Meta-analysis of the efficacy of acupuncture in the treatment of low back fasciitis.

BACKGROUND: Acupuncture has unique advantages in the treatment of low back fasciitis and has been paid increasing attention. At present, many studies have summarized the efficacy of acupuncture and moxibustion in the treatment of low back fasciitis, but few have been summarized from the perspective of acupuncture alone. AIM: To evaluate the clinical efficacy of acupuncture in the treatment of lumbodorsal fasciitis by meta-analysis. METHODS: The randomized controlled trials (RCT) of acupuncture in the treatment of low back fasciitis were searched in Pubmed, Embase, and Cochrane Library from the data of establishment to July 2023. Two authors independently conducted document screening, data abstraction, and qualitative assessment. RevMan 5.3 software and Stata 17.0 software were used for data analysis. The quantitative data were represented by mean difference (MD). The qualitative data were represented by odds ratio (OR). RESULTS: Finally, a total of 12 RCTs with a total sample size of 930 cases were included, of which 461 patients received simple acupuncture treatment (Group A) and 469 patients received non-simple acupuncture treatment (Group B). The results of the meta-analysis showed that: (1) Clinical total effective rate: The results of subgroup analysis showed that the clinical total effective rate of acupuncture was significantly higher than that of Western medicine [OR = 12.72, 95% CI (2.26, 71.78), P = 0.004]; the total effective rate of the traditional Chinese medicine therapy was significantly higher than that of acupuncture [OR = 0.35, 95% CI (0.19, 0.65), P < 0.001]. (2) Score of the visual analog scale (VAS) after treatment: There was no significant difference in VAS score between Group A and Group B after treatment [MD = -0.22, 95% CI (-1.56, 1.12), P = 0.75]. (3) Oswestry disability index after treatment: The results of subgroup analysis showed that the Oswestry disability index after treatment of acupuncture was significantly lower than that of Western medicine therapy [MD = -0.05, 95% CI (-0.10, -0.00), P = 0.04]; the Oswestry disability index of Chinese medicine therapy was significantly lower than that of acupuncture alone [WD = 0.10, 95% CI (0.05, 0.15), P < 0.001]. CONCLUSION: In the treatment of low back fasciitis, simple acupuncture therapy is superior to Western medicine therapy in improving treatment efficiency and low back muscle dysfunction, but slightly inferior to other traditional Chinese medicine therapies. Due to the limited efficacy of acupuncture, it is recommended to combine other therapies to improve the efficacy. Due to the small number of RTCs included and the unclear evaluation of many bias risks, high-quality, large sample randomized controlled studies are still needed to prove it.

Methodology for Effect-Based Identification of Bioconcentratable Endocrine Disrupting Chemicals (EDCs) in Water: Establishment, Validation, and Application.

Since the wide occurrence of endocrine disrupting chemicals (EDCs) in water is associated with various adverse effects in aquatic organisms, it is urgent to identify key bioconcentratable EDCs. Currently, bioconcentration is generally ignored during the identification of key EDCs. Thus, a methodology for effect-based identification of bioconcentratable EDCs was established in Microcosm, validated in the field, and applied to typical surface water in Taihu Lake. In Microcosm, an inverted U-shaped relationship between logBCFs and logKows was observed for typical EDCs, with medium hydrophobic EDCs (3 ≤ logKow ≤ 7) exhibiting the greatest bioconcentration potentials. On this basis, enrichment methods for bioconcentratable EDCs were established using POM and LDPE, which better fitted the bioconcentration characteristics and enabled the enrichment of 71 ± 8% and 69 ± 6% bioconcentratable compounds. The enrichment methods were validated in the field, where LDPE exhibited a more significant correlation with the bioconcentration characteristics than POM, with mean correlation coefficients of 0.36 and 0.15, respectively, which was selected for further application. By application of the new methodology in Taihu Lake, 7 EDCs were prioritized from 79 identified EDCs as key bioconcentratable EDCs on consideration of their great abundance, bioconcentration potentials, and anti-androgenic potencies. The established methodology could support the evaluation and identification of bioconcentratable contaminants.

Identification of high-concern organic pollutants in tap waters from the Yangtze River in China based on combined screening strategies.

Recently, numerous organic pollutants have been detected in water environment. The safety of our drinking water has attracted widespread attention. Effective methods to screen and identify high-concern substances are urgently needed. In this study, the combined workflow for the detection and identification of high-concern organic chemicals was established and applied to tap water samples from the Yangtze River Basin. The solid phase extraction (SPE) sorbents were compared and evaluated and finally the HLB cartridge was selected as the best one for most of the contaminants. Based on target, suspect and non-target analysis, 3023 chemicals/peaks were detected. Thirteen substances such as diundecyl phthalate (DUP), 2-hydroxyatrazine, dioxoaminopyrine and diethyl-2-phenylacetamide were detected in drinking water in the Yangtze River Basin for the very first time. Based on three kinds of prioritization principles, 49 ubiquitous, 103 characteristic chemicals and 13 inefficiently removed chemicals were selected as high-concern substances. Among them, 8, 31, 9, 3, 4 substances overlapped with the toxic, risky or high-concern chemicals lists in China, America, European Union, Japan, Korea, respectively. Specific management and removal strategies were further recommended. The workflow is efficient for identification of key pollutants.

Effect-Directed Analysis Based on the Reduced Human Transcriptome (RHT) to Identify Organic Contaminants in Source and Tap Waters along the Yangtze River.

Since a large number of contaminants are detected in source waters (SWs) and tap waters (TWs), it is important to perform a comprehensive effect evaluation and key contributor identification. A reduced human transcriptome (RHT)-based effect-directed analysis, which consisted of a concentration-dependent RHT to reveal the comprehensive effects and noteworthy pathways and systematic identification of key contributors based on the interactions between compounds and pathway effects, was developed and applied to typical SWs and TWs along the Yangtze River. By RHT, 42% more differentially expressed genes and 33% more pathways were identified in the middle and lower reaches, indicating heavier pollution. Hormone and immune pathways were prioritized based on the detection frequency, sensitivity, and removal efficiency, among which the estrogen receptor pathway was the most noteworthy. Consistent with RHT, estrogenic effects were widespread along the Yangtze River based on in vitro evaluations. Furthermore, 38 of 100 targets, 39 pathway-related suspects, and 16 estrogenic nontargets were systematically identified. Among them, diethylstilbestrol was the dominant contributor, with the estradiol equivalent (EEQ) significantly correlated with EEQwater. In addition, zearalenone and niclosamide explained up to 54% of the EEQwater. The RHT-based EDA method could support the effect evaluation, contributor identification, and risk management of micropolluted waters.