Titre : Glandes sudoripares

Glandes sudoripares : Questions médicales fréquentes

Termes MeSH sélectionnés :

Single-Cell Gene Expression Analysis

Questions fréquentes et termes MeSH associés

Diagnostic 5

#1

Comment diagnostiquer une hyperhidrose ?

Un diagnostic d'hyperhidrose se fait par l'examen clinique et l'historique médical.
Hyperhidrose Diagnostic médical
#2

Quels tests pour évaluer la fonction des glandes sudoripares ?

Des tests comme le test de sudation ou la thermographie peuvent être utilisés.
Tests de sudation Glandes sudoripares
#3

Quels signes indiquent une infection des glandes sudoripares ?

Rougeur, douleur, et écoulement de pus autour des glandes peuvent indiquer une infection.
Infection Glandes sudoripares
#4

Comment différencier les types de sudation ?

La sudation peut être classée en primaire ou secondaire selon la cause sous-jacente.
Sudation Hyperhidrose
#5

Quels symptômes nécessitent un examen médical ?

Une sudation excessive ou inhabituelle, accompagnée de douleurs, doit être évaluée.
Symptômes Glandes sudoripares

Symptômes 5

#1

Quels sont les symptômes d'une sudation excessive ?

Les symptômes incluent une transpiration excessive, souvent sans raison apparente.
Hyperhidrose Symptômes
#2

Comment reconnaître une sudation nocturne ?

La sudation nocturne se manifeste par une transpiration excessive pendant le sommeil.
Sudation nocturne Glandes sudoripares
#3

Quels signes indiquent une déshydratation liée à la transpiration ?

Soif intense, sécheresse de la bouche et fatigue peuvent signaler une déshydratation.
Déshydratation Transpiration
#4

Quels symptômes accompagnent une infection des glandes sudoripares ?

Rougeur, gonflement et douleur autour des glandes sont des signes d'infection.
Infection Glandes sudoripares
#5

Quels symptômes peuvent indiquer une maladie sous-jacente ?

Une sudation excessive avec d'autres symptômes comme fièvre ou perte de poids peut alerter.
Maladies sous-jacentes Hyperhidrose

Prévention 5

#1

Comment prévenir la sudation excessive ?

Éviter les aliments épicés, porter des vêtements légers et rester hydraté peut aider.
Prévention Hyperhidrose
#2

Quels conseils pour gérer la transpiration en été ?

Porter des vêtements en coton et utiliser des antitranspirants peut réduire la transpiration.
Transpiration Été
#3

Comment éviter les irritations cutanées dues à la transpiration ?

Utiliser des poudres absorbantes et garder la peau sèche aide à prévenir les irritations.
Irritations cutanées Transpiration
#4

Quels produits peuvent aider à contrôler la transpiration ?

Des produits contenant de l'aluminium chlorhydrate sont efficaces pour contrôler la transpiration.
Produits de soin Hyperhidrose
#5

Comment l'hygiène personnelle aide-t-elle à prévenir les problèmes ?

Une bonne hygiène réduit les risques d'infections et d'irritations liées à la transpiration.
Hygiène personnelle Glandes sudoripares

Traitements 5

#1

Quels traitements pour l'hyperhidrose ?

Les traitements incluent les antitranspirants, la thérapie par ionophorèse et la chirurgie.
Hyperhidrose Traitements
#2

Comment les antitranspirants fonctionnent-ils ?

Ils bloquent temporairement les glandes sudoripares pour réduire la transpiration.
Antitranspirants Glandes sudoripares
#3

Quelles sont les options chirurgicales pour la sudation excessive ?

La sympathectomie thoracique est une option chirurgicale pour traiter l'hyperhidrose.
Chirurgie Hyperhidrose
#4

Quels médicaments peuvent aider à réduire la transpiration ?

Des médicaments anticholinergiques peuvent être prescrits pour diminuer la sudation.
Médicaments Hyperhidrose
#5

Comment la thérapie par ionophorèse fonctionne-t-elle ?

Elle utilise un courant électrique pour réduire l'activité des glandes sudoripares.
Thérapie par ionophorèse Glandes sudoripares

Complications 5

#1

Quelles complications peuvent survenir avec l'hyperhidrose ?

Les complications incluent des infections cutanées et des problèmes psychologiques.
Complications Hyperhidrose
#2

Comment l'hyperhidrose affecte-t-elle la qualité de vie ?

Elle peut entraîner de l'anxiété, de l'embarras et des difficultés sociales.
Qualité de vie Hyperhidrose
#3

Quels risques d'infection liés à la transpiration ?

Une transpiration excessive peut favoriser la prolifération bactérienne et les infections.
Infections Transpiration
#4

Comment gérer les complications psychologiques ?

La thérapie cognitive et le soutien psychologique peuvent aider à gérer l'anxiété.
Complications psychologiques Hyperhidrose
#5

Quelles sont les conséquences d'une déshydratation sévère ?

Une déshydratation sévère peut entraîner des complications graves comme des troubles cardiaques.
Déshydratation Complications

Facteurs de risque 5

#1

Quels facteurs augmentent le risque d'hyperhidrose ?

Les facteurs incluent l'hérédité, le stress, et certaines conditions médicales.
Facteurs de risque Hyperhidrose
#2

Comment le stress influence-t-il la transpiration ?

Le stress active le système nerveux sympathique, augmentant la transpiration.
Stress Transpiration
#3

Quels médicaments peuvent aggraver la sudation ?

Certains antidépresseurs et médicaments pour la thyroïde peuvent augmenter la transpiration.
Médicaments Hyperhidrose
#4

Comment l'obésité influence-t-elle la transpiration ?

L'obésité peut augmenter la transpiration en raison de la chaleur corporelle excessive.
Obésité Transpiration
#5

Quels rôles jouent les hormones dans la sudation ?

Les fluctuations hormonales, comme pendant la ménopause, peuvent augmenter la transpiration.
Hormones Hyperhidrose
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"@type": "Question", "name": "Comment l'hyperhidrose affecte-t-elle la qualité de vie ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Elle peut entraîner de l'anxiété, de l'embarras et des difficultés sociales." } }, { "@type": "Question", "name": "Quels risques d'infection liés à la transpiration ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Une transpiration excessive peut favoriser la prolifération bactérienne et les infections." } }, { "@type": "Question", "name": "Comment gérer les complications psychologiques ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "La thérapie cognitive et le soutien psychologique peuvent aider à gérer l'anxiété." } }, { "@type": "Question", "name": "Quelles sont les conséquences d'une déshydratation sévère ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Une déshydratation sévère peut entraîner des complications graves comme des troubles cardiaques." } }, { "@type": "Question", "name": "Quels facteurs augmentent le risque d'hyperhidrose ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'hérédité, le stress, et certaines conditions médicales." } }, { "@type": "Question", "name": "Comment le stress influence-t-il la transpiration ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Le stress active le système nerveux sympathique, augmentant la transpiration." } }, { "@type": "Question", "name": "Quels médicaments peuvent aggraver la sudation ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Certains antidépresseurs et médicaments pour la thyroïde peuvent augmenter la transpiration." } }, { "@type": "Question", "name": "Comment l'obésité influence-t-elle la transpiration ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "L'obésité peut augmenter la transpiration en raison de la chaleur corporelle excessive." } }, { "@type": "Question", "name": "Quels rôles jouent les hormones dans la sudation ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Les fluctuations hormonales, comme pendant la ménopause, peuvent augmenter la transpiration." } } ] } ] }
Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 03/04/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Xiaobing Fu

11 publications dans cette catégorie

Affiliations :
  • School of Medicine, Nankai University, 94 Weijin Road, Tianjin, 300071, PR China.
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.
  • Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, PR China.

Bin Yao

8 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.
  • Academy of Medical Engineering and Translational Medicine, Tianjin University, 92 Weijin Road, Tianjin, 300072, PR China.

Sha Huang

8 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.

Wei Song

7 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.

Haihong Li

7 publications dans cette catégorie

Affiliations :
  • Department of Wound Repair and Dermatologic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei. lihaihong1051@126.com.

Zhao Li

6 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.

Cuiping Zhang

4 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration affiliated to the Medical Innovation Research Department and Fourth Medical Center of PLA General Hospital, Beijing, China. Electronic address: zcp666666@sohu.com.

Liyun Chen

4 publications dans cette catégorie

Affiliations :
  • Department of Plastic Surgery and Burn Center, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.

Tian Hu

4 publications dans cette catégorie

Affiliations :
  • 2Key Laboratory of Tissue Repair and Regeneration of PLA, and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Fourth Medical Center of General Hospital of PLA, Beijing, 100048 People's Republic of China.

Xingyu Yuan

3 publications dans cette catégorie

Affiliations :
  • School of Medicine, Nankai University, 94 Weijin Road, Tianjin, 300071, PR China.
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.

Xianlan Duan

3 publications dans cette catégorie

Affiliations :
  • School of Medicine, Nankai University, 94 Weijin Road, Tianjin, 300071, PR China.
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.

None Enhejirigala

3 publications dans cette catégorie

Affiliations :
  • College of Graduate, Tianjin Medical University, Tianjin, 300070, PR China.
  • Institute of Basic Medical Research, Inner Mongolia Medical University, Hohhot, 010110, Inner Mongolia, PR China.

Yuzhen Wang

3 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department, PLA General Hospital, 28 Fuxing Road, Beijing, 100853, PR China.
  • PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Chinese PLA General Hospital and PLA Medical College, 51 Fucheng Road, Beijing, 100048, PR China.
  • Department of Burn and Plastic Surgery, Air Force Hospital of Chinese PLA Central Theater Command, Datong, 037000, Shanxi, PR China.

Lei Zhang

3 publications dans cette catégorie

Affiliations :
  • Department of Mental Health, Southern University of Science and Technology Hospital, Southern University of Science and Technology School of Medicine, Shenzhen, Guangdong. zhanglei1051@126.com.

Yijie Zhang

3 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration affiliated to the Medical Innovation Research Department, PLA General Hospital and PLA Medical College, 28 Fu Xing Road, Beijing 100853, P. R. China.

Xiaoyan Sun

3 publications dans cette catégorie

Affiliations :
  • Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College, PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration, Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing, 100048, PR China. Electronic address: yanzisun1979@sina.com.

Bernard Cribier

3 publications dans cette catégorie

Affiliations :
  • CARADERM, French Network of Rare Cutaneous Cancer.
  • Clinique Dermatologique, Hôpitaux Universitaires & Université de Strasbourg, Hôpital Civil, Strasbourg, France.

Maxime Battistella

3 publications dans cette catégorie

Affiliations :
  • CARADERM, French Network of Rare Cutaneous Cancer.
  • Department of Pathology, Hopital Saint Louis, AP-HP Universite ́ Paris 7, Paris.

Xiang Zhang

3 publications dans cette catégorie

Affiliations :
  • Department of Wound Repair and Dermatologic Surgery, Taihe Hospital, Hubei University of Medicine, 32 South Renmin Road, Shiyan 442000, Hubei Province, P.R. China.

Lijie Du

3 publications dans cette catégorie

Affiliations :
  • Department of Wound Repair and Dermatologic Surgery, Taihe Hospital, Hubei University of Medicine, 32 South Renmin Road, Shiyan 442000, Hubei Province, P.R. China.

Sources (10000 au total)

scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis.

Single-cell (SC) gene expression analysis is crucial to dissect the complex cellular heterogeneity of solid tumors, which is one of the main obstacles for the development of effective cancer treatment... scMuffin provides a series of functions to calculate qualitative and quantitative scores, such as: expression of marker sets for normal and tumor conditions, pathway activity, cell state trajectories,... The analyses offered by scMuffin and the results achieved in the case study show that our tool helps addressing the main challenges in the bioinformatics analysis of SC expression data from solid tumo...

Robustness of single-cell RNA-seq for identifying differentially expressed genes.

A common feature of single-cell RNA-seq (scRNA-seq) data is that the number of cells in a cell cluster may vary widely, ranging from a few dozen to several thousand. It is not clear whether scRNA-seq ... We addressed this question by performing scRNA-seq and poly(A)-dependent bulk RNA-seq in comparable aliquots of human induced pluripotent stem cells-derived, purified vascular endothelial and smooth m... Findings of the current study provide a quantitative reference for designing studies that aim for identifying DEGs for specific cell clusters using scRNA-seq data and for interpreting results of such ...

Feature selection followed by a novel residuals-based normalization that includes variance stabilization simplifies and improves single-cell gene expression analysis.

Normalization is a crucial step in the analysis of single-cell RNA-sequencing (scRNA-seq) counts data. Its principal objectives are reduction of systematic biases primarily introduced through technica...

Deconvolution from bulk gene expression by leveraging sample-wise and gene-wise similarities and single-cell RNA-Seq data.

The widely adopted bulk RNA-seq measures the gene expression average of cells, masking cell type heterogeneity, which confounds downstream analyses. Therefore, identifying the cellular composition and... We propose a new deconvolution algorithm, DSSC, which infers cell type-specific gene expression and cell type proportions of heterogeneous samples simultaneously by leveraging gene-gene and sample-sam... DSSC provides a practical and promising alternative to the experimental techniques to characterize cellular composition and heterogeneity in the gene expression of heterogeneous samples....

scMEB: a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data.

Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing (scRNA-seq) data. Obtaining a perfect clustering result is of central importance f... Here, we propose single-cell minimum enclosing ball (scMEB), a novel and fast method for detecting single-cell DEGs without prior cell clustering results. The proposed method utilizes a small part of ... We compared scMEB to two different approaches that could be used to identify DEGs without cell clustering. The investigation of 11 real datasets revealed that scMEB outperformed rival methods in terms...

Single-cell transcriptome analysis reveals the key genes associated with macrophage polarization in liver cancer.

The aim of this study was to reveal the key genes associated with macrophage polarization in liver cancer.... Data were downloaded from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas databases (TCGA). R package Seurat 4.0 was used to preprocess the downloaded single-cell sequencing data, princi... Two thousand highly variable genes were obtained after the normalization of single-cell profiles. In all, 16 principal components and 15 cell clusters were obtained. Monocytes and macrophages were the... The key genes associated with macrophage polarization, namely CD53, TGFBI, S100A4, pyruvate kinase M, LSP1, and SPP1, may be potential therapeutic targets for liver cancer....

Single-cell transcriptome analysis profiles the expression features of TMEM173 in BM cells of high-risk B-cell acute lymphoblastic leukemia.

As an essential regulator of type I interferon (IFN) response, TMEM173 participates in immune regulation and cell death induction. In recent studies, activation of TMEM173 has been regarded as a promi... Quantitative real-time PCR (qRT-PCR) and western blotting (WB) were applied to determine the mRNA and protein levels of TMEM173 in peripheral blood mononuclear cells (PBMCs). TMEM173 mutation status w... The mRNA and protein levels of TMEM173 were increased in PBMCs from B-ALL patients. Besides, frameshift mutation was presented in TMEM173 sequences of 2 B-ALL patients. ScRNA-seq analysis identified t... Our findings provide insights into the transcriptomic features of TMEM173 in the BM of high-risk B-ALL patients. Targeted activation of TMEM173 in specific cells might provide new therapeutic strategi...

Integrated analysis of single-cell RNA-seq and chipset data unravels PANoptosis-related genes in sepsis.

The poor prognosis of sepsis warrants the investigation of biomarkers for predicting the outcome. Several studies have indicated that PANoptosis exerts a critical role in tumor initiation and developm... We obtained Sepsis samples and scRNA-seq data from the GEO database. PANoptosis-related genes were subjected to consensus clustering and functional enrichment analysis, followed by identification of d... Unsupervised clustering analysis using 16 PANoptosis-related genes identified three subtypes of sepsis. Kaplan-Meier analysis showed significant differences in patient survival among the subtypes, wit... We developed a machine learning based Boruta algorithm for profiling PANoptosis related subgroups with in predicting survival and clinical features in the sepsis....

Integrating the characteristic genes of macrophage pseudotime analysis in single-cell RNA-seq to construct a prediction model of atherosclerosis.

Macrophages play an important role in the occurrence and development of atherosclerosis. However, few existing studies have deliberately analyzed the changes in characteristic genes in the process of ... Carotid atherosclerotic plaque single-cell RNA (scRNA) sequencing data were analyzed to define the cells involved and determine their transcriptomic characteristics. KEGG enrichment analysis, CIBERSOR... Nine cell clusters were identified. M1 macrophages, M2 macrophages, and M2/M1 macrophages were identified as three clusters within the macrophages. According to pseudotime analysis, M2/M1 macrophages ... IL1RN...