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Lactation mastitis: Promising alternative indicators for early diagnosis
Qian Huang1, Xue-Mei Zheng1, Mao-Lin Zhang2
1School of Medicine, University of Electronic Science and Technology of China, Chengdu 610000, Sichuan Province, China.
World Journal of Clinical Cases
|November 17, 2022
Summary
Lactation mastitis (LM) indicators like milk electrolytes and electrical conductivity (EC) show early changes in animals. This review explores their potential for diagnosing human subclinical mastitis.
Area of Science:
- Veterinary Medicine
- Biochemistry
- Clinical Diagnostics
Background:
- Lactation mastitis (LM) remains a significant clinical challenge with high incidence rates.
- Early and specific quantitative indicators are crucial for reducing LM incidence and improving prognosis.
- Milk electrolyte concentrations and electrical conductivity (EC) are known to change in early-stage LM in animal models.
Purpose of the Study:
- To review the pathogenesis and mechanisms of LM concerning milk electrolyte concentrations and EC.
- To explore the potential of these indicators for the early detection of subclinical mastitis in humans.
- To provide novel insights for diagnosing human LM.
Main Methods:
- Review of existing scientific literature on LM, milk electrolytes, and EC.
- Analysis of studies evaluating EC for subclinical mastitis detection in cows.
- Synthesis of findings regarding changes in milk chloride, potassium, and sodium concentrations during LM.
Main Results:
- Milk electrolyte concentrations (chloride, potassium, sodium) and EC significantly alter in early LM stages in animal models.
- EC, chloride, and sodium content are more accurate predictors of infection status than other variables in cows.
- In early LM, milk sodium, chloride, and EC increase, while potassium decreases.
Conclusions:
- Milk electrolyte levels and EC show promise as early diagnostic markers for LM.
- These indicators, studied in animals, have not been widely reported for human LM diagnosis.
- Further research is warranted to validate these markers for human subclinical mastitis detection.

