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Peripheral Artery Disease I: Introduction01:30

Peripheral Artery Disease I: Introduction

Peripheral artery disease (PAD) predominantly results from atherosclerosis, which involves the accumulation of fatty deposits, or plaques, within the walls of arteries. This causes them to narrow and harden, significantly reducing blood flow. PAD predominantly affects the legs, particularly the arteries supplying the thighs and calves. In rare cases, it may involve other arteries, including those in the arms.Etiology of PAD:The principal cause of PAD is atherosclerosis, which results from fatty...
Chronic Inflammation: Introduction01:12

Chronic Inflammation: Introduction

Chronic inflammation is a prolonged, dysregulated immune response that persists for weeks to years when the inciting stimulus is difficult to eradicate or when self‑antigens drive ongoing reactivity. Morphologically, it is defined by mononuclear cell infiltration, progressive tissue destruction, and concurrent attempts at healing via angiogenesis and fibrosis. Compared with acute inflammation, edema is less prominent while cellular infiltration predominates; triggers include persistent...
Diabetic Foot Ulcer01:31

Diabetic Foot Ulcer

Definition A diabetic foot ulcer (DFU) is a chronic, non-healing wound that develops in individuals with diabetes. It typically occurs on pressure-bearing areas such as the heel, metatarsal heads, or hallux, and carries a high risk of infection and amputation.Pathophysiology • The development of DFUs can be explained by four interconnected mechanisms: neuropathy, ischemia, infection, and impaired wound healing. • Neuropathy is the most common factor. Sensory neuropathy reduces pain perception,...
Healing II: Complications01:24

Healing II: Complications

Complications during healing arise when tissue repair is altered by local or systemic factors. These changes involve abnormal collagen deposition, altered biomechanics, and reduced vascular supply, impairing restoration of normal structure and function.Loss of FunctionScar tissue differs significantly from the original tissue it replaces. In the skin, fibrosis lacks adnexal structures such as hair follicles, sebaceous glands, and sweat glands. Their absence reduces tactile sensitivity, impairs...
Peripheral Artery Disease V: Postoperative Nursing Management01:23

Peripheral Artery Disease V: Postoperative Nursing Management

During the postoperative period, it is crucial to focus on maintaining circulation, identifying and managing potential complications, and planning for discharge.Nursing AssessmentVital signs monitoring: Regularly monitor vital signs, including blood pressure, heart rate, respiratory rate, and temperature, to detect early signs of complications such as bleeding and infection.Circulation assessment: Monitor pulses, perform Doppler assessments, and check capillary refill, color, temperature, and...
Acute Inflammation II: Local and Systemic Effects01:25

Acute Inflammation II: Local and Systemic Effects

Acute inflammation produces a coordinated set of local and systemic changes that limit injury, eliminate pathogens, and initiate repair. These responses arise within minutes of infection, trauma, or chemical insult and are driven by vascular alterations and leukocyte-derived mediators. When the stimulus resolves, the reaction typically abates within days.Local EffectsAt the site of injury, arteriolar vasodilation increases blood flow, resulting in redness and warmth. Simultaneously, increased...

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Related Experiment Video

Updated: May 13, 2026

Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration
10:37

Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration

Published on: June 9, 2023

Inflammatory "adiposopathy" in major amputation patients.

Christine R Mauro1, Binh T Nguyen, Peng Yu

  • 1Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

Annals of Vascular Surgery
|March 19, 2013
PubMed
Summary

Obese patients undergoing major amputation exhibit a pro-inflammatory adipose tissue profile compared to knee replacement patients. Clinical factors like age and hyperlipidemia, not BMI, predict this adipose phenotype.

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Identification and Dissection of Diverse Mouse Adipose Depots
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Identification and Dissection of Diverse Mouse Adipose Depots

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Last Updated: May 13, 2026

Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration
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Identification and Dissection of Diverse Mouse Adipose Depots
06:31

Identification and Dissection of Diverse Mouse Adipose Depots

Published on: July 11, 2019

Area of Science:

  • Adipose tissue biology
  • Clinical determinants of adipose phenotype
  • Surgical patient outcomes

Background:

  • Obesity's health impact is well-documented, yet "healthy obese" states and adipose phenotype determinants remain unclear.
  • Major amputation (AMP) patients represent extreme illness, contrasting with elective knee replacement (TKR) patients.
  • Investigating adipose tissue from AMP and TKR patients can reveal variability and clinical drivers of adipose biology.

Purpose of the Study:

  • To delineate human adipose biology variability by comparing AMP and TKR patient adipose tissue.
  • To identify clinical determinants associated with pro-inflammatory adipokine signatures in adipose tissue.
  • To test the hypothesis that specific clinical conditions independently drive elevated adipose inflammation.

Main Methods:

  • Prospective collection of subcutaneous adipose tissue and clinical data from AMP (n=29) and TKR (n=20) patients.
  • Protein isolation and analysis of 8 adipose-related mediators.
  • Statistical analysis using Wilcoxon's rank sum test, Fisher's exact test, and multiple linear regression.

Main Results:

  • Differential expression of Interleukin-6, IL-8, leptin, resistin, and PAI-1 between AMP and TKR cohorts (up to 200-fold).
  • Clinical parameters associated with adipose phenotype included age, gender, hypertension, hyperlipidemia, congestive heart failure, cerebrovascular disease, renal disease, and medication use (warfarin, statin, insulin).
  • Body Mass Index (BMI) was not a predictive factor for adipose phenotype.

Conclusions:

  • AMP patients exhibit adiposopathy with a pro-inflammatory adipose phenotypic signature compared to TKR controls.
  • Clinical conditions such as age, hyperlipidemia, and renal insufficiency significantly influence adipokine expression, while BMI does not.
  • Understanding adipose phenotypic determinants is crucial for future research on adipose biology and surgical outcomes.