. IL-4/IL-4R axis signaling drives resistance to immunotherapy by inducing the upregulation of Fcγ receptor IIB in M2 macrophages. . 2024. PMID 39003253 · DOI · PMC11246528
  3. Jiang Y, Hui D, Pan Z, Yu Y, Liu L, Yu X, et al.. Curcumin promotes ferroptosis in hepatocellular carcinoma via upregulation of ACSL4. . 2024. PMID 39311951 · DOI · PMC11420324
  4. Challa SR, Baker IM, Fornal CA, Mada SR, Khan N, Jackson SN, et al.. B7-H3 upregulation in ischemic stroke: friend or foe?. . 2026. PMID 41620196 · DOI · PMC13318485
  5. Chen G, Zhang YQ, Qadri YJ, Serhan CN, Ji RR. Microglia in Pain: Detrimental and Protective Roles in Pathogenesis and Resolution of Pain. Neuron. 2018. PMID 30571942 · DOI · PMC6312407
  6. Kilavik BE, Zaepffel M, Brovelli A, MacKay WA, Riehle A. The ups and downs of β oscillations in sensorimotor cortex. Exp Neurol. 2013. PMID 23022918 · DOI
  7. Wahlestedt C. Targeting long non-coding RNA to therapeutically upregulate gene expression. Nat Rev Drug Discov. 2013. PMID 23722346 · DOI
  8. Vasudevan S. Posttranscriptional upregulation by microRNAs. Wiley Interdiscip Rev RNA. 2012. PMID 22072587 · DOI
  9. Lewis GP, Fisher SK. Up-regulation of glial fibrillary acidic protein in response to retinal injury: its potential role in glial remodeling and a comparison to vimentin expression. Int Rev Cytol. 2003. PMID 14692684 · DOI
  10. Smith MA, Zhu X, Tabaton M, Liu G, McKeel DW, Cohen ML, et al.. Increased iron and free radical generation in preclinical Alzheimer disease and mild cognitive impairment. J Alzheimers Dis. 2010. PMID 20061651 · DOI · PMC2842004

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

See how EvidenceLib is built. Spotted an error? Email support@evidencehelix.com.

Evidence strength

EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.

Included with the Researcher plan

Reading every article stays free. This computed view is part of the paid plans.

See plans Sign in

Your notes

Notes and highlights stay in this browser only; they are not sent to EvidenceHelix.

Related research topics

  • Down-RegulationPharmacology
  • Drug InteractionsPharmacology
  • Drug ResistancePharmacology
  • Drug TolerancePharmacology
  • HormesisPharmacology
  • Insulin ResistancePharmacology

All 99 articles in Pharmacology →

At a glance

120,829
PubMed records on this heading
16%
published since 2020
2,800
review articles
620
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Down-RegulationPharmacology
  • Drug InteractionsPharmacology
  • Drug ResistancePharmacology
  • Drug TolerancePharmacology
  • HormesisPharmacology

My notes & annotations (0)

Nothing yet. Select text and press Highlight, or write a note in the Notes tab. Stored in this browser only.

Sources

  • NLM MeSH record ↗
  • PubMed search used ↗

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Legal · Support